面向光伏消纳的“大机小网”系统两阶段优化调度

文章提出了考虑需求响应和海蓄机组的"大机小网"系统两阶段优化调度方法,解决了大规模光伏并网的消纳问题。该方法在日前调度阶段利用火电运行成本、光伏未消纳量和负荷补偿成本建立综合目标函数,并考虑需求侧响应相关约束,得到经济性最优的日前调度值;在日内调度阶段引入随机模型预测控制,通过海蓄机组平衡光伏波动剧烈场景下的日前预测误差。通过算例分析,该方案减小了弃光量,完成了"大机小网"下的经济优化调度。

Two-stage optimal dispatch of"large machine and small network"system for photovoltaic accommodation

A two-stage optimal dispatch method for"large machine and small network"system is proposed to accommodate the large-scale photovoltaic power in this paper,which considers demand response and seawater pumped storage units.During the day-ahead dispatching stage,a comprehensive economic objective function is established by introducing the operation cost of thermal power,the curtailed photovoltaic power and the cost of load compensation.Besides,the demand response is also considered in the day-ahead dispatching constraints.During the intra-day dispatching stage,the stochastic model predictive control method is adopted to balance the photovoltaic forecast error compared to the day-ahead forecast result in the case of severe photovoltaic fluctuations.The case studies have proved that the scheme can improve the photovoltaic accommodation and realize the economic optimal dispatch under the"large machine and small network"system.