Modified Cuckoo Search Algorithm for Solving Nonconvex Economic Load Dispatch Problems
Thang Trung Nguyen, Dieu Ngoc Vo, Bach Dinhhoang, Ly Huu Pham
DOI: 10.15598/aeee.v14i3.1633
Abstract
This paper presents the application of modified cuckoo search algorithm (MCSA) for solving economic load dispatch (ELD) problems. The MCSA method is developed to improve the search ability and solution quality of the conventional CSA method. In the MCSA, the evaluation of eggs has divided the initial eggs into two groups, the top egg group with good quality and the abandoned group with worse quality. Moreover, the value of the updated step size in MCSA is adapted as generating a new solution for the abandoned group and the top group via the Levy flights so that a large zone is searched at the beginning and a local zone is foraged as the maximum number of iterations is nearly reached. The MCSA method has been tested on different systems with different characteristics of thermal units and constraints. The result comparison with other methods in the literature has indicated that the MCSA method can be a powerful method for solving the ELD.