径向配电系统中DG源与D-STATCOM设备联合分配的负荷模型影响

B. Sujatha, A. Usha, R. Geetha, E. Poornima
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引用次数: 0

摘要

本文主要研究了径向分布结构下D-STATCOM设备与分布式发电源组合分配的基于群体的智能粒子群优化算法。这项工作旨在减少总实际功率损耗,总成本和电压幅值分布在不同情况下的增强。通常对配电方案进行恒负荷设计分析。然而,负载模型对DG源和D-STATCOM装置的最佳尺寸和定位有显著影响。本文研究了从轻负荷因子(0.6)到重负荷因子(1.6)各种负荷因子条件下的恒负荷、多项式负荷和负荷增长模型,用于电力系统规划。基于损耗敏感因子计算和粒子群算法规则,考虑了D-STATOM器件和DG源的尺寸和定位问题。在IEEE 69节点和IEEE 33节点径向分布结构上对规划方案进行了研究。最后,将该算法的仿真结果与其他技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Various Load Models for Combined Assignment of DG Source and D-STATCOM Device in the Radial Distribution System
This research work is concentrated on swarm-based intelligence Particle Swarm Optimization algorithm for combined assignment of D-STATCOM device and Distributed Generation source in a radial distribution structure. This work intends to diminish total real power loss, total cost and voltage magnitude profile enhancement for different circumstances. Generally Constant Power load design analysis is carried out for a distribution scheme. However, it is observed that load models remarkably impact the optimum sizing and positioning of DG source and D-STATCOM device. In this paper, work has been carried out for constant power load, polynomial load, and load growth model under various load factor conditions from light load factor (0.6) to heavy load factor (1.6) for power system planning. The sizing and positioning of D-STATOM device and DG source are considered based on loss sensitivity factor computation and PSO algorithmic rule. The planned scheme is investigated on IEEE 69 node and IEEE 33 node radial distribution structures. Further, the simulated results obtained by this algorithm is compared with other available techniques.
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