Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence

Yan Wang, Hejuan Hu, Xiaoyan Sun, Yong Zhang and Dunwei Gong

Applied Energy, 2022, vol. 328, issue C, No S0306261922013630

Abstract: An integrated coal mine energy system involves the production, transmission, conversion, storage, and consumption of multiple types of energy with complicated coupling relationships. The operation optimization problem of this system is characterized by multi-scenario, multi-variable, multi-objective, and strong constraints, making it difficult to be solved. Based on the structure of this system, a unified system operation optimization model suitable for various scenarios is established to minimize the economic and carbon transaction costs. To effectively solve optimization problems in various scenarios, we propose an autonomous intelligent optimization strategy based on a support vector machine to make full use of their characteristics in various scenarios to generate the most target intelligent optimization algorithms. To improve the performance of a population in convergence under strong constraints, we develop three strategies for repairing infeasible solutions according to specific preferences. Taking a mine in Shanxi Province as the object under test, a series of experiments are conducted under four typical scenarios, and the experimental results show the effectiveness of the proposed algorithm.

Keywords: Integrated coal mine energy system; Operation optimization; Autonomous intelligent optimization; Constrained multi-objective optimization; Carbon transaction (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.apenergy.2022.120106

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