A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids

被引:181
作者
Khan, Aftab Ahmad [2 ]
Naeem, Muhammad [1 ,2 ]
Iqbal, Muhammad [2 ]
Qaisar, Saad [3 ]
Anpalagan, Alagan [1 ]
机构
[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON, Canada
[2] COMSATS Inst IT, Wah Campus, Wah, Pakistan
[3] SEECS NUST, Islamabad, Pakistan
关键词
Optimization; Algorithms; Microgrid; RENEWABLE ENERGY; DIFFERENTIAL EVOLUTION; DISTRIBUTED GENERATION; ROBUST OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; ELECTRICITY CONSUMPTION; HIERARCHICAL CONTROL; PROGRAMMING APPROACH; DISTRIBUTION-SYSTEM; DEMAND RESPONSE;
D O I
10.1016/j.rser.2015.12.259
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Microgrid equipped with heterogenous energy resources and a bank of energy storage devices presents the idea of small scale distributed energy management (DEM). DEM facilitates the minimization of the transmission and operation costs, peak load and environmental pollution. Microgrid also enables active customer participation by giving them the access to the real time information and control. The capability of fast restoration against physical/cyber attack, integration of renewable energy resources and information and communication technologies (ICT) make microgrid as an ideal candidate for distributed power systems. The energy management system of microgrid can perform real time energy forecasting of renewable resources, energy storage elements and controllable loads in making proper short term scheduling to minimize total operating costs. Cost benefit analysis of microgrid reveals that cooperation among different microgrids can play an important role in the reduction of import energy cost from the utility grid. Cooperation among microgrids in smart microgrid network (SMN) brings the energy sharing and management issues. In this paper we present a review of existing optimization objectives, constraints, solution approaches and tools used in microgrid energy management. This review paper can provide a foundation to embark on an in depth study in the area of energy management for smart microgrid network. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1664 / 1683
页数:20
相关论文
共 183 条
  • [41] [Anonymous], Technical Report
  • [42] [Anonymous], 2012 IEEE IND APPL S
  • [43] Supply-Adequacy-Based Optimal Construction of Microgrids in Smart Distribution Systems
    Arefifar, Seyed Ali
    Mohamed, Yasser Abdel-Rady I.
    El-Fouly, Tarek H. M.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) : 1491 - 1502
  • [44] Hierarchical Decision Making for Aggregated Energy Management of Distributed Resources
    Asimakopoulou, Georgia E.
    Vlachos, Andreas G.
    Hatziargyriou, Nikos D.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (06) : 3255 - 3264
  • [45] Joint energy demand and thermal comfort optimization in photovoltaic-equipped interconnected microgrids
    Baldi, Simone
    Karagevrekis, Athanasios
    Michailidis, Iakovos T.
    Kosmatopoulos, Elias B.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 101 : 352 - 363
  • [46] A Multi Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution-Part II: Optimization Algorithm and Case Studies
    Bao, Zhejing
    Zhou, Qin
    Yang, Zhihui
    Yang, Qiang
    Xu, Lizhong
    Wu, Ting
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (05) : 2267 - 2277
  • [47] Microgrids: Energy management by strategic deployment of DERs-A comprehensive survey
    Basu, Ashoke Kumar
    Chowdhury, S. P.
    Chowdhury, S.
    Paul, S.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (09) : 4348 - 4356
  • [48] Bayindir R, 2015, INT J RENEW ENERGY R, V5, P558
  • [49] Optimization of micro-grid system using MOPSO
    Borhanazad, Hanieh
    Mekhilef, Saad
    Ganapathy, Velappa Gounder
    Modiri-Delshad, Mostafa
    Mirtaheri, Ali
    [J]. RENEWABLE ENERGY, 2014, 71 : 295 - 306
  • [50] A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators
    Bracco, Stefano
    Delfino, Federico
    Pampararo, Fabio
    Robba, Michela
    Rossi, Mansueto
    [J]. ENERGY, 2014, 64 : 912 - 922