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La estimación de estados no observables de un proceso es importante cuando se aplican técnicas de control automático basadas en el espacio de estados. El diseño y uso de estos controladores conlleva suponer que los valores de los estados se podrán obtener de una u otra forma. Cuando todos los estados son medibles, no existe la necesidad de aplicar observadores. El caso de plantas solares cilindro-parabólicas usando modelos de parámetros distribuidos presenta el problema de no poder medir todos los valores de los estados con sensores. En este trabajo se presenta un observador basado en un sistema de inferencia borrosa para estimar los perfiles de temperatura de los lazos que componen el campo solar. Se aplica una técnica de reducción de complejidad basada en el análisis de componentes principales funcionales para que el estimador sea realizable en la práctica sin ocupar mucha memoria o consumir demasiado tiempo tanto en la computacion del algoritmo como en la programación en dispositivos industriales.
J. M. Escaño; A. J. Sánchez; M. Ceballos; A. J. Gallego; E. F. Camacho. Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico. Revista Iberoamericana de Automática e Informática industrial 2021, 18, 138 -149.
AMA StyleJ. M. Escaño, A. J. Sánchez, M. Ceballos, A. J. Gallego, E. F. Camacho. Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico. Revista Iberoamericana de Automática e Informática industrial. 2021; 18 (2):138-149.
Chicago/Turabian StyleJ. M. Escaño; A. J. Sánchez; M. Ceballos; A. J. Gallego; E. F. Camacho. 2021. "Estimador Neuro-Borroso, con reducción de complejidad, de las temperaturas de un campo solar cilindro-parabólico." Revista Iberoamericana de Automática e Informática industrial 18, no. 2: 138-149.
One of the main control objectives in parabolic trough solar thermal plants is to maintain the outlet temperature around an operating point. For this, a synthetic oil flow is used as the main control variable. However, another crucial system of the plant is the defocusing safety system of the collectors to prevent the oil temperature from exceeding an upper limit to prevent its degradation. This will occur, in general, when the oil flow reaches the maximum possible and is not able to regulate anymore the temperature. This mechanism is generally applied based on heuristic rules and partial or total defocus, which leads to a large number of actuator actions and temperature oscillations. In commercial plants, this defocus mechanism is applied firstly to the last collector, and as necessary, other collectors are defocused. In addition, it must be taken into account that loops’ parameters will be, in general, different. In this work, a FeedForward-based strategy is proposed to control the outlet temperature of collectors 1, 2 and 3 of a solar plant using the defocus angle as the manipulated variable. It is also proposed to dynamically obtain the set-point temperatures for the first 3 collectors through an optimization based on the concentrated parameter model. The results of the simulations are presented in different situations where the good performance of the strategy is observed. It is shown how the dynamic modification of the set-points can avoid possible energy losses on occasions where a fixed set-point of temperature is not the optimal option.
A.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. Hierarchical set-point optimization and feedforward strategy for collector defocusing of a solar plant. Solar Energy 2021, 220, 282 -294.
AMA StyleA.J. Sánchez, A.J. Gallego, J.M. Escaño, E.F. Camacho. Hierarchical set-point optimization and feedforward strategy for collector defocusing of a solar plant. Solar Energy. 2021; 220 ():282-294.
Chicago/Turabian StyleA.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. 2021. "Hierarchical set-point optimization and feedforward strategy for collector defocusing of a solar plant." Solar Energy 220, no. : 282-294.
Several types of high voltage direct current (HVDC) breakers have been introduced and commercialized. Each of them has advantages and disadvantages. Among them, the hybrid HVDC breaker is highly successful. One of the most important concerns that the hybrid HVDC breaker has faced is high power loss throughout its fault current breaking process. The hybrid HVDC breaker comprises a high voltage bidirectional main HVDC breaker. A significant number of electronic switches need to be connected in a series where anti-parallel diodes are essentially embraced. During fault inception, a number of series solid-state switches and a number of series diodes dramatically increase the power loss of the main breaker. This study, firstly, studies the power loss of the hybrid HVDC breaker and later develops a structure of a full-bridge hybrid breaker (FBHB) to reduce the losses of the current structure both in the normal and fault protection states. In this paper simulations are done based on PSCAD. In addition to the analytical study and simulations, we show that the developed structure substantially decreases the amount of power lost during the normal operation and fault current breaking stage.
