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AC/DC hybrid micro grid system (HMGS) is designed with renewable energy sources (RES) and battery energy storage system (BESS) with unique control schemes, interfaced with multi terminal interlinking converters (ILCs). This ILC operates on droop control scheme to guarantee bidirectional power sharing to AC/DC sub grids. The power sources in AC/DC sub grids like PV, Fuel cell, BESS are controlled by advance control methods for maximum power extraction with power quality. A three-level control structure is designed for optimal energy management system (EMS). The first level confirms the power balance in AC/DC sub grid with autonomous bidirectional power transfer via ILC in islanded mode. The second level tracks the batteries state of charge (SoC), based on the minimum and maximum SoC the battery operates for charging and discharging. The third level gives the power redundant capability for critical loads connected in AC/DC sub grid for DC system and single-phase system.

<p>The present trend of integrating renewable energy sources (RES) in AC/DC hybrid micro grid systems (HMGS) has certainly reduced the greenhouse gases and provides the variety of power sources for micro grid (MG). Interlinking converter (ILC) is the main converter for interconnecting AC/DC sub-grids with a variety of features like autonomous bidirectional power sharing, reducing the power conversions in the grid and additionally a featuring aspect for energy management system (EMS). Interlinking converters are desired to maintain stable frequency, constant voltages at buses, reduce the power losses, reduce switching losses and control on circulating currents, most of the control methods could not achieve all. In this paper, the decentralized modified droop control method is presented which is significant in meeting the autonomous bidirectional AC/DC power load demand and in achieving the desired features. A three coordinated model is proposed where AC frequency, ILC power and DC voltage are the corresponding axis. The power sharing through the ILC is dependent on the AC frequency droop and DC voltage droop which occurs due to overloading. This control scheme is compatible for interconnection with multi-port grids. This control schemes provide more reliable, stable and accurate results compare to conventional droop methods.</p>

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In AC/DC hybrid micro grid system (HMGS) power converters are always tested for is performance in distribution, its ability to provide accurate power sharing, transient stability and load dynamics. The existing control methods either complex or limited to achieve optimal power flow. This paper proposes a modified decentralized droop control scheme for interlinking converter (ILC) connected to interconnected AC and DC grids. A three coordinated model is proposed where AC frequency, ILC power and DC voltage are corresponding axis. The power sharing through the ILC is dependent on the AC frequency droop and DC voltage droop which occurs due to overloading. The control scheme is designed for single and three phases ILC. The obtained results are compared with double loop control method which shows less frequency deviations, accurate power sharing. The ILC performs autonomously and transfer power bidirectional under islanded mode. The simulation is carried in MATLAB/Simulink.

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Renewable energy sources like wind and solar will continue to grow in smart power systems through 2050, according to energy predictions. Due to the intermittent nature of these energy sources, using a grid entirely made of renewable resources is extremely unreliable and may result in certain operational problems. It is significantly important in applications and industry since the fundamental purpose of optimization is to find the best practical solution to a particular problem of interest. In this study, we suggest using the multi-objective Grey Wolf Optimizer (MOGWO), a more recent meta-heuristic that draws inspiration from the hunting habits and social structure of grey wolves, to optimize fuzzy controllers for mobile autonomous robots. The integration of storage facilities contributes to the upkeep of system balance Integration of storage facilities contributes to the preservation of system equilibrium. To analyze and discuss the proposed technique based on MOGWO and give simulation results for a two-wheeled autonomous mobile robot.

Edge detection is a fundamental operation in many image and video processing applications. It is used in various fields like industries, aerospace, surveillance, medical fields, traffic monitoring system, lane detection, driverless vehicles, crack detection in roads and several other applications. Most of the edge detection algorithms are software based but in real time applications these are not efficient hence in this paper we have explored about Hardware platform. The reason for selecting Sobel edge detection operator is it incorporates both the edge detection and a smoothing operator to provide good edge detection capability in noisy environment. This design uses Verilog HDL language for design and Vivado is used for simulation.