Impact of load modeling in distribution state estimation

System state monitoring is crucial in order to maintain the system security, reliability and quality of a power system. Considering the limitation of monitoring devices in distribution network, state estimation technique could be employed. State estimation is an action of appraising an unknown syste...

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Main Authors: Karimi, M., Mokhlis, Hazlie, Bakar, A.H.A., Shahriari, A., Faradonbeh, M.A., Rosli, H.M.
Format: Conference or Workshop Item
Language:English
Published: 2012
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Online Access:http://eprints.um.edu.my/7825/1/Impact_of_load_modeling_in_distribution_state_estimation.pdf
http://eprints.um.edu.my/7825/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6230837&tag=1
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spelling my.um.eprints.78252019-10-09T08:54:52Z http://eprints.um.edu.my/7825/ Impact of load modeling in distribution state estimation Karimi, M. Mokhlis, Hazlie Bakar, A.H.A. Shahriari, A. Faradonbeh, M.A. Rosli, H.M. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering System state monitoring is crucial in order to maintain the system security, reliability and quality of a power system. Considering the limitation of monitoring devices in distribution network, state estimation technique could be employed. State estimation is an action of appraising an unknown system variables based on limited number of real-time measurements. The main objective of this paper is to find the suitable state estimation that able to estimate the state of the islanded distribution network. In this paper, state estimation for a distribution network is developed and enhanced by incorporating composite load model. By incorporating this model, the calculated state variables of the network will be more accurate (to obtain the most practical value of the system state variables). Moreover, the proposed state estimation results are compared with backward-forward sweep load flow technique to justify the system state variables. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/7825/1/Impact_of_load_modeling_in_distribution_state_estimation.pdf Karimi, M. and Mokhlis, Hazlie and Bakar, A.H.A. and Shahriari, A. and Faradonbeh, M.A. and Rosli, H.M. (2012) Impact of load modeling in distribution state estimation. In: 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012, 2012, Melaka. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6230837&tag=1
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Karimi, M.
Mokhlis, Hazlie
Bakar, A.H.A.
Shahriari, A.
Faradonbeh, M.A.
Rosli, H.M.
Impact of load modeling in distribution state estimation
description System state monitoring is crucial in order to maintain the system security, reliability and quality of a power system. Considering the limitation of monitoring devices in distribution network, state estimation technique could be employed. State estimation is an action of appraising an unknown system variables based on limited number of real-time measurements. The main objective of this paper is to find the suitable state estimation that able to estimate the state of the islanded distribution network. In this paper, state estimation for a distribution network is developed and enhanced by incorporating composite load model. By incorporating this model, the calculated state variables of the network will be more accurate (to obtain the most practical value of the system state variables). Moreover, the proposed state estimation results are compared with backward-forward sweep load flow technique to justify the system state variables.
format Conference or Workshop Item
author Karimi, M.
Mokhlis, Hazlie
Bakar, A.H.A.
Shahriari, A.
Faradonbeh, M.A.
Rosli, H.M.
author_facet Karimi, M.
Mokhlis, Hazlie
Bakar, A.H.A.
Shahriari, A.
Faradonbeh, M.A.
Rosli, H.M.
author_sort Karimi, M.
title Impact of load modeling in distribution state estimation
title_short Impact of load modeling in distribution state estimation
title_full Impact of load modeling in distribution state estimation
title_fullStr Impact of load modeling in distribution state estimation
title_full_unstemmed Impact of load modeling in distribution state estimation
title_sort impact of load modeling in distribution state estimation
publishDate 2012
url http://eprints.um.edu.my/7825/1/Impact_of_load_modeling_in_distribution_state_estimation.pdf
http://eprints.um.edu.my/7825/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6230837&tag=1
_version_ 1648736079718645760
score 13.160551