Comparison of alternative probabilistic techniques for adequacy assessment of small isolated wind/diesel systems

被引：2

作者：

Bagen B. ^{[1
]}

Gao Y. ^{[2
]}

Li W.Y. ^{[3
]}

机构：

[1] System Planning Department, Manitoba Hydro, Winnipeg

[2] Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon

[3] Electric Power College, Inner Mongolia University of Technology, Huhhot

来源：

International Journal of System Assurance Engineering and Management | 2010年 / 1卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Adequacy assessment; Analytical technique; Monte carlo simulation; Small isolated wind/diesel system; Wind energy;

D O I：

10.1007/s13198-010-0021-x

中图分类号：

学科分类号：

摘要：

This paper compares two alternative probabilistic techniques for the adequacy assessment of small isolated wind/diesel systems. These approaches are the analytical convolution method and the sequential Monte Carlo simulation. The results obtained from these techniques are illustrated by a series of comparative studies. The main purpose of the paper is to investigate the accuracy of the analytical technique assuming that the sequential Monte Carlo simulation method would provide the most precise results. The results show that there is no significant difference between the outcomes of the two techniques. The paper also shows that a multi-state wind energy conversion system model can be used to produce reasonably accurate results in small isolated wind/diesel system adequacy studies. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2010.

引用

页码：129 / 134

页数：5

共 19 条

[1]

Abouzahr I., Ramakumar R., Loss of power supply probability of stand-alone wind electric conversion systems: A closed form solution approach, IEEE Trans Energy Convers, 5, 3, pp. 445-451, (1990)

[2]

Allan R.N., Billinton R., Breipohl A.M., Grigg C.H., Bibliography on the application of probability methods in power system reliability evaluation: 1987-1991, IEEE Trans Power Syst, 9, 4, pp. 275-282, (1994)

[3]

Allan R.N., Billinton R., Breipohl A.M., Grigg C.H., Bibliography on the application of probability methods in power system reliability evaluation: 1992-1996, IEEE Trans Power Syst, 14, 1, pp. 51-57, (1999)

[4]

Allen R., Billinton R., Shahidehpour S.M., Singh C., Bibliography on the application of probability methods in power system reliability evaluation: 1982-1987, IEEE Trans Power Appar Syst, 3, 4, pp. 1555-1564, (1988)

[5]

Bagen B., Billinton R., Incorporating well-being considerations in generating systems using energy storage, IEEE Trans Energy Convers, 20, 1, pp. 225-230, (2005)

[6]

Bagen B., Billinton R., Evaluation of different operating strategies in small stand-alone power systems, IEEE Trans Energy Convers, 20, 3, pp. 654-660, (2005)

[7]

Billinton R., Allan R., Reliability evaluation of power systems, (1996)

[8]

Billinton R., Bagen B., Incorporating reliability index distributions in small isolated generating system reliability performance assessment, IEE Proc Gener, Transm Distrib, 151, 4, pp. 469-476, (2004)

[9]

Billinton R., Gao Y., Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy, IEEE Trans Energy Convers, 23, pp. 163-170, (2008)

[10]

Billinton R., Harrington P.G., Reliability evaluation in energy limited generating capacity studies, IEEE Trans Power Appar Syst, PAS97, pp. 2076-2086, (1978)

← 1 2 →