Morteza Hesami; Ali Bakhshi; Sheyda Mousavi; Kumars Rouzbehi; Juan Escaño. HVDC Breaker Power Loss Reduction by Bridge-Type Hybrid Breakers. Energies 2021, 14, 1526 .
AMA StyleMorteza Hesami, Ali Bakhshi, Sheyda Mousavi, Kumars Rouzbehi, Juan Escaño. HVDC Breaker Power Loss Reduction by Bridge-Type Hybrid Breakers. Energies. 2021; 14 (6):1526.
Chicago/Turabian StyleMorteza Hesami; Ali Bakhshi; Sheyda Mousavi; Kumars Rouzbehi; Juan Escaño. 2021. "HVDC Breaker Power Loss Reduction by Bridge-Type Hybrid Breakers." Energies 14, no. 6: 1526.
This article proposes a new approach to the operation of unbalanced Active Distribution Systems (ADS) using an economic dispatch optimisation model for Active Distribution Systems Management (ADSM). The model proposes a two-level control strategy. The first one poses an optimisation problem with the objective of minimising total active power losses in the ADS and the second one proposes an algorithm that controls the position of the taps of three-phase on-load tap-changer (OLTC) transformers to ensure compliance with the technical constraints imposed by the Distribution System Operator (DSO). The optimisation problem is solved by MATLAB Ⓡ and DIgSILENT PowerFactory Ⓡ for power systems static simulations. This paper includes a novel peer to peer communication framework between MATLAB Ⓡ /DIgSILENT Ⓡ . The control and optimisation strategy is validated on the IEEE 34-Node Distribution Test Feeder. This network incorporates balanced and unbalanced three-phase loads, single-phase loads in the different phases, and two-phase loads. In this scientific paper, photovoltaic (PV) and wind power generation (WT) have been integrated to test feeder operation, with the support of battery energy storage systems (BESS). The correct operation of the proposed ADSM is demonstrated using numerical simulation on five scenarios considering several configurations of the renewable generation units and the batteries. The strategy has also been validated in a more extensive distribution network, proving its good performance.
Lazaro Alvarado-Barrios; Cesar Alvarez-Arroyo; Juan Manuel Escano; Francisco M. Gonzalez-Longatt; Jose Luis Martinez-Ramos. Two-level optimisation and control strategy for Unbalanced Active Distribution Systems Management. IEEE Access 2020, 8, 1 -1.
AMA StyleLazaro Alvarado-Barrios, Cesar Alvarez-Arroyo, Juan Manuel Escano, Francisco M. Gonzalez-Longatt, Jose Luis Martinez-Ramos. Two-level optimisation and control strategy for Unbalanced Active Distribution Systems Management. IEEE Access. 2020; 8 ():1-1.
Chicago/Turabian StyleLazaro Alvarado-Barrios; Cesar Alvarez-Arroyo; Juan Manuel Escano; Francisco M. Gonzalez-Longatt; Jose Luis Martinez-Ramos. 2020. "Two-level optimisation and control strategy for Unbalanced Active Distribution Systems Management." IEEE Access 8, no. : 1-1.
In solar thermal plants, as in any industrial process, it is important to maintain good control of the system and, more importantly, to have a good security system to avoid exceeding the safety limits of the components and avoid their degradation. In the case of solar thermal plants, one of the main components is the Heat Transfer Fluid (HTF), which must be kept below a maximum temperature. Although the temperature of the fluid, in general, will be controlled by modifying the flow-rate, when the plant is saturated HTF temperature is kept under limits by defocusing of the collectors. In this paper, an analysis of the control of the defocus control applied to the different collectors is presented. A Model Predictive Control technique will be applied to control the temperature by defocusing two and four collectors in different situations. It is shown how controlling the temperature by defocusing only two collectors is not sufficient in all situations and that controlling by defocusing the four collectors solves this problem in addition to maintaining the defocus actions in areas with high control authority.
A.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. Parabolic Trough Collector Defocusing Analysis: Two control stages vs four control stages. Solar Energy 2020, 209, 30 -41.
