Power supply abnormity early warning method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a power supply abnormity early warning method and device, electronic equipment and a storage medium, whether a power supply system is about to have a power supply abnormity condition can be predicted, and an early warning signal is sent when the power supply system is about to have the power supply abnormity condition, so that a user can know the power supply abnormity condition of the power supply system in advance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy, in particular to a power supply abnormality early warning method and device, electronic equipment and storage medium. BACKGROUND

[0002] New energy power generation has gradually increased its proportion in the global energy structure in recent years due to its advantages of being renewable and low-polluting, and has become a key to solving current environmental problems.

[0003] The power supply power output by a new energy power supply device has significant fluctuation characteristics. When a load device includes a new energy power supply device in its power supply system, the power supply power output by the power supply system also has fluctuation characteristics. The higher the proportion of power supply power output by the new energy power supply device, the more obvious the fluctuation of the power supply power output by the power supply system. Therefore, the power supply system may have a power supply abnormality when supplying power to the load device. Specifically, when the power supply power output by the power supply system is greater than the power demand of the load device, power supply power waste may occur. When the power supply power output by the power supply system is less than the power demand of the load device, the load device may not be able to operate normally.

[0004] In order to be able to optimize and adjust the power supply system and / or the load device in a timely manner, the user needs to know in advance the power supply abnormality that will occur in the power supply system. However, when the current power supply system is used to supply power to the load device, this purpose cannot be achieved.

[0005] Therefore, how to enable the user to know in advance the power supply abnormality that will occur in the power supply system has become a technical problem to be solved at present. SUMMARY

[0006] The present application provides a power supply abnormality early warning method and device, electronic equipment and storage medium, which can enable the user to know in advance the power supply abnormality that will occur in the power supply system.

[0007] In a first aspect, the present application provides a power supply abnormality early warning method applied to an electronic device, wherein the electronic device is electrically connected to a load device and a power supply system respectively; the power supply system is used to supply power to the load device, and the power supply system includes a new energy power supply device;

[0008] The method comprises: predicting whether the power supply system will have a power supply abnormality; and if the power supply system will have a power supply abnormality, issuing a warning signal.

[0009] In a second aspect, an embodiment of the present application provides a power supply abnormality early warning device, which is arranged in an electronic device, and the electronic device is electrically connected with a load device and a power supply system respectively; the power supply system is used for supplying power to the load device, and the power supply system comprises a new energy power supply device;

[0010] The power supply abnormality early warning device comprises:

[0011] a prediction module, which is used for predicting whether the power supply system will have a power supply abnormality;

[0012] an early warning module, which is used for sending an early warning signal if the power supply system will have a power supply abnormality.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, which comprises a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and the processor executes the computer program to enable the electronic device to implement the method in the first aspect or various possible implementation manners of the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores computer instructions, and the computer instructions are used for implementing the method in the first aspect or various possible implementation manners of the first aspect when executed by a processor.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program product comprising a computer program, and the computer program is executed by a processor to implement the method in the first aspect or various possible implementation manners of the first aspect.

[0016] The power supply abnormality early warning method, device, electronic device, and storage medium provided in the embodiments of the present application can predict whether the power supply system will have a power supply abnormality, and send an early warning signal when the power supply system will have a power supply abnormality, so that a user can know in advance the power supply abnormality of the power supply system. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0018] Figure 1 is a schematic diagram of an implementation environment to which the power supply abnormality early warning method provided in the embodiments of the present application is applicable;

[0019] Figure 2A flowchart of a method for power supply anomaly early warning provided by an embodiment of the present application;

[0020] Figure 3 A flowchart of a method for predicting whether a power supply system will have a power supply anomaly provided by an embodiment of the present application;

[0021] Figure 4 Another flowchart of a method for predicting whether a power supply system will have a power supply anomaly provided by an embodiment of the present application;

[0022] Figure 5 Still another flowchart of a method for predicting whether a power supply system will have a power supply anomaly provided by an embodiment of the present application;

[0023] Figure 6 Yet another flowchart of a method for predicting whether a power supply system will have a power supply anomaly provided by an embodiment of the present application;

[0024] Figure 7 Another flowchart of a method for power supply anomaly early warning provided by an embodiment of the present application;

[0025] Figure 8 A structural diagram of a power supply anomaly early warning device provided by an embodiment of the present application;

[0026] Figure 9 A structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0027] The term "and / or" in the present document is used to describe an association relationship of associated objects, which means that there can be three relationships, for example, A and / or B can mean that there are three cases of A alone, A and B together, and B alone. The symbol " / " in the present document represents an or relationship of associated objects, for example, A / B represents A or B.

[0028] The terms "first" and "second" and the like in the description and claims of the present document are used to distinguish different objects, and are not used to describe a specific order of the objects. For example, the first response message and the second response message are used to distinguish different response messages, and are not used to describe a specific order of the response messages.

