Power system safety monitoring method considering wind power uncertainty based on safety domain

Abstract

The present invention discloses a power system safety monitoring method considering wind power uncertainty based on a safety domain. The method mainly comprises a step of defining a security transition probability based on the safety domain, a step of using normal distribution as the probabilistic model of load and traditional power generation node injection power, using the Weibull distribution of double parameters to describe the random change of a wind speed, and thus establishing the probabilistic model of wind farm node injection power, and a step of calculating a safety transfer probability based on the expression of a safety domain boundary of a super plane form and a series expansion method based on a semi invariant. Based on the safety domain, the safety analysis is convenient, when a probability index is calculated, the unbearable calculation amount caused by the uncertainty of the node injection power is simplified to the great extent. According to the method, the rapid obtainment of an effect index which evaluates system safety by grid operation personnel is helped, and a visual result can be used for assisting the operation personnel to monitor a system stage to make preventive measures in advance.

Description

technical field [0001] The invention belongs to the field of power system safety evaluation, and in particular relates to a safety region-based power system safety monitoring method considering wind power uncertainty. Background technique [0002] In the security analysis, especially in the process of cascading blackout accident analysis, not only the transfer between the topological states of the system, but also the static and dynamic security constraints of the system must be taken into account. For a given topology state transition, when the node injection is determined, there are many methods and tools that consider the static and dynamic security constraints to determine whether the system is safe or not. deterministic), most of the existing researches are based on Monte Carlo simulation to conduct a large number of samples, make a deterministic safety judgment for each sampling point, and finally obtain the trajectory of system variables (that is, the probability safe...

AI Technical Summary

Problems solved by technology

However, due to the lack of a concise and convenient mathematical description of the previous security domain, when considering the uncertainty of node injection, there are serious difficulties in the calculation of security transition probability, so the research and application of security transition probability have stagnated.

Images