Optimization Operation Method for Integrated Energy Systems in Parks Considering Carbon Excess Rate and Electricity-to-Gas Conversion
Year: 2025
Type: article
Abstract: [Objective] With the proposal of "carbon peak, carbon neutrality" goal, the concept of low-carbon environmental protection has been raised to a new height. As energy terminals, the parks have become an important carrier of low-carbon emission reduction. [Method] Aiming at the operation economy of the integrated energy system in the parks with electricity-gas-heat coupling and the problem of wind and light curtailment, an optimization operation method for the integrated energy systems in parks based on electricity-to-gas （P2G） conversion was proposed. The electrolysis tanks, methane reactors and hydrogen fuel cells were introduced to replace the traditional P2G, providing an effective method for new energy consumption. [Result] In order to further reduce the carbon dioxide emissions in the parks, a stepped carbon trading mechanism based on the carbon excess rate was introduced. Taking the daily operating cost of the parks as the optimization target, an optimal scheduling model was established to set constraints to satisfy the supply/demand balance of the integrated energy system and the operation of the equipment in the parks. The results show a 12.4% reduction in system operating costs, a 16.2% reduction in system carbon emissions, and a 29.3% and 25.7% increase in wind and photovoltaic utilization, respectively. [Conclusion] The CPLEX business solver is used as a solution, and the proposed strategy is compared and verified to effectively improve the economy and low carbon of the integrated energy system in the parks by setting up multiple operation scenarios, which provides a strong support for the parks to achieve the goal of carbon emission reduction.
Authors: Libing JIANG, Jianhua SHEN, Wan PANG, Hao SUN, Chenxi QU
Institution: Shenyang University of Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6906083394
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