Abstract：Due to the increasing penetration of distributed energy resources (DERs) in the distribution network and the electricity market reform which allows demand side resources to participate in the electricity market, the leverage of flexibilities from demand-side resources has attracted more and more attentions. This paper takes electric vehicle (EV) and heating ventilating & air conditioning (HVAC) as the typical demand-side resources. Considering the physical characteristics of equipment, the behaviors of occupants and environmental factors, a generalized virtual battery model (VB) is established for characterizing the flexibilities using an extreme energy circumstance method. On this basis, a day-ahead optimal scheduling model is developed for the transactive platform to participate in the wholesale market. The numerical results show that the energy schedule and reserve capacity can be determined by the general VB model. In addition, the proposed model is verified by simulation, and its superiority in terms of computational efficiency and information security is analyzed.
吴界辰, 艾欣, 胡俊杰. 需求侧资源灵活性刻画及其在日前优化调度中的应用[J]. 电工技术学报, 2020, 35(9): 1973-1984.
Wu Jiechen, Ai Xin, Hu Junjie. Methods for Characterizing Flexibilities from Demand-Side Resources and Their Applications in the Day-Ahead Optimal Scheduling. Transactions of China Electrotechnical Society, 2020, 35(9): 1973-1984.
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