Application of knowledge engineering techniques to electric power system restoration

Kojima, Yoshiyuki; Warashina, Shigeru; Kato, M.; Watanabe, Hirofumi

doi:10.1109/aiia.1988.13312

Cited by 7 publications

(1 citation statement)

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“…Large-scale power system after the accident has usually affected scope, and power failure time is long, which put forward more severe challenges for the quick recovery of the accident of power system [5][6][7]. Therefore, how to make the system restored after the blackout becomes one of the important problems which each power grid have to faces.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization for Units Start During Power System Restoration

Zhao¹,

Su²,

Bai³

et al. 2013

EPE

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Considering units starting and network constraints and the concept of optimization period, a optimization model which is a typical multi-constraint knapsack problem is established to solve the selection optimization problem of units starting in power system restoration period in this paper, and the objective of the model is to maximize the total power generation capability. A relative effectiveness assessment based on a improving data envelopment analysis is adopted to select the initial units to be started, genetic algorithms are employed to solve the knapsack problem to determine the most reasonable units be started at the current time. Finally, IEEE-39 bus system simulation result proves that the proposed model is feasible and effective.

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Section: Introductionmentioning

confidence: 99%