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Prof. Dr. ADRIANA Aguilera González
ESTIA, Institute of Technology

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Research Keywords & Expertise

0 control
0 fault diagnosis
0 observability analysis
0 Microgird
0 Energy management in smart grids

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control
Energy management in smart grids

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Short Biography

Graduated in Electronics and Telecommunications Engineering at the Universidad Cooperativa de Colombia in 2006. I received the Master's and Ph.D. degrees in Electronic Engineering specialist in automatic control from the CENIDET in Cuernavaca, Mexico, in 2008 and 2012, respectively. I occupied a postdoctoral position at the MIS laboratory of the University of Picardie Jules Verne, Amiens, France. From 2014 to 2017 I was a research associate at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. I'm currently an Associate Professor at ESTIA, Institute of Technology in Bidart, France. My research interests include modeling and validation, observer's design, fault diagnosis, and fault-tolerant control based on models (nonlinear, LPV, descriptor approaches, etc.) with applications in smart grids.

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Project

Project Goal: The goal of this project is to transfer the know-how knowledge and implementation expertise in the field of Smart Grid (SG) from EU experts to Palestinian professors leading to build sustainable cooperation and partnership between academia and the energy sector in Palestine.

Starting Date:01 January 2021

Current Stage: Stand-by

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Project

Project Goal: This project proposes the development of Proactive Energy Management solutions for Industrial Micro-Grids. Different solutions will be studied based on predictive models and artificial intelligence. Also, fault diagnosis strategies will be included, to optimally manage industrial micro-grids made up of various renewable energy sources, storage systems, and recovery of fatal energy as well as electric vehicles.

Starting Date:01 October 2020

Current Stage: State of art, MG-dimensioning

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Journal article
Published: 18 February 2021 in Energies
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This paper presents a multi-objective energy management system (EMS) to manage the power dispatch of a hybrid power plant (HPP), consisting of a grid-connected wind farm and a Li-ION battery storage system on the island of Guadeloupe’s electrical grid. Via a controller based on Model Predictive Control (MPC), the EMS solves the problem of optimization by considering the production forecast data and managing several operation rules, which ensures meet energy targets considered for a sustainable power dispatching plan. The proposed strategy is tested in a PowerFactory/MATLAB co-simulation environment.

ACS Style

Rubén López-Rodríguez; Adriana Aguilera-González; Ionel Vechiu; Seddik Bacha. Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant. Energies 2021, 14, 1066 .

AMA Style

Rubén López-Rodríguez, Adriana Aguilera-González, Ionel Vechiu, Seddik Bacha. Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant. Energies. 2021; 14 (4):1066.

Chicago/Turabian Style

Rubén López-Rodríguez; Adriana Aguilera-González; Ionel Vechiu; Seddik Bacha. 2021. "Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant." Energies 14, no. 4: 1066.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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This paper presents a Model Predictive Control-based Energy Management System for compliance with the day-ahead power dispatching plan of a hybrid power plant connected to the Guadeloupe Island electrical grid. The hybrid power plant combines a wind farm and a Li-ION battery energy storage system. The proposed EMS handles several operation rules, in order to solve the optimization problem while considering the production forecasting data as well as the battery lifespan. A simulation study is implemented via PowerFactory and Matlab.

ACS Style

A. Aguilera-Gonzalez; R. Lopez-Rodriguez; I. Vechiu; S. Bacha. Model Predictive Control for Optimal Energy Management of an Island Wind Storage Hybrid Power Plant. IFAC-PapersOnLine 2020, 53, 12841 -12846.

AMA Style

A. Aguilera-Gonzalez, R. Lopez-Rodriguez, I. Vechiu, S. Bacha. Model Predictive Control for Optimal Energy Management of an Island Wind Storage Hybrid Power Plant. IFAC-PapersOnLine. 2020; 53 (2):12841-12846.

Chicago/Turabian Style

A. Aguilera-Gonzalez; R. Lopez-Rodriguez; I. Vechiu; S. Bacha. 2020. "Model Predictive Control for Optimal Energy Management of an Island Wind Storage Hybrid Power Plant." IFAC-PapersOnLine 53, no. 2: 12841-12846.

Conference paper
Published: 01 September 2019 in 2019 International Conference on Smart Energy Systems and Technologies (SEST)
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In this paper, an energy management system (EMS) of a grid-connected hybrid system, based on MPC methodology is presented. This approach is a control system based on the storage system model, which predicts the future output behavior of the storage system handling the power balance between the electricity supplied by the hybrid plant and the demand. This EMS aims to minimize electricity consumption from the grid by producing and consuming as much as possible renewable energy. To comply this, the hybrid power plant combines photovoltaic panels (PV), Li-Ion batteries and a chain of hydrogen (fuel cell, electrolyzer and hydrogen tank). The proposed control strategy has been implemented and tested using the Matlab/Simulink environment.

ACS Style

Adriana Aguilera Gonzalez; Matias Bottarini; Ionel Vechiu; Luc Gautier; Ludovic Ollivier; Loic Larre. Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant. 2019 International Conference on Smart Energy Systems and Technologies (SEST) 2019, 1 -6.

AMA Style

Adriana Aguilera Gonzalez, Matias Bottarini, Ionel Vechiu, Luc Gautier, Ludovic Ollivier, Loic Larre. Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant. 2019 International Conference on Smart Energy Systems and Technologies (SEST). 2019; ():1-6.

Chicago/Turabian Style

Adriana Aguilera Gonzalez; Matias Bottarini; Ionel Vechiu; Luc Gautier; Ludovic Ollivier; Loic Larre. 2019. "Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant." 2019 International Conference on Smart Energy Systems and Technologies (SEST) , no. : 1-6.

Conference paper
Published: 01 October 2018 in 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
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In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant composed by a wind energy conversion system (WECS) and a LiION battery energy storage system (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles efficiently the battery's charge/discharge cycles and state-of-charge (SoC) to meet the generation commitments while considering the BESS lifespan. The energy management system is tested via Matlab/Simulink software by using real wind data.

ACS Style

Adriana Aguilera-Gonzalez; Ionel Vechiu; Ruben H. Lopez Rodriguez; Seddik Bacha. MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant. 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) 2018, 738 -743.

AMA Style

Adriana Aguilera-Gonzalez, Ionel Vechiu, Ruben H. Lopez Rodriguez, Seddik Bacha. MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant. 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA). 2018; ():738-743.

Chicago/Turabian Style

Adriana Aguilera-Gonzalez; Ionel Vechiu; Ruben H. Lopez Rodriguez; Seddik Bacha. 2018. "MPC Energy Management System For A Grid-Connected Renewable Energy/Battery Hybrid Power Plant." 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) , no. : 738-743.

Research article
Published: 25 August 2017 in Journal of Intelligent Material Systems and Structures
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This article presents the design and control of a two-link lightweight robotic arm using shape memory alloy wires as actuators. Both a single-wire actuated system and an antagonistic configuration system are tested in open and closed loops. The mathematical model of the shape memory alloy wire, as well as the kinematics and dynamics of the robotic arm, are presented. The operational space control of the robotic arm is performed using a joint space control in the inner loop and closed-loop inverse kinematics in the outer loop. In order to choose the best joint space control approach, a comparative study of four different control approaches (proportional derivative, sliding mode, adaptive, and adaptive sliding mode control) is carried out for the proposed model. From this comparative analysis, the adaptive controller was chosen to perform operational space control. This control helps us to perform accurate positioning of the end-effector of shape memory alloy wire–based robotic arm. The complete operational space control was successfully tested through simulation studies performing position reference tracking in the end-effector space. Through simulation studies, the proposed control solution is successfully verified to control the hysteretic robotic arm.

