Improved Monte Carlo method for solving section DC load flow model

Abstract

The invention discloses an improved Monte Carlo method for solving a section DC load flow model, and the method comprises the following steps: 1), establishing the section DC load flow model; 2), generating random variables in the sections of a corresponding load, generator active output and transmission line parameters through employing a stochastic simulation technique, wherein the random variables are called as scenes; 3), adding an extreme scene on the basis of the scenes generated at step 2), wherein the extreme scene indicates the upper and lower boundaries of the parameter section; 4),carrying out the statistical operation of the maximum and minimum values of the load flow variables in all scenes; 5) outputting a result which comprises a section calculation result of a phase angleand transmission power. The method provided by the invention employs the stochastic simulation technique for generating a series of scenes in the section of input data, and obtains the load flow section through the statistical operation of the maximum and minimum values of the load flow variables in the generated scenes. Moreover, the method further improves the precision of a section DC load flowmodel solution through the consideration to the extreme scene of the input data.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to an improved Monte Carlo method for solving an interval DC power flow model. Background technique [0002] The DC power flow model is a linearized model of the AC power flow model. It mainly simplifies the AC power flow model in the following four aspects: 1) The voltage amplitude of all nodes in the system is 1p.u. (per unit value); 2) Ignore all lines 3) ignore all reactive power balance equations; 4) ignore all non-standard transformation ratios of transformers. DC power flow is a method to quickly obtain the node voltage phase angle of the power grid and the rough results of the transmission power of each line. It is mainly used in practical projects such as transmission line operation management, transmission line expansion planning, and unit combination models considering safety. However, considering various internal and external uncertainties in the actual power grid...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the technical problems existing in the traditional algorithm to a certain extent, and proposes an improved Monte Carlo method for solving the interval DC power flow model. While using the Monte Carlo method to solve the interval power flow model, extreme scenarios are used to further improve the Monte Carlo method. The sampling efficiency of the Carlo method, thereby improving the accuracy of the existing interval DC power flow results and the efficiency of the interval DC power flow algorithm

Images