NECIRA, Abdelkader (2022) Power system performance improvement in the presence of renewable sources. Doctoral thesis, Faculté des Sciences et de la technologie.
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Abstract
Electromechanical oscillations is a phenomenon in which a generator oscillates against other generators in the power system, the damping of these oscillations has therefore become a priority objective, The objective of our work is to ensure maximum damping of low frequency oscillations and to guarantee the overall stability of the system for different operating points by the use of power stabilizers (PSSs). To achieve this goal, we developed an improved metaheuristic optimization method based on the crows search algorithm (CSA) applied on an objective function extracted from the eigenvalue analysis of the power system. A comparative study was made, with a classic stabilizer, genetic algorithm-based PSS (GA-PSS), a particle-swarm-based PSS (PSO-PSS) and other stabilizers based on recent algorithms. The performances of these optimization methods were evaluated on a single machine connected to an infinite bus (SMIB) via a linear model time domain simulation. On the other hand, the effect of integrating a photovoltaic PV generator on the stability of the power system is presented, as well as solutions to increase the amount of integration of the PV generator without losing the stability of the system.
Item Type: | Thesis (Doctoral) |
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Uncontrolled Keywords: | Low frequency oscillations, Power stabilizer, Dynamic crow search algorithm, PV generator integration. |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculté des Sciences et de la technologie > Département de Génie Electrique |
Depositing User: | Mr. Mourad Kebiel |
Date Deposited: | 08 Dec 2022 07:51 |
Last Modified: | 08 Dec 2022 07:51 |
URI: | http://thesis.univ-biskra.dz/id/eprint/5929 |
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