@inproceedings{MRL_AFM_VR_Multi_Modal_Display,

title = {RecyGlide: A Forearm-Worn Multi-Modal Haptic Display Aimed to Improve User VR Immersion Submission},

author = {Juan Heredia and Jonathan Tirado and Vladislav Panov and Miguel Altamirano Cabrera and Kamal Youcef-Toumi and Dzmitry Tsetserukou},

url = {https://doi.org/10.1145/3359996.3364759},

doi = {10.1145/3359996.3364759},

isbn = {9781450370011},

year  = {2019},

date = {2019-11-01},

booktitle = {25th ACM Symposium on Virtual Reality Software and Technology},

pages = {1-2},

publisher = {Association for Computing Machinery},

abstract = {Haptic devices have been employed to immerse users in VR environments. In particular, hand and finger haptic devices have been deeply developed. However, this type of devices occludes hand detection for some tracking systems, or, for some other tracking systems, it is uncomfortable for the users to wear two different devices (haptic and tracking device) on both hands. We introduce RecyGlide, a novel wearable multimodal display located at the forearm. The RecyGlide is composed of inverted five-bar linkages with 2 degrees of freedom (DoF) and vibration motors (see Fig. 1.(a). The device provides multimodal tactile feedback such as slippage, force vector, pressure, and vibration. We tested the discrimination ability of monomodal and multimodal stimuli patterns on the forearm and confirmed that the multimodal patterns have higher recognition rate. This haptic device was used in VR applications, and we proved that it enhances VR experience and makes it more interactive.},

keywords = {Computational Intelligence, Control Theory, Data-driven learning for intelligent machine maintenance, Experimentation, intelligent systems, Mechatronic Design, Simulation, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_AFM_Shaft_Sensor_Health_Monitoring,

title = {Design of Versatile and Low-Cost Shaft Sensor for Health Monitoring},

author = {Erik Gest and Mikio Furokawa and Takayuki Hirano and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/8794408},

doi = {10.1109/ICRA.2019.8794408},

isbn = {978-1-5386-6027-0},

year  = {2019},

date = {2019-08-12},

pages = {1926-1932},

publisher = {IEEE},

organization = {IEEE},

abstract = {Virtually every mechanized form of transportation, power generation system, industrial equipment, and robotic system has rotating shafts. As the shaft is often the main means of mechanical power transmission, measuring the torque, speed, vibration, and bending of the shaft can be used in many cases to access device performance and health and to implement controls. This paper proposes a shaft sensor that measures all of these phenomena with reasonable accuracy while having a low cost and simple installation process. This sensor transfers strain from the shaft and amplifies it to increase sensitivity. Furthermore, this sensor requires no components to be in the stationary reference frame, allowing the entire device to rotate with the shaft. A prototype is presented. Experimental results illustrate the effectiveness of the proposed system.},

keywords = {Control Theory, Data-driven learning for intelligent machine maintenance, Experimentation, Fabrication, Instrumentation, intelligent systems, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_WDP_In_Pipe_Missions,

title = {Design of a maneuverable swimming robot for in-pipe missions},

author = {You Wu and Antoine Noel and David Donghyun Kim and Kamal Youcef-Toumi and Rached Ben-Mansour},

url = {https://ieeexplore.ieee.org/document/7354061},

doi = {10.1109/IROS.2015.7354061},

isbn = {978-1-4799-9994-1},

year  = {2015},

date = {2015-12-17},

booktitle = {2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},

pages = {4864-4871},

publisher = {IEEE},

organization = {IEEE},

abstract = {Autonomous underwater robots provide opportunities to perform missions in confined environments such as water pipe networks. They can carry sensors in these pipes and perform tasks such as mapping and inspection. Those robots must have a high level of maneuverability in order to navigate through complex networks of pipes with irregularities due to rust and calcite deposition. We propose a fully integrated, untethered robot capable of carrying sensors and maneuver into water pipe networks. The objective of this paper is to present (i) the optimal shape design and (ii) a propulsion system selection and sizing procedure for such robots. A prototype is built to demonstrate the basic elements of maneuverability, including following straight lines and making sharp turns.},

keywords = {Experimentation, Inspection; repair and intelligence for water distribution pipes, intelligent systems, Physical System Modeling, Simulation, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_UEC_Welfare_vs_DSM,

