Method for optimizing configuration place and optimal compensation capacity of reactive equipment of electric power system

Abstract

The invention discloses a method for optimizing a configuration place and optimal compensation capacity of reactive equipment of a power system. The method comprises the following steps: setting powersystem parameters; obtaining a voltage stability sequence of load nodes of the power system according to the local voltage stability L index, and taking the nodes with low stability as reactive compensation nodes; initializing parameters; calculating a particle fitness value; updating the particle swarm; according to the updated particle swarm, obtaining a particle individual optimal value and aglobal optimal value of the current swarm through genetic operator operation to serve as the optimal compensation capacity of the reactive power equipment; and judging whether a calculation result reaches convergence precision or the maximum iteration frequency, if YES, outputting the currently calculated optimal compensation capacity of the reactive power equipment as the installation capacity, and if NO, updating the particles, returning to calculate the particle fitness value again, calculating the fitness value again, and updating the particle swarm. According to the invention, the configuration place and the optimal compensation capacity of the reactive power equipment of the power system can be quickly and effectively obtained.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and in particular relates to an optimization method for disposing locations of reactive power equipment and optimal compensation capacity in electric power systems. Background technique [0002] As the scale of the power system continues to increase, it is not possible to configure reactive power compensation devices for each load node in a certain area of ​​the system due to insufficient reactive power in the system. Although this ensures the stability of the system voltage to a large extent, the cost is too high. , the control method is redundant and complicated, and has no practical engineering application value. Determining the optimal compensation point of reactive power compensation equipment is a key issue in the research of reactive power planning in power systems. At the same time, the capacity allocation of reactive power compensation devices is also a problem to be disc...

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Problems solved by technology

At the same time, the capacity allocation of reactive power compensation devices is also a problem to be discussed in nonlinear programming

[0003] When calculating the optimal compensation capacity based on the traditional standard particle swarm algorithm, it is necessary to set parameters such as local learning factor and global learning factor, which has a certain adverse effect on finding the best parameters of the optimization model. At the same time, the particle position update lacks randomness, and local optimal problem

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