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A tool proposal to detect operating anomalies in the Spanish wholesale electricity market

dc.contributor.authorRomán-Collado R.
dc.contributor.authorCansino J.M.
dc.contributor.authorColinet M.J.
dc.contributor.authorDugo V.
dc.date.accessioned2020-09-02T22:27:28Z
dc.date.available2020-09-02T22:27:28Z
dc.date.issued2020
dc.identifier10.1016/j.enpol.2020.111478
dc.identifier.citation142, , -
dc.identifier.issn03014215
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6078
dc.descriptionThe Spanish wholesale electricity market remains controversial due to the suspicion of there being collusive behaviour, as the main generation companies still share 55% of the wholesale market. Up to 2018, the Spanish National Competition Authority had to investigate all the complaints received, contributing to discouraging collusive behaviours in the electricity market but also employing a significant amount of resources. Since 2018, the ECN + Directive has given more independence to the National Competition Authorities of EU Member States and has allowed them to reject the complaints that are not considered a priority and choose the most relevant ones. This paper provides a tool that makes the supervision of the wholesale electricity market easier and enables a better use of resources. The tool is tested for a timespan including the same month (December) from 2012 to 2017. The period selected starts once non-conventional renewable technologies began to operate and lasts until the ECN + Directive came into force. In the first two steps, the tool allows a screening of the timespan, looking for possible anomaly periods based on the variance values of the daily electricity cost and the average monthly value. Secondly, the third tool step presents a methodology based on a spatial LMDI-I decomposition analysis. This approach allows analysing the key driver effects that explain the differences between the daily cost of electricity of some technologies and the monthly average of those periods pointed out in the two previous steps. To ensure robustness, the same approach has been tested on control periods prior to and after the anomaly month. © 2020 Elsevier Ltd
dc.language.isoen
dc.publisherElsevier Ltd
dc.subjectElectricity wholesale market
dc.subjectLMDI-I
dc.subjectNational competition authority
dc.subjectPool price
dc.subjectSpatial decomposition
dc.subjectCosts
dc.subjectElectric industry
dc.subjectCost of electricity
dc.subjectDecomposition analysis
dc.subjectElectricity costs
dc.subjectGeneration companies
dc.subjectNational competition authorities
dc.subjectRenewable technology
dc.subjectWholesale electricity markets
dc.subjectWholesale markets
dc.subjectPower markets
dc.subjectanomaly
dc.subjectcompetition (economics)
dc.subjectdecomposition analysis
dc.subjectdetection method
dc.subjectelectricity industry
dc.subjectenergy market
dc.subjectenergy resource
dc.subjectEuropean Union
dc.subjecttechnology adoption
dc.subjectSpain
dc.titleA tool proposal to detect operating anomalies in the Spanish wholesale electricity market
dc.typeArticle


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