Solving bi-objective short-term cascaded hydrothermal scheduling problem using modified cuckoo search algorithm

Abstract

This paper presents a modified cuckoo search algorithm (MCSA) for solving bi-objective short-term cascaded hydrothermal scheduling (BO-STCHTS) problem. The objective of the problem is to determine the optimal operation for thermal plants and a cascaded reservoir system while satisfying all constraints including electrical constraints of both hydro and thermal plants and hydraulic constraints of reservoirs so that the total generation of fuel cost and pollutant emission from thermal power plants are minimized. The MCSA has been developed by modifying the search strategy via Lévy flights to improve the performance of the conventional cuckoo search algorithm for solving the problem. The result comparison from a test system with nonconvex fuel cost function and cascaded reservoir between the proposed MCSA and other methods in the literature has shown that the MCSA is very efficient for the BO-STCHTS problem. Therefore, the proposed NCSA can be a efficient method for solving the nonconvex BO-STCHTS problem.