Modeling Method of Multi-Energy Systems Based on LSTM Algorithm

作     者：Di Qiu Fei Chen Dong Liu Min Cao Siyang Liu 

作者机构：Shanghai Jiao Tong UniversityShanghai 200240China Yunnan Power Grid Co.Ltd 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2024年第10卷第4期

页      面：1701-1709页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 082701[工学-核能科学与工程] 0827[工学-核科学与技术] 

基　　金：supported by National Key Research and Development Program(2018YFB2100100) 

主　　题：Energy hub LSTM multi-energy supply system pipeline system modeling 

摘      要：The development of the Energy Internet has improved the efficiency of energy utilization and promoted sustainable development of power and energy *** multi-energy system modeling considering the dynamic process of transmission line is one of the key research points of Energy Internet operation *** the energy circuit theory,the lumped parameter model of natural gas pipelines is built and the dynamic characteristic parameters under the control instruction are *** with dynamic characteristic parameters,the long short-term memory(LSTM)neural network is designed to fit the natural gas pipeline dynamic process into discrete linear time-varying(LTV)*** with the equations,an energy hub method is used to build a control model of industrial parks with multi-energy distribution *** the rolling optimal control strategy given in this paper,the model is solved by the Matlab-Yalmip solver and rolling control instructions of each energy conversion unit are ***,the case study demonstrates that the LSTM neural network-based modeling method presented in this paper can accurately fit the dynamic process of a natural gas pipeline *** rolling control model of the multi-energy system can improve the efficiency of energy utilization,exhibit the transmission line status constraints during the optimization control process and improve reliability of the multi-energy system operation.