电子科技2026，Vol.39Issue(1)：47-56,10.DOI:10.16180/j.cnki.issn1007-7820.2026.01.007
基于强度Pareto平衡优化器的共享储能系统实时调度优化
Real-Time Scheduling Optimization of Shared Energy Storage Systems Based on Strength Pareto Equilibrium Optimizer
摘要
Abstract
The volatility,randomness,and intermittency of renewable energy sources,along with the variability of loads,exacerbate the uncertainties on both the supply and demand sides.This poses significant challenges to the in-tegration of renewable energy into the power grid and real-time scheduling.In this study,flexibility indicators and a multi-objective optimization algorithm are employed to implement the real-time scheduling strategy.Shared energy storage microgrid clusters and electric vehicles are regarded as flexible resources,and new flexibility indicators are de-fined to ensure the flexibility of the system during the day-ahead scheduling stage and enhance the system's ability to cope with uncertainties on both the supply and demand sides.The strength Pareto evolutionary optimization algorithm is proposed to solve the power system scheduling scheme with the objectives of minimizing costs and maximizing flexibil-ity,avoiding the results from falling into local optima.The results show that,on the premise of ensuring costs and flexi-bility,the day-ahead scheduling strategy developed by the proposed method enables the utilization rate of renewable energy and the energy self-sufficiency rate to reach 94.22％and 92.87％,respectively,verifying the reliability of the proposed method.关键词
微电网/双侧不确定性/共享储能/灵活性指标/多目标优化/平衡优化器/可再生能源消纳率/实时调度Key words
microgrid/bilateral uncertainty/shared energy storage/flexibility index/multi-objective optimization/equilibrium optimizer/renewable energy consumption rate/real-time scheduling分类
信息技术与安全科学引用本文复制引用
代斌,王红蕾,李滨..基于强度Pareto平衡优化器的共享储能系统实时调度优化[J].电子科技,2026,39(1):47-56,10.基金项目
国家自然科学基金(52067004) （52067004）
国家重点研发计划(2022YFE0205300)National Natural Science Foundation of China(52067004) （2022YFE0205300）
National Key R&D Program of China(2022YFE0205300) （2022YFE0205300）
