NANYANG TECHNOLOGICAL UNIVERSITY

Research Fellow, Energy Research Institute

Location
Singapore
Posted
29 May 2020
End of advertisement period
28 Jun 2020
Ref
R00000360
Contract Type
Permanent
Hours
Full Time

The Energy Research Institute @ NTU invites applicants for the position of Research Fellow

  • Core expertise: Power System Analysis, Renewable Energy Management & Control Systems, Optimization under Uncertainty
  • Design & develop optimization algorithms/tools to build an application platform at grid enterprise level that can aggregate, optimize & manage the Distributed Energy Resources in view of the advanced utility grid operations, ancillary services & intelligent distribution network
  • Capturing all the system- and device-level operational constraints, uncertainties in the optimization-based decision- making process through stochastic optimization formulation/approximate dynamic programming approach
  • Power system analysis, Energy Management Systems, Model Predictive Control
  • Optimization problem formulation & solution techniques: LP, NLP, MILP, MINLP, Heuristics, Dynamic Programming
  • Optimization under uncertainty (e.g., robust/stochastic approach-based DER network optimization)
  • Distributed energy resources modeling/management & integrated grid ancillary services devoted to time-critical grid operations to maintain reliability and stability (e.g., voltage/power management, fast demand response, contingency reserve, peak demand management, regulation service (voltage/frequency), battery storage energy arbitrage, and electric vehicles (V2G/G2V))
  • Decomposition techniques to tackle real-time control & computational problems in distribution grid management

Job Requirements:

  • PhD Degree in Electrical/Computer Engineering. Specialized in Power Systems/Renewable Energy Management/Optimization/Control Systems
  • Min. Years of Experience : 2 to 5 years
  • Proficiency:
    • Solvers (e.g., GLPSOL, CPLEX, and GUROBI)
    • Mathematical programming languages (e.g., GLPK, AMPL, GAMS and YALMIP)
    • Power system simulation/modeling tools (e.g., PSCAD and MATLAB /Simulink SimPowerSystems toolbox)

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