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Adaptive neuro-fuzzy synchronization in isolated power systems with high wind penetration

Citation

Negnevitsky, M and Nikolic, D and de Groot, M, Adaptive neuro-fuzzy synchronization in isolated power systems with high wind penetration, Journal of Advanced Computational Intelligence and Intelligent Informatics, 20, (3) pp. 418-428. ISSN 1343-0130 (2016) [Refereed Article]


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DOI: doi:10.20965/jaciii.2016.p0418

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:isolated power system, wind-diesel systems, high wind penetration, adaptive neuro-fuzzy interference system, predictive synchronization
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Power and Energy Systems Engineering (excl. Renewable Power)
Objective Division:Energy
Objective Group:Energy Storage, Distribution and Supply
Objective Field:Energy Services and Utilities
Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:114443
Year Published:2016
Deposited By:Engineering
Deposited On:2017-02-15
Last Modified:2017-06-27
Downloads:0

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