Optimum design of hybrid renewable energy systems: Overview of different approaches

被引:493
作者
Erdinc, O. [1 ]
Uzunoglu, M. [1 ]
机构
[1] Yildiz Tech Univ, Dept Elect Engn, TR-34349 Istanbul, Turkey
关键词
Hybrid system; Optimization; Renewable energy; Sizing; WIND POWER-GENERATION; ARTIFICIAL IMMUNE-SYSTEM; PARTICLE SWARM OPTIMIZATION; ANT COLONY OPTIMIZATION; FUZZY-LOGIC CONTROL; TECHNOECONOMIC ANALYSIS; PHOTOVOLTAIC SYSTEM; GENETIC ALGORITHMS; RURAL ELECTRIFICATION; FEASIBILITY ANALYSIS;
D O I
10.1016/j.rser.2011.11.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Public awareness of the need to reduce global warming and the significant increase in the prices of conventional energy sources have encouraged many countries to provide new energy policies that promote the renewable energy applications. Such renewable energy sources like wind, solar, hydro based energies, etc. are environment friendly and have potential to be more widely used. Combining these renewable energy sources with back-up units to form a hybrid system can provide a more economic, environment friendly and reliable supply of electricity in all load demand conditions compared to single-use of such systems. One of the most important issues in this type of hybrid system is to optimally size the hybrid system components as sufficient enough to meet all load requirements with possible minimum investment and operating costs. There are many studies about the optimization and sizing of hybrid renewable energy systems since the recent popular utilization of renewable energy sources. In this concept, this paper provides a detailed analysis of such optimum sizing approaches in the literature that can make significant contributions to wider renewable energy penetration by enhancing the system applicability in terms of economy. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1412 / 1425
页数:14
相关论文
共 218 条
[1]   Computer-aided design of PV/wind hybrid system [J].
Ai, B ;
Yang, H ;
Shen, H ;
Liao, X .
RENEWABLE ENERGY, 2003, 28 (10) :1491-1512
[2]   Optimum utilization of renewable energy sources in a remote area [J].
Akella, A. K. ;
Sharma, M. P. ;
Saini, R. P. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2007, 11 (05) :894-908
[3]   Predictive control of an integrated PV-diesel water and power supply system using an artificial neural network [J].
Al-Alawi, Ali ;
Al-Alawi, Saleh M. ;
Islam, Syed M. .
RENEWABLE ENERGY, 2007, 32 (08) :1426-1439
[4]   Microgrids project, Part 2: Design of an electrification kit with high content of renewable energy sources in Senegal [J].
Alzola, J. A. ;
Vechiu, I. ;
Camblong, H. ;
Santos, M. ;
Sall, M. ;
Sow, G. .
RENEWABLE ENERGY, 2009, 34 (10) :2151-2159
[5]   Simulation and size optimization of a pumped-storage power plant for the recovery of wind-farms rejected energy [J].
Anagnostopoulos, J. S. ;
Papantonis, D. E. .
RENEWABLE ENERGY, 2008, 33 (07) :1685-1694
[6]   Pumping station design for a pumped-storage wind-hydro power plant [J].
Anagnostopoulos, John S. ;
Papantonis, Dimitris E. .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (11) :3009-3017
[7]  
Anglani N, 2010, 9 INT C ENV EL ENG E, P1
[8]  
[Anonymous], INT C EN SUST DEV IS
[9]  
[Anonymous], 2010, P INT C EN SUST DEV, DOI DOI 10.1109/ESD.2010.5598791
[10]  
[Anonymous], 2009, P INT C ELECT POWER