基于改进有功潮流介数的继电保护定值在线校核评估方法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (2808 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract It is presented to sequentially check the protection of values based on protection importance in order to make the online check relay protection more effective and reasonable. Firstly, the information entropy is introduced to consider the influence of power flow direction based on active power betweenness, which overcomes the shortcomings of active power betweenness ignoring directional line power flow. Meanwhile the power grid is considered as a directed and weighted network and the actual running state of line is taken into account, making the physical background even more suitable for the condition of the power system. Then, the protection of important degree is different when relay protection device is located in different place of the grid. The improved active power flow betweenness of line and node are integrated to measure the importance of different protections, and the protections are arranged according to the importance order from high to low. On the basis of the descending order of protection importance, all the protection of values can be verified online. Finally, the example of simulation shows that this method is correct and effective.

Key words： relay protection online verification active power flow betweenness information entropy protection importance

Received: 13 May 2019 Published: 19 November 2019

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Jiang Hongliang

Cite this article:

Jiang Hongliang. Online protection setting assessment based on improved active power flow betweenness[J]. Electrical Engineering, 2019, 20(11): 53-56.

URL:

http://dqjs.cesmedia.cn/EN/Y2019/V20/I11/53

[1] 林伟芳, 孙华东, 汤涌, 等. 巴西“11·10”大停电事故分析及启示[J]. 电力系统自动化, 2010, 34(7): 1-5.
[2] 余剑波. 电力系统连锁故障预警模型研究[J]. 电气技术, 2017, 18(10): 88-91.
[3] 顾雪平, 刘雨濛, 王涛, 等. 基于结构平衡理论的电网自组织临界态辨识[J]. 电工技术学报, 2018, 33(17): 4136-4145.
[4] Phadke A G, Wall P, Ding Lei, et al.Improving the performance of power system protection using wide area monitoring systems[J]. Journal of Modern Power Systems and Clean Energy, 2016, 4(3): 319-331.
[5] 曾耿晖, 李银红, 段献忠. 电力系统继电保护定值的在线校核[J]. 继电器, 2002, 30(1): 22-24.
[6] 张海翔, 吕飞鹏, 廖小君. 一种继电保护定值在线校核评估方法[J]. 电力系统自动化, 2013, 37(3): 98-103.
[7] 薛志刚, 张海翔, 吕飞鹏. 一种继电保护定值在线校核优化排序方法[J]. 华北电力大学学报:自然科学版, 2013, 40(5): 24-30.
[8] 慕宗江, 徐岩, 仇向东, 等. 基于潮流熵的继电保护定值在线校核评估方法[J]. 电力自动化设备, 2014, 34(2): 170-174.
[9] 贾燕冰, 何海丹, 刘睿琼. 考虑支路重要度的继电保护在线校核顺序研究[J]. 电网技术, 2016, 40(1): 303-308.
[10] 祝高乐, 刘青. 含STATCOM的线路继电保护在线校核顺序研究[J]. 电力系统保护与控制, 2015, 43(11): 7-12.
[11] 张涛, 孙晓伟, 徐雪琴, 等. 基于有功潮流介数的电网关键线路辨识[J]. 电网技术, 2016, 40(1): 193-198.
[12] 周凯, 谢敏, 赵世林, 等. 基于改进FastICA 的局部放电在线监测窄带干扰高保真性抑制方法[J]. 电工技术学报, 2018, 33(11): 2604-2612.
[13] 于海平, 李玉进. 一种多层级保电管理应用平台[J]. 电气技术, 2017, 18(1): 127-128.
[14] 刘伟龙, 王丽芳, 王立业. 基于电动汽车工况识别预测的锂离子电池SOE估计[J]. 电工技术学报, 2018, 33(1): 17-25.
[15] 徐林, 王秀丽, 王锡凡. 电气介数及其在电力系统关键线路识别中的应用[J]. 中国电机工程学报, 2010, 30(1): 33-39.
[16] 王凯. 基于复杂网络理论的电网结构复杂性和脆弱性研究[D]. 武汉: 华中科技大学, 2011.