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Dynamic state estimation method and system for constant temperature control load system

A technology of dynamic state estimation and constant temperature control, applied in information technology support system, power network operating system integration, AC network voltage adjustment, etc., can solve the problems of communication traffic limitation, large state estimation dimension, and large communication volume, etc. Effects of small problem scale, reduced measurement error, and reduced communication traffic

Active Publication Date: 2021-07-02
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007](1) There are a large number of constant temperature control loads. If you want to obtain the operating status of a single constant temperature control load, the state estimation dimension is large, and the required communication volume is large. The calculation High cost and communication cost
[0008](2) Due to the limitation of traffic, the number of real-time measurements of each load aggregation group is limited, and the state estimation problem of load aggregation group is an underdetermined problem. The traditional state estimation method Difficult to solve

Method used

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  • Dynamic state estimation method and system for constant temperature control load system
  • Dynamic state estimation method and system for constant temperature control load system
  • Dynamic state estimation method and system for constant temperature control load system

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Embodiment 1

[0038] According to an embodiment of the present invention, a dynamic state estimation method oriented to a constant temperature control load system is disclosed, referring to figure 1 , including the following steps:

[0039] (1) Cluster the constant temperature control loads of the monomers into K constant temperature control load aggregation groups, and obtain the average parameters of the load aggregation groups, that is, the thermal resistance, heat capacity, rated thermal power, thermoelectric conversion efficiency, and setting of the constant temperature control loads of the monomers The average value of temperature and temperature control dead zone;

[0040] Specifically, the K-means clustering method is used to cluster the constant temperature control loads of the monomers into K constant temperature control load aggregation groups, and the clustering parameters of the load aggregation groups are obtained.

[0041] It is assumed that the constant temperature control ...

Embodiment 2

[0090] In one or more embodiments, a dynamic state estimation system for a constant temperature control load system is disclosed, including:

[0091] The monomer constant temperature control load clustering module is used to cluster the monomer constant temperature control load into K constant temperature control load aggregation groups, and obtain the average parameters of the load aggregation group, that is, the thermal resistance, heat capacity, and rated heat of the monomer constant temperature control load. The average value of power, thermoelectric conversion efficiency, set temperature and temperature control dead zone;

[0092] The constant temperature control load aggregation group state prediction module is used to establish a bilinear state space model for each constant temperature control load aggregation group, and predict the state and aggregate power of each constant temperature control load aggregation group at time k;

[0093] The constant temperature control ...

Embodiment 3

[0096] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the dynamic state estimation method for the constant temperature control load system in the first embodiment. For the sake of brevity, details are not repeated here.

[0097]It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

[0098] The memory may include read...

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Abstract

The invention discloses a dynamic state estimation method and system for a constant-temperature control load system, and the method comprises the steps: clustering single constant-temperature control loads into K constant-temperature control load aggregation groups, and obtaining the average parameter of the load aggregation groups; establishing a bilinear state space model for each constant-temperature control load aggregation group, and predicting the state and aggregation power of each constant-temperature control load aggregation group at the moment k; and based on a singular value decomposition method and a weighted least square method with constraints, performing state estimation on each constant-temperature control load aggregation group to obtain a constant-temperature control load state estimation value. According to the method, a K-means clustering method is adopted to aggregate large-scale single constant-temperature control loads into load aggregation groups with similar parameters, so that the scale of state estimation problems is reduced, communication traffic is reduced, meanwhile, limited measurement information can be effectively utilized to achieve state sensing of an underdetermined constant-temperature control load system, and good estimation precision is obtained.

Description

technical field [0001] The invention relates to the technical field of constant temperature control loads, in particular to a dynamic state estimation method and system for constant temperature control load systems. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In recent years, the continuous development of smart grid technology provides conditions for load-side resources to participate in power system regulation. The smart grid integrates communication technology, automatic control technology, etc., and covers all aspects of the power system. It is the future development direction of the power grid. Its rapid development provides an open platform for power users to participate in the system. [0004] Among many household electrical facilities, constant temperature control loads such as air conditioners, refrigerators, water heaters, et...

Claims

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Application Information

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IPC IPC(8): H02J3/14H02J3/26H02J3/24
CPCH02J3/144H02J3/26H02J3/24H02J2203/10H02J2203/20Y04S20/222Y02E40/50Y02B70/3225
Inventor 张文张婷婷赵琪
Owner SHANDONG UNIV