Method and device for determining support contribution of energy storage to power grid frequency response key index and computer equipment

Abstract

The invention relates to a method, a device and equipment for determining support contribution of energy storage to power grid frequency response key indexes, a readable storage medium and a program product. The method comprises the following steps: after a frequency safety problem occurs in a power system, obtaining active output power of each energy storage device in the power system in a target frequency response process; first influence information of each energy storage device on an initial frequency response process is determined according to the active output power, and the initial frequency response process is a frequency response process after a frequency safety problem occurs under the condition that the power system does not have the energy storage device; and determining second influence information of each energy storage device on a target characteristic parameter according to the first influence information, the target characteristic parameter being a characteristic parameter used for representing the target frequency response process, and the second influence information being used for representing contribution provided by each energy storage device in the target frequency response process. By adopting the method, the contribution provided by the energy storage equipment when actively participating in the frequency regulation of the power system can be accurately determined.

Description

Technical Field

[0001] The present application relates to the field of power technology, and particularly to a method, device, computer device, readable storage medium, and program product for determining the support contribution of energy storage to key indicators of power grid frequency response. Background Art

[0002] In a new power system, it is an inevitable way to provide active frequency support through energy storage devices to maintain the frequency security of the power system. To encourage energy storage devices to actively participate in the frequency regulation of the power system, the power system provides economic compensation for the participating energy storage devices, and the determination of the economic compensation needs to be based on the role played by the energy storage devices in participating in the frequency regulation of the power system.

[0003] Therefore, there is an urgent need for a method that can accurately determine the contribution provided by energy storage devices when actively participating in the frequency regulation of the power system. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, readable storage medium, and program product for determining the support contribution of energy storage to key indicators of power grid frequency response, which can accurately determine the contribution provided by energy storage devices when actively participating in the frequency regulation of the power system.

[0005] In a first aspect, the present application provides a method for determining the support contribution of energy storage to key indicators of power grid frequency response, including:

[0006] After a frequency security problem occurs in the power system, obtain the active output power of each energy storage device in the power system during the target frequency response process;

[0007] Determine the first influence information of each energy storage device on the initial frequency response process according to the active output power, where the initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device;

[0008] Determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information, where the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device during the target frequency response process.

[0009] In one embodiment, the determining the first influence information of each energy storage device on the initial frequency response process according to the active output power includes: obtaining a target unit impulse response, where the target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device; and determining the first influence information according to the unit impulse response and the active output power.

[0010] In one embodiment, determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information includes: obtaining the true frequency response information of the power system after the frequency security problem occurs; determining the initial frequency response information corresponding to the initial frequency response process according to the true frequency response information and the first influence information; and determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0011] In one embodiment, the target characteristic parameter includes the maximum frequency change rate, the steady-state frequency deviation, and the maximum frequency deviation. Determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information includes: determining the first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information; determining the second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information; determining the third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information; and determining the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0012] In one embodiment, obtaining the target unit impulse response includes: obtaining the transfer function of the power system and determining the target unit impulse response based on the inverse transform algorithm and the transfer function.

[0013] In one embodiment, the method further includes: determining the revenue information of each energy storage device in the power system according to the second influence information, and distributing the revenue to each energy storage device based on the revenue information.

[0014] In a second aspect, the present application further provides a device for determining the support contribution of energy storage to key indicators of power grid frequency response, including:

[0015] An acquisition module, configured to obtain the active output power of each energy storage device in the power system during the target frequency response process after a frequency security problem occurs in the power system;

[0016] A determination module, configured to determine the first influence information of each energy storage device on the initial frequency response process according to the active output power, where the initial frequency response process is the frequency response process of the power system after the frequency security problem occurs when there is no energy storage device in the power system;

[0017] An execution module, configured to determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information, where the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device during the target frequency response process.

[0018] In a third aspect, the present application also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method described in any one of the embodiments in the first aspect above are implemented.

[0019] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in any one of the embodiments in the first aspect above are implemented.

[0020] In a fifth aspect, the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method described in any one of the embodiments in the first aspect above are implemented.

