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首页> 外文期刊>IEEE Transactions on Power Systems >Economic load dispatch for piecewise quadratic cost function using Hopfield neural network
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Economic load dispatch for piecewise quadratic cost function using Hopfield neural network

机译:基于Hopfield神经网络的分段二次成本函数的经济负荷分配。

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摘要

The authors present a new method to solve the problem of economic power dispatch with piecewise quadratic cost function using the Hopfield neural network. Traditionally one convex cost function for each generator is assumed. However, it is more realistic to represent the cost function as a piecewise quadratic function rather than one convex function. In this study, multiple intersecting cost functions are used for each unit. Through case studies, the possibility of the application of the Hopfield neural network to the economic load dispatch problem with general nonconvex cost functions was shown. The proposed approach is much simpler and the results are very close to those of the numerical method.
机译:作者提出了一种使用Hopfield神经网络解决具有分段二次成本函数的经济实力分配问题的新方法。传统上,每个发电机都采用一个凸成本函数。但是,将成本函数表示为分段二次函数而不是一个凸函数更为现实。在这项研究中,每个单位使用多个相交的成本函数。通过案例研究,表明了将Hopfield神经网络应用于具有一般非凸成本函数的经济负荷分配问题的可能性。所提出的方法简单得多,并且结果与数值方法的结果非常接近。

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