Cooperative inertia response control device and method

Abstract

The invention discloses a cooperative inertia response control device and method, and belongs to the field of inertia response control. A first end of the cooperative inertia response control device is connected with first ends of a voltage transformer and a current transformer, and a second end of the cooperative inertia response control device is connected with a second end of a data machine room; the third end of the collaborative inertia response control device is connected with the third end of the data machine room, and the fourth end of the collaborative inertia response control device is connected with the second end of the energy storage system; the collaborative inertia response control device comprises a data center measurement module, a virtual rotor control module, a load power consumption calculation scheduling module and an energy storage power scheduling module. According to the invention, the frequency change rate of the power grid can be suppressed, the steady-state frequency deviation can be recovered to an allowable range, the stability and anti-disturbance capability of the high-proportion renewable energy power grid can be enhanced, the inertia supply source of the power grid can be increased, and the optimal configuration of the power grid resources can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of inertia response control, and particularly relates to a coordinated inertia response control device and method. BACKGROUND

[0002] With the deepening of the "double carbon" strategy, the proportion of new energy power generation represented by wind power and photovoltaic power is increasing, which is accelerating the replacement of traditional synchronous generators. However, new energy units with power electronic converter interfaces cannot provide natural rotational inertia support for the power grid, resulting in a continuous decrease in the equivalent inertia time constant of the new power system, and the frequency stability problem is increasingly prominent. The lack of system inertia makes the rate of change of frequency (ROCOF) increase and the frequency extreme deviation increase when the power grid is subjected to power disturbance, which seriously threatens the safe and stable operation of the power grid. To address this challenge, the power grid side increases the rotational inertia auxiliary service market through policy guidance on the one hand, and actively promotes the virtual synchronous machine (VSG) technology on the other hand, which makes the converter simulate the external characteristics of the synchronous generator through control algorithm.

[0003] However, existing virtual synchronous machine technology relies on power generation side resources such as energy storage, photovoltaic power and wind power to simulate the operation behavior of synchronous generators by occupying valuable power generation capacity, resulting in high initial investment cost and valuable power generation capacity being consumed in regulation function, and failing to achieve optimal allocation of resources. Moreover, the regulation potential of data centers as key infrastructure for digital economy has not been fully tapped. The existing utilization mainly focuses on peak shaving services, and fails to combine them with power grid inertia support, resulting in waste of high-quality flexible resources.

[0004] Therefore, how to utilize the massive flexible load resource of data centers to enable them to provide rapid inertia support for the power grid like power generation resources has become a technical problem to be solved. SUMMARY

[0005] The present application aims to overcome the defects of the prior art and provide a coordinated inertia response control device and method to tap the rapid power regulation potential of data centers, control the coordinated action of data center computing load and energy storage system to realize the complementarity of their outputs, and simulate the rotor motion and speed regulator function of synchronous generators to provide rapid, smooth and accurate inertia response function for the power grid.

[0006] In a first aspect, the application provides a coordinated inertia response control device, a first end of the coordinated inertia response control device being connected to a first end of a voltage transformer and a current transformer, a second end of the voltage transformer and the current transformer being connected to a grid point bus, a third end of the voltage transformer and the current transformer being connected to a first end of a data center room and a first end of an energy storage system, a second end of the coordinated inertia response control device being connected to a second end of the data center room, a third end of the coordinated inertia response control device being connected to a third end of the data center room, and a fourth end of the coordinated inertia response control device being connected to a second end of the energy storage system. The coordinated inertia response control device comprises a data center measurement module, a virtual rotor control module, a computing load power consumption scheduling module, and an energy storage power scheduling module. A first end of the data center measurement module is connected to the first end of the voltage transformer and the current transformer. A second end of the data center measurement module is connected to the second end of the data center room. A third end of the data center measurement module is connected to a first end of the virtual rotor control module and a first end of the energy storage power scheduling module. A fourth end of the data center measurement module is connected to a second end of the energy storage power scheduling module. A second end of the virtual rotor control module is connected to a first end of the computing load power consumption scheduling module. A second end of the computing load power consumption scheduling module is connected to the third end of the data center room. A third end of the energy storage power scheduling module is connected to a second end of the virtual rotor control module. A fourth end of the energy storage power scheduling module is connected to a second end of the virtual rotor control module. A fifth end of the energy storage power scheduling module is connected to the second end of the energy storage system.

[0007] Optionally, the data center measurement module comprises a data center and supporting energy storage grid point measurement unit and a data center access end measurement unit. The data center and supporting energy storage grid point measurement unit and the data center access end measurement unit are arranged in parallel and are respectively used to measure the frequency change rate of the grid point bus and the power change amount of the data center room.

[0008] Optionally, the transfer function of the virtual rotor control module is and is expressed as: wherein, is the frequency change rate of the grid point bus, is the compensation power, is the virtual inertia time constant of the virtual synchronous machine, is the rated frequency of the virtual synchronous machine, is the damping coefficient of the virtual synchronous machine, is the Laplace operator.

[0009] Optionally, the computing load power consumption scheduling module includes a computing load power consumption mapping model and a computing load scheduling model. The first end of the computing load power consumption mapping model is connected to the second end of the virtual rotor control module, the second end of the computing load power consumption mapping model is connected to the first end of the computing load scheduling model, and the second end of the computing load scheduling model is connected to the third end of the data center.

[0010] Optionally, the energy storage power scheduling module includes an energy storage primary frequency regulation unit, an energy storage auxiliary compensation unit, and a fusion unit. The first end of the energy storage primary frequency regulation unit is connected to the second end of the measurement unit at the data center and the supporting energy storage grid connection point. The second end of the energy storage primary frequency regulation unit is connected to the first end of the fusion unit. The first end of the energy storage auxiliary compensation unit is connected to the second end of the virtual rotor control module. The second end of the energy storage auxiliary compensation unit is connected to the second end of the virtual rotor control module. The third end of the energy storage auxiliary compensation unit is connected to the second end of the data center access end measurement unit. The fourth end of the energy storage auxiliary compensation unit is connected to the second end of the fusion unit. The third end of the fusion unit is connected to the second end of the energy storage system.

[0011] Optionally, the transfer function of the energy storage primary frequency regulation unit for: in, This represents the primary frequency modulation coefficient. For the Laplace operator.

[0012] Secondly, this application also provides a cooperative inertia response control method, applied to the cooperative inertia response control device described in any one of the first aspects, comprising the following steps: The measurement unit at the data center and its supporting energy storage grid connection point measures the grid connection point bus to obtain the frequency change rate of the grid connection point bus; The data center access measurement unit measures the power change at the data center access point to obtain the power change of the data center. The virtual rotor control module receives the frequency change rate of the grid connection point bus, simulates the rotor motion equation, and obtains the virtual synchronous motor compensation power required when the grid connection point bus is disturbed through a virtual inertial power compensation control strategy. The energy storage power scheduling module performs energy storage auxiliary power compensation and primary frequency regulation power compensation based on the frequency change rate of the grid connection point bus and the power change of the data center, and obtains the energy storage converter scheduling command. The computing load power consumption scheduling module performs task scheduling according to the compensation power required when the point of common coupling bus is disturbed, obtains data center scheduling instructions, and adjusts the data center and the energy storage system according to the energy storage converter scheduling instructions and the data center scheduling instructions, to complete the collaborative inertia response.

