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An Empirical Analysis of the Interconnection Queue

Sarah Johnston, Yifei Liu and Chenyu Yang

No 31946, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Generators applying to connect to the U.S. power grid go through an interconnection queue. Most wind and solar generators that begin the process do not complete it. Using new data, we find that a long queue increases the average waiting time, and high interconnection costs are a key factor in a generator’s decision to withdraw. We develop and estimate a dynamic model of the queue and quantify the effects of policy reforms. Our simulations indicate that reducing waiting times can significantly increase completions. An alternative queuing mechanism can therefore increase completed capacity by removing certain generators to reduce congestion. A flat entry fee has a similar effect. We also quantify the effects of reforming how interconnection costs are assessed. These policy reforms lead to a substantial reduction in carbon emissions.

JEL-codes: D02 L0 Q00 (search for similar items in EconPapers)
Date: 2023-12
New Economics Papers: this item is included in nep-ene and nep-reg
Note: EEE IO
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