The renewable energy resources depend on environmental concerns. Photovoltaic (PV) systems are an interesting form of renewable energy resource. The two main problems associated with PV systems are nonuniformity of irradiation and temperature change. PV achieving maximum power point tracking are dependent on power electronics converters. Emissions are a key challenge for the future of conventional renewable energy resources, which play an important role in the generation system. It is crucial in applications and industry because the primary goal of optimization is to discover specific research. We offer using the population of search agents based on fitness, the multi-objective grey wolf optimizer, a more modern meta-heuristic based on the hunting habits and social structure of grey wolves, for optimizing adaptive controllers for failures in grid analysis and power system integration various faults in the grid cause several power quality issues. Harmonics, voltage sag and swell imbalances, and many power conditioning topologies. This was carried out using MATLAB/Simulink, and the results showed a superior and flexible performance in reducing voltage sag and voltage swell problems and imperfections at various loading situations.
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.
Grid integration of renewable energy systems with majority of which is variable dc and variable ac. For example, solar systems output variable dc, while wind systems output variable ac. Power electronics now plays a significant role in the DC and AC conversion required for the grid. Power electronics now allows dc-coupled systems to be controlled for both active and reactive power, making inductively controlled for improving power quality and synchronizing renewable energy systems. The presence of harmonics in electrical systems indicates that current and voltage are distorted and deviate from sinusoidal waves; odd and even harmonics are the result of a nonlinear load. Voltage and sag and swell are examples of power quality issues, as are filters whose primary purpose is to reduce harmonics, voltage, and current in alternating-current power systems to an acceptable level. The maximum power point tracking is based on maintaining temperature and irradiance variables. We use both proposition and Maximum power point tracking (MPPT) to maximize PV power with oscillation tracking. The genetic algorithm with partial swarm optimization (GA-PSO) algorithm based on various optimization control techniques. Control techniques are proposed for systems with various unbalanced voltages to maintain control operation during fault conditions.
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