Democratizing electricity distribution network analysis

Author:

Neaimeh Myriam,Deakin MatthewORCID,Jenkinson Ryan,Giles Oscar

Abstract

Abstract The uptake of electric vehicles (EVs) and renewable energy technologies is changing the magnitude, variability, and direction of power flows in electricity networks. To ensure a successful transition to a net zero energy system, it will be necessary for a wide range of stakeholders to understand the impacts of these changing flows on networks. However, there is a gap between those with the data and capabilities to understand electricity networks, such as network operators, and those working on adjacent parts of the energy transition jigsaw, such as electricity suppliers and EV charging infrastructure operators. This paper describes the electric vehicle network analysis tool (EVENT), developed to help make network analysis accessible to a wider range of stakeholders in the energy ecosystem who might not have the bandwidth to curate and integrate disparate datasets and carry out electricity network simulations. EVENT analyses the potential impacts of low-carbon technologies on congestion in electricity networks, helping to inform the design of products and services. To demonstrate EVENT’s potential, we use an extensive smart meter dataset provided by an energy supplier to assess the impacts of electricity smart tariffs on networks. Results suggest both network operators and energy suppliers will have to work much more closely together to ensure that the flexibility of customers to support the energy system can be maximized, while respecting safety and security constraints within networks. EVENT’s modular and open-source approach enables integration of new methods and data, future-proofing the tool for long-term impact.

Funder

UK Research and Innovation

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Computer Science Applications,General Engineering,Statistics and Probability

Reference52 articles.

1. A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

2. OFGEM (2022b) The Common Information Model (CIM) regulatory approach and the Long Term Development Statement [WWW Document]. Ofgem. Available at https://www.ofgem.gov.uk/publications/common-information-model-cim-regulatory-approach-and-long-term-development-statement (accessed 10 February 2022).

3. Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity;Deakin;Applied Energy,2021a

4. Experiences developing large-scale synthetic U.S.-style distribution test systems

5. ENA (2021) New digital energy system map shows the power & potential of energy digitalisation [WWW Document]. Energy Netw. Assoc. Available at https://www.energynetworks.org/newsroom/new-digital-energy-system-map-shows-the-power-potential-of-energy-digitalisation (accessed 25 March 2022).

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