Optimal Operation of Smart Buildings with Stochastic Connection of Electric Vehicles

Jiachang Huang, Dongxiao Wang, R. Wu, Chun Sing Lai, C. Xie, Zhuoli Zhao, L. Lai
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引用次数: 2

Abstract

One of the key domains in smart cities is smart energy in which smart grid is a main focus. In recent years, with the development of smart grid, controllable air conditioning load participating in demand response projects and the application of renewable energy sources have drawn wide research interests. The integration of photovoltaic (PV) system and electric vehicles into the micro grid has also brought vitality to the stable operation of smart grids. In this paper, a novel control scheme is proposed to optimize the scheduling of building micro grid that integrate controllable air conditioner loads, PV panels and electric vehicles. The optimal operation problem is modeled and further converted into a mixed integer linear programming (MILP) problem whose objective function is minimizing the electricity cost of the building. The stochastic characteristics of electric vehicles are also considered in this paper to better model electric vehicle behaviors. Simulations are conducted on an office building micro grid and the simulation results verify the feasibility of proposed control strategy.
电动汽车随机连接智能建筑的最优运行
智能能源是智慧城市发展的关键领域之一,智能电网是智能城市发展的重点。近年来,随着智能电网的发展,可控空调负荷参与需求响应项目和可再生能源的应用引起了广泛的研究兴趣。光伏系统和电动汽车融入微电网,也为智能电网的稳定运行带来了活力。本文提出了一种新的空调负荷可控、光伏板可控、电动汽车可控的建设微网调度优化控制方案。对最优运行问题进行建模,并将其转化为以建筑物用电成本最小为目标函数的混合整数线性规划问题。为了更好地模拟电动汽车的行为,本文还考虑了电动汽车的随机特性。在某办公楼微电网上进行了仿真,仿真结果验证了所提控制策略的可行性。
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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