The overall objective of this study is to control and optimize algorithms adapted to the management of new-generation electricity networks. When electro-energy systems are used to strategically allocate the energy produced by all power stations, the problem of economic distribution of energy is particularly important. The crow search algorithm (CSA), which serves as the local optimizer of the Eagle strategy (ES), is used in this research study to handle the issue of economic dispatch in a ten units SG (smart grid). The outcomes of the ES-CSA program differ from those reported in the literature. The simulations’ findings show that ES-CSA may be used to provide energy that is dependable and sufficient to meet the needs of the civil and industrial sectors.