源网荷储协同调控下新能源消纳优化策略研究

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中图分类号：TM61 文献标识码：A 文章编号：1672-3791（2026）03-0084-03

Research on Optimization Strategy of New Energy Consumption Under Source-Grid-Load-Storage Collaborative Regulation

YU Qian OuYANGLexi WANG Yibo ZOUYe

HunanUniversity ofFinanceand Economics，Changsha，HunanProvince，41O2O5 China

Abstract： This paper proposes an optimization strategy for renewable energy consumption based on coordinated regulationofgeneration，grid，load，andstorage.Byintegrating multi-objectiveoptimization models，ahybridchaotic particle swarm algorithm，and multi-agent reinforcement learning，hierarchical partition schedulingand crossregional power mutual aid are realized. Simulation results show that the strategy improves renewable energyutilization to 95.9% ，reduces curtailment to 4.1% ，and controls frequency deviation within ±0.12Hz ，demonstrating robustness and cost-effectiveness under complex conditions.

Keywords： New energy consumption; Source-grid-load-storage coordination; Multi-objective optimization; In - telligent scheduling

1源网荷储协同调控技术

随着全球能源结构转型加速，风电、光伏等新能源在电力系统中的渗透率持续攀升。（剩余4210字）