Driving Integration

The report argues that the rapid growth of electric vehicles (EVs) requires a shift in regulatory paradigms to ensure that new loads benefit rather than impair the electricity grid. It emphasizes the role of state utility regulators in designing smart charging policies, rate structures, and infrastructure ownership models. Through case studies of California and Washington, the document illustrates different approaches to EV deployment and integration, highlighting the need for adaptive regulation, such as scalable pilots and scenario-based distribution planning, to manage the unpredictable nature of EV adoption.

• Unmanaged electric vehicle (EV) charging poses risks to the electricity grid, including increased peak capacity needs, distribution infrastructure overload that shortens component life, and the potential for costly investments in underutilized infrastructure due to unpredictable charging behavior.
• EVs can serve as a grid asset through 'smart charging,' which allows them to act as demand response resources, help integrate renewable energy, and provide ancillary services such as frequency regulation and voltage regulation.
• Time-of-use (TOU) rates have proven effective in shifting EV charging from peak evening hours to off-peak periods, as demonstrated by a California Public Utilities Commission study.
• Utility ownership of EV charging infrastructure may be justified if it provides net benefits to ratepayers or serves market segments that competitive markets are unlikely to address, such as workplaces or multi-unit dwellings.
• California and Washington represent divergent regulatory approaches: California focuses on both deployment and grid integration with a heavy emphasis on TOU rates, while Washington has primarily focused on deployment and carbon mitigation, utilizing flat rates to establish a charging baseline.
• To enable EVs to provide grid services, regulators must define the 'resource'—whether it is the individual vehicle, a charging station with a submeter, or the primary facility meter—to determine ownership, measurement, and communication protocols.
• Traditional static distribution planning is insufficient for EV growth; regulators should move toward scenario-based, probabilistic forecasting that includes a wide range of EV adoption patterns.
• The report recommends the use of scalable demonstration projects and pilots to test integration approaches iteratively, ensuring that larger future investments do not negatively impact ratepayers.

APA

Gold, R., & Goldenberg, C. (2016). Driving Integration. RMI. https://rmi.org/app/uploads/2017/04/eLab_driving_integration.pdf

Chicago

Gold, Rachel, and Cara Goldenberg. Driving Integration. RMI, 2016. https://rmi.org/app/uploads/2017/04/eLab_driving_integration.pdf.

Wikipedia

{{cite report |last1=Gold |first1=Rachel |last2=Goldenberg |first2=Cara |title=Driving Integration |publisher=RMI |date=October 2016 |url=https://rmi.org/app/uploads/2017/04/eLab_driving_integration.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{gold2016driving, author = {Gold, Rachel and Goldenberg, Cara}, title = {{Driving Integration}}, institution = {RMI}, year = {2016}, month = oct, url = {https://rmi.org/app/uploads/2017/04/eLab_driving_integration.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }