Intelligent power grid interactive energy storage and distributed block chain computing power cabinet system

Abstract

The invention discloses an intelligent power grid interactive energy storage and distributed block chain computing power cabinet system, and the system comprises an energy storage module which stores electric energy; the computing power module is used for providing block chain computing; the computing power management module is used for managing the computing power module so as to control the operation of the computing power module; the communication module enables the interior of the system to be in communication connection with the exterior of the system; the electricity price acquisition module is used for acquiring electricity price information of a power grid in real time; the server module is used for carrying out point-to-point communication; the carbon calculation module is used for calculating the carbon emission amount; the cabinet body is used for bearing and protecting each module; the system is provided with the following three modes: a price priority mode, an equipment operation priority mode and a comprehensive mode. According to the invention, through reasonable distribution and scheduling of the computing power, efficient cooperative work of the energy storage system and the block chain computing power is realized.

Description

Technical Field

[0001] The present invention belongs to the field of power grid energy storage technology, and in particular relates to a smart grid interactive energy storage and distributed blockchain computing power cabinet system. Background Art

[0002] With the widespread adoption of new energy sources and the rapid development of blockchain technology, the integration of energy storage systems and blockchain computing power is gaining increasing attention. Energy storage systems can effectively mitigate the instability of renewable energy, while blockchain technology requires substantial computing power to support network operations. Existing technologies often deploy energy storage systems and blockchain computing equipment separately, resulting in low resource utilization and failing to fully realize the potential of their integration. Summary of the Invention

[0003] The present invention overcomes the shortcomings of the existing technology and provides a smart grid interactive energy storage and distributed blockchain computing power cabinet system, which realizes efficient collaborative work between the energy storage system and blockchain computing power by rationally allocating and scheduling computing power.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is: a smart grid interactive energy storage and distributed blockchain computing cabinet system, including

[0005] An energy storage module, wherein the energy storage module stores electrical energy;

[0006] A computing power module, which provides blockchain computing;

[0007] A computing power management module, which manages the computing power module to control the operation of the computing power module;

[0008] A communication module, which connects the internal system with the external system;

[0009] An electricity price acquisition module, which acquires power grid electricity price information in real time;

[0010] A server module, wherein the server module performs point-to-point communication;

[0011] A carbon calculation module, configured to calculate carbon emissions;

[0012] A cabinet body, which carries and protects each module;

[0013] The system has the following three modes: price priority mode, equipment operation priority mode and comprehensive mode.

[0014] In a preferred embodiment of the present invention, the system further includes an energy management module, a power distribution module, and a battery management module. The energy management module performs overall energy scheduling and management; the power distribution module performs power conversion and power distribution; the battery management module performs monitoring and management of energy storage batteries.

[0015] In a preferred embodiment of the present invention, when the system is in the price priority mode, the following steps are included:

[0016] S1. The electricity price acquisition module acquires the current grid electricity price information a in real time and transmits the information to the energy management module;

[0017] S2. The user sets an ideal electricity price threshold d on the operation interface;

[0018] S3. The energy management module compares the real-time electricity price a with the ideal electricity price d. When a < d, the communication module is in the grid-connected state, and the load and computing power module will use the power supply from the grid and new energy power generation. When a ≥ d, the communication module is in the off-grid state, and the load and computing power module will use the power supply from the energy storage module until the energy storage module is emptied.

[0019] In a preferred embodiment of the present invention, when the system is in the equipment operation priority mode, the following steps are included:

[0020] S1. Set the required input power of the computing power module as n, the input power of the load as m, the charging power of the power distribution module as u, the charging output power of the power distribution module as v, the output power of new energy power generation as p, and the output power of the grid as P;

[0021] S2. Judge whether the output power p of new energy power generation is greater than the sum of the input powers of the computing power module and the load (m + n). If p > (m + n), then the excess power is used to charge the energy storage module. Specifically, u = p - (m + n), and at this time v = 0. When the output power p of new energy power generation is sufficient to meet the electricity consumption requirements of the computing power module and the load, the remaining power will continuously charge the energy storage module until it is full. If p ≤ (m + n), then further judge whether the remaining battery power of the energy storage module is greater than 10%. If the remaining battery power > 10%, then (m + n) = (p + v), where the value range of v is (0, m + n]. If the remaining battery power ≤ 10%, then (m + n) = (P + p), and the value range of P is (0, m + n].

[0022] In a preferred embodiment of the present invention, when the system is in the comprehensive mode, the following steps are included:

[0023] S1. Set the required input power of the computing power module as n, the load input power as m, the charging power of the power distribution module as u, the output power of the power distribution module as v, the output power of new energy power generation as p, and the grid output power as P. At the same time, obtain the grid electricity price through the electricity price acquisition module and upload the electricity price information to the energy management module. The user can set an ideal electricity price d on the user interface.

