Open AccessHybrid method for solving the non smooth cost function economic dispatch problem
Author(s) -
Wanchai Khamsen,
Chiraphon Takeang,
Patiphat Aunban
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i1.pp609-616
Subject(s) - economic dispatch , firefly algorithm , cuckoo search , mathematical optimization , particle swarm optimization , computer science , matlab , bat algorithm , generator (circuit theory) , artificial bee colony algorithm , power (physics) , electric power system , algorithm , mathematics , physics , quantum mechanics , operating system
This article is focused on hybrid method for solving the non-smooth cost function economic dispatch problem. The techniques were divided into two parts according to: the incremental cost rates are used to find the initial solution and bee colony optimization is used to find the optimal solution. The constraints of economic dispatch are power losses, load demand and practical operation constraints of generators. To verify the performance of the proposed algorithm, it is operated by the simulation on the MATLAB program and tests three case studies; three, six and thirteen generator units which compared to particle swarm optimization, cuckoo search algorithm, bat algorithm, firefly algorithm and bee colony optimization. The results show that the proposed algorithm is able to obtain higher quality solution efficiently than the others methods.