title = {A comparison of day-ahead wholesale market: Social welfare vs industrial demand side management},

author = {Bo Jiang and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/abstract/document/7125502?section=abstract},

doi = {10.1109/ICIT.2015.7125502},

isbn = {978-1-4799-7800-7},

year  = {2015},

date = {2015-06-18},

booktitle = {2015 IEEE International Conference on Industrial Technology (ICIT)},

pages = {2742-2749},

publisher = {IEEE},

organization = {IEEE},

abstract = {The intermittent nature of renewable energy has been discussed in the context of the operational challenges that it brings to electrical grid reliability. In contrast, Demand Side Management (DSM) with its ability to allow customers to adjust electricity consumption in response to market signals has often been recognized as an efficient way to mitigate the variable effects of renewable energy. However, the industrial & academic literature have taken divergent approaches to DSM implementation. Academic studies often implement demand side management on the basis of a social welfare maximization. Meanwhile, industrial implementations minimize total system costs where customers are compensated for load reductions from a predefined baseline of electricity consumption that would have occurred without DSM. This paper rigorously compares these two different approaches in a day-ahead wholesale market context using the same system configuration and mathematical formalism. The comparison showed that a proper reconciliation between the dispatchable demand utility function and the load reduction cost function lead to fundamentally the same stochastic netload mitigation and the two DSM models generate the same dispatch results under specific conditions. However, while the social welfare model uses a stochastic net load composed of two terms, the industrial DSM model uses a stochastic net load composed of three terms, and is thus more prone to error and more likely requires more control activity in subsequent layers of enterprise control.},

keywords = {Algorithms, intelligent systems, Physical System Modeling, Simulation, Uncertainty estimation and calibration for modeling},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_PVS_MPPT_Optimization,

title = {Rapid prototyping of PVS into FPGA: From model based design to FPGA/ASICs implementation},

author = {Sabrina Titri and Cherif Larbes and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/7038606},

doi = {10.1109/IDT.2014.7038606},

isbn = {978-1-4799-8200-4},

year  = {2015},

date = {2015-02-15},

booktitle = {2014 9th International Design and Test Symposium (IDT)},

pages = {162-167},

publisher = {IEEE},

organization = {IEEE},

abstract = {A wide variety of maximum power point tracking (MPPT) algorithms for photovoltaic systems (PVS) have been proposed and developed. These MPPT algorithms vary in many aspects such as the selected criteria and techniques used. In this paper, we propose an effective design methodology for hardware implementation of PVS into FPGA/ASICs. To achieve our goal, we propose the application of the model based design at high level using the Matlab/Simulink which includes the HDL Coder Tool. The approach will assist the designer to develop and prototype in a relatively short time by eliminating time consuming and error prone due to manual coding. The proposed design methodology has been applied to the well know Pertub and Observe (P&O) MPPT controller. The Matlab/Simulink model of the P&O controller is optimized and converted to target, Hardware Description Language (HDL) code for FPGA/ASIC. The whole architecture of the P&O controller has been implemented on a Xilinx Spartan 3E prototyping board. We demonstrate that the generated RTL code can be easily mapped into FPGA/ASICs, which allow the rapid prototyping of PVS with more complex algorithms.},

keywords = {Algorithms, intelligent systems, Modeling; sizing and control for smart grids, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_AVS_Robotic_Wildfire_Control,

title = {Controlling stochastic growth processes on lattices: Wildfire management with robotic fire extinguishers},

author = {Amith Somanath and Sertac Karaman and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/7039602},

doi = {10.1109/CDC.2014.7039602},

isbn = {978-1-4673-6090-6},

year  = {2015},

date = {2015-02-15},

booktitle = {53rd IEEE Conference on Decision and Control},

pages = {1432-1437},

publisher = {IEEE},

organization = {IEEE},

abstract = {Forest fires continue to cause considerable social and economic damage. Fortunately, the emergence of new robotics technologies, including capable autonomous unmanned aerial vehicles, may help improve wildfire management in the near future. In this paper, we characterize the number of vehicles required to combat wildfires, using a percolation-theoretic analysis that originated in the mathematical physics community. We model the wildfire as a stochastic growth process on a square lattice, where the local growth probabilities depend on the presence of robotic fire-extinguishing vehicles. We develop two control policies: First treats only a fraction of burning nodes at a given time, and the second treats burning nodes only at finite time intervals. We characterize the conditions under which these policies can stabilize a wildfire, i.e., ensure the fire stops eventually almost surely. We also provide computational results which demonstrate our theoretical analysis.},

