Low-heat-mark silent diesel SOFC power generation control system

Abstract

The present application relates to the field of fuel cell technology, and particularly relates to a low-heat-mark silent diesel SOFC power generation control system, comprising a monitoring module for monitoring real-time information of temperature and noise of the SOFC power generation system, and detecting, storing and controlling real-time information of the temperature and noise exceeding the standard; an estimation module for predicting the regularity of the power load based on the current power consumption state, and instantaneously responding to the control gas amount, so that the heat dissipation and noise are always controlled below the minimum requirement; through the collection of the power load change curve and real-time power consumption information, the present application detects and responds to the prediction of the time when the annual maximum temperature and noise are reached, and further calculates the possible power consumption excess, so as to intelligently control the low-heat-mark silent diesel SOFC power generation system configured for the power load.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of fuel cell technology, in particular to a low-heat- trace silent diesel SOFC power generation control system. BACKGROUND

[0002] The low-heat-trace silent diesel SOFC power generation system takes solid oxide fuel cell as the core technology and generates electricity by using hydrogen generated by diesel reforming. The noise is extremely low during operation and almost no disturbance. Its low-heat-trace characteristic reduces heat emission and has high safety. It can flexibly adapt to various scenes and quickly start power supply, providing reliable clean energy for places with high requirements for electricity and environment.

[0003] The invention patent with application number 202111023841.0 discloses a power generation control system, wherein the power generation control system has: a plurality of fuel cell systems mounted on an electric device that works by electricity; a storage battery mounted on the electric device; and a control device that controls the plurality of fuel cell systems based on the state of the plurality of fuel cell systems, the state of the storage battery, and the required power of the plurality of fuel cell systems. The control device determines the working fuel cell system in the plurality of fuel cell systems based on the result of comparing the state of the storage battery with a threshold value. The control device determines the stopped fuel cell system in the plurality of fuel cell systems when the result of comparing the state of the storage battery with the threshold value is that the state of the storage battery, i.e. the storage battery charge rate, is above the threshold value.

[0004] The system aims to solve the problem that the prior art does not consider the control when multiple fuel cell systems are mounted on a vehicle. Therefore, depending on the implementation method of the control, the degradation of the fuel cell systems may be uneven.

[0005] However, when the low-heat-trace silent diesel SOFC power generation system is applied to commercial power supply scenes, it is mostly used as an emergency power supply. However, there is often an excess problem in annual electricity consumption for commercial power supply, and the electricity consumption exceeds the electricity generation cost of the low-heat-trace silent diesel SOFC power generation system, which often leads to a certain improvement space in the cost performance of the commercial power supply mode.

[0006] Therefore, the present application provides a low-heat-trace silent diesel SOFC power generation control system. SUMMARY

[0007] In view of the above-mentioned shortcomings of the prior art, the present application provides a low-heat-trace silent diesel SOFC power generation control system, which solves the technical problems proposed in the background art.

[0008] To achieve the above object, the present application is realized by the following technical solutions:

[0009] A low-heat mark silent diesel SOFC power generation control system, comprising:

[0010] The monitoring module is interactively connected with an estimation module through a wireless network, the lower level of the estimation module is interactively connected with a receiving unit and a correction unit through a wireless network, the receiving unit is interactively connected with the monitoring module through a wireless network, the estimation module is interactively connected with a planning module through a wireless network, the planning module is internally interactively connected with a calculation unit through a wireless network, the calculation unit is interactively connected with the monitoring module through a wireless network, the lower level of the calculation unit is interactively connected with an identification unit and a distribution unit through a wireless network, the planning module is interactively connected with a warning module through a wireless network, the warning module is internally interactively connected with a reset unit through a wireless network, and the warning module is interactively connected with a message module through a wireless network.

[0011] The monitoring module is used for monitoring real-time power consumption information of a power consumption area and storing the real-time power consumption information of the power consumption area; the estimation module is used for predicting a time of reaching a highest price level within the year based on a current power consumption state of the power consumption area; the planning module is used for receiving the time of reaching the highest price level within the year predicted by the estimation module, combining power consumption information of the power consumption area, and planning a power consumption structure of the power consumption area; the warning module is used for setting a continuous running period of the estimation module, controlling continuous running of the estimation module, and issuing a power consumption warning based on a running result of the estimation module; and the message module is used for generating a running message of the low-heat mark silent diesel SOFC power generation system.