AMA StyleA.J. Sánchez, A.J. Gallego, J.M. Escaño, E.F. Camacho. Parabolic Trough Collector Defocusing Analysis: Two control stages vs four control stages. Solar Energy. 2020; 209 ():30-41.
Chicago/Turabian StyleA.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. 2020. "Parabolic Trough Collector Defocusing Analysis: Two control stages vs four control stages." Solar Energy 209, no. : 30-41.
This work has as main objective the development of a soft-sensor to classify, in real time, the behaviors of drivers when they are at the controls of a vehicle. Efficient classification of drivers’ behavior while driving, using only the measurements of the sensors already incorporated in the vehicles and without the need to add extra hardware (smart phones, cameras, etc.), is a challenge. The main advantage of using only the data center signals of modern vehicles is economical. The classification of the driving behavior and the warning to the driver of dangerous behaviors without the need to add extra hardware (and their software) to the vehicle, would allow the direct integration of these classifiers into the current vehicles without incurring a greater cost in the manufacture of the vehicles and therefore be an added value. In this work, the classification is obtained based only on speed, acceleration and inertial measurements which are already present in many modern vehicles. The proposed algorithm is based on a structure made by several Neurofuzzy systems with the combination of projected data in components of various Principal Component Analysis. A comparison with several types of classical classifying algorithms has been made.
Juan Manuel Escano; Miguel A. Ridao-Olivar; Carmelina Ierardi; Adolfo J. Sanchez; Kumars Rouzbehi. Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components. IEEE Sensors Journal 2020, 20, 11454 -11462.
AMA StyleJuan Manuel Escano, Miguel A. Ridao-Olivar, Carmelina Ierardi, Adolfo J. Sanchez, Kumars Rouzbehi. Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components. IEEE Sensors Journal. 2020; 20 (19):11454-11462.
Chicago/Turabian StyleJuan Manuel Escano; Miguel A. Ridao-Olivar; Carmelina Ierardi; Adolfo J. Sanchez; Kumars Rouzbehi. 2020. "Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components." IEEE Sensors Journal 20, no. 19: 11454-11462.
Adolfo J. Sánchez; Juan Manuel Escaño; Carlos Bordons; Eduardo F. Camacho. Estimador borroso de una planta solar cilindro-parabólica. Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018 2020, 1 .
AMA StyleAdolfo J. Sánchez, Juan Manuel Escaño, Carlos Bordons, Eduardo F. Camacho. Estimador borroso de una planta solar cilindro-parabólica. Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018. 2020; ():1.
Chicago/Turabian StyleAdolfo J. Sánchez; Juan Manuel Escaño; Carlos Bordons; Eduardo F. Camacho. 2020. "Estimador borroso de una planta solar cilindro-parabólica." Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018 , no. : 1.
This paper presents a new self-tuning loop for a bidirectional dual-active bridge (DAB) series resonant converter (SRC). For different loading conditions, the two active bridges can be controlled with a minimum time displacement between them to assure zero voltage switching (ZVS) and minimum circulation current conditions. The tuning loop can instantly reverse the power direction with a fast dynamics. Moreover, the tuning loop is not sensitive to series resonant tank tolerances and deviations, which makes it a robust solution for power tuning of the SRCs. For simplicity, the power is controlled based on the power-frequency control method with a fixed time displacement between the active bridges. The main design criteria of the bidirectional SRC are the time displacement, operating frequency bandwidth, and the minimum and maximum power, which are simply derived and formulated based on the self-tuning loop’s parameters. Based on the parameters of the tuning loop, a simplified power equation and power control method is proposed for DAB-SRCs. The proposed control method is simulated in static and dynamic conditions for different loadings. The analysis and simulation results show the effectiveness of the new tuning method.
Alireza Namadmalan; Kumars Rouzbehi; Juan Manuel Escaño; Carlos Bordons. Dual-Active Bridge Series Resonant Electric Vehicle Charger: A Self-Tuning Method. Electronics 2020, 9, 253 .
AMA StyleAlireza Namadmalan, Kumars Rouzbehi, Juan Manuel Escaño, Carlos Bordons. Dual-Active Bridge Series Resonant Electric Vehicle Charger: A Self-Tuning Method. Electronics. 2020; 9 (2):253.
