分布式电源多点接入布局优化研究

Research on Layout Optimization of Multi-Point Access for Distributed Generation

以降低系统网络损耗和提高电压质量为出发点,研究了分布式电源的接入布局优化问题。通过实例来验证分布式电源并网的影响,理论分析分布式电源的接入对系统电压的影响。提出基于遗传算法(GA)进行DG的布局优化,建立了配电网络损耗最小、节点电压偏移最小的分布式电源多目标优化函数。对遗传算法每代产生各种DG配置方案进行潮流计算,并利用多目标优化函数进行方案的优劣评估,通过遗传算法中的选择、交叉、变异等操作进行DG配置方案的优化,若不满足终止条件将会继续进行潮流计算,直到满足终止条件后输出最优的DG配置。

Starting from reducing the loss of system network and improving the voltage quality, this paper researched on the problem of access layout optimization of distributed generation （DG）. Via the example, this paper verifed the impacts of distributed generation grid connected and analyzed the impact of DG on the system voltage theoretically. This paper proposed to carry out the layout optimization of DG based on genetic algorithm （GA） and established the multi-objective optimization functions of DG with minimum loss of distribution net-work and node voltage excursion. The GA in each generation produced a variety of DG confguration scheme for load fow calculation and used the multi-objective optimization functions to carry out merits evaluation and allocation plan optimization via the operations of selection, crossover and variation etc. If the DG confguration scheme is not optimized, the load fow calculation will be continued and the optimal DG confguration will be output until the termination condition is satisfed.