Paper Info
Title
A Pricing Strategy Reflecting The Cost Of Power Volatility To Facilitate Decentralized Demand Response
Abstract
Previous pricing strategies including time-of-use 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 peak-to-valley 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 megawatt-level loads shows a 61.95% reduction in system load volatility and a 2.21% reduction in production cost. It also reduces the peak-to-valley difference by 6.52%.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2932499
IEEE ACCESS
Keywords
DocType
Volume
Pricing strategy, volatility cost, correlation coefficient, decentralized demand response, wavelet transforms
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Zhong Zhang100.34
Furong Li2188.16
Heng Shi371.30