Chicago/Turabian StyleAlireza Namadmalan; Kumars Rouzbehi; Juan Manuel Escaño; Carlos Bordons. 2020. "Dual-Active Bridge Series Resonant Electric Vehicle Charger: A Self-Tuning Method." Electronics 9, no. 2: 253.
In this paper, a new control approach using an optimal linear control with prescribed degree of stability for modular multi-level converters (MMC) is presented and analyzed. The proposed controller relies on a linear quadratic regulator with integral action which brings the ability of state variable reference tracking for modular multi-level converters. Since MMC is a complex system with several state variables, a unified control system design for this system is vital. The proposed controller of this study is designed to obtain wider stability margin thanks to the implementation of prescribed degree of stability concept to minimize the quadratic performance index of the control structure. By means of this method, the poles of the closed-loop system will be shifted to the desired places in the left half side of the S-plane. The main advantages of this control strategy compared to previous methods are that it will be possible to control the state of energy for each phase separately, while there will be superior tolerance to nonlinearities and the enhanced stability margin with less sensitivity to plant-parameter variations. The performance of the designed controller is verified through MATLABTM simulations (The MathWorks, Natick, MA, USA) with the nonlinear model of MMC.
Elyas Rakhshani; Kumars Rouzbehi; Juan Manuel Escaño; Jose Rueda Torres. Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability. Electric Power Components and Systems 2020, 48, 30 -41.
AMA StyleElyas Rakhshani, Kumars Rouzbehi, Juan Manuel Escaño, Jose Rueda Torres. Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability. Electric Power Components and Systems. 2020; 48 (1-2):30-41.
Chicago/Turabian StyleElyas Rakhshani; Kumars Rouzbehi; Juan Manuel Escaño; Jose Rueda Torres. 2020. "Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability." Electric Power Components and Systems 48, no. 1-2: 30-41.
In this paper, a novel model predictive control strategy, with a 24-h prediction horizon, is proposed to reduce the operational cost of microgrids. To overcome the complexity of the optimization problems arising from the operation of the microgrid at each step, an adaptive evolutionary strategy with a satisfactory trade-off between exploration and exploitation capabilities was added to the model predictive control. The proposed strategy was evaluated using a representative microgrid that includes a wind turbine, a photovoltaic plant, a microturbine, a diesel engine, and an energy storage system. The achieved results demonstrate the validity of the proposed approach, outperforming a global scheduling planner-based on a genetic algorithm by 14.2% in terms of operational cost. In addition, the proposed approach also better manages the use of the energy storage system.
Álvaro Rodríguez Del Nozal; Daniel Gutiérrez Reina; Lázaro Alvarado-Barrios; Alejandro Tapia; Juan Manuel Escaño. A MPC Strategy for the Optimal Management of Microgrids Based on Evolutionary Optimization. Electronics 2019, 8, 1371 .
AMA StyleÁlvaro Rodríguez Del Nozal, Daniel Gutiérrez Reina, Lázaro Alvarado-Barrios, Alejandro Tapia, Juan Manuel Escaño. A MPC Strategy for the Optimal Management of Microgrids Based on Evolutionary Optimization. Electronics. 2019; 8 (11):1371.
Chicago/Turabian StyleÁlvaro Rodríguez Del Nozal; Daniel Gutiérrez Reina; Lázaro Alvarado-Barrios; Alejandro Tapia; Juan Manuel Escaño. 2019. "A MPC Strategy for the Optimal Management of Microgrids Based on Evolutionary Optimization." Electronics 8, no. 11: 1371.
Hybrid HVDC links incorporate both Line Commutated Converters (LCC) and Voltage Source Converters (VSC) systems, thereby gathering the benefits of both technologies. Supplementary Power Oscillation Damping (POD) controllers can be added to both LCCs and VSCs to help enhance the power system stability against disturbances, such as short circuits. However POD controller tuning can be a delicate process, due to the highly non-linear and complex nature of the involved power system, which might induce adverse interactions leading to a reduced damping. This paper proposes the application of the Simulated Annealing Algorithm (SAA) for tuning the POD controllers parameters, with the purpose of optimizing the performance of POD controllers in the power system. The damping performance is evaluated in case of multiple disturbances in a test power system. The results show the ability of the proposed technique to enhance the performance of the POD controllers under various operating conditions.
