| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0507761 |
| utime |
20240103222435.6 |
| mtime |
20190822235959.9 |
| SCOPUS |
85075142837 |
| DOI |
10.11159/icert19.105 |
| title
(primary) (eng) |
Producer's Best Response in Pay-as-clear Electricity Market with Uncertain Demand |
| specification |
| page_count |
2 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0507775 |
| ISBN |
978-1-927877-62-3 |
| ISSN |
2369-8128 |
| title
|
Proceedings of the 5th World Congress on New Technologies (NewTech'19) |
| publisher |
| place |
Ontario |
| name |
International ASET Inc. |
| year |
2019 |
|
|
| keyword |
Nash equilibria |
| keyword |
uncertainty |
| keyword |
Independent System Operator (ISO) |
| author
(primary) |
| ARLID |
cav_un_auth*0298685 |
| share |
25 |
| name1 |
Aussel |
| name2 |
D. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0280972 |
| share |
25 |
| name1 |
Branda |
| name2 |
Martin |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department |
MTR |
| full_dept |
Department of Decision Making Theory |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0015558 |
| share |
25 |
| name1 |
Henrion |
| name2 |
R. |
| country |
DE |
|
| author
|
| ARLID |
cav_un_auth*0234872 |
| share |
25 |
| name1 |
Pištěk |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department |
MTR |
| full_dept |
Department of Decision Making Theory |
| country |
CZ |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0348851 |
| project_id |
GA17-08182S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0373104 |
| project_id |
GA18-04145S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
In this work, we are particularly focused on several sources of uncertainty in (pay-as-clear) electricity markets. To deal with stochastic demand we employ the so-called chance constrained formulations of the problem [1] of the ISO as well as the problem of each producer. In detail, the ISO minimizes the production cost using a value-at-risk (VaR) approach, thus hedging against discrepancies between estimated and real electricity demand. Similarly, in the day-ahead market, each producer is hedging against the uncertainty of his own prediction of the demand using VaR approach again. In such a setting we aim at determining the “best response” of a given producer, i.e. the bid maximizing its profit. |
| action |
| ARLID |
cav_un_auth*0378928 |
| name |
World Congress on New Technologies (NewTech'19) /5./ |
| dates |
20190818 |
| mrcbC20-s |
20190820 |
| place |
Lisabon |
| country |
PT |
|
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2020 |
| num_of_auth |
4 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0298746 |
| mrcbC61 |
1 |
| confidential |
S |
| article_num |
105 |
| arlyear |
2019 |
| mrcbU14 |
85075142837 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0507775 Proceedings of the 5th World Congress on New Technologies (NewTech'19) 978-1-927877-62-3 2369-8128 Ontario International ASET Inc. 2019 |
|