A review on state of art development of model predictive control for renewable energy applications

Renewable energy sector is undergoing rapid expansion as the global focus is shifting towards cleaner, reliable and sustainable resources. As the new installation of these resources are well underway, there is tremendous potential for exploring these to more advanced control algorithms. Model predictive control is gaining immense popularity because of its flexible controllability, its ability to be used in any of application irrespective of its field as well as the availability of fast processors. This paper presents a systematic review on Photo-voltaic (PV) and wind energy systems controlled by Model predictive control approach. The work presented here will help the researchers to further explore the flexibility of this controller for design, analysis and implementation in renewable energy systems.

[1]  Daniel E. Quevedo,et al.  Predictive direct power control for grid connected power converters with dc-link voltage dynamic reference design , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

[2]  Lip-Wah Ho.  Wind energy in Malaysia: past, present and future , 2016 .

[3]  Piotr M. Marusak,et al.  Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors , 2009, Appl. Soft Comput..

[4]  Xiaobing Kong,et al.  Nonlinear Model Predictive Control for DFIG-Based Wind Power Generation , 2014, IEEE Transactions on Automation Science and Engineering.

[5]  K. P. Sozanski,et al.  Harmonic compensation using the sliding DFT algorithm for three-phase active power filter , 2006 .

[6]  Sevki Demirbas,et al.  Critical aspects of wind energy systems in smart grid applications , 2015 .

[7]  N. Mrabet-Bellaaj,et al.  Model based predictive control strategies for wind turbine system based on PMSG , 2015, IREC2015 The Sixth International Renewable Energy Congress.

[8]  Sarat Kumar Sahoo,et al.  Elimination of Harmonics in Seven-Level Cascaded Multilevel Inverter Using Particle Swarm Optimization Technique , 2015 .

[9]  Bin Wu,et al.  Predictive Control of a Three-Level Boost Converter and an NPC Inverter for High-Power PMSG-Based Medium Voltage Wind Energy Conversion Systems , 2014, IEEE Transactions on Power Electronics.

[10]  Zanxiang Nie,et al.  Design and Simulation of SMES System Using YBCO Tapes for Direct Drive Wave Energy Converters , 2013, IEEE Transactions on Applied Superconductivity.

[11]  N. Hoonchareon,et al.  Design of a controller for DFIG-based wind power generation using model predictive control , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[12]  Haitham Abu-Rub,et al.  Model Predictive Control of Multilevel Cascaded H-Bridge Inverters , 2010, IEEE Transactions on Industrial Electronics.

[13]  Vassilios G. Agelidis,et al.  Hybrid genetic algorithm approach for selective harmonic control , 2008 .

[14]  Delfim Pedrosa,et al.  Predictive control of a current-source inverter for solar photovoltaic grid interface , 2015, 2015 9th International Conference on Compatibility and Power Electronics (CPE).

[15]  Fuwen Yang,et al.  Distributed predictive control of grid-connected solar PV generation based on data-driven subspace approach , 2014, 2014 International Power Electronics and Application Conference and Exposition.

[16]  Sheela Tiwari,et al.  Neural network predictive control of UPFC for improving transient stability performance of power system , 2011, Appl. Soft Comput..

[17]  Mehrdad Kazerani,et al.  An analytical literature review of stand-alone wind energy conversion systems from generator viewpoint , 2013 .

[18]  Goran Andersson,et al.  Investigating PHEV wind balancing capabilities using heuristics and model predictive control , 2010, IEEE PES General Meeting.

[19]  J. Baskaran,et al.  A New Cascaded Multilevel Inverter Topology with Voltage Sources Arranged in Matrix Structure , 2015 .

[20]  Mahmoud A. Sayed,et al.  Power transition enhancement for variable-speed, variable-pitch wind turbines using model predictive control techniques , 2014, 2014 49th International Universities Power Engineering Conference (UPEC).

[21]  M Soliman,et al.  Multiple Model Predictive Control for Wind Turbines With Doubly Fed Induction Generators , 2011, IEEE Transactions on Sustainable Energy.

[22]  Wen Tong Chong,et al.  Advances and challenges in grid tied photovoltaic systems , 2015 .

[23]  José A. Candanedo,et al.  Simplified Linear Models for Predictive Control of Advanced Solar Homes with Passive and Active Thermal Storage , 2010 .

