Research on the Optimal Maintenance Cycle of Redundancy Protection Based on Hierarchical Markov Model

doi:10.11930/j.issn.1004-9649.201711285

Abstract

Abstract: In order to solve the problem of numerous states in assessing the reliability of the redundant configured protection system based on Markov method, a hierarchical Markov model is presented. In the process of establishing Markov state space, the states of the protected device and protection system are divided into several layers according to their existing states. And then each layer is further divided into detailed states. Finally, a typical transmission system protection system is used to verify the proposed reliability model, and the optimal maintenance cycle is solved by this model. The results show that excessive maintenance and insufficient maintenance are both unfavorable to the reliability of the protection system. The redundant protection system is better than the single configured protection system in reliability, and has longer optimal maintenance cycle. The main factor that affects the optimal maintenance period of relay protection is the reliability of relay protection and have little relationship with the reliability of the protected equipment. This method can solve the problem of missed states in the process of state division.

Key words: distribution network, reliability, Markov, relay protection system, layered, maintenance cycle

CLC Number:

TM773

CHONG Zhiqiang, CHEN Peiyu, MA Shiqian, YU Guangyao, WANG Xudong, LI Guodong, GUO Yue. Research on the Optimal Maintenance Cycle of Redundancy Protection Based on Hierarchical Markov Model[J]. Electric Power, 2019, 52(3): 73-80.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201711285

