CN-121785408-B - Active and passive cooperative temperature control method for prefabricated cabin type transformer substation

CN121785408BCN 121785408 BCN121785408 BCN 121785408BCN-121785408-B

Abstract

The invention discloses an active and passive cooperative temperature control method for a prefabricated cabin type transformer substation, and relates to the technical field of intelligent environmental control of electric power facilities. The method comprises the steps of obtaining real-time operation data of a prefabricated cabin, constructing a thermal network model containing thermophysical parameters of the phase change material, estimating current phase change saturation of the phase change material and predicted temperature in the cabin in real time, monitoring deviation accumulated values of the predicted temperature and actual temperature, executing model parameter identification when the deviation accumulated values exceed a mismatch threshold, online correcting thermal resistance and thermal capacity parameters in the model, and finally generating and executing a cooperative control strategy by utilizing a rolling time domain optimization algorithm based on the corrected model and the current phase change saturation. The invention is used for solving the problems that the existing temperature control technology cannot sense the energy storage state of the phase change material, and the model mismatch is caused by the drift of physical parameters due to long-term operation, so that the cooperative control precision is reduced and the energy efficiency is reduced.

Inventors

JI YUE
ZHANG CHUNYU
Zhu Kunju
ZHANG XIAOFEN
LU YING
YIN CHUN
ZHANG ZHENG
WANG XIANG
HU WEILIANG
FENG QIAN
ZHU CAN
XU ZIFANG
WANG XIANG
ZHANG CHUNLONG
CHEN YU
LIU XINGJIANG
LI GANGJIAN
LI HUANYU

Assignees

安徽明生电力设计有限公司
国网安徽省电力有限公司六安供电公司

Dates

Publication Date: 20260512
Application Date: 20260305

Claims (10)

1. The active and passive cooperative temperature control method for the prefabricated cabin type transformer substation is characterized by comprising the following steps of: Acquiring real-time operation data of the prefabricated cabin; constructing a thermal network model containing thermal physical parameters of the phase-change material, taking real-time operation data as input, and obtaining the current phase-change saturation of the phase-change material and the intra-cabin predicted temperature through state estimation; Calculating the deviation between the predicted temperature and the actual monitored temperature, and judging whether the accumulated value of the deviation in a set time window exceeds a preset mismatch threshold value; if yes, executing model parameter identification to correct the thermal resistance parameter and the heat capacity parameter of the thermal network model; Based on the corrected thermal network model and the current phase change saturation, a cooperative control strategy of an active temperature control system and the passive temperature adjustment of the phase change material is generated by using a rolling time domain optimization method, and the cooperative control strategy is executed.
2. The method for active and passive collaborative temperature control of a prefabricated cabin substation according to claim 1, wherein the performing model parameter identification includes the steps of: controlling an active temperature control system to run for a preset test period at a preset power so as to manufacture active thermal disturbance in the cabin; Acquiring cabin temperature response data in a preset decay time during and after the active thermal disturbance, and constructing a system step response curve; Based on the step response curve, reversely solving a differential equation of the thermal network model by utilizing a system identification algorithm to obtain equivalent heat transfer resistance and effective heat storage capacity of the phase change material; and updating the thermal network model by using the equivalent heat transfer resistance and the effective heat storage capacity.
3. The method for controlling the active and passive cooperative temperature of the prefabricated cabin type transformer substation according to claim 1, wherein the cooperative control strategy of the active temperature control system and the passive temperature adjustment of the phase change material is generated by using a rolling time domain optimization method, and is obtained by establishing a multi-objective optimization function and solving a minimum value of the multi-objective optimization function, and the method comprises the following steps: Establishing a target optimization function, wherein the function comprises a weighted summation function of an energy consumption cost term, a temperature deviation penalty term and a device loss term, the energy consumption cost term is determined based on the predicted running power and the duration of an active temperature control system, the temperature deviation penalty term is determined based on the degree of deviation of the intra-cabin predicted temperature from the target temperature, and the device loss term is determined based on the start-stop switching times or the power adjustment amplitude of the active temperature control system in a prediction time domain; under the constraint condition that the temperature in the cabin is in a preset safety interval and the phase change saturation of the phase change material is in a physical limit range, solving a control sequence enabling the weighted summation function to reach the minimum value, and taking the control sequence as a cooperative control strategy.
4. The method for controlling the active and passive cooperative temperature of the prefabricated cabin type transformer substation according to claim 1, wherein the method further comprises a load prediction step before the cooperative control strategy of the active temperature control system and the passive temperature adjustment of the phase change material is generated by utilizing the rolling time domain optimization method based on the corrected thermal network model and the current phase change saturation: Collecting historical load data and historical meteorological data of electrical equipment in the cabin; predicting an in-cabin equipment heating value curve and an out-cabin environment temperature curve in a future setting time domain by using a time sequence prediction model; and taking the equipment heating value curve and the environment temperature curve as disturbance variables, and inputting the disturbance variables into a rolling time domain optimization algorithm for calculating an optimal control sequence in a future time domain.
5. The method of active and passive coordinated temperature control of a prefabricated substation of claim 1, wherein executing the coordinated control strategy comprises hierarchical control: When the estimated current phase change saturation is in an unsaturated zone and the predicted temperature in the cabin does not exceed a safety threshold in a first time domain in the future, generating an instruction for controlling the active temperature control system to keep closed or run with low power consumption so as to perform passive temperature adjustment by preferentially utilizing the latent heat of the phase change material; And when the current phase change saturation reaches a critical saturation threshold or the predicted temperature in the cabin exceeds a safety threshold in a first time domain in the future, generating an instruction for controlling the active temperature control system to start and supplementing cold.
6. The prefabricated cabin substation active and passive cooperative temperature control method of claim 5, wherein the cooperative control strategy further comprises night active restoration logic: If the current moment is in a preset night off-peak electricity price period and the day is a high-temperature working condition according to weather prediction, generating an instruction for controlling the operation of the active temperature control system on the premise of meeting the minimum temperature constraint of the prefabricated cabin until the current phase-change saturation of the phase-change material is reduced to a preset bottom value, so that pre-cooling energy storage of the phase-change material is completed by using the off-peak electricity price.
7. The method for controlling the temperature in cooperation with the active and passive operation of the prefabricated cabin type transformer substation according to claim 2, wherein the differential equation of the thermal network model is solved reversely by using a system identification algorithm, specifically a recursive least square method or a particle swarm optimization algorithm is adopted, the aim of minimizing the root mean square error between the output temperature of the model and the actually acquired step response curve is achieved, and the optimal parameter combination is searched for iteratively.
8. The method for active and passive collaborative temperature control of a prefabricated cabin substation according to claim 1, wherein the logic for calculating the current phase change saturation of the phase change material is: calculating an instantaneous heat flow value flowing through the phase change material layer based on the thermal network model; integrating the instantaneous heat value on a time axis to obtain accumulated heat absorbed or released by the phase change material; And comparing the accumulated heat with the total latent heat capacity of the phase change material to obtain a normalized phase change saturation value.
9. The method of claim 1, wherein the real-time operating data includes an external environment parameter, a multi-point temperature in the cabin, a real-time power of an electrical device in the cabin, and a current operating state of an active temperature control system.
10. The method of claim 1, wherein the cooperative control strategy comprises a switching sequence and a power setting of the active temperature control system in a future time domain.

