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Keywords

wind-photovoltaic synergy power;power forecasting;mutual information;bidirectional long short-termmemory;attention mechanism;dung beetle optimizer

Abstract

Wind-photovoltaic synergy power is the trend in the development of new electric power systems.However，both electricity generation fluctuates greatly with the environment，which exerts an impact on the forecasting accuracy for the whole system power.This paper explores an innovative model to analyze and forecast the wind-photovoltaic synergy power for the purpose of a more accurate forecasting result.Firstly，the structure of the wind-photovoltaic synergy power system and the synergy power model of wind power and photovoltaic power are analyzed.Secondly，the relationship between the influence factors of wind power and photovoltaic power is discussed using the mutual information coupling method.Thirdly，the DBO-BiLSTM-Attention model is constructed to lay the foundation for forecasting the wind-photovoltaic synergy power.Finally，the scenario analysis，method comparison analysis，and the sensitivity analysis are conducted to verify the effectiveness and rationality of the proposed model.The results show that the proposed model has good performance and can provide a valuable reference for forecasting wind-photovoltaic synergy power effectively and accurately.

DOI

10.19781/j.issn.1673-9140.2025.04.013

First Page

134

Last Page

149

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