Probabilistic load flow algorithm based on semi invariant and series expansion method

A series expansion, semi-invariant technology, applied in the field of power system, can solve problems such as complex mathematical principles, slow calculation speed, and inability to consider the correlation of random variables.

Active Publication Date: 2016-07-27
JIANGSU ELECTRIC POWER RES INST +3
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Problems solved by technology

However, there are still deficiencies such as too complicated mathematical principles, slow calculation speed, and failure to consider the correlation between random variables.

Method used

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  • Probabilistic load flow algorithm based on semi invariant and series expansion method
  • Probabilistic load flow algorithm based on semi invariant and series expansion method
  • Probabilistic load flow algorithm based on semi invariant and series expansion method

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Embodiment Construction

[0080] The present invention will be further described below in combination with specific embodiments and accompanying drawings.

[0081] The invention discloses a random power flow algorithm based on semi-invariant and series expansion method, such as figure 1 shown, including the following steps:

[0082] S1: Construct a stochastic model of the power system, input the original data of the system and related data of the wind farm, including conventional power flow calculation data, load distribution data, conventional generator output and forced outage rate, historical wind speed of the wind farm, fan characteristics, and wind speed Probability density function, output power of wind turbine, probability density function of active power of load and probability density function of reactive power of load;

[0083] S2: Use the Newton-Raphson method to calculate the deterministic power flow, find the node voltage and the expected value of the branch power flow, and the sensitivit...

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Abstract

The invention discloses a probabilistic load flow algorithm based on a semi invariant and series expansion method. By the probabilistic load flow algorithm, the uncertainty of a system under access of large-scale new energy sources can be reflected, a Monte Carlo sampling technology is introduced based on the analysis of a traditional semi invariant method to calculate the output of a wind power generator set, complicated mathematical analysis and calculation are prevented, and the probabilistic load flow algorithm can be applicable to a new energy output model with arbitrary random distribution; and relatively high adaptability and favorable convergence can be achieved when photovoltaic or other new energy sources are accessed to the system except wind and power.

Description

technical field [0001] The invention relates to power system technology, in particular to a random power flow algorithm based on a semi-invariant and a series expansion method. Background technique [0002] As the scale of wind power continues to expand, its impact on the power grid is becoming increasingly prominent. In addition to affecting system stability and bringing power quality problems (such as voltage fluctuations, flicker, harmonic pollution, etc.), the access of large-scale wind power will also change the power flow distribution of the power grid and increase the probability of voltage over-limit and line overload , which brings many difficulties to the planning and operation of the power system. Therefore, it is of great significance to establish a reasonable wind farm model and use power flow calculation to quantitatively analyze the impact of wind power access on system operation. [0003] The conventional power flow is to calculate the voltage or current at...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/06
CPCH02J3/00H02J3/06H02J2203/20
Inventor 卫鹏刘建坤周前徐青山黄煜
Owner JIANGSU ELECTRIC POWER RES INST
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