Harold R. Chamorro; Roozbeh Torkzadeh; Omar Kotb; Kumars Rouzbehi; Juan Manuel Escaño; Francisco Gonzalez-Longatt; Oriol Gomis Bellmunt; Lucian Toma; Vijay K. Sood. On the Optimization of Damping Enhancement in a Power System with a Hybrid HVDC Link. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) 2019, 1 -5.
AMA StyleHarold R. Chamorro, Roozbeh Torkzadeh, Omar Kotb, Kumars Rouzbehi, Juan Manuel Escaño, Francisco Gonzalez-Longatt, Oriol Gomis Bellmunt, Lucian Toma, Vijay K. Sood. On the Optimization of Damping Enhancement in a Power System with a Hybrid HVDC Link. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). 2019; ():1-5.
Chicago/Turabian StyleHarold R. Chamorro; Roozbeh Torkzadeh; Omar Kotb; Kumars Rouzbehi; Juan Manuel Escaño; Francisco Gonzalez-Longatt; Oriol Gomis Bellmunt; Lucian Toma; Vijay K. Sood. 2019. "On the Optimization of Damping Enhancement in a Power System with a Hybrid HVDC Link." 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) , no. : 1-5.
A.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. Thermal balance of large scale parabolic trough plants: A case study. Solar Energy 2019, 190, 69 -81.
AMA StyleA.J. Sánchez, A.J. Gallego, J.M. Escaño, E.F. Camacho. Thermal balance of large scale parabolic trough plants: A case study. Solar Energy. 2019; 190 ():69-81.
Chicago/Turabian StyleA.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. 2019. "Thermal balance of large scale parabolic trough plants: A case study." Solar Energy 190, no. : 69-81.
In this paper, a new fuzzy logic-based control-design technique is presented. The method aims at reducing the complexity of Takagi-Sugeno Fuzzy systems via the reduction of fuzzy rules. This reduction is obtained by finding a function basis via the Functional Principal Component Analysis, and then the model is used for Model Predictive Control (MPC). This procedure is systematic, and eventually leads to feasible low-cost microcontroller-based implementations, which has become a generic need in the era of IoT. In order to validate the results, two experimental setups have been controlled using these principles. The first of these, a mechanical pendulum, presents nonlinear dynamics that suggests the use of linear discrete models at specific operating points. In the second, a pilot plant implementing an industrial process with a chemical reactor and a heat exchanger, presents nonlinear multivariate dynamics that are successfully handled with the Fuzzy MPC Controller.
Juan M. Escaño; C. Bordons; K. Witheephanich; F. Gómez-Estern. Fuzzy Model Predictive Control: Complexity Reduction for Implementation in Industrial Systems. International Journal of Fuzzy Systems 2019, 21, 2008 -2020.
AMA StyleJuan M. Escaño, C. Bordons, K. Witheephanich, F. Gómez-Estern. Fuzzy Model Predictive Control: Complexity Reduction for Implementation in Industrial Systems. International Journal of Fuzzy Systems. 2019; 21 (7):2008-2020.
Chicago/Turabian StyleJuan M. Escaño; C. Bordons; K. Witheephanich; F. Gómez-Estern. 2019. "Fuzzy Model Predictive Control: Complexity Reduction for Implementation in Industrial Systems." International Journal of Fuzzy Systems 21, no. 7: 2008-2020.
Solar energy for cooling systems has been widely used to fulfill the growing air conditioning demand. The advantage of this approach is based on the fact that the need of air conditioning is usually well correlated to solar radiation. These kinds of plants can work in different operation modes resulting on a hybrid system. The control approaches designed for this kind of plant have usually a twofold goal: (a) regulating the outlet temperature of the solar collector field and (b) choosing the operation mode. Since the operation mode is defined by a set of valve positions (discrete variables), the overall control problem is a nonlinear optimization problem which involves discrete and continuous variables. This problems are difficult to solve within the normal sampling times for control purposes (around 20–30 s). In this paper, a two layer control strategy is proposed. The first layer is a nonlinear model predictive controller for regulating the outlet temperature of the solar field. The second layer is a fuzzy algorithm which selects the adequate operation mode for the plant taken into account the operation conditions. The control strategy is tested on a model of the plant showing a proper performance.
