TY - JOUR
T1 - Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends
AU - Tang, Bao Jun
AU - Cao, Xi Lin
AU - Li, Ru
AU - Xiang, Zhi Bo
AU - Zhang, Sen
N1 - Publisher Copyright:
© 2024
PY - 2024/9/1
Y1 - 2024/9/1
N2 - The integrated energy system facilitates the synergistic and efficient utilization of diverse energy. Establishing interconnected regional energy internets by linking multiple integrated energy systems enables the realization of cross-sector, cross-temporal, and cross-subject energy coupling, consequently enhancing economic benefits, driving profound decarbonization, and bolstering energy resilience. This study develops a multi-agent planning model grounded in an electricity-heat-hydrogen sharing framework, collaboratively optimizing capacity configurations and energy scheduling strategies across various integrated energy systems containing emerging technologies. Furthermore, this study integrates the trading volume and prices of various energy sources to distinguish the energy sharing contribution of each participant, then combines with the Nash bargaining game, forming a fair cooperative benefit allocation incentive mechanism. The proposed model is adeptly solved using the alternating directions method of multipliers, ensuring the protection of participants’ private information. To reflect seasonal characteristics of energy supply and demand, this study uses the daily data of three integrated energy systems across four seasons to simulate. The research results reveal an annual cost saving of 233.73 thousand RMB and a reduction of 290.85 tCO2. Additionally, the impact of variations in electricity operation modes, uncertainties, and emerging technical advances are evaluated to further validate the sustainability of the multi-energy trading mechanism.
AB - The integrated energy system facilitates the synergistic and efficient utilization of diverse energy. Establishing interconnected regional energy internets by linking multiple integrated energy systems enables the realization of cross-sector, cross-temporal, and cross-subject energy coupling, consequently enhancing economic benefits, driving profound decarbonization, and bolstering energy resilience. This study develops a multi-agent planning model grounded in an electricity-heat-hydrogen sharing framework, collaboratively optimizing capacity configurations and energy scheduling strategies across various integrated energy systems containing emerging technologies. Furthermore, this study integrates the trading volume and prices of various energy sources to distinguish the energy sharing contribution of each participant, then combines with the Nash bargaining game, forming a fair cooperative benefit allocation incentive mechanism. The proposed model is adeptly solved using the alternating directions method of multipliers, ensuring the protection of participants’ private information. To reflect seasonal characteristics of energy supply and demand, this study uses the daily data of three integrated energy systems across four seasons to simulate. The research results reveal an annual cost saving of 233.73 thousand RMB and a reduction of 290.85 tCO2. Additionally, the impact of variations in electricity operation modes, uncertainties, and emerging technical advances are evaluated to further validate the sustainability of the multi-energy trading mechanism.
KW - Hydrogen energy technology
KW - Improved nash bargaining model
KW - Integrated energy system
KW - Management strategies
KW - Multi-energy sharing
UR - http://www.scopus.com/inward/record.url?scp=85194351088&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2024.131850
DO - 10.1016/j.energy.2024.131850
M3 - Article
AN - SCOPUS:85194351088
SN - 0360-5442
VL - 302
JO - Energy
JF - Energy
M1 - 131850
ER -