Optimization of Powers by Evolutionary Methods of a Complex Electrical System
| Autor: | R. Rahiel, B. Yssaad, A. Chaker, D. Rahiel |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Mathematical optimization Meta-optimization business.industry Mechanical Engineering General Chemical Engineering Electric potential energy law.invention Electric power system law Robustness (computer science) Modeling and Simulation Electrical network Genetic algorithm Electrical and Electronic Engineering Multi-swarm optimization business Metaheuristic |
| Zdroj: | International Review on Modelling and Simulations (IREMOS). 8:171 |
| ISSN: | 2533-1701 1974-9821 |
| DOI: | 10.15866/iremos.v8i2.5900 |
| Popis: | In this paper, we propose a method for optimizing the powers of a complex power system based on a hybrid approach. The basic idea is to do a combination of a genetic algorithm (GA) and a metaheuristic computational method based on the particle swarm algorithm (PSO) in order to ensure their benefits and minimize their disadvantages, using both exploration capabilities, the analogy of the AG, and operational robustness of the PSO. Our task is to minimize the total cost of production function of electrical energy using a hybrid genetic algorithm. The application of this method was tested on an electrical network of IEEE 57-node and the results we obtained show the advantage of optimizing by the marriage of the two methods in a single algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|