Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy

Power system network is an interconnected web of crucial electrical elements and system monitoring. It is imperative in ensuring system integrity and stability. In regard to this, state estimation is commonly employed to obtain the best estimate of the power system condition based on limited number...

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Main Authors:	Rosli, H.M., Mokhlis, H., Naidu, K., Jamian, J.J., Bakar, A.H.A.
Format:	Article
Published:	Springer Verlag (Germany) 2014
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://link.springer.com/article/10.1007%2Fs13369-014-1397-8 http://link.springer.com/article/10.1007%2Fs13369-014-1397-8

id	um-11780
recordtype	eprints
spelling	um-117802017-11-13T08:21:00Z Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy Rosli, H.M. Mokhlis, H. Naidu, K. Jamian, J.J. Bakar, A.H.A. TA Engineering (General). Civil engineering (General) Power system network is an interconnected web of crucial electrical elements and system monitoring. It is imperative in ensuring system integrity and stability. In regard to this, state estimation is commonly employed to obtain the best estimate of the power system condition based on limited number of measurements. The placement of meters at appropriate locations is crucial in determining the accuracy of the state estimation. Hence, this paper presents a new optimal meter placement strategy for state estimation. A new evolutionary strategy for discrete optimization problem is proposed so that the location of additional meter placement will improve the accuracy of state estimation. The minimization of sum covariance error of state estimation is selected as the objective function to be minimized. Simulation results on the IEEE 30-bus system clearly shows that the proposed approach is able to outperform the conventional heuristic method in determining the optimal meter placement, which enhances the state estimation accuracy. Springer Verlag (Germany) 2014-11 Article PeerReviewed http://link.springer.com/article/10.1007%2Fs13369-014-1397-8 Rosli, H.M.; Mokhlis, H.; Naidu, K.; Jamian, J.J.; Bakar, A.H.A. (2014) Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy. Arabian Journal for Science and Engineering <http://eprints.um.edu.my/view/publication/Arabian_Journal_for_Science_and_Engineering.html>, 39 (11). pp. 7981-7989. ISSN 1319-8025 http://eprints.um.edu.my/11780/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Rosli, H.M. Mokhlis, H. Naidu, K. Jamian, J.J. Bakar, A.H.A. Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
description	Power system network is an interconnected web of crucial electrical elements and system monitoring. It is imperative in ensuring system integrity and stability. In regard to this, state estimation is commonly employed to obtain the best estimate of the power system condition based on limited number of measurements. The placement of meters at appropriate locations is crucial in determining the accuracy of the state estimation. Hence, this paper presents a new optimal meter placement strategy for state estimation. A new evolutionary strategy for discrete optimization problem is proposed so that the location of additional meter placement will improve the accuracy of state estimation. The minimization of sum covariance error of state estimation is selected as the objective function to be minimized. Simulation results on the IEEE 30-bus system clearly shows that the proposed approach is able to outperform the conventional heuristic method in determining the optimal meter placement, which enhances the state estimation accuracy.
format	Article
author	Rosli, H.M. Mokhlis, H. Naidu, K. Jamian, J.J. Bakar, A.H.A.
author_facet	Rosli, H.M. Mokhlis, H. Naidu, K. Jamian, J.J. Bakar, A.H.A.
author_sort	Rosli, H.M.
title	Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
title_short	Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
title_full	Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
title_fullStr	Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
title_full_unstemmed	Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy
title_sort	improving state estimation accuracy through incremental meter placement using new evolutionary strategy
publisher	Springer Verlag (Germany)
publishDate	2014
url	http://link.springer.com/article/10.1007%2Fs13369-014-1397-8 http://link.springer.com/article/10.1007%2Fs13369-014-1397-8
first_indexed	2018-09-06T06:01:23Z
last_indexed	2018-09-06T06:01:23Z
_version_	1610836799574245376

Improving State Estimation Accuracy Through Incremental Meter Placement Using New Evolutionary Strategy

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