梯级水电站短期优化调度方法综述
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  • 英文篇名:Methods of cascade hydropower short-term optimization scheduling
  • 作者:代奇迹 ; 毛先胤
  • 英文作者:Dai Qiji;Mao Xianyin;College of electric Engineering,Guizhou University;Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.;
  • 关键词:梯级 ; 优化 ; 调度 ; 数学 ; 模型 ; 约束条件 ; 算法
  • 英文关键词:cascade;;optimal;;scheduling;;mathematical;;model;;constraint condition;;algorithm
  • 中文刊名:GZDJ
  • 英文刊名:Guizhou Electric Power Technology
  • 机构:贵州大学电气工程学院;贵州电网有限责任公司电力科学研究院;
  • 出版日期:2016-08-25
  • 出版单位:贵州电力技术
  • 年:2016
  • 期:v.19;No.206
  • 语种:中文;
  • 页:GZDJ201608005
  • 页数:6
  • CN:08
  • ISSN:52-1106/TK
  • 分类号:15+19-23
摘要
根据现阶段梯级水电站短期优化调度的研究成果,主要从其数学模型、约束条件、优化算法等几个方面进行了综述,详细描述了梯级水电站短期优化调度模型所涉及到的约束条件。从经典优化算法和现代智能算法两个层面分别总结了线性规划、非线性规划、动态规划、遗传算法、粒子群算法、人工神经网络、模拟退火、混合优化算法等算法的优缺点,以及将该算法应用在梯级水电站短期优化调度中所取得的研究成果。
        This pape ris based on current research achievements of short-term optimal dispatching of cascade hydropower station,mainly from the mathematical model and constraint condition,optimization algorithm are reviewed and describes in detail the short-term optimal scheduling model for cascade hydropower stations involved in the constraint condition. From classical optimization algorithm and the modern intellectual aspects respectively summarized the linear programming,nonlinear programming,dynamic programming,genetic algorithm,particle swarm optimization,artificial neural network and simulated annealing,hybrid optimization algorithm,such as the advantages and disadvantages of the algorithm,and the algorithm can be applied to short-term optimal dispatching of cascade hydropower stations of the research.
引文
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