The document is a project report submitted by three students for their EEE 228 - Power Systems course. It describes the development of an Interactive Transmission System Computation Unit (I.T.S.C.U.) which is designed to compute transmission line parameters, voltage regulation, and efficiency for short, medium, and long transmission lines. The report includes sections on the algorithm, C code used, an example output, and conclusions about improving transmission system efficiency.
Presented at the First openCypher Implementers Meeting in Walldorf, Germany, February 2017 @ http://www.opencypher.org/blog/2017/03/31/first-ocim-blog/
Presented at the First openCypher Implementers Meeting in Walldorf, Germany, February 2017 @ http://www.opencypher.org/blog/2017/03/31/first-ocim-blog/
A digital calibration algorithm with variable amplitude dithering for domain-...VLSICS Design
The pseudorandom noise dither (PN dither) technique is used to measure domain-extended pipeline
analog-to-digital converter (ADC) gain errors and to calibrate them digitally, while the digital error
correction technique is used to correct the comparator offsets through the use of redundancy bits. However,
both these techniques suffer from three disadvantages: slow convergence speed, deduction of the amplitude
of the transmitting signal, and deduction of the redundancy space. A digital calibration algorithm with
variable-amplitude dithering for domain-extended pipeline ADCs is used in this research to overcome these
disadvantages. The proposed algorithm is implemented in a 12-bit, 100 MS/s sample-rate pipeline ADC.
The simulation results illustrate both static and dynamic performance improvement after calibration.
Moreover, the convergence speed is much faster.
Effective replacement of dynamic polymorphism with std::variantMateusz Pusz
These are the slides from my CppCon 2018 talk. You can find the recording here: https://www.youtube.com/watch?v=gKbORJtnVu8. All my other talks can be found here: https://train-it.eu/resources.
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This produced by straight forward compiling algorithms made to run faster or less space or both. This improvement is achieved by program transformations that are traditionally called optimizations.compiler that apply-code improving transformation are called optimizing compilers.
A digital calibration algorithm with variable amplitude dithering for domain-...VLSICS Design
The pseudorandom noise dither (PN dither) technique is used to measure domain-extended pipeline
analog-to-digital converter (ADC) gain errors and to calibrate them digitally, while the digital error
correction technique is used to correct the comparator offsets through the use of redundancy bits. However,
both these techniques suffer from three disadvantages: slow convergence speed, deduction of the amplitude
of the transmitting signal, and deduction of the redundancy space. A digital calibration algorithm with
variable-amplitude dithering for domain-extended pipeline ADCs is used in this research to overcome these
disadvantages. The proposed algorithm is implemented in a 12-bit, 100 MS/s sample-rate pipeline ADC.
The simulation results illustrate both static and dynamic performance improvement after calibration.
Moreover, the convergence speed is much faster.
Effective replacement of dynamic polymorphism with std::variantMateusz Pusz
These are the slides from my CppCon 2018 talk. You can find the recording here: https://www.youtube.com/watch?v=gKbORJtnVu8. All my other talks can be found here: https://train-it.eu/resources.
---
This short talk presents how easy it is to replace some cases of dynamic polymorphism with std::variant. During the lecture, we will analyze and compare 2 implementations of the same simple Finite State Machine. It turns up that variant-based code is not only much faster but also it gives us the opportunity to define our interfaces and program flow much better. The talk will end up with the discussion of pros and cons of each approach and will try to give guidelines on when to use them.
We present adaptable processes as a way of overcoming the limitations that process calculi have for describing patterns of dynamic process evolution. Such patterns rely on direct ways of controlling the behavior and location of running processes, and so they are at the heart of the adaptation capabilities present in many modern concurrent systems. Adaptable processes have named scopes and are sensible to actions of dynamic update at runtime; this allows us to express dynamic and static topologies of adaptable processes as well as different evolvability patterns for concurrent processes. We then consider distributed adaptability, where a process can update part of a protocol by performing dynamic distributed updates over a set of protocol participants. Dynamic updates in this context are presented as an extension of our work on choreographies and behavioural contracts in multiparty interactions. We show how update mechanisms considered for adaptable processes can be used to extend the theory of choreography and orchestration/contracts, allowing them to be modified at run-time by internal (self-
adaptation) or external intervention.
