Electrical power system on-line safety and stability evaluation forecast failure collection adaptive selection method

Abstract

The invention relates to a self-adaptive screening method for an anticipated fault set in power system security and stability on-line assessment, which is suitable for determining the anticipated fault set in the static, transient and dynamic security and stability on-line assessment of the power system. The method adopts the core concept that the fault set required to be recalculated in the security and stability on-line assessment is determined according to the mode of the security and stability margin of all anticipated faults given by the security and stability on-line assessment in the previous round of the power network. The invention takes the power network security and stability margin and the security and stability mode as the quantitative index of the power network security and stability degree, takes the security and stability margin as the index, and screens the anticipated fault subset required to be recalculated from the anticipated fault universal set by combining the security and stability mode and the degree of change of the running state of the power network as the dynamic anticipated fault set which meets the practical demands of the engineering and is changed along with the running state of the power network; the scale of the anticipated fault set used for the security and stability on-line assessment under the current time section can be reduced, and the computing speed for the security and stability on-line assessment is increased.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof. More precisely, the invention relates to a self-adaptive screening method for predictive failure sets for online safety and stability evaluation of electric power systems. Background technique [0002] The power system is always subject to various disturbances during operation, such as short-circuit faults, equipment outages, etc. In order to ensure the safe, stable and reliable operation of the power system, it is necessary to evaluate the safety and stability of the power system after being subjected to various possible disturbances. As the scale of the power system gradually increases, the number of disturbances (predicted fault sets) that need to be evaluated for safety and stability will be large. The operating status of the power system is constantly changing, and online evaluation of the safety and stability of the power system has become an urgent nee...

AI Technical Summary

Problems solved by technology

However, to complete the safety and stability assessment of thousands of expected failures within 10 minutes, the scale of the computer group required will be very large.

The existing solution is to screen out a small number of

Images