CN-122026492-A - Decoupling control method and system for electric heating coupling system

CN122026492ACN 122026492 ACN122026492 ACN 122026492ACN-122026492-A

Abstract

According to the decoupling control method and system for the electric heating coupling system, dynamic energy characteristics of fluid in a pipeline are accurately captured by establishing a heating medium kinetic energy inertia quantization model, and three-level dynamic decoupling control framework of millisecond level, second level and minute level is established, so that rapid response of power grid frequency fluctuation millisecond level, second level coordination control of heat supply flow and thermal inertia minute level compensation reconstruction of building are realized, wind power absorption efficiency is obviously improved only by optimizing a software algorithm on the premise that new hardware equipment is not needed, wind abandoning rate and pump station energy consumption are effectively reduced, safe and stable operation of an urban heating system is guaranteed, and multiple effects of improving overall energy efficiency of the system, enhancing peak regulation capacity of the power grid and reducing operation cost are achieved.

Inventors

TAN ZENGQIANG
Lian Xiaohan
LI JIANGAO
SU FANGWEI
XIE XIAOJUN
ZHAO YONG
WANG TUANJIE
GAO YANG
XUE XIN
LI XINGWANG

Assignees

华能沁北发电有限责任公司
西安热工研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260106

Claims (10)

1. The decoupling control method of the electrothermal coupling system is characterized by comprising the following steps of: S1, constructing a heat medium kinetic energy inertia quantization model; s2, constructing a three-level dynamic decoupling control architecture, and respectively setting a millisecond control layer, a second coordination layer and a minute reconstruction layer; S3, adjusting the charge and discharge power of the energy storage battery at the millisecond control layer according to the difference value of the actual demand power and the wind power; s4, adjusting the water supply amount of the pump station at the second-level coordination layer according to the temperature difference; And S5, compensating building thermal inertia which cannot respond in time due to adjustment of the millisecond control layer and the second coordination layer according to a pre-built building thermal inertia model at the minute reconstruction layer.
2. The method according to claim 1, wherein in the step S1, the thermal medium kinetic energy inertia quantization model is defined as: , Where ρ is the density of the fluid in the pipeline, u is the fluid velocity, and a is the fluid acceleration.
3. The method according to claim 1, wherein in the step S2, the three-stage dynamic decoupling control architecture includes: a millisecond control layer having a response time of less than 100 milliseconds; The second-level coordination layer has response time of 1-10 seconds; The minute-scale reconstituted layer has a response time of 1 to 60 minutes.
4. The method according to claim 1, wherein in the step S3, the control logic of the millisecond control layer includes: According to The charge and discharge power of the energy storage battery is calculated, Wherein F is the charge/discharge power of the energy storage battery at the time t, P is the fan reference power, eta is the charge/discharge efficiency of the energy storage battery, and Q is the target heat supply quantity.
5. The method according to claim 4, wherein in step S4, the second level coordination layer adjustment logic includes: According to The output frequency of the frequency converter is adjusted, Wherein f is the output frequency of the frequency converter, qref is the reference heat supply quantity, and k is the slope of the rotating speed-flow curve.
6. The method according to claim 1, wherein in step S5, the adjusting logic of the minute-level reconstruction layer comprises: According to The thermal inertia compensation is performed so that, Where E is building thermal inertia, ΔQ is thermal error, qloss is thermal loss.
7. The method of claim 1, further comprising a security constraint mechanism, the security constraint mechanism comprising: Troposphere safety constraints including anti-freeze protection, lightning protection and steady state protection; thermal insulation layer safety constraints, including pressure valve protection; the heat exchanger safety constraint comprises flow minimum protection; stability constraints, including stability protection of pump station, heat exchanger and make-up tank.
8. An electrothermal coupling system decoupling control system, comprising: The heating medium kinetic energy inertia quantization module is used for constructing a heating medium kinetic energy inertia quantization model, and the model is defined as Where ρ is the density of the fluid in the pipeline, u is the fluid velocity, and a is the fluid acceleration; The decoupling control module comprises a second-level control layer, a second-level coordination layer and a minute-level reconstruction layer, wherein the charge and discharge power of the energy storage battery is adjusted at the millisecond-level control layer according to the difference value between the actual demand power and the wind power, the water supply amount of the pump station is adjusted at the second-level coordination layer according to the temperature difference, and the building thermal inertia which cannot respond in time due to the adjustment of the millisecond-level control layer and the second-level coordination layer is compensated at the minute-level reconstruction layer according to a building thermal inertia model which is built in advance; the energy storage battery control module is used for controlling the energy storage battery according to the formula Calculating the charge and discharge power of the energy storage battery, wherein F is the charge and discharge power of the energy storage battery, P is the fan reference power, eta is the charge and discharge efficiency of the energy storage battery, and Q is the target heat supply quantity; The pump station control module is used for controlling the pump station according to the formula Adjusting the output frequency of the frequency converter, wherein f is the output frequency of the frequency converter, qref is the reference heat supply quantity, and k is the slope of a rotating speed-flow curve; building thermal inertia compensation module for providing a thermal inertia compensation for a building according to a formula Performing thermal inertia compensation, wherein E is building thermal inertia, deltaQ is thermal error, qloss is thermal loss; A security constraint module comprising: The troposphere safety restraint unit is used for realizing anti-freezing protection, lightning protection and steady-state protection, A heat insulating layer safety restraint unit for realizing the protection of the pressure valve, A heat exchanger safety restraint unit for realizing flow minimum protection, And the stability constraint unit is used for realizing stability protection of the pump station, the heat exchanger and the water supplementing tank.
9. An electronic device, comprising: one or more processors; a storage unit configured to store one or more programs that, when executed by the one or more processors, enable the one or more processors to implement the electrothermal coupling system decoupling control method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, is capable of realizing the electrothermal coupling system decoupling control method according to any one of claims 1 to 8.

