Improved artificial jellyfish search algorithm: virtual synchronous generator control strategy

Li, J.-R., Li, H.-Y., Lim, M. K. , Chiu, A. S.F. and Tseng, M.-L. (2023) Improved artificial jellyfish search algorithm: virtual synchronous generator control strategy. Engineering Optimization, (doi: 10.1080/0305215X.2023.2201900) (Early Online Publication)

Abstract

This study aims to solve the problem of optimal performance parameter selection of the virtual synchronous generator (VSG) control strategy using an improved artificial jellyfish search (IMJS) algorithm. VSG technology helps the inverter to improve the anti-disturbance ability. The VSG control effect depends on the setting of its performance parameter values. The population initialization strategy and dynamic adaptive factor are used to improve the optimization ability of the artificial jellyfish search algorithm. The IMJS algorithm is used to optimize the VSG, and a control strategy for the VSG based on the IMJS (IMJS-VSG) is proposed to improve the control capability. The results show that the active power achieves smooth changes without oscillations under the IMJS-VSG control strategy when the system is running in grid-connected operation. The system voltage drop under the IMJS-VSG strategy is less than 40% of the VSG strategy when the system is in an islanded operation state.

• Item Type: Articles
• Additional Information: This study is partially supported by National Science and Technology Council, Taiwan NSCTC 111-2221-E-468 -008 -MY3.
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming
• Authors: Li, J.-R., Li, H.-Y., Lim, M. K., Chiu, A. S.F., and Tseng, M.-L.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Engineering Optimization
• Publisher: Taylor and Francis
• ISSN: 0305-215X
• ISSN (Online): 1029-0273
• Published Online: 03 May 2023
• Copyright Holders: Copyright © 2023 Informa UK Limited, trading as Taylor and Francis Group
• First Published: First published in Engineering Optimization 2023
• Publisher Policy: Reproduced in accordance with the publisher copyright policy