[0029] In the embodiments of the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design presented as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or advantageous than other embodiments or design solutions. Rather, the use of "exemplary" or "for example" is intended to present relevant concepts in a concrete manner.

[0030] In the description of the embodiments of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more, for example, a plurality of processors means two or more processors, and the like; a plurality of elements means two or more elements, and the like.

[0031] The source network load storage integration project refers to the deep integration of power source (source), power grid (network), load (load), and energy storage (storage) through technical cooperation, intelligent regulation and control, and market mechanism, to form a dynamic balance and efficient interaction overall system. In general, the power source in the source network load storage project can include public power grid and new energy, specifically the power supply system in the embodiments of the present application. The "load" in the source network load storage project is called power utilization facility, and the power utilization facility is also called active power equipment, load, load equipment, load device, and the like. New energy includes but is not limited to wind farms, photovoltaic power stations, tidal power stations, and the like.

[0032] In the related art, the power supply system can be used to supply power to the load device to maintain the operation of the load device. Specifically, the power supply system can include a new energy power supply device, and can also include other types of power supply devices. The fluctuation of the power supply of the new energy power supply device is essentially determined by its "rely on the sky" characteristic.

[0033] For example, the new energy power supply device can be a wind power device, and the power supply of the wind power device depends on the wind speed. When the wind speed suddenly rises or drops, the power supply of the wind power device will fluctuate greatly. Similarly, the new energy power supply device can be a solar power device, and the power supply of the solar power device depends on the solar radiation received by the photovoltaic module. When the weather of the photovoltaic power station changes from sunny to cloudy, the power supply can suddenly drop in a short time.

[0034] The power supply of the new energy power supply device can account for a high proportion in the power supply system, for example, more than 60%. This makes the power supply of the power supply system have a large fluctuation. In this case, the power supply of the power supply system is often wasted, or the power supply is insufficient, resulting in the load device cannot operate normally. However, the user cannot know in advance the power supply abnormality that will occur in the power supply system.

[0035] Therefore, how to enable the user to know in advance the power supply abnormality that will occur in the power supply system has become a technical problem to be solved at present.

[0036] In view of this, embodiments of this application provide a power supply anomaly early warning method, device, electronic device, and storage medium, which can issue an early warning signal when a power supply anomaly is predicted to occur in the power supply system, thereby enabling users to know in advance of the power supply anomaly that will occur in the power supply system, so as to make timely optimization and adjustment, thereby ensuring the normal operation of the load equipment.

[0037] Figure 1 This is a schematic diagram illustrating the implementation environment to which the power supply anomaly early warning method provided in this application is applicable. Please refer to... Figure 1 The implementation environment includes electronic equipment, a power supply system, and load equipment. The power supply system may include renewable energy power supply devices. For example, the renewable energy power supply device may be a wind power supply device or a solar power supply device.

[0038] The execution subject of this application embodiment is an electronic device, which can be a server, desktop computer, laptop, or other such device; this application embodiment is not limited to this. This electronic device can be connected to both the power supply system and the load device, thereby enabling it to obtain real-time power supply and power supply plans from the power supply system, as well as real-time power consumption and power demand plans from the load device. This will be described in detail below.

[0039] The load equipment can be high-energy-consuming equipment, including but not limited to data centers, electric arc furnaces, refrigeration equipment, pumps, boilers, etc. Electric arc furnaces include but are not limited to manganese silicon electric arc furnaces, ferrosilicon electric arc furnaces, etc.

[0040] based on Figure 1 The implementation environment shown below illustrates the power supply anomaly early warning method provided in this application embodiment. For example... Figure 2 As shown, Figure 2 This is a flowchart illustrating a power supply anomaly early warning method provided in an embodiment of this application. The executing entity in this embodiment is an electronic device, and the power supply anomaly early warning method provided in this embodiment may include the following steps:

[0041] S21, predict whether the power supply system will experience a power supply abnormality;

[0042] S22: If a power supply abnormality is expected, a warning signal will be issued.

[0043] In this embodiment, a power supply anomaly can specifically refer to a situation where the power supply capacity of the power supply system exceeds the power demand of the load device. In this case, some of the power supply capacity of the power supply system will be wasted, resulting in low energy utilization. A power supply anomaly can also refer to a situation where the power supply capacity of the power supply system is less than the power demand of the load device. In this case, the load device may not be able to function properly.

[0044] The electronic device can predict whether the power supply system will have a power supply abnormal situation according to the related situation of the power supply system and the load device. If the power supply abnormal situation will occur, a warning signal can be sent out. For example, the electronic device can have a display screen or a signal light, and the electronic device can display the warning signal on the display screen or send out the warning signal through the signal light. In this way, the user can know in advance whether the power supply system will have a power supply abnormal situation according to whether the electronic device sends out the warning signal.

