Optimal Rescheduling of Generators to Alleviate Congestion in Transmission System: A Novel Modified Whale Optimization Approach.

This manuscript proposes a novel modified whale optimization algorithm-based solution approach for congestion controlling cost problem in power system framework. The integral objective of the proposed methodology is twofold: firstly, to identify the most sensitive bus in the power system framework using the Bus Sensitivity Factor for optimal positioning of the wind power source that will influence the power flow in the overburden line. Secondly, the selection of the most sensitive generators participating in the power rescheduling process is achieved considering the Generator Sensitivity Factor that are computed based on the congested line power flow status. Further, the proposed MWOA is implemented to achieve the minimum congestion cost with congestion alleviation. The notion of MWOA has been developed with the introduction of two correction factors that enhances the coordination between the exploration and exploitation processes which prevents it from premature convergence and aids in its searching capability towards the global optima. The objective function is subjected to the sequential execution of the proposed optimization technique. The potency of the proposed approach is justified considering the system parameters and constraints for the 39-bus New England test system and IEEE-118 bus system. MATLAB 2016(a) is utilized as the simulation platform. The simulation results obtained with the proposed approach shows a substantial curtailment in the congestion cost, improvement in the system losses and voltages, and provide a better convergence profile when compared to other existing optimization techniques. [ABSTRACT FROM AUTHOR]