改进遗传算法在电力系统无功优化中的应用

电力系统的无功优化控制，不仅能有效地降低系统的有功功率损耗，而且还可以改善电网的电压质量，对系统的安全稳定、经济运行具有非常重要意义。无功优化问题是一个含有连续变量和离散变量的混合优化问题，求解过程相当复杂，电力系统无功优化问题属于最优潮流问题的一个组成部分。探讨了求解无功优化的现代人工智能算法，总结分析了遗传算法的特点及使用情况。为提高解的质量与计算效率，对遗传算法做了改进，并将其应用于电力系统无功优化中。

Applications of the Modified Genetic Algorithm in Reactive Power Optimization in Power System

Reactive power optimization in power system can not only reduce power loss, but also improve voltage quality. So it is of great importance to security and economic operation of power system. Reactive optimization of power systems is a mixed optimizing question, which its operating variables include the continual and the separate, its solved process is quite complex, it is one component part of the optimal power flow problem. The paper discussed the modern artificial intelligent algorithms of reactive power optimization, summarized and analyzed the characteristics and usage situation of genetic algorithms. For improving the quality of the solutions and the calculation efficiency, the paper improved genetic algorithms, and applied to solve the reactive power optimization in power system