[0012] Further, the monitoring of the real-time power consumption information of the power consumption area by the monitoring module includes: power consumption and power consumption period, when the monitoring module monitors the power consumption information of the power consumption area, the power consumption of all power consumption equipment in the power consumption area is fed back to the monitoring module after metering and summarizing, and the source period of the metered and summarized power consumption is marked on the metered and summarized power consumption data when fed back to the monitoring module.

[0013] When the monitoring module runs to monitor the real-time power consumption information of the power consumption area, the historical power consumption information of the power consumption area before the monitoring module runs in the year is synchronously uploaded, and the current step price level is identified.

[0014] Further, the lower level of the estimation module is provided with a sub-module, including:

[0015] The receiving unit is used for receiving the power consumption information of the power consumption area monitored by the monitoring module and the uploaded historical power consumption information of the power consumption area, summing the power consumption in the two groups of power consumption information, and feeding back to the estimation module;

[0016] The correction unit is configured to receive a prediction result of the time when the power consumption area reaches the highest electricity price level in the current year in the estimation module, and correct the prediction result.

[0017] The correction unit forwards the corrected prediction result to the estimation module, and the estimation module outputs the corrected prediction result.

[0018] The prediction result of the time when the power consumption area reaches the highest electricity price level in the current year in the estimation module is represented as:

[0019]

[0020] T = T + (G - G) * (T - T) / T end T is the time when the power consumption area reaches the highest electricity price level in the current year; T NOW T is the current date; G MAX G is the electricity quantity threshold of the highest electricity price level; G NOW G is the cumulative power consumption of the current power consumption area; t now T is the cumulative number of days based on the current date in the current year.

[0021] Further, the correction logic of the prediction result in the correction unit is represented as:

[0022]

[0023] T = T + (G - G) * (T - T) / T end T is the corrected time when the power consumption area reaches the highest electricity price level in the current year; g last G is the latest monitored daily power consumption in the current year; g first G is the latest monitored daily power consumption in the current year;

[0024]

[0025] When T When T

[0026] Further, the planning module is internally provided with a sub-module, including:

[0027] The estimation unit is configured to estimate the future excess power consumption of the power consumption area.

[0028] The estimation logic of the future excess power consumption of the power consumption area is represented as:

[0029]

[0030] G0 = G - G * (T - T) / T next T is the remaining number of days in the current year; t​norr for estimating the time distance between the estimation in the estimation module and the current date; for cutting the current daily power consumption of the power consumption area;

[0031] The estimation unit is provided with a sub-module, including:

[0032] The identification unit is configured to identify the interval days from the current date to the time of reaching the highest electricity price bracket within the year predicted in the estimation module;

[0033] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess power consumption of the power consumption area according to the interval days.

[0034] Further, the distribution unit performs the operation of planning the power consumption structure of the power consumption area in the planning module;

[0035] The operation of distributing the future excess power consumption of the power consumption area according to the interval days in the distribution unit is:

[0036] The future excess power consumption of the power consumption area is evenly distributed to each day of the interval days identified by the identification unit;

[0037] Obtain the power consumption period set of each day in the power consumption information of the power consumption area monitored by the monitoring module, and capture the period with the highest power consumption demand in each day;

[0038] The union of the period with the highest power consumption demand in each day is used as the application period of the low-heat trace silent diesel SOFC power generation system, and when there is power consumption demand in the power consumption area in the application period of the low-heat trace silent diesel SOFC power generation system, the low-heat trace silent diesel SOFC power generation system provides power supply.

[0039] Further, the continuous operation period of the estimation module in the early warning module is customized by the system end user, the planning result of the power consumption structure of the power consumption area in the planning module is applied synchronously, the early warning module is connected with the mobile computer device of the power consumption management background through a local area network, and the power consumption early warning content sent by the early warning module is text information;

[0040] The power consumption early warning content sent by the early warning module includes that there is excess power consumption problem in the power consumption area.

