Optimal Location and Sizing of Renewable Distributed Generators in Radial Distribution System Using Coyote Optimization Algorithm

  • E. M. Abdallah, M. I. Elsayed, M. M. Elgazzer, Amal A. Hassan

Abstract

Optimal location and sizing of renewable distributed generators (RDGs) in radial distribution systems (RDS) is the most preferable strategies for increasing the generation of the power systems, enhancing performance of DS and covering increasing in load demand . In This paper application of new Optimization algorithm (Coyote Optimization Algorithm (COA)) is presented to obtain optimal placement and sizing of RDGs at different power factors to enhance performance of DS by reducing power losses and enhancing voltage profile for all buses of the network. Minimizing of active power losses is the main objective of this work which can be improve system performance; reliability, and efficiency. Simulations using MATLAB tools are implemented on the IEEE RDS including (33and 69) bus to evaluate the possibilities of the proposed algorithm. The COA results are compared with other meta-heuristic algorithms that show the feasibility of the strategy proposed to obtain optimum location and sizing of RDG in RDS.

Published
2020-11-05
How to Cite
E. M. Abdallah, M. I. Elsayed, M. M. Elgazzer, Amal A. Hassan. (2020). Optimal Location and Sizing of Renewable Distributed Generators in Radial Distribution System Using Coyote Optimization Algorithm. International Journal of Advanced Science and Technology, 29(04), 10633–10643. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/33576