利用粒子群算法对配电网中DG的位置和大小进行优化

Mohsen Sedighi, Arazghlich Igderi, Aliakbar Dankoob, S. M. Abedi
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引用次数: 14

摘要

分布式发电(DG)一般是指在用电地发电。但有时,它会告诉使用可再生能源发电的技术。本文提出了配电系统中DG的最优配置和最优配置的方法。在本文中,我们的目标是在几个参数下优化分布式发电的分配和规模,包括:改善配电网络的电压分布、降低损耗和减少总谐波失真。采用粒子群算法(PSO)作为求解工具,确定目标,定义问题,引入目标函数。考虑到粒子群算法过程中适应度值的敏感性,需要应用潮流和谐波计算进行决策。最后,以典型配电网为例,验证了该方法的可行性,并在解质量和计算效率方面与遗传算法进行了比较。实验结果表明,所提出的粒子群算法确实能够有效地获得高质量的解。
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Sitting and sizing of DG in distribution network to improve of several parameters by PSO algorithm
Distributed Generation (DG) generally means power generation in consumption locality. But sometimes, it told technologies that use renewable energies for power generation. This paper presents a method for optimal sitting and sizing of DG in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for several parameters, include: voltage profile improvement, loss reduction, and THD (Total Harmonic Distortion) reduction in distribution networks. Particle Swarm Optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently.
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