Real-time joint regulating reserve deployment of electric vehicles and coal-fired generators considering EV battery degradation using scalable approximate dynamic programming

[1]  Jiakun Fang,et al.  Real-time schedule of integrated heat and power system: A multi-dimensional stochastic approximate dynamic programming approach , 2022 .

[2]  Jinyu Wen,et al.  Data-driven stochastic unit commitment considering commercial air conditioning aggregators to provide multi-function demand response , 2021, International Journal of Electrical Power & Energy Systems.

[3]  Jinxin Ouyang,et al.  Frequency control method based on the dynamic deloading of DFIGs for power systems with high-proportion wind energy , 2021 .

[4]  Jochen Gönsch,et al.  Optimizing trading decisions of wind power plants with hybrid energy storage systems using backwards approximate dynamic programming , 2021, International Journal of Production Economics.

[5]  Pierluigi Siano,et al.  Managing Multitype Capacity Resources for Frequency Regulation in Unit Commitment Integrated With Large Wind Ramping , 2021, IEEE Transactions on Sustainable Energy.

[6]  Ligang Wu,et al.  Credibility-based distributed frequency estimation for plug-in electric vehicles participating in load frequency control , 2021 .

[7]  M. Dubarry,et al.  Degradation of electric vehicle lithium-ion batteries in electricity grid services , 2020 .

[8]  Graeme Burt,et al.  A probabilistic capacity planning methodology for plug-in electric vehicle charging lots with on-site energy storage systems , 2020 .

[9]  Haibo He,et al.  Real-time Energy Management for the Integrated Heat and Power System Using Approximate Dynamic Programming , 2020, 2020 IEEE Power & Energy Society General Meeting (PESGM).

[10]  Tao Ding,et al.  Real-time optimization of the integrated gas and power systems using hybrid approximate dynamic programming , 2020 .

[11]  Tao Yu,et al.  Stochastic Transactive Control for Electric Vehicle Aggregators Coordination: A Decentralized Approximate Dynamic Programming Approach , 2020, IEEE Transactions on Smart Grid.

[12]  Yunfei Mu,et al.  Electric Vehicle Aggregator Modeling and Control for Frequency Regulation Considering Progressive State Recovery , 2020, IEEE Transactions on Smart Grid.

[13]  Bo Yang,et al.  Real-time stochastic optimal scheduling of large-scale electric vehicles: A multidimensional approximate dynamic programming approach , 2020 .

[14]  Zhile Yang,et al.  Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation , 2019, Energy Conversion and Management.

[15]  Jinyu Wen,et al.  Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming , 2019, IEEE Transactions on Smart Grid.

[16]  Nand Kishor,et al.  Load frequency regulation using observer based non-linear sliding mode control , 2019, International Journal of Electrical Power & Energy Systems.

[17]  Gang Mu,et al.  A cost accounting method of the Li-ion battery energy storage system for frequency regulation considering the effect of life degradation , 2018 .

[18]  Zhen Ni,et al.  A Computationally Efficient Optimization Approach for Battery Systems in Islanded Microgrid , 2018, IEEE Transactions on Smart Grid.

[19]  Xin Li,et al.  Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes , 2018, Applied Energy.

[20]  Duncan S. Callaway,et al.  Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services , 2018, IEEE Transactions on Smart Grid.

[21]  Sekyung Han,et al.  A New Mileage Payment for EV Aggregators With Varying Delays in Frequency Regulation Service , 2018, IEEE Transactions on Smart Grid.

[22]  Daniel Kirschen,et al.  Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[23]  Kameshwar Poolla,et al.  Cooperation of Wind Power and Battery Storage to Provide Frequency Regulation in Power Markets , 2017, IEEE Transactions on Power Systems.

[24]  Lei Zhang,et al.  Optimal Management for Parking-Lot Electric Vehicle Charging by Two-Stage Approximate Dynamic Programming , 2017, IEEE Transactions on Smart Grid.

[25]  Adamantios Bampoulas,et al.  Provision of frequency regulation by a residential microgrid integrating PVs, energy storage and electric vehicle , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[26]  Hamed Mohsenian-Rad,et al.  Optimal Bidding in Performance-Based Regulation Markets: An MPEC Analysis With System Dynamics , 2017, IEEE Transactions on Power Systems.

[27]  Fahmilia,et al.  The New Method to Determine the Value of Speed Droop for Subcritical Coal Fire Power Plant in Order to Contribute to Primary Frequency Control of Power System , 2017 .

[28]  Warren B. Powell,et al.  Perspectives of approximate dynamic programming , 2012, Annals of Operations Research.

[29]  Victor O. K. Li,et al.  Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism , 2014, IEEE Transactions on Smart Grid.

[30]  Hong Xia Wu.  Research on the Primary Frequency Regulation of the Large Capacity Thermal Power Units , 2014 .

[31]  Ka Wing Chan,et al.  A decentralized charging control strategy for plug-in electric vehicles to mitigate wind farm intermittency and enhance frequency regulation , 2014 .

[32]  Warren B. Powell,et al.  An Optimal Approximate Dynamic Programming Algorithm for Concave, Scalar Storage Problems With Vector-Valued Controls , 2013, IEEE Transactions on Automatic Control.

[33]  Xiang Din,et al.  Research on Optimal Time of Use Price for Electric Vehicle Participating V2G , 2013 .

[34]  Alexis Kwasinski,et al.  Spatial and Temporal Model of Electric Vehicle Charging Demand , 2012, IEEE Transactions on Smart Grid.

[35]  F.D. Galiana,et al.  Unit commitment with primary frequency regulation constraints , 2005, IEEE Transactions on Power Systems.

[36]  T. Inoue,et al.  A model of fossil fueled plant with once-through boiler for power system frequency simulation studies , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).