Eduardo F. Camacho; Antonio J. Gallego; Juan M. Escaño; Adolfo J. Sánchez. Hybrid Nonlinear MPC of a Solar Cooling Plant. Energies 2019, 12, 2723 .
AMA StyleEduardo F. Camacho, Antonio J. Gallego, Juan M. Escaño, Adolfo J. Sánchez. Hybrid Nonlinear MPC of a Solar Cooling Plant. Energies. 2019; 12 (14):2723.
Chicago/Turabian StyleEduardo F. Camacho; Antonio J. Gallego; Juan M. Escaño; Adolfo J. Sánchez. 2019. "Hybrid Nonlinear MPC of a Solar Cooling Plant." Energies 12, no. 14: 2723.
Juan Manuel Escaño; Adolfo J. Sánchez; Kritchai Witheephanich; Samira Roshany-Yamchi; Carlos Bordons. Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system. Journal of Intelligent & Fuzzy Systems 2019, 37, 1287 -1298.
AMA StyleJuan Manuel Escaño, Adolfo J. Sánchez, Kritchai Witheephanich, Samira Roshany-Yamchi, Carlos Bordons. Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system. Journal of Intelligent & Fuzzy Systems. 2019; 37 (1):1287-1298.
Chicago/Turabian StyleJuan Manuel Escaño; Adolfo J. Sánchez; Kritchai Witheephanich; Samira Roshany-Yamchi; Carlos Bordons. 2019. "Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system." Journal of Intelligent & Fuzzy Systems 37, no. 1: 1287-1298.
This paper presents a type of solar thermal power plant and also studies the efficiency of the common type of this distributed generation resource. In order to improve the efficiency of the power station, several techniques are studied such as the combined cycle plant, the thermoelectric generator and the intelligent control application. The thermodynamic analysis of the power plant and the performance of the equipment with an intelligent control system are validated by the developed experimental prototype.
Amir Heidary; S. Mahdi Mousavi; Kumars Rouzbehi; Juan Manuel Escano. Modelling and control of a Concentrating Solar Power Plant prototype. 2019 30th Irish Signals and Systems Conference (ISSC) 2019, 1 -6.
AMA StyleAmir Heidary, S. Mahdi Mousavi, Kumars Rouzbehi, Juan Manuel Escano. Modelling and control of a Concentrating Solar Power Plant prototype. 2019 30th Irish Signals and Systems Conference (ISSC). 2019; ():1-6.
Chicago/Turabian StyleAmir Heidary; S. Mahdi Mousavi; Kumars Rouzbehi; Juan Manuel Escano. 2019. "Modelling and control of a Concentrating Solar Power Plant prototype." 2019 30th Irish Signals and Systems Conference (ISSC) , no. : 1-6.
The estimation of unobservable states of a process is important when using control techniques that assume, said a priori, known values. The controllers based on the state space present good behavior and efficiency, even when the dynamics of the process are non-linear. One of the processes with non-linear dynamics and in which not all the states are observable is the case of parabolic trough solar plants. In this work an observer is presented, based on a fuzzy inference system, for the estimation of the temperature profiles of the loops that make up the solar field. This is a English translation of an earlier work presented in the XXXIX Spanish workshop in Automatic Control [15].
Adolfo J. Sanchez; Juan Manuel Escaño; Carlos Bordons; Eduardo F. Camacho. Fuzzy based state observer of a solar trough field. 2019 30th Irish Signals and Systems Conference (ISSC) 2019, 1 -7.
AMA StyleAdolfo J. Sanchez, Juan Manuel Escaño, Carlos Bordons, Eduardo F. Camacho. Fuzzy based state observer of a solar trough field. 2019 30th Irish Signals and Systems Conference (ISSC). 2019; ():1-7.
Chicago/Turabian StyleAdolfo J. Sanchez; Juan Manuel Escaño; Carlos Bordons; Eduardo F. Camacho. 2019. "Fuzzy based state observer of a solar trough field." 2019 30th Irish Signals and Systems Conference (ISSC) , no. : 1-7.
