Dynamic Combined Economic Emission Dispatch in Renewable Energy Microgrids Using Zebra Optimization Algorithm

Abstract

The increasing demand for energy necessitates the implementation of sustainable solutions that incorporate renewable energy sources (RES), specifically solar and wind.  Nevertheless, the inherent variability of renewable energy sources (RES) presents a challenge in the optimization of power dispatch, particularly in islanded microgrids. The Combined Economic Emission Dispatch (CEED) problem in a three-unit operational system under dynamic load demand conditions is the subject of this study.  Four scenarios are taken into account for the operation of the system such as Thermal-only; Thermal + Wind; Thermal + PV; and Thermal + Wind + PV.  In order to guarantee system reliability and reduce both generation cost and emissions, a weighted sum approach is implemented in conjunction with the Zebra Optimization Algorithm (ZOA). This work had done using the MATLAB 2020 software. The proposed method effectively manages constraints such as ramp rate limits and thermal unit operating boundaries, demonstrating enhanced efficiency and adaptability in comparison to traditional techniques.