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User Load Combination Optimization Method Based on Simulated Annealing Algorithm

A simulated annealing algorithm and combined optimization technology, applied in computing, data processing applications, system integration technology, etc., can solve problems such as extensive substation power supply schemes, failure to fully release the main transformer capacity, and low utilization of substation outlet intervals. To achieve the effect of good scientific guidance

Active Publication Date: 2021-05-04
SOUTHEAST UNIV
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Problems solved by technology

But on the other hand, the capacity-to-load ratio of the grid is still slightly higher than the requirements stipulated in the guidelines, the utilization efficiency of substations is not high, the capacity of the main transformer has not been fully released, and some substations have been opened but are in light-load operation for a long time
In fact, the current installed capacity of many users far exceeds the actual load, resulting in relatively extensive power supply schemes for substations, and the utilization rate of substation outlet intervals is too low

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  • User Load Combination Optimization Method Based on Simulated Annealing Algorithm
  • User Load Combination Optimization Method Based on Simulated Annealing Algorithm
  • User Load Combination Optimization Method Based on Simulated Annealing Algorithm

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] 1. Load data analysis

[0034] Taking the daily load data of a certain city in Nanjing as a sample, first use spss programming to screen the data, eliminate wrong data, and supplement some necessary data to obtain preliminary data. Then use the K-means clustering algorithm to cluster the daily load data. Divide all users into five categories. Different clustering results reflect the characteristics of daily load curves of different user types. The clustering results are as follows: figure 1 shown.

[0035] The distribution of load is actually the arrangement and combination of these five types of load curves.

[0036] 2. Combination optimization model based on user load fluctuation characteristics

[0037] 2.1 Establishment and description of distribution network system

[0038] Suppose there is a distribution network system with n transformers, and the sys...

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Abstract

The invention provides a user load combination optimization method based on a simulated annealing algorithm. By analyzing the characteristics of user loads in various industries and based on the load characteristic model of electric power users, a comprehensive optimal method based on the peak-to-valley difference rate and average load rate of transformer load is proposed. In order to optimize the target user load combination optimization model, and based on the simulated annealing algorithm, the combination optimization algorithm is realized, which is used to plan and solve a more reasonable user load access scheme. It can provide data support for distribution network planning and user business expansion and installation, assist in decision-making of load access, improve the utilization rate of substations, balance the load rate of each transformer, and reduce the peak-to-valley difference, thereby improving the operation of the distribution network economics and reliability.

Description

technical field [0001] The present invention is based on the saturation analysis of the user's installed capacity based on the deep mining of the industry's electricity consumption characteristics, specifically, the user's load combination optimization based on the simulated annealing algorithm. Background technique [0002] With the continuous development of social economy, users' demand for electricity continues to grow, and the installed capacity of users has increased rapidly. Some real estate projects and large-scale commercial projects have a single project installed capacity that meets the requirements of new substations. high level. But on the other hand, the capacity-to-load ratio of the grid is still slightly higher than the requirements of the guidelines, the utilization efficiency of substations is not high, the capacity of the main transformer has not been fully released, and some substations have been opened but have been in light-load operation for a long time...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y02E40/70Y04S10/50
Inventor 王颖程天石胡杰徐璐陶秋岑
Owner SOUTHEAST UNIV
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