A Rotating Reference Signal Based on Nonlinear Control for Multi-bus Single Phase Micro-grids

In islanding Micro-Grids (MGs), distributed generation units are in charge of controlling voltage, frequency, and current of the grid on their own without any assistance from the main grid. Therefore, it is of utmost importance to select and design a controller that is robust against disturbances and load variations. In this study, a new sliding mode controller with a rotating reference voltage algorithm is proposed which improves the load sharing between distributed generators (DGs) in an islanded mode MG. In the proposed algorithm, the amplitude of the reference voltage signal of the controller is adaptively modified to improve the performance and convergence rate of the controller. As a case study, the proposed strategy is studied based on the assumption that there are three DGs in the grid. One of the DGs is in charge of regulating voltage and frequency based on a reference signals, and the two other DGs are responsible for load sharing and loads current control mode. The MG under study consists of three low voltage distributed generation units operating in parallel mode. In order to have a realistic case study, it is assumed that the MG consists of different types of loads such as resistive, inductive and nonlinear loads. Extensive simulations carried out in MATLAB environment indicate that the proposed framework is able to provide more desirable total harmonic distortion (THD), lower steady state error, and faster response compared with classic sliding mode controllers.

[1]  Mohammad Reza Khalghani,et al.  Determination of Optimum Hysteresis Bandwidth to Improve Electric Machines Operation , 2013 .

[2]  J. Fernando A. da Silva,et al.  Sliding-mode control of boost-type unity-power-factor PWM rectifiers , 1999, IEEE Trans. Ind. Electron..

[3]  R Ahmadi Kordkheili,et al.  Sliding mode control for three-phase ac/dc voltage-source boost converter , 2010, SPEEDAM 2010.

[4]  Mohammad Hassan Khooban,et al.  A simple and intelligent online parameter identification of nonlinear chaotic systems , 2015, J. Intell. Fuzzy Syst..

[5]  Taher Niknam,et al.  A robust and simple optimal type II fuzzy sliding mode control strategy for a class of nonlinear chaotic systems , 2014, J. Intell. Fuzzy Syst..

[6]  Taher Niknam,et al.  A new load frequency control strategy for micro-grids with considering electrical vehicles , 2017 .

[7]  Mohammad Reza Khalghani,et al.  Dynamic voltage restorer control using bi-objective optimisation to improve power quality's indices , 2014 .

[8]  D. N. M. Abadi,et al.  Optimal Type-2 Fuzzy Controller For HVAC Systems , 2014 .

[9]  Mohammad Hassan Khooban,et al.  Adaptive fuzzy sliding mode control for synchronization of uncertain non-identical chaotic systems using bacterial foraging optimization , 2014, J. Intell. Fuzzy Syst..

[10]  Hasan Komurcugil,et al.  A Three-Level Hysteresis Function Approach to the Sliding-Mode Control of Single-Phase UPS Inverters , 2009, IEEE Transactions on Industrial Electronics.

[11]  Taher Niknam,et al.  A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm , 2015 .

[12]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[13]  Josep M. Guerrero,et al.  Wireless-control strategy for parallel operation of distributed generation inverters , 2006, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[14]  Mohammad Hassan Khooban,et al.  A robust control strategy for a class of distributed network with transmission delays: LMI-based model predictive controller , 2016 .

[15]  Rong-Jong Wai,et al.  Active Low-Frequency Ripple Control for Clean-Energy Power-Conditioning Mechanism , 2010, IEEE Transactions on Industrial Electronics.

[16]  Taher Niknam,et al.  Speed control of electrical vehicles: a time-varying proportional–integral controller-based type-2 fuzzy logic , 2016 .

[17]  Mohammad Reza Khalghani,et al.  A novel self-tuning control method based on regulated bi-objective emotional learning controller's structure with TLBO algorithm to control DVR compensator , 2014, Appl. Soft Comput..

[18]  Mohammad Hassan Khooban,et al.  PI adaptive LS-SVR control scheme with disturbance rejection for a class of uncertain nonlinear systems , 2016, Eng. Appl. Artif. Intell..

[19]  T. L. Vandoorn,et al.  Analogy Between Conventional Grid Control and Islanded Microgrid Control Based on a Global DC-Link Voltage Droop , 2012, IEEE Transactions on Power Delivery.

[20]  Mohammad Reza Khalghani,et al.  An optimal and intelligent control strategy for a class of nonlinear systems: adaptive fuzzy sliding mode , 2016 .

[21]  M. Khooban,et al.  Robust control strategy for electrically driven robot manipulators: adaptive fuzzy sliding mode , 2015 .

[22]  Mohammad Hassan Khooban,et al.  Multi-Objective Distribution feeder reconfiguration to improve transient stability, and minimize power loss and operation cost using an enhanced evolutionary algorithm at the presence of distributed generations , 2016 .

[23]  Mohammad Hassan Khooban,et al.  The online parameter identification of chaotic behaviour in permanent magnet synchronous motor by Self-Adaptive Learning Bat-inspired algorithm , 2016 .

[24]  Taher Niknam,et al.  Fuzzy sliding mode control scheme for a class of non-linear uncertain chaotic systems , 2013 .

[25]  Mohsen Hamzeh,et al.  A New Control Strategy for a Multi-Bus MV Microgrid Under Unbalanced Conditions , 2012, IEEE Transactions on Power Systems.

[26]  M B Delghavi,et al.  Islanded-Mode Control of Electronically Coupled Distributed-Resource Units Under Unbalanced and Nonlinear Load Conditions , 2011, IEEE Transactions on Power Delivery.