ACS Style

Serket Quintanar-Guzmán; Somasundar Kannan; Adriana Aguilera-González; Miguel A. Olivares-Mendez; Holger Voos. Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: A comparative study. Journal of Intelligent Material Systems and Structures 2017, 30, 1368 -1384.

AMA Style

Serket Quintanar-Guzmán, Somasundar Kannan, Adriana Aguilera-González, Miguel A. Olivares-Mendez, Holger Voos. Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: A comparative study. Journal of Intelligent Material Systems and Structures. 2017; 30 (9):1368-1384.

Chicago/Turabian Style

Serket Quintanar-Guzmán; Somasundar Kannan; Adriana Aguilera-González; Miguel A. Olivares-Mendez; Holger Voos. 2017. "Operational space control of a lightweight robotic arm actuated by shape memory alloy wires: A comparative study." Journal of Intelligent Material Systems and Structures 30, no. 9: 1368-1384.

Conference paper
Published: 01 December 2016 in 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
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A meal-estimation algorithm is developed based on an extended mathematical model of the glucose-insulin system. The proposed model describes the dynamics of glucose levels in blood and in subcutaneous layer, as well as the meal intake which is considered an unknown input of the system. This model seeks to represent in a more realistic manner, the pancreas malfunction in patients with Type 1 Diabetes Mellitus. Based on model, a non-linear high gain observer (NHGO) with a sliding mode is designed in order to estimate the unmeasured states and the external disturbances of the system. This scheme is useful to maintain frequent monitoring of glucose levels and any changes in its behaviour. The unknown input or disturbance is estimated through the sliding mode based only the estimation error. Data from a real patient is used to evaluate the effectiveness of the proposed estimation scheme.

ACS Style

Adriana Aguilera Gonzalez; Holger Voos; Mohamed Darouach. States and unknown input estimation via non-linear sliding mode high-gain observers for a glucose-insulin system. 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2016, 388 -393.

AMA Style

Adriana Aguilera Gonzalez, Holger Voos, Mohamed Darouach. States and unknown input estimation via non-linear sliding mode high-gain observers for a glucose-insulin system. 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 2016; ():388-393.

Chicago/Turabian Style

Adriana Aguilera Gonzalez; Holger Voos; Mohamed Darouach. 2016. "States and unknown input estimation via non-linear sliding mode high-gain observers for a glucose-insulin system." 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) , no. : 388-393.

Conference paper
Published: 01 March 2015 in 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)
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This paper presents a new approach to represent the glucose and insulin levels on patients with diabetes type 1 based on the well-known minimal model. In this work a new mathematical model is proposed which attempts modeling properly the malfunction of the pancreas. The model takes into account both: the description of the glucose level in the subcutaneous layer and a meal disturbance term. Further, also has an additional term that represents the insulin in a more realistic approach. In silico simulations are used for first evaluations of the proposed model effectiveness, considering variations on quantity of meals and of insulin supplied.

ACS Style

Adriana Aguilera Gonzalez; Holger Voos; Mohamed Darouach. Glucose-Insulin System Based on Minimal Model: A Realistic Approach. 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015, 55 -60.

AMA Style

Adriana Aguilera Gonzalez, Holger Voos, Mohamed Darouach. Glucose-Insulin System Based on Minimal Model: A Realistic Approach. 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim). 2015; ():55-60.

Chicago/Turabian Style

Adriana Aguilera Gonzalez; Holger Voos; Mohamed Darouach. 2015. "Glucose-Insulin System Based on Minimal Model: A Realistic Approach." 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) , no. : 55-60.