Description

Active and passive cooperative temperature control method for prefabricated cabin type transformer substation Technical Field The invention relates to the technical field of intelligent environmental control of electric power facilities, in particular to an active and passive cooperative temperature control method of a prefabricated cabin type transformer substation. Background The prefabricated cabin of the transformer substation is widely applied due to the modularized construction advantage, but with the improvement of equipment integration level, the interior of the cabin presents the characteristic of high heat flux density, and the load fluctuation is severe. The equipment is continuously heated, so that local heat island effect is easy to be caused, if the electronic components are aged and accelerated or even down due to improper temperature control, severe requirements are provided for the stability and uniformity of environmental temperature control. The existing temperature control technology mainly comprises active mechanical refrigeration and passive phase change energy storage. The traditional air conditioner mainly adopts PID or simple temperature threshold logic to control cabin temperature, and the Phase Change Material (PCM) absorbs heat by utilizing solid-liquid transformation latent heat to play a certain role in peak clipping and valley filling. Currently, some technologies attempt to use the two in superposition in order to reduce the energy consumption of the system. However, the prior art has the remarkable defects that firstly, the traditional air conditioner control only depends on air temperature feedback, has strong hysteresis and is easy to cause frequent start-stop and temperature oscillation of equipment, secondly, in a cooperative system, a controller cannot sense the phase change saturation degree of the PCM in real time, so that the PCM is always saturated before a load peak and loses the heat buffering capacity, and most importantly, the traditional model prediction control scheme generally assumes constant physical parameters and ignores thermal resistance and heat capacity drift caused by dust accumulation, seal aging and material attenuation in long-term operation. Such "model mismatch" phenomenon may cause the control strategy to deviate from the optimal solution gradually and even fail completely, and the prior art lacks an effective online parameter identification and adaptive correction mechanism. Disclosure of Invention In order to overcome the defects in the prior art, the embodiment of the invention provides an active and passive cooperative temperature control method for a prefabricated cabin type transformer substation, which is used for estimating the phase change saturation in real time by constructing a thermal network model with phase change characteristics and identifying and correcting model parameters on line based on temperature prediction deviation so as to solve the problems that the prior art cannot sense the energy storage state of a phase change material and the cooperative control precision is reduced due to time-varying failure of the model parameters. In order to achieve the above purpose, the present invention provides the following technical solutions: The active and passive collaborative temperature control method for the prefabricated cabin type transformer substation comprises the following steps of obtaining real-time operation data of a prefabricated cabin of the transformer substation, constructing a prefabricated cabin thermal network model containing thermal physical parameters of a phase change material, taking the real-time operation data as input, calculating current phase change saturation of the phase change material and intra-cabin predicted temperature through a state estimation algorithm, calculating deviation of the predicted temperature and actual monitored temperature, monitoring an accumulated value of the deviation in a set time window, executing model parameter identification when the accumulated value exceeds a preset mismatch threshold, correcting thermal resistance parameters and thermal capacity parameters in the prefabricated cabin thermal network model according to identification results, generating a collaborative control strategy by utilizing a rolling time domain optimization algorithm based on the corrected prefabricated cabin thermal network model and the current phase change saturation, wherein the collaborative control strategy comprises a switching sequence and power setting of an active temperature control system in a future time domain, and executing the collaborative control strategy to realize collaborative operation of the active temperature control system and the passive temperature adjustment of the phase change material. In a preferred embodiment, the execution model parameter identification comprises the steps of controlling an active temperature control system to output refrigerating or heating pow