[0013] Optionally, the virtual rotor control module receives the frequency change rate of the point of common coupling bus, simulates the rotor motion equation, and obtains the virtual synchronous generator compensation power required when the point of common coupling bus is disturbed through a virtual inertia power compensation control strategy, including: determining the rotor motion equation of the virtual synchronous generator; based on the rotor motion equation of the virtual synchronous generator, obtaining the power shortage per unit of the virtual synchronous generator through the relationship between frequency and angular frequency and the relationship between virtual rotational inertia and virtual inertia time constant; obtaining the virtual synchronous generator compensation power required when the point of common coupling bus is disturbed through Laplace transform.

[0014] Optionally, the computing load power consumption scheduling module performs task scheduling according to the compensation power required when the point of common coupling bus is disturbed, obtains data center scheduling instructions, and adjusts the data center and the energy storage system according to the energy storage converter scheduling instructions and the data center scheduling instructions, to complete the collaborative inertia response, including: The computing load power consumption mapping model in the computing load power consumption scheduling module obtains the compensation power output by the virtual rotor control module and calculates the computing power consumption of the IT equipment; The computing load scheduling model in the computing load power consumption scheduling module determines the scheduling target function and the computing task constraint by using the delay tolerance and the flexibility in time of the task, to obtain the data center scheduling instructions; adjusting the data center and the energy storage system according to the energy storage converter scheduling instructions and the data center scheduling instructions, to complete the collaborative inertia response.

[0015] Optionally, the scheduling target function is: wherein, is the delay-tolerant computing task of the i-th server at time t, is the computing task in the delay of the i-th server at time t, is the computing power consumption of the server cluster at time t-1, is the compensation power output by the virtual rotor control module, is the no-load power consumption of the i-th server, is the maximum power consumption of the i-th server, is the instant computing task of the i-th server at time t, a time deadline calculation task for the i-th server at time t, a maximum calculation task for the i-th server, I servers in the IT equipment.

[0016] The application provides a cooperative inertia response control device and method. By constructing a virtual rotor control module and a computing load power consumption scheduling module, the device can participate in frequency regulation and power regulation of a power grid, and data centers are changed from pure energy consumers to regulators supporting power grid stability, so that the potential of rapid power regulation of data centers is deeply tapped. Through cooperative control of the energy storage power scheduling module and the computing load power consumption scheduling module, the negative influence of other equipment of the data center on the load response of the data center can be overcome, the IT equipment of the data center can be controlled, and the output of the IT equipment and the energy storage system can be complemented through cooperative action, the rotor motion and governor function of a synchronous generator are simulated, and rapid, smooth and accurate inertia response function is provided for the power grid. The rate of change of the frequency of the power grid is effectively inhibited, and the steady-state frequency deviation is restored to the allowable range, the stability and anti-disturbance ability of the power grid with a high proportion of renewable energy are enhanced, the inertia supply source of the power grid is increased, and the optimal allocation of resources of the power grid is facilitated.

[0017] In order to make the above features and advantages of the application more obvious and easy to understand, the following specific examples are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments or the related art, the following will briefly introduce the drawings needed to be used in the embodiments or the related art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0019] Figure 1 The structural schematic diagram of the cooperative inertia response control device provided in an embodiment of the present application.

[0020] Figure 2 The specific structural schematic diagram of the cooperative inertia response control device provided in an embodiment of the present application.

[0021] Figure 3 The scheduling logic schematic diagram of the computing load power consumption scheduling module in the cooperative inertia response control device provided in an embodiment of the present application.

[0022] Figure 4 The flowchart of the cooperative inertia response control method provided in an embodiment of the present application.

[0023] Figure 5Flow chart of step S3 in the coordinated inertia response control method provided in an embodiment of the present application.

[0024] Figure 6 Flow chart of step S5 in the coordinated inertia response control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose and technical solutions of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the described embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without any creative effort belong to the scope of protection of the present application.

[0026] In one embodiment, referring to Figure 1 The present application provides a coordinated inertia response control device 1, a first end of the coordinated inertia response control device 1 is connected with a first end of a potential transformer (PT) and a current transformer (CT) 2, a second end of the potential transformer and the current transformer 2 is connected with a grid point bus 5, a third end of the potential transformer and the current transformer 2 is connected with a first end of a data machine room 3 and a first end of an energy storage system 4, a second end of the data machine room 3 is connected with a second end of the coordinated inertia response control device 1, a third end of the data machine room 3 is connected with a third end of the coordinated inertia response control device 1, and a second end of the energy storage system 4 is connected with a fourth end of the coordinated inertia response control device 1.

[0027] As an example, the first end and the second end of the coordinated inertia response control device 1 can be signal acquisition interfaces.

[0028] As an example, the third end and the fourth end of the coordinated inertia response control device 1 can be control instruction interfaces.

[0029] As an example, the data room 3 includes an uninterruptible power supply (UPS) 31, IT equipment 32, a data center infrastructure management (DCIM) / battery management system (BMS) system 33, a load scheduling controller 34, a first end of the uninterruptible power supply 31 is connected to a third end of the voltage transformer and current transformer 2 and a first end of the energy storage system 4, a second end of the uninterruptible power supply 31 is connected to a first end of the IT equipment 32; a first end of the DCIM / BMS system 33 is connected to a second end of the collaborative inertia response control device 1, a second end of the DCIM / BMS system 33 is connected to a second end of the IT equipment 32; a first end of the load scheduling controller 34 is connected to a third end of the collaborative inertia response control device 1, a second end of the load scheduling controller 34 is connected to a third end of the IT equipment 32.

[0030] As an example, the DCIM / BMS system 33 can include a high-frequency intelligent power measurement unit (not shown), which can be arranged at the incoming line of the data room 3.

[0031] As an example, the energy storage system 4 includes a power conversion system (PCS) 41, an energy storage element 42, a first end of the power conversion system 41 is connected to a third end of the voltage transformer and current transformer 2, a second end of the power conversion system 41 is connected to a fourth end of the collaborative inertia response control device 1, a third end of the power conversion system 41 is connected to the energy storage element 42.

[0032] As an example, the collaborative inertia response control device 1, the voltage transformer and current transformer 2, the data room 3, the energy storage system 4, and the grid-connected point bus 5 are all located within the data center.

