Solving Economic Emission Dispatch with integrated Thermal-Solar and Battery Power Using Enhanced Modified Sooty Tern Optimization Algorithm

In the present scenario, where the load demand is increasing with time due to modern lifestyle and growing industries, it is very difficult to satisfy the power demand only based on conventional power plants. In this paper, the author proposes the integration of renewable energy sources, such as solar and battery, into conventional thermal power plants. The aim is not only to meet power demand but also to minimize generation costs and protect the environment by reducing fuel emissions. A new nature-inspired technique known as the modified sooty tern optimization algorithm (MSTOA) is employed to solve the economic emission dispatch with integrated solar, battery, and thermal power plants. A test system, comprising six thermal generators with two solar power units and one equivalent battery power unit, is analyzed in this article. Generation limits, fuel emission, and valve point loading are also considered for precise and effective power distribution.