基于萤火虫算法的拥塞管理的发电机重调度

Sadhan Gope, A. Goswami, P. Tiwari, S. Deb
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引用次数: 12

摘要

在电力系统运行中,随着系统复杂度的增加,在放松管制的环境下,拥塞管理变得更加复杂。这就是为什么在目前的情况下,电力系统拥塞管理是一个复杂的任务,一个独立的系统运营商(ISO)。本文将发电机重调度作为一种拥塞管理技术。本文介绍了一种最近发展起来的元启发式算法——萤火虫算法(FA)。现在的作品是折叠的。首先,计算发电机灵敏度因子(GSF),通过重新调度输出来识别参与拥塞管理的发电机。其次,引入遗传算法求解参与发电机组的最优重调度成本。本文在ieee39总线新英格兰测试系统上进行了测试。
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Generator rescheduling for congestion management using Firefly Algorithm
In power system operation, congestion management has become more complicated with the increase of system complexity in deregulated environment. That is why, in present scenario of power system congestion management is a complex task of an independent system operator (ISO). In this paper, generator rescheduling is used as a congestion management technique. A recently developed meta heuristic algorithm known as Firefly Algorithm (FA) has been introduced in proposed work. The present work is two folded. Firstly, Generator sensitivity factor (GSF) is calculated to identify the generators participating in congestion management by rescheduling their output. Secondly, FA is introduced to find optimal rescheduling cost of participating generators. Present work is tested on IEEE 39 bus New England Test System.
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