Research on Reliability Evaluation Methods of Composite Generation and Transmission System

Article Preview

Abstract:

The basic mathematical method for power system reliability evaluation was indicated, the simple and complex system was respectively introduced, several methods of reliability analysis of simple was given in this paper, and the reliability evaluation indexes system and methods of composite generation and transmission system was analyzed, then focused on state enumeration method applied in the reliability assessment of system, the detailed example analysis was given and the adequacy reliability indexes were computed in detail. Finally, the current reliability evaluation and status of composite generation and transmission system was summarized simply and its reliability evaluation algorithm steps applied in current actual engineering projects was given.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

466-477

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Yong-ji GUO. Power system reliability principle and application [M]. Beijing: Tsinghua University Press, (1986).

Google Scholar

[2] Zhi-qi LI, Lin LV, Ran ZHANG. Reliability of distribution network with micro-grid [J]. East China Electric Power (in Chinese), 2012(5): 803-807.

Google Scholar

[3] Yong WANG. Study of power system operational reliability analysis and evaluation [D]. Shandong University (in China), (2012).

Google Scholar

[4] Yang-zan HE, Zeng-yin WEN. Power system analysis [M]. Hubei: Huazhong University of Science and Technology Press, (2002).

Google Scholar

[5] Zhi-qi LI, Lin LV, Ran ZHANG. Reliability of distribution network with micro-grid [J]. East China Electric Power (in Chinese), 2012(5): 803-807.

Google Scholar

[6] Bo-ming ZHANG. Advanced analysis of electric power network [M]. Beijing: Tsinghua University Press, (1996).

Google Scholar

[7] Hao-hao WANG, Lin GUAN, Sheng-min QIU. A method to evaluate reliability of large-scale distribution network based on geographic information system [J]. Power System Technology (in Chinese), 2011(4): 92-97.

Google Scholar

[8] Billinton R, Allan R N. Reliability assessment of large electric power systems. Boston: Kluwer Academic Publishers, (1988).

Google Scholar

[9] Billiton R, Allan R N. Reliability evaluation of power systems. London: Pitman Advanced Publishing program, (1984).

Google Scholar

[10] Yang LIU. Research on large-scale power system parallel processing and web-based computation system for reliability evaluation [D]. Chongqing University (in Chinese), (2006).

Google Scholar

[11] Shi-kui RONG. The solutions of generalized Markov equation [J]. Journal of Guizhou University (Natural Science) (in Chinese), 1998, 15(2): 69-69.

Google Scholar

[12] Xue-lei JIANG. Maintenance optimization for power equipment based on Markov process [D]. Shandong University (in China), (2013).

Google Scholar

[13] Mei-xia ZHONG. A comparative study of the multi-step prediction of time series with different sampling frequencies [D]. Guangdong University of Technology (in China), (2013).

Google Scholar

[14] Hao-ming WANG. Reliability evaluation of distribution system including distributed generations [D]. Tianjin University (in China), (2012).

Google Scholar

[15] Liang X, Goeil. Distribution system reliability evaluation using the Monte Carlo simulation method [J]. Electric power system research, 1997, 40(2): 75-83.

DOI: 10.1016/s0378-7796(96)01104-2

Google Scholar

[16] OuY, Goeil. Using Monte Calro simulation for overall distribution system reliability worth assessment [J]. IEE Proceedings: Generation, transmission and distribution, 1999, 146(5): 535-540.

DOI: 10.1049/ip-gtd:19990542

Google Scholar

[17] Fei HE, Sheng-wei MEI, An-cheng XUE, et al. Distribution and self-organized criticality of power system based on DC power flow[J]. Power System Technology, 2006, 30(14): 7-12.

Google Scholar

[18] Xiang-yu KONG, Da-zhong FANG, You-hua HOU. An incremental transmission loss algorithm based on DC power flow [J]. Power System Technology, 2007, 31(15): 39-43.

Google Scholar

[19] Rui-xin WANG. Power network transmission congestion dispatching based on DS load flow and its error analysis [D]. North China Electric Power University (Beijing), (2009).

Google Scholar

[20] Chang-gang LI, Yu-tian LIU, Heng-xu ZHUANG, et al. Power system frequency response analysis based on the direct current load flow [J]. Proceedings of the CSEE, 2009, 34: 36-41.

Google Scholar

[21] Roy Bilhnton, Peng wang. Teaching distribution systems reliability evaluation using Montecarlo simulation. IEEE Transaction on power System, 1999, 14(2): 397-403.

DOI: 10.1109/59.761856

Google Scholar

[22] L, GOEL. Montecarlo simulation based reliability studies of a distribution test system. Electric Power System Research. 53(2000)55-65.

DOI: 10.1016/s0378-7796(99)00066-8

Google Scholar

[23] Xi-yuan MA, Yao-wen WU, Hua-liang FANG, et al. Allocation of microgrids based on reliability evaluation [J]. Automation of Electric Power Systems (in Chinese), 2011, 35(9): 73-77.

Google Scholar

[24] Hong-bo SUN, Yi-hong QIN. Fuzzy reliability evaluation of composite generation-transmission system [J]. Proceedings of the CSU-EPSA (in Chinese), 1996, 8(1): 28-32.

Google Scholar