scholarly journals A Novel Scheme of Multiple Identification of Faults in the Transmission Line

2020 ◽  
Vol 9 (9) ◽  
pp. 108-116
Keyword(s):  
Transmission Line ◽  
Power Quality ◽  
Power Supply ◽  
Intelligent System ◽  
Voltage Drop ◽  
Fault Analysis ◽  
Matlab Simulink ◽  
Current Voltage ◽  
Power Quality Disturbance ◽  
Voltage Swell

Recognition and arrangement of current-voltage, power fluctuations are critical functions for the safety of the power system (PS). Many perturbations of power quality (PQ) are unpredictable and ephemeral, and the demand for voltage and current recognition and arrangement is confirmed. By using Fast Fourier transform, expert systems, and neural networks, certain intelligent system technologies dominate fault analysis. As expected, there are five types of issues that include sag and swell, ripple, transient fluctuation, interruption and natural waveform. In this paper, we study the transmission line faults for voltage drop, voltage swell, and transient voltage. Power supply and traffic transmission leakage have been major problems for electricity providers and consumers. Much of the disturbance is non-stationary and intermittent, needing specialized methods and techniques for PQ disturbance research. This article provides a full collection of MATLAB / Simulink models to simulate different energy efficiency disturbances. This paper implements power quality disturbance in the model Matlab/ Simulink. The model provided can be used to simulate various disturbances of energy quality and waveforms for analysis and research into power quality, and to help to develop educational programs and understand the energy quality. This would concentrate on what are PQ problems and current approaches to evaluate and classify such problems.

Simulation of Power Quality Using S-Transform

2012 ◽  
Vol 429 ◽  
pp. 172-178
Author(s):  
Jin Hong Gu ◽  
Qi Liu ◽  
Chao Hui Cheng
Keyword(s):  
Power Quality ◽  
Classification Method ◽  
Voltage Sag ◽  
S Transform ◽  
Signal Characteristics ◽  
Power Quality Disturbance ◽  
Voltage Swell ◽  
Power Quality Disturbances ◽  
Voltage Spike

According to the signal characteristics of power quality disturbances, a detection and classification method based on S-transform is proposed. The S-transform module matrix is used to detect and classify power quality disturbance signal. Eight disturbance signals (voltage sag, voltage swell, momentary interruption, voltage spike, voltage notch, harmonic, inter-harmonic and oscillatory transients) which influence power quality have been simulated. The results show that the method can be used to localize the disturbance time and duration precisely and classify them simply.

scholarly journals Validation of photovoltaics powered UPQC using ANFIS controller in a standard microgrid test environment

2022 ◽  
Vol 12 (1) ◽  
pp. 92
Author(s):  
Sumana S ◽  
Dhanalakshmi R ◽  
Dhamodharan S
Keyword(s):  
Renewable Energy ◽  
Power Quality ◽  
Power Supply ◽  
Fuzzy Inference ◽  
Voltage Drop ◽  
Voltage Regulation ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Test Environment ◽  
Inference System

The power quality improvement becomes one of the important tasks while using microgrid as main power supply. Because the microgrid is combination of renewable energy resources. The renewable energy resources are intermittent in power supply and at the peak loading condition it has to supply the required power. So, the power quality problems may increase in that time. Out of all power quality issues the voltage drop and harmonic distortion is considered as the most serious one. In recent years unified power quality conditioner (UPQC) is emerged as most promising device which compensates both utility as well as customer side power quality disturbances in effective way. The compensating potentiality used in the UPQC is limited by the use of DC link voltage regulation and the conventional proportional integral (PI) controller. In this paper the compensating potentiality of the UPQC device is controlled by an adaptive neuro fuzzy inference system (ANFIS) control and it is powered from the available photovoltaics (PV) power generation. The effect of adding an intelligent UPQC is tested in the standard IEEE-14bus environment. MATLAB 2017b is used here for testing and plotting the simulation results.

scholarly journals Classification and Identification of Power Quality Disturbances Based on Stochastic Forest Model

2021 ◽  
pp. 383-391
Author(s):  
Xin Feng
Keyword(s):  
Random Forest ◽  
Power Quality ◽  
Power Supply ◽  
Power Grid ◽  
Stable Operation ◽  
Forest Model ◽  
Identification Method ◽  
Power Quality Disturbance ◽  
Power Quality Disturbances

With the emergence and use of a large number of new power electronic equipment, the power supply department has begun to pay extensive attention to the problem of power quality, and the majority of users have put forward higher requirements for the quality of power supply. This paper studies the classification and identification method of power quality disturbances based on random forest model. In this paper, according to IEEE power quality standard, the normal waveform and 16 common power quality disturbance waveforms are mathematically modeled, and the power quality disturbance signal is analyzed by S-transform. In this paper, the power quality disturbance identification algorithm based on random forest is optimized. Experimental data show that the optimized method has higher disturbance recognition accuracy and better anti noise ability. Therefore, using the power quality disturbance identification method proposed in this paper to monitor the power quality of power grid is of great significance to ensure the safe and stable operation of power grid and improve economic benefits.

