Grid interactive solar photovoltaic (PV) and electric vehicle (EV) systems are the emerging technologies nowadays, mainly due to energy cost reduction and minimization of emission levels. Various research surveys have presented the effect of grid integration of PVs and EVs in an isolated way. However, it is worth accepting that with the continuous emergence of PVs and EVs, the power grid is experiencing the combined effect of PV–EV integration. The distribution system network of EVs impacts the power quality of the grid. In this paper, shunt active power filter is modelled using neuro-fuzzy control technique for the mitigation of harmonics using MATLAB. The improvement in the system performance is analyzed and compared with the traditional compensation techniques.

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Parallel Hybrid Electric Vehicle (PHEV) offer a economical fuel-efficient and less-cost effect, are one amongst the effective solutions to the world’s energy crisis and high pollution of vehicles. Here we mainly uses the Particle Swarm Optimization (PSO) algorithm in creating limits on appropriate management strategies. We simulated a compatible electric car, used a consultant for a simulation purpose and driving cycle to monitor fuel consumption (FC), power output and vehicle energy. The repetition value is set to 60, the inertial weight is put to 0.6, the size of the mass is set to 5. Compared to MATLAB’s for defining HEV similarity results, it proves that the PSO is a powerful design tool for the HEV control & organizing system. The proposed approach will reduce fuel consumption and decreases the pollution without changing & compromising with the vehicle performance.

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