Simultaneous Optimization of Economic and Environmental Load Dispatch (EED) of Power System Using Multi-Objective Honey Bee Colony Heuristic Algorithm (MOABC)
Subject Areas : electrical and computer engineering
Seyed Hakim Hosseini
1
,
S. J. Javadi Moghadam
2
,
M. R. Gholami
3
1 - Elec. Eng. Dept., Payam-e Noor University, Tehran, Iran
2 - Elec. Eng. Dept., Payam-e Noor University, Tehran, Iran
3 - Elec. Eng. Dept., Payam-e Noor University, Tehran, Iran
Keywords: Economic and environmental optimization, power plants, power systems, honey bee colony algorithm,
Abstract :
The main goal of this study was the simultaneous optimization of environmental-economic dispatch (EED) in power systems using a multi-objective Artificial Bee Colony (MOABC) algorithm. A multi-objective environmental-economic dispatch model for power systems was developed with the objectives of minimizing economic cost and pollution emissions to address the challenges in power system distribution caused by the global energy crisis and global warming, and to promote the realization of the dual carbon goal.
A multi-objective Artificial Bee Colony algorithm (MOABC) based on non-dominated sorting and an improved greedy criterion was designed according to the characteristics of the proposed model. In designing the algorithm, the Taguchi method was used for parameter optimization, a heuristic method was applied for dynamic constraint handling, and various comprehensive evaluation indices were employed to assess the algorithm’s performance.
Simulation analysis was performed on a six-generator power system and a ten-generator power system, and the results were compared with different algorithms to validate the rationality and effectiveness of the proposed model. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to determine the optimal compromise solution as a reference for scientific decision-making by dispatchers.
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