面向风电消纳的车-储-热协同调度策略

良好的需求侧管理能够有效应对风电出力的不确定性,提升风电消纳能力。然而,传统的需求侧管理机制,受参与元素单一的限制,严重影响了资源的利用效率。因此,文章提出一种面向风电消纳的车-储-热协同调度策略。首先,建立了需求侧用户热负荷非均匀特性模型,并将具有差异性的热负荷视作虚拟储热;其次,基于电动汽车的储能特性,建立了电动汽车充放电模型;随后,综合考虑用户扰动成本和电池折旧成本,建立了以风电消纳量最大为目标的调度策略;最后,在GAMS软件上进行算例分析,并与未计及电动汽车参与的调度策略进行对比。结果表明:通过车-储-热协同调度策略,风电消纳量增大了25. 42%,投入产出比减小了10. 3%。

Research on Vehicle-Storage-Heat Joint Dispatching Strategy for Wind Power Consumption

Good demand-side management can effectively cope with the uncertainty of wind power and improve the wind power consumption. However， the traditional demand-side management mechanism is limited by the single element of participation， which seriously affects the efficiency of resource utilization. Therefore， this paper proposes a vehicle-storage-heat joint dispatching strategy for wind power consumption. Firstly， this paper establishes the non-uniform characteristic model of demand-side user heat load， and regards the differential heat load as virtual heat storage. Secondly， according to the energy storage characteristics of electric vehicle， the electric vehicle charging and discharging model is established. Subsequently， comprehensive considering the users disturbance cost and battery depreciation cost， a scheduling strategy with target of the largest wind power consumption is established. Finally， the case analysis is carried out on GAMS software， and compared with the scheduling strategy without considering the participation of electric vehicles. The results show that through the proposed method of the coordinated scheduling of electric vehicles， heat pumps and thermoelectric unit， the wind power consumption is increased by 25.42%， and the input-output ratio decreased by 10.3%.