This produced by straight forward compiling algorithms made to run faster or less space or both. This improvement is achieved by program transformations that are traditionally called optimizations.compiler that apply-code improving transformation are called optimizing compilers.
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2. Submitted by
Student’s name Registration no.
1) Suseel.Anil.Menon 13BEE1076
2) Mayank Raj 13BEE1073
3) Chandankumar 13BEE1031
Developed & Tested in : Dev C++ (v5.4.2)
Programing language : C (Dec C++ compiler with
C99 release)
3. Contents
S. No Chapter Title
1 Abstract
2 Introduction about your Project
3 Algorithm/Flowchart
4 C Code
5 Output
6 Conclusion and future scope
4. Abstract
Electricity has become a vital part of our lives since its discovery.
Transmission systems deliver this irreplaceable component to our homes
everyday. But most consumers are often unaware of the intricate and tedious
processes involved in the design and maintenance of these systems. Power
transmission lines often take months to design after taking into consideration
factors such as geography, climate, distribution range and budgetary
constraints. We through our projects aspire to set a tone towards making this
design process much less tedious. Computation of transmission line
parameters, resistances, inductances, capacitances, cost of the chosen
materials etc. can be a daunting task for designers. Our project will be the first
phase to minimising this workload and improving the efficiency of calculation
for better results.
Introduction
I.T.S.C.U or the Interactive Transmission System Computation Unit is
designed to swiftly compute the A,B,C,D parameters, voltage regulation, and
efficiency for short, medium, and long transmission lines. The unit will take
an input for line voltage, current, resistance, inductance, capacitance, and
length. Also in the case of medium transmission line an option has been
provided to compute using Nominal ‘T’ method or Nominal ‘π’ method.
Although the regulation and efficiency will remain the same in both cases,
values of the parameters will vary.
5. Algorithm/Flowchart
Main
function
Launching the program
Necessary
input
Minimal input
Short Trans.
line
A,B,C,D calculated
Pass values
Medium Trans.
line
Prompt Selection
Nominal T
A,B,C,D claculated
Pass values
Nomial π
A,B,C,D calculated
Pass values
Long Trans.
line
A,B,C,D calculated
Efficiency
Regulation
Pass values
6. C code
#include<stdio.h>
#include<conio.h>
#include<math.h>
#include<complex.h> //standard library for complex calculations.
// function declarations
void smalltrans(float,double complex,double complex,float,float,float,float,float);
void mediumtrans(float,double complex,double complex,float,float,float,float,float);
void longtrans(float,double complex,double complex,float,float,float,float,float);
void eff_reg(double complex,double complex,float,float,float,float,float,float);
void input_all();
float pi=3.14159; // common use
void main()
{
// program begins
printf("tt**************** INTERSTELLAR *******************n tttt Technologies
nn ttt ------ I.T.S.C.U------n");
printf("n tWelcome to the Interactive Trnasmission System Computation Unit" );
printf(" nn tThis System will help you calculate the constant parameters A,B,C,Dn tfor
short,medium,and long transmission linesn");
input_all();
//return 0;
}//main ends
// function to get INPUT.
void input_all()
{
//input variables
float lgt,l,r,pf,pr,f,vreal,vimag,ireal,iimag;
double complex v,vl,il;
printf("nt Enter the real part of line voltage:"); // input problem
scanf("%f",&vreal);
printf("nt Enter the imag part of line voltage:"); // input problem
scanf("%f",&vimag);
printf("nt Enter the real part of line current:"); // input problem
scanf("%f",&ireal);
printf("nt Enter the imag part of line current:"); // input problem
scanf("%f",&iimag);
printf("nt Enter the supply frequency:");
scanf("%f",&f);
printf("nt Enter the inductance per km:");
7. scanf("%f",&l);
printf("nt Enter the reistance per km:");
scanf("%f",&r);
printf("nt Enter the output power:");
scanf("%f",&pr);
printf("nt Enter the load power factor:");
scanf("%f",&pf);
// Making a complex number.
