利用经典方法和神经网络进行经济调度

2013 8th International Conference on Electrical and Electronics Engineering (ELECO) Pub Date : 2013-11-01 DOI:10.1109/ELECO.2013.6713826

Labed Imen, Boucherma Mouhamed, L. Djamel

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引用次数: 5

摘要

本文采用两种方法对电力系统的经济调度进行了研究。在第一种方法中使用了经典的梯度方法，而在第二种方法中使用了属于人工智能领域的方法，即神经网络方法。在这两种情况下，系统约束如线路损耗和发电机限制都包括在内。

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Economic dispatch using classical methods and neural networks

This paper presents the economic dispatch studies for electrical power systems using two approaches. In the first approach a classical method is used which is the gradient method, whereas, in the second approach a method that belongs to the field of artificial intelligence, which is the neural networks method, is used. In both cases system constraints like line losses and generators limits are included.

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来源期刊

2013 8th International Conference on Electrical and Electronics Engineering (ELECO)

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