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Cluster Computing
Erschienen in: Cluster Computing 1/2017

20.12.2016

UPQC voltage sag detection based on chaotic immune gentic algorithm

Erschienen in: Cluster Computing | Ausgabe 1/2017

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Abstract

Photovoltaic generation is being rapidly developed as a clean energy source. The increased penetration of photovoltaics into power distribution networks has led to power-quality problems. A unified power-quality conditioner (UPQC) is an effective device for power-quality treatment and can compensate for voltage fluctuations and sags in a photovoltaic microgrid. This paper proposes a proportional–integral (PI) controller for detecting and compensating for voltage sags in a UPQC that is based on the chaotic immune genetic algorithm. Simulations showed that the proposed PI controller better compensates for the voltage than the traditional PI controller. Experimental results also showed that the new method can accurately detect and compensate for voltage sags in a photovoltaic microgrid in real time. The proposed PI controller can quickly detect voltage sags and improve the microgrid power quality; it provides a new approach to treating the power quality of a photovoltaic microgrid with a UPQC.
Vorheriger Artikel A genetic algorithm using K-path initialization for community detection in complex networks
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Metadaten
Titel
UPQC voltage sag detection based on chaotic immune gentic algorithm
Publikationsdatum
20.12.2016
Erschienen in
Cluster Computing / Ausgabe 1/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-016-0704-4

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