基于多目标人工旅鼠算法的工业园区综合能源优化调度方法研究
投稿时间:2025-08-04  修订日期:2025-11-27  点此下载全文
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作者单位邮编
付金兴* 南京邮电大学自动化学院 210023
隋永波 南京邮电大学自动化学院 
高辉 南京邮电大学自动化学院 
徐子尚 中国电力科学研究院有限公司 
基金项目:国家电网公司总部科技项目“考虑协同降碳的工业乡镇源荷储分层平衡优化调控技术研究与应用”(NO.5400-202416211A-1 -1-ZN)
中文摘要:针对综合能源系统低碳经济调度的优化问题,本文提出了一种基于多目标人工旅鼠算法的工业园区综合能源优化调度方法。首先,以系统综合运行成本与碳排放为优化,构建含有碳捕集电厂以及氢能利用结构的综合能源系统多目标优化调度模型;其次,针对复杂多能流综合能源系统难以准确计算系统碳排放的问题,提出一种改进动态碳排放因子计算系统碳排放,以提高系统碳排放的准确度;然后,针对现有多目标优化算法易陷入局部最优、收敛速度慢等问题,引入非支配排序与选择以及信息反馈机制将人工旅鼠算法改进为多目标人工旅鼠算法,增强其全局搜索能力和收敛性。最后,通过不同场景及不同算法的对比结果表明,所提调度方法可使运行成本最多降低18.20%,碳排放量最多减少36.17%,从而证明了该方法能够有效解决综合能源多目标优化调度问题,具有较高的工程应用价值。
中文关键词:综合能源  人工旅鼠算法  优化调度  碳排放  碳捕集电厂
 
Research on Optimal Scheduling of Integrated Energy Systems in Industrial Parks Based on Multi-Objective Artificial Lemmings Algorithm
Abstract:To address the low-carbon economic dispatch problem of integrated energy systems, a multi-objective artificial lemming algorithm-based optimization method for integrated energy scheduling in industrial parks is proposed in this paper. First, a multi-objective scheduling model is established with minimizing total operating cost and carbon emissions, which includes carbon capture power plants and hydrogen energy utilization. Second, to improve the carbon emission calculation accuracy in complex integrated energy systems, an improved dynamic carbon emission factor method is introduced. Then, to overcome some limitations, e.g., easily trapping in local optimization and slow convergence in traditional optimization algorithms, the artificial lemming algorithm is improved by introducing non-dominated sorting, selection, and feedback mechanisms. This enhancement strengthens its global search ability and convergence. Finally, simulation results under different scenarios and algorithms are given, which show the proposed method reduces operating costs by up to 18.20% and carbon emissions by up to 36.17%. Therefore, the proposed method effectively solves the multi-objective optimization scheduling problem of integrated energy systems and has high engineering application value.
keywords:Integrated energy  Artificial lemming algorithm  Optimal scheduling  Carbon emission  Capture power plant  
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