[0033] As an example, the collaborative inertia response control device 1 is connected to the grid-connected point bus 5 through the voltage transformer and current transformer 2, and real-time acquisition of the frequency change rate of the grid-connected point bus 5 ROCOF ( s ); the collaborative inertia response control device 1 communicates with the DCIM / BMS system 33 through a field bus to obtain the power change amount ; through the network communication or hardwired connection to the load scheduling controller 34, the inertia response control device 1 completes the calculation of load scheduling calculation through the network communication or hardwired to the load scheduling controller 34 sends data room scheduling instructions, by the load scheduling controller 34 control IT equipment 32 power regulation; through the high-speed communication link and power electronic drive circuit connected to the main controller of the energy storage converter 41, to the energy storage converter 41 sends energy storage converter scheduling instructions, energy storage converter 41 according to the energy storage converter scheduling instructions control energy storage element 42 to absorb or release active power.

[0034] As an example, the energy storage converter scheduling instructions can include real-time power set value or frequency-power regulation curve instructions.

[0035] As an example, please refer to Figure 2 , the inertia response control device 1 includes, data center measurement module 11, virtual rotor control module 12, computing load power consumption scheduling module 13, energy storage power scheduling module 14, the first end of the data center measurement module 11 is connected with the first end of the voltage transformer and current transformer 2, the second end of the data center measurement module 11 is connected with the second end of the data center 3, the third end of the data center measurement module 11 is connected with the first end of the virtual rotor control module 12 and the first end of the energy storage power scheduling module 14, the fourth end of the data center measurement module 11 is connected with the second end of the energy storage power scheduling module 14; the second end of the virtual rotor control module 12 is connected with the first end of the computing load power consumption scheduling module 13, the second end of the computing load power consumption scheduling module 13 is connected with the third end of the data center 3; the third end of the energy storage power scheduling module 14 is connected with the second end of the virtual rotor control module 12, the fourth end of the energy storage power scheduling module 14 is connected with the second end of the virtual rotor control module 12, the fifth end of the energy storage power scheduling module 14 is connected with the second end of the energy storage system 4.

[0036] As an example, please continue to refer to Figure 2 , the data center measurement module 11 includes data center and supporting energy storage grid connection point measurement unit 111, data center access end measurement unit 112, data center and supporting energy storage grid connection point measurement unit 111, data center access end measurement unit 112 are arranged in parallel, respectively for measuring the frequency change rate of the grid connection point bus 5 and the power change of the data center 3.

[0037] As an example, the data center and supporting energy storage grid-connected point measurement unit 111 converts the high voltage on the grid-connected point bus 5 into a low voltage signal by connecting the voltage transformer and current transformer 2 on the grid-connected point bus 5, the secondary side output cable of the voltage transformer and current transformer 2 is connected to the first terminal of the data center and supporting energy storage grid-connected point measurement unit 111, and the data center and supporting energy storage grid-connected point measurement unit 111 discretely samples the low voltage signal at a first sampling rate to obtain a digital sampling sequence. Then, the digital sampling sequence is sent to the processor of the data center and supporting energy storage grid-connected point measurement unit 111, and the frequency change rate of the grid-connected point bus 5 is measured by zero-crossing detection method ROCOF ( k );the frequency change rate of the grid-connected point bus 5 in the time domain is subjected to Laplace transform to obtain the frequency change rate of the grid-connected point bus 5 in the s domain .

[0038] As an example, the first terminal of the data center and supporting energy storage grid-connected point measurement unit 111 can be a frequency measurement input terminal.

[0039] As an example, for frequency measurement, the first sampling rate does not need to be extremely high, but needs to meet the Nyquist sampling theorem.

[0040] As an example, the first terminal of the data center access end measurement unit 112 is connected to the high-frequency intelligent power measurement unit of the DCIM / BMS system 33, and detects the power change amount of the data center room 3 , the power change amount of the data center room 3 in the time domain is subjected to Laplace transform to obtain the power change amount of the data center room 3 in the s domain .

[0041] As an example, the first terminal of the data center access end measurement unit 112 can be a power measurement input terminal.

[0042] As an example, the virtual rotor control module 12 solves the virtual synchronous motor compensation power required to be supplied by the virtual inertia response of the grid-connected point bus 5 when the grid-connected point bus 5 is subjected to disturbance by simulating the rotor motion equation of the virtual synchronous machine (VSG) through the virtual inertia power compensation control strategy , and transmits the compensation power to the computing load power consumption scheduling module 13 and the energy storage power scheduling module 14.

[0043] Specifically, referring to Figure 2 , the virtual inertia power compensation control strategy is that the virtual rotor control module 12 receives the frequency change rate of the grid-connected point bus 5 output by the data center and supporting energy storage grid-connected point measurement unit 111 , and the virtual inertia time constant of the virtual synchronous machine Ratio of the frequency of the virtual synchronous machine to the rated frequency The first component is obtained by performing inertia compensation on the proportional link formed by the ratio of the frequency of the virtual synchronous machine to the rated frequency The second component is obtained by performing damping compensation on the accumulated frequency deviation and the damping coefficient of the virtual synchronous machine The second component is obtained by performing damping compensation on the accumulated frequency deviation and the damping coefficient of the virtual synchronous machine to suppress subsequent oscillations of the grid frequency and avoid fluctuations around the stable value, and the first component and the second component are fused to obtain the compensation power The compensation power is transmitted to the computing load power consumption scheduling module 13 and the energy storage power scheduling module 14.

[0044] As an example, the transfer function of the virtual rotor control module 12 can be represented as: wherein, is the virtual inertia time constant of the virtual synchronous machine, is the rated frequency of the virtual synchronous machine, is the damping coefficient of the virtual synchronous machine, is the Laplace operator.

[0045] As an example, please refer to Figure 2 The computing load power consumption scheduling module 13 includes a computing load power consumption mapping model 131 and a computing load scheduling model 132. The first end of the computing load power consumption mapping model 131 is connected to the second end of the virtual rotor control module 12, the second end of the computing load power consumption mapping model 131 is connected to the first end of the computing load scheduling model 132, and the second end of the computing load scheduling model 132 is connected to the third end of the data center 3.

[0046] As an example, the IT equipment is the direct executor of the computing task, and the power consumption of the IT equipment is most closely related to the load. The mapping curve of the power consumption of the IT equipment and the load can be constructed to further realize virtual inertia power compensation.

[0047] As an example, the computing load power consumption mapping model 131 is used to calculate the computing power consumption of the IT equipment, and the computing load scheduling model 132 adjusts the power consumed by the IT equipment according to the delay tolerance and time flexibility of the computing task.

[0048] Specifically, please refer to Figure 2 The computing load power consumption mapping model 131 obtains the compensation power output by the virtual rotor control module 12 to calculate the computing power consumption of the IT equipment before scheduling ​​Afterwards, the output is sent to the computing load scheduling model 132, which adjusts the computing power consumption of the IT equipment according to the delay tolerance and time flexibility of the computing task, to obtain the computing power consumption of the IT equipment , and is output to the load scheduling controller 34, which controls the IT equipment power adjustment.

[0049] As an example, the data center can be used as a rotor of a virtual synchronous machine. When the grid point bus 5 is in power shortage, the computing load can only be delayed for computing and cannot be abandoned for execution, so the data center can only delay the computing load for a certain time to realize power consumption reduction within the inertia response time, simulating the release of kinetic energy of the rotor of the synchronous machine. At the same time, this part of the delayed load will be calculated after the inertia response, simulating the absorption of kinetic energy of the rotor of the synchronous machine. Similarly, when the power grid is in power shortage, the data center can only calculate the computing load in advance within the inertia response time to realize power consumption increase, which is exactly in line with the power absorption and release law of the inertia response.

