CN-121983897-A - Heat dissipation cooling method, device and equipment for intelligent bus duct

Abstract

The invention relates to the technical field of bus ducts, in particular to a heat dissipation cooling method, device and equipment for an intelligent bus duct. The method comprises the steps of dynamically correcting real-time joule heating power of a conductor through comprehensive harmonic skin effect and resistance temperature drift effect, identifying natural convection and forced cooling parameters on line according to different working conditions, generating fault factors by utilizing the residual error of measured temperature rise rate and model theoretical predicted value, constructing a multi-objective function comprising insulation ageing and mechanical stress cost, dynamically adjusting weight ratio of the two costs by utilizing fault response weight, and solving control instructions of a cooling fan. According to the invention, real heating in the conductor is quantified, and the integrated management of insulation service life and mechanical connection is considered in heat dissipation control by on-line identification of heat dissipation environment change, so that closed loop heat dissipation and cooling control is realized, the accuracy and reliability of bus duct heat management are effectively improved, and the integrated service life of equipment is prolonged.

Inventors

• WU DAHUA
• HUO MENGYANG

Assignees

• 青岛东山集团母线智造有限公司

Dates

Publication Date

20260505

Application Date

20260408

Claims (10)

1. 1. The heat dissipation and cooling method for the intelligent bus duct is characterized by comprising the following steps of: analyzing the influence of harmonic effect and resistance temperature drift based on the operation current and the shell temperature to obtain real-time Joule heating power; Based on real-time Joule heat power, shell heating rate and shell outside temperature difference, updating natural convection heat response coefficient under natural heat dissipation working condition, and combining air flow transmission hysteresis characteristic under forced air cooling working condition to obtain forced cooling gain coefficient; Comparing the actual observed value of the shell temperature with the theoretical predicted temperature rise, extracting residual factors and generating fault response weights; An operation cost function comprising insulation ageing cost and mechanical stress cost is constructed, the weight ratio of the insulation ageing cost to the mechanical stress cost is dynamically adjusted according to the fault response weight, the sensitivity gradient is analyzed by using the forced cooling gain coefficient, and the control instruction of the cooling fan is solved.
2. 2. The heat dissipation and cooling method of an intelligent bus duct according to claim 1, wherein the method for acquiring the real-time joule heat power comprises the following steps: Multiplying the square value of each harmonic component by a preset alternating current resistance gain coefficient and accumulating to obtain an equivalent heating current; The method comprises the steps of obtaining the temperature coefficient of resistance of a conductor material, correcting a conductor reference resistance by using the temperature of a shell to obtain a corrected resistance, and combining the corrected resistance and an equivalent heating current to obtain real-time Joule heating power.
3. 3. The method for cooling the bus duct according to claim 1, wherein the method for determining the natural convection thermal response coefficient comprises: Under the condition of meeting the natural heat radiation working condition, combining the temperature rising rate of the shell with the temperature difference outside the shell to obtain heat radiation responsivity; The natural convection thermal response coefficient at the previous moment is weighted and combined with the heating response degree by utilizing a preset forgetting coefficient, so that the natural convection thermal response coefficient at the current moment is obtained; If the natural heat radiation working condition is not satisfied, taking the natural convection heat response coefficient at the previous moment as the natural convection heat response coefficient at the current moment.
4. 4. The heat dissipation and cooling method of an intelligent bus duct according to claim 1, wherein the method for determining the forced cooling gain coefficient comprises: under the condition of meeting the forced air cooling condition, acquiring the duty ratio of the fan at the moment of a preset hysteresis cycle before the current moment, and combining the duty ratio of the fan with the temperature difference outside the shell to acquire a cooling driving index; and analyzing the rate deviation of the theoretical temperature rise rate and the shell temperature rise rate, and obtaining the forced cooling gain coefficient through the ratio of the rate deviation to the cooling driving index.
5. 5. The heat dissipation and cooling method of an intelligent bus duct according to claim 1, wherein the method for obtaining the theoretical predicted temperature rise comprises: Determining a cooling influence factor by combining a fan duty ratio, a forced cooling gain coefficient and an outside-shell temperature difference at a preset hysteresis period before the current moment; Taking the product of the real-time Joule thermal power and the natural convection thermal response coefficient at the current moment as a theoretical temperature rise rate, and taking the difference value of the theoretical temperature rise rate and the cooling influence factor as a theoretical predicted temperature rise.
6. 6. The method for cooling the intelligent bus duct according to claim 5, wherein the method for obtaining the fault response weight comprises the following steps: obtaining an abnormal deviation component according to the deviation of the shell temperature rising rate at the current moment and the theoretical predicted temperature rising rate; And determining the current fault response weight according to the exceeding degree of the residual factor at the current moment and the preset fault threshold value.
7. 7. The heat dissipation and cooling method of an intelligent bus duct according to claim 1, wherein the construction of the operation cost function comprises: The insulation aging cost term is in nonlinear positive correlation with the predicted shell temperature value, the mechanical stress cost term is in positive correlation with the change amount of the temperature rise rate, and the operation cost function is a weighted sum of the insulation aging cost term, the mechanical stress cost term and the fan energy consumption term.
8. 8. The method for cooling the intelligent bus duct according to claim 1, wherein solving the control command of the cooling fan comprises: According to the fault response weight, the weight of the insulation ageing cost is improved, the weight of the mechanical stress cost is reduced, the gradient direction of the running cost function relative to the fan control instruction is analyzed by using the forced cooling gain coefficient, and the current fan duty ratio is iteratively updated based on the gradient direction and the preset step length.
9. 9. An intelligent bus duct heat dissipation cooling device, the device comprising: The heat source sensing module is used for acquiring the running current and the shell temperature of the bus duct, analyzing the influence of harmonic effect and resistance temperature drift based on the running current and the shell temperature to obtain real-time Joule heat power; The environment change identification module is used for updating a natural convection heat response coefficient under a natural heat dissipation working condition based on real-time Joule heat power, a shell heating rate and an outside shell temperature difference, and combining an air flow transmission hysteresis characteristic under a forced air cooling working condition to obtain a forced cooling gain coefficient; the fault response evaluation module is used for calculating theoretical prediction temperature rise by utilizing the natural convection thermal response coefficient and the forced cooling gain coefficient, comparing an actual observed value of the shell temperature with the theoretical prediction temperature rise, extracting residual factors and generating fault response weights; and the multi-target self-adaptive control module is used for constructing an operation cost function comprising insulation ageing cost and mechanical stress cost, dynamically adjusting the weight ratio of the insulation ageing cost and the mechanical stress cost according to the fault response weight, analyzing the sensitivity gradient by using the forced cooling gain coefficient, and solving the control instruction of the cooling fan.
10. 10. A heat sink cooling device for an intelligent bus duct, said device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, characterized in that said processor, when executing said computer program, implements the steps of a heat sink cooling method for an intelligent bus duct according to any one of claims 1 to 8.

