晏鸣宇

个人信息Personal Information

研究员(自然科学)   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:电气与电子工程学院

学历:研究生(博士)毕业

学位:工学博士学位

毕业院校:伊利诺伊理工大学

学科:电力系统及其自动化

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Distribution network-constrained optimization of peer-to-peer transactive energy trading among multi-microgrids

点击次数:

论文类型:期刊论文

论文编号:20488146

第一作者:Mingyu Yan

通讯作者:Mohammad Shahidehpour

合写作者:Aleksi Paaso,Liuxi Zhang,Ahmed Alabdulwahab,Abdullah Abusorrah

发表刊物:IEEE transactions on smart grid

收录刊物:SCI

刊物所在地:美国

学科门类:工学

一级学科:电气工程

文献类型:J

卷号:12

期号:2

页面范围:1033-1047

ISSN号:1949-3053

关键字:Peer-to-peer transactive energy, network reconfiguration, multi-leader multi-follower Stackelberg game.

DOI码:10.1109/TSG.2020.3032889

发表时间:2021-03-01

影响因子:10.275

摘要:This article proposes a two-level network-constrained peer-to-peer (P2P) transactive energy for multi-microgrids (MGs), which guarantees the distribution power network security and allows MGs to trade energy with each other flexibly. At the lower level, a P2P transactive energy is employed for multi-MGs to trade energy with each other. A multi-leader multi-follower (MLMF) Stackelberg game approach is utilized to model the energy trading process among MGs. We prove the existence and the uniqueness of the Stackelberg equilibrium (SE) and provide the closed-form expression for SE. For privacy concerns, we provide several distributed algorithms to obtain SE. At the upper level, the distribution system operator (DSO) reconfigures the distribution network based on the P2P transactive energy trading results by applying the AC optimal power flow considering the distribution network reconfiguration. If there are any network violations, DSO requests trading adjustments at the lower level for network security. We reformulate the DSO operation problem in a mixed-integer second-order cone programming (MISOCP) model and ensure its solution accuracy. Numerical results for a 4-Microgrid system, a modified IEEE 33-bus and 123-bus distribution power system show the effectiveness of the proposed transactive model and its solution technique.

发布期刊链接:https://ieeexplore.ieee.org/abstract/document/9235517