1.

Record Nr.

UNINA9910299900003321

Autore

Li

Titolo

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

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-10-7971-4

Edizione

[1版. 2018.]

Descrizione fisica

1 online resource (XIX, 165 p. 50 illus.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Altri autori (Persone)

Zhengshuo

Disciplina

621.395

Soggetti

Electronic circuits

Applied mathematics

Engineering mathematics

Energy systems

Operations research

Decision making

Circuits and Systems

Mathematical and Computational Engineering

Energy Systems

Operations Research/Decision Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.