Probabilistic Power Flow Calculation Method for Distribution Networks Containing Photovoltaic Power

Abstract

The invention discloses a probability load flow calculation method for a photovoltaic power contained distribution network. The method comprises the steps as follows: firstly, obtaining the actual testing data of the output power of the photovoltaic power and the parameters of a grid line and a load; secondly, estimating the probability density function of the output power of the photovoltaic power based on a nonparametric kernel density estimation theory, as well as estimating the probability density function of the load through utilizing normal distribution; thirdly, selecting a distribution point based on a linear independence principle; fourthly, establishing a chaos polynomial between the voltage of the distribution point and that of a node; fifthly, calculating the mean value of the node voltage. The invention has the advantages that the method is simple, strong in practicability, high in estimating accuracy, strong in universality, and convenient for wide application, so that the method can be widely applied to the electrical power system probability analysis of the photovoltaic power contained distribution network.

Description

technical field [0001] The invention relates to a probabilistic power flow calculation method for a photovoltaic power distribution network. Background technique [0002] There are a large number of uncertain factors in the power system, such as random fluctuations in load and so on. In recent years, with the large-scale grid-connected operation of intermittent energy sources with random fluctuations in output power, such as wind power and photovoltaic power sources, the uncertainty of the power system has been further enhanced, which has brought new challenges to the safe, stable and economical operation of the power system. new challenge. In order to quantitatively evaluate the impact of photovoltaic power output and random load fluctuations on the power system, it is necessary to deeply study the probabilistic power flow problem of power systems containing photovoltaic power and seek a calculation method with high accuracy and strong adaptability. [0003] The existing ...

AI Technical Summary

Problems solved by technology

However, the main disadvantages of this method are: 1) The case of non-parametric distribution is not considered: this method assumes that the random factors in the power system all obey a certain parametric distribution, but it is not the case in reality

Then, the selected collocation point is very likely not in the interval with high probability, resulting in a relatively large calculation error

Therefore, the calculation accuracy and adaptability of the proposed method need to be improved urgently.

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