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: seyedamin.valedsaravi@estudiants.urv.cat seyedamin.valedsaravi@estudiants.urv.cat abdelali.elaroudi@urv.cat joseantonio.barrado@urv.cat
Author identifier: 0000-0001-9103-7762 0000-0003-1982-8425
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/1996-1073/15/10/3756
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Energies. 15 (10): 3756-
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
Article's DOI: 10.3390/en15103756
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications