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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, M
Isolated 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 Informatics

Volume

20

Pagination

418-428

ISSN

1343-0130

Department/School

School of Engineering

Publisher

Fuji Technology Press Ltd.

Place of publication

Japan

Rights statement

Copyright 2016 Fuji Technology Press Ltd.

Repository Status

  • Restricted

Socio-economic Objectives

Energy services and utilities