摘要
为高效解决高比例可再生能源接入电力系统带来的出力波动性与不确定性难题,文章提出一种基于多时间尺度耦合的协同优化调度架构。通过建立源储双侧动态博弈模型,构建考虑设备运行约束与经济性指标的综合优化目标函数,采用改进型分布式鲁棒优化算法求解最优调度策略。仿真结果表明,所提方法能有效提升系统调节灵活性,降低备用容量需求。
To efficiently address the challenges of output volatility and uncertainty caused by high proportions of renewable energy in power systems,a collaborative optimization scheduling framework based on multi-time-scale coupling is proposed.By establishing a dynamic game model for both sources and storage,a comprehensive optimization objective function is constructed,taking into account operational constraints and economic indicators of equipment.An improved distributed robust optimization algorithm is used to solve the optimal scheduling strategy.Simulation results show that the proposed method can effectively enhance system regulation flexibility and reduce reserve capacity requirements.
作者
丁亚男
颜士峰
王超
DING Yanan;YAN Shifeng;WANG Chao(Shandong Energy Group Technology Development Co.,Ltd.,Jinan 250014,China)
关键词
可再生能源
储能系统
协同调度
鲁棒优化
多时间尺度
renewable energy
energy storage system
cooperative scheduling
robust optimization
multi-time scale
