综合能源系统多时间尺度优化调度

Multi-time Scale Optimization Dispatch of Integrated Energy System

为提高综合能源系统的可再生能源消纳能力,提出一种基于多时间尺度的综合能源系统经济调度模型。综合考虑经济成本、环保及设备运行成本,建立了以综合成本最低为目标函数的最优经济调度模型。在日内阶段,根据可再生能源预测误差,考虑蓄电池与碳捕集系统一起对运行计划进行实时修正,并校验补偿效果。通过对某工业园区的算例仿真,验证了所提出的方案具有较强的削峰填谷能力,并且对可再生能源功率波动具有较好的平抑效果。

To improve the capacity of renewable energy consumption and storage of the integrated energy system,an economic dispatch model of integrated energy system based on multiple time scales is proposed.By comprehensively considering economic costs,environmental protection and equipment operating costs,an optimal economic dispatch model,whose objective function is achieving the lowest comprehensive cost,is established.In the intraday phase,according to forecast errors of renewable energy,the combined adoption of battery works and carbon capture system is intended to be used to make real-time corrections to the operating plan,and the compensation effect is examined.Through the simulation of an industrial park,it is verified that the proposed scheme has strong"peak shaving and valley filling"capabilities,and a good alleviation effect on renewable energy power fluctuations.