keywords = {Algorithms, Computational Intelligence, Computer vision for autonomous vehicle sensing, intelligent systems, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Grid_Enterprise_Control,

title = {A power grid enterprise control method for energy storage system integration},

author = {Aramazd Muzhikyan and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/7028898},

doi = {10.1109/ISGTEurope.2014.7028898},

isbn = {978-1-4799-7720-8},

year  = {2015},

date = {2015-02-02},

booktitle = {IEEE PES Innovative Smart Grid Technologies, Europe},

pages = {1-6},

abstract = {Traditionally, power system balancing operations consist of three consecutive control techniques, namely security-constrained unit commitment (SCUC), security constrained economic dispatch (SCED), and automatic generation control (AGC). Each of these have their corresponding type of operating reserves. Similarly, energy storage systems (ESS) may be integrated as energy, load following, or regulation resources. A review of the existing literature shows that most ESS integration studies are focused on a single control function. In contrast, recent work on renewable energy integration has employed the concept of enterprise control where the multiple layers of balancing operations have been integrated into a single model to capture and potentially control the interactions between timescales. This paper now uses such an enterprise control model to demonstrate the multiple timescale effects as a consequence of ESS integration into a single control action. It also proposes a novel scheduling technique which beneficially exploits this coupling in two timescales. As a result, the ESS scheduling technique shows peak-loading shaving and operating costs reductions in the SCUC and load following reserve requirements in the SCED.},

keywords = {intelligent systems, Modeling; sizing and control of smart grids, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_AVS_AUV_RIM_Control,

title = {RIM Propeller for Micro Autonomous Underwater Vehicles},

author = {David Donghyun Kim and You Wu and Antoine Noel and Kamal Youcef-Toumi},

url = {https://asmedigitalcollection.asme.org/DSCC/proceedings/DSCC2014/46209/V003T44A005/229722},

doi = {10.1115/DSCC2014-6282},

isbn = {978-0-7918-4620-9},

year  = {2014},

date = {2014-12-19},

booktitle = {ASME 2014 Dynamic Systems and Control Conference},

publisher = {ASME},

organization = {ASME},

abstract = {Micro autonomous underwater vehicles (AUVs) need small-scale, powerful and safe propulsion systems especially when they are performing missions in pipes and other confined environments. However, the most conventional propulsion systems do not satisfy all three requirements: small, powerful and safe. A micro propulsion system meeting those requirements are developed based on the RIM propeller concept. It is compact and powerful; the complete motor-propeller assembly is 33mm in diameter, 12mm in depth and 16g in weight, and it is capable of producing 0.4N thrust in static water given a 7.1W power input. The paper presents the design, manufacturing and integration of the micro RIM propeller in an AUV.},

keywords = {Computer vision for autonomous vehicle sensing, Control Theory, Experimentation, Fabrication, intelligent systems, Mechatronic Design, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Integrated_Electric_Water,

title = {An Integrated Energy and Water Market for the Supply Side of the Energy-Water Nexus in the Engineered Infrastructure},

author = {William Lubega and Apoorva Santhosh and Amro M Farid and Kamal Youcef-Toumi},

url = {https://asmedigitalcollection.asme.org/POWER/proceedings/POWER2014/46094/V002T10A003/282270},

doi = {10.1115/POWER2014-32075},

isbn = {978-0-7918-4609-4},

year  = {2014},

date = {2014-11-19},

booktitle = {ASME 2014 Power Conference},

abstract = {In regions that utilize thermal desalination as part of their water supply portfolio, the cogeneration of water and power in cogeneration desalination plants couples the supply sides of the electricity and water grids. For a fixed plant design, there is a limited range of ratios of generated electric power to produced water at any given time. Due to this coupling, electricity and water require co-optimization. In an environment in which electricity supply is determined by deregulated wholesale markets, this need for co-optimization suggests a need for integrated electricity and water markets. In this market, independent power producers, independent water producers and independent cogeneration plants would submit bids to satisfy demand over a time horizon to a clearing mechanism, indicating relevant physical constraints. The mechanism would then optimize supply of both electricity and water over the time horizon of interest. Recently, a simultaneous co-optimization method has been contributed for the economic dispatch of networks that include water, power and cogeneration facilities in such an integrated market. This paper builds upon this foundation with the introduction of the corresponding unit commitment problem.},

