MULTI-OBJECTIVE AND MULTIVARIABLE CONTROL OF VS-VP WIND TURBINES
Main researchers:
Dr. Juan Garrido Jurado
Dr. Francisco Javier Vázquez Serrano
Research team:
Dr. Mario Luis Ruz Ruiz
Dr. Fernando Morilla García
Work team:
Dr. Manuel Lara Ortiz
Reference: PID2020-117063RB-I00/AEI/10.13039/501100011033
Organization: Ministry of Science and Innovation of Spain
From: 2021-09-01
To: 2024-08-31
Funding: 71.753 €
Summary:
The current project is focused on the study, analysis and control of horizontal VS-VP wind turbines with DFIG (doublyfed induction generator) operating on-grid. The main goal is the development of new multivariable control strategies, and others complementary to the existing ones, that allows for a more efficient and safer operation. New whole models of commercial wind turbines are developed, and their aerodynamic part are validated using the FAST software, which is usually utilized by companies of the wind energy sector. From the analysis of these system models, different control methodologies are proposed. This project aims to study the reduction of wind turbine loads from a global point of view, analyze their interaction and develop multiobjective control strategies considering several loads at the same time, together with the quality and efficiency of the generated power. In addition to compare the proposals with existing methods, the initial results obtained by simulation will be extrapolated and validated in a real lab plant where the aerodynamic part is simulated and the electrical one is implemented through a real DFIG of 2 kW. Furthermore, the results of the achieved developments will be verified in collaboration with the CENER.
PUBLICATIONS IN SCIENTIFIC JOURNALS AND CONFERENCES:
- “Decentralized individual pitch control with inverted decoupling for wind turbines in the full load region”. 19th IEEE Conference on Industrial Electronics and Applications (ICIEA 2024). Kristiansand (Norwat), Augost 2024 (aceptado).
- “Multi-Objective Optimization of Individual Pitch Control for Blade Fatigue Load Reductions for a 15 MW Wind Turbine”. 22nd European Control Conference. Stockholm (Sweden), June 2024.
- “Adaptive Active Generator Torque Controller Design Using Multi-Objective Optimization for Tower Lateral Load Reduction in Monopile Offshore Wind Turbines”. IEEE Access, Volume 11, pp. 115894-115910, 2023, doi: 10.1109/ACCESS.2023.3325840.
- “Optimization with genetic algorithms of individual pitch control design with and without azimuth offset for wind turbines in the full load region”. 22nd IFAC World Congress. Yokohama (Japan), July 2023, IFAC-PapersOnLine 56 (2), pp 342-347.
- “Optimal Active Generator Torque Control Strategies for Tower Lateral Load Reduction in the IEA 15 MW Wind Turbine”. 11th Congress of the Federation of Simulation Societies in Europe (EUROSIM 2023); Simulation for a Sustainable Future. Amsterdam, (The Netherlands), july 2023
- “Control descentralizado de un emulador de aerogenerador VS-VP con DFIG real”. XLIII Jornadas de Automática. Logroño, September 2022, pp. 376-383. (Finalist work in the Prize for the Best Work in Control Engineering of this Conference).
DISSEMINATION AND EDUCATIONAL ACTIVITIES:
Invited lecture “Control multiobjetivo de aerogeneradores VS-VP para reducción de cargas” at the IV Workshop on Wind (and) Water Energy Energía Eólica (y) Marina WWWE 2022, 15th December, online, organized by Universidad Complutense de Madrid y UPV/EHU (in Spanish).
Doctoral thesis “Contributions to multi-objective control of wind turbines for energy efficiency and reduction of structural loads” by Manuel Lara Ortiz. 5/3/2024. Cum Laude.
CEA Control Engineering Competition CIC2023 (in Spanish):
Control of a large wind turbine (web)
CEA Control Engineering Competition CIC2024 (in Spanish):
Control of a large wind turbine II (web)
NATIONAL AND INTERNATIONAL COLLABORATIONS:
- Stay of 3 months (01/02/2022-30/04/2022) by Manuel Lara at the Delft Center for Systems and Control of Delft University of Technology, Netherlands.
- Stay of 45 days (01/06/2022-15/07/2022) by Manuel Lara at the National Renewable Energy Centre, Navarra, Spain.
DATASETS:
- Dataset for the manuscript Analysis of adaptive individual pitch control schemes for blade fatigue load reduction on a 15 MW wind turbine (here).
- Dataset for the manuscript Adaptive Active Generator Torque Controller Design Using Multi-Objective Optimization for Tower Lateral Load Reduction in Monopile Offshore Wind Turbines (aquí).
- Dataset for the manuscript Multi-objective optimization for simultaneously designing active control of tower vibrations and power control in wind turbines (aquí).
- Dataset del Concurso en Ingeniería de Control CIC2023 de CEA (aquí).
- Dataset del Concurso en Ingeniería de Control CIC2024 de CEA (aquí).
