EEPS01: ALLOCATION OF FACT DEVICES USING GENETIC ALGORITHMS (GA).
EEPS02: OPTIMAL LOCATION OF CAPACITORS IN POWERSYSTEMS USING GENETIC ALGORITHMS (GA).
EEPS03: POWER SYSTEM FAULT DETECTION USING WAVE LET TRANSFORMS AND PROBABILISTIC NEURAL NETWORKS.
Abstract:
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural network (PNN) for detecting the type of fault is used. The work presented in this paper is focused on identification of simple power system faults. Wavelet Transform (WT) of the transient disturbance caused as a result of occurrence of fault is performed. The detail coefficient for each type of simple fault is characteristic in nature.PNN is used for distinguishing the details coefficients and hence the faults.
EEPS04: MODELLING AND SIMULATION OF STATIC SYSNCHRONOUS SERIES COMPENSATOR (SSSC)
EEPS05: OPTIMAL LOCATION OF SSSC FOR ATC ENHANCEMENT IN DEREGULATED POWER SYSTEMS
EEPS06: ATC ENHANCEMENT USING OPTIMAL LOCATION OF TCSC AND SVC
EEPS07: VOLTAGE SAG MITIGATION TECHNIQUES BY DISTRIBUTION STATIC COMPENSATOR AND DYNAMIC VOLTAGE RESTORER (DVR AND D-STATCOM)
SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS (OR) SHORT TERM LOAD FORECASTING USING NEURAL NETWORKS, FUZZY LOGIC, NEURO FUZZY.
Abstract:
Artificial Neural Network (ANN) Method is applied to forecast the short-term load for a large power system. The load has two distinct patterns: weekday and weekend-day patterns. The weekend-day patterns include Saturday, Sunday, and Monday loads. A nonlinear load model is proposed and several structures of ANN for short-term load forecasting are tested in this project work.
AUTOMATIC GENERATION CONTROL USING ARTIFICIAL NEURAL NETWORKS OTHER AI TECHNIQUES.
LOAD FREQUENCY CONTROL OF TWO AREA POWER SYSTEM USING AI TECHNIQUES.
Abstract:
Power system load frequency control by fuzzy/neural PI controller is proposed in this work. During control, a fuzzy/neural system is used to adaptively decide the PI controller gain according the area control error and its change. To ease the design effort and improve the performance of the controller, the fuzzy/neural system is. Simulations on a two-area( or multi area) interconnected power system with different kinds of perturbation are performed. The performance of the proposed approach is verified from simulations and comparisons.
ECONOMIC LOAD DISPATCH USING PARTICLE SWARM OPTIMIZATION.
ECONOMIC LOAD DISPATCH USING GENETIC ALGORITHMS.
Abstract:
The problem of efficient, economic and optimal operation of a power system has always occupied an important position in the electric power industry. The problem of economic dispatch for thermal systems was solved by equalizing incremental fuel costs. In recent times there has been a rapid growth in new mathematical methods and availability of computational capability for solving problems of this nature. A number of iterative methods have been suggested for economic load scheduling. They are graphical method, the Newton rapson technique and the artificial neural network method. In this project the basic idea of loading the units with same incremental fuel costs for higher economy is considered by the artificial neural networks method. A program in this regard is developed for the solution of the problem of load scheduling. A system having three thermal generating units in considered. It has found that the ANN method of solution is fast and can be used for economic load dispatching.
POWER QUALITY EVENT DETECTION USING ARTIFICIAL INTELLIGENCE TOOLS.
TUNING OF CONTROLLERS FOR DISTRIBUTED GENERATION SYSTEMS.
STUDY AND ANALYSIS OF A MICRO GRID.
This project deals with the load frequency control of Distribution Generation Systems (DGS) consisting of Wind, Solar and Diesel Generator. The Diesel Generator is controlled either by P or PI or PID controllers to inject regulated amount of real power to the power system based on its rating. As a result it regulates the mismatch between the real power generation and the load which will lead to a minimum power and frequency deviations. A systematic way of deciding frequency bias parameter along with tuning the gains of the Proportional, Integral and Derivative controller (PID) based on Ziegler’s Nichols method and performance criterion ITSE is proposed. The simulation studies are carried out for different types of controllers, and disturbances and it is found that it regulates the frequency with less number of oscillations, minimum peak over shoot, and settling time in the case of PID controller.
DFIG BASED WIND POWER GENERATION.
PERFORMANCE ANALYSIS OF FUEL CELL.
MATHEMATICAL MODELLING AND SIMULATION ANALYSIS OF DC MOTOR (BLDC).
GENETIC ALGORITHM SOLUTION TO ECONOMIC DISPATCH WITH MULTIPLE FUEL OPTIONS.
