Two-stage mixed integer programming based electric power system dispatching method

Abstract

The invention discloses a two-stage mixed integer programming based electric power system dispatching method, which mainly comprises two stages: in the first stage, an economic dispatch problem of a non-convex electrical power system is converted into a mixed integer programming problem through linear processing and mixed integer coding technologies, and then a mixed integer programming model is solved by using an optimized software package, so that a satisfactory feasible solution is obtained; and in the second stage, according to the feasible solution obtained in the first stage, a force output section of a unit is compressed, then a mixed integer programming model is re-solved, and a final economic dispatch scheme of the electrical power system is obtained. According to the method disclosed by the invention, a valve-point effect of a generating unit, an embargo area constraint of the unit, a ramping constraint of the unit, network losses, and spinning reserve constraints can be considered, so that while the algorithm efficiency and the resolving quality are guaranteed, the method is applicable to the economic dispatch problem of different types of non-convex electrical power systems, therefore, the method has the advantages of effectively improving the efficiency and economical efficiency and the like of economic dispatch of electric power systems.

Description

technical field [0001] The invention relates to the technical field of power system economic dispatching, in particular to a power system dispatching method based on two-stage mixed integer programming, which can effectively deal with different types of power system economic dispatching problems. Background technique [0002] In the actual power system economic dispatch, there are many constraints, including the valve point effect of generating units, unit embargo zone constraints, unit climbing constraints, network loss and spinning reserve constraints, these constraints make the power system economic dispatch problem a non-trivial problem. Convex optimization problems, so traditional mathematical programming algorithms cannot [1][2] Directly applied to the above non-convex problems, there is still a lack of effective algorithms to solve different types of non-convex power system economic dispatch problems. Scholars have conducted research on the above non-convex problems ...

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Problems solved by technology

[0022] Aiming at the fact that many current methods cannot effectively deal with different types of power system economic scheduling problems, resulting in low efficiency and waste of resources, the present invention provides a power system scheduling method based on two-stage mixed integer programming, which can handle different types of The non-convex power system economic dispatch problem can effectively improve the efficiency and economy of power system economic dispatch

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