广东电力2025，Vol.38Issue(9)：93-107,15.DOI:10.3969/j.issn.1007-290X.2025.09.009
考虑源荷时序关联特性与需求响应弹性调节的园区低碳规划方法
Low-carbon Park Planning Method Considering Source-load Time-series Correlation and Demand Response Elasticity Adjustment
摘要
Abstract
For the park integrated energy systems,existing typical scenario extraction methods often neglect the time-series correlation characteristics between energy supply and demand,and the price-based demand response models are difficult to effectively coordinate the system's dynamic supply-demand relationship,leading to significant deviations between planning assumptions and actual operational performance.Therefore,this paper aims to improve the economy and low-carbon of the park planning method from the two key links of typical scenario extraction method and demand response elasticity adjustment.Firstly,the park energy flow architecture including five energy forms is constructed,and the multivariable dynamic time warping algorithm and hierarchical clustering algorithm are introduced to extract typical scenes considering the time-series correlation characteristics of source loads.Secondly,the transferable,replaceable and reducible demand response model is established,in which the transferable demand response quantity determines the boundary according to the price demand elasticity matrix and can be flexibly adjusted according to the supply and demand of the system.Finally,the low-carbon planning model of the park is constructed with the goal of minimizing the cost of the whole life cycle of the system.The case study shows that the total cost and carbon emissions of the system can be reduced by 55.9％and 47.3％respectively through the collaborative implementation of flexible resources and demand response.At the same time,the planning method considering time-series correlation of source load can improve the economy and low-carbon of the system while ensuring robustness.关键词
园区综合能源系统/需求侧响应/低碳规划/时序关联特性/多变量动态时间规整/层次聚类Key words
park integrated energy system(PIES)/demand response/low-carbon planning/time-series correlation characteristic/multivariate dynamic time warping(MDTW)/hierarchical clustering分类
信息技术与安全科学引用本文复制引用
钟锦星,陈艺丹,叶羽转,蔡煜,赵一霖..考虑源荷时序关联特性与需求响应弹性调节的园区低碳规划方法[J].广东电力,2025,38(9):93-107,15.基金项目
中国南方电网有限责任公司科技项目[031900KC23060001(GDKJXM20230678)] （GDKJXM20230678）
