Trial analysis and Publications gather pace

26th January, 2015

The University of Manchester is providing independent network modelling and analysis of data provided as part of the My Electric Avenue technical and social trials.

Dr Jairo Quirós-Tortós, Post-Doctoral Research Associate and Dr Luis (Nando) Ochoa, Senior Lecturer in Smart Distribution Networks at the School of Electrical and Electronic Engineering at The University of Manchester are working with EA Technology on the My Electric Avenue project. Over the last year they have developed nine simulated networks representing those where our technical trial ‘clusters’ are located, using information provided by Project Partners Scottish and Southern Energy Power Distribution and Northern Powergrid.

These simulated networks have been built to echo ‘real-word’ scenarios on real UK networks. As such, they allow for a degree of variability in the characteristics of the networks. In real networks, characteristics such as current and voltage all fluctuate over time. The simulated models are stochastic – this means they allow some characteristics to vary, as they would do in reality.

For example, it’s unlikely that you put the kettle on at exactly the same time each and every day. As such the currents and voltages which change in line with the appliances you’re using (and your neighbours) will also vary.

Dr Quirós-Tortós and Dr Ochoa have begun to add EVs into the simulated models, analysing the probabilistic impact of uncontrolled electric vehicle charging. Their full paper has been submitted to CIRED for the 23rd International Conference on Electricity Distribution, in Lyon, in June 2015.

The researchers from Manchester have also developed a control logic to prevent any excess in the capacity of the cables and transformer (see an example in the figure). This work will be presented in February 2015 at the Innovative Smart Grid Technologies conference that will be held in Washington. Further improvements have been made in the control logic, and a control algorithm that prevents problems in the network was submitted late in November 2014 in the form of a journal to the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Power Systems.

Further analysis has also been conducted on charging behaviour, using the vehicle telematics data provided by Nissan CARWINGS. A statistical analysis has been conducted of both technical and social trial participants’ charging data, in particular the number of charges per day. This type of analysis has previously been excluded from similar EV charging analysis. The results have been submitted in the form of a journal to the IEEE Power & Energy (PES) Letters.

In the coming months, The University of Manchester will simulate Esprit control being applied to EVs in their models, and independently verify its potential impact in different scenarios, and by extrapolation, UK networks.

Dr Luis (Nando) Ochoa, Senior Lecturer in Smart Distribution Networks of the School of Electrical and Electronic Engineering at The University of Manchester, says: “We’re now at a really exciting time in the project, we have access to unique data generated by electric vehicle users on real UK networks. We’re looking ahead to verifying the impact of Esprit on the ‘cluster’ networks and beyond. This marks a significant starting point in understanding the impact of control technology like Esprit on future EV drivers not only in the UK but around the world.”

The My Electric Avenue Project was delivered between January 2013 and December 2015 by EA Technology on behalf of Scottish and Southern Energy Networks (SSEN) as part of the Low Carbon Networks (LCN) Fund suite of innovation projects. As the Project is now complete, this webpage will no longer be updated, however you can learn more about the work undertaken by EA Technology at and SSEN at

For details of My Electric Avenue's legacy iniatives, visit the webpages for the Smart EV Project and the EV Network Group

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