Determining the distribution of decentralized economic power in the transmission system with the help of gray wolf and wild horse algorithms

Economic dispoatch in the operation of modern power systems is of great importance. The economic load dispatch, taking into account all constraints, needs to be allocated among different multi-area generators. Economically distributing the load in multi-area economic dispatch (MAED) can simultaneously satisfy multiple constraints. In this regard, the use of algorithms can be helpful. This study aimed to determine the decentralized economic power dispatch in the transmission system using Grey Wolf Optimization (GWO) and Wild Horse Optimization (WHO) algorithms. In this study, a combination of GWO and WHO algorithms, aided by a fuzzy logic system, was employed in MATLAB software to obtain the optimal power generation schedule for a 24-hour period in the presence of HVDC and HVAC transmission lines. The results of this study on the IEEE 118 BUS network demonstrated that the GWO and WHO algorithms, considering point load, achieved satisfactory results in reducing losses and generation costs. Therefore, the use of these algorithms is recommended for improving decentralized economic power dispatch in the transmission system.