[0041] Further, the early warning module is internally provided with a sub-module, including:

[0042] The reset unit is configured to receive the time of reaching the highest electricity price bracket within the year predicted by the estimation module each time, and decide whether to reset the system operation based on the time of reaching the highest electricity price bracket within the year;

[0043] The logic in the reset unit for deciding whether to reset the system operation is:

[0044]

[0045] In the formula, F is a decision value; T new is the latest estimated time of reaching the highest price level within the year; T new-1 is the last estimated time of reaching the highest price level within the year compared with T new ;

[0046] When the decision value F is 1, the estimation module waits for the next operation based on a continuous operation period, when the decision value F is 0, the early warning module issues a warning, and the reset unit synchronously resets the system operation.

[0047] Further, the low-heat-mark silent diesel SOFC power generation system operation message content generated in the message module includes: low-heat-mark silent diesel SOFC power generation system operation period record, low-heat-mark silent diesel SOFC power generation system cumulative power generation amount.

[0048] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects:

[0049] The application provides a low-heat-mark silent diesel SOFC power generation control system, which, in the operation process, predicts the time of reaching the highest price level within the year through the collection of annual power consumption information of the power consumption area, and further intelligently controls the low-heat-mark silent diesel SOFC power generation system configured for the power consumption area through the calculation of the possible power consumption excess of the annual power consumption area, so that the power consumption area can use the power grid distribution and the electric energy supplied by the low-heat-mark silent diesel SOFC power generation system for daily operation and maintenance, the dependence of the power consumption area on the power grid distribution is reduced as much as possible, the energy demand robustness of the power consumption area is improved, and finally the rationality and controllability of the power consumption cost of the power consumption area are realized. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0051] Figure 1 It is a structural schematic diagram of a low-heat-mark silent diesel SOFC power generation control system. DETAILED DESCRIPTION

[0052] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0053] The present application will be further described below in combination with the embodiments.

[0054] Embodiment:

[0055] A low-heat-mark silent diesel SOFC power generation control system in the embodiment, as shown in Figure 1 , comprises:

[0056] A monitoring module is configured to monitor real-time power consumption information of a power consumption area and store the real-time power consumption information of the power consumption area.

[0057] An estimation module is configured to predict a time when the power consumption area reaches a highest electricity price level within the current year based on a current power consumption state.

[0058] The estimation module is provided with a sub-module, which comprises:

[0059] A receiving unit is configured to receive power consumption information of the power consumption area monitored by the monitoring module in real time and historical power consumption information of the power consumption area uploaded, sum up power consumption in the two groups of power consumption information, and feed back to the estimation module.

[0060] A correction unit is configured to receive a prediction result of the time when the power consumption area reaches the highest electricity price level within the current year in the estimation module, and correct the prediction result.

[0061] After the correction unit corrects the prediction result, the corrected prediction result is forwarded to the estimation module synchronously, and the estimation module outputs the corrected prediction result.

[0062] The prediction result of the time when the power consumption area reaches the highest electricity price level within the current year in the estimation module is represented as:

[0063]

[0064] In the formula, T end is the time when the power consumption area reaches the highest electricity price level within the current year; T NOW is a current date; G MAX is an electricity quantity boundary value of the highest electricity price level; G NOW is a current cumulative power consumption quantity of the power consumption area; t now is a cumulative number of days within the current year based on the current date;

[0065] The correction logic of the prediction result in the correction unit is represented as:

[0066]

[0067] In the formula, T end is the time of reaching the highest electricity price level in the current year after correction; g last is the latest monitored daily electricity consumption in the current year; g first is the latest monitored daily electricity consumption in the current year;

[0068]

[0069] wherein, when the time is greater than the time, the "+" in the calculation formula is taken as "-", when the time is less than the time, the "+" in the calculation formula is taken as "+";

[0070] Through the above logical formula, the time of reaching the highest electricity price level in the current year is predicted and corrected, which provides necessary operation parameter support for further operation of the above system;

[0071] The planning module is used to receive the time of reaching the highest electricity price level in the current year predicted in the estimation module, and combine the electricity consumption information of the electricity consumption area to plan the electricity consumption structure of the electricity consumption area.

