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Titre: | Optimal sizing and allocation of static var compensator in power network |
Auteur(s): | Megari, Mouhsen Elbachir Hadjersi, Azzeddine Bentarzi, Hamid (supervisor) |
Mots-clés: | Power Network Optimal sizing Static var compensator |
Date de publication: | 2020 |
Résumé: | The power system transformation brings new challenges and opportunities due to changes and uncertainties in electricity consumption and generation. High integration of intermittent solar and wind generation requires fast ramping resources to satisfy the growing demand, triggered by the electri?cation of the transportation sector.A smart grid has also emerged as one of the solutions to the technical issues, hence allowing the usage of renewable and improving the energy efficiency of the electrical grid. The challenge is to develop an intelligent management system to maintain the balance between generation and demand. As part of the smart grid, the deployment of energy storage systems (ESS) and the Static Var compensator (SVC) plays a critical role in stabilizing the voltage and frequency of the networks with renewable energy sources and electric vehicles (EV).
In recent years, many voltage instability incidents have occurred in power systems, the main cause of the voltage instability is the reactive power limit of the system. Flexible Alternative Current transmission systems (FACTS) devices can play a very important role in preventing voltage instability. SVC as a FACTS device can significantly provide continuous voltage control under various operating conditions.
In this context, this report proposes a new algorithm to find the optimal location and size of SVC controllers in order to increase the voltage security of power systems during large disturbances. The optimal location and size of SVC are determined based on the sensitivity of the voltage magnitude dV/dQ. The simulated tests were made using a model of an IEEE 9-bus power network to see the positive impacts of a well implemented SVCs. |
Description: | x, 62 p. |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11724 |
Collection(s) : | Power
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