Plexos, Aurora, Pss/E, Ge Pslf, Promod

Songming Zhu, Ph.D.

Email: ********.***@*****.***

Address: *** **** ******, *******, **, 13676

Mobile Phone: 315-***-****

Over 5 years of experience on modeling and optimizing of power market planning and operation, energy management, and power system security. Over 3 years of experience in data analysis and data mining.

Strong mathematic background on linear and nonlinear systems, stochastic process, numerical computation method, and operation research including mixed integer linear programming, mixed integer nonlinear programming, stochastic programming and constraint programming.

Project experience also include PMU placement, state estimation, contingency analysis, power quality, real time simulation and power system simulation.

Education

Clarkson University, Potsdam, NY 01/2014 –12/2018 Ph.D. in Electrical Engineering

DISSERTATION TITLE: Power system operation and monitoring: an optimal power tracing based SCUC model and a joint placement of PMUs and power flow measurements.

University of Newcastle upon Tyne, Newcastle, UK 09/2008 –11/2009 M.Sc. in Renewable Energy

Northumbria University, Newcastle, UK 09/2006 –06/2008 B.Eng. in Electrical & Electronic Engineering (joint program)

Nanjing Institute of Technology, Nanjing, Jiangsu Province, China 09/2004 –06/2006 B.Eng. in Electrical Engineering (joint program)

Work Experiences

Electrical Engineer. NARI Group Co., Nanjing, China 04/2010 –09/2013 Responsibilities: Responsible for power quality test and analysis of interconnected/ stand-alone photovoltaic inverters, performed support for the test of on-site photovoltaic power plants, and drafted Chinese industrial standards with respect to interconnected photovoltaic inverters.

Relevant Research & Project Experiences

Least-cost joint placement of PMUs and flow measurements for ensuring topological observability under N- 2 contingencies while improving state estimation accuracy;

Optimal joint placement of PMUs and flow measurements for ensuring power system observability under N- 2 transmission contingencies;

SCUC-based optimal power tracing approach for scheduling physical bilateral transactions and its verification via an integrated power-money flow analysis;

Energy management and optimization methods for interconnected energy storage systems;

Optimal scheduling of energy storage system using non-linear programming method;

Energy management for distribution networks with energy storage systems Selected Publications

Songming Zhu, Lei Wu and Seyedamirabbas Mousavian, “Least-cost joint placement of PMUs and flow measurements for ensuring topological observability under N-2 contingencies while improving state estimation accuracy.” In Proc. of North American Power Symposium (NAPS), Fargo, North Dakota, Sep. 2018.

Songming Zhu, Lei Wu, Seyedamirabbas Mousavian and Jae Hyung Roh, “An optimal joint placement of PMUs and flow measurements for ensuring power system observability under N-2 transmission contingencies,” International Journal of Electrical Power & Energy Systems, vol. 95, pp. 254-265, Feb. 2018.

Songming Zhu, Lei Wu, Xiaohong Guan and Jiang Wu, “SCUC-based optimal power tracing approach for scheduling physical bilateral transactions and its verification via an integrated power-money flow analysis,” IET Generation, Transmission & Distribution, vol. 10, no. 10, pp. 2399-2409, Jul. 2016. Industrial Standards

Lie Xia, Zhen Li, Zhilei Chen, Xiaodi Qin, Junjun Zhang, Youquan Zhang, Songming Zhu, Jianqiu Wang, Chenhui Niu and Rongrong Ju, “NB/T 32008-2013 Testing code for power quality of inverters used in photovoltaic power station.” Published by National Energy Administration (NEA), China, 2013. (in Chinese)

Xiaodi Qin, Jie Ding, Junjun Zhang, Zhen Li, Zhilei Chen, Wei Wang, Chenhui Niu, Mei Chen, Jianqiu Wang, Hongtao Li, Fei Zheng and Songming Zhu, “NB/T 32006-2013 Testing code for power quality of photovoltaic power station.” Published by National Energy Administration (NEA), China, 2013. (in Chinese) Relevant Coursework

Clarkson University

Market operation of power system Power system reliability Deregulated power systems

University of Newcastle upon Tyne

Photovoltaics & Geothermal Energy Wind and Hydro Energy Technology

Northumbria University & Nanjing Institute of Technology (joint program) Data Communications & Transmission Systems Power Systems Introduction to C++ Principles of Computing

Professional Skills

Programming Languages: Python, SAS, GAMS, MATLAB, Gurobi, C/ C++, Maple, VBA

Software Applications: CYME, UPLAN, PLEXOS, AURORA, PSS/E, GE PSLF, GE Maps, Microsoft Access, SQL, PROMOD, PowerWorld, Microsoft Office Suite, AutoCAD

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