Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid

被引:10
作者
Dhifli, Mehdi [1 ]
Lashab, Abderezak [2 ]
Guerrero, Josep M. [2 ]
Abusorrah, Abdullah [3 ]
Al-Turki, Yusuf A. [3 ]
Cherif, Adnane [1 ]
机构
[1] Univ Tunis El Manar, Res Unite Proc & Anal Elect & Energet Syst, Tunis 2092, Tunisia
[2] Aalborg Univ, Dept Energy Technol, Ctr Res Microgrids CROM, DK-9220 Aalborg, Denmark
[3] King Abdulaziz Univ, KA CARE Energy Res & Innovat Ctr, Ctr Res Excellence Renewable Energy & Power Syst, Dept Elect & Comp Engn,Fac Engn, Jeddah 21589, Saudi Arabia
关键词
enhanced energy management system; renewable energy; microgrid; Li-ion battery; super-capacitor; photovoltaic; PV; STORAGE; BATTERY; TIME; GENERATION; STRATEGIES; EFFICIENCY; BENEFITS; DESIGN;
D O I
10.3390/en13123268
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays' production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system's life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.
引用
收藏
页数:17
相关论文
共 38 条
[1]   Energy management and fault tolerant control strategies for fuel cell/ultra-capacitor hybrid electric vehicles to enhance autonomy, efficiency and life time of the fuel cell system [J].
Aouzellag, Haroune ;
Ghedamsi, Kaci ;
Aouzellag, Djamel .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2015, 40 (22) :7204-7213
[2]   Residential micro-grid load management through artificial neural networks [J].
Barelli, L. ;
Bidini, G. ;
Bonucci, F. ;
Ottaviano, A. .
JOURNAL OF ENERGY STORAGE, 2018, 17 :287-298
[3]   Safe sizing methodology applied to a standalone photovoltaic system [J].
Bouabdallah, A. ;
Olivier, J. C. ;
Bourguet, S. ;
Machmoum, M. ;
Schaeffer, E. .
RENEWABLE ENERGY, 2015, 80 :266-274
[4]  
Bouabdallah A., 2013, P 2013 INT C REN EN
[5]   Real time simulation of MPPT algorithms for PV energy system [J].
Bounechba, Hadjer ;
Bouzid, Aissa ;
Snani, Hamza ;
Lashab, Abderrazak .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 83 :67-78
[6]  
Bugar M., POSTERUS
[7]   Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids [J].
Che, Liang ;
Shahidehpour, Mohammad ;
Alabdulwahab, Ahmed ;
Al-Turki, Yusuf .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (06) :3042-3051
[8]  
Dagdougui H., 2016, CONCEPT COOPERATING
[9]   Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications [J].
Dai, Haifeng ;
Wei, Xuezhe ;
Sun, Zechang ;
Wang, Jiayuan ;
Gu, Weijun .
APPLIED ENERGY, 2012, 95 :227-237
[10]   Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models [J].
Han, Xiaojuan ;
Zhang, Hua ;
Yu, Xiaoling ;
Wang, Lina .
APPLIED ENERGY, 2016, 184 :103-118