v= vreal + vimag*I;
il=ireal + iimag*I;
vl=v/sqrt(3);
// to determine weather short, medium or long.
printf("nnt Enter the Length of the Trasmission Line (in Km): ");
scanf("%f",&lgt);
if (lgt<80){
printf("nntLine Classified as Small Transmission Line");
smalltrans(lgt,vl,il,pf,pr,r,l,f);
}
else if(lgt>80 && lgt<250){
printf("nntLine Classified as Medium Transmission Line");
mediumtrans(lgt,vl,il,pf,pr,r,l,f);
}
else{
printf("nntLine Classified as Long Transmission Line");
longtrans(lgt,vl,il,pf,pr,r,l,f);
}
} // input_all ends
// for calculating ABCD const for SMALL line
void smalltrans(lgt,vl,il,pf,pr,r,l,f)
double complex vl,il; float lgt,pf,pr,r,l,f;
{
float xl;
int A,C,D;
double complex B;
xl=l*2*pi*f*lgt; // impedence
r=r*lgt;
A=1;C=0;D=1;
B= r + xl*I;
// printf("n %ft %ft %ft %ft %ft",lgt,r,l,f,xl);
printf("nntA= %d tB= %.2f + %.2fi ntC= %d tD= %d",A,creal(B),cimag(B),C,D);
// printf("n vreal= %ft vimag= %f",creal(vl),cimag(vl)); // used for testing certain functions while
debugging
// printf("n Line-V per phase = %.2f L%.2f",cabs(vl),carg(vl)); // used for testing certain functions
while debugging
8. eff_reg(vl,il,pf,pr,A,B,C,D);
}// SMALL ends
// for calculating ABCD const for MEDIUM line
void mediumtrans(lm,vl,il,pf,pr,r,l,f)
double complex vl,il; float lm,pf,pr,r,l,f;
{
float c,xl;
int tog;
double complex yc,z,A,B,C,D;
// lm is the length of line
printf("nnt Enter the capcitince per km:");
scanf("%f",&c);
yc=2*pi*f*c*lm*I; // admittence
xl=l*2*pi*f*lm; // impedence
r=r*lm;
z= r + xl*I; // complex Z
printf("nt Enter 1 for proceeding with Nominal T method nttt OR nt Enter 2 for Nominal
pi method:");
scanf("%d",&tog);
// printf("n tog= %d ",tog);
if(tog==1)// nominal T
{
//printf("n works");
A=1+((yc*z)/2);
B=z*(1+((yc*z)/4));
C=yc;
D=A;
}
else if(tog==2)// nominal Pi
{
A=1+((yc*z)/2);
B=z;
C=yc*(1+((yc*z)/4));
D=A;
}
printf("nntA= %.2f + %.2fi tB= %.2f + %.2fi ntC= %.2f + %.2fi tD= %.2f +
%.2fi",creal(A),cimag(A),creal(B),cimag(B),creal(C),cimag(C),creal(D),cimag(D));
eff_reg(vl,il,pf,pr,A,B,C,D);
} // MEDIUM ends
// for calculating ABCD const for LONG line
void longtrans(ll,vl,il,pf,pr,r,l,f)
double complex vl,il; float ll,pf,pr,r,l,f;
{
11. Conclusion
Power systems are irreplaceable in the modern world with the entire
world depending on it to distribute power over long and short distances for
utilization in varied applications ranging from household usage to industrial
power behemoths. With the debate and discussion over global warming and
energy conservation gathering exponential momentum in recent times,
efficiency and durability have become the byword.
All future distribution and transmission network will have to be super-
efficient and we see I.T.S.C.U as the first phase to achieving this goal.
Future Scope
In future semesters we aspire to take forward our goal of developing
low power-high efficiency systems spanning micro-electronics to macro-
distribution systems as a solution to combat global problems for which
I.T.S.C.U has laid a foundation. We aim to make this program open source
over the internet, so that any student or technician can improve the efficiency
of their system. We further in the future, aim to remodel and expand I.T.S.C.U
to be more interactive and bring more computational power under its wings
using Visual Basic and Java.