A Novel World Horse Optimizer Algorithm for Rescheduling based Congestion Management

Abstract

In a power system, Congestion Management is considered a demanding task because of maximizing the complexities of the system in a deregulated environment. The congestion reasons severe damage to modules of the power system if outages lead to take place additional regularly. Therefore, Congestion Management is a complicated task for an Independent System Operator (ISO) in the present case of the power system. This paper presents a proposal for a new optimization-based Congestion Management approach with a developed soft computing model. In this work, a novel hybrid approach is developed that clearly optimizes the power of the augmented generator with a bus system. Thus, the congestion is managed with a reduced cost of rescheduling. The adopted optimization approach is called Wild Horse Optimizer (WHO). Then, the simulation is performed on two test bus systems such as IEEE 14 as well as 30 bus systems. The adopted approach performance is evaluated with conventional techniques regarding the cost analysis.