Optimal Distribution Networks Expansion Planning with DG for Power Losses Reduction

Hamza Mubarak, H. Mokhlis, Nurulafiqah Nadzirah Binti Mansor, Mahazani Mohamad, Anis Salwa Mohd Khairuddin, Suhail Afzal
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引用次数: 6

Abstract

This paper proposes an optimal distribution networks expansion planning (DNEP) considering costs minimization to expand the networks, DG installation, and power losses under N-1 contingencies for every branch in the network with different load profiles. The proposed strategy has the capability to determine critical branches that significantly impacting the system power losses in case of outages. Due to the complexity of the proposed problem, hybrid metaheuristic technique comprises of Firefly algorithm and Particle Swarm Optimization were applied. The IEEE 33 bus system was utilized to validate the performance of the proposed method. The results shown that some branches have a huge impact on power losses during the N-1 contingency analysis. In addition, the power losses are minimized by 14.32% when DG is optimally considered in the planning strategy in terms of its sizing and placement.
基于DG的配电网优化扩容规划
本文提出了一种考虑成本最小化的配电网扩展规划(DNEP),以满足不同负荷分布下各支路在N-1突发事件下的网络扩展、DG安装和电力损耗。所提出的策略具有确定在停电情况下显著影响系统功率损失的关键分支的能力。考虑到问题的复杂性,采用了萤火虫算法和粒子群算法相结合的混合元启发式算法。利用IEEE 33总线系统验证了所提方法的性能。结果表明,在N-1权变分析中,部分支路对电力损耗的影响较大。此外,在规划策略中考虑DG的大小和位置时,功率损耗降低了14.32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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