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to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries that actively support the power grid to facilitate the deep integration of intermittent renewable
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of an optimisation-based simulator to assess how grid-edge devices contribute to power grid flexibility. You will use advanced modelling and simulation tools such as PandaPower and OpenDSS to evaluate the impact of
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/stochastic optimization, control systems, transportation systems, power systems, electricity markets, or closely related areas Established publication record A PhD in a relevant field (or near completion
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on an academic research project funded by BCA. The project is in collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration
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strong programming skills, experience in software architectures, distributed systems, and data analysis, as well as prior involvement in projects related to energy systems, sustainability, smart grids
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collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
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; Publish journal papers; Work on other duties as assigned. Qualifications Candidates are expected to have a PhD in power systems with expertise in power systems analysis and optimization, artificial