[0050] As an example, please refer to Figure 3 , Figure 3 The scheduling logic diagram of the computing load power consumption scheduling module is shown in the figure, wherein the vertical axis is the frequency of the grid point bus 5, the horizontal axis is time, the blue square below is the basic load power consumption of the data center before scheduling, the blue square in the middle is the load power consumption of the data center after scheduling, and the red dashed box represents the amplitude and timing of the load adjustment. When the grid point bus 5 is in power shortage and the frequency rapidly decreases with oscillation, the frequency change rate The data center releases the virtual rotor kinetic energy by reducing its own power consumption, which is equivalent to releasing power to the grid point bus 5 to help reduce the amplitude of the frequency decrease of the grid point bus 5; on the contrary, when the frequency of the grid point bus 5 rises, the frequency change rate indicates that the grid point bus 5 is in power redundancy, and the data center absorbs the virtual rotor kinetic energy by increasing the power consumption to suppress the excessive rise and oscillation of the frequency of the grid point bus 5, so that the frequency of the grid point bus 5 is finally stabilized near the new equilibrium value.

[0051] As an example, please refer to Figure 2, the energy storage power scheduling module 14 can include an energy storage primary frequency modulation unit 141, an energy storage auxiliary compensation unit 142, a fusion unit 143, the first end of the energy storage primary frequency modulation unit 141 is connected to the second end of the data center and the supporting energy storage grid connection point measurement unit 111, the second end of the energy storage primary frequency modulation unit 141 is connected to the first end of the fusion unit 143, the first end of the energy storage auxiliary compensation unit 142 is connected to the second end of the virtual rotor control module 12, the second end of the energy storage auxiliary compensation unit 142 is connected to the second end of the virtual rotor control module 12, the third end of the energy storage auxiliary compensation unit 142 is connected to the second end of the data center access end measurement unit 112, the fourth end of the energy storage auxiliary compensation unit 142 is connected to the second end of the fusion unit 143, and the third end of the fusion unit 143 is connected to the second end of the energy storage system 4.

[0052] As an example, the energy storage primary frequency modulation unit 141 is used to simulate the prime mover of the virtual synchronous machine, and the grid connection point bus 5 frequency is stabilized near the new balance value.

[0053] Specifically, the energy storage primary frequency modulation unit 141 obtains the frequency change rate of the grid connection point bus 5 output by the data center and the supporting energy storage grid connection point measurement unit 111 , first through the integral element Accumulate the frequency deviation, and then through the primary frequency modulation coefficient , get the primary frequency modulation power of the energy storage primary frequency modulation unit 141 .

[0054] As an example, the transfer function of the energy storage primary frequency modulation unit 141 is: Wherein, represents the primary frequency modulation coefficient, is the Laplace operator.

[0055] As an example, the energy storage auxiliary compensation unit 142 is used to build a dynamic power buffer layer, which can accurately compensate for the instruction tracking error caused by the delay of computing load scheduling. After the virtual rotor control module issues a power instruction, the energy storage auxiliary compensation unit 142 responds to all instruction powers through millisecond-level fast charging and discharging, thereby offsetting the inherent error of computing task scheduling, ensuring the immediacy and accuracy of the system's external power output; It can also effectively isolate the interference of random power fluctuations of other electrical equipment inside the data center, such as air conditioners, lighting, water pumps and other equipment, which will cause errors between the total power consumption of the data center and the power it should adjust. The energy storage auxiliary compensation unit 142 compensates for such uncontrolled power fluctuations in real time, so that the net power output of the data center strictly follows the virtual synchronous machine instruction, thereby ensuring the reliability and accuracy of the entire system participating in grid frequency modulation.

[0056] Specifically, please continue to refer to Figure 2 , the energy storage auxiliary compensation unit 142 calculates the deviation of the compensation power output by the virtual rotor control module 12 and the power change amount of the data center access end measurement unit 112 output by the data room 3 ; and the compensation power output by the virtual rotor control module 12 is input into the switch model, and the switch model output value and the compensation power output by the virtual rotor control module 12 and the power change amount of the data center access end measurement unit 112 output by the data room 3 are processed by the multiplier to obtain the compensation power of the energy storage auxiliary compensation unit 142 .

[0057] As an example, the switch model controls whether the energy storage auxiliary compensation unit 142 is started according to the value of the compensation power output by the virtual rotor control module 12 , when the compensation power output by the virtual rotor control module 12 is not equal to zero, the energy storage auxiliary compensation unit 142 is started; when the compensation power output by the virtual rotor control module 12 is equal to zero, the energy storage auxiliary compensation unit 142 is not started, which can avoid the situation that the energy storage power scheduling module is misoperated due to the power change of the data center when the system is not disturbed.

[0058] Further, the primary frequency modulation power of the energy storage primary frequency modulation unit 141 and the compensation power of the energy storage auxiliary compensation unit 142 are fused by the fusion unit 143 to obtain the compensation power of the energy storage power scheduling module 14 , which is output to the main controller of the energy storage converter 41 to send an energy storage converter scheduling instruction to the energy storage converter 41, and the energy storage converter 41 controls the energy storage element 42 to absorb or release active power according to the energy storage converter scheduling instruction.

[0059] As an example, the energy storage power scheduling module 14 has an auxiliary compensation function, specifically, the energy storage power scheduling module 14 can act as a power compensation unit, which can dynamically compensate for the data center computing load power error through millisecond-level fast charging and discharging response, and ensure the rapidity and accuracy of the overall output power of the virtual synchronous machine; the energy storage power scheduling module 14 can also act as a primary frequency modulation execution unit, which can simulate the active-frequency droop characteristic of the virtual synchronous generator through the instruction issued by the virtual rotor control module 12 to provide power support for the power grid.

[0060] In the above-mentioned cooperative inertia response control device, the frequency change rate of the grid-connected point bus 5 and the power change amount of the data center 3 are collected by the data center and supporting energy storage grid-connected point measurement unit 111 and the data center access end measurement unit 112, respectively, to provide real-time and accurate basic data for subsequent regulation and control, and avoid control errors caused by measurement errors; the virtual rotor control module 12 simulates the virtual synchronous machine rotor motion equation, combines inertia compensation and damping compensation to solve the compensation power, so that the device has the inertia response capability of the synchronous machine, and effectively suppresses the frequency oscillation after the power grid disturbance; the load power consumption scheduling module 13 adjusts the power by using the IT equipment delay tolerance, and the energy storage power scheduling module 14 is matched with the primary frequency modulation unit 141 and the energy storage auxiliary compensation unit 142, so that the load-energy storage cooperative response can be realized, the IT equipment flexibility potential can be tapped, and the power output accuracy and immediacy can be ensured by relying on the energy storage speed, thereby improving the reliability of the data center participating in the power grid inertia response, effectively suppressing the frequency oscillation of the power grid, restoring the steady-state frequency deviation to the allowable range, enhancing the stability and anti-disturbance ability of the high-proportion renewable energy power grid, and providing strong support for the power grid frequency stability.

