Fuzzy Logic Controller for Low Voltage Ride Through Capability Improvement of Grid Connected Photovoltaic Power Plants

Volume 5 Issue 2 February - April 2017

Research Paper

Fuzzy Logic Controller for Low Voltage Ride Through Capability Improvement of Grid Connected Photovoltaic Power Plants

A. Banu Prakash*, T. Devaraju**

* PG Scholar, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology (Autonomous), A.P., India.

** Head and Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology (Autonomous), A.P, India.

Prakash, A.B., and Devaraju,T. (2017). Fuzzy Logic Controller for Low Voltage Ride Through Capability Improvement of Grid Connected Photovoltaic Power Plants. i-manager’s Journal on Instrumentation and Control Engineering, 5(2), 8-17. https://doi.org/10.26634/jic.5.2.13498

Abstract

This paper shows a novel use of Fuzzy logic control based adaptive control methodology with the reason for improving the Low Voltage Ride Through (LVRT) capacity of grid associated Photo Voltaic (PV) power plants. The PV arrays are associated with the Point of Common Coupling (PCC) through a DC-DC boost converter, a DC-link capacitor, a grid side inverter, and a three-phase step up transformer. The DC-DC converter is utilized for a more extreme power point following operation in light of the partial open circuit voltage strategy. The grid-side inverter is used to control the DC-link voltage and terminal voltage at the PCC through a vector control plot. The adaptive Proportional-Integral (PI) controller is used to control the power electronic circuits because of its quick convergence. The proposed controller refreshes the PI controller gains online without the need to fine tune or optimize. For practical reactions, the PV power plant is associated with the IEEE 39-bus New England test system. The effectiveness of the proposed control strategy is contrasted and that got utilizing a PI controller- based an ideal PI controller considering subjecting the system to symmetrical, unsymmetrical faults, and unsuccessful reclosing of circuit breakers because of the presence of lasting blame. The validity of an adaptive control system is widely checked by the simulation results.

Optimization Technique for Dynamic Voltage Response Improvement in a Fixed Speed Wind Farm with PIA Controller

Volume 5 Issue 2 February - April 2017

Research Paper

Optimization Technique for Dynamic Voltage Response Improvement in a Fixed Speed Wind Farm with PIA Controller

Othman. A. Omar*, Niveen M. Badra**, Mahmoud A. Attia***

* Teaching Assistant, Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Egypt.

** Head, Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Egypt.

*** Assistant Professor, Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Egypt.

Omar, O.A., Badra, N.M., and Attia, M.A. (2017). Optimization Technique for Dynamic Voltage Response Improvement in a Fixed Speed Wind Farm With PIA Controller. i-manager’s Journal on Instrumentation and Control Engineering, 5(2), 1-7. https://doi.org/10.26634/jic.5.2.13497

Abstract

Renewable energy resources are the new generation challenges all over the world. The stochastic nature of these resources is considered as a barrier against using of them. This nature causes a lot of disturbances for power system operation. Also the stochastic nature of wind generation affects the power quality and the reliability of the system. FACTs devices are used in several researches to enhance the renewable energy generators specially wind generators to compensate its stochastic nature. In this paper, Shunt FACTs devices are used to enhance the dynamic response of voltage under the disturbance caused by wind generator. Proportional-Integral-Acceleration (PIA) as a new controller in this application is studied to enhance the performance of FACTs devices associated with renewable energy resources. Harmony Search Algorithm (HSA) optimization technique is used to tune the parameters of the controller. Finally, comparison of the PIA controller is carried out with the classical Proportional-Integral controller (PI) to verify the effectiveness of the PIA to enhance the power system operation with stochastic wind generator nature.

A Study on Low Frequency Oscillation, Facts, and Self Tuning Controllers

Volume 5 Issue 1 November - January 2017

Review Paper

A Study on Low Frequency Oscillation, Facts, and Self Tuning Controllers

M. Dilip Kumar*, P. Bharat Kumar**, P. Sujatha***

*-** Research Scholar, Department of Electrical Engineering, JNTUA CEA, Andhra Pradesh, India.

*** Professor, Department of Electrical and Electronics Engineering, JNTUA CEA, Andhra Pradesh, India.

Kumar,M.D., Kumar,P.B., and Sujatha,P. (2017). A Study on Low Frequency Oscillation, Facts, and Self Tuning Controllers. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 31-39. https://doi.org/10.26634/jic.5.1.10351

Abstract

Transmission system expansion in India has not been consistent with the growth of demand in the states, resulting in suboptimal utilization of generation capacity. It is therefore critical to ensure that the existing transmission assets are fully utilized by loading them much closer to their capacity. One of the major concerns, then, is the secure operation of the system because of the presence of low-frequency electromechanical oscillations typically in the range of 0.1–0.8 Hz. One primary way of tackling the problem is to improve the dynamic behavior of the system and thereby allowing system operation closer to the capacity, without compromising security. In this paper, the authors have explained about low frequency oscillations and how it can be addressed using FACTS self tuning controllers.

