Increasing or Diversifying Risk? Tail Correlations, Transmission Flows and Prices across Wind Power Areas

Johannes Mauritzen and Genaro Sucarrat

The Energy Journal, 2022, vol. Volume 43, issue Number 3

Abstract: As wind power costs have declined, capacity has grown quickly, often times in adjacent areas. Price and volatility risk from wind power's intermittency can be mitigated through geographic diversification and transmission. But wind power generation has a fat-tailed and right-skewed distribution. In this article we investigate how geographic diversification of wind power and the effect of wind power on market prices varies across the distribution of production. In a case study from Denmark and Sweden, we show that during tail-end production periods, correlations between areas increase substantially as does congestion in the transmission network. This leads to highly non-linear price effects. The marginal effect of wind power on the local prices is shown to be substantially higher at the 10th decile of wind power production. This has implications for valuation models of wind power projects and for operations of electricity markets with high penetrations of wind power.

JEL-codes: C22 Q40 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=3829 (text/html)
Access to full text is restricted to IAEE members and subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aen:journl:ej43-3-mauritzen

Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx

Access Statistics for this article

More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().