Intelligent Techniques for the Analysis of Power Quality Data in Electrical Power Distribution System

2012 ◽  
pp. 563-575
Author(s):  
Zahir Javed Paracha ◽  
Akhtar Kalam
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Power Industry ◽  
Quality Data ◽  
Power Utility ◽  
Power Distribution System ◽  
The Real

This chapter is about the intelligent techniques for the analysis of power quality problems in electrical power distribution system. The problems related with electrical power industry are becoming more widespread, complex, and diversified. The behaviour of power distribution systems can be monitored effectively using artificial intelligence techniques and methodologies. There is a need of understanding the power system operations from power utility perspectives and application of computational intelligence methods to solve the problems of the power industry. The real power quality (PQ) data is taken from a power utility in Victoria Australia. Principal Component Analysis Technique (PCAT) is used to reduce the large number of PQ data attributes of the power distribution system. After the pre-processing of PQ data using PCAT, intelligent computational techniques will be used for the analysis of power quality data. Neural network techniques will be employed to estimate the values of PQ parameters of the power distribution system. The Feed Forward Back Propagation (FFBP) neural network and Recurrent Neural Networks (RNN) are used for intelligent estimation of PQ data. The results obtained through these intelligent techniques are compared with the real data of power utility in Victoria, Australia for stability, reliability and enhanced power systems performance.

scholarly journals Multilevel diode clamped D-Statcom for power quality improvement in distribution systems

2021 ◽  
Vol 12 (1) ◽  
pp. 217
Author(s):  
Jasti Venkata Ramesh Babu ◽  
Malligunta Kiran Kumar
Keyword(s):  
Power Quality ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Electrical Power ◽  
Reference Signal ◽  
Power Distribution System ◽  
Received Power ◽  
Multi Level ◽  
Result Analysis

Power quality is one big issue in power system and a big challenge for power engineers today. Electrical consumers (or otherwise load devices) expect electrical power received power should be of first-class. Bad quality in electrical power directs to fuse blowing, machine overheating, increase in distribution losses, damage to sensitive load devices and many more. DSTATCOM is one of the FACTS controllers designed to improve the quality in electrical power and thus improving the performance of distribution system. This paper presents a multilevel DSTATCOM topology to enhance power quality in power distribution system delivering high-quality power to the customer load devices. Diode-clamped structure is employed for multi-level DSTATCOM structure. ‘PQ’ based control strategy generates reference signal which is further processed through level-shifted multi-carrier PWM strategy for the generation of gate pulses to multi-level DSTATCOM structure. Simulation work of proposed system is developed and the result analysis is presented using MATLAB/SIMULINK software. Performance of multi-level DSTATCOM topology is verified with fixed and variable loads.

scholarly journals Fault Signal Recognition in Power Distribution System using Deep Belief Network

2018 ◽  
Vol 29 (1) ◽  
pp. 459-474
Author(s):  
T.C. Srinivasa Rao ◽  
S.S. Tulasi Ram ◽  
J.B.V. Subrahmanyam
Keyword(s):  
Neural Network ◽  
Performance Analysis ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Deep Belief Network ◽  
Support Vector ◽  
Neural Network Models ◽  
Power Distribution System ◽  
Belief Network

Abstract Nowadays, electrical power system is considered as one of the most complicated artificial systems all over the globe, as social and economic development depends on intact, consistent, stable and economic functions. Owing to diverse random causes, accidental failures occur in electrical power systems. Considering this issue, this article aimed to propose the use of deep belief network (DBN) in detecting and classifying fault signals such as transient, sag and swell in the transmission line. Here, wavelet-decomposed fault signals are extracted and the fault is diagnosed based on the decomposed signal by the DBN model. Further, this article provides the performance analysis by determining the types I and II measures and root-mean-square-error (RMSE) measure. In the performance analysis, it compares the performance of the DBN model to various conventional models like linear support vector machine (SVM), quadratic SVM, radial basis function SVM, polynomial SVM, multilayer perceptron SVM, Levenberg-Marquardt neural network and gradient descent neural network models. The simulation results validate that the proposed DBN model effectively detects and classifies the fault signal in power distribution system when compared to the traditional model.

Mitigation of Voltage Fluctuation in Power Distribution System Using D-STATCOM

2016 ◽  
Vol 2 (3) ◽  
pp. 530
Author(s):  
Yahia M Esmail ◽  
S K Elsayed ◽  
M A Mehanna
Keyword(s):  
Power Quality ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Test System ◽  
Control Technique ◽  
Production Environment ◽  
Major Power ◽  
Voltage Fluctuations ◽  
Power Distribution System

<p class="DefaultParagraphFont1" align="center"> </p><p align="center"><strong><em>Abstract</em></strong></p><p><em>         Electrical Power Quality is becoming intensity concerned from both electric utilities and customers. Voltage Fluctuations is a major power quality problem as it has a significant impact on both the equipment and production environment. This work describes the voltage control technique of mitigation of voltage fluctuations and clearing fault using Distribution Static Synchronous Compensator (DSTATCOM). The test system used is IEEE 9-bus distribution system clarified optimal location of DSTATCOM by using Artificial Neural Network (ANN). A simulation was done using MATLAB/Simulink software to obtain the results..</em></p><p> </p>

scholarly journals Non-isolated load sharing direct current system operation with use of the auctioneering diodes

