CN-121984322-A - Wind-solar converter switching device optimal control method, system and program product

CN121984322ACN 121984322 ACN121984322 ACN 121984322ACN-121984322-A

Abstract

The invention relates to the technical field of power electronics, and discloses a method, a system and a program product for optimally controlling a switching device of a wind-solar converter, wherein the method comprises the following steps: the method comprises the steps of obtaining a target multidimensional parameter set of the wind-light converter, carrying out power prediction by using a long-short-period memory network model, carrying out dynamic parallel control on the wind-light converter, and further predicting the junction temperature distribution of devices of the wind-light converter by combining control results. Meanwhile, the fault state of the parallel switching device in the wind-solar converter is subjected to multi-parameter fusion diagnosis, the fault redundancy switching strategy is determined based on the fault state of the real-time switching device, and finally the parallel control result, the prediction result, the multi-parameter fusion diagnosis result and the fault redundancy switching strategy are integrated to obtain the final switching device optimization control strategy of the wind-solar converter, so that the number of normal parallel devices and the redundancy of a heat dissipation system are obviously reduced on the premise of ensuring the current resistance and the thermal stability.

Inventors

LI ZONGSHANG
CHANG YONG
GUO YONGQI
FAN XIAOJIE
GOU LIFENG
ZHANG YULI

Assignees

中国长江三峡集团有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. The method for optimally controlling the switching device of the wind-solar converter is characterized by comprising the following steps of: Acquiring a target multi-dimensional parameter set of the wind-light converter, wherein the target multi-dimensional parameter set comprises operation parameters, environment parameters and device state parameters of the wind-light converter; Based on the target multidimensional parameter set, performing power prediction by utilizing a long-short-period memory network model and performing dynamic parallel control on the wind-light converter to obtain the optimal number of parallel switching devices, a parallel switching matrix control strategy and an intelligent current-sharing adjustment strategy of the wind-light converter; predicting device junction temperature distribution of the wind-light converter based on the optimal number of parallel switching devices and the target multidimensional parameter set, and determining a hierarchical heat dissipation strategy of the wind-light converter; Based on the target multidimensional parameter set, carrying out multiparameter fusion diagnosis on fault states of parallel switching devices in the wind-light converter, and determining a fault redundancy switching strategy of the wind-light converter; And determining a switching device optimization control strategy of the wind-solar converter based on the parallel switch matrix control strategy, the intelligent current sharing adjustment strategy, the hierarchical heat dissipation strategy and the fault redundancy switching strategy.
2. The method of claim 1, wherein obtaining a target multi-dimensional parameter set for the wind-solar converter comprises: acquiring an initial multidimensional parameter set of the wind-solar converter; normalizing the initial multi-dimensional parameter set to obtain a first multi-dimensional parameter set; and carrying out missing value filling processing on the first multidimensional parameter set to obtain the target multidimensional parameter set.
3. The method of claim 1, wherein based on the target multidimensional parameter set, performing power prediction by using a long-short-term memory network model and performing dynamic parallel control on the wind-light converter to obtain an optimal number of parallel switching devices, a parallel switching matrix control strategy and an intelligent current sharing adjustment strategy of the wind-light converter, comprising: based on the target multidimensional parameter set, a power prediction change data set is obtained through long-term and short-term memory network model processing, and the power prediction change data set comprises a future short-term power change trend and a power fluctuation mode recognition result; acquiring a preset constraint condition set and an objective function, wherein the objective function is used for representing that the total loss of the wind-solar converter is minimum; Based on the preset constraint condition set, solving the objective function by utilizing the objective multidimensional parameter set and the power prediction change data set to obtain the optimal number of parallel switching devices of the wind-solar converter; Comparing the optimal number of parallel switching devices with the number of real-time parallel switching devices of the wind-solar converter, and determining the parallel switching matrix control strategy, wherein the parallel switching matrix control strategy comprises enabling or disabling switching units according to device health status sequencing, and switching actions are executed at current zero crossing points; and determining the intelligent current sharing adjustment strategy based on the target multidimensional parameter set.
4. The method of claim 3, wherein determining the intelligent current sharing adjustment strategy based on the target multi-dimensional parameter set comprises: Calculating device current imbalance based on the target multi-dimensional parameter set; comparing the current unbalance degree of the device with a preset current unbalance degree threshold value; When the current unbalance of the device is larger than the preset current unbalance threshold value, calculating the phase difference of the rising edge of the driving signal based on the parasitic inductance and the current deviation of the device of the wind-solar converter; calculating the device gate resistance of the wind-solar converter; And determining the intelligent current sharing adjustment strategy as a dual correction strategy combining time sequence compensation adjustment and gate electrode resistance dynamic adjustment based on the rising edge phase difference of the driving signals and the device gate level resistance.
5. The method of claim 1, wherein predicting a device junction temperature distribution of the wind-solar converter based on the optimal number of parallel switching devices and the target multi-dimensional parameter set and determining a hierarchical heat dissipation strategy of the wind-solar converter comprises: obtaining a maximum allowable junction temperature value of the wind-solar converter, and determining a first target junction temperature value and a second target junction temperature value according to the maximum allowable junction temperature value; Based on the number of the optimal parallel switching devices and the target multidimensional parameter set, obtaining a device junction temperature prediction data set of the wind-solar converter through three-dimensional thermal resistance network model processing; when the junction temperature predicted value in the device junction temperature predicted data set is smaller than the first target junction temperature value, determining that the hierarchical heat dissipation strategy is a basic air cooling mode; when the junction temperature predicted value is larger than or equal to the first target junction temperature value and the junction temperature predicted value is smaller than the second target junction temperature, determining that the hierarchical heat dissipation strategy is in a liquid cooling pressurization mode; and when the junction temperature predicted value is greater than or equal to the second target junction temperature value, determining that the hierarchical heat dissipation strategy is a heat storage linkage mode.
6. The method of claim 5, wherein the method further comprises: and when the temperature rise rate value corresponding to the device junction temperature prediction data set is greater than or equal to a preset temperature rise rate threshold value, determining that the hierarchical heat dissipation strategy is a heat storage linkage mode.
7. The method of claim 1, wherein performing a multi-parameter fusion diagnosis of fault states of parallel switching devices in the wind-solar converter based on the target multi-dimensional parameter set and determining a fault redundancy switching strategy of the wind-solar converter comprises: based on the target multidimensional parameter set, carrying out multiparameter fusion diagnosis on the fault state of the parallel switching device in the wind-solar converter, and judging whether the parallel switching device has faults or not; And when the parallel switch device has faults, determining that the fault redundancy switching strategy is a redundancy guarantee strategy for quick isolation and hot plug replacement.
8. The wind-solar converter switching device optimizing control system is characterized by comprising a control device, a fan/photovoltaic side, a switching device unit, a heat radiation system, a power converter and a power grid; The control device comprises a long-period memory network prediction engine, a dynamic parallel decision module and a hot spot cooperative controller, wherein the long-period memory network prediction engine is integrated with a long-period memory network model, the dynamic parallel decision module is integrated with a preset constraint condition set and an objective function, and the hot spot cooperative controller is integrated with a three-dimensional thermal resistance network model; The switch device unit comprises a standby switch device unit, and the standby switch device unit adopts a plug and play design; The control device is configured to execute the wind-light converter switching device optimization control method according to any one of claims 1 to 7, obtain a switching device optimization control strategy of the wind-light converter, and control the switching device unit and the heat dissipation system by using the switching device optimization control strategy; The power converter is used for converting the electric energy transmitted by the fan/photovoltaic side and transmitting the converted electric energy to the power grid.
9. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the method of optimizing control of a switching device of a wind-solar converter according to any one of claims 1 to 7.
10. A computer program product comprising computer instructions for causing a computer to perform the method of optimizing control of a switching device of a wind-solar converter according to any one of claims 1 to 7.

