基于水光互补的多个虚拟电厂两阶段优化调度方法

Two-stage optimized scheduling method of multiple virtual power plants based on hydro-solar complementary

提出了一种基于水光互补的多虚拟电厂(virtual power plant,VPP)两阶段优化调度方法,旨在降低分布式光伏固有的随机性以及用户可中断负荷(interruptible load,IL)响应的不确定性对系统运行和决策带来的影响,从而提高水光互补清洁能源项目的能源利用率。首先,采用电能共享策略,以最大化VPP的经济效益为优化目标,构建了多VPP日前最优调度模型。其次,考虑分布式光伏出力的随机性和可中断负荷需求响应的不确定性,灵活调整内部可控元素和能源输出,生成VPP市场竞价优化调度模型。最后,通过算例分析,验证了所提出方法的有效性和可行性。

This paper presented a two-stage optimized scheduling method of multiple virtual power plants based on hydro-solar complementary,aiming at reducing the impact of the inherent randomness of distributed photovoltaic and the uncertainty of users'subjective on the system operation and decision-making,so as to improve the efficiency of photovoltaic power plant operation.A dayahead optimal scheduling model for multiple virtual power plants is constructed in the first stage.Based on power sharing strategy,taking maximize the economic benefits of virtual power plant as the optimization goal.In the second stage,the uncertainty of distributed photovoltaic output and the uncertainty of the actual response of the interruptible load(IL)are considered in an optimal scheduling model,this model adjusts the internal controllable elements flexibly so that the actual output of the virtual power plant can meet the bidding output of the first stage as much as possible.Finally,the analysis of an example verifies that the model can improve the overall benefits of multi-virtual power plants and solve the problem of power deviation and light abandonment caused by the prediction error of photovoltaic power generation.