Showing posts with label Power electronics. Show all posts
Showing posts with label Power electronics. Show all posts

How Online Labs Accelerate Electrical Engineering Learning

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Online labs have become a powerful tool for modern electrical engineering learning. They allow students to practice circuit design, experiment with virtual instruments, and test real-world scenarios without needing physical hardware. As digital education grows, online simulation tools help learners understand concepts like Ohm’s law, AC/DC circuits, control systems, and power electronics more effectively.

1. Accessible and Flexible Learning

Online labs allow electrical engineering students to work from anywhere, at any time. This flexibility is especially valuable for beginners learning basic circuits or advanced users testing electrical engineering simulations and power systems. Students no longer need expensive laboratory equipment; they only need an internet connection.

2. Real-Time Simulation and Experimentation

Modern online platforms provide high-quality virtual electrical labs that simulate real components such as resistors, capacitors, inductors, oscilloscopes, and signal generators. These interactive tools boost understanding of concepts like frequency response, filtering, and motor control. Because results are shown instantly, students learn faster and correct mistakes quickly.

3. Safe Environment for High-Risk Experiments

Working with electrical systems can sometimes be dangerous. Online labs create a safe environment where learners can study high-voltage systems, circuit protection, fault analysis, and electronics troubleshooting without risk. This makes online learning ideal for both beginners and advanced engineering students.

4. Enhancing Problem-Solving and Innovation

Online labs encourage creativity and problem-solving. Students can redesign, modify, or test circuits repeatedly, helping them build strong analytical skills. With integrated tools such as SPICE simulators, logic design editors, and real-time waveform analysis, online labs accelerate innovation and engineering confidence.

Conclusion

Online labs are transforming how electrical engineering is taught. They provide accessible, safe, and interactive learning experiences that help students master essential skills faster. In a world where engineering technology evolves rapidly, online labs are becoming a core component of digital education.

Application of Static Compensator to improve the Power Quality of Grid Connected Induction Generator Based Wind Farm

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Abstract-Due to large power demand and environmental issues, electrical power generation from renewable energy sources is receiving more attention. Wind energy generation systems are being integrated to power networks worldwide in increasing numbers. The power system is therefore facing new challenges due to intermittent nature of input source. One of these problems is voltage stability in wind farms equipped with squirrel cage based induction generators. Flexible AC Transmission System (FACTS) devices can be used for this problem. This paper, investigates the Static Synchronous Compensator (STATCOM) application to achieve continuous operation of wind turbine equipped with cage based induction generators during grid faults. The simulation has been done in MATLAB/Simulink framework. It is shown that a Static Synchronous Compensator (STATCOM) enhances voltage profile of power grid containing induction generator based wind farm.


This paper has demonstrated the effect of wind energy generation in power systems due to the uncertain characteristics of wind turbine system which causes variations in system voltage. Flexible AC Transmission System (FACTS) device such as Static Compensator "STATCOM" is power electronic based switch is used to control the reactive power and therefore bus voltages. Results are presented to show that the voltage at bus 25 drops to very low value of .91 pu due to insufficient reactive power but this bus voltage gets improved to 0.98 when STATCOM is incorporated in the system. Thus the voltage and hence power quality of the entire power system due to integration of STATCOM with wind generation is improved.

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GA-based Congestion Management in Deregulated Power System using FACTS Devices || IEEE project

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Abstract--Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment. There are two types of congestion management methodologies to relieve it. One is non-cost free and the other is cost free methods. Among them later method relives the congestion technically whereas the former is related with the economics. In this dissertation congestion is relieved using cost free method. One of the cost free techniques is installing FACTS devices into the system. FACTS devices have a great flexibility that can control the active power, reactive power and voltage simultaneously. SVC and UPFC are two FACTS devices which can relieve the congestion in the transmission lines efficiently. As the FACTS devices are costly hence it is required to find the optimal location for FACTS devices. In congestion management, the objective function is nonlinear hence in solving this function Genetic Algorithm (GA) technique is used to obtain the global optimal solution. This method is tested on IEEE test bus system with FACTS devices and it can be extended to any practical system.

Power system facts
genetic algorithm flowchart

To relieve the congestion in the lines multiple multi-types off ACTS devices are located optimally using genetic algorithm. The following conclusions have been derived:
• With the above proposal it is possible for ISO to find global optimal schedule with the minimum total generation cost.
• In some transmission lines power flows with the OPF generation schedule are very high. Such extra power flow scan be reduced by installing FACTS devices.
• Line loading with SVC is less as compared with the line loading with UPFC.
• It has also been observed that proposed algorithm is also suitable for large systems with more number of FACTS devices, and the results so obtained are found to be encouraging.

