Energy storage system power quality optimization method, device, equipment, medium and product

Abstract

This disclosure relates to a method, apparatus, device, medium, and product for optimizing the power quality of an energy storage system. The method includes: acquiring a current signal from an external power grid; analyzing the current signal to obtain its harmonic components; evaluating the compensation capability of the energy storage system for the harmonic components based on its capacity; and compensating for the harmonic components of the current signal from the external power grid based on the compensation capability. Embodiments of this disclosure can compensate for the harmonic components of the current from the external power grid through an energy storage system, thereby reducing the harmonic components and optimizing the power quality of the external power grid.

Description

Technical Field

[0001] This disclosure relates to the field of energy storage technology, and more specifically, to a method, apparatus, equipment, medium, and product for optimizing the power quality of an energy storage system. Background Technology

[0002] Energy storage technology is a strategic technology supporting the widespread adoption of renewable energy. From a technical perspective, in areas with a high proportion of renewable energy integration, large-capacity energy storage can mitigate the impact of large-power imbalances that may result from such integration, enhance the inertia support of the synchronous power grid, and provide primary frequency regulation capabilities in the later stages of large grid disturbances, effectively reducing the risk of grid frequency exceeding limits and instability. Furthermore, configuring large-scale energy storage at renewable energy power plants, through the storage of abandoned power and participation in peak shaving, can improve the spatial and temporal balance of power in the grid after a high proportion of renewable energy is integrated into the power system, promoting the consumption and utilization of renewable energy. In addition, large-scale energy storage systems can be incorporated into the grid security control system to provide emergency power support for the grid, reduce load shedding risks, and further improve the stability of AC / DC hybrid power grids in large areas. Moreover, large-scale energy storage can also meet the power supply needs of short-term peak loads in the region, improving the utilization rate of renewable energy units. In summary, by configuring large-scale energy storage, the ability of renewable energy power plants to actively support the power grid in terms of frequency regulation, voltage regulation, and peak shaving can be improved, enabling them to be dispatched and controlled like conventional thermal power plants. This enhances the grid-friendliness of new energy units and the safety and stability of the power grid after their connection. It is a key supporting technology for significantly improving the level of renewable energy consumption and utilization.

[0003] However, there is still a lack of research and application on how to use energy storage systems to optimize the power quality of the power grid. Summary of the Invention

[0004] To address the aforementioned issues, this disclosure provides a method, apparatus, equipment, medium, and product for optimizing the power quality of an energy storage system.

[0005] According to a first aspect of the present disclosure, a method for optimizing the power quality of an energy storage system is provided, the method comprising:

[0006] Acquire the current signal from the external power grid;

[0007] The current signal of the external power grid is analyzed to obtain the harmonic components of the current signal of the external power grid.

[0008] Based on the capacity of the energy storage system, assess the energy storage system's ability to compensate for each harmonic component;

[0009] The harmonic components of the current signal of the external power grid are compensated according to the compensation capability.

[0010] Optionally, the step of analyzing the current signal of the external power grid to obtain the harmonic components of the current signal of the external power grid includes:

[0011] Perform a Fourier transform on the current signal of the external power grid to extract the specified harmonic components, which include harmonic current and harmonic phase.

[0012] Optionally, evaluating the energy storage system's ability to compensate for each harmonic component based on its capacity includes:

[0013] Obtain the compensation capacity values ​​for each harmonic component of the external power grid;

[0014] The energy storage system's ability to compensate for each harmonic component is evaluated based on the compensation capacity value of each harmonic component.

[0015] Optionally, obtaining the compensation capacity values ​​for each harmonic component of the external power grid includes:

[0016] Obtain the harmonic current amplitude of each harmonic component;

[0017] Obtain the reference voltage of the external power grid;

[0018] Based on the harmonic current amplitude of each harmonic component and the reference voltage, the compensation capacity value of each harmonic component of the external power grid is obtained.

[0019] Optionally, evaluating the energy storage system's compensation capability for each harmonic component based on the compensation capacity value of each harmonic component includes:

[0020] The remaining compensation capacity of the energy storage system for each harmonic component is obtained sequentially according to the harmonic order from low to high.

[0021] Based on the remaining compensation capacity, the compensation capability of the energy storage system for each harmonic component is determined.

