Applied Stochastic Fractal Search Algorithm to solve Economic Emission Dispatch Problems

Nowadays using of energy sources to produce electricity has many changes in increasing the proportion of using renewable energy. However, with the stability in generating capacity, fossil energy resources still play an important role in the power system. Therefore, solving the economic dispatch prob...

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Bibliographic Details
Published in2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST) pp. 1 - 5
Main Authors Hong, Thang Phan Van, Tuan, Khanh Dang, Ngoc, Dieu Vo
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.10.2022
Subjects
Costs
Economic dispatch
economic emission dispatch
emission dispatch
Fractals
Fuels
Iron
Power system stability
Search problems
stochastic fractal search algorithm
Wind turbines
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Summary:Nowadays using of energy sources to produce electricity has many changes in increasing the proportion of using renewable energy. However, with the stability in generating capacity, fossil energy resources still play an important role in the power system. Therefore, solving the economic dispatch problem in terms of ensuring environmental factors is always a difficult task. This paper contributes one of the new effective method for solving the environmental economic dispatch problems- stochastic fractal search algorithm (SFSA). The problems are solved in three optimization case: fuel cost, emission, and economic emission with the constraints on load balance, power generation limits, and fuel. The SFSA will be applied to electrical systems include: 5-unit; 10-unit with power retaining in three weeks and IEEE 30 bus with wind turbines. These results have been compared with other algorithms in the same power system to demonstrate the effectiveness of SFSA.
DOI:10.1109/GECOST55694.2022.10010664