[0072] The planning module is internally provided with sub-modules, including:

[0073] The calculation unit is used to calculate the future excess electricity consumption of the electricity consumption area.

[0074] wherein, the calculation logic of the future excess electricity consumption of the electricity consumption area is represented as:

[0075]

[0076] In the formula, g0 is the future excess electricity consumption of the electricity consumption area; t next is the remaining number of days in the current year; t norr is the number of days from the time estimated in the estimation module to the current date; is the daily average electricity consumption of the electricity consumption area up to the current date;

[0077] Through the above logical formula, the calculation logic of the future excess electricity consumption of the electricity consumption area is further limited.

[0078] The calculation unit is internally provided with sub-modules, including:

[0079] The identification unit is used to identify the interval days from the current date of the electricity consumption area to the time of reaching the highest electricity price level in the current year predicted in the estimation module.

[0080] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0081] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0082] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0083] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0084] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0085] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0086] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0087] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0088] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0089] The distribution unit is configured to receive the interval days identified by the identification module, and distribute the future excess electricity consumption of the electricity consumption area by the interval days.

[0090]

[0091] In the formula, F is the decision value; T new is the latest estimated time to reach the highest electricity price bracket in the year; T new-1 is the time to reach the highest electricity price bracket in the year compared to the last estimate of T new ; and F is the decision value.

[0092] When the decision value F is 1, the estimation module waits for the next operation based on the continuous operation period, when the decision value F is 0, the warning module issues a warning, and the reset unit resets the system operation synchronously.

[0093] The determination formula provides necessary operation logic support for the early warning module and the resetting unit, and ensures that the early warning module and the resetting unit can make corresponding actions in the system based on the determination formula.

[0094] The message module is configured to generate a low-heat trace silent diesel SOFC power generation system operation message.

[0095] The low-heat trace silent diesel SOFC power generation system operation message generated by the message module includes a low-heat trace silent diesel SOFC power generation system operation period record and a low-heat trace silent diesel SOFC power generation system cumulative power generation amount.

[0096] The monitoring module is connected to the estimation module through a wireless network, the estimation module is connected to a receiving unit and a correction unit through a wireless network, the receiving unit is connected to the monitoring module through a wireless network, the estimation module is connected to a planning module through a wireless network, the planning module is connected to a calculation unit through a wireless network, the calculation unit is connected to the monitoring module through a wireless network, the calculation unit is connected to an identification unit and a distribution unit through a wireless network, the planning module is connected to an early warning module through a wireless network, the early warning module is connected to a resetting unit through a wireless network, and the early warning module is connected to a message module through a wireless network.

[0097] In this embodiment, the monitoring module monitors real-time power consumption information of the power consumption area, and stores the real-time power consumption information of the power consumption area. The estimation module is arranged to predict the time when the power consumption area reaches the highest electricity price tier in the current year based on the current power consumption state. The receiving unit synchronously receives the power consumption information of the power consumption area monitored by the monitoring module and the historical power consumption information of the power consumption area uploaded by the monitoring module, sums the power consumption in the two groups of power consumption information, and feeds back to the estimation module. The correction unit receives the prediction result of the time when the power consumption area reaches the highest electricity price tier in the current year in the estimation module in real time, corrects the prediction result, and then receives the prediction of the time when the power consumption area reaches the highest electricity price tier in the current year in the estimation module by the planning module. The planning module plans the power consumption structure of the power consumption area in combination with the power consumption information of the power consumption area. The calculation unit synchronously calculates the future excess power consumption of the power consumption area. The identification unit identifies the interval days from the current date of the power consumption area to the time when the power consumption area reaches the highest electricity price tier in the current year predicted by the estimation module in real time. The distribution unit further receives the interval days identified by the identification module, and distributes the future excess power consumption of the power consumption area according to the interval days. Finally, the early warning module sets a continuous operation period of the estimation module, controls the continuous operation of the estimation module, issues a power consumption warning based on the operation result of the estimation module, the resetting unit synchronously receives the time when the power consumption area reaches the highest electricity price tier in the current year predicted by the estimation module each time, decides whether to reset the system operation based on the time when the power consumption area reaches the highest electricity price tier in the current year, and generates a low-heat trace silent diesel SOFC power generation system operation message by the message module.