[0022] Optionally, the capacity of the energy storage system includes: nominal capacity and operating capacity, and the step of sequentially obtaining the remaining compensation capacity of the energy storage system for each harmonic component includes:

[0023] Based on the nominal capacity and the operating capacity, obtain the remaining compensation capacity for the fifth harmonic;

[0024] Based on the nominal capacity, the operating capacity, and the remaining compensation capacity of the fifth harmonic, the remaining compensation capacity of each higher harmonic component is obtained sequentially using a recursive method.

[0025] Optionally, determining the compensation capability of the energy storage system for each harmonic component based on the remaining compensation capacity includes:

[0026] If the remaining compensation capacity of the harmonic component is greater than or equal to the compensation capacity value of the harmonic component, it is determined that the energy storage system has the ability to compensate for the harmonic component.

[0027] If the remaining compensation capacity of the harmonic component is less than the compensation capacity value of the harmonic component, it is determined that the energy storage system does not have the ability to compensate for the harmonic component.

[0028] Optionally, the compensation for harmonic components of the current signal from the external power grid based on the compensation capability includes:

[0029] Obtain the current amplitude and phase of the harmonic component with compensation capability;

[0030] Obtain the current amplitude adjustment coefficient and phase adjustment coefficient of the harmonic component with compensation capability;

[0031] Based on the current amplitude and phase of the harmonic components, as well as the current amplitude adjustment coefficient and phase adjustment coefficient, the three-phase compensation current value of the energy storage system for the harmonic components is obtained.

[0032] The harmonic components of the external power grid are compensated based on the three-phase compensation current values.

[0033] According to a second aspect of the present disclosure, a power quality optimization device for an energy storage system is provided, the device comprising:

[0034] The first acquisition module is used to acquire the current signal of the external power grid;

[0035] The second acquisition module is used to analyze the current signal of the external power grid and acquire the harmonic components of the external power grid.

[0036] An evaluation module is used to evaluate the energy storage system's ability to compensate for each harmonic component based on the system's capacity.

[0037] The compensation module is used to compensate for the harmonic components of the external power grid according to the compensation capability.

[0038] According to a third aspect of the present disclosure, an electronic device is provided, comprising:

[0039] A memory on which computer programs are stored;

[0040] A processor for executing the computer program in the memory to implement the steps of any of the methods in the first aspect.

[0041] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of any of the methods described in the first aspect.

[0042] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of any of the methods described in the first aspect.

[0043] In summary, this disclosure provides a method for optimizing the power quality of an energy storage system. The method includes: acquiring a current signal from an external power grid; analyzing the current signal to obtain its harmonic components; evaluating the compensation capability of the energy storage system for these harmonic components based on its capacity; and compensating for the harmonic components of the external power grid's current signal based on the compensation capability. This disclosure enables the energy storage system to compensate for the harmonic components of the external power grid's current, thereby reducing the harmonic components and optimizing the power quality of the external power grid.

[0044] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0045] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0046] Figure 1 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0047] Figure 2 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0048] Figure 3 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0049] Figure 4 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0050] Figure 5 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0051] Figure 6This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0052] Figure 7 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0053] Figure 8 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment.

[0054] Figure 9 This is a block diagram illustrating a power quality optimization device for an energy storage system according to an exemplary embodiment.

[0055] Figure 10 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0056] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0057] It should be understood that the term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the following description.

[0058] It should be noted that the concepts of "first," "second," etc., mentioned in this disclosure are used only to distinguish different devices, modules, or units, and are not used to limit the order of functions performed by these devices, modules, or units or their interdependencies. The modifiers "a" and "a plurality of" mentioned in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless explicitly stated in the context, they should be understood as "one or more." In the description of this disclosure, unless otherwise stated, "a plurality of" means two or more, and other quantifiers are similar; "at least one," "one or more," or similar expressions refer to any combination of these items, including any combination of single or multiple items.

[0059] Although operations or steps are described in a specific order in the accompanying drawings in the embodiments of this disclosure, it should not be construed as requiring these operations or steps to be performed in the specific order or serial order shown, or requiring all of the shown operations or steps to be performed to obtain the desired result. In the embodiments of this disclosure, these operations or steps may be performed serially; they may be performed in parallel; or a portion of these operations or steps may be performed.