[24]  Bin Wu,et al.  Model-Predictive Control of Grid-Tied Four-Level Diode-Clamped Inverters for High-Power Wind Energy Conversion Systems , 2014, IEEE Transactions on Power Electronics.

[25]  Seyed Hossein Hosseini,et al.  Novel algorithm of maximum power point tracking (MPPT) for variable speed PMSG wind generation systems through model predictive control , 2013, 2013 8th International Conference on Electrical and Electronics Engineering (ELECO).

[26]  D.Q. Dang,et al.  Model Predictive Control for maximum power capture of variable speed wind turbines , 2010, 2010 Conference Proceedings IPEC.

[27]  Sarat Kumar Sahoo,et al.  Comparative analysis of model predictive control and PWM control techniques for VSI , 2014, 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).

[28]  David G. Dorrell,et al.  Multi-Objective Model-Predictive Control for High-Power Converters , 2013, IEEE Transactions on Energy Conversion.

[29]  Amin Hajizadeh,et al.  Power Flow Control of Grid-Connected Fuel Cell Distributed Generation Systems , 2008 .

[30]  Julien Eynard,et al.  Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings , 2015, Appl. Soft Comput..

[31]  Shu Lin,et al.  Model Predictive Control — Status and Challenges , 2013 .

[32]  Sarat Kumar Sahoo,et al.  A computationally efficient finite state model predictive control for cascaded multilevel inverter , 2016 .

[33]  Leopoldo G. Franquelo,et al.  Predictive control of a three-phase UPS inverter using two steps prediction horizon , 2010, 2010 IEEE International Conference on Industrial Technology.

[34]  Haitham Abu-Rub,et al.  Model predictive control of interleaved boost converters for synchronous generator wind energy conversion systems , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

[35]  Bin Wu,et al.  Model Predictive Approach for a Simple and Effective Load Voltage Control of Four-Leg Inverter With an Output $LC$ Filter , 2014, IEEE Transactions on Industrial Electronics.

[36]  A. Alimardani,et al.  Modified shuffled-frog-leaping algorithm in company with neural networks for harmonic distortion minimisation in real-time control applications of programmed pulse-width modulation inverters , 2011 .

[37]  S. Iniyan,et al.  Applications of fuzzy logic in renewable energy systems – A review , 2015 .

[38]  A. K. Al-Othman,et al.  Elimination of harmonics in multilevel inverters with non-equal dc sources using PSO , 2009 .

[39]  Ahmet Teke,et al.  Investigation of multilevel multifunctional grid connected inverter topologies and control strategies used in photovoltaic systems , 2015 .

[40]  A. Kavousi,et al.  Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters , 2012, IEEE Transactions on Power Electronics.

[41]  P. Rodriguez,et al.  Predictive Power Control for PV Plants With Energy Storage , 2013, IEEE Transactions on Sustainable Energy.

[42]  Silverio Bolognani,et al.  Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 2: Field Weakening Operation , 2013, IEEE Transactions on Industrial Informatics.

[43]  Haoran Zhao,et al.  Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart I: Clustering-Based Wind Turbine Model Linearization , 2015, IEEE Transactions on Sustainable Energy.

[44]  Saad Mekhilef,et al.  Imposed Weighting Factor Optimization Method for Torque Ripple Reduction of IM Fed by Indirect Matrix Converter with Predictive Control Algorithm , 2015 .

[45]  Mohamed Wissem Naouar,et al.  Predictive control strategies for wind turbine system based on permanent magnet synchronous generator. , 2016, ISA transactions.

[46]  K. Pavlou,et al.  A single-phase nine-level inverter for renewable energy systems employing model predictive control , 2015 .

[47]  Ernesto Ruppert Filho,et al.  A Predictive Power Control for Wind Energy , 2011 .

[48]  Ali Karimpour,et al.  Wind turbine power tracking using multiple model predictive control , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).

[49]  Rasool Azimi,et al.  A novel soft computing framework for solar radiation forecasting , 2016, Appl. Soft Comput..

[50]  R. Logesh,et al.  Resources, configurations, and soft computing techniques for power management and control of PV/wind hybrid system , 2017 .

[51]  L. Ben-Brahim,et al.  A weighted real-time predictive controller for a grid connected flying capacitors inverter , 2013 .

