基于改进遗传算法的配电网无功优化控制

Reactive Power Optimization of Radical Distribution System on Improved Genetic Algorithm

电力系统的无功优化以及无功补偿对于电网的安全、经济运行有着重要意义。实现配电网无功优化的主要控制手段是调整有载调压变压器的档位和并联电容器的投入组数,本文采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,并且通过实例验证了本文方法的实用性和有效性。

The optimization and compensation of reactive power is significant for the safety and economical operation of the power network. In the reactive power optimization of radical distribution system, its principal means is to regulate transformer rate and to parallel with capacitors. This paper implements reactive power optimization calculation based on the Mathematical Model by Genetic Algorithm, so as to overcome the poorly computational efficiency of Genetic Algorithm. We also make an improvement to enhance its convergence speed and search efficiency. Cases have proved the practicability and validity of the method.