Evolutionary algorithms for multi-objective optimization Applied for reactive dispatch problem.
- Author Ismail Marouani
- Co-Author Hsan Hadj Abdallah
- DOI http://wwj
- Country : Tunisia
- Subject : Control & Energies Management
Keywords : Evolutionary Algorithms, reactive dispatching problem RDP, NPGA, NSGA-II, power losses, voltage deviation, cost function for compensation device
Abstract
An Evolutionary Algorithms as a technique of optimization presented in this paper to solving the reactive dispatch problem RDP. This reactive dispatching RD consists to minimize three objectives functions which are respectively the voltage deviation function, the power losses in transmission lines and the function cost for the reactive power compensation device in electrical power system. This recent technique based on Evolutionary Algorithms, in particular the NPGA (Niched Pareto Genetic Algorithm) and the NSGA-II technique (non-dominated sorting genetic algorithm) are used to solve this reactive dispatching problem RDP. In order to demonstrate the advantage of this approaches, a classical technique called weight method is used. Results simulation are obtained from the application of all methods cited on test system 20-bus-6-units using matlab Simulink.
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