Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Control Design and Parameter Tuning for Islanded Microgrids by Combining Different Optimization Algorithms

  • Datos identificativos

    Identificador: imarina:9265253
    Autores:
    Valedsaravi, SeyedaminEl Aroudi, AbdelaliBarrado-Rodrigo, Jose AIssa, WalidMartinez-Salamero, Luis
    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.
  • Otros:

    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
  • Palabras clave:

    Control and Optimization,Electrical and Electronic Engineering,Energy & Fuels,Energy (Miscellaneous),Energy Engineering and Power Technology,Engineering (Miscellaneous),Fuel Technology,Renewable Energy, Sustainability and the Environm,Renewable Energy, Sustainability and the Environment
    Voltage-source inverter
    State-space modelling
    Stability
    Quality
    Power management
    Particle swarm optimization
    Operation
    Load
    Islanded microgrid
    Inverter
    Genetic algorithm
    Control strategies
    Ac
    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
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