Refined simulated annealing method for solving unit commitment problem

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1005493

C. Rajan, M. R. Mohan, K. Manivannan

引用次数: 6

Abstract

The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints with temperature and demand as control parameter. Neyveli Thermal Power Station - II in India, demonstrates the effectiveness of the proposed approach.

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求解机组承诺问题的改进模拟退火方法

本文的目标是以温度和需求为控制参数，在多种约束条件下，寻求使总运行成本最小的发电计划。印度Neyveli热电站II的案例证明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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