Computer time-sharing power supply control method and device and energy storage system

Abstract

The invention provides a computer time-sharing power supply control method based on a power grid and an energy storage system. The method comprises the steps that real-time electricity price data of a regional power grid and load rate data of the regional power grid are acquired in real time; under the condition that the load rate data of the regional power grid exceeds a preset peak threshold value and the real-time electricity price data is in a peak-time electricity price interval, controlling an energy storage system to supply power to a computer equipment cluster at dynamic adjustable power; and when the load rate data of the regional power grid is lower than a preset valley threshold value and the real-time electricity price data is in a valley electricity price interval, the energy management controller closes the power supply output of the energy storage system, and supplies power to the computer equipment cluster through the power grid. According to the technical scheme, the energy storage system is used for supplying power to the computer equipment cluster at the peak of the power grid load, and the mains supply is used for supplying power to the computer equipment cluster at the valley of the power grid load, so that the operation cost of the computer equipment cluster can be effectively reduced, and meanwhile, the stability of the computer equipment during execution and operation of the calculation task is ensured.

Description

Technical Field

[0001] The present invention relates to the field of energy storage, and in particular, to a computer time-sharing power supply control method, device and system, energy management controller and energy storage system based on a power grid and an energy storage system. Background Art

[0002] Currently, with the continuous improvement of the performance of computer devices, their power consumption has also increased accordingly. Especially for some computer device clusters set in a home environment, during the process of performing complex computing tasks that require a large amount of data operations, such as high-definition, high-frame-rate video rendering tasks, big data computing tasks, etc., which need to be completed by multiple computer devices together, it is necessary to ensure the stability of their power supply. However, inevitably, the power consumption of the devices will increase significantly. Currently, computer devices all perform data operations by directly connecting to the mains power, resulting in a relatively high electricity cost. Summary of the Invention

[0003] In order to solve or improve the above technical problem of the relatively high electricity cost of high-performance and high-computing-power computer devices, an object of the present invention is to provide a computer time-sharing power supply control method based on a power grid and an energy storage system.

[0004] Another object of the present invention is to provide a computer time-sharing power supply control device based on a power grid and an energy storage system.

[0005] Another object of the present invention is to provide an energy management controller.

[0006] Another object of the present invention is to provide an energy storage system.

[0007] Another object of the present invention is to provide a computer time-sharing power supply control system based on a power grid and an energy storage system.

[0008] To achieve the above object, the first aspect of the present invention provides a computer time-sharing power supply control method based on a power grid and an energy storage system, which is applied to an energy management controller of the energy storage system. The energy storage system includes a battery pack for supplying power to a computer device cluster and a power grid access unit. The computer time-sharing power supply control method includes: obtaining real-time electricity price data of the regional power grid and load rate data of the regional power grid in real time; when the load rate data of the regional power grid exceeds a preset peak threshold and the real-time electricity price data is in the peak-time electricity price interval, controlling the energy storage system to switch to the energy storage power supply mode. In the energy storage power supply mode, the energy management controller disconnects the computer device cluster from the power grid access unit and controls the energy storage system to supply power to the computer device cluster with a dynamically adjustable power; when the load rate data of the regional power grid is lower than a preset valley threshold and the real-time electricity price data is in the valley-time electricity price interval, controlling the energy storage system to switch to the mains power supply mode. In the mains power supply mode, the energy management controller turns off the power supply output of the energy storage system and switches the power supply of the computer device cluster to the power grid access unit, so as to supply power to the computer device cluster through the power grid.

[0009] According to the computer time-sharing power supply control method provided by the present invention, based on the power grid and the energy storage system, by intelligently scheduling the power supply source of the computer device, when the electricity price is at a peak (i.e., the power grid load is high and the electricity price is expensive), the system automatically switches to the energy storage power supply mode and uses the energy storage battery charged at a low price before to supply power, avoiding high mains electricity costs. When the electricity price is at a valley, the system automatically switches to the mains power supply mode, directly uses the low-price power grid power supply, and turns off the energy storage power supply, thereby reducing unnecessary losses of the energy storage battery. It can be understood that when the power grid load is at a peak, the system avoids taking power from the power grid, relieves the power grid pressure, and helps prevent voltage fluctuations or power rationing measures caused by power grid overload. When the power grid load is at a valley, the system increases the use of mains electricity, improving the overall power consumption efficiency of the power grid.

[0010] By dynamically controlling the energy storage system, that is, controlling the discharge of the energy storage battery with a dynamically adjustable power, it is ensured that the computer device cluster always obtains a stable and sufficient power supply, avoiding affecting the operation efficiency of the computer device due to voltage fluctuations or insufficient power. Specifically, by obtaining the real-time electricity price data of the power grid and the load rate data of the regional power grid, the system can comprehensively judge whether the current electricity price is in the peak interval or the valley interval, and decide whether to use mains electricity or energy storage power supply. By obtaining the load rate data of the regional power grid, the system can judge whether the power grid is currently in a high-load state, so as to decide whether to switch the power supply mode.

[0011] In addition, the above technical solution provided by the present invention may also have the following additional technical features:

[0012] In the above technical solution, after controlling the energy storage system to switch to the energy storage power supply mode, the method further includes: dynamically calculating the number of computer devices to be activated in the computer device cluster according to the difference between the maximum discharge power of the battery pack of the energy storage system and the reserved emergency power; activating the corresponding number of computer devices in the computer device cluster according to the number of computer devices to be activated.

[0013] In this solution, the mechanism for dynamically calculating the activation number of the computer device cluster, that is, after the energy storage system switches to the energy storage power supply mode, the system will determine how many computer devices can be supported to operate according to the difference between the maximum discharge power of the energy storage battery and the reserved emergency power, and dynamically adjust the start and stop of the computer devices.

[0014] In the above technical solution, the computer time-sharing power supply control method further includes: in the energy storage power supply mode, real-time collecting the state of charge data of the battery pack of the energy storage system; when detecting that the state of charge data of the battery pack of the energy storage system is lower than the safety threshold, shutting down some computer devices in the computer device cluster according to a preset hierarchical gradient.

[0015] In this solution, in the case of energy storage power supply, that is, when the energy storage battery supplies power to the computer device cluster in the energy storage power supply mode, on the basis of the original computer time-sharing power supply control method, the mechanism of real-time monitoring the state of charge (SOC) of the energy storage system and performing gradient computer device shutdown can dynamically adjust the computer device load, avoid the depletion of the energy storage battery power, thus ensuring the safe operation of the energy storage system, extending the battery life, and at the same time optimizing the computing efficiency of the computer devices.

[0016] In the above technical solution, after controlling the energy storage system to switch to the mains power supply mode, the method further includes: calculating the change rate of the grid load rate of the regional power grid according to the real-time collected load rate data of the regional power grid; dynamically restricting the power growth rate of the computer device cluster based on the grid load rate change rate.

[0017] In this technical solution, the control mechanism for dynamically restricting the power growth rate of the computer device cluster based on the grid load rate change rate (dL / dt) can prevent the sudden increase in the computer device load from impacting the power grid, thereby improving the smooth operation of the computer devices and reducing the risk of power grid overload.

