PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
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
This paper describes a package of training materials for the introduction of Electronic Design Automation (EDA) tools for adaptive control systems. lt is based on the Mentor Graphics EDA software and aims to develop modern electronic controlled adaptive control systems. The major advantages of using the simulation method as a modern design approach, particularly where modern electronic devices are in short supply. are outlined in the paper and illustrated with: two examples of using EDA techniques for the realisation of adaptive control systems. Design methodologies are briefly considered, from traditional design approach through EDA to concurrent engineering.
A classical lead-lag power system stabilizer is used for demonstration in this paper. Three machines connected to infinite bus system is considered. The stabilizer parameters are selected in such a manner to damp the inter area and rotor oscillations. The problem of selecting the stabilizer parameters is converted in to a simple optimization problem with an eigen value based objective function and it is proposed to employ tabu search and simulated annealing for solving optimization problem. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigen values in the left hand side of the complex s-plane. The tuning results of various combinations of machines are compared. The effectiveness of the stabilizer tuned using the suggested technique, in enhancing the stability of power system. Stability is confirmed through eigen value analysis and simulation results.
A considerable amount of energy is present in the ocean waves pounding against the breakwater. Waves are generated by the force of the wind blowing over the ocean’s surface. The water’s surface acts like a great conveyor belt, delivering power from great distances. It is the power of the circular motion that must be converted to useful energy by a wave energy device such as Oscillating Water Column (OWC). The self cascade machine has the potential to be used as a Brushless Induction Generator (BIG). It has two stator windings namely the output winding and the excitation winding and a multi phase short circuited rotor winding. The output and excitation windings are wound for two different pole numbers. These stator windings could be in the form of two independent winding or a single winding. Excitation is provided through the excitation winding and power is extracted from output winding. Both the stator windings are decoupled from each. other. The present research work investigates the potentiality of electrical power generation for the optimal operation of ocean wave based fluid dynamic system integrated with brushless induction generator (BIG). It is aimed at achieving a constant DC voltage at the output irrespective of the variation in the prime mover speed.
This paper presents the cost effective production of submersible pump sets by decreasing the core length and increasing the efficiency of its prime mover, i.e.) squirrel cage induction motor by using Die-cast Copper Rotor (DCR) technology. By reducing the stack length of DCR the various electrical parameters including the low voltage performance are measured and compared with the existing Copper Fabricated Rotor (CFR) in a range between (3— 10) Hp 3 phase and 1 Hp single phase wet type water cooled induction motors in accordance with IS 9283. The overall performance of submersible pump sets is also practically verified in accordance with IS 8034. The cost comparison between the existing CFR and DCR’s are also reported and found that by merely replacing CFR with reduced core length DCR we can save about 15% of the initial cost with out sacrificing the overall efficiency of the pump set as indicated by IS 8034.
Because of the low maintenance and robustness, induction motors have many applications in the industries. However, many applications need variable speed operations. The required speed can be controlled by conventional controllers like P, PI and PID. PID controllers are very common in industrial systems applications. The tuning of these controllers is governed by system nonlinearities and continuous parameter variations. In this paper, a complete and rigorous comparison is made between three tuning algorithms. The PID controller was used in a speed control loop in a Field Oriented Control (FOC) scheme applied on an induction motor. The first method applies Particle Swarm Optimization (PSO) strategy, second method applies Genetic Algorithm (GA) and the other one makes use of Fuzzy Logic (FL) tuning scheme. FOC is then tested with the three schemes for three cases, with normal operating conditions, with a sudden change in load torque applied to the motor and with increased rotor resistance. The simulated design is tested using various tool boxes in MATLAB. The results obtained show that the PSO tuning technique provides better speed control performance under normal operating conditions as well as under the conditions where system parameter variations occur.
Multi-phase machines in adjustable speed drives is nowadays extensively considered for various applications such as electric ship propulsion, ‘more-electric aircraft’ and traction applications, including EVs and EHVs. In addition to well-known advantages, use of multi-phase machines enables independent vector control of a certain number of machines whose stator windings are connected in series in an appropriate manner, with the supply coming from a single voltage source inverter (VSI). The concept was initially proposed for a five-phase series-connected two-motor drive, but is applicable to any system phase number greater than or equal to five. The stability analysis is an important aspect of a drive system since the motor operates in wide range of frequencies with these types of control strategies. This paper is aimed at the evaluation of the stability of a five-phase series-connected two-motor drive system. The model of a five-phase series-connected machine is at first linearised using small signal modelling approach and is then represented in state space form. The state-space model thus obtained is then used to determine the transfer functions using the developed Matlab code. The classical stability tools are used to evaluate the control characteristics. Analytical, simulation and experimental results are provided to support the findings.
In this paper, the impact of Unified Power Flow Controller (UPFC) and series capacitor on transmission system reliability is examined. UPFC is used for natural sharing of power where as series compensator is used for reducing the effect of inductance. Addition of capacitance in series with the transmission line modifies the reactance of line. UPFC & series compensator are connected in series to each other to utilize more maximum power. Reliability analysis of the entire transmission system is being carried out by using load indices like Loss of Load Expectation (LOLE) & Loss of Energy Expectation (LOEE). A new noval approach of both components has been presented to show more improvement in the system reliability. A comparison has been carried out between the FACTS controllers (UPFC & TCSC (Thyristor Controlled Series Capacitor)), the results show a major improvement in the system reliability when using UPFC & series compensator.
This paper proposes a new and efficient method of solving the load flow problem of a distribution system. This method can be applied to both radial and mesh networks. A mesh network is converted to a radial network by breaking the loops through adding some dummy buses at the load breakpoints (LBPs).This method has two essential features, one is it uses active and reactive powers as flow variables rather than complex currents, thus reducing the computational effort by 50%, and the other is that it uses an improved solution strategy, thereby reducing the burden of mismatch calculations. which is an important component of the solution process. The proposed method is tested for different examples of distribution systems of both radial and weakly meshed configurations.
