Energy Cost Estimation of Small Wind Power Systems-An Integrated Approach

被引:9
作者
Xu, Shuang [1 ]
Shao, Riming [1 ]
Chang, Liuchen [1 ]
Church, Craig [2 ]
机构
[1] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB E3B 5A3, Canada
[2] NB Power Co, Fredericton, NB E3B 4X1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Energy cost estimation; generators; inverters; wind power generation; ELECTRICITY-GENERATION; CONVERSION SYSTEMS; EFFICIENCY; MODEL;
D O I
10.1109/JESTPE.2015.2444398
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Small wind power systems (SWPSs) of 100 kW or below are critical in addressing increasing global energy consumption and pressing greenhouse gas emission issues. Energy cost, i. e., cost of generating 1 kWh or MWh of electricity is an important consideration for design, development, and operation of SWPSs. Various methods for energy cost estimation have been reported, but they typically consider only some aspects of the wind power systems. This paper presents a novel energy cost evaluation methodology for SWPSs, integrating wind turbine energy production, system component efficiency, cost, and reliability together into a single comprehensive model. Monte Carlo simulation is applied to produce random functional intervals or failure intervals, considering the statistical nature of reliability. As compared with previous methods with the segregated and deterministic approaches, the new method comprehensively analyzes the energy costs of SWPSs through an integrated and stochastic approach. The proposed methodology is applied to studies of various SWPS configurations at a typical 30-kW level for both fixed-speed and variable-speed operations. The simulation results present an overview of the investment required for an SWPS over its installed lifetime, reveal cost effectiveness of different configuration options, and provide a benchmark for energy cost evaluation of wind power systems.
引用
收藏
页码:945 / 956
页数:12
相关论文
共 27 条
[1]   Assessment of electricity generation and energy cost of wind energy conversion systems in north-central Nigeria [J].
Adaramola, M. S. ;
Paul, S. S. ;
Oyedepo, S. O. .
ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (12) :3363-3368
[2]  
Ajayi O.O., 2011, Int. J. Energy Sci., V1, P78
[3]   Calculation of Wind Energy Potential and Economic Analysis by Using Weibull Distribution-A Case Study from Turkey. Part 1: Determination of Weibull Parameters [J].
Akdag, S. A. ;
Guler, O. .
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2009, 4 (01) :1-8
[4]   Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey [J].
Akdag, Seyit Ahmet ;
Guler, Onder .
APPLIED ENERGY, 2010, 87 (08) :2574-2580
[5]  
[Anonymous], 2010, 19 INT C EL MACH ICE
[6]  
Arifujjaman M., 2012, 2012 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG), P323, DOI 10.1109/PEDG.2012.6254021
[7]  
Arifujjaman M., 2011, TOREJ OPEN RENEWABLE, V4, P13
[8]   Efficiency Comparison of Power Electronic Converters used in Grid-Connected Permanent-Magnet Wind Energy Conversion System Based on Semiconductors Power Losses [J].
Arifujjaman, Md. ;
Chang, L. .
WIND ENGINEERING, 2011, 35 (04) :445-464
[9]   Reliability analysis of grid connected small wind turbine power electronics [J].
Arifujjaman, Md. ;
Iqbal, M. T. ;
Quaicoe, J. E. .
APPLIED ENERGY, 2009, 86 (09) :1617-1623
[10]  
Arifujjaman Md., 2009, TOREJ OPEN RENEWABLE, V2, P59