Reduction Method of Active Power Flow Constraints Based on Full Rank Discrimination in Scopf Model

Abstract

The invention discloses a method for reducing active power flow constraints of a SCOPF model based on full-rank discrimination. Aiming at the problem of a large scale of the SCOPF optimization model, the number of inequality constraints of SCOPF is greatly reduced through linear algebra operations and a determinant rank attribute judgment method, and the improvement is improved. The reliability of the generation of the optimal power flow strategy is guaranteed, the implementation effect of the optimal power flow strategy is guaranteed, and the solution time of the optimal power flow is shortened. Regardless of the form of direct current or alternating current, the calculation time of the SCOPF method reduced in scale by the method of the present invention is at the second level, and its calculation efficiency can meet the application requirements of the actual large-area power grid or provincial power grid. The method of the invention can improve the operating efficiency of the power grid, reduce power loss, and create good social and economic benefits for energy saving and emission reduction during the operation of the power grid.

Description

technical field [0001] The invention relates to a SCOPF model based on full rank discrimination and a method for reducing active power flow constraints by strict boundary identification of active power constraints, belonging to the field of power grid operation energy-saving optimal arrangement and dispatching optimal control. Background technique [0002] The safe operation of the power system should meet three types of constraints: ① system load requirements; ② operation constraints (no power flow and voltage overrun); ③ reliability constraints (can withstand the impact of certain expected faults). Generally, the optimal power flow is based on the power flow equation, and comprehensively optimizes the active and reactive power in terms of safety, economy, energy saving and loss reduction, and environmental friendliness. However, only the first two types of constraints are considered, and the reliability constraints are not considered. When a power equipment fails and goes ...

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Problems solved by technology

However, there are two problems in the above filtering methods: on the one hand, it is impossible to filter out all redundant constraints, and there are still many useless constraints left in the optimization model; on the other hand, the method of filtering constraints according to the size of the coefficient itself does not Irregularity may lead to changes in the feasible domain space, which may eventually lead to the optimized method not meeting the safe operation constraints, or not being economically optimal

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