Optimization compensating devices in the power supply systems using population algorithms
| Autor: | Elena Semyonovna Tretyakova, U. Bumtsend, Vadim Manusov |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Engineering Optimization problem Meta-optimization business.industry 020209 energy Particle swarm optimization Imperialist competitive algorithm 02 engineering and technology AC power Genetic algorithm 0202 electrical engineering electronic engineering information engineering Multi-swarm optimization business Algorithm Metaheuristic |
| Zdroj: | 2016 11th International Forum on Strategic Technology (IFOST). |
| DOI: | 10.1109/ifost.2016.7884246 |
| Popis: | The paper is devoted to the optimization of reactive power sources arrangement in the power supply grid of enterprises to reduce the active power losses at the lowest cost of reactive power sources. To solve the optimization problem was used the particle swarm algorithm. The paper focuses on the description of the algorithm and explanation how exactly particle swarm algorithm is used for this task. Since the particle swarm algorithm requires adjustment heuristic parameters, in the work carried out their adaptation for improvement of the algorithm effectiveness. The adaptation was implemented with the use of the genetic algorithm. It is shown that the optimization allows reducing active power losses up to 20% for the considered power supply system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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