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Application of a new hybrid optimization method for optimum distribution capacitor planning
2007 (English)In: 2007 CONFERENCE PROCEEDINGS IPEC, VOLS 1-3, 2007, 70-74 p.Conference paper (Refereed)
Abstract [en]

This work presents a new algorithm based on a combination of fuzzy (FUZ), Dynamic Programming (DP), and Genetic Algorithm (GA) approach for capacitor allocation in distribution feeders. The problem formulation considers two distinct objectives related to total cost of power loss and total cost of capacitors including the purchase and installation costs. The novel formulation is a multi-objective and non-differentiable optimization problem. The proposed method of this article uses fuzzy reasoning for sitting of capacitors in radial distribution feeders, DP for sizing and finally GA for finding the optimum shape of membership functions which are used in fuzzy reasoning stage. The proposed method has been implemented in a software package and its effectiveness has been verified through a 9-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
2007. 70-74 p.
Keyword [en]
Capacitor planning, Dynamic Programming, Fuzzy logic method, Genetic algorithm, Radial distribution feeder, Boolean functions, Capacitance, Capacitors, Current limiting reactors, Dielectric devices, Diesel engines, Distribution functions, Dynamic positioning, Electric equipment, Feeding, Genetic algorithms, Mathematical programming, Optimization, Percolation (solid state), Systems engineering, Wireless local area networks (WLAN), Problem solving
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-79320ISI: 000257065300013ISBN: 9789810594237OAI: diva2:495299
IPEC 2007 Meeting. Singapore, SINGAPORE. DEC 03-06, 2007
QC 20120227Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2012-02-27Bibliographically approved

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Hesamzadeh, Mohammad R.
Electrical Engineering, Electronic Engineering, Information Engineering

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