[0060] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of these messages or information. It is understood that before using the technical solutions disclosed in the embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0061] First, the application scenarios of this disclosure will be described. The inventors have discovered that, compared to traditional low-voltage parallel solutions, high-voltage cascaded energy storage systems, by employing a modular multilevel topology, can be directly connected to a 35kV or higher power grid without the need for transformer step-up, offering advantages such as large single-unit capacity and fast conversion efficiency response. In addition to participating in conventional power grid peak shaving and frequency regulation, by adopting reasonable control strategies, high-voltage cascaded energy storage systems can also be used to optimize power grid power quality. The following description, in conjunction with specific embodiments, will illustrate this disclosure.

[0062] Figure 1 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 1 As shown in the figure, this disclosure provides a method for optimizing the power quality of an energy storage system, which may include the following steps:

[0063] In step S10, the current signal of the external power grid is acquired.

[0064] In this step, the current signal from the external power grid is acquired. For example, the current signal from the external power grid can be extracted using an external power grid input current transformer (CT).

[0065] In step S20, the current signal of the external power grid is analyzed to obtain the harmonic components of the current signal of the external power grid.

[0066] In this step, the current signal from the external power grid is analyzed to obtain its harmonic components. For example, a Fourier transform can be performed on the current signal to extract specified harmonic components, which include harmonic current and harmonic phase. These specified harmonic components can be the 6k±1 (k≥1)th harmonic current component I. h5 I h7I h11 I h13 ...and the corresponding harmonic current phase φh5, φ h7 φ h11 φ h13 ...where k is a natural number. Of course, other coordinate transformation methods can also be used to obtain the harmonic components of the current signal from the external power grid, and this disclosure does not impose any restrictions on this.

[0067] In step S30, the compensation capability of the energy storage system for each harmonic component is evaluated based on the capacity of the energy storage system.

[0068] In this step, the compensation capability of the energy storage system for each harmonic component is evaluated based on the system's capacity. For example, the compensation capacity values ​​for each harmonic component of the external power grid can be obtained first, and then the compensation capacity values ​​for each harmonic component can be used to evaluate the energy storage system's compensation capability for each harmonic component.

[0069] In step S40, the harmonic components of the current signal of the external power grid are compensated according to the compensation capability.

[0070] In this step, harmonic components of the external power grid's current signal are compensated based on the compensation capability. For example, the current amplitude and phase of the harmonic components with compensation capability can be obtained first, followed by the current amplitude adjustment coefficient and phase adjustment coefficient of the harmonic components with compensation capability. Then, based on the current amplitude and phase of the harmonic components, as well as the current amplitude adjustment coefficient and phase adjustment coefficient, the three-phase compensation current value of the energy storage system for the harmonic components is obtained. Finally, based on the three-phase compensation current value, the harmonic components of the external power grid are compensated to reduce the current harmonic components of the external power grid, thereby optimizing the power quality of the external power grid.

[0071] In summary, this disclosure provides a method for optimizing the power quality of an energy storage system. The method includes: acquiring a current signal from an external power grid; analyzing the current signal to obtain its harmonic components; evaluating the compensation capability of the energy storage system for these harmonic components based on its capacity; and compensating for the harmonic components of the external power grid's current signal based on the compensation capability. This disclosure enables the energy storage system to compensate for the harmonic components of the external power grid's current, thereby reducing the harmonic components and optimizing the power quality of the external power grid.

[0072] Figure 2 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 2As shown, analyzing the current signal of the external power grid to obtain its harmonic components may include the following steps:

[0073] In step S201, a Fourier transform is performed on the current signal of the external power grid to extract the specified harmonic components, which include harmonic current and harmonic phase.

[0074] In this step, a Fourier transform is performed on the current signal from the external power grid to extract specified harmonic components, which include harmonic currents and harmonic phases. For example, the specified harmonic component can be the 6k±1 (k≥1) order harmonic current component I. h5 I h7 I h11 I h13 ...and the corresponding harmonic current phase φh5, φ h7 φ h11 φ h13 ...where k is a natural number. Of course, other coordinate transformation methods can also be used to obtain the harmonic components of the current signal from the external power grid, and this disclosure does not impose any restrictions on this.

[0075] Figure 3 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 3 As shown, evaluating the energy storage system's ability to compensate for each harmonic component based on its capacity may include the following steps:

[0076] In step S301, the compensation capacity values ​​of each harmonic component of the external power grid are obtained.

[0077] In this step, the compensation capacity values ​​for each harmonic component of the external power grid are obtained. For example, the harmonic current amplitude of each harmonic component can be obtained first, then the reference voltage of the external power grid can be obtained, and then the compensation capacity values ​​for each harmonic component of the external power grid can be obtained based on the harmonic current amplitude and harmonic phase of each harmonic component.

