R&D Nester project "FEVER - Analysis on the distribution side planning of distributed EVCS, RES and BESS" aims to study the direct impact and the associated challenges that distribution grids are facing with the integration of EVs and EV Charging Stations (EVCS). The research topics include an analysis on the EV infrastructure development, integrating both distributed renewable energy resources and battery energy storage systems (BESS), from the distribution network perspective.  

This project is developed by R&D Nester in cooperation with China Electric Power Research Institute (CEPRI).

This project already developed a methodology for the determination of the location and dimensioning for a cluster containing Electric Vehicle Charging Stations (EVCS), Renewable Energy Sources (RES) and Battery Energy Storage System (BESS). The methodology aims to optimize system security from the network operator's point of view, while also considering potential location preferences from the EVCS promoter. The siting process is carried out using a Nodal Load Allocation algorithm, which iteratively increases the load at each candidate bus to obtain the maximum admissible load. The BESS is dimensioned using the Evolutionary Particle Swarm Optimization (EPSO) method.

As a result of this work, R&D Nester Team produced a paper titled "Perspectives on Electric Vehicle Charging Station Planning in Distribution Networks: Promoter vs Network Operator", focused on the analysis of both perspectives with relation to the planning of EVCS in distribution grids.

In this paper the methodology and the tools were tested using PandaPower and the simulation of IEEE 30 Bus system integrated with a dataset based on public real data from the Portuguese DSO network comprising part of Lisbon's MV network. The proposed methodology provides an effective tool for the problem associated with the determination of the location and dimensioning aggregated clusters of EVCS, RES and BESS, which can help network operators and promoters to mitigate network stress while maximizing local renewable energy integration.

This paper was presented at ICPE 2023 - The 4th International Conference on Power Engineering last December, in Macau, China.

During the presentation of the paper in the on-line session, R&D NESTER was awarded with the best presentation of the session.

This conference is sponsored by IEEE, Macau University of Science and Technology, University of Electronic Science and Technology of China, Science and Engineering Institute, and IEEE Macau. As a core area of modern science, it finds applications in diverse fields, such as environmental, energy, aerospace, industrial, and transportation. The proceedings are available in IEEE Xplore, Scopus, EI Compendex and SCI.

For more information:

FEVER Project @ R&D Nester website

ICPE 2023 (ICPE 2023 (ICPE Conference website)