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

作　　者：张浩鹏[1] 李泽宁 薛屹洵 常馨月 苏珈 孙宏斌 ZHANG Haopeng;LI Zening;XUE Yixun;CHANG Xinyue;SU Jia;SUN Hongbin(Key Laboratory of Cleaner Intelligent Control on Coal&Electricity,Ministry of Education,Taiyuan University of Technology(School of Electrical and Power Engineering,Taiyuan University of Technology),Taiyuan 030024,Shanxi Province,China)

机构地区：[1]太原理工大学煤电清洁智能控制教育部重点实验室(太原理工大学电气与动力工程学院),山西省太原市030024

出　　处：《中国电机工程学报》2025年第3期899-910,I0008,共13页PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING

基　　金：山西省自然科学基金(青年科学基金项目)(202303021212057);国家自然科学基金项目(U22A6007,52307131)。

摘　　要：为降低城市化进程中楼宇储能投资成本,提出一种基于共享储能服务的智能楼宇(intelligent buildings,IBs)双层优化配置方法。首先,建立计及寿命周期的共享储能电站(shared energy storage station,SESS)模型;其次,基于楼宇建筑物热惯性,构建含空调系统的IBs数学模型;然后,综合考虑SESS与IBs的差异化利益诉求,建立基于SESS的IBs双层优化模型。上层模型目标函数旨在降低SESS的规划成本,下层模型目标函数旨在降低IBs的年运行成本,并采用卡罗需-库恩-塔克(Karush-Kuhn-Tucher,KKT)条件将原双层优化问题转换为单层混合整数线性规划问题进行求解。最后,以3个IBs社区的四季典型日为例,对比分析不同优化配置方法对于IBs运行和SESS配置结果的影响。结果表明,在满足IBs用户温度舒适性的同时,所提双层优化配置方法可充分满足SESS运营商与IBs的差异化利益诉求,实现双方的共赢。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 

分 类 号：TM73[电气工程—电力系统及自动化]