2019 ◽  
Vol 28 ◽  
pp. 01037 ◽  
Author(s):  
Maciej Kozak
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Heat Dissipation ◽  
Current System ◽  
Electrical Power ◽  
Experimental System ◽  
Laboratory System ◽  
Simulation Studies ◽  
Power Distribution System ◽  
Electrical Systems

The paper presents the background and results of numerical simulation and experimental research of a system using auctioneering diodes used to distribute the electrical power between two power converters connected with intermediate circuits in parallel, direct connection. Presented non-isolated power distribution system which utilizes blocking diodes placed in DC branches are used in the selected ship's electrical systems, however, they create problems related to control and handling ground faults. Another issue occurring during the operation of this type of systems is increased heat dissipation while diodes switching. Selected problems related to the operation of experimental system have been identified by means of simulation studies and experiments carried out in a 11 kVA laboratory system and the theoretical basis along with results are provided in the article.

scholarly journals FCM and Statistical Based Approach for Classification and Location of Faults in Electrical Distribution System

2011 ◽  
pp. 64-68
Author(s):  
Pratul Arvind ◽  
Rudra prakash Maheswari
Keyword(s):  
Expectation Maximization ◽  
Power Distribution ◽  
Distribution System ◽  
Fault Location ◽  
Electrical Power ◽  
Electrical Power System ◽  
Power Distribution System ◽  
Electric Power Distribution ◽  
Node Distribution ◽  
System Restoration

Electric Power Distribution System is a complex network of electrical power system. Also, large number of lines on a distribution system experiences regular faults which lead to high value of current. Speedy and precise fault location plays a pivotal role in accelerating system restoration which is a need of modern day. Unlike transmission system which involves a simple connection, distribution system has a very complicated structure thereby making it a herculean task to design the network for computational analysis. In this paper, the authors have simulated IEEE 13- node distribution system using PSCAD which is an unbalanced system and current samples are generated at the substation end. A Fuzzy c-mean (FCM) and statistical based approach has been used. Samples are transformed as clusters by use of FCM and fed to Expectation- Maximization (EM) algorithm for classifying and locating faults in an unbalanced distribution system. Further, it is to be kept in mind that the combination has not been used for the above purpose as per the literature available till date.

Design of Z-Source Inverter-Based Dynamic Voltage Restorer Circuitry with R-SOGI Control Scheme for Enrichment of Power Quality

2021 ◽  
pp. 2150195
Author(s):  
A. Sathik Basha ◽  
M. Ramasamy
Keyword(s):  
Power Quality ◽  
Power Distribution ◽  
Distribution System ◽  
Voltage Sag ◽  
Nonlinear Loads ◽  
Dynamic Voltage Restorer ◽  
Power Distribution System ◽  
Voltage Restorer ◽  
Control Scheme ◽  
Dynamic Voltage

Increased utilization of nonlinear loads in the power distribution system with profound integration of renewable energy requires improved power quality control. This paper proposes a Reformed Second Order Generalized Integrated (R-SOGI) control scheme for enhancing the output of the Dynamic Voltage Restorer (DVR) for the objective of achieving the desired sinusoidal voltage wave shape at the common point of services and harmonic reduction. The DVR incorporates a Solar Photovoltaic (SPV) system using the Z-source Inverter (ZSI), providing the necessary active power to mitigate the voltage sag/swell and power demand. ZSI offers step-down as well as step-up abilities, it makes the converters to operate in the conditions of shoot-through. Therefore, the application of ZSI-based DVR topology seems very promising. The compensating reference voltage is generated by the R-SOGI algorithm, which offers superior output under conditions for grid voltage irregularities, including voltage sag/swell and unbalanced and distorted utility grid voltages. In comparison to DVR based on the VSI voltage inverter (VSI), the response from ZSI-DVR to a reduction of voltage distortions and harmonics is investigated. An experimental SPV ZSI-DVR prototype is developed in the laboratory to check the effectiveness of the controller and is tested under balanced and unbalanced supply and dynamic load conditions.

Game-Based Control Approach for Smart Grid

2014 ◽  
pp. 429-446
Keyword(s):  
Game Theory ◽  
Smart Grid ◽  
Power Distribution ◽  
Distribution System ◽  
Electrical Power ◽  
Power Distribution System ◽  
Control Approach ◽  
Smart Grid Communications ◽  
Electric Power Distribution ◽  
Network Communications

The concept of smart grid to transform the old power grid into a smart and intelligent electric power distribution system is, currently, a hot research topic. Smart grid offers the merging of electrical power engineering technologies with network communications. Game theory has featured as an interesting technique, adopted by many researchers, to establish effective smart grid communications. The use of game theory has offered solutions to various decision-making problems, ranging from distributed load management to micro storage management in smart grid. Interestingly, different researchers have different objectives or problem scopes for adopting game theory in smart grid. This chapter explores the game-based approach.

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