基于弃风弃光分段惩罚的孤岛型微电网鲁棒优化经济调度

Robust Optimization Economic Dispatch of Island-type Microgrid Based on Segmentation Penalty of Abandoning Wind and Solar Power

针对可再生能源发电和负荷需求具有不确定性的孤岛型微电网,设计了鲁棒优化经济调度算法。在日前计划阶段,基于微电网系统中的不确定性和孤岛模式下的弃风弃光,寻找不确定性环境下的最恶劣场景,对弃风弃光功率进行分段惩罚,采用列约束生成算法求解出最恶劣场景下的经济最优调度方案;在日内调度阶段,利用可再生能源发电和负荷需求的实时数据,对日前计划阶段的优化解进行微调补偿,改善微电网实时运行的经济性能。算例仿真验证了本文设计算法的有效性和经济性。

Aiming at the island microgrid with uncertain renewable energy generation and load demand,a robust optimization economic dispatch algorithm is designed.In the day-ahead planning stage,based on the uncertainty in the microgrid system and the abandonment of wind and solar under the island mode,the worst scenarios in the uncertain environment are searched for,and the power of abandoned wind and abandoned solar is penalized in stages.The column constraint generation method is used to solve economic optimal dispatching scheme in the worst scenario.In the intra-day dispatch phase,real-time data of renewable energy power generation and load demand are used to fine-tune and compensate the optimized solutions in the day-ahead planning phase to improve the economic performance of real-time microgrid operation.Finally,a simulation example verifies the effectiveness and economy of the algorithm designed in this paper.