Optimal Power Flow Through Hybrid Power System Using Metaheuristic Hybrid Algorithm

The growing population and modernisation in life styles of people increase the demand of electrical power. This has led to pressure on conventional thermal power plants to increase the production of electrical energy by using more and more fossil fuels like coal, petrol, diesel and natural gases, which enhance the emission of greenhouse gases causing environmental pollution. Hence, renewable sources of energy attract the attention of researchers as these can reduce the cost of production, and carbon emissions and has high efficiency. In this study, an IEEE 30- bus hybrid power test system consisting of thermal generators, wind generators and solar photo voltaic have been considered to achieve economically, environmentally as well as physically stable systems. The adopted hybrid power system follows a highly non-linear and complex nature, hence a novel hybrid algorithm named SHADE-SSA is framed to find optimal solutions economically and environmentally with stable voltage deviation and low power loss. The performance of the SHADE-SSA algorithm is compared with the SHADE-SF algorithm and SSA, to confirm the superiority in solving complex, non-linear hybrid power system problems.