重庆理工大学学报2024，Vol.38Issue(5)：335-342,8.DOI:10.3969/j.issn.1674-8425(z).2024.03.037
大型光伏电站分布式无功优化
Distributed reactive power optimization for large-scale photovoltaic power plants
摘要
Abstract
Large-scale photovoltaic power plants usually suffer voltage fluctuations. Traditional centralized control schemes use a central controller for reactive power optimization to ensure stable system operation. However, this approach has such drawbacks as excessive computational burden, susceptibility to single point failures, and network security issues. To address them, this paper proposes a distributed optimization method and applies it in large-scale photovoltaic power plants. Our method divides the power plant into multiple subsystems and uses local controllers to solve optimization problems for each subsystem separately. The information exchange between adjacent subsystems is minimal, making the system information more secure and able to handle larger photovoltaic power plants. This paper proposes a distributed reactive power optimization scheme for large-scale photovoltaic power plants based on the alternating direction method of multipliers ( ADMM ) , aiming to address voltage limit violations and verify its effectiveness through case studies. In addition, through an analysis of the effects of linearization processing of DistFlow flow constraints on flow solution and the penalty function coefficient on ADMM performance, further optimization parameters are set to improve the operational optimization results of large-scale photovoltaic power plants.关键词
大型光伏电站/电压波动/交替方向乘子法/分布式无功优化Key words
large-scale photovoltaic power plant/voltage fluctuation/ADMM/distributed reactive power optimization分类
信息技术与安全科学引用本文复制引用
李海啸,程强,李山,杨伟,刘利娟..大型光伏电站分布式无功优化[J].重庆理工大学学报,2024,38(5):335-342,8.基金项目
重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0997) （CSTB2022NSCQ-MSX0997）
重庆市教委青年研究项目(KJQN202201153) （KJQN202201153）
重庆理工大学科研启动基金项目(2021ZDZ013) （2021ZDZ013）
