Planning Research on Electrically Coupled Integrated Energy System Based on ARIMA-LSTM Model

Abstract

Abstract This paper firstly establishes the mathematical models of electric networks, natural gas networks and electrically coupled equipment, respectively, and models them comprehensively to form the basic architecture of an electrically coupled integrated energy system. Based on this, an integrated energy system planning model based on the ARIMA-LSTM model is proposed, and the objective function is optimized. Among them, the ARIMA model is used to fix the order of the objective function, and the LSTM model is used to train the backpropagation of the error of the objective function. Finally, the effectiveness of electrical cost planning and CO2 emission planning is verified by simulation experiments under two scenarios. The results show that scenario 1 saves $79,799.8 in electricity cost and reduces 11,612 t of CO2 emissions compared with scenario 2, which is not configured with an electrically coupled integrated energy system. The research in this paper provides new ideas and methods for the planning of electrically coupled integrated energy systems, which have certain academic value and application prospects.