Coordination Control of Microgrid using Sliding Mode Controller

2019 ◽  
Vol 1 (3) ◽  
pp. 57-64
Author(s):  
Geetha T ◽  
Chitra S
Keyword(s):  
High Efficiency ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Switching Frequency ◽  
Sliding Mode Controller ◽  
Renewable Energy Resources ◽  
Constant Frequency ◽  
Grid Synchronization ◽  
Point Tracking ◽  
System A

Traditional power generation and consumption are undergoing major transformation. One of the tendencies is to integrate microgrid into the distribution network with high penetration of renewable energy resources. A synchronous generator and a PV farm supply power to the system’s AC and DC sides, respectively. A DC/DC boost converter with a maximum power point tracking (MPPT) function is implemented to maximize the energy generation from the PV farm. In the existing system a model predictive power and voltage control (MPPVC) method is developed for the AC/DC interlinking converter this has a drawback in smooth grid synchronization. But in the proposed system a sliding mode controller is used to link the AC bus with the DC bus while regulating the system voltage and frequency and it ensures smooth power transfer between the DC and AC sub grids. Meanwhile, smooth grid synchronization and connection can be achieved. Proposed constant frequency sliding mode control retains the advantages of good dynamic response as in hysteresis control, better reference tracking switching frequency and less sensitivity to parameter variations and non liner loads.  From the Simulation results it is verified that the proposed topology is coordinated for power management in both AC and DC sides under critical loads with high efficiency, reliability, and robustness under both grid-connected and islanding modes.

scholarly journals Nonlinear Control of a Satellite Electrical Power System Based on the Sliding Mode Control

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Mohammad Rasool Mojallizadeh ◽  
Bahram Karimi
Keyword(s):  
Power System ◽  
Sliding Mode ◽  
Electrical Power ◽  
Voltage Regulation ◽  
Sliding Mode Controller ◽  
Electrical Power System ◽  
Load Variations ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The power electronic interface between a satellite electrical power system (EPS) with a photovoltaic main source and battery storage as the secondary power source is modelled based on the state space averaging method. Subsequently, sliding mode controller is designed for maximum power point tracking of the PV array and load voltage regulation. Asymptotic stability is ensured as well. Simulation of the EPS is accomplished using MATLAB. The results show that the outputs of the EPS have good tracking response, low overshoot, short settling time, and zero steady-state error. The proposed controller is robust to environment changes and load variations. Afterwards, passivity based controller is provided to compare the results with those of sliding mode controller responses. This comparison demonstrates that the proposed system has better transient response, and unlike passivity based controller, the proposed controller does not require reference PV current for control law synthesis.

scholarly journals Fixed- and variable-frequency sliding mode controller–maximum power point tracking converter for two-stage grid-integrated photovoltaic system employing nonlinear loads with power quality improvement features

2019 ◽  
Vol 52 (7-8) ◽  
pp. 896-912
Author(s):  
Ravichandran Chinnappan ◽  
Premalatha Logamani ◽  
Rengaraj Ramasubbu
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Active Power Filter ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Maximum Power Point ◽  
Power Filter ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This article presents a reliable and efficient photovoltaic sliding mode voltage-controlled maximum power point tracking DC-DC converter–active power filter integration system to supply real power to grid. This integrated active power filter system performs power quality enhancement features to compensate current harmonics to make distortion-free grid supply current and reactive power employing nonlinear loads. The proposed proportional–integral–derivative–based sliding mode controller is designed with fixed-frequency pulse-width modulation based on equivalent control approach. The main objective of this paper is to design a photovoltaic system with a new sliding surface to force the photovoltaic voltage to follow the reference maximum power point voltage with the alleviation of slow transient response and disadvantages of chattering effects of variable-frequency hysteresis modulation sliding mode controller–maximum power point tracking. The perturbations caused by the uncertainties in climatic conditions and converter output bulk oscillations during grid integration are also mitigated. The features of the proposed photovoltaic–active power filter integration system are confirmed at different operating conditions through PSIM simulation software, and its performance is also compared with a conventional variable-frequency sliding mode-controlled maximum power point tracking. The obtained simulation and experimental results give good dynamic response under various operating conditions of environmental and local load conditions.

