• Schedule of Thermal Units with...

Treffer: Schedule of Thermal Units with Emissions in a Spot Electricity Market

Title:
Schedule of Thermal Units with Emissions in a Spot Electricity Market
Authors:
Laia, R., Pousinho, H., I., Melício, R., Mendes, V., F., Reis, A., H.
Contributors:
Universidade de Évora = University of Évora Portugal, Instituto Superior Técnico (Universidade de Lisboa) Lisboa (IST / Técnico Lisboa), Universidade de Lisboa = University of Lisbon = Université de Lisbonne Lisboa (ULISBOA), Instituto Superior de Engenharia de Lisboa (ISEL), Luis M. Camarinha-Matos, Slavisa Tomic, Paula Graça, TC 5, WG 5.5
Source:
IFIP Advances in Information and Communication Technology ; 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS) ; https://hal.science/hal-01348774 ; 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.361-370, ⟨10.1007/978-3-642-37291-9_39⟩
Publisher Information:
CCSD
Springer
Publication Year:
2013
Subject Terms:
Pareto-optimal solution, dynamic programming, emissions, thermal units, Short-term schedule, [INFO]Computer Science [cs]
Subject Geographic:
Costa de Caparica, Portugal
Document Type:
Konferenz conference object
Language:
English
DOI:
10.1007/978-3-642-37291-9_39
Availability:
https://hal.science/hal-01348774
https://hal.science/hal-01348774v1/document
https://hal.science/hal-01348774v1/file/978-3-642-37291-9_39_Chapter.pdf
https://doi.org/10.1007/978-3-642-37291-9_39
Rights:
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
Accession Number:
edsbas.1B5BCB60
Database:
BASE

Weitere Informationen

Part 13: Energy Generation ; International audience ; A bi-objective optimization approach is presented for solving a generation company short-term thermal schedule problem with a few units, considering the goodness of being schedule, but with emission concern. The startup and shutdown for each unit throughout the time horizon is derived from Pareto-optimal solutions, using a method merging dynamic programming and nonlinear programming to provide schedule of the units. A case study is presented to prove the effectiveness of the approach.