[0061] In yet another embodiment, referring to Figure 4 The application also provides a cooperative inertia response control method, which can include the following steps: steps S1-S5.

[0062] Step S1: The data center and supporting energy storage grid-connected point measurement unit measures the grid-connected point bus to obtain the frequency change rate of the grid-connected point bus.

[0063] Step S2: The data center access end measurement unit measures the data center access end power change amount to obtain the power change amount of the data center.

[0064] Step S3: The virtual rotor control module receives the frequency change rate of the grid-connected point bus, simulates the rotor motion equation, and obtains the virtual synchronous machine compensation power required when the grid-connected point bus is disturbed by the virtual inertia power compensation control strategy.

[0065] Step S4: The energy storage power scheduling module performs energy storage auxiliary power compensation and primary frequency modulation power compensation according to the frequency change rate of the grid-connected point bus and the power change amount of the data center to obtain the energy storage converter scheduling instruction.

[0066] Step S5: The load power consumption scheduling module executes task scheduling according to the compensation power required when the grid-connected point bus is disturbed to obtain the data center scheduling instruction, adjusts the data center and the energy storage system according to the energy storage converter scheduling instruction and the data center scheduling instruction, and completes the cooperative inertia response.

[0067] In the cooperative inertial response control method of this application, the frequency change rate of the grid connection point bus and the power change of the data center are accurately obtained by the measurement units of the data center and its supporting energy storage grid connection point, as well as the measurement unit of the data center access end. This provides real-time and accurate basic data support for subsequent regulation, avoids control inaccuracies caused by measurement deviations, and ensures the initial reliability of the regulation logic. By simulating the rotor motion equation and using a virtual inertial power compensation control strategy to solve for the compensation power, the system can have an inertial response capability similar to a synchronous machine, effectively responding to grid disturbances, providing accurate target basis for subsequent power compensation, and suppressing large fluctuations in grid frequency after disturbances. The energy storage power scheduling module, combined with frequency change... By simultaneously compensating for energy storage auxiliary power and primary frequency regulation power based on the efficiency and power change, the system leverages the millisecond-level charging and discharging characteristics of energy storage to compensate for potential scheduling delays and isolate uncontrolled power fluctuations. This stabilizes the frequency within acceptable limits, enhancing the stability and anti-disturbance capabilities of high-proportion renewable energy grids and ensuring the immediacy and accuracy of power output. Furthermore, by calculating load power consumption and scheduling tasks based on the compensated power, and coordinating with energy storage converter scheduling commands, the system fully taps the elastic potential of IT equipment, transforming massive data center loads into high-quality, grid-adjustable resources. This significantly improves the overall efficiency of data centers participating in grid inertia response and effectively guarantees grid frequency stability.

[0068] In step S1, please refer to Figure 4 In step S1, the data center and its supporting energy storage grid connection point measurement unit measure the grid connection point bus to obtain the frequency change rate of the grid connection point bus.

[0069] Specifically, the voltage signal on the grid connection point bus 5 is discretized and sampled at a first sampling rate using the data center and supporting energy storage grid connection point measurement unit 111 in the data center measurement module 11 to obtain a digital sampling sequence. The digital sampling sequence is then sent to the processor of the data center and supporting energy storage grid connection point measurement unit 111, and the frequency change rate of the grid connection point bus 5 is measured using the zero-crossing detection method. ROCOF ( k ); the rate of change of frequency of bus 5 at the time-domain grid connection point. Performing a Laplace transform, we obtain the frequency change rate of bus 5 at the grid connection point in the s-domain. .

[0070] As an example, the first sampling rate must satisfy the Nyquist sampling theorem.

[0071] As an example, zero-crossing detection can detect the time interval between two consecutive zero-crossings of a low-voltage signal. A sinusoidal period has two zero-crossings, therefore the measurement time... T corresponding frequency The frequency variation rate of bus 5 at the grid connection point ROCOF It is the derivative of frequency with respect to time, i.e. In discrete systems, the rate of change of frequency of the grid-connected bus 5 can be approximated by the difference. ,in, This represents the k-th frequency measurement value. This represents the frequency measurement value at the (k+1)th time.

[0072] In step S2, please refer to Figure 4 In step S2, the data center access end measurement unit measures the power change of the data center access end to obtain the power change of the data center.

[0073] Specifically, the data center access measurement unit 112 in the data center measurement module 11 is used to measure the power change at the data center access point. Measurements were performed to obtain the power change in data center 3 in the time domain. .

[0074] As an example, you can set the measurement time. T Inside l There are 1 sampling points, with the initial sampling point being 1. l 0 The power change in data center 3 The expression is: in, Indicates the first k The power of data center 3 Indicates the first k +1 power of data center 3.

[0075] As an example, the first k Power of secondary data center 3 The expression is: in, For the first k The measurement time of each time, For the first Voltage values ​​at each sampling point For the first Current values ​​at each sampling point This is the initial sampling point.

[0076] Furthermore, the power variation of data center 3 in the time domain... Perform a Laplace transform to obtain the power change in data center 3 in the s-domain. .

[0077] In step S3, please refer to Figure 4In step S3, the virtual rotor control module receives the frequency rate of change of the grid point bus, simulates the rotor motion equation, and obtains the required compensation power of the virtual synchronous machine for the grid point bus suffering from disturbance through the virtual inertia power compensation control strategy.

[0078] As an example, refer to Figure 5 Step S3 can include the following steps: step S31 to step S33.

[0079] Step S31: Determine the rotor motion equation of the virtual synchronous machine.

[0080] Step S32: Based on the rotor motion equation of the virtual synchronous machine, the power shortage per unit of the virtual synchronous machine is obtained through the relationship between the frequency and the angular frequency and the relationship between the virtual moment of inertia and the virtual inertia time constant.

[0081] Step S33: Obtain the required compensation power of the virtual synchronous machine for the grid point bus suffering from disturbance through Laplace transform.

[0082] Specifically, in step S31, the virtual rotor control module 12 simulates the rotor motion equation of the virtual synchronous machine, which is expressed as: wherein, Pm represents the virtual mechanical power of the virtual synchronous machine, Pem represents the electromagnetic power of the virtual synchronous machine, ω represents the current angular frequency of the virtual synchronous machine, ωr represents the rated angular frequency of the virtual synchronous machine, J represents the virtual moment of inertia of the virtual synchronous machine, D represents the damping coefficient of the virtual synchronous machine.

[0083] As an example, in step S32, according to the relationship between the frequency and the angular frequency, the virtual moment of inertia J of the virtual synchronous machine and the virtual inertia time constant T of the virtual synchronous machine can be expressed as: wherein, ω represents the current angular frequency of the virtual synchronous machine, , ω represents the current frequency of the virtual synchronous machine; Pr represents the rated power generation capacity of the virtual synchronous machine.

