南方能源建设2024，Vol.11Issue(2)：125-138,14.DOI:10.16516/j.ceec.2024.2.12
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
摘要
Abstract
[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.关键词
协同调频/光-储/MPC/混合储能/电力系统Key words
collaborative frequency modulation/PVs-ESs/MPC/hybrid energy storage/electrical power systems分类
信息技术与安全科学引用本文复制引用
严小珊,唐惠玲,吴杰康,周治廷,龙泳丞,冯国华..基于MPC的光-储协同调频优化策略[J].南方能源建设,2024,11(2):125-138,14.基金项目
广东省基础与应用基础研究基金区域联合基金项目-粤港澳研究团队项目"大湾区轨道交通关键车载机电设备的安全测评与运维管理"(2020B1515130001) （2020B1515130001）