[0045] In some embodiments of the present application, as shown in Figure 3 The step of predicting whether the power supply system will have a power supply abnormal situation (step S21) can include the following steps:

[0046] S211A, obtaining a first power supply power value of the new energy power supply device at a first time and a second power supply power value at a second time; the first time and the second time are not later than the current time;

[0047] S212A, determining a power supply power difference value of the first power supply power value and the second power supply power value;

[0048] S213A, predicting whether the power supply system will have a power supply abnormal situation according to the comparison result of the power supply power difference value and a first preset value; the first preset value is determined according to the time difference value of the first time and the second time.

[0049] In the embodiments of the present application, the first time and the second time are two different times not later than the current time. In one example, both of the two times are earlier than the current time, for example, the current time is 9 o'clock, the first time can be 8:50, and the second time can be 8:55. In another example, the second time can be the current time, and the first time can be earlier than the current time. For example, the current time is 9 o'clock, the second time is 9 o'clock, and the first time is 8:52.

[0050] The user can determine the size of the first preset value according to the time difference value of the first time and the second time in advance based on actual needs. Specifically, the first preset value can have a positive correlation with the time difference value of the two times, that is, the greater the time difference value of the two times, the greater the first preset value. For example, the first preset value can be the product of a preset coefficient and the time difference value of the two times, and the preset coefficient can be set according to actual needs. For example, the time difference value of the two times is 2 minutes, and the first preset value is 2000 megawatts. Or, the time difference value of the two times is 4 minutes, and the first preset value is 4000 megawatts.

[0051] The electronic device can obtain the power supply values of the new energy power supply device at the two time points respectively. For example, the time difference between the first time point and the second time point is 4 minutes, the first power supply value at the first time point is 40 GW, and the second power supply value at the second time point is 34 GW. The difference between the two power supply values is 6 GW.

[0052] Next, the electronic device can compare the power supply difference with the first preset value. If the power supply difference is greater than the first preset value, it indicates that the power supply value of the new energy power supply device decreases rapidly, and the new energy power supply device has an abnormal situation during operation. For example, when the new energy is wind energy, the rapid decrease of the power supply value may be caused by sudden wind speed drop or fan failure. For example, the first preset value is 4 GW, and the power supply difference is 6 GW, which is greater than the first preset value.

[0053] Therefore, the electronic device can predict that the power supply system may have a power supply abnormality of insufficient power supply, and can issue a warning signal to inform the user of the risk in advance, and to maintain the new energy power supply device to prevent the load device from working abnormally.

[0054] In some embodiments of the present application, as shown in Figure 4 The prediction of whether the power supply system will have a power supply abnormality (step S21) can include the following steps:

[0055] S211B, obtaining a third power supply value of the power supply system at a third time point and a fourth power supply value at a fourth time point; the third time point and the fourth time point are not later than the current time point;

[0056] S212B, determining the decrease rate of the power supply value of the power supply system according to the third power supply value and the fourth power supply value;

[0057] S213B, according to the third power supply value or the fourth power supply value, the decrease rate, and the power demand plan of the load device, predicting a fifth time point when the power supply value of the power supply system starts to be lower than the power demand value of the load device;

[0058] S214B, determining the time difference between the current time point and the fifth time point, and predicting whether the power supply system will have a power supply abnormality according to the comparison result of the time difference and the preset time threshold.

[0059] In the embodiments of the present application, the third time and the fourth time are two different times not later than the current time. The electronic device can obtain the power supply value of the power supply system at the third time (i.e., the third power supply value) and the power supply value of the power supply system at the fourth time (i.e., the fourth power supply value), respectively, and calculate the power supply difference value of the two.

[0060] Next, the electronic device can calculate the power supply rate of the power supply system according to the power supply difference value of the two and the time difference value between the third time and the fourth time.

[0061] For example, the power supply value of the power supply system at the third time is 40,000 MW, the power supply value of the power supply system at the fourth time is 34,000 MW, and the time difference value between the third time and the fourth time is 4 minutes. Thus, the power supply rate of the power supply system is 1,500 MW per minute.

[0062] The electronic device can obtain the power demand plan of the load device in the preset time period, which indicates the power demand value of the load device at each time in the preset time period. The power demand value of the load device in the preset time period can be constant or change constantly, depending on the running state of the load device in the preset time period.

[0063] Next, the electronic device can calculate the time (i.e., the fifth time) when the power supply value of the power supply system starts to be lower than the power demand value of the load device according to the power supply rate, the third power supply value (or the fourth power supply value), and the power demand plan of the load device. For example, the power supply rate of the power supply system is 1,500 MW per minute, the third power supply value is 40,000 MW, the third time is 8:56, and the power demand value of the load device is constant at 28,000 MW. Thus, it can be calculated that the time when the power supply value of the power supply system starts to be lower than the power demand value of the load device is 9:04.

