Adaptive Overcurrent Protection for Power Systems with Distributed Generators

Chandraratne, C., Woo, Wai Lok, Logenthiran, T. and Naayagi, R. T. (2019) Adaptive Overcurrent Protection for Power Systems with Distributed Generators. In: 8th International Conference on Power and Energy Systems, 21st - 22nd December 2018, Colombo, Sri Lanka.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/icpesys.2018.8626908

Abstract

The current electrical power distribution networks are normally connected in a radial structure. It is expected to have a high penetration of distributed generators (DG) in the future electrical power distribution systems. The impact of DG on the protection system is one of the major challenges for the operation of modern power systems. Typically, the fault current level of a power system depends on the sources of the grid. However, when the distribution system is connected to DG, the fault current increases. The fault current level changes due to the penetration level of DG. As a result, it changes the setting of protection coordination and causes malfunctioning. Thus, one of the proposed solutions for protection is the use of adaptive overcurrent protection. This paper presents the impact of the distributed generators on power system protection and the use of adaptive overcurrent protection to overcome these challenges. The advantage of this protection is that it adapts real-time changes automatically. The proposed protection solution was applied to the IEEE-9 bus electrical power system where several DGs are connected. Also, an extracting part of a complex microgrid is used as another case study to verify the proposed solution. These studies were carried out on ETAP software and shows the capability of adopting the protection system when there is a high presence of DGs.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Adaptive Overcurrent Protection, Distributed Generation, Load Flow, Self-Healing
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 22 Mar 2019 16:01
Last Modified: 10 Oct 2019 21:15
URI: http://nrl.northumbria.ac.uk/id/eprint/38503

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