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smart grid PhD Projects, Programs & Scholarships

We have 18 smart grid PhD Projects, Programs & Scholarships

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  Advanced Data Analytics for Condition Assessment of Smart Grid Power Electronic Systems
  Dr A Aboushady, Dr G Morison
Applications accepted all year round

Funding Type

PhD Type

SCEBE-20-011-AASF. Power converters are becoming an integral part of future smart grids. These provide a necessary interface between the source of power available and the load/network by conditioning the energy flow to meet pre-defined system specs and/or grid code requirements.
  Nonlinear control of grid-tied inverters for stabilising future smart grids
  Dr G Konstantopoulos
Applications accepted all year round

Funding Type

PhD Type

Power systems stability has been an active area of research for many decades. However, recently, the large number of renewable energy sources being integrated to the power network has started to significantly affect the stable and reliable operation of the grid.
  Cyber Security in Future Power Systems
  Dr J Ahmad, Prof B Buchanan
Applications accepted all year round

Funding Type

PhD Type

With the increase interest in renewable power generation, the demand for a smart and. intelligent power system is increasing. This has led to the use of digital communication.
  AI-based Multi-objective Decision Making for Efficient Energy Management of Smart Grids
  Dr S Jiang, Prof S Kollias, Prof C Bingham
Application Deadline: 14 June 2020

Funding Type

PhD Type

This project will focus on efficient AI-based energy management of smart grids to reduce energy costs and lower carbon footprint.
  Probabilistic stability analysis and optimisation for smart power systems using stochastic distribution shaping
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Future power systems will be significantly different from their present states. The main factor we have to consider is the uncertainties.
  Smart and holistic district level energy management systems underpinned with blockchain, optimisation, federative cloud and artificial intelligence, Engineering – PhD (Funded)
  Dr B Yuce, Dr D Zhu
Application Deadline: 15 June 2020

Funding Type

PhD Type

Location. Engineering Department, in the College of Engineering, Mathematics and Physical Sciences at Streatham Campus in Exeter.
  Study a Funded PhD at Nottingham

Funding Type

PhD Type

With access to world-class facilities and having the opportunity to work alongside leading scholars, Nottingham is the perfect place to study your postgraduate research degree.
  Machine Learning Approaches for Optimising Battery Operations in Smart Grids
  Dr S Azad
Applications accepted all year round

Funding Type

PhD Type

The project will investigate various machine learning approaches to optimise battery operations in the smart grid. Battery storage plays a vital role in smoothing out the fluctuations in energy demand and generation from distributed renewable sources.
  Smart Energy Infrastructure for Future Power Networks PhD
  Dr X Zhang, Prof W Guo
Application Deadline: 1 August 2020

Funding Type

PhD Type

Applications are invited for a fully-funded PhD studentship to cover tuition fees* plus stipend of £18,000 per year for three years, to be undertaken in the Centre of Energy Systems and Strategy at Cranfield University, in the field of power and energy systems.
  Distributed artificial intelligence for Internet of things (Application Ref: SF19/EE/CIS/JIN)
  Dr N Jin, Dr X Dai
Applications accepted all year round

Funding Type

PhD Type

Internet of things (IoT) has been transforming many industrial sectors and our daily life, for example digital manufacturing, smart grid and digital living.
  Grid-edge energy flow management in dynamic system charging models
  Dr I Pisica, Dr G Taylor
Applications accepted all year round

Funding Type

PhD Type

Grid-edge balancing services will be required to manage the flexibility issues in future power grids. In this mindset, the supply and demand are matched locally.
  Smart bidirectional wireless power transfer for EV applications (ZLUF2019)
  Dr Z Lin, Dr A Cross
Application Deadline: 30 June 2020

Funding Type

PhD Type

Electric vehicles (EV) has been recognised as a low-emission transportation solution and a potential energy storage solution.
  PhD in Wide-Bandgap-Enabled Power Electronics for Smart Grids and Electric Vehicles
  Dr S Jahdi
Applications accepted all year round

Funding Type

PhD Type

Help tackle the big issues in global warming by enhancing green energy generation and consumption through next-gen power electronic solutions.
  Cooperative and Autonomous Control of Smart Microgrid
  Dr L Jiang, Prof C-C Chu
Applications accepted all year round

Funding Type

PhD Type

This project is part of a 4-year Dual PhD degree programme between the National Tsing Hua University (Taiwan) and the University of Liverpool (England).
  Intelligent coordination of end-users energy demand for the sustainable next-generation energy network
  Dr M Abbod
Applications accepted all year round

Funding Type

PhD Type

As part of energy demand and sustainability of future energy grid, energy generation, transmission and distribution; a more systematic and proactive approach for the next-generation electric grid is necessary to be smart, environmental friendly and sustainable enough to cope with the explosive growth in the energy demand globally.
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