Research on marine fhotovoltaic power forecasting based on Wavelet Transform and Echo State Network

• Autorzy: Du X. , Wang S. , Zhang J.

Identyfikatory

DOI

10.1515/pomr-2017-0064

• Języki publikacji: EN

Abstrakty

EN

With the rapid development of photovoltaic power generation technology, photovoltaic power generation system has gradually become an important component of the integrated energy system of marine. High precision short-term photovoltaic power generation forecasting is becoming one of the key technologies in ship energy saving and ship energy efficiency improving. Aiming at the characteristics of marine photovoltaic power generation system, we designed a highprecision power forecasting model (WT+ESN) for marine photovoltaic power generation system with anti-marine environmental interference. In this model, the information mining of the photovoltaic system in marine environment is carried out based on wavelet theory, then the forecasting model basing on echo state network is construct ed. Lastly, three kinds of error metrics are compared with the three traditional models by Matlab, the result shows that the model has high forecasting accuracy and strong robustness to marine environmental factors, which is of great significance to save fuel for ships, improve the energy utilization rate and assist the power dispatching and fuel dispatching of the marine power generation system.

Słowa kluczowe

EN

marine photovoltaic power system; power forecasting; Wavelet Transform; Echo State Network

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2017
• Tom: S 2
• Strony: 53--59
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Du X.

• College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan, Shanxi, 030000 China

autor

Wang S.

• College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China

autor

Zhang J.

• College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).