拥塞管理中基于BCO的线路中断识别技术

2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia Pub Date : 2012-06-06 DOI:10.1109/PEOCO.2012.6230896

M. Rahim, I. Musirin, Z. Hamid, N. A. M. Kamari

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引用次数: 0

摘要

在一个现代化的城市化都市国家，能源特别是电能被认为是不可避免的必需品，因为它们的需求每年都在明显地增加。从那时起，电力系统的拥堵给电力公司带来了严重的问题。如果不小心处理这些问题，将会发生可怕的灾难性事件，因此建议采用适当的方法来探索解决拥塞问题的新途径。本文提出了用蜂群优化技术解决电力系统拥塞问题的拥塞管理方法。BCO已在IEEE 30总线可靠性测试系统(RTS)总线和IEEE 26-RTS总线上进行了验证。然而，为了验证目的，其他优化如进化规划(EP)和粒子群优化技术(PSO)也被使用。

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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BCO based technique for line outage identification in congestion management

In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particular. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.

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2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia

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