

Beschreibung
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...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.
Nominated as an outstanding Ph.D. thesis by Tsinghua University Develops a new kind of operation and analysis for power systems to address the uncertainties of renewable energy Proposes new methods for solving right-hand side interval linear/nonlinear equations and optimization that can be applied to the research focusing on the interval analysis Describes robust optimization methods for finding a robust optimal scheduling that is immune to the uncertainties for industrial engineering Studies various new optimization algorithms that can be used for solving large-scale optimization problems and improve the computational efficiency Includes supplementary material: sn.pub/extras
Autorentext
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.
[17] Tao Ding, Qinglai Guo, Rui Bo, Hongbin Sun, and Boming Zhang, A Static Voltage Security Region for Centralized Wind Power Integration Part I: Concept and Method, Energies, vol. 7, no. 1, pp. 420-443, 2014.
[18] Tao Ding, Qinglai Guo, Rui Bo, Hongbin Sun, and Boming Zhang, A Static Voltage Security Region for Centralized Wind Power Integration Part II: Applications, Energies, vol. 7, no. 1, pp. 444-461, 2014.
[19] Wei Gu, Lizi Luo, Tao Ding, Xiaoli Meng; Wanxing Sheng, An affine arithmetic-based algorithm for radial distribution system power flow with uncertainties, International Journal of Electrical Power & Energy Systems, vol. 58, pp. 242-245, 2014. [20] Tao Ding, Rui Bo, Hongbin Sun, Can Huang, Fangxing Li, Robust Mean-Variance Optimization for Self-scheduling of Thermal Producer and Its Price of Robustness, Proceedings of the CSEE, vol. 35, no. 2, pp. 319-326, 2015. (in Chinese) [21] Tao Ding, Rui Bo, Zhengyi Yao, Hongbin Sun, Real-time Economic Dispatch Model With Prohibited Zones Considering Maximum Wind Power Injection, Proceedings of the CSEE, vol. 35, no. 4, pp. 759-765, 2015. (in Chinese)
[22] Tao Ding, Rui Bo, Qinglai Guo, Hongbin Sun, Can Huang, Fangxing Li, Identification of Inactive Constraints for SCED Model Considering Uncertain Power Injection, Proceedings of the CSEE, vol. 34, no. 34, pp. 6050-6057, 2014. (in Chinese)
[23] Tao Ding, Qinglai Guo, Rui Bo, Wei Gu, Hongbin Sun, Boming Zhang, Solving of Interval DC Power Flow Using Interval Hull Algorithm with Preconditioning, Automation of Electric Power Systems, vol. 38, no. 3, pp. 130-136, 2014. (in Chinese) [24] Fengda Xu, Qinglai Guo, Hongbin Sun, Boming Zhang, Bin Wang, Zhengsuo Li, Tao Ding, Analysisand Simulation Research on Cascading Trips of Multiple Wind Farms, Power System Technology, vol. 38, no. 6, pp. 1426-1431, 2014. (in Chinese) [25] Tao Ding, Qinglai Guo, Hongbin Sun, Fengda Xu, A Voltage Control Strategy for Preventing Cascading Trips of Large-scale Wind Power in Centralized Area, Automation of Electric Power Systems, vol. 38, no. 11, pp. 7-12, 2014. (in Chinese)
[26] Tao Ding, Qinglai Guo, Rui Bo, Liping Zhang, Hongbin Sun, Wenchuan Wu, Boming Zhang, Interval Economic Dispatch Model with Uncertain Wind Power Injection and Spatial Branch and Bound Method, Proceedings of the CSEE, vol. 34, no. 22, pp. 3707-3714, 2014. (in …
