| Paper Abstract and Keywords |
| Presentation |
2019-10-22 14:05
Application of evolutionary multi-objective optimization to maximum power point tracking Yusuke Kunii, Toshimichi Saito (HU) CAS2019-31 NLP2019-71 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper studies application of a multi-objective evolutionary algorithm to a trade-off problem in a
switching power converter with photovoltaic input. The trade-off problem is considered in two objective functions
of control parameters of the converter. The first function represents extraction of the maximum average power from
the input. The second function represents stability of the periodic orbit of instantaneous input power. The third
function represennts efficiency. This is important to realize efficient renewable energy supply. In order to analyze
the three-objective problem, we use a simple multi-objective evolutionary algorithm with the Tchebycheff approach
and the crossover operator BLX-α. Applying the algorithm, we have obtained the Pareto front corresponding to
the trade-off. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
MOEA/D / boost converter / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 238, NLP2019-71, pp. 39-42, Oct. 2019. |
| Paper # |
NLP2019-71 |
| Date of Issue |
2019-10-15 (CAS, NLP) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
CAS2019-31 NLP2019-71 |
| Conference Information |
| Committee |
NLP CAS |
| Conference Date |
2019-10-22 - 2019-10-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Gifu Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Mathematical modeling, numerical simulation etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2019-10-NLP-CAS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Application of evolutionary multi-objective optimization to maximum power point tracking |
| Sub Title (in English) |
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| Keyword(1) |
MOEA/D |
| Keyword(2) |
boost converter |
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| 1st Author's Name |
Yusuke Kunii |
| 1st Author's Affiliation |
Hosei University (HU) |
| 2nd Author's Name |
Toshimichi Saito |
| 2nd Author's Affiliation |
Hosei University (HU) |
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| Speaker |
Author-1 |
| Date Time |
2019-10-22 14:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
CAS2019-31, NLP2019-71 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.237(CAS), no.238(NLP) |
| Page |
pp.39-42 |
| #Pages |
4 |
| Date of Issue |
2019-10-15 (CAS, NLP) |