Abstract

The article describes a novel approach to a power restoration in medium voltage power distribution network. It focuses primary at searching of a new network configuration enabling to minimalize the size of faulted area and to restore the power for the highest possible number of loads. It describes characteristic features of medium voltage power distribution network and discusses the implementation of the presented approach in existing networks. A software tool, developed by the authors, including physical simulation of model network and its autonomous control system is described. An example of fault situation in a virtual distribution network is presented. Afterwards, the solution of restoration problem by proposed multiagent system is simulated using the software tool described in the paper.

Highlights

  • Main advantages of autonomous control are incomparable higher processing of measured values and fault alarms, ability to perform calculations and to use rules in order to solve the most typical fault situations

  • To obtain the new configuration, various approaches have been proposed, which can be roughly classified into four categories: heuristic methods [2], expert systems [3], mathematical programming [4] and soft computing [5]

  • In order to evaluate the performance of multiagent system (MAS), a model of typical medium voltage distribution network, was created (Fig. 2)

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Summary

Introduction

The control of electrical distribution network includes mainly switching elements manipulation, voltage regulation, fault locating and restoration, and taking care of components lifespan and reliability. These jobs can be overall called as supplying required amount of electricity to customers having required parameters. An autonomous control system is one of the options to make control of power distribution networks more effective. It keeps all the knowledge gathered during systems operation and uses it in various situations. It has to be able to solve some typical fault situations without

Theoretical Approach
Agent and Multiagent System
Practical Implementation
Multiagent System for Power Restoration
Restoration Process
MAS control system
Physical simulation
Graphical user interface
Evaluation of MAS performance
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