A multi-energy synergistic complementary system for thermoelectric power generation failure

Abstract

This invention relates to the field of multi-energy synergy technology, specifically to a multi-energy synergistic and complementary system for thermoelectric power generation failures. It includes a priority assessment module and a dispatching route simulation module. The invention uses the priority assessment module to collect the energy status of the multi-energy power generation systems that coordinate with the thermoelectric power generation system, calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the project to be powered, assesses the priority of different energy power generation systems based on the matching degree, and uses the priority of the energy power generation systems as a condition for energy synergy and complementarity to perform adaptive energy switching. This matches appropriate energy switching for different failure causes of the thermoelectric power generation system, rationally utilizes the advantages of different energy sources, and improves the adaptability after energy switching. Simultaneously, the dispatching route simulation module provides adaptive switching routes, further improving the adaptability after energy switching.

Description

Technical Field

[0001] This invention relates to the field of multi-energy synergy technology, and more specifically, to a multi-energy synergy and complementarity system for thermoelectric power generation failure. Background Technology

[0002] Thermoelectric power generation technology is based on the Seebeck effect, and its core is to directly convert thermal energy into electrical energy through thermoelectric materials under temperature difference conditions.

[0003] In practical applications, the complexity of the system often leads to frequent failures. Therefore, in order to avoid affecting the power supply status, the thermoelectric power generation system is combined with other energy power generation systems to form a multi-energy collaborative system. After the thermoelectric power generation system fails, it will automatically switch to other energy sources to provide continuous power supply and maintain the power supply status of the current power supply project.

[0004] In reality, the causes of failure in thermoelectric power generation systems are diverse, such as degradation of thermoelectric material performance, failure of thermal management, and damage to mechanical structures. The corresponding failure states are also different, and the final impact will also vary, such as the duration of power outage. When a thermoelectric power generation system fails, it needs to be converted to power through other complementary energy sources. However, the power supply principles of each energy source are different, and the corresponding power supply effects will also vary, such as power supply speed and power supply quantity. The existing multi-energy collaborative complementary systems have fixed power supply routes, making it difficult to adapt to failure states. This results in inconsistent power conversion effects and an inability to rationally utilize the power supply advantages of different energy sources.

[0005] To address the aforementioned issues, there is an urgent need for a multi-energy collaborative and complementary system capable of adaptive power supply conversion during thermoelectric power generation failures. Summary of the Invention

[0006] The purpose of this invention is to provide a multi-energy collaborative and complementary system for thermoelectric power generation failures. This system uses a priority assessment module to collect the energy status of multiple energy generation systems that coordinate with the thermoelectric power generation system. It calculates the degree of matching between the current energy status of different energy generation systems and the actual impact conditions of the project to be powered. Based on the matching degree, it assesses the priority of different energy generation systems. Using the priority of the energy generation systems as a condition for energy collaborative complementarity, it performs adaptive energy switching. A route simulation module provides adaptive switching routes, and based on the switching routes, it plans the energy switching at different time points to solve the problems mentioned in the background art.

[0007] The power supply routes of multi-energy collaborative and complementary systems are fixed, making it difficult to adapt to fault conditions and make reasonable use of the power supply advantages of different energy sources.

[0008] To achieve the above objectives, a multi-energy collaborative and complementary system for thermoelectric power generation failure is provided. The thermoelectric power generation failure prediction module predicts the thermoelectric power generation system in real time, and the actual impact condition classification module combines the current thermoelectric power generation power supply status to obtain the actual impact conditions of the project to be powered. The actual impact conditions are used as the numerical basis for switching energy systems in the later stage.

[0009] Furthermore, the priority assessment module collects the energy status of multi-energy power generation systems that cooperate with the thermoelectric power generation system, calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the project to be powered, assesses the priority of different energy power generation systems based on the degree of matching, and coordinates with the energy matching module to allocate energy systems according to the initial priority. This not only matches the appropriate switching energy at the current time of thermoelectric power generation failure, but also obtains the energy status of subsequent energy systems in real time and performs secondary energy switching according to the predetermined initial priority, further improving the energy adaptability effect.

[0010] Furthermore, the matching degree of each dispatch route is calculated by the dispatch route simulation module based on the power supply results and the predicted fault manifestations. The matching degree is evaluated separately by the overall cost and the overall carbon emissions, and the corresponding matching degree is used as the matching basis to provide an appropriate switching route for different types of thermoelectric power generation faults.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0012] In this multi-energy collaborative and complementary system for thermoelectric generator failures, the priority assessment module collects the energy status of the multi-energy generator systems that cooperate with the thermoelectric generator system, calculates the degree of matching between the current energy status of different energy generator systems and the actual impact conditions of the project to be powered, assesses the priority of different energy generator systems based on the degree of matching, and uses the priority of energy generator systems as the condition for energy collaboration and complementarity to carry out adaptive energy switching. This matches appropriate energy switching for different failure causes of the thermoelectric generator system, makes reasonable use of the advantages of different energy supply, and improves the adaptability after energy switching. At the same time, the dispatching route simulation module provides adaptive switching routes, and plans the corresponding energy switching at different time points according to the switching routes, further improving the adaptability after energy switching. Attached Figure Description

[0013] Figure 1 This is a block diagram of the overall system structure of the present invention.

