Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems

This paper presents a mixed-integer linear optimization problem for unit commitment and economic dispatch of power generators in a meshed isolated power system. The optimization problem is referred to as the optimal reserve planning problem (ORPP). The ORPP guarantees that the system frequency is ke...

Full description

Bibliographic Details
Published in:IEEE Transactions on Power Systems
Main Authors: Sokoler, Leo Emil, Vinter, Peter, Bærentsen, Runi, Edlund, Kristian, Jørgensen, John Bagterp
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/99666fde-664a-4cf6-8620-8abe9485cfde
https://doi.org/10.1109/TPWRS.2015.2485781
id ftdtupubl:oai:pure.atira.dk:publications/99666fde-664a-4cf6-8620-8abe9485cfde
record_format openpolar
spelling ftdtupubl:oai:pure.atira.dk:publications/99666fde-664a-4cf6-8620-8abe9485cfde 2024-09-15T18:05:39+00:00 Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems Sokoler, Leo Emil Vinter, Peter Bærentsen, Runi Edlund, Kristian Jørgensen, John Bagterp 2015 https://orbit.dtu.dk/en/publications/99666fde-664a-4cf6-8620-8abe9485cfde https://doi.org/10.1109/TPWRS.2015.2485781 eng eng https://orbit.dtu.dk/en/publications/99666fde-664a-4cf6-8620-8abe9485cfde info:eu-repo/semantics/closedAccess Sokoler , L E , Vinter , P , Bærentsen , R , Edlund , K & Jørgensen , J B 2015 , ' Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems ' , IEEE Transactions on Power Systems , vol. PP , no. 99 . https://doi.org/10.1109/TPWRS.2015.2485781 Energy management Power generation planning Optimal scheduling Integer Linear Programming Islanding article 2015 ftdtupubl https://doi.org/10.1109/TPWRS.2015.2485781 2024-08-13T00:03:05Z This paper presents a mixed-integer linear optimization problem for unit commitment and economic dispatch of power generators in a meshed isolated power system. The optimization problem is referred to as the optimal reserve planning problem (ORPP). The ORPP guarantees that the system frequency is kept above a predefined limit in the event of a contingency. The minimum frequency constraints are formulated using novel sufficient conditions that take into account the system inertia and the dynamics of the power generators. The proposed sufficient conditions are attractive from both a computational and a modelling point of view. We compare the ORPP to a unit commitment problem that only considers the stationary behavior of the frequency. Simulations based on a Faroe Islands case study show that, without being overly conservative, potential blackouts and power outages can be avoided using the ORPP. In the particular case study, the cost increase associated with the additional security provided by the ORPP is less than 3%. Article in Journal/Newspaper Faroe Islands Technical University of Denmark: DTU Orbit IEEE Transactions on Power Systems 31 5 3516 3526
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
topic Energy management
Power generation planning
Optimal scheduling
Integer Linear Programming
Islanding
spellingShingle Energy management
Power generation planning
Optimal scheduling
Integer Linear Programming
Islanding
Sokoler, Leo Emil
Vinter, Peter
Bærentsen, Runi
Edlund, Kristian
Jørgensen, John Bagterp
Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
topic_facet Energy management
Power generation planning
Optimal scheduling
Integer Linear Programming
Islanding
description This paper presents a mixed-integer linear optimization problem for unit commitment and economic dispatch of power generators in a meshed isolated power system. The optimization problem is referred to as the optimal reserve planning problem (ORPP). The ORPP guarantees that the system frequency is kept above a predefined limit in the event of a contingency. The minimum frequency constraints are formulated using novel sufficient conditions that take into account the system inertia and the dynamics of the power generators. The proposed sufficient conditions are attractive from both a computational and a modelling point of view. We compare the ORPP to a unit commitment problem that only considers the stationary behavior of the frequency. Simulations based on a Faroe Islands case study show that, without being overly conservative, potential blackouts and power outages can be avoided using the ORPP. In the particular case study, the cost increase associated with the additional security provided by the ORPP is less than 3%.
format Article in Journal/Newspaper
author Sokoler, Leo Emil
Vinter, Peter
Bærentsen, Runi
Edlund, Kristian
Jørgensen, John Bagterp
author_facet Sokoler, Leo Emil
Vinter, Peter
Bærentsen, Runi
Edlund, Kristian
Jørgensen, John Bagterp
author_sort Sokoler, Leo Emil
title Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
title_short Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
title_full Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
title_fullStr Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
title_full_unstemmed Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems
title_sort contingency-constrained unit commitmentin meshed isolated power systems
publishDate 2015
url https://orbit.dtu.dk/en/publications/99666fde-664a-4cf6-8620-8abe9485cfde
https://doi.org/10.1109/TPWRS.2015.2485781
genre Faroe Islands
genre_facet Faroe Islands
op_source Sokoler , L E , Vinter , P , Bærentsen , R , Edlund , K & Jørgensen , J B 2015 , ' Contingency-Constrained Unit Commitmentin Meshed Isolated Power Systems ' , IEEE Transactions on Power Systems , vol. PP , no. 99 . https://doi.org/10.1109/TPWRS.2015.2485781
op_relation https://orbit.dtu.dk/en/publications/99666fde-664a-4cf6-8620-8abe9485cfde
op_rights info:eu-repo/semantics/closedAccess
op_doi https://doi.org/10.1109/TPWRS.2015.2485781
container_title IEEE Transactions on Power Systems
container_volume 31
container_issue 5
container_start_page 3516
op_container_end_page 3526
_version_ 1810443193765855232