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应用启发式与逐步动态规划法进行机组最优组合
引用本文:赵子臣,相年德,夏清,张伯明.应用启发式与逐步动态规划法进行机组最优组合[J].清华大学学报(自然科学版),1997(1).
作者姓名:赵子臣  相年德  夏清  张伯明
作者单位:清华大学电机工程与应用电子技术系
摘    要:提出了一种机组组合优化的新型启发式方法,与现有的启发式方法不同之处是计及随时间变化的启停机费用对机组优先级的影响,并提出由开启机组决定所带负荷曲线;将该启发式方法与逐步动态优化法相结合进行机组最优组合,使计算时间大为减少,同时可保证得到最优解。计算结果表明,该法具有较好的实用性。另外,文中对现有的机组组合优化方法作了简要评述。

关 键 词:机组组合  电力系统  启发式算法  动态规划

Hybrid heuristic progressive optimality approach to unit commitment
Zhao Zichen,Xiang Niande,Xia Qing,Zhang Boming.Hybrid heuristic progressive optimality approach to unit commitment[J].Journal of Tsinghua University(Science and Technology),1997(1).
Authors:Zhao Zichen  Xiang Niande  Xia Qing  Zhang Boming
Institution:Zhao Zichen,Xiang Niande,Xia Qing,Zhang Boming Department of Electrical Engineering,Tsinghua University,Beijing 100084
Abstract:A new heuristic method of unit commitment is proposed. Start up and shut down cost affects priority list is considered and how much load supplied is decided by units committed, the new heuristic method is different from the existing ones. Computing time is greatly decreased and the global optimal solution is gained by using hybrid heuristic progressive optimality approach to unit commitment. The experimental results indicate that the proposed algorithm has more practicability. In addition, the existing approaches of unit commitment are summarized.
Keywords:unit commitment  power system  heuristic method  dynamic programming
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