Journal of System Simulation
Abstract
Abstract: To explore a new energy management model of P2P transaction of electricity, heat and carbon among IES with the participation of ESP, a P2P energy-carbon management method of IES considering multi-agent interaction strategy is proposed. A two-layer energy management framework with the multiagent participation of involving ESP and IES is established. A two-layer electricity-heat-carbon energy management model is constructed in which the upper model is constructed based on reinforcement learning framework to optimize the energy management strategy between ESP and IES cooperative alliance and the lower model is based on Nash negotiation game theory to optimize the cooperative operation strategy among multiple IESs. A typical system is taken as an example to analyze the optimal energy management strategy of IES under P2P mode. The results show that the proposed method can effectively conduct electricity-heat scheduling, maximize system benefits and reduce carbon emissions.
Recommended Citation
Wang, Yudong and Hu, Junjie
(2024)
"Peer-to-peer Energy-carbon Management Method of Multiple Integrated Energy Systems Considering Multi-agent Interaction Strategy,"
Journal of System Simulation: Vol. 36:
Iss.
10, Article 22.
DOI: 10.16182/j.issn1004731x.joss.23-0731
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss10/22
First Page
2488
Last Page
2502
CLC
TP391
Recommended Citation
Wang Yudong, Hu Junjie. Peer-to-peer Energy-carbon Management Method of Multiple Integrated Energy Systems Considering Multi-agent Interaction Strategy[J]. Journal of System Simulation, 2024, 36(10): 2488-2502.
DOI
10.16182/j.issn1004731x.joss.23-0731
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