Springer Power System Operation with Large Scale Stochastic Wind Power Integration: Interval Arithmetic Based Analysis and Optimization Methods (Springer Theses)

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. Review “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) From the Back Cover 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. 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 2010College 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,