Minpower

an open source toolkit

for power systems optimization

Minpower solves problems


Economic Dispatch	Optimal Power Flow	Unit Commitment

Why it's awesome

There are two ways to use it

Demonstration

Let’s walk through
an Economic Dispatch problem.

Problem: ED

\[ \operatorname{min} \sum_g C_g(P_g) \]

\[ \operatorname{s.t.} P_{\min (g)} \leq P_g \leq P_{\max (g)} \; \forall g \]

\[ \operatorname{s.t.} \sum_g P_{g}= P_{\text{load}} \]

Inputs: ED

generators

loads

name	Pmax	costcurveequation
cheap	120	200+5*P+.3P^2
expensive	400	300+10P+.25P^2+.005P^3

name	Pd
SeattleCityLight	100

Solve: ED

Results: ED

name	u	P	IC
cheap	True	66.6666673333	45.0000004
expensive	True	33.3333326667	43.3333323334

How Minpower Works

Python

Coopr

Matplotlib

load data

form problem

solve

plot

Documentation

Unit Commitment

Formulation includes:

Features:

Unit Commitment visualization

Minpower

Use it and make it better.