DocumentCode :
3082172
Title :
α-stable statistical modeling and application of marginal price in electricity market
Author :
Chen, Quan ; Luo, Chenchi ; Kuruoglu, Ercan Engin ; Yan, Zheng
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2008
fDate :
10-13 Dec. 2008
Firstpage :
1
Lastpage :
6
Abstract :
In the electricity market, modeling marginal price facilitates to solve many problems in it. To model the probability density function (PDF) of system marginal price (SMP) in the spot market, positivism analysis on SMP PDF is presented in this paper. In contract to the weakness of some traditional probabilistic distribution model, an alpha-stable distribution model that proposed in this paper, has a better adaptation of skewness and heavy tail effect manifested by electricity prices with the theoretical support of generalized central limit theorem (GCLT). Based on this new model, an equal probability bidding strategy for generation companies is proposed in this paper. Finally, a numerical example applying the actual data from PJM electricity market, proves our deduction that alpha -stable distribution is more attractive, and the new bidding strategy not only increases the profit in selling electricity, but also decreases the risk in it.
Keywords :
power generation economics; power markets; pricing; statistical distributions; PDF modeling; PJM electricity market; alpha-stable statistical distribution modeling; generalized central limit theorem; marginal price modeling; positivism analysis; power generation company; probability bidding strategy; probability density function; Contracts; Electricity supply industry; Marketing and sales; Power generation; Power markets; Probability density function; Probability distribution; Risk analysis; Statistical distributions; Supply and demand; α-stable distribution model; bidding strategy; electricity market; probabilistic model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution, 2008. CICED 2008. China International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-3373-5
Electronic_ISBN :
978-1-4244-3372-8
Type :
conf
DOI :
10.1109/CICED.2008.5211727
Filename :
5211727
Link To Document :
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