Abstract
In this paper, the problem of the Optimal Reactive Power Flow (ORPF) in the Algerian Western Network with 102 nodes is solved by the sequential hybridization of metaheuristics methods, which consists of the combination of both the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO). The aim of this optimization appears in the minimization of the power losses while keeping the voltage, the generated power, and the transformation ratio of the transformers within their real limits. The results obtained from this method are compared to those obtained from the two methods on populations used separately. It seems that the hybridization method gives good minimizations of the power losses in comparison to those obtained from GA and PSO, individually, considered. However, the hybrid method seems to be faster than the PSO but slower than GA.
Highlights
The objective of any company producing and distributing electrical energy is to ensure that the required power is available at all points and at all times
We propose the technique of sequential hybridization, which consists of the combination [13] of both the genetic algorithm and the particles swarm optimization
To improve the solutions which provide the methods metaheuristic, we applied the approach of sequential hybridization between the two populations metaheuristic, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in the West Algerian network with 102 nodes
Summary
The objective of any company producing and distributing electrical energy is to ensure that the required power is available at all points and at all times. It is necessary to adjust the active and reactive powers of the interconnected generators in an electrical grid within their permissible limits in order to satisfy the fluctuating electrical load while maintaining the various parts of the grid at stable voltages. This is called the optimal load distribution of OPF (Optimal Power Flow) and is sometimes known as the economic dispatching problem of power flow. The Problem of Optimal Power Flow (OPF) is a non-linear optimization problem, proposed by Carpenter in the early 1960s and based on the economic distribution of reactive power It was addressed in these works [1]
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