Advanced Optimization Techniques for Electric Vehicle integrated Solar-Hydro-Thermal Systems

In order to address the environmental concerns, renewable energy has always been quite beneficial in lowering emissions and cutting generation costs. However, renewable sources are unpredictable, erratic and volatile. So, its large proportional integration poses risks to the secure and dependable use of electricity. However, one of the main sources of extreme pollution is fossil fuels. To overcome all drawbacks, EV is considered and virtual power plant (VPP) concept of EV have been integrated with SHT (Solar, Hydro, Thermal) System. The objective is to reduce generation cost by fulfilling transmission losses and load demand while satisfying all constraints. In this research, advanced moth flame optimization technique (MFO) has been applied to Electric Vehicle (EV) integrated SHT Systems for cost minimization.