A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System

被引：229

作者：

Liu, Nian ^{[1
]}

Chen, Qifang ^{[1
]}

Liu, Jie ^{[1
]}

Lu, Xinyi ^{[1
]}

Li, Peng ^{[2
]}

Lei, Jinyong ^{[2
]}

Zhang, Jianhua ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China

[2] China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Commercial building; electric vehicles (EVs); heuristic strategy; microgrid; optimization methods; power allocation; ELECTRIC VEHICLES; ENERGY; ALGORITHM; IMPACTS;

D O I：

10.1109/TIE.2014.2364553

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Commercial building microgrids will play an important role in the smart energy city. Stochastic and uncoordinated electric vehicle (EV) charging activities, which may cause performance degradations and overloads, have put great stress on the distribution system. In order to improve the self-consumption of PV energy and reduce the impact on the power grid, a heuristic operation strategy for commercial building microgrids is proposed. The strategy is composed of three parts: the model of EV feasible charging region, the mechanism of dynamical event triggering, and the algorithm of real-time power allocation for EVs. Furthermore, in order to lower the cost of computation resource, the strategy is designed to operate without forecasting on photovoltaic output or EV charging demand. A comprehensive result obtained from simulation tests has shown that the proposed strategy has both satisfactory results and high efficiency, which can be utilized in embedded systems for real-time allocation of EV charging rate.

引用

页码：2560 / 2570

页数：11

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