Implementing real-time state estimator for microgrids

State Estimation (SE) is a function, used to identify the current operating state of the system accurately and efficiently, as well as monitoring operational constraints on quantities such as transmission line loadings of bus voltage magnitudes. Introduction of the state estimation function broadene...

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Main Author: Rhesa Mulyadi.
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/46214
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-462142023-07-07T16:28:24Z Implementing real-time state estimator for microgrids Rhesa Mulyadi. Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power State Estimation (SE) is a function, used to identify the current operating state of the system accurately and efficiently, as well as monitoring operational constraints on quantities such as transmission line loadings of bus voltage magnitudes. Introduction of the state estimation function broadened the capabilities of the SCADA system computers, leading to the establishment of the Energy Management Systems (EMS), which would now be equipped with, among other application functions, an on-line State Estimator (SE). [1] In this project, the existing Phase Measurement Units (PMUs) state estimation system in Laboratory of Clean Energy Research (LaCER) within Nanyang Technological University, is made “smarter” by equipping it with an automatic function which let the program run with the best possible algorithm to be used for the different possible systems. The addition of Offline function is added to give specific readings in any case further upgrading of the system is required without the need of risking the hardware appliances from malfunctioning due to faulty software. Last but not least, Phasor Current Measurement function is added to the current Weighted Least Square (WLS) algorithm, making it more versatile for adoption in a different system in the future. Bachelor of Engineering 2011-07-07T01:30:23Z 2011-07-07T01:30:23Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46214 en Nanyang Technological University 66 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::Electric power
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electric power
Rhesa Mulyadi.
Implementing real-time state estimator for microgrids
description State Estimation (SE) is a function, used to identify the current operating state of the system accurately and efficiently, as well as monitoring operational constraints on quantities such as transmission line loadings of bus voltage magnitudes. Introduction of the state estimation function broadened the capabilities of the SCADA system computers, leading to the establishment of the Energy Management Systems (EMS), which would now be equipped with, among other application functions, an on-line State Estimator (SE). [1] In this project, the existing Phase Measurement Units (PMUs) state estimation system in Laboratory of Clean Energy Research (LaCER) within Nanyang Technological University, is made “smarter” by equipping it with an automatic function which let the program run with the best possible algorithm to be used for the different possible systems. The addition of Offline function is added to give specific readings in any case further upgrading of the system is required without the need of risking the hardware appliances from malfunctioning due to faulty software. Last but not least, Phasor Current Measurement function is added to the current Weighted Least Square (WLS) algorithm, making it more versatile for adoption in a different system in the future.
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Rhesa Mulyadi.
format Final Year Project
author Rhesa Mulyadi.
author_sort Rhesa Mulyadi.
title Implementing real-time state estimator for microgrids
title_short Implementing real-time state estimator for microgrids
title_full Implementing real-time state estimator for microgrids
title_fullStr Implementing real-time state estimator for microgrids
title_full_unstemmed Implementing real-time state estimator for microgrids
title_sort implementing real-time state estimator for microgrids
publishDate 2011
url http://hdl.handle.net/10356/46214
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