考虑需求响应和电动汽车参与的主动配电网经济调度
Economic Dispatch of Active Distribution Network with Participation of Demand Response and Electric Vehicle
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摘要: 传统配电网主动管理设备容量有限,需充分挖掘用户侧调节作用,需求响应和电动汽车有序充电作为用户侧重要可调度资源,是主动配电网经济调度切实可行的调节手段。与此同时,风光出力的不确定性给主动配电网调度带来的风险不容忽视。基于此,考虑需求响应及电动汽车有序充电,提出基于信息间隙决策理论的主动配电网经济调度模型。该模型综合考虑网损、分布式发电弃电惩罚、上级电网购电和负荷峰谷差惩罚的调度成本,构建基于价格弹性系数矩阵的实时电价需求响应模型,利用蒙特卡洛模拟分析了电动汽车在有序充电和无序充电时的负荷需求,并考虑主动配电网的多种管理手段,针对不同风险偏好的决策者,制定机会模型与鲁棒模型,为主动配电网经济调度提供决策基础。最后通过改进的IEEE 33节点系统验证了所提经济调度模型的有效性。Abstract: Due to the limited capacity of active management equipment in traditional distribution network, the user-side adjustment needs to be fully considered. As important dispatchable resources, demand response and electric vehicles in coordinated charging mode are two kinds of feasible means for economic dispatch of active distribution network. At the same time, the challenges brought by the uncertainties of wind and solar power output cannot be ignored in the dispatch of active distribution network. Based on the above analysis, an economic dispatch model of active distribution network based on information gap decision theory is proposed by considering demand response and coordinated charging of electric vehicles. The power loss cost, penalty cost of distributed generation power curtailed, power purchasing cost from upper grid and penalty cost related to the peak-to-valley difference are considered simultaneously in the model. Besides, the demand response model of real-time electricity price based on the price elasticity coefficient matrix is constructed and the load demands of electric vehicles in coordinated charging and uncoordinated charging modes are analyzed by using Monte Carlo simulation. Various management means are also considered.Then, opportunity model and robustness model with different risk preference are formulated to provide decision-making basis for decision makers. Finally, the effectiveness of the proposed economic dispatch model is verified by the improved IEEE 33-bus system.