https://www.electricpower.com.cn/EN/Y2019/V52/I3/73

References 20

[1]	王良毅, 张继红, 曾治安, 等. 随机失效指标在继电保护状态评价中的研究与应用[J]. 中国电力, 2013, 46(7):87-90 WANG Liangyi, ZHANG Jihong, ZENG Zhi'an, et al. Research and application of random failure index in the status evaluation of relay protection[J]. Electric Power, 2013, 46(7):87-90
[2]	BISWAL M, BISWAL S. A positive-sequence current based directional relaying approach for CCVT subsidence transient condition[J]. Protection and Control of Modern Power Systems, 2017, 2(1):8.
[3]	李慧. 风速分布模型在系统可靠性评估中的应用[J]. 电力系统及其自动化学报, 2014, 26(10):35-40 LI Hui. Application of wind speed model in reliability assessment of wind power generation system[J]. Proceedings of the CSU-EPSA, 2014, 26(10):35-40
[4]	汪隆君, 王钢, 李博. 基于半马尔可夫过程的继电保护可靠性建模[J]. 电力系统自动化, 2012, 34(18):6-10 WANG Longjun, WANG Gang, LI Bo. Reliability modeling of a protection system based on the semi-Markov process[J]. Automation of Electric Power Systems, 2012, 34(18):6-10
[5]	李小燕, 丁明, 齐先军. 考虑天气因素的输电网可靠性区间评估及其仿射算法[J]. 电力系统保护与控制, 2016, 44(16):8-13 LI Xiaoyan, DING Ming, QI Xianjun. Interval reliability evaluation and affine arithmetic of transmission network considering weather factors[J]. Power System Protection and Control, 2016, 44(16):8-13
[6]	彭静, 卢继平, 汪洋, 等. 广域测量系统通信主干网的风险评估[J]. 中国电机工程学报, 2010, 30(4):84-90 PENG Jing, LU Jiping, WANG Yang, et al. Risk assessment of backbone communication network in WAMS[J]. Proceedings of the CSEE, 2010, 30(4):84-90
[7]	侯雨伸, 王秀丽, 张玥. 考虑维度重要性的电力系统可靠性评估拟蒙特卡洛方法[J]. 电力系统自动化, 2016, 40(16):31-37 HOU Yushen, WANG Xiuli, ZHANG Yue. Dimensional importance based Quasi-Monte Carlo method for power system reliability evaluation[J]. Automation of Electric Power Systems, 2016, 40(16):31-37
[8]	章伟, 邓院昌. 基于灰色-马尔可夫链的短期风速及风电功率预测[J]. 中国电力, 2013, 46(2):98-102 ZHANG Wei, DENG Yuanchang. Prediction of short-term wind speed and wind power based on Grey Markov Chain[J]. Electric Power, 2013, 46(2):98-102
[9]	MA Zhanguo, HIDEKAZU Yoshikawa, YANG Ming. Module level reliability performance evaluation of digital reactor protection system considering the repair and common cause failure[J]. Annals of Nuclear Energy, 2017, 110(7):805-817.
[10]	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. Reliability evaluation of power system based on improved sampling method[J]. Electric Power, 2015, 48(5):56-63
[11]	何旭, 姜宪国, 张沛超, 等. 基于SVM的小样本条件下继电保护可靠性参数估计[J]. 电网技术, 2015, 39(5):1432-1437 HE Xu, JIANG Xianguo, ZHANG Peichao, et al. Reliability parameter estimation of relay protection under small sample condition based on SVM[J]. Power System Technology, 2015, 39(5):1432-1437
[12]	董雷, 赵灿, 陈乃仕, 等. 配电系统短期可靠性评估方案[J]. 中国电力, 2016, 49(12):15-20 DONG Lei, ZHAO Chan, CHEN Naishi, et al. Short term reliability evaluation scheme for distribution system[J]. Electric Power, 2016, 49(12):15-20
[13]	邓奥攀, 胡志坚, 胡美玉, 等. 同时计及设备老化与不完全维修的电力系统可靠性评估[J]. 电力系统保护与控制, 2017, 45(3):69-74 DENG Aopan, HU Zhijian, HU Meiyu, et al. Reliability evaluation of power system considering equipment aging and incomplete maintenance[J]. Power System Protection and Control, 2017, 45(3):69-74
[14]	陈桥平, 陈志光, 黄勇, 等. 基于虚拟连接割集的智能变电站继电保护安全隔离策略[J]. 中国电力, 2016, 49(3):88-93 CHEN Qiaoping, CHEN Zhiguang, HUANG Yong, et al. Security isolation strategies based on virtual connections cut set for relay protection in smart substation[J]. Electric Power, 2016, 49(3):88-93
[15]	王玉财, 吕飞鹏, 何奎. 满足可靠性要求的继电保护装置预防检修模型[J]. 电力系统保护与控制, 2016, 44(10):49-53 WANG Yucai, LU Feipeng, HE Kui. Preventive maintenance model for relay protection device based on reliability requirements[J]. Power System Protection and Control, 2016, 44(10):49-53
[16]	丁茂生, 王钢, 贺文. 基于可靠性经济分析的继电保护最优检修间隔时间[J]. 中国电机工程学报, 2007, 27(25):44-48 DING Maosheng, WANG Gang, HE Wen. The optimum routine maintenance interval of protection based on reliability economic analysis[J]. Proceedings of the CSEE, 2007, 27(25):44-48
[17]	郑风雷, 吴杰康, 黄强, 等. 双重化继电保护系统可靠性的五状态空间模型与评估方法[J]. 电力系统自动化, 2016, 40(20):26-31 ZHENG Fenglei, WU Jiekang, HUANG Qiang, et al. Five-state space model and assessment method for reliability of dual-redundant relay protection systems[J]. Automation of Electric Power Systems, 2016, 40(20):26-31
[18]	张雪松, 王超, 程晓东. 基于马尔可夫状态空间法的超高压电网继电保护系统可靠性分析模型[J]. 电网技术, 2008, 32(13):95-99 ZHANG Xuesong, WANG Chao, CHENG Xiaodong. Reliability analysis model for protective relaying system of UHV power network based on Markov state-space method[J]. Power System Technology, 2008, 32(13):95-99
[19]	许威, 吕林, 许立雄, 等. 基于马尔可夫链的电动汽车充电需求计算[J]. 电力系统及其自动化学报, 2017, 29(3):12-19 XU Wei, LU Lin, XU Lixiong, et al. Calculation of charging demand from electric vehicles based on Markov chain[J]. Proceedings of the CSU-EPSA, 2017, 29(3):12-19
[20]	郭永基. 电力系统可靠性分析[M]. 北京:清华大学出版社, 2003.