A Dynamic Optimal Power Flow of a Power System Based on Genetic Algorithm

Anwer, Afaneen; Almosawi, Ali H.

doi:10.30684/etj.v40i2.1747

	A Dynamic Optimal Power Flow of a Power System Based on Genetic Algorithm
Engineering and Technology Journal
Article 1, Volume 40, Issue 2, February 2022, Pages 290-300 PDF (723.94 K)
Document Type: Research Paper
DOI: 10.30684/etj.v40i2.1747
Authors
Afaneen Anwer^* ; Ali H. Almosawi
Electrical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
The traditional concepts and practices of power systems are superimposed by economic market management. So OPF has become complex, and classical optimization methods were used to solve OPF effectively. But, in recent years, Artificial Intelligence methods (GA, etc.) have emerged that can solve highly complex OPF problems. In this work two algorithms, were used for the solution of dynamic optimal power flow (OPF) problem taking the transmission losses and the cost of generation as the main constraints. Both algorithms were tested on a 14-bus IEEE test system. The contingency analysis was considered in the application of the algorithms. Additionally, a comparison was made between the two algorithms. The obtained results showed the effectiveness of the GA algorithm over the traditional algorithm
Highlights
Genetic Algorithm and Newton Raphson (NR) based approach to Optimal Power Flow problem has been presented. Both algorithms were tested on a 14-bus IEEE test system. The Genetic Algorithm Optimization (GAs) is very efficient in solving the OPF problem
Keywords
Genetic Algorithm (GA); Newton Raphson (NR); Optimal Power Flow

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