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In view of the mining integrated energy system suffers from multiple source-load uncertainties including fluctuating wind and photovoltaic output, dynamic variation of mine production load and unstable associated energy output after the integration of new energy such as wind power and photovoltaic power, which greatly increases scheduling complexity and makes it difficult to guarantee energy efficiency, a scheduling method integrating uncertainty analysis and multi-level collaboration optimization was proposed. Firstly, an energy flow model covering source-grid-load-storage was constructed, and a multi-scale source-load uncertainty interval model was established to quantify fluctuation risks. Secondly, a multi-time scale collaborative scheduling framework of day-ahead, intra-day slow layer and intra-day fast layer was designed, and the NSGA-Ⅱ algorithm was improved by adopting a time series segmentation strategy to realize the global optimization of operational cost and energy efficiency. Simulation results based on the integrated energy system of Datong Mining Area show that the system operation cost is reduced to 170 500 yuan, the renewable energy utilization rate is increased to 89.1%, the carbon emission is decreased to 6.83 t, the load tracking error is cut down to 18.9 kW, and the peak shaving rate reaches 17.2%. In addition, the average single-time period solution time of the scheduling method based on series segmentation NSGA-Ⅱ is only 7.0 ms, which is significantly superior to that of traditional methods. The research results verify the effectiveness of the energy scheduling method integrating source-load uncertainty and multi-level collaboration in improving the operational efficiency, energy conservation and emission reduction level of mine energy systems. Feasible scheduling strategies and algorithm support are provided for the efficient and low-carbon operation of mining integrated energy systems under complex uncertain conditions.

, authors=Guangchao Liu, authorsList=Guangchao Liu, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321895057184117351, articleId=1321895056534000229, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=融合源荷不确定性与多级协同的矿山能源调度方法, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

针对风电、光伏等新能源接入后，矿山综合能源系统面临风光出力波动、矿山生产负荷动态变化及伴生能源出力不稳定等多重源荷不确定性，导致调度复杂度大幅提升、能效水平难以保障等难题，提出一种融合不确定性分析与多级协同优化的调度方法。首先，构建包含源-网-荷-储的能量流模型，并建立多尺度源荷不确定区间模型以量化波动风险。其次，设计日前—日内慢层—日内快层多时间尺度协同调度框架，并采用时序分段策略改进NSGA-Ⅱ算法，以实现运行成本与能效的全局寻优。基于大同矿区综合能源系统的仿真结果表明，系统运行成本降低至17.05万元，可再生能源利用率提升至89.1%，碳排放量降至6.83 t，负荷跟踪误差缩减至18.9 kW，峰值削减率达17.2%。此外，基于时序分段NSGA-Ⅱ的调度方法的平均单时段求解时间仅为7.0 ms，显著优于传统方法。研究结果验证了融合源荷不确定性与多级协同的能源调度方法在提升矿山能源系统运行效率与节能减排水平方面的有效性，为矿山综合能源系统在复杂不确定性条件下的高效低碳运行提供了可行的调度策略与算法支撑。

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刘广超（1981—），男，汉族，河南漯河人，硕士，副教授，主要从事采矿理论研究与教学工作。E-mail:liuguangchao1123@126.com

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刘广超（1981—），男，汉族，河南漯河人，硕士，副教授，主要从事采矿理论研究与教学工作。E-mail:liuguangchao1123@126.com

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