Developing optimal power flow and DER control schemes for lowering system losses

There is a growing demand for sustainable energy and concerns for reliability and quality of power supply due to aging infrastructure of electricity transmission and distribution network. The introduction of microgrid (MG) can be used to mitigate the issues. It is a small scale and localized electri...

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Main Author: Ng, Keng Boon
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/67608
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-676082023-07-07T16:33:06Z Developing optimal power flow and DER control schemes for lowering system losses Ng, Keng Boon Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering There is a growing demand for sustainable energy and concerns for reliability and quality of power supply due to aging infrastructure of electricity transmission and distribution network. The introduction of microgrid (MG) can be used to mitigate the issues. It is a small scale and localized electricity supply system and is the most popular form of distributed generation. It has high flexibility and is able to run in both grid connected and autonomous operation. The integration of Distributed Energy Resources (DERs) made it possible to supply the load without the main grid. However, the integration of DERs poses a conundrum for the Energy Management System (EMS). The traditional energy management system had to be re-evaluated. One such area is the Optimal Power Flow (OPF). The objectives of this report are to propose a power loss reduction plan for the MG, conduct a research on OPF and study the effectiveness of the algorithm. In this report, Particle Swarm Optimization (PSO) is tested using IEEE-30 and IEEE-118 bus network. The objective functions considered in this simulation are minimizing system losses and maintaining bus voltage at nominal value. The report also studies the advantageous and disadvantageous of conventional and heuristic optimization approach. The existing OPF solver based on Quadratic Programming (QP) in Clean Energy Research Lab (CERL) is compared with the PSO and is tested with the microgrid system in Clean Energy Research Laboratory. The decision variables that are used in the microgrid system are the capacitor banks and tap changers. The effectiveness of the algorithm and the decision variables that are used to reduce the system losses is being analyzed. Bachelor of Engineering 2016-05-18T07:13:10Z 2016-05-18T07:13:10Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67608 en Nanyang Technological University 88 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Ng, Keng Boon
Developing optimal power flow and DER control schemes for lowering system losses
description There is a growing demand for sustainable energy and concerns for reliability and quality of power supply due to aging infrastructure of electricity transmission and distribution network. The introduction of microgrid (MG) can be used to mitigate the issues. It is a small scale and localized electricity supply system and is the most popular form of distributed generation. It has high flexibility and is able to run in both grid connected and autonomous operation. The integration of Distributed Energy Resources (DERs) made it possible to supply the load without the main grid. However, the integration of DERs poses a conundrum for the Energy Management System (EMS). The traditional energy management system had to be re-evaluated. One such area is the Optimal Power Flow (OPF). The objectives of this report are to propose a power loss reduction plan for the MG, conduct a research on OPF and study the effectiveness of the algorithm. In this report, Particle Swarm Optimization (PSO) is tested using IEEE-30 and IEEE-118 bus network. The objective functions considered in this simulation are minimizing system losses and maintaining bus voltage at nominal value. The report also studies the advantageous and disadvantageous of conventional and heuristic optimization approach. The existing OPF solver based on Quadratic Programming (QP) in Clean Energy Research Lab (CERL) is compared with the PSO and is tested with the microgrid system in Clean Energy Research Laboratory. The decision variables that are used in the microgrid system are the capacitor banks and tap changers. The effectiveness of the algorithm and the decision variables that are used to reduce the system losses is being analyzed.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Ng, Keng Boon
format Final Year Project
author Ng, Keng Boon
author_sort Ng, Keng Boon
title Developing optimal power flow and DER control schemes for lowering system losses
title_short Developing optimal power flow and DER control schemes for lowering system losses
title_full Developing optimal power flow and DER control schemes for lowering system losses
title_fullStr Developing optimal power flow and DER control schemes for lowering system losses
title_full_unstemmed Developing optimal power flow and DER control schemes for lowering system losses
title_sort developing optimal power flow and der control schemes for lowering system losses
publishDate 2016
url http://hdl.handle.net/10356/67608
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