Transient stability analysis on a multi machine system in psateSAT Journals
Abstract
Modern power system are subject to large disturbances such as three phase short circuit faults. When a fault occurs on a system
the generators rotor angle becomes unstable and thus it losses synchronism with the system and it becomes unstable. Thus
transient stability analysis can be performed on a system in order to understand the generators performance when subjected to a
short circuit fault. When the system is subjected to a fault the generator experiences transient oscillations in rotor speed and
angle which can be effectively suppressed with the incorporation of Automatic Voltage Regulator (AVR) and Power System
Stabilizer (PSS). The simulations have been performed using the MATLAB/PSAT software.
Keywords—Transient stability, Three phase fault Faults, AVR, PSS.
PARAMETER IDENTIFICATION AND MODELLING OF SEPARATELY EXCITED DC MOTOR ijiert bestjournal
DC Motors can be used in various applications and c an be used in various sizes and rates as per the applications. In this paper we have focused on the physical parameters of DC motor. Modelling of any system is an important task in con trol applications because the electrical and mechanical components should be represented in math ematical form. Physical parameters are important in calculating the transfer function of D C motor. By using the physical parameters one can design the controller for controlling speed of the motor. A proportional�integral� derivative controller (PID controller) is a generic control loop feedback mechanism (controller) widely used in industrial control syst ems. The controller attempts to minimize the error by adjusting the process control inputs. The weighted sum of the proportionate,integrate,differentiate actions is used to adjust the process via a control element such as the position of a control valve,or the power supplied.
Transient stability analysis on a multi machine system in psateSAT Journals
Abstract
Modern power system are subject to large disturbances such as three phase short circuit faults. When a fault occurs on a system
the generators rotor angle becomes unstable and thus it losses synchronism with the system and it becomes unstable. Thus
transient stability analysis can be performed on a system in order to understand the generators performance when subjected to a
short circuit fault. When the system is subjected to a fault the generator experiences transient oscillations in rotor speed and
angle which can be effectively suppressed with the incorporation of Automatic Voltage Regulator (AVR) and Power System
Stabilizer (PSS). The simulations have been performed using the MATLAB/PSAT software.
Keywords—Transient stability, Three phase fault Faults, AVR, PSS.
PARAMETER IDENTIFICATION AND MODELLING OF SEPARATELY EXCITED DC MOTOR ijiert bestjournal
DC Motors can be used in various applications and c an be used in various sizes and rates as per the applications. In this paper we have focused on the physical parameters of DC motor. Modelling of any system is an important task in con trol applications because the electrical and mechanical components should be represented in math ematical form. Physical parameters are important in calculating the transfer function of D C motor. By using the physical parameters one can design the controller for controlling speed of the motor. A proportional�integral� derivative controller (PID controller) is a generic control loop feedback mechanism (controller) widely used in industrial control syst ems. The controller attempts to minimize the error by adjusting the process control inputs. The weighted sum of the proportionate,integrate,differentiate actions is used to adjust the process via a control element such as the position of a control valve,or the power supplied.
State space analysis, eign values and eign vectorsShilpa Shukla
State space analysis concept, state space model to transfer function model in first and second companion forms jordan canonical forms, Concept of eign values eign vector and its physical meaning,characteristic equation derivation is presented from the control system subject area.
Symmetrical Components
Symmetrical Component Analysis
Synthesis of Unsymmetrical Phases from Their Symmetrical Components
The Symmetrical Components of Unsymmetrical Phasors
Phase Shift of Symmetrical Components in or Transformer Banks
Power in Terms of Symmetrical Components
Root locus is a graphical representation of the closed-loop poles as a system parameter is varied.
It can be used to describe qualitatively the performance of a system as various parameters are changed.
It gives graphic representation of a system’s transient response and also stability.
We can see the range of stability, instability, and the conditions that cause a system to break into oscillation.
State space analysis, eign values and eign vectorsShilpa Shukla
State space analysis concept, state space model to transfer function model in first and second companion forms jordan canonical forms, Concept of eign values eign vector and its physical meaning,characteristic equation derivation is presented from the control system subject area.