[0024] S2. First, determine whether the real-time electricity price a is less than the ideal electricity price d. If a < d, then determine whether p > (m + n). If p > (m + n), then execute p = m + n + u, that is, the computing power module, the load, and the energy storage module are all powered by the output power of new energy power generation. If p ≤ (m + n), then execute P + p = m + n + u, where the value range of P is (0, m + n + u], that is, the input power of the computing power module, the load, and the energy storage module is jointly provided by the grid and the output power of new energy power generation. If a ≥ d, also determine whether p > (m + n). If p > (m + n), execute p = m + n + u. If p ≤ (m + n), then execute v + p + P = m + n, where the value range of v is (0, m + n], and the value range of P is [0, m + n], that is, the computing power module and the load are jointly provided with input power by the energy storage module, new energy power generation, and the grid.

[0025] In a preferred embodiment of the present invention, the system further includes a power supply module, a switch conversion module, and a voltage conversion module. The power supply module is used to provide a backup power supply. The switch conversion module is used to switch the power supply. The voltage conversion module is used to perform DC voltage conversion.

[0026] In a preferred embodiment of the present invention, a liquid cooling unit and liquid cooling pipes are arranged in the cabinet. The liquid cooling pipes are filled with a coolant, and the cabinet is cooled by liquid cooling through the liquid cooling unit.

[0027] In a preferred embodiment of the present invention, the liquid cooling pipes include a main water outlet pipeline, a main water return pipeline, a secondary water outlet pipeline, and a secondary water return pipeline. A three-way solenoid valve is arranged on the main water outlet pipeline to respectively deliver the coolant flowing out of the main water outlet pipeline to the energy storage module and the computing power module. The number of the secondary water return pipelines is two groups. One secondary water return pipeline corresponds to the energy storage module, and the other secondary water return pipeline corresponds to the computing power module.

[0028] In a preferred embodiment of the present invention, a check valve is arranged on the secondary water return pipeline to prevent the coolant in the main water return pipeline from flowing back to the secondary water return pipeline.

[0029] In a preferred embodiment of the present invention, the computing power module uses a wind or photovoltaic power generation system, and is powered by the grid or an energy storage module; the energy storage module includes an AC side and a DC side, which converts the AC power generated by the wind into DC power to charge the energy storage module, or converts the DC power generated by the photovoltaic power generation system to charge the energy storage module.

[0030] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0031] 1. This invention achieves efficient collaboration between the energy storage system and blockchain computing power by rationally allocating and scheduling computing power. It can intelligently manage charging and discharging based on grid prices and renewable energy generation conditions, reducing users' electricity bills. Users can also choose the operating mode based on their actual needs, improving system flexibility and user experience.

[0032] 2. The smart grid interaction function of the present invention helps to improve the utilization rate of new energy and the stability of the power grid. By prioritizing blockchain computing power or user electricity consumption, the system can meet the application needs of different scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments;

[0034] Figure 1 Schematic diagram of the overall structure of a preferred embodiment of the present invention;

[0035] Figure 2 This is a schematic structural diagram of a liquid cooling pipeline in a preferred embodiment of the present invention;

[0036] Figure 3 This is a flow chart of a preferred embodiment of the present invention in a price priority mode;

[0037] Figure 4 This is a flow chart of a preferred embodiment of the present invention in a device operation priority mode;

[0038] Figure 5 is a flow chart of a preferred embodiment of the present invention in integrated mode;

[0039] In the figure: 10, energy storage module; 20, computing power module; 30, computing power management module; 40, communication module; 50, electricity price acquisition module; 60, server module; 70, carbon calculation module; 80, energy management module; 90, power distribution module; 100, battery management module; 110, liquid cooling unit; 120, liquid cooling pipeline; 121, water outlet main line; 122, return water main line; 123, water outlet secondary line; 124, return water secondary line; 130, three-way solenoid valve; 140, one-way valve; 150, cabinet. DETAILED DESCRIPTION

[0040] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0041] This embodiment provides a smart grid interactive energy storage and distributed blockchain computing power cabinet system. This computing power cabinet system realizes efficient collaboration between the energy storage system and blockchain computing power by rationally allocating and scheduling computing power. It can intelligently manage charging and discharging according to grid prices and renewable energy power generation conditions, reducing users' electricity bills. Users can also select operating modes based on actual needs, improving system flexibility and user experience.

