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Simulating Power Electronic Circuits using Python

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Simulating Power Electronic Circuits using Python  No.1

Simulating Power Electronic Circuits using Python, available at $64.99, has an average rating of 4.38, with 107 lectures, based on 251 reviews, and has 1878 subscribers.

You will learn about Installing and setting up Python Installing Python Power Electronics – an open source circuit simulator Simulating a basic resistive circuit Basics of magnetic and electric fields from a power engineering perspective How inductors and capacitors form energy storage elements in power electronic circuits The use of diodes in power electronic circuits The working of a diode using simulations The concept of rectification and how a rectifier can be built using diodes Building a rectifier step by step using simulations Writing control functions using Python Simulating a buck converter This course is ideal for individuals who are Students of electrical engineering, practicing engineers and electrical technicians It is particularly useful for Students of electrical engineering, practicing engineers and electrical technicians.

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Summary

Title: Simulating Power Electronic Circuits using Python

Price: $64.99

Average Rating: 4.38

Number of Lectures: 107

Number of Published Lectures: 107

Number of Curriculum Items: 107

Number of Published Curriculum Objects: 107

Original Price: CA$24.99

Quality Status: approved

Status: Live

What You Will Learn

  • Installing and setting up Python
  • Installing Python Power Electronics – an open source circuit simulator
  • Simulating a basic resistive circuit
  • Basics of magnetic and electric fields from a power engineering perspective
  • How inductors and capacitors form energy storage elements in power electronic circuits
  • The use of diodes in power electronic circuits
  • The working of a diode using simulations
  • The concept of rectification and how a rectifier can be built using diodes
  • Building a rectifier step by step using simulations
  • Writing control functions using Python
  • Simulating a buck converter
  • Who Should Attend

  • Students of electrical engineering, practicing engineers and electrical technicians
  • Target Audiences

  • Students of electrical engineering, practicing engineers and electrical technicians
  • For a student of electrical engineering or for a practicing electrical technician, getting started with simulating electrical circuits can be challenging. Even more so in the case of power electronics where circuits are non-linear. This course introduces the process of simulation and also provides basic theory lectures to help you understand how simulations can be used to learn how power converters work.

    This course uses only free and open source software. The course will have lectures to show you how to download and install each software. All software are compatible with Windows, Linux and Mac OS and you can follow this course whatever operating system you prefer to use. The course also has a basic tutorial on Python programming to help you with writing control code for electrical circuits. The course uses the free and open source circuit simulator Python Power Electronics. You can use other simulators if you are already using them. However, all examples in this course will use Python Power Electronics as I would like all students registered for the course to be able to access a circuit simulator and not all simulators are free to use.

    This course is not a comprehensive course on power electronics. I will not be covering a vast number of power converters. Instead, this course focuses on depth. The lectures will have code along sessions where I will be building simulations from scratch and will be switching back and forth between theory presentations and simulation results to understand how circuits work. The course will not be heavily mathematical but on the contrary will use fundamental concepts of Physics to understand how power converter circuits.

    In order to successfully complete this course, a student is required to have some basic electrical knowledge. This implies basic network laws – Kirchoff’s Voltage Law, Kirchoff’s Current Law, Ohm’s Law. These would be taught in first year of electrical engineering. Other than that, you do not need to have prior knowledge of power electronics or analog electronics. A student will also be required to have some basic knowledge of programming. This course uses Python. However, if a student has used any other high level language such as C, C++, Java etc, that would do as well. Expert knowledge of programming is not necessary. This course however, should not be a student’s very first time coding.

