Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Network-constrained AC Unit Commitment under Uncertainty: A Benders’ Decomposition Approach
KTH, School of Electrical Engineering (EES), Electric Power Systems.
Mechanical Engineering, Johns Hopkins University.
The Ohio State University.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-6431-9104
(English)Manuscript (preprint) (Other academic)
Abstract [en]

This paper proposes an efficient solution approachbased on Benders’ decomposition to solve a network-constrainedac unit commitment problem under uncertainty. The wind powerproduction is the only source of uncertainty considered in thispaper, which is modeled through a suitable set of scenarios.The proposed model is formulated as a two-stage stochasticprogramming problem, whose first-stage refers to the day-aheadmarket, and whose second-stage represents real-time operation.The proposed Benders’ approach allows decomposing the originalproblem, which is mixed-integer non-linear and generallyintractable, into a mixed-integer linear master problem and aset of non-linear, but continuous subproblems, one per scenario.In addition, to temporally decompose the proposed ac unitcommitment problem, a heuristic technique is used to relaxthe inter-temporal ramping constraints of the generating units.Numerical results from a case study based on the IEEE one-areareliability test system (RTS) demonstrate the usefulness of theproposed approach.

Keyword [en]
Network-constrained ac unit commitment, Wind power uncertainty, Stochastic programming, Benders’ decomposition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-154575OAI: oai:DiVA.org:kth-154575DiVA: diva2:757921
Note

QS 2014

Available from: 2014-10-23 Created: 2014-10-23 Last updated: 2014-10-29Bibliographically approved
In thesis
1. On the Dynamics and Statics of Power System Operation: Optimal Utilization of FACTS Devicesand Management of Wind Power Uncertainty
Open this publication in new window or tab >>On the Dynamics and Statics of Power System Operation: Optimal Utilization of FACTS Devicesand Management of Wind Power Uncertainty
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Nowadays, power systems are dealing with some new challenges raisedby the major changes that have been taken place since 80’s, e.g., deregu-lation in electricity markets, significant increase of electricity demands andmore recently large-scale integration of renewable energy resources such aswind power. Therefore, system operators must make some adjustments toaccommodate these changes into the future of power systems.One of the main challenges is maintaining the system stability since theextra stress caused by the above changes reduces the stability margin, andmay lead to rise of many undesirable phenomena. The other important chal-lenge is to cope with uncertainty and variability of renewable energy sourceswhich make power systems to become more stochastic in nature, and lesscontrollable.Flexible AC Transmission Systems (FACTS) have emerged as a solutionto help power systems with these new challenges. This thesis aims to ap-propriately utilize such devices in order to increase the transmission capacityand flexibility, improve the dynamic behavior of power systems and integratemore renewable energy into the system. To this end, the most appropriatelocations and settings of these controllable devices need to be determined.This thesis mainly looks at (i) rotor angle stability, i.e., small signal andtransient stability (ii) system operation under wind uncertainty. In the firstpart of this thesis, trajectory sensitivity analysis is used to determine themost suitable placement of FACTS devices for improving rotor angle sta-bility, while in the second part, optimal settings of such devices are foundto maximize the level of wind power integration. As a general conclusion,it was demonstrated that FACTS devices, installed in proper locations andtuned appropriately, are effective means to enhance the system stability andto handle wind uncertainty.The last objective of this thesis work is to propose an efficient solutionapproach based on Benders’ decomposition to solve a network-constrained acunit commitment problem in a wind-integrated power system. The numericalresults show validity, accuracy and efficiency of the proposed approach.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. 68 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2014:048
Keyword
Trajectory sensitivity analysis (TSA), transient stability, small signal stability, flexible AC transmission system (FACTS) devices, critical clearing time (CCT), optimal power flow (OPF), network-constrained ac unit commitment (ac-UC), wind power uncertainty, wind power spillage, stochastic programming, Benders’ decomposition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-154576 (URN)978-91-7595-302-1 (ISBN)
Public defence
2014-11-13, H1, Teknikringen 33, KTH, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively.QC 20141028

Available from: 2014-10-28 Created: 2014-10-23 Last updated: 2014-10-28Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Ghandhari, Mehrdad

Search in DiVA

By author/editor
Nasri, AminGhandhari, Mehrdad
By organisation
Electric Power Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 406 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf