Home-Microgrids (H-MGs) or smart green buildings are considered as a credible alternative to conventional buildings, as they are very efficient and environmentally friendly. H-MGs having storage devices, smart home appliances, and distributed generations (DGs), such as wind turbines and solar panels, improve dramatically the stability of the electricity markets. One of the most important reasons for utilizing the H-MGs is to help boost the network performance, maximize the use of DGs, and reduce the owners’ costs. The H-MGs’ owners always try to reach more profit or lessen their costs as much as possible. However, the energy management of H-MGs faces serious challenges. For example, when is the best time to use smart home appliances and storage devices to reduce costs? Who is the most profitable buyer/seller to sell/purchase the energy during power surplus/shortages?
This project focuses on proposing an efficient energy management system in the form of incentive demand-side-management (DSM) and demand response schemes. Moreover, due to the presence of rational and smart agents (H-MGs’ owners), the game-theoretic approaches including cooperative and non-cooperative can be applied as a promising solution. In fact, game theory applications would overcome existing challenges. It offers dynamically the best strategy to each agent such as the best time of purchasing and selling energy shortage and surplus, respectively. Therefore, an efficient energy management system leads to reaching an overall equilibrium point (the most profitable situation for H-MGs).
The main objectives of the research are:
1) An efficient energy management system according to day ahead and long-term scheduling to maximize the use of renewable resources and minimize the H-MGs costs.
2) Introducing the incentive mechanisms in order to maximize the participation of H-MGs in demand response schemes.
3) Reaching the collective utilities for stakeholders (H-MGs, network operator, retailers, and etc), and thereby achieving the overall network equilibrium.
This project is supervised by Dr. Mousa Marzband.
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 https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/
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. SF19/EE/MPEE/MARZBAND) will not be considered.
Start Date: 1 March 2020 or 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 and is a member of the Euraxess network, which delivers information and support to professional researchers.
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, 2019
2. 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, 2019.
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.
4. 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.
5. 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.
6. 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, 13(12), 2572 – 2583, 2019.
7. Mohammad Amin Mirzaei, Ahmad Sadeghi Yazdankhah, Behnam Mohammadi-Ivatloo, Mousa Marzband, Miadreza Shafie-khah, João PS Catalão, Stochastic network-constrained co-optimization of energy and reserve products in renewable energy integrated power and gas networks with energy storage system, Journal of Cleaner Production, 223, 747-758, 2019.
8. Houman Jamshidi Monfared, Ahmad Ghasemi, Abdolah Loni, Mousa Marzband, A hybrid price-based demand response program for the residential micro-grid, Energy, 185, 274-285, 2019
9. Golara Ghasemi, Younes Noorollahi, Hamed Alavi, Mousa Marzband, Mahmoud Shahbazi, Theoretical and technical potential evaluation of solar power generation in Iran, Renewable energy, 138, 1250-1261, 2019.
10. Shotorbani, A. M., Mohammadi-Ivatloo, B., Wang, L., Marzband, M., Sabahi, M., Application of finite-time control Lyapunov function in low-power PMSG wind energy conversion systems for sensorless MPPT