求解机组承诺问题的改进模拟退火方法

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

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引用次数: 6

摘要

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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Refined simulated annealing method for solving unit commitment problem

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

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