[0018] In the above technical solution, the computer time-sharing power supply control method further includes: in the mains power supply mode, when detecting a sudden increase in the load rate data of the regional power grid, shutting down some computer devices in the computer device cluster according to a preset hierarchical gradient.

[0019] In this technical solution, in the mains power supply mode, when the load rate of the regional power grid suddenly rises, a control strategy is added to turn off some computer devices according to a preset hierarchical gradient, thereby reducing the impact of computer devices on the power grid, preventing the power grid from becoming unstable or having power cut due to sudden excessive load, improving the stability of computer device operation, and ensuring the safety of the power grid at the same time.

[0020] In the above technical solution, the computer time-sharing power supply control method further includes: in the mains power supply mode, obtaining the power grid dispatching instruction of the regional power grid; when the power grid dispatching instruction includes a load regulation requirement, automatically reducing the total power consumption of the computer device cluster to below the power grid specified threshold.

[0021] In this solution, in the mains power supply mode, the system receives the power grid dispatching instruction of the regional power grid. When the instruction includes a load regulation requirement, the system automatically reduces the total power consumption of the computer device cluster to ensure that the overall power consumption is lower than the threshold specified by the power grid, that is, below the power grid specified threshold.

[0022] In the above technical solution, the energy storage system further includes: a photovoltaic module electrically connected to the battery pack. The computer time-sharing power supply control method further includes: when the power generation power of the photovoltaic module is greater than or equal to the operating power consumption of the computer device cluster, controlling the photovoltaic module to discharge to the computer device cluster at a discharge power corresponding to the operating power consumption.

[0023] In this solution, the energy storage system adds a photovoltaic module and is electrically connected to the battery pack. When the power generation power of the photovoltaic module ≥ the operating power consumption of the computer device cluster, directly control the photovoltaic module to supply power to the computer device, and the supply power matches the operating power consumption. By directly supplying power to the computer device cluster, it does not consume mains power and the power of the energy storage battery, reducing the power grid load.

[0024] The present invention also provides a computer time-sharing power supply control device based on a power grid and an energy storage system, which is applied to an energy management controller of the energy storage system. The energy storage system includes a battery pack for supplying power to a computer device cluster and a power grid access unit. The computer time-sharing power supply control device includes: a data acquisition module, configured to acquire real-time electricity price data of the regional power grid and load rate data of the regional power grid in real time; a power supply adjustment module, configured to control the energy storage system to switch to the energy storage power supply mode when the load rate data of the regional power grid exceeds a preset peak threshold and the real-time electricity price data is within the peak-time electricity price range. In the energy storage power supply mode, the energy management controller disconnects the computer device cluster from the power grid access unit and controls the energy storage system to supply power to the computer device cluster with a dynamically adjustable power; the power supply adjustment module is further configured to control the energy storage system to switch to the mains power supply mode when the load rate data of the regional power grid is lower than a preset valley threshold and the real-time electricity price data is within the valley-time electricity price range. In the mains power supply mode, the energy management controller turns off the power supply output of the energy storage system and switches the power supply of the computer device cluster to the power grid access unit, so as to supply power to the computer device cluster through the power grid.

[0025] In this solution, the computer time-sharing power supply control device includes a data acquisition module and a power supply adjustment module. Through the data acquisition module, the real-time electricity price data of the power grid and the load rate data of the regional power grid can be acquired. Then, through the power supply adjustment module, it is comprehensively judged whether the current electricity price is in the peak interval or the valley interval, and it is decided whether to use mains power or energy storage power supply. By acquiring the load rate data of the regional power grid, the system can judge whether the power grid is currently in a high-load state, so as to decide whether to switch the power supply mode.

[0026] The computer time-sharing power supply control device further includes: an activation module, configured to dynamically calculate the number of computer devices to be activated in the computer device cluster according to the difference between the maximum discharge power of the battery pack of the energy storage system and the reserved emergency power; and activate the corresponding number of computer devices in the computer device cluster according to the number of computer devices to be activated.

[0027] The computer time-sharing power supply control device further includes: an operation restriction module, configured to collect the state of charge data of the battery pack of the energy storage system in real time in the energy storage power supply mode; when it is detected that the state of charge data of the battery pack of the energy storage system is lower than the safety threshold, a part of the computer devices in the computer device cluster are turned off according to a preset hierarchical gradient.

[0028] The present invention also provides an energy management controller, which executes any of the above computer time-sharing power supply control methods.

[0029] Through the energy management controller provided by the present invention, the computer time-sharing power supply control method can be executed, and it is responsible for the intelligent management of the power dispatching among the photovoltaic, energy storage battery, mains power and computer devices.

[0030] Since the energy management controller of this solution can execute any of the above computer time-sharing power supply control methods, it has the beneficial effects of any of the above computer time-sharing power supply control methods, which will not be elaborated here.

[0031] The present invention also proposes an energy storage system, including: a photovoltaic module; the above-mentioned energy management controller, communicatively connected to the photovoltaic module; a battery pack, electrically connected to the photovoltaic module, and the battery pack is communicatively connected to the energy management controller.

[0032] Through the energy storage system provided by the present invention, including a photovoltaic module, a battery pack, and the above-mentioned energy management controller, the photovoltaic module, as a clean energy source, provides renewable electric energy under good lighting conditions, preferentially powers computer equipment, reduces the dependence of computer equipment on the power grid and energy storage batteries, and the excess electric energy can be used to charge the battery pack, improving energy utilization efficiency. The battery pack is used to charge during the low-peak period of the mains power and discharge during the peak period for computer equipment to use. At the same time, the battery pack also works in coordination with the photovoltaic module to supplement power when the photovoltaic power generation is insufficient to maintain the operation of computer equipment. The battery pack has the ability to dynamically adjust power and provides different power discharges according to the needs of computer equipment to prevent battery overload.

[0033] Since the energy storage system of this solution includes the above-mentioned energy management controller, it has the beneficial effects of the above-mentioned energy management controller, which will not be elaborated here.

[0034] The present invention also proposes a computer time-sharing power supply control system based on a power grid and an energy storage system, including: an energy storage system; a computer equipment cluster, electrically connected to the battery pack and / or the photovoltaic module of the energy storage system; a power grid access unit, electrically connected to the computer equipment cluster; wherein, the energy management controller of the energy storage system is used to control at least one of the battery pack of the energy storage system, the photovoltaic module of the energy storage system, and the power grid access unit to supply power to the computer equipment cluster.

[0035] According to the computer time-sharing power supply control system provided by the present invention, including an energy storage system, a computer equipment cluster, and a power grid access unit, the computer equipment can dynamically switch between the power grid, the energy storage system, and the photovoltaic system, thereby maximizing energy cost savings and improving power supply stability.

[0036] Since the computer time-sharing power supply control system of this solution includes the above-mentioned energy storage system, it has the beneficial effects of the above-mentioned energy storage system, which will not be elaborated here.

