The arithmetic of stepwise offer curves. (15th January 2022)
- Record Type:
- Journal Article
- Title:
- The arithmetic of stepwise offer curves. (15th January 2022)
- Main Title:
- The arithmetic of stepwise offer curves
- Authors:
- Mestre, Guillermo
Sánchez-Úbeda, Eugenio F.
Muñoz San Roque, Antonio
Alonso, Estrella - Abstract:
- Abstract: In liberalized electricity markets, aggregated stepwise supply and demand curves are at the core of many relevant processes. Efficient and meaningful representations of the offer curves is an essential procedure for agents participating in those markets. However, there is not a formal framework that allows operating with those offer curves using basic arithmetic operations. In this paper we first formalize the concept of stepwise offer curve by explicitly defining the standard True Offer Curve (TOC). To overcome the inherit difficulties of this non-continuous TOC, we propose the Encoded Offer Curve (EOC), a continuous piecewise version that approximates the steps of the TOC with high accuracy. We present fast and simple specialized algorithms to obtain both TOC and EOC models, as well as a formal framework to deal with elementary mathematical operations involving TOCs and EOCs. The proposed framework has been tested in the Italian electricity market, computing the residual demand curves of the producers in a particular Market Zone; and in the Iberian electricity market, quantifying the differences in the bidding behavior of market agents in different stages of the COVID-19 pandemic. Highlights: Formal framework to perform mathematical operations on stepwise offer curves. Efficient algorithms for compact representation of aggregated bidding curves. Efficient algorithms for performing arithmetic operations between offer curves. Fast calculation of residual demandAbstract: In liberalized electricity markets, aggregated stepwise supply and demand curves are at the core of many relevant processes. Efficient and meaningful representations of the offer curves is an essential procedure for agents participating in those markets. However, there is not a formal framework that allows operating with those offer curves using basic arithmetic operations. In this paper we first formalize the concept of stepwise offer curve by explicitly defining the standard True Offer Curve (TOC). To overcome the inherit difficulties of this non-continuous TOC, we propose the Encoded Offer Curve (EOC), a continuous piecewise version that approximates the steps of the TOC with high accuracy. We present fast and simple specialized algorithms to obtain both TOC and EOC models, as well as a formal framework to deal with elementary mathematical operations involving TOCs and EOCs. The proposed framework has been tested in the Italian electricity market, computing the residual demand curves of the producers in a particular Market Zone; and in the Iberian electricity market, quantifying the differences in the bidding behavior of market agents in different stages of the COVID-19 pandemic. Highlights: Formal framework to perform mathematical operations on stepwise offer curves. Efficient algorithms for compact representation of aggregated bidding curves. Efficient algorithms for performing arithmetic operations between offer curves. Fast calculation of residual demand curves, applied to Italian day-ahead market. Analysis of COVID-19 impact in the offer curves in the Iberian day-ahead market. … (more)
- Is Part Of:
- Energy. Volume 239:Part E(2022)
- Journal:
- Energy
- Issue:
- Volume 239:Part E(2022)
- Issue Display:
- Volume 239, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 239
- Issue:
- 5
- Issue Sort Value:
- 2022-0239-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01-15
- Subjects:
- Electricity markets -- Piecewise linear function -- Supply function -- Demand function -- Residual demand curve
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2021.122444 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25464.xml