[0021] The above method, device, computer device, computer-readable storage medium, and computer program product for determining the support contribution of energy storage to key indicators of power grid frequency response, after a frequency security problem occurs in the power system, first obtain the active output power of each energy storage device in the target frequency response process in the power system; then determine the first influence information of each energy storage device on the initial frequency response process according to the active output power. The initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device; then, determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information. The target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device in the target frequency response process. The method provided by the present application for determining the support contribution of energy storage to key indicators of power grid frequency response determines the contribution information provided by each energy storage device in the target frequency response process according to the active output power of each energy storage device in the target frequency response process after a frequency security problem occurs in the power system, making the accuracy of determining the contribution provided by the energy storage device when actively participating in power system frequency regulation higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0023] Figure 1 It is a schematic flowchart of a method for determining the support contribution of energy storage to key indicators of power grid frequency response in an embodiment;

[0024] Figure 2 Schematic flow chart of a method for determining the first influence information of each energy storage device on the initial frequency response process according to the active output power in an embodiment;

[0025] Figure 3 Schematic flow chart of a method for determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information in an embodiment;

[0026] Figure 4 Schematic flow chart of a method for determining the second influence information of each energy storage device on the target characteristic parameter in an embodiment;

[0027] Figure 5 Schematic flow chart of a method for determining the support contribution of energy storage to the key indicators of power grid frequency response in another embodiment;

[0028] Figure 6 Structural block diagram of a device for determining the support contribution of energy storage to the key indicators of power grid frequency response in an embodiment;

[0029] Figure 7 Internal structure diagram of a computer device in an embodiment;

[0030] Figure 8 Internal structure diagram of a computer device in another embodiment;

[0031] Figure 9 Schematic diagram of a frequency response process in an embodiment;

[0032] Figure 10 Schematic diagram of a power system;

[0033] Figure 11 Schematic diagram of a frequency response process in another embodiment;

[0034] Figure 12 Schematic diagram of active output power in an embodiment;

[0035] Figure 13 Schematic diagram of the power system topology in an embodiment;

[0036] Figure 14 Schematic diagram of the transient COI frequency trajectory in an embodiment;

[0037] Figure 15 Schematic diagram of active output power in an embodiment;

[0038] Figure 16 Schematic diagram of the net control trajectory in an embodiment. Detailed implementation manners

[0039] To make the objectives, technical solutions, and advantages of this application more clear and understandable, the following further details this application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for explaining this application and are not used to limit this application.

[0040] In a new power system, it is an inevitable path to provide active frequency support through energy storage devices to maintain the frequency security of the power system. To encourage energy storage devices to actively participate in the frequency regulation of the power system, the power system provides economic compensation for the participating energy storage devices, and the determination of the economic compensation needs to be based on the role played by the energy storage devices when participating in the frequency regulation of the power system.

[0041] In the prior art, most often the contribution provided by the energy storage device when actively participating in the frequency regulation of the power system is determined based on the control parameters of the energy storage device.

[0042] On the one hand, this method has certain limitations and can only be used when the energy storage device adopts a certain fixed control strategy and cannot adapt to other scenarios. On the other hand, based on control parameters rather than actual measurement data, and the sum of the contributions of each energy storage device determined by this method is not equal to the total contribution of the entire energy storage cluster, all indicating that the accuracy of the contribution determined by the prior art is relatively poor.

[0043] Specifically, after a frequency security problem occurs in the power system, the frequency response of the power system shows the characteristics of second-order oscillatory decay, that is, it first rapidly changes to a peak value and then slowly converges to the steady state, as can be Figure 9 shown. To describe it, three key indicators are proposed, namely the maximum frequency deviation, the maximum frequency change rate, and the steady-state frequency deviation.

[0044] Among them, the maximum frequency deviation refers to the maximum deviation between the actual value and the rated value of the power system frequency during the entire frequency response process; the maximum frequency change rate refers to the maximum value of the absolute value of the power system frequency change rate during the entire frequency response process, which generally occurs at the time of disturbance; the steady-state frequency deviation is the deviation between the actual value and the rated value of the power system frequency after the primary frequency regulation of the power system enters the steady state during the frequency response process.