This paper develops a data-driven strategy for identification and voltage control for DC-DC power converters. The proposed strategy does not require a pre-defined standard model of the power converters and only relies on power converter measurement data, including sampled output voltage and the duty ratio to identify a valid dynamic model for them over their operating regime. To derive the power converter model from the measurements, a local model network (LMN) is used, which is able to describe converter dynamics through some locally active linear sub-models, individually responsible for representing a particular operating regime of the power converters. Later, a local linear controller is established considering the identified LMN to generate the control signal (i.e., duty ratio) for the power converters. Simulation results for a stand-alone boost converter as well as a bidirectional converter in a test DC microgrid demonstrate merit and satisfactory performance of the proposed data-driven identification and control strategy. Moreover, comparisons to a conventional proportional-integral (PI) controllers demonstrate the merits of the proposed approach.
Kumars Rouzbehi; Arash Miranian; Juan Manuel Escaño; Elyas Rakhshani; Negin Shariati; Edris Pouresmaeil. A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid. Electronics 2019, 8, 493 .
AMA StyleKumars Rouzbehi, Arash Miranian, Juan Manuel Escaño, Elyas Rakhshani, Negin Shariati, Edris Pouresmaeil. A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid. Electronics. 2019; 8 (5):493.
Chicago/Turabian StyleKumars Rouzbehi; Arash Miranian; Juan Manuel Escaño; Elyas Rakhshani; Negin Shariati; Edris Pouresmaeil. 2019. "A Data-Driven Based Voltage Control Strategy for DC-DC Converters: Application to DC Microgrid." Electronics 8, no. 5: 493.
Commercial solar plants produce energy around a nominal operating point in which the solar field outlet temperature is high and close to the thermal limit of the heat transfer fluid. The main control of the temperature is carried out by means of the fluid flow-rate that circulates through the solar field. Defocusing the collectors is normally used as a safety mechanism to avoid exceeding the thermal limit. However, in situations in which the flow is saturated, the control of defocusing the collectors becomes of vital importance and is the system in charge of controlling the solar field outlet temperature. The paper presents an Adaptive State Space Model Predictive Control strategy with an incremental formulation to control the fourth and third collector defocus angles for field outlet temperature set-point tracking at the nominal operation point, avoiding the Heat Transfer Fluid temperature from exceeding the manufacturer thermal limit (oil degradation). The state space description uses an Unscented Kalman Filter for estimating the non-measurable states. A 50 MW parabolic solar trough plant nonlinear model has been used to design and validate the strategy. Simulation results are presented showing the advantages of using the proposed strategy.
A.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. Adaptive incremental state space MPC for collector defocusing of a parabolic trough plant. Solar Energy 2019, 184, 105 -114.
AMA StyleA.J. Sánchez, A.J. Gallego, J.M. Escaño, E.F. Camacho. Adaptive incremental state space MPC for collector defocusing of a parabolic trough plant. Solar Energy. 2019; 184 ():105-114.
Chicago/Turabian StyleA.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. 2019. "Adaptive incremental state space MPC for collector defocusing of a parabolic trough plant." Solar Energy 184, no. : 105-114.
Optimal operation of a solar plant is generally understood as a tracking of the optimal working temperatures which maximize the net electric power. However, a commercial solar plant may receive a limitation from the Transmission System Operator due to saturation of the electrical grid. In these situations the plant moves to an operation mode in which the objective is not maximum production but compliance with the orders of the Transmission System Operator. The paper proposes an Event-Based Gain Scheduling Generalized Predictive Control strategy for electric power production reference tracking when power limitations are imposed by the Transmission System Operator. Gain Scheduling Generalized Predictive Controllers are proposed to control fourth and third collector defocus in order to prevent heating fluid temperature from exceeding the limits of the manufacturer and therefore, avoid oil degradation. A 50 MW parabolic solar trough plant model has been used to design and validate the strategy. Simulation results are presented showing the advantages of using the proposed strategy.
A.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. Event-based MPC for defocusing and power production of a parabolic trough plant under power limitation. Solar Energy 2018, 174, 570 -581.
AMA StyleA.J. Sánchez, A.J. Gallego, J.M. Escaño, E.F. Camacho. Event-based MPC for defocusing and power production of a parabolic trough plant under power limitation. Solar Energy. 2018; 174 ():570-581.
Chicago/Turabian StyleA.J. Sánchez; A.J. Gallego; J.M. Escaño; E.F. Camacho. 2018. "Event-based MPC for defocusing and power production of a parabolic trough plant under power limitation." Solar Energy 174, no. : 570-581.