具有禁止操作区域的约束经济调度:Hopfield神经网络方法

Taiikut Yalcinoz, Halis Altun, Usaina Hasan
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引用次数: 23

摘要

本文探讨了Hopfield神经网络在电力系统负荷调度问题中的应用。这是一个具有禁作区的约束经济调度问题。Yalcinoz和Short(1997)讨论了一种特殊的方法来提高Hopfield网络解决无约束经济调度问题的性能。本文将改进的Hopfield网络应用于约束经济调度问题。采用了一种新的映射过程,并描述了一种利用松弛变量技术处理不等式约束来获得权重和偏差的计算方法。采用建议的方法是由15个单位的系统,其中4个单位有禁区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constrained economic dispatch with prohibited operating zones: a Hopfield neural network approach
The work explores the use of Hopfield neural network for a load dispatch problem in a power system. It is a constrained economic dispatch problem with prohibited operating zones. Yalcinoz and Short (1997) discussed a special methodology to improve the performance of Hopfield networks for solving the unconstrained economic dispatch problem. In this paper the improved Hopfield network is applied to the constrained economic dispatch problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints. Applying the proposed approach is demonstrated by a 15 unit system with 4 units having prohibited zones.
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