keywords = {Algorithms, intelligent systems, Modeling; sizing and control for smart grids, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Reserve_Quantification,

title = {An enhanced method for the determination of load following reserves},

author = {Aramazd Muzhikyan and A M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6859254&isnumber=6858556},

doi = {10.1109/ACC.2014.6859254},

isbn = {978-1-4799-3274-0},

year  = {2014},

date = {2014-07-21},

booktitle = {2014 American Control Conference},

pages = {926-933},

publisher = {IEEE},

organization = {IEEE},

abstract = {Power generation reserves play a central role for maintaining the balance of generation and consumption. Reserves, scheduled in advance, compensate for forecast error, variability and transmission losses. However, as reserves are a costly commodity, their amount should be carefully assessed to prevent unnecessary expense. Currently, the quantity of required reserves are determined based upon a posteriori methods that use operator's experience and established assumptions. This paper instead presents a method founded upon non-dimensional numbers and digitial signal processing to determine the quantity of load following reserves a priori.},

keywords = {intelligent systems, Modeling; sizing and control of smart grids, Physical Systems Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_DDL_Thermal_Robot_Management,

title = {Analysis and control of a thermal management system for robots in temperature-restricted environments},

author = {Ethan B Heller and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6858774&isnumber=6858556},

doi = {10.1109/ACC.2014.6858774},

isbn = {978-1-4799-3274-0},

year  = {2014},

date = {2014-06-01},

booktitle = {2014 American Control Conference},

abstract = {Detailed simulations were performed with a model of a proposed thermal management system (TMS) that allows robots to operate within environments that are hostile to the free expulsion of waste heat. Previous simulations have shown that a closed-loop control method is necessary for the proposed TMS to maintain proper robot operation for long missions. A closed-loop control based on model-predictive methods was constructed in MATLAB around the model of the TMS so long missions are possible without violating any of the operating constraints of the robot or the environment. The closed-loop simulations results show that the control successfully maintains robot operation within the environment for a long mission.},

keywords = {Control Theory, Data-driven learning for intelligent machine maintenance, intelligent systems, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Multi_Agent_Micro_Grid,

title = {A multi-agent system transient stability platform for resilient self-healing operation of multiple microgrids},

author = {Sergio Rivera and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6816377},

doi = {10.1109/ISGT.2014.6816377},

isbn = {978-1-4799-3653-3},

year  = {2014},

date = {2014-05-19},

booktitle = {ISGT 2014},

pages = {1-5},

publisher = {IEEE},

organization = {IEEE},

abstract = {This paper proposes a multi-agent transient stability platform for the study of self-operation of multiple microgrids. This platform combines a MATLAB-based time domain simulation of the grid's transient stability with a JAVA-JADE (JAVA Agent DEvelopment Framework) which supports the development of multi-agent systems that utilize distributed artificial intelligence techniques that support simultaneous, geographically-distributed, and coordinated decision-making techniques. This hybrid platform leverages the numerical strengths of MATLAB with JAVA's multi-threaded decision-making capability. To that effect, the platform was tested on two complementary test cases: one to demonstrate a dynamic reconfiguration capability and another to demonstrate the decentralized dispatch of multiple microgrids. The work presents many opportunities for future developments in the domain of resilient self-healing operation of power grids.},

keywords = {Computational Intelligence, intelligent systems, Modeling; Systems and Control of Smart Grids, Physical System Modeling, Simulation, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Water_Plant_Sustainability,

title = {Optimal network flow for the supply side of the energy-water nexus},

author = {Apoorva Santhosh and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6698578},

