改进型遗传算法在农网无功优化中的应用

根据农村电网的特点,建立了综合考虑全年网损、电压质量和补偿设备投资的无功优化规划数学模型.应用自适应遗传算法改进了传统遗传算法的遗传算子和终止判据等,提出了一种配电网无功优化的改进型遗传算法,其收敛速度和求解精度均有提高.算法实例表明,改进遗传算法的优化效果优于传统遗传算法.

Application of Improved Genetic Algorithm with Rural Power Distribution Network in Reactive Power Optimization

Based on the characteristics of the rural power grid, this paper establishes a mathematical model for reactive power optimization, which has comprehensively taken into consideration the yearly network loss, the voltage quality and the investment in compensation equipment. Adaptive GA is applied to improving the genetic operator and the termination criterion of traditional GA, and then an improved GA for reactive power optimization of distribution network is put forward to enhance the convergence speed and the precision. Examples demonstrated in this paper prove that the optimization effect of the improved algorithm is superior to that of the traditional GA.