基于粒子群算法的RDS多DGS优化分配及其对系统可靠性的影响

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
S. Parihar, Nitin Malik
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引用次数: 2

摘要

本文介绍了分布式发电机在径向配电系统中的集成。DG穿透使单电源变为多电源,使负荷双向流动,提高了系统的可靠性,降低了系统的功耗。采用粒子群算法和引力搜索算法对RDS中1台和3台DG机组的最优选址和最优规模进行优化,考察其对系统可靠性和降低损耗的影响。考虑的dg类型有I型(注入实电)和IV型(注入无功和实电)。恒功率是所选择的负载模型。系统可靠性分析采用的可靠度指标有:平均不供电量、总不供电量和平均系统中断时间指标。在33总线上验证了该方法在单个和多个dg存在下的有效性。分析了IV型DG与I型DG相比,通过改进母线电压分布、系统可靠性和显著的年损耗节约,显著降低了系统功率损耗。将确定的结果与其他元启发式方法以及分析技术进行比较,以证明所提出方法的优越性。结果也得到了统计验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal allocation of multiple DGS in RDS using PSO and its impact on system reliability
This article presents the distributed generator (DG) integration in a radial distribution system (RDS). The DG penetration changes the single power source to multiple power sources and bidirectional load flow which enhances the system reliability and reduces system power losses. The particle swarm optimization and gravitational search algorithm are implemented for the optimal siting and sizing of one and three DG units in the RDS to examine its impact on system reliability and loss reduction. The types of DGs considered are Type I (injects real power) and Type IV (injects reactive and real power). The constant power is the chosen load model. The reliability indices taken for the analysis of system reliability are Average Energy Not Supplied, Total Energy Not Supplied and Average System Interruption Duration Index. The efficacy of the proposed method is validated on 33-bus in the presence of single and multiple DGs. The significant decrease in system power losses with the upgraded bus voltage profile, system reliability and remarkable annual loss saving is analyzed for Type IV DG over Type I DG. The results determined are compared to other meta-heuristic approaches as well as analytical techniques to demonstrate the superiority of the proposed methodology. The results are also statistically verified.
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来源期刊
Facta Universitatis-Series Electronics and Energetics
Facta Universitatis-Series Electronics and Energetics ENGINEERING, ELECTRICAL & ELECTRONIC-
自引率
16.70%
发文量
10
审稿时长
20 weeks
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