Optimal placement and sizing from standpoint of the investor of Photovoltaics Grid-Connected Systems using Binary Particle Swarm Optimization
Optimal placement and sizing from standpoint of the investor of Photovoltaics Grid-Connected Systems using Binary Particle Swarm Optimization
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DOI：
10.1016/j.apenergy.2009.12.021
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发表时间：
2010-06
期刊：
影响因子：
11.2
通讯作者：
M. Gómez;A. Lopez;F. Jurado
中科院分区：
文献类型：
--
作者：
M. Gómez;A. Lopez;F. Jurado
本文介绍了一种基于二元粒子群优化的分布式光伏并网系统布局优化方法。主要的技术约束是最大装机峰值功率，这对公用事业配电公司来说是有限的。待优化的适应度函数为盈利能力指标。并将所提出的算法与其他方法进行了比较。为此，计算了平均盈利能力指数与迭代次数的收敛曲线。当考虑相似的计算成本（相似的评估次数）时，所提出的算法比遗传算法得到更好的解。
This paper introduces a Binary Particle Swarm Optimization based method to accomplish optimal location and size of a Photovoltaics Grid-Connected System (PVGCS) for distributed power generation. The main technical constraint is the maximum installed peak power, which is limited for utilities Power Distributor Company. The fitness function to be optimized is the profitability index. A fair comparison between the proposed algorithm and other methods is performed. For such goal, convergence curves of the average profitability index versus number of iterations are computed. The proposed algorithm reaches a better solution than genetic algorithms when considering similar computational cost (similar number of evaluations).