OPTIMIZATION OF FUEL COST INCORPORATING WITH WIND, SOLAR PV AND ELECTRIC VEHICLE ENERGY SOURCES USING IMPROVED ARTIFICIAL BEE COLONY ALGORITHM

Today entire world is witnessing the root causes of global warming and greenhouse gas effects. The problem has been raised because of excessive use of fossil fuel in energy generation as well as in transportation sector. But over the last two decades the contribution of renewable energy sources increases vary rapidly and new energy sources like electric vehicle to grid becoming more popular. The various algorisms are used to achieve the Optimal Power Flow (OPF) without violating constraints. In this paper an improved guided Artificial Bee Colony (IABC) is used to solve the objective function for minimization of fuel cost and emission in presence of conventional thermal power and wind power, PV system and Electric Hybrid Vehicles (EVs). The results are tested on modified IEEE 30 bus test system and compared with results of available published paper.