Description

Wind-solar converter switching device optimal control method, system and program product Technical Field The invention relates to the technical field of power electronics, in particular to a method, a system and a program product for optimally controlling a switching device of a wind-solar converter. Background In the application field of wind-solar converters of renewable energy systems, high-voltage high-power scenes have strict requirements on parallel control and thermal management technology of switching devices. The prior related technology mainly adopts schemes such as fixed parallel connection, static thermal management, parallel connection of mixed devices and the like, but exposes a plurality of defects in practical application, and is difficult to meet the requirements of high-efficiency, reliable and low-cost operation of the converter. The existing fixed parallel technology improves power capacity through multi-machine parallel (such as carrier phase shift PWM), however, the technology needs to realize carrier synchronization by means of interconnection line communication, not only causes hardware cost increase, but also has the problem of insufficient current sharing precision, current imbalance exceeds 15%, overload operation of partial devices is easy to occur, static thermal management scheme triggers air cooling or liquid cooling heat dissipation based on a temperature threshold, a heat dissipation strategy is disjointed with dynamic fluctuation of wind-solar power, the defect of heat dissipation response lag exists, heat dissipation energy consumption is continuously high, a heat dissipation system far exceeding actual requirements is required to be configured for coping with extreme working conditions, resource waste is formed, the technology has the potential of improving efficiency for IGBT and SiC MOSFET hybrid devices, but has extremely strict requirements on matching of electric heating parameters of the devices (such as Vth difference is less than 0.1V), parasitic inductance difference caused by aging or batch difference of the devices is easy to cause current sharing failure in practical application, and parasitic inductance difference caused by asymmetric layout can cause grid voltage oscillation, switching loss and threaten system safety. The defects in the prior art further cause series of problems that firstly, the efficiency of a parallel connection technology is outstanding, the redundancy devices continuously work to generate unnecessary switching loss under the low-generating-capacity light-load working condition, so that the overall efficiency of a converter is obviously reduced, the ageing of the devices is accelerated, a large number of redundancy devices which are pre-configured for peak load demands are insufficient in utilization rate under normal conditions, so that the hardware cost and space occupation are greatly increased, excessive design waste is formed, the prior art lacks a power prediction and pre-adjustment mechanism, the frequent switching and temperature rise runaway risk of the devices is easily caused due to control hysteresis, secondly, dynamic current sharing and thermal management are mutually disjointed, the current distribution is uneven due to insufficient precision of the traditional current sharing technology, the ageing of the devices is caused, the reliability of the system is influenced, meanwhile, the heat dissipation system cannot respond to the rapid fluctuation of wind-solar power timely based on the design triggered by a steady-state temperature threshold value, the problems of higher heat dissipation energy consumption and resource waste are further aggravated, thirdly, the parallel connection of the hybrid devices is difficult in landing, the complexity of parameter matching and the instability caused by parasitic effect, and standardized control is difficult to adapt to the actual application scene, and the popularization and application technology is limited. In summary, the prior art has obvious short plates in the aspects of parallel architecture efficiency, thermal management cooperativity, dynamic control capability, hybrid device compatibility and the like of the wind-solar converter switching device, and cannot consider the running efficiency, reliability and cost control of the converter. Disclosure of Invention The invention provides an optimal control method, system and program product for a wind-light converter switching device, which are used for solving the problems that the prior art has obvious short plates in the aspects of parallel architecture efficiency, thermal management cooperativity, dynamic control capability, hybrid device compatibility and the like of the wind-light converter switching device, and cannot consider the running efficiency, reliability and cost control of the converter. In a first aspect, the invention provides an optimal control method for a switching device of a wind-solar converter, which is