A new metaheuristic method to solve the dynamic economic and emission dispatch problem while accounting for valve point effects

Thermal power plants, vital for the production of electrical energy, pose challenges due to the emission of harmful gases, contributing to environmental pollution and global warming. To address these issues while ensuring cost-effective operation, the Dynamic Economic Emission Dispatch (DEED) was formulated. This paper addresses Dynamic Economic Emission Dispatch (DEED) problems incorporating varying real transmission losses and considering valve point effects, which make DEED a non -smooth and more complex optimization problem that requires an effective optimization method. The method proposed in this article is new metaheuristic method, inspired by the lifestyle of African vultures. The algorithm is called the African Vultures Optimization Algorithm (AVOA), it is first tested on 36 standard reference functions. (AVOA) was applied to standard 10, and 15 unit test systems to meet 24 -hour load demands. Comparison of the obtained results with other research shows that the proposed method outperforms other methodologies in terms of reduction in fuel cost, emissions, and transmission losses.