doi = {10.1109/IWIES.2013.6698578},

isbn = {978-1-4799-1135-6},

year  = {2014},

date = {2014-01-06},

booktitle = {2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)},

pages = {155-160},

publisher = {IEEE},

organization = {IEEE},

abstract = {Clean energy and water are two essential resources that any society must securely deliver. Their usage raises sustainability issues and questions of nations' resilience in face of global changes and mega-trends such as population growth, global climate change, and economic growth. Recently, attention has been paid to the infrastructure systems for water distribution and power transmission and the coupling between them in what is commonly known as the energy-water nexus. Although numerous policy and regulatory agencies have addressed the subject, rarely is it holistically addressed in terms of an integrated engineering system for its management, planning, and regulation as an interdisciplinary concern. This work specifically addresses the supply side of this integrated engineering system framework. It takes as its subject the real-time optimal flows in power and water networks. Significant background literature is brought to bear on this topic including the emerging co-dispatch of power and water and the more well established optimizations for power and water networks individually. The work presents a mathematical optimization program for the co-dispatch of the two commodities for three types of plants: power generation plants, co-production facilities and water production plants. Production costs are minimized subject to capacity, demand and transmission constraints and demonstrated on an illustrative example of modest size developed from standard test cases. On a practical basis, the program can be applied directly in middle eastern countries where water and power distribution are typically under the responsibility of a single utility. Furthermore, the program provides a systematic method of achieving optimal results and can serve as a basis for set-points upon which individual plants can implement their optimal control. In so doing, it makes a supply-side contribution to the ongoing grand-challenge of improving the sustainability of the energy-water nexus.},

keywords = {Algorithms, intelligent systems, Modeling; sizing and control for smart grids, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Wind_Energy_Integration,

title = {An event triggered tracking state estimator for power systems with integrated wind generation},

author = {Reshma Francy and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6617292},

doi = {10.1109/PTC.2013.6652180},

isbn = {978-1-4673-5669-5},

year  = {2013},

date = {2013-11-04},

booktitle = {2013 IEEE Grenoble Conference},

pages = {1-6},

publisher = {IEEE},

organization = {IEEE},

abstract = {For many decades, state estimation has been a critical technology in the energy management systems utilized by transmission system operators. Over time, it has become a mature technology that provides an accurate representation of system state under fairly stable and well understood system operation. The integration of variable energy resources such as wind and solar generation, however, introduce new dynamics and uncertainties into the system. Along with increase in variability which needs real time monitoring, state estimation will be extended to the distribution networks which increase the size of the problem. Conventional solutions to this problem result in large problem sets being solved at a faster rate thereby becoming computationally intensive. This work builds upon the recent contribution of event-triggering where the state estimator is only called in the case of considerable “novelty” in the evolution of the system state. Specifically, the concept of tracking saves significant computational effort at minimal expense of error by allowing for the update of system state between two consecutive triggered instances. The new event-triggered tracking state estimator (ETTSE) is demonstrated on the standard IEEE 14-bus system, and the results are observed for a specific bus.},

keywords = {intelligent systems, Modelling; sizing and control of smart grids, Physical Systems Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Generalized_Reserve_Analysis,

title = {Variable energy resource induced power system imbalances: Mitigation by increased system flexibility, spinning reserves and regulation},

author = {Aramazd Muzhikyan and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6617292},

doi = {10.1109/SusTech.2013.6617292},

isbn = {978-1-4673-4630-6},

year  = {2013},

date = {2013-10-03},

booktitle = {2013 1st IEEE Conference on Technologies for Sustainability (SusTech)},

pages = {15-22},

publisher = {IEEE},

organization = {IEEE},

abstract = {The impact of variable energy resources (VER) on power system reserve and regulation requirements has been a subject of extensive research in recent years. However, the conclusions about the scale of the impact diverge, since most of the results are obtained from specific case studies. This paper proposes a generalized approach to the assessment of power system reserve and regulation requirements. It uses a power system enterprise model that consists of three layers: the physical grid, resource scheduling and balancing operations. Resource scheduling is modeled as a security-constrained unit-commitment (SCUC) problem. The balancing layer consists of three components, namely the regulation service, the real-time market and operator manual actions. The real-time market is implemented as a security-constrained economic dispatch (SCED) problem. The IEEE RTS96 reliability test system is used for the physical layer. Three main resources contributing to the balancing of power system are studied: reserves, regulation and generator ramping rates. Their impacts on power system imbalance mitigation in the presence of VER is studied.},

keywords = {Algorithms, intelligent systems, Modeling; sizing and control for smart grids, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Water_Networks_Storage,

title = {The impact of storage facilities on the simultaneous economic dispatch of power and water networks limited by ramping constraints},

author = {A Santhosh and Amro M Farid and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6505794},

doi = {10.1109/ICIT.2013.6505794},

isbn = {978-1-4673-4569-9},

year  = {2013},

date = {2013-04-23},

booktitle = {2013 IEEE International Conference on Industrial Technology (ICIT)},

pages = {922-927},

publisher = {IEEE},

organization = {IEEE},

abstract = {Recently, the production and consumption of energy and water resources and their potential coupling in what is often called the energy-water nexus has gained attention as an issue of global concern[1, 2]. Ultimately, a significant amount of water is required to produce energy and vice versa [2, 3]; motivating the need for co-optimization based approaches for the two resources. Recently, one such simultaneous co-optimization method has been contributed for the economic dispatch of networks that include water, power and co-production facilities [4]. That study showed that capacity and process constraints often limit total production cost. This paper seeks to add plant ramping behavior as potentially binding constraints and investigate the impact of water and storage facilities as a technology that can help alleviate binding constraints and lead to more levelized production and cost levels. The paper builds upon the optimization program provided in previous work [4] to develop two optimization programs with and without storage facilities and compares their respective results. Storage facilities are shown to reduce total operating costs and lead to more levelized daily production suggesting that they have an important role to play in the optimization of the energy-water nexus.},

keywords = {intelligent systems, Modelling; sizing and control of smart grids, Physical Systems Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Multi_Microgrid_Coordination,

title = {Coordination and Control of Multiple Microgrids Using Multi-Agent Systems},

author = {Sergio Rivera and Amro Farid and Kamal Youcef-Toumi},

url = {https://www.researchgate.net/publication/265042254_Coordination_and_Control_of_Multiple_Microgrids_Using_Multi-Agent_Systems},

doi = {10.1109/PTC.2013.6652180},

isbn = {978-1-4673-5669-5},

year  = {2013},

date = {2013-01-01},

booktitle = {Energypath 2013: Our Global Sustainable Energy Future},

abstract = {As distributed renewable generation sources continue to be integrated into the power grid, the concept of Microgrids has gained traction. Here, the integration challenge is not just in the control of an individual Microgrid but also in their coordination. This short communication presents a novel approach to inter-Microgrid coordination and control based upon Multi-Agent systems. An architecture based upon physical agents is presented and is implemented on a dual platform of JADE (environment for developing agents) and Matlab-Matpower (power system analysis tool). The implementation is demonstrated for a reconfiguration scenario involving the preservation of vital loads. The work presents many opportunities for future developments in the domain of resilient self-healing power grids.},

keywords = {intelligent systems, Modelling; sizing and control of smart grids, Physical Systems Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Wind_Integration_Stability,

title = {Transient Stability of Power Systems with Different Configurations for Wind Power Integration},

author = {Hussein M Abdelhalim and Amro M Farid and Ambrose A Adegbege and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6497903&isnumber=6497783&tag=1},

doi = {10.1109/ISGT.2013.6497903},

year  = {2013},

date = {2013-01-01},

booktitle = {Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES},

abstract = {Previous transient stability studies investigating the effects of wind power integration into a conventional power system assume the insertion point of the wind-generating units to be at the same bus and interconnection voltage as the synchronous generators they are substituting or complementing. While these assumptions offer some insights into the effects of the wind on the existing system, important points about the physical distance and interconnection voltage of wind farms with respect to the conventional power system are neglected. This paper analyzes the effects of integrating doubly-fed induction wind turbine generators through different transmission line configurations and at different buses. The IEEE 14-bus test system is used in order to compare results with previous works. Results show that connecting wind generators through transmission lines and to different buses introducesdelays in the speed dynamic responses of existing synchronous generators. These delays in turn affect the bus voltage oscillations. Results also show that there is no significant effect on the base cases when using different interconnection voltages to connect the wind. The results of this study can be used by power system operators when deciding how to connect wind farms to an existing power network when optimizing for stability response to a large fault. Overall, wind farms should be connected through additional transmission lines to buses near where synchronous generators are located and further away from loads and higher risk fault areas.},

keywords = {intelligent systems, Modelling; sizing and control of smart grids, Physical Systems Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_SG_Integrated_Energy_Management,

title = {Opportunities for Integrated Energy and Water Management in the GCC},

author = {William N Lubega and Apoorva Santhosh and Amro M Farid and Kamal Youcef-Toumi},