[52]  Hadi Youssef Kanaan,et al.  Real-Time Implementation of Model-Predictive Control on Seven-Level Packed U-Cell Inverter , 2016, IEEE Transactions on Industrial Electronics.

[53]  Mehran Sabahi,et al.  Extended SVM algorithms for multilevel trans-Z-source inverter , 2016 .

[54]  Debashis Chatterjee,et al.  An application of PSO technique for harmonic elimination in a PWM inverter , 2009, Appl. Soft Comput..

[55]  Jianguo Zhu,et al.  Fault tolerant model predictive control of three-phase permanent magnet synchronous motors , 2013 .

[56]  José R. Rodríguez,et al.  Predictive Torque Control of Induction Machines Based on State-Space Models , 2009, IEEE Transactions on Industrial Electronics.

[57]  Sarat Kumar Sahoo,et al.  Application of soft computing methods for grid connected PV system: A technological and status review , 2017 .

[58]  Pablo Lezana,et al.  Predictive control of three-phase inverter , 2004 .

[59]  Hossein Gholizade-Narm,et al.  Power injection of renewable energy sources using modified model predictive control , 2016 .

[60]  Pericle Zanchetta,et al.  A Distributed Model Predictive Control Strategy for Back-to-Back Converters , 2016, IEEE Transactions on Industrial Electronics.

[61]  Nasrudin Abd Rahim,et al.  A review of the islanding detection methods in grid-connected PV inverters , 2013 .

[62]  Yanjun Tian,et al.  Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns , 2016 .

[63]  E. Babaei,et al.  Cascaded multilevel inverter using sub-multilevel cells , 2013 .

[64]  Weihua Zhuang,et al.  Stochastic Modeling and Optimization in a Microgrid: A Survey , 2014 .

[65]  Chao Sun,et al.  Data enabled predictive energy management of a PV-battery smart home nanogrid , 2015, 2015 American Control Conference (ACC).

[66]  Omar Abdel-Rahim,et al.  Five-level multilevel power conditioning system for grid-tie photovoltaic applications with novel model predictive control , 2015, 2015 IEEE 2nd International Future Energy Electronics Conference (IFEEC).

[67]  Jay H. Lee,et al.  Model predictive control: past, present and future , 1999 .

[68]  Emilio Olias,et al.  Overview of power inverter topologies and control structures for grid connected photovoltaic systems , 2014 .

[69]  Durga Prasad Garapati,et al.  Minimization of power loss in newfangled cascaded H-bridge multilevel inverter using in-phase disposition PWM and wavelet transform based fault diagnosis , 2016, Ain Shams Engineering Journal.

[70]  Rodrigo Palma-Behnke,et al.  A Microgrid Energy Management System Based on the Rolling Horizon Strategy , 2013, IEEE Transactions on Smart Grid.

[71]  Cuauhtemoc Lopez-Martin.  Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects , 2015 .

[72]  Omar Abdel-Rahim,et al.  Control of seven-to-three phase Direct Matrix Converter using Model Predictive control for multiphase wind generation , 2014, 2014 16th International Conference on Harmonics and Quality of Power (ICHQP).

[73]  Tomonobu Senjyu,et al.  Stochastic inequality constrained closed-loop model-based predictive control of MW-class wind generating system in the electric power supply , 2010 .

[74]  Xiangjie Liu,et al.  Model predictive control for DFIG-based wind power generation under unbalanced network conditions , 2015, 2015 34th Chinese Control Conference (CCC).

[75]  Arash Ahmadi,et al.  Three-Phase Inverter Control by Model Predictive Control , 2015 .

[76]  Xianzhong Chen,et al.  Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems , 2011, IEEE Transactions on Control Systems Technology.

[77]  José R. Rodríguez,et al.  Predictive control based selective harmonic elimination with low switching frequency for multilevel converters , 2009, 2009 IEEE Energy Conversion Congress and Exposition.

[78]  Kay Soon Low,et al.  Model Predictive Control of Parallel-Connected Inverters for Uninterruptible Power Supplies , 2008, IEEE Transactions on Industrial Electronics.

[79]  Syafrudin Masri,et al.  Challenges of integrating renewable energy sources to smart grids: A review , 2015 .

[80]  Sarat Kumar Sahoo,et al.  Finite Control Set Model Predictive Current Control for a Cascaded Multilevel Inverter , 2016 .

