A primary frequency modulation online regulation system and method
Patent Information
- Application Number
- CN202311622146.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-30
- Publication Date
- 2026-09-22
- Estimated Expiration
- 2043-11-30
AI Technical Summary
[0003]本发明的目的在于提供一种一次调频在线调控系统系统和方法,用以解决适用于功率型储能装置的一次调频在线调控问题
[0014]本发明通过一次调频子站综合分析系统频率偏差值和储能装置荷电状态,利用功率型储能装置弥补新能源发电厂站调频能力不足的问题,在保证储能装置工作性能和使用寿命的基础上,实现对电网频率波动的快速一次调频功能。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of power system control equipment technology, and in particular, to a primary frequency regulation online control system and method. Background Technology
[0002] New power systems with a high proportion of renewable energy have broad prospects. However, on the one hand, the volatility and intermittency of renewable energy output make it difficult for the grid to maintain power balance when renewable energy is integrated into the grid on a large scale, resulting in system frequency fluctuations and posing safety hazards to the safe and stable operation of the grid. On the other hand, renewable energy units are mostly connected to the grid through power electronic conversion devices, and their physical inertia is decoupled from the grid frequency, resulting in renewable energy units lacking the inertial response capability of traditional units. Therefore, addressing the problem of insufficient frequency regulation capability in new power systems with a high proportion of renewable energy, utilizing power-type energy storage devices with fast response capabilities to assist renewable energy generating units in primary frequency regulation, and monitoring the grid frequency in real time, is of great significance for maintaining the safe and stable operation of the grid and promoting the development of new power systems. Summary of the Invention
[0003] The purpose of this invention is to provide a primary frequency regulation online control system and method to solve the problem of primary frequency regulation online control applicable to power-type energy storage devices.
[0004] To achieve the above objectives, the present invention provides a primary frequency regulation online control system. This system includes a primary frequency regulation substation, a dispatch data network, and a primary frequency regulation master station. The primary frequency regulation substation includes: a signal acquisition unit for acquiring characteristic electrical parameters of the power plant's grid connection point, including voltage, current, frequency, and the state of charge (SOC) of the power plant's power storage device; a central processing unit for calculating the frequency regulation control parameters based on the characteristic electrical parameters; and a communication management unit for uploading the frequency regulation control parameters to the dispatch data network. The dispatch data network transmits the frequency regulation control parameters to the primary frequency regulation master station. The primary frequency regulation master station regulates the charging and discharging of the power storage device within the power plant based on the frequency regulation control parameters to achieve primary frequency regulation of the power grid.
[0005] Preferably, the central processing unit calculates the frequency regulation control parameters by calculating the output of the power storage device within the power plant; the output of the power storage device is calculated using the following formula: Wherein, ΔP sto This represents the output of a power-type energy storage device, where α1 is the first weighting coefficient, α2 is the second weighting coefficient, and K... B M is the droop control factor. BΔf is the virtual inertia coefficient, and Δf is the system frequency deviation. The first weighting coefficient, the second weighting coefficient, the droop control coefficient, and the virtual inertia coefficient are preset constants, and the system frequency deviation is calculated based on the characteristic electrical parameters.
[0006] Preferably, the droop control coefficient K B The calculation includes: when the power-type energy storage device is in a charging state, the droop control coefficient K B The calculation method is as follows: When the power-type energy storage device is in a discharging state, the droop control coefficient K B The calculation method is as follows: Among them, K B.max SOC is the maximum value of the droop control coefficient. min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge is defined as follows: the maximum value of the droop control coefficient, the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
[0007] Preferably, the system frequency deviation Δf satisfies 0 ≤ |Δf| ≤ Δf death In the event that the power-type energy storage device enters the recovery phase, the charging and discharging current of the power-type energy storage device is as follows: Among them, I sto I is the charging and discharging current of the power-type energy storage device during the recovery phase. sto.max The rated operating current of the power-type energy storage device is SOC. min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge is defined as follows: the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
[0008] Preferably, the first weighting coefficient α1 and the second weighting coefficient α2 are set in the following manner: when the system frequency deviation Δf satisfies Δf death ≤|Δf|≤2Δf death In the case where the first weighting coefficient α1 is a first constant value and the second weighting coefficient α2 is a second constant value; and the system frequency deviation Δf satisfies |Δf|>2Δf deathIn this case, the first weighting coefficient α1 is a third constant value, and the second weighting coefficient α2 is a fourth constant value; wherein, the first constant value is less than the third constant value, and the second constant value is greater than the fourth constant value, and the Δf death The system frequency deviation dead zone can be set according to the power grid frequency security requirements. In this embodiment, Δf death =0.033Hz.
