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A Day-Ahead Decision Rule Method for Multi-Market Multi-Reservoir Management Rujeerapaiboon, Napat
Description
Peak/off-peak spreads in European electricity spot markets are eroding due to the nuclear phaseout and the recent growth in photovoltaic capacity. The reduced profitability of peak/off-peak arbitrage forces hydropower producers to participate in the reserve markets. We propose a two-layer stochastic programming framework for the optimal operation of a multi-reservoir hydropower plant which sells energy on both the spot and the reserve markets. The backbone of this approach is a combination of decomposition and decision rule techniques. Numerical experiments demonstrate its effectiveness.
Item Metadata
Title |
A Day-Ahead Decision Rule Method for Multi-Market Multi-Reservoir Management
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2019-09-23T17:21
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Description |
Peak/off-peak spreads in European electricity spot markets are eroding due to the nuclear phaseout and the recent growth in photovoltaic capacity. The reduced profitability of peak/off-peak arbitrage forces hydropower producers to participate in the reserve markets. We propose a two-layer stochastic programming framework for the optimal operation of a multi-reservoir hydropower plant which sells energy on both the spot and the reserve markets. The backbone of this approach is a combination of decomposition and decision rule techniques. Numerical experiments demonstrate its effectiveness.
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Extent |
25.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: National University of Singapore
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Series | |
Date Available |
2020-03-22
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0389609
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International