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Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
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Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
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Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
Journal Article

Power enhancement in distributed system to control the bidirectional power flow in electric vehicle

2024
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Overview
Bidirectional power flow based smart grid system is implemented in the Distributed Generation (DG) sources using Renewable Energy Generators (REG) like solar, wind, etc. Moreover, the unsuitable connection of a load to a grid and DGs can reduce Power Quality (PQ) and bidirectional power flow. Consequently, the existing power generation system has a limited number of power-generation sources, which are linked as millions of end consumers as well as transmission grid. Also, power generation sources has small controller performance over power loss from producing plants to end customers. Moreover, the power-generation sources are having injection points to transfer the power. In the current and future conditions, power systems must accommodate more power from renewable energy sources, be capable of handling bidirectional power flow with distributed generation, and use automatic metering infrastructure, phasor measurement units, power quality conditioners, electric vehicle charging infrastructure, cyber security, and so on.In recent times, the renewable energy-based distribution system is a challenging task in the Battery Energy Storage System (BESS). However, in many cases, power loss, and harmonic moderation are significant issues. Hence in this research, a novel Intelligent Neural Herd Based Water Drop Optimization (INH-WDO) is proposed to control the bidirectional power flow of the converter. The simulation of these proposed methods is actualized in MATLAB platform; subsequently, the projected performance results such as power loss (0.2MV), THD (2.5%) are compared with existing control techniques for proving the significance of the developed controller design. Moreover, the system efficiency in terms of power quality is based on power loss minimization while reducing the Total Harmonic Distortion (THD).