[0037] The additional aspects and advantages of the technical solution of the present invention will become apparent in the following description section or be understood through the practice of the present invention. Description of the Drawings

[0038] Figure 1Shows a schematic flowchart of a computer time-sharing power supply control method according to an embodiment of the present invention;

[0039] Figure 2 Shows a schematic flowchart of a computer time-sharing power supply control method according to an embodiment of the present invention;

[0040] Figure 3 Shows a schematic flowchart of a computer time-sharing power supply control method according to an embodiment of the present invention;

[0041] Figure 4 Shows a schematic block diagram of the structure of a computer time-sharing power supply control device according to an embodiment of the present invention;

[0042] Figure 5 Shows a schematic block diagram of the structure of a computer time-sharing power supply control device according to an embodiment of the present invention;

[0043] Figure 6 Shows a schematic block diagram of the structure of an energy storage system according to an embodiment of the present invention;

[0044] Figure 7 Shows a schematic block diagram of the structure of a computer time-sharing power supply control system according to an embodiment of the present invention.

[0045] Among them, Figures 4 to 7 The corresponding relationship between the reference numerals and the component names in the figure is as follows:

[0046] 100: Computer time-sharing power supply control device; 102: Data acquisition module; 104: Power supply adjustment module; 106: Activation module; 108: Operation restriction module;

[0047] 200: Energy storage system; 202: Energy management controller; 204: Photovoltaic module; 206: Battery pack;

[0048] 300: Computer time-sharing power supply control system; 302: Computer device cluster; 304: Grid access unit. Detailed implementation manners

[0049] Next, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0050] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / ", generally represents an "or" relationship between the associated objects before and after.

[0051] The following combines the attached Figures 1 to 7 , through specific embodiments and their application scenarios, to provide a computer time-sharing power supply control method, device and system, energy management controller and energy storage system based on a power grid and an energy storage system according to the embodiments of this application.

[0052] This embodiment provides a computer time-sharing power supply control method based on a power grid and an energy storage system, which is applied to the energy management controller of the energy storage system. The energy storage system includes a battery pack and a grid access unit for supplying power to a computer device cluster, as Figure 1 shown. The computer time-sharing power supply control method includes:

[0053] Step S102: Real-time obtain the real-time electricity price data of the regional power grid and the load rate data of the regional power grid;

[0054] Step S104: When the load rate data of the regional power grid exceeds the preset peak threshold and the real-time electricity price data is in the peak-time electricity price interval, control the energy storage system to switch to the energy storage power supply mode. In the energy storage power supply mode, the energy management controller disconnects the computer device cluster from the grid access unit and controls the energy storage system to supply power to the computer device cluster with a dynamically adjustable power;

[0055] Step S106: When the load rate data of the regional power grid is lower than the preset valley threshold and the real-time electricity price data is in the valley-time electricity price interval, control the energy storage system to switch to the mains power supply mode. In the mains power supply mode, the energy management controller turns off the power supply output of the energy storage system and switches the power supply of the computer device cluster to the grid access unit, so as to supply power to the computer device cluster through the power grid.

[0056] The computer time-sharing power supply control method provided in this embodiment is based on the power grid and the energy storage system. By intelligently scheduling the power supply source of the computer device, when the electricity price is at a peak (i.e., the power grid load is high and the electricity price is expensive), the system automatically switches to the energy storage power supply mode and uses the energy storage battery charged at a low price before to supply power, avoiding high electricity costs of the mains power. When the electricity price is at a trough, the system automatically switches to the mains power supply mode, directly uses the low-price power grid power supply, and shuts down the energy storage power supply, thereby reducing unnecessary losses of the energy storage battery. It can be understood that when the power grid load is at a peak, the system avoids drawing power from the power grid, relieves the power grid pressure, and helps prevent voltage fluctuations or power rationing measures caused by power grid overload. When the power grid load is at a trough, the system increases the use of mains power, improving the overall power consumption efficiency of the power grid.

[0057] By dynamically controlling the energy storage system, that is, controlling the discharge of the energy storage battery with dynamically adjustable power, it is ensured that the computer device cluster always obtains stable and sufficient power supply, avoiding affecting the operation efficiency of the computer device due to voltage fluctuations or insufficient power.

[0058] Among them, in some embodiments, the computer device cluster is a computer system composed of multiple computer devices, and the multiple computer devices work together to complete common complex computing tasks. These complex computing tasks can include, for example, deep learning model training tasks, distributed computing tasks, privacy computing tasks, big data computing tasks, blockchain computing tasks, etc., which are computing tasks that require rich computing power resources to complete.

[0059] In some embodiments, the energy storage system can be a household solar energy storage system. This household solar energy storage system is deployed in a user's home, can generate electricity through photovoltaic panels and store the electricity in the battery of the energy storage system, and can supply power to the electrical equipment in the user's home when the user's home needs electricity.

[0060] By obtaining the real-time electricity price data of the power grid and the load rate data of the regional power grid, the system can comprehensively judge whether the current electricity price is in the peak interval or the trough interval, and decide whether to use mains power or energy storage power supply. By obtaining the load rate data of the regional power grid, the system can judge whether the power grid is currently in a high-load state, so as to decide whether to switch the power supply mode.

[0061] Specifically, when it is determined that the grid load rate exceeds the preset peak threshold, it can be determined that the current grid load is too high and has entered the peak period. Then, by combining the electricity price information, that is, when the real-time electricity price data is in the peak-time electricity price range, it is necessary to switch to energy storage power supply to avoid the computer equipment using expensive mains electricity during the peak period, while reducing the grid pressure and avoiding overloading operation. Among them, during the peak period, switch to the energy storage power supply mode and disconnect the computer equipment from the grid to prevent the high electricity price during the peak period from affecting the operation cost. During this stage, the energy storage battery can supply power to the computer equipment with a dynamically adjustable power to match the power demand of the computer equipment to ensure the normal use of the computer equipment. It can be understood that through the above solution, the use of mains electricity at the highest electricity price is avoided, unnecessary high electricity bills are reduced, and at the same time, the electricity demand during the peak period is reduced, helping the grid to maintain stable operation and avoiding the impact of grid fluctuations on the operation of computer equipment.

[0062] In addition, by judging whether the grid load rate is lower than the preset valley threshold and the real-time electricity price data is in the valley-time electricity price range, it is identified that the grid has entered the low-load state and the electricity price has entered the low valley range, and it is judged whether there is an opportunity to use cheap mains electricity, allowing the computer equipment to use mains electricity supply during the period when the electricity bill is the cheapest, reducing the discharge demand of the energy storage battery, and extending the battery life. Among them, by switching to the mains electricity supply mode during the valley period and using mains electricity during the low electricity price period, the high-price electricity expenditure is reduced. The discharge of the energy storage battery is turned off to reduce unnecessary battery loss, and the computer equipment can be reconnected to the mains electricity and directly use low-price electricity to operate.

[0063] Generally speaking, through the intelligent computer time-sharing power supply control, combined with the real-time grid data and the energy storage system, by using the strategy of using the energy storage battery during the peak period and mains electricity during the valley period, the electricity cost is minimized, and by reducing the use of mains electricity during the peak period and increasing the use of mains electricity during the valley period, it helps the grid to maintain load balance and reduce the overload risk.