Symmetrical Components
Symmetrical Component Analysis
Synthesis of Unsymmetrical Phases from Their Symmetrical Components
The Symmetrical Components of Unsymmetrical Phasors
Phase Shift of Symmetrical Components in or Transformer Banks
Power in Terms of Symmetrical Components
Root locus is a graphical representation of the closed-loop poles as a system parameter is varied.
It can be used to describe qualitatively the performance of a system as various parameters are changed.
It gives graphic representation of a system’s transient response and also stability.
We can see the range of stability, instability, and the conditions that cause a system to break into oscillation.
Implementation of PWM Control of DC Split Converter Fed Switched Reluctance M...IJECEIAES
The phase winding of Switched Reluctance Motor is excited during the positive increasing region of the phase inductance to get the motoring action. This is performed through a converter. This paper presents the speed control of DC Split converter fed 4 phase 8/6 Switched Reluctance Motor drive using PWM controller. The speed of the motor is controlled by varying the duty ratio of the PWM controller. Simulation results are verified with hardware implementation of the controller. The Hall sensors provided in the motor provide signals corresponding to the position of the rotor. The pulses to the IGBT switches are generated by TMS320F2407A DSP controller. The waveforms of the PWM signals and Hall sensor signals are captured by means of Digital Storage Oscilloscope. Motor phase currents, phase voltages and associated numerical values are captured and analyzed by Power Analyzer. Steady state analysis of the drive has been carried out.
Experimental results of vector control for an asynchronous machineTELKOMNIKA JOURNAL
The aim of this article is contributeto the advanced vector control strategy of asynchronous machines. Analyzes of experimental of indirect field-oriented control are presented. In this context, we propose vector control algorithms to provide solutions to the disadvantages of field-oriented control FOC.The results obtained from various methods of determining the parameters for asynchronous machine are compared. We calculate the various parameters and then we present the technical characteristics of each element of the asynchronous machine; finally, we implement the vector control used asbasis of comparison between the simulation under Matlab/Simulink software and experiments. The simulation and experimental tests show that the proposed controller is suitable for medium and high-performance applications.
BLDC motor driven electric skateboard using SVPWM IJECEIAES
Several problems are faced by today’s generation. One of them is the increase in pollution in our everyday life. Each of us can play a part in reducing this by using some environmentally friendly method such as cycles which requires mechanical force. Another way to accomplish this is by using electricity to produce this mechanical force i.e. electric motor. In this paper BLDC motor driven electric skateboard is designed with mathematical calculation, verified with simulation and developed as a experimental setup.
EN0567 - Assignment
C003 Powerlab
3-phase Induction Motor Performance
Dr M Jovanovic – EN0567 lab sheets Page-1
OBJECTIVES W hen you have completed this assignment you will be able to:
Determine the parameters used to measure squirrel-cage
induction motor performance.
Plot and understand the typical steady-state operating
characteristics of small induction motors.
KNOWLEDGE LEVEL
Before you start this assignment you should:
Have a clear understanding of voltage and current in 3 phase
AC circuits.
Be familiar with the use of the 68-500 Virtual Instrumentation
System and the connections required to the 68-
441dynamometer.
For details on the connections between the PC, the 68-441
Torque/Speed control panel and the 68-500 Multi-Channel
Input/Output panel, see the Manual Multi-Channel Input /
Output System – 68-500. See also this manual for details of
the Virtual Instrumentation software 68-911.
PRACTICALS For Y and connected stator windings determine and compare
various steady-state operating characteristics of the motor under
different loading conditions.
EN0567 – Assignment
C003 Powerlab
3-Phase Induction Motor Performance
Dr M Jovanovic – EN0567 lab sheets Page-2
FORMULAE
Input Power = 3VIcos (1)
where cos is the power factor and V and I are the line voltage
and current (rms values). The 3-phase power input is available
directly from the virtual instrumentation system.
Output power = 2nT/60 (2)
where n is the speed in rev/min and T is the torque in Nm.