[0045] Furthermore, assume that the power system is a power system containing multiple generator devices and multiple energy storage devices, as can be Figure 10 shown.

[0046] When a disturbance occurs at a certain node in the power system, the frequencies of all nodes in the power system will experience a transient frequency response process. Although the frequencies of each node are slightly different, the frequency of the center of inertia (COI) of the power system can still be used to reflect the overall frequency response behavior of the entire power system, asFigure 11 As shown Figure 11 In the figure, the solid line represents the frequency response of the power system when there is a frequency support provided by the energy storage device, and the dashed line represents the frequency response of the power system when there is no energy storage device. Figure 11 The energy storage cluster in it refers to a cluster composed of multiple energy storage devices.

[0047] Obviously, the change amount between the maximum frequency deviation of the power system frequency response before the energy storage device support and the maximum frequency deviation of the power system frequency response after the energy storage device support represents the contribution of the energy storage device to this key index of the system's maximum frequency deviation. However, due to the adoption of different control strategies, the active output powers of different energy storage devices vary greatly, as shown in Figure 12 As shown. This results in poor accuracy in determining the contribution of each energy storage device based on the control parameters.

[0048] In view of this, the present application provides a method for determining the support contribution of energy storage to the key indicators of the power grid frequency response. Since the contribution information provided by each energy storage device during the target frequency response process is determined according to the active output power of each energy storage device during the target frequency response process after a frequency security problem occurs in the power system, the accuracy of determining the contribution provided by the energy storage device when actively participating in the power system frequency regulation can be effectively improved.

[0049] The method for determining the support contribution of energy storage to the key indicators of the power grid frequency response provided by the present application may have a computer device as its execution subject. This computer device can be a terminal or a server.

[0050] In an exemplary embodiment, as shown in Figure 1 As shown, a method for determining the support contribution of energy storage to the key indicators of the power grid frequency response is provided. The method includes the following steps:

[0051] Step 101: After a frequency security problem occurs in the power system, obtain the active output power of each energy storage device in the power system during the target frequency response process.

[0052] Optionally, the frequency security problem refers to a series of situations related to the operating frequency of the power system that may affect the stability of the power system, the normal operation of equipment, and the power supply quality. For example, power deficits caused by DC blocking, generator tripping due to reasons, etc.

[0053] The frequency response process refers to the process in which after a frequency security problem occurs in the power system, when the frequency of the power system changes due to disturbances, each component in the power system makes corresponding responses based on its own characteristics to achieve the purpose of regulating the frequency.

[0054] The target frequency response process refers to the process in which the energy storage devices in the power system respond accordingly to achieve the purpose of regulating the frequency after a frequency security problem occurs in the power system and the frequency of the power system changes due to a disturbance.

[0055] Active output power refers to the power portion that is actually output by the energy storage device and can be effectively utilized to complete fixed energy conversion.

[0056] In some exemplary embodiments, after a frequency security problem occurs in the power system, the active output power of each energy storage device during the target frequency response process may be determined by a PMU (Phasor Measurement Unit).

[0057] Step 102: Determine first impact information of each energy storage device on an initial frequency response process according to the active output power.

[0058] The initial frequency response process is the frequency response process of the power system after the frequency safety problem occurs in the absence of the energy storage device.

[0059] For example, when there is no energy storage equipment in the power system, frequency response will also be performed after a frequency safety problem occurs, and this process can be called the initial frequency response process.

[0060] Furthermore, when there are energy storage devices in the power system, after a frequency safety problem occurs, the active output power provided by each energy storage device will also participate in the frequency response process, so that the initial frequency response process will be affected and changed. The impact on the initial frequency response process is the first impact information of the energy storage device on the initial frequency response process, and the first impact information can also be called the net control trajectory.

[0061] In some exemplary embodiments, after obtaining the active output power of each energy storage device in the power system during the target frequency response process, the parameters corresponding to the initial frequency response process can be obtained, and the first impact information of each energy storage device on the initial frequency response process can be determined based on the parameters and the active output power.

[0062] Step 103: Determine second impact information of each energy storage device on a target characteristic parameter according to the first impact information.

[0063] The target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second impact information is used to characterize the contribution provided by each of the energy storage devices in the target frequency response process.

