In these paper, Optimum design of PID Controller for Hybrid Wind/PV system is demonstrated considering the meteorological Data of solar radiation and wind speed from NASA surface and solar energy database of Hospet has been taken (latitude  15.54°N and longitude 74.48°E).Around 160 family or approx. 1 village community electricity consumption data has been taken thereby using the HOMER Software simulation has been carried out to find the Best Hybrid system in Hospet comparing the economic advantages like cost, payback period and other economic factors.It finds that Cost Reduction is around 70% compared to Conventional Energy source.But due to Non-linear Power generation and Load side variation, usage of Hybrid power system became very less. So, In order to avoid the above, we came up with Energy Management system(EMS), where the PID Parameters are used for controlling the EMS charging and discharging. Here the PID Controller is tuned through different Evolutionary Algorithm approaches like Genetic Algorithm(GA), Hyper-Spherical Search(HSS), Flower Pollination Algorithm(FPA) and Particle Swarm Optimization(PSO).Hybrid System like Wind/PV is modeled in Simulink and algorithms is implemented in Matlab. Finally, all the above algorithms are computed based on Objective Function Value, Rise time, Settling time and Overshoot and it is validated that HSS algorithm is best compared to all other algorithms.