中国电机工程学报2025，Vol.45Issue(3)：899-910,中插8,13.DOI:10.13334/j.0258-8013.pcsee.231919
基于共享储能服务的智能楼宇双层优化配置
Bi-level Optimal Configuration of Intelligent Buildings Based on Shared Energy Storage Services
摘要
Abstract
To address the issue of high investment costs in building-side energy storage during urbanization,this paper proposes a bi-level optimal configuration method of intelligent buildings(IBs)based on shared energy storage services.First,a shared energy storage station(SESS)model considering the lifecycle is established.Then,a mathematical model for IBs is constructed,considering the thermal inertia of building structures and air conditioning systems.Next,the method comprehensively considers the differentiated interests and demands of both SESS and IBs,leading to the development of a bi-level optimal model based on SESS for IBs.The upper-level model aims to reduce the planning cost of the SESS.The lower-level model aims to minimize the annual operational cost of IBs and employs the KKT conditions to transform the original bi-level optimal problem into a single-level mixed-integer linear programming problem for solving.Finally,using four typical days from three IBs communities as examples,a comparative analysis is conducted to assess the impact of different optimal configurations on the operation of IBs and the configuration results of SESS.The case study demonstrates that the proposed optimal configuration method ensures the interests of different stakeholders,achieves a win-win situation for both SESS operators and IBs,and guarantees the temperature comfort of IBs'users.关键词
空调/双层优化配置/建筑热惯性/智能楼宇/共享储能Key words
air conditioner/bi-level optimal configuration/building thermal inertia/intelligent buildings/shared energy storage分类
信息技术与安全科学引用本文复制引用
张浩鹏,李泽宁,薛屹洵,常馨月,苏珈,孙宏斌..基于共享储能服务的智能楼宇双层优化配置[J].中国电机工程学报,2025,45(3):899-910,中插8,13.基金项目
山西省自然科学基金(青年科学基金项目)(202303021212057) （青年科学基金项目）
国家自然科学基金项目(U22A6007,52307131). Project Supported by Natural Science Foundation of Shanxi Province(Young Scientistic Program)(202303021212057) （U22A6007,52307131）
National Natural Science Foundation of China(U22A6007,52307131). （U22A6007,52307131）
