Titre :	Load Frequency Control Strategy for Wind Power Connected Power System
Type de document :	texte manuscrit
Auteurs :	Nafissa Benlahbib, Auteur ; Rayhane Maicha, Auteur ; Youcef Oubbati, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'électrotechnique
Année de publication :	2022
Importance :	61p.
Note générale :	OPTION: Electrical Power System
Langues :	Anglais
Résumé :	This dissertation treats problem of Load Frequency Control (LFC) with the integration of Renewable Energy sources (Res) in a three-area interconnected thermal power system taking into consideration Generation Rate Constraint (GRC) and Speed Governor Dead-Band (GDB) for a more realistic study. For this purpose, we used PID controllers in our system. The optimum PID settings were determined by two optimization methods, a new algorithm called Archimedes Optimization Algorithm (AOA) and Genetic Algorithm (GA), and compared to each other. After that, we show the impact of the integration of Wind power in one area in our system. Then, we propose the Battery Energy Storage System (BESS) in all areas to restore system frequency against various disruptions produced by wind power integration.
note de thèses :	memoire de master

Load Frequency Control Strategy for Wind Power Connected Power System [texte manuscrit] / Nafissa Benlahbib, Auteur ; Rayhane Maicha, Auteur ; Youcef Oubbati, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électrotechnique, 2022 . - 61p.
OPTION: Electrical Power System
Langues : Anglais

Résumé :

This dissertation treats problem of Load Frequency Control (LFC) with the integration of Renewable Energy sources (Res) in a three-area interconnected thermal power system taking into consideration Generation Rate Constraint (GRC) and Speed Governor Dead-Band (GDB) for a more realistic study. For this purpose, we used PID controllers in our system. The optimum PID settings were determined by two optimization methods, a new algorithm called Archimedes Optimization Algorithm (AOA) and Genetic Algorithm (GA), and compared to each other. After that, we show the impact of the integration of Wind power in one area in our system. Then, we propose the Battery Energy Storage System (BESS) in all areas to restore system frequency against various disruptions produced by wind power integration.

note de thèses :

memoire de master