基于MPC的光-储协同调频优化策略

Optimization Strategy for Collaborative Frequency Modulation of PVs-ESs Based on MPC

[目的]为了降低光伏发电给电网带来的频率扰动,并进一步提升调频效果,提出了一种基于MPC(Model Predictive Control)的光-储协同调频优化策略,分析了该策略的基本原理、控制流程、约束条件、目标函数并优化了权重系数。[方法]构建了一个基于MPC的光-储并网系统模型,并根据该模型推导出了非线性状态空间方程。为了验证该策略的调频效果,设置了4种不同的仿真环境:无储能、带电池储能、带混合储能以及文章提出的策略。[结果]仿真结果表明:与其他场景相比,所提出的策略在调频效果上是最优的,无储能的条件下调频效果是最差的,此外,采用混合储能的调频方法优于使用电池储能的方法。[结论]在MATLLAB/Simulink平台上验证了所提策略的有效性。在光伏发电系统中,对储能和光伏最大功率点跟踪进行优化控制,能使电网频率更加稳定,从而提高整个系统的稳定性。该研究成果可为光伏发电并网提供参考依据。

[Introduction]In order to reduce frequency disturbance caused by photovoltaic(PV)generation to power grid and further improve the frequency modulation effect,an optimization strategy for collaborative frequency modulation of PVs-ESs based on MPC(Model Predictive Control)is proposed.The basic principles,control flow,constraints,target function and weight coefficient of the strategy are analyzed.[Method]A model of optical-storage network based on MPC was constructed and the nonlinear state space equation was derived.In order to verify the frequency modulation effect of this strategy,four different simulation environments were set up:no energy storage,battery storage,mixed energy storage and the strategy proposed in this paper.[Result]Simulation results show that compared with other scenarios,the proposed strategy is optimal in terms of frequency modulation and the worst in the absence of energy storage.In addition,the hybrid energy storage method is superior to the battery energy storage method.[Conclusion]The effectiveness of the proposed strategy is validated on the MATLLAB/Simulink platform.In photovoltaic power generation system,optimal control of energy storage and PV maximum power point tracking can make the grid frequency more stable and improve the stability of the whole system.The results of this study can be used as a reference for PV connection.