Conference paper
Published: 01 June 2014 in 2014 American Control Conference
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In this paper a type of proportional integral fuzzy observers (PI-Fuzzy Observer) based on Takagi-Sugeno Fuzzy (TS-Fuzzy) Descriptor models is proposed with application in a real system. The state and unknown input estimation problems for a diesel engine air-path system is solved by using a PI-Fuzzy Observer. The proposed approach offers all the degrees of observer design and also, sufficient stability conditions and the observer gains that are obtained starting from the theory of linear matrix inequalities (LMIs). A TS-Fuzzy descriptor model of the process is developed in order to facilitate the design of the PI-Fuzzy Observer. The obtained results indicate that the observer is able to accurately reconstruct the states and the unknown inputs of the system.

ACS Style

A. Aguilera-Gonzalez; J. Bosche; A. El Hajjaji. Unknown input estimation for diesel engine based on Takagi-Sugeno Fuzzy Descriptor systems. 2014 American Control Conference 2014, 3159 -3164.

AMA Style

A. Aguilera-Gonzalez, J. Bosche, A. El Hajjaji. Unknown input estimation for diesel engine based on Takagi-Sugeno Fuzzy Descriptor systems. 2014 American Control Conference. 2014; ():3159-3164.

Chicago/Turabian Style

A. Aguilera-Gonzalez; J. Bosche; A. El Hajjaji. 2014. "Unknown input estimation for diesel engine based on Takagi-Sugeno Fuzzy Descriptor systems." 2014 American Control Conference , no. : 3159-3164.

Conference paper
Published: 01 June 2013 in 21st Mediterranean Conference on Control and Automation
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This paper addresses the modeling and control of the air path system of diesel engines. We propose robust control for the diesel engine equipped with Exhaust Gas Recirculation (EGR) and Variable Geometry Turbocharger (VGT) systems. The goal is to control carefully the air flow for a diesel engine to reduce emissions of pollutant particles and fuel consumption. A mean value model of the air loop is considered and rewriten using fuzzy Takagi-Sugeno (TS) approach. A control strategy based in Lyapunov function and pole placement in LMI regions (Linear Matrix Inequalities) is developed. It takes into account the variation of the engine speed. The goal is to design a robust control law that tracks some reference signals. The effectiveness of the proposed fuzzy tracking controllers in the system diesel engine is demonstrated through numerical simulations.

ACS Style

I. Abidi; J. Bosche; A. El Hajjaji; A. Aguilera-Gonzalez. Fuzzy robust tracking control with pole placement for a Turbocharged diesel engine. 21st Mediterranean Conference on Control and Automation 2013, 1417 -1422.

AMA Style

I. Abidi, J. Bosche, A. El Hajjaji, A. Aguilera-Gonzalez. Fuzzy robust tracking control with pole placement for a Turbocharged diesel engine. 21st Mediterranean Conference on Control and Automation. 2013; ():1417-1422.

Chicago/Turabian Style

I. Abidi; J. Bosche; A. El Hajjaji; A. Aguilera-Gonzalez. 2013. "Fuzzy robust tracking control with pole placement for a Turbocharged diesel engine." 21st Mediterranean Conference on Control and Automation , no. : 1417-1422.

Conference paper
Published: 01 June 2013 in 21st Mediterranean Conference on Control and Automation
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In this work a Parallel Distributed Compensation (PDC) Fuzzy controller is applied to regulate the intake and exhaust manifold pressures in a four-cylinder diesel engine with Exhaust Gas Recirculation (EGR). The control strategy implements a feedback controller that generates commands to regulate the mass flow rates and to force two internal variables (pressures) to follow the reference. The PDC-Fuzzy controller is based on a structure of the Takagi-Sugeno (TS) Fuzzy descriptor model, which permits to represent adequately the nonlinear multivariable structure of the process taking into account the constraints on inputs and states. The proposed model is based on a transformation of scalar functions that circumvents the difficulties inherent in the nonlinearity. The PDC-Fuzzy controller is designed using new conditions on Linear Matrix Inequialities (LMI) constraints without invertibility of the Lyapunov matrix to guarantee a robust stability of the diesel engine. The performance of the tracking control strategy is tested in simulations on a four-cylinder diesel engine.