[0078] In step S302, the energy storage system's ability to compensate for each harmonic component is evaluated based on the compensation capacity value of each harmonic component.

[0079] In this step, the compensation capacity of the energy storage system for each harmonic component is evaluated based on the compensation capacity value of each harmonic component. For example, the remaining compensation capacity of the energy storage system for each harmonic component can be obtained sequentially according to the harmonic order from low to high, and then the compensation capacity of the energy storage system for each harmonic component can be determined based on the remaining compensation capacity.

[0080] Figure 4 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 4 As shown, obtaining the compensation capacity values ​​for each harmonic component of the external power grid may include the following steps:

[0081] In step S3011, the harmonic current amplitude of each harmonic component is obtained.

[0082] In this step, the harmonic current amplitude I of each harmonic component is obtained. hn For example, the harmonic current amplitude I of each harmonic component. hn It can be obtained by performing a Fourier transform on the current signal of the external power grid.

[0083] In step S3012, the reference voltage of the external power grid is obtained.

[0084] In this step, the reference voltage U of the external power grid is obtained. b For example, the reference voltage U of the external power grid b It can be obtained through a voltage measuring instrument.

[0085] In step S3013, the compensation capacity value of each harmonic component of the external power grid is obtained based on the harmonic current amplitude and harmonic phase of each harmonic component.

[0086] In this step, based on the harmonic current amplitude I of each harmonic component... hn and the reference voltage U of the external power grid b Obtain the compensation capacity value S of each harmonic component of the external power grid. hn For example, the compensation capacity value S for each harmonic component of the external power grid. hn It can be obtained from the following formula:

[0087]

[0088] Where n = 6k ± 1, and k is a natural number.

[0089] Figure 5 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 5 As shown, evaluating the energy storage system's compensation capability for each harmonic component based on the compensation capacity value of each harmonic component may include the following steps:

[0090] In step S3021, the remaining compensation capacity of the energy storage system for each harmonic component is obtained sequentially according to the harmonic order from low to high.

[0091] In this step, the remaining compensation capacity of the energy storage system for each harmonic component is obtained sequentially according to the harmonic order from low to high. For example, the remaining compensation capacity for the fifth harmonic can be obtained first based on the nominal capacity and the operating capacity, and then the remaining compensation capacity for each of the other higher harmonic components can be obtained sequentially using a recursive method based on the nominal capacity and the remaining compensation capacity for the fifth harmonic.

[0092] In step S3022, the compensation capability of the energy storage system for each harmonic component is determined based on the remaining compensation capacity.

[0093] In this step, the compensation capability of the energy storage system for each harmonic component is determined based on the remaining compensation capacity. For example, if the remaining compensation capacity for a harmonic component is greater than or equal to the compensation capacity value of that harmonic component, it can be determined that the energy storage system has the capability to compensate for that harmonic component. If the remaining compensation capacity for a harmonic component is less than the compensation capacity value of that harmonic component, it can be determined that the energy storage system does not have the capability to compensate for that harmonic component.

[0094] Figure 6 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 6 As shown, the capacity of the energy storage system includes: nominal capacity and operating capacity. The step of sequentially obtaining the remaining compensation capacity of the energy storage system for each harmonic component may include the following steps:

[0095] In step S30211, the remaining compensation capacity for the fifth harmonic is obtained based on the nominal capacity and the operating capacity.

[0096] In this step, based on the nominal capacity S n and operating capacity S n1 Obtain the remaining compensation capacity S of the fifth harmonic. h5 For example, the residual compensation capacity S of the fifth harmonic. h5 ′ can be obtained by the following formula:

[0097]

[0098] In step S30212, based on the nominal capacity, the operating capacity, and the remaining compensation capacity of the fifth harmonic, the remaining compensation capacity of each higher harmonic component is obtained sequentially using a recursive method.

[0099] In this step, based on the nominal capacity S n Operating capacity S n1 The remaining compensation capacity S for the fifth harmonic h5Using a recursive method, the remaining compensation capacity of each higher harmonic component is obtained sequentially. For example, the remaining compensation capacity S of the seventh harmonic is... h7 The remaining compensation capacity S of the eleventh harmonic. h11 ′ can be obtained by the following formula:

[0100]

[0101] By analogy, the remaining compensation capacity for other higher harmonics can be obtained.

