Environmental Economic Dispatch Using Stochastic Fractal Search Algorithm

today, the issue of environmental protection is being urgently set. To ensure environmental factors and economic efficiency in the context which fossil energy resources are increasingly scarce, the control of fuel costs and emission costs are crucial factors in ensuring and increase profits of power...

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Bibliographic Details
Published in2021 International Symposium on Electrical and Electronics Engineering (ISEE) pp. 214 - 219
Main Authors Van Hong, Thang Phan, Ngoc, Dieu Vo, Dang Tuan, Khanh
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.04.2021
Subjects
diffusion process
Economic dispatch
emission dispatch
environmental economic
Environmental economics
Fractals
Fuels
Generators
Linear programming
Power systems
Search problems
stochastic fractal search algorithm
updating process
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Summary:today, the issue of environmental protection is being urgently set. To ensure environmental factors and economic efficiency in the context which fossil energy resources are increasingly scarce, the control of fuel costs and emission costs are crucial factors in ensuring and increase profits of power plants. This paper uses stochastic fractal search algorithm (SFSA) for solving the economic emission dispatch (EED) problems - a multi object optimization problems with load balance, power generation limits, and fuel constraints. The proposed SFSA has been tested on 6-generator of environmental economic and IEEE 30 bus system where the single line diagram is shown in Fig 1. For each test system, the problem is analyzed in two cases of single and multi- objective functions. The obtained results from the test cases have been compared to those from other methods in the literature as evidence for the SFSA can be a new effective method for solving economic emission dispatch problems.
DOI:10.1109/ISEE51682.2021.9418796