[0084] Further, according to the relationship between the frequency and the angular frequency and the relationship between the virtual moment of inertia J and the virtual inertia time constant T , the rotor motion equation of the virtual synchronous machine can be converted to: wherein, represents a power deficiency unit of the virtual synchronous machine; represents a virtual mechanical power of the virtual synchronous machine, represents an electromagnetic power of the virtual synchronous machine; represents a rated power generation capacity of the virtual synchronous machine; represents a virtual inertia time constant of the virtual synchronous machine; represents a current frequency of the virtual synchronous machine; represents a rated frequency of the virtual synchronous machine; represents a difference between the rated frequency of the virtual synchronous machine and the current frequency of the virtual synchronous machine.

[0085] Notably, represents the rated power generation capacity of the virtual synchronous machine, and the present application is constructed by means of the data center and the supporting energy storage grid-connected point measurement unit 111, so that the rated power generation capacity of the virtual synchronous machine in the present application is the sum of the rated load capacity of the data center server cluster and the rated power generation capacity of the supporting energy storage , that is, .

[0086] Further, in step S33, the power deficiency unit of the virtual synchronous machine is subjected to Laplace transform to obtain the virtual synchronous motor compensation power required to be supplied by the inertia response of the grid-connected point bus 5 when the grid-connected point bus 5 is subjected to disturbance , and the virtual synchronous motor compensation power is transmitted to the computing load power consumption scheduling module 13 and the energy storage power scheduling module 14.

[0087] As an example, when the disturbance occurs, the power deficiency unit of the virtual synchronous machine will be compensated by the data center and the supporting energy storage grid-connected point measurement unit 111 simulating the release of rotor kinetic energy. Since the data center can actually act as a load, it can be considered here that the frequency of the data center is consistent with the trend of the frequency change of the grid-connected point bus 5, so that and are consistent in value. Therefore, when Laplace transform is performed, the can be replaced by .

[0088] As an example, the transfer function between the virtual synchronous motor compensation power and the frequency change rate of the grid-connected point bus 5 can be represented as: ​wherein, is a virtual inertia time constant of the virtual synchronous machine, is a rated frequency of the virtual synchronous machine, is a damping coefficient of the virtual synchronous machine, is a Laplace operator.

[0089] In step S4, referring to step S4 in Figure 4 , the energy storage power scheduling module performs energy storage auxiliary power compensation and primary frequency modulation power compensation according to the frequency rate of change of the grid-connected point bus and the power change amount of the data center room, to obtain an energy storage converter scheduling instruction.

[0090] Specifically, the energy storage primary frequency modulation unit 141 in the energy storage power scheduling module 14 acquires the frequency rate of change of the grid-connected point bus 5 output by the data center and supporting energy storage grid-connected point measurement unit 111 , first accumulates the frequency deviation through an integral element , and then simulates the primary frequency modulation of the virtual synchronous machine through a primary frequency modulation coefficient , to obtain the primary frequency modulation power of the energy storage primary frequency modulation unit 141.

[0091] As an example, the expression of the primary frequency modulation power of the energy storage primary frequency modulation unit 141 is: wherein, denotes the primary frequency modulation coefficient, denotes the initial time, denotes the current frequency of the virtual synchronous machine, denotes the current time.

[0092] As an example, the transfer function of the energy storage primary frequency modulation unit 141 is: wherein, denotes the primary frequency modulation power, denotes the primary frequency modulation coefficient, is a Laplace operator.

[0093] Further, the energy storage auxiliary compensation unit 142 in the energy storage power scheduling module 14 calculates the deviation between the compensation power output by the virtual rotor control module 12 and the power change amount of the data center room 3 output by the data center access end measurement unit 112 ; and inputs the compensation power output by the virtual rotor control module 12 into the switch model, and the output value of the switch model is the compensation power output by the virtual rotor control module 12 and the power variation amount of the data center 3 output by the data center access end measurement unit 112 is processed by a multiplier to obtain the compensation power of the energy storage auxiliary compensation unit 142 .

[0094] As an example, the compensation power of the energy storage auxiliary compensation unit 142 is expressed as: wherein, represents the compensation power output by the virtual rotor control module 12 at time t; represents the power variation amount of the data center 3 output by the data center access end measurement unit 112 at time t, represents the transfer function of the switching model.

[0095] As an example, the switching model takes the compensation power output by the virtual rotor control module 12 at time t as a signal, and when the compensation power output by the virtual rotor control module 12 at time t is not equal to 0, the energy storage power scheduling module 14 is started, which avoids the situation that the energy storage power scheduling module 14 is misoperated due to the power variation of the data center while the system is not disturbed, and the transfer function of the switching model is expressed as: .

[0096] Further, the primary frequency modulation power of the energy storage primary frequency modulation unit 141 and the compensation power of the energy storage auxiliary compensation unit 142 are fused by the fusion unit 143 to obtain the compensation power of the energy storage power scheduling module 14 , that is, the energy storage converter scheduling instruction, and the energy storage converter scheduling instruction is output to the main controller of the energy storage converter 41 to control the instruction of the real-time power setting value or the frequency-power regulation curve in the main controller of the energy storage converter 41, and control the energy storage converter 41 to absorb or release active power.

[0097] In step S5, referring to Figure 4 , the load power consumption scheduling module performs task scheduling according to the compensation power required when the grid-connected point bus is disturbed to obtain the data center scheduling instruction, and adjusts the data center and the energy storage system according to the energy storage converter scheduling instruction and the data center scheduling instruction, respectively, to complete the cooperative inertia response.

[0098] As an example, referring to Figure 6 , step S5 can include the following steps: steps S51-S53.

[0099] Step S51: The computing load power consumption mapping model in the computing load power consumption scheduling module obtains the compensation power output by the virtual rotor control module, and calculates the computing power consumption of the IT equipment.

[0100] Step S52: The computing load scheduling model in the computing load power consumption scheduling module determines the scheduling target function and the computing task constraint by using the delay tolerance and the time flexibility of the task, and obtains the data center scheduling instruction.

[0101] Step S53: The data center and the energy storage system are adjusted according to the energy storage converter scheduling instruction and the data center scheduling instruction, and the collaborative inertia response is completed.

[0102] Specifically, in step S51, the computing load power consumption mapping model 131 in the computing load power consumption scheduling module 13 obtains the compensation power output by the virtual rotor control module 12 , calculates the computing power consumption of the IT equipment before scheduling , and outputs to the computing load scheduling model 132.

[0103] As an example, the IT equipment can include one or more servers, which can be online servers.

[0104] As an example, a server can be modeled as a basic unit first, and then aggregated to a cabinet and a whole data center.

[0105] Specifically, since frequent start and stop of the online server will have a negative impact on the switching loss and service life of the online server, the number of servers is not considered to be adjusted, and the start and stop of the server are not considered, so that the server has only two states of idle and busy. The computing power consumption of a server at time t is related to the load rate thereof, and can be expressed as: wherein, P(t) is the computing power consumption of the server at time t; P0 is the idle power consumption of the server; Pmax is the maximum power consumption of the server; T(t) is the instant computing task of the server at time t, Tmax is the maximum computing task of the server.

