Distribution network reconfiguration with the application of DLMP using genetic algorithm

2017 IEEE Electrical Power and Energy Conference (EPEC) Pub Date : 2017-10-01 DOI:10.1109/EPEC.2017.8286235

Saeed Nematshahi, H. R. Mashhadi

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引用次数: 7

Abstract

Distribution network reconfiguration problem has been known as a common issue in distribution network operation. Up to now, distribution network reconfiguration has been used for minimizing the power loss, reliability concerns and emergency problems. According to the increasing installation rate of Distributed Generations (DGs) and the rapidly growing number of Electric Vehicles (EVs), as a large responsive loads, distribution network operators have encountered new problems. These new aspects of network operation problem consist of congestion problem and require to established distribution market to execute the market process. This paper presents a novel methodology to solve this problem with the application of Distribution Locational Marginal Price (DLMP), using Genetic Algorithm (GA). The standard IEEE 33-bus network has been selected as a suitable case study and simulation results demonstrate the compatibility of proposed method. Comparison with other papers have also been addressed in case of not considering DGs and congestion issue. In the following, DGs participation in distribution electricity market, the congestion problem and numerical results has been shown and discussed.

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利用遗传算法应用DLMP进行配电网重构

配电网重构问题是配电网运行中的一个常见问题。到目前为止，配电网重构主要是为了解决电力损耗最小化、可靠性问题和应急问题。随着分布式发电机组装机率的不断提高和电动汽车数量的快速增长，作为大响应负荷的配电网运营商面临着新的问题。网络运行问题的这些新方面包括拥塞问题，并要求建立配电市场来执行市场过程。本文提出了一种利用遗传算法求解配电网边际价格问题的新方法。以标准的IEEE 33总线网络为例，仿真结果验证了所提方法的兼容性。与其他论文的比较也解决了在不考虑dg和拥塞问题的情况下。下面对分布式电网参与配电市场的拥塞问题和数值结果进行了展示和讨论。

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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2017 IEEE Electrical Power and Energy Conference (EPEC)

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