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Application of a new hybrid optimization method for optimum distribution capacitor planning

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Open access
Authors
Seifi, A.
Hesamzadeh, M.
Hosseinzadeh, N.
Wolfs, Peter
Date
2007
Type
Conference Paper

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Citation
Seifi, A. and Hesamzadeh, M. and Hosseinzadeh, N. and Wolfs, Peter. 2007. Application of a new hybrid optimization method for optimum distribution capacitor planning, in Unknown (ed), Power Engineering Conference, 2007. IPEC 2007. International, Dec 3 2007, pp. 70-74. Singapore: IEEE.
Source Title
Power Engineering Conference
Source Conference
Power Engineering Conference, 2007. IPEC 2007. International
ISBN
Faculty
Department of Electrical and Computer Engineering
School of Engineering
Faculty of Science and Engineering
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Abstract

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.