A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications

被引:582
作者
Nehrir, M. H. [1 ]
Wang, C. [2 ]
Strunz, K. [3 ]
Aki, H. [4 ]
Ramakumar, R. [5 ]
Bing, J. [6 ]
Miao, Z. [7 ]
Salameh, Z. [8 ]
机构
[1] Montana State Univ, Bozeman, MT 59717 USA
[2] Wayne State Univ, Detroit, MI 48202 USA
[3] Tech Univ Berlin, D-10587 Berlin, Germany
[4] AIST, Tsukuba, Ibaraki 3058569, Japan
[5] Oklahoma State Univ, Stillwater, OK 74078 USA
[6] NEO Virtus Engn Inc, Littleton, MA 01460 USA
[7] Univ S Florida, Tampa, FL 33620 USA
[8] Univ Massachusetts, Lowell, MA 01854 USA
关键词
Energy management; energy storage; generation unit sizing; hybrid energy systems; renewable power generation; FUEL-CELL; STORAGE-SYSTEMS; MULTIAGENT SYSTEM; COST-ANALYSIS; SOLAR-ENERGY; WIND; BATTERY; MANAGEMENT; HYDROGEN; STATE;
D O I
10.1109/TSTE.2011.2157540
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper, prepared by a special task force of the IEEE PES Renewable Technologies Subcommittee, is a review of hybrid renewable/alternative energy (RE/AE) power generation systems focusing on energy sustainability. It highlights some important issues and challenges in the design and energy management of hybrid RE/AE systems. System configurations, generation unit sizing, storage needs, and energy management and control are addressed. Statistics on the current status and future trend of renewable power generation, as well as some critical challenges facing the widespread deployment of RE/AE power generation technologies and vision for future research in this area are also presented. The comprehensive list of references given at the end of the paper should be helpful to researchers working in this area.
引用
收藏
页码:392 / 403
页数:12
相关论文
共 106 条
  • [1] A Knowledge-Based Approach for Control of Two-Level Energy Storage for Wind Energy Systems
    Abbey, Chad
    Strunz, Kai
    Joos, Geza
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2009, 24 (02) : 539 - 547
  • [2] Environmental/economic power dispatch using multiobjective evolutionary algorithms
    Abido, MA
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) : 1529 - 1537
  • [3] Performance of a stand-alone renewable energy system based on energy storage as hydrogen
    Agbossou, K
    Kolhe, M
    Hamelin, J
    Bose, TK
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (03) : 633 - 640
  • [4] Renewable energy systems based on hydrogen for remote applications
    Agbossou, K
    Chahine, R
    Hamelin, J
    Laurencelle, F
    Anouar, A
    St-Arnaud, JM
    Bose, TK
    [J]. JOURNAL OF POWER SOURCES, 2001, 96 (01) : 168 - 172
  • [5] Aki H., 2008, OPERATION RESULT DEM
  • [6] Fuel cells and energy networks of electricity, heat, and hydrogen in residential areas
    Aki, Hirohisa
    Yamamoto, Shigeo
    Kondoh, Junji
    Maeda, Tetsuhiko
    Yamaguchi, Hiroshi
    Murata, Akinobu
    Ishii, Itaru
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2006, 31 (08) : 967 - 980
  • [7] A Survey of Particle Swarm Optimization Applications in Electric Power Systems
    AlRashidi, M. R.
    El-Hawary, M. E.
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (04) : 913 - 918
  • [8] Annual Energy Outlook 2010 Energy Information Administration the U.S. Department of Energy, 2010, DOEEIA0383
  • [9] [Anonymous], IEC 61850 SERIES
  • [10] [Anonymous], 2008, DOEGO1020082567