[0064] Exemplarily, as described above, after a frequency security problem occurs in the power system, the frequency response of the power system will exhibit the characteristics of second-order oscillatory decay, that is, it first rapidly changes to a peak value and then slowly converges to the steady state. Usually, three indicators can be used to describe it, and these three indicators are also the maximum frequency deviation, the maximum rate of change of frequency, and the steady-state frequency deviation described above, and these three indicators are also the target characteristic parameters described above.

[0065] In some exemplary embodiments, after determining the first influence information of each energy storage device on the initial frequency response process according to the active output power, the influence information of each energy storage device on the above-mentioned target characteristic parameters can be determined first according to the first influence information, and then the second influence information can be determined according to these influence information.

[0066] The above-mentioned method, device, computer device, computer-readable storage medium, and computer program product for determining the support contribution of energy storage to the key indicators of power grid frequency response, after a frequency security problem occurs in the power system, first obtain the active output power of each energy storage device in the target frequency response process in the power system; then determine the first influence information of each energy storage device on the initial frequency response process according to the active output power, and the initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device; then, determine the second influence information of each energy storage device on the target characteristic parameters according to the first influence information, and the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device in the target frequency response process. The method for determining the support contribution of energy storage to the key indicators of power grid frequency response provided by the present application determines the contribution information provided by each energy storage device in the target frequency response process according to the active output power of each energy storage device in the target frequency response process after a frequency security problem occurs in the power system, so that the accuracy of determining the contribution provided by the energy storage device when actively participating in the frequency regulation of the power system is higher.

[0067] In an exemplary embodiment, as Figure 2 shown, determining the first influence information of each energy storage device on the initial frequency response process according to the active output power includes the following steps:

[0068] Step 201, obtain the target unit impulse response.

[0069] The target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device.

[0070] Step 202, determine the first influence information according to the unit impulse response and the active output power.

[0071] In some exemplary embodiments, the target unit impulse response can be expressed as , and the active output power can be expressed as , where j represents the j-th energy storage device among multiple energy storage devices. After obtaining the target unit impulse response, the first influence information can be determined according to the unit impulse response and the active output power.

[0072] Specifically, , where is the first influence information of the active output power of the j-th energy storage device in each energy storage device on the initial frequency response process.

[0073] In one exemplary embodiment, as Figure 3 shown, determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information includes the following steps:

[0074] Step 301, obtain the true frequency response information of the power system after the frequency security problem occurs.

[0075] In some exemplary embodiments, the true frequency response information of the power system after the frequency security problem occurs can be determined by PUM, and the true frequency response information can be expressed as .

[0076] Step 302, determine the initial frequency response information corresponding to the initial frequency response process according to the true frequency response information and the first influence information.

[0077] The initial frequency response information is also the static disturbance trajectory. The initial frequency response information can be expressed as .

[0078] In some exemplary embodiments, the , where is the sum of the first influence information of each energy storage device.

[0079] Step 303, determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0080] In some exemplary embodiments, after determining the first influence information and the initial frequency response information, the second influence information of each energy storage device on the target characteristic parameter can be determined according to the first influence information and the initial frequency response information.

[0081] In one exemplary embodiment, as Figure 4As shown, the target characteristic parameters include the maximum frequency change rate, the steady-state frequency deviation, and the maximum frequency deviation. Determining the second influence information of each energy storage device on the target characteristic parameters according to the first influence information and the initial frequency response information includes the following steps:

[0082] Step 401: Determine the first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information.

[0083] In some exemplary embodiments, after a frequency security problem occurs in the power system, the maximum frequency change rate of the target frequency response process of the power system appears at the initial moment of the disturbance. For the sake of calculation accuracy and robustness, the data of the frequency response trajectory corresponding to the time period of 0 to 0.5 s after the disturbance occurs is taken for calculation, that is, take .

[0084] Further, since this is a linear formula, combined with the described above, the formula is transformed to obtain , from which it can be determined that the contribution of each energy storage device to the maximum frequency change rate is , that is, the first sub-influence information of each energy storage device on the maximum frequency change rate.

[0085] Step 402: Determine the second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information.