DECOUPLED POWER FLOW ANALYSIS ALGORITHM IN MATLAB.
OPTIMAL PLACEMENT OF CAPACITORS IN POWER SYSTEM.
LOAD SCHEDULING USING ARTIFICIAL NEURAL NETWORKS /PSO/BFA.
LOAD-FLOW ANALYSIS BY ARTIFICIAL NEURAL NETWORKS.
Abstract:
Today an average transmission line is loaded more heavily than ever before and this has given rise to serious problem of voltage instability. In this project work, a noble method for power system voltage instability estimation and improvement using artificial neural networks (ANN) is presented and he effectiveness of the proposed method is demonstrated on Ward-Hale 6-bus, IEEE 14-bus and IEEE 30-bus test systems.
POWER SYSTEM FAULT DETECTION USING WAVE LET TRANSFORMS AND PROBABILISTIC NEURAL NETWORKS.
POWER SYSTEM STABILIZER BASED ON ARTIFICIAL NEURAL NETWORKS.
Abstract:
In this project an artificial neural network (ANN) based power system stabilizer (PSS) is proposed. The ANN based PSS combines the advantages of self-optimizing pole shifting adaptive control strategy and the quick response of ANN to introduce a new generation PSS. The multi-layer perceptron with error back propagation training method is employed in this PSS.
EVALUATION OF TRANSMISSION LOSSES IN RADIAL DISTRIBUTION SYSTEM.
ALLOCATING THE COSTS OF REACTIVE POWER PURCHASED IN AN ANCILLARY SERVICE MARKET BY MODIFIED Y BUS MATRIX METHOD.
In an open way in transmission system, the costs of each additional service will be unblocked. This method proposes a straight forward allocation of the cost of reactive power purchased by contract or from a bidding market. This method uses basic circuit theory and partitions the Y-bus matrix to decompose the voltage of the load buses with a view to calculating the reactive power sharing. This method is derived from the system equations without any assumptions i.e., lossless transmission line.
OPTIMAL PLACEMENT OF CAPACITOR BANKS IN RADIAL DISTRIBUTION NETOWRKS USING MICROGENETIC ALGORITHM AND FUZZY LOGIC.
LOAD FLOW STUDY OF A UPFC EMBEDDED SYSTEM.
TUNING OF PID CONTROLLERS IN AUTOMATIC GENERATION CONTROL.
LOAD-FLOW ANALYSIS BY ANN.
AUGMENTED LOAD FLOW ANALSIS.
AC/DC LOAD FLOW STUDIES.
MODELLING AND SIMULATION OF STATIC SYSNCHRONOUS SERIES COMPENSATOR (SSSC).
D- STATCOM IN DISTRIBUTION NETOERK FOR VOLTAGE / POWER FACTOR CONTROL (or) VOLTAGE SAG MITIGATION TECHNIQUES BY DISTRIBUTION STATIC COMPENSATOR AND DYNAMIC VOLTAGE RESTORER (DVR AND D-STATCOM).
This paper describes the theory and the modeling technique of a Flexible Alternating Current Transmission Systems (FACTS) device, namely, STATic synchronous Compensator (STATCOM) using an Electromagnetic Transients Program (EM") simulation package. The STATCOM, a solid-state voltage source inverter coupled with a transformer, is tied to a transmission line. A STATCOM injects an almost sinusoidal current, of variable magnitude, at the point of connection. This injected current is almost in quadrature with the line voltage, thereby emulating an inductive or a capacitive reactance at the point of connection with the transmission line. The functionality of the STATCOM model is verified by regulating the reactive current flow through it. This is useful for regulating the line voltage.
ELECTRICAL DRIVES (MACHINES) AND CONTROL
SPEED CONTROL OF D.C MOTOR USING FUZZY LOGIC.
SPEED CONTROL OF D.C MOTOR USING ANN.
EFFICIENCY OPTIMISATION OF INDUCTION MOTOR USING FUZZY LOGIC.
IMPROVEMENT IN DYNAMIC RESPONSE OF DC AND AC MOTORS USING FUZZY LOGIC.
This project describes a new methodology for speed control of DC motor using Fuzzy Based Set-Point weight method. Speed control of DC motor involves PID (proportional, integral and derivative) controllers and a fuzzy inference system, which tunes the PID controller. The control used is a Fuzzy Logic Based Set-Point weight Tuning of PID. The proportional, integral and derivative constants are determined for the normalized second order system and the fuzzy inference system adopted, determines the value of the weight that multiplies the set point for proportional action, based on current output error and its time derivative.The performance of this speed control method over the dynamic model of the separately excited DC motor is evaluated and the performance results are better as compared to the previous results.
