考虑负荷特性的综合能源系统网格划分方法研究
摘要：针对目前综合能源系统网格划分方法体系尚不成熟，且尚未考虑负荷特性互补的问题，提出一种考虑负荷特性的综合能源系统网格划分方法。首先，采用改进k-means聚类算法对能源网格进行初始划分，即在传统k-means聚类算法的基础上确定网格数量划分范围和初始聚类中心点位置；其次，提出考虑负荷特性的能源网格修正方法，在能源网格初始划分完成后利用负荷特性对网格进行修正，减少每个能源网格内部的负荷峰谷差率与整体网格的负荷峰值；最后，通过模糊理想决策方法选取最优能源网格划分数量，并将该最优网格划分数量进行横向对比。结果表明，相比于不考虑负荷特性的网格划分方法，所提方法能够降低网格7.1%、0.5%、4.5%的电、热、冷负荷峰谷差率和7.9%、11.5%、3.9%的电、热、冷整体负荷峰值。
Abstract:In allusion to the fact that the current gridding partition method system for integrated energy system is not yet mature and in which the complementarity of load characteristics is not taken into account, a grid partition method system for integrated energy system, in which the load characteristics was considered, was proposed. Firstly, using the improved k-means clustering algorithm the initial division of energy grid was performed, i.e., on the basis of traditional k-means clustering algorithm the dividing range of gridding number and the position of initial clustering center were determined. Secondly, a method to revise energy gridding, in which the load characteristics was considered, was proposed, and after the accomplish of initial division of energy gridding the load characteristics was utilized to modify the gridding to reduce the inner peak valley rate of load in each energy gridding and the peak load of total grid. Finally, by means of fuzzy ideal decision-making the optimal number of energy gridding division was chosen, and the horizontal comparison of the number of divided number of optimal gridding was conducted. Comparison results show that comparing with the grid division method without considering the load characteristics, using the proposed method the peak-to-valley rates of electrical, heating and cooling loads can be reduced by 7.1%, 0.5% and 4.5% respectively, and the overall peak load of electrical, heating and cooling can be reduced by 7.9%, 11.5% and 3.9% respectively.
标题：考虑负荷特性的综合能源系统网格划分方法研究
英文标题：Research on Grid Division Method of Integrated Energy System Considering Load Characteristics
作者：钱康, 许一航, 朱东升, 晏阳, 朱俊澎, 袁越,
关键词：综合能源系统, 改进k-means聚类, 能源网格, 负荷特性, 模糊理想决策,
发表日期：2023-09-26
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