APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK

Format: MS WORD | Chapter: 1-5 | Pages: 62 | 2525 Users found this project useful | Price NGN5,000

APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330kV NETWORK

Abstract

This work investigates an improved protection solution based on the use of artificial neural network on the 330kV Nigerian Network modelled using Matlab R2014a. Measured fault voltages and currents signals decomposed using the discrete Fourier transform implemented via fast Fourier transform are fed as inputs to the neural network. The output plots of the neural network shows its successful application to fault diagnosis (fault detection, fault classification and fault location). The neural networks application to fault location shows a mean square error of 3.5331 and regression value of 0.99976 which shows a very close relationship between the output and target values fed to the neural network. Unlike conventional protection schemes, the neural network can be adapted to distances which can cover the entire length of the protected line. Numerical assessment carried out on the neural network fault locator shows a reduced time of operation of 5.15miliseconds as compared to the 0.350seconds with the use of ordinary numerical relays. This work also investigates the adaptive auto reclosure scheme implemented using artificial neural network. The adaptive reclosure scheme has been adapted for use in the Nigerian Network successfully to distinguish transient and permanent faults. Simulation results prove that the adaptive reclosure scheme was able to detect a line-to-ground transient fault and clear this fault in 0.1s while the line-to-ground permanent fault is cleared after 0.14s. The auto reclosure scheme is designed using two separate neural networks, one nework to distinguish the faults either as transient or permanent fault, and using this fault distinguishing network as input to the second network to classify decision, either as ‘safe to reclose’ represented by logic ‘1’ or ‘do not reclose’ represented as logic ‘0’. The Fault diagnostic algorithm designed using artificial neural network (A.N.N.) for the 330kV network was tested on a 132kV network. Results show and prove that the algorithm is flexible and can be adopted to other networks.

CHAPTER ONE

INTRODUCTION

1.1 Background of the study

The demand for constant power supply in Nigeria is ever increasing; however the demand is met with lots of constraint. One of them being system faults. Faults on transmission line in particular is of great interest to the power holding company of Nigeria as more investment is put into restructuring the current infrastructure and also expanding existing ones.

The power sector of Nigeria is subdivided into policy, regulations, customers, operations. The operations division brings to light the activities of the transmission company of Nigeria that controls the high voltage delivery of power from generating plants to the substations for transmission to distribution stations. T.C.N handles a 330kv system capacity of 6870MW over a total distance of 5650Km[1], their focus is to maintain power system stability, reliability and sustainability.

The major protection schemes currently employed are distance protection, over current protection, differential protection e.t.c. distance protection being the predominant suffers from inaccuracy due to restraints of relays on protection schemes i.e. reach settings. The relay cannot fully adapt to fluctuations in power system conditions especially in parallel lines as well as distinguish between transient and permanent fault following a short circuit.

This work brings to view the application of artificial neural network for enhanced power system protection in regards to fault detection, fault location, and application of the adaptive auto reclosure schemes as opposed to conventional approach; travelling wave approach, synchronous compensators to name a few.

1.2 Statement of the Problem

Among several power system components, transmission line is one of the most important components of the power system network and is mostly affected by several types of faults. Generally, 80%-90% of the fault occurs on the transmission line and the rest of substation equipment and bus bar combined. The necessary requirement of all the power system is to maintain reliability of operation which may be done by detecting, classifying and isolating various faults occurring in the system. It is required that a corrective decision should be made by the protective device to minimize the period of trouble and limit outage time, damage and related problems. If any fault or disturbances occurred in the transmission is not detected, located, and eliminated quickly, it may cause instability in the power system and causes significant changes in system quantities like over-current, under or over voltage, power factor, impedance, frequency and power. The appropriate percentage of occurrence of single line to ground fault is about 70-80%, line to line to ground faults is 10-17%, line to line fault is 8-10% and three phase is 3%. The three faults occur rarely but if it exists in a system it is quite expensive.

Tags: APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK

DOWNLOAD THE COMPLETE PROJECT

Project information

Project Price

NGN5,000
Number of Pages

62
Number of Chapters

1-5
Additional Content

Abstract, Table of Content & Questionnaire

APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK

Not The Topic You Are Looking For?

