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New energy typical scene construction method based on improved FCM clustering algorithm

A technology of clustering algorithm and construction method, which is applied in the directions of resources, computing, computer components, etc., can solve problems such as clustering number and new energy correlation discussion, and achieve the effect of small error, high computing efficiency, and obvious annual characteristics

Inactive Publication Date: 2019-08-09
LIYANG RES INST OF SOUTHEAST UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most studies have analyzed a large amount of actual load or wind power data through classical clustering algorithms, and obtained user load and wind power output scene sets that can more accurately reflect the actual characteristics. In-depth discussions on the correlation between multiple types of new energy in the same region

Method used

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  • New energy typical scene construction method based on improved FCM clustering algorithm
  • New energy typical scene construction method based on improved FCM clustering algorithm
  • New energy typical scene construction method based on improved FCM clustering algorithm

Examples

Experimental program
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Effect test

Embodiment 1

[0082] Example 1 uses the improved FCM clustering algorithm to divide the historical output data of wind power and photovoltaics into scenarios. In the clustering process, the clustering validity index calculation is performed first, and then the scenarios are divided after obtaining the optimal number of clusters. Taking wind power in this area as an example, calculate the clustering effectiveness CH of wind power output scenarios in each season (+) index, this paper adopts the extreme value normalization method to CH (+) Indicators are processed as follows:

[0083]

[0084] Clustering effectiveness of processed wind power output scenarios CH (+) Indicators such as figure 1 shown.

[0085] Depend on figure 1 It can be seen that the clustering effectiveness index CH of wind power in each season (+) The maximum value is taken at 2, that is, the optimal clustering number of wind power output scenarios in each season is 2. Similarly, the optimal clustering number of out...

Embodiment 2

[0092] Example 2 applies the typical scenario of wind power / photovoltaic output to the field of operating cost optimization of high-proportion new energy power systems. The minimum sum of operating costs is the optimization goal, and the maximum consumption of new energy is taken into account while economical operation is carried out. The objective function is:

[0093]

[0094] Among them, T represents the total number of simulation periods, c w is wind power penalty coefficient, c s is the photoelectric penalty coefficient, Indicates the predicted output of wind power in period t, Indicates the actual output of wind power in period t, Indicates the predicted output of the photoelectricity in the period t, Indicates the actual output of the photoelectricity in the period t, Indicates the actual output of thermal power in period t, a th , b th , c th is the thermal power generation cost coefficient, a s , b s , c s is the cost coefficient of wind power gener...

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Abstract

The invention discloses a new energy typical scene construction method based on an improved FCM clustering algorithm. The method comprises the following steps that S1, the FCM clustering algorithm isimproved by establishing a clustering effectiveness index function; S2, clustering division is performed on the new energy output historical data by utilizing an improved FCM clustering algorithm; andS3, a new energy output typical scene is selected in each category after clustering. According to the method, the new energy output characteristic of a new energy rich area is taken as a research object, the improved FCM algorithm is utilized to carry out clustering analysis on the historical time sequence output data of the new energy, original large-scale scenes are reduced and combined to obtain a plurality of representative new energy output scene sets, and the method has certain practical application value.

Description

[0001] Technical field: [0002] The invention relates to a construction method of a typical new energy output scene, in particular to a construction method of a new energy typical scene based on an improved FCM clustering algorithm. Background technique [0003] With the large-scale development and utilization of new energy in my country, new energy power generation continues to develop rapidly, and the scale of installed capacity growth continues to expand. With the continuous growth of new energy installed capacity and the continuous increase of the proportion of new energy in the grid power supply, the demand for new energy consumption has put forward higher requirements for the economic operation of the power system, the evaluation of the new energy consumption capacity of the power grid, and the formulation of power grid dispatching plans. requirements. Therefore, considering the seasonality and periodicity of new energy output such as wind power and photovoltaics, repr...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/06393G06Q50/06G06F18/2321
Inventor 高丙团凌静陈晨
Owner LIYANG RES INST OF SOUTHEAST UNIV
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