The optimal solution for unit commitment problem using binary hybrid grey wolf optimizer

Abstract

The aim of this work is to solve the unit commitment (UC) problem in power systems by calculating minimum production cost for the power generation and finding the best distribution of the generation among the units (units scheduling) using binary grey wolf optimizer based on particle swarm optimization (BGWOPSO) algorithm. The minimum production cost calculating is based on using the quadratic programming method and represents the global solution that must be arriving by the BGWOPSO algorithm then appearing units status (on or off). The suggested method was applied on “39 bus IEEE test systems”, the simulation results show the effectiveness of the suggested method over other algorithms in terms of minimizing of production cost and suggesting excellent scheduling of units.

Performance enhancement of large-scale linear dynamic MIMO systems using GWO-PID controller

“…GWO method gained much attention in the research community and has become a dependable alternative strategy in comparison to conventional optimization owing to its mechanism characterized by simplicity, flexibility, high robustness and rapid convergence. Additionally, demands fewer factors for setting and a small operator in comparison to other evolutionary methods, and a fast computing process [29]- [32]. Although several reduction techniques were studied for LS-MIMOL to improve its response in terms of stability and reliability, high robustness is still required for such complex systems.…”