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Maximum annual savings in radial distribution systems using firefly algorithm


Affiliations
1 Department of EEE, Sri Venkateswara University, Tirupati-517502, Andhra Pradesh, India
2 Senior Research Fellow, Energy Efficiency and Renewable Energy Division,CPRI, Bangalore - 560080, India
     

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This paper presents a two stage approach that determines the optimal location and size of capacitors on radial distribution systems to improve voltage profile and to reduce the active power loss. In first stage, the capacitor locations can be found by using loss sensitivity method. Firefly algorithm is used for finding the optimal capacitor sizes in radial distribution systems. The sizes of the capacitors corresponding to maximum annual savings are determined by considering the cost of the capacitors. The proposed method is tested on 15-bus and 34-bus test systems and the results are presented.

Keywords

Capacitor placement, loss sensitivity method, firefly algorithm, radial distribution system
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  • Maximum annual savings in radial distribution systems using firefly algorithm

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Authors

P. Dinakara Prasad Reddy
Department of EEE, Sri Venkateswara University, Tirupati-517502, Andhra Pradesh, India
B. Chandra Sekhar
Senior Research Fellow, Energy Efficiency and Renewable Energy Division,CPRI, Bangalore - 560080, India

Abstract


This paper presents a two stage approach that determines the optimal location and size of capacitors on radial distribution systems to improve voltage profile and to reduce the active power loss. In first stage, the capacitor locations can be found by using loss sensitivity method. Firefly algorithm is used for finding the optimal capacitor sizes in radial distribution systems. The sizes of the capacitors corresponding to maximum annual savings are determined by considering the cost of the capacitors. The proposed method is tested on 15-bus and 34-bus test systems and the results are presented.

Keywords


Capacitor placement, loss sensitivity method, firefly algorithm, radial distribution system



DOI: https://doi.org/10.33686/prj.v12i3.189291