Efficiency = 100 x %
PowerInput
PowerOutput
(3)
EQUIPMENT REQUIRED
Universal Power Supply 60-105
Three phase dual voltage squirrel cage induction motor 64-
501
Armature Current Dynamometer system consisting of a
shunt DC machine 63-110 with a fitted 68-430 DC tacho-
generator and 68-441 panel.
Shaft coupling and key 68-703
System Frame 91-200
Universal Bin 91-240
Standard Set of Patch Leads 68-800
PC with 68-911 software for Virtual Instrumentation.
Notes
Circuit diagrams for Virtual instrumentation are provided.
Refer to the Multi-channel I/O Unit Manual 68-500 for the setting up of
the virtual instrumentation voltmeters, ammeters etc, and the use of
stored Set-Up files.
DO refer to the Help information available in the 68-500 software.
EN0567 – Assignment
C003 Powerlab
3-Phase Induction Motor Performance
Dr M Jovanovic – EN0567 lab sheets Page-3
Circuit Diagrams and Wiring
Figure 1: Virtual Instrumentation Wiring
EN0567 – Assignment
C003 Powerlab
3-Phase Induction Motor Performance
Dr M Jovanovic – EN0567 lab sheets Page-4
Figure 2: Magnified Multi-channel I/O Unit 68-500 Patching Diagram from Figure 1
Figure 3: Star and Delta wiring
EN0567 – Assignment
C003 Powerlab
3-Phase Induction Motor Performance
Dr M Jovanovic – EN0567 lab sheets Page-5
Figure ...
Transient Dynamic Analyzing for Induction Motor Design Based on combine Simul...IJERA Editor
The paper introduces an industrial application of field-circuit-mechanical combined simulation on the induction
motor design, which is driven with power electronic circuit, VFD(Varied Frequency Driver). The time variant
electromagnetic field is calculated with time stepping Finite Element method, while VFD circuit is simulated
real time with cSpice technology which have been implanted in the Maxwell software.
SS9620 PV Cell Evaluation System
Overall Evaluation System Capable of Measuring
Solar Cell Dark Current
l Dark current measurement of large solar cell modules by connecting the booster unit 46015
l Precise parallel resistance measurement and bypass diode
evaluation by using the reverse polarity unit
l Maximum output power of 300W (300V/±1A, 30V/±10A)
l High speed measurement at 100 points in 5ms
l 50μs to 6s/point that supports various kinds of solar cells
l Sampling for short-pulsed, middle-pulsed and long-pulsed light
l 3-slope linear sweep function to measure finely around Isc,
Pmax and Voc
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
1. EEL301LAB REPORT
DC MODULAR SYSTEM
11/5/2010
Group-3
AKSHAY GUPTA
AASTHA DUA
INDRA BHUSHAN
KUMAR SAURAV
MEHUL MITTAL
UMANG GUPTA
VIVEK MANGAL
2. DC MODULAR SERVO MOTOR
Assignment 6
Aim: We study the working of the pre-amplifier, PA150C and find out its characteristics.
Theory: This Pre-amplifier has two signal inputs and two outputs. If there is a positive voltage
on either of its inputs then one of its outputs becomes positive. Also if one of the output
becomes negative then the other output becomes positive.
Observation Table
Fig1. Graph Of V0(3) v/s Vi.
0
2
4
6
8
10
12
-1500 -1000 -500 0 500 1000 1500
Series1
3. Fig2. Graph of V0(4) vs Vi.
Fig3. Graph of V0(4-3) vs Vi.
0
2
4
6
8
10
12
-1500 -1000 -500 0 500 1000 1500
Series1
-15
-10
-5
0
5
10
15
-1500 -1000 -500 0 500 1000 1500
Series1
4. Calculations
From Fig3 we find the gain of the pre-amplifier by finding out the slope of the straight part of
the curve.
Slope 1= 1000*(0.59+0.621)/-(59+58.5)= 10.306
Slope 2=1000*(1.706+1.626)/-(166+155.3)=10.6713
Gain= 10.488
Assignment 6.2
Aim: To utilize the error signal output of the operational amplifier to drive the output
potentiometer via the pre-amplifier and motor.
