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An Improved Sine Cosine Algorithm for the Day-ahead Microgrid Management in the Presence of Electric VehiclesQIU, C.   |
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Author keywords
energy management, microgrids, optimization methods, renewable energy sources, scheduling
References keywords
energy(31), electric(17), algorithm(15), microgrid(13), optimization(12), vehicles(11), renewable(11), management(11), systems(10), scheduling(10)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2024-02-29
Volume 24, Issue 1, Year 2024, On page(s): 41 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.01005
Web of Science Accession Number: 001178765900009
SCOPUS ID: 85189452589
Abstract
Microgrid (MG) is capable of accommodating renewable energy sources (RESs) with high flexibility. With the rapid development of MGs, plug-in hybrid electric vehicles (PHEVs) are gaining increasing attention since they can alleviate pollution and reduce energy consumption. The appearance of PHEVs would exacerbate the power supply shortages and bring new challenges to the power system. This paper develops an effective day-ahead optimal scheduling of a MG, taking into account RESs, storage devices and PHEVs. The Monte Carlo simulation is utilized to model the uncertainties of PHEVs. A smart charging/discharging strategy incorporating the V2G technique is proposed to smooth the demand curve and reduce the operational costs. To handle the MG scheduling problem in the presence of PHEVs, an improved sine cosine algorithm with simulated annealing based local search operator and chaotic opposition learning strategy (CSCASA) is proposed to minimize the total costs. The proposed algorithm can keep a better balance between global and local search abilities. CSCASA is first validated on some benchmark problems. Then, CSCASA is employed to generate optimal schedule of a grid-connected MG with PHEVs. The experimental results demonstrate the superior performance of CSCASA in the optimal MG scheduling problem with and without PHEVs. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