[0064] Next, the electronic device can calculate the time difference value between the current time and the fifth time. For example, the current time is 9:00. Thus, it can be calculated that the time difference value between the current time and the fifth time is 4 minutes.

[0065] Then, the electronic device can compare the time difference value with the preset time threshold. If the time difference value is less than the preset time threshold, it indicates that the power supply system will soon have a power supply abnormality. Thus, a warning signal can be sent to the user to understand the risk in advance and to maintain the power supply system to prevent the load device from not working normally.

[0066] Specifically, the preset time threshold can be set according to actual needs. For example, the preset time threshold can be 5 minutes, and the time difference is 4 minutes, which is less than the preset time threshold, so the electronic device can issue a warning signal.

[0067] In some embodiments of the present application, the power supply system includes a power grid power supply device. As Figure 5 As shown, predicting whether the power supply system will have a power supply abnormality (step S21) can include the following steps:

[0068] S211C, obtaining a power supply power plan of the power grid power supply device in a preset time period;

[0069] S212C, according to the power supply power plan, predicting whether the power supply power value of the power grid power supply device will be greater than a preset power threshold value in the preset time period.

[0070] In the embodiments of the present application, the power supply system can include a power grid power supply device, which is a device for supplying power to a public power grid. Specifically, the public power grid is an important power infrastructure in modern society, and through the power transmission and distribution system, electric energy is transmitted from the power generation end to the user end.

[0071] The user can set the preset time period according to actual needs. For example, the preset time period can be an intra-day monitoring period, which can be 8 hours after the current time. For example, if the current time is 9:00, the preset time period is 9:00 to 17:00.

[0072] The electronic device can obtain a power supply power plan of the power grid power supply device in a preset time period, which includes the power supply power value of the power grid power supply device at each time in the preset time period. Therefore, the electronic device can predict whether the power supply power value of the power grid power supply device will be greater than a preset power threshold value in the preset time period according to the power supply power plan in the preset time period. If so, it indicates that the power supply system will have a power supply abnormality. The preset power threshold value can be set according to actual needs.

[0073] Currently, in related policies, punitive policies are implemented for industrial enterprises with excessive power consumption, aiming to promote energy saving and emission reduction and industrial structure adjustment. That is, for a factory, when the actual power supply power value of the power grid power supply device is greater than the maximum power supply power value allowed by the public power grid, a fine will be imposed. For example, the maximum power supply power value allowed by the public power grid can be 45,000 megawatts.

[0074] In an implementation, the preset power threshold can be equal to the maximum power supply value allowed by the public power grid, i.e. 450,000 MW. If the electronic device predicts that the power supply value of the power grid power supply device will be greater than the preset power threshold in the preset time period, it indicates that a fine will be imposed, and the emergency is relatively high, and thus the first warning signal can be sent. The first warning signal has a high level and is used to represent a high degree of emergency.

[0075] In another implementation, the preset power threshold can be equal to the difference between the maximum power supply value allowed by the public power grid and a preset buffer value (i.e. a second preset value). The preset buffer value can be set according to actual needs. For example, the maximum power supply value allowed by the public power grid is 450,000 MW, and the preset buffer value is 30,000 MW, and thus the preset power threshold is 420,000 MW. If the electronic device predicts that the power supply value of the power grid power supply device will be greater than the preset power threshold in the preset time period, it indicates that there is a risk of being imposed a fine, and the emergency is relatively low, and thus the second warning signal can be sent. The second warning signal has a low level and is used to represent a low degree of emergency.

[0076] The first warning signal and the second warning signal can be set in different forms so as to distinguish the levels of the warning signals for the user. For example, the first warning signal can be a sound alarm signal, and the second warning signal can be a pop-up prompt page triggered on the display screen. The user can determine the degree of emergency of the power supply abnormality of the power grid power supply device according to the level of the warning signal, and thus take different measures according to different degrees of emergency so as to avoid the power supply power of the power grid power supply device being too large.

[0077] In some embodiments of the present application, as shown in Figure 6 The step of predicting whether the power supply system will have a power supply abnormality (step S21) can include the following steps:

[0078] S211D, obtaining a power supply plan of the power supply system in a preset time period and a power demand plan of the load device in the preset time period;

[0079] S212D, predicting whether the load device will have a power supply power gap in the preset time period according to the power supply plan and the power demand plan.

[0080] In the embodiments of the present application, the preset time period can be a future time period, and specifically, can be a time period of 8 hours after the current time. For example, the user can determine the power demand plan of the load device in advance according to the amount of electricity consumed by the load device in a working cycle and the power supply of the power supply system to the load device. The user can also design the power supply plan of the power supply system in advance according to the predicted working state of the load device. The power supply plan of the power supply system in the preset time period is used to indicate the planned power supply of the power supply system at each time in the preset time period. The power demand plan of the load device in the preset time period is used to indicate the planned power demand value of the load device at each time in the preset time period.

