考虑需求侧灵活性资源的商业园区微网多目标优化调度

大规模可再生能源、电动汽车(electric vehicle,EV)和变频空调(inverter air conditioner,IAC)接入商业园区微网(business park microgrid,BPMG)产生的波动性和不确定性为系统灵活运行带来新的挑战。文章提出了一种考虑需求侧灵活性资源的BPMG优化调度方法。基于EV和IAC需求响应模型,量化BPMG需求侧灵活性资源提供的灵活性供给。结合源侧固有灵活性资源和灵活性需求,提出灵活性不足严重度指标,定量评估系统运行灵活性供需失衡的严重程度。在此基础上,建立兼顾运行经济性和灵活性的BPMG多目标优化调度模型,并使用CPLEX优化软件求解。仿真结果表明,所提模型能够协调调度源、荷两侧各类灵活性资源,有效提升BPMG的运行灵活性。

Multi-objective Optimal Scheduling of Business Park Microgrid Considering Demand-Side Flexible Resources

Integration of renewable energy, electric vehicles (EV), and inverter air conditioners (IAC) in the business park microgrid (BPMG) result in fluctuation and uncertainty, which lead to new challenges in operational flexibility of the BPMG. Therefore, a BPMG optimal scheduling method considering demand-side flexible resources is presented. Moreover, the flexible supply provided by BPMG demand-side flexible resource is quantified according to the demand response models of EV and IAC. And then, combined with the flexible resource and flexible demand at the source side, flexibility shortage severity is proposed for quantifying the imbalance severity between the flexible supply and flexible demand. On this basis, a BPMG multi-objective optimal scheduling model considering economy and flexibility is constructed, which can be solved by CPLEX optimization software. Experimental results show that the proposed model can significantly improve the operational flexibility of BPMG by coordinating various flexible resources on both supply and demand sides.