Open AccessEconomic and Emission Dispatch Problems Using a New Hybrid Algorithm
Author(s) -
M. Younes,
Fouad Khodja,
Riad Lakhdar Kherfene
Publication year - 2021
Publication title -
international journal of systems applications, engineering and development
Language(s) - English
Resource type - Journals
ISSN - 2074-1308
DOI - 10.46300/91015.2021.15.4
Subject(s) - economic dispatch , harmony search , mathematical optimization , greenhouse gas , optimization problem , computer science , electric power system , algorithm , power (physics) , mathematics , ecology , physics , quantum mechanics , biology
Environmental legislation, with its increasing pressure on the energy sector to control greenhouse gases, is a driving force to reduce CO2 emissions, forced the power system operators to consider the emission problem as a consequential matter beside the economic problems, so the economic power dispatch problem has become a multi-objective optimization problem. This paper sets up an new hybrid algorithm combined in two algorithm, the harmony search algorithm and ant colony optimization (HSA-ACO), to solve the optimization with combined economic emission dispatch. This problem has been formulated as a multi-objective problem by considering both economy and emission simultaneously. The feasibility of the proposed approach was tested on 3-unit and 6-unit systems. The simulation results show that the proposed algorithm gives comparatively better operational fuel cost and emission in less computational time compared to other optimization techniques.