基于鲁棒规划的综合能源微网孤岛划分方法

Robust Planning Based Method for Integrated Energy Microgrid Island Partition

针对综合能源微网系统孤岛划分问题,考虑可再生能源和电气热负荷需求的不确定性,将微能源网的能源转换和储存设备作为调度资源,以故障发生后最优化孤岛划分方案为目标,建立了考虑孤岛持续运行的鲁棒孤岛划分模型。在该模型中,以违背停电最短通知时间约束为目标函数惩罚项,为负荷预留一定的故障应对时间,以及避免孤岛负荷因源荷功率波动导致重复接入和切除的问题。基于鲁棒离散优化理论,将不确定性约束转化为确定性约束,构建了混合整数线性规划模型,利用全局鲁棒调节系数改善鲁棒优化的保守性,平衡好孤岛划分方案的经济性和可操作性,以满足不同决策需求。最后通过算例验证了所提模型和求解方法的有效性。

Considering the uncertainty of renewable energy and electricity,gas and heat load,this paper discusses the island partition of integrated energy microgrid system and establishes a robust island partition model based on continuous operation of island.This model uses energy conversion and storage equipment of integrated energy microgrid as scheduling resources,and targets to optimize islanding partition scheme after fault occurrence.In this model,the shortest notification time constraint against the blackout is taken as the target penalty term and a certain response time is reserved for the load to some extent.Meanwhile,it avoids repeated access and removal of island load caused by source power and load fluctuation.The robust discrete optimization theory transforms uncertain constraints into certain constraints,and a mixed integer linear programming model is constructed.Global robust tuning coefficient is used to improve the conservativeness of robust optimization.The economy and operability of the islanding scheme are well balanced to meet different decision-making needs.Finally,the case verifies the effectiveness of the proposed model and solutions.