[27]  M. Dehghani,et al.  Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations , 2016 .

[28]  Akshaya Moharana,et al.  Input-Output Linearization and Robust Sliding-Mode Controller for the VSC-HVDC Transmission Link , 2010, IEEE Transactions on Power Delivery.

[29]  Seyyed Kamal Hosseini-Sani,et al.  Direct adaptive general type-2 fuzzy control for a class of uncertain non-linear systems , 2014 .

[30]  John E. Quaicoe,et al.  Analysis and design of a multiple feedback loop control strategy for single-phase voltage-source UPS inverters , 1996 .

[31]  Mohammad Reza Khalghani,et al.  A self-tuning load frequency control strategy for microgrids: Human brain emotional learning , 2016 .

[32]  Taher Niknam,et al.  T-S fuzzy model predictive speed control of electrical vehicles. , 2016, ISA transactions.

[33]  Mohammad Hassan Khooban,et al.  Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots , 2015 .

[34]  Mohammad Hassan Khooban,et al.  State estimation strategy for fractional order systems with noises and multiple time delayed measurements , 2017 .

[35]  Mohammad Hassan Khooban,et al.  Optimal Type-2 Fuzzy Controller For HVAC Systems , 2014 .

[36]  S. K. Sahoo,et al.  Single-Phase Inverter Control Techniques for Interfacing Renewable Energy Sources With Microgrid—Part I: Parallel-Connected Inverter Topology With Active and Reactive Power Flow Control Along With Grid Current Shaping , 2011, IEEE Transactions on Power Electronics.

[37]  Reza Iravani,et al.  Multivariable Servomechanism Controller for Autonomous Operation of a Distributed Generation Unit: Design and Performance Evaluation , 2010, IEEE Transactions on Power Systems.

[38]  Frede Blaabjerg,et al.  A robust adaptive load frequency control for micro-grids. , 2016, ISA transactions.

[39]  Wei-Jen Lee,et al.  Design and Active Control of a Microgrid Testbed , 2015, IEEE Transactions on Smart Grid.

[40]  Mohammad Hassan Khooban,et al.  A novel self-adaptive modified bat fuzzy sliding mode control of robot manipulator in presence of uncertainties in task space , 2014, Robotica.

[41]  Mohammad Reza Khalghani,et al.  A novel control system design to improve LVRT capability of fixed speed wind turbines using STATCOM in presence of voltage fault , 2016 .

[42]  Josep M. Guerrero,et al.  Microgrid Stability Controller Based on Adaptive Robust Total SMC , 2015 .

[43]  Gabriela Hug,et al.  Cooperative Control of Distributed Energy Storage Systems in a Microgrid , 2015, IEEE Transactions on Smart Grid.

[44]  Mohammad Hassan Khooban,et al.  Improved frequency dynamic in isolated hybrid power system using an intelligent method , 2016 .

[45]  Taher Niknam,et al.  A robust and new simple control strategy for a class of nonlinear power systems: induction and servomotors , 2016 .

[46]  Yung-Ruei Chang,et al.  Design of High-Performance Stand-Alone and Grid-Connected Inverter for Distributed Generation Applications , 2013, IEEE Transactions on Industrial Electronics.

[47]  Tomislav Dragicevic,et al.  An optimal general type-2 fuzzy controller for Urban Traffic Network. , 2017, ISA transactions.

[48]  Taher Niknam,et al.  Intelligent robust PI adaptive control strategy for speed control of EV(s) , 2016 .

[49]  M. Khooban,et al.  An optimal type II fuzzy sliding mode control design for a class of nonlinear systems , 2013, Nonlinear Dynamics.

[50]  Mohammad Hassan Khooban,et al.  Robust and simple intelligent observer-based fault estimation and reconstruction for a class of non-linear systems: HIRM aircraft , 2016 .

[51]  Josep M. Guerrero,et al.  Output impedance design of parallel-connected UPS inverters with wireless load-sharing control , 2005, IEEE Transactions on Industrial Electronics.

[52]  Ying-Yu Tzou,et al.  Adaptive repetitive control of PWM inverters for very low THD AC-voltage regulation with unknown loads , 1999 .

[53]  Taher Niknam,et al.  A new and robust control strategy for a class of nonlinear power systems: Adaptive general type-II fuzzy , 2015, J. Syst. Control. Eng..

[54]  Mohammad Hassan Khooban,et al.  LMI-based stability analysis and robust controller design for a class of nonlinear chaotic power systems , 2016, J. Frankl. Inst..

[55]  Mohsen Hamzeh,et al.  Harmonic and Negative-Sequence Current Control in an Islanded Multi-Bus MV Microgrid , 2014, IEEE Transactions on Smart Grid.

[56]  Taher Niknam,et al.  Free chattering hybrid sliding mode control for a class of non-linear systems: Electric vehicles as a case study , 2016 .

[57]  H. Karimi,et al.  A Robust Two-Degree-of-Freedom Control Strategy for an Islanded Microgrid , 2013, IEEE Transactions on Power Delivery.

[58]  Taher Niknam,et al.  Probabilistic electricity price forecasting by improved clonal selection algorithm and wavelet preprocessing , 2016, Neural Computing and Applications.

[59]  Taher Niknam,et al.  A time-varying general type-II fuzzy sliding mode controller for a class of nonlinear power systems , 2016, J. Intell. Fuzzy Syst..

[60]  H. Nikkhajoei,et al.  Distributed Generation Interface to the CERTS Microgrid , 2009, IEEE Transactions on Power Delivery.