[0042] Combine Figures 1 to 5 As shown, the smart grid interactive energy storage and distributed blockchain computing power cabinet system of this embodiment includes an energy storage module 10, which stores electrical energy; a computing power module 20, which provides blockchain computing; a computing power management module 30, which manages the computing power module 20 to control the operation of the computing power module 20; a communication module 40, which connects the internal and external communications of the system; an electricity price acquisition module 50, which obtains grid electricity price information in real time; a server module 60, which performs point-to-point communication; a carbon calculation module 70, which is used to calculate carbon emissions; a cabinet 150, which carries and protects each module; an energy management module 80, which performs overall energy scheduling and management; a power distribution module 90, which performs power conversion and power distribution; and a battery management module 100, which monitors and manages energy storage batteries.

[0043] In this embodiment, the system further includes a power module, a switch conversion module and a voltage conversion module. The power module is used to provide a backup power supply, the switch conversion module is used to switch the power supply, and the voltage conversion module is used to perform DC voltage conversion. A liquid cooling unit 110 and a liquid cooling pipe 120 are provided in the cabinet 150. The liquid cooling pipe 120 is passed through the coolant, and the cabinet 150 is liquid-cooled and dissipated through the liquid cooling unit 110. The liquid cooling pipe 120 includes a water outlet main line 121, a return water main line 122, a water outlet secondary line 123 and a return water secondary line 124. A three-way solenoid valve 130 is provided on the water outlet main line 121 to transport the coolant flowing out of the water outlet main line 121 to the energy storage module 10 and the computing power module 20 respectively. The number of the return water secondary line 124 is two groups, one return water secondary line 124. Corresponding to the energy storage module 10, another return water secondary pipeline 124 corresponds to the computing power module 20. A one-way valve 140 is provided on the return water secondary pipeline 124 to prevent the coolant in the return water main pipeline 122 from flowing back into the return water secondary pipeline 124. Based on the temperature and input status of the computing power module 20 and the energy storage module 10, this system circulates the coolant: when the battery temperature is greater than 28°C and the computing power module 20 temperature is less than 60°C, the liquid cooler only provides cooling for the battery; when the battery temperature is greater than 28°C and the computing power module 20 temperature is greater than 60°C, the liquid cooler provides cooling for both the battery and the computing power module 20; when the battery temperature is less than 28°C and the computing power module 20 temperature is greater than 60°C, the liquid cooler only provides cooling for the computing power module 20; when the battery temperature is less than 28°C and the computing power module 20 temperature is less than 60°C, the liquid cooler is in standby mode.

[0044] Furthermore, the computing power module 20 and the energy storage module 10 of this embodiment both adopt the CAN communication protocol and are connected to the battery management module 100 through a communication harness and a plug. The battery management module 100 is connected to the energy management module 80 through a communication harness to realize information interaction. The energy management module 80 transmits information to the user interface through the Internet, and the user can issue instructions to the system based on the uploaded information.

[0045] In this embodiment, the computing power module 20 uses a wind power or photovoltaic power generation system, and is powered by the grid or the energy storage module 10; the energy storage module 10 includes an AC side and a DC side. The AC power generated by the wind is converted into DC power through the power distribution module 90 to charge the energy storage module 10, and the DC power generated by the photovoltaic power generation system is converted into DC power through the voltage conversion module to charge the energy storage module 10.

[0046] In this embodiment, the carbon calculation module 70 plays a major role in accurately quantifying carbon emissions during system operation in the smart grid interactive energy storage and distributed blockchain computing power cabinet system. It can perform detailed calculations of the carbon emissions generated by the system in various links, including power acquisition (including grid power supply and new energy power generation), energy storage process (charging and discharging), and computing power operation (involving various computing tasks that consume electricity).

[0047] For the power grid: the carbon emission factor is calculated as follows:

[0048]

[0049] For each power generation energy source, its carbon emission factor is EF i (unit: kg / CO2), which accounts for P in the total power generation of the grid i .

[0050] The calculation formula for grid carbon emissions is:

[0051] E 电网 =EF 电网 ×A1

[0052] Where E is carbon emissions (unit: kg / CO2), A1 is the total power supply (unit: kW / h);

[0053] For renewable energy power generation: let the total carbon emissions in the raw material production stage be C1 (unit: kg / CO2), the component manufacturing stage be C2, the transportation stage be C3, the installation stage be C4, the operation stage be C5, and the recycling stage be C6. The total power generation within the renewable energy power generation system usage time T (unit: h) is E (unit: kW / h). The carbon emission factor calculation formula for the renewable energy power generation system is:

[0054]

[0055] The calculation formula for new energy carbon emissions is:

