Thermal Unit Commitment Using Evolutionary Programming

Abstract

Thermal unit commitment problem (TUCP) is defined as committing an enough units to supply a power to network or a system with respect to load demand optimally. It is mixed-integer non-linear optimization problem subjected to various constraints. Various conventional and random search techniques are applied for the solution of TUCP. In the thesis work, three types of evolutionary programming (EP) techniques i.e. classical evolutionary programming, fast evolutionary programming and improved fast evolutionary programming are employed for the solution of TUCP as EP has more capability of converging to global optimal solution and tested on two unit commitment problem. Results obtained are compared with the results reported in the literature.