为充分调动综合能源系统用能灵活性,克服源荷不确定性对调度计划产生的影响,提出一种考虑源荷不确定性和柔性负荷的综合能源系统低碳运行调度方法。首先,针对模糊C均值聚类算法无法有效处理高维数据的缺陷,引入一种基于核的相似度函数代替原先的欧式距离,选用源荷特性指标进行数据降维;其次,采用中位数绝对偏差对各类别下的离散值进行筛选,并以欧式距离之和最小为目标函数构建模型,通过麻雀搜索算法对各时刻下的中心值进行求解,生成典型场景;最后,在不确定环境中,综合考虑柔性电负荷、柔性热负荷以及柔性负荷的可平移、可转移和可削减特性,以运行成本、柔性负荷补偿成本和碳交易成本之和最低为目标进行调度。仿真验证所提方案可有效提升经济效益。
Abstract
This paper proposes a low-carbon operation scheduling method for the integrated energy system considering source-load uncertainty and flexible loads to fully utilize system energy flexibility of the system and mitigate the impact of source-load uncertainty on the scheduling plan. Firstly, to address the limitation of fuzzy C-means algorithm in dealing with high-dimensional data, a kernel-based similarity function is introduced to replace the original Euclidean distance, and the source-load characteristic indices are is selected for data dimensionality reduction. Secondly, the median absolute deviation is used to filter the discrete values in each category, and the model is constructed with the minimum sum of Euclidean distances as the objective function. The central values at each time step are solved by the sparrow search algorithm to generate typical scenarios. Finally, the scheduling is carried out to minimize the sum of operating cost, flexible load compensation cost, and carbon transaction cost in an uncertain environment considering the flexible electric load, flexible heat load, and the shiftable, transferable, and reducible characteristics of the flexible load. Simulation results show that the proposed scheme can effectively improve economic benefits.
关键词
综合能源系统 /
优化调度 /
数学模型 /
柔性负荷 /
碳交易
Key words
integrated energy system /
optimization scheduling /
mathematical models /
flexible load /
carbon trading
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基金
国家重点研发计划（2022YFB2403002）; 天津市高等学校科技发展基金计划项目（2022ZD037）
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