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Abstract
Previous pricing strategies including timeofuse price and dynamic price reflect system marginal cost and calculate consumers’ bills according to the quantity of their electricity usage. Little effort is made to understand the impact of power volatility on total production costs. This paper thus proposes a novel pricing strategy reflecting the cost arising from power volatility. Firstly, the impact of volatility on the production cost is investigated to quantify volatility cost. Secondly, a novel pricing model is proposed to allocate the volatility cost to consumers and renewable energy generations (REGs). It can reveal the coupling relationship between an individual load/REG curve and the system load curve. Thirdly, under the proposed pricing strategy, customers/REGs help to flatten the system load curve and reduce the production cost in a decentralized manner, which is certificated theoretically based on the Haar wavelet transforms. Validation on residential level loads shows that the volatility and peaktovalley difference of aggregated load curve is reduced by 34.07% and 19.81%, respectively. The problem of synchronous response among customers faced by hourly price strategies is addressed by the proposed strategy. A test on megawattlevel loads shows a 61.95% reduction in system load volatility and a 2.21% reduction in production cost. It also reduces the peaktovalley difference by 6.52%.
Original language  English 

Pages (fromto)  105863105871 
Number of pages  8 
Journal  IEEE Access 
Volume  7 
DOIs  
Publication status  Published  1 Aug 2019 
Keywords
 Pricing strategy
 volatility cost
 correlation coefficient
 decentralized demand response
 wavelet transforms
ASJC Scopus subject areas
 General Engineering
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Dive into the research topics of 'A Pricing Strategy Reflecting the Cost of Power Volatility to Facilitate Decentralized Demand Response'. Together they form a unique fingerprint.Projects
 1 Finished

PeertoPeer Energy Trading and Sharing  3M (Multitimes, Multiscales, Multiqualities)
Li, F., Jeon, J. & Li, R.
Engineering and Physical Sciences Research Council
1/09/16 → 29/02/20
Project: Research council