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Reference Number EP/T021985/1
Title Sustainable urban power supply through intelligent control and enhanced restoration of AC/DC networks
Status Started
Energy Categories ENERGY EFFICIENCY(Transport) 5%;
OTHER POWER and STORAGE TECHNOLOGIES(Electric power conversion) 20%;
OTHER POWER and STORAGE TECHNOLOGIES(Electricity transmission and distribution) 75%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 10%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 80%;
ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 10%;
UKERC Cross Cutting Characterisation Not Cross-cutting 80%;
Systems Analysis related to energy R&D (Energy modelling) 20%;
Principal Investigator Dr J Liang
No email address given
Engineering
Cardiff University
Award Type Standard
Funding Source EPSRC
Start Date 01 April 2020
End Date 31 March 2023
Duration 36 months
Total Grant Value £604,562
Industrial Sectors Energy; Transport Systems and Vehicles
Region Wales
Programme Energy : Energy
 
Investigators Principal Investigator Dr J Liang , Engineering, Cardiff University (99.996%)
  Other Investigator Dr L M Cipcigan , Engineering, Cardiff University (0.001%)
Dr W Ming , Engineering, Cardiff University (0.001%)
Professor O Rana , Computer Science, Cardiff University (0.001%)
Professor R Ranjan , Sch of Computin, Newcastle University (0.001%)
  Industrial Collaborator Project Contact , Turbopowersystems (0.000%)
Project Contact , Newcastle City Council (0.000%)
Project Contact , SP Energy Networks (0.000%)
Project Contact , Exergy Devices Limited (0.000%)
Project Contact , Smarter Grid Solutions (0.000%)
Project Contact , Zero Carbon Futures (0.000%)
Project Contact , NR Electric UK Limited (0.000%)
Project Contact , Plexus Innovation Ltd (0.000%)
Web Site
Objectives
Abstract China remains the world's largest electric car market, and the UK is leading deployment of electric vehicles (EVs) to meet the new net-zero 2050 emission target. Both nations will face challenges in connecting EVs in urban areas due to limited land space, constraints on carrying additional power over traditional transmission lines and challenges in providing reliable power to critical load centres. This proposal identifies areas of common technical challenges and lays out a joint programme to analyse the issues and assess possible solutions.Urban areas are the significant location of critical loads such as hospitals, airports, public transport network and data centres. Fully exploiting the potential transfer capacity and resilience of the urban electricity network with a minimum capital investment is important to citizens and governments as 60% of Chinese population and 83% of UK population live in urban areas. To release the capacity of existing AC lines and to increase the reliability, a combined AC/DC configuration is proposed, and contribution of power electronic materials and converters are considered. Coordinated control of EVs, hybrid AC/DC networks and dispersed generation are investigated to optimise transfer capacity and enhance fault-tolerant operation with the support of Internet-of-Things (IoT) tools to enable an efficient decision-making.Two specific aspects will be investigated: the ability of IoT based data-driven modelling method to enable response services by coordinating dispersed resources in an urban power network and the headroom provided by power converters to accommodate this service. The contribution of IoT in providing useful data that enable the efficient management of urban power network is an emerging paradigm for the realisation of smart cities. As an essential part of daily life, optimal utilisation and reliability of electric energy becomes paramount. However, blackouts affecting the security and stability of the power system is an important issue. EVs storage capacity and optimal scheduling through power converters will be explored and quantified to provide grid support services in the event of an emergency situation. Protection schemes that can achieve fast and reliable identification and isolation with the aids of IoT, EVs and power converters are analysed in detail and re-engineering solutions proposed.Technical challenges from widespread use of dispersed resources connected to urban energy networks will be studied. Data-driven modelling will be applied to urban power systems to characterise the capacity of EVs and distributed generations that will allow two-way communication that transforms conventional networks into more secure networks. Traditional network topologies with the inclusion of power converters will be reassessed to eliminate potentially wasteful energy conversion stages and support flexibility services. Coordinated control of converters and distributed resources with spatial-temporary coupling and edge-cloud collaboration will be developed to make cost-effective, sustainable, resilient and fault-tolerant urban power system operation.The key outputs will be the data-driven modelling and analysis methods that can assess the spatial-temporary relation between distributed resources and urban electricity network (useful to system operators and equipment vendors); engineering solutions to map the capability of vehicle to grid services; optimal scheduling using power converters in the event of an emergency situation (useful to system operators, equipment vendors and EV owners); and verification through real-time simulation and scaled laboratory test systems.The main work programme will be conducted through international partnership with 1 China research institute, 2 China universities and 2 UK universities. Researchers involved in the project will benefit from the unique international collaboration and training.
Publications (none)
Final Report (none)
Added to Database 15/11/21