[0102] Figure 7 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 7 As shown, determining the compensation capability of the energy storage system for each harmonic component based on the remaining compensation capacity may include the following steps:

[0103] In step S30221, if the remaining compensation capacity of the harmonic component is greater than or equal to the compensation capacity value of the harmonic component, it is determined that the energy storage system has the ability to compensate for the harmonic component.

[0104] In this step, if the remaining compensation capacity for the harmonic components is greater than or equal to the compensation capacity value of the harmonic components, it is determined that the energy storage system has the capability to compensate for the harmonic components. For example, in the case of a remaining compensation capacity S for the seventh harmonic... h7 The compensation capacity S is greater than or equal to the seventh harmonic component of the external power grid. h7 At that time, it can be assumed that the energy storage system has the ability to compensate for the seventh harmonic component.

[0105] In step S30222, if the remaining compensation capacity of the harmonic component is less than the compensation capacity value of the harmonic component, it is determined that the energy storage system does not have the ability to compensate for the harmonic component.

[0106] In this step, if the remaining compensation capacity for the harmonic components is less than the compensation capacity value for the harmonic components, it is determined that the energy storage system lacks the ability to compensate for the harmonic components. For example, in the case of the remaining compensation capacity S for the seventh harmonic... h7 The compensation capacity value S is less than the seventh harmonic component of the external power grid. h7 In this case, it can be assumed that the energy storage system does not have the ability to compensate for the seventh harmonic component.

[0107] Figure 8 This is a flowchart illustrating a power quality optimization method for an energy storage system according to an exemplary embodiment. For example... Figure 8 As shown, the compensation for harmonic components of the current signal from the external power grid based on the compensation capability may include the following steps:

[0108] In step S401, the current amplitude and phase of the harmonic component with compensation capability are obtained.

[0109] In this step, the current amplitude I of the harmonic component with compensation capability is obtained. hn and phase φ hn .

[0110] In step S402, the current amplitude adjustment coefficient and phase adjustment coefficient of the harmonic component with compensation capability are obtained.

[0111] In this step, the current amplitude adjustment coefficient A for the harmonic components with compensation capability is obtained. n and phase adjustment coefficient φ n For example, the current amplitude adjustment coefficient A n and phase adjustment coefficient φ n This is the preset adjustment coefficient, current amplitude adjustment coefficient A. n The range is between 0 and 2, and the phase adjustment coefficient φ n The range is 0 to π.

[0112] In step S403, the three-phase compensation current value of the energy storage system for the harmonic component is obtained based on the current amplitude and phase of the harmonic component, as well as the current amplitude adjustment coefficient and phase adjustment coefficient.

[0113] In this step, based on the current amplitude I of the harmonic components... hn and phase φ hn and the current amplitude adjustment coefficient A n and phase adjustment coefficient φ n Obtain the three-phase compensation current value i of the energy storage system for harmonic components. na i nb and i nc For example, the three-phase compensation current value i na i nb and i nc It can be obtained from the following formula:

[0114] When n = 6k-1

[0115]

[0116] When n = 6k + 1

[0117]

[0118] In step S404, the harmonic components of the external power grid are compensated according to the three-phase compensation current values.

[0119] In this step, based on the three-phase compensation current value ina i nb and i nc This compensates for harmonic components of the external power grid. For example, this can be achieved by adjusting the current amplitude adjustment coefficient A. n and phase adjustment coefficient φ n The goal is to ensure that the amplitude and phase of the corresponding harmonic components of the external power grid are below the desired standard threshold.

[0120] In summary, this disclosure provides a method for optimizing the power quality of an energy storage system. The method includes: acquiring a current signal from an external power grid; analyzing the current signal to obtain its harmonic components; evaluating the compensation capability of the energy storage system for these harmonic components based on its capacity; and compensating for the harmonic components of the external power grid's current signal based on the compensation capability. This disclosure enables the energy storage system to compensate for the harmonic components of the external power grid's current, thereby reducing the harmonic components and optimizing the power quality of the external power grid.

[0121] Figure 9 This is a block diagram illustrating a power quality optimization device for an energy storage system according to an exemplary embodiment. Figure 9 As shown in the figure, this disclosure provides an energy storage system power quality optimization device 900, which may include the following modules:

[0122] The first acquisition module 910 is used to acquire the current signal of the external power grid.

