OPF利用引力搜索算法确定配电发电机的位置和大小

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC) Pub Date : 1900-01-01 DOI:10.1109/CIEC.2016.7513766

B. K. Sarkar, A. Chakrabarti

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引用次数: 2

摘要

在电价管理中，拥塞管理显得尤为重要，它给电力交易带来了不可避免的问题。本文采用基于引力搜索算法(gravity Search Algorithm, GSA)的优化方法，解决基于贡献因子排序和基于节点拥塞价格排序的最优潮流(OPF)问题，以理想的电压水平和最小的系统损耗达到缓解拥塞和最大经济效益的目的。该方法已在典型的IEEE测试系统上进行了测试。

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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OPF governed determination of location and size of distribution generators using gravitational search algorithm

In the electricity pricing, the congestion management has become extremely important and it can impose unavoidable problems in electricity trading. In this paper, Gravitational Search Algorithm (GSA) based optimization is performed to address the optimal power flow (OPF) problem governed by contribution factor based ranking and nodal congestion price based ranking in order to achieve congestion relief and maximum economic benefit with desired voltage level and minimum system loss. The methodology has been tested on a typical IEEE test system.

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来源期刊

2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)

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