Multi-energy collaborative complementary system for thermoelectric power generation faults

Abstract

The invention relates to the technical field of multi-energy collaboration, in particular to a multi-energy collaboration complementation system for thermoelectric power generation faults. The system comprises a distribution priority evaluation module and a deployment route simulation module. According to the invention, the distribution priority evaluation module collects the energy state of the multi-energy power generation system cooperating with the thermoelectric power generation system, calculates the matching degree of the energy states of different current energy power generation systems and the actual influence condition of the to-be-powered project, and evaluates the priorities of different energy power generation systems according to the matching degree. The priority of the energy power generation system is used as an energy collaborative complementation condition, adaptive energy switching is performed, appropriate energy switching is matched for different fault reasons of the thermoelectric power generation system, the advantages of power supply of different energy sources are reasonably utilized, the adaptive effect after energy switching is improved, meanwhile, an adaptive switching route is provided through a deployment route simulation module, and the power supply efficiency of the thermoelectric power generation system is improved. And the adaptation effect after energy switching is further improved.

Description

Technical Field

[0001] The present invention relates to the field of multi-energy collaborative technology, and in particular to a multi-energy collaborative complementary system for temperature difference power generation failure. Background Art

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

[0003] In actual applications, frequent failures often occur due to system complexity. Therefore, in order to avoid affecting the power supply status, the thermoelectric power generation system will be combined with other energy power generation systems during actual use to form a multi-energy collaborative system. When a failure occurs in the thermoelectric power generation system, it will automatically convert other energy sources for continuous power supply to maintain the power supply status of the current power supply project.

[0004] In actual situations, the causes of failure of thermoelectric power generation systems are diverse, such as degradation of thermoelectric material performance, failure of thermal management, and damage to mechanical structures. The corresponding fault states are also different, and the final impact results will also be different, such as the duration of power outages. When a thermoelectric power generation system fails, it needs to be powered by other complementary energy sources. However, the power supply principles of each energy source are different, and the corresponding power supply effects will also be different, such as power supply speed and power supply amount. The existing multi-energy collaborative and complementary system has a fixed power supply route, which makes it difficult to adaptively match the fault state, resulting in uneven power conversion effects and failure to reasonably utilize the power supply advantages of different energy sources.

[0005] In order to address the above problems, there is an urgent need for a multi-energy collaborative complementary system that can perform adaptive power supply conversion and thermoelectric power generation failure. Summary of the Invention

[0006] The purpose of the present invention is to provide a multi-energy collaborative complementary system for thermoelectric power generation failures. The system collects the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system through an allocation priority evaluation module, calculates the degree of matching between the current energy status of different energy power generation systems and the actual impact conditions of the power supply project, evaluates the priority of different energy power generation systems based on the matching degree, uses the priority of the energy power generation system as the energy collaborative complementary condition, performs adaptive energy switching, provides an adaptive switching route through a deployment route simulation module, and plans energy switching at different time points according to the switching route to solve the problems raised in the above background technology, namely: The power supply route of the multi-energy collaborative and complementary system is fixed, making it difficult to adaptively match fault conditions and unable to reasonably utilize the power supply advantages of different energy sources.

[0007] To achieve the above objectives, a multi-energy collaborative complementary system for thermoelectric power generation failures is provided. The thermoelectric power generation failure prediction module predicts the thermoelectric power generation system in real time. The actual impact condition classification module combines the current thermoelectric power generation power supply status to obtain the actual impact conditions of the power supply project to be powered. The actual impact conditions are used as the numerical basis for switching the energy system in the later stage. Furthermore, the allocation priority evaluation module collects the energy status of the multi-energy power generation system that cooperates 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 influencing conditions of the power supply project, evaluates the priority of different energy power generation systems according to the matching degree, and cooperates with the energy matching module to allocate the energy system according to the initial priority. It can not only match the adaptive switching energy for the current thermoelectric power generation failure time point, but also obtain the energy status of the subsequent energy system in real time, and perform secondary energy switching according to the predetermined initial priority, thereby further improving the energy adaptation effect.

[0008] Furthermore, the dispatch route simulation module calculates the matching degree of each dispatch route based on the power supply results and the predicted fault manifestations, evaluates them separately through overall cost and overall carbon emissions, and uses the corresponding matching degree as the matching basis to provide adaptive switching routes for different types of temperature difference power generation faults.