scholarly journals Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Mojtaba Nasiri ◽  
Saleh Mobayen ◽  
Quan Min Zhu
Keyword(s):  
Wind Turbine ◽  
Reactive Power ◽  
Low Voltage ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Voltage Regulation ◽  
Point Tracking ◽  
Chattering Free ◽  
Grid Codes ◽  
Grid Side

In recent years, the complexities of wind turbine control are raised while implementing grid codes in voltage sag conditions. In fact, wind turbines should stay connected to the grid and inject reactive power according to the new grid codes. Accordingly, this paper presents a new control algorithm based on super-twisting sliding mode for a gearless wind turbine by a permanent magnet synchronous generator (PMSG). The PMSG is connected to the grid via the back-to-back converter. In the proposed method, the machine side converter regulates the DC-link voltage. This strategy improves low-voltage ride through (LVRT) capability. In addition, the grid side inverter provides the maximum power point tracking (MPPT) control. It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. The main features of the designed controller are being chattering-free and its robustness against external disturbances such as grid fault conditions. Simulations are performed on the MATLAB/Simulink platform. This controller is compared with Proportional-Integral (PI) and the first-order sliding mode (FOSM) controllers to illustrate the DC-link voltage regulation capability in the normal and grid fault conditions. Then, to show the MPPT implementation of the proposed controller, wind speed is changed with time. The simulation results show designed STSM controller better performance and robustness under different conditions.

Fuzzy Sliding Mode Control for a Three-Links Spatial Robot Based on RBF Neural Network

2011 ◽  
Vol 141 ◽  
pp. 303-307 ◽  
Author(s):  
Sheng Bin Hu ◽  
Min Xun Lu
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Rbf Neural Network ◽  
Sliding Mode Controller ◽  
System A ◽  
Radial Basis ◽  
Fuzzy Sliding Mode

To achieve the tracing control of a three-links spatial robot, a adaptive fuzzy sliding mode controller based on radial basis function neural network is proposed in this paper. The exponential sliding mode controller is divided into two parts: equivalent part and exponential corrective part. To realize the control without the model information of the system, a radial basis function neural network is designed to estimate the equivalent part. To diminish the chattering, a fuzzy controller is designed to adjust the corrective part according to sliding surface. The simulation studies have been carried out to show the tracking performance of a three-links spatial robot. Simulation results show the validity of the control scheme.

ADAPTIVE BACKSTEPPING SLIDING MODE CONTROLLER FOR FLIGHT SIMULATOR BASED ON RBFNN

2013 ◽  
Vol 04 (04) ◽  
pp. 1342007 ◽  
Author(s):  
YUNJIE WU ◽  
BAITING LIU ◽  
WULONG ZHANG ◽  
XIAODONG LIU
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Flight Simulator ◽  
Sliding Mode Controller ◽  
Control Input ◽  
Adaptive Backstepping ◽  
External Disturbances ◽  
Base Function ◽  
System A ◽  
Radial Base Function

For flight simulator system, a kind of Adaptive Backstepping Sliding Mode Controller (ABSMC) based on Radial Base Function Neural Network (RBFNN) observer is presented. The sliding mode control theory is famous by its characteristic that it is insensitive to the external disturbances and parameters uncertainties. Combining this characteristic with Backstepping method can simplifies the controller design. And the addition of the terminal attractor can make the arrival time shorten greatly. However, too large external disturbances and parameters uncertainties are still not allowed to the system, and the design process of ABSMC does not have the upper bound information of disturbance until a RBFNN observer is designed to solve the problems. The simulation results show that the proposed scheme can improve the tracking precision and reduce the chattering of the control input, and the system has a higher robustness.

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