Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review

被引:427
作者
Gu, Wei [1 ]
Wu, Zhi [2 ]
Bo, Rui [3 ]
Liu, Wei [1 ]
Zhou, Gan [1 ]
Chen, Wu [1 ]
Wu, Zaijun [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing, Jiangsu, Peoples R China
[2] Univ Birmingham, Sch Elect Elect & Comp Engn, Birmingham, W Midlands, England
[3] Midwest Independent Transmiss Syst Operator Midwe, St Paul, MN USA
基金
国家高技术研究发展计划(863计划); 美国国家科学基金会;
关键词
CCHP; Solid oxide fuel cell; Microgrid; Modeling; Planning; Energy Management; PARTICLE SWARM OPTIMIZATION; GREENHOUSE-GAS EMISSIONS; ECONOMIC-DISPATCH; CCHP SYSTEM; FUEL-CELL; TRIGENERATION SYSTEMS; RESIDENTIAL BUILDINGS; WIND POWER; COGENERATION; PERFORMANCE;
D O I
10.1016/j.ijepes.2013.06.028
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
A combined cooling, heating and power (CCHP) microgrid with distributed cogeneration units and renewable energy sources provides an effective solution to energy-related problems, including increasing energy demand, higher energy costs, energy supply security, and environmental concerns. This paper presents an overall review of the modeling, planning and energy management of the CCHP microgrid. The performance of a CCHP microgrid from the technical, economical and environmental viewpoints are closely dependent on the microgrid's design and energy management. Accurate modeling is the first and most important step for planning and energy management of the CCHP microgrid, so this paper first presents an review of modeling of the CCHP microgrid. With regard to planning of the CCHP microgrid, several widely accepted evaluation methods and indicators for cogeneration systems are given. Research efforts on the planning methods of the CCHP microgrid are then introduced. Finally, the energy management of the CCHP microgrid is briefly reviewed in terms of cogeneration decoupling, control strategies, emission reduction and problem solving methods. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:26 / 37
页数:12
相关论文
共 129 条
[1]
Modeling of lead acid batteries in PV systems [J].
Achaibou, N. ;
Haddadi, M. ;
Malek, A. .
TERRAGREEN 2012: CLEAN ENERGY SOLUTIONS FOR SUSTAINABLE ENVIRONMENT (CESSE), 2012, 18 :538-544
[2]
Exergy analysis of an integrated solid oxide fuel cell and organic Rankine cycle for cooling, heating and power production [J].
Al-Sulaiman, Fahad A. ;
Dincer, Ibrahim ;
Hamdullahpur, Feridun .
JOURNAL OF POWER SOURCES, 2010, 195 (08) :2346-2354
[3]
Predicting average energy conversion of photovoltaic system in Malaysia using a simplified method [J].
Alamsyah, TMI ;
Sopian, K ;
Shahrir, A .
RENEWABLE ENERGY, 2004, 29 (03) :403-411
[4]
Integration of renewable energy sources in smart grids by means of evolutionary optimization algorithms [J].
Alonso, Monica ;
Amaris, Hortensia ;
Alvarez-Ortega, Carlos .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (05) :5513-5522
[5]
Wind farm power prediction based on wavelet decomposition and chaotic time series [J].
An, Xueli ;
Jiang, Dongxiang ;
Liu, Chao ;
Zhao, Minghao .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (09) :11280-11285
[6]
Distributed microtrigeneration systems [J].
Angrisani, G. ;
Roselli, C. ;
Sasso, M. .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2012, 38 (04) :502-521
[7]
Experimental results of a micro-trigeneration installation [J].
Angrisani, G. ;
Rosato, A. ;
Roselli, C. ;
Sasso, M. ;
Sibilio, S. .
APPLIED THERMAL ENGINEERING, 2012, 38 :78-90
[8]
[Anonymous], THESIS VIRGINIA POLY
[9]
Online short-term solar power forecasting [J].
Bacher, Peder ;
Madsen, Henrik ;
Nielsen, Henrik Aalborg .
SOLAR ENERGY, 2009, 83 (10) :1772-1783
[10]
Impact of Various Characteristics of Electricity and Heat Demand on the Optimal Configuration of a Microgrid [J].
Bando, Shigeru ;
Watanabe, Hiroki ;
Asano, Hiroshi ;
Tsujita, Shinsuke .
ELECTRICAL ENGINEERING IN JAPAN, 2009, 169 (02) :6-13