For Quick Help Chat with Us Now!

+234 813 292 6373

+233 55 397 8005

Search for your project topic

HOW TO GET THE COMPLETE PROJECT ON APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK INSTANTLY

Click on the Download Button above.
Select any option to get the complete project immediately.
Chat with Our Instant Help Desk on +234 813 292 6373 for further assistance.
All projects on our website are well researched by professionals with high level of professionalism.

Here's what our amazing customers are saying

Abraham Ogbanje

NATIONAL OPEN UNIVERSITY OF NIGERIA

At first I was afraid.. But I discovered they are legit. I will bring more patronize

Very Good

Gbadamosi Solomon Oluwabunmi

Lasu

Swift delivery within 9 minutes of payment. Thank you project master

Excellent

Abdulrahman Jibrin

Nti Abaji

Nice one work prompt delivery tanx

Very Good

Peace From Unilag

I cried not knowing how to go about my project but the day i searched online and saw iprojectmaster, i called and got my full project in less than 15minutes, i was shocked!

Excellent

Azeez Abiodun

Moshood Abiola polytechnic

I actually googled and saw about iproject master, copied the number and contacted them through WhatsApp to ask for the availability of the material and to my luck they have it. So there was a delay with the project due to the covid19 pandemic. I was really scared before making the payment cause I’ve been scammed twice, they attended so well to me and that made me trust the process and made the payment and provided them with proof, I got my material in less than 10minutes

Very Good

Musa From Ahmadu Bello University

Thank you iprojectmaster for saving my life, please keep it up and may God continue to bless you people.

Excellent

Abdul Mateen Iddrisu

UDS

At first I taught is a site full of fraudsters until I saw my project in my Gmail after my payment.. THANK YOU IPROJECTMASTER and May God the almighty bless u guys abundantly

Excellent

Adam Alhassan Yakubu

UDS

Excellent work and delivery , I promise to share my testimonies everyone in need of this kind of work. You're the best

Excellent

Joseph M. Yohanna

Thanks a lot, am really grateful and will surely tell my friends about your website.

Excellent

JONNAH EHIS

Ajayi Crowther University, Oyo

I was scared at first when I saw your website but I decided to risk my last 3k and surprisingly I got my complete project in my email box instantly. This is so nice!!!

Excellent

View All Reviews

FREQUENTLY ASKED QUESTIONS

How do I get this complete project on APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK? Simply click on the Download button above and follow the procedure stated.
I have a fresh topic that is not on your website. How do I go about it?
How fast can I get this complete project on APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK? Within 15 minutes if you want this exact project topic without adjustment
Is it a complete research project or just materials? It is a Complete Research Project i.e Chapters 1-5, Abstract, Table of Contents, Full References, Questionnaires / Secondary Data
What if I want to change the case study for APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330KV NETWORK, What do i do? Chat with Our Instant Help Desk Now: +234 813 292 6373 and you will be responded to immediately
How will I get my complete project? Your Complete Project Material will be sent to your Email Address in Ms Word document format
Can I get my Complete Project through WhatsApp? Yes! We can send your Complete Research Project to your WhatsApp Number
What if my Project Supervisor made some changes to a topic i picked from your website? Call Our Instant Help Desk Now: +234 813 292 6373 and you will be responded to immediately
Do you assist students with Assignment and Project Proposal? Yes! Call Our Instant Help Desk Now: +234 813 292 6373 and you will be responded to immediately
What if i do not have any project topic idea at all? Smiles! We've Got You Covered. Chat with us on WhatsApp Now to Get Instant Help: +234 813 292 6373
How can i trust this site? We are well aware of fraudulent activities that have been happening on the internet. It is regrettable, but hopefully declining. However, we wish to reinstate to our esteemed clients that we are genuine and duly registered with the Corporate Affairs Commission as "PRIMEDGE TECHNOLOGY". This site runs on Secure Sockets Layer (SSL), therefore all transactions on this site are HIGHLY secure and safe!