虚拟电厂参与AGC调频多目标优化策略

Multi-objective Optimization Strategy for Virtual Power Plant Participation in AGC Frequency Regulation

随着可再生能源渗透率逐渐升高,电力系统的惯性支撑能力也随之降低,科学增加电网调频性能成为亟待解决的问题。因此,提出虚拟电厂参与自动发电控制调频多目标优化策略,通过聚合电动汽车、储能响应火电机组与AGC信号偏差的低频和高频部分,以综合收益最大、储能电量平衡度最优和调频效果最好为目标函数,并考虑相关约束条件建立多目标优化模型,通过NSGA-III算法和模糊集理论得到优化结果。仿真结果表明,提出的优化策略可有效挖掘可调资源的调频潜力,并提高电网调频性能。

As the penetration rate of renewable energy increases gradually,the inertia support capacity of the power system decreases correspondingly,and scientifically increasing the frequency regulation performance of the power grid becomes an urgent problem to be solved.Therefore,a multi-objective optimization strategy for virtual power plant to participate in automatic generation control(AGC)frequency regulation is proposed.The virtual power plant aggregates electric vehicles and energy storage to respond to the low-frequency and high-frequency components of the deviation between thermal power units and the AGC signal,and establishes a multi-objective optimization model by taking the maximum comprehensive revenue,the optimal energy storage power balance,and the best frequency regulation effect as the objective function and considering the relevant constraints.The optimization results are obtained by using the NSGA-III algorithm and fuzzy set theory.Simulation results show that the strategy proposed in this paper can effectively tap the frequency regulation potential of adjustable resources and improve the grid frequency regulation performance.