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A Nodal Load Forecasting Method Considering Source-Load Synergy

A load forecasting and node technology, applied in the field of electrical engineering, can solve problems such as lack of solutions, and achieve the effect of reliable decision-making basis

Active Publication Date: 2020-08-14
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] To sum up, in the existing technology, there is still no effective solution to the problem of considering the actual output of renewable energy power generation in the node load forecasting, which affects the source-load coordination.

Method used

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  • A Nodal Load Forecasting Method Considering Source-Load Synergy
  • A Nodal Load Forecasting Method Considering Source-Load Synergy
  • A Nodal Load Forecasting Method Considering Source-Load Synergy

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Embodiment Construction

[0039] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0040] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0041] In a typical implementation of the present application, such as figure 1 As shown, a nodal load forecast...

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Abstract

The invention discloses a node load prediction method considering source-load coordination, which comprises the following steps: acquiring node load historical data, including the actual output of renewable energy on the load bus bar and the actual load of the node; carrying out non-parametric estimation fitting on the renewable energy output curve, and reducing the theoretical output of renewableenergy under power limitation; reducing the theoretical load of the node under the condition of reducing load regulation; taking the theoretical load of nodes and the theoretical output of renewableenergy as input and the actual load of nodes as output, and training a neural network; obtaining a node total load prediction model based on source-load coordination; based on support vector machine (SVM) model, predicting the theoretical load of nodes and the theoretical output of renewable energy; inputting a prediction result to the node load prediction model, and obtaining the final node loadprediction value. The method can provide more reliable decision-making basis for future power system operation and dispatching.

Description

technical field [0001] The invention relates to the technical field of electrical engineering, in particular to a node load forecasting method considering source-load coordination, which is used for power system scheduling operation and control. Background technique [0002] The traditional nodal load forecasting technology is to simply process the nodal historical load data, and then select an appropriate forecasting model for forecasting according to the characteristics of the historical load data. [0003] However, as renewable energy is connected to medium and low-voltage power grids in a concentrated and distributed manner on a large scale, the power flow direction on nodes has changed accordingly, and at the same time, the inherent randomness and intermittent nature of renewable energy generation have also destroyed the load distribution of nodes. Fluctuation law, it is necessary to add the forecast of renewable energy power generation in the node load forecasting proc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 杨思赵龙王俊雄韩学山王明强李文博张杰曹相阳薄其滨孙东磊高效海刘冬
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
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