Energy is the cornerstone of the progress of human society. As the world gradually moves towards modernization, the shortage of energy in various countries has become an important problem restricting their economic development. It is very important to reduce energy costs and improve system economy to allocate energy as reasonably as possible under the requirements of ensuring the stable operation of the power system. The purpose of this paper is to study energy distribution methods based on hybrid intelligence algorithms. The static load distribution mathematical model of the power system is established, and the static load distribution program based on the hybrid algorithm is designed. The IEEE3-machine 6-bus system is used for the example simulation. Particle swarm optimization and hybrid intelligence algorithm are used to test the objective function in three cases, respectively. The results show that the hybrid intelligence algorithm is better than the particle swarm algorithm in both the convergence speed and the optimal solution quality when solving the static load distribution.

Linying Che. Energy Distribution Method Based on Hybrid Intelligent Algorithm. Academic Journal of Energy (2021), Vol. 2, Issue 4: 54-61. https://doi.org/10.38007/RE.2021.020407.

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