Probability load flow calculation method based on multi-zone interactive iteration

Abstract

The invention discloses a probability load flow calculation method based on multi-zone interactive iteration. The probability load flow calculation method comprises the following steps: firstly, sampling new energy electricity generation power variable by using an improved Latin hypercube sampling method, and establishing a sample matrix of the new energy electricity generation power variable; partitioning a power grid by using a node tearing method, and establishing a multi-zone interactive iteration calculation model; finally performing probability load flow calculation. According to the probability load flow calculation method disclosed by the invention, the tail characteristics of random variable probability distribution can be considered, and the new energy electricity generation power variable is sampled by using the improved Latin hypercube sampling method, so that the validity of samples is improved; as the power grid is partitioned by using the node tearing method, and the multi-zone interactive iteration calculation model is established, parallel computing can be achieved, Jacobian matrix dimensions of load flow calculation can be reduced, and multi-zone probability load flow calculation can be achieved.

Description

technical field [0001] The invention belongs to the field of power system analysis, and in particular relates to a probabilistic power flow calculation method based on multi-region interactive iteration. Background technique [0002] New energy power generation such as wind power and photovoltaic power generation has gradually attracted attention due to its increasingly mature power generation technology and huge environmental effects. Safe operation brings risks. The traditional deterministic power flow calculation method can only reflect the steady-state operation of the power system under certain working conditions, and cannot be used for the analysis of scenarios that take into account uncertain factors. The probabilistic power flow calculation method is an effective solution to this problem. tool. [0003] The probabilistic power flow calculation method was first proposed by Borkowska in 1974. The essence of the probabilistic power flow calculation is to solve the pow...

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Problems solved by technology

The point estimation method is an approximate solution method. Although the speed is fast and the expectation and variance precision of the output variable is high, the high-order moment error of the output variable is large and it is difficult to obtain the probability distribution of the output variable; analytical methods include Fast Fourier Transformation method, semi-invariant method and first-order second-order moment method, although the calculation speed is fast, but the accuracy is not as high as the simulation method; the representative of the simulation method is the Monte Carlo simulation method, the traditional Monte Carlo simulation method uses random sampling technology to extract input Variable samples, after multiple deterministic power flow calculations, the probability distribution of output variables is obtained. The accuracy is very high, but it takes a long time. The improved Monte Carlo simulation method based on Latin hypercube sampling is based on the principle of stratified sampling. Fewer samples can meet the probability characteristics of random variables, which is faster than the traditional Monte Carlo simulation method, while ensuring calculation accuracy

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