Transmission line congestion management using hybrid water cycle moth flame optimization

Abstract

The worldwide electrical market’s restructuring over the past few decades has made network congestion inescapable. Congestion in the power system network jeopardizes the power industry’s security, reliability, and economics. Congestion management has thus become one of the most important tasks for system operators in deregulated power markets. Using the hybrid water cycle moth flame optimization (WCMFO) algorithm, this research proposes a method for controlling transmission line congestion in the deregulated power system. This research explores generator rescheduling-based congestion control in the centralized power market model. Newton–Raphson load flow is used to keep all the network constraints within their upper and lower bounds. Congestion cost minimization is the main goal of the proposed congestion management (CM) problem; however, when there is no congestion in the system, the goal shifts to minimization of the total expense of generation, and this instance is taken into consideration as a point of reference when resolving the issue in congested states. For various scenarios of congestion driven by a transmission line failure along with an increase in load in the conventional IEEE 30 bus test system, the congestion-control issue is resolved using the WCMFO algorithm in Matlab software. Simulation tests and data analysis demonstrate that the suggested approach is capable of determining the minimal congestion cost by successfully removing system congestion.