A practical scenario generation method for electricity prices on day-ahead and intraday spot markets
Computers & Chemical Engineering, vol. 199, pp. 109118
Abstract
The increasing interest in demand-side management (DSM) as part of the energy cost optimization calls for effective methods to determine representative electricity prices for energy optimization and scheduling investigations. We propose a practical method to construct price profiles of day-ahead (DA) and intraday (ID) electricity spot markets. We construct single-day and single-week price profiles based on historical market time series to provide ready-to-use price data sets. Our method accounts for dominant mechanisms in price variation to preserve critical statistical features (e.g., mean and standard deviation) and transient patterns in the constructed profiles. Unlike common scenario generation approaches, the method is deterministic, with few degrees of freedom and minimal application effort. Our method ensures consistency between ID and DA price profiles when both are considered and introduces profile scaling to enable multiple scenario generation. Finally, we compare the constructed profiles to clustering techniques in a DSM case study, noting similar cost results. • Electricity price scenarios from historical data. • Simple method, few parameters, easily reproducible. • Consistent, adjustable day-ahead and intraday profiles. • Scenarios represent recent historical EPEX spot data. • Comparable to standard price generation methods for demand response case studies.
Authors 3
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Affiliation as printed
Process Systems Engineering (AVT.SVT), RWTH Aachen University, 52074 Aachen, Germany
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Affiliation as printed
Process Systems Engineering (AVT.SVT), RWTH Aachen University, 52074 Aachen, Germany
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RWTH Aachen University · Forschungszentrum Jülich · Jülich Aachen Research Alliance
Affiliation as printed
Energy Systems Engineering (ICE-1), Forschungszentrum Jülich, 52425 Jülich, Germany
JARA-ENERGY, 52056 Aachen, Germany
Process Systems Engineering (AVT.SVT), RWTH Aachen University, 52074 Aachen, Germany
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