Comparison of Two Topologies for Off-Grid Home

2014 ◽  
Vol 1049-1050 ◽  
pp. 798-801
Author(s):  
De Gang Zhang ◽  
De Hai Zhang ◽  
Shi Su ◽  
Song Zhou ◽  
Wen Bin Zhang ◽  
...  
Keyword(s):  
Power Quality ◽  
Electronic Devices ◽  
Power Source ◽  
Matlab Simulink ◽  
Grid Systems ◽  
Remote Areas ◽  
Current Voltage ◽  
Simulation Results ◽  
Quality Issues

Off-grid systems are proposed for the power shortage in remote areas. In an off-grid home, electronic devices can result in poor power quality issues. In this paper, two topologies of off-grid systems are presented and compared to chose more suitable one for an off-grid home. One compared topology is a system with inverter and transformer, and another one with the converter and inverter. We compared and examined their corresponding current, voltage waveforms, and the THD values based on the same power source and load by the Matlab/Simulink software. The simulation results show that the system with inverter and transformer is more suitable for off-grid home in remote areas.

scholarly journals Reconfigurable Power Quality Analyzer Applied to Hardware-in-Loop Test Bench

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5134
Author(s):  
Jahangir Badar ◽  
Saddaqat Ali ◽  
Hafiz Mudassir Munir ◽  
Veer Bhan ◽  
Syed Sabir Hussain Bukhari ◽  
...  
Keyword(s):  
Power Quality ◽  
Data Storage ◽  
Quality Data ◽  
Inrush Current ◽  
Renewable Energy Resources ◽  
Interactive Interface ◽  
Current Voltage ◽  
Voltage Swell ◽  
Quality Issues ◽  
Hardware In Loop

Integration of renewable energy resources and conventional grids leads to an increase in power quality issues. These power quality issues require different standards to be followed for accurate measurement and monitoring of various parameters of the power system. Conventional power quality analyzers (PQAs) are programmed to a particular standard and cannot be reconfigured by the end user. Therefore, conventional PQAs cannot meet the challenges of a rapidly changing grid. In this regard, a Compact RIO-based (CRIO-based) PQA was proposed, that can be easily reprogrammed and cope with the challenges faced by conventional PQAs. The salient features of the proposed PQA are a high processing speed, interactive interface, and high-quality data-storage capacity. Moreover, unlike conventional PQAs, the proposed PQA can be monitored remotely via the internet. In this research, a hardware-in-loop (HIL) simulation is used for performing the power-quality assessment in a systematic manner. Power quality indices such as apparent power, power factor, harmonics, frequency disturbance, inrush current, voltage sag and voltage swell are considered for validating the performance of the proposed PQA against the Fluke’s PQA 43-B.

scholarly journals Comparative investigation of single-phase Distributed Grid-connected with and without D-STATCOM

2021 ◽  
Vol 309 ◽  
pp. 01045
Author(s):  
Kalagotla Chenchireddy ◽  
Khammampati R Sreejyothi ◽  
V Kumar
Keyword(s):  
Power System ◽  
Power Quality ◽  
Power Supply ◽  
Single Phase ◽  
Comparative Investigation ◽  
Power Devices ◽  
Voltage Swell ◽  
Quality Issues ◽  
Basic Power ◽  
Custom Power

Power quality becomes one of the significant contemplations in the power system. It has become significant particularly with the presentation of advanced devices. These high-level advanced devices are sensitive to the nature of the power supply. The power quality refers to the voltage, current, and frequency at the evaluated value. If any variation occurred in these quantities the standard rating is considered as the power quality problem. The power quality issues like loss of sine, voltage sag, voltage swell, short interruption, long interruption, flicker, and harmonics. To overcome these power quality issues, we like to utilize custom power devices on the distribution side. Among various custom power devices, Distribution Static Synchronous Compensator is liked to use for expanding the power quality, on account of their basic power supply at the circulation power system which can’t be interfered with development and less complexity. This paper presents the near research of single-phase with and without D-STATCOM by utilizing MATLAB Simulink programming.

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