基于改进遗传算法的配电网无功优化

提出了考虑配电网网损效益、节点电压水平和无功补偿费用的综合目标函数,对于目标函数中的电压越界点,采用惩罚函数予以解决。无功优化主要采用调整变压器分接头和并联电容器两种方法,用改进遗传算法实现了配电网无功优化计算,该算法有较好的计算效率和全局寻优能力,通过实例验证了本文方法的实用性和有效性。

Reactive Power Optimization of Radical Distribution System on Improved Genetic Algorithm

This paper presents the comprehensive obiective function considering network energy loss, node voltage level and investment of reactive compensation equipment. Penalty function is considered to deal with variables violating the constraints. Its principal means is to regulate transformer rate and to parallel with capacitors. This paper implements reactive power optimization calculation based on above mathematical model by Genetic Algorithm, To overcome the poorly computational efficiency of Genetic Algorithm, we also makes an improvement of it to enhances its convergence speed and search efficiency. The tea tests prove the practicability and validity of this paper method.