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Application of a hybrid optimization approach for distribution capacitor allocation considering varying load conditions
Swinburne University of Technology, Australia.
2009 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 31, no 10, 589-595 p.Article in journal (Refereed) Published
Abstract [en]

This work presents a new algorithm based on a combination of fuzzy (FUZ), Forward Update (FWD), and Genetic Algorithm (GA) approaches for capacitor allocation in distribution feeders. The problem formulation considers three distinct objectives related to total cost of energy loss and total cost of capacitors including the purchase and installation costs and one term related to total cost of produced power under peak load condition. The novel formulation is a multi-objective and non-differentiable optimization problem. The proposed methodology of this article uses an iterative optimization technique based on Forward Update approach which is embedded in a Genetic Algorithm framework. The fuzzy reasoning supported by the fuzzy set theory is used for sitting of capacitors and the GA is employed for finding the optimum shape of membership functions. The proposed method has been implemented in a software package and its effectiveness has been verified through a 9-bus radial distribution feeder along with a 34-bus radial distribution feeder for the sake of conclusions supports. A comparison has been done among the proposed method of this paper and similar methods in other research works that shows the effectiveness of the proposed method of this paper for solving optimum capacitor planning problem.

Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 31, no 10, 589-595 p.
Keyword [en]
Capacitor planning, Distribution network, Forward update scheme, Fuzzy set theory, Genetic Algorithm, Capacitor allocation, Distribution feeders, Energy loss, Fuzzy reasoning, Hybrid optimization, Installation costs, Iterative Optimization, Multi objective, Non-differentiable optimization, Optimum shape, Peak load, Planning problem, Problem formulation, Radial distribution feeders, Total costs, Varying load, Capacitors, Costs, Current limiting reactors, Distributed parameter networks, Energy dissipation, Feeding, Fuzzy logic, Fuzzy sets, Genetic algorithms, Membership functions, Optimization, Capacitance
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-79307DOI: 10.1016/j.ijepes.2009.03.029ISI: 000271926700002Scopus ID: 2-s2.0-70350020494OAI: oai:DiVA.org:kth-79307DiVA: diva2:495335
Note

QC 20120209

Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2017-12-07Bibliographically approved

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CiteExportLink to record
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  • apa
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