Multi-park collaborative integrated energy system optimization method considering stepped carbon transaction

By constructing an optimization model for a multi-park collaborative integrated energy system with tiered carbon trading, the problem of insufficient energy complementarity in the collaborative operation of multiple parks was solved, and the system achieved efficient operation and low carbon emissions under complex carbon trading policies.

CN121010042APending Publication Date: 2025-11-25SOUTHWEST PETROLEUM UNIV
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Patent Information

Application Number
CN202511114034.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-11
Publication Date
2025-11-25

AI Technical Summary

Technical Problem

Existing integrated energy system optimization methods lack support for the coordinated operation of multiple industrial parks, making it difficult to adapt to the needs of tiered carbon trading. This results in the underutilization of energy complementarity potential and limited system flexibility and economic efficiency.

Method used

A multi-park collaborative integrated energy system optimization method considering tiered carbon trading is adopted. By constructing objective functions and constraints, a state optimization algorithm is used to generate multi-park collaborative operation schemes, including optimization models for energy purchase costs, carbon emission costs, and energy curtailment penalty costs, combined with a cross-park mutual assistance mechanism for electricity, heat, and hydrogen energy.

Benefits of technology

This improves the system's applicability under complex carbon trading policies, incentivizes the priority scheduling of low-carbon equipment, reduces the system's total carbon emissions, increases the renewable energy absorption rate and equipment utilization rate, and lowers operating costs.

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Abstract

The invention relates to the field of comprehensive energy system optimization, in particular to a multi-park collaborative comprehensive energy system optimization method considering stepped carbon transactions. The method comprises the following steps: firstly, acquiring multi-source data including energy prices, carbon transaction rules, equipment parameters and park interaction limits; constructing a target function with the purpose of minimizing the total operation cost of the system, wherein the target function covers the energy purchasing cost, the stepped carbon transaction cost and the energy abandoning punishment cost; designing composite constraint conditions of energy balance, node constraint, multi-energy conversion, energy storage dynamics, carbon emission segmented pricing and inter-park energy interaction; and finally, solving and generating a multi-park cooperative operation scheme through a state optimization algorithm. According to the invention, through integration of a stepped carbon transaction mechanism and multi-park dynamic energy flow allocation, the problems of extensive carbon cost accounting and insufficient consideration of an inter-park energy complementation strategy in an existing method are solved, and collaborative optimization of economical efficiency and low-carbon performance is realized.
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