Frequency control scheme of an AC Islanded microgrid based on modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients

AbstractLow energy inertia, a high penetration level of renewable energy sources, and a large ratio of power deviations in a small power transmission system have put microgrid frequency at risk of instability. Based on the close coupling between microgrid frequency and system security requirements,...

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Bibliographic Details
Main Authors: Rezvan Mansoori Seresht, Mohsen Miri, Mohammad Zand, Morteza Azimi Nasab, P. Sanjeevikumar, Baseem Khan
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Cogent Engineering
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Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2022.2157982
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Summary:AbstractLow energy inertia, a high penetration level of renewable energy sources, and a large ratio of power deviations in a small power transmission system have put microgrid frequency at risk of instability. Based on the close coupling between microgrid frequency and system security requirements, providing sufficient ancillary services from cost-effective and environmentally friendly resources is a major challenge in an efficient energy management system. In this article, a fuzzy approach and a new optimization technique on the PI controller are used to solve the problem of frequency stability in the AC micro-grid in the island mode by optimising the PI-fuzzy controller parameters. The suggested modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients (MNHPSO-JTVAC) based controller’s results show that the control system has been investigated under three scenarios: load variations, RES uncertainty, white noise, and frequency correction. In terms of frequency responsiveness, the results are good when compared to traditional algorithms: The suggested design has been able to optimise the control system parameters by the proposed MNHPSO-JTVAC algorithm to solve microgrid frequency deviations caused by source uncertainty, load changes, and white noise, respectively, 0.008473, 0.01334, and 23.71, compared to classical PI control—PI, fuzzy And PI-fuzzy-GOA shows that in practical systems, this method can be considered very desirable and attractive.
ISSN:2331-1916