A new approach to generation scheduling in interconnected power systems using predictor-corrector proximal multiplier method

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초록

The purpose of this paper is to elaborate a new generation scheduling algorithm in the interconnected power systems. Typically, the generation scheduling problem as a mixed integer non-linear programming can be effectively solved by the generalized Benders decomposition technique which decouples an original problem into the master problem and subproblems to tremendously allow fast and accurate solutions of large-scale problems. In order to formulate efficient inter-temporal optimal power flow (OPF) subproblems, we will explore a regional decomposition framework based on predictor-corrector proximal multiplier method. In fact, this scheme can find the most economic generation schedules under the power transactions for a multi-utility system without the exchange of each utility's own private information and major disruption to existing economic dispatch or OPF adopted by individual utilities.

키워드

Benders decomposition; Distributed optimal power flow; Generation scheduling; Interconnected power system; Mixed integer non-linear programming; Predictor-corrector proximal multiplier method; AUGMENTED LAGRANGIAN-RELAXATION; UNIT COMMITMENT; TRANSMISSION; DECOMPOSITION; CONSTRAINTS
제목
A new approach to generation scheduling in interconnected power systems using predictor-corrector proximal multiplier method
저자
Chung, K. H.; Kim, B. H.; Hur, D.
DOI
10.1007/s00202-012-0235-9
발행일
2012-09
유형
Article
저널명
Electrical Engineering
권
94
호
3
페이지
177 ~ 186