An effective fault section location method based three-line defense scheme considering distribution systems resilience. (November 2022)

• Record Type: Journal Article
• Authors: Wang, Qiujie; Xiao, Yifeng; Dampage, Udaya; Alkuhayli, Abdulaziz; Alhelou, Hassan Haes; Annuk, Andres; Mohamed, Mohamed A.
• Is Part Of: Energy reports. Volume 8(2022)
• Page Start: 10937
• Page End: 10949
• Publication Date: 2022-11
• Subjects: Distribution networks -- Three-line defense -- Section location -- Resilience enhancement -- Smart meters; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.08.235
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: In this paper, an innovative fault section location method is introduced for enhancing the resilience of distribution systems. After analyzing the flaws in existing section location methods, it has been argued that certain types of distortion in some nodes can lead to misjudgment and overestimation of section location. In order to solve such a problem, this paper proposes a three-line defense scheme. The first line of defense is to build a fault section location model based on data from multiple sources. Multi-source data includes data collected by remote fault indicators (RFIs), as well as data collected by smart meters (SMs), distributed phasor measurement units (DPMUs), and reinforced section data. The second line of defense is to use the result of the last section location as a known quantity to create a dynamic location model that can reduce the rate of node states distortion at that position. The third line of defense is to use fault isolation and power recovery to resolve the site model and then validate the results of the solution. With these three lines of defense, over 95% position accuracy can be achieved under incomplete and incorrect fault data. Simulations on IEEE 33-node and IEEE 123-node systems show the adaptability of the proposed method to improve the resilience of the distribution network.