About this role
The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.
Key Responsibilities:
• Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
• Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
• Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
• Applications of stochastic programming/approximate dynamic programming approach.
• Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
• Modelling of DER-based integrated grid ancillary services that maintain reliability and stability
Job Requirements:
• Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
• At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
• Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
• Working knowledge in data analysis for clustering and classification
• Ability to work cohesively in an international team to drive the common project objectives.
• Ability to communicate well in English and to present research ideas and findings clearly and concisely
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU