Distributed Energy Management Strategy for Active Distribution Network Incorporating Intelligent Buildings Based on Chance-constrained Programming

被引：0
|
作者：
Su S. [1 ]
Li Z. [1 ]
Jin X. [2 ]
Xia M. [1 ]
Chen Q. [1 ]
机构：
[1] National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Haidian District, Beijing
[2] Key Laboratory of Smart Grid of Ministry of Education (Tianjin University, Nankai Distrtict, Tianjin
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 10期
关键词：
active distribution network; air conditioner; chance-constrained programming; distributed energy management; intelligent buildings;
D O I：
10.13334/j.0258-8013.pcsee.220192
中图分类号：
学科分类号：
摘要：
To achieve the flexible operation of active distribution network (ADN) with intelligent buildings (IBs), a distributed energy management strategy for ADN incorporating IBs based on chance-constrained programming is proposed. First, a mathematical model of IBs with air conditioner flexible loads is constructed based on the building thermal inertia. Secondly, the mathematical model of ADN with IBs based on DistFlow is developed by considering the operational conditions of building and network sides. Then, considering the uncertainties in photovoltaic (PV) output and ambient temperature, the ADN optimization problem with IBs is transformed into a mixed integer second-order cone programming (MISOCP) problem using chance-constrained programming. Finally, to protect the privacy of distribution network operators and customers, the alternating direction method of multipliers (ADMM) is leveraged to achieve distributed energy management of the ADN with IBs. According to the ADMM decoupling mechanism, the original MISOCP problem can be decomposed into a building-side mixed-integer linear programming (MILP) sub-problem and a network-side second-order cone programming (SOCP) sub-problem for solving. The results demonstrate that the proposed strategy can capitalize on the flexibility of IBs to achieve global optimal energy management of the ADN with integrated IBs, while protecting the privacy of each subject’s information. © 2023 Chinese Society for Electrical Engineering. All rights reserved.
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页码：3781 / 3793
页数：12
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