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Relevant bibliographies by topics / Model predictive direct power control (MPDPC)

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Academic literature on the topic 'Model predictive direct power control (MPDPC)'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Model predictive direct power control (MPDPC)"

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Sankar, R. S. Ravi, S. V. Jayaram Kumar, and K. K. Deepika. "Flexible Power Regulation of Grid-Connected Inverters for PV Systems Using Model Predictive Direct Power Control." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 3 (2016): 508. http://dx.doi.org/10.11591/ijeecs.v4.i3.pp508-519.

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<p>This paper presents a Model Predictive Direct Power Control (MPDPC) strategy for a grid-connected inverter used in a photovoltaic system, as found in many distributed generating installations. The controller uses a system model to predict the system behavior at each sampling instant. Using a cost function, the voltage vector with least power ripple is generated. The resultant voltage vector is applied during the next sampling period which gives flexible power regulation. The effectiveness of the proposed MPDPC strategy is verified using MATLAB/ SIMULINK. </p>

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Bohari, Azuwien Aida, Hui Hwang Goh, Agustiono Kurniawan Tonni, et al. "Predictive Direct Power Control for Dual-Active-Bridge Multilevel Inverter Based on Conservative Power Theory." Energies 13, no. 11 (2020): 2951. http://dx.doi.org/10.3390/en13112951.

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This paper explores the feasibility of multilevel dual-active bridge-inverter (DABMI) applications for grid-connected applications of a modern Model of Predictive Direct Power Control (MPDPC) based on the conservative power theory (CPT). In the case of unbalanced grid voltages, the objective of the study is to promote continued active and reactive energy in MPDPC without reducing efficiency such as transient response and current harmonics. The nature of the instantaneous p-q theory permits only one out of three control targets to be fulfilled. The proposed control approached directly regulates the instantaneous active and reactive power to achieve three particular control objectives namely sinusoidal and symmetrical grid current, cancelling twice of fundamental grid frequency reactive power ripples, and removing twice grid frequency active power ripple. The techniques of complicated Grid part sequence extraction are unnecessary and improved at no extra expense, as is the case with current MPDPC fault-tolerant approaches. The instantaneous power at the next sampling instant is predicted with the newly developed discrete-time model. Each possible switching state will then be evaluated in the cost function defined until the optimal state which lead to the minimum power errors is determined. In MATLAB/Simulink simulation, the proposed CPT-based MPDPC measures reliability and performance at balanced and unbalanced grid voltages then compared with the conventional and existing MPDPC The proposed method manages to achieve all of three control targets which generates sinusoidal grid currents and attenuates active and reactive power ripple of twice the grid frequency exactly at the same time without losing its critical efficiency including transient reaction and current harmonics.

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Hu, Shiyang, Guorong Liu, Nan Jin, and Leilei Guo. "Constant-Frequency Model Predictive Direct Power Control for Fault-Tolerant Bidirectional Voltage-Source Converter with Balanced Capacitor Voltage." Energies 11, no. 10 (2018): 2692. http://dx.doi.org/10.3390/en11102692.

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This paper proposes a constant-frequency model predictive direct power control (CF-MPDPC) method for a fault-tolerant bidirectional voltage-source converter (BVSC). The method can enhance the reliability and fault-tolerant operation capability of BVSCs in the condition of bridge-arm fault. Through the analysis of a fault-tolerant three-phase four-switch (TPFS) structure and the voltage vectors in the αβ stationary frame, the predictive power model and DC-link midpoint voltage offset suppression are established. According to model-predictive theory, fault-tolerant TPFS, and multivector control, the CF-MPDPC method for fault-tolerant BVSC is presented. The method realizes direct power control based on three output vectors with constant frequency, which can track the optimal vector more accurately and reduce current harmonics. Furthermore, the balanced control of DC-link capacitor voltages is also achieved by adding the term of DC-link midpoint voltage offset into the cost function. The balanced capacitor voltages protect the converter against the second faults caused by over-voltage operation of electrolytic capacitor. The simulation and experimental results prove that the fault-tolerant BVSC controlled by proposed method can maintain the continuous operation when the switching devices have fault. Low current harmonic content and stable output power exhibit good reliability and dynamic performance of the proposed CF-MPDPC for a fault-tolerant BVSC with a phase fault.

