Optimal configuration method of fault current limiter based on adaptive particle swarm algorithm

Abstract

The invention discloses an optimal configuration method of a fault current limiter based on an adaptive particle swarm algorithm. The method includes the following steps: 1, calculating short circuit current of each branch circuit, and selecting a standard-exceeding node; 2, building a mathematical model of an FCL optimization configuration problem, 3, conducting optimization configuration on the FCL by the adaptive particle swarm algorithm. According to the optimal configuration method, a more accurate optimal computation can be conducted on installation impedance of the FCL, the installation impedance value is optimized on the premise that fault current is limited, so that a reference is provided for the actual installation of the FCL in an electric power system.

Description

technical field [0001] The invention relates to the technical field of power system analysis, more specifically to a method for optimal configuration of a fault current limiter. Background technique [0002] The rapid development of modern power systems is characterized by increasing unit capacity, increasing voltage levels, expanding the scale of the power grid, and interconnecting large power grids. Correspondingly, the level of short-circuit current in the system is also constantly increasing. As a member of the FACTS family, the fault current limiter has been widely used in fault current limitation in recent years. Because the structure of the commonly used series resonant fault current limiter is well known, but in practical applications, when the current limiting impedance of the fault current limiter is different, the short-circuit current limiting effect on the line and the entire power grid is very significant. big impact. Therefore, using the particle swarm optim...

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Problems solved by technology

[0003] At present, the impedance selection methods of the fault current limiter can be divided into two categories: the first is the optimal configuration method based on the sensitivity method, which mainly obtains the sensitivity of the self-impedance at the point where the short-circuit current exceeds the standard to the impedance parameters of these branches. Size, select multiple candidate branches for installing FCL, and then optimize the candidate branches to realize the optimal configuration of SFCL installation location, quantity and impedance value; the second is the optimal configuration based on the PSO algorithm, mainly through The basic PSO algorithm is used to optimize the configuration of the installation impedance of the fault current limiter; the method based on sensitivity is suitable for selecting the optimal installation position, and there are many types of algorithms introduced, which are relatively complicated; the optimal configuration method based on the basic PSO algorithm is relatively simple. However, in the process of particle optimization, when the particles are following the optimal particle, as the particle gets closer and closer to the optimal particle, the speed becomes slower and slower, showing a strong convergence, and the particle may soon fall into the local optimum, resulting in Premature convergence, the obtained optimal impedance sequence may not be the optimal solution

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