Dynamic scheduling method of mixed-integer quadratic programming power system

Abstract

The invention discloses a dynamic scheduling method of a mixed-integer quadratic programming power system. The dynamic scheduling method comprises the steps that a dynamic scheduling mathematic model of the power system is built, wherein the model comprises an objective function and conditional constraints; the conditional constraints include a power balance constraint, a unit output constraint, a unit ramping constraint, a unit embargo area constraint and positive and negative standby constraints; the conditional constraints are converted into corresponding linear constraints by employing a mixed-integer encoding technology to convert the dynamic scheduling mathematic model into a mixed-integer quadratic programming model; and the mixed-integer quadratic programming model is solved by employing a default engineering optimization software package to obtain a corresponding power system scheduling scheme. Therefore, firstly, the feasibility of the finally obtained power system scheduling scheme and the dynamic scheduling effectiveness of the power system are ensured; and secondly, a global optimal solution, namely the optimal power system scheduling scheme can be obtained, and the dynamic scheduling method is suitable for large-scale calculation of an active scheduling plan of a unit.

Description

technical field [0001] The invention relates to the technical field of power system active power scheduling, and more specifically, relates to a mixed integer quadratic programming power system dynamic scheduling method. Background technique [0002] The dynamic scheduling of the power system is provided by many power plants, and supplies power to users through transmission, transformation, distribution, and power supply networks. [0003] In practical applications, the dynamic scheduling of the power system will be subject to some constraints to ensure the feasibility and effectiveness of the finalized power system scheduling scheme. Taking the output ramp constraint of generator sets as an example to illustrate, since the output ramp capability of each generator set in the power system is limited, when arranging the multi-period power system active power dispatch plan, it is necessary to consider the difference between adjacent dispatch periods. Crew climbing constraint. ...

AI Technical Summary

Problems solved by technology

With the introduction of unit ramp-up constraints, the active power output plan of the unit in the previous dispatch period will inevitably affect the output arrangement of the subsequent dispatch period. Scheduling problems often easily cause the ramp rate of generating units between certain scheduling periods to fail to meet the requirements of the power generation plan

In addition, from a mathematical point of view, the coupling effect between the output plans of generating units in different scheduling periods makes the power system dynamic scheduling problem a large-scale optimization problem, which will greatly increase the difficulty of solving the problem

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