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| Two-Stage Optimal Dispatching of Regional Power Grid Based on Electric Vehicles' Participation in Peak-Shaving Pricing Strategy |
| Yang Jingsi1, Qin Wenping1, Shi Wenlong2, Cao Rui3, Yao Hongmin1 |
1. Shanxi Provincial Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan 030024 China;
2. China Electric Power Research Institute Co. Ltd Beijing 100192 China;
3. Taiyuan Youteaoke Electronic Technology Co. Ltd Taiyuan 030006 China |
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Abstract In response to problems such as power fluctuations, high dispatching cost and poor operation stability caused by the large-scale access of electric vehicles(EV), wind power, photovoltaics and other new energy power generation to the grid, this paper proposes a strategy,two-stage optimized dispatching plan for the regional power grid,based on the participation of EV in peak shaving. Firstly, classify according to the EV load operating characteristics, and establish four EV load models: rigid, schedulable, flexible, and smart swapping; secondly, considering the cost of EV participation in peak shaving, and giving EV peak shaving pricing strategy based on the Fuzzy Analytic Hierarchy Process (FAHP); then based on this strategy, a two-stage optimal dispatching of the regional power grid is carried out. In the first stage, the goal is to minimize the load peak-valley difference, and to make decisions on EV peak shaving pricing under this target, so as to reduce the peak shaving capacity of the power system and adjust the regional grid load distribution; in the second stage, relying on the peak shaving pricing curve obtained in the first stage, the EV load is arranged with the goal of minimizing the charging cost of EV users; finally, a simulation example is used to verify the effectiveness and rationality of EV participation in peak shaving and the economics of the pricing strategy.
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Received: 13 August 2021
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2022, Vol. 37 
