This document discusses applying artificial intelligence techniques to power system protection. It notes that while microprocessor technology has improved relay criteria and filtering, it has not significantly improved security, dependability, and operation speed. The main challenge is balancing security against speed and dependability. Artificial intelligence could help by mimicking human intelligence through numeric, non-numeric, and symbolic computations. Three relevant AI techniques are expert systems, which use if-then rule bases and inference engines, artificial neural networks, which are trained on actual cases rather than relying on rule bases, and fuzzy logic, which allows intermediate values between binary states.
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSvivatechijri
In today’s world we require a continuous & definitive supply of electricity for proper functioning in
modern and advanced society. AI (AI) may be a field that was found on the idea of human intelligence where AI
precisely simulates natural intelligence. AI (Artificial Intelligence) is the mixture of expert task, mundane task
and formal task. Power Systems were used from the late 19th century and that they are one among the essential
needs that we'd like in our modern, developing day to day life. Power systems are used for transmission and
delivering the electricity to all or any machines. AI (Artificial Intelligence) plays a serious role in power systems
where they solve different problems in power systems like scheduling, calculating, statistics, forecast. As AI
(Artificial Intelligence) was being developed in several fields we could see the impact that it made on the facility
systems also, the humanly solved mathematical functions were solved by machines and every one the tasks are
performed by the machines.AI techniques became popular for solving different problems in power systems like
control, planning, scheduling, forecast, etc. These techniques can affect difficult tasks faced by applications in
modern large power systems with even more interconnections installed to satisfy increasing load demand. The
appliance of those techniques has been successful in many areas of power grid engineering
In today's era of advanced technology, Artificial Intelligence has been proven as a boon for various fields. Utilization of AI in power system is the need of upcoming future.
ARTIFICIAL INTELLIGENCE IN POWER SYSTEMSvivatechijri
In today’s world we require a continuous & definitive supply of electricity for proper functioning in
modern and advanced society. AI (AI) may be a field that was found on the idea of human intelligence where AI
precisely simulates natural intelligence. AI (Artificial Intelligence) is the mixture of expert task, mundane task
and formal task. Power Systems were used from the late 19th century and that they are one among the essential
needs that we'd like in our modern, developing day to day life. Power systems are used for transmission and
delivering the electricity to all or any machines. AI (Artificial Intelligence) plays a serious role in power systems
where they solve different problems in power systems like scheduling, calculating, statistics, forecast. As AI
(Artificial Intelligence) was being developed in several fields we could see the impact that it made on the facility
systems also, the humanly solved mathematical functions were solved by machines and every one the tasks are
performed by the machines.AI techniques became popular for solving different problems in power systems like
control, planning, scheduling, forecast, etc. These techniques can affect difficult tasks faced by applications in
modern large power systems with even more interconnections installed to satisfy increasing load demand. The
appliance of those techniques has been successful in many areas of power grid engineering
In today's era of advanced technology, Artificial Intelligence has been proven as a boon for various fields. Utilization of AI in power system is the need of upcoming future.
A continuous and reliable supply of electricity is necessary for the functioning of today’s modern and advanced society. Since the early to mid1980s, most of the effort in power systems analysis has turned away from the methodology of formal mathematical modelling which came from the areas of operations research, control theory and numerical analysis to the less rigorous and less tedious techniques of artificial intelligence (AI). Power systems keep on increasing on the basis of geographical regions, assets additions, and introduction of new technologies in generation, transmission and distribution of electricity. AI techniques have become popular for solving different problems in power systems like control, planning, scheduling, forecast, etc. These techniques can deal with difficult tasks faced by applications in modern large power systems with even more interconnections installed to meet the increasing load demand. The application of these techniques has been successful in many areas of power system engineering.
With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis.
International Journal of Electrical and communication engineering (IJECE)MiajackB
International Journal of Electrical and communication engineering (IJECE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The Journal of Electrical and communication engineering (IJECE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Applied Control, Electrical and Electronics Engineer...ijaceeejournal
The International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
“Reliability improvement in distribution system using smart grid technology”Priya Rachakonda
• The impact of smart grid technology on the reliability of a radial distribution system is
studied.
• The smart grid technology is applied and reliability indices of individual feeders and
overall RBTS Bus 2 system are evaluated and concluded that the percentage reduction
of ENS value is increased from without automation to with automation and further from
with automation to the smart grid.
A continuous and reliable supply of electricity is necessary for the functioning of today’s modern and advanced society. Since the early to mid1980s, most of the effort in power systems analysis has turned away from the methodology of formal mathematical modelling which came from the areas of operations research, control theory and numerical analysis to the less rigorous and less tedious techniques of artificial intelligence (AI). Power systems keep on increasing on the basis of geographical regions, assets additions, and introduction of new technologies in generation, transmission and distribution of electricity. AI techniques have become popular for solving different problems in power systems like control, planning, scheduling, forecast, etc. These techniques can deal with difficult tasks faced by applications in modern large power systems with even more interconnections installed to meet the increasing load demand. The application of these techniques has been successful in many areas of power system engineering.
With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis.
International Journal of Electrical and communication engineering (IJECE)MiajackB
International Journal of Electrical and communication engineering (IJECE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The Journal of Electrical and communication engineering (IJECE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
International Journal of Applied Control, Electrical and Electronics Engineer...ijaceeejournal
The International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
“Reliability improvement in distribution system using smart grid technology”Priya Rachakonda
• The impact of smart grid technology on the reliability of a radial distribution system is
studied.
