Method for high-reliability optimization of power grid reconstruction of distribution network and related equipment

Abstract

The invention discloses a method for high-reliability optimization of power grid reconstruction of distribution network and related equipment. The method comprises the following steps: 1, acquiring original data of the distribution network and performing particle swarm coding according to the original data; 2, decoding the particle swarm, and determining a fitness function corresponding to each particle; 3, initializing parameters of the quantum particle swarm optimization; 4, initializing a particle swarm by a random integer; 5, calculating the adaptive value of the current position of each particle according to the adaptive function, iteratively updating the positions of the particles according to the adaptive values, and recording the number of iterations; 6, determining a global optimal position of the particle swarm according to the particle position and determining a global optimal adaptive value; 7, judging whether the number of iterations is greater than an iteration preset value or not; 8, if not, executing the step 5; and 9, if yes, outputting a reconstruction result according to the global optimal adaptive value. The quantum particle swarm optimization algorithm adopts integer type coding to accelerate the particle convergence speed, so that the global optimization capability of power distribution network reconstruction can be improved.

Description

technical field [0001] The embodiments of the present application relate to the field of power grid network structure optimization, and in particular to a method and related equipment for high-reliability distribution network optimization power grid reconfiguration. Background technique [0002] With the rapid development of the social economy, the power load is also increasing day by day, which makes the power distribution network increasingly complex, resulting in an increase in the network loss of the distribution network year by year. Therefore, it is imperative to reduce the loss of the distribution network network. Generally, it is completed by using the distribution network reconfiguration. Under the premise of deviation requirements and transformer capacity requirements, determine the best distribution network operation mode for distribution network line loss, load sharing, power supply quality, etc. [0003] However, in the existing technology, the particle swarm o...

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Problems solved by technology

[0003] However, in the existing technology, the particle swarm optimization algorithm is used in the distribution network reconfiguration. Due to the large amount of calculation required in this type of reconfiguration method, the convergence speed is slow, which leads to the poor global optimization ability of the distribution network reconfiguration. Low

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