An analysis of the branch and bound method in the resolution of the optimal power flow problem with discrete control variables

• Grant number: 16/06756-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2016
• End date: December 31, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Edilaine Martins Soler
• Grantee: Luiza Rodrigues Matos
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil

Abstract

The purpose of an Optimal Power Flow problem is to determine the state of a power transmission system that optimizes a specific performance of this system and satisfies its physical and operational constraints. The Optimal Power Flow problem can be mathematically modeled as a Nonlinear Programming Problem with Discrete and Continuous Control Variables. Due to the difficulty in solving this problem because of the discrete variables, most of the approaches in the literature ignores the discrete nature of these variables and considers all the variables of the Optimal Power Flow problem as continuous variables. These formulations are not realistic, because some controls can be only adjusted by discrete steps. This research project aims to investigate the Branch-and-Bound method and its variations in solving the Optimal Power Flow problem considering the discrete and continuous variables of this problem. Numerical tests with the IEEE test systems will be conducted in order to validate the developed approach. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MATOS, LUIZA; SILVA, DAISY; SOLER, EDILAINE; IEEE PERU SECT. An Analysis of the Branch-and-Bound Method in Solving the Reactive Optimal Power Flow Problem. PROCEEDINGS OF THE 2017 IEEE XXIV INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON), v. N/A, p. 4-pg., 2017-01-01. (16/06756-8)