CONGESTION MANAGEMENT USING ELECTRIC EEL FORAGING OPTIMIZATION ALGORITHM

Abstract

The primary aim of the congestion management (CM) is to remove congestion in the
transmission system. Normaly, re-dispatching the generator is the regular technique used to deal
with the CM problem. However, finding a suitable algorithm for solving the CM problem is a
challenge for many researchers. Recently, a new bio-inspired meta-heuristic algorithm called
Electric Eel Foraging Optimization (EEFO) was published. This algorithm is proven to be effective
in solving optimization problems by 23 test functions. The effectiveness of the EEFO algorithm in
solving the CM problem has been tested on the IEEE-30 bus system. The simulation results have
shown that the EEFO method achieves optimal solutions and is more stable than the Satin
Bowerbird (SBO) algorithm, swarm optimization algorithm (PSO) and other algorithms.