Quick Start

OATS is a powerful power systems optimisation toolbox. OATS include implementation of the following steady-state analysis models:

  • DC/AC load flow problem
  • DC/AC optimal power flow problem
  • Security constrained optimal power flow problem
  • Unit commitment problem

Solving a problem in OATS

import oats
oats.dcopf()

The above command will solve a DC optimal power flow problem on a default 24-bus IEEE reliability test system. A user provide their own network by using the keyword ‘tc’, as shown in an example below.

_images/dcopf0.png 
import oats
oats.dcopf(tc='mynetwork.xlsx',)

Other options allow a user to specify solver: either on NEOS server of locally on a machine. The following set of lines solves a DC optimal power flow problem using a local installation of the solver ‘cplex’.

import oats
oats.dclf(tc='mynetwork.xlsx',solver='cplex',neos=False,out=0):
_images/dcopf1.png _images/dcopf2.png

Output

A ‘results.xlsx’ file is produced after an OATS model is solved. This file in created in the directory where the oats in called. The results file has a same data format as the input test case.

_images/results.png