Performance improvement of a STATCOM using fuzzy controller for isolated generator

2018 ◽  
Vol 15 (2) ◽  
pp. 273-282 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Performance Comparison ◽  
Grid System ◽  
Voltage Profile ◽  
Content Type ◽  
Single Generator ◽  
Micro Grid

Purpose This paper aims to demonstrate the efficacy of fuzzy logic controller (FLC) over proportional integral (PI) and sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of a single-generator-based micro-grid system using STATCOM. Design/methodology/approach A STATCOM is used to improve the voltage profile of the load bus. The performance of the STATCOM is evaluated by using three different controllers: PI controllers, FLCs and SMCs. The performance comparison of the controllers is done with different dc bus voltages, different load bus voltage references, various loads such as R-L loads and dynamic loads. Findings A comparative analysis is done between the performances of the three different controllers. The comparative study culminates that FLC is found to be superior than the other proposed controllers. SMC is a close competitor of fuzzy controller. Originality/value Design of fuzzy logic and SMCs for a STATCOM implemented in a single-generator-based micro-grid system is applied.

Obstacle avoidance and path planning of humanoid robot using fuzzy logic controller aided owl search algorithm in complicated workspaces

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhishek Kumar Kashyap ◽  
Dayal R. Parhi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Search Algorithm ◽  
Optimal Path ◽  
Humanoid Robots ◽  
Steering Angle ◽  
Content Type ◽  
Hybrid Controller ◽  
Humanoid Nao

Purpose This paper aims to outline and implement a novel hybrid controller in humanoid robots to map an optimal path. The hybrid controller is designed using the Owl search algorithm (OSA) and Fuzzy logic. Design/methodology/approach The optimum steering angle (OS) is used to deal with the obstacle located in the workspace, which is the output of the hybrid OSA Fuzzy controller. It is obtained by feeding OSA's output, i.e. intermediate steering angle (IS), in fuzzy logic. It is obtained by supplying the distance of obstacles from all directions and target distance from the robot's present location. Findings The present research is based on the navigation of humanoid NAO in complicated workspaces. Therefore, various simulations are performed in a 3D simulator in different complicated workspaces. The validation of their outcomes is done using the various experiments in similar workspaces using the proposed controller. The comparison between their outcomes demonstrates an acceptable correlation. Ultimately, evaluating the proposed controller with another existing navigation approach indicates a significant improvement in performance. Originality/value A new framework is developed to guide humanoid NAO in complicated workspaces, which is hardly seen in the available literature. Inspection in simulation and experimental workspaces verifies the robustness of the designed navigational controller. Considering minimum error ranges and near collaboration, the findings from both frameworks are evaluated against each other in respect of specified navigational variables. Finally, concerning other present approaches, the designed controller is also examined, and major modifications in efficiency have been reported.

scholarly journals A New ANFIS-based Peak Power Curtailment in Microgrids Including PV Units and BESSs

2018 ◽  
Author(s):  
Srete Nikolovski ◽  
Hamid Reza Baghaee ◽  
Dragan Mlakić
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Peak Load ◽  
Real Life ◽  
Energy Output ◽  
Grid System ◽  
Renewable Energy Resources ◽  
Inference System ◽  
Micro Grid

One of the most crucial and economically beneficial tasks for energy customer is peak load curtailment. On account of the fast response of renewable energy resources (RERs) such as photovoltaic (PV) units and battery energy storage system (BESS), this task is closer to be efficiently implemented. Depends on the customer peak load demand and energy characteristics, the feasibility of this strategy may warry. When adaptive neuro-fuzzy inference system (ANFIS) is exploited for forecasting, it can provide many benefits to address the above-mentioned issues and facilitate its easy implementation, with short calculating time and re-trainability. This paper introduces a data driven forecasting method based on fuzzy logic for optimized peak load reduction. First, the amount of energy generated by PV is forecasted using ANFIS which conducts output trend, and then, the BESS capacity is calculated according to the forecasted results. The trend of the load power is then decomposed in Cartesian plane into two parts, left and right from load peak, searching for BESS capacity equal. Network switching sequence over consumption is provided by a fuzzy logic controller (FLC) with respect to BESS capacity and PV energy output. Finally, to prove the effectiveness of the proposed ANFIS-based peak shaving method, offline digital time-domain simulations have been performed on a real-life practical test micro grid system in MATLAB/Simulink environment and the results have been experimentally verified by testing on a practical micro grid system with real-life data obtained from smart meter and also, compared with several previously-reported methods.

scholarly journals Implementation of Bidirectional DC to DC Converter and Inverter for Vehicle to Grid System by using Sliding Mode and Fuzzy Logic Controller

2021 ◽  
Vol 9 (VII) ◽  
pp. 3940-3948
Author(s):  
Jayshree Bembde
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Grid System ◽  
Matlab Software ◽  
Vehicle To Grid ◽  
Grid Applications ◽  
Grid Technique

In this paper a bidirectional DC to DC converter is designed by using sliding mode controller and fuzzy logic controller for vehicle to grid system. The vehicle to grid technique is intended to work in both grid to a vehicle battery and vehicle battery to grid applications in vehicle-to-grid scenarios. The two methodologies is verified using MATLAB software. Hardware is made by using a LAUNCHXL-F28377S microcontroller.