[0086] In an exemplary embodiment, after a frequency security problem occurs in the power system, the steady-state frequency deviation of the target frequency response process of the power system appears after the primary frequency regulation enters the steady state, that is .

[0087] Further, since this is also a linear formula, combined with the described above, the formula is transformed to obtain , from which it can be determined that the contribution of each energy storage device to the steady-state frequency deviation is , that is, the second sub-influence information of each energy storage device on the steady-state frequency deviation.

[0088] Step 403: Determine the third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information.

[0089] In some exemplary embodiments, after a frequency security problem occurs in the power system, the time when the maximum frequency deviation appears in the target frequency response process of the power system will vary depending on the frequency regulation means included in the power system. For example, when a power system with energy storage devices and a power system without energy storage devices face the same disturbance, the time when the maximum frequency deviation appears is always different, which makes the formula for calculating the maximum deviation of the power system frequency response not linear, that is .

[0090] Furthermore, since the formula is not linear, then . Then, based on the Shapley value, the average marginal contribution is used to evaluate the contribution of each energy storage to the maximum frequency deviation, and combined with the described above, it is determined that the marginal contribution of the j-th energy storage device in multiple energy storage devices to an energy storage sub-cluster S composed of multiple energy storage devices is , from which the contribution of each energy storage to the maximum frequency deviation can be determined as , that is, the third sub-influence information of each energy storage device on the maximum frequency deviation, where represents the total number of energy storage devices, represents the number of energy storages in the energy storage sub-cluster S.

[0091] Step 404: Determine the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0092] In some exemplary embodiments, after determining the first sub-influence information, the second sub-influence information, and the third sub-influence information, the first sub-influence information, the second sub-influence information, and the third sub-influence information can be determined as the second influence information.

[0093] In one exemplary embodiment, the obtaining of the target unit impulse response includes: obtaining the transfer function of the power system, and determining the target unit impulse response based on the inverse transform algorithm and the transfer function.

[0094] Optionally, the inverse transform algorithm can be the Laplace inverse transform algorithm.

[0095] In some exemplary embodiments, after obtaining the transfer function of the power system, the transfer function can be subjected to Laplace inverse transform to obtain the target unit impulse response.

[0096] In one exemplary embodiment, the method further includes: determining the revenue information of each energy storage device in the power system according to the second influence information, and distributing revenue to each energy storage device based on the revenue information.

[0097] In some exemplary embodiments, when determining the second influence information of each energy storage device on the target characteristic parameter, it is possible to determine the contribution provided by each energy storage device during the target frequency response process.

[0098] Furthermore, the benefit information of each energy storage device can be determined based on a preset weight and the second influence information, and benefits can be distributed to each energy storage device based on the benefit information.

[0099] In one exemplary embodiment, as Figure 5 shown, another method for determining the support contribution of energy storage to the key indicators of power grid frequency response is provided. This method includes the following steps:

[0100] Step 501: After a frequency security problem occurs in the power system, obtain the active output power of each energy storage device in the power system during the target frequency response process; obtain the transfer function of the power system, and determine the target unit impulse response based on the inverse transform algorithm and the transfer function. The target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device.

[0101] Step 502: Determine the first influence information based on the unit impulse response and the active output power. The initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device; obtain the actual frequency response information of the power system after the frequency security problem occurs; determine the initial frequency response information corresponding to the initial frequency response process based on the actual frequency response information and the first influence information.

[0102] Step 503: Determine the first sub-influence information of each energy storage device on the maximum frequency change rate based on the first influence information; determine the second sub-influence information of each energy storage device on the steady-state frequency deviation based on the first influence information; determine the third sub-influence information of each energy storage device on the maximum frequency deviation based on the first influence information and the initial frequency response information.

[0103] Step 504: Determine the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information. The target characteristic parameters include the maximum frequency change rate, the steady-state frequency deviation, and the maximum frequency deviation. The target characteristic parameters are the characteristic parameters used to characterize the target frequency response process. The second influence information is used to characterize the contribution provided by each energy storage device during the target frequency response process; determine the benefit information of each energy storage device in the power system based on the second influence information, and distribute benefits to each energy storage device based on the benefit information.

