Skip to Content
Skip to main content
What do you want to do?
Foundation Undergraduate Postgraduate International
}
Find your course
}
Campus life Study support Student Services Professional Development Centre
}
Research Research degrees
}
Global Engagement
}
Business services
}
News and Events
Brunel Alumni Giving back to Brunel Contact us
}
About Colleges
}
e

Dr Ioana Pisica
Reader in Power Systems

Research area(s)

In the recent years Ioana has been actively researching modern optimization techniques for power systems with distributed generation and FACTS devices, machine learning for power systems control, power quality and smart metering. Ioana was also involved in agent based modelling, smart metering communications and analysis of large amounts of data from smart meters as part of the EPSRC ADEPT project in collaboration with the University of Oxford. She was PI on a UK-Turkey project on smart distribution systems and Co-I on several transmission and distribution research projects.

Her current research interests focus on smart grids, power system analysis and control, dynamic electricity tariffs, netowrk and demand flexibility and ICT infrastructures for future power networks.

Research grants and projects

Grants

Implementing digitalization to improve energy efficiency and renewable energy deployment in Turkish distribution networks
Funder: British Council
Duration: February 2021 - February 2023

The aim of this project is to increase welfare of low-income population in Southeast Turkey by achieving savings in the distribution network that serves them. This will come from digitalizing the energy systems and decreasing power losses. It will allow more renewable energy installations, leading to long term economic benefits.

Research and development of reliable ICT infrastructures for innovative smart grid functionalities
Funder: Brunel University London - BRIEF AWARDS
Duration: May 2015 - September 2016
Optimising the use and production of electrical energy within the water industry through improved utilisation of process control and automation
Funder: Thames Water
Duration: November 2014 -

Currently Thames Water reports an approximate renewable energy capability of 156GWh, utilising 151GWh of this energy by feeding it back into the processes associated with water treatment. The remaining 5GWh is exported to the national grid which alleviates demands from other users. Renewables play a key role in achieving a more attractive energy model within the utilities, however, there will require a revised approach to the way in which the existing assets utilise this energy. The answer is not simply just to generate more, by using ‘greener’ methods, there must be an emphasis on how the existing demand can better controlled. Successful investments in energy reduction methods will reduce risk of exposure to volatile power prices and potentially return large savings by responding to markets as effective virtual electrical generators. This proposal will explore the potential of optimising the existing asset base within a UK water utility. It will set out to utilise the existing assets in a more intelligent and controlled manor and optimise the use of energy both for environmental and economic benefits.

Project details

Dr Pisica was Co-I of the Horizon 2020 project TDX-ASSIST: Coordination of Transmission and Distribution data eXchanges for renewables integration in the European marketplace through Advanced, Scalable and Secure ICT Systems and Tools as Co-Investigator

Research links

Co-author network

Similar research interests

Research group(s)

  • IEF