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Lei, Tao, Weiwei Tan, Guangsi Chen, and Delin Kong. "A Novel Robust Model Predictive Controller for Aerospace Three-Phase PWM Rectifiers." Energies 11, no. 9 (2018): 2490. http://dx.doi.org/10.3390/en11092490.

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This paper presents a novel Model Predictive Direct Power Control (MPDPC) approach for the pulse width modulation (PWM) rectifiers in the Aircraft Alternating Current Variable Frequency (ACVF) power system. The control performance of rectifiers may be largely affected by variations in the AC side impedance, especially for systems with limited power volume system. A novel idea for estimating the impedance variation based on the Bayesian estimation, using an algorithm embedded in MPDPC is presented in this paper. The input filter inductance and its equivalent series resistance (ESR) of PWM rectifiers are estimated in this algorithm by measuring the input current and input voltage in each cycle with the probability Bayesian estimation theory. This novel estimation method can overcome the shortcomings of traditional data based estimation methods such as least square estimation (LSE), which achieves poor estimation results with the small samples data set. In ACVF systems, the effect on the parameters estimation accuracy caused by the number of sampling points in one cycle is also analyzed in detail by simulation. The validity of this method is verified by the digital and Hard-in-loop simulation compared with other estimation methods such as the least square estimation method. The experimental testing results show that the proposed estimation algorithm can improve the robustness and the control performance of the MPDPC under the condition of the uncertainty of the AC side parameters of the three-phase PWM rectifiers in aircraft electrical power system.

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Xiaojuan, Lu, Wang Xinju, and Dong Haiying. "Model Predictive Direct Power Control of DC Micro Grid Rectifier Based on Neutral Point Potential Balance." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6571659.

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Aimed at the problem of DC micro grid rectifier control delay and the DC bus voltage stability, the method of two-step model predictive direct power control (TMPDPC) combined with neutral point potential control is proposed. Model predictive direct power control (MPDPC) is designed for rectifier. A cost function is then used to evaluate the active and reactive power ripples, from which the vector that generates the lowest power ripple will be applied during the next sampling interval. Two-step predictive control is designed to compensate for the delay of one-step predictive control. On the basis of this, the two-capacitor voltage unbalance problem in DC side is considered, and the neutral point potential control is added. In the Matlab/Simulink simulation, compared with control effect of direct power control (DPC) and one-step model predictive direct power control (OMPDPC), the control strategy of neutral point potential added to TMPDPC can make the system stability and control accuracy better. The validity of this scheme was validated by physical simulation at last.

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Elsherbiny, Hanaa, Mohamed Kamal Ahmed, and Mahmoud Elwany. "Comparative Evaluation for Torque Control Strategies of Interior Permanent Magnet Synchronous Motor for Electric Vehicles." Periodica Polytechnica Electrical Engineering and Computer Science 65, no. 3 (2021): 244–61. http://dx.doi.org/10.3311/ppee.16672.

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This paper presents a detailed analysis and comparative investigation for the torque control techniques of interior permanent magnet synchronous motor (IPMSM) for electric vehicles (EVs). The study involves the field-oriented control (FOC), direct torque control (DTC), and model predictive direct torque control (MPDTC) techniques. The control aims to achieve vehicle requirements that involve maximum torque per ampere (MTPA), minimum torque ripples, maximum efficiency, fast dynamics, and wide speed range. The MTPA is achieved by the direct calculation of reference flux-linkage as a function of commanded torque. The calculation of reference flux-linkage is done online by the solution of a quartic equation. Therefore, it is a more practical solution compared to look-up table methods that depend on machine parameters and require extensive offline calculations in advance. For realistic results, the IPMSM model is built considering iron losses. Besides, the IGBTs and diodes losses (conduction and switching losses) in power inverter are modeled and calculated to estimate properly total system efficiency. In addition, a bidirectional dc-dc boost converter is connected to the battery to improve the overall drive performance and achieve higher efﬁciency values. Also, instead of the conventional PI controller which suffers from parameter variation, the control scheme includes an adaptive fuzzy logic controller (FLC) to provide better speed tracking performance. It also provides a better robustness against disturbance and uncertainties. Finally, a series of simulation results with detailed analysis are executed for a 60 kW IPMSM. The electric vehicle (EV) parameters are equivalent to Nissan Leaf 2018 electric car.