[0123] The second acquisition module 920 is used to analyze the current signal of the external power grid and acquire the harmonic components of the external power grid.

[0124] Evaluation module 930 is used to evaluate the energy storage system's ability to compensate for each harmonic component based on the energy storage system's capacity.

[0125] The compensation module 940 is used to compensate for the harmonic components of the external power grid according to the compensation capability.

[0126] Optionally, the second acquisition module 920 is further configured to:

[0127] Perform a Fourier transform on the current signal of the external power grid to extract the specified harmonic components, which include harmonic current and harmonic phase.

[0128] Optionally, the evaluation module 930 is further configured to:

[0129] Obtain the compensation capacity values ​​for each harmonic component of the external power grid;

[0130] The energy storage system's ability to compensate for each harmonic component is evaluated based on the compensation capacity value of each harmonic component.

[0131] Optionally, the evaluation module 930 is further configured to:

[0132] Obtain the harmonic current amplitude of each harmonic component;

[0133] Obtain the reference voltage of the external power grid;

[0134] Based on the harmonic current amplitude of each harmonic component and the reference voltage, the compensation capacity value of each harmonic component of the external power grid is obtained.

[0135] Optionally, the evaluation module 930 is further configured to:

[0136] The remaining compensation capacity of the energy storage system for each harmonic component is obtained sequentially according to the harmonic order from low to high.

[0137] Based on the remaining compensation capacity, the compensation capability of the energy storage system for each harmonic component is determined.

[0138] Optionally, the capacity of the energy storage system includes: nominal capacity and operating capacity, and the evaluation module 930 is further used for:

[0139] Based on the nominal capacity and the operating capacity, obtain the remaining compensation capacity for the fifth harmonic;

[0140] Based on the nominal capacity, the operating capacity, and the remaining compensation capacity of the fifth harmonic, the remaining compensation capacity of each higher harmonic component is obtained sequentially using a recursive method.

[0141] Optionally, the evaluation module 930 is further configured to:

[0142] If the remaining compensation capacity of the harmonic component is greater than or equal to the compensation capacity value of the harmonic component, it is determined that the energy storage system has the ability to compensate for the harmonic component.

[0143] If the remaining compensation capacity of the harmonic component is less than the compensation capacity value of the harmonic component, it is determined that the energy storage system does not have the ability to compensate for the harmonic component.

[0144] Optionally, the compensation module 940 is further configured to:

[0145] Obtain the current amplitude and phase of the harmonic component with compensation capability;

[0146] Obtain the current amplitude adjustment coefficient and phase adjustment coefficient of the harmonic component with compensation capability;

[0147] Based on the current amplitude and phase of the harmonic components, as well as the current amplitude adjustment coefficient and phase adjustment coefficient, the three-phase compensation current value of the energy storage system for the harmonic components is obtained.

[0148] The harmonic components of the external power grid are compensated based on the three-phase compensation current values.

[0149] In summary, this disclosure provides a power quality optimization device for an energy storage system. The device includes: a first acquisition module for acquiring a current signal from an external power grid; a second acquisition module for analyzing the current signal from the external power grid to acquire its harmonic components; an evaluation module for evaluating the compensation capability of the energy storage system for the harmonic components based on its capacity; and a compensation module for compensating the harmonic components of the external power grid based on the compensation capability. This disclosure enables the energy storage system to compensate for the current harmonic components of the external power grid, thereby reducing the current harmonic components and optimizing the power quality of the external power grid.

[0150] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0151] Figure 10 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Figure 10 As shown, the electronic device 1000 may include: a processor 1001 and a memory 1002. The electronic device 1000 may also include one or more of a multimedia component 1003, an input / output (I / O) interface 1004, and a communication component 1005.

[0152] The processor 1001 controls the overall operation of the electronic device 1000 to complete all or part of the steps in the aforementioned energy storage system power quality optimization method. The memory 1002 stores various types of data to support the operation of the electronic device 1000. This data may include, for example, instructions for any application or method operating on the electronic device 1000, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 1002 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Multimedia component 1003 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 1002 or transmitted via communication component 1005. The audio component also includes at least one speaker for outputting audio signals. I / O interface 1004 provides an interface between processor 1001 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 1005 is used for wired or wireless communication between the electronic device 1000 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IoT, eMTC, or other 5G technologies, or combinations thereof, is not limited here. Therefore, the corresponding communication component 1005 may include: a Wi-Fi module, a Bluetooth module, an NFC module, etc.

