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Achieving an optimal trade-off between power system stability/hosting capacity and energy peak by implementing demand side management in home microgrids (H-MG)s in the neighbourhood systems (Advert Reference: SF18/MPEE/MARZBAND)

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

I am recruiting some PhD students for a project regarding the optimal planning and operation of so many H-MGs in the neighbourhood system (with up to a few thousand customers) with the aim of hosting capacity and voltage stability improvement in the network. The project aims to study and plan the power system in a smaller community having some hybrid renewable-based distributed energy resources (DER)s and energy storage (ES). The main purpose of the project is to use a combination of solutions to maximize the hosting capacity of networks having renewable-based DERs and EV devices. Within the work, methods shall be developed for dimensioning and planning of H-MGs in real case studies. Transferring theoretical knowledge including optimization techniques to practical applications in real grids is an important part of this project. This will largely be done by applying theoretical models based on mathematical formulation to the power system in an existing smaller and big community.

Please note eligibility requirement:

* Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
* Appropriate IELTS score, if required

For further details of how to apply, entry requirements and the application form, see

Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. SF18/MPEE/MARZBAND) will not be considered.

Start Date: 1 March 2019 or 1 June 2019 or 1 October 2019

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University hold an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.

Funding Notes

This is an unfunded research project


1- A Two Stage Hierarchical Control Approach for the Optimal Energy Management in Commercial Building Microgrids Based on Local Wind Power and PEVs, Sustainable Cities and Society, 2018
2- Smart Transactive Energy Framework in Grid-connected Multiple Home Microgrids under Independent and Coalition Operations, Renewable Energy, 2018
3- CVaR-based energy management scheme for optimal resilience and operational cost in commercial building microgrids, International Journal of Electrical Power \& Energy Systems, 2018
4- An Advance Retail Electricity Market for Active Distribution Systems and home Microgrid Interoperability Based on Game Theory, Electric Power Systems Research, 2018
5- Framework for Smart Transactive Energy in Home-Microgrids Considering Coalition Formation and Demand Side Management, Sustainable Cities and Society, 2018
6- Reconsidering insulation coordination and simulation under the effect of pollution due to climate change, International Transactions on Electrical Energy Systems, 2018
7- Generation Expansion Planning in Electricity Market Considering Uncertainty in Load Demand and Presence of Strategic GENCOs, Electric Power Systems Research, 2017
8- A Real-Time Evaluation of Energy Management Systems for Smart Hybrid Microgrids, Electric Power Systems Research, 2017
9- Optimal energy management system based on deterministic approach for a home Microgrid with responsive load demand and energy storage, Sustainable Cities and Society, 2017
10- Distributed generation for economic benefit maximization through coalition formation based on Game Theory, International Transactions on Electrical Energy Systems, 2017

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