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Riar, Baljit S., James Scoltock, and Udaya K. Madawala. "Model Predictive Direct Slope Control for Power Converters." IEEE Transactions on Power Electronics 32, no. 3 (2017): 2278–89. http://dx.doi.org/10.1109/tpel.2016.2558523.

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Arif, Bilal, Luca Tarisciotti, Pericle Zanchetta, Jon C. Clare, and Marco Degano. "Grid Parameter Estimation Using Model Predictive Direct Power Control." IEEE Transactions on Industry Applications 51, no. 6 (2015): 4614–22. http://dx.doi.org/10.1109/tia.2015.2453132.

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Medouce, Houssam Eddine, and Hocine Benalla. "Predictive model approach based direct power control for power quality conditioning." International Journal of System Assurance Engineering and Management 8, S2 (2017): 1832–48. http://dx.doi.org/10.1007/s13198-017-0679-4.

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Abdelrahem, Mohamed, José Rodríguez, and Ralph Kennel. "Improved Direct Model Predictive Control for Grid-Connected Power Converters." Energies 13, no. 10 (2020): 2597. http://dx.doi.org/10.3390/en13102597.

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This paper proposes a computationally efficient and robust direct model predictive control (DMPC) technique with enhanced steady-state performance for power converters tied to the electric utility. The discrete space vector modulation (DSVM) method is considered in the design of the suggested DMPC, where virtual voltage vectors (VVs) besides the real ones are utilized for improving the steady-state response of the proposed controller. Furthermore, for averting the high computational burden and making the proposed control technique simple, a deadbeat (DB) function is employed for calculating the reference VV based on the required reference current. Subsequently, a discrete-time integral term is combined with this DB function to enhance the robustness of the suggested DMPC technique against variations of the model parameters. Finally, the best virtual or real VV is chosen by a certain quality function, which will be applied to the power converter in the next sample. The suggested technique is verified by simulation results and its performance is compared with the classical DMPC and voltage-oriented control (VOC).

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Dissertations / Theses on the topic "Model predictive direct power control (MPDPC)"

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Ngo, Van Quang Binh. "Algorithmes de conception de lois de commande prédictives pour les systèmes de production d’énergie." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC031/document.

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Cette thèse vise à élaborer de nouvelles stratégies de commande basées sur la commande prédictive pour le système de génération d’énergie éolienne. La topologie des systèmes de production éolienne basées sur le Générateur Asynchrone à Double Alimentation (GADA) qui convient à des plateformes de génération dans la gamme de puissance de 1.5 à 6 MW est abordée. Du point de vue technologique, le convertisseur à trois niveaux et clampé par le neutre (3L-NPC) est considéré comme une bonne solution pour une puissance élevée en raison de ses avantages: capacité à réduire la distorsion harmonique de la tension de sortie et du courant, et augmentation de la capacité du convertisseur grâce à une tension réduite appliquée à chaque semi-conducteur de puissance. Une description détaillée de la commande prédictive à ensemble de commande fini (FCS-MPC) avec un horizon de prédiction de deux pas est présentée pour deux boucles de régulation: celle liée au convertisseur connecté au réseau et celle du convertisseur connecté au GADA. Le principe de la commande repose sur l’utilisation d’un modèle de prédiction permettant de prédire le comportement du système pour chaque état de commutation du convertisseur. La minimisation d’une fonction de coût appropriée prédéfinie permet d’obtenir la commutation optimale à appliquer au convertisseur. La thèse étudie premièrement les problèmes liées à la compensation du temps de calcul de la commande et au choix et aux pondérations de la fonction de coût. Ensuite, le problème de stabilité de la commande FCS-MPC est abordé en considérant une fonction de Lyapunov dans la minimisation de la fonction de coût. Finalement, une étude sur la compensation des effets des temps morts du convertisseur est présentée<br>This thesis aims to elaborate new control strategies based on Model Predictive control for wind energy generation system. We addressed the topology of doubly fed induction generator (DFIG) based wind generation systems which is suitable for generation platform power in the range in 1.5-6 MW. Furthermore, from the technological point of view, the three-level neutral-point clamped (3L-NPC) inverter configuration is considered a good solution for high power due to its advantages: capability to reduce the harmonic distortion of the output voltage and current, and increase the capacity of the converter thanks to a decreased voltage applied to each power semiconductor.In this thesis, we presented a detailed description of finite control set model predictive control (FCS-MPC) with two step horizon for two control schemes: grid and DFIG connected 3L-NPC inverter. The principle of the proposed control scheme is to use system model to predict the behaviour of the system for every switching states of the inverter. Then, the optimal switching state that minimizes an appropriate predefined cost function is selected and applied directly to the inverter.The study of issues such as delay compensation, computational burden and selection of weighting factor are also addressed in this thesis. In addition, the stability problem of FCS-MPC is solved by considering the control Lyapunov function in the design procedure. The latter study is focused on the compensation of dead-time effect of power converter

