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All Journal International Journal of Electrical and Computer Engineering
M. I. El Sayed
Al-Azhar University‎
Computer Science & IT Electrical & Electronics Engineering

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Coyote multi-objective optimization algorithm for optimal location and sizing of renewable distributed generators E. M. Abdallah; M. I. El Sayed; M. M. Elgazzar; Amal A. Hassan
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i2.pp975-983

Abstract

Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called ‘coyote optimization algorithm (COA)’ to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.
Co-Authors Amal A. Hassan E. M. Abdallah M. M. Elgazzar