Self-healing method of smart distribution network on the basis of improved ant colony algorithm

Abstract

The invention discloses a self-healing method of a smart distribution network on the basis of an improved ant colony algorithm, and belongs to the technical field of smart distribution. The self-healing method comprises the following steps: 1) obtaining the initial data of the distribution network which needs to be reconstructed at present; 2) initializing the environment information of power network failure recovery; 3) according to the ant colony algorithm and a minimum spanning tree theory, generating a plurality of radial networks; 4) according to the initial data, which is obtained in the step 1), of the distribution network, calculating the network loss values of the plurality of radial networks formed in the step 3), and selecting one path with the minimum network loss value in all paths formed by ants in current iteration to update directional pheromones; and 5) repeating the step 3) and the step 4) to finish next iteration, and cycling in sequence until a maximum iteration number is finished. A power network failure recovery model is analyzed by the improved ant colony algorithm, and takes the reduction of the network loss of a power network as a target and is high in calculation efficiency, and a final self-healing scheme can effectively guarantee that a system can safely and economically operate after failure appears.

Description

technical field [0001] The invention belongs to the technical field of intelligent power distribution, and more specifically relates to a self-healing method of an intelligent distribution network based on an improved ant colony algorithm. Background technique [0002] Smart grid is the latest direction of power grid development and transformation, which plays an important role in improving energy efficiency and promoting global economic development. The self-healing technology of distribution network is one of the important features and core technologies of smart grid. In my country, due to historical reasons, the distribution network investment is relatively insufficient, the degree of automation is relatively low, and there is a certain gap between the quality of power supply and the international advanced level. [0003] Nearly half of the power system loss occurs in the distribution network. The impact of distributed power access on the power grid is mainly on the dist...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problems in the prior art that the ant colony algorithm applied to the self-healing control of the distribution network is easy to fall into local optimum and difficult to converge, and provides a self-healing control of the intelligent distribution network based on the improved ant colony algorithm. Healing method; the present invention applies the improved ant colony algorithm based on directional pheromone to the self-healing control of the distribution network, and uses the improved ant colony algorithm to analyze the self-healing model of the distribution network to reduce the distribution network As the goal, the constraint conditions in the self-healing problem are substituted into the solution; the simulation experiment proves that the present invention can achieve better results when solving the self-healing problem of the distribution network

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