Integration Wind Turbine Distributed Generators in Radial Distribution Networks Using Eel and Grouper Optimizer

The demand for electrical energy is steadily increasing, which leads to more environmental pollution and an increase in the cost of energy production by relying on traditional energy sources. Therefore, it has become imperative for decision makers to provide alternative energy sources that are environmentally friendly and low cost in the long term. Therefore, natural resources such as wind energy can be harnessed to generate electricity. This paper presents a modern optimization method namely eel and grouper optimizer (EGO), it is applied to determine the optimal placement and sizing of wind turbine distribution generator (WT-DG) with optimal power factor. The EGO algorithm has been implemented on the standard IEEE 69 BUS and the practical IRAQI 71 BUS, while the Weibull probability distribution function (WPDF) is implemented to model the uncertainty of wind speed. Furthermore, to demonstrate the significance of the results obtained and to verify the effectiveness and efficiency of the EGO method, a comparison was made with the results of previous literature, in addition to comparing it with salp swarm algorithm (SSA). On the other hand, the overall performance of the radial distribution networks (RDN) was improved after integrating the optimal location and capacity of WT-DG into the RDN; the voltage profile and VSI level of all buses were maximized, while the active and reactive power losses of all lines were reduced.