Unit commitment using nearest neighbor as a short-term proxy

High-accuracy; Large power systems; Nearest neighbors; Orders of magnitude; Runtimes; Short term; Traditional approaches; Unit-commitment; Hierarchical systems

Abstract :

[en] We devise the Unit Commitment Nearest Neighbor (UCNN) algorithm to be used as a proxy for quickly approximating outcomes of short-term decisions, to make tractable hierarchical long-term assessment and planning for large power systems. Experimental results on updated versions of IEEE-RTS79 and IEEE-RTS96 show high accuracy measured on operational cost, achieved in runtimes that are lower in several orders of magnitude than the traditional approach. © 2018 Power Systems Computation Conference.

Disciplines :

Computer science
Electrical & electronics engineering

Author, co-author :

Dalal, G.; Israel Institute of Technology, Department of Electrical Engineering Technion, Israel

Gilboa, E.; Israel Institute of Technology, Department of Electrical Engineering Technion, Israel

Mannor, S.; Israel Institute of Technology, Department of Electrical Engineering Technion, Israel

Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Language :

English

Title :

Unit commitment using nearest neighbor as a short-term proxy

Publication date :

June 2018

Event name :

20th Power Systems Computation Conference, PSCC 2018

Event date :

11 June 2018 through 15 June 2018

Audience :

International

Main work title :

20th Power Systems Computation Conference, PSCC 2018

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Peer reviewed :

Peer reviewed

European Projects :

FP7 - 608540 - GARPUR - Generally Accepted Reliability Principle with Uncertainty modelling and through probabilistic Risk assessment

Funders :

CE - Commission Européenne

Commentary :

139082 9781910963104

Available on ORBi :

since 11 March 2019

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