Improved Shuffled Jaya Algorithm: Advancement of LVRT Capacity of PV-Array using MPPT Algorithm

Advancement of LVRT Capacity of PV-Array using MPPT Algorithm


  • Fatema Murshid AlBalushi Department of Logistics and Transport Management, International Maritime College Oman, Suhar OM, 332, Oman


Control System, LVRT, MPPT, RMSE, Wind Turbine


Wind Turbine (WT) has become an acceptable replacement for electricity production by enormous financial and environmental compensations by fossil or nuclear power plants. Nowadays various researchers are working in this field to propose the WT performance to the Doubly Fed Induction Generator (DFIG)- Low Voltage Ride Through (LVRT) system with maximum increase as well as flexibility. In order to conquer the characteristics of non-linearity of WT, exploiting Maximum Power Point Tracking (MPPT) algorithm, the PV array is operated which is involved beside with the WT to enhance system performance. For the DFIG-LVRT system, this work proposes to experiment with the Control System (CS) which plays an important role in the experimentation of controllers to correct error signals. In this research, a new algorithm named Improved Shuffled Jaya Algorithm (IS-JA) by means of fuzzified error model to experiment optimized CS. Moreover, it differentiates the proposed model-based LVRT system by means of the conventional LVRT system as well as system by means of the least increase, utmost increase. Furthermore, the developed model is evaluated concerning the conventional models, and it also states that the results in terms of the quantitative analysis. In addition, quantitative analysis is carried out which presents the estimation of Root Mean Sqaure Error (RMSE) with altering speed. Hence, the proposed model is shown that its performance is better than conventional models.


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How to Cite

Fatema Murshid AlBalushi. (2021). Improved Shuffled Jaya Algorithm: Advancement of LVRT Capacity of PV-Array using MPPT Algorithm: Advancement of LVRT Capacity of PV-Array using MPPT Algorithm. Journal of Computational Mechanics, Power System and Control, 4(3). Retrieved from