ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on a specific area of the energy value chain and a number of Living labs and Testbeds which facilitate large-scale technology deployment enabling validation and demonstration of real-world applications. As a Research Engineer II at ERI@N, you will be at the forefront of our microgrid technology and clean energy solution development efforts, responsible for designing, testing, power and energy management systems.
Key Responsibilities:
Core expertise: Power system planning, analysing impact of renewable energy and storage on electrical distribution systems, optimization under uncertainty, and flexibility planning using distributed energy resources (DERs).
Design & develop optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS), photovoltaic generations (PV), electric vehicle charging stations (EVCS), flexible building loads, in view of the advanced utility grid operations, ancillary services, and the changes in distribution network.
Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs, and applications of stochastic programming/approximate dynamic programming approach.
Implementation of distribution power-flow methods for DER-rich networks and practical modelling of flexibility of the DER assets and the network, considering the operating envelopes and probabilistic power-flows.
Modelling of DER-based integrated grid ancillary services that maintain reliability and stability (e.g., voltage/power management, fast demand response, peak demand management, network restoration service, and electric vehicles-based services (V2G/G2V)).
Constrained optimization problem formulations & solution techniques: convex optimization, dynamic programming, NLP, MILP and MINLP.
Decomposition and relaxation techniques to tackle computational problems in distribution grid planning.
Engage the industry research collaborator in the guided development of the flexibility planning and contract configuration.
Conduct hardware-in-the-loop (HIL) simulations using OPAL-RT/RTDS solutions.
Job Requirements:
Masters/Ph.D. degree in Electrical/Computer Engineering, specialized in Power Systems/Renewable Energy Planning/Optimization
Expertise in medium and low voltage network modelling, power-flow, and large-scale optimization
Solid knowledge of smartgrid automation systems, grid services, DER management and operational methodologies.
Expertise in data analysis for clustering and classification
Knowledge in visualization tools for data presentation
Knowledge in Mathematical programming languages and solvers (e.g., YALMIP, CVX, CPLEX, GAMS)
Knowledge in computer programming language such as Python, C/C++ and MATLAB
Communication skills in English, and the ability to present clearly and concisely - essential for data analysis and communication with stakeholders
Ability to work in an international environment, engage collaborators and transfer knowledge
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU