长江科学院院报2025，Vol.42Issue(9)：202-211,10.DOI:10.11988/ckyyb.20240878
一种考虑电量执行率的短期多目标优化模型
Short-term Multi-objective Optimization Model Considering Execution Rate of Electricity
摘要
Abstract
[Objective]Short-term optimal scheduling of cascade reservoirs is complicated by hydraulic connec-tions among power stations and environmental factors,and most studies neglect the risk of deviating from normal op-erations.Therefore,this paper proposes a plan completion rate indicator that comprehensively measures deviation and scheduling target satisfaction using the Feature Similarity Index(FSI),and constructs a short-term multi-objec-tive optimization model aiming to maximize cascade power generation and plan completion rate.[Methods]For the short-term multi-objective joint optimization scheduling of the lower-Jinsha River cascade,K-means clustering of historical plant data was first conducted.Silhouette coefficient(SC)and Davies-Bouldin index(DBI)were used to select the optimal number of clusters for each station on a monthly basis.Typical generation patterns were then ex-tracted based on these optimal clusters to provide a data foundation for the subsequent scheduling model.Further,a multi-objective model maximising power generation and plan-completion rate,using the Feature Similarity Index(FSI)to comprehensively evaluate deviation and the degree of scheduling target fulfillment,subject to water bal-ance,water level,discharge and output constraints,was built and solved by NSGA-Ⅱ(using a water-level corridor to handle hard constraints).The final scheme was selected using the entropy weight method and the VIKOR multi-criteria compromise ranking method.[Results]In the case study,Pareto solutions showed a clear trade-off between power generation(921.52-922.13 million kW·h,range 0.61 million kW·h)and FSI(0.831 6-0.872 6,range 0.041)with evenly distributed results.Entropy weighting assigned weights of 0.513 2 to generation and 0.486 8 to FSI.The VIKOR-selected compromise scheme(closeness coefficient 0.002 2)yielded 921.98 million kW·h(7.4％above normal 857.2 million kW·h)and an FSI of 0.861 2,occupying 74.63％and 72.03％of their re-spective ranges.Except for Xiluodu,the outputs variation trend of Xiangjiaba,Three Gorges,and Gezhouba plants generally aligned with the typical generation patterns.[Conclusion]The results show that the model effectively bal-ances power benefits with output process deviation and quantifies generation improvements under varying plan com-pletion rates.By scientifically selecting optimal cascade scheduling schemes,it offers reliable references for opera-tors of the cascade reservoirs in the lower-Jinsha River-Three Gorges region and supporting medium-/long-term schedule adjustments as well as the formulation of reservation-period plans.关键词
短期优化/多目标调度/数据挖掘/典型出力提取/计划执行完成率Key words
short-term optimization/multi-objective scheduling/data mining/typical output extraction/plan com-pletion rate分类
建筑与水利引用本文复制引用
覃晖,胡淼,侯栋凯,汪涛,徐杨,许筱乐,李永祥,黎江桥..一种考虑电量执行率的短期多目标优化模型[J].长江科学院院报,2025,42(9):202-211,10.基金项目
国家重点研发计划项目(2021YFC3200303) （2021YFC3200303）
中国长江电力股份有限公司科研项目(Z242202003) （Z242202003）