[0081] When the power demand value of the load device at a certain time is greater than the power supply value of the power supply system at the time, and the difference between the two is greater than a preset value, it is considered that there is a power gap. When there is a power gap, the load device cannot operate normally. The preset value can be set according to the actual situation.

[0082] The electronic device can determine the difference between the planned power supply value of the power supply system and the planned power demand value of the load device at each time by comparing the power supply plan and the power demand plan, so as to determine whether the power supply gap will occur in the load device in the preset time period.

[0083] Specifically, if the power supply gap will occur in a short time period (first time period) after the current time, it indicates that the emergency is relatively high, and therefore a first warning signal can be sent. The first warning signal has a high level and is used to represent a high degree of emergency.

[0084] Specifically, if the power supply gap will occur in a long time period (second time period) after the current time, it indicates that the emergency is relatively low, and therefore a second warning signal can be sent. The second warning signal has a low level and is used to represent a low degree of emergency.

[0085] The first time period and the second time period are both within the range of the preset time period, and the latest time in the first time period is earlier than the earliest time in the second time period. For example, the current time is 9 o'clock, the preset time period is from 9 o'clock to 17 o'clock, the first time period is from 9 o'clock to 10 o'clock, and the second time period is from 10 o'clock to 11 o'clock.

[0086] In some embodiments of the present application, the power supply abnormality warning method provided by the embodiments of the present application can further include the following steps:

[0087] In the case where it is predicted that the power supply gap will occur in the load device in the preset time period, the power supply plan and / or the power demand plan are optimized and adjusted.

[0088] According to the power supply power plan after the optimization adjustment, the power supply power of the power supply system is controlled, and / or according to the power demand plan after the optimization adjustment, the power demand of the load device is controlled.

[0089] After the end of the preset time period, the number of intersections between the actual power consumption curve of the load device and the actual output power curve of the power supply system is determined.

[0090] According to the number of intersections, the effect of the optimization adjustment process is evaluated.

[0091] In the embodiments of the present application, when the electronic device predicts that the load device will have a power supply power gap in the preset time period, it indicates that the load device is likely to have a power supply power shortage. In order to avoid this situation, the power supply power plan of the power supply system can be adjusted. Alternatively, the power demand plan of the load device can also be adjusted.

[0092] For example, the preset time period is from 9:00 to 17:00, and the electronic device predicts that the load device will have a power gap from 12:00 to 12:26, and the power supply power in this time period can be increased in the power supply power plan, or the power demand of the load device in this time period can be reduced in the power demand plan, so as to avoid the situation that the power supply power value is lower than the power demand value as much as possible. Of course, the power supply power plan of the power supply system and the power demand plan of the load device can also be adjusted at the same time.

[0093] Then, the electronic device can control the power supply power of the power supply system according to the power supply power plan after the optimization adjustment, and / or control the power demand of the load device according to the power demand plan after the optimization adjustment. For example, the electronic device can control the operation mode of the load device, thereby reducing the power demand of the load device.

[0094] Since there may be some errors between the actual power supply power of the power supply system and the power supply power plan, and there may be some errors between the actual power consumption of the load device and the power demand plan, the situation that the power supply power value is lower than the power demand value may still occur.

[0095] After the end of the aforementioned preset time period, the electronic device can compare the number of intersections between the actual power consumption curve of the load device and the actual output power curve of the power supply system. The point of intersection between the two curves represents that the actual power consumption of the load device changes from greater than the power supply power of the power supply system to less than the power supply power of the power supply system, or changes from less than the power supply power of the power supply system to greater than the power supply power of the power supply system. According to the number of intersections of the two curves, the electronic device can evaluate the effect of the optimization adjustment process.

[0096] In an ideal case, the power supply value of the power supply system should always be slightly greater than the power demand value of the load device, i.e., the intersection number of the two curves is zero, in which case the load device can be in a normal working state all the time. The more the intersection number of the two curves, the worse the result of the aforementioned optimization adjustment process. The less the intersection number of the two curves, the better the result of the aforementioned optimization adjustment process.

[0097] In some embodiments of the present application, as shown in Figure 7 The power supply abnormality early warning method provided by the embodiments of the present application can further include:

[0098] S23, determining whether the load device currently has an abnormal running condition;

[0099] S24, if the load device currently has an abnormal running condition, issuing an alarm signal.

[0100] In the embodiments of the present application, the electronic device can determine whether the load device currently has an abnormal running condition. If the load device has an abnormal running condition, the electronic device can issue an alarm signal to prompt the user to maintain the load device.