A sliding mode controller-based STATCOM for voltage profile improvement of micro-grids

2018 ◽  
Vol 15 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Steady State ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Sliding Mode Controller ◽  
Voltage Profile ◽  
Content Type ◽  
Grid Systems ◽  
Micro Grid ◽  
Micro Grids ◽  
Voltage Profile Improvement

Purpose The purpose of this paper is to evaluate the suitability and robustness of sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of two different micro-grid systems using STATCOM. Design/methodology/approach Two micro-grid systems are dynamically modelled and simulated using MATLAB/Simulink. The first micro-grid has a single diesel engine-driven synchronous generator. The second micro-grid has one diesel engine-driven synchronous generator and a doubly fed induction generator-based wind energy conversion system. The STATCOM is connected to the load bus in both the micro-grids. SMC is used for the control of STATCOM for voltage profile improvement of micro-grid. The performance of SMC-based STATCOM is analysed and compared with the performance of conventional PI controller-based STATCOM. Findings The SMCs are more suited for STATCOM control as these are more immune to load disturbances even with the presence of wind energy generators. The voltage deviations and the steady state errors in voltage are less with SMC. Although SMC introduces a bit of steady state error in the dc link voltage of the STATCOM, it is much less than the settling limit of 2 per cent, which is quite acceptable. SMC proves to be better than conventional PI controllers in both the proposed models of micro-grid. Originality/value Design of a robust first-order SMC for a STATCOM is used for voltage profile improvement in two different micro-grid systems.

scholarly journals Fuzzy Logic Controller for Voltage and Frequency Stabilization in DC decoupled Micro grid system

2019 ◽  
Vol 8 (6) ◽  
pp. 3179-3186
Keyword(s):  
Solar Wind ◽  
Fuzzy Logic ◽  
Fuel Cell ◽  
Power Management ◽  
Fuzzy Logic Controller ◽  
Maximum Power ◽  
Grid System ◽  
Constant Voltage ◽  
Micro Grid ◽  
Bidirectional Power Flow

An efficient Fuzzy Logic Controller (FLC) is proposed for maintaining constant voltage and frequency in a Decoupled DC micro grid system. The micro grid is modeled with solar, wind turbine, Fuel cell, battery and loads. Individual fuzzy MPPT (Maximum Power Point Tracking) controllers have proposed for solar, wind and fuel cell to extract maximum power from the sources and also to maintain constant voltage at DC bus. For the bidirectional power flow among the buses in the micro grid with power management strategy, an efficient Fuzzy logic controller is proposed for the bidirectional converter connected between DC and AC buses. The performance indices such as ITAE, ITSE, and settling time, rise time of DC link voltage has determined and it is being compared with the conventional Proportional Integral (PI) controller to endorse the performance of the proposed FLC. The results prove that the FLC has better performance in all aspects and it is more suitable for the power management in micro grid

scholarly journals Enhancement of Power Quality in Power Grid System using Dual Voltage Source Inverter

2019 ◽  
Vol 8 (2) ◽  
pp. 827-832
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Power Grid ◽  
Pi Controller ◽  
Voltage Source ◽  
Grid System ◽  
Voltage Source Inverter ◽  
Nonlinear Load ◽  
Micro Grid

In power grid system power quality improvement plays an important role. Dual Voltage Source Inverter (DVSI) scheme is proposed to improve the aspects of Power and consistency of the micro grid system. Here we use Distributed Energy Resources (DER) for power exchange and unbalanced load compensation and nonlinear load in the system. Load sharing and power injections are done by grid interactive inverters in micro-grid. Based on Instantaneous Symmetrical Component Theory (ISCT), control algorithm is developed. For extraction of positive sequence voltage, dq0 transformation is done. An inverter connected to a 3- phase four- wire distribution combination is employed to test the managing strategy of the system. In this work we mainly focused on the assessment of overall performance of Proportional Integral (PI) controller and Fuzzy Logic Controller (FLC). Thus, the FLC provides increase in reliability, better performance of micro grid, less bandwidth requirements of inverters when compared to PI controller. The proposed system is validated by MATLAB simulation methods using PI controller and Fuzzy Logic Controller.

Frequency control of PV-connected micro grid system using fuzzy logic controller

2020 ◽  
Author(s):  
T. Rajesh ◽  
B. Gunapriya ◽  
M. Sabarimuthu ◽  
S. Karthikkumar ◽  
R. Raja ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Grid System ◽  
Micro Grid

scholarly journals Improvement of Power Quality in Multi-Terminal Hybrid Ac/Dc Microgrid by using Fuzzy Logic Controller

2019 ◽  
Vol 8 (2) ◽  
pp. 5604-5611
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Paper Analysis ◽  
Dc Microgrid ◽  
Grid Current ◽  
Current Controller ◽  
Zero Sequence ◽  
Micro Grid

In this paper analysis of 3-Terminal and 5- Terminal hybrid(cross breed) micro grid using Fuzzy logic controller is proposed. The cascaded H-bridge interfaces between supply and DAB converter. The DAB(Dual Active Bridge) converter connects between cascaded H-bridge and load. By using Zero sequence voltage (ZSV) and inner current controller improvement in grid current and voltage balance are achieved. To boost the grid current and unbalance voltage, 49 ruled fuzzy controller based scheme is used. The analysis of the concept mainly deals with maintenance of power quality and uninterruption in power supply by tuning and Fuzzy logic controlling. The cascaded H-bridge hybrid micro grid with 3- terminal or 5 terminal would have better performance only if there is balanced voltage as well uninterrupted grid current. Fuzzy logic based controller performances are analyzed through simulation results.

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