Performance assessment of swarm-assisted mean error estimation-based fault detection technique for transmission line protection. (October 2018)

• Record Type: Journal Article
• Authors: Prasad, Ch.D.; Nayak, Paresh Kumar
• Is Part Of: Computers & electrical engineering. Volume 71(2018)
• Page Start: 115
• Page End: 128
• Publication Date: 2018-10
• Subjects: Fault detection -- Mean error estimation -- Optimal threshold setting -- Particle swarm optimization -- Transmission line protection; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2018.07.030
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: In this paper, a fast and computationally efficient fault detection algorithm is proposed for power transmission network protection using mean error estimation technique. In order to avoid false detection, instead of adopting the traditional trial and error-based approach, particle swarm optimization-assisted optimal threshold setting method is introduced in this paper. Performance of the proposed fault detection technique is tested for numerous fault and non-fault events generated on a two-bus test power system through MATLAB/SIMULINK software. The observations on results clearly show that using the proposed method even critical faults can be detected securely within a quarter cycle of the 50 Hz power system. The comparative assessment with two existing methods confirms the effectiveness of the proposed scheme.