SIMULATION OF VECTOR CONTROLLED SCHEME FOR SPEED CONTROL OF INDUCTION MOTOR DRIVE USING FUZZY LOGIC CONTROLLER.
SPEED CONTROL OF DC MOTOR USING FUZZY LOGIC ANDIDENTIFICATION AND CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORKS.
This report attempts to introduce the identification and control methods of induction machines. The emphasis of this paper is on the artificial neural network (ANN) based field oriented control (FOC). The principles of FOC and ANNs are briefly reviewed. Then the simulation strategies are discussed later. Simulation results reveal some features and show that the networks have good potential for use as an alternative to the conventional approaches.
DESIGN OF ARTIFICIAL NEURAL NETWORKS FOR FAULT DETECTION OF INDUCTION MOTOR.
MATHEMATICAL MODELLING AND SIMULATION ANALYSIS OF SLIP POWER RECOVERY DRIVE.
TRASINET ANALYSIS OF INDUCTION MOTOR USING MATLAB.
INDUCTION MOTOR STATOR RESISTANCE ESTIMATION.
DESIGN AND RELIABILITY ANALYSIS OF POWER CONVERTER FOR PROGRAMMING INTERFACE OF ECM.
GRAPHICAL USER INTERFACE BASED VISUAL DISPLAY OF OPERATION AND PERFORMANCE OF A 3 PHASE INDUCTION MOTOR.
IMPROVEMENT IN DYNAMIC RESPONSE OF DC AND AC MOTORS WITH PID CONTROLLER
LOAD BALANCING AND POWER FACTOR CORRECTION BY USING ACTIVE POWER FILTER
SIMULATION ANALYSIS OF THREE PHASE 6/4 SWITCHED RELUCTANCE MOTOR
PERFORMANCE OF PMBLDC MOTOR
CHAOS- STUDY ANALYSIS
ADAPTIVE CONTROLLERS DESIGN FOR PERMANENT MAGNET LINEAR SYNCHRONOUS MOTOR CONTROL SYSTEM
DESIGN OF POWER SYSSTEM STABILISER USING POLE PLACEMENT DESIGN
PERFORMANCE ANALYSIS OF UNIFIED POWER FLOW CONTRTOLLER
UNIFIED POWER FLOW CONTROLLER (UPFC) BASED DAMPING CONTROLLERS.
The Unified Power Flow Controller (UPFC) is a novel power transmission controller. The UPFC provides a full dynamic control of transmission parameters, voltage, line impedance and phase angle. This project presents a useful tool for power utilities engineers to evaluate the application of the UPFC, its impact on their power system and what would be the shunt and series ratings.
SENSORLESSCONTROL OF INDUCTION MOTOR USING ADAPTIVEFLUXOBSERVER, STATE SPACE AND KALMAN FILTER METHOD.
INTEGRAL STARTER GENERATOR (ISG).
SOLUTION TO SPARSE LINEAR EQUATIONS AND ITS APPLICATIONS TO FAST DECOUPLED LOAD FLOW SOLUTION ANALYSIS USING C AND C++
COMPUTER APPLICATIONS TO POWER SYSTEMS- A LOAD FLOW ANALYSIS
56. INTELLGIENT TECHNIQUES FOR ROBUST SELF TUNING CONTROLLERS
57. DESIGN OF FUZZY LOGIC CONTROLLER USING NEURAL NETWORK
58. PID CONTROLLER FOR IMPROVED PERFORMANCE BY USING MODEL REDUCTION METHOD
59. TUNING OF PID CONTROLLER USING FUZZY LOGIC
60. FUZZY LOGIC CONTROLLER FOR FLIGHT VEHCLE STABILIZATION
61. HAND WRITTEN TEXT CHARACTER RECOGNITION USING GENERALISED PID GRADIENT DECENT BACK PROPAGATION ALGORITHM 62. ARMATURE CONTROL OF DC MOTOR
63. CONTROL SYSTEM MODELING AND ANALYSIS USING MATLAB
64. OPTIMIZATION OF FUZZY LOGIC USING GENETIC ALGORITHM
65. DEVELOPMENT OF NEURAL NETWORKS FOR SYSTEM IDENTIFICATION
66. ARX IDENTIFICATION USING GA.
67. AUTOMATIC BRAK CONTROL SYSTEM USING ARTIFICIAL NEURAL NETWORKS
68. FUZZY LOGIC CONTROLLER FOR SEMI ACTIVE CONNTROL
69. ROBUST CONTROL OF GIVEN SYSTEM WITH ARTIFICIAL NEURAL NETWORKS
…….many other projects are available projects also available in the different areas and will be updated soon or will send e mail upon request.
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