Adaptive Protection of Microgrids Using Graph theory and Optimization algorithms

NRC Grant No: 17-065

Research Institute: University of Moratuwa

Area of Research: Electrical Engineering

Status:  Ongoing

Principal Investigator

Dr. K. T. M. Udayanga Hemapala
Department of Electrical Engineering,
University of Moratuwa
Email: udayanga@elect.mrt.ac.lk

Summary

Micro grid is a complex problem when you model it by considering all nonlinear parameters. It has substantial number of differential equations. New mathematical approach will be used and novel mathematical model will be designed to a power electronic based micro grid.  

First of all literature survey will be carried out in order to address the inaccuracies that existing previous works in developing the models  and then Nonlinear differential equation solving methods will be studied and suitable model applied to the micro gird. Whole system is analyzed using advanced software such as PSCAD  , MATLAB and then Test the model with simulation results and changed the mathematical model in order to gain the optimum system.

Once the Microgrid Model is available the adaptive protection system  with capability of generating shortest path from faulted point to nearest operating source will be studied. 

A central protection centre (CPC) is proposed whose function is to monitor the microgrid continuously, identify fault occurrence, identify current topology of the microgrid, locate the exact faulted feeder, identify the shortest path from the faulted point to the nearest operating source and trip the appropriate breakers in the identified shortest path for fault clearance. The Prims aided Dijkstras algorithm is continuously executed in CPC which identifies the current topology of the microgrid and also the shortest path from the fault point to the nearest operating source. This adaptive protection scheme may disconnect minimum portion of load centers during fault clearance unlike existing protection schemes.

Objectives

  1. Development of the mathematical and simulation model for microgrid and do the dynamic response analysis, stability analysis, modeling the parameter uncertainty, effect of the load perturbation.
  2. Develop an adaptive protection system for the developed microgrid, where a central protection center (CPC) monitors the microgrid continuously and whenever fault is detected in the network, the relay settings of the microgrid are altered adaptively based on instructions issues by CPC.
  3. Development of an adaptive protection scheme based on graph theory and optimization algorithms. This will be a generalized solution where it can be applied to any MIcroGrid.

Major Equipment Facilitated by Grant

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