[0101] The alarm signal in the embodiments of the present application can have a different form from the aforementioned early warning signal, so as to distinguish the two for the user. For example, the alarm signal or the early warning signal can be displayed on the display screen in the form of text content.

[0102] In a specific implementation, the electronic device can obtain the current power demand value and the current actual power supply value of the load device, and calculate the difference between the two. Then the difference between the two is compared with a third preset value. The user can set the third preset value according to actual needs.

[0103] If the difference between the two is greater than the third preset value, it means that the current power demand value of the load device is abnormal, i.e., the load device currently has an abnormal running condition. Therefore, the electronic device can issue an alarm signal to prompt the user to check the fault currently existing in the load device.

[0104] In another implementation, the electronic device can obtain the actual power consumption of the load device in a working cycle. For example, the load device can be an electric arc furnace, and a working cycle of the electric arc furnace can include a power-on heating stage, a high-temperature melting stage, and an iron tapping stage.

[0105] The electronic device can pre-acquire the power consumed by the load device in a working cycle in a normal working state, and take the power as a standard power. After a working cycle of the load device ends, the electronic device can acquire the actual power consumed by the load device in the working cycle. Then, the electronic device can calculate a power difference between the actual power and the standard power.

[0106] The user can pre-set the fourth preset value according to actual needs. For example, when the load device operates normally, the difference between the actual power consumed by the load device in a working cycle and the standard power is generally less than 1000 megawatt hours, and therefore the fourth preset value can be set to 1000 megawatt hours. The electronic device compares the aforementioned power difference with the fourth preset value, and if the power difference is greater than the fourth preset value, it indicates that the load device is not in a normal working state in the cycle, and therefore it can be determined that the load device currently has an abnormal operating condition. Then, the electronic device can issue an alarm signal to prompt the user to check the fault currently existing in the load device.

[0107] In addition, the power supply system can send the current power value and / or power supply power plan and the like information to the electronic device through the communication line according to a preset frequency (for example, once per minute), and when the electronic device cannot timely receive the relevant information, an alarm signal can be issued to facilitate the user to repair. For example, the cause of the above problem can be that the power supply system has a problem, or the electronic device has a problem, or the communication line has a problem.

[0108] Figure 8 A schematic diagram of a power supply abnormality early warning device provided by an embodiment of the present application is provided. The power supply abnormality early warning device 8 is arranged in an electronic device, and the electronic device is electrically connected with a load device and a power supply system respectively; the power supply system is used for supplying power to the load device, and the power supply system includes a new energy power supply device;

[0109] The power supply abnormality early warning device 8 can include: a prediction module 81, configured to predict whether the power supply system will have a power supply abnormality; and a warning module 82, configured to issue a warning signal if the power supply system will have a power supply abnormality.

[0110] The power supply abnormality early warning device provided by the embodiment of the present application can predict whether the power supply system will have a power supply abnormality, and issue a warning signal when the power supply system will have a power supply abnormality, so that the user can know in advance that the power supply system will have a power supply abnormality.

[0111] Optionally, in some embodiments of the present application, the prediction module 81 is specifically configured to:

[0112] acquire a first power supply value of the new energy power supply device at a first time and a second power supply value of the new energy power supply device at a second time, wherein the first time and the second time are not later than a current time;

[0113] determine a power supply difference value of the first power supply value and the second power supply value;

[0114] predict whether the power supply system will have a power supply abnormal situation according to a comparison result of the power supply difference value and a first preset value, wherein the first preset value is determined according to a time difference value of the first time and the second time.

[0115] Optionally, in some embodiments of the present application, the prediction module 81 is specifically configured to: acquire a third power supply value of the power supply system at a third time and a fourth power supply value of the power supply system at a fourth time, wherein the third time and the fourth time are not later than the current time;

[0116] determine a power supply value decreasing rate of the power supply system according to the third power supply value and the fourth power supply value;

[0117] predict a fifth time when the power supply value of the power supply system starts to be lower than the power demand value of the load device according to the third power supply value or the fourth power supply value, the power supply value decreasing rate, and a power demand plan of the load device;

[0118] determine a time difference value of the current time and the fifth time, and predict whether the power supply system will have a power supply abnormal situation according to a comparison result of the time difference value and a preset time threshold.

[0119] Optionally, in some embodiments of the present application, the power supply system comprises a power grid power supply device, and the prediction module 81 is specifically configured to:

[0120] acquire a power supply plan of the power grid power supply device in a preset time period;

[0121] predict whether the power supply value of the power grid power supply device will be greater than a preset power threshold value in the preset time period according to the power supply plan.

[0122] Optionally, in some embodiments of the present application, the preset power threshold value is equal to a maximum power supply value allowed by the power grid;

[0123] The prediction module 81 is specifically configured to: if the power supply value of the power grid power supply device will be greater than the preset power threshold value, a first alarm signal is sent.

