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Optimal placement and sizing of distributed generation units using different cat swarm optimization algorithms

机译:使用不同的Cat群优化算法优化分布式发电单元的布局和规模

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This paper presents a proposed method to allocate the distributed generation (DG) units on distribution networks using cat swarm optimization algorithm. The proposed method finds the optimal placement and sizing of DG units. The objectives of the optimization problem are minimizing: total generation costs, total power losses, total emissions produced by the generation units and improving the voltage stability. The proposed method depends on cat swarm optimization (CSO) algorithm and parallel cat swarm optimization (PCSO) algorithm. The proposed optimization methods are tested on the IEEE 33-bus and IEEE 69-bus distribution systems. The results of these algorithms are compared to other previous methods that are reported in this field. The proposed optimization methods are considered effective and perfective method to find the placement and the sizing of the DG units on distribution systems.
机译:本文提出了一种利用猫群优化算法在配电网络上分配分布式发电(DG)单元的方法。所提出的方法找到了DG单元的最佳放置和尺寸。优化问题的目标是最大程度地降低:总发电成本,总功率损耗,发电单元产生的总排放量并改善电压稳定性。所提出的方法依赖于猫群优化(CSO)算法和并行猫群优化(PCSO)算法。所提出的优化方法已在IEEE 33总线和IEEE 69总线分配系统上进行了测试。将这些算法的结果与该领域中报告的其他先前方法进行了比较。所提出的优化方法被认为是在配电系统上查找DG单元的位置和大小的有效且完善的方法。

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