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        Solar PV and Wind Energy Based Reconfigurable Microgrid for Optimal Load Dispatch

        Varghese Lijo Jacob,Arun Kumar U.,Sunitha D. 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

        Distribution generation (DG), energy storage systems (ESS), distributed reactive sources (DRS), and resilient loads that may operate in both linked and isolated modes form the microgrid (MG). Unpredictable and variable DGs, like as renewable energy sources like wind and photovoltaic systems, are especially difficult for MG planners to make judgments on (PVES). This work provides a rigorous hybrid optimization approach for designing reconfigurable MGs to tackle technological and economic uncertainty. The suggested technique leverages the moth flame optimization (MFO) algorithm paired with a heuristic fuzzy for optimum DG positioning and reconfiguration, manufacturing costs, and loss avoidance. This hybrid algorithm improves electricity quality, increases customer savings, and benefits the distributed system operators (DSO). The MFO algorithm is used to optimize and reorganize DG sites, and the fuzzy technique is utilized to deal with multi-objective problems, all to reduce microgrid expenses like emission costs and the supply of reliable energy. Using the supplied technique to address three distinct situations helps DSO choose the appropriate structures. For testing, a 33-bus IEEE RDS microgrid is employed. Validation is done utilizing a 24-h daily load pattern and 24-h typical load dispatching behavior for both WES and PVES to ensure reliability. Studies show micro grids outperform present structures.

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        Development of Symmetrical Fault Detection During Power Swing Based on Entropy

        Devi R.,Kirthika A.,Divya Priyadharshini M.,Ladha Akash,Anju A.,Rajesh Kumar T.,Ganesh Prabhu S.,Varghese Lijo Jacob,Santhosh P. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3

        This paper proposes the new technique for detecting symmetrical faults occurred during power swing. The proposed technique is simulated for the protection of two machine system, distribution system with distributed generation and WSCC 9-bus system in Matlab. Symmetrical fault detection during power swing is a critical issue. Hence, in this paper, modifi ed weighted wavelet packet entropy technique is proposed to detect symmetrical fault during power swing. This entropy criterion is applied to wavelet packet coeffi cients to enhance the energy of fault signals and to reduce the vector size of the wavelet packet transform coeffi cients. This technique provides better results irrespective of various fault locations, fault inception angle and power swing frequencies. This technique is compared with conventional scheme and the results are tabulated. Moreover, this technique is also able to detect asymmetrical faults with high impedance during power swing. Mathematical derivation support system performance through simulation.

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