DocumentCode :
8346
Title :
A Heuristic Operation Strategy for Commercial Building Microgrids Containing EVs and PV System
Author :
Nian Liu ; Qifang Chen ; Jie Liu ; Xinyi Lu ; Peng Li ; Jinyong Lei ; Jianhua Zhang
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Volume :
62
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
2560
Lastpage :
2570
Abstract :
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.
Keywords :
battery powered vehicles; distributed power generation; distribution networks; load dispatching; photovoltaic power systems; commercial building microgrid; distribution system; dynamical event triggering; electric vehicle charging; feasible charging region; heuristic operation strategy; photovoltaic power system; power grid; real-time power allocation; smart energy city; Buildings; Heuristic algorithms; Optimization; Power grids; Real-time systems; Resource management; System-on-chip; Commercial building; electric vehicles; electric vehicles (EVs); heuristic strategy; micro-grid; microgrid; optimization methods; power allocation;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2014.2364553
Filename :
6933935
Link To Document :
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