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Control of a SVC for Power Factor Correction || IEEE Power electronics project

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Abstract-The question of voltage quality is rapidly increasing.New technologies are introduced and we are facing many new power quality requirements. Flexible alternating current transmission systems (FACTS) are modern devices in power transmission and grid stability. The paper deals with the modelling of a static var compensator (SVC). For this purpose Matlab/Simulink was used. SVC is designed for the implementation in a three-phase 22 kV power line model. Several simulations and tests have been performed in order to examine the function of the proposed control algorithm and SVC system as a whole.
Power electronics projects
At the present, with the increasing demand for the electrical energy and rapidly growing number of new production technologies, the voltage quality requirements are becoming stricter. In order to evaluate the level of the power quality, STN EN 50160 standard was introduced, which stipulates the limits for voltage quality

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Power Quality Improvement in Switched Reluctance Motor Drive Using Vienna Rectifier

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Abstract—This paper presents the power quality improvement in the midpoint converter based switched reluctance motor (SRM) drive using a Vienna rectifier. A conventional bridge rectifier with midpoint converter based SRM drive produces very high level of harmonics content and low power factor at ac mains. The proposed Vienna rectifier with midpoint converter fed SRM drive improves the power factor at ac mains with low current harmonics. It also provides constant dc link voltage and balanced capacitor voltages. This SRM drive with input Vienna rectifier is modeled and its performance is simulated in Matlab/Simulink environment. Moreover, performance of Vienna rectifier is compared with a conventional bridge topology for SRM drive.
vienna rectifier

The Vienna rectifier has the following
Advantages.
• It provides constant dc voltage.
• It offers power factor near unity with very low
THD of input ac current.
• The dc capacitors voltages are balanced.

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MAXIMUM POWER POINT TRACKING BY ANN CONTROLLER FOR PHOTOVOLTAIC SYSTEM

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AbstracT
Solar energy is a clean and renewable energy. The cost of electricity from the solar array system is more expensive than the electricity from the utility grid. The amount of power generated from a photovoltaic system mainly depends on the following factors, such as temperatures and solar irradiances. Due to the high cost and low efficiency of a PV system, it is necessary to operate the PV system at maximum efficiency by tracking maximum power point at any environmental condition.
This proposed system improves the maximum power point tracking algorithm of a PV system under real climatic conditions. This proposed MPPT is based on the hill climbing method with neural network controller that  control the load voltage to ensure optimal operating points of a PV system. The proposed MPPT algorithm has been implemented by a neural network controller and it eliminates the drawbacks of hill climbing algorithm. The simulation result shows that the PV power system, using the proposed MPPT algorithm, is able to accurately track the maximum power points under rapid irradiance variations.

MAXIMUM POWER POINT TRACKING BY ANN CONTROLLER FOR PHOTOVOLTAIC SYSTEM

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AbstracT
Solar energy is a clean and renewable energy. The cost of electricity from the solar array system is more expensive than the electricity from the utility grid. The amount of power generated from a photovoltaic system mainly depends on the following factors, such as temperatures and solar irradiances. Due to the high cost and low efficiency of a PV system, it is necessary to operate the PV system at maximum efficiency by tracking maximum power point at any environmental condition.

This proposed system improves the maximum power point tracking algorithm of a PV system under real climatic conditions. This proposed MPPT is based on the hill climbing method with neural network controller that  control the load voltage to ensure optimal operating points of a PV system. The proposed MPPT algorithm has been implemented by a neural network controller and it eliminates the drawbacks of hill climbing algorithm. The simulation result shows that the PV power system, using the proposed MPPT algorithm, is able to accurately track the maximum power points under rapid irradiance variations.

DESIGN AND IMPLEMENTATION OF FULL BRIDGE BOOST RESONANT CONVERTER FOR PV APPLICATIONS

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One of the major concerns in the power sector is increasing power demands, but there is deficient in energy resources. Demand has increased for renewable sources of energy to be utilized along with conventional systems to meet the energy demand. Renewable sources like wind energy and solar energy are the prime energy sources available in surplus. The continuous use of fossil fuels has caused the fossil fuel deposit to be reduced and has drastically affected the environment depleting the biosphere and cumulatively adding to global warming.
Solar energy is abundantly available that has made it possible to harvest it and utilize it properly. Solar energy can be a standalone generating unit or can be a grid connected generating unit depending on the availability of a grid nearby. Thus it can be used to power rural areas where the availability of grids is very low. Another advantage of using solar energy is the portable operation whenever wherever necessary.

