Distributed implementation of generation scheduling algorithm on interconnected power systems

Citations

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초록

The emphasis in this paper is on investigating a new generation scheduling algorithm for the interconnected power systems. In general, the generation scheduling problem formulated as a mixed integer nonlinear programming (MINLP) can be efficiently computed by the generalized Benders decomposition (GBD) technique which decouples an original problem into the master problem and subproblems to allow remarkably fast and accurate solutions of very large problems. In order to ferret out efficient inter-temporal optimal power flow subproblems, we will propose a regional decomposition framework based on auxiliary problem principle (APP). Obviously, this scheme can find the most economic dispatch (ED) schedule under the power transactions for a multi-utility system without the exchange of each utility's own private information and major disruption to existing ED or optimal power flow (OPF) constructed by individual utilities. (C) 2010 Elsevier Ltd. All rights reserved.

키워드

Auxiliary problem principle; Benders decomposition; Distributed optimal power flow; Economic dispatch; Generation scheduling; Interconnected power system; Mixed integer nonlinear programming; Unit commitment; AUGMENTED LAGRANGIAN-RELAXATION; AUXILIARY PROBLEM PRINCIPLE; UNIT COMMITMENT; DECOMPOSITION; TRANSMISSION; OPTIMIZATION; CONSTRAINTS; FLOW
제목
Distributed implementation of generation scheduling algorithm on interconnected power systems
저자
Chung, K. H.; Kim, B. H.; Hur, D.
DOI
10.1016/j.enconman.2010.10.006
발행일
2011-11
유형
Article
저널명
Energy Conversion and Management
권
52
호
12
페이지
3457 ~ 3464