[0153] In an exemplary embodiment, the electronic device 1000 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described energy storage system power quality optimization method.

[0154] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the energy storage system power quality optimization method described above. For example, the computer-readable storage medium may be the memory 1002 including program instructions described above, which may be executed by the processor 1001 of the electronic device 1000 to complete the energy storage system power quality optimization method described above.

[0155] In another exemplary embodiment, a computer program product is also provided, which includes a computer program executable by a programmable device, the computer program having a code portion for performing the above-described energy storage system power quality optimization method when executed by the programmable device.

[0156] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0157] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0158] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method for optimizing power quality in an energy storage system, characterized in that, The method includes: Acquire the current signal from the external power grid; The current signal of the external power grid is analyzed to obtain the harmonic components of the current signal of the external power grid. Based on the capacity of the energy storage system, assess the energy storage system's ability to compensate for each harmonic component; The harmonic components of the current signal of the external power grid are compensated according to the compensation capability.

2. The method according to claim 1, characterized in that, The step of analyzing the current signal of the external power grid to obtain the harmonic components of the current signal of the external power grid includes: Perform a Fourier transform on the current signal of the external power grid to extract the specified harmonic components, which include harmonic current and harmonic phase.

3. The method according to claim 1, characterized in that, The assessment of the energy storage system's ability to compensate for each harmonic component based on its capacity includes: Obtain the compensation capacity values ​​for each harmonic component of the external power grid; The energy storage system's ability to compensate for each harmonic component is evaluated based on the compensation capacity value of each harmonic component.

4. The method according to claim 3, characterized in that, The process of obtaining the compensation capacity values ​​for each harmonic component of the external power grid includes: Obtain the harmonic current amplitude of each harmonic component; Obtain the reference voltage of the external power grid; Based on the harmonic current amplitude of each harmonic component and the reference voltage, the compensation capacity value of each harmonic component of the external power grid is obtained.

5. The method according to claim 3, characterized in that, The step of evaluating the energy storage system's compensation capability for each harmonic component based on the compensation capacity value of each harmonic component includes: The remaining compensation capacity of the energy storage system for each harmonic component is obtained sequentially according to the harmonic order from low to high. Based on the remaining compensation capacity, the compensation capability of the energy storage system for each harmonic component is determined.

6. The method according to claim 5, characterized in that, The capacity of the energy storage system includes: nominal capacity and operating capacity. The step of sequentially obtaining the remaining compensation capacity of the energy storage system for each harmonic component includes: Based on the nominal capacity and the operating capacity, obtain the remaining compensation capacity for the fifth harmonic; Based on the nominal capacity, the operating capacity, and the remaining compensation capacity of the fifth harmonic, the remaining compensation capacity of each higher harmonic component is obtained sequentially using a recursive method.

7. The method according to claim 5, characterized in that, Determining the compensation capability of the energy storage system for each harmonic component based on the remaining compensation capacity includes: If the remaining compensation capacity of the harmonic component is greater than or equal to the compensation capacity value of the harmonic component, it is determined that the energy storage system has the ability to compensate for the harmonic component. If the remaining compensation capacity of the harmonic component is less than the compensation capacity value of the harmonic component, it is determined that the energy storage system does not have the ability to compensate for the harmonic component.

8. The method according to claim 1, characterized in that, The compensation of harmonic components of the current signal of the external power grid based on the compensation capability includes: Obtain the current amplitude and phase of the harmonic component with compensation capability; Obtain the current amplitude adjustment coefficient and phase adjustment coefficient of the harmonic component with compensation capability; Based on the current amplitude and phase of the harmonic components, as well as the current amplitude adjustment coefficient and phase adjustment coefficient, the three-phase compensation current value of the energy storage system for the harmonic components is obtained. The harmonic components of the external power grid are compensated based on the three-phase compensation current values.

9. A power quality optimization device for an energy storage system, characterized in that, The device includes: The first acquisition module is used to acquire the current signal of the external power grid; The second acquisition module is used to analyze the current signal of the external power grid and acquire the harmonic components of the external power grid. An evaluation module is used to evaluate the energy storage system's ability to compensate for each harmonic component based on the system's capacity. The compensation module is used to compensate for the harmonic components of the external power grid according to the compensation capability.

10. An electronic device, characterized in that, include: A memory on which computer programs are stored; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-8.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method described in any one of claims 1-8.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1-8.

Images