School of Engineering
Mr Charalampos Ioannou
- Qualifications: BEng (Hons), MIET
- Role Title: Research Student
- Address: Anglesea Building, Anglesea Road, Portsmouth PO1 3DJ UK
- Telephone: +44 (0)77 4355 5961
- Email: firstname.lastname@example.org
- Department: School of Engineering
- Faculty: Faculty of Technology
I completed my undergraduate studies in Electrical and Electronic Engineering at the University of Hertfordshire, UK, in 2015.
Between 2015 and 2016, I was employed as an Electrical Engineer at Conspel Qatar W.L.L (part of the A&P group of companies). Conspel Qatar is a Mechanical, Electrical and Plumbing (MEP) Contractor specializing in construction. I was assigned to Doha Oasis Mixed Used Development Project which is considered to be one of the biggest projects of it's kind in Qatar, with a budget more than $480 million for MEP installations alone. Expected to be completed in 2019, the Doha Oasis is located in the centre of Doha and comprises a 4 storey underground car park, a 30 storey 7 star hotel, a 3 storey shopping mall, 245 luxury residential units, and one of the largest indoor theme parks in the world.
During my undergraduate studies my final year project explored Solar Panel Emulators for Smart Grids. While conductiong my research, I became increasingly interested in Renewable Energy, Power Systems and Smart Grids. I joined the School of Engineering at the University of Portsmouth in 2016 to undertake a PhD on the response of Next Generation Active Network Management for Smart Grids.
The Smart Grid represents a vision for the digital upgrade of electrical power systems. The deployment of Smart Grid concepts into existing power systems has lead to optimized grid operations, enhanced grid security and new markets for the utilization of sustainable energy.
This drive has increased demand for renewable generation connections at the distribution network level and for distribution network operators to consider more proactive approaches to the operation of networks.
In the UK, this is reflected in the development of Active Network Management approaches, which use communications equipment and centralized control systems to limit power generation for short periods, when output exceeds the operating limits of the network.
For my PhD, I am researching the optimization of next generation Active Network Management schemes including inter-temporal technologies. My focus is on the development of Dynamic Optimal Power Flow algorithms for the management of energy storage, flexible demand, and economic dispatch, with consideration of dynamic transmission line rating and of uncertainty in solar, wind and demand forecasts.
My research is supervised by Professor Victor Becerra and Dr Mohamed Al-Mosawi (School of Engineering).