opfpy-papers

A collection of tutorials and implementations of important algorithms in the field of control and optimization of power systems.

Each tutorial and implementation is provided as a Python Notebook, with references to the original publication, and can be directly open in Google Colab.

A full list of current implementations is provided here.

Project Motivation

The fields of power system control and optimization is known for having a steep learning curve, especially for undergraduate students. Generally speaking, it often requires a strong background in:

• electrical circuit theory
• power system analysis
• linear algebra
• linear and nonlinear optimization

As someone who taught himself a lot of this material, I found an important lack of online resources (tutorials, public implementations, blog articles, etc.) compared to other currently popular fields (e.g., Machine Learning). I hope this project will contribute to bridging that gap.

Who can opfpy-papers be useful for?

I am a strong advocate of reproducing previous works from the literature to get a better understanding of a research field.

This repository is my attempt at learning about control and optimization in power systems, with a hands-on attitude, going in chronological order from the first important papers to today's research.

I believe opfpy-papers can be useful for anyone looking to:

• Start learning about power systems.
• Get a better understanding of the core papers that have shapped the field as it is today.
• Save time by not having to re-implement previous works.
• Start using Python for modelling power systems (Python > MATLAB!).

Contributing

I try to add new implementations regularly, but contributions are more than welcome!

I also keep a list of papers that I would like to implement in the future here. If you would like to implement any of those, or propose a non-listed paper, feel free to email me at [email protected]. Alternatively, you can also submit a Pull request.

Current Implementations

These paper implementations are classified into different categories and then organized in chronological order.

Load Flow Solution Methods

1. Hale, H., and J. Ward. "Digital computer solution of power flow problems." AIEE Transactions, pt. III (Power Apparatus and Systems) 75 (1956): 398-402.

Future Implementations

Load Flow Solution Methods

1. Brown, H. E., Carter, G. K., Happ, H. H., & Person, C. E. (1963). Power flow solution by impedance matrix iterative method. IEEE transactions on power apparatus and systems, 82(65), 1-10.

2. Tinney, W. F., & Walker, J. W. (1967). Direct solutions of sparse network equations by optimally ordered triangular factorization. Proceedings of the IEEE, 55(11), 1801-1809.

3. Tinney, W. F., & Hart, C. E. (1967). Power flow solution by Newton's method. IEEE Transactions on Power Apparatus and systems, (11), 1449-1460.

Optimal Power Flows

1. Peschon, J., Piercy, D. S., Tinney, W. F., Tveit, O. J., & Cuenod, M. (1968). Optimum control of reactive power flow. IEEE Transactions on Power Apparatus and Systems, (1), 40-48.

Sensitivity Analysis

1. Peschon, J., Piercy, D. S., Tinney, W. F., & Tveit, O. J. (1968). Sensitivity in power systems. IEEE Transactions on Power Apparatus and Systems, (8), 1687-1696.

2. Hano, I., Tamura, Y., Narita, S., & Matsumoto, K. (1969). Real time control of system voltage and reactive power. IEEE Transactions on Power Apparatus and Systems, (10), 1544-1559.

Bug Reports

Feel free to create a new issue on this repository if you spot any bug. You can also email me at [email protected].