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首页> 外文期刊>Energy Conversion & Management >Short-term hydro generation scheduling of Xiluodu and Xiangjiaba cascade hydropower stations using improved binary-real coded bee colony optimization algorithm
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Short-term hydro generation scheduling of Xiluodu and Xiangjiaba cascade hydropower stations using improved binary-real coded bee colony optimization algorithm

机译：改进的二进制编码蜂群优化算法在溪洛渡和向家坝梯级水电站短期发电调度中的应用

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摘要

Short-term hydro generation scheduling (STHGS) of cascade hydropower stations is a typical nonlinear mixed integer optimization problem to minimize the total water consumption while simultaneously meeting the grid requirements and other hydraulic and electrical constraints. In this paper, STHGS problem is decomposed into two parallel sub-problems of unit commitment (UC) and economic load dispatch (ELD), and the methodology of improved binary-real coded bee colony optimization (IB-RBCO) algorithm is proposed to solve them. Firstly, the improved binary coded BCO is used to solve the UC sub-problem with 0-1 discrete variables, and the heuristic repairing strategy for unit state constrains is applied to generate the feasible unit commitment schedule. Then, the improved real coded BCO is used to solve the ELD sub-problem with continuous variables, and an effective method is introduced to handle various unit operation constraints. Especially, the new updating strategy of DE/best/2/bin method with dynamic parameter control mechanism is applied to real coded BCO to improve the search ability of IB-RBCO. Finally, to verify the feasibility and effectiveness of the proposed IB-RBCO method, it is applied to solve the STHGS problem of Xiluodu and Xiangjiaba cascaded hydropower stations, and the simulating results are compared with other intelligence algorithms. The simulation results demonstrate that the proposed IB-RBCO method can get higher-quality solutions with less water consumption and shorter calculating time when facing the complex STHGS problem.
机译：梯级水电站的短期水力发电调度（STHGS）是一个典型的非线性混合整数优化问题，可以最大程度地减少总用水量，同时满足电网需求以及其他水力和电力约束。本文将STHGS问题分解为单元承诺（UC）和经济负荷分配（ELD）的两个并行子问题，并提出了改进的二进制实数编码蜂群优化（IB-RBCO）算法的方法来解决他们。首先，使用改进的二进制编码的BCO来求解具有0-1个离散变量的UC子问题，并应用单元状态约束的启发式修复策略来生成可行的单元承诺进度表。然后，将改进的实编码BCO用于求解具有连续变量的ELD子问题，并介绍了一种有效的方法来处理各种单元操作约束。特别地，将具有动态参数控制机制的DE / best / 2 / bin方法的新更新策略应用于实码BCO，以提高IB-RBCO的搜索能力。最后，为验证本文提出的IB-RBCO方法的可行性和有效性，将其用于解决溪洛渡和向家坝梯级水电站的STHGS问题，并将仿真结果与其他智能算法进行了比较。仿真结果表明，所提出的IB-RBCO方法在面对复杂的STHGS问题时，可以得到耗水量少，计算时间短的高质量解。

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  • 来源
    《Energy Conversion & Management》 |2015年第2期|19-31|共13页
  • 作者

    Peng Lu; Jianzhong Zhou; Chao Wang; Qi Qiao; Li Mo;

  • 作者单位

    School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Short-term hydro generation scheduling; Cascaded hydropower stations; Binary-real coded bee colony optimization; Heuristic repairing strategy;

    机译：短期水力发电调度;梯级水电站;二进制实数编码的蜂群优化;启发式修复策略;

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