配电网在不同负荷方案下的减损重构

Sandeep Sehgal, A. Swarnkar, N. Gupta, K. R. Niazi
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引用次数: 3

摘要

提出了一种基于元启发式的径向配电系统最小损耗重构算法。该方法采用遗传算法对重构问题进行优化。研究结果表明,负荷类型是重构问题的主要决定因素,该方法能够找到任何规模配电系统的最优解,与其他现有算法相比,计算量要少得多。仿真结果在广泛应用的33节点试验配电系统上进行了验证,并与传统的恒负荷模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconfiguration of distribution network for loss reduction at different load schemes
This paper presents a meta-heuristic based algorithm for determining the minimum loss reconfiguration for different load models in radial distribution system. Proposed method includes the genetic algorithm (GA) for optimizing the reconfiguration problem. After investigating the results obtained by the proposed method, it is clear that the type of load is a main deciding factor for reconfiguration problem and the methodology is capable to find out the optimal solution for any size of distribution systems and demands much less computational burden as compared to other existing algorithms. Simulation results are tested on widely used 33-node test distribution system and compared to the conventional constant load model.
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