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Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm

A discrete particle swarm and fault recovery technology, applied in instrumentation, data processing applications, forecasting, etc., can solve the problems that the algorithm performance is greatly affected, and the calculation time cannot meet the real-time requirements of the micro-distribution network system.

Inactive Publication Date: 2014-10-22
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] Although the PSO algorithm has good convergence and accuracy, its calculation time still cannot meet the real-time requirements of the micro-distribution network system, and the setting of the algorithm parameters has a great impact on the algorithm performance.

Method used

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  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm
  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm
  • Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm

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Embodiment Construction

[0063] Refer to attached picture

[0064] The intelligent fault recovery method based on the multi-objective discrete particle swarm intelligent optimization algorithm includes the following steps:

[0065] Step 1, initialize parameters.

[0066] 1-1) Determine the maximum number of iterations, the number of particles, the number of dimensions, the learning factor, the value of inertia weight in the discrete particle swarm optimization algorithm, as well as the calculation formulas and corresponding parameters of various objective functions. The method of the present invention-the fault recovery method based on the discrete particle swarm intelligent distribution network includes three aspects of the objective function:

[0067] i) Restoring as many de-energized loads as possible

[0068] max f 1 = Σ ...

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Abstract

The invention discloses an intelligent power distribution network fault recovery method based on a multi-target discrete particle swarm. The method comprises the following steps: 1), initializing parameters; 2), initializing a position and a speed of a discrete particle swarm optimization algorithm, and according to intelligent power distribution network island dividing and load recovery algorithms, calculating each fitness value fitness k relative to a multi-target function for each particle; 3), based on a fitness control concept, performing classification of a control population and a non-control population; 4), according to a corresponding updating rule, updating a particle position and a particle speed in the control population; 5), performing dynamic exchange between the control population and the non-control population; 6), detecting whether a maximum iteration frequency is reached, and if the maximum iteration frequency is reached, skipping to step (4), and otherwise, entering step 7); and 7), outputting a final optimization result.

Description

technical field [0001] The invention relates to a fault recovery method including distributed generation and distribution, in particular to a fault recovery method for an intelligent distribution network based on multi-objective discrete particle swarms. Background technique [0002] Smart distribution network is the direction of future power grid planning and construction. "Smart grid" refers to a modern power supply system that monitors, protects and automatically optimizes the operation of its internal interconnected components to effectively meet users' safe, reliable and diverse power supply needs. The intelligentization of power distribution and consumption is the focus of smart grid research, and the future intelligent distribution network will be the main component of smart grid. An intelligent distribution network requires a transformation from a traditional passive distribution network to an active one. This kind of distribution network is conducive to the access ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 陈明军冯杰陈俊宇
Owner ZHEJIANG UNIV OF TECH
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