bibtype J - Journal Article
ARLID 0449000
utime 20240103210933.9
mtime 20160302235959.9
WOS 000369421300002
SCOPUS 84939622354
DOI 10.1051/ro/2015009
title (primary) (eng) Deregulated electricity markets with thermal losses and production bounds: models and optimality conditions
specification
page_count 20 s.
media_type P
serial
ARLID cav_un_epca*0254879
ISSN 0399-0559
title R A I R O - Operations Research
volume_id 50
volume 1 (2016)
page_num 19-38
keyword Deregulated electricity market
keyword production bounds
keyword mathematical program with complementarity constraints
keyword M-stationarity
keyword calmness
author (primary)
ARLID cav_un_auth*0298685
name1 Aussel
name2 D.
country FR
author
ARLID cav_un_auth*0220207
name1 Červinka
name2 Michal
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0320910
name1 Marechal
name2 M.
country CL
cas_special
project
project_id GAP402/12/1309
agency GA ČR
ARLID cav_un_auth*0284931
project
project_id GA201/09/1957
agency GA ČR
ARLID cav_un_auth*0253042
abstract (eng) A multi-leader-common-follower game formulation has been recently used by many authors to model deregulated electricity markets. In our work, we first propose a model for the case of electricity market with thermal losses on transmission and with production bounds, a situation for which we emphasize several formulations based on different types of revenue functions of producers. Focusing on a problem of one particular producer, we provide and justify an MPCC reformulation of the producer’s problem. Applying the generalized differential calculus, the so-called M-stationarity conditions are derived for the reformulated electricity market model. Finally, verification of suitable constraint qualification that can be used to obtain first order necessary optimality conditions for the respective MPCCs are discussed.
reportyear 2016
RIV BA
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0257828
cooperation
ARLID cav_un_auth*0320887
name University of Perpignan, Lab. PROMES
country FR
cooperation
ARLID cav_un_auth*0320888
name Centro de Modelamiento Matematico, Santiago
country CL
confidential S
mrcbC86 2 Article Operations Research Management Science
mrcbT16-e OPERATIONSRESEARCHMANAGEMENTSCIENCE
mrcbT16-j 0.196
mrcbT16-s 0.280
mrcbT16-4 Q3
mrcbT16-B 3.797
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2016
mrcbU14 84939622354 SCOPUS
mrcbU34 000369421300002 WOS
mrcbU63 cav_un_epca*0254879 R A I R O - Operations Research 0399-0559 1290-3868 Roč. 50 č. 1 2016 19 38