电力建设2025，Vol.46Issue(3)：116-127,12.DOI:10.12204/j.issn.1000-7229.2025.03.010
考虑电碳耦合和灵活性供需平衡的源网荷储协同规划方法
Source-Grid-Load-Storage Synergistic Planning Considering Electricity-Carbon Coupling and Flexible Supply-Demand Balance
摘要
Abstract
In the context of the power and carbon trading markets,addressing the flexibility requirements of power systems with a high penetration of renewable energy while minimizing investments and construction costs is crucial.This paper proposes a collaborative planning method for source-grid-load-storage,incorporating electricity-carbon coupling and flexible supply-demand balance.First,the electricity-carbon coupling relationship is established by considering electricity prices and carbon trading prices.Second,the adjustable potential of flexible load is analyzed,and a price-based demand response model is developed based on adaptive time-sharing tariffs under electricity-carbon coupling.Third,the flexibility supply capacity of various resources within the power system is assessed,leading to the formulation of a flexibility supply-demand equilibrium model.This model is further refined using a full life-cycle theory.Subsequently,a two-layer source-grid-load-storage cooperative planning model is proposed,with the upper layer aimed at minimizing the integrated cost of construction investment using the equal annual value method,while the lower layer seeks to minimize the sum of the annual operational cost of the power system and the annual carbon trading cost.Finally,the improved adaptive genetic algorithm is used to solve the model.The case study results demonstrate that the proposed method provides a valuable reference for the collaborative planning of source-grid-load-storage systems.关键词
电力系统规划/灵活性供需平衡/源网荷储协同规划/电碳耦合/碳交易Key words
power system planning/flexible supply-demand balance/source-grid-load-storage collaborative planning/electricity-carbon coupling/carbon trading分类
动力与电气工程引用本文复制引用
肖白,张清佰,秦伟东,屈高强,孔译辉,张晓华..考虑电碳耦合和灵活性供需平衡的源网荷储协同规划方法[J].电力建设,2025,46(3):116-127,12.基金项目
This work is supported by National Key R&D Program of China(No.2017YFB0902205)and the Industrial Innovation Foundation of Jilin Province(No.2019C058-7). 国家重点研发计划资助项目(2017YFB0902205) （No.2017YFB0902205）
吉林省产业创新专项基金项目(2019C058-7) （2019C058-7）
