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A new Symmetric Solar Fed Inverter (SSFI) proposed with a reduced number of components compared to the classical, modified, conventional type of Multilevel Inverter (MLI). The objective of this architecture is to design fifteen-level SSFI, this circuit uses a single switch with minimizing harmonics, and Modulation Index (MI) values. Power Quality (PQ) is developed by using the optimization algorithms like as Particle Swarm Optimization (PSO), Genetic algorithm (GA), Modified Firefly Algorithm (MFA). It’s determined to generate the gating pulse and finding optimum firing angle values calculate as per the input of MPP intelligent controller schemes. The proposed circuit is solar fed inverter used for optimization techniques governed by switching controller approach delivers a major task. The comparison is made for different optimization algorithm has significantly reduced the harmonic content by varying the modulation index and switching angle values. SSFI generates low distortion output uses through without any additional filter component through utilizing MATLAB Simulink software (2020a). The SSFI circuit assist Xilinx Spartan 3-AN Filed Program Gate Array (FPGA) tuned by optimization techniques are presented for the effectiveness of the proposed model.

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This paper proposes an electric vehicle charging station (EVCS) network design on urban communities using hybrid technique. The proposed approach consists of Reptile Search Algorithm (RSA) and Honey Badger Algorithm (HBA), which is jointly called as RSA-HBA technique.In this paper, a modeling method is embedded in the proposed technique to control the optimal design and sorts of electric vehicle distribution equipment for community, considering the heterogeneity on demand and driver behaviors.Distance from home, drivers’ arrival patterns, willingness to walk, parking location and traffic on weekdays and weekends are certain important random data parameters deemed under this technique. To asymptotically coverage an optimal solution, hybrid algorithm is used. A hybrid technique is proposed to direct the computational challenges for huge-scale phenomena. A detailed computational experiment is conducted to quantify the performance of the proposed technique. The performance of proposed hybrid system is executed on MATLAB platform and related with various methods.