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梯级水库群汛前消落控制多目标优化方法
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  • 英文篇名:Multi-objective Optimal Control of Cascaded Reservoirs During Drawdown Period Before Flood Season
  • 作者:曹瑞 ; 申建建 ; 程春田 ; 朱江 ; 高英
  • 英文作者:CAO Rui;SHEN Jianjian;CHENG Chuntian;ZHU Jiang;GAO Ying;Institute of Hydropower & Hydroinformatics, Dalian University of Technology;Guizhou Wujiang Hydropower Development Limited Liability Company;
  • 关键词:梯级水库 ; 消落控制 ; 水火电协调 ; 基尼系数 ; 多目标决策
  • 英文关键词:cascaded reservoirs;;drawdown control;;hydro-thermal coordination;;Gini coefficient;;multi-objective decision making
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:大连理工大学水电与水信息研究所;贵州乌江水电开发有限责任公司;
  • 出版日期:2019-04-19 16:25
  • 出版单位:中国电机工程学报
  • 年:2019
  • 期:v.39;No.623
  • 基金:国家自然科学基金项目(51579029,91547201);; 中央高校基本科研业务费专项资金项目(DUT19JC43)~~
  • 语种:中文;
  • 页:ZGDC201912008
  • 页数:11
  • CN:12
  • ISSN:11-2107/TM
  • 分类号:84-94
摘要
大型水库汛前消落控制是流域梯级乃至整个水电系统调度的核心问题之一,关系到电网的安全、稳定、经济运行。该文以乌江干流梯级水电工程为背景,结合贵州电网水火电协调运行需求,提出梯级水库群汛前消落控制多目标优化方法,引入"基尼系数"描述梯级蓄能消落均衡程度,构建了蓄能消落基尼系数最小和发电量最大多目标优化模型;提出耦合"随机原则"和"满意原则"的多情景决策方法,挖掘来水不确定性及年初蓄能状态对目标变化趋势的影响,确定不同情景下蓄能消落基尼系数控制边界,以优选适合的梯级水库汛前消落控制方式。实际应用结果表明,该文方法可以兼顾发电效益和梯级蓄能均衡消落控制需求,得到便于实际调度操作的消落控制方式。
        The optimal drawdown control of large scale cascaded reservoirs before flood season plays a key role in the operation of cascaded reservoirs and even the entire hydropower system, and relates to the safe, stable and economical operation of the power grid. Introducing Gini coefficient as the equilibrium measurement of drawdown process and taking Wujiang cascaded reservoirs as the background, a multi-objective optimization model for drawdown control of cascaded reservoirs was constructed. The objective of the model was to minimize the Gini coefficient and maximize the power generation, and a constraint method was used to obtain the Pareto solutions. Based on the optimized results, a multi-scenario decision making method based on random and satisfaction principle was proposed, which takes into account the influence of the inflow uncertainty and the different initial energy storage states. According to the multiple scenario single-objective optimization results, the comparatively better Gini coefficient control value is picked out, and finally the drawdown control decision results of cascaded reservoirs in different conditions and the general order of drawdown of the main regulating reservoirs are determined. The case study results show that the proposed method of this paper can meet the demands for power generation benefits and equilibrium drawdown control, and obtain the feasible and practical drawdown control scheduling.
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