Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

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

  • Identification data

    Identifier: imarina:9265253
  • Authors:

    Valedsaravi, Seyedamin
    El Aroudi, Abdelali
    Barrado-Rodrigo, Jose A.
    Issa, Walid
    Martinez-Salamero, Luis
  • Others:

    Author, as appears in the article.: Valedsaravi, Seyedamin; El Aroudi, Abdelali; Barrado-Rodrigo, Jose A.; Issa, Walid; Martinez-Salamero, Luis;
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Barrado Rodrigo, José Antonio / El Aroudi Chaoui, Abdelali / Martínez Salamero, Luis / Valedsaravi, Seyedamin
    Keywords: Voltage-source inverter State-space modelling Stability Quality Power management Particle swarm optimization Operation Load Islanded microgrid Inverter Genetic algorithm Control strategies Ac
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: luis.martinez@urv.cat seyedamin.valedsaravi@urv.cat abdelali.elaroudi@urv.cat joseantonio.barrado@urv.cat
    Author identifier: 0000-0003-3344-9501 0000-0001-9103-7762 0000-0003-1982-8425
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/1996-1073/15/10/3756
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Energies. 15 (10):
    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), -. DOI: 10.3390/en15103756
    Article's DOI: 10.3390/en15103756
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    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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