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Nalini, A.
- Performance of Matrix Converter in a DG Interconnected Power Grid Using Matlab
Authors
1 Dr.M.G.R Educational & Research University, Chennai, IN
Source
Software Engineering, Vol 7, No 5 (2015), Pagination: 150-152Abstract
This paper deals with modelling and simulation in MATLAB/Simulink of wind farm DFIG interconnected with a matrix converter. The Matrix converter is mainly used to convert the constant voltage and frequency sinusoidal supply into variable voltage and frequency. In a grid where industrial load is connected, the matrix converter is used. The main advantage is that the phase sequence problem is minimized. The switching algorithm is based on an indirect phase vector modulation allows direct control of input current and output voltage. Hence allows the power factor of the source to be controlled. The results are validated through simulation.
Keywords
Matrix Converter, MATLAB/Simulation, Doubly Fed Induction Generator.
- Enhanced Controllability with Multiple Static Synchronous Series Compensators
Authors
1 Department of Electrical & Electronics Engineering, Dr. M.G.R Educational and Research Institute (University), Chennai, IN
Source
Programmable Device Circuits and Systems, Vol 7, No 5 (2015), Pagination: 157-161Abstract
The present trends in deregulation of power generation and development of renewable energy sources, such as Photovoltaic and wind power, and connecting them to the distribution networks, has led to issues of maintaining system stability, power supply quality and reliability. Greater interconnection of electrical power networks enables efficient distribution of renewable energy sources but requires flexible network operation with minimum losses and cost. Since the construction of new transmission lines is very expensive, a cost-effective policy is to use the existing lines to their maximum thermal limit, and this requires optimum sharing of power flow between them. Flexible AC Transmission Systems (FACTS), such as Static Compensator (STATCOM) and Unified Power Flow Controller (UPFC), are the key technology. These enhance the controllability of transmission networks and maximize power transfer capability. In this paper, a modular and scalable series compensation technique so as to enhance the controllability & flexibility in transmission network of a distributed power system/Micro grid is proposed.
Keywords
Daisy-Chained Transformers, Static Synchronous Series Compensators, Reactive Power Compensation.- Conducted EMI in PWM Inverter for Domestic Appliances
Authors
1 Department of Electrical and Electronical Engineering, Dr. MGR Educational and Research Institute, Chennai-600095, Tamilnadu, IN
Source
Digital Signal Processing, Vol 7, No 4 (2015), Pagination: 115-119Abstract
This paper is to study about the dc sweep analysis and also time domain transient analysis of the Electromagnetic interference of the pulse width modulation which is used for the domestic appliances. The current can be analyzed at the various level stages of the switching devices such as diode. The source has been detected and has to be mitigated the EMI noise. An exhaustive method for the selection of different power semiconductor switches for high frequency hybrid resonant inverter fed induction heater is presented here. Heating coil of the induction heater is made of litz wire which minimizes the skin effect and proximity effect at high operating frequency. With the calculated optimum values of inductance and resistance of heating coil at a particular operating frequency, high frequency hybrid resonant inverter topology has been simulated using PSPICE software as well as constructing the experimental mo del of same rating. Obtained the voltage waveforms across heating coil and current waveforms through it, have been taken for further analysis. Waveforms have been shown to justify the feasibility for real implementation of high frequency hybrid resonant inverter fed induction heater in domestic applications.Keywords
Electromagnetic Interference, Pulse Width Modulation, Electromagnetic Compatibility.- Micro Grid Based on PV and Multiple Electric Vehicles
Authors
1 Dr. M. G. R. Educational & Research Institute, Chennai-95, IN
Source
Digital Signal Processing, Vol 7, No 4 (2015), Pagination: 123-126Abstract
In this present day, use of renewable energy resources is very much increasing and in this one of energy source is solar energy. In this paper the integration of pv and multiple electric vehicle to micro grid is discussed. Applications of electric vehicles need to build a large number of charging stations. In order to reduce the grid load, it is necessary to develop smart electric vehicle charging stations. The Electric vehicle charging stations communicate with the gird. When grid load increase, electric vehicles battery discharge to the grid to improve grid stability. As distributed storage units, electric vehicles are important components of smart grid. The central component of electric vehicle is battery and the charge and discharge dynamics of battery model are dynamically validated experimentally with four batteries types. An interesting feature of this model is simplicity to extract the dynamic model parameters from batteries.Keywords
Solar PV System, Electric Vehicle, Energy Storage, Micro Grid.- A Perception for Wide Area Power Monitoring System
Authors
1 Department of EEE, Dr. M.G.R University, Chennai, Tamilnadu, IN
Source
