引用本文:吴慧军,李树山,唐红兵,马翔宇,张玺,廖胜利.耦合调峰与通航需求的梯级水电站群短期多目标优化调度的MILP方法[J].电力自动化设备,2024,44(1):103-110.
WU Huijun,LI Shushan,TANG Hongbing,MA Xiangyu,ZHANG Xi,LIAO Shengli.MILP method for multi-objective short-term optimal scheduling of cascaded hydropower stations coupling peak-shaving and navigation demands[J].Electric Power Automation Equipment,2024,44(1):103-110.
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耦合调峰与通航需求的梯级水电站群短期多目标优化调度的MILP方法
吴慧军1, 李树山1, 唐红兵1, 马翔宇2, 张玺2, 廖胜利2
1.中国南方电网有限责任公司电力调度控制中心,广东 广州 510000;2.大连理工大学 水电与水信息研究所,辽宁 大连 116024
摘要:
电网调峰任务与河道通航需求间的矛盾是水电航运梯级调度时所面临的突出问题,区间回水的顶托作用增大了该问题的复杂性。建立考虑回水影响的梯级水电站群短期多目标优化调度的混合整数线性规划模型,模型以剩余负荷平均距与下游尾水位平均距最小为目标,在将非线性约束通过函数聚合后,利用六面体栅格化技术与第二类特殊有序集约束方法实现该约束的线性化。利用法线边界交叉方法对模型进行求解。算例结果表明,所提方法可以充分计及回水顶托的影响,兼顾调峰与通航需求,高效求解多目标调度问题并获得较理想的结果。
关键词:  多目标优化调度  混合整数线性规划  法线边界交叉法  回水顶托
DOI:10.16081/j.epae.202303035
分类号:TM73
基金项目:国家自然科学基金资助项目(51979023)
MILP method for multi-objective short-term optimal scheduling of cascaded hydropower stations coupling peak-shaving and navigation demands
WU Huijun1, LI Shushan1, TANG Hongbing1, MA Xiangyu2, ZHANG Xi2, LIAO Shengli2
1.Electric Power Dispatching and Control Center of China Southern Power Grid Company Limited, Guangzhou 510000, China;2.Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian 116024, China
Abstract:
The contradiction between the peak-shaving task of power grid and the demand of river navigation is a critical problem faced by the cascaded hydropower stations with navigation tasks when scheduling, and the jacking effect of interval backwater increases the complexity of the problem. A mixed-integer linear programming model for multi-objective short-term optimal scheduling of cascaded hydropower stations is established considering the backwater influence, which takes the minimum average distances of remaining load and downstream tail water level as the objectives. After the nonlinear constraints are aggregated by the function, the constraints are linearized by the hexahedral grid technology and the second kind special ordered set constraint method. The normal boundary intersection method is used to solve the model. Example results show that the proposed method can fully consider the influence of backwater jacking, consider both the peak shaving and navigation requirements, efficiently solve the multi-objective scheduling problem and obtain ideal results.
Key words:  multi-objective optimal scheduling  mixed-integer linear programming  normal boundary intersection method  backwater jacking

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