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Young Moon Park

Researcher at Seoul National University

Publications -  22
Citations -  559

Young Moon Park is an academic researcher from Seoul National University. The author has contributed to research in topics: Electric power system & Control theory. The author has an hindex of 9, co-authored 22 publications receiving 526 citations. Previous affiliations of Young Moon Park include University of Houston.

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Optimal real and reactive power control using linear programming

TL;DR: In this article, an improved real and reactive power control technique using linear programming (LP) for an integrated power system is developed, where the real power generation, voltage magnitude, and transformer tap settings are optimized using a unified approach.
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A logic based expert system (LBES) for fault diagnosis of power system

TL;DR: Off-line inference is possible by off-line identification of PIs, which reduces the on- line inference time considerably and makes it possible to utilize the proposed expert system in real-time environment.
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High impedance fault detection utilizing incremental variance of normalized even order harmonic power

TL;DR: In this paper, a novel method for the detection of high-impedance faults is proposed which uses the incremental variance of a normalized even order ratio measure, based on which three criteria, (even-order power, even-order ratio, and evenorder incremental variance) for fault detection are presented, all of which are based on the changes of normalized evenorder harmonic power in fault currents.
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Optimal real and reactive power dispatch

TL;DR: In this paper, a method for optimal real and reactive power dispatch for the economic operation of power systems is presented, where the problem is decomposed into a P-optimization module and a Q-optimisation module, but in this method both modules use the same generation cost objective function.
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Optimal decentralized load frequency control

TL;DR: In this paper, a new approach for optimal decentralized load frequency control of a multi-area interconnected power system is presented, which includes the optimal design of a decentralized load-frequency controller, an observer for unmeasurable local states and load disturbances, and a quadratic estimator for tie-line power flow information transmitted at intervals.