[0098] Through the system operation in the above embodiment, effective power utilization planning management is brought to the commercial power utilization area configured with the low-heat-mark silent diesel SOFC power generation system, the probability of annual power utilization excess problem in the power utilization area is reduced, and the power utilization cost in the power utilization area is economized and rationalized.

[0099] As shown in Figure 1 The monitoring module monitors real-time power utilization information of the power utilization area, including power utilization amount and power utilization period. When the monitoring module monitors the power utilization information of the power utilization area, the power utilization amount used by all power utilization equipment in the power utilization area is fed back to the monitoring module after metering and summarizing, and the source period of the metered and summarized power utilization amount is marked on the metered and summarized power utilization amount data when fed back to the monitoring module.

[0100] When the monitoring module monitors real-time power utilization information of the power utilization area, the historical power utilization information of the power utilization area before the monitoring module is operated in the current year is synchronously uploaded, and the current step price rate is identified.

[0101] The continuous operation period of the estimation module in the early warning module is defined by the system end user, the planning result of the power utilization structure of the power utilization area in the planning module is synchronously applied, the early warning module is connected with the mobile computer equipment of the power utilization management background through a local area network, and the power utilization early warning content issued by the early warning module is text information.

[0102] The power utilization early warning content issued by the early warning module includes that there is an excess power utilization problem in the power utilization area.

[0103] Through the above settings, further operation data support is provided for the operation of the system in the above embodiment, ensuring that the system in the above embodiment operates more stably, and the low-heat-mark silent diesel SOFC power generation system brings suitable power utilization management services to the power utilization area.

[0104] In summary, in the running process of the system in the above embodiment, through the collection of annual power utilization information of the power utilization area, the time of reaching the highest price rate in the year is predicted, and further through the calculation of the possible power utilization excess of the power utilization area in the year, the low-heat-mark silent diesel SOFC power generation system configured in the power utilization area is intelligently controlled, so that the power utilization area compatiblely uses the power grid distribution and the electric energy supplied by the low-heat-mark silent diesel SOFC power generation system for daily operation and maintenance, reduces the dependence of the power utilization area on the power grid distribution as much as possible, improves the energy demand robustness of the power utilization area, and finally realizes the rationality and controllability of the power utilization cost of the power utilization area.

[0105] The above examples are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalent features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A low-heat-footprint quiet diesel SOFC power generation control system, characterized by, The utility model relates to a low heat trace mute diesel SOFC power generation system operation message generation device, and belongs to the field of power supply. The monitoring module monitors the real-time power consumption information of the power consumption area, including power consumption and power consumption period. The monitoring module monitors the real-time power consumption information of the power consumption area, including power consumption and power consumption period. The monitoring module monitors the real-time power consumption information of the power consumption area, including power consumption and power consumption period. The estimation module predicts the time when the power consumption area reaches the highest price bracket in the current year based on the current power consumption state. The estimation module is provided with a sub-module, including: The receiving unit receives the power consumption information of the power consumption area monitored by the monitoring module and the uploaded historical power consumption information of the power consumption area, sums up the power consumption in the two groups of power consumption information, and feeds back to the estimation module. The correction unit receives the prediction result of the time when the power consumption area reaches the highest price bracket in the current year in the estimation module, and corrects the prediction result. The correction unit corrects the prediction result and synchronously forwards the corrected prediction result to the estimation module for output. The prediction result of the time when the power consumption area reaches the highest price bracket in the current year in the estimation module is represented as: ； In the formula: is the time at which the highest tariff band is reached within the year; is the current date; is the electricity quantity boundary of the highest tariff band; is the cumulative electricity quantity of the current electricity consumption region; is the cumulative number of days based on the current date within the year; The correction logic of the prediction result in the correction unit is represented as: ； In the formula: is the time of the year when the maximum tariff level is reached, corrected; is the latest monitored daily electricity consumption of the year; is the latest monitored daily electricity consumption of the year; ; wherein when > 0, the expression takes the value "-" when < 0, the expression takes the value "+" The planning module receives the predicted time when the power consumption area reaches the highest price bracket in the current year in the estimation module, and plans the power consumption structure of the power consumption area based on the power consumption information of the power consumption area. The early warning module sets the continuous operation period of the estimation module, controls the continuous operation of the estimation module, and issues a power consumption warning based on the operation result of the estimation module. The message module is used for generating low heat trace mute diesel SOFC power generation system operation message.

