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Performance of Linear Programming in Optimizing the Energy Schedule of a Grid-connected Hybrid System Compared to Particle Swarm Optimization

Authors:
Hoda Elaouni
Hussein Obeid
Stéphane Le Masson
Hamid Gualous
Olivier Foucault

Keywords: Linear Programming; Particle Swarm Optimization; Optimization; Grid-connected hybrid system

Abstract:
This study aims to find a rapid and efficient method for managing the energy of a Grid-connected hybrid system. Thus, two optimization strategies, the Linear Programming (LP) and the Particle Swarm Optimization (PSO), have been suggested to minimize the operating cost of the hybrid system while respecting the constraints of all the system components. Then, a comparative study has been made between these two methods (e.i., LP and PSO). Consequently, the operating cost obtained using PSO algorithm is close to the one provided by the LP algorithm. However, the PSO algorithm is slower than the LP algorithm and requires different parameters to be chosen. Finally, the impact of the battery initial state of charge on the operating cost is studied.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2022

Publication date: May 22, 2022

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-967-6

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022