Automation and Autonomous Systems, Vol 7, No 6 (2015), Pagination: 157-161Abstract
This paper focuses on the advanced optimization technique which is used to know the dynamic behavior of the power system when it is subjected to any disturbance by tuning the data of the power system. Power system is a major complex system and therefore developing detail mathematical modeling is very difficult. That's the reason neural network is used to estimate the dynamic behavior of the power system, not from the mathematical modeling, but from the input-output data of the power system. A recurrent neural network (RNN) has been proved to be very effective for dynamic system identification. It is important to tune the weights of RNN, so that optimal values of those weights are obtained and the neural network can effectively predict the system states. In this project, particle swarm optimization technique-Quantum Infusion is used to reduce average error value so that it can track the system dynamics of the power system properly. Particle Swarm Optimization (PSO) is generally used to tune the weights of a neural network. PSO, though very effective, sometimes get trapped into a local optimum and fail to reach the global optimum. An advanced version of PSO which is called PSO with Quantum Infusion (PSO-QI) can be very effective to avoid being trapped in a local optimum. Finally, the dynamic behavior of the power system is demonstrated using the MATLAB software package.Keywords
Wide Area Monitoring, Protection and Control System, Optimization Technique, PMU, SMT, PDC.- A Technique for Monitoring the Power System
Authors
1 Department of Electrical & Electronics Engineering, Dr. M. G. R. Educational and Research Institute, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 5 (2015), Pagination: 153-154Abstract
The project objective is to develop an equivalent model of a part of a power system based on PMU measurement. Here we need to monitor power system stabilizer speed by using wide area monitor, for this purpose we are injecting pseudo random binary sequence as a input to generator 1 and we are getting the speed deviation signal as output. To monitor the wide area system in this project non linear estimation technique it is based on Hammerstein wiener model. In this project kundur's two area four machine system is used , Kundur's Two-Area Four-Machine (TAFM) system consisting of two fully symmetrical areas linked together by two 220 km, 230 kV transmission lines is considered as case study in this paper. This power system typically is used to study the low frequency electromechanical oscillations of a large interconnected system.Keywords
WAMPAC, PRBS.- A Review of a Technique for Wide Area Monitoring and Control
Authors
1 Dr.M.G.R Educational and Research Institute, Chennai, Tamil Nadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 5 (2015), Pagination: 155-158Abstract
The advancement in communication and measurement techniques accelerate the development of wide area monitoring and control, based on the wide area measurement system. In this study, global information of power system will be introduced. By analyzing and computing real-time wide area monitoring and control based on neural network. This method is implemented on the MATLAB.
Keywords
Phasor Measurement Units, Phase Data Concentrator, Neural Network, Global Positioning Satellite System, Wide Area Monitoring and Control System.- Simulation Model of a Wind Turbine Using Full Converter Technology
Authors
1 Electrical and Electronics Engineering, Dr. MGR Educational Research Institute, IN
2 Department of Electrical and Electronics Engineering, Dr. MGR Educational Research Institute, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 5 (2015), Pagination: 164-168Abstract
Recently the usage of renewable energy resources has increased since there is a large gap between demand and supply. In southern part of Tamilnadu, Chennai many wind farms have been installed. There is a wide range of machines used for the same, among which the DFIG with full converter control is taken for study. This paper gives an overview of modeling and simulation of DFIG coupled with wind turbine through the full converter. The main advantage of DFIG with full converter over the other generator, it is being using the most of the wind applications. The aim of using full converter is gives the 100%output compared to other converter. Finally the result shows the response of simulation model of DFIG with full converter by using the PSCAD.Keywords
Wind Turbine, DFIG, Full Converter, Vector Control.- Reactive Power Reduction in Renewable Energy Source Using Filter
Authors
Source
Digital Signal Processing, Vol 8, No 6 (2016), Pagination: 173-176Abstract
In olden days the use of wind power in mankind is the sail boat. Then demand of electricity is more. By using the conventional power plant unable to manage the demand of electricity. So the renewable energy can be used wind power mill. The modern grid requirement has caused the wind power system behave more like a conventional rotating generators. In these days windmill are used to power a house and also transfer power to the grid for purpose of maintaining voltage. In the existing system LCL filter is used to achieve half value of reactive power or harmonic current can be reduced. In the proposed system the adaptive filter can be used for better performance Furthermore, it is also found that the annual energy loss could even become lower with the optimized filter and thereby more energy production for the wind turbine.