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

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Robust two-stage regional-district scheduling of multi-carrier energy systems with a large penetration of wind power

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论文类型:期刊论文

论文编号:19100236

第一作者:Mingyu Yan

通讯作者:Mohammad Shahidehpour

合写作者:Ning Zhang,Xiaomeng Ai,Chongqing Kang,Jinyu Wen

发表刊物:IEEE Transactions on Sustainable Energy

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:10

期号:3

页面范围:1227-1239

ISSN号:1949-3029

关键字:Multi-carrier energy system, energy hub, robust optimization, nested column-and-constraint generation, wind energy, acceleration strategy

DOI码:10.1109/TSTE.2018.2864296

发表时间:2019-07-01

影响因子:8.31

摘要:This paper proposes a robust day-ahead scheduling method for a multi-carrier energy system (MES), which would enhance the flexibility of power systems with a large sum of variable wind power. We build an MES model and propose an optimal MES schedule which helps MES reduce wind power curtailment in power systems. At first, electricity and natural gas networks are coordinated at the transmission (regional) level for accommodating the large penetration of wind power in regional MES. The distribution (district) level MES coordinates energy conversion and storage to jointly supply the electricity, natural gas, and heat loads. The transmission level MES is modeled using detailed network equations while the distribution level MES is modeled as a device with multiple input/output ports using the linear branch-flow-based energy hub model. A two-stage robust model is established to consider the variability of wind power at the two MES levels. The proposed problem is solved by a nested column-and-constraint (C&CG) generation method. The first-stage problem which schedules the hourly unit commitment is solved in the outer loop, while the inner loop solves the second-stage problem to realize the worst scenario. Several acceleration strategies are utilized to enhance the computational performance of the nested C&CG. Numerical results offered for a 6-bus 3-node system and a modified IEEE 118-bus 10-node system show the effectiveness of the proposed MES model and solution technique for enhancing the power system flexibility.

发布期刊链接:https://ieeexplore.ieee.org/abstract/document/8429257