An approach to attain a balanced trade-off solution for dynamic economic emission dispatch problem on a microgrid system

Electricity generation involves the release of hazardous gases into the environment by fossil-fueled generators. Along with promoting the renewable energy sources, power engineers must come up with a compromise solution that results in reduced harmful gas emissions when electricity is generated economically. The goal of this paper is to structure a balanced trade-off approach for solving the problem of environment constrained economic dispatch (ECED).novel comparison of the proposed ECED method, existing price-penalty-factor (PPF), and fractional programming (FP) methods for solving CEED problems is carried out on a dynamic 3-unit test system to evaluate which technique provides a healthier trade-off solution in terms of cost as well as toxic gases emitted. By combining the greedy JAYA algorithm with an algorithm based on a crow’s food seeking approach, a robust hybrid algorithm is developed that used as the optimization tool. When comparing the suggested ECED technique to the PPF and FP based CEED solutions, the amount of released pollutants and generating cost were considerably nearer to the emission dispatch and economic dispatch respectively. Furthermore, statistical research backs up the suggested hybrid optimizer’s superiority over existing algorithms in the literature.