Resident user multi-objective optimization power utilization strategy and system based on data mining

A multi-objective optimization and data mining technology, applied in data processing applications, system integration technology, information technology support systems, etc., can solve problems such as large peak-to-valley differences, affecting reliable operation of power grids, etc.

Pending Publication Date: 2019-12-03
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The continuous increase of electricity load brings about the problem of large peak-to-valley difference, which greatly affects the reliable operation of the power grid.

Method used

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  • Resident user multi-objective optimization power utilization strategy and system based on data mining
  • Resident user multi-objective optimization power utilization strategy and system based on data mining
  • Resident user multi-objective optimization power utilization strategy and system based on data mining

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Effect test

Embodiment 1

[0074] The invention considers the user's power consumption comfort and optimizes the power consumption strategy of a single residential user. Firstly, preprocess the original electricity consumption data of residents, and use the K-means clustering method to extract the typical daily electricity consumption curve of users. Then analyze the working characteristics of household electrical equipment, establish its mathematical model and corresponding constraints; establish a correlation matrix according to the relationship between electrical equipment, adjust the operating period parameters of schedulable loads, and establish a model of user comfort with electricity. Finally, a multi-objective optimization model considering user comfort and load peak-to-valley difference is established, and a genetic algorithm is used to solve the model.

[0075] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawing...

Embodiment 2

[0123] Based on the same inventive concept, the present invention also provides a data mining-based multi-objective optimized power consumption system for residential users, including:

[0124] Acquisition module: used to obtain the original electricity consumption data of residential users;

[0125] Extraction module: used to extract the data from the user’s typical daily electricity consumption curve, and analyze the user’s electricity consumption characteristics;

[0126] Building block: used to establish a multi-objective power consumption model that considers user power consumption comfort and load peak-to-valley difference based on the power consumption characteristics;

[0127] Solving module: it is used to solve the multi-objective power consumption model by genetic algorithm, and obtain the optimal power consumption strategy to ensure the user's power consumption comfort and effectively reduce the peak-to-valley difference of power consumption.

[0128] After the acq...

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Abstract

According to the technical scheme provided by the invention, a resident user multi-objective optimization power utilization strategy based on data mining comprises the steps of obtaining original power utilization data of resident users; extracting a typical daily power consumption curve of the user from the data, and analyzing power consumption characteristics of the user; establishing a multi-target power utilization model based on the power utilization characteristics; solving the multi-target power utilization model by adopting a genetic algorithm to obtain an optimal power utilization strategy which ensures the power utilization comfort of the user and effectively reduces the power utilization peak-valley difference. According to the technical scheme provided by the invention, the peak-valley difference is reduced while the power utilization comfort of a user is effectively ensured, power generation and power utilization tend to be balanced, and the power supply pressure of a power utilization peak is reduced, so that the problems that the power utilization load is continuously increased, the reliable operation of a power grid is greatly influenced and the peak-valley difference is increased are solved.

Description

technical field [0001] The invention relates to the field of electric power demand response, in particular to a data mining-based multi-objective optimization electricity consumption strategy and system for residential users. Background technique [0002] At present, with the proposal and continuous advancement of the smart grid process, many information systems and platforms are effectively managing various smart devices to promote smart grid construction and improve the company's grid operation and management level. At the same time, grid companies have stored massive data. Did not demonstrate its informative value. With the continuous development of big data technology, data mining technology has received more and more attention, and the importance of user electricity consumption behavior analysis has become increasingly prominent. Using data mining methods, hidden information in user electricity consumption data can be effectively extracted . At the same time, with the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y02E40/70Y04S10/50
Inventor 赫卫国周宇孔爱良胥峥华光辉梁硕刘海璇
Owner CHINA ELECTRIC POWER RES INST
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