Method for comprehensive online prevention and control decision making taking constrains of multiple types of safety and stability into consideration

Abstract

he invention discloses a method for comprehensive online prevention and control decision making, and the method meets the requirements for the constrains of the multiple types of safety and stability,and belongs to the prevention and control technical field of safety and stability in electric power systems. The method, directed to the features of large power grids, such as intertwining of multiple types of safety and stability problems and insufficient time for online decision making, proposes control performance indexes of adjustment measurements of electric generators, loads and capacitivereactance devices for a total of 11 types of safety and stability, such as transient safety and stability, dynamic safety and stability and static safety and stability, and independently lining up andselecting different types of measurements based on a comprehensive performance index of safety and stability, and enumerating and combining measurements selected by type, and applying a cluster computing platform to implement a quantitative estimation of the safety and stability of the measurements enumerated and combined; defining the calculation of the comprehensive decision-making of the transient safety and stability and the dynamic safety and stability as a phase, defining the calculation of the decision-making of the static safety and stability as an independent phase, optimizing the solution of the transient safety and stability and dynamic safety and stability problems, and adopting a cyclical iteration calculation scheme. The method can implement a method for fast and optimized online prevention and control decision making taking the constrains of multiple types of safety and stability into consideration.

Description

technical field [0001] The invention belongs to the technical field of power system safety and stability prevention control, more precisely, the invention relates to a comprehensive decision-making method for large power grid online prevention control considering multiple safety and stability constraints. Background technique [0002] The security and stability characteristics of large power grids are complex, and transient, dynamic, and static security and stability issues are intertwined. Effective adjustment measures for one type of security and stability may have adverse effects on another type of security and stability. Most of the existing methods are designed to solve a single security and stability problem. If you simply connect different types of security and stability methods together, it is very likely that you will not be able to find a comprehensive optimization that solves multiple types of security and stability problems at the same time. decision making. [...

AI Technical Summary

Problems solved by technology

[0002] The safety and stability characteristics of large power grids are complex, and transient, dynamic and static safety and stability problems are intertwined. Effective adjustment measures for one type of safety and stability may have adverse effects on another type of safety and stability

Most of the existing methods are designed to solve a single security and stability problem. If you simply connect different types of security and stability methods together, it is very likely that you will not be able to find a comprehensive optimization that solves multiple types of security and stability problems at the same time. decision making

[0003] The patent "on-line preventive control method for large power grid based on static and transient safety and stability modes" (ZL200710135089.2) proposes a preventive control decision calculation for transient power angle stability first, then transient voltage and frequency safety and stability, and equipment overload safety Strategy is a comprehensive optimization decision-making method that connects various safety and stability preventive control decision-making methods in series, and then achieves coordination among various safety and stability problems through iteration. This method is not much different in these types of safety and stability modes In other cases, a relatively optimized comprehensive decision can be obtained, but in other cases, only a feasible solution with a relatively large control cost can be obtained, or even a feasible solution cannot be obtained.

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