File(s) under permanent embargo
Adaptive neuro-fuzzy synchronization in isolated power systems with high wind penetration
journal contribution
posted on 2023-05-19, 01:56 authored by Michael NegnevitskyMichael Negnevitsky, Nikolic, D, de Groot, MIsolated power systems (IPSs) worldwide are traditionally powered by diesel generators that are very expensive to run and produce harmful emissions. In order to mitigate these problems, wind turbines are being introduced into existing IPSs. Although this integration has been reasonably effective at reducing running costs and emissions, high levels of wind penetration cause large system frequency variations, resulting in a prolonged synchronization process for newly dispatched diesel generators. Long synchronization can compromise the stability of a small IPS. This paper examines the diesel synchronization problem using a real IPS as a case study and offers a solution by introducing the concept of predictive synchronization based on adaptive neuro-fuzzy systems. Simulation results demonstrate a significant reduction in diesel generator synchronization times.
History
Publication title
Journal of Advanced Computational Intelligence and Intelligent InformaticsVolume
20Pagination
418-428ISSN
1343-0130Department/School
School of EngineeringPublisher
Fuji Technology Press Ltd.Place of publication
JapanRights statement
Copyright 2016 Fuji Technology Press Ltd.Repository Status
- Restricted