分布式电源并网优化配置的图解方法

A Graph-based Optimal Solution for Siting and Sizing of Grid-connected Distributed Generation

分布式电源(distributed generation,DG)除了具有调节潮流分布等常规作用外,还可被用来治理电压暂降和降低线损等。针对分布式电源引入配电网后最佳安装位置与容量计算的问题,该文基于链式配电网络、恒功率静态负荷模型和分布式电源的功率模型,并考虑DG对降低线损和调节电压的作用,提出一种图解与遗传算法相结合的计算方法。该方法采用图示求解大量方程,避免了传统算法繁琐的过程和过多的假设条件,并且通过基于电压不越界为约束的遗传算法确定分布式电源的最佳容量,有效避免了节点电压接近合格范围的上界。最后通过典型的仿真算例并与传统方法进行比较,充分证明所提方法的正确性和可行性。

Besides the conventional benefit of improving power flow, distributed generation （DG） can also be used to mitigate voltage sag and reduce line loss. In this paper, a graph and gene based algorithm was proposed to address the optimal location and capability for grid-connected DG, under the assumption of the radial distribution network and static constant power load model, meanwhile taking the characteristic of DG and its effect on network losses and voltage into consideration. This algorithm used graphic methods to solve a large number of equations. This effectively simplified the complicated process and numerous assumptions in the traditional method. Genetic algorithm with voltage boundary violation constraints was utilized to effectively prevent the bus voltage from reaching its upper boundary. Simulation of the benchmark examples and the comparsion with traditional methods show the correctness and feasibility of the proposed method.