Abstract
In order to solve the problem of economic load distribution in power system, artificial intelligence algorithm is adopted in this paper. Since the consumption characteristics affect the efficiency and economy of the thermal power unit to a great extent, such scheme is based on the basic particle swarm optimization algorithm, using the optimization of inertia weight and the improvement of the optimal worst particle strategy, so that the improved PSO algorithm has high efficiency and global searching ability. The output of each unit is regarded as the position information of particle in the algorithm, the function of generation cost is taken as the fitness function of search, and the search mechanism of particle is used to find the minimum value of generation cost. Finally, the effectiveness and the advanced method of the method are verified by simulation analysis of case study.
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