Description

Decoupling control method and system for electric heating coupling system Technical Field The invention relates to the technical field of thermal power generation, in particular to a decoupling control method and a decoupling control system for an electric heating coupling system. Background In the prior art, a dynamic decoupling control method of an electrothermal coupling system mainly depends on temperature inertia adjustment, and as shown in patent CN111835040a and CN113471988a, the dynamic decoupling control method respectively proposes a strategy of utilizing wind turbine mechanical kinetic energy and a doubly-fed variable speed pumping and accumulating unit to participate in grid frequency modulation. However, these methods mainly focus on the conversion between electric energy and mechanical energy, and do not fully consider the application of the kinetic energy inertia of the heating medium in millisecond-level dynamic decoupling control, so that the response speed is limited to the minute level, and rapid energy supply and demand balance cannot be realized. In particular, patent CN119617502a and CN119933824A, although related to electrothermal coupling control, fail to solve the problem of millisecond-level response, and the hardware heat storage scheme proposed by patent CN118054443a increases the system retrofit cost. Therefore, the prior art has the defects of quick response and cost control, and limits the peak shaving capacity and economy of the electric heating coupling system when the frequency of the power grid fluctuates. Aiming at the problems, the application provides a millisecond-level dynamic decoupling control method of an electrothermal coupling system based on the kinetic energy inertia of a heating medium, which aims to break through the limitation of the prior art, realize the technical transition from a static parameter to a dynamic variable, optimize the energy supply and demand balance at a millisecond-level response speed, reduce the system transformation cost and improve the peak regulation capacity and the economy. Disclosure of Invention In a first aspect of the present disclosure, a decoupling control method for an electrothermal coupling system is provided, including the following steps: S1, constructing a heat medium kinetic energy inertia quantization model; s2, constructing a three-level dynamic decoupling control architecture, and respectively setting a millisecond control layer, a second coordination layer and a minute reconstruction layer; S3, adjusting the charge and discharge power of the energy storage battery at the millisecond control layer according to the difference value of the actual demand power and the wind power; s4, adjusting the water supply amount of the pump station at the second-level coordination layer according to the temperature difference; And S5, compensating building thermal inertia which cannot respond in time due to adjustment of the millisecond control layer and the second coordination layer according to a pre-built building thermal inertia model at the minute reconstruction layer. With reference to the first aspect, in step S1, the thermal medium kinetic energy inertia quantization model is defined as: , Where ρ is the density of the fluid in the pipeline, u is the fluid velocity, and a is the fluid acceleration. With reference to the first aspect, in step S2, the three-stage dynamic decoupling control architecture includes: a millisecond control layer having a response time of less than 100 milliseconds; The second-level coordination layer has response time of 1-10 seconds; The minute-scale reconstituted layer has a response time of 1 to 60 minutes. With reference to the first aspect, in step S3, the control logic of the millisecond control layer includes: According to The charge and discharge power of the energy storage battery is calculated, Wherein F is the charge/discharge power of the energy storage battery at the time t, P is the fan reference power, eta is the charge/discharge efficiency of the energy storage battery, and Q is the target heat supply quantity. With reference to the first aspect, in step S4, the adjusting logic of the second level coordination layer includes: According to The output frequency of the frequency converter is adjusted, Wherein f is the output frequency of the frequency converter, qref is the reference heat supply quantity, and k is the slope of the rotating speed-flow curve. With reference to the first aspect, in step S5, the adjusting logic of the minute-level reconstruction layer includes: According to The thermal inertia compensation is performed so that, Where E is building thermal inertia, ΔQ is thermal error, qloss is thermal loss. With reference to the first aspect, the method further includes a security constraint mechanism, where the security constraint mechanism includes: Troposphere safety constraints including anti-freeze protection, lightning protection and steady state protection; thermal