微电网改进多时间尺度能量管理模型

为减小可再生能源随机性和波动性给微电网稳定经济运行带来的影响,考虑到可再生能源预测精度随时间尺度减小而提高的特点以及不同时间尺度能量管理之间的强耦合关系等因素,在常规多时间尺度能量管理框架的基础上,提出了微电网多时间尺度能量管理的改进模型及其协调控制策略,即通过在超短期调度与实时控制之间增加超超短期调度,在长期调度与短期调度之间增加缓冲边界约束,在超短期调度中加入与长期特性有关的储能荷电状态惩罚项等改进措施,实现对微电网能量管理的逐级细化、优化求解以及全局和局部的协调。实际系统验证表明,相比常规多时间尺度能量管理,所提改进模型及其协调控制策略具有精度高、求解速度快、充分协调各时间尺度优化等特点。

Multi-time Scale Based Improved Energy Management Model for Microgrid

To deal with the randomness and volatility of renewable energy and ensure the economic and stable operation of microgrid, an improved energy management strategy for microgrid based on multi-time scale is proposed under the consideration of the characteristic that the prediction accuracy of renewable energy increases with the decrease of the time scale and the coupling relationship between different time scales. Firstly between long-term and short-term scheduling, buffer boundary constraints are put forward to simplify the constraint to speed up the solving; then is added between ultra short-term and real-time scheduling to make the scheduling more refined step by step; and the SOC penalty factor of energy storage is settled to coordinate the global and local optimality of the system. Finally, experiments in an actual microgrid show that the proposed model has higher accuracy and efficiency than traditional scheduling methods. This work is supported by National Natural Science Foundation of China (No. 51307023) and State Grid Corporation of China.