Personal   information

Name

Mostafa Kheshti

Gender

Male

Date   of Birth

1987

Hometown

Iran

Professional   title

Associate Professor

Position

Telephone

Email

kheshti@sdu.edu.cn

Research Direction

Low inertia systems, Renewable energy integrated power grid   control and optimization using computational intelligence methods

Publications

Selected   publications:

Edited/Authored   Books

·        M.   Nayeripour, M. Kheshti, E. Waffenschmidt, “Smart Microgrids” INTECH   Publications, Croatia, July 11, 2018, ISBN: 978-1-78923-459-6

·        M.   Nayeripour, M. Kheshti, “Renewable Energy-Trends and Applications”   INTECH Publications, Croatia, 2011, ISBN: 978-953-307-939-4

·        M.   Nayeripour, M. Kheshti, “Sustainable   Growth and Applications in Renewable Energy Sources” INTECH   Publications, Croatia,  2011, ISBN: 978-953-307-408-5

·        M.   Nayeripour, M. Kheshti “Electric Machinery” Shiraz University   Publications, 2011, ISBN: 964-8823-04-9 (in Farsi)

Book chapters

·        M.   Kheshti,   L. Ding “Particle Swarm Optimization Solution for Power System Operation   Problems”  (Book chapter) in “Particle Swarm Optimization and   Applications” INTECH Publications, Croatia, 2018, ISBN: 978-953-51-5852-3

Selected   journal papers

·        M.   Kheshti,   L. Ding, W. Bao, M. Yin, Q. Wu, V. Terzija, “Toward Intelligent Inertial   Frequency Participation of Wind Farms for the Grid Frequency Control” IEEE   Transactions on Industrial Informatics, 2019

·        M.   Kheshti,   L. Ding, M. Nayeripour, X. Wang, V. Terzija, “Active Power Support of Wind   Turbines for Grid Frequency Events Using a Reliable Power Reference Scheme”   vol. 139, pp. 1241-1254, Renewable Energy, 2019

·        X.   Li, L. Ding, G. Zhu, M. Kheshti, “Transient Instability Detection   Method Based on Multi-source Trajectory Information” International Journal   of Electrical Power and Energy Systems, vol. 113, pp.897-905, 2019

·        X.   Wang, J. Gao, X. Wei, G. Song, L, Wu, J. Liu, Z. Zeng, M. Kheshti,   “High Impedance Fault Detection Method Based on Variational Mode Decomposition   and Teager-Kaiser Energy Operators for Distribution Network” IEEE   Transactions on Smart Grid, 2019

·        X.   Wang, G. Song, J. Gao, X. Wei, Y. Wei, M. Kheshti, Z. Hu, Z. Zhang,   “High Impedance Fault Detection Method Based on Improved Complete Ensemble   Empirical Mode Decomposition for DC distribution network” Int. J. Elect.   Power Energy Sys., vol. 107, pp. 538-556, May 2019

·        M.   Kheshti,   L. Ding, SC. Ma, Z. Bing, “Double weighted particle swarm optimization to   non-convex wind penetrated emission/economic dispatch and multiple fuel   option systems” Renewable Energy, vol. 125, pp. 1021-1037, 2018

·        M.   Kheshti,   X. Kang, J. Li, P. Regulski, V. Terzija, “Lightning Flash Algorithm for   solving nonconvex combined emission economic dispatch with generator   constraints” IET Generation Transmission & Distribution, vol. 12,   no. 1, pp. 104-116, 2018

·        M.   Kheshti,   X.Kang, “Optimal Overcurrent Relay Coordination in Distribution Network Based   on Lightning Flash Algorithm” Engineering Computations, vol. 35, no.   3, 2018

·        B.   S. Tekpeti, X. Kang, M. Kheshti, “Modeling and Fault Analysis of Solar   Photovoltaic-Grid Connected Systems Under Solar Radiation Fluctuation   Consideration” International Transactions on Electrical Energy systems,   2018

·        M.   Kheshti,   X. Kang, Zh. H. Bie, Z. Jiao, X. Wang, “An effective Lightning Flash   Algorithm solution to large scale non-convex economic dispatch with   valve-point and multiple fuel options on generation units” Energy,   vol. 129, pp. 1-15, 2017

·        G.   Song, Ch. Wang, T. Wang, M. Kheshti, X. Kang “A Phase Selection Method   for Wind Power Integration System Using Phase Voltage Waveform Correlation” IEEE   Transactions on Power Delivery, vol. 32, no. 2, pp. 740-748, 2017

·        M.   Kheshti,   X. Kang, Z. Jiao, “An innovative fast coordination   method to bypass the time consumption of optimization algorithms in relay   protection coordination” Journal of Electrical Engineering and   Technology, vol. 12, no. 2, pp. 612-620, 2017

·        M.   Kheshti,   X. Kang, Y. Jiarula “Smooth integration of Gansu wind farm into the grid   using the stator flux oriented vector method and fuzzy logic control” Arabian   Journal for Science and Engineering, vol. 42, no. 12, pp. 5059-5069, 2017

·        M.   Kheshti,   X. Kang, G. Song, Z. Jiao “Modeling and Fault Analysis of Doubly Fed   Induction Generators for Gansu Wind Farm Application” Canadian Journal of   Electrical and Computer Engineering, vol. 38, no. 1, pp. 52-64, 2015

·        X.   Kang, Carl E. K. Nuworklo, B. S. Tekpeti, M. Kheshti, “Protection of   Micro-grid Systems: A Comprehensive Survey” IET: The Journal of   Engineering, 2017

·        A.   Zare, M. Nayeripour, X. Kang, M. Kheshti, T. Niknam “Fuzzy Controller   Design of TCSC with ANFIS to Improve the Dynamic Stability of Power System” IACSIT   International Journal of Engineering and Technology, Vol. 4, No. 3, June   2012

·        M.   Kheshti,   M. Nayeripour, M. D. Majidpour “Fuzzy Dispatching of Solar Energy in   Distribution System” Applied Solar Energy, Vol. 47, No. 2, pp.   105-111, 2011

·        M.   Kheshti,   M. Nayeripour, A. Zare “A Novel Method to Control Volt/Var in the Grids via   Fuzzy Controller” Australian Journal of Basic and Applied Sciences,   vol. 4, no. 12, pp. 6031- 6040, 2010

Undergoing   Research Products

·        Principal Investigator of “Optimum Frequency Participation of   Wind Farms Using Artificial Intelligence” project from National Natural   Science Foundation of China, since Jan 2019 (grant number 5181101255)

·        Principal Investigator of “Intelligent control of wind farms for   grid frequency stability” China Postdoctoral Science Foundation, 2019-2020.

·        Participant in: “Project of Science and Technology of State   Grids Corporation of China: Research on Coordinated Frequency Control for   Power Grid with High Penetration of Renewable Energy”, Jan 2019-Dec 2020.

Academic   Types

Teaching and Research

Teaching courses: Engineering Mathematics, Renewable   Energy Technology , Professional English to graduate students