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Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation

机译:使用粒子群算法对包括不同负荷模型的多分布式发电单元进行优化布置

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摘要

This study proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generation (DG) units in distribution system with non-unity power factor considering different load models. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. The proposed multi-objective function to be optimised includes a short-circuit-level parameter to represent the protective device requirements. The proposed function also considers a wide range of technical issues such as active and reactive power losses of the system, the voltage profile, the line loading and the Mega Volt Ampere (MVA) intake by the grid. The optimisation technique based on particle swarm optimisation is introduced. The analysis of continuation power flow to determine the effect of DG units on the most sensitive buses to voltage collapse is carried out. The proposed algorithm is tested using the 38-bus radial system and the IEEE 30-bus meshed system. The results show the effectiveness of the proposed algorithm.
机译:这项研究提出了一种基于多目标索引的方法,可以在考虑不同负载模型的情况下,最优地确定具有非单位功率因数的配电系统中多分布式发电(DG)单元的大小和位置。结果表明,负荷模型会严重影响配电系统中DG资源的最佳位置和规模。拟议的要优化的多目标功能包括一个短路水平参数,以表示保护装置的要求。提议的功能还考虑了广泛的技术问题,例如系统的有功和无功功率损耗,电压曲线,线路负载以及电网的兆伏安培(MVA)进气量。介绍了基于粒子群算法的优化技术。进行了持续功率流分析,以确定DG单元对最敏感的母线对电压崩溃的影响。该算法在38总线径向系统和IEEE 30总线网格系统上进行了测试。结果表明了该算法的有效性。

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