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A Game-Theoretic Energy Management for Home Micro-grids (GTEM4HM) Considering Renewable Resources and Electrical Vehicles (Advert Reference: RDF20/EE/MPEE/MARZBAND)

  • Full or part time
  • Application Deadline
    Friday, January 24, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

National Grid’s broad intentions (2015-2025) state that the whole value of environmental costs and benefits by the optimal use of renewable resources and electric vehicles (EVs) through appropriate solutions and sustainable materials should be considered. On the other hand, the considerable growth of the electricity markets, renewable resources, EVs and charging stations have led to increasing the number of Home Micro-grids (H-MGs)/smart green buildings and consumers. Decision-making wise, the emerging challenges indicate that there is no applicable strategy for efficient scheduling of H-MGs’ appliances, EVs, and renewable energy resources. To this end, it’s imperative not only to enhance energy efficiency but also to modify the consumption patterns of H-MGs and consumers through optimal energy management techniques. It worth mentioning that the owners of H-MGs and EVs are considered as the rational agents, which always choose to perform the action with the optimal expected result. In this proposal, a Game Theoretic Energy Management (GTEM) is proposed focusing on (i) Energy consumption regulation for consumers and H-MGs’ appliances through non-cooperative games, (ii) Demand-side Management (DSM) and demand response schemes with storage devices considering the integration of renewable resources, as well as EVs’ charging scheduling using stochastic and auction games. In fact, the key aim of applying the game theory applications is to achieve the most profitable action for all stakeholders including H-MGs’ owners, EVs’ drivers, consumers, and system operator. Ultimately, it leads to reaching the overall stability and equilibrium of network.

The main objectives of this research project are to:

1) Empower efficient management of the power supply and demand
2) Minimizing the H-MGs’ costs and greenhouse gases emissions
3) Supporting the network during the peak times
4) Expand the use of renewable energy resources and EVs
5) Facilitate the exchanges between EVs with energy providers
6) Make electricity network more reliable and stable

The principal supervisor for this project is Dr Mousa Marzband. The second supervisor is Dr Milutin Jovanovic.

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.
• Applicants cannot apply for this funding if currently engaged in Doctoral study at Northumbria or elsewhere.

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. RDF20/EE/MPEE/MARZBAND will not be considered.

Deadline for applications: Friday 24 January 2020

Start Date: 1 October 2020

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 holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality.

Funding Notes

The studentship is available to Home/EU/Worldwide students where a full stipend, paid for three years at RCUK rates (for 2019/20, this is £15,009 pa) and full fees.


1. Ridoy Das, Yue Wang, Ghanim Putrus, Richard Kotter, Mousa Marzband, Bert Herteleer, Jos Warmerdam, Multi-objective techno-economic-environmental optimisation of electric vehicle for energy services, Applied Energy, Volume 257, 2020 (IF: 8.558).
2. Hamid Reza Gholinejad, Abdolah Loni, Jafar Adabi, Mousa Marzband, A hierarchical energy management system for multiple home energy hubs in neighborhood grids, Journal of Building Engineering, Volume 28, 2020 (IF: 2.378).
3. Vahid Aryanpur, Mohammad Saeid Atabaki, Mousa Marzband, Pierluigi Siano, Kiarash Ghayoumi, An overview of energy planning in Iran and transition pathways towards sustainable electricity supply sector, Renewable and Sustainable Energy Reviews, 112, 58-74, 2019 (IF: 10.556).
4. Nastaran Gholizadeh, Gevork B Gharehpetian, M Abedi, Hamed Nafisi, Mousa Marzband, An innovative energy management framework for cooperative operation management of electricity and natural gas demands, Energy Conversion and Management, vol. 200, pp. 112-121, 2019 (IF: 7.181).
5. Mohammad Amin Mirzaei, Ahmad Sadeghi-Yazdankhah, Behnam Mohammadi-Ivatloo, Mousa Marzband, Miadreza Shafie-khah, João PS Catalão, Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products, Energy, vol. 189, pp. 116-195, 2019 (IF: 5.537)
6. Morteza Nazari-Heris, Mohammad Amin Mirzaei, Behnam Mohammadi-Ivatloo, Mousa Marzband, Somayeh Asadi, Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads, Journal of Cleaner Production, pp. 118-138, 2019 (IF: 6.395)
7. Golara Ghasemi, Younes Noorollahi, Hamed Alavi, Mousa Marzband, Mahmoud Shahbazi, Theoretical and technical potential evaluation of solar power generation in Iran, Renewable energy, vol. 138, pp. 1250-1261, 2019 (IF: 5.439)
8. Mahdi Pourakbari-Kasmaei, Matti Lehtonen, Mahmud Fotuhi-Firuzabad, Mousa Marzband, José Roberto Sanches Mantovani, Optimal power flow problem considering multiple-fuel options and disjoint operating zones: A solver-friendly MINLP model, International Journal of Electrical Power & Energy Systems, 113, 45-55, 2019 (IF: 4.418).
9. Ameena Saad Al-Sumaiti, Magdy Salama, Mohamed El-Moursi, Tareefa S Alsumaiti, Mousa Marzband, Enabling electricity access: revisiting load models for AC-grid operation-part I, IET Generation, Transmission & Distribution, 13(12), 2563 – 2571, 2019 (IF: 3.229).
10. Ameena Saad Al-Sumaiti, Magdy Salama, Mohamed El-Moursi, Tareefa S Alsumaiti, Mousa Marzband, Enabling electricity access: a comprehensive energy efficient approach mitigating climate/weather variability–Part II, IET Generation, Transmission & Distribution, 2019 (IF: 3.229)

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