Optimal Planning of Smart Electric Vehicle Parking lot in the Active Distribution Network

H. Hosseinnia, J. Modarresi, H. Delavaripour
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引用次数: 2

Abstract

Smart electric vehicle parking lots (SEVPL) can operate as generator and load, and charge and discharge their storage systems. This leads to a nearby flat daily load curve. Therefore, distribution network operator (DNO) prefers to install SEVPL in the distribution network (DN). In this paper, optimal planning of SEVPL is formulated as a cost function in DN. The proposed SEVPL includes: diesel generator (DG), photovoitaic system (PV) and batteries. Demand response (DR) under time of use (TOU) pricing is employed to transfer consumption from the on-peak time to the off-peak time. All uncertainties of the system are considered in the problem codification. All simulations are carried out in MATLAB software, and improved particle swarm optimization algorithm (IPSO) is used to solve the optimization problem.
主动配电网中智能电动车停车场的优化规划
智能电动汽车停车场(SEVPL)可以作为发电机和负载,并对其存储系统进行充放电。这导致了附近的平坦日负荷曲线。因此,配电网运营商(DNO)倾向于在配电网(DN)中安装SEVPL。本文将SEVPL的最优规划表述为DN中的成本函数。拟议的SEVPL包括:柴油发电机(DG),光伏系统(PV)和电池。采用分时电价(TOU)下的需求响应(DR)来实现用电从高峰时段向非高峰时段的转移。在问题编纂中考虑了系统的所有不确定性。所有仿真均在MATLAB软件中进行,并采用改进的粒子群优化算法(IPSO)来解决优化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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