An adaptive method for improving the dynamic performance of two area power system using CS based neural network

J. Jeha and S. Charles Raja

International Journal of Manufacturing Technology and Management, 2021, vol. 35, issue 2, 155-179

Abstract: An adaptive method is the cuckoo search (CS) algorithm between neural networks (NN) are burdened to enhance the steadiness of the summarised two region power scheme illustration and assessed the power producer reactance and inactivity in the transmission demonstration. The originality of the predictable system is to assess and preserve the inter region energetic constraint of radial, two apparatus shortened apparatus power system illustration with the help of transactional energetic voltage and current constraint regulator. At this time the voltage regulator alike to TCSC device is engaged to accomplish the voltage constraint and feat the bus voltage phasor information at many buses along with the voltage manage bus and the currents on the power transmission demonstration. The anticipated method is affianced with the help of the TCSC for comforting the voltage and disrespects the blooper signal in the system, the three step blunder signal is beneficial in the two region power system. Subsequently, the anticipated procedure is implemented in MATLAB/Simulink functioning platform and also the productivity performance is assessed and compared with the prevailing methods like deficient of FACTS devices, with FACTS devices, three phase blunder condition, GA together with TCSC and ABC with TCSC congruently.

Keywords: two machine reduced model; dynamic parameters; voltage and current parameters; thyristor controlled series capacitor; TCSC; CS algorithm; NN technique; reactance and inertias. (search for similar items in EconPapers)
Date: 2021
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