Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption

Abstract Electric vehicles will contribute to emissions reductions in the United States, but their charging may challenge electricity grid operations. We present a data-driven, realistic model of charging demand that captures the diverse charging behaviours of future adopters in the US Western Interconnection. We study charging control and infrastructure build-out as critical factors shaping charging load and evaluate grid impact under rapid electric vehicle adoption with a detailed economic dispatch model of 2035 generation. We find that peak net electricity demand increases by up to 25% with forecast adoption and by 50% in a stress test with full electrification. Locally optimized controls and high home…

• NS
  National Science Foundation

  Awards: CAREER 1554178, 1554178, CAREER
• UD
  U.S. Department of Energy

  Awards: 76SF00515, DE-AC02, AC02-76SF00515, DE-AC02-
• CE
  California Energy Commission

  Award: EPC-17-020
• SU
  Stanford University
• SP
  Stanford Precourt Institute for Energy
• SN
  SLAC National Accelerator Laboratory

  Awards: AC02-76SF00515, DE-AC02-76SF00515