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Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS

Robust optimal dispatch strategy of integrated energy system considering CHP-P2G-CCS

作     者:Bin Zhang Yihui Xia Xiaotao Peng Bin Zhang;Yihui Xia;Xiaotao Peng

作者机构:School of Electrical EngineeringNaval University of EngineeringWuhan 430000P.R.China School of Electrical EngineeringWuhan UniversityWuhan 430072P.R.China 

出 版 物:《Global Energy Interconnection》 (全球能源互联网(英文版))

年 卷 期:2024年第7卷第1期

页      面:14-24页

核心收录:

学科分类:080702[工学-热能工程] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基  金:supported by the National Natural Science Foundation of China(Grant number 51977154) 

主  题:Combined heat and power Power-to-gas Carbon capture system Integrated energy system Robust optimization 

摘      要:Integrated energy systems(IESs)can improve energy efficiency and reduce carbon emissions,essential for achieving peak carbon emissions and carbon *** study investigated the characteristics of the CHP model considering P2G and carbon capture systems,and a two-stage robust optimization model of the electricity-heat-gascold integrated energy system was ***,a CHP model considering the P2G and carbon capture system was established,and the electric-thermal coupling characteristics and P2G capacity constraints of the model were derived,which proved that the model could weaken the electric-thermal coupling characteristics,increase the electric power regulation range,and reduce carbon ***,a two-stage robust optimal scheduling model of an IES was constructed,in which the objective function in the day-ahead scheduling stage was to minimize the start-up and shutdown *** objective function in the real-time scheduling stage was to minimize the equipment operating costs,carbon emission costs,wind curtailment,and solar curtailment costs,considering multiple ***,after the objective function is linearized with a ψ-piecewise method,the model is solved based on the C&CG *** results show that the proposed model can effectively absorb renewable energy and reduce the total cost of the system.

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