• The smart grid technology is applied and reliability indices of individual feeders and
overall RBTS Bus 2 system are evaluated and concluded that the percentage reduction
of ENS value is increased from without automation to with automation and further from
with automation to the smart grid.
A Study of Intrusion Detection System Methods in Computer NetworksEditor IJCATR
Intrusion detection system (IDS) is an application system monitoring the network for malicious or intrusive activity. In these
systems, malicious or intrusive activities intrusion can be detected by using information like port scanning and detecting unusual traffic,
and then they can be reported to the network. Since intrusion detection systems do not involve predefined detection power and intrusion
detection, they require being intelligent. In this case, systems have the capability of learning. They can analyze packages entering the
network, and detect normal and unusual users. The common intelligent methods are neural networks, fuzzy logic, data mining techniques,
and genetic algorithms. In this research, the purpose is to study various intelligent methods.
Artificial Neural Network and its Applicationsshritosh kumar
Abstract
This report is an introduction to Artificial Neural
Networks. The various types of neural networks are
explained and demonstrated, applications of neural
networks like ANNs in medicine are described, and a
detailed historical background is provided. The
connection between the artificial and the real thing is
also investigated and explained. Finally, the
mathematical models involved are presented and
demonstrated.
EMPLOYEE TRUST BASED INDUSTRIAL DEVICE DEPLOYMENT AND INITIAL KEY ESTABLISHMENTIJNSA Journal
An efficient key management system is required to support cryptography. Most key management systems use either pre-installed shared keys or install initial security parameters using out-of-band channels. These methods create an additional burden for engineers who manage the devices in industrial plants. Hence, device deployment in industrial plants becomes a challenging task in order to achieve security. In this work, we present a device deployment framework that can support key management using the existing trust towards employees in a plant. This approach reduces the access to initial security parameters by employees; rather it helps to bind the trust of the employee with device commissioning. Thus, this approach presents a unique solution to the device deployment problem. Further, through a proof-of-concept implementation and security analysis using the AVISPA tool, we present that our framework is feasible to implement and satisfies our security objectives.
EMPLOYEE TRUST BASED INDUSTRIAL DEVICE DEPLOYMENT AND INITIAL KEY ESTABLISHMENTIJNSA Journal
An efficient key management system is required to support cryptography. Most key management systems use either pre-installed shared keys or install initial security parameters using out-of-band channels. These methods create an additional burden for engineers who manage the devices in industrial plants. Hence, device deployment in industrial plants becomes a challenging task in order to achieve security. In this work, we present a device deployment framework that can support key management using the existing trust towards employees in a plant. This approach reduces the access to initial security parameters by employees; rather it helps to bind the trust of the employee with device commissioning. Thus, this approach
presents a unique solution to the device deployment problem. Further, through a proof-of-concept implementation and security analysis using the AVISPA tool, we present that our framework is feasible to implement and satisfies our security objectives.
An efficient key management system is required to support cryptography. Most key management systems use either pre-installed shared keys or install initial security parameters using out-of-band channels. These methods create an additional burden for engineers who manage the devices in industrial plants. Hence, device deployment in industrial plants becomes a challenging task in order to achieve security. In this work, we present a device deployment framework that can support key management using the existing trust towards employees in a plant. This approach reduces the access to initial security parameters by employees; rather it helps to bind the trust of the employee with device commissioning. Thus, this approach presents a unique solution to the device deployment problem. Further, through a proof-of-concept implementation and security analysis using the AVISPA tool, we present that our framework is feasible to implement and satisfies our security objectives.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
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Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
ARTIFICIAL INTELLIGENCE APPLICATION TO POWER SYSTEM PROTECTION
1. ARTIFICIAL INTELLIGENCE APPLICATION
TO POWER SYSTEM PROTECTION
INTRODUCTION:
The microprocessor technology brings unquestionable improvements of the
protection relays- criteria signals are estimated in a shorter time; input signals are
filtered-out more precisely; it is easy to apply sophisticated corrections; the
hardware is standardized and may communicate with other protection and control
systems; relays are capable of self-monitoring. All this, however, did not make a
major breakthrough in power system protection as far as security, dependability and
speed of operation are considered.
PROBLEMS IN POWER SYSTEM PROTECTION:
The problems result mainly from the trade-off between the security demand (no
false tripping), and the speed of operation and the dependability (no missing
operations) requirements. The more secure is the relay (both the algorithm and its
particular settings), the more it tends to misoperate or operate slowly. And vice
versa, the faster is the relay, the more it tends to operate falsely.
ARTIFICIAL INTELLIGENCE METHODS:
AI is a subfield of computer science that investigates how the though and action of
human beings can be mimicked by machines [5]. Both the numeric, non-numeric
and symbolic computations are included in the area of AI. The mimicking of
intelligence includes not only the ability to make rational decisions, but also to deal
with missing data, adapt to existing situations and improve itself in the long time
horizon based on the accumulated experience.
Three major families of AI techniques are considered to be applied in modern power
system protection are.
EXPERT SYSTEMS:
The first expert systems included a few heuristic rules based on the expert s
experience. In such systems, the knowledge takes the form of so called production
rules written using the If.. then.. syntax (knowledge base). The system includes also
the facts which generally describe the domain and the state of the problem to be
solved (data base). A generic inference engine uses the facts and the rules to
deduce new facts which allow the firing of other rules
ARTIFICIAL NEURAL NETWORKS:
The ANNs are very different from expert systems since they do not need a
knowledge base to work. Instead, they have to be trained with numerous actual
cases. An ANN is a set of elementary neurons which are connected together in
different architectures organized in layers what is biologically inspired .