[81]  S. Saranya,et al.  Optimal location and sizing of distributed generation unit using intelligent water drop algorithm , 2015 .

[82]  X. J. Liu,et al.  Distributed model predictive control of wind and solar generation system , 2014, Proceedings of the 33rd Chinese Control Conference.

[83]  C. Larbes,et al.  Implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit , 2011 .

[84]  T. Jayabarathi,et al.  Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm , 2016 .

[85]  Pablo Lezana,et al.  Predictive Current Control of a Voltage Source Inverter , 2004, IEEE Transactions on Industrial Electronics.

[86]  Manfred Morari,et al.  Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis , 2009, IEEE Transactions on Industrial Electronics.

[87]  Yongchang Zhang,et al.  Model Predictive Torque Control of Induction Motor Drives With Optimal Duty Cycle Control , 2014, IEEE Transactions on Power Electronics.

[88]  Sarat Kumar Sahoo.  Comparison of SVM and DPC for reactive power control of DFIG based wind energy systems , 2016 .

[89]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[90]  Ning Du,et al.  A neural network based model predictive control for wind tunnel , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

[91]  Esmaeel Khanmirza,et al.  Predictive control of a building hybrid heating system for energy cost reduction , 2016, Appl. Soft Comput..

[92]  Josep M. Guerrero,et al.  Model Predictive Control in Next Microgrid Control Architectures , 2014 .

[93]  Numan Sabit Cetin,et al.  Artificial neural networks for controlling wind–PV power systems: A review , 2014 .

[94]  Yogendra Kumar,et al.  A novel hybrid MOL-TLBO optimized techno-economic-socio analysis of renewable energy mix in island mode , 2016, Appl. Soft Comput..

[95]  Andrey V. Savkin,et al.  Wind power dispatch control with battery energy storage using model predictive control , 2012, 2012 IEEE International Conference on Control Applications.

[96]  Zohre Abbasi,et al.  Open-Delta Three-Phase Inverter Current Control Using Predictive Control For PV System Connected To The Grid , 2015 .

[97]  Paolo Mercorelli,et al.  A Multilevel Inverter Bridge Control Structure with Energy Storage Using Model Predictive Control for Flat Systems , 2013 .

[98]  Abdollah A. Afjeh,et al.  Wind energy: Trends and enabling technologies , 2016 .

[99]  M.I. Valla,et al.  Active power filter with predictive current control of a Diode clamped Multilevel inverter , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.

[100]  C. Dhanamjayulu,et al.  Investigation on cascade multilevel inverter with symmetric, asymmetric, hybrid and multi-cell configurations , 2017 .

[101]  Chennai Salim,et al.  Three-level (NPC) Shunt Active Power Filter Performances based on Fuzzy Controller for Harmonic Currents Compensation under Non-Ideal Voltage Conditions , 2014 .

[102]  Aydogan Savran,et al.  A multivariable predictive fuzzy PID control system , 2013, Appl. Soft Comput..

[103]  K. S. Sandhu,et al.  Hybrid wind/photovoltaic energy system developments: Critical review and findings , 2015 .

[104]  Chennai Salim,et al.  Harmonic Current Compensation based on Three-phase Three-level Shunt Active Filter using Fuzzy Logic Current Controller , 2011 .

[105]  P. Wiatr,et al.  Model predictive control of multilevel cascaded converter with boosting capability – a simulation study , 2016 .

[106]  Andrey V. Savkin,et al.  Model predictive control for wind power generation smoothing with controlled battery storage , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[107]  Kyo-Beum Lee,et al.  High Performance Current Controller for Sparse Matrix Converter Based on Model Predictive Control , 2013 .

[108]  Fateh Krim,et al.  Design and implementation of predictive current control of three-phase PWM rectifier using space-vector modulation (SVM) , 2010 .

[109]  Manfred Morari,et al.  An improved approach for constrained robust model predictive control , 2002, Autom..

[110]  Evangelos Rikos,et al.  A Model Predictive Control Approach to Microgrid Operation Optimization , 2014, IEEE Transactions on Control Systems Technology.

[111]  Jiaying Wang.  Model Predictive Control of Power Electronics Converter , 2012 .

[112]  Zhe Song,et al.  Anticipatory Control of Wind Turbines With Data-Driven Predictive Models , 2009, IEEE Transactions on Energy Conversion.