In order to tackle the present energy crisis, one has to develop an efficient manner in which power has to be extracted from the incoming solar radiation. The power conversion mechanisms have been greatly reduced in size in the past few years. 

A High Step Down Transformer less Single Stage Single Switch AC/DC Converter Using PID Controller

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This project presents a high step down transformer less single stage single switch
AC/DC converter using PID controller which is suitable for universal line applications. The presence of PID Controller and the presence of PWM switching technique improves efficiency, power factor and gives fast response. The proposed topologies are designed to work in discontinuous conduction mode to achieve almost a unity power factor and low total harmonic distortion of the input current.
The existing topology integrates a buck-type power-factor correction cell with a buck–boost dc/dc cell and part of the input power is coupled to the output directly after the first power processing. The DC output contains some oscillations. Also, switching frequency could not be set properly. Hence to overcome those problems, the controller is used in the proposed method.

In this proposed project, the main switch of the boost type PFC circuit converter handles the peak inductor current of DC/DC circuit rather than the super position of both the inductor currents. The proposed PID controller reduces the error according to the input power. Also, it maintains high efficiency and unity power factor. In this project the circuit is designed and simulated for required results.

Implementation of BUCK BOOST CONVERTER AND cascaded quasi z-source inverter for wind energy conversion system

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Wind is an inexhaustible natural energy source that human beings has used in one way or another for millennia. At present wind power plant which used wind energy to generate electricity were operated around the world. A great many wind farms with large numbers of wind turbines has been constructed in recent years around the world, and offshore wind farms were the becoming popular. A commonly used WG control system is based on the WG optimal power versus the rotating speed characteristic, which is usually stored in a microcontroller memory.
The WG rotating speed was measured then the optimal output power were calculated and compared to the actual WG output power. The resulting error has used to control a power interface. In the same way the WG output power was measured and the target rotor speeds for optimal power generation were derived from the WG optimal power versus rotor-speed characteristic. The target rotor speed has compared to the actual speed and the error was used to control a dc/dc power converter. In permanent-magnet (PM) WG systems, the output current and voltages are proportional to the electromagnetic torque and rotor speed respectively.
The rotor speed was calculated according to the measured WG output voltage, while the optimal output current is calculated using an approximation of the current versus the rotational-speed optimal characteristic. So that different types of controller are used to get the better operation characteristics. PI controller was eliminated forced oscillations and steady state error resulting in operation of on-off controller and P controller respectively. PD controller was Often derivative not taken from the error signal but from the system output variable. This was done to avoid effect of the sudden change of the reference input that would cause sudden change in the value of error signal. PID controller has all the necessary dynamics: fast reaction on change of the controller input (D mode), increase in control signal to lead error towards zero (I mode) and suitable action inside control error area to eliminate oscillations (P mode).
 PID controller is often used in industry, but also in the control of mobile objects (course and trajectory following included) when stability and precise reference following were required. Conventional autopilot was the foremost part PID type controllers. The general Z – source inverter network employed a unique impedance circuit to couple the converter main circuit to that of the power source in order to obtain the unique features that cannot be achieved using conventional VSI or CSI. The Z-source inverter (ZSI) has the capability of voltage boost and inversion in a single stage.

The unique feature about Z- source inverter was that the output voltage could be anywhere from zero to infinity. The inverter could perform both buck and boost operation and provide a wide range of output voltage which was not possible in conventional voltage source and current source inverters. The Z source inverter has nine permissible switching states which has an extra state compared to the conventional inverters. The extra switching two switches of the same leg is switched ON and conduct simultaneously which is not possible in conventional inverters.

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Modeling and Control of Quasi-Z-Source Inverter for Distributed Generation Applications

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Abstract—The voltage-fed Z-source inverter/quasi-Z-source inverter (qZSI) has been presented suitable for photovoltaic (PV) applications mainly because of its single-stage buck and boost capability and improved reliability. This paper further addresses detailed modeling and control issues of the qZSI used for distributed
generation (DG), such as PV or fuel cell power conditioning. The dynamical characteristics of the qZSI network are first investigated by small-signal analysis. Based on the dynamic model, stand-alone operation and grid-connected operation with closed-loop control methods are carried out, which are the two necessary operation modes of DG in distributed power grids. Due to the mutual limitation between the modulation index and shoot-through duty ratio of qZSI, constant capacitor voltage control method is proposed in a two-stage control manner. Minimum switching stress on devices can be achieved by choosing a proper capacitor voltage reference. Experimental results are presented for validation of the theoretical analysis and controller design. 

Index Terms—DC–AC converter, distributed generation (DG), quasi-Z-source inverter (qZSI), renewable energy source (RES).

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