[0014] The meanings of the labels in the diagram are as follows:

[0015] 10. Thermoelectric power generation fault prediction module;

[0016] 20. Module for classifying actual influencing conditions;

[0017] 30. Priority allocation evaluation module;

[0018] 40. Allocate energy matching modules;

[0019] 50. Route allocation simulation module. Detailed Implementation

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1 As shown, a multi-energy collaborative and complementary system for thermoelectric power generation failure is provided, including a thermoelectric power generation failure prediction module 10, an actual impact condition classification module 20, an allocation priority evaluation module 30, an energy allocation matching module 40, and an allocation route simulation module 50.

[0022] The thermoelectric power generation fault prediction module 10 responds to faults in the thermoelectric power generation system, collects real-time system data, and predicts the fault manifestation based on the system data.

[0023] The actual impact condition classification module 20 combines the current thermoelectric power generation power supply status to obtain the actual impact conditions of the project to be powered.

[0024] The priority assessment module 30 collects the energy status of the multi-energy power generation system that works in conjunction with the thermoelectric power generation system, calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the project to be powered, and assesses the priority of different energy power generation systems based on the degree of matching.

[0025] The energy matching module 40 allocates the corresponding energy power generation system according to the priority of the energy power generation system at different power supply time points, and collects the actual power supply results.

[0026] The dispatching route simulation module 50 calculates the matching degree of each dispatching route based on the power supply results and the predicted fault manifestations, and updates the optimal dispatching route for each fault manifestation based on the matching degree.

[0027] The details are as follows:

[0028] Under normal power supply conditions, power supply still needs to be processed through thermoelectric power generation system. When thermoelectric power generation fails, the different types of failures will have different manifestations. Therefore, the first step is to respond to the failure of thermoelectric power generation system through thermoelectric power generation failure prediction module 10, collect real-time system data, and predict the failure manifestation based on the system data. For example, failures caused by thermoelectric material performance degradation, failures caused by thermal management failure, mechanical and structural damage, circuit and control system failures, and system efficiency decline are all possible failure manifestations. For failures caused by thermoelectric material performance degradation, the collected real-time system data is reflected by the system output voltage and short-circuit current. The annual decrease in output voltage and short-circuit current is compared to determine the failure. These output voltages and short-circuit currents serve as the system data in the corresponding prediction process.

[0029] In the specific prediction process, the first step is to combine the industry standards for thermoelectric generator (TEG) failures to obtain the system data and normal ranges corresponding to various TEG failures. For example, in the case of failures caused by thermal management failures, the corresponding system data is temperature difference. The temperature difference between the hot and cold ends exceeds 50°C due to fluctuations in the heat source or poor heat dissipation at the cold end, exceeding the threshold and triggering a TEG failure. Based on the feedback of monitoring data, the detection sequence of various system data is determined. The monitoring data here refers to abnormal values ​​under the fault state, such as insufficient power supply displayed by the power supply end. By using this monitoring data, the current TEG failure can be predicted in advance. Then, the corresponding system data is detected based on the advance prediction results to perform secondary verification and obtain the final prediction result.

[0030] After completing the prediction of thermoelectric generator failures, due to the different actual power supply projects (here referring to the power supply project being the recipient of the thermoelectric generator system), the corresponding power supply requirements are different. For example, if the supply project is a factory assembly line, its operation needs to be continuous. At this time, the corresponding power supply requirements are very strict in terms of power outage time, that is, the time from power outage to power restoration cannot be too long. However, if the supply project is to charge electrical appliances, the focus is on fully charging the electrical appliances. Therefore, the corresponding focus is on the amount of electricity stored. In order to obtain the actual needs of each power supply project, the actual impact conditions of the project to be supplied are obtained by combining the actual impact conditions classification module 20 with the current thermoelectric generator power supply status.

[0031] Specifically, such as Figure 1As shown, the actual influencing conditions in this scheme include power supply speed, response time, and energy storage. Power supply speed refers to the actual power supply speed of the energy switching. In the specific power supply process, when the power supply project has charging requirements, it is necessary to consider whether the actual power supply speed of the energy switching can meet the needs of the current power supply project. Response time is the time required to switch from thermoelectric power generation to the current energy generation, i.e., the switching interval time difference. Energy storage is the stored energy of the current energy switching.

[0032] Furthermore, since different switching energy sources have different advantages and address different actual needs, when a thermoelectric power generation failure occurs, it is necessary to match the most suitable switching energy source according to the type of thermoelectric power generation failure. This is achieved by using the priority assessment module 30 to collect the energy status (here, energy status refers to the actual influencing conditions) of the multi-energy power generation system that coordinates with the thermoelectric power generation system. Figure 1 As shown, the energy switching involved in this solution includes thermal power supply, thermal power supply, new energy power supply and green energy power supply. The current collaborative power supply work is controlled by the corresponding power supply mode and control terminal. The corresponding influence conditions of each power supply mode are collected in real time. For new energy power supply, since it is greatly affected by the environment, it will cooperate with the battery to store electricity in its power generation state to ensure subsequent power supply needs.

[0033] Then, the degree of matching between the current energy status of different energy generation systems and the actual impact conditions of the projects to be supplied with electricity is calculated. Based on the degree of matching, the priority of different energy generation systems is assessed. The specific calculation method is as follows:

[0034] Collect the power supply demand of the current power supply project, and obtain the numerical range of the corresponding actual influencing conditions according to the power supply demand. For example, in a certain power supply project, the required power supply speed range is as follows: The response time range requirement is to meet The following electrical storage range requirements must be met. In order to ensure that the switched energy can be adapted, its corresponding energy status needs to meet its power supply requirements. Therefore, it is necessary to combine the operating status of each energy system to obtain the actual power supply values ​​of each energy status of the current energy system, namely power supply speed, response time and energy storage. The corresponding actual power supply values ​​are compared with the value range corresponding to the actual influencing conditions. Energy systems whose actual power supply values ​​all meet the corresponding value range are marked as the energy systems to be allocated at the current time point (i.e., the time point when the thermoelectric power generation failure occurs and the new energy needs to be switched). Otherwise, they are not regarded as the energy systems to be allocated at the current time point.

[0035] It is worth noting that, due to the different power supply methods of different energy systems, the energy status varies at different times. When multiple energy systems are designated as energy systems to be allocated, in order to better allocate them, it is necessary to plan the initial priority of each energy system in advance. The priorities, from high to low, are green energy power supply, new energy power supply, thermal power supply, and thermal power supply. During the energy allocation process, the energy matching module 40 allocates the corresponding energy power generation system according to the priority of the energy power generation system at different power supply times and collects the actual power supply results. That is, when multiple energy systems are designated as energy systems to be allocated, they are allocated according to the initial priority. For example, when the energy status of new energy power supply and thermal power supply meets the numerical range corresponding to the actual influencing conditions, both energy systems are designated as energy systems to be allocated. Since the priority of new energy power supply is higher than that of thermal power supply, new energy power supply is the final energy system to be allocated.

[0036] Furthermore, since the energy status of each energy system will change over time, during the entire energy status switching process, new energy systems will meet the requirements of the energy system to be allocated. At this time, it is necessary to determine whether the initial priority of the newly qualified energy system is higher than the initial priority of the currently allocated energy system.

[0037] If the initial priority of a newly qualified energy system is higher than that of the currently allocated energy system, the newly qualified energy system will undergo a second energy switch and become the allocated energy system at the current time.

[0038] Conversely, if the initial priority of a newly qualified energy system is not higher than the initial priority of the currently allocated energy system, the currently allocated energy system will be maintained.

[0039] To reduce switching time and improve switching efficiency under the same fault conditions in the future, the route allocation simulation module 50 calculates the matching degree of each allocation route based on the power supply results and the predicted fault manifestations. The optimal allocation route for each fault manifestation is updated according to the matching degree. The specific method is as follows:

[0040] First, historical dispatch routes are collected to obtain the power supply percentage of each energy system in the historical dispatch routes, i.e., the corresponding power supply duration. The unit cost and unit carbon emission of each energy system are also obtained. The overall cost of the historical dispatch routes is calculated based on the power supply percentage. =The sum of the products of the electricity supply share of each energy system and the unit cost, and the overall carbon emissions of historical allocation routes are calculated. =The sum of the products of the electricity generation share of the energy system and the unit carbon emissions, and finally the final matching degree of the historical allocation routes is calculated.= ,in Assigning weights to the overall cost. Regarding the allocation weights for overall carbon emissions, it is worth noting that... and The values ​​need to be adjusted according to the needs of the power supply project. For example, for environmentally conscious companies, the allocation weight of their carbon emissions needs to be adjusted. It will decrease, because for energy-saving companies, the consideration is the cost of electricity supply, and therefore the corresponding weight in the overall cost allocation. It will reduce the matching degree of each historical allocation route, evaluate the historical allocation routes according to the matching degree, and take the historical allocation route with the highest matching degree as the best allocation route.

[0041] This invention uses a priority assessment module 30 to collect the energy status of a multi-energy power generation system that works in conjunction with a thermoelectric power generation system. It calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the project to be powered. Based on the degree of matching, it assesses the priority of different energy power generation systems. Using the priority of energy power generation systems as a condition for energy synergy and complementarity, it performs adaptive energy switching. It matches appropriate energy switching for different fault causes of the thermoelectric power generation system, rationally utilizes the advantages of different energy sources, and improves the adaptability after energy switching. At the same time, the allocation route simulation module 50 provides adaptive switching routes, and plans energy switching at different time points according to the switching routes, further improving the adaptability after energy switching.

[0042] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-energy collaborative complementary system for thermoelectric power generation failure, characterized in that: It includes a thermoelectric power generation fault prediction module (10), an actual impact condition classification module (20), an allocation priority assessment module (30), an energy allocation matching module (40), and an allocation route simulation module (50). The thermoelectric power generation fault prediction module (10) responds to thermoelectric power generation system faults, collects real-time system data, and predicts the fault manifestation based on the system data. The actual impact condition division module (20) obtains the actual impact conditions of the project to be powered by the current thermoelectric power generation power supply status. The switching energy involved in the actual impact condition division module (20) includes thermal power supply, thermal power supply, new energy power supply and green energy power supply; The actual impact conditions in the actual impact condition division module (20) include power supply speed, response time, and electrical storage; The power supply speed refers to the actual power supply speed when switching energy sources. Response time is the time required to switch from thermoelectric power generation to the current energy source. Electrical storage refers to the amount of electricity stored during the current energy switch; The priority assessment module (30) collects the energy status of the multi-energy power generation system that works in coordination with the thermoelectric power generation system, calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the project to be powered, and assesses the priority of different energy power generation systems based on the degree of matching. The energy matching module (40) allocates the corresponding energy power generation system according to the priority of the energy power generation system at different power supply time points and collects the actual power supply results; The dispatching route simulation module (50) calculates the matching degree of each dispatching route based on the power supply results and the predicted fault manifestations, and updates the optimal dispatching route for each fault manifestation based on the matching degree. The method for calculating the matching degree of each allocation route in the allocation route simulation module (50) includes the following steps: S501. Collect historical dispatch routes and obtain the power supply ratio of each energy system in the historical dispatch routes; S502. Obtain the unit cost and unit carbon emissions of each energy system; S503, Calculate the overall cost of historical dispatch routes based on power supply ratio. The sum of the products of the electricity supply share of each energy system and its unit cost; S504. Calculate the overall carbon emissions of historical allocation routes. The sum of the product of the electricity supply share of the energy system and the unit carbon emissions; S505, Calculate the final matching degree of historical dispatch routes. ,in Assigning weights to the overall cost. The weighting of overall carbon emissions.

2. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The method for predicting the fault manifestation based on system data in the thermoelectric power generation fault prediction module (10) includes the following steps: S101. Based on the industry standards for thermoelectric generator faults, obtain the system data corresponding to each thermoelectric generator fault and the normal range of system data. S102. Based on the feedback of monitoring data, determine the detection sequence for various system data; S103. Combine the advance prediction results with the corresponding system data for detection, perform secondary verification prediction, and obtain the final prediction results.

3. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The method for evaluating the priority of different energy generation systems based on the degree of matching in the priority evaluation module (30) includes the following steps: S301. Collect the power supply demand of the current power supply project, and obtain the numerical range of the actual influencing conditions corresponding to the power supply demand. S302. Based on the operating status of various energy systems, obtain the actual power supply values ​​of various energy states of the current energy system; S303. Compare the corresponding actual power supply value with the value range corresponding to the actual influencing conditions; Energy systems whose actual power supply values ​​all conform to the corresponding value ranges are marked as energy systems to be allocated at the current time point; Conversely, it will not be considered as an energy system to be allocated at the current point in time; S304. Perform initial priority planning for each energy system.

4. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 3, characterized in that: In S304, the priority of each energy system, from high to low, is green energy power supply, new energy power supply, thermal power supply, and thermal power supply.

5. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The method for allocating corresponding energy generation systems at different power supply times in the energy matching module (40) includes the following steps: S401. Real-time acquisition of energy status changes of various energy systems at different points in time; S402. Determine whether the initial priority of the newly qualified energy system is higher than the initial priority of the currently allocated energy system; If the initial priority of a newly qualified energy system is higher than that of the currently allocated energy system, the newly qualified energy system will undergo a second energy switch and become the allocated energy system at the current time. Conversely, if the initial priority of a newly qualified energy system is not higher than the initial priority of the currently allocated energy system, the currently allocated energy system will be maintained.

6. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The allocation weight of the overall cost in S505 Overall carbon emission allocation weight Switching is performed according to the needs of the power supply project.

Images