摘要
电力系统无功优化问题在数学上是一个多变量、多约束的混合非线性问题,国内外研究者提出了多种无功优化算法,但对于这些算法的性能比较较为少见。为了便于进一步的修正和提高算法的性能,更好的发挥各种算法的优势,需要对这些常用的方法进行全面的对比和分析。文中选取了序列二次规划法、改进遗传算法和改进粒子群算法,基于算例比较分析了这3种算法在处理电力系统无功优化问题时的优势和缺点,并从算法的原理上给出了一些解释。
Power system reactive power optimization problem is a nonlinear problem containing multi-variable and multiple constraints.Domestic and Foreign researchers proposed a variety of reactive power optimization algorithms,but the comparison of these algorithms is rare.In order to facilitate further amendments and to improve the performance of the algorithm,a comprehensive comparison and analysis of these commonly used methods is required.In this paper,sequential quadratic programming,improved genetic algorithm and improved particle swarm algorithm are selected.The performance of the three algorithms in treatment for reactive power optimization problem is compared based on numerical examples,and some explanation is given from the principle of the algorithm.
出处
《江苏电机工程》
2013年第4期24-27,共4页
Jiangsu Electrical Engineering
关键词
无功优化
序列二次规划法
遗传算法
粒子群算法
reactive power optimization
sequential quadratic programming
genetic algorithm
particle swarm algorithm
