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

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

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2018 | 1st ed. 2018
XIX, 165 Seiten
Springer Singapore (Verlag)
978-981-10-7971-9 (ISBN)
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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.



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)


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.

Li ZhengshuoProfessional 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 BeijingHonors 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)

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.

Erscheint lt. Verlag 24.1.2018
Reihe/Serie Springer Theses
Zusatzinfo XIX, 165 p. 50 illus.
Verlagsort Singapore
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Technik Elektrotechnik / Energietechnik
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte active distribution system • distributed algorithms • Energy Management • renewable energy • Transmission System
ISBN-10 981-10-7971-4 / 9811079714
ISBN-13 978-981-10-7971-9 / 9789811079719
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