[0124] Optionally, in some embodiments of the present application, the preset power threshold is a second preset value from a maximum power supply value allowed by the power grid.

[0125] The prediction module 81 is specifically configured to: if the power supply power value of the power grid power supply device will be greater than the preset power threshold, a second alarm signal is sent.

[0126] Optionally, in some embodiments of the present application, the prediction module 81 is specifically configured to: obtain a power supply plan of the power supply system in a preset time period and a power demand plan of the load device in the preset time period.

[0127] According to the power supply plan and the power demand plan, it is predicted whether the load device will have a power supply power gap in the preset time period.

[0128] Optionally, in some embodiments of the present application, the prediction module 81 is specifically configured to: if it is predicted that the load device will have a power supply power gap in a first time period, a first early warning signal is sent.

[0129] If it is predicted that the load device will have a power supply power gap in a second time period, a second early warning signal is sent.

[0130] The first time period and the second time period are both within the range of the preset time period, the latest time in the first time period is earlier than the earliest time in the second time period, and the priority of the first early warning signal is higher than the priority of the second early warning signal.

[0131] Optionally, in some embodiments of the present application, the power supply anomaly early warning device 8 further comprises an evaluation module; the evaluation module is configured to:

[0132] In the case where it is predicted that the load device will have a power supply power gap in the preset time period, the power supply plan and / or the power demand plan are optimized and adjusted;

[0133] According to the optimized and adjusted power supply plan, the power supply power of the power supply system is controlled, and / or according to the optimized and adjusted power demand plan, the power demand of the load device is controlled;

[0134] After the end of the preset time period, the number of intersections of the actual consumption power curve of the load device and the actual output power curve of the power supply system is determined.

[0135] According to the number of intersections, the effect of the optimization and adjustment process is evaluated.

[0136] Optionally, in some embodiments of the present application, the power supply anomaly early warning device 8 further comprises:

[0137] a judging module, configured to judge whether the load device currently exists an abnormal operation situation or not;

[0138] an alarming module, configured to send an alarm signal if the load device currently exists the abnormal operation situation.

[0139] Optionally, in some embodiments of the present application, the judging module is specifically configured to:

[0140] obtain a current actual power demand value of the load device and a current actual power supply value of the power supply system;

[0141] determine a difference value between the current actual power demand value and the current actual output power value;

[0142] judge whether the load device currently exists the abnormal operation situation according to a comparison result of the difference value and a third preset value.

[0143] Optionally, in some embodiments of the present application, the judging module is specifically configured to:

[0144] obtain an actual power consumption of the load device in a working cycle;

[0145] determine an electric quantity difference value between the actual power consumption and a standard electric quantity; the standard electric quantity is an electric quantity consumed by the load device in a working cycle under a normal working state;

[0146] judge whether the load device currently exists the abnormal operation situation according to a comparison result of the electric quantity difference value and a fourth preset value.

[0147] The power supply abnormality early warning device provided by the embodiments of the present application can execute the actions of the electronic device in the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

[0148] As shown in Figure 9 the embodiments of the present application further provide an electronic device. The electronic device includes a memory and a processor. The memory is configured to store a computer program. When the computer program is executed by the processor, the power supply abnormality early warning method as described above can be realized. For details, refer to the description of the foregoing embodiments.

[0149] Specifically, at the hardware level, the electronic device can include a processor, an internal bus and a memory. The memory can include a memory and a non-volatile memory. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs. Those skilled in the art can understand that Figure 9 The structure shown in the figure is only schematic, which does not limit the structure of the above-mentioned electronic device. For example, the electronic device can further include moreFigure 9 More or less components shown in the figure can be included, such as other processing hardware, such as a GPU (Graphics Processing Unit), or a communication port, etc. Of course, in addition to the software implementation, the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, etc.

[0150] In the embodiment, the processor can include a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), and can also include other single-chip microcomputers, logic gate circuits, integrated circuits, etc. having logic processing capability, or appropriate combinations thereof. The memory in the embodiment can be a memory device for storing information. In a digital system, a device capable of storing binary data can be a memory; in an integrated circuit, a circuit without a physical form having a storage function can also be a memory, such as a RAM, a FIFO, etc.; in a system, a storage device having a physical form can also be called a memory, etc. When implemented, the memory can also be implemented in the form of a cloud memory. The specific implementation manner is not limited in the specification.

[0151] The present application also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the power supply abnormality early warning method described above can be implemented.

[0152] The present application also provides a computer program product, which contains a computer program, and when the computer program is executed by a processor, the power supply abnormality early warning method described above is implemented.

