Method for acquiring available power transmission capability of power system with wind power plant

Abstract

The invention discloses a method for acquiring available power transmission capability of a power system with a wind power plant. Nonlinear transformation of unscented transformation is applied to calculation of probability available power transmission capability of the power system with the wind power plant, the problem that the air speed relevancy of an adjacent wind power plant is difficult to process in the calculation process is solved, and the calculation efficiency is improved under the premise that the accuracy is ensured. A series of Sigma points are selected according to a certain rule, infinite points are utilized to express the whole sample space, and an interior point method and an optimal power flow method are utilized to conduct definitive solution calculation on each sample, probability indexes such as the expectation and the standard difference of the probability available power transmission capability of the power system with the wind power plant are obtained, and the abundant probability indexes can provide reference to the operating personnel.

Description

technical field [0001] The invention belongs to the technical field of power transmission and distribution of electric power systems, and in particular relates to a method for acquiring available power transmission capacity of power systems including wind farms. Background technique [0002] The power generation, power consumption, power market operation, and system security and stability of modern power systems all have high requirements on the available transmission capacity. Therefore, how to efficiently and accurately calculate the available transfer capability (hereinafter referred to as ATC) has become an important part of electricity market research. [0003] With the continuous increase of wind power scale in my country, issues related to wind power grid integration and stability have become increasingly prominent. Since the wind speed is difficult to predict, intermittency and volatility bring new uncertainties to the system. How to deal with the uncertain factors...

AI Technical Summary

Problems solved by technology

[0005] Among the probabilistic methods, the traditional MCS method uses a large number of sampling simulations to simulate uncertain situations such as node power and equipment failure in the ATC model. The Monte Carlo calculation method, although the calculation time has been reduced, still requires a large number of sampling points to ensure the calculation accuracy; the probability ATC calculation based on the point estimation method has fast calculation speed and high precision, but the correlation processing is more complicated

Existing methods present the characteristics of large amount of calculation, time-consuming, and complex calculation of correlation processing, which is difficult to realize engineering application

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