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Kovaltchouk, Thibaut. "Contributions à la co-optimisation contrôle-dimensionnement sur cycle de vie sous contrainte réseau des houlogénérateurs directs." Thesis, Cachan, Ecole normale supérieure, 2015. http://www.theses.fr/2015DENS0033/document.

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Les Energies Marines Renouvelables (EMR) se développent aujourd’hui très vite tant au niveau de la recherche amont que de la R&D, et même des premiers démonstrateurs à la mer. Parmi ces EMR, l'énergie des vagues présente un potentiel particulièrement intéressant. Avec une ressource annuelle brute moyenne estimée à 40 kW/m au large de la côte atlantique, le littoral français est plutôt bien exposé. Mais l’exploitation à grande échelle de cette énergie renouvelable ne sera réalisable et pertinente qu'à condition d'une bonne intégration au réseau électrique (qualité) ainsi que d'une gestion et d'un dimensionnement optimisé au sens du coût sur cycle de vie. Une première solution de génération tout électrique pour un houlogénérateur a d’abord été évaluée dans le cadre de la thèse de Marie RUELLAN menée sur le site de Bretagne du laboratoire SATIE (ENS de Cachan). Ces travaux ont mis en évidence le potentiel de viabilité économique de cette chaîne de conversion et ont permis de poser la question du dimensionnement de l’ensemble convertisseur-machine et de soulever les problèmes associés à la qualité de l’énergie produite. Puis une seconde thèse a été menée par Judicaël AUBRY dans la même équipe de recherche. Elle a consisté, entre autres, en l’étude d’une première solution de traitement des fluctuations de la puissance basée sur un système de stockage par supercondensateurs. Une méthodologie de dimensionnement de l’ensemble convertisseur-machine et de gestion de l’énergie stockée fut également élaborée, mais en découplant le dimensionnement et la gestion de la production d’énergie et de ceux de son système de stockage. Le doctorant devra donc : 1. S’approprier les travaux antérieurs réalisés dans le domaine de la récupération de l’énergie des vagues ainsi que les modèles hydrodynamiques et mécaniques réalisés par notre partenaire : le LHEEA de l’Ecole Centrale de Nantes - 2. Résoudre le problème du couplage entre dimensionnement/gestion de la chaîne de conversion et dimensionnement/gestion du système de stockage. 3. Participer à la réalisation d’un banc test à échelle réduite de la chaine électrique et valider expérimentalement les modèles énergétiques du stockage et des convertisseurs statiques associés - 4. Proposer une méthodologie de dimensionnement de la chaine électrique intégrant le stockage et les lois de contrôle préalablement élaborées 5. Déterminer les gains en termes de capacités de stockage obtenus grâce à la mutualisation de la production (parc de machines) et évaluer l’intérêt d’un stockage centralisé - 6. Analyser l’impact sur le réseau d’une production houlogénérée selon divers scenarii, modèles et outils développés par tous les partenaires dans le cadre du projet QUALIPHE. L’exemple traité sera celui de l’Ile d’Yeu (en collaboration avec le SyDEV<br>The work of this PhD thesis deals with the minimization of the per-kWh cost of direct-drive wave energy converter, crucial to the economic feasibility of this technology. Despite the simplicity of such a chain (that should provide a better reliability compared to indirect chain), the conversion principle uses an oscillating system (a heaving buoy for example) that induces significant power fluctuations on the production. Without precautions, such fluctuations can lead to: a low global efficiency, an accelerated aging of the fragile electrical components and a failure to respect power quality constraints. To solve these issues, we firstly study the optimization of the direct drive wave energy converter control in order to increase the global energy efficiency (from wave to grid), considering conversion losses and the limit s from the sizing of an electrical chain (maximum force and power). The results point out the effect of the prediction horizon or the mechanical energy into the objective function. Production profiles allow the study of the flicker constraint (due to grid voltage fluctuations) linked notably to the grid characteristics at the connection point. Other models have also been developed to quantify the aging of the most fragile and highly stressed components, namely the energy storage system used for power smoothing (with super capacitors or electrochemical batteries Li-ion) and power semiconductors.Finally, these aging models are used to optimize key design parameters using life-cycle analysis. Moreover, the sizing of the storage system is co-optimized with the smoothing management

