Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems

Heung-Jae Lee, Seong-Su Jhang, Won-Kun Yu and Jung-Hyun Oh
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Heung-Jae Lee: Department of Electric Engineering, Kwangwoon University, 20, Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea
Seong-Su Jhang: Department of Electric Engineering, Kwangwoon University, 20, Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea
Won-Kun Yu: Department of Electric Engineering, Seoil University, 90-28, Yongmasan-ro, Jungnang-gu, Seoul 02192, Korea
Jung-Hyun Oh: School of Robot, Kwangwoon University, 20, Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea

Energies, 2019, vol. 12, issue 17, 1-13

Abstract: This paper proposed an ANN (Artificial Neural Network) controller to damp out inter-area oscillation of a power system using BESS (Battery Energy Storage System). The conventional lead-lag controller-based PSSs (Power System Stabilizer) have been designed using linear models usually linearized at heavy load conditions. This paper proposes a non-linear ANN based BESS controller as the ANN can emulate nonlinear dynamics. To prove the performance of this nonlinear PSS, two linear PSS are introduced at first which are linearized at the heavy load and light load conditions, respectively. It is then verified that each controller can damp out inter-area oscillations at its own condition but not satisfactorily at the other condition. Finally, an ANN controller, that learned the dynamics of these two controllers, is proposed. Case studies are performed using PSCAD/EMTDC and MATLAB. As a result, the proposed ANN PSS shows a promising robust nonlinear performance.

Keywords: inter-area oscillation; artificial neural network; BESS; PSCAD/EMTDC; MATLAB (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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