[0064] It can be understood that the use of dynamically adjustable power to control the energy storage power supply can avoid the impact of power supply fluctuations on the computing power stability of computer equipment. Through reasonable charge and discharge management, the over-discharge of the battery is reduced, and the return on investment of the energy storage equipment is improved.

[0065] It should be noted that since the computer device cluster may experience abnormal power supply during the operation of complex computing tasks. For example, when the computer device cluster is powered by an energy storage system, if the energy storage system runs out of power, the computer device cluster will shut down, or the computer device cluster is directly shut down by power-off. At this time, there is a high possibility that the complex computing tasks being run by the computer device cluster will be interrupted or other abnormal situations will occur. In this embodiment, before the energy storage system runs out of power, it can be used to send a shutdown command or a standby command to the computer device cluster, so that the computer device cluster can shut down normally, stop the running complex computing tasks and save the intermediate results of the computing tasks. In this way, when the power supply to the computer device cluster is restored, the computing task can continue to run from the stopped node.

[0066] In summary, this solution provides a low-cost, high-efficiency, and intelligent power supply optimization solution for a computer device cluster with high power consumption implemented in a home environment. It can not only reduce electricity bills, but also improve the stability of computer devices, and can actively participate in grid load regulation to promote the utilization of sustainable energy.

[0067] Optionally, as Figure 2 shown, the computer time-sharing power supply control method further includes:

[0068] Step S1082: After controlling the energy storage system to switch to the energy storage power supply mode, dynamically calculate the number of computer devices to be activated in the computer device cluster according to the difference between the maximum discharge power of the battery pack of the energy storage system and the reserved emergency power;

[0069] Step S1084: Activate the corresponding number of computer devices in the computer device cluster according to the number of computer devices to be activated.

[0070] In this embodiment, the mechanism for dynamically calculating the activation number of the computer device cluster, that is, after the energy storage system switches to the energy storage power supply mode, the system will determine how many computer devices can be supported to run according to the difference between the maximum discharge power of the energy storage battery and the reserved emergency power, and dynamically adjust the start and stop of the computer devices.

[0071] Specifically, the maximum discharge power of the battery pack of the energy storage system is the maximum power that the battery can currently provide. Reserving emergency power is the basic power to ensure that there is still a certain margin for the energy storage battery under load fluctuations or emergencies (such as computer equipment overload, battery attenuation), so as not to cause the energy storage system to shut down due to over-discharge. By taking the difference between the two, according to the available power of the energy storage (i.e., the difference between the maximum discharge power and the reserved emergency power), the number of computer devices that can operate simultaneously is dynamically calculated. And determining the operating computer devices based on the difference between the two can ensure the power supply safety of the computer devices and avoid the over-discharge of the energy storage system from affecting the battery life.

[0072] Avoid activating too many computer devices at one time, resulting in overloading of the energy storage power supply. Adjust the number of computer devices according to the available power to match the power supply and energy storage capacity.

[0073] It can be understood that the startup power of the computer device during activation is not the same as the stable power during operation. Through this solution, a certain number of computer devices can be preferentially operated under power-limited conditions. Finally, only activate the calculated number of computer devices that can be carried, ensure that the computer devices operate within a sustainable power supply range, avoid the energy storage system from shutting down due to overloading, and at the same time ensure that as many computer devices as possible continue to operate.

[0074] Through the above solution, it is possible to avoid overloading and shutting down after all are turned on, and ensure that the power supply does not exceed the energy storage capacity, reducing the frequent disconnection of computer devices due to insufficient power. In addition, this solution can intelligently adjust the operation scale of computer devices, and maintain high-efficiency operation as much as possible under limited power supply. Dynamically adapt to the energy storage system capacity. When the battery is fully charged, more computer devices can be operated; when the battery power drops, the operation of computer devices can be reduced to ensure that the battery is not over-discharged.

[0075] Optionally, as Figure 2 shown, the computer time-sharing power supply control method further includes:

[0076] Step S1102: In the energy storage power supply mode, real-time collect the state of charge data of the battery pack of the energy storage system;

[0077] Step S1104: When it is detected that the state of charge data of the battery pack of the energy storage system is lower than the safety threshold, turn off some computer devices in the computer device cluster according to the preset level gradient.

[0078] In the case of energy storage power supply, that is, when the energy storage battery powers the computer device cluster in the energy storage power supply mode, based on the original computer time-sharing power supply control method, a mechanism for real-time monitoring of the state of charge (SOC) of the energy storage system and gradient shutdown of computer devices can dynamically adjust the computer device load, avoid depletion of the energy storage battery power, thus ensuring the safe operation of the energy storage system, extending the battery life, and optimizing the computing efficiency of computer devices at the same time.

[0079] Specifically, in the energy storage power supply mode, the system collects the state of charge data (SOC) of the battery in real time. The SOC reflects the remaining battery power, ensuring that the computer devices operate within the safe power supply range and preventing sudden power outage of the computer device cluster caused by depletion of the battery power, which affects the computing efficiency.

[0080] This solution can effectively prevent the energy storage battery from being completely depleted and effectively extend the life of the energy storage battery.

[0081] By setting a safety threshold, when the battery power is lower than this threshold, the system needs to reduce the number of operating computer devices to ensure a smooth transition of power supply, prevent over-discharge of the battery, and avoid damage to the energy storage system. When reducing the number of operating computer devices, a method of gradient shutdown of computer devices is adopted instead of shutting down all computer devices at once. For example, when the battery power is slightly low (SOC is lower than the first warning threshold), some low-priority computer devices are shut down; when the battery power is low (SOC is lower than the second warning threshold), more computer devices are shut down, and only the core computer devices are kept running; when the battery power is extremely low (SOC is lower than the safety threshold): all computer devices are shut down to avoid over-discharge of the battery.

[0082] Refined management of the operating status of computer devices ensures that the energy storage power can be gradually adjusted, avoids sudden power outage, gives priority to ensuring the operation of high-efficiency computer devices, and maximizes the utilization of the remaining power of the energy storage system.

[0083] It can be understood that through real-time monitoring of the state of charge data and the stepped computer device shutdown mechanism, the energy storage system can manage the power supply of the computer device cluster more intelligently. During the operation of computer devices, the load is dynamically adjusted to avoid over-discharge of the battery, ensure the stability of operation, and extend the life of the energy storage battery. Ultimately, the stability of operation during the operation of computer devices and the improvement of the safety of the energy storage system are achieved.

[0084] Optionally, as Figure 3 shown, the computer time-sharing power supply control method further includes: Step S1122: After controlling the energy storage system to switch to the mains power supply mode, calculate the change rate of the grid load rate of the regional power grid according to the real-time collected load rate data of the regional power grid; Step S1124: Based on the change rate of the grid load rate, dynamically limit the power growth rate of the computer device cluster.

[0085] In this embodiment, a control mechanism that dynamically limits the power growth rate of a computer device cluster based on the grid load rate change rate (dL / dt) can prevent a surge in computer device load from impacting the grid, thereby improving the stability of computer device operation and reducing the risk of grid overload.

