Analytics and Optimization for Renewable Energy Integration

Ning Zhang

ISBN 10: 103240163X / ISBN 13: 9781032401638

Verlag: Taylor & Francis Ltd, 2022

2022. 1st Edition. Paperback. . . . . . Bestandsnummer des Verkäufers V9781032401638

Inhaltsangabe:

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Über die Autorin bzw. den Autor:

Ning Zhang got B.Sc. degree of electrical engineering and Excellent Graduate Student Award from Tsinghua University, Beijing, China in 2007. He got his Ph.D of electrical engineering, Excellent Doctoral Thesis Award and Excellent Graduate Student Award from Tsinghua University in 2012. He completed his two-year research as a post doctor and was assigned to work in Tsinghua University in 2014. He was a research associate in The University of Manchester from Oct. 2010 to Jul. 2011 and a research assistant in Harvard University from Dec. 2013 to Mar 2014. His research interests include power system planning, multiple energy system integration, wind power photovoltaic, concentrated solar power. He has led more than 10 scientific research projects including National Natural Science Foundation of China, National Key Research and Development Program of China (sub-task), The State Key Laboratories Development Program of China, and several projects from industry. He was awarded Young Elite Scientists Sponsorship Program by Chinese Association of Science and Technology in 2016. He was awarded The Twelfth Tsinghua University-Yokoyama Ryoji Outstanding Paper Award, one hundred most influential papers and top articles in outstanding S&T journal of China in 2012. He serves as the editor of International Transactions on Electrical Energy Systems (ITEES), CSEE Journal of Power and Energy Systems (CSEE JPES) and the Editorial Board Member of Protection and Control of Modern Power Systems (PCMP). He also severs as guest editor of IEEE Transactions on power system and Proceedings of CSEE. He is the peer reviewer of more than 10 international journals including IEEE TPWRS, IEEE TSTE, IEEE TSG, IEEE TEC, IEEE PESL, IET RPG, IET GTD. He is also the peer reviewer of Proceedings of the CSEE, Automation of Electric Power Systems, Power System Technology, Electric Power Construction and Southern Power System Technology.

Bibliografische Details

Titel: Analytics and Optimization for Renewable ...
Verlag: Taylor & Francis Ltd
Erscheinungsdatum: 2022
Einband: Softcover
Zustand: New
Auflage: 1. Auflage