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Power System Operation with Large Scale Stochastic Wind Power Integration

Interval Arithmetic Based Analysis and Optimization Methods

Authors:

  • 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

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xvii
  2. Introduction

    • Tao Ding
    Pages 1-28
  3. Conclusions and Prospects

    • Tao Ding
    Pages 187-190
  4. Back Matter

    Pages 191-217

About this book

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.

Reviews

“Power System Operation with Large Scale Stochastic Wind Power Integration … is very interesting for scientists, researchers (namely in applied mathematics), policy-makers, managers and entrepreneurs owing to the scientifically rigorous and very well sustained way the renewal energies uncertainty problem is approached.” (Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 4 (3), 2018)

Authors and Affiliations

  • Xi’an Jiaotong University , Xi’an, China

    Tao Ding

About the author

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 Chinese)

[27]     Tao Ding, Qinglai Guo, Rui Bo, Hongbin Sun, Wenchuan Wu, Boming Zhang, Zhengyi Yao, “Two-stage Heuristic-correction for Dynamic Reactive Power Optimization Based on Relaxation-MPEC and MIQP,” Proceedings of the CSEE, vol. 34,no. 13, pp. 2100-2107, 2014. (in Chinese)

[28]     Tao Ding, Wei Gu, Qiulan Wan, “Disturbances Identification Based on Minimum Volume Enclosing Ellipsoid Theory and Wide Area Measurement System,” Automation of Electric Power Systems, vol. 37, no. 3, pp. 38-42, 2014. (in Chinese)

[29]     Tao Ding, Qinglai Guo, Hongbin Sun, Rui Bo, Zhengyi Yao, “Power System Economic Dispatch with Prohibited Zones,” Journal of Tsinghua University(Science and Technology), vol. 53, no. 4, pp. 447-452, 2013. (in Chinese)

[30]     Tao Ding, Rui Bo, Qinglai Guo, Hongbin Sun, Wenchuan Wu, Boming Zhang, “A Non-iterative Affine Arithmetic Methodology for Interval Power Flow Analysis of Transmission Network,” Proceedings of the CSEE, vol. 33, no. 19, pp. 76-83, 2013. (in Chinese)

[31]     Tao Ding, Bofeng Dong, Wei Gu, Qiulan Wan, “Optimization of a load shedding scheme using dynamic voltage stability linearized index based on PMU,” Power System Protection and Control, vol. 41, no. 9, pp. 27-33, 2013. (in Chinese)

[32]     Ziqun Yang, Tao Ding, “Unscented Kalman Filter algorithm for on-line identification of parameters of induction motor model,” Power System Protection and Control, vol. 40, no. 24, pp. 84-88, 2012. (in Chinese)

[33]     Tao Ding, Hantao Cui, Wei Gu, Qiulan Wan, “An Uncertainty Power Flow Algorithm Based on Interval and Affine Arithmetic,” Automation of Electric Power Systems, vol. 36, no. 13, pp. 51-55, 2012. (in Chinese)

[34]     Tao Ding, Yu Wang, Wei Gu, Qiulan Wan, “Characteristic attribute selection based on feature score criterion and application in voltage stability analysis,” Electric Power Automation Equipment, vol. 32, no. 10, pp. 132-137, 2012. (in Chinese)

[35]     Qiulan Wan, Tao Ding, Ying Wang, Zhaoxing Ma,“An Algorithm for Online Identification of Nodes with Weak Voltage Stability,” Power System Technology, vol. 36, no. 3, pp. 156-161, 2012. (in Chinese)

[36]     Zhaoxing Ma, Qiulan Wan, Hongmei Li, Tao Ding, “A voltage stability control method of SVC based on neural network,” Power System Protection and Control, vol. 39, no. 18, pp. 67-71, 2011. (in Chinese)

[37]     Zhaoxing Ma, Qiulan Wan, Tao Ding, Hongmei Li, “Voltage Stability Analysis Based on Limit Induced Bifurcation,” Power System Technology, vol. 35, no. 10, pp. 94-98, 2011. (in Chinese)

[38]     Wei Gu, Tao Ding, Ziqun Yang, Qiulan Wan, “Online Voltage Security Assessment Using Multiple Dynamic Decision Tree,” Proceedings of the CSEE, vol. 31, no. 31, pp. 142-148, 2011. (in Chinese)

[39]     Mei Li, Tao Ding, Wei Gu, Qiulan Wan, “Synchronous phasor correction under frequency offset,”Journal of Southeast University(Natural Science Edition), vol. 41, no. 4, pp. 744-749, 2011. (in Chinese)

[40]     Shanke Mou, Tao Ding, Wei Gu, Qiulan Wan, “An improved algorithm for on-line tracking Thevenin equivalent parameters based on deviation correction,” Power System Protection and Control, vol. 39, no. 2, pp. 23-28, 2011. (in Chinese)

[41]     Xian Xu, Tao Ding, Qiulan Wan, “220 kV Power Grid District-dividing Optimization for Limiting Fault Current,” Automation of Electric Power Systems, vol. 33, no. 22, pp. 98-101, 2009. (in Chinese)

[42]     Tao Ding, Qinglai Guo, Hongbin Sun, Fengda Xu, “A quadratic robust optimization model for automatic voltage control of wind farm,” IEEE PES General Meeting, Canada, 21-25 July, 2013.

[43]     Tao Ding, Hongbin Sun, Forrest Harley, et al, “Bi-level linear programming based interval optimization for SCEDin the presence of wind power uncertainty,” IEEE PES General Meeting, July, Washington DC, 2014.

[44]     Tao Ding, Rui Bo, Fangxing Li, Hongbin Sun, “Interval arithmetic based optimal curtailment for infeasibility of SCED in the presence of wind power uncertainty,”, IEEE PES General Meeting, 2015.

[45]     Tao Ding, Kai Sun, Xiubin Zhang, Fangxing Li, Honbing Sun, “Theory Based Splitting Strategies for Power System Islanding Operation,”, IEEE PES General Meeting, 2015.

[46]     Linquan Bai, Tao Ding, Qinran Hu, Fangxing Li, Hongbin Sun, “Robust Mean-Variance Optimization Model for Grid-Connected Microgrids,”, IEEE PES General Meeting, 2015.

Bibliographic Information

  • Book Title: Power System Operation with Large Scale Stochastic Wind Power Integration

  • Book Subtitle: Interval Arithmetic Based Analysis and Optimization Methods

  • Authors: Tao Ding

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-981-10-2561-7

  • Publisher: Springer Singapore

  • eBook Packages: Energy, Energy (R0)

  • Copyright Information: Springer Science+Business Media Singapore 2017

  • Hardcover ISBN: 978-981-10-2560-0Published: 26 September 2016

  • Softcover ISBN: 978-981-10-9651-8Published: 23 June 2018

  • eBook ISBN: 978-981-10-2561-7Published: 17 September 2016

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XVII, 217

  • Number of Illustrations: 6 b/w illustrations, 64 illustrations in colour

  • Topics: Renewable and Green Energy, Energy Systems, Optimization, Energy Policy, Economics and Management

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access