Optimisation Multiobjectif de L’écoulement de Puissance par des Algorithmes Multiagents Probabilistes
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Date
2017-03-01
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Abstract
Résumé (Français et/ou Anglais) :
The main current concerns of power generators using thermal fossil fuel power plants are producing electricity with a low cost of fuel and minimizing emissions of toxic gases into the atmosphere.
Note that for cost minimization and reduction of emissions, it is necessary to consider the transmission losses that depend on the network map, the values of the impedances brought into play and the load distribution and productions. The latter plays the most important role in this area. For this it is necessary to express the total losses as a function of the generated power.
The high level of competitiveness today forced power plants to continuously improve reliability, efficiency and profitability, while enhancing their performance and compliance with environmental.
The use of probabilistic multi-agent algorithms enables solving problems of minimization of greenhouse gas emissions, improving dust control, optimizing the performance of fuels and yield optimization turbines.
Our work has focused on the exploitation of effective cooperation between software agents that require a high degree of coordination. The intelligence gained here is adaptive, agents must use the information received in order to behave properly in a scalable environment.
This work is validated through IEEE networks.
Description
Doctorat en Sciences