[0104] It should be noted that the inventor of the present application has carried out relevant practices to prove the effectiveness of the method provided by the present application.

[0105] First, simulate the power system and obtain the required parameters. Specifically, simulate the standard WSCC 3-machine 9-bus power system and make the following adjustments: ① Replace part of the synchronous generators with new energy generation at each generator bus. ② Equip each synchronous generator with a high-order governor and turbine to provide primary frequency regulation. ③ Add energy storage devices at buses 4, 7, and 9 to provide fast frequency response. The topology of this power system is as Figure 13 shown.

[0106] Among them, the load-frequency coefficients of each load in the power system are all set to 2.0, and the main parameters in the power system are shown in the following table.

[0107] Table 1

[0108]

[0109] For the three energy storage devices ES1, ES2, and ES3 in the power system, droop control, virtual inertia control, and shaping control are respectively adopted, that is .

[0110] A total of two scenarios are set, the power system scenario without energy storage devices and the power system scenario with energy storage devices. Electromagnetic transient simulations are carried out based on the two scenarios. First, start the simulation to reach the steady state, and then suddenly increase a load with an active power demand of 15.75 MW (5%) at bus 8. The transient COI frequency trajectories under the two scenarios are as Figure 14 shown, Figure 14 The total supporting effect of the energy storage in [] refers to the total contribution provided by the energy storage devices during the frequency response process. The active power output of the three energy storage devices when participating in the frequency response is as Figure 15 shown.

[0111] According to the simulation results, it can be seen that the energy storage cluster composed of the three energy storage devices contributes 0.0321132 Hz to the steady-state frequency deviation of the power system frequency response, 0.0706359 Hz / s to the maximum frequency change rate, and 0.2265727 Hz to the maximum frequency deviation.

[0112] Furthermore, based on the model and parameters of the power system, a transfer function model with active power change as the input and frequency change as the output is constructed (without the support of energy storage devices). Then, the impulse response of the power system is obtained through the impulse() function of Matlab. By convolving the impulse response with the active power output of each energy storage device, the corresponding net control trajectory of each energy storage device can be obtained, as Figure 16 shown.

[0113] Based on the net control trajectories of each energy storage device, calculate the contributions of each energy storage device to the maximum frequency change rate, steady-state frequency deviation, and maximum frequency deviation of the power system frequency response respectively according to the method provided in this application. The obtained results can be shown in Table 2.

[0114] Table 2

[0115]

[0116] It can be seen from this that the sum of the contributions of each energy storage device to the key indicators corresponding to the power system frequency response is basically consistent with the contribution of the energy storage cluster to the key indicators. This also proves that the method provided in this application meets the efficiency property. And the error here mainly comes from the differences between the models. The model for electromagnetic transient simulation and the power system transfer function model used in the calculation have a large difference in refinement, so some errors are caused.

[0117] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are displayed in sequence according to the indications of the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily have to be executed at the same moment, but can be executed at different moments. The execution order of these steps or stages does not necessarily have to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0118] Based on the same inventive concept, the embodiments of this application also provide a device for determining the support contribution of energy storage to the key indicators of power grid frequency response for implementing the method for determining the support contribution of energy storage to the key indicators of power grid frequency response involved above. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the device for determining the support contribution of energy storage to the key indicators of power grid frequency response provided below can refer to the limitations on the method for determining the support contribution of energy storage to the key indicators of power grid frequency response in the above text, and will not be repeated here.

[0119] In an exemplary embodiment, as Figure 6 shown, a device 600 for determining the support contribution of energy storage to the key indicators of power grid frequency response is provided, including: an acquisition module 601, a determination module 602, and an execution module 603, where:

[0120] An acquisition module 601, configured to, after a frequency security problem occurs in a power system, acquire the active output power of each energy storage device in the power system during a target frequency response process;

[0121] A determination module 602, configured to determine first influence information of each energy storage device on an initial frequency response process according to the active output power, where the initial frequency response process is a frequency response process of the power system after the frequency security problem occurs when there is no such energy storage device in the power system;

[0122] An execution module 603, configured to determine second influence information of each energy storage device on a target characteristic parameter according to the first influence information, where the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device during the target frequency response process.