[0009] Compared with the prior art, the present invention has the following beneficial effects: In the multi-energy collaborative complementary system for the thermoelectric power generation failure, the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system is collected by allocating priority evaluation modules, the degree of matching between the current energy status of different energy power generation systems and the actual influencing conditions of the power supply project is calculated, the priority of different energy power generation systems is evaluated according to the matching degree, and the priority of the energy power generation system is used as the energy collaborative complementary condition to perform adaptive energy switching, match appropriate energy switching to different fault causes of the thermoelectric power generation system, reasonably use the advantages of different energy power supplies, and improve the adaptation effect after energy switching. At the same time, an adaptive switching route is provided by the deployment route simulation module, and the energy switching corresponding to different time points is planned according to the switching route, so as to further improve the adaptation effect after energy switching. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a block diagram of the overall system structure of the present invention.

[0011] The meaning of each number in the figure is: 10. Thermoelectric power generation fault prediction module; 20. Actual impact conditions division module; 30. Assign priority assessment module; 40. Allocation of energy matching module; 50. Deployment route simulation module. DETAILED DESCRIPTION

[0012] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0013] See also Figure 1 As shown, a multi-energy collaborative 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; 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 classification module 20 obtains the actual impact conditions of the power supply project in combination with the current temperature difference power generation power supply status; The allocation priority evaluation module 30 collects the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system, calculates the degree of match between the current energy status of different energy power generation systems and the actual influencing conditions of the power supply project to be powered, and evaluates the priority of different energy power generation systems based on the matching degree; The energy matching module 40 allocates corresponding energy generation systems at different power supply time points according to the priority of the energy generation systems and collects actual power supply results; The dispatch route simulation module 50 calculates the matching degree of each dispatch route according to the power supply result and the predicted fault manifestation, and updates the optimal dispatch route for each fault manifestation according to the matching degree.

[0014] The specific contents are as follows: Under normal power supply conditions, it is still necessary to use the thermoelectric power generation system for power supply processing. When a fault occurs in the thermoelectric power generation, the corresponding manifestations will be different depending on the fault type. Therefore, it is necessary to first respond to the thermoelectric power generation system fault through the thermoelectric power generation fault prediction module 10, collect real-time system data, and predict the fault manifestation based on the system data, such as faults caused by degradation of thermoelectric material performance, faults caused by thermal management failure, mechanical and structural damage, circuit and control system faults, and system efficiency reduction. For faults caused by degradation of thermoelectric material performance, the collected real-time system data is reflected by the system output voltage and short-circuit current. The annual reduction in output voltage and short-circuit current is compared to make a judgment. These output voltages and short-circuit currents are used as system data in the corresponding prediction process. In the specific prediction process, we first combine the industry standards for thermoelectric power generation failures to obtain the system data corresponding to each thermoelectric power generation failure and the normal range of the system data. For example, in the failure caused by thermal management failure, the corresponding system data is the temperature difference. The hot end temperature fluctuates due to the heat source or poor heat dissipation at the cold end, resulting in a temperature difference of more than 50°C between the hot and cold ends. Exceeding the threshold causes a thermoelectric power generation failure. Combined with the monitoring data information feedback, the detection sequence of each system data is formulated. The monitoring data information here is the abnormal value under the fault state. For example, the power supply end shows insufficient power supply. The current thermoelectric power generation failure is predicted in advance through these monitoring data information. Then, the corresponding system data is tested in combination with the early prediction results, and a secondary verification prediction is performed to obtain the final prediction result.

[0015] After completing the prediction of the thermoelectric power generation failure, due to the different actual power supply projects, the power supply projects referred to here are the supplied parties of the thermoelectric power generation system, and the corresponding power supply requirements are different. For example, if the supply project is a factory assembly line, its operation state 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. If the supply project is to charge electrical appliances, it is necessary to consider fully charging the electrical appliances, so the corresponding focus is on the amount of electricity stored. In order to obtain the actual needs of each power supply project, the actual influencing condition classification module 20 is combined with the current thermoelectric power supply state to obtain the actual influencing conditions of the project to be powered. Specifically, such as Figure 1 As shown, the corresponding actual influencing conditions in this scheme include power supply speed, response time and electric storage, among which the power supply speed is the actual power supply speed of the switching energy. In the specific power supply process, when the power supply project has charging requirements, it is necessary to consider the actual power supply speed of the switching energy and whether it can meet the demand range of the current power supply project. The response time is the time required to switch from thermoelectric power generation to current energy power generation, that is, the switching interval time difference, and the electric storage is the stored power of the current switching energy.

