Browsing by Author "Adjerid, Hamza"

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    Multi-Agent based management of distribution networks
    (Université M'Hamed Bougara : Institut de génie électrique et électronique, 2021) Adjerid, Hamza; Maouche, Amin Riad(Directeur de thèse)
    Now, the large-scale integration of renewable energy resources and distribution generations leads to more complex power systems. To deal with this integration, new technologies based on power electronics and information and communication technologies (ICTs) have been explored to manage the new power systems, called active distribution systems. To facilitate the integration of distributed generation, active distribution networks have emerged. It is always important, at the active distribution networks management center level, to acquire accurate real time measurements to be able to control and take the appropriate decision. State estimation is an important function in distribution systems in general and active distribution networks in particular. State estimation must be done to ensure the good functioning of the active distribution system. Several authors have proposed some methods to solve the state estimation problem based on the power flow equations. Some methods are numerical like newton method or linear programming and some others based on artificial intelligence. In this thesis, we will propose a new multi-agent system-based approach. This technique is based on multi agent systems, to split the active distribution network and to manage the resulting sub-networks, and the metaheuristic algorithm ABC to perform the state calculations. Our approach is tested on IEEE 6-bus, 14-bus and 30-bus. The results show a dramatic decrease in the computational burden, thus a faster estimation in large systems can be obtained. This demonstrates the effectiveness of the proposed strategy
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    Multi-Agent system-based decentralized state estimation method for active distribution networks
    (Elsevier, 2020) Adjerid, Hamza; Maouche, Amin Riad
    This paper deals with the state estimation problem in Active Distribution Networks. With energy deregulation and the emergence of renewable energy sources, more distributed generation is integrated into distribution networks which increases their complexity. To be able to manage, control and take appropriate decisions on power networks, it is necessary to have accurate real-time measurements to perform state estimation. However, the use of classical methods for state estimation, on complex distribution networks, reveal instantly their limits. To handle these systems complexity, a new decentralized multi-agent-based approach is proposed. This allows us to split systems into smaller parts whose estimation is easier and faster. Finally, Artificial Bee Colony algorithm is adopted for state estimation. Our approach is tested on IEEE 6-bus, 14-bus and 30-bus. Results show a dramatic decrease in the computational burden, thus a faster estimation on large systems. This demonstrates the effectiveness of the proposed strategy.