基于共享储能的微网园区系统能量协同优化

Energy Cooperative Optimization of Micro-grid Campus System Based on Shared Energy Storage

能源互联网是冷、热、电、气高度融合的新兴途径,实现了能源系统的多目标综合优化。首先将共享储能与源-网-荷-储的微网园区综合能源系统相结合,提出了包含光伏、风力发电等分布式能源的协同优化模型;然后通过分析广义能源互联网的运营模式,综合考虑社区综合能源系统中重要设备及负荷等因素,构建以经济性为能量协调优化目标函数;其次,为实现分布式能源的充分利用,在微网优化的基础上,加入电网层的能量优化;最后,利用模糊遗传算法对构建模型进行求解,通过具体算例验证了所提模型的有效性。由于该方案合理利用共享储能,优化过程将能量优化与经济优化相结合,表明所提方案有助于降低费用、合理分配电能。

Energy internet is a new way for the highly integration of cold,heat,electricity,and gas,so as to achieve multi-objective comprehensive optimization of energy systems.Firstly,the shared energy storage was combined with the integrated energy system of the micro-grid park of source-grid-charge-storage,and a collaborative optimization model including distributed energy sources such as photovoltaics and wind power was proposed.Then through the analysis of the broad energy internet operation mode,and comprehensive considering the important equipment and load in the community's integrated energy system,an objective function of energy coordination optimization based on economics was constructed.Secondly,to achieve the full use of distributed energy,based on the optimization of the microgrid,the energy optimization of the grid layer was added.Finally,the fuzzy genetic algorithm was used to solve the construction model,and the effectiveness of the proposed model was verified by a specific example.Since the scheme makes reasonable use of shared energy storage,the optimization process combines energy optimization with economic optimization,indicating that the proposed scheme helps reduce costs and rationally distribute electrical energy.