Scheduling model solving method and system for power system containing renewable energy sources

A power system dispatching and renewable energy technology, applied in the field of power system dispatching model solution, can solve the problems of dispatchers' inconvenience and long time, and achieve the effect of improving computing efficiency and reducing complexity

Pending Publication Date: 2022-07-29
GUANGXI POWER GRID CORP +1
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Problems solved by technology

[0006] Aiming at the defects of the prior art, the object of the present invention is to provide a method and system for solving a power system dispatching model containing renewable energy, aiming at solving the problems of the existing joint chance constraint method in solving nonlinear mixed integers with many dimensions The model takes a long time, and it will bring a lot of inconvenience to the dispatchers when it is applied to the actual power system dispatching

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  • Scheduling model solving method and system for power system containing renewable energy sources
  • Scheduling model solving method and system for power system containing renewable energy sources
  • Scheduling model solving method and system for power system containing renewable energy sources

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[0056] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0057] The proposal of the "dual carbon" target puts forward higher requirements for the scheduling of a large proportion of renewable energy. It is an urgent problem to deal with its randomness without losing timeliness and accuracy.

[0058] Existing methods for dealing with the randomness of renewable energy are either time-consuming or less accurate. In view of this feature, the present invention proposes a method for improving the settlement efficiency of the joint opportunity constrained scheduling model, and improves the traditional joint opportunity constrained scheduling model. ...

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Abstract

The invention provides a renewable energy source-containing power system scheduling model solving method and system, and the method comprises the steps: firstly building a renewable energy source output scene-based joint opportunity constraint solving model, and then carrying out the preprocessing of an original scene through a bundle method, and obtaining a bundle scene set with the calculation complexity greatly reduced; and finally, according to the obtained bundle scene, establishing a solving model for converting the joint opportunity constraint into the deterministic constraint. According to the method, analysis and preprocessing are carried out by adopting a bundle thought, and a large number of similar scenes which do not influence a final solving result are integrated into a bundle, so that the complexity of the model is reduced, and the solving efficiency of the joint opportunity constraint is greatly improved while the solving accuracy is not influenced.

Description

technical field [0001] The invention belongs to the field of power system scheduling, and more particularly, relates to a method and system for solving a power system scheduling model with renewable energy. Background technique [0002] The proposal of the "dual carbon" target puts forward higher requirements for the scheduling of a large proportion of renewable energy. It is an urgent problem to deal with its randomness without losing timeliness and accuracy. At present, new energy power generation devices often have the characteristics of wide distribution and strong randomness. Therefore, multi-dimensional random variables are used to measure the new energy output of multi-regional power systems, and stochastic programming is a powerful method to solve optimization problems with random variables. , to study the stochastic programming method that can solve the optimization problem with multi-dimensional random variables, which is of great significance to the safe and stab...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/46G06N7/00G06N20/10G06K9/62
CPCG06Q10/04G06Q10/06313G06Q50/06H02J3/466G06N20/10H02J2203/20G06N7/01G06F18/2321
Inventor 陈雁孙艳莫东李秋文凌武能卓毅鑫林洁吴茵
Owner GUANGXI POWER GRID CORP
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