Intelligent AVC system on-line control method based on preference decision theory

Abstract

The invention discloses an intelligent AVC system on-line control method based on a preference decision theory. The control method is achieved through a data obtaining subsystem, a multi-objective modeling and solving subsystem, an intelligent preferencedecision-making subsystem and an intelligent on-line automatic control subsystem, which are based on IEC61970 standard; a multi-objective reactive power optimization model is built through analysis of a power grid data model, and a pareto solution set of a multi-objective model is screened to determine the multi-objective optimal solution meeting the preference of operating staff through a preference decision-making method; an intelligent on-line control subsystem is used for sending optimum control schemes to all control devices; the optimal multiple-objective reactive power optimization control over a present power grid on the condition of multiple objects is achieved. The intelligent AVC system on-line control method based on the preference decision theory solves the problem that rapid optimal decision and on-line control can not be achieved by people from a multi-objective solution set on the condition of a complex power grid for a long time, power grid reactive power optimization intelligent decision and control are achieved, and economy safety and stable operation of the power grid are ensured.

Description

technical field [0001] The invention relates to an online control method of an intelligent AVC system based on preference decision-making theory, belonging to the field of automatic control of electric power systems. Background technique [0002] In recent years, people have done a lot of research on the methods of reactive voltage (AVC) control, and achieved a lot of results. The traditional reactive voltage (AVC) control aims at the minimum active network loss of the system, realizes reactive power layered and partitioned local balance, significantly improves the voltage qualification rate and power factor, and also improves the automation level of power grid dispatching. It has made important contributions to the safe and stable economic operation of the power grid. However, with the continuous development of the power grid, the traditional reactive power and voltage control has been unable to meet the complex needs of the modern power grid. The target is loss, and new ...

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Problems solved by technology

[0003] The present invention improves on the basis of various methods proposed and used by predecessors, proposes an intelligent AVC system based on preference decision-making theory and an online control method, and applies this method to actual online control to solve the problem of On-line decision-making and control of intelligent decision-making for reactive power and voltage optimization in complex power grids

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