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Simultaneous Allocation of Multiple Distributed Generation Units in Distribution Networks Using Chaotic Grasshopper Optimization Algorithm

机译:混沌蚱蜢优化算法同时分配配电网中的多分布式生成单位

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Recently, most power system planners are interested to integrate distributed generation (DG) in distribution system to meet the exponential growth in load demand. Integration of DG in distribution system is very important to increase the system capacity through reducing the total power drawn from the electric grid. In this paper, chaotic grasshopper optimization algorithm is used to obtain the optimal locations and sizes of P-type and PQ-type based DG units under variable loads in radial distribution system (RDS). The efficiency of the developed technique is tested on IEEE 33bus RDS. From simulation results, it’s observed that integration of PQ-type gives better results than integration of P-type in RDS. However, the developed technique is more efficient to obtain the best results when compared with other techniques.
机译:最近,大多数电力系统规划人员都有兴趣集成分布式系统中的分布式发电(DG),以满足负载需求的指数增长。 DG在分配系统中的集成对于通过减少从电网汲取的总功率来提高系统容量非常重要。在本文中,混沌蚱蜢优化算法用于在径向分布系统(RDS)中可变负载下的P型和PQ型DG单元的最佳位置和大小。在IEEE 33Bus RDS上测试了开发技术的效率。从仿真结果中,观察到PQ型集成比RDS中的p型集成更好。然而,与其他技术相比,开发技术更有效地获得最佳效果。

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