[0086] Specifically, in the mains power supply mode, the system collects the load rate data (L) of the power grid in real time.

[0087] The rate of change of the grid load factor is dL / dt = (L 当前 -L 前一时刻 ) / △t, this rate indicates the trend of grid load change, that is, how fast the grid load increases.

[0088] If dL / dt is too fast (grid load increases rapidly), a large number of computer equipment clusters will be started in a short period of time, causing the grid burden to increase. It is necessary to limit the power growth rate of computer equipment to avoid grid instability or triggering the power protection mechanism.

[0089] If dL / dt is moderate or low (grid load changes smoothly), computer equipment is allowed to continue to gradually increase power, improve computing efficiency, and maximize computing stability during operation.

[0090] It should also be emphasized that after calculating the grid load rate change rate, this solution also dynamically limits the power increase rate (dP / dt) of the computer equipment cluster by combining the grid load rate change rate. When the grid load rate change rate is too high, the startup rate of the computer equipment is limited to avoid a sudden increase in the grid load. When the grid load rate change rate is moderate, the computer equipment is allowed to gradually increase the power load at a set growth rate. When the grid load rate change rate is too low or negative (load decrease), the computer equipment can resume operation appropriately and quickly to make full use of the valley electricity price.

[0091] Specifically, computer equipment is enabled gradually to increase the power of computer equipment in batches. The computing power of computer equipment can be adjusted by dynamically reducing the frequency or limiting the power consumption rate. The workload can be adjusted to adapt to changes in the grid load, thereby intelligently adjusting the working mode of computer equipment.

[0092] In general, this solution monitors the rate of change of grid load in real time, dynamically limits the power growth rate of computer equipment, ensures that the computer equipment cluster does not cause a surge in grid load when connected to the mains, and gradually restores or increases computing power without affecting grid stability, thereby improving the utilization rate of power resources.

[0093] Alternatively, if Figure 3 As shown, the computer time-sharing power supply control method also includes:

[0094] Step S114: In the mains power supply mode, when it is detected that the load rate data of the regional power grid suddenly rises, some computer devices in the computer device cluster are turned off according to a preset hierarchical gradient.

[0095] In the mains power supply mode, a control strategy is added to turn off some computer devices according to a preset hierarchical gradient when the load rate of the regional power grid suddenly rises. This can reduce the impact of computer devices on the power grid, prevent the power grid from becoming unstable or experiencing power rationing due to sudden excessive load, improve the stability of computer device operation, and ensure power grid safety at the same time.

[0096] Specifically, in the mains power supply mode, the system collects the power grid load rate data in real time, determines the corresponding change rate based on the power grid load rate data. When the load rate data of the regional power grid suddenly rises, that is, there is a significant increase in a short period of time (such as a sudden increase in industrial and commercial loads or a sudden power consumption peak), the system gradually turns off some computer devices according to the preset hierarchical strategy. For example: in the first level (mild overload), 10%-20% of the low-priority computer devices are turned off; in the second level (moderate overload), 30%-50% of the medium-priority computer devices are turned off; in the third level (severe overload), more than 80% of the computer devices are turned off, and only the core devices are kept running.

[0097] It can be understood that by preferentially turning off computer devices with larger power, the impact on computing power is avoided, the burden on the power grid is reduced, the power consumption of computer devices is dynamically adjusted. Without affecting the stability of the power grid, the continuous operation of computer devices is guaranteed to the greatest extent, the damage of computer devices caused by sudden power outages is reduced, the device life is extended, and the maintenance cost is reduced.

[0098] Generally speaking, through monitoring the sudden changes in the power grid load, computer devices can respond in advance, prevent the impact on computing stability due to power grid fluctuations, and avoid the impact of computer device operation on the power stability of other users. Especially in the case of a tight power grid load, it helps to maintain the overall power supply safety.

[0099] Furthermore, the computer time-sharing power supply control method further includes: in the mains power supply mode, obtaining the power grid dispatching instruction of the regional power grid; when the power grid dispatching instruction includes a load regulation requirement, automatically reducing the total power consumption of the computer device cluster to below the power grid specified threshold.

[0100] In the mains power supply mode, the system receives the grid dispatching instructions from the regional power grid. When the instructions contain load regulation requirements, the system automatically reduces the total power consumption of the computer equipment cluster to ensure that the overall power consumption is lower than the threshold specified by the grid, that is, below the grid-specified threshold. Specifically, by connecting with the grid operator or the power dispatching system, the grid dispatching instructions are obtained in real time. When the grid load approaches the critical point, the grid dispatching center may issue a load regulation order, requiring some large power consumers to reduce power consumption to prevent the grid from overloading, ensure that the computer equipment operates in line with the grid requirements, reduce the risk of violations, and avoid the grid company taking mandatory power curtailment measures. In addition, it also improves the grid adaptability of the computer equipment, enables it to participate in grid dispatching, and may obtain incentive policies (such as peak shaving and valley filling subsidies) provided by the power company in the future.

[0101] Then, by identifying the load regulation requirements in the grid dispatching instructions, parsing the grid dispatching instructions, judging whether they contain load regulation requirements, quickly responding to the grid requirements, avoiding the power company taking more stringent restriction measures (such as direct power off), improving the flexibility of computer equipment power dispatching, and enhancing the market value of computer equipment as an adjustable load resource.

[0102] Furthermore, the load regulation requirements include but are not limited to the following: maximum available power limit (such as: requiring the total power consumption of computer equipment to be lower than 5MW); specific percentage reduction required (such as: requiring a 30% reduction in the current load); time limit (such as: the load regulation requirement lasts for 2 hours).

[0103] By automatically reducing the total power consumption of the computer equipment cluster, a power consumption adjustment plan for the computer equipment is dynamically calculated. First, the total current power of the computer equipment is calculated, and the target power to be adjusted is calculated. The target power is the smaller of the total current power of the computer equipment and the grid threshold power. According to the target power, the number of computer equipment to be shut down is calculated, generally by taking the difference between the total current power of the computer equipment and the target power, and then dividing by the operating power of a single computer equipment.

[0104] When adjusting the total power consumption, the computer equipment can be shut down in turn according to the priority strategy (low computing power computer equipment is shut down first) to ensure that the power consumption is lower than the grid requirements, avoid exceeding the grid power consumption limit, prevent the computer equipment from being forcibly powered off, and shut down the computer equipment according to the optimal strategy to retain the computing power to the greatest extent.

[0105] Furthermore, the energy storage system further includes: a photovoltaic module, electrically connected to the battery pack. The computer time-sharing power supply control method further includes: in the case where the power generation power of the photovoltaic module is greater than or equal to the operating power consumption of the computer equipment cluster, controlling the photovoltaic module to discharge to the computer equipment cluster at a discharge power corresponding to the operating power consumption.

