Synergy between photovoltaic power generation and electric vehicle charging in urban energy systems : optimization models for smart charging and vehicle-to-grid

Cities are responsible for around 75% of global primary energy use and 70% of global greenhouse gas (GHG) emissions, with buildings and urban mobility being two key contributors. Actions to reduce GHG emissions have been promoted and implemented in many countries in the world. These include switching to electric vehicles (EVs) and renewable energy sources (RES), such as solar photovoltaics (PV). The transition has led to rapid increase in EV and PV adoption worldwide in the recent decades. However, large-scale integration of EVs and PV in urban energy systems poses new challenges such as increased peak loads, power mismatch, component overloading, and voltage violations. Improved synergy between EVs, PV and other loads can overcome these challenges. Coordinated charging of EVs, or so-called EV smart charging, is potentially a promising solution to improve the synergy. The synergy can be further enhanced with vehicle-to-grid (V2G) schemes, where an EV can not only charge, but also discharge power from its battery. This doctoral thesis investigates the synergy between EV charging and PV power generation with the application of EV smart charging and V2G schemes. The investigation was carried out through simulation studies on the system levels of residential buildings, workplaces, distribution grid, and city-scale. Smart charging and V2G optimization models with an objective to reduce the net-load (load minus generation) variability were developed and simulated.

• Record URL:
  • http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-499947
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789151317878
• Authors:
  • Fachrizal, Reza
• Publication Date: 2023

Language

• English

Media Info

• Pagination: 124
• Serial:
  • Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology
  • Issue Number: 2260
  • Publisher: Uppsala University, Sweden
  • ISSN: 1651-6214

Subject/Index Terms

• TRT Terms: Alternate fuels; Days; Electric vehicle charging; Electricity; Mathematical models; Optimization; Residential areas; Theses; Workplaces
• Uncontrolled Terms: Photoelectricity
• ITRD Terms: 6473: Algorithm; 2417: Alternative energy; 984: Charging (electric vehicle); 9007: Day (24 hour period); 6954: Electricity; 6473: Equation; 6473: Formula (math); 2417: Geothermal energy; 6473: Mathematical model; 6474: Optimisation; 6913: Photovoltaics; 307: Residential area; 2417: Solar energy; 8597: Thesis; 300: Workplace
• Subject Areas: I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01910105
• Record Type: Publication
• Source Agency: Swedish National Road and Transport Research Institute (VTI)
• ISBN: 9789151317878
• Files: ITRD, VTI
• Created Date: Feb 27 2024 2:27PM