Simultaneous consideration of the balancing market and day-ahead market in Stackelberg game for flexiramp procurement problem in the presence of the wind farms and a DR aggregator
This study presents a cooperative bidding model for energy, reserve, and flexiramp providing by a group of suppliers. Procurement problems in electricity markets have been analysed through the Stackelberg concept and modelled via bi-level programming. However, previous bi-level models have captured...
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| Published in: | IET generation, transmission & distribution Vol. 13; no. 18; pp. 4099 - 4113 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
17.09.2019
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | This study presents a cooperative bidding model for energy, reserve, and flexiramp providing by a group of suppliers. Procurement problems in electricity markets have been analysed through the Stackelberg concept and modelled via bi-level programming. However, previous bi-level models have captured the game only in the context of the day-ahead or real-time market. In this study, a stochastic two-stage multi-objective bi-level model for procurement problem in the day-ahead and balancing markets is proposed; in which the Stackelberg game is simultaneously considered in these markets. In each stage of the proposed model, multiple decision-makers including conventional and wind generating units as well as a demand response (DR) aggregator act as leaders, and independent system operator (ISO) acts as a follower. The presented model for DR aggregator determines some important parameters dynamically considering the hourly locational marginal prices and the behaviour of the small-size consumers. To solve the model, two reformulation schemes are presented: (i) a Karush Kuhn Tucker (KKT) method with some linearisation approaches and (ii) a fuzzy max–min technique. The proposed model is applied to the 24-bus IEEE test system to demonstrate the effects of the Stackelberg game in balancing market on the day-ahead market's equilibriums and benefits of implementing the proposed model in electricity markets. |
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| AbstractList | This study presents a cooperative bidding model for energy, reserve, and flexiramp providing by a group of suppliers. Procurement problems in electricity markets have been analysed through the Stackelberg concept and modelled via bi‐level programming. However, previous bi‐level models have captured the game only in the context of the day‐ahead or real‐time market. In this study, a stochastic two‐stage multi‐objective bi‐level model for procurement problem in the day‐ahead and balancing markets is proposed; in which the Stackelberg game is simultaneously considered in these markets. In each stage of the proposed model, multiple decision‐makers including conventional and wind generating units as well as a demand response (DR) aggregator act as leaders, and independent system operator (ISO) acts as a follower. The presented model for DR aggregator determines some important parameters dynamically considering the hourly locational marginal prices and the behaviour of the small‐size consumers. To solve the model, two reformulation schemes are presented: (i) a Karush Kuhn Tucker (KKT) method with some linearisation approaches and (ii) a fuzzy max–min technique. The proposed model is applied to the 24‐bus IEEE test system to demonstrate the effects of the Stackelberg game in balancing market on the day‐ahead market's equilibriums and benefits of implementing the proposed model in electricity markets. |
| Author | Kazemzadeh, Reza Baradaran Kaheh, Zohreh Sheikh-El-Eslami, Mohammad Kazem |
| Author_xml | – sequence: 1 givenname: Zohreh surname: Kaheh fullname: Kaheh, Zohreh organization: 1Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran – sequence: 2 givenname: Reza Baradaran surname: Kazemzadeh fullname: Kazemzadeh, Reza Baradaran email: rkazem@modares.ac.ir organization: 1Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran – sequence: 3 givenname: Mohammad Kazem surname: Sheikh-El-Eslami fullname: Sheikh-El-Eslami, Mohammad Kazem organization: 2Faculty of Electrical & Computer Engineering, Tarbiat Modares University, Tehran, Iran |
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| Cites_doi | 10.1016/j.amc.2005.01.149 10.1016/j.epsr.2016.12.031 10.1016/0305-0548(95)00007-9 10.1016/j.enpol.2008.09.030 10.1007/s10479-017-2453-z 10.1016/j.enpol.2010.08.002 10.1109/TPWRS.2011.2182214 10.1016/j.ijepes.2014.01.033 10.1109/TPWRS.2013.2254728 10.1016/j.apenergy.2015.12.039 10.1007/978-3-319-75151-1_6 10.1109/TPWRS.2011.2161497 10.1109/TPWRS.2011.2170439 10.1016/j.jup.2015.03.002 10.1016/j.apm.2013.02.012 10.1016/j.apenergy.2015.10.140 10.1109/TPWRS.2010.2095890 10.1109/59.780914 10.1016/j.ejor.2011.01.017 10.1016/j.apm.2013.11.008 10.1109/TPWRS.2016.2551046 10.1016/j.apenergy.2009.05.041 10.1016/j.apenergy.2016.07.077 10.1109/TDC.2012.6281655 10.1109/TSG.2013.2257894 10.1109/TPWRS.2014.2356255 10.1109/TPWRS.2009.2019777 10.1109/PSCC.2016.7540955 |
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| Keywords | flexiramp procurement problem Stackelberg game stochastic programming fuzzy set theory balancing markets balancing market minimax techniques hourly locational marginal prices power markets cooperative bidding model wind power plants real-time market simultaneous consideration bi-level programming DR aggregator electricity markets two-stage multiobjective bi-level model game theory fuzzy max–min technique wind farms day-ahead market previous bi-level models procurement decision making linearisation approaches demand side management pricing wind generating units demand response aggregator multiple decision-makers |
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| SubjectTerms | balancing market balancing markets bi‐level programming cooperative bidding model day‐ahead market decision making demand response aggregator demand side management DR aggregator electricity markets flexiramp procurement problem fuzzy max–min technique fuzzy set theory game theory hourly locational marginal prices linearisation approaches minimax techniques multiple decision‐makers power markets previous bi‐level models pricing procurement real‐time market Research Article simultaneous consideration Stackelberg game stochastic programming two‐stage multiobjective bi‐level model wind farms wind generating units wind power plants |
| Title | Simultaneous consideration of the balancing market and day-ahead market in Stackelberg game for flexiramp procurement problem in the presence of the wind farms and a DR aggregator |
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