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.

Highlights

  • The interconnection of distributed energy resources (DERs) such as Doubly-fed Induction Generator (DFIG) wind turbines, photovoltaic (PV) panels, diesel generators (DG) and battery storages (BS) into distribution networks is considered a promising solution for supplying cheaper and cleaner electric power to customers.the complexities introduced into the protection systems and functioning of protective relays within interconnected distribution networks impose technical challenges to the reliability and efficiency of the distribution system operation

  • Given the complexities for fault current behaviour in interconnected distribution networks, development of a reliable and efficient protection system is dependent on many factors such as athe vailability of renewable energy resources, the number of DER connected into the grid and the types of the DER with the control strategies embedded by the original equipment manufacturer (OEM)

  • The significance for the proposed methodology is concerned with distributed decision-making based on knowledge representation of the system protection using domain-specific ontology which is consistent to human mind logic

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Summary

Introduction

The interconnection of distributed energy resources (DERs) such as DFIG wind turbines, photovoltaic (PV) panels, diesel generators (DG) and battery storages (BS) into distribution networks is considered a promising solution for supplying cheaper and cleaner electric power to customers. Utilizing modern ICT and protection IEDs Oudalov et al adopted a “connect and forget” approach in which a centralized architecture for the protection system is devised to automatically adjust the protection settings for TOC curves protection functions depending on the grid-connected or islanded mode operation conditions. Bahadornejad et al [16] proposed a decentralized approach based on estimation of the Thevenin equivalent network upstream and downstream of the DERs’ location where a fault current calculation method is used to adjust the protection settings for the CBs upstream and downstream of DERs. In conclusion, adaptive protection systems are flexible and capable to be utilized for complicated protection systems within interconnected distribution networks; given the tightly coupled interactions between protection IEDs the application of APS is developed for specific distribution networks and in large scale interconnected distribution networks the complexities increase. MAPS in dealing with system protection challenges arising due to the connection of DERs

Problem Statement
System Description
Operation Scenarios
Proposed
Multi-Agent
Protection Agents
Heuristic
State Transitions
Knowledge Database Representation and Reasoning
10. Knowledge database developedin in PROLOG
System Development
11. Flowchart
Testbed Platform
Simulation Results
MAPS Performance
16. Sympathetic tripping of CBDFIG for fault
17. Selectivity
Agent Messageing and Knowledge Sharing
Conclusions
Full Text
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