Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System
Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh
A New Hybrid Cuckoo Search-Artificial Bee Colony Approach for Optimal Placing of UPFC Considering Contingencies
Efficiency and Investment Comparison of Monocrystalline, Polycrystalline, and Thin Film Solar Panel Types at Karabuk Conditions
Design of a Grid Connected PV System and Effect of Various Parameters on Energy Generation
Comparative Analysis of Harmonics by Shunt Active Filter using Resonant Current Control in Distribution System
Optimal Distributed Generation Placement for Maximum Loss Reduction using Teaching Learning Based Optimization through Matlab GUI
Development of Power Flow Controller for Grid Connected Renewable Energy Sources Using Lyapunov function
Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)
Design of PV-Wind Hybrid Micro-Grid System for Domestic Loading
Applications of Artificial Neural Networks in various areas of Power System; A Review
This work presents Ferranti effect simulation of an unloaded long transmission line using transmission line hardware simulator. From the conducted experiment with transmission line simulator, the values of three phase voltages at sending end and receiving end were found, which proves the Ferranti effect. Further in this work, the influence of the Ferranti effect on the voltage at the receiving end when changing the line length is shown and how to overcome this effect by compensating an inductive reactor and a switching transformer taking into account a 400 km transmission line. It is concluded that shunt inductive reactance compensation will be helpful to reduce the Ferranti effect in long transmission line and maintain the acceptable voltage at the receiving end. Tap changing transformer will be useful in medium transmission line to maintain the voltage at the receiving end. This will reduce the voltage stress on the insulators in transmission system.
Solar PV power generation systems are connected to the load using a two-stage interleaved boost converter (IBC). Maximum Power Point Tracking (MPPT) controllers are used in IBC circuits to extract the most power possible from the source. This paper examines the simulation of a PV based two stage IBC for EV applications using perturb and observe (P&O) MPPT algorithm. At a constant temperature of 25 oC, a solar PV device with various irradiations is used. The PWM technique is used to produce pulses for the IBC's MOSFET. The conventional boost converter (BC) is unreliable in high-power applications. To reduce the stress of switches, two-stage 1800 phase shifting techniques have been used. The IBC method should be used in high-power applications to increase efficiency. Complete simulation has been analyzed with a switching frequency at 25 kHz. To boost the output voltage to 172.4 V, simulate and run 1 second of PV-based two-stage IBC with RL load. The phase shifting approach has been used to eliminate overall losses and harmonics. The simulated output results are obtained by the saturated waveform. Based on the interleaved approach, the overall efficiency of 88.5 percent has been obtained with the entire simulation simulated with MATLAB/Simulink software.
This paper proposes Four-Leg based Three-Phase Four-Wire Shunt Active Power Filter (4L3P4W SAPF) supply scheme tied with Photovoltaic arrangement (PV) employed using Incremental Conductance (INC) for maximum energy point tracking technique with shunt active power filter is linked at the point of common coupling (PCC) to a rectifier feed R-L nonlinear load. The 3P4W electrical system has been extensively used to deliver power to single-phase and/or three-phase loads. Power quality is a set of conditions or confines of electrical properties that allows electrical devices to function in their designed manner without loss of performance. There are many possible ways in which electric power can be of poor quality and many more causes and effects of such poor quality power. Preferably, the voltage is fed as a sinusoidal having a frequency and a magnitude given by the international standards or system specifications. Power quality disturbance is produced by the inverters and the converters. Three-phase four-wire SAPF compensates for reactive power, mitigates harmonics, power factor correction and neutral current. The proposed control technique combine together self-tuningfilter (STF) and direct-quadrature-zero (dq0) principle (referred here as STF-dq0), allowing the controlled shunt active power filter (SAPF) to perform effectively under distorted source voltages and unbalanced load conditions. Conventional controller tuning process is difficult and fails to perform satisfactorily under supply voltage variation conditions. In this paper, artificial neural network (ANN) controller is proposed to regulate DC link voltage due to its self-adapting and rapid calculation characteristics that allow the controller to handle high nonlinearity and uncertainty in a non-linear system. Weights of a neuron are adapted to minimize total harmonic distortion (THD) of source current. The proposed control system is simulated using MATLAB/Simulink environment.
Everyday, newer technologies are being developed in the field of power generation. Engineers are encouraged to find better or alternative solutions to the existing system. The ultimate aim of engineers today is to replace power generation with non-conventional energy harvesting methods as the reserves of fossil fuels like oil, coal will soon be depleted, and they also lead to more pollution. Also, non-conventional energy provides a clean environment to the future generation. In renewable energy, solar energy application has a wider use for high-efficiency energy conversion. Photovoltaic devices absorbs the energy of photons from the sun, and the energy conversion of the solar cell is based on the band gap of the PV materials. A little amount of thermal energy is produced in the solar cell. When there is no sunlight, power generation is affected. With the utilisation of thermal energy for the solar and compensation of power with solar, the hybrid model is a better solution. The use of thermal energy in the production of electricity makes it possible to use the principles of the Seebeck effect. According to Seebeck effect, temperature difference is obtained in two ends of dissimilar metals, on applying a potential difference. The Peltier module follows the principles of the Seebeck effect. This paper analyses the combination of solar and Peltier module and reviews their performance. In addition, this paper would present the challenges and improvements in the field of the solar and Peltier module.
The rapid evolution of electronic devices and integration technologies, together with the development of wireless systems, have been removing structural constraints and leading to the implementation of “smart” environments around us. Till date, battery has been the source of power for portable electronics. Due to the shortcomings of conventional batteries and their limited life span, devices are less reliable because they can stop working at any time without warning, and battery replacement is time consuming and costly, especially when the device is in a remote location. The demand has grown for a light weight power supply with low volume, high energy density, and a long lifetime. Energy harvesting techniques are the most promising alternative for powering low-power devices and storage reservoirs in response to this need. Energy harvesting, the collection of small amounts of ambient energy to power wireless devices, is a very promising technology for applications where batteries are impractical, such as body sensor networks and inaccessible remote systems. The performance and potential of energy harvesting devices depend strongly on the performance and specific properties of materials. Low power is needed for all hand held devices so that low vibration energy is enough to power these devices.