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Reactive power optimization method and device for power distribution network

An optimization method and distribution network technology, applied in the field of micro-grid, can solve the problems of poor optimization effect and low accuracy of optimization results

Pending Publication Date: 2020-09-04
CHINA ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of low optimization result accuracy and poor optimization effect in the prior art, the present invention provides a reactive power optimization method and device for distribution network, which initializes control parameters and control variables; based on the initialized control parameters and control Variables, update the control variables in the Lagrangian inner loop; judge whether the Lagrangian outer loop converges, and if it converges, it ends; if it does not converge, update the control parameters, and continue to update the control variables in the Lagrangian inner loop , until the Lagrangian outer cycle converges, the optimization result obtained by the present invention has high accuracy and improves the optimization effect of the distribution network

Method used

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  • Reactive power optimization method and device for power distribution network

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Embodiment 1

[0103] Embodiment 1 of the present invention provides a reactive power optimization method for distribution network, the specific flow chart is as follows figure 1 As shown, the specific process is as follows:

[0104] S101: Initialize control parameters and control variables;

[0105] S102: Based on the initialized control variable, update the control variable in the Lagrangian inner loop;

[0106] S103: Judging whether the Lagrangian outer loop converges, if it converges, it ends; if it does not converge, then update the control parameters (specifically update the Lagrange multipliers and penalty factors in the control parameters), and continue to run in the Lagrange The control variables are updated in the inner loop until the Lagrangian outer loop converges.

[0107] The above control parameters that need to be initialized include the outer loop Lagrange multiplier vector, the outer loop penalty factor vector, the growth coefficient of the penalty factor vector, the impr...

Embodiment 2

[0154] Based on the same inventive concept, Embodiment 2 of the present invention also provides a reactive power optimization device for a distribution network, including an initialization module, an update module, and a judgment module. The functions of the above modules are described in detail below:

[0155] The initialization module is used to initialize control parameters and control variables;

[0156] An update module, configured to update the control variable in the Lagrangian inner loop based on the initialized control variable;

[0157] The judging module is used to judge whether the Lagrangian outer loop converges, and if it converges, it ends; if it does not converge, then update the control parameters, and continue to update the control variables in the Lagrangian inner loop until the Lagrangian outer loop convergence.

[0158] The control parameters initialized by the above initialization module include the outer loop Lagrangian multiplier vector, the outer loop...

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Abstract

The invention provides a reactive power optimization method and device for a power distribution network. The method comprises: initializing a control parameter and a control variable; updating the control variable in a Lagrange internal circulation based on the initialized control variable; judging whether a Lagrange external circulation is converged, and if so, ending; and if not, updating the control parameter, and continuously updating the control variable in the Lagrange internal circulation until the Lagrange external circulation converges. According to the invention, the accuracy of theobtained optimization result is high, and the optimization effect of the power distribution network is improved; reactive power optimization of lean management and control of the power distribution network is converted into positive definite matrix inversion, so that the process is simple, the applicability is high, the result is reliable, and the improvement of the reactive power optimization solving capability is facilitated; the reactive power optimization convergence speed based on the augmented Lagrange multiplier penalty function method is high, and the calculation time is short; and thereactive power optimization precision is high, and the lean management and control requirements of the power distribution network can be met.

Description

technical field [0001] The invention relates to the technical field of micro-grids, in particular to a reactive power optimization method and device for distribution networks. Background technique [0002] With the development of the distribution network, users' requirements for power supply reliability and power quality continue to increase, and people's requirements for lean management and control continue to increase. Reactive power optimization of distribution network is an important content of lean management and control. Reactive power optimization is not only conducive to improving the level of power quality, but also can reduce line loss and improve the economical and environmental protection of power transmission. The development of continuously adjustable reactive power compensation devices further enriches the connotation of reactive power optimization in lean management and control, and puts forward new requirements for the calculation accuracy of reactive power ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18
CPCH02J3/18Y02E40/30
Inventor 何开元刘科研盛万兴孟晓丽胡丽娟叶学顺董伟杰贾东梨刁赢龙唐建岗王晨钟
Owner CHINA ELECTRIC POWER RES INST
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