LAPSE:2023.26883
Published Article

LAPSE:2023.26883
Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources
April 3, 2023
Abstract
In conventional method protection schemes are devised for certain operation conditions with fixed settings throughout their operation life, however, protection systems in interconnected distribution networks rely on a detailed analysis of fault current contribution and variation in operation conditions under real-world scenarios. In fact, the concept of Adaptive Protection System (APS) and possibility of the adjustment for protection settings within modern Intelligent Electronic Devices (IEDs) have introduced desired functionalities for protection systems to cope with complex operation scenarios envisioned within future power system networks. In this paper, a novel protection system based on Multi-Agent System (MAS) and heuristic decision-making is proposed to update protection settings of the protection IEDs with respect to prevailing operation conditions in an interconnected distribution network. The adopted methodology is reliant on real-time simulation of a distribution network interconnected with Doubly-fed Induction Generator (DFIG) wind farms where different fault scenarios are applied to evaluate the functionality and performance of the proposed Multi-Agent Protection System (MAPS). In addition to that, combination of knowledge sharing between different protection IEDs and logic reasoning are integrated to fulfill protection task under real-world operation scenarios. The significance of the proposed MAPS is the improvement in protection system of the interconnected distribution network.
In conventional method protection schemes are devised for certain operation conditions with fixed settings throughout their operation life, however, protection systems in interconnected distribution networks rely on a detailed analysis of fault current contribution and variation in operation conditions under real-world scenarios. In fact, the concept of Adaptive Protection System (APS) and possibility of the adjustment for protection settings within modern Intelligent Electronic Devices (IEDs) have introduced desired functionalities for protection systems to cope with complex operation scenarios envisioned within future power system networks. In this paper, a novel protection system based on Multi-Agent System (MAS) and heuristic decision-making is proposed to update protection settings of the protection IEDs with respect to prevailing operation conditions in an interconnected distribution network. The adopted methodology is reliant on real-time simulation of a distribution network interconnected with Doubly-fed Induction Generator (DFIG) wind farms where different fault scenarios are applied to evaluate the functionality and performance of the proposed Multi-Agent Protection System (MAPS). In addition to that, combination of knowledge sharing between different protection IEDs and logic reasoning are integrated to fulfill protection task under real-world operation scenarios. The significance of the proposed MAPS is the improvement in protection system of the interconnected distribution network.
Record ID
Keywords
distributed energy resources (DER), heuristic decision making, interconnected distribution network, multi-agent system, power system protection
Subject
Suggested Citation
Peidaee P, Kalam A, Shi J. Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources. (2023). LAPSE:2023.26883
Author Affiliations
Peidaee P: College of Engineering & Science, Victoria University, Melbourne, VIC 3011, Australia [ORCID]
Kalam A: College of Engineering & Science, Victoria University, Melbourne, VIC 3011, Australia [ORCID]
Shi J: College of Engineering & Science, Victoria University, Melbourne, VIC 3011, Australia [ORCID]
Kalam A: College of Engineering & Science, Victoria University, Melbourne, VIC 3011, Australia [ORCID]
Shi J: College of Engineering & Science, Victoria University, Melbourne, VIC 3011, Australia [ORCID]
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5250
Year
2020
Publication Date
2020-10-09
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13205250, Publication Type: Journal Article
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LAPSE:2023.26883
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https://doi.org/10.3390/en13205250
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Apr 3, 2023
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