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Large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm

A technology for photovoltaic power plants and immune particles, applied in photovoltaic power generation, photovoltaic modules, reactive power compensation, etc.

Inactive Publication Date: 2015-12-23
STATE GRID CORP OF CHINA +3
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  • Abstract
  • Description
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Problems solved by technology

However, in the reactive power optimization of large-scale photovoltaic power plants, because personnel in the field still need to overcome various technical barriers, such as the selection of optimization targets, the establishment of system models, and how to improve the local search ability of the algorithm, etc., there is currently no No relevant application reports

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  • Large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm
  • Large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm
  • Large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm

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Embodiment Construction

[0072] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0073] The invention provides a reactive power optimization method for a large photovoltaic power station based on an improved immune particle swarm algorithm, such as image 3 shown, including the following steps:

[0074] Step 1) Establish a steady-state operation model of photovoltaic power station considering the impedance of collector lines, step-up transformers, and transmission lines in the station.

[0075] Large-scale photovoltaic power stations mostly use inverters in parallel and centralized grid connection, and realize high-voltage AC power transmission through booster station transformers. Taking a large-scale photovoltaic power station in China as an example, its topology is as follows figure 1 shown.

[0076] U in the figure i Indicates the voltage on the low-voltage side of the i-th PVGU step-up transformer, U POI Indi...

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Abstract

The invention relates to a large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm, and belongs to the technical field of photovoltaic power station control. The method comprises the following steps: 1) establishing a photovoltaic power station stable state operation model to analyzing the voltage, wherein the model comprises an instation current collection line, a step up transformer and power transmission line impedance; 2) establishing a multi-target reactive power optimization model, and performing fuzzy processing of multiple targets; and 3) solving by using the improved immune particle swarm optimization algorithm. The large photovoltaic power station reactive optimization method based on improved immune particle swarm optimization algorithm can significantly improve the grid-connection point voltage and the instation voltage distribution, and can significantly reduce the instation active loss when the power station outputs greatly.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power station control, and relates to a reactive power optimization method for a large photovoltaic power station based on an improved immune particle swarm algorithm. Background technique [0002] In recent years, photovoltaic power generation has developed rapidly, and the large-scale and large-scale photovoltaic power plants have become the development trend of photovoltaic industry. Large-scale photovoltaic power plants are mostly built in remote desertified areas, and the short-circuit capacity of the power grid in the connected area is small. A large amount of photovoltaic power needs to be connected to the power grid through high-voltage long-distance transmission lines. The fluctuation of photovoltaic output will cause the voltage of the grid connection point to fluctuate greatly or even exceed the limit. It affects the stable operation of the system, so large-scale photovoltaic power...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/16H02S40/30
CPCY02E10/56Y02E40/30
Inventor 李春来邵念彬张海宁杨立滨李正曦杨军王平
Owner STATE GRID CORP OF CHINA
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