考虑负荷精细化的虚拟电厂优化调度

The Optimized Scheduling of Virtual Power Plant is Considered

由于可再生能源具有较强的波动性,导致其出力与计划出力存在偏差。聚合风电、燃气轮机、储能设备组成虚拟电厂参与电力市场,根据负荷用电特性将用户可控负荷进行分类并建立精细化分类负荷的模型。以虚拟电厂收益最大为目标,构建不同类型负荷分别参与需求响应的优化调度模型,通过转移或削减部分负荷量以及合理分配储能和燃气轮机出力,来抑制风电出力偏差,平滑负荷曲线,使得发电侧与需求侧双向互动,实现虚拟电厂的经济运行。算例仿真结果表明,将负荷精细化分类参与需求响应,使虚拟电厂在电力市场中收益最大,用户曲线峰谷差最小,用户费用最小,实现用户和VPP社会效益双赢。

Due to the strong volatility of renewable energy, there is a deviation between its output and planned output. This paper combined wind power, gas turbine and energy storage equipment to form a virtual power plant to participate in the power market, classified the user’s controllable load according to the power consumption characteristics and established a refined classified load model. To maximize the benefit of the virtual power plant, an optimal dispatch model was constructed in which different types of loads participated in demand response respectively. By transferring or reducing part of the load and rationally allocating the output of energy storage and gas turbines, the deviation of wind power output was suppressed, and the load curve was smoothed, so that the power generation side and the demand side could interact in both directions to realize the economic operation of the virtual power plant. The simulation results show that the refined classification of load participates in the demand response, which makes the virtual power plant gain the most in the power market, the user curve peak and valley difference is the smallest, the user cost is the smallest, and the social benefits of both users and VPP can be achieved.