Gravitational Search Algorithm for Solving Equal Combined Dynamic Economic-Emission Dispatch Problems in Presence of Renewable Energy Sources

This paper proposes an optimal solution to design a significant Equal Combined Dynamic Economic and Emission Dispatch (ECDEED), considering the fuel cost and environmental benefits in presence of renewable energy sources (RESs). A comparative optimization issue is presented given the best compromise of the employed objective functions. The Gravitational Search Algorithm (GSA) was used as optimization tool to solve the nonlinear programming problem, taking into account the best compromise between the Dynamic Economic Dispatch (D-EcD) and gas Emission Dispatch (EmD). Several case studies have been addressed, where the simulation was performed firstly over three units power system, then the study was extended by simulating various scenarios using the IEEE 13 units test system including renewable energies sources. The obtained results confirm the robustness and validity of the proposed methodology through a comparative study over other published approaches.