2. A low-heat-footprint silent diesel SOFC power generation control system according to claim 1, characterized by, The planning module is provided with a sub-module, including: The calculation unit is used for calculating the future excess power consumption of the power consumption area. The calculation logic of the future excess power consumption of the power consumption area is represented as: ； In the formula: is the future excess power consumption of the power consumption area; is the remaining number of days in the current year; is the number of days from the estimated date in the estimation module to the current date; is the daily average power consumption of the power consumption area up to the current date; The calculation unit is provided with a sub-module, including: The identification unit is used for identifying the interval days from the current date of the power consumption area to the time when the power consumption area reaches the highest price bracket in the current year predicted in the estimation module. The distribution unit receives the interval days identified in the identification module, and distributes the future excess power consumption of the power consumption area through the interval days.

3. A low-heat-footprint silent diesel SOFC power generation control system according to claim 2, wherein, The operation executed by the distribution unit is the planning of the power consumption structure of the power consumption area in the planning module. The operation of distributing the future excess power consumption of the power consumption area through the interval days in the distribution unit is: the future excess power consumption of the power consumption area is evenly distributed to each day of the interval days identified by the identification unit; In the power consumption information of the power consumption area monitored by the monitoring module, the power consumption period set of each day is obtained, and the time period with the highest power consumption demand in each day is captured. The application time period of the low-heat trace silent diesel SOFC power generation system is the union of the time period with the highest electricity demand in each day, and the low-heat trace silent diesel SOFC power generation system provides power when the electricity demand exists in the electricity area in the application time period of the low-heat trace silent diesel SOFC power generation system.

4. A low-heat-footprint silent diesel SOFC power generation control system according to claim 1, wherein, The continuous operation period of the estimation module in the early warning module is customized by the system end user, the planning result of the electricity structure of the electricity area in the planning module is applied synchronously, the early warning module is connected with the mobile computer equipment of the electricity management background of the electricity area through a local area network, and the electricity early warning content sent by the early warning module is text information. The electricity early warning content sent by the early warning module includes that the electricity area has an excessive electricity problem.

5. A low-heat-footprint silent diesel SOFC power generation control system according to claim 1, wherein, The early warning module is internally provided with a sub-module, including: The reset unit is used for receiving the predicted time of reaching the highest electricity price level in the year of the estimation module each time, and deciding whether to reset the system operation based on the time of reaching the highest electricity price level in the year. The logic of the reset unit for deciding whether to reset the system operation is: ； wherein: is the decision value; is the most recent estimate of the time within the year to reach the highest price tier; is the last estimate of the time within the year to reach the highest price tier compared to the last estimate of the time within the year to reach the highest price tier compared to Wherein, the decision value is 1, the estimation module waits for the next operation based on the continuous operation period, the decision value is 0, the early warning module issues a warning, and the reset unit synchronously resets the system operation.

6. A low-heat-footprint silent diesel SOFC power generation control system according to claim 1, wherein, The running message content of the low-heat trace silent diesel SOFC power generation system generated in the message module includes: low-heat trace silent diesel SOFC power generation system running time period record, low-heat trace silent diesel SOFC power generation system cumulative power generation.

7. A low-heat-footprint silent diesel SOFC power generation control system according to claim 1, wherein, The monitoring module is interactively connected with the estimation module through a wireless network, the lower level of the estimation module is interactively connected with the receiving unit and the correction unit through a wireless network, the receiving unit is interactively connected with the monitoring module through a wireless network, the estimation module is interactively connected with the planning module through a wireless network, the internal planning module is interactively connected with the calculation unit through a wireless network, the calculation unit is interactively connected with the monitoring module through a wireless network, the lower level of the calculation unit is interactively connected with the identification unit and the distribution unit through a wireless network, the planning module is interactively connected with the early warning module through a wireless network, the internal early warning module is interactively connected with the reset unit through a wireless network, and the early warning module is interactively connected with the message module through a wireless network.

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