url = {http://amfarid.scripts.mit.edu/resources/Conferences/EWN-C36.pdf},

isbn = {978-1-4799-3685-4},

year  = {2013},

date = {2013-01-01},

booktitle = {EU-GCC Renewable Energy Policy Experts' Workshop},

publisher = {Gulf Research Center},

abstract = {Electric power is required to produce, treat, distribute, and recycle water while water is required to generate and consume electricity. The goal of this position paper is to identify and motivate opportunities for the operations management and planning of the energy-water nexus. It proceeds in three parts. First, an exposition of the energy-water nexus especially as it applies to the GCC is given. This discussion focuses on the electric power system, the potable water distribution system, and the wastewater distribution system. Then, the paper shifts to opportunities in operations management where recent work in the Laboratory for Intelligent Integrated Networks of Engineering Systems has produced a number of optimization programs to support the deregulated operation of integrated energy-water markets. To highlight the viability of this idea, an energy-water nexus supply side economic dispatch is presented. Finally, the position paper shifts to discuss planning opportunities for the energy-water nexus for the sustainable development of water and energy resources. These include new methods that encourage renewable energy penetration and balance the portfolio of desalination technologies. It also includes integrated strategies for the design of water infrastructure to minimize embedded energy while reusing water of various qualities. The paper concludes with a description of opportunities for EUGCC collaboration to support the purpose of the workshop.},

keywords = {intelligent systems, Modeling; sizing and control of smart grids},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_DDL_Gravity_Wave_Detectors,

title = {Modal damping of a quadruple pendulum for advanced gravitational wave detectors},

author = {Brett Shapiro and Nergis Mavalvala and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/6315185},

doi = {10.1109/ACC.2012.6315185},

isbn = {978-1-4577-1096-4},

year  = {2012},

date = {2012-10-02},

booktitle = {2012 American Control Conference (ACC)},

pages = {1017-1022},

publisher = {ACC},

organization = {ACC},

abstract = {The Laser Interferometer Gravitational-Wave Observatory (LIGO) has begun a major set of upgrades to reach a sensitivity better than 10-19 m/√(Hz) in the 10Hz to 10 kHz frequency band. This advance is expected to bring gravitational wave observations of relativistic astrophysical events such as black hole mergers and supernovae into the realm of regular astronomy. These upgrades require complex vibration isolation systems to better decouple the test masses from ground disturbances. These high performance systems require correspondingly more complex and aggressive active control loops to meet the increased demand in instrument sensitivity. This paper applies a modal damping technique with state estimation to optimize the trade-off between disturbance rejection and sensor noise amplification. The state estimator design applies a customized cost function around the Linear Quadratic Regulator (LQR) algorithm.},

keywords = {Control Theory, Data-driven learning for intelligent machine maintanence, Experimentation, Fabrication, intelligent systems, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MRL_DDL_Actuator_Sizing_Pendulum,

title = {Actuator sizing of a quadruple pendulum for advanced gravitational wave detectors},

author = {Brett Shapiro and Nergis Mavalvala and Kamal Youcef-Toumi},

url = {https://ieeexplore.ieee.org/document/5991170},

doi = {10.1109/ACC.2011.5991170},

isbn = {978-1-4577-0081-1},

year  = {2011},

date = {2011-08-18},

booktitle = {Proceedings of the 2011 American Control Conference},

pages = {1358-1363},

publisher = {ACC},

organization = {ACC},

abstract = {The Laser Interferometer Gravitational-Wave Observatory (LIGO) has begun a major set of upgrades to reach a sensitivity better than 10-19 m/√(Hz) in the 10 Hz to 10 kHz frequency band. This advance is expected to bring gravitational wave observations of relativistic astrophysical events such as black hole mergers and supernovae into the realm of regular astronomy. These upgrades require complex vibration isolation systems to better decouple the test masses from ground disturbances. These high performance systems require correspondingly more complex and aggressive active control loops to meet the increased demand in instrument sensitivity. Appropriately sized actuators are essential to achieving the necessary control performance while limiting the cost, noise, and complexity associated with larger actuators. This paper applies the plant's pseudoinverse transfer function to analyze the least squares dynamic range required by the actuators to reject the stochastic disturbances exciting the Advanced LIGO quadruple pendulum isolation systems.},

keywords = {Control Theory, Data-driven learning for intelligent machine maintanence, Experimentation, Fabrication, intelligent systems, Physical System Modeling, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}