[0106] The energy storage system is increased with photovoltaic modules, which are electrically connected to the battery pack. When the power generation power of the photovoltaic modules ≥ the operating power consumption of the computer device cluster, the photovoltaic modules are directly controlled to supply power to the computer devices, and the power supply power matches the operating power consumption. By directly supplying power to the computer device cluster, the municipal power and the power of the energy storage battery are not consumed, and the grid load is reduced.

[0107] In addition, when the power generation power of the photovoltaic modules is less than the operating power consumption of the computer device cluster, a scheme of jointly supplying power by the photovoltaic modules and the battery pack will be used.

[0108] Furthermore, in the case where the power generation power of the photovoltaic modules is greater than or equal to the operating power consumption of the computer device cluster, the battery pack is controlled to discharge to the computer device cluster at a discharge power corresponding to the operating power consumption.

[0109] In the case where the power generation power of the photovoltaic modules ≥ the operating power consumption of the computer device cluster, not only the photovoltaic modules are controlled to supply power, but also the battery pack is controlled to discharge synchronously to supply power at a power matching the power consumption of the computer devices.

[0110] Ensure that photovoltaic power generation is prioritized for power supply to reduce energy waste. By allowing the computer devices to preferentially use photovoltaic power supply, the dependence on the grid is reduced, the overproduction of photovoltaic power generation is avoided from being wasted, and at the same time, the risk of overcharging the battery is reduced, and the power generation utilization rate of the entire system is improved.

[0111] In addition, by allowing the battery pack to participate in discharging, even if there are fluctuations in the photovoltaic power, it can ensure the continuous and stable operation of the computer devices, avoid the computer devices from frequently switching the power supply mode due to short-term fluctuations in the power generation power of the photovoltaic modules, improve the power supply continuity, on the one hand, improve the power supply stability of the computer devices, avoid the computer devices from dropping offline or losing computing power due to photovoltaic fluctuations, and on the other hand, reduce the power fluctuations among the photovoltaic - battery - computer devices, and improve the overall reliability of the system.

[0112] It can be understood that in this solution, the computer devices can be completely disconnected from the municipal power supply, and preferentially use photovoltaic and energy storage power supply. Even if the photovoltaic power is sufficient, the battery is also allowed to discharge synchronously to reduce the large discharge pressure at night.

[0113] As Figure 4 shown, an embodiment of the present application provides a computer time-sharing power supply control device 100 based on the power grid and the energy storage system. As Figure 6As shown in the figure, the energy management controller 202 applied to the energy storage system 200. The energy storage system 200 includes a battery pack 206 for supplying power to the computer device cluster 302 and a grid access unit 304. The computer time-sharing power supply control device 100 includes: a data acquisition module 102 for real-time acquiring the real-time electricity price data of the regional power grid and the load rate data of the regional power grid; a power supply adjustment module 104 for controlling the energy storage system 200 to switch to the energy storage power supply mode when the load rate data of the regional power grid exceeds a preset peak threshold and the real-time electricity price data is in the peak-time electricity price range. In the energy storage power supply mode, the energy management controller 202 disconnects the connection between the computer device cluster 302 and the grid access unit 304, and controls the energy storage system 200 to supply power to the computer device cluster 302 with a dynamically adjustable power; the power supply adjustment module 104 is further used for controlling the energy storage system 200 to switch to the mains power supply mode when the load rate data of the regional power grid is lower than a preset valley threshold and the real-time electricity price data is in the valley-time electricity price range. In the mains power supply mode, the energy management controller 202 turns off the power supply output of the energy storage system 200, and switches the power supply of the computer device cluster 302 to the grid access unit 304, so as to supply power to the computer device cluster 302 through the power grid.

[0114] The computer time-sharing power supply control device 100 includes a data acquisition module 102 and a power supply adjustment module 104. Through the data acquisition module 102, the real-time electricity price data of the power grid and the load rate data of the regional power grid can be acquired. Then, through the power supply adjustment module 104, it can be comprehensively judged whether the current electricity price is in the peak interval or the valley interval, and decide whether to use the mains power or the energy storage power supply. By acquiring the load rate data of the regional power grid, the system can judge whether the power grid is currently in a high-load state, so as to decide whether to switch the power supply mode.

[0115] Specifically, when it is judged that the power grid load rate exceeds the preset peak threshold, it can be determined that the current power grid load is too high and has entered the peak period. Then, by combining the electricity price information, that is, when the real-time electricity price data is in the peak-time electricity price range, it is necessary to switch to the energy storage power supply to avoid the computer equipment using expensive mains power during the peak period, and at the same time reduce the power grid pressure and avoid overloading operation. Among them, during the peak period, switch to the energy storage power supply mode and disconnect the connection between the computer equipment and the power grid to prevent the high electricity price during the peak period from affecting the operation cost. During this stage, the energy storage battery can supply power to the computer equipment with a dynamically adjustable power to match the power demand of the computer equipment to ensure the normal use of the computer equipment. It can be understood that through the above scheme, using the mains power at the highest electricity price is avoided, unnecessary high electricity bills are reduced, and at the same time, the electricity demand during the peak period is reduced, which helps the power grid maintain stable operation and avoid the power grid fluctuation affecting the operation of the computer equipment.

[0116] In addition, by determining whether the grid load rate is lower than a preset valley threshold value and the real-time electricity price data is within the valley-time electricity price range, it is identified that the grid enters a low-load state and the electricity price enters the low valley range. Then, it is judged whether there is an opportunity to use cheap mains electricity, allowing the computer device to be powered by mains electricity during the period when the electricity cost is the cheapest, reducing the discharge demand of the energy storage battery and extending the battery life. Among them, by switching to the mains power supply mode during the valley period and using mains electricity during the low electricity price period, the high-price electricity expenditure is reduced. Turning off the discharge of the energy storage battery and reducing unnecessary battery loss, the computer device can be reconnected to the mains electricity and directly operate using low-price electricity.

[0117] In some embodiments, optionally, as Figure 5 shown, the computer time-sharing power supply control device further includes: an activation module 106, configured to dynamically calculate the number of computer devices to be activated in the computer device cluster 302 according to the difference between the maximum discharge power of the battery pack 206 of the energy storage system 200 and the reserved emergency power; and activate the corresponding number of computer devices in the computer device cluster 302 according to the number of computer devices to be activated.

[0118] In some embodiments, optionally, as Figure 5 shown, the computer time-sharing power supply control device further includes: an operation restriction module 108, configured to collect the state of charge data of the battery pack 206 of the energy storage system 200 in real time in the energy storage power supply mode; and when detecting that the state of charge data of the battery pack 206 of the energy storage system 200 is lower than the safety threshold, turn off some computer devices in the computer device cluster 302 according to a preset hierarchical gradient.

[0119] Optionally, an energy management controller 202 is further provided in an embodiment of the present application, which executes any of the above computer time-sharing power supply control methods.

[0120] Through the energy management controller 202, the computer time-sharing power supply control method can be executed, which is responsible for the intelligent management of the power scheduling among the photovoltaic, energy storage battery, mains electricity and computer devices.

[0121] Since the energy management controller 202 of this solution can execute any of the above computer time-sharing power supply control methods, it has the beneficial effects of any of the above computer time-sharing power supply control methods, which will not be elaborated here.

