The rapid pace of capacity addition in renewable energy, particularly new wind and solar projects, has overwhelmed grid operators in many parts of the United States. The connection process involves informational externalities, because one plant asking to connect to the grid may make it harder for another plant to get information about the cost of connecting itself. This project will examine how the rules for connecting to the electric grid affect such externalities and ultimately the addition of new renewable energy capacity. The goal is to provide policy guidance on how renewable resources like wind and solar can be rapidly and efficiently plugged in.
Requisite skills and qualifications:
Python, statistical programming in R, Stata or Matlab a strong plus. Eye for detail.