[0106] Further, when aggregated to a cabinet and a whole data center, the IT equipment can include I servers, and the IT equipment can be regarded as a server cluster. The computing power consumption of the IT equipment at time t is related to the load rate thereof, and can be expressed as: wherein, P(t) is the computing power consumption of the server cluster at time t; P0(i) is the idle power consumption of the i-th server; Pmax(i) is the maximum power consumption of the i-th server; Ti(t) is the computing task of the i-th server at time t, Tmax(i) is the maximum computing task of the i-th server.

[0107] Further, in step S52, when the data center needs to adjust the power consumed by its IT equipment, the computing load scheduling model 132 in the computing load power consumption scheduling module 13 uses the delay tolerance and time flexibility of the computing task to appropriately schedule the computing task.

[0108] As an example, the computing task of the i-th server at time t can be represented as: wherein, Ti(t) is the instant computing task of the i-th server at time t, Ti(t) is the time-critical delay computing task of the i-th server at time t, Ti(t) is the delay computing task of the i-th server at time t, Ti(t) is the delay-tolerant computing task of the i-th server at time t, Tmax(i) is the maximum computing task of the i-th server.

[0109] As an example, the instant computing task refers to a workload that requires an immediate response; the delay-tolerant computing task refers to a workload that is first submitted to the task queue of the data center and can wait until the data center has sufficient resources to respond.

[0110] As an example, the instant computing task of the i-th server at time t and the time-critical delay computing task of the i-th server at time t both require immediate computation and are non-adjustable; the delay-tolerant computing task of the i-th server at time t still has a delay time, and the delay computing task of the i-th server at time t can end the delay computation in advance and is adjustable. Therefore, the scheduling variable of the computing load scheduling model 132 can be set as the delay-tolerant computing task of the i-th server at time t and the delay computing task of the i-th server at time t .

[0111] As an example, when the grid point bus 5 is disturbed, the data center and the supporting energy storage grid point measurement unit 111 capture the frequency change rate of the grid point bus 5 and calculate the corresponding compensation power through the virtual rotor control module 12 , according to the compensation power A scheduling strategy of the computing load scheduling model 132 can be set. The computing load scheduling model 132 in the computing load power consumption scheduling module 13 determines a scheduling objective function and a computing task constraint by using the delay tolerance and the flexibility in time of the computing task, to obtain a data center scheduling instruction.

[0112] Specifically, the scheduling objective of the computing load scheduling model 132 can be set as minimizing the difference between the actual adjustment power adjustment amount of the data center and the compensation power output by the virtual rotor control module 12, and the corresponding scheduling objective function is wherein, is the delay-tolerable computing task of the i-th server at t, is the computing task in delay of the i-th server at t, is the computing power consumption of the server cluster at t-1, is the compensation power output by the virtual rotor control module 12, is the idle power consumption of the i-th server, is the maximum power consumption of the i-th server, is the instant computing task of the i-th server at t, is the time-cutoff delay computing task of the i-th server at t, is the maximum computing task of the i-th server, is the total I servers in the IT equipment.

[0113] As an example, the computing task constraint of the computing load scheduling model 132 can include: the maximum computing capacity constraint of the server, the computing task dependency constraint, and the task deadline constraint.

[0114] Specifically, the maximum computing capacity constraint of the server is that, for each server, the computing task amount of the server at t shall not exceed the corresponding maximum computing capacity , and the expression is: wherein, is the instant computing task of the i-th server at t; is the time-cutoff delay computing task of the i-th server at t; is the delay-tolerable computing task of the i-th server at t; is the computing task in delay of the i-th server at t; ​​This represents a safety threshold coefficient, designed to prevent servers from being under full load, which could lead to a sharp drop in performance.

[0115] As an example, computational tasks often have dependencies; a computational task can only begin after all its preceding computational tasks have been completed, forming a directed acyclic graph (DAG). Therefore, computational task dependency constraints can be set as follows: during scheduling, it must be ensured that the delay time of both delayable and delayed computational tasks is less than or equal to the execution time of their corresponding dependent computational tasks, expressed as: in, Let be the time-delayable computing task of the i-th server at time t; Let be the computation task of the i-th server during the delay at time t. This represents the delay time for calculating task x. This represents the execution time of task x. This represents a computation task that depends on computation task x.

[0116] As an example, for the adjustable portion of the computation tasks that can be delayed and those that are currently delayed, each task has a deadline. The deadline constraint can be set so that both delayed and ongoing computation tasks must be completed before their respective deadlines to ensure the timeliness of the computation tasks. The expression is: in, For time t, the first i Lazyable computing tasks on each server; For time t, the first i The computational tasks during the latency of each server. This represents the deadline for calculating task x. This represents the time required to compute task x.

[0117] Furthermore, the time-delayable tasks that need to be adjusted are optimized based on the scheduling objective function and computational task constraints. Delayed tasks The specific parameters are used to generate data center scheduling instructions.

[0118] As an example, the data center scheduling instruction is a time-delayable task. Delayed tasks The specific parameters may include server or rack number, task type, start time of scheduling operation, duration or expected completion time, expected power consumption, etc.

[0119] As an example, in step S53, the energy storage inverter scheduling instruction is connected to the energy storage system 4 through a high-speed communication link and a power electronic drive circuit, sends a real-time power setting value or a frequency-power regulation curve instruction to the energy storage system 4, commands it to absorb or release active power, realizes fast compensation and steady-state support; the data center scheduling instruction is connected to the data center 3 through network communication or hardwiring (dry contact signal), adjusts the IT equipment 32 of the data center 3, realizes task migration and power consumption adjustment, and thus completes the coordinated inertia response of the data center and the supporting energy storage.

[0120] In the coordinated inertia response control method of the present application, by focusing on the adjustable potential of massive data center loads, and taking the unique "computing time migration" characteristic as the core power compensation means, the traditional inertia supply path relying on energy storage or new energy equipment is replaced, the inertia response and primary frequency modulation key characteristics of the synchronous generator can be accurately simulated; without additional new energy hardware or modification of new energy equipment, the data center load can be flexibly scheduled to effectively suppress grid frequency oscillation, smooth the frequency change rate, and at the same time stabilize the steady-state frequency deviation to the allowable range, thereby enhancing the stability and anti-disturbance ability of the high-proportion renewable energy power grid, fundamentally improving the grid frequency regulation effect; it can also significantly broaden the inertia supply source of the power grid, break the limitation of traditional single resource, and help the optimal allocation of adjustable resources of the power grid, especially in the high-proportion renewable energy grid-connected scenario, it can effectively enhance the anti-disturbance ability of the power grid, further ensure the stability and safety of the power grid operation, and provide key technical support for the efficient operation of the new type of power system.

[0121] It should be understood that although each step in the flowchart of the accompanying drawings is shown in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the accompanying drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these sub-steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or sub-steps or stages of other steps.

