Short-term Reliability Assessment Scheme for Distribution System

doi:10.11930/j.issn.1004-9649.2016.12.015.06

Abstract

Abstract: The majority of the existing reliability assessments of distribution system are for long-term average reliability. The reliability assessment for short-term or online operation is rare. Considering the characteristics and short-term conditions of elements in distribution system, this paper proposes a short-term reliability assessment scheme for distribution system, which adds the load loss conditions to define short-term reliability indices of distribution system, and uses the improved conditions dependent element model to obtain short-term outage rates, and the forward failure diffusion algorithm to evaluate and analyze the short-term reliability of the distribution system. Through simulation analysis, the feasibility of the short-term reliability indices and the effectiveness of short-term reliability model are confirmed, which may provide a theoretical basis and dispatching guidance for short-term operations of distribution systems.

Key words: distribution system, short-term reliability, load loss probability, improved conditions dependent model, forward failure diffusion

CLC Number:

TM712

DONG Lei, ZHAO Can, CHEN Naishi, PU Tianjiao, PANG Xiaojin. Short-term Reliability Assessment Scheme for Distribution System[J]. Electric Power, 2016, 49(12): 15-20.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.12.015.06

https://www.electricpower.com.cn/EN/Y2016/V49/I12/15

References

[1] 张巍峰，车延博，林济铿，等．基于改进抽样法的电力系统可靠性评估[J]. 中国电力，２０１５，４８（５）：５６－６３．
ZHANG Weifeng, CHE Yanbo, LIN Jikeng, et al． Power system reliability evaluation based on improved sampling method[J].Electric Power, 2015, 48(5): 56-63.
[2] 郭永基. 电力系统可靠性分析[M]. 清华大学出版社，2003.
GUO Yongji. Power system reliability analysis[M]. Tsinghua University Press, 2003.
[3] 宿晓岚，赵渊，钟家华，等．大电网可靠性评估的随机响应面法[J]. 中国电力，２０１４，４７（８）：１－７．
SU Xiaolan, ZHAO Yuan, ZHONG Jiahua, et al． Reliability evaluation for bulk power systems by using stochastic response surface method [J]. Electric Power, 2014, 47(8): 1-7.
[4] 孙元章，周家启. 大型互联电网在线运行可靠性的基础理论[M]. 清华大学出版社，2010.
[5] MCCALLEY J D, VITTAL V, ABISAMRA N. An overview of risk based security assessment[C]//Power Engineering Society Summer Meeting, IEEE, 1999: 173-178.
[6] 孙元章，程林，何剑. 电力系统运行可靠性理论[M]. 清华大学出版社，2012.
[7] LI Wenyuan, ZHOU Jiaqi, XIE Kaigui, et al. Power system risk assessment using a hybrid method of fuzzy set and monte carlo simulation[J]. IEEE Trans on Power Systems, 2008, 23(2): 336-343.
[8] LEITE d S A M, ENDRENYI J, WANG L. Integrated treatment of adequacy and security in bulk power system reliability evaluations[J]. IEEE Trans on Power Systems, 1993, 8: 1(1): 275-285.
[9] 何剑，程林，孙元章，等. 条件相依的输变电设备短期可靠性模型[J]. 中国电机工程学报，２００９，２９（７）：３９－４６．
HE Jian, CHENG Lin, SUN Yuanzhang, et al. Condition dependent short-term reliability models of transmission equipment [J]. Proceedings of the CSEE, 2009, 29(7): 39-46.
[10] 孟繁华. 电网运行可靠性分析及评估软件设计[D]. 太原理工大学，2013.
[11] RETTERATH B, VENKATA S S, CHOWDHURY A A. Impact of time-varying failure rates on distribution reliability[C]//Probabilistic Methods Applied to Power Systems, 2004 International Conference on IEEE, 2004: 953-958.
[12] WANG Peng, BILLINTON R. Reliability cost/worth assessment of distribution systems incorporating time-varying weather conditions and restoration resources[J]. IEEE Trans on Power Delivery, 2001, 17(11): 260-265.
[13] 张承周. 20 kV配电网合环运行可靠性分析和优化策略研究[D]. 华南理工大学，2013.
[14] 甘国晓，王主丁，周昱甬，等. 基于可靠性及经济性的中压配电网闭环运行方式[J]. 电力系统自动化，２０１５，３９（１６）：１４４－１５０．
GAN Guoxiao, WANG Zhuding, ZHOU Yuyong, et al. Reliability and economy based closed-loop operation modes medium voltage distribution networks[J]. Automation of Electric Power Systems, 2015, 39(16): 144-150.
[15] NAJDENKOSKI K, RAFAJLOVSKI G, DIMCEV V. Thermal aging of distribution transformers according to IEEE and IEC standards[C]//Power Engineering Society General Meeting, IEEE, 2007: 1-5.
[16] ALLAN R N, BILLINTON R, SJARIEF I, et al. A reliability test system for educational purposes-basic distribution system data and results[J]. IEEE Trans on Power Systems, 1991, 6(2): 813-820.
[17] MUDHOLKAR G S, SRIVASTAVA D K. Exponentiated Weibull family for analyzing bathtub failure-rate data[J]. IEEE Trans on Reliability, 1993, 42(2): 299-302.
[18] BILLINTON R, WU C. Predictive reliability assessment of distribution systems including extreme adverse weather[C]//Electrical and Computer Engineering, 2001. Canadian Conference on IEEE, 2001, 2: 719-724.
[19] BILLINTON R, SINGH G. Application of adverse and extreme adverse weather: Modeling in transmission and distribution system reliability evaluation[J]. IET Proceedings-Generation Transmission and Distribution, 2006, 153(1): 115-120.
[20] 赵华. 考虑容量及电压约束的配电网可靠性评估前推故障扩散法研究[D]. 重庆大学，２０１４．
[21] IEEE guide for loading mineral-oil-immersed overhead and pad- mounted distribution transformers rated 500 kVA and less with 65 ℃ or 55 ℃ average winding rise: ANSI/IEEE Std C57.91-1981[S]. 1981.
[22] NAJDENKOSKI K, RAFAJLOVSKI G, DIMCEV V. Thermal aging of distribution transformers according to IEEE and IEC Standards[C]//Power Engineering Society General Meeting, 2007. IEEE. IEEE, 2007:1-5.
[23] ADOMAH K, MIZUNO Y, NAITO K. Probabilistic assessment of the reduction in tensile strength of an overhead transmission line’s conductor with reference to climatic data[J]. IEEE Trans on Power Delivery, 2000, 15(4): 1221-1224.