Meteorological-factor-considered method for evaluating photovoltaic-power-station grid-connected risk

A technology for photovoltaic power plants and meteorological factors, used in instruments, character and pattern recognition, data processing applications, etc.

Inactive Publication Date: 2018-05-18
SOUTHEAST UNIV +2
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Problems solved by technology

[0005] The present invention aims at the technical problems existing in the prior art, and provides a risk assessment method for grid-connected photovoltaic power plants considering meteorological factors. Risk issues, propose a risk assessment method for grid-connected photovoltaic power plants considering meteorological factors, evaluate the risks brought about by grid-connected photovoltaic power plants, and guide the safe and stable operation of the power grid

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  • Meteorological-factor-considered method for evaluating photovoltaic-power-station grid-connected risk
  • Meteorological-factor-considered method for evaluating photovoltaic-power-station grid-connected risk
  • Meteorological-factor-considered method for evaluating photovoltaic-power-station grid-connected risk

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Embodiment 1

[0050] Embodiment 1: see Figure 1-Figure 2 , a photovoltaic power station grid-connected risk assessment method considering meteorological factors, the method includes the following steps:

[0051] (1) Taking the meteorological index as the clustering feature vector, the daily output curve of the photovoltaic power station as the clustering object, and analyzing the historical annual output data of the photovoltaic power station through fuzzy c-means clustering, the photovoltaic daily output state and state transition probability matrix generated by clustering , to establish a probability model of the output power of photovoltaic power plants considering meteorological factors;

[0052] (11) Obtain the annual output data of each photovoltaic power station from the photovoltaic power station big data center, and perform normalization processing;

[0053] (12) Obtain the meteorological data corresponding to the output, and calculate the maximum irradiance ratio K i , irradiance...

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Abstract

The invention discloses a meteorological-factor-considered method for evaluating the photovoltaic-power-station grid-connected risk. The method includes the steps that a clustering feature vector is formed by meteorological indexes, photovoltaic historical output data is subjected to clustering analysis, and a photovoltaic-power-station output power probability model of the meteorological factorsis established; then according to an element outage model, transfer sequences of a photovoltaic power station and a common electric generator in the running, derating and outage states are extracted;an outage-model-contained photovoltaic output power sequence, an outage-model-contained common electric generator sequence and a load sequence are superposed according to time sequences, a usable margin model of a system is obtained, loads of a negative margin need to be suitably cut down, and light of a positive margin needs to be suitably discarded; the load loss risk and a power-supply loss risk index are calculated with the sequential monte carlo method. The method aims at considering the influence of strong correlation meteorological factors such as the irradiance and the temperature on the photovoltaic output power probability model, and the risk brought when the photovoltaic power station is connected into a power feeding net is thus analyzed.

Description

technical field [0001] The invention relates to a grid-connected risk assessment method for a photovoltaic power station considering meteorological factors, and belongs to the technical field of power system risk assessment. Background technique [0002] The randomness, intermittence and volatility of photovoltaic power generation lead to more uncertainty when it is connected to the grid. The premise of risk assessment for a power grid containing photovoltaic power plants is to establish a probability model of the output power of photovoltaic power plants. The output power of photovoltaic power plants is significantly affected by two meteorological factors, irradiance and temperature. Therefore, it is necessary to consider the influence of meteorological factors such as irradiance and temperature when establishing a probability model of output power of photovoltaic power plants. [0003] Power system risk assessment is mainly to comprehensively measure the risk from two asp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/0635G06Q50/06G06F18/23
Inventor 汤奕陶苏朦王琦李春来杨立滨
Owner SOUTHEAST UNIV
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