基于协同粒子群优化算法的电力系统无功优化

Reactive power optimization for power system based on particle swarms cooperative optimization algorithm

为了解决粒子算法应用在电力系统无功优化中存在的问题,提出了一种改进的协同粒子优化算法。笔者根据电力系统无功优化问题非线性、不连续、大范围以及电压等级增多、无功优化控制变量较多的特点,建立了改进的协同粒子优化算法无功优化的数学模型,并将协同粒子群算法在无功优化中进行了应用。算例结果表明,该算法有效地改善了粒子群算法的局部收敛问题,缩短了搜索时间,提高了准确性。

In order to solve the problems of particle swarm algorithm used in reactive power optimization for power system, an improved particle swarms cooperative optimization algorithm is proposed. According to the characteristics of reactive power optimization for power system including nonlinearity, discontinuity, wide range, increase of voltage level and many control variables of reactive power optimization, the author establishes the mathematical model of reactive power optimization based on particle swarms cooperative optimization algorithm, which is applied in reactive power optimization. The result of the example shows that this algorithm is able to improve the partial convergence of particle swarms algorithm, shorten search time and enhance accuracy.