Stochastic and Distributed Optimal Energy Management of Active Distribution Networks Within Integrated Office Buildings

作     者：Zening Li Su Su Xiaolong Jin Mingchao Xia Qifang Chen Koji Yamashita Zening Li;Su Su;Xiaolong Jin;Mingchao Xia;Qifang Chen;Koji Yamashita

作者机构：National Active Distribution Network Technology Research CenterBeijing Jiaotong UniversityBeijing 100044China Key Laboratory of Smart Grid of Ministry of EducationTianjin UniversityTianjin 300072China Electrical and Computer EngineeringUniversity of California RiversideCA92521USA. 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2024年第10卷第2期

页      面：504-517页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

基　　金：supported in part by the Fundamental Research Funds for the Central Universities(2021YJS148) the National Natural Science Foundation of China(Grant No.51677004). 

主　　题：ADN EV HVAC system Office building Stochastic and distributed energy management 

摘      要：This paper proposes a stochastic and distributed optimal energy management approach for active distribution networks(ADNs)within office buildings.The proposed approach aims at scheduling office buildings fitted with heating ventilation and air conditioning(HVAC)systems,and electric vehicle(EV)charging piles,to participate in the ADN optimization.First,an energy management approach for the ADN with aggregated office buildings is proposed.And the ADN optimization model is formulated considering the detailed building thermal dynamics and the mobile behaviors of workers.Then,to consider un-certainties of photovoltaic(PV)power,scenario-based stochastic programming is integrated into the ADN optimization model.To further realize the stochastic energy management of the ADN within office buildings in a distributed manner,the alternating direction method of multipliers(ADMM)is used to solve the ADN optimization model.The original ADN optimization problem is divided into the network-side and the building-side sub-problems to effectively protect the privacy of the ADN and the office buildings.Finally,the ADN optimization model incorporating office buildings is validated in the winter by numerical studies.In addition,the impacts of comfort temperature range and expected state of charge(SOC)at departure are analyzed.Index Terms—ADN,EV,HVAC system,Office building,Stochastic and distributed energy management.