Autor según el artículo: Valedsaravi, Seyedamin; El Aroudi, Abdelali; Barrado-Rodrigo, Jose A; Issa, Walid; Martinez-Salamero, Luis
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/es de la URV: Barrado Rodrigo, José Antonio / El Aroudi Chaoui, Abdelali / Martínez Salamero, Luis / Valedsaravi, Seyedamin
Palabras clave: Voltage-source inverter State-space modelling Stability Quality Power management Particle swarm optimization Operation Load Islanded microgrid Inverter Genetic algorithm Control strategies Ac
Resumen: Load and supply parameters may be uncertain in microgrids (MGs) due for instance to the intermittent nature of renewable energy sources among others. Guaranteeing reliable and stable MGs despite parameter uncertainties is crucial for their correct operation. Their stability and dynamical features are directly related to the controllers' parameters and power-sharing coefficients. Hence, to maintain power good quality within the desirable range of system parameters and to have a satisfactory response to sudden load changes, careful selection of the controllers and power-sharing coefficients are necessary. In this paper, a simple design approach for the optimal design of controllers' parameters is presented in an islanded MG. To that aim, an optimization problem is formulated based on a small-signal state-space model and solved by three different optimization techniques including particle swarm optimization (PSO), genetic algorithm (GA), and a proposed approach based on the combination of both PSO and GA. The optimized coefficients are selected to guarantee desirable static and dynamic responses in a wide range of operations regardless of the number of inverters, system configuration, output impedance differences, and load types. Through the proposed design and tuning method, the performance of the MG is improved as compared to those obtained using state-of-art techniques. This fact is demonstrated by using numerical simulations performed on a detailed model implemented in PSIM (c) software.
Áreas temáticas: Zootecnia / recursos pesqueiros Renewable energy, sustainability and the environment Renewable energy, sustainability and the environm Interdisciplinar General computer science Fuel technology Engineering (miscellaneous) Engenharias iv Engenharias iii Engenharias ii Energy engineering and power technology Energy (miscellaneous) Energy & fuels Electrical and electronic engineering Economia Control and optimization Ciências ambientais Ciências agrárias i Ciência da computação Building and construction Biotecnología Biodiversidade Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: seyedamin.valedsaravi@estudiants.urv.cat seyedamin.valedsaravi@estudiants.urv.cat abdelali.elaroudi@urv.cat joseantonio.barrado@urv.cat
Identificador del autor: 0000-0001-9103-7762 0000-0003-1982-8425
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/1996-1073/15/10/3756
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Energies. 15 (10): 3756-
Referencia de l'ítem segons les normes APA: Valedsaravi, Seyedamin; El Aroudi, Abdelali; Barrado-Rodrigo, Jose A; Issa, Walid; Martinez-Salamero, Luis (2022). Control Design and Parameter Tuning for Islanded Microgrids by Combining Different Optimization Algorithms. Energies, 15(10), 3756-. DOI: 10.3390/en15103756
DOI del artículo: 10.3390/en15103756
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications