Open AccessA search group algorithm for optimal power flow in power systems
Author(s) -
Truong Hoang Bao Huy,
Dieu Ngoc Vo
Publication year - 2019
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v20ik9.1672
Subject(s) - electric power system , power flow , mathematical optimization , metaheuristic , computer science , point (geometry) , power (physics) , energy (signal processing) , algorithm , function (biology) , mathematics , physics , geometry , quantum mechanics , statistics , evolutionary biology , biology
Economic operation of the electric energy generating system is one of the common problems in power system. This paper presents a new metaheuristic optimization method, the Search Group Algorithm (SGA) for solving optimal power flow (OPF) problem. The proposed method is tested for 11 different cases on the IEEE 30-bus and IEEE-118 bus systems, in which the IEEE 30-bus system is tested with different objective functions including quadratic function, valve point effects and multiple fuels. The obtained results are compared with some well-known optimization algorithms to emphasize the effectiveness of the SGA method for solving different OPF problems with complicated functions.