首页|基于MPC的光-储协同调频优化策略

基于MPC的光-储协同调频优化策略

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

collaborative frequency modulationPVs-ESsMPChybrid energy storageelectrical power systems

严小珊、唐惠玲、吴杰康、周治廷、龙泳丞、冯国华

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广东工业大学物理与光电工程学院,广东广州 510006

广东工业大学自动化学院,广东广州 510006

广东交通职业技术学院海事学院,广东广州 510650

协同调频 光-储 MPC 混合储能 电力系统

广东省基础与应用基础研究基金区域联合基金-粤港澳研究团队项目

2020B1515130001

2024

南方能源建设
南方电网数字传媒科技有限公司,中国能源建设集团广东省电力设计研究院有限公司

南方能源建设

ISSN:2095-8676
年,卷(期):2024.11(2)
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