Impacts of Forecasting Errors in Centralized and Decentralized Electricity Markets
2020 (engelsk)Inngår i: International Conference on the European Energy Market, EEM, IEEE Computer Society , 2020, artikkel-id 9221973Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
A decentralization of electricity markets, with an introduction of smaller local marketplaces, is sometimes suggested as a suitable development when a growing share electricity generation comes from distributed sources. This paper presents a stylized model for comparing market outcomes between a decentralized and a centralized market structure, focusing on the effect that forecasting errors have on market outcomes. Using Monte Carlo simulations, it is shown that forecasting errors propagate into somewhat larger scheduling errors under a decentralized market structure.
sted, utgiver, år, opplag, sider
IEEE Computer Society , 2020. artikkel-id 9221973
Emneord [en]
Errors, Monte Carlo methods, Power markets, Centralized market, Decentralized electricity, Distributed sources, Electricity generation, Forecasting error, Market outcomes, Market structures, Forecasting
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-50979DOI: 10.1109/EEM49802.2020.9221973Scopus ID: 2-s2.0-85094820681ISBN: 9781728169194 (tryckt)OAI: oai:DiVA.org:ri-50979DiVA, id: diva2:1509547
Konferanse
17th International Conference on the European Energy Market, EEM 2020, 16 September 2020 through 18 September 2020
Merknad
Funding text 1: ACKNOWLEDGMENT The authors would like to acknowledge the financial support for this work from the ERA-Net Smart Grid Plus project m2M-GRID, http://m2m-grid.eu/.
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