2021
DOI: 10.11591/ijpeds.v12.i4.pp2182-2190
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Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Abstract: <span lang="EN-US">This paper is interested to study power system stability in smart grid power system using wind characteristic in south of Yogyakarta, Indonesia. To overcome the intermittent of wind characteristics, this paper presents adaptive robust control design to enhance power system stabilization. The online identification system is used in this research, which updated whenever the estimated model mismatch exceeds predetermined bounds. Then genetic algorithm (GA) is applied to re-tune parameters… Show more

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Cited by 2 publications
(2 citation statements)
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“…The electrical losses in the internal grid are limited to 2.3% of the total energy over a given period (1). The voltage drops must not exceed certain values respectively 3% [9], 5% and 8% for LV, MV and HV [10].…”
Section: Technical Constraintsmentioning
confidence: 99%
“…The electrical losses in the internal grid are limited to 2.3% of the total energy over a given period (1). The voltage drops must not exceed certain values respectively 3% [9], 5% and 8% for LV, MV and HV [10].…”
Section: Technical Constraintsmentioning
confidence: 99%
“…However, due to the linearity of statistical approaches, they cannot correctly predict nonlinear and nonstationary wind energy [8]. Physical prediction approaches like numerical weather prediction (NWP) methods, when the environment is constant, they show high precision in long-range forecasting [9], [10]. Nevertheless, the computational complexity of the accuracy of these models is greatly increased by the complex information requirements of the atmosphere [11].…”
Section: Introductionmentioning
confidence: 99%