학술논문
A progressive method to solve large-scale AC optimal power flow with discrete variables and control of the feasibility
Document Type
Conference
Author
Source
2014 Power Systems Computation Conference Power Systems Computation Conference (PSCC), 2014. :1-7 Aug, 2014
Subject
Language
Abstract
This paper introduces a study on power system networks which aims to produce a dynamic simulation based security assesment taking into account uncertainties. An extended Optimal Power Flow without any guarantee on feasibility leads to the resolution of a Mixed-Integer NonLinear Problem (MINLP). Solving a (MINLP) is very challenging and even harder when the problem is not convex and could be unfeasible. A custom filtering method which tries to explain infeasibilities and uses the nonlinear solver KNITRO to reformulate discrete variables into nonlinear constraints is proposed. Preliminary results on the French and European power systems network demonstrate the interest of this approach on real-life cases.