A solution of generation expansion problem by means of neutral network

H. Sasaki, J. Kubokawa, M. Watanabe, R. Yokoyama, R. Tanabe
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引用次数: 19

Abstract

The authors present how to solve power system generation expansion planning by artificial neutral networks, especially the Hopfield type network. In the first place, generation expansion planning is formulated as a 0-1 integer programming problem and then mapped onto the modified Hopfield neural network that can handle a large number of inequality constraints. The neural network simulated on a digital computer can solve a fairly large problem of 20 units over 10 periods. Although the network cannot give the optimal solution, the results obtained are quite promising.<>
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利用中性网络解决发电扩展问题
介绍了如何利用人工神经网络,特别是Hopfield型网络来解决电力系统的发电扩容规划问题。首先将代扩展规划表述为一个0-1整数规划问题,然后将其映射到可处理大量不等式约束的改进Hopfield神经网络上。在数字计算机上模拟的神经网络可以在10个周期内解决20个单元的相当大的问题。虽然网络不能给出最优解,但得到的结果是相当有希望的
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