Theory: When we rotate the input potentiometer then the output potentiometer cursor should
rotate to an angle nearly equal to that. If the output cursor stops before arriving at the set
position then the system is tolerant to an error and the motor will not respond till the error
exceeds a value.
Observations
Input Output Misalignment
0 5 5
45 42.5 2.5
90 77.5 12.5
135 117.5 17.5
180 220 40
270 260 30
330 313.75 16.25
360 347 13
5. Fig 4. Graph of Misalignment v/s input.
Assignment 7
Aim: To show that the improvement that results from closing the loop using feedback instead
of using an open loop.
Theory: When we use a feedback loop, we compare the actual speed with the required speed.
This produces an error signal to actuate the servo amplifier output so that the motor maintains
a more constant speed.
In this experiment, we simply feed back a signal proportional to the speed, using the
tachogenerator. We then compare it with a reference signal of opposite polarity, so that the
sum will produce an input signal of the required value.
Observations
Ref. Voltage(Volts) Tacho Voltage(Volts) Error Voltage(Volts) Speed (r/min)
-0.619 0.370 0.122 130
-2.434 1.83 0.478 660
-4.03 3.09 0.844 1120
-5.88 4.51 1.275 1640
-7.41 5.69 1.632 2060
-8.85 6.80 1.962 2470
0
5
10
15
20
25
30
35
40
45
0 50 100 150 200 250 300 350 400
Series1
6. Fig 5. Graph of Error Voltage v/s Speed.
Now to find out the effects of loading on speed we use the magnetic break as a load.
Brake Position Speed Error
0 2080 1.626
1 2080 1.626
2 2080 1.644
3 2040 1.738
5 1830 2.316
6 1640 2.82
7 1490 3.233
8 1330 3.73
9 1100 4.31
10 860 5.00
0
0.5
1
1.5
2
2.5
0 500 1000 1500 2000 2500 3000
Series1
7. Fig 6. Graph of Error voltage v/s Brake Position.
Fig 7. Graph of Speed v/s Breal Position.
Now we find the values for a different gain.
Brake Position Ref. Volts Error Volts Tacho-generator
Volts
Speed (r/min)
0 -3.606 0.728 2.75 1000
3 -3.606 0.793 2.69 970
4 -3.606 0.861 2.62 950
0
1
2
3
4
5
6
0 2 4 6 8 10 12
Series1
0
500
1000
1500
2000
2500
0 2 4 6 8 10 12
Series1
9. Now,
We have to find the reference Voltage at which the motor just stops.
We find this value by slowly tuning the knob and observing the motor.
Vref=-320.1 mV
N=1010 rpm.
Assignment 7.3
Aim: To assemble a simple reversible speed control system.
Theory: Because of its importance in speed control, the tacho-generator has become an
integral part of the motor.
Observations
Forward
Brake Position Tacho generator
Volts
Ref. Volts Error Volts Speed (r/min)
0 2.76 -3.145 0.95 1000
5 2.74 -3.153 0.95 990
8 2.72 -3.147 0.95 980
10 2.35 -3.147 0.95 850
Backward
Brake Position Tacho generator
Volts
Ref. Volts Error Volts Speed (r/min)
0 -2.78 2.542 1.697 1000
5 -2.75 2.546 1.697 990
8 -2.73 2.548 1.697 990
10 -2.31 2.548 1.697 840
10. Assignment 8
Aim: To familiarize ourselves with the term deadband and to investigate the effect of gain on
deadband and step response.
Theory: The deadband is the minimum input signal required to get a system response. So
knowing the error factor we can relate the signal input to the degree of misalignment that can
occur before there is a corrective response.
Observations
Gain Rotation Clockwise Rotation Anti-
clockwise
Total deadband
1 -55 80 135
2 -95 120 215
3 -70 100 170
4 -65 95 160
5 -60 85 145
Fig 10. Total deadband v/s Gain
0
50
100
150
200
250
0 1 2 3 4 5 6
Series1