基于改进排挤小生境遗传算法配网无功优化研究

Research on reactive power optimization of distribution network based on the improved crowding niche genetic algorithm

针对传统遗传算法在配电网无功优化中的缺陷和配电网的特点,把改进排挤小生境技术和自适应遗传算法有机结合起来应用于无功优化,且采用实数编码和μ+λ竞争机制等策略,建立了以计算得到的投资回收年限作为评价电容器安装方案经济效益优劣标准的数学模型。利用SQL Server 2000数据库存储配电线路的原始数据,方便计算时数据的灵活调用。采用面向对象的Visual C#高级语言开发编制了配电网无功优化计算程序并应用于实际配电网中,程序运行稳定、便于维护。实际网络计算结果表明,改进排挤小生境自适应遗传算法更加适用于配电网无功优化。

Regarding to the defects of traditional genetic algorithm applied to reactive power optimization of distribution network and the, characteristics of distribution network, the improved crowding Niche Adaptive genetic algorithm is put forward to enhance the ability of global optimization with the strategy of real valued coding and μ＋λ competition selection. An objective function considering years of investment calls back. Based on the Niche Adaptive genetic algorithm, the program of reactive power optimization for distribution network js developed by taking Visual C# which is object-oriented as developing tool and SQL Server2000 which is used for the original data storage. According to the real test to this program, the requirement of development is satisfied. Now this program is run successfully and stably. The calculation shows that the improved crowding Niche Adaptive genetic algorithm is more fitful for the reactive power optimization.