For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Analysis of Magnetic Field of the New Phase-Shifting Transformer
p.919
Analysis of Wireless Network Security Based on 4-Way Handshake Protocol
p.924
The Design of the Visualized Electric Pre-Warning System in the Working Face Floor
p.930
The Design of TTCAN Bus Network Node Based on Embedded Operating System VxWorks
p.937
The Output Power of the PV Power Plant Modeling Based on ANFIS
p.945
Transient Responses in Continuous Co-Phase Traction Power Supply System
p.955
Vehicle Display and Control Terminal Design Based on the MPC5121e and Embedded Linux
p.962
A Single-Phase / Three-Phase Transformer Designed for Voltage Detection Unit of 400Hz Converter Excitation Regulator
p.967
Discussion on Key Issues of High-Resolution Panel Driver IC Design
p.972

The Output Power of the PV Power Plant Modeling Based on ANFIS

Article Preview

Abstract:

To find an effective and reasonable method for calculating precisely the output power of the PV power plant, adaptive neuro-fuzzy inference system (ANFIS) based on Takagi-Sugeno (TS) is proposed. Analysis of the various weather factors that affect the output power of the PV power plant, and select the appropriate input ,MATLAB as a tool ,depend on the different input variable to establish different output power of photovoltaic power plants based on the subtractive clustering the ANFIS model .Results show that all the model has a high accuracy and meet the practical engineering application requirements,by comparing models choose the optimal model.

You might also be interested in these eBooks
Advanced Manufacturing and Industrial Engineering View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1006-1007)

Pages:

945-954

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.945

Citation:

Cite this paper

Online since:

August 2014

Authors:

Ling Liu, Bao Guo Tang, Kai Sun

Keywords:

Adaptive Neuro-Fuzzy Inference System (ANFIS), Input Various, Output Power, Subtractive Clustering, T-S Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Motorola, G18 GSM/GPRS OEM Embedded Module Developer manual, (2002).

Google Scholar

[2] Analysis of the Sallen-Key Architecture ，Texas Instrument Application Report SLOA024A, July1999.

Google Scholar

[3] Philips Semiconductors, LPC2119/2129/2194/2292/2294 USER MANUAL, 2004. 02.

Google Scholar

[4] DengJulong. IntroductiontoGreyTheory, ThejournalofGreySystem, 1989, 1(l): 1-24.

Google Scholar

[5] ManuRainbowsPowerSystems oftheFuture. IEEEPowerEngineeringReview, 2000, (l): 5-9.

Google Scholar

[6] LiHongxing. Fuzzyperturbationanalysis. 1995, 17(2): 189-198.

Google Scholar

[7] Alerts FACTSTechnologyDevelopmentAnUpdate. IEEEPowerEngineeringReview, 2000, (3)4-9.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.