摘要
针对含可再生能源的电力系统提出了一套多目标混成自动电压控制方法。该方法主要解决了电力混成控制系统所面临的2个关键问题:首先对自动电压控制所面临的不确定性进行分析,提出了指标控制界限的制定方法,该界限可用于触发控制和作为优化模型的约束,完善了混成控制理论框架;然后将处理多峰问题性能稳定的基于非对称势阱的量子粒子群算法改造为多目标形式,用以在安全性和经济性上同时对电网进行优化,并提出了最优解的选取方法,使设计的方法可用于闭环控制。算例验证了所提方法的正确性和有效性。
Renewable power sources may bring substantial uncertainty to power system. This article proposes a multi-objective hybrid automatic voltage control method to handle the uncertainty. This method solves two key problems that hybrid control system may face. First, a method is proposed to delimit the control index limit. The control limit could be applied to trigger event and to form constrains of optimization model. This perfects framework of hybrid control theory. Then, it reforms AQPSO algorithm to multi-objective form, performing great stability to handle multi-peak problems. Multi-objective algorithm is used to optimize security and economy of power grid at the same time. A method of choosing unique solution among Pareto optimal solution set is also proposed, making possible to use it for closed-loop control. Case study on Hainan grid verifies effectiveness of the proposed method.
出处
《电网技术》
EI
CSCD
北大核心
2016年第2期369-375,共7页
Power System Technology
基金
国家高技术研究发展计划(863计划)(2012AA050201)~~
关键词
可再生能源
不确定性
混成电压控制
指标定界
多目标优化
renewable power sources
uncertainty
hybrid voltage control
index delimitation
multi-objective optimization
