Abstract
The paper takes the economic load distribution of the power system as the objective function, and establishes a mathematical model with economy, environmental protection, and reliability as system variables. It adopts the hierarchical thinking of control theory, uses multi-particle swarm multi-level optimization algorithm, and combines power distribution the characteristics of the network take the optimal value of each subsystem as the individual optimal value of the current particle, and perform the second particle swarm optimization to increase the probability of effective solution generation in the iterative process. Using multi-particle swarm hierarchical distributed algorithm, effectively improve the optimization accuracy of the objective function, the convergence speed and the number of times of convergence to the global solution. This paper focuses on power system optimal dispatch, fully considers the relationship between each system, and uses particle swarm optimization algorithm to obtain the optimal allocation of power resources. At the end of this paper, two typical IEEE power distribution networks are simulated and calculated. The calculation results show the superiority of the algorithm in calculation accuracy and convergence speed.
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