Demand Response-Integrated Economic Emission Dispatch Using Improved Remora Optimization Algorithm

Customers of electric utilities that participate in demand response are encouraged to use less energy than they typically do in order to better balance the supply and demand for energy. In this study, demand response is taken into account as a demand resource in the multi-objective optimal economic emission dispatch issue. The optimal schedule of conventional generators with the incorporation of demand response is determined using the improved remora optimization algorithm (IROA), a new technique for optimization inspired by nature. The two distinct objective functions of generation cost and emission are both optimized using the suggested optimization algorithm. The proposed optimization algorithm is investigated on IEEE 118-bus system. The application results are then compared with those obtained using the IROA and other optimization algorithms. The results of the optimization prove that, while adhering to the given limitations, the suggested optimization approach can drastically reduce both the operation cost and emission of the test systems under consideration.