Comparative Visualization of PID and FOPID Controller Response for an Automatic Voltage Regulator System

Volume 5 Issue 1 November - January 2017

Research Paper

Comparative Visualization of PID and FOPID Controller Response for an Automatic Voltage Regulator System

Sumit Ranjan Priyadarshi*, Shekhar Yadav**

* PG Scholar, Department of Control and Instrumentation Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Priyadarshi,S.R., and Yadav,S. (2017). Comparative Visualization of PID and FOPID Controller Response for an Automatic Voltage Regulator System. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 24-30. https://doi.org/10.26634/jic.5.1.10350

Abstract

In the last few decades, in all types of industries, approximately the most common types of controllers are PID controllers. They have found a huge acceptance and application in distinct industry. The most common types of controller used in process control are PID controllers due to their efficient response. Proper tuning rules are required for PID controller to give desired output and appropriate performance. There are progressive researches going on, to develop novel methods for PID tuning rules and designing. A large number of algorithms have been grown up by researchers and appropriate methods according to the application are approved by industries for PID tuning and designing. The authors aim to find out the way, which provides better tuning parameterization and better response. In this paper, the superiority of FOPID controller over conventional PID controller is discussed using MATLAB/SIMULINK. In recent years, FOPID controllers replaced all the PID controllers in many areas of engineering and science. The concept of FOPID controller was first invented by Podlubny in 1997.

Sensorless Control of BLDC Motor using Bio-Inspired Optimization Algorithm and Classical Methods of Tuning PID Controller

Volume 5 Issue 1 November - January 2017

Research Paper

Sensorless Control of BLDC Motor using Bio-Inspired Optimization Algorithm and Classical Methods of Tuning PID Controller

Manoj Kumar Merugumalla*, 0**

* Research Scholar, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.

** Professor, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.

Merugumalla,M.K., and Navuri,P.K. (2017). Sensorless Control of BLDC Motor using Bio-Inspired Optimization Algorithm and Classical Methods of Tuning PID Controller. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 16-23. https://doi.org/10.26634/jic.5.1.10349

Abstract

The position of Brushless Direct Current (BLDC) rotor is determined by measuring the changes in the Back-EMF. Sensorless control method reduces the cost of the motor as it does not need sensors. This paper presents Bio-inspired optimization technique (Particle Swarm Optimization algorithm) and classical methods of tuning PID control parameters for the automatic speed tracking of BLDC motor. The BLDC is modelled in Simulink in Matlab and Back-EMF waveforms are modelled as a function of rotor position. The proposed methods are effective in reducing the steady state error, rise time, settling time, and peak overshoot. The classical methods such as Ziegler-Nichols (Z-N), Tyreus-Luyben (T-L) methods, and Particle Swarm Optimization (PSO) techniques based on effective objective function Integral Absolute Error (IAE) are proposed for the optimal tuning of PID controller parameters. The results obtained from Particle Swarm Optimization technique are compared with the classical methods.

Microcontroller Based Automation of Conveyor Belt System

Volume 5 Issue 1 November - January 2017

Research Paper

Microcontroller Based Automation of Conveyor Belt System

Nurus Sabah Amrin*, Yogesh Bahendwar**

* M.E. Scholar, Department of Electronics & Telecommunication, Shri Shankaracharya Engineering College, Junwani, Durg (C.G.), India.

** Head, Department of Electronics & Telecommunication, Shri Shankaracharya Engineering College, Junwani, Durg (C.G.), India.

Amrin,N.S., and Bahendwar,Y. (2017). Microcontroller Based Automation of Conveyor Belt System. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 11-15. https://doi.org/10.26634/jic.5.1.10348

Abstract

In industries, continuous transportation of materials from one section to another includes conveyor belts. The use of conveyor belts is mostly for supply of raw materials for production. Generally, when a material is transported over the conveyor belt, it provides a way to control and monitor the operation, thereby handling the production. This paper intends to develop an approach to overcome the shortcoming of the time delay in observation and response, by utilizing Infrared sensors. It also provides a method to manage manufacturing from remote places. This is done by interfacing a controller module along with a sensor module in the device. This paper presents the creation of a prototype for an automatic monitoring and control system for probing objects on a conveyor belt. It also includes a method to control the production within the prescribed time by preventing the negligence caused by the operators.

Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement

Volume 5 Issue 1 November - January 2017

Research Paper

Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement

Ahmed M. Mosaad*, Mahmoud A. Attia**, 0***

* PG Scholar, Department of Electrical Power and Machines, Ain Shams University (ASU), Cairo, Egypt.

**, *** Professor, Department of Electrical Engineering, Ain Shams University (ASU), Cairo, Egypt.

Mosaad, A.M., Attia, M.A., and Abdelaziz, A.Y. (2017). Optimization Techniques to tune the PID and PIDA Controllers for AVR Performance Enhancement. i-manager’s Journal on Instrumentation and Control Engineering, 5(1), 1-10. https://doi.org/10.26634/jic.5.1.10336

Abstract

This paper presents three types of optimization techniques; Teaching Learned Based Optimization (TLBO), Harmony Search Algorithm (HSA), and Local Unimodal Sampling (LUS) which are used to tune the controller parameters in Automatic Voltage Regulator (AVR) system. AVR system is used to adjust the terminal voltage of synchronous generator. This paper presents two types of controllers: Proportional-Integral-Derivative (PID) and Proportional-Integral-Derivative- Acceleration (PIDA). Each controller is used with TLBO, HSA, and LUS. For PID controller, these techniques show better performance than Many Optimizing Liaisons (MOL), Gravitational Search Algorithm (GSA), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Differential Evolution (DE) in previous works. For PIDA controller, these techniques show better performance than Bat Search (BAT), Current Search (CS), Tabu Search (TS), and Genetic Algorithm (GA) in previous works. By comparing both controllers, PIDA shows better response in overshoot and steady state error than PID.