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Storage and Demand Side Management as power generator’s strategic instruments to influence demand and prices

Classic storage utilisation is mainly based on charging/discharging strategies enabling a power generation company to generate revenues by buying electricity in low-price periods and selling it at higher prices. Within this paper another feasible way to gain arbitrage in storage utilisation is consi...

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Bibliographic Details
Published in:Energy (Oxford) 2011-11, Vol.36 (11), p.6308-6317
Main Authors: Prüggler, Natalie, Prüggler, Wolfgang, Wirl, Franz
Format: Article
Language:English
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Summary:Classic storage utilisation is mainly based on charging/discharging strategies enabling a power generation company to generate revenues by buying electricity in low-price periods and selling it at higher prices. Within this paper another feasible way to gain arbitrage in storage utilisation is considered: Strategically increasing demand disregarding existing market prices. This means, charging electricity for storage is not only bought in low price periods, but in all periods where storage charging could influence demand so that market prices increase. This idea is expanded by focussing on another frequently discussed topic which could serve utilities for the same purpose: Automated Demand Side Management (DSM). By using data from Ontario’s electricity market and applying a particular storage and DSM strategy it is analysed to which extent a non-regulated dominant power generation company could influence hourly demand and corresponding prices. It turns out that both strategies analysed derive additional revenues for the dominant power generation company compared to a Business-as-Usual (BAU) case. The results provide an indicator of potential threats for misuse from particular storage or DSM utilisation. Therefore, especially in countries where DSM and/or storage applications are still in its fledgling stages, appropriate market surveillance has to be guaranteed. ► Theoretical framework of strategic storage and DSM utilization. ► Application of a particular storage and DSM strategy with Ontario market data. ► Sensitivity analysis. ► Discussion of potential threats caused by the utilization of such strategies.
ISSN:0360-5442
DOI:10.1016/j.energy.2011.09.048