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update Readme.md and Index.ipynb

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# Modeling and Simulation of Complex Power Systems
## Simulation Examples
On this platform you find the simulation examples based on Jupyter Notebooks. They are presented in the course **Modeling and Simulation of Complex Power Systems** by **Prof. Monti** at the **RWTH Aachen University**. Reviewing and modifying the simulation examples shall support the students in understanding the lecture content.
The following notebooks are currently available:
Lecture Examples:
- [Lecture 2 - Modified Nodal Analysis](./lectures/02_NA_MNA/VS_CS_R4.ipynb)
- [Lecture 2 - Modified Nodal Analysis - with DPsim solver](./lectures/02_NA_MNA/VS_CS_R4.ipynb)
- [Lecture 2 - Modified Nodal Analysis - without DPsim solver](./lectures/02_NA_MNA/VS_CS_R4_hard-coded.ipynb)
- [Lecture 3 - Resistive Companion](./lectures/03_ResistiveCompanion/VS_R2L3.ipynb)
- [Lecture 4 - Nonlinear Resistive Companion](./lectures/04_NLResistiveCompanion/NL_RC.ipynb)
- [Lecture 5 - State Space Equations](./lectures/05_StateSpace/StateEq_ASMG.ipynb)
- [Lecture 8 - Dynamic Phasors](./lectures/08_DecoupledELMESim/VS_RL1.ipynb)
- [Lecture 9 - Diakoptics](./lectures/09_Diakoptics/Diakoptics.ipynb)
- [Lecture 9 - LIM](./lectures/09_LIM/LIM.ipynb)
- [Lecture 11 - Uncertain System Analysis](./lectures/11_UncertainSystemAnalysis/UncertainSystemAnalysis.ipynb)
Exercise Examples:
- [Exercice 3 - ResistiveCompanion -Task 1](./exercises/03_ResistiveCompanion/CS_R1L1.ipynb)
- [Exercise 6 - Diakoptics - Extra Task](./exercises/06_Diakoptics_ExtraTask/Diakoptics_ExtraTask.ipynb)
- [Exercise 7 - LIM - Extra Task](./exercises/07_LIM_ExtraTask/LIM_Exercise_ExtraTask.ipynb)
- [Exercise 8 - Numerical Integration](./exercises/08_NumInt/NumInt_example.ipynb)
## Helping Material
### Notebooks
Learn how to work with the notebooks by accessing the extensive information under **Help** in the navigation bar.
As a first starting point you might refer to **Help>Notebook Reference**, where you can find **Notebook Examples** in the user documentation. Important basics are covered in the following sections:
- Notebook Basics
- Running Code
- Markdown Cells
### Python
If you need an introduction to the Python language, the **Beginners Guide** under **Help>Python Reference** links to lots of tutorials depending on your previous knowledge.
### IPython
As a more advanced user, you can benefit from the fact that Jupyter Notebooks run an **IPython** kernel, which comes with additional features with respect to the standard **Python** kernel. To learn more about these features, you can follow under **Help>IPython Reference** the link **IPython documentation** and have a look into **Tutorial>Introducing IPython**.
### Contact
Any questions can be adressed to
[acs-teaching-mscps@eonerc.rwth-aachen.de](mailto:acs-teaching-mscps@eonerc.rwth-aachen.de)
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``` python
```
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# Modeling and Simulation of Complex Power Systems
## Simulation Examples
On this platform you find the simulation examples based on Jupyter Notebooks. They are presented in the course **Modeling and Simulation of Complex Power Systems** by **Prof. Monti** at the **RWTH Aachen University**. Reviewing and modifying the simulation examples shall support the students in understanding the lecture content.
The following notebooks are currently available:
- [Lecture 2 - Modified Nodal Analysis](./lectures/02_NA_MNA/VS_CS_R4.ipynb)
- [Lecture 3 - Resistive Companion](./lectures/03_ResistiveCompanion/VS_R2L3.ipynb)
- [Lecture 4 - Nonlinear Resistive Companion](./lectures/04_NLResistiveCompanion/NL_RC.ipynb)
## Helping Material
### Notebooks
Learn how to work with the notebooks by accessing the extensive information under **Help** in the navigation bar.
As a first starting point you might refer to **Help>Notebook Reference**, where you can find **Notebook Examples** in the user documentation. Important basics are covered in the following sections:
- Notebook Basics
- Running Code
- Markdown Cells
### Python
If you need an introduction to the Python language, the **Beginners Guide** under **Help>Python Reference** links to lots of tutorials depending on your previous knowledge.
### IPython
As a more advanced user, you can benefit from the fact that Jupyter Notebooks run an **IPython** kernel, which comes with additional features with respect to the standard **Python** kernel. To learn more about these features, you can follow under **Help>IPython Reference** the link **IPython documentation** and have a look into **Tutorial>Introducing IPython**.
### Contact
Any questions can be adressed to
[acs-teaching-mscps@eonerc.rwth-aachen.de](mailto:acs-teaching-mscps@eonerc.rwth-aachen.de)
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The currently available notebooks are listed in the [index](./index.ipynb) along with some general information on working with Jupyter Notebooks.
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