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Intelligent coordination of end-users energy demand for the sustainable next-generation energy network (FULLY FUNDED)

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  • Full or part time
    Dr Parisio
  • Application Deadline
    Applications accepted all year round

Project Description

The next-generation electric grid needs to be smart and sustainable to deal with the explosive growth of global energy demand and achieve environmental goals. Demand side management appears to play a relevant role in accomplishing these targets by supporting penetration of renewable and efficient network operation.

Novel advanced and systematic management frameworks are required to optimally coordinate all the energy assets in future energy grids and match supply to demand by making use of real-time information. The project will focus on the design of these frameworks; developed algorithms must be scalable and deployable at a huge distributed scale supported by local decisions and global coordination.

Year 1:
Taught courses and preparatory study

Year 2:
• Analysis and mathematical modelling of end-users energy behaviour with their distributed decision making, attitudes, preferences and dynamical aspects.
• Dynamic market mechanisms (e.g., day-ahead and real-time markets) and the underlying forecast models of renewables are to be studied as well in order to reflect the inherent dynamics present in demand-side entities.
• Collaboration with energy companies is expected.

Year 3:
• Analysis and modelling of sources of uncertainties (e.g., energy behaviour, forecasting errors).
• Design of flexible distributed architectures able to modify the network topology when needed; the coordinator will include multi-objective criteria (load shaping, economic costs, comfort, and imbalances minimization).

Year 4:
• Integration of plug-and-play capabilities into the developed framework, i.e. capability of seamlessly handling units that enter or leave the system.
• Implementation of the novel management framework and evaluation of the effective energy savings and the impact on the occupants’ satisfaction.

Keywords: Smart grid, Demand response, Energy management systems

Funding Notes

This project is funded by EPSRC, the University of Manchester and our Industry partners. Funding is available to UK candidates. EU candidates are also eligible if they have been studying or working continuously in the UK for three or more years (prior to the start date of the programme). The successful candidates will have their fees paid in full and will receive an enhanced maintenance stipend.

See here for information on how to apply and entry requirements: http://www.power-networks-cdt.manchester.ac.uk/study/projects-apply/

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