Applied Stochastic Fractal Search Algorithm to solve Economic Emission Dispatch Problems

• Published in: 2022 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
• Language: English
• 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
• DOI: 10.1109/GECOST55694.2022.10010664

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.