Skip to main content

Research Repository

Advanced Search

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization

RECALDE, ANGEL; BOZHKO, SERHIY; ATKIN, JASON

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization Thumbnail


Authors

ANGEL RECALDE

SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
Professor of Aircraft Electric Power Systems

JASON ATKIN jason.atkin@nottingham.ac.uk
Associate Professor



Contributors

ANGEL RECALDE
Researcher

Abstract

The increased utilization of electrical energy in future aviation requires an efficient method to perform load flow for optimizing on-board operating conditions. Load flow models of electrical networks are complex to solve and requires iterative methods to obtain a solution due to the non-linear relationship between voltages and currents. This paper will address the complexity of load flow for DC systems and will present a linear model that does not require to be solved iteratively and can be included in Mixed Integer Linear Programming MILP formulations to allow operational metrics optimization such as loss minimization and reliability maximization while converging to optimality. Load flow results have shown that the error margin is considerably small.

Citation

RECALDE, A., BOZHKO, S., & ATKIN, J. (2020). Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC). https://doi.org/10.1109/ITEC48692.2020.9161584

Conference Name 2020 IEEE Transportation Electrification Conference & Expo (iTEC 2020)
Conference Location Chicago, Illinois, USA (online)
Start Date Jun 24, 2020
End Date Jun 26, 2020
Acceptance Date Feb 28, 2020
Online Publication Date Aug 7, 2020
Publication Date 2020
Deposit Date Apr 20, 2020
Publicly Available Date Aug 7, 2020
Publisher Institute of Electrical and Electronics Engineers
Book Title 2020 IEEE Transportation Electrification Conference & Expo (ITEC)
ISBN 978-1-7281-4630-0
DOI https://doi.org/10.1109/ITEC48692.2020.9161584
Public URL https://nottingham-repository.worktribe.com/output/4316612
Publisher URL https://ieeexplore.ieee.org/document/9161584

Files






You might also like



Downloadable Citations