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Load-intensive urban smart park demand aggregation modeling method

A modeling method and intensive technology, applied in database models, structured data retrieval, prediction, etc., can solve problems such as differences in solution methods, differences in data storage and sources, differences in end-user energy supply equipment and energy supply forms, etc. , to achieve the effect of reducing the difficulty of operation and management, improving the overall energy efficiency, improving utilization efficiency and accuracy

Pending Publication Date: 2021-01-22
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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AI Technical Summary

Problems solved by technology

[0004] (2) There are differences in various typical end-user energy supply equipment and energy supply forms
(3) There are differences in the solution methods of the coordinated control model for different end-user energy optimization utilization
[0009] (2) There are differences in various typical end-user energy supply equipment and energy supply forms
(3) There are differences in the solution methods of the coordinated control model for different end-user energy optimization utilization
[0011] There are many types of end users in load-intensive urban smart parks, such as industrial users, public institutions, residential users, and data centers. They have different energy-consuming equipment and characteristics, and data storage and sources are different. From the perspective of the entire park cluster control for these users poses great difficulties

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  • Load-intensive urban smart park demand aggregation modeling method
  • Load-intensive urban smart park demand aggregation modeling method
  • Load-intensive urban smart park demand aggregation modeling method

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Embodiment Construction

[0059] There are a large number of user terminals in a load-intensive urban smart park, and the types are complex. There are differences in the energy consumption curves of industrial users, data centers, and public institutions. End users conduct energy consumption data analysis and data processing, use fuzzy clustering technology to aggregate and classify user loads, and then integrate the daily load forecast results of each category to obtain the total load forecast value of the area. The following is combined with the attached drawings and a Examples further illustrate the present invention.

[0060] (1) Establishing the source form of load data in load-intensive urban smart parks

[0061] The energy consumption and energy supply of various users in load-intensive urban smart parks coexist, and various users in load-intensive cities have successively settled in smart parks. The data sources of the park energy management platform are divided into the following five categori...

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Abstract

The invention discloses a load-intensive urban smart park demand aggregation modeling method, which starts with a database structure and a data source form of an energy management platform in a smartpark, proposes an original data integration and selection method, and extracts an energy consumption data set needing to be mined and processed. On this basis, a load-intensive urban smart park demandaggregation original data processing method is provided, energy consumption data of the load-intensive urban smart park is processed, and the utilization efficiency of the data is improved by processing, recognizing and correcting bad source data; then, energy consumption characteristics of the load-intensive urban smart park demand data are mined by applying a fuzzy clustering technology, and aload-intensive urban smart park demand aggregation model is established; by applying the result of demand aggregation modeling to park energy optimization scheduling, load optimization operation of multiple types of users in the load-intensive urban smart park can be realized, and thus the overall energy efficiency of the smart park is improved.

Description

technical field [0001] The invention relates to the technical field of energy comprehensive utilization, in particular to the energy comprehensive utilization of load-intensive urban smart parks, and in particular to a demand aggregation modeling method for load-intensive urban smart parks. Background technique [0002] At present, end users on the energy demand side of load-intensive urban smart parks have gradually become a collection of energy storage, combined cooling, heating and power supply, and loads. They have certain self-energy coordination capabilities. Load-intensive urban smart parks There are mainly three typical end users: industrial users, public institutions and data centers, each of which has different energy-consuming equipment and characteristics, which are specifically reflected in the following three aspects: [0003] (1) There are obvious differences in the characteristic curves of various typical end-user cooling, heating and electrical loads. The l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F16/215G06F16/28G06Q50/06G06Q50/26
CPCG06Q10/04G06Q10/0631G06Q50/06G06F16/215G06F16/285G06Q50/26Y02D10/00
Inventor 魏新迟周健时珊珊张小莲曾艾东邹宇航李恒聪
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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