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

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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.


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

Autorentext
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)

    Inhalt
    Backgrounds and Literature Review.- Generalized Transmission-Distribution Coordination Model.- Generalized Master-Slave-Splitting (G-MSS) theory.- Global-Power-Flow-Based Transmission Contingency Analysis.- Distributed Transmission-Distribution Voltage Stability Assessment.- Distributed Transmission-Distribution Coordinated Economic Dispatch.- Distributed Transmission-Distribution Coordinated Optimal Power Flow.- Conclusion and Prospect.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789811079702
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2018
    • Sprache Englisch
    • Anzahl Seiten 188
    • Herausgeber Springer Nature Singapore
    • Größe H241mm x B160mm x T16mm
    • Jahr 2018
    • EAN 9789811079702
    • Format Fester Einband
    • ISBN 9811079706
    • Veröffentlichung 02.02.2018
    • Titel Distributed Transmission-Distribution Coordinated Energy Management Based on Generalized Master-Slave Splitting Theory
    • Autor Zhengshuo Li
    • Untertitel Springer Theses
    • Gewicht 453g

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