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Power System Operation with Large Scale Stochastic Wind Power Integration Interval Arithmetic Based Analysis and Optimization Methods




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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2016
Edizione: 1st ed. 2017





Trama

This book addresses the uncertainties of wind power modeled as interval numbers and assesses the physical modeling and methods for interval power flow, interval economic dispatch and interval robust economic dispatch. In particular, the optimization models are set up to address these topics and the state-of-the-art methods are employed to efficiently solve the proposed models. Several standard IEEE test systems as well as real-world large-scale Polish power systems have been tested to verify the effectiveness of the proposed models and methods. These methods can be further applied to other research fields that are involved with uncertainty.




Sommario

Introduction.- Mathematics for Interval Algebra and Optimization.- The Research and Application of Interval Power Flow.- Interval Economic Dispatch and The Tackling of Infeasible Model.- Robust Interval Economic Dispatch and The Price of Robustness.- Acceleration Strategies for Large-scale Economic Dispatch Models.- Conclusions and Prospects.




Autore

Research Area:

Power System Operations, Power System Economics, Electricity Market, Optimization Research

 

Honors:

Outstanding Graduate Awards from Southeast University in 2009

College Outstanding Undergraduate Thesis of Southeast University in 2009

Outstanding Student Awards in 2010

College Innovation Awards in 2010

College Outstanding Master Thesis of Southeast University in 2012

National Scholarship Awards in 2014

College Outstanding Doctoral Thesis of Tsinghua University in 2015

Outstanding Graduate Awards from Tsinghua University in 2015

Outstanding Graduate Awards from Beijing City in 2015

 

Publication List:

[1]     Tao Ding, Linquan Bai, Zhaohong Bie, Fangxing Li, “An Adjustable Robust Optimal Power Flow with the Price of Robustness for Large-scale Power Systems” IET Generation, Transmission&Distribution, 2016, in-press.

[2]     Tao Ding, Jiajun Lv, Rui Bo, Zhaohong Bie, Fangxing Li, “Lift-and-Project MVEE Based Convex Hull for Robust SCED with Wind Power Integration Using Historical Data-Driven Modeling,” Renewable Energy, 2016, in-press.

[3]     Tao Ding, Kai Sun, Can Huang, Zhaohong Bie, Fangxing Li, “Mixed Integer Linear Programming-based Splitting Strategies for Power System Islanding Operation Considering Network Connectivity”, IEEE Systems Journal, 2016, in-press.

[4]     Can Huang, Fangxing Li, Tao Ding, Yumin Jiang, Jiahui Guo, Yilu Liu, “A Bounded Model of the Communication Delay for System Integrity Protection Schemes,” IEEE Transactions on Power Delivery, 2016, in-press.

[5]     Tao Ding, Rui Bo, Fangxing Li, Hongbin Sun, “Optimal Power Flow with the Consideration of Flexible Transmission Line Impedance”, IEEE Transactions on Power Systems, 2016, in-press.

[6]     Hu Yuan, Bie Zhaohong, Ding Tao, Yanling Lin, “An NSGA-II based multi-objective optimization for combined gas and electricity network expansion planning”, Applied Energ, in-press, 2016.

[7]     Tao Ding, Shiyu Liu, Wei Yuan, Zhaohong Bie, Bo Zeng, “A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks”, IEEE Transactions on Sustainable Energy, 2016, vol. 7, no. 1, pp. 301-311, 2016.

[8]     Tao Ding, Rui Bo, Qinglai Guo, Hongbin Sun, “A robust two-level coordinated static voltage condition for centralized wind power integration”, IEEE Transactions on Smart Grid, vol. 7, no. 1 pp. 460-470, 2016.

[9]     Tao Ding, Xue Li, Fangxing Li, Hongbin Sun, “Interval radial power flow using extended distflow formulation and Krawczyk iteration method with sparse approximate inverse preconditioner”, IET Generation, Transmission&Distribution, vol. 9., no. 14, pp.1998-2006, 2015.

[10]     Tao Ding, Rui Bo, “Closure to Discussion on ‘Interval Power Flow Analysis Using Linear Relaxation and Optimality-Based Bounds Tightening (OBBT) Methods’”, IEEE Transactions on Power Systems, vol. 30., no. 4, pp. 2203-2203, 2015.

[11]     Can Huang, Fangxing Li, Tao Ding, Zhiqiang Jin, “Second-order Cone Programming Based Optimal Control for Wind Energy Conversion Systems over Complete Operating Regions”, IEEE Transactions on Sustainable Energy, vol. 6., no. 1, pp.263-271, 2015.

[12]     Tao Ding, Rui Bo, Fangxing Li, Hongbin Sun, “A bi-level branch and bound method for economic dispatch with disjoint prohibited zones considering network losses”, IEEE Transactions on Power Systems, vol. 30 No.6. pp.2841-2855, 2015.

[13]     Tao Ding, Rui Bo, Fangxing Li, Qinglai Guo, Hongbin Sun, Wei Gu,Gan  Zhou,“Interval power flow analysis using linear relaxation and optimality-based bounds tightening (OBBT) methods,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 177-188, 2015.

[14]     Tao Ding, Rui Bo, Fangxing Li, Yang Gu, Qinglai Guo, Hongbin Sun. “Exact penalty function based constraint relaxation method for optimal power flow considering wind generation uncertainty,” IEEE Transactions on Power Systems, vol. 30, no. 3, pp. 1546-1547, 2015.

[15]     Tao Ding, Rui Bo, Wei Gu, Hongbin Sun. “Big-M based MIQP method for economic dispatch with disjoint prohibited zones,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 976-977, March 2014.

[16]     Tao Ding, Rui Bo, Wei Gu, Qinglai Guo, Hongbin Sun, “Absolute value constraint based method for interval optimization to SCED model,” IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 980-981, March 2014.

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Altre Informazioni

ISBN:

9789811025600

Condizione: Nuovo
Collana: Springer Theses
Dimensioni: 235 x 155 mm
Formato: Copertina rigida
Illustration Notes:XVII, 217 p. 70 illus., 64 illus. in color.
Pagine Arabe: 217
Pagine Romane: xvii


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