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A new meta‑heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi lateral distribution system for improving resilience

机译:一种新的元启发式探测算法,用于求解多侧分布系统中太阳能光伏系统的最优分配,提高弹性

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摘要

A new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integrationof a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, theperformance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO,TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently,PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromisingthe various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system isanalyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reductionof 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviationindex and increased voltage stability index result in an improved voltage profile and enhanced voltage stability marginin radial distribution systems and its suitability for practical applications.
机译:本文采用了一种新的元启发式探测算法(PFA),以获得最佳分配和同时集成多层的太阳能光伏系统,称为间线 - 光伏(I-PV)系统。起初通过解决IEEE 33-和IEEE中的分布生成问题的最佳分配来评估PFA的性能69总线系统,用于最小化。获得的结果表明,所提出的PFA的性能优于PSO,文学中引用的TLBO,CSA和GOA和其他方法。 50的不同性能测量的比较独立的小道主要展示了PFA的有效性及其对全球Optima的效率。随后,实施PFA以确定考虑到恢复力而不损害的最佳I-PV配置各种操作和辐射性约束。模拟不同的案例研究,I-PV系统的影响是在电压曲线和电压稳定性方面进行分析。所提出的最佳I-PV配置导致减少损失IEEE 33和69总线系统分别为77.87%和98.33%。此外,平均电压偏差降低索引和增加的电压稳定性指数导致改进的电压曲线和增强的电压稳定性边距在径向分配系统及其适用性的实际应用。

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