Doctoral Dissertations
Abstract
"Restructuring of power industry created the competitive situations for different MPs through designing appropriate electricity markets. Typically, in pool-based electricity markets, MPs submit their offers, and ISO clears the market and notifies MPs of the cleared power amounts and market prices. In this situation, designing an effective bidding strategy for MPs who seek to maximize their profits has thus become one of the crucial yet difficult tasks that still need further exploration. The majority of recent studies overlooked this problem for the purely financial players. Therefore, designing an efficient strategy for virtual bidder in the pool-based electricity markets is studied in this work. Moreover, this problem is extensively examined for the asset-owned MPs who are able to place virtual bids into the electricity market and the difference between the behavior of this player and the virtual bidder’s decision is highlighted employing different case studies. Transmission congestion in power system causes the price separation in different nodes in the DA electricity market, which creates the difference between the payment to the generators and the payment collected from the loads. ISO, as a nonbeneficiary organization, redistributes this surplus to the MPs through the FTR auction. The FTR value is dependent to the DA LMP. That is, the DA market and FTR auction are interrelated from a MP’s viewpoint. Furthermore, a strategic MP may tend to manipulate the FTR value employing the virtual transactions to improve its overall strategy in participating in both FTR auction and DA market. Therefore, this work also proposes a bidding strategy framework for a price-maker MP attending in both FTR auction and DA market with the consideration of virtual bidding"--Abstract, p. iii
Advisor(s)
Bo, Rui
Committee Member(s)
Alsharoa, Ahmad
Zhang, Jiangfan
Fu, Yanjie
Zhou, Yishu
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2022
Pagination
xii, 128 pages
Note about bibliography
Includes_bibliographical_references_(pages 119-127)
Rights
© 2022 Hossein Mehdipourpicha, All Rights Reserved
Document Type
Dissertation - Open Access
File Type
text
Language
English
Thesis Number
T 12200
Recommended Citation
Mehdipourpicha, Hossein, "MULTI-STAGE MULTI-MARKET OPTIMAL BIDDING STRATEGY IN ELECTRICITY MARKETS" (2022). Doctoral Dissertations. 3235.
https://scholarsmine.mst.edu/doctoral_dissertations/3235