[0153] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be implemented by means of software and necessary general hardware platforms, and of course can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

[0154] The above description is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A power supply abnormality early warning method, applied to an electronic device, the electronic device being electrically connected with a load device and a power supply system respectively, the power supply system comprising a new energy power supply device. The power supply system is used for supplying power to the load device; The method comprises: predicting whether the power supply system will have a power supply abnormal situation; if the power supply abnormal situation will occur, issuing a warning signal.

2. The method of claim 1, wherein, The prediction of whether the power supply system will have a power supply abnormal situation comprises: obtaining a first power supply power value of the new energy power supply device at a first time and a second power supply power value at a second time; the first time and the second time are not later than the current time; determining a power supply power difference value of the first power supply power value and the second power supply power value; according to the comparison result of the power supply power difference value and a first preset value, predicting whether the power supply system will have a power supply abnormal situation; the first preset value is determined according to the time difference between the first time and the second time.

3. The method of claim 1, wherein, The prediction of whether the power supply system will have a power supply abnormal situation comprises: obtaining a third power supply power value of the power supply system at a third time and a fourth power supply power value at a fourth time; the third time and the fourth time are not later than the current time; determining a power supply power value falling rate of the power supply system according to the third power supply power value and the fourth power supply power value; according to the third power supply power value or the fourth power supply power value, the falling rate, and the power demand plan of the load device, predicting a fifth time when the power supply power value of the power supply system starts to be lower than the power demand value of the load device; determining a time difference value between the current time and the fifth time, and predicting whether the power supply system will have a power supply abnormal situation according to the comparison result of the time difference value and a preset time threshold.

4. The method of claim 1, wherein, The power supply system comprises a power grid power supply device; The prediction of whether the power supply system will have a power supply abnormal situation comprises: obtaining a power supply power plan of the power grid power supply device within a preset time period; according to the power supply power plan, predicting whether the power supply power value of the power grid power supply device will be greater than a preset power threshold value within the preset time period.

5. The method of claim 4, wherein, The preset power threshold value is equal to the maximum power supply power value allowed by the power grid; if the power supply abnormal situation will occur, issuing a warning signal, which comprises: if the power supply power value of the power grid power supply device will be greater than the preset power threshold value, issuing a first alarm signal.

6. The method of claim 4, wherein, The difference between the preset power threshold value and the maximum power supply power value allowed by the power grid is a second preset value; if the power supply abnormal situation will occur, issuing a warning signal, which comprises: if the power supply power value of the power grid power supply device will be greater than the preset power threshold value, issuing a second alarm signal.

7. The method of claim 1, wherein, The prediction of whether the power supply system will have a power supply abnormal situation comprises: obtaining a power supply power plan of the power supply system within a preset time period and a power demand plan of the load device within the preset time period; according to the power supply power plan and the power demand plan, predicting whether the load device will have a power supply power gap within the preset time period.

8. The method of claim 7, wherein, The prediction of whether the power supply system will have a power supply abnormal situation comprises: if it is predicted that the load device will have a power supply gap in a first time period, a first early warning signal is sent out; if it is predicted that the load device will have a power supply gap in a second time period, a second early warning signal is sent out; wherein the first time period and the second time period are both within the preset time period, the latest time in the first time period is earlier than the earliest time in the second time period, and the first early warning signal has a higher priority than the second early warning signal.

9. The method according to claim 7 or 8, characterized in that, The method further comprises: if it is predicted that the load device will have a power supply gap in the preset time period, the power supply plan and / or the power demand plan is adjusted optimally; according to the optimally adjusted power supply plan, the power supply of the power supply system is controlled, and / or according to the optimally adjusted power demand plan, the power demand of the load device is controlled; after the preset time period ends, the number of intersections between the actual power consumption curve of the load device and the actual output power curve of the power supply system is determined; according to the number of intersections, the effect of the optimal adjustment process is evaluated.

10. The method of claim 1, wherein, The method further comprises: determining whether the load device currently has an abnormal running condition; if the load device currently has an abnormal running condition, an alarm signal is sent out.

11. The method of claim 10, wherein, The determination of whether the load device currently has an abnormal running condition comprises: obtaining the current actual power demand value of the load device and the current actual power supply value of the power supply system; determining the difference between the current actual power demand value and the current actual output power value; according to the comparison result of the difference and a third preset value, determining whether the load device currently has an abnormal running condition.

12. The method of claim 10, wherein, The determination of whether the load device currently has an abnormal running condition comprises: obtaining the actual power consumption of the load device in a working cycle; determining the power difference between the actual power consumption and the standard power consumption; the standard power consumption is the power consumption of the load device in a working cycle under normal working condition; according to the comparison result of the power difference and a fourth preset value, determining whether the load device currently has an abnormal running condition.

13. An electronic device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to make the electronic device implement the method of any one of claims 1 to 12.

14. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the method of any one of claims 1 to 12.

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