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Optimal allocation of renewable DGs in a radial distribution system based on new voltage stability index

机译:基于新的电压稳定指数的径向分配系统中可再生DG的最优分配

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摘要

Optimal siting and sizing of renewable DGs can provide a clean and sustainable solution for the smart distribution system. In this article, solar photovoltaic (SPV) and wind turbine generating (WTG) are considered as distribution generation (DG) resources. A methodology to determine the optimal location based on a new voltage stability index (VSI) followed by optimal power rating of renewable DGs based on PSO algorithm in the radial distribution system is proposed. The effectiveness of the method is tested and validated on IEEE 34-bus and 69-bus systems for different load levels. The optimal allocation of SPV-DG and WTG-DG is also carried out in the presence of load growth and composite load model. The method accounts for the change in long-term load profile in the planning stage to improve power system performance. The significant reduction in power losses with improved voltage profile and remarkable annual energy loss saving is noticed for the renewable DGs. Further, the results obtained are compared with the other nature-inspired algorithms to highlight the superiority of the proposed method. The analysis demonstrates that the penetration of renewable DGs allows the system to have load growth for few more years without violating the system constraints. The statistical analysis is also carried out.
机译:优化可再生DG的位置和大小可以为智能配电系统提供清洁,可持续的解决方案。在本文中,太阳能光伏(SPV)和风力涡轮机发电(WTG)被视为配电发电(DG)资源。提出了一种基于新的电压稳定指数(VSI)确定最优位置,然后再基于PSO算法的径向分布式系统中可再生DG的最优额定功率的方法。该方法的有效性在IEEE 34总线和69总线系统上针对不同的负载水平进行了测试和验证。在存在负荷增长和复合负荷模型的情况下,还可以进行SPV-DG和WTG-DG的最佳分配。该方法考虑了规划阶段中长期负荷分布的变化,以改善电力系统的性能。对于可再生DG,已经注意到功率损耗显着降低,电压分布得到改善,并且每年可节省大量能源。此外,将获得的结果与其他受自然启发的算法进行比较,以突出提出的方法的优越性。分析表明,可再生DG的渗透使系统能够在不违反系统约束的情况下,在几年内增加负荷。还进行统计分析。

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