禁忌搜索在分布式发电机优化配置中的应用

K. Nara, Y. Hayashi, K. Ikeda, Tomoo Ashizawa
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引用次数: 404

摘要

分布式发电机(dg),如燃料电池、太阳能电池、风力发电机和微型燃气轮机等,将被安装在电力系统的需求侧。如果在配电系统中适当地放置这种分布式发电机,可以减少配电损耗。从损失最小化的角度出发,给出了一种禁忌搜索方法用于寻找dg的最优分配。换句话说,作者讨论了禁忌搜索的实现方法,以确定在电力系统的需求侧最优分配dg时可以减少多少配电损耗。即,通过嵌套使用禁忌搜索算法来确定dg的位置和离散容量,以最小化分布损失。通过数值算例对该方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of tabu search to optimal placement of distributed generators
Distributed generators (DGs) such as fuel cells, solar cells, wind mills and micro gas turbines, etc. are going to be installed on the demand side of power systems. Such distributed generators can reduce distribution loss if they are placed appropriately in the distribution system. In this paper, a tabu search application for finding the optimal allocation of DGs from a viewpoint of loss minimization is illustrated. In other words, the authors discuss about an implementation method of tabu search to find how much distribution loss can be reduced if DGs are optimally allocated at the demand side of a power system. Namely, locations and discrete capacities of DGs to minimize the distribution loss are determined by nested use of the tabu search algorithm. Numerical examples are shown to demonstrate the method.
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