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Model order reduction method suitable for droop grid-connected inverter network

A technology of model reduction and inverter, applied in the direction of AC network circuit, single network parallel feeding arrangement, output power conversion device, etc., can solve the problem that the slow coherent method is difficult to apply to distributed power generation network, etc., to achieve improved clustering Results, the effect of improving accuracy

Active Publication Date: 2021-07-09
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0004] The present invention is to solve the problem that the traditional slow coherent method is difficult to apply to the distributed power generation network, and now provides a model reduction method suitable for drooping grid-connected inverter networks

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  • Model order reduction method suitable for droop grid-connected inverter network
  • Model order reduction method suitable for droop grid-connected inverter network
  • Model order reduction method suitable for droop grid-connected inverter network

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specific Embodiment approach 1

[0086] Embodiment 1: In the above slow coherence method, if the desired grouping number of the system power supply is g, the grouping matrix corresponding to the g smallest eigenvalues ​​will be used for coherence identification. When the slow mode σ a The number of modes in is r, and when g≤r, grouping the generator sets according to the grouping matrix can ensure the optimal grouping of the system; but if the accuracy of the reduced-order model is not enough or other circumstances, let g>r, then this When the characteristic matrix involves eigenvalues ​​outside the slow mode, the obtained grouping matrix is ​​only one of the grouping modes, so it is difficult to obtain accurate grouping results.

[0087] Therefore, the best way to improve the grouping results of the slow coherence algorithm is to use only the modal matrix corresponding to the sub-mode in the slow mode for coherent grouping. Because the eigenvalue corresponds to the mode of the system, the eigenvector corres...

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Abstract

The invention discloses a model order reduction method suitable for a droop grid-connected inverter network, and relates to the technical field of droop grid-connected inverter control. The invention aims to solve the problem that a traditional slow coherence method is difficult to apply to a distributed power generation network. The model order reduction method suitable for the droop grid-connected inverter network is provided for an existing widely-applied three-phase droop control grid-connected inverter, the slow coherence algorithm can be applied to the droop control inverter network, the grouping result of the traditional slow coherence algorithm can be effectively improved, and the accuracy of the reduced-order model is further improved. The method is suitable for an inverter system adopting inductive droop control, is not influenced by a voltage and current control method, and is also suitable for different voltage levels or capacities. In addition, the method is not only suitable for a radiation network, but also suitable for a mesh network.

Description

technical field [0001] The invention belongs to the technical field of drooping grid-connected inverter control. Background technique [0002] The coherent equivalence technique is widely used in the dynamic equivalence of large-scale systems, and the obtained reduced-order model can accurately reflect the dynamic response of the system. Among them, the representative slow coherent method has the advantages of being insensitive to fault location and severity. However, due to model limitations and poor accuracy, traditional slow coherent methods are difficult to apply to distributed generation networks. [0003] In the traditional slow coherence algorithm, the second-order dynamic equation of the conventional synchronous machine is usually used, and because the influence of the damping torque of the synchronous machine is small, its influence on the coherent algorithm is ignored. However, the droop control inverter does not have a similar second-order dynamic equation, and ...

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Application Information

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IPC IPC(8): H02J3/38H02M7/493
CPCH02J3/38H02M7/493H02J2203/20H02J2203/10
Inventor 刘鸿鹏张伟张书鑫刘佳耕
Owner NORTHEAST DIANLI UNIVERSITY
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