Boundary Identification Method of Power Constrained Feasible Region of Scuc Model Based on Rank Judgment

Abstract

The invention discloses a rank-judgment-based method for identifying the feasible region boundary of SCUC model power flow constraints. Boundary; obtain all feasible domain vertices and their corresponding equation boundary sets; count the feasible domain vertex sets corresponding to each equality boundary; judge whether each equation is a boundary constraint according to the vertices, and obtain all equation form boundary constraints; The boundary equality constraints are restored to a set of boundary inequality constraints in the feasible region; the method of the invention can effectively reduce the model size of the unit combination optimization problem, shorten the calculation time of the unit combination optimization, and then improve the reliability and robustness of the solution to the optimization problem; The application of the inventive method can increase the calculation speed of power grid energy-saving dispatching, improve the effect of energy-saving dispatching, reduce the operation loss of the power grid, thereby reduce carbon emissions, and achieve better energy-saving and environmental protection effects.

Description

technical field [0001] The invention relates to a method for identifying the boundary of a feasible region bounded by power flow constraints of a unit combination optimization model based on the judgment of the rank attribute of a linear equation, and belongs to the field of power grid energy-saving dispatching control under the background of an electric power market. Background technique [0002] Security Constrained Unit Combination (hereinafter referred to as SCUC) is one of the important daily tasks that grid companies, independent system operators (ISOs) or regional transmission organizations (RTOs) must complete in the daily electricity market, and it is also an important tool for power companies to optimize bidding strategies one. SCUC usually aims to minimize operating costs (generation costs, network loss costs, environmental costs, etc.) while satisfying all system-wide constraints, such as system requirements, backup requirements, safety-related transmission const...

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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; Irregularity may lead to changes in the feasible domain space, which may eventually lead to unusable unit combination results or not economically optimal

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