[0009] Accordingly, the present invention also provides a primary frequency regulation online control method, the method comprising: collecting characteristic electrical parameters of the power plant grid connection point, the characteristic electrical parameters including the voltage, current, frequency of the power plant grid connection point and the state of charge (SOC) of the power storage device of the power plant; calculating the frequency regulation control parameters based on the characteristic electrical parameters; and regulating the charging and discharging of the power storage device in the power plant according to the frequency regulation control parameters, so as to realize the primary frequency regulation of the power grid.
[0010] Preferably, the calculation of the frequency regulation control parameters includes calculating the output of the power storage device within the power plant; the output of the power storage device is calculated using the following formula: Wherein, ΔP sto This represents the output of a power-type energy storage device, where α1 is the first weighting coefficient, α2 is the second weighting coefficient, and K... B M is the droop control factor. B Δf is the virtual inertia coefficient, and Δf is the system frequency deviation. The first weighting coefficient, the second weighting coefficient, the droop control coefficient, and the virtual inertia coefficient are preset constants, and the system frequency deviation is calculated based on the characteristic electrical parameters.
[0011] Preferably, the droop control coefficient K B The calculation includes: when the power-type energy storage device is in a charging state, the droop control coefficient K B The calculation method is as follows: When the power-type energy storage device is in a discharging state, the droop control coefficient K B The calculation method is as follows: Among them, K B.max SOC is the maximum value of the droop control coefficient. min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge is defined as follows: the maximum value of the droop control coefficient, the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
[0012] Preferably, the system frequency deviation Δf satisfies 0 ≤ |Δf| ≤ Δf death In the event that the power-type energy storage device enters the recovery phase, the charging and discharging current of the power-type energy storage device is as follows: Among them, I sto I is the charging and discharging current of the power-type energy storage device during the recovery phase. sto.max The rated operating current of the power-type energy storage device is SOC. min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge is defined as follows: the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
[0013] Preferably, the first weighting coefficient α1 and the second weighting coefficient α2 are set in the following manner: when the system frequency deviation Δf satisfies Δf death ≤|Δf|≤2Δf death In the case where the first weighting coefficient α1 is a first constant value and the second weighting coefficient α2 is a second constant value; and the system frequency deviation Δf satisfies |Δf|>2Δf death In this case, the first weighting coefficient α1 is a third constant value, and the second weighting coefficient α2 is a fourth constant value; wherein, the first constant value is less than the third constant value, and the second constant value is greater than the fourth constant value, and the Δf death The system frequency deviation dead zone, and Δf death =0.033Hz.
[0014] This invention comprehensively analyzes the system frequency deviation value and the state of charge of the energy storage device through a primary frequency regulation substation. It uses a power-type energy storage device to compensate for the insufficient frequency regulation capability of new energy power plants. While ensuring the working performance and service life of the energy storage device, it realizes the function of rapid primary frequency regulation of grid frequency fluctuations. Attached Figure Description
[0015] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:
[0016] Figure 1 This is a block diagram of the online frequency modulation control system provided by the present invention.
[0017] Figure 2This is a control principle diagram of a power-type energy storage device in a power plant provided in an embodiment of the present invention.
[0018] Figure 3 This is a flowchart of the operation of online frequency modulation control provided in an embodiment of the present invention.
[0019] Figure 4 This is a flowchart of the online frequency modulation control method provided by the present invention. Detailed Implementation
[0020] The specific embodiments of the present invention 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 the scope of the present invention.
[0021] Figure 1 This is a block diagram of the primary frequency modulation online control system provided by the present invention, as shown below. Figure 1 As shown, the system includes a primary frequency regulation substation 10, a dispatch data network 20, and a primary frequency regