Available masters and doctoral projects

An overview of opportunities for students to work with scientists at Reykjavik University on research projects. Please contact the person listed within each project for further information.

Undergraduate level projects are on the Icelandic portion of RU's website: Available undergraduate level projects

  • msc_smart-reconfiguration-fig

Smart Reconfiguration of Electric Power Distribution Networks for Power Loss Minimization and Voltage Profile Optimization

MSc level project, School of Science and Engineering

Abstract

The reconfiguration process changes the network topology by changing the open/close status of the switches to improve the performance without customers' interruptions. This project proposes an intelligent-based autonomous smart reconfiguration technique for power loss minimization and voltage profile optimization.

Description

Power distribution networks receive electric power from transmission grid and deliver it to consumer loads that are changing frequently. The consumption might follow different load profiles that overload network feeders regularly at specific periods. On the other hand, the network feeders could be overloaded with the network expansion with new loading points. These loading changes could increase the feeder losses and reduce the voltage levels dramatically which could be classified as abnormal conditions, especially for sensitive loads, considering reliability level, economical operation and power quality standards. They might also, by time, develop damaging interruptions.

Some optimization techniques have been proposed for improvement of the network performance mainly to reduce the power losses and enhance the voltage profile, including capacitor bank allocation and distributed generation sizing and allocation and reconfiguration techniques. The power distribution networks usually operate in radial configuration with many closed switches and tie switches (normally open points). The reconfiguration process changes the network topology by changing the open/close status of the switches to improve the performance without customers' interruptions. In big scale networks, the reconfiguration optimization is a very complicated process due to many switching combinations. Some methods have been proposed and developed but with some application shortcomings.

The smart grids vision utilize the real time information and communication technology applications with intelligent-based techniques for optimum network reconfiguration. In smart grids, the reconfiguration automation process is expected to be done autonomously in real time within few seconds. The main goal of this project is to propose or develop an intelligent-based autonomous smart reconfiguration technique that is suitable for smart grids real time application for the performance improvement of electric power distribution networks, mainly for power loss minimization and voltage profile optimization. 

 

Methodology and Time plan:

  1. Literature Review (2 months):A review on optimization techniques for the improvement of the network performance, mainly for reducing the power losses and enhancing the voltage profile, including capacitor bank allocation and distributed generation sizing and allocation, reconfiguration and intelligent-based techniques.Chapter 1 (introduction) and chapter 2 (literature review) should be written and submitted.
  2. The Proposed Smart Reconfiguration Technique (3 months):An intelligent-based autonomous smart reconfiguration technique that is suitable for smart grids real time application for the performance improvement of electric power distribution networks, for power loss minimization and voltage profile enhancement will be proposed or developed.Chapter 3 (The Proposed Smart Reconfiguration Technique) should be written and submitted.
  3. Network Simulation and Technique Verification (3 months):A standard test network (e.g. IEEE 14-bus/33-bus distribution system) or realistic distribution network will be simulated using suitable software (e.g. MATLAB or OpenDSS). The proposed technique will be implemented and verified utilizing different simulation results, considering different cases.Chapter 4 (Network Simulation and Technique Verification) should be written and submitted.
  4. Thesis Submission and Presentation (2 months):Conclusions should be written and all thesis sections should be completed.The full thesis should be submitted and presented.

Goal

The main goal of this project is to propose or develop an intelligent-based autonomous smart reconfiguration technique that is suitable for smart grids real time application for the performance improvement of electric power distribution networks, mainly for power loss minimization and voltage profile optimization. The proposed technique should be tested using test network and verified by the results.

Funded?

No

Other

M.Sc. level project, 60 ECTS Master thesis (Electrical/Power/Energy Engineering).The ideal applicant should have background in electrical power engineering, power system analysis and power systems simulation program(s).

A minimum of 1 conference paper is expected to be published from this project.

Contact

Supervisor: Ass. Prof. Mohamed Abdelfattah:  abdelfattah@ru.is