[0123] In one embodiment, the determination module 602 is specifically configured to acquire a target unit impulse response, where the target unit impulse response is the unit impulse response of the power system when there is no such energy storage device; and determine the first influence information according to the unit impulse response and the active output power.

[0124] In one embodiment, the execution module 603 is specifically configured to acquire the true frequency response information of the power system after the frequency security problem occurs; determine the initial frequency response information corresponding to the initial frequency response process according to the true frequency response information and the first influence information; and determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0125] In one embodiment, the target characteristic parameter includes a maximum frequency change rate, a steady-state frequency deviation, and a maximum frequency deviation. The execution module 603 is specifically configured to determine first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information; determine second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information; determine third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information; and determine the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0126] In one embodiment, the determination module 602 is specifically configured to acquire the transfer function of the power system, and determine the target unit impulse response based on an inverse transform algorithm and the transfer function.

[0127] In one embodiment, the execution module 603 is further configured to determine the revenue information of each energy storage device in the power system according to the second influence information, and distribute revenue to each energy storage device based on the revenue information.

[0128] Each module in the above device for determining the supporting contribution of the energy storage to the key indicators of the power grid frequency response can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0129] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as Figure 7 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for determining the supporting contribution of the energy storage to the key indicators of the power grid frequency response.

[0130] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as Figure 8As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it realizes a method for determining the support contribution of energy storage to key indicators of power grid frequency response.

[0131] Those skilled in the art can understand that Figure 7 or Figure 8 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0132] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0133] After a frequency security problem occurs in the power system, obtain the active output power of each energy storage device in the target frequency response process in the power system;

[0134] Determine the first influence information of each energy storage device on the initial frequency response process according to the active output power. The initial frequency response process is the frequency response process of the power system after the frequency security problem occurs when there is no such energy storage device in the power system;

[0135] Determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information. The target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each energy storage device in the target frequency response process.

[0136] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtaining a target unit impulse response, where the target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device; determining the first influence information according to the unit impulse response and the active output power.

[0137] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtaining the true frequency response information of the power system after the frequency security problem occurs; determining the initial frequency response information corresponding to the initial frequency response process according to the true frequency response information and the first influence information; determining the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0138] In one embodiment, when the processor executes the computer program, the following steps are further implemented: determining the first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information; determining the second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information; determining the third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information; determining the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0139] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtaining the transfer function of the power system, and determining the target unit impulse response based on the inverse transform algorithm and the transfer function.

[0140] In one embodiment, when the processor executes the computer program, the following steps are further implemented: determining the revenue information of each energy storage device in the power system according to the second influence information, and distributing the revenue to each energy storage device based on the revenue information.

[0141] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0142] After a frequency security problem occurs in the power system, obtaining the active output power of each energy storage device in the power system during the target frequency response process;

[0143] Determining the first influence information of each energy storage device on the initial frequency response process according to the active output power, where the initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device;

[0144] Determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information, where the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contributions provided by each energy storage device in the target frequency response process.

[0145] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the target unit impulse response, where the target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device; determine the first influence information according to the unit impulse response and the active output power.

[0146] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the true frequency response information of the power system after the frequency security problem occurs; determine the initial frequency response information corresponding to the initial frequency response process according to the true frequency response information and the first influence information; determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0147] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information; determine the second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information; determine the third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information; determine the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0148] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the transfer function of the power system, and determine the target unit impulse response based on the inverse transform algorithm and the transfer function.

[0149] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the revenue information of each energy storage device in the power system according to the second influence information, and distribute the revenue to each energy storage device based on the revenue information.

[0150] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0151] After a frequency security problem occurs in the power system, obtain the active output power of each energy storage device in the power system during the target frequency response process;

[0152] Determine the first influence information of each energy storage device on the initial frequency response process according to the active output power, where the initial frequency response process is the frequency response process of the power system after the frequency security problem occurs in the absence of the energy storage device;

[0153] Determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information, where the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contributions provided by each energy storage device in the target frequency response process.

[0154] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the target unit impulse response, where the target unit impulse response is the unit impulse response of the power system in the absence of the energy storage device; determine the first influence information according to the unit impulse response and the active output power.

