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Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm
Universiti Kebangsaan Malaysia (UKM), Malaysia.ORCID iD: 0000-0002-2838-083X
Universiti Kebangsaan Malaysia (UKM), Malaysia.
Universiti Kebangsaan Malaysia (UKM), Malaysia.
2012 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 43, no 1, p. 562-572Article in journal (Refereed) Published
Abstract [en]

In this paper, a novel global harmony search algorithm (NGHS) is used to determine the optimal location and size of shunt reactive power compensators such as shunt capacitors, static Var compensators (SVCs), and static synchronous compensators (STATCOMs) in a transmission network. The problem is decomposed into two subproblems. The first deals with the optimal placement of shunt Var compensation devices using the modal analysis method. The second subproblem is the optimization of the load flow using the NGHS algorithm. A multi-criterion objective function is defined to enhance the voltage stability, improve the voltage profile, and minimize power loss while minimizing the total cost. The results from a 57-bus test system show that the NGHS algorithm causes lower power loss and has better voltage profile and greater voltage stability than the improved harmony search algorithm (IHS) and particle swarm optimization (PSO) techniques in solving the placement and sizing problem of shunt Var compensators. Finally, a comparison of the convergence characteristics of three optimization methods demonstrates the greater accuracy and higher speed of the proposed NGHS algorithm in finding better solutions compared with PSO and IHS.

Place, publisher, year, edition, pages
Elsevier, 2012. Vol. 43, no 1, p. 562-572
Keywords [en]
Shunt Var compensators, Power loss, Modal analysis, Voltage profile, Harmony search algorithm
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-101759DOI: 10.1016/j.ijepes.2012.05.068ISI: 000311184200063Scopus ID: 2-s2.0-84863467503OAI: oai:DiVA.org:kau-101759DiVA, id: diva2:1901144
Available from: 2024-09-26 Created: 2024-09-26 Last updated: 2026-02-12Bibliographically approved

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Sirjani, Reza

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