[0122] An embodiment of the present application further provides an energy storage system 200, as Figure 6 shown, including: a photovoltaic module 204; the above-mentioned energy management controller 202, which is communicatively connected with the photovoltaic module 204; a battery pack 206, which is electrically connected with the photovoltaic module 204 and communicatively connected with the energy management controller 202.

[0123] The energy storage system 200 includes a photovoltaic module 204, a battery pack 206, and the above-mentioned energy management controller 202. The photovoltaic module 204, as a clean energy source, provides renewable electric energy under good lighting conditions, preferentially supplies power to computer devices, reduces the dependence of computer devices on the power grid and energy storage batteries, and the excess electric energy can be used to charge the battery pack 206 to improve energy utilization efficiency. The battery pack 206 is used to charge during the low-peak period of the commercial power grid and discharge during the peak period for computer devices to use. At the same time, the battery pack 206 also works in cooperation with the photovoltaic module 204 to supplement power when the photovoltaic power generation is insufficient to maintain the operation of computer devices. The battery pack 206 has the ability of dynamic power adjustment and provides different power discharges according to the requirements of computer devices to prevent battery overload.

[0124] Since the energy storage system 200 of this solution includes the above-mentioned energy management controller 202, it has the beneficial effects of the above-mentioned energy management controller 202, which will not be elaborated here.

[0125] The embodiment of the present application also provides a computer time-sharing power supply control system 300 based on the power grid and the energy storage system, as Figure 7 shown, including: the above-mentioned energy storage system 200; a computer device cluster 302, electrically connected to the battery pack 206 and / or the photovoltaic module 204 of the energy storage system 200; a power grid access unit 304, electrically connected to the computer device cluster 302; wherein, the energy management controller 202 of the energy storage system 200 is used to control at least one of the battery pack 206 of the energy storage system 200, the photovoltaic module 204 of the energy storage system 200, and the power grid access unit 304 to supply power to the computer device cluster 302.

[0126] The computer time-sharing power supply control system 300 includes an energy storage system 200, a computer device cluster 302, and a power grid access unit 304. The computer device can perform dynamic switching among the power grid, the energy storage system 200, and the photovoltaic system, so as to maximize the savings of energy costs and improve power supply stability.

[0127] Among them, the energy storage system 200 includes a photovoltaic module 204, a battery pack 206, and an energy management controller 202, which is responsible for scheduling energy supply under different electricity prices and different power grid load states. When the sun is sufficient, it preferentially uses photovoltaic power generation to supply computer devices and reduces the consumption of commercial power. When the electricity price is at a peak or the load of the power grid is large, it switches to the energy storage battery for power supply. It charges during the low-peak period of the electricity price to make preparations for the subsequent peak power supply.

[0128] The computer device includes one or more computer devices, which dynamically adjust the operating power under different energy supply states through intelligent load management, determine the number of computer devices to be turned on / off according to the power supply situation, optimize energy consumption, and preferentially ensure the operation of high-performance computer devices and reduce the load of low-computing-power computer devices when the energy storage power is insufficient.

[0129] The grid access unit 304 is responsible for managing the connection between the computer device and the mains power supply, realizing energy switching driven by dynamic electricity prices, using the mains power supply during low-price periods, and switching to the photovoltaic or energy storage system 200 during high-price periods. When the grid load is too high, it reduces the use of the mains power supply to avoid affecting the stability of the grid.

[0130] Since the computer time-sharing power supply control system 300 of this solution includes the above-mentioned energy storage system 200, it has the beneficial effects of the above-mentioned energy storage system 200, which will not be elaborated here.

[0131] The methods can be implemented in various different ways according to specific features and / or example applications. For example, these methods can be implemented through a combination of hardware, firmware, and / or software. For example, in a hardware implementation, the processor can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, electronic devices, other device units for performing the above functions, and / or combinations thereof.

[0132] A computer-readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. A computer-readable storage medium can be an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above devices, but is not limited thereto. A non-exhaustive list of more specific examples of computer-readable storage media includes: portable computer floppy disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital versatile discs (DVDs), memory cards, floppy disks, encoding mechanical devices (such as punched cards or grooves with raised structures recording instructions), and any suitable combination of the above devices. The computer-readable storage medium used herein should not be construed as a signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagated through waveguides or other transmission media, or electrical signals transmitted through wires.

[0133] Among them, the processor is the processor in the electronic device in the above embodiment. The readable storage medium includes computer-readable storage media, such as read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs, etc.

[0134] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned order combination method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0135] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0136] The present application provides a specific embodiment, a household energy storage system for powering a computer device system based on a peak load shaving and valley filling + uninterrupted power supply strategy, wherein the energy storage battery is used to power the computer device system during the peak period of power grid power consumption (high electricity price), and the mains power is used to power the computer device system during the valley period of power grid power consumption (low electricity price). The energy storage battery EMS module can be connected to the Internet to obtain the load status of the local power grid.

[0137] Specifically, the energy storage system of the present application includes: photovoltaic panels or curved photovoltaic tiles, energy storage batteries, and the electrical connection relationship between each module is shown in FIG. Figure 7 shown.

[0138] Photovoltaic panels or curved photovoltaic tiles are used for solar power generation. The electricity generated by photovoltaic power generation usually has three destinations. The first is to be stored in energy storage batteries. The second is not to be stored in energy storage batteries, but to directly power computer equipment or household power loads after converting direct current into alternating current through an inverter. The third is to transmit the electricity generated by photovoltaics (which needs to be converted into alternating current) to the power grid (selling electricity to the power grid).

[0139] The core function of energy storage batteries is to store electricity. Since the strength of photovoltaic power generation depends on the strength of solar energy, power generation is unstable, while household power loads or computer equipment require a stable power supply. Therefore, energy storage batteries can play a good role as a stable power supply regulating medium between photovoltaic power generation and household power consumption. When photovoltaic power generation is insufficient, the power in the energy storage battery can be used to supplement the power of household power loads or computer equipment. Here, the energy storage battery also includes a bidirectional inverter, which can convert DC power into AC power, and can also convert AC power into DC power. For example, the DC power in the energy storage battery can be converted into AC power to power household power loads or computer equipment, wherein the energy storage battery and the bidirectional inverter can be integrated or split.

[0140] The power supply strategy of the computer device system based on the peak shaving and valley filling + uninterruptible power supply strategy is as follows: The energy storage battery has an EMS module (Energy Manager System), and can obtain the load information of the power grid from the grid connection interface of the power grid, or other possible ways or the load information of the power grid. This load information includes peak electricity consumption periods, off-peak electricity consumption periods, etc. In some countries or regions, usually the electricity price is relatively high during peak electricity consumption periods, and relatively low during off-peak electricity consumption periods.

