Abstract
Nowadays, the electric power system is an indispensable part of the national economy and social development, and its safe operation has an important impact on the whole country as well as the region. The safety of the power system is related to the national economy and social stability. Therefore, it is necessary to optimize and improve it reasonably and effectively. In practice, various factors (e.g. grid planning, dispatching department, etc.) lead to faults or irregularities in the power supply grid, and the operation of the grid changes dramatically, which causes some degree of damage to the power supply grid. How to carry out optimization improvement is an important part of power system dispatching work. Particle swarm algorithm is a new optimization algorithm with good global search ability, we propose an improved particle swarm algorithm that can effectively solve various problems in economic dispatching. The algorithm is based on the traditional particle swarm algorithm, and it uses the principles and methods of the improved particle swarm optimization(PSO) algorithm to build the model on the basis of ant colony behavior for simulation. Finally, the effectiveness of the PSO algorithm in the economic dispatch of electric power is verified by experimental simulation.
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Ju, Y. (2023). Application of Improved Particle Swarm Optimization Algorithm in Power Economic Dispatch System. In: Xu, Z., Alrabaee, S., Loyola-González, O., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-031-31775-0_23
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DOI: https://doi.org/10.1007/978-3-031-31775-0_23
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