Decentralized energy management strategy based on predictive controllers for a medium voltage direct current photovoltaic electric vehicle charging station

被引:95
作者
Torreglosa, Juan P. [1 ,3 ]
Garcia-Trivino, Pablo [2 ]
Fernandez-Ramirez, Luis M. [2 ]
Jurado, Francisco [3 ]
机构
[1] Univ Huelva, Dept Elect Engn, Carretera Palos Huelva S-N, Palos De La Frontera 21071, Huelva, Spain
[2] Univ Cadiz, Dept Elect Engn, EPS Algeciras, Res Grp Elect Technol Sustainable & Renewable Ene, Ave Ramon Puyol S-N, Cadiz 11202, Spain
[3] Univ Jaen, EPS Linares, Dept Elect Engn, Res Grp Res & Elect Technol PAIDI TEP 152, C Alfonso X 28, Jaen 23700, Spain
关键词
Charging station; Electric vehicles; Medium voltage direct current; Photovoltaic; Predictive control; POWER-SYSTEM; IMPACT; MODEL; OPTIMIZATION; GENERATION; DEMAND;
D O I
10.1016/j.enconman.2015.10.074
中图分类号
O414.1 [热力学];
学科分类号
摘要
The use of distributed charging stations based on renewable energy sources for electric vehicles has increased in recent years. Combining photovoltaic solar energy and batteries as energy storage system, directly tied into a medium voltage direct current bus, and with the grid support, results to be an interesting option for improving the operation and efficiency of electric vehicle charging stations. In this paper, an electric vehicle charging station supplied by photovoltaic solar panels, batteries and with grid connection is analysed and evaluated. A decentralized energy management system is developed for regulating the energy flow among the photovoltaic system, the battery and the grid in order to achieve the efficient charging of electric vehicles. The medium voltage direct current bus voltage is the key parameter for controlling the system. The battery is controlled by a model predictive controller in order to keep the bus voltage at its reference value. Depending on the state-of-charge of the battery and the bus voltage, the photovoltaic system can work at maximum power point tracking mode or at bus voltage sustaining mode, or even the grid support can be needed. The results demonstrate the proper operation and energy management of the electric vehicle charging station under study. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 29 条
[1]   Integration between electric vehicle charging and micro-cogeneration system [J].
Angrisani, Giovanni ;
Canelli, Michele ;
Roselli, Carlo ;
Sasso, Maurizio .
ENERGY CONVERSION AND MANAGEMENT, 2015, 98 :115-126
[2]  
[Anonymous], 2015, 11 IET INT C AC DC P
[3]  
[Anonymous], 2013, WORLD EN OUTL 2013
[4]  
[Anonymous], 2014, INDEXMUNDI
[5]   DC distribution for industrial systems: Opportunities and challenges [J].
Baran, ME ;
Mahajan, NR .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2003, 39 (06) :1596-1601
[6]   A dynamic optimization-based architecture for polygeneration microgrids with tri-generation, renewables, storage systems and electrical vehicles [J].
Bracco, Stefano ;
Delfino, Federico ;
Pampararo, Fabio ;
Robba, Michela ;
Rossi, Mansueto .
ENERGY CONVERSION AND MANAGEMENT, 2015, 96 :511-520
[7]   The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid [J].
Clement-Nyns, Kristien ;
Haesen, Edwin ;
Driesen, Johan .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (01) :371-380
[8]   Impact of electric vehicle fast charging on power system voltage stability [J].
Dharmakeerthi, C. H. ;
Mithulananthan, N. ;
Saha, T. K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 57 :241-249
[9]   Electric vehicles charging control in a smart grid: A model predictive control approach [J].
Di Giorgio, Alessandro ;
Liberati, Francesco ;
Canale, Silvia .
CONTROL ENGINEERING PRACTICE, 2014, 22 :147-162
[10]   Average-Value Model of Electric Vehicle Chargers [J].
Dubey, Anamika ;
Santoso, Surya ;
Cloud, Matthew P. .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) :1549-1557