考虑系统可靠性的有源配电系统故障限流器多目标优化

Rachawadee Puangsukra, J. Singh, W. Ongsakul, F. Gonzalez-Longatt
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引用次数: 2

摘要

如今,客户满意度不仅取决于电力输送,还取决于系统的可靠性。由此得出了电力公司为提高可靠性而采取的一系列措施。此外,由于分布式发电机提高了配电系统的可靠性和性能,因此分布式发电机也被增强到集成到配电系统中。然而,由于故障水平的提高,DGs可能导致保护装置误操作,导致电力系统停电范围扩大。此外,系统中断是降低系统可靠性的重要原因。为了缓解故障级别的升级,安装了故障限流器(fcl),以限制dg产生的增量故障,提高系统可靠性。然而,为了提高燃料电池的安装效率,采用非主导分选粒子群优化(NSPSO)来寻找燃料电池的最佳放置位置。同时进行了新型的二元粒子群算法和连续粒子群算法对安装位置的选择进行了优化。因此,在优化过程中要考虑三个目标:安装故障限流器的总成本最小,主备继电器对的裕度运行时间总差最小,系统可靠性最大化。最优结果是符合pareto最优前沿多目标的各种解的集合,结果表明了连续二值组合NSPSO的有效性。在IEEE 33总线和IEEE-69总线径向系统上进行了优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Optimization for Enhancing System Coordination Restoration by Placement of Fault Current Limiters on an Active Distribution System with System Reliability Considerations
Nowadays, customer satisfaction relies on not only the power delivery, but also in the system reliability. It results a number of measures adopted by utility for reliability improvement. Moreover, distributed generators (DGs) are also enhanced to integrate to distribution system because DGs improve system reliability and capability. However, DGs can lead to mis-operation of protective devices and wider outage areas in power system due to increase in fault level. Moreover, system outage is the vital cause which decreases the system reliability. To mitigate escalation of fault level, fault current limiters (FCLs) are installed to limit incremental fault generated by DGs and improve system reliability. However, to enhance effectiveness of FCLs installation, non-dominated sorting particles swarm optimization (NSPSO) is adopted to find the optimal placement of FCLs. Moreover, novel binary particle swarm optimization and continuous particle swarm optimization are performed optimization simultaneously for selecting installed locations. Therefore, three objectives are considered in optimization process consist of to minimize total cost of fault current limiters installed, to minimize total different of margin operating time of main and backup relay pairs and to maximize system reliability. The optimal results are the set of various solutions conform with multi-objective placed in pareto optimal front, and the result show effectiveness of combined continuous-binary NSPSO. The optimization process is carried out on IEEE 33-bus and IEEE-69 bus radial system.
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