This talk will illustrate the steps taken to implement an interactive learning tool for our power-flow application – a program that computes the state of a power grid with solar generation and energy storage.
We’ll discuss how we integrated our power-flow application with Jupyter Notebook, an open-source web application that allows you to create documents containing live code, mathematical equations, charts, and graphs. More specifically, we’ll demonstrate the following:
We’ll also demonstrate our python-based ASCII diagram tool, which can parse simple power grids drawn in ASCII and convert them into objects that can be interpreted by the power-flow application.
I am a Python developer at Opus One Solutions, a software engineering company based in Toronto, Canada. I focus on the development of power system analytics, such as optimization of energy storage. I’m working towards seeing our power grid powered by 100% renewable energy.