Low-voltage intelligent treatment method based on optimal reactive compensation

Abstract

The invention relates to a low-voltage intelligent treatment method based on optimal reactive compensation, and belongs to the technical field of low-voltage treatment. The method is characterized inthat firstly, reactive power optimization indexes are selected by calculating line power flow and transmission loss, and the global optimization capability of the algorithm is enhanced by adopting a dynamic PSO algorithm; secondly, a non-stationary multi-stage assignment penalty function is introduced to perform sorting operation of discrete variables after optimizing to an optimal solution is performed, i.e., an optimal power flow problem with constraint conditions is converted into an unconstrained extremum solving problem; and finally, reactive compensation configuration of low-voltage governance is realized by utilizing the optimal reactive index. The method is advantaged in that the dynamic PSO algorithm and the non-stationary multi-stage assignment penalty function are combined to carry out load flow calculation, reactive power distribution of the low-voltage distribution network is rapidly and accurately analyzed, a target is comprehensively optimized, a reactive power compensation scheme is dynamically adjusted, the compensation result is calculated and analyzed, and a necessary reactive power optimization basis is provided for effective treatment of low voltage.

Description

technical field [0001] The invention belongs to the technical field of low-voltage control, and in particular relates to a low-voltage intelligent control method based on optimal reactive power compensation. Background technique [0002] With the rapid development of industry and the continuous increase of household appliances, the electricity consumption of residents continues to rise. In some remote distribution network end areas, low voltage problems frequently occur, seriously affecting people's life and production. Among the various low-voltage control methods at present, it is more reasonable and economical to use reactive power compensation to control low-voltage in distribution stations. Reactive power compensation refers to the installation of shunt capacitors or static var compensators reactive power compensation equipment in the power grid to provide reactive power consumed by inductive loads, reduce the reactive power provided by the power supply to inductive loa...

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Problems solved by technology

However, the standard particle swarm optimization algorithm generally cannot take into account the calculation speed and global convergence ability, and it is easy to fall into the local optimum, which will lead to untimely compensation, local overcompensation, and global District reactive and non-economic problems

[0004] The patent "An Intelligent Control Method for Low-Voltage Station Areas Based on the Forward-Backward Algorithm" proposes a low-voltage control method based on the forward-backward algorithm, which can optimize the reactive power of the low-voltage station area to a certain extent, but It is necessary to carry out power flow calculation for the radial distribution network, and it is also necessary to number the nodes and branches in the calculation. The calculation process is relatively complicated, and the calculation results cannot achieve global optimization, which has certain limitations and singleness.

The document "Adaptive Particle Swarm Optimization Algorithm and Its Application in Reactive Power Optimization" proposes a reactive power optimization method based on particle swarm intelligent algorithm, which can be applied to the reactive power optimization process in low-voltage control, but this method cannot Taking into account the calculation speed and global convergence ability, and there is no specific quantitative analysis method

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