Our Research on Opposition-based Tunicate Swarm Algorithm for Parameter Optimization of Solar Cells published in IEEE Access.The paper proposes a novel opposition-based tunicate swarm algorithm for parameter estimation of solar cells. The algorithm is developed based on the exploration and exploitation components of the tunicate swarm algorithm. The opposition-based learning mechanism is employed to improve theRead more about Our Research on Parameter Optimization of Solar PV Cells published in IEEE Access[…]

Our research on the framework for capacity expansion planning of the real-word active MCAST microgrid is published in IEEE Access. The paper proposes a realistic framework with the concept “expansion through time” inspired by “Real Options Theory”. The framework includes practical parameters like resource & load uncertainty, physical space required to install, revenue generated byRead more about Our Research on Optimal Capacity Expansion of MCAST Microgrid published in IEEE Access[…]

Our research on the comparative study among the existing low-voltage-ride-through control strategies is published in IEEE Access. The paper provides a critical review on the recent challenges and the associated strategies under LVRT conditions in GCPV inverters. The drawbacks associated with the conventional current control strategies are investigated in simulation environment and each category ofRead more about Our Research on low-voltage-ride-through capability of PV inverters published in IEEE Access[…]