ACS Style

A. Aguilera-Gonzalez; J. Bosche; A. El Hajjaji; I. Abidi. Feedback design air-path control on a diesel engine based on Takagi-Sugeno Fuzzy descriptor systems. 21st Mediterranean Conference on Control and Automation 2013, 1544 -1549.

AMA Style

A. Aguilera-Gonzalez, J. Bosche, A. El Hajjaji, I. Abidi. Feedback design air-path control on a diesel engine based on Takagi-Sugeno Fuzzy descriptor systems. 21st Mediterranean Conference on Control and Automation. 2013; ():1544-1549.

Chicago/Turabian Style

A. Aguilera-Gonzalez; J. Bosche; A. El Hajjaji; I. Abidi. 2013. "Feedback design air-path control on a diesel engine based on Takagi-Sugeno Fuzzy descriptor systems." 21st Mediterranean Conference on Control and Automation , no. : 1544-1549.

Article
Published: 18 November 2011 in International Journal of Robust and Nonlinear Control
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In this work, a generalized design scheme for the output feedback regulation of a special type of systems with bounded inputs is proposed. It gives rise to a simple dynamic controller that guarantees the regulation objective avoiding input saturation, for any initial condition within a specific set that may comprehend the whole state space and that does not require any additional system data (apart from the output variable). Several processes, like double-pipe heat exchangers, bioreactors, and binary distillation columns, are shown to be part of the type of systems that may be regulated through the developed methodology. The efficiency of the proposed scheme is corroborated through experimental and simulation results. Copyright © 2011 John Wiley & Sons, Ltd.

ACS Style

A. Zavala-Río; A. Aguilera-González; A. Martínez-Sibaja; C. M. Astorga-Zaragoza; Manuel Adam Medina. A generalized design methodology for the output feedback regulation of a special type of systems with bounded inputs. International Journal of Robust and Nonlinear Control 2011, 23, 262 -283.

AMA Style

A. Zavala-Río, A. Aguilera-González, A. Martínez-Sibaja, C. M. Astorga-Zaragoza, Manuel Adam Medina. A generalized design methodology for the output feedback regulation of a special type of systems with bounded inputs. International Journal of Robust and Nonlinear Control. 2011; 23 (3):262-283.

Chicago/Turabian Style

A. Zavala-Río; A. Aguilera-González; A. Martínez-Sibaja; C. M. Astorga-Zaragoza; Manuel Adam Medina. 2011. "A generalized design methodology for the output feedback regulation of a special type of systems with bounded inputs." International Journal of Robust and Nonlinear Control 23, no. 3: 262-283.

Journal article
Published: 09 April 2010 in Revista Iberoamericana de Automática e Informática industrial
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Revista Iberoamericana de Automática e Informática Industrial

ACS Style

A. Aguilera-González; A. Téllez-Anguiano; C. M. Astorga-Zaragoza; David Juarez-Romero; E. Quintero-Mármol. Observador de Alta Ganancia Constante para una Clase de Sistema No Lineal de Forma Triangular. Revista Iberoamericana de Automática e Informática industrial 2010, 7, 31 -38.

AMA Style

A. Aguilera-González, A. Téllez-Anguiano, C. M. Astorga-Zaragoza, David Juarez-Romero, E. Quintero-Mármol. Observador de Alta Ganancia Constante para una Clase de Sistema No Lineal de Forma Triangular. Revista Iberoamericana de Automática e Informática industrial. 2010; 7 (2):31-38.

Chicago/Turabian Style

A. Aguilera-González; A. Téllez-Anguiano; C. M. Astorga-Zaragoza; David Juarez-Romero; E. Quintero-Mármol. 2010. "Observador de Alta Ganancia Constante para una Clase de Sistema No Lineal de Forma Triangular." Revista Iberoamericana de Automática e Informática industrial 7, no. 2: 31-38.