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The DC Microgrid sounds familiar in recent days for its independent grid operation and energizing small communities without relying on the central grid. The sudden change in energy demand in the microgrid can negatively impact its performance and operation. Energy management is the only optimal solution to the energy production of microgrids. This article -discusses an economically operated DC microgrid for rural electrification with a tri-port converter based on the radial basis function neural network (RBFNN)-based intelligent control strategy to provide enhanced performance to the microgrid. The advantage of the proposed system is that it provides optimal energy management solutions during dynamic loading conditions and enhances the operation of the microgrid. The outstanding aspect of the proposed system is that it boosts the conversion operation and effectively manages the battery energy storage system to supply energy to the domestic loads and supply power to the grid during excess power generation. In the assessment, the rural regions of Tamilnadu and Andhra Pradesh, India, have been considered to enhance the microgrid setup. The performance evaluation of the proposed system has been conducted and validated using an experimental setup. The assessment also discusses the economic and environmental analysis in using the proposed system. The results support the performance and efficiency of the proposed model.

Distributed electricity resources (DERs) are power generating sources which are installed to meet the increasing peak demand. Renewable and zilch emission characteristics are making them as a perfect choice in distribution system. But the designing of protection scheme for the fruitful operation of distribution system (DS) places a challenging task for power system engineers. As the population of the solar based electrical DERs increase in the electrical DS, the fault current contribution from these resources becomes comparatively less with the fault current from utility substation. In this research commentary, voltage and current based protection algorithm is offered which can accurately detect the fault current from solar in-feed DS. The proposed algorithm is implemented in IEEE 30 bus reference DS. The relay mis-coordination problem is solved by using differential evolution algorithm (DEA). Keywords: Distributed energy resources (DERs), Voltage based time inverse over current relay characteristics, Solar in-feed distribution systems (DS), Differential evolution algorithm (DEA)