| 2/2014 - 20 |
A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC AlgorithmKULANTHAISAMY, A., VAIRAMANI, R.   , KARUNAMURTHI, N. K., KOODALSAMY, C. |
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Author keywords
artificial bee colony algorithm, complete observability, measurement redundancy, optimal placement, phasor measurement unit
References keywords
power(29), placement(18), systems(16), optimal(16), algorithm(14), observability(11), artificial(11), system(9), measurement(9), colony(9)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 117 - 128
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02020
Web of Science Accession Number: 000340868100020
SCOPUS ID: 84901852623
Abstract
This paper presents a Multi- objective Optimal Placement of Phasor Measurement Units (MOPP) method in large electric transmission systems. It is proposed for minimizing the number of Phasor Measurement Units (PMUs) for complete system observability and maximizing the measurement redundancy of the system, simultaneously. The measurement redundancy means that number of times a bus is able to monitor more than once by PMUs set. A higher level of measurement redundancy can maximize the total system observability and it is desirable for a reliable power system state estimation. Therefore, simultaneous optimization of the two conflicting objectives are performed using a binary coded Artificial Bee Colony (ABC) algorithm. The complete observability of the power system is first prepared and then, single line loss contingency condition is considered to the main model. The efficiency of the proposed method is validated on IEEE 14, 30, 57 and 118 bus test systems. The valuable approach of ABC algorithm is demonstrated in finding the optimal number of PMUs and their locations by comparing the performance with earlier works. |
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[1] ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.03006 [CrossRef] [Full text]
[2] Application of heuristic algorithms to optimal PMU placement in electric power systems: An updated review, Nazari-Heris, M., Mohammadi-Ivatloo, B., Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Issue , 2015.
Digital Object Identifier: 10.1016/j.rser.2015.04.152 [CrossRef]
[3] A New Power System Restoration Technique based on WAMS Partitioning, Phanendra Babu, N. V., Suresh Babu, P., Siva Sarma, D. V. S. S., Engineering, Technology & Applied Science Research, ISSN 1792-8036, Issue 4, Volume 7, 2017.
Digital Object Identifier: 10.48084/etasr.1197 [CrossRef]
[4] Temperature Analysis in Power Transformer Windings Using Created Artificial Bee Algorithm and Computer Program, Zile, Mehmet, IEEE Access, ISSN 2169-3536, Issue , 2019.
Digital Object Identifier: 10.1109/ACCESS.2019.2915343 [CrossRef]
[5] Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique, Raqib Hussain, A., Elango, M. K., Optimal Control Applications and Methods, ISSN 0143-2087, Issue 5, Volume 44, 2023.
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[6] A Phasor Estimation Algorithm based on Hilbert Transform for P-class PMUs, RAZO-HERNANDEZ, J. R., VALTIERRA-RODRIGUEZ, M., GRANADOS-LIEBERMAN, D., TAPIA-TINOCO, G., RODRIGUEZ-RODRIGUEZ, J. R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.03013 [CrossRef] [Full text]
[7] A Probabilistic Multi-Objective Model for Phasor Measurement Units Placement in the Presence of Line Outage, Huang, Yu, Li, Shuqin, Liu, Xinyue, Zhang, Yan, Sun, Li, Yang, Kai, Sustainability, ISSN 2071-1050, Issue 24, Volume 11, 2019.
Digital Object Identifier: 10.3390/su11247097 [CrossRef]
[8] Evaluating Performance of a Linear Hybrid State Estimator Utilizing Measurements From RTUs and Optimally Placed PMUs, Kiio, Mercy Ndinda, Wekesa, Cyrus Wabuge, Kamau, Stanley Irungu, IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3182338 [CrossRef]
[9] Optimal Allocation of PMUs in the Eastern Region Indian Power Grid with Maximum Redundancy, Priyadarshini, Subhashree, Panigrahi, Chinmoy Kumar, 2021 1st International Conference on Power Electronics and Energy (ICPEE), ISBN 978-1-7281-8774-7, 2021.
Digital Object Identifier: 10.1109/ICPEE50452.2021.9358489 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