[0056] E 新能源 =EF 电网 ×A2

[0057] Where E is carbon emissions (unit: kg / CO2), A2 is the total power supply of new energy (unit: kW / h);

[0058] For the charging and discharging of the energy storage module 10: Assume that the total carbon emissions during the battery manufacturing process are Cm (unit: kg / CO2), its rated capacity is Q (unit: kW / h), and its cycle life is N times. Assuming that the energy loss during each charge and discharge process is ΔE and the charging efficiency is η, the average carbon emissions over the entire life cycle of the energy storage module are calculated as follows:

[0059]

[0060] The calculation formula for carbon emissions of energy storage modules is:

[0061] E 储能 =EF 储能 ×A3

[0062] Among them, E is the carbon emission (unit: kg / CO2), and A3 is the total power supply of new energy (unit: kW / h);

[0063] For the power consumption of the computing power module: Let the operating power of the device be Pd (unit: kW), the operating time be t (unit: h), and the carbon emission factor of the computing power module be EF 算力 .

[0064] The calculation formula for the carbon emission generated by the device operation is:

[0065] E 算力 = EF 算力 × P d × t

[0066] Specifically, in this embodiment, the carbon calculation module 70 obtains the real-time grid electricity price information according to the electricity price acquisition module 50, and can calculate the carbon emission cost in real time. At the same time, by combining with the energy management module 80 to obtain the grid power generation, new energy power generation, and charge and discharge data information of the energy storage module 10, it can comprehensively calculate the carbon emission amount and the carbon emission cost, and return the calculation result data to the energy management module 80, and display it on the user interface at the same time.

[0067] Combined with Figures 3 to 5 As shown, the system of this embodiment has the following three modes: price priority mode, device operation priority mode, and comprehensive mode. The following will introduce the three modes separately.

[0068] I. When the system is in the price priority mode, the user's usage scenario includes a load and a computing power module 20, and at the same time is equipped with an energy storage cabinet, connected to the power grid and new energy power generation equipment. The electricity price acquisition module 50 works continuously, and transmits the obtained grid electricity price information to the energy management module 80. The enterprise manager sets an ideal electricity price threshold d on the user interface according to factors such as operating costs and historical electricity price data, and assumes it is set to 0.3 yuan per degree of electricity.

[0069] When the real-time electricity price a is 0.25 yuan per degree of electricity (i.e., a < d), the energy storage cabinet remains in the grid-connected state. At this time, the load (such as the server cooling system, data storage equipment, etc.) and the computing power module 20 (such as the CPU cluster, etc.) preferentially use the power supply of the power grid and new energy power generation. The power grid and new energy power generation supply power to the device together according to their respective power output situations. For example, the power grid output power is 300 kW, and the new energy power generation output power is 200 kW, jointly meeting the power consumption requirements of the device.

[0070] When the real-time electricity price (a) rises to 0.35 yuan per kilowatt-hour (a≥d), the energy storage cabinet switches to an off-grid state. The load and computing power module 20 begin to use the energy storage module 10 for power supply first. For example, the initial storage capacity of the energy storage module 10 can support a power output of 500kW. As the equipment operates, the power of the energy storage module 10 gradually decreases, and the load and computing power module 20 continue to be powered until the energy storage module 10 is discharged. In this process, the use of high-priced grid electricity is avoided as much as possible, achieving the purpose of dynamically adjusting the power supply source according to the electricity price and effectively controlling the electricity cost.

[0071] In this embodiment, each module is arranged in the cabinet 150 in the form of a plug-in box. When one of the modules needs to be replaced, it can be pulled out by simply unplugging the connecting plug between the other modules and then replaced with a new module, making the operation more convenient.

[0072] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A smart grid interactive energy storage and distributed blockchain computing cabinet system, characterized by: It includes an energy storage module (10) that stores electric energy; a computing power module (20) that provides blockchain computing; a computing power management module (30) that manages the computing power module (20) to control the operation of the computing power module (20); a communication module (40) that communicatively connects the inside of the system with the outside of the system; a power price acquisition module (50) that acquires grid power price information in real time; a server module (60) that conducts peer-to-peer communication; a carbon calculation module (70) that calculates carbon emissions; a cabinet (150) that carries and protects each module; The system has the following three modes: price priority mode, device operation priority mode, and comprehensive mode.

2. A smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 1, characterized in that: The system further includes an energy management module (80), a power distribution module (90), and a battery management module (100). The energy management module (80) conducts overall energy scheduling and management; the power distribution module (90) conducts power conversion and power distribution; the battery management module (100) conducts energy storage battery monitoring and management.

