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Power distribution network dynamic reconstruction method based on improved fuzzy C-means clustering algorithm

A technology of dynamic reconstruction and mean value clustering, which is applied in the direction of power generation forecasting, calculation, photovoltaic power generation, etc. in the AC network, and can solve the problem that the size similarity does not consider the timing of data, etc., and achieve reasonable segmentation results and reconstruction The effect of simple method and wide search area

Active Publication Date: 2022-01-04
CHINA THREE GORGES UNIV
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Problems solved by technology

However, when the FCM algorithm clusters power data, it only considers the size similarity and does not consider the timing of the data; at the same time, considering the impact of the number of segments on the reconstruction effect, it is necessary to determine the optimal number of time divisions

Method used

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  • Power distribution network dynamic reconstruction method based on improved fuzzy C-means clustering algorithm
  • Power distribution network dynamic reconstruction method based on improved fuzzy C-means clustering algorithm
  • Power distribution network dynamic reconstruction method based on improved fuzzy C-means clustering algorithm

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Embodiment

[0083] In order to verify the dynamic reconstruction effect with DG, photovoltaic and wind power distributed power sources are connected to the IEEE33 node system, and the access nodes are 5 nodes and 31 nodes. At the same time, the original data of wind power and photovoltaic DG prediction is based on the relevant data of the literature Lu Yang. Research on Active Distribution Network Reconfiguration Including Distributed Power [D]. Beijing: Beijing Jiaotong University, 2016. Carry out power prediction solution, the related power prediction value is as follows Figure 7 , Figure 8 shown.

[0084] According to the wind power, photovoltaic DG output and load power forecast data, the equivalent power curve diagram of the distribution network can be made, and the intraday reconstruction period division can be realized through the period division strategy. The equivalent power segment diagram is as follows Figure 8 shown. Depend on Figure 8 It can be seen from the segmentat...

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Abstract

The invention discloses a power distribution network dynamic reconstruction method based on an improved fuzzy C-means clustering algorithm, and the method comprises the steps: carrying out the day-ahead power prediction of DG output power and load power through an EEMD-SVR combined prediction model and historical power data; inputting a power distribution network initial parameter, a load power prediction amount, a DG prediction output value and other related initial parameters; constructing a segment-loss function according to the power prediction data to determine an optimal segment number; realizing intra-day dynamic reconstruction period division by improving a fuzzy C optimal clustering analysis algorithm; according to a clustering algorithm, determining a time period division scheme and an equivalent load center of each time period; performing static reconstruction optimization on each time period of the power distribution network by improving a bacterial foraging algorithm; and calculating and determining intra-day operation network loss and voltage fluctuation conditions of the power distribution network according to an optimization adjustment scheme of each intra-day reconstruction time period, and outputting solved related parameters. The method is simple and efficient, can be applied to the medium and low voltage distribution network with new energy access, and has certain popularization and practical values.

Description

technical field [0001] The invention relates to the technical field of distribution network dynamic reconfiguration, in particular to a distribution network dynamic reconfiguration method based on an improved fuzzy C-means clustering algorithm. Background technique [0002] In the actual operation of the distribution network, distribution network reconfiguration is an important optimization method for operation. By controlling the switching status of tie switches and section switches in the network, the goals of reducing network loss and balancing loads are achieved. Under the background that new energy is gradually connected to the distribution network on a large scale, the load of the grid and the output of distributed generation (DG) are always in a time-varying state, and the operation status of the distribution network is relatively complicated. It is difficult to achieve a multi-period distribution network through static reconstruction. Run state optimization. In orde...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06K9/62G06Q10/04G06Q50/06
CPCH02J3/00H02J3/003H02J3/004G06Q10/04G06Q50/06H02J2300/24H02J2300/28H02J2203/20G06F18/23213Y02E10/56Y04S10/50
Inventor 魏业文吴光源李俊杰
Owner CHINA THREE GORGES UNIV
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