Keywords
Expand carbon emission flow model
Comprehensive demand response
Uncertain environment
Distributed optimization
Submitted : 2024-07-03
Accepted : 2024-07-18
Published : 2024-08-02
Abstract
To ensure the supply and demand balance of integrated energy systems (IES) in the electric-carbon market and solve the complicated interest relationship among participants in the system, a distributed optimal scheduling model based on the extended carbon emission flow theory of integrated energy systems was proposed. Firstly, hydrogen energy production and utilization devices are introduced into the energy supply side to establish an expanded carbon emission flow model of the hydrogen-energy coupling integrated energy system based on carbon emission flow theory. Then, the fuzzy membership function is used to characterize the uncertainty of wind and light output. The distributed optimization algorithm based on goal cascade analysis realizes the decoupling of the integrated energy service provider and the user. This achieves the independent solution of the integrated energy service provider. A numerical example is given to verify that the proposed strategy can realize the stable and optimal operation of the integrated energy system in an uncertain environment.
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