[0016] Furthermore, since different switching energy sources have different advantages and respond to 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, and collect the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system through the allocation priority evaluation module 30 (the energy status here is the actual influencing condition), such as Figure 1As shown, the switching energy involved in this solution includes thermal power supply, thermal power supply, new energy power supply and green energy power supply. The current coordinated power supply work is controlled through the corresponding power supply mode and control terminal, and the corresponding influencing conditions under each power supply mode are collected in real time. For new energy power supply, since it is greatly affected by the environment, it will be used with batteries to store electricity in its power generation state to ensure subsequent power supply needs; Then, the degree of matching between the current energy status of different energy generation systems and the actual impact conditions of the power supply project is calculated, and the priority of different energy generation systems is evaluated based on the matching degree. The specific calculation method is as follows: Collect the power supply demand of the current power supply project, and obtain the numerical range corresponding to the actual influencing conditions according to the power supply demand. For example, in a power supply project, the power supply speed range is required to reach , the response time range is required to reach Below, the electrical storage range is required to reach In order to ensure that the energy source after switching can be adapted, its corresponding energy state needs to meet its power supply demand. Therefore, it is necessary to combine the operating status of each energy system to obtain the actual power supply value of each energy state of the current energy system, that is, the power supply speed, response time and power storage, and compare the corresponding actual power supply value with the value range corresponding to the actual influencing condition. The energy system whose actual power supply value meets the corresponding value range is marked as the energy system to be allocated at the current time point (that is, the time point when the thermoelectric power generation failure occurs and the new energy source needs to be switched). Otherwise, it is not the energy system to be allocated at the current time point. It is worth noting that, due to the different power supply modes of different energy systems, the corresponding energy states at different time points are different. When multiple energy systems are used 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, where the priorities are green energy power supply, new energy power supply, thermal power supply and thermal power supply from high to low. In the process of energy allocation, the energy matching module 40 is used to allocate the corresponding energy power generation system at different power supply time points according to the priority of the energy power generation system, and collect the actual power supply results, that is, when multiple energy systems are used as energy systems to be allocated, they are allocated according to the initial priority. For example, when the energy states corresponding to the new energy power supply and the thermal power supply meet the numerical range corresponding to the actual influencing conditions, the two energy systems are both used as energy systems to be allocated. Since the priority of the new energy power supply is higher than that of the thermal power supply, the new energy power supply is used as the final allocated energy system. Furthermore, since the energy status of each energy system will change over time, during the entire energy state switching process, a new energy system 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 met energy system is higher than the initial priority of the currently allocated energy system; If the initial priority of the newly achieved energy system is higher than the initial priority of the currently allocated energy system, the energy system that has newly achieved the requirements of the energy system to be allocated will undergo a secondary energy switch and serve as the allocated energy system at the current time point; On the contrary, if the initial priority of the newly achieved energy system is not higher than the initial priority of the currently allocated energy system, the currently allocated energy system is maintained.

[0017] In order to reduce the switching time under the same fault condition in the future and improve the switching efficiency, the dispatching route simulation module 50 calculates the matching degree of each dispatching route based on the power supply result and the predicted fault manifestation, and updates the optimal dispatching route for each fault manifestation based on the matching degree. The specific method is as follows: First, collect historical dispatch routes, obtain the power supply ratio of each energy system in the historical dispatch routes, that is, the corresponding power supply duration, and obtain the unit cost and unit carbon emissions of each energy system, and calculate the overall cost of the historical dispatch routes based on the power supply ratio. = The sum of the power supply proportion of each energy system and the product of the unit cost, and calculate the overall carbon emissions of the historical deployment route =The sum of the power supply ratio of the energy system and the product of unit carbon emissions, and finally calculate the final matching degree of the historical allocation route= ,in is the weight of the overall cost distribution, As the weight of the overall carbon emissions, it is worth noting that and The value needs to be switched according to the needs of the power supply project. For example, for environmentally friendly enterprises, the allocation weight of their carbon emissions Will be reduced. For energy-saving enterprises, the power supply cost is considered, so the corresponding overall cost distribution weight It will be reduced, and the matching degree of each historical deployment route will be obtained. The historical deployment route will be evaluated according to the matching degree, and the historical deployment route with the largest matching degree will be taken as the best deployment route.

