An improved state estimation algorithm and its implementation for distribution networks

Single-phase power system state estimation is widely used in the industry to identify the current power system operating state due to its relative accuracy. However, it is less accurate for low-voltage distribution networks, such as the 15-bus network system in the Lab of Clean Energy Resea...

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Main Author: Lim, Wee Hong.
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49864
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-498642023-07-07T16:59:21Z An improved state estimation algorithm and its implementation for distribution networks Lim, Wee Hong. Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Single-phase power system state estimation is widely used in the industry to identify the current power system operating state due to its relative accuracy. However, it is less accurate for low-voltage distribution networks, such as the 15-bus network system in the Lab of Clean Energy Research at the Nanyang Technological University, To that end, improvements to the existing single-phase Weighted-Least- Square state estimation software has been set down as a goal for this project. This project has seen the implementation of a three-phase Weighted-Least-Square algorithm that incorporates Kirchoff’s Voltage Law and Kirchoff’s Current Law. The implemented software estimated system state with higher accuracy compared to the existing software for the IEEE-14 test bus system. Another three-phase power flow algorithm, the Newton Raphson power flow method [1] was also explored and tested. Bachelor of Engineering 2012-05-25T03:05:27Z 2012-05-25T03:05:27Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49864 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
Lim, Wee Hong.
An improved state estimation algorithm and its implementation for distribution networks
description Single-phase power system state estimation is widely used in the industry to identify the current power system operating state due to its relative accuracy. However, it is less accurate for low-voltage distribution networks, such as the 15-bus network system in the Lab of Clean Energy Research at the Nanyang Technological University, To that end, improvements to the existing single-phase Weighted-Least- Square state estimation software has been set down as a goal for this project. This project has seen the implementation of a three-phase Weighted-Least-Square algorithm that incorporates Kirchoff’s Voltage Law and Kirchoff’s Current Law. The implemented software estimated system state with higher accuracy compared to the existing software for the IEEE-14 test bus system. Another three-phase power flow algorithm, the Newton Raphson power flow method [1] was also explored and tested.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Lim, Wee Hong.
format Final Year Project
author Lim, Wee Hong.
author_sort Lim, Wee Hong.
title An improved state estimation algorithm and its implementation for distribution networks
title_short An improved state estimation algorithm and its implementation for distribution networks
title_full An improved state estimation algorithm and its implementation for distribution networks
title_fullStr An improved state estimation algorithm and its implementation for distribution networks
title_full_unstemmed An improved state estimation algorithm and its implementation for distribution networks
title_sort improved state estimation algorithm and its implementation for distribution networks
publishDate 2012
url http://hdl.handle.net/10356/49864
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