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A method for generating typical scenes of photovoltaic power plants based on multi-scene model

A photovoltaic power station, multi-scenario technology, applied in the direction of character and pattern recognition, data processing applications, instruments, etc., can solve problems such as correlation and change that are not considered, and achieve the goal of improving accuracy, speed, and efficient and accurate modeling Effect

Active Publication Date: 2022-08-02
STATE GRID JIANGSU ECONOMIC RES INST +2
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Problems solved by technology

The existing generation of various photovoltaic output scenarios uses a single modeling method, but the single modeling method covers all samples, and does not take into account that the correlation may change with the influence of external factors such as weather and operation mode

Method used

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  • A method for generating typical scenes of photovoltaic power plants based on multi-scene model
  • A method for generating typical scenes of photovoltaic power plants based on multi-scene model
  • A method for generating typical scenes of photovoltaic power plants based on multi-scene model

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Embodiment

[0041] refer to figure 1 As shown, it is the overall flow chart of the sample generation method based on the multi-scene model proposed by the present invention. The present invention applies the clustering method based on the local density center to the output data sets of multiple photovoltaic power plants, and divides all data points into multiple scenarios. figure 2 and 3 shown. In this embodiment, the multiple scenarios generated by clustering are modeled separately, and the kernel density estimation method and the Copula function are used to estimate the joint probability distribution of the output of multiple photovoltaic power plants in each scenario. Figure 4 and 5 shown. The invention uses the Latin hypercube sampling method to sample the model, generates a typical sample of photovoltaic output, and performs the Monte Carlo probability power flow calculation on the generated sample, so as to analyze the voltage quality of the distribution network. Image 6 sho...

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Abstract

The invention relates to a method for generating a typical scene of a photovoltaic power station based on a multi-scene model. First, the historical output data of a plurality of photovoltaic power stations under a power distribution network are acquired to form a multi-dimensional data set composed of the historical output data of each photovoltaic power station; then, The multi-dimensional set is clustered based on the local density center, and all data points are divided into multiple scenarios; then the multiple scenarios generated by the clustering are modeled separately, and the kernel density estimation method and the Copula function are used to estimate the output of multiple photovoltaic power plants. The joint probability distribution in each scenario; finally, the optimal Copula function in each scenario is sampled by the Latin hypercube sampling method to generate typical samples of photovoltaic output, and Monte Carlo probability power flow calculation is performed on the generated samples, so as to analyze the distribution of power distribution. The quality of the network voltage is analyzed. This method can efficiently achieve accurate modeling of the output of multiple photovoltaic power plants.

Description

technical field [0001] The invention relates to a method for generating a typical scene of a photovoltaic power station based on a multi-scene model. Background technique [0002] With the gradual development of new energy sources, the penetration rate of distributed photovoltaic power generation in the distribution network has increased year by year. At the same time, the access of distributed photovoltaics has brought some influences and challenges to the operation of the distribution network. The mismatch between the output of photovoltaic power plants and the time and space of the load will lead to problems such as local voltage fluctuations and power reversal in the station area. Considering the randomness and fluctuation of the output of photovoltaic systems, the traditional deterministic power flow calculation method has been difficult to meet the analysis requirements of the voltage risk of the distribution network system, and the probabilistic power flow algorithm i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/2113G06F18/23
Inventor 韩俊谢珍建蔡超王娜袁晓昀陈皓菲樊安洁万鹭潘文婕周嘉王栋蒋玮陈颢元
Owner STATE GRID JIANGSU ECONOMIC RES INST
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