Design and Implementation of Solar PV Emulator Using Magna DC Power Supply
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Transmission Cost Allocation Using Cooperative Game Theory Concepts
Implementation of Current Control Technique in Grid Connected Solar Photovoltaic Systems for Power Quality Improvement
Analysis of Adaptive Linear Neural Network (Adaline) In Power System Harmonics Signal
GIS Based Site Suitabilty Modelling For Locating Solar Power Park In Thiruvannamalai District,Tamil Nadu
Hybrid Technique based Slip frequency control for the Dynamic Analysis of IM
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
A Three Phase Power Flow Method for Unbalanced Radial Distribution systems with Inclusion of Voltage Regulator and Transformer Modeling
Speed Control of Switched Reluctance Motor with Torque Ripple Reduction Using Fractional Order PID Controller and Cuckoo Search Algorithm
Effect Of Stochastic Nature Of Wind EnergyOn Power System
Minimization Of Harmonics, Total Harmonic Distortion And Thermal Analysis Of 5-Phase Induction Motor Drive Using LC Filter With Delta Model Capacitor
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
The aim of this paper is to emulate commercial PV module under different parameters and environmental condition (insolation or temperature change) by using Photovoltaic Power Profile Emulation (PPPE) software and Magna DC power supply. This method can be used, where the real PV panels are not available or hard to work within lab conditions. The PPPE software automatically calculates solar array voltage and current profiles based on predefined values entered by the user. After this, profiles are sequentially sent to a Magna-Power supply. The user can define a limitless number of profiles to be emulated and sequenced over a given period of time.
In the present technology, the applications of DC motors are replaced by induction motors due to its advantages. Most of the applications are in domestic and industrial applications. The motor used in industrial applications are high torque and long working time, frequently used motors, therefore the efficiency and life time of the motor is very essential factors to be monitored during its working. In this work, the normal voltage source inverter and multilevel inverter are used to run the motor. The major hurdle of using an inverter is, it produces harmonics and these harmonics induce the unnecessary current and voltage harmonics into the loads. These harmonics are simply dissipated as heat in the motor and degrade the motor performance with reducing the motor lifetime. To study the effects of different levels of multi-level inverter drives with respect to heating of the motor, the thermocouples are placed at different parts of the induction motor. The harmonic study is carried out with 3-Phase Normal Inverter Drive and the 3-Phase Diode Clamped Multilevel Inverter (DCMI) drive with 5-Level, the comparison has been done with Normal Inverter Drive and Five Level DCMI drive. The reduction of harmonics is observed using 5-Level DCMI Drive, then the study has been extended experimentally to analyse the temperature of Three Phase Induction Motor. The rate of rise temperature of induction motor is obtained and found to be less than the Normal Inverter Drive, the work has been evaluated by the results presented in this work.
Transmission cost allocation is an emerging topic of interest in the deregulated power system. In this paper, co-operative game theory concepts such as Shapley value, Tau value, Nucleolus and Proportional Nucleolus methods are applied for analyzing the allocation of transmission cost among the players. Studies on transmission cost allocation based on Shapley and Nucleolus have been done earlier. The Proportional Nucleolus which works on extended core concept is utilized in the co-operative game for allocating transmission cost to the players and gives solution for co-operative games in the empty-core environment also. The structure of the game and its fairness is also discussed in this paper. The transmission cost allocation based on the co-operative game methods are systematically analyzed and compared with existing tracing methods. The proposed methods are carried out by illustrating on the sample six bus system. The paper emphasis the proportional nucleolus of co-operative game theory is the best suitable method for allocating transmission costs.
In the present scenario, the grid connected renewable energy sources are playing an important role in meeting the peak power demand and providing quality of supply. One of the most favorable renewable energy sources with reasonable cost for producing the power is a solar photovoltaic system, which converts the solar power into the electrical power. The proposed work deals with a detail modeling of Grid connected solar photovoltaic system. The maximum power from the solar photovoltaic system is extracted using incremental conductance methods under dynamic variations in irradiance and temperature. The extracted power is integrated with the grid through the inverter using a hysteresis current control technique with the PI controller. The inverter and controller are used for providing quality of power supply and can meet the necessary peak demand. Under the dynamic irradiance and the temperature variations in the performance of the grid connected solar photovoltaic system is simulated in MATLAB-SIMULINK software.
Estimation of power system parameter plays an important role in the modern power system. In this paper estimation of harmonics components in a power system synthetic signal is done by an improved estimation techniques called as ADALINE. This neural estimator basically uses an adaptive interpreted linear neuron. Learning parameter is adjusted to keep the difference between the Real values and Expected values to satisfy the difference arises due to error equation. Tracking of the fourier co-efficent of the proposed signal, which is also constitutes a noise and DC decaying component can be done easily and accurately using the proposed algorithm. To verify the effectiveness of the proposed algorithm estimation of amplitude as well as Phase of fundamental and harmonics is carried out. The simulation results obtained are encouraging to work more on estimation of signal.
Owing to the demand of the electricity consumption across the world, an important trait has been brought to the context by including the solar energy as an alternate source of power generation. The solar energy is termed as the best renewable resource that meets all the needs because of it tremendous benefit. Renewable energy generation can assist countries encounter their sustainable development that aims through delivery of spotless, safe, reliable and inexpensive energy. This paper gives the idea of using the on multiple criteria's decisions and methodology to find optimum sites for planting the solar power park concentrating on numerous other factors. Determining an apposite location that is favourable to all the circumstances such as the economy, environmental and social issues is a tedious task. Hence, considering the problem in account the best solution can be given as using the Geographical Information System (GIS) based model for this analysis. Here, the GIS-based model works with the multi-criteria-analysis for solar site assessment for Thiruvannamalai District, Tamil Nadu. The criteria such as distance from road, availability of barren lands, distance from waterbodies, slope, direction of sun radiation and existing built-up area etc. have been taken into consideration as analysis criteria. The study area extends between 78.20 to 79.50 eastern longitude and 11.55 to 13.15 northern latitude, and covers area of 622059 ha. At last number of maps was prepared to show the selected criteria's and a final output of the selected area which is very much suitable, moderately suitable and less suitable area to plant the solar power park.
In the paper, the slip frequency control of Induction Motor (IM) is analyzed and developed the control loop with the help of hybrid technique. The hybrid technique is the combination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Firefly Algorithm (FA), which is works based on the Phase Locked Loop (PLL). Here, the FA is developed to train the ANFIS and established the rule based layer formation. The bio-inspired optimization technique of FA is applied to develop the performance of ANFIS by tuning the membership function and reduce the error value. After that, the ANFIS is designed and this is suggested for the enhancement of stability and controlling the speed, torque and slip frequency. In the controller part of analysis, the IM behaviors are determined normally. After that, the error speed signal is calculated, and established on the comparison of reference and motor speed. The resulted error and change in error speed signals are used to the input of the proposed hybrid controller loop. The speed characteristics of IM is analyzed with the help of proposed technique. The proposed method is implemented in MATLAB/Simulink platform and compared with the existing methods such as, ANFIS and Particle Swarm Optimization (PSO) algorithm. In order to prove the effectiveness of the proposed method, the characteristics of speed, torque, slip frequency and current are evaluated.