[0141] Therefore, when the EMS module detects that the current power grid is in an off-peak electricity consumption period, it controls the energy storage battery to switch to the mains power to supply power to the computer device system, and also charges the energy storage battery through the mains power (in case of the next peak electricity consumption period of the power grid, the energy storage battery is used to supply power to the computer device). At this time, it can help the power grid consume some electricity to avoid waste of this electricity in the power grid. For users, the electricity price is relatively cheap at this time, which is beneficial to reducing the operating cost of the computer device cluster. When the EMS module detects that the current power grid is in a peak electricity consumption period, it controls the energy storage battery to supply the electricity stored in the battery to the computer device. At this time, it can reduce the power supply pressure on the power grid caused by the operation of the computer device, and at the same time avoid the increase in the operating cost of the computer device cluster due to users using high-price electricity during the peak period for computing.

[0142] In this way, it can not only provide electrical energy with relatively low electricity costs for the computer device system uninterruptedly, but also optimize the power resource allocation of the power grid, improve the power grid operation efficiency and power supply quality, reduce energy costs and equipment losses, and also promote the consumption of renewable energy and reduce carbon emissions.

[0143] It can reduce the pressure of the computer device operation on the local power grid, optimize the power resource allocation of the power grid, improve the power grid operation efficiency and power supply quality; on the basis of photovoltaic power generation, combined with the peak shaving and valley filling strategy, further reduce the power cost of the computer device operation.

[0144] It should be noted that in this text, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising such element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0145] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described example methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0146] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Those of ordinary skill in the art, under the inspiration of the present application and without departing from the spirit of the present application and the scope protected by the claims, can also make many forms, all of which fall within the protection scope of the present application.

Claims

1. A computer time-sharing power supply control method based on a power grid and an energy storage system, characterized in that An energy management controller applied to an energy storage system, the energy storage system including a battery pack for powering a computer device cluster and a grid access unit, the computer time-sharing power supply control method comprising: Obtaining real-time electricity price data of the regional power grid and load rate data of the regional power grid in real time; When the load rate data of the regional power grid exceeds a preset peak threshold and the real-time electricity price data is within the peak-time electricity price range, controlling the energy storage system to switch to the energy storage power supply mode. In the energy storage power supply mode, the energy management controller disconnects the computer device cluster from the grid access unit and controls the energy storage system to supply power to the computer device cluster with a dynamically adjustable power; When the load rate data of the regional power grid is lower than a preset valley threshold and the real-time electricity price data is within the valley-time electricity price range, controlling the energy storage system to switch to the mains power supply mode. In the mains power supply mode, the energy management controller turns off the power supply output of the energy storage system and switches the power supply of the computer device cluster to the grid access unit to supply power to the computer device cluster through the power grid; 2. The computer time-sharing power supply control method according to claim 1, wherein After controlling the energy storage system to switch to the energy storage power supply mode, the method further comprises: Dynamically calculating the number of computer devices to be activated in the computer device cluster according to the difference between the maximum discharge power of the battery pack of the energy storage system and the reserved emergency power; Activating the corresponding number of computer devices in the computer device cluster according to the number of computer devices to be activated; 3. The computer time-sharing power supply control method according to claim 1, characterized in that, The method further comprises: During the energy storage power supply mode, collecting the state of charge data of the battery pack of the energy storage system in real time; When it is detected that the state of charge data of the battery pack of the energy storage system is lower than the safety threshold, turning off some of the computer devices in the computer device cluster according to a preset level gradient; 4. The computer time-sharing power supply control method according to claim 1, wherein After controlling the energy storage system to switch to the mains power supply mode, the method further comprises: Calculating the grid load rate change rate of the regional power grid according to the load rate data of the regional power grid collected in real time; Based on the grid load rate change rate, dynamically limiting the power growth rate of the computer device cluster; 5. The computer time-sharing power supply control method according to claim 1, wherein, The method further comprises: During the mains power supply mode, when it is detected that the load rate data of the regional power grid suddenly rises, turning off some of the computer devices in the computer device cluster according to a preset level gradient; 6. The computer time-sharing power supply control method according to claim 1, characterized in that, Further comprising: During the mains power supply mode, obtaining a grid dispatching instruction of the regional power grid; When the grid dispatching instruction includes a load regulation requirement, automatically reducing the total power consumption of the computer device cluster to below a grid-specified threshold; 7. The computer time-sharing power supply control method according to claim 1, characterized in that The energy storage system further comprises: a photovoltaic module electrically connected to the battery pack, and the computer time-sharing power supply control method further comprises: When the power generation power of the photovoltaic module is greater than or equal to the operating power consumption of the computer device cluster, controlling the photovoltaic module to discharge to the computer device cluster with a discharge power corresponding to the operating power consumption; 8. A computer time-sharing power supply control device based on a power grid and an energy storage system, characterized in that, An energy management controller applied to an energy storage system, the energy storage system including a battery pack for supplying power to a computer device cluster and a grid access unit, the computer time-sharing power supply control device including: A data acquisition module for real-time acquiring real-time electricity price data of a regional power grid and load rate data of the regional power grid; A power supply adjustment module for, when the load rate data of the regional power grid exceeds a preset peak threshold and the real-time electricity price data is within a peak-time electricity price range, controlling the energy storage system to switch to an energy storage power supply mode, and in the energy storage power supply mode, the energy management controller disconnects the computer device cluster from the grid access unit and controls the energy storage system to supply power to the computer device cluster with a dynamically adjustable power; The power supply adjustment module is further for, when the load rate data of the regional power grid is lower than a preset valley threshold and the real-time electricity price data is within a valley-time electricity price range, controlling the energy storage system to switch to a mains power supply mode, and in the mains power supply mode, the energy management controller shuts down the power supply output of the energy storage system and switches the power supply of the computer device cluster to the grid access unit, thereby supplying power to the computer device cluster through the power grid.

9. The computer time-sharing power supply control device according to claim 8, characterized in that, It further includes: An activation module for dynamically calculating the number of computer devices to be activated in the computer device cluster according to the difference between the maximum dischargeable power of the battery pack of the energy storage system and the reserved emergency power; activating the corresponding number of computer devices in the computer device cluster according to the number of computer devices to be activated.

10. The computer time-sharing power supply control device according to claim 8, characterized in that, It further includes: An operation limit module for, in the energy storage power supply mode, real-time collecting the state of charge data of the battery pack of the energy storage system; When detecting that the state of charge data of the battery pack of the energy storage system is lower than a safety threshold, shutting down some computer devices in the computer device cluster according to a preset level gradient.

11. An energy management controller, characterized in that, Implement the computer time-sharing power supply control method according to any one of claims 1 to 7.

12. An energy storage system, characterized in that, It includes: Photovoltaic modules; The energy management controller according to claim 11, communicatively connected to the photovoltaic modules; A battery pack, electrically connected to the photovoltaic modules, and the battery pack is communicatively connected to the energy management controller.

13. A computer time-sharing power supply control system based on a power grid and an energy storage system, characterized in that, It includes: The energy storage system according to claim 12; A computer device cluster, electrically connected to the battery pack and / or the photovoltaic modules of the energy storage system; A grid access unit, electrically connected to the computer device cluster; Wherein, the energy management controller of the energy storage system is used to control at least one of the battery pack of the energy storage system, the photovoltaic modules of the energy storage system and the grid access unit to supply power to the computer device cluster.

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