[0122] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0123] While the application has been described by way of example, it should be appreciated that any modification and / or alteration of this application be deemed within the scope and spirit of the application unless otherwise indicated.

Claims

1. A cooperative inertia response control device characterized by, The first end of the synergic inertia response control device is connected with the first end of the voltage transformer and the current transformer, the second end of the voltage transformer and the current transformer is connected with the grid point bus, the third end of the voltage transformer and the current transformer is connected with the first end of the data machine room and the first end of the energy storage system, the second end of the synergic inertia response control device is connected with the second end of the data machine room, the third end of the synergic inertia response control device is connected with the third end of the data machine room, and the fourth end of the synergic inertia response control device is connected with the second end of the energy storage system. The synergic inertia response control device comprises a data center measurement module, a virtual rotor control module, a computing load power consumption scheduling module and an energy storage power scheduling module, the first end of the data center measurement module is connected with the first end of the voltage transformer and the current transformer, the second end of the data center measurement module is connected with the second end of the data machine room, the third end of the data center measurement module is connected with the first end of the virtual rotor control module and the first end of the energy storage power scheduling module, and the fourth end of the data center measurement module is connected with the second end of the energy storage power scheduling module; the second end of the virtual rotor control module is connected with the first end of the computing load power consumption scheduling module, the second end of the computing load power consumption scheduling module is connected with the third end of the data machine room; the third end of the energy storage power scheduling module is connected with the second end of the virtual rotor control module, the fourth end of the energy storage power scheduling module is connected with the second end of the virtual rotor control module, and the fifth end of the energy storage power scheduling module is connected with the second end of the energy storage system.

2. The cooperative inertia response control device according to claim 1, characterized by The data center measurement module comprises a data center and supporting energy storage grid point measurement unit and a data center access end measurement unit, the data center and supporting energy storage grid point measurement unit and the data center access end measurement unit are arranged in parallel and are respectively used for measuring the frequency change rate of the grid point bus and the power change amount of the data machine room.

3. The cooperative inertia response control device according to claim 1, characterized by Transfer function of the virtual rotor control module is represented as: wherein is a frequency variation rate of a point of common coupling bus, is a compensation power, is a virtual inertia time constant of a virtual synchronous machine, is a rated frequency of a virtual synchronous machine, is a damping coefficient of a virtual synchronous machine, is a Laplace operator.

4. The cooperative inertia response control device according to claim 1, characterized by The computing load power consumption scheduling module comprises a computing load power consumption mapping model and a computing load scheduling model, the first end of the computing load power consumption mapping model is connected with the second end of the virtual rotor control module, the second end of the computing load power consumption mapping model is connected with the first end of the computing load scheduling model, and the second end of the computing load scheduling model is connected with the third end of the data machine room.

5. The cooperative inertia response control device according to claim 1, characterized by The energy storage power scheduling module comprises an energy storage primary frequency modulation unit, an energy storage auxiliary compensation unit and a fusion unit. The first end of the energy storage primary frequency modulation unit is connected to the second end of a data center and a supporting energy storage grid-connected point measurement unit. The second end of the energy storage primary frequency modulation unit is connected to the first end of the fusion unit. The first end of the energy storage auxiliary compensation unit is connected to the second end of a virtual rotor control module. The second end of the energy storage auxiliary compensation unit is connected to the second end of the virtual rotor control module. The third end of the energy storage auxiliary compensation unit is connected to the second end of a data center access end measurement unit. The fourth end of the energy storage auxiliary compensation unit is connected to the second end of the fusion unit. The third end of the fusion unit is connected to the second end of an energy storage system.

6. The cooperative inertia response control device according to claim 5, characterized by The transfer function of the energy storage primary frequency modulation unit Is: wherein denotes a first-order frequency modulation coefficient, is the Laplacian operator.

7. A cooperative inertia response control method characterized by, The application is applied to the collaborative inertia response control device as claimed in any one of claims 1 to 6, comprising the following steps: The data center and the supporting energy storage grid-connected point measurement unit measure the grid-connected point bus to obtain the frequency change rate of the grid-connected point bus; The data center access end measurement unit measures the power change of the data center access end to obtain the power change of the data center; The virtual rotor control module receives the frequency change rate of the grid-connected point bus, simulates the rotor motion equation, and obtains the virtual synchronous motor compensation power required when the grid-connected point bus is disturbed through the virtual inertia power compensation control strategy; The energy storage power scheduling module performs energy storage auxiliary power compensation and primary frequency modulation power compensation according to the frequency change rate of the grid-connected point bus and the power change of the data center to obtain the energy storage converter scheduling instruction; The computing load power consumption scheduling module performs task scheduling according to the compensation power required when the grid-connected point bus is disturbed to obtain the data center scheduling instruction, adjusts the data center and the energy storage system according to the energy storage converter scheduling instruction and the data center scheduling instruction, and completes the collaborative inertia response.

8. The co-inertia response control method according to claim 7, characterized in that, The virtual rotor control module receives the frequency change rate of the grid-connected point bus, simulates the rotor motion equation, and obtains the virtual synchronous motor compensation power required when the grid-connected point bus is disturbed through the virtual inertia power compensation control strategy, comprising: determining the rotor motion equation of the virtual synchronous motor; based on the rotor motion equation of the virtual synchronous motor, obtaining the power shortage per unit of the virtual synchronous motor through the relationship between the frequency and the angular frequency and the relationship between the virtual rotational inertia and the virtual inertia time constant; obtaining the virtual synchronous motor compensation power required when the grid-connected point bus is disturbed through Laplace transform.

9. The co-inertia response control method according to claim 7, characterized in that, The computing load power consumption scheduling module performs task scheduling according to the compensation power required when the grid-connected point bus is disturbed to obtain the data center scheduling instruction, adjusts the data center and the energy storage system according to the energy storage converter scheduling instruction and the data center scheduling instruction, and completes the collaborative inertia response, comprising: the computing load power consumption mapping model in the computing load power consumption scheduling module obtains the compensation power output by the virtual rotor control module and calculates the computing power consumption of the IT equipment; The computing load scheduling model in the computing load power consumption scheduling module utilizes the delay tolerance and time flexibility of the task to determine a scheduling target function and a computing task constraint, and obtains a data machine room scheduling instruction; According to the energy storage converter scheduling instruction and the data machine room scheduling instruction, the data machine room and the energy storage system are adjusted respectively, and the collaborative inertia response is completed.

10. The co-inertia response control method according to claim 9, characterized in that, The scheduling objective function is: wherein, is the delayable computing task of the i-th server at time t, is the delayable computing task of the i-th server at time t, is the compensating power output by the virtual rotor control module, is the idle power consumption of the i-th server, is the computing power consumption of the server cluster at time t-1, is the maximum power consumption of the i-th server, is the instant computing task of the i-th server at time t, is the time-critical delayable computing task of the i-th server at time t, is the maximum computing task of the i-th server, is the total I servers in the IT equipment.

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