Optimal economic and environment operation of micro-grid power systems

被引：102
作者：
Elsied, Moataz [1 ]
Oukaour, Amrane [1 ]
Gualous, Hamid [1 ]
Lo Brutto, Ottavio A. [1 ]
机构：
[1] Univ Caen Basse Normandie, LUSAC Lab, Caen, France
来源：
ENERGY CONVERSION AND MANAGEMENT | 2016年 / 122卷
关键词：
Distributed Energy Resources (DERs); Micro-grid (MG); Energy Management System (EMS); Binary Particle Swarm Optimization (BPSO); PARTICLE SWARM OPTIMIZATION; ENERGY MANAGEMENT-SYSTEM; GENERATION; MODEL; RESOURCES; ALGORITHM;
D O I：
10.1016/j.enconman.2016.05.074
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this paper, an advanced real-time energy management system is proposed in order to optimize micro grid performance in a real-time, operation. The proposed strategy of the management system capitalizes on the power of binary particle swarm optimization algorithm to minimize the energy cost and carbon dioxide and pollutant emissions while maximizing the power of the available renewable energy resources. Advanced real-time interface libraries are used to run the optimization code. The simulation results are considered for three different scenarios considering the complexity of the proposed problem. The proposed management system along with its control system is experimentally tested to validate the simulation results obtained from the optimization algorithm. The experimental results highlight the effectiveness of the proposed management system for micro-grids operation. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：182 / 194
页数：13
相关论文
共 32 条
[1]   Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management [J].
Aghajani, G. R. ;
Shayanfar, H. A. ;
Shayeghi, H. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :308-321
[2]   Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method [J].
Alavi, Seyed Arash ;
Ahmadian, Ali ;
Aliakbar-Golkar, Masoud .
ENERGY CONVERSION AND MANAGEMENT, 2015, 95 :314-325
[3]  
ALDI, 2021, EL PRIC TYP US
[4]  
[Anonymous], 2012, DSPACE US GUID REF G
[5]   Four-phase interleaved DC/DC boost converter interfaces for super-capacitors in electric vehicle application based onadvanced sliding mode control design [J].
Ayoubi, Y. ;
Elsied, M. ;
Oukaour, A. ;
Chaoui, H. ;
Slamani, Y. ;
Gualous, H. .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 134 :186-196
[6]   Optimal output power of not properly designed wind farms, considering wake effects [J].
Behnood, A. ;
Gharavi, H. ;
Vahidi, B. ;
Riahy, G. H. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 63 :44-50
[7]   A study on the energy management in domestic micro-grids based on Model Predictive Control strategies [J].
Bruni, G. ;
Cordiner, S. ;
Mulone, V. ;
Rocco, V. ;
Spagnolo, F. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 102 :50-58
[8]   An extension theory-based maximum power tracker using a particle swarm optimization algorithm [J].
Chao, Kuei-Hsiang .
ENERGY CONVERSION AND MANAGEMENT, 2014, 86 :435-442
[9]   A local energy management of a hybrid PV-storage based distributed generation for microgrids [J].
Choudar, Adel ;
Boukhetala, Djamel ;
Barkat, Said ;
Brucker, Jean-Michel .
ENERGY CONVERSION AND MANAGEMENT, 2015, 90 :21-33
[10]  
Christian Breyer, 2016, PV LCOE EUROPE 2014
1234