Description

Heat dissipation cooling method, device and equipment for intelligent bus duct Technical Field The invention relates to the technical field of bus ducts, in particular to a heat dissipation cooling method, device and equipment for an intelligent bus duct. Background The compact bus duct is used as core trunk equipment of a low-voltage power transmission and distribution system, and is widely applied to high-rise buildings and industrial fields. The internal conductors are compactly arranged and mainly rely on the metal shell for heat dissipation. However, with the popularization of nonlinear loads such as frequency converters and the like in a power grid, the skin effect and the proximity effect caused by a large amount of higher harmonic current lead to the remarkable increase of conductor alternating current resistance, and the metal conductor resistivity drifts along with the increase of temperature, so that the traditional heating estimation method based on the current effective value and the normal temperature resistance is seriously distorted. Because bus duct heat capacity is big, shell temperature response is lagged, and easily leads to connector contact resistance to increase because of expend with heat and contract with cold in long-term operation, produces hidden local overheated. The common temperature control means cannot distinguish normal load heating from contact fault heating, the single powerful cooling strategy is extremely easy to generate alternating thermal stress at the connecting part, local overheating generated by early contact faults is often covered by normal load heating, the local overheating is difficult to identify in time, and safety accidents are easy to generate. Disclosure of Invention In order to solve the defects of inaccurate heating estimation and delayed thermal response in the prior art, the influence of harmonic waves and temperature changes on conductor heating cannot be adapted, the on-line identification capability on the change of a heat dissipation environment is lacking, and hidden faults caused by poor contact of a connector are difficult to identify in an early stage, the invention aims to provide a heat dissipation cooling method, device and equipment of an intelligent bus duct, and the adopted technical scheme is as follows: the invention provides a heat dissipation cooling method of an intelligent bus duct, which comprises the following steps: analyzing the influence of harmonic effect and resistance temperature drift based on the operation current and the shell temperature to obtain real-time Joule heating power; Based on real-time Joule heat power, shell heating rate and shell outside temperature difference, updating natural convection heat response coefficient under natural heat dissipation working condition, and combining air flow transmission hysteresis characteristic under forced air cooling working condition to obtain forced cooling gain coefficient; Comparing the actual observed value of the shell temperature with the theoretical predicted temperature rise, extracting residual factors and generating fault response weights; An operation cost function comprising insulation ageing cost and mechanical stress cost is constructed, the weight ratio of the insulation ageing cost to the mechanical stress cost is dynamically adjusted according to the fault response weight, the sensitivity gradient is analyzed by using the forced cooling gain coefficient, and the control instruction of the cooling fan is solved. Further, the method for acquiring the real-time joule thermal power comprises the following steps: Multiplying the square value of each harmonic component by a preset alternating current resistance gain coefficient and accumulating to obtain an equivalent heating current; The method comprises the steps of obtaining the temperature coefficient of resistance of a conductor material, correcting a conductor reference resistance by using the temperature of a shell to obtain a corrected resistance, and combining the corrected resistance and an equivalent heating current to obtain real-time Joule heating power. Further, the method for determining the natural convection thermal response coefficient comprises the following steps: Under the condition of meeting the natural heat radiation working condition, combining the temperature rising rate of the shell with the temperature difference outside the shell to obtain heat radiation responsivity; The natural convection thermal response coefficient at the previous moment is weighted and combined with the heating response degree by utilizing a preset forgetting coefficient, so that the natural convection thermal response coefficient at the current moment is obtained; If the natural heat radiation working condition is not satisfied, taking the natural convection heat response coefficient at the previous moment as the natural convection heat response coefficient at the current moment. Further, the method for determi