Prioritizing the Restoration of Out of Service Transformers in a Transmission System

Author:

Gupta Madhvi1,Gupta Ashwani K.2,Sharma Nikhlesh K.3

Affiliation:

1. Department of Electrical Engineering, IFTM University, Moradabad (244001), Uttar Pradesh, India

2. Institute of Engineering & Technology, MJPRU, Bareilly (243006), Uttar Pradesh, India

3. NMIMS, Shirpur, Distt. Dhule (425405), Maharastra, India

Abstract

Aim: The purpose of the study is to use Fast Voltage Stability Index to find out the weakest line of the system so that the weakest transformer of the system can be find out. Methods: In this paper, a technique is proposed to decide the priority selecting the out of service transformer for repair/replacement. Based on voltage stability, priority is assigned for repairing or replacing the particular transformer. Results: By using this method, a number of out of service transformers in the transmission line can be determined and then replaced or repaired. The technique has been implemented in MATLAB software, which is used to rank all the out of service transformer in the system. This MATLAB program has been developed to conduct load-flow studies including Voltage Stability Index. The FVSI proposed by Musirin et al. has been used in this work to rank the transformers which needs repair/ replacement. Transformer located at weakest line should be repaired first technically. Conclusion: The proposed method in this paper aims to improve the reliability and to manage the congestion of the transmission system by repairing or replacing out of service transformer.

Publisher

Bentham Science Publishers Ltd.

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Computer Science Applications

Reference12 articles.

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3. Ingle V.R.; Ingole V.T.; Evaluation of power transformer state ranking based on grey system theory. 5th International Conference on Advances in Recent Technologies 2013,17-21

4. Abdul Rahman M.R.; Hybrid methodology utilizing Weibull function and Yager’s combination rule for power transformer health ranking. 8th Power Engineering and Optimization Conference (PEOCO) 2014 Mar 24,24-5

5. Arya L.D.; Choube S.C.; Shrivastava M.; Kothari D.P.; Loadability margin enhancement using co-ordinated aggregation based particle swarm optimization (CAPSO). Int J Electr Power Energy Syst 2010,32(9),975-984

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