[0155] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the real frequency response information of the power system after the frequency security problem occurs; determine the initial frequency response information corresponding to the initial frequency response process according to the real frequency response information and the first influence information; determine the second influence information of each energy storage device on the target characteristic parameter according to the first influence information and the initial frequency response information.

[0156] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the first sub-influence information of each energy storage device on the maximum frequency change rate according to the first influence information; determine the second sub-influence information of each energy storage device on the steady-state frequency deviation according to the first influence information; determine the third sub-influence information of each energy storage device on the maximum frequency deviation according to the first influence information and the initial frequency response information; determine the first sub-influence information, the second sub-influence information, and the third sub-influence information as the second influence information.

[0157] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain the transfer function of the power system, and determine the target unit impulse response based on the inverse transform algorithm and the transfer function.

[0158] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determine the revenue information of each energy storage device in the power system according to the second influence information, and distribute revenue to each energy storage device based on the revenue information.

[0159] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., and are not limited thereto.

[0160] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in this application.

[0161] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for determining the supporting contribution of energy storage to key indicators of power grid frequency response, characterized in that: The method comprises: After a frequency security problem occurs in the power system, obtaining the active output power of each energy storage device in the power system during the target frequency response process; Determine first impact information of each of the energy storage devices on an initial frequency response process according to the active output power, wherein the initial frequency response process is a frequency response process of the power system after the frequency safety problem occurs when the energy storage device is not present; The second influence information of each of the energy storage devices on the target characteristic parameter is determined according to the first influence information, wherein the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each of the energy storage devices in the target frequency response process.

2. The method according to claim 1, characterized in that The determining, according to the active output power, first impact information of each energy storage device on the initial frequency response process includes: Acquire a target unit impulse response, where the target unit impulse response is a unit impulse response of the power system when the energy storage device is not present; The first impact information is determined according to the unit impulse response and the active output power.

3. The method according to claim 1, characterized in that The determining, according to the first influence information, second influence information of each of the energy storage devices on the target characteristic parameter comprises: Acquiring real frequency response information of the power system after the frequency safety problem occurs; Determine initial frequency response information corresponding to the initial frequency response process according to the real frequency response information and the first impact information; Second impact information of each of the energy storage devices on a target characteristic parameter is determined according to the first impact information and the initial frequency response information.

4. The method according to claim 3, characterized in that: The target characteristic parameters include a maximum frequency change rate, a steady-state frequency deviation, and a maximum frequency deviation. The second influence information of each energy storage device on the target characteristic parameters is determined according to the first influence information and the initial frequency response information, including: Determine first sub-influence information of each of the energy storage devices on the maximum frequency change rate according to the first influence information; Determine second sub-influence information of each of the energy storage devices on the steady-state frequency deviation according to the first influence information; Determine third sub-influence information of each of the energy storage devices on the maximum frequency deviation according to the first influence information and the initial frequency response information; The first sub-influence information, the second sub-influence information, and the third sub-influence information are determined as the second influence information.

5. The method according to claim 2, characterized in that: The obtaining of the target unit impulse response comprises: A transfer function of the power system is acquired, and the target unit impulse response is determined based on an inverse transformation algorithm and the transfer function.

6. The method according to claim 1, characterized in that The method further comprises: The profit information of each energy storage device in the power system is determined according to the second impact information, and the profit is distributed to each energy storage device based on the profit information.

7. A device for determining the supporting contribution of energy storage to key indicators of power grid frequency response, characterized in that: The device comprises: An acquisition module, used for acquiring the active output power of each energy storage device in the power system during the target frequency response process after a frequency safety problem occurs in the power system; A determination module, configured to determine first influence information of each of the energy storage devices on an initial frequency response process according to the active output power, wherein the initial frequency response process is a frequency response process of the power system after the frequency security problem occurs when the energy storage device is not present; An execution module is used to determine second influence information of each of the energy storage devices on a target characteristic parameter based on the first influence information, wherein the target characteristic parameter is a characteristic parameter used to characterize the target frequency response process, and the second influence information is used to characterize the contribution provided by each of the energy storage devices in the target frequency response process.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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