Electricity Trading and Negative Prices: Storage vs. Disposal

Electricity cannot yet be stored on a large scale, but technological advances leading to cheaper and more efficient industrial batteries make grid-level storage of electricity surpluses a natural choice. Because electricity prices can be negative, it is unclear how the presence of negative prices mi...

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Main Authors: ZHOU, Yangfang (Helen), Scheller-Wolf, Alan, Secomandi, Nicola, Smith, Stephen
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Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/3483
https://ink.library.smu.edu.sg/context/lkcsb_research/article/4482/viewcontent/ZhouYFElectricityTrading2014.pdf
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spelling sg-smu-ink.lkcsb_research-44822021-05-18T10:07:40Z Electricity Trading and Negative Prices: Storage vs. Disposal ZHOU, Yangfang (Helen) Scheller-Wolf, Alan Secomandi, Nicola Smith, Stephen Electricity cannot yet be stored on a large scale, but technological advances leading to cheaper and more efficient industrial batteries make grid-level storage of electricity surpluses a natural choice. Because electricity prices can be negative, it is unclear how the presence of negative prices might affect the storage policy structure known to be optimal when prices are only non-negative, or even how important it is to consider negative prices when managing an industrial battery. For fast storage (a storage facility that can both be fully emptied and filled up in one decision period), we show analytically that negative prices can substantially alter the optimal storage policy structure, e.g., all else being equal, it can be optimal to empty an almost empty storage facility and fill up an almost full one. For more typical slow grid-level electricity storage, we numerically establish that ignoring negative prices could result in a considerable loss of value when negative prices occur more than 5% of the time. Negative prices raise another possibility: rather than storing surpluses, a merchant might buy negatively priced electricity surpluses and dispose of them, e.g., using load banks. We find that the value of such disposal strategy is substantial, e.g., about 118 $/kW-year when negative prices occur 10% of the time, but smaller than that of the storage strategy, e.g., about 391 $/kW-year using a typical battery. However, devices for disposal are much cheaper than those for storage. Our results thus have ramifications for merchants as well as policy makers. 2016-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/3483 info:doi/10.1287/mnsc.2015.2161 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4482/viewcontent/ZhouYFElectricityTrading2014.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University inventory electricity storage Markov decision process asset pricing models negative prices Operations and Supply Chain Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic inventory
electricity storage
Markov decision process
asset pricing models
negative prices
Operations and Supply Chain Management
spellingShingle inventory
electricity storage
Markov decision process
asset pricing models
negative prices
Operations and Supply Chain Management
ZHOU, Yangfang (Helen)
Scheller-Wolf, Alan
Secomandi, Nicola
Smith, Stephen
Electricity Trading and Negative Prices: Storage vs. Disposal
description Electricity cannot yet be stored on a large scale, but technological advances leading to cheaper and more efficient industrial batteries make grid-level storage of electricity surpluses a natural choice. Because electricity prices can be negative, it is unclear how the presence of negative prices might affect the storage policy structure known to be optimal when prices are only non-negative, or even how important it is to consider negative prices when managing an industrial battery. For fast storage (a storage facility that can both be fully emptied and filled up in one decision period), we show analytically that negative prices can substantially alter the optimal storage policy structure, e.g., all else being equal, it can be optimal to empty an almost empty storage facility and fill up an almost full one. For more typical slow grid-level electricity storage, we numerically establish that ignoring negative prices could result in a considerable loss of value when negative prices occur more than 5% of the time. Negative prices raise another possibility: rather than storing surpluses, a merchant might buy negatively priced electricity surpluses and dispose of them, e.g., using load banks. We find that the value of such disposal strategy is substantial, e.g., about 118 $/kW-year when negative prices occur 10% of the time, but smaller than that of the storage strategy, e.g., about 391 $/kW-year using a typical battery. However, devices for disposal are much cheaper than those for storage. Our results thus have ramifications for merchants as well as policy makers.
format text
author ZHOU, Yangfang (Helen)
Scheller-Wolf, Alan
Secomandi, Nicola
Smith, Stephen
author_facet ZHOU, Yangfang (Helen)
Scheller-Wolf, Alan
Secomandi, Nicola
Smith, Stephen
author_sort ZHOU, Yangfang (Helen)
title Electricity Trading and Negative Prices: Storage vs. Disposal
title_short Electricity Trading and Negative Prices: Storage vs. Disposal
title_full Electricity Trading and Negative Prices: Storage vs. Disposal
title_fullStr Electricity Trading and Negative Prices: Storage vs. Disposal
title_full_unstemmed Electricity Trading and Negative Prices: Storage vs. Disposal
title_sort electricity trading and negative prices: storage vs. disposal
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/lkcsb_research/3483
https://ink.library.smu.edu.sg/context/lkcsb_research/article/4482/viewcontent/ZhouYFElectricityTrading2014.pdf
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