Reactive power configuration method for new energy collection region based on big data mining

Abstract

The invention discloses a reactive power configuration method for a new energy collection area based on big data mining. The method comprises the following steps: collecting power grid parameters, historical operation data and constraint limit values of each plant station in the new energy collection area; obtaining reactive voltage operation indexes of each plant station through calculation; screening out a target plant station needing reactive compensation based on the reactive voltage operation index of each plant station; obtaining reactive voltage sensitivity of each plant station throughcalculation; and for each plant station in the target plant stations needing reactive power compensation, determining reactive power compensation equipment configured for each plant station and configuration capacity thereof based on the reactive power voltage operation indexes and the reactive power voltage sensitivity of each plant station. The method does not depend on a topological model of apower grid, can effectively evaluate the reactive voltage operation level of the new energy collection region under a long-time scale, and gives configuration suggestions in a targeted manner, thereby improving the reactive voltage management operation level of the power grid.

Description

technical field [0001] The invention belongs to the technical field of power system operation control, and in particular relates to a method for configuring reactive power in a new energy collection area based on big data mining. Background technique [0002] At present, the scale of new energy development is expanding year by year, and the rapid development of AC-DC hybrid power grids has brought great challenges to the safe operation of power grids. To accurately grasp the operation status of the power grid, analyze the weak links in the operation of the power grid, and reasonably plan the configuration type and capacity of reactive power compensation equipment are important means to improve the stability and economy of power grid operation. [0003] Traditional power system analysis is a model-based analysis method, and its results depend on the network topology and the accuracy of model parameters. The voltage and power factor evaluation indicators proposed by the curre...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a reactive power configuration method based on big data mining in the new energy collection area, which solves the problem of insufficient capacity of reactive power compensation equipment or unreasonable reactive power configuration types in the prior art technical issues

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