摘要
针对高比例分布式光伏接入低压台区导致的供需平衡问题,以某城市低压台区为例,开展供需平衡识别与优化策略研究。构建了基于数据驱动的供需平衡识别模型,通过光伏发电与负荷预测,实时分析电网供需状态;提出了配储比例优化方案,结合储能系统的动态调整策略,缓解电力过剩与缺口问题;设计了需求侧管理与智能调度策略,优化光伏运行方式,提高电网稳定性与经济性。结果表明,所提策略能够有效应对光伏波动性带来的挑战,为分布式能源的高效消纳和电网安全运行提供了理论依据与技术路径。
In response to the supply-demand balance issues caused by the high penetration of distributed photovoltaic(PV)systems in low-voltage distribution networks,a study on supply-demand balance identification and optimization strategies was conducted,taking a low-voltage distribution area in a certain city as an example.A data-driven supply-demand balance identification model was constructed to analyze the real-time supply-demand status of the power grid through PV generation and load forecasting.An optimization scheme for the energy storage allocation ratio was proposed,combined with dynamic adjustment strategies for the energy storage system,to alleviate issues of power surplus and shortage.Additionally,demand-side management and intelligent scheduling strategies were designed to optimize PV operation modes and enhance grid stability and economic efficiency.The results indicated that the proposed strategies could effectively address the challenges posed by PV volatility,providing a theoretical basis and technical pathway for the efficient accommodation of distributed energy resources and the secure operation of the power grid.
作者
张学勤
俞俊凯
李伟
ZHANG Xueqin;YU Junkai;LI Wei(State Grid Feidong County Power Supply Company,Hefei,Anhui 231600,China)
出处
《自动化应用》
2025年第15期142-145,共4页
Automation Application
关键词
分布式光伏
供需平衡
储能系统
需求侧管理
智能调度
低压台区
distributed PV
supply-demand balance
energy storage
demand-side management
smart dispatch
low-voltage distribution networks
