长江科学院院报2025，Vol.42Issue(6)：203-209,218,8.DOI:10.11988/ckyyb.20240313
基于多目标飞蛾扑火算法的水光互补系统优化调度
Optimal Scheduling of Hydro-photovoltaic Complementary Systems Based on Multi-objective Moth-flame Algorithm
摘要
Abstract
[Objectives]Existing reservoir scheduling studies mainly focus on pure hydropower scheduling,with limited consideration of renewable energy integration.Traditional optimal scheduling of hydro-photovoltaic comple-mentary systems typically prioritizes power generation benefits,which fails to meet the requirements of multi-objec-tive comprehensive utilization.Moreover,compared with pure hydropower scheduling,the optimal scheduling of hydro-photovoltaic complementary systems is more complex to solve.This study aims to establish a multi-objective optimal scheduling model for hydro-photovoltaic complementary systems with the objectives of maximizing annual power generation benefits and maximizing the minimum output during specific periods.[Methods]To overcome the local optimum issue in the Moth-Flame Optimization(MFO)algorithm,improvements were made to the multi-ob-jective MFO from three aspects:update formula,inspiration from moths' linear flight paths,and flame population update strategy.To distinguish individuals that are mutually non-dominated under Pareto dominance,R-domination incorporating reference points was introduced.The combination of these two led to the development of a new high-performance multi-objective evolutionary algorithm:R-IMOMFO.A multi-objective optimization scheduling model for hydro-photovoltaic complementary systems was established,considering both power generation benefits and ca-pacity benefits,and the model was solved using the R-IMOMFO algorithm.[Results]The R-IMOMFO algorithm demonstrated fast convergence,strong resistance to premature convergence,and high accuracy,proving to be an ef-fective method for solving complex multi-objective optimization problems.Using the R-IMOMFO algorithm,non-dominated scheduling solution sets were obtained under three runoff scenarios-wet year,normal year,and dry year-for both power generation and capacity benefits.For each typical year,two extreme schemes and one inter-mediate scheme were selected for comparative analysis.This enabled scheduling operators to select more appropriate solutions based on their prioritization of different objectives.[Conclusions]The proposed multi-objective optimiza-tion model effectively coordinates the relationship between power generation benefits and capacity benefits in hydro-photovoltaic complementary systems,providing data support for decision-making in multi-objective optimal schedu-ling.关键词
发电调度/水光互补/飞蛾扑火算法/发电效益/容量效益/多目标优化调度Key words
hydropower scheduling/hydro-photovoltaic complementarity system/moth-flame optimization algo-rithm/power generation benefits/storage capacity benefits/multi-objective optimized scheduling分类
建筑与水利引用本文复制引用
李泽宏,袁肖峰,肖鹏,张太衡,覃晖..基于多目标飞蛾扑火算法的水光互补系统优化调度[J].长江科学院院报,2025,42(6):203-209,218,8.基金项目
国家自然科学基金项目(51979113) （51979113）