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Book chapters on the topic "Model predictive direct power control (MPDPC)"

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Hindi, Haitham, Daniel Greene, and Caitlin Laventall. "Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking Using Multirate Economic Model Predictive Control." In Control and Optimization Methods for Electric Smart Grids. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1605-0_5.

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"Model Predictive Direct Torque Control." In Model Predictive Control of High Power Convertersand Industrial Drives. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119010883.ch7.

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"Computationally Efficient Model Predictive Direct Torque Control." In Model Predictive Control of High Power Convertersand Industrial Drives. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119010883.ch10.

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"Derivatives of Model Predictive Direct Torque Control." In Model Predictive Control of High Power Convertersand Industrial Drives. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119010883.ch11.

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"Performance Evaluation of Model Predictive Direct Torque Control." In Model Predictive Control of High Power Convertersand Industrial Drives. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119010883.ch8.

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"Analysis and Feasibility of Model Predictive Direct Torque Control." In Model Predictive Control of High Power Convertersand Industrial Drives. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119010883.ch9.

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Conference papers on the topic "Model predictive direct power control (MPDPC)"

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Saeedinia, Mohammad Hosein, and S. Alireza Davari. "Virtual flux model predictive direct power control (VF-MPDPC) of afe rectifier with new current prediction method and negative sequence elimination." In 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). IEEE, 2017. http://dx.doi.org/10.1109/precede.2017.8071278.

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Linder, A., and R. Kennel. "Direct model predictive control - a new direct predictive control strategy for electrical drives." In 2005 IEEE 11th European Conference on Power Electronics and Applications. IEEE, 2005. http://dx.doi.org/10.1109/epe.2005.219335.

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Kley, Jonas, Georgios Papafotiou, Kostas Papadopoulos, Patrick Bohren, and Manfred Morari. "Performance evaluation of model predictive direct torque control." In 2008 IEEE Power Electronics Specialists Conference - PESC 2008. IEEE, 2008. http://dx.doi.org/10.1109/pesc.2008.4592718.

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Stellato, Bartolomeo, and Paul J. Goulart. "High-speed direct model predictive control for power electronics." In 2016 European Control Conference (ECC). IEEE, 2016. http://dx.doi.org/10.1109/ecc.2016.7810275.

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Cauwet, M. L., J. Decock, J. Liu, and O. Teytaud. "Direct Model Predictive Control: A Theoretical and Numerical Analysis." In 2018 Power Systems Computation Conference (PSCC). IEEE, 2018. http://dx.doi.org/10.23919/pscc.2018.8442952.

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Riar, Baljit, Tobias Geyer, and Regan Zane. "Current THD analysis in direct model predictive control." In 2017 IEEE 18th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2017. http://dx.doi.org/10.1109/compel.2017.8013290.

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Geyer, Tobias, James Scoltock, and Udaya Madawala. "Model Predictive Direct Power Control for grid-connected converters." In IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics. IEEE, 2011. http://dx.doi.org/10.1109/iecon.2011.6119519.

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Zeinaly, Y., T. Geyer, and B. Egardt. "Trajectory extension methods for model predictive direct torque control." In Twenty-Sixth Annual IEEE Applied Power Electronics Conference and Exposition - APEC 2011. IEEE, 2011. http://dx.doi.org/10.1109/apec.2011.5744819.

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Karamanakos, Petros, Tobias Geyer, and Ralph Kennel. "Constrained long-horizon direct model predictive control for power electronics." In 2016 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2016. http://dx.doi.org/10.1109/ecce.2016.7854957.

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Zhang, Yongchang, Zhengxi Li, Wei Xu, Jiefeng Hu, and Jianguo Zhu. "Grid synchronization of DFIG using model predictive direct power control." In 2011 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2011. http://dx.doi.org/10.1109/icems.2011.6073981.

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