配电网分布式电源最优配置研究*

针对配电网中分布式电源的选址与定容问题,以分布式电源的渗透率最高、配电网的网损改善率最大及电压质量改善率最大三个目标构成目标函数,利用判断矩阵确定权重建立多目标优化模型。提出一种改进的果蝇优化算法对配电网中分布式电源的接入位置和接入容量进行优化,IEEE 33节点配电网络的仿真结果表明:与遗传算法和基本果蝇优化算法相比,改进的果蝇优化算法在收敛速度和求解精度两个方面都具有较为明显的优势,验证了上述优化配置模型及改进算法的实用性与有效性。

Research on the Optimal Allocation of Distributed Generation in Distribution Network

In view of the problem of locating and sizing of distributed generation (DG) in distribution network,a multi-objective optimization model is proposed in this paper.The multi-objective function includes the maximum penetration of DG,the maximum system network loss improvement rate and the maximum voltage quality improvement rate and its weight determined by estimation-matrix method.An improved fruit fly optimization algorithm (IFOA) is proposed and employed to optimize the location and sizing of the distributed generation.The simulation results of IEEE 33-node system show that,compared with the genetic algorithm (GA) and traditional fruit fly optimization algorithm (FOA),the improved fruit fly optimization algorithm has a great advantage on search speed and accuracy,which verifies the practicability and validity of the proposed optimization model and improved algorithm.