考虑电动汽车充电负荷的有源配电网运行优化
Optimization of Active Distribution Network Operation Considering EV Charging Load
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摘要: 随着电动汽车(Electric Vehicles,EV)与分布式电源(Distributed Generator,DG)在有源配电网中的渗透率不断提高,有源配电网面临源-荷功率失配加剧以及电压稳定性恶化的双重挑战。智能软开关(Soft Open Point,SOP)具备连续可调的功率传输能力,为配电网的电压精准调控提供了全新的技术途径,因此提出一种包含SOP的有源配电网运行优化策略。首先,运用蒙特卡洛模拟方法构建日前场景集,以刻画源-荷双侧功率的不确定性特征;接着,搭建SOP与传统无功调压设备的协同运行架构,并构建以网络损耗最小化和电压偏差最小化为目标的优化模型;最后,在改进的IEEE 33节点测试系统上进行仿真验证,结果显示所提出的方法在提升系统经济性与电压质量方面成效显著。Abstract: With the increasing penetration rate of electric vehicles (EVs) and distributed generators (DGs) in active distribution networks, active distribution networks are facing the dual challenges of increasing source-load power mismatch and deteriorating voltage stability. The intelligent soft open point (SOP) has the ability to continuously adjust the power transmission, which provides a new technical approach for the precise voltage regulation of the distribution network. In this paper, an active distribution network operation optimization strategy with SOP is proposed. Firstly, the Monte Carlo simulation method is used to construct the day-ahead scene set, so as to describe the uncertainty characteristics of the power on both sides of the source and load; then, the cooperative operation architecture between SOP and traditional reactive voltage regulation equipment was constructed, and an optimization model was constructed with the goal of minimizing network loss and voltage deviation. Finally, the simulation results show that the proposed method has significant effect in improving the system economy and voltage quality.
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