LAPSE:2020.0723
Published Article
LAPSE:2020.0723
Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks
Chandan Kishore, Smarajit Ghosh, Vinod Karar
June 23, 2020
This paper suggests an innovative approach for the ideal placement and categorization of capacitors in radial distribution networks (RDNs) by applying symmetric fuzzy and improved bacterial foraging optimization algorithm (IBFOA) solutions. The reactive power reimbursement significantly enhances the function of the power system, and capacitor placement is an impressive technique used to reduce loss of the system. The capacitor allocation for distribution system problems involves determining the ideal location and size of the capacitor. In this work, load flow is performed at first to compute actual losses and voltages at different nodes without compensation. In the planned technique, the loss sensitivity factor (VSF) and voltage stability index (VSI) are utilized to determine the optimal location of capacitors in RDNs. Here, the IBFOA is used to determine the proper rating of the capacitor. The suggested scheme is applied on three different types of RDNs.
Keywords
capacitor placement, fuzzy modeling, improved bacterial foraging algorithm, load flow, loss sensitivity factor, voltage stability index
Suggested Citation
Kishore C, Ghosh S, Karar V. Symmetric Fuzzy Logic and IBFOA Solutions for Optimal Position and Rating of Capacitors Allocated to Radial Distribution Networks. (2020). LAPSE:2020.0723
Author Affiliations
Kishore C: Department of Electrical and Electronics Engineering, Northern India Engineering College, FC-26, Shastri Park, New Delhi, Delhi 110053, India
Ghosh S: Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab 147004, India
Karar V: Optical Devices and Systems, CSIR-Central Scientific Instruments Organisation, Sector 30-C, Chandigarh 160030, India
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Journal Name
Energies
Volume
11
Issue
4
Article Number
E766
Year
2018
Publication Date
2018-03-28
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11040766, Publication Type: Journal Article
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LAPSE:2020.0723
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doi:10.3390/en11040766
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Jun 23, 2020
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Jun 23, 2020
 
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Calvin Tsay
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