Artikel

Enabling E-Mobility: How Electric Grids Can Support High EV Adoption with Residential PV and Battery Energy Storage Systems

Understanding the challenges electrical distribution grids will have to bear in the future is essential to take appropriate measures and ensure electrical grid infrastructure stability. This thesis deploys representative grid models for varying agglomeration scenarios and seasons to investigate the challenges and synergies that arise with high EV penetration rates, PV electricity generation and BESS. The central innovation lies in the developed large-scale model which considers time of year and agglomeration variation, all of which influence household and charging electricity demand, PV generation, as well as PV and EV penetration. Based on a large dataset on German mobility, a Markov chain is developed to sample a trip chain for each individual in the model. Based on the trip chain, EV energy demand and EV charging decisions are simulated. Household loads and PV generation are synthetically modelled to account for external influences. All load and generation profiles then interact with residential BESS and the resulting profile is deployed in three MATLAB MATPOWER grid models. An investigation of power flows showed that transformer thermal limits and feeder line thermal limits are the most critical components. Whilst rural grids are most vulnerable to increased loads through higher EV penetration rates, the mitigation potential with PV electricity generation and BESS is also highest. If every home that has an EV is equipped with a PV-BESS, the grid's capacity for maximum EV penetration increases by up to 50%.

Language
Englisch

Bibliographic citation
Journal: Junior Management Science (JUMS) ; ISSN: 2942-1861 ; Volume: 8 ; Year: 2023 ; Issue: 4 ; Pages: 1040-1080

Classification
Management
Subject
Electric vehicle charging
Photovoltaic systems
Electrical distribution grid
Battery energy storage system
Power flow analysis

Event
Geistige Schöpfung
(who)
Natter, Jan Philipp
Event
Veröffentlichung
(who)
Junior Management Science e. V.
(where)
Planegg
(when)
2023

DOI
doi:10.5282/jums/v8i4pp1040-1080
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Natter, Jan Philipp
  • Junior Management Science e. V.

Time of origin

  • 2023

Other Objects (12)