CRITICAL CLEARING TIME ASSESSMENT IN THE OFF-LINE TRANSIENT STABILITY STUDIES USING NEURAL NETWORK WITH ENERGY FUNCTIONS-BASED INPUTS

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KARBALAEI FARID; SHABANI HAMID REZA; EBRAHIMPOUR REZA

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Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2016 | Volume:46 | Issue:1 (75) Page(s): 276-285

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Title

CRITICAL CLEARING TIME ASSESSMENT IN THE OFF-LINE TRANSIENT STABILITY STUDIES USING NEURAL NETWORK WITH ENERGY FUNCTIONS-BASED INPUTS

Author(s)

KARBALAEI FARID | SHABANI HAMID REZA | EBRAHIMPOUR REZA | Issue Writer Certificate

Keywords

CRITICAL CLEARING TIMEQ1

CRITICAL ENERGYQ2

POTENTIAL ENERGY BOUNDARY SURFACEQ2

UNSTABLE EQUILIBRIUM POINTQ2

KINETIC ENERGYQ2

MULTI-LAYER PERCEPTRONQ3

Abstract

One of the important subjects in the dynamic security of large power systems is transient stability assessment for a set of probable disturbances. Due to changing system conditions, the CRITICAL CLEARING TIME calculation must be performed sequentially and in short time intervals. Although the computation is performed off-line, quick and accurate methods are needed because the computation amount is high and it must be repeated in short time intervals. In this paper a neural network is used to obtain an accurate estimation of the CRITICAL CLEARING TIME. The neural network inputs are minimal KINETIC ENERGY, CRITICAL ENERGY and the slope of minimal KINETIC ENERGY curve. They are obtained using only one time simulation. The proposed method has been simulated on 9 and 39 - bus test systems. The results show that the designed neural network accurately estimates the CRITICAL CLEARING TIME.

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APA: Copy

KARBALAEI, FARID, SHABANI, HAMID REZA, & EBRAHIMPOUR, REZA. (2016). CRITICAL CLEARING TIME ASSESSMENT IN THE OFF-LINE TRANSIENT STABILITY STUDIES USING NEURAL NETWORK WITH ENERGY FUNCTIONS-BASED INPUTS. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(1 (75)), 276-285. SID. https://sid.ir/paper/256588/en

Vancouver: Copy

KARBALAEI FARID, SHABANI HAMID REZA, EBRAHIMPOUR REZA. CRITICAL CLEARING TIME ASSESSMENT IN THE OFF-LINE TRANSIENT STABILITY STUDIES USING NEURAL NETWORK WITH ENERGY FUNCTIONS-BASED INPUTS. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(1 (75)):276-285. Available from: https://sid.ir/paper/256588/en

IEEE: Copy

FARID KARBALAEI, HAMID REZA SHABANI, and REZA EBRAHIMPOUR, “CRITICAL CLEARING TIME ASSESSMENT IN THE OFF-LINE TRANSIENT STABILITY STUDIES USING NEURAL NETWORK WITH ENERGY FUNCTIONS-BASED INPUTS,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 1 (75), pp. 276–285, 2016, [Online]. Available: https://sid.ir/paper/256588/en

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