Data · dataset · 2026
Strategic Storage and Generation Capacity in Imperfect Electricity Markets: Insights from a Stylized Model
Listed in D2ET Open Science Portal
Electricity storage is often expected to improve market efficiency by arbitraging price differences across time.
Description
However, when storage is owned by strategic firms that also control generation assets, its operation may deviate from simple arbitrage behavior. This paper examines how market power affects the joint operation of generation and storage in wholesale electricity markets.
We develop a stylized Cournot duopoly model in which firms with heterogeneous generation portfolios simultaneously choose generation output and battery charging and discharging decisions. The model is calibrated using data from the Alberta electricity market. The results show that the presence of storage tends to increase market prices and reduce total output relative to a scenario without storage.
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The magnitude of these effects depends on which firm owns the storage capacity, the characteristics of their generation portfolios, and prevailing market conditions. In addition, firms strategically adjust their storage use in response to their rival’s actions, leading to periods in which one firm charges while the other discharges. These findings suggest that storage operation cannot be understood solely as a temporal arbitrage mechanism and that ownership structure plays a critical role in shaping its market impacts.
Links
Where it is published
- Dataverse dataset page d2et-openscience.list.lu/dataset.xhtml?persistentId=perma%3AD2ET.RPEHJT ↗
landing page · from d2et openscience list lu
- Persistent identifier d2et-openscience.list.lu/citation?persistentId=perma%3AD2ET.RPEHJT ↗
DOI / persistent id · from d2et openscience list lu
Catalogue records · 1
- Dataverse API d2et-openscience.list.lu/api/datasets/:persistentId/?persistentId=perma%3AD2ET.RPEHJT ↗
metadata API · from d2et openscience list lu
Topics
- Stated by source
- Computer and Information Science
- From keywords
- Economics & Finance
- Inferred from text
- Econometrics 68%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| D2ET Open Science Portal | perma:D2ET.RPEHJT | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3802 | enrichment · d2et openscience list lu | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | /subjects |
| created_date | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | |
| description | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | /description |
| publication_date | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | |
| title | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | /name |
| updated_date | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 | |
| version_label | source · d2et openscience list lu | connector:d2et_openscience_list_lu@1.0.0 |