An Optimization Model for the Electricity Market Clearing Problem With Uniform Purchase Price and Zonal Selling Prices

Electricity markets can be designed in different ways. One rule that is sometimes enforced is the uniform purchase price. Under this pricing method, all the consumers pay the same price regardless of the zone they belong to. By contrast, each producer receives its zonal price. This asymmetry in the...

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Veröffentlicht in:IEEE transactions on power systems Jg. 33; H. 3; S. 2864 - 2873
Hauptverfasser: Savelli, Iacopo, Giannitrapani, Antonio, Paoletti, Simone, Vicino, Antonio
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0885-8950, 1558-0679
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Abstract Electricity markets can be designed in different ways. One rule that is sometimes enforced is the uniform purchase price. Under this pricing method, all the consumers pay the same price regardless of the zone they belong to. By contrast, each producer receives its zonal price. This asymmetry in the price paid and received makes the clearing process not easily treatable through standard optimization techniques. Within the framework of marginal pricing, this paper shows how it is possible to formulate the market clearing problem with uniform purchase price and zonal selling prices as a computationally tractable mixed integer linear programming problem. The proposed approach is tested using real data from the Italian day-ahead market, which is actually based on the aforementioned rule.
AbstractList Electricity markets can be designed in different ways. One rule that is sometimes enforced is the uniform purchase price. Under this pricing method, all the consumers pay the same price regardless of the zone they belong to. By contrast, each producer receives its zonal price. This asymmetry in the price paid and received makes the clearing process not easily treatable through standard optimization techniques. Within the framework of marginal pricing, this paper shows how it is possible to formulate the market clearing problem with uniform purchase price and zonal selling prices as a computationally tractable mixed integer linear programming problem. The proposed approach is tested using real data from the Italian day-ahead market, which is actually based on the aforementioned rule.
Author Savelli, Iacopo
Vicino, Antonio
Giannitrapani, Antonio
Paoletti, Simone
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Cites_doi 10.1109/TPWRS.2016.2551046
10.1007/978-1-4757-2836-1
10.1109/TPWRS.2013.2245923
10.1109/TPWRS.2011.2161348
10.1109/TPWRS.2016.2542823
10.1137/1.9780898719000
10.1109/TPWRS.2004.840397
10.1109/99.714603
10.1109/TPWRS.2010.2079338
10.1109/TPAS.1982.317507
10.1002/0470020598
10.1109/TPWRS.2011.2126025
10.1007/978-1-4613-1683-1
10.1016/j.apenergy.2013.10.015
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References ref13
gabriel (ref15) 2012; 180
ref12
mas-colell (ref9) 1995; 1
ref14
ref31
ref11
fernández-blanco (ref20) 2014
(ref5) 0
ref19
(ref2) 2002
ref18
(ref1) 0
rubinfeld (ref10) 2013
(ref17) 2009
(ref16) 2017
mccarl (ref26) 2016
ref25
ref22
ref21
(ref8) 0
ref28
(ref24) 2009
(ref30) 0
(ref29) 0
ref7
(ref27) 2016
(ref4) 0
ref3
ref6
bradley (ref23) 1977
References_xml – ident: ref21
  doi: 10.1109/TPWRS.2016.2551046
– year: 2016
  ident: ref27
  publication-title: CPLEX User's Manual-Version 12 Release 7
– year: 2002
  ident: ref2
  article-title: UPPO Auction Module User Manual
– year: 2016
  ident: ref26
  article-title: McCarl Expanded GAMS User Guide-Version 24.6. Washington, DC, USA: GAMS Development Corporation
– ident: ref18
  doi: 10.1007/978-1-4757-2836-1
– ident: ref31
  doi: 10.1109/TPWRS.2013.2245923
– ident: ref22
  doi: 10.1109/TPWRS.2011.2161348
– volume: 1
  year: 1995
  ident: ref9
  publication-title: Microeconomic Theory
– ident: ref14
  doi: 10.1109/TPWRS.2016.2542823
– ident: ref12
  doi: 10.1137/1.9780898719000
– ident: ref25
  doi: 10.1109/TPWRS.2004.840397
– ident: ref28
  doi: 10.1109/99.714603
– year: 0
  ident: ref1
– year: 0
  ident: ref30
– year: 0
  ident: ref5
– ident: ref3
  doi: 10.1109/TPWRS.2010.2079338
– ident: ref6
  doi: 10.1109/TPAS.1982.317507
– volume: 180
  year: 2012
  ident: ref15
  publication-title: Complementarity Modeling in Energy Markets
– year: 0
  ident: ref4
– year: 0
  ident: ref8
– year: 2009
  ident: ref17
  article-title: Technical bulletin-Market optimization details
– start-page: 1
  year: 2014
  ident: ref20
  article-title: Revenue-and network-constrained market clearing via bilevel programming
  publication-title: Proc Power Syst Comput Conf
– ident: ref19
  doi: 10.1002/0470020598
– year: 2013
  ident: ref10
  publication-title: Microeconomics
– ident: ref13
  doi: 10.1109/TPWRS.2011.2126025
– year: 2009
  ident: ref24
  publication-title: MIP formulations and linearizations - Quick reference
– year: 1977
  ident: ref23
  publication-title: Applied Mathematical Programming
– year: 0
  ident: ref29
  article-title: Daily and intraday electricity market operating rules.
– year: 2017
  ident: ref16
  article-title: PCR status update
– ident: ref7
  doi: 10.1007/978-1-4613-1683-1
– ident: ref11
  doi: 10.1016/j.apenergy.2013.10.015
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SubjectTerms Acquisitions & mergers
bilevel programming
binary expansion
Clearing
Economics
Electricity pricing
Electricity supply industry
Europe
Integer programming
Linear programming
Marginal pricing
market clearing
Markets
Mixed integer
Optimization
Optimization models
Optimization techniques
power system economics
Pricing
Search problems
Uniform purchase price
Title An Optimization Model for the Electricity Market Clearing Problem With Uniform Purchase Price and Zonal Selling Prices
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