3. A smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 2, characterized in that: When the system is in the price priority mode, it includes the following steps: S1. The power price acquisition module (50) acquires the current grid power price information a in real time and transmits the information to the energy management module (80); S2. The user sets an ideal power price threshold d on the operation interface; S3. The energy management module (80) compares the real-time power price a with the ideal power price d. When a < d, the communication module (40) is in the grid-connected state, and the load and the computing power module (20) will use the power supply from the grid and new energy power generation. When a ≥ d, the communication module ().

4. A smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 2, characterized in that: When the system is in the device operation priority mode, it includes the following steps: S1. Set the required input power of the computing power module (20) as n, the input power of the load as m, the charging power of the power distribution module (90) as u, the charging output power of the power distribution module (90) as v, the output power of new energy power generation as p, and the grid output power as P; S2. Determine whether the output power p of new energy power generation is greater than the sum of the input power of the computing power module (20) and the load input power (m + n). If p > (m + n), then the excess power is used to charge the energy storage module (10). Specifically, u = p - (m + n). At this time, v = 0. When the output power p of new energy power generation is sufficient to meet the power consumption requirements of the computing power module (20) and the load, the remaining power will continuously charge the energy storage module (10) until it is full. If p ≤ (m + n), then further determine whether the remaining battery power of the energy storage module (10) is greater than 10%. If the remaining battery power > 10%, then (m + n) = (p + v), where the value range of v is (0, m + n]. If the remaining battery power ≤ 10%, then (m + n) = (P + p), and the value range of P is (0, m + n].

5. A smart grid interactive energy storage and distributed blockchain computing power cabinet system according to claim 2, characterized in that: When the system is in the comprehensive mode, it includes the following steps: S1. Set the required input power of the computing power module (20) as n, the load input power as m, the charging power of the power distribution module (90) as u, the output power of the power distribution module (90) as v, the output power p of new energy power generation, and the grid output power as P. At the same time, obtain the grid electricity price through the electricity price acquisition module (50) and upload the electricity price information to the energy management module (80). The user can set an ideal electricity price d on the user interface; S2. First, determine whether the real-time electricity price a is less than the ideal electricity price d. If a < d, then接着判断 p > (m + n). If p > (m + n), then execute p = m + n + u, that is, the computing power module (20), the load, and the energy storage module (10) are all powered by the output power of new energy power generation. If p ≤ (m + n), then execute P + p = m + n + u, where the value range of P is (0, m + n + u], that is, the input power of the computing power module (20), the load, and the energy storage module (10) is jointly provided by the grid and the output power of new energy power generation. If a ≥ d,同样判断 p > (m + n). If p > (m + n), execute p = m + n + u. If p ≤ (m + n), then execute v + p + P = m + n, where the value range of v is (0, m + n], and the value range of P is [0, m + n], that is, the computing power module (20) and the load are jointly provided with input power by the energy storage module (10), new energy power generation, and the grid.

6. The smart grid interactive energy storage and distributed blockchain computing power cabinet system according to claim 1 is characterized in that: The system further includes a power supply module, a switch conversion module, and a voltage conversion module. The power supply module is used to provide a backup power supply. The switch conversion module is used to switch the power supply. The voltage conversion module is used to perform DC voltage conversion.

7. The smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 1 is characterized in that: A liquid cooling unit (110) and liquid cooling pipes (120) are arranged in the cabinet (150). The liquid cooling pipes (120) are filled with a coolant, and the liquid cooling unit (110) is used to perform liquid cooling and heat dissipation on the inside of the cabinet (150).

8. A smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 7, characterized in that: The liquid cooling pipeline (120) comprises a water outlet main line (121), a water return main line (122), a water outlet secondary line (123) and a water return secondary line (124); a three-way solenoid valve (130) is provided on the water outlet main line (121) to transport the cooling liquid flowing out of the water outlet main line (121) to the energy storage module (10) and the computing power module (20) respectively; the water return secondary line (124) is provided in two groups, one of the water return secondary lines (124) corresponds to the energy storage module (10), and the other of the water return secondary lines (124) corresponds to the computing power module (20).

9. A smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 8, characterized in that: A one-way valve (140) is provided on the secondary return water pipeline (124) to prevent the coolant in the main return water pipeline (122) from flowing back into the secondary return water pipeline (124).

10. The smart grid interactive energy storage and distributed blockchain computing cabinet system according to claim 1 is characterized in that: The computing power module (20) uses a wind power or photovoltaic power generation system, and adopts power supply from the grid or the energy storage module (10); the energy storage module (10) includes an AC side and a DC side, and converts the AC power generated by the wind into DC power to charge the energy storage module (10), or converts the DC power generated by the photovoltaic power generation system to charge the energy storage module (10).

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