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Mono-criterion electrical distribution systems planning using particle swarm optimization

机译:使用粒子群算法的单准则配电系统规划

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This paper dealt with the optimal distribution network planning (DNP) under loads growth condition where the Particle Swarm Optimization with Constriction Factor (PSO-CF) was considered. This paper aimed at ensuring that the consumers' load demands which always increase with time can be satisfied in an optimum way by the distribution network reconfiguration (DNR). The planning problem was addressed as a mono-criterion one with reduced power losses cost objective. The radiality, voltages limits, and power balance constraints were taken into consideration in this study. So as to evaluate the active power losses, a load flow technique was carried out. The PSO-CF was tested on IEEE-10 bus. All simulation studies and results showed the algorithm efficiency and capability to fulfill good results.
机译:研究了负荷增长条件下的最优配电网规划(DNP),其中考虑了具有约束因子的粒子群算法(PSO-CF)。本文旨在确保通过配电网络重新配置(DNR)以最佳方式满足用户的负载需求,该需求会随着时间的推移而不断增加。规划问题被视为一种单一标准,以降低电力损耗成本为目标。在这项研究中考虑了半径,电压限制和功率平衡约束。为了评估有功功率损耗,采用了潮流技术。 PSO-CF已在IEEE-10总线上进行了测试。所有仿真研究和结果均表明算法的效率和实现良好结果的能力。

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