    Course Curriculum

    Chapter 1: Welcome

    Lecture 1: Welcome

    Chapter 2: Introduction

    Lecture 1: Overview

    Lecture 2: Concept of simulation

    Lecture 3: Open source software in electrical engineering

    Lecture 4: Python Power Electronics – an open source circuit simulator

    Lecture 5: Target audience of the course

    Chapter 3: Installing software

    Lecture 1: Overview

    Lecture 2: Introduction to Anaconda Python

    Lecture 3: Windows – installing Anaconda

    Lecture 4: Linux/Mac – installing Anaconda

    Lecture 5: Environments in Anaconda

    Lecture 6: Windows – setting up Anaconda environments

    Lecture 7: Linux/Mac – setting up Anaconda environments

    Lecture 8: Setting up an environment for Python Power Electronics

    Lecture 9: Changes to the download links

    Lecture 10: Windows – installing and setting up Python Power Electronics

    Lecture 11: Linux/Mac – installing the dependencies for Python Power Electronics

    Lecture 12: Linux/Mac – installing and setting up Python Power Electronics

    Lecture 13: Windows – launching Python Power Electronics

    Lecture 14: Linux/Mac – launching Python Power Electronics

    Lecture 15: Editors for Python programming

    Lecture 16: Conclusion

    Chapter 4: Simulating Basic Resistive Circuits

    Lecture 1: Overview

    Lecture 2: Choosing a circuit to simulate

    Lecture 3: Drawing the circuit in a spreadsheet

    Lecture 4: Rules for drawing circuits in spreadsheets

    Lecture 5: Understanding parameters of a simulation

    Lecture 6: Creating a new simulation

    Lecture 7: Adding a circuit schematic to the simulation

    Lecture 8: Parameters of circuit components

    Lecture 9: Editing the parameters of components in the simulation

    Lecture 10: Running the simulation

    Lecture 11: Backing up the parameters of the circuit

    Lecture 12: Conclusions

    Chapter 5: Energy storage in electrical circuits

    Lecture 1: Introduction

    Lecture 2: Magnetic field basics

    Lecture 3: Electromagnets

    Lecture 4: Inductors

    Lecture 5: Induced EMF produced by inductors

    Lecture 6: Inductors – Laws and formulae

    Lecture 7: Capacitors

    Lecture 8: Capacitors – Laws and formulae

    Lecture 9: Comparing inductors and capacitors

    Lecture 10: Conclusions

    Chapter 6: Basic nonlinear circuits

    Lecture 1: Introduction

    Lecture 2: Diodes

    Lecture 3: Test circuit to examine the working of a diode

    Lecture 4: Parameters of a diode

    Lecture 5: When the diode is forward biased

    Lecture 6: When the diode is reverse biased

    Lecture 7: When an AC voltage is applied across the diode

    Lecture 8: Concept of rectification

    Lecture 9: Setting up the rectifier simulation

    Lecture 10: Simulating the basic rectifier

    Lecture 11: Analysis of the basic rectifier and the need for energy storage

    Lecture 12: Adding a capacitor to the output

    Lecture 13: Change in the operation of the rectifier with a capacitor at the output

    Lecture 14: Analyzing the effect of addition of the capacitor

    Lecture 15: Increasing the value of the capacitance and analyzing the result

    Lecture 16: The need for an inductor as a current limiter and energy buffer

    Lecture 17: Adding the inductor and analyzing the results

    Lecture 18: Conclusions

    Chapter 7: Tutorial on Python programming

    Lecture 1: Overview

    Lecture 2: Launching the interactive Jupyter notebook

    Lecture 3: Integer data types

    Lecture 4: Float data types

    Lecture 5: String data types

    Lecture 6: List data types

    Lecture 7: Dictionary data types

    Lecture 8: Iterable objects

    Lecture 9: In-built functions available in Python

    Lecture 10: User defined functions

    Lecture 11: Conditionals

    Lecture 12: Programming challenge

    Chapter 8: Writing control functions in Python Power Electronics

    Lecture 1: Introduction

    Lecture 2: How a control function is evaluated by the simulator

    Lecture 3: IO ports of a controller

    Lecture 4: Inputs to a control function

    Lecture 5: Basic computation with inputs

    Lecture 6: Time event variables to achieve digital control

    Lecture 7: Common timing problems

    Lecture 8: Need for internal variables with memory

    Lecture 9: Static variables

    Lecture 10: Controllable voltage source – a component that can be regulated through control

    Lecture 11: Output variables

    Lecture 12: Variable resistors and variable inductors

    Lecture 13: Commonly occuring errors with control code

    Lecture 14: Conclusion

    Chapter 9: Simulating a buck converter

    Lecture 1: Introduction

    Lecture 2: Jumpers or connectors in circuits

    Lecture 3: The ideal switch component

    Instructors

  • Simulating Power Electronic Circuits using Python  No.2
    Shivkumar Iyer
    Power electronics researcher and software developer
  • Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 9 votes
  • 3 stars: 19 votes
  • 4 stars: 99 votes
  • 5 stars: 121 votes
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