PEV价格响应下的电力系统经济调度及效益评估

Economic Dispatch and Efficiency Evaluation of Power System Considering the Price Response of Plug-In Electric Vehicles

将参考价格和前景理论运用在PEV负荷响应模型中,结合插入式电动汽车(PEV)的行驶特性,模拟车主的心理行为,建立了PEV负荷对于价格的响应模型。为研究PEV负荷对于日前调度结果的影响,将PEV的价格响应模型引入电力系统日前调度模型中,并在1个典型的10机系统上进行仿真计算。随着出清价格和PEV负荷的相互影响,最终日前出清价格曲线以及PEV负荷曲线趋向于稳定。稳定后的结果显示,随着PEV数量的上升,系统总的峰谷差率不断降低,购电费用有一定上升,但是上升速度很缓慢。同时,随着PEV数量上升,其对市场出清价格(MCP)的影响也会越发明显,PEV的削峰填谷作用会在一定程度上抬高谷时电价并降低峰时电价。

This paper proposes a price response model of plug-in electrical vehicle （ PEV）, by combining reference price （RP） and prospect theory with PEV running characteristics and simulating the psychological behavior of the driver. The price response model is introduced to the day-ahead scheduling model under the market mechanism to study the PEV load influence on day-ahead scheduling result, and the scheduling model is simulated on a typical ten- unit system. With the interaction between the clearing price and the PEV load, the stabilized day-ahead market clear- ing price （MCP） and the correspondent PEV load are calculated. Our results show that under a fixed unit commit- ment, as the number of PEV increases, the peak to valley difference of the system will gradually decline while the to- tal purchase cost increases in a very slow pace. Meanwhile, the larger the number of PEV is, the more influence it has on the formation of MCP. The peak shaving and valley filling of PEV load will slightly increase the price of off- peak hours and decrease that of the peak hours.