[0018] The present invention collects the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system through the allocation priority evaluation module 30, calculates the degree of matching between the current energy status of different energy power generation systems and the actual influencing conditions of the power supply project, evaluates the priority of different energy power generation systems according to the matching degree, and uses the priority of the energy power generation system as the energy synergy and complementation condition to perform adaptive energy switching, match appropriate energy switching for different fault causes of the thermoelectric power generation system, reasonably use the advantages of different energy power supply, and improve the adaptation effect after energy switching. At the same time, an adaptive switching route is provided through the deployment route simulation module 50, and the corresponding switching energy at different time points is planned according to the switching route, so as to further improve the adaptation effect after energy switching.

[0019] The above shows and describes 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 above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in 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 by: It includes a temperature difference power generation fault 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); The thermoelectric power generation fault prediction module (10) responds to a thermoelectric power generation system fault, 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 power supply project in combination with the current temperature difference power generation power supply state; The allocation priority evaluation module (30) collects the energy status of the multi-energy power generation system that cooperates with the thermoelectric power generation system, calculates the matching degree between the current energy status of the different energy power generation systems and the actual impact conditions of the power supply project, and evaluates the priority of the different energy power generation systems according to the matching degree; The energy matching module (40) allocates corresponding energy generation systems at different power supply time points according to the priorities of the energy generation systems, and collects actual power supply results; The dispatch route simulation module (50) calculates the matching degree of each dispatch route based on the power supply result and the predicted fault manifestation, and updates the optimal dispatch route for each fault manifestation based on the matching degree.

2. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1 is characterized by: The method for predicting the manifestation of a fault based on system data in the thermoelectric power generation fault prediction module (10) comprises the following steps: S101. Acquire system data corresponding to various thermoelectric power generation faults and a conventional range of the system data in accordance with industry standards for thermoelectric power generation faults; S102. Based on the monitoring data feedback, formulate the detection sequence of each system data; S103: Detect the corresponding system data in combination with the advance prediction results, perform a 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 actual influencing conditions in the actual influencing condition division module (20) include power supply speed, response time and electrical storage; Among them, the power supply speed is the actual power supply speed of the switching energy; Response time is the time required to switch from thermoelectric power generation to current energy generation; Electrical storage refers to the stored amount of current switching energy.

4. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 3 is characterized by: 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.

5. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The method for evaluating the priorities of different energy generation systems according to the matching degree in the allocation priority evaluation module (30) comprises the following steps: S301. Collect the power supply demand of the current power supply project and obtain the numerical range corresponding to the actual influencing condition according to the power supply demand; S302. Acquire actual power supply values ​​of various energy states of the current energy system based on the operating status of each energy system; S303, comparing the corresponding actual power supply value with the value range corresponding to the actual influencing condition; The energy systems whose actual power supply values ​​all fall within the corresponding value range are marked as the energy systems to be allocated at the current time point; Otherwise, it is not considered as the energy system to be allocated at the current time point; S304. Perform initial priority planning for each energy system.

6. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 5, characterized in that: The priorities of the energy systems in S304 are green energy power supply, new energy power supply, thermal power supply and thermal power supply from high to low.

7. 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 time points in the energy matching module (40) comprises the following steps: S401, real-time collection of energy status changes corresponding to each energy system at different time points; S402: Determine whether the initial priority of the newly-required energy system is higher than the initial priority of the currently allocated energy system; If the initial priority of the newly achieved energy system is higher than the initial priority of the currently allocated energy system, the energy system that has newly achieved the requirements of the energy system to be allocated will undergo a secondary energy switch and serve as the allocated energy system at the current time point; On the contrary, if the initial priority of the newly achieved energy system is not higher than the initial priority of the currently allocated energy system, the currently allocated energy system is maintained.

8. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 1, characterized in that: The method for calculating the matching degree of each deployment route in the deployment route simulation module (50) comprises the following steps: S501. Collect historical dispatch routes and obtain the power supply proportion 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 the power supply ratio = the sum of the product of the power supply proportion of each energy system and the unit cost; S504. Calculate the overall carbon emissions of historical deployment routes = the sum of the power supply proportion of the energy system and the product of unit carbon emissions; S505. Calculate the final matching degree of the historical deployment route = ,in is the weight of the overall cost distribution, The weight assigned to the overall carbon emissions.

9. The multi-energy collaborative complementary system for thermoelectric power generation failure according to claim 8, characterized in that: The allocation weight of the overall cost in S505 Allocation weight of overall carbon emissions Switch according to the needs of the power supply project.

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