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Distributed Transmission-Distribution Coordinated Energy Management Based on Generalized Master-Slave Splitting Theory

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  • © 2018

Overview

  • Nominated as an outstanding PhD thesis by Tsinghua University
  • The first thesis on the topic of transmission-distribution coordinated energy management
  • Offers novel and efficient distributed algorithms to solve a multi-area coordinated energy management problem
  • Provides valuable recommendations for future power system operation in the context of a high degree of renewable energy penetration
  • Includes a detailed comparison of various distributed optimization algorithms

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (8 chapters)

Keywords

About this book

To ensure the security and economy of future power system operation in the context of a high degree of renewable energy penetration, this thesis proposes a new distributed algorithm called generalized master-slave-splitting (G-MSS) theory and a new transmission-distribution coordinated energy management (TDCEM) method that is based on the G-MSS theory.

The thesis studies the mathematical properties of the G-MSS theory in detail. Based on the G-MSS theory, a distributed TDCEM method – which involves distributed security analysis, distributed voltage stability analysis, distributed economic dispatch and distributed optimal power flow for an integrated transmission-distribution system – is then developed for the first time. The thesis demonstrates that the proposed TDCEM method significantly contributes to more reliable and optimal operation in power systems. The book will benefit researchers, scientists and engineers in the field of power system operation and optimization.

Authors and Affiliations

  • Tsinghua-Berkeley Shenzhen Institute , Shenzhen, China

    Zhengshuo Li

About the author

Li Zhengshuo

Professional Experience

Ø  Postdoc Fellow in Electrical Engineering (2016.7-2018.7)

Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong, China

Research Topic: Coordinated Energy Management of Integrated Transmission and Distribution Power Systems Considering Uncertainty

Education

Ø  Ph.D. in Electrical Engineering (2011.9-2016.7)

Tsinghua University, Beijing, China

Research Topic: Coordinated Energy Management of Integrated Transmission and Distribution Power Systems

Supervisor: Prof. Hongbin Sun

- GPA: 94.6/100 (top one)

- Academic Rookie of Department of Electrical Engineering in Tsinghua University

- Excellent Doctoral Dissertation of Tsinghua University

- Excellent Graduate of Beijing

Honors and Awards

- 2016 Win China Postdoctoral Science Foundation (first class)

- 2016 Excellent Doctoral Dissertation of Tsinghua University

- 2016 Excellent Graduate of Beijing

- 2016 IEEE PES General Meeting Best Conference Paper

- 2015 IEEE Transactions on Smart Grid Best Reviewer Award

- 2015 Academic Rookie of Department of Electrical Engineering in Tsinghua University

- 2015 Best Paper Award of 13th National Doctoral Academic Annual Meeting

- 2015 Outstanding Paper Award of 420th Doctoral Forum of Tsinghua University

- 2017 Win China Postdoctoral Science Foundation (special class, only 8 postdoctoral scholars in the electrical engineering field won this foundation in China in 2017)


Bibliographic Information

  • Book Title: Distributed Transmission-Distribution Coordinated Energy Management Based on Generalized Master-Slave Splitting Theory

  • Authors: Zhengshuo Li

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-981-10-7971-9

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-7970-2Published: 02 February 2018

  • Softcover ISBN: 978-981-13-5687-2Published: 01 February 2019

  • eBook ISBN: 978-981-10-7971-9Published: 24 January 2018

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XIX, 165

  • Number of Illustrations: 50 b/w illustrations

  • Topics: Circuits and Systems, Mathematical and Computational Engineering, Energy Systems, Operations Research/Decision Theory

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