Stochastic Dynamics of Power Systems -  Ping Ju

Stochastic Dynamics of Power Systems (eBook)

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2018 | 1st ed. 2019
X, 231 Seiten
Springer Singapore (Verlag)
978-981-13-1816-0 (ISBN)
Systemvoraussetzungen
139,09 inkl. MwSt
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This book discusses stochastic dynamics of power systems and the related analytical methodology. It summarizes and categorizes the stochastic elements of power systems and develops a framework for research on stochastic dynamics of power systems. It also establishes a research model for stochastic dynamics of power systems and theoretically proves stochastic stability in power systems. Further, in addition to demonstrating the stochastic oscillation mechanism in power systems, it also proposes methods for quantitative analysis and stochastic optimum control in the field of stochastic dynamic security in power systems. This book is a valuable resource for researchers, scholars and engineers in the field of electrics.



Ping Ju is a scholar at the German Humboldt University and has been awarded the People's Republic of China's prize for outstanding young scientists. He received his bachelor's degree from Southeast University in July 1982 and his master's degree in May 1985, both in Electric Systems and Automation. In June 1988, Ping Ju obtained his doctor's degree in Electric Systems and Automation from Zhejiang University. Afterwards, he became a lecturer at Hohai University. Currently, Ping Ju has the following titles and positions: Professor and Vice President of Hohai University, tutor of doctoral candidates, Director of the Chinese Society for Electrical Engineering, Executive Vice President of the Electrical Engineering Technical Society of Jiangsu Province, Vice Director of the Electrical Engineering Technical Society of Jiangsu Province, member or vice chairman of editorial boards of various magazine at home and abroad, IET Fellow, senior member of IEEE and CSEE.

Mr. Ju has pursued research on power system modeling for a many years, established the basic theory of power system modeling, built the basic technology of power system modeling and solved major issues in power system modeling. Furthermore, as project principle, he has undertaken several projects including the project of Chinese NSFDYS, major projects and key projects of the National Natural Science Foundation of China and the national 973 project. He has published 5 monographs, 2 textbooks and more than 200 SCI and EI papers. In addition, he has received awarded the National Teaching Achievements Award, and six provincial and ministerial level scientific and technological progress awards as well as the 'National Achievement Award of Returned Overseas Chinese Talents'. He has made an outstanding contribution to the Chinese doctorate degree.


This book discusses stochastic dynamics of power systems and the related analytical methodology. It summarizes and categorizes the stochastic elements of power systems and develops a framework for research on stochastic dynamics of power systems. It also establishes a research model for stochastic dynamics of power systems and theoretically proves stochastic stability in power systems. Further, in addition to demonstrating the stochastic oscillation mechanism in power systems, it also proposes methods for quantitative analysis and stochastic optimum control in the field of stochastic dynamic security in power systems. This book is a valuable resource for researchers, scholars and engineers in the field of electrics.

Ping Ju is a scholar at the German Humboldt University and has been awarded the People’s Republic of China’s prize for outstanding young scientists. He received his bachelor’s degree from Southeast University in July 1982 and his master’s degree in May 1985, both in Electric Systems and Automation. In June 1988, Ping Ju obtained his doctor’s degree in Electric Systems and Automation from Zhejiang University. Afterwards, he became a lecturer at Hohai University. Currently, Ping Ju has the following titles and positions: Professor and Vice President of Hohai University, tutor of doctoral candidates, Director of the Chinese Society for Electrical Engineering, Executive Vice President of the Electrical Engineering Technical Society of Jiangsu Province, Vice Director of the Electrical Engineering Technical Society of Jiangsu Province, member or vice chairman of editorial boards of various magazine at home and abroad, IET Fellow, senior member of IEEE and CSEE.Mr. Ju has pursued research on power system modeling for a many years, established the basic theory of power system modeling, built the basic technology of power system modeling and solved major issues in power system modeling. Furthermore, as project principle, he has undertaken several projects including the project of Chinese NSFDYS, major projects and key projects of the National Natural Science Foundation of China and the national 973 project. He has published 5 monographs, 2 textbooks and more than 200 SCI and EI papers. In addition, he has received awarded the National Teaching Achievements Award, and six provincial and ministerial level scientific and technological progress awards as well as the “National Achievement Award of Returned Overseas Chinese Talents”. He has made an outstanding contribution to the Chinese doctorate degree.

Introduction.- Introduction to Stochastic Dynamics.- Stochastic Model and Computation of Power Systems.- Analysis of Stochastic Stability of Power Systems.- Analysis of Stochastic Dynamic Oscillation of Power Systems.- Stochastic Dynamic Security Analysis of Power Systems.- Stochastic Optimum Control of Power Systems.

Erscheint lt. Verlag 23.8.2018
Reihe/Serie Power Systems
Zusatzinfo X, 231 p. 97 illus., 37 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Naturwissenschaften
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Stochastic Dynamic Oscillation • Stochastic Dynamics • Stochastic Dynamic Security • Stochastic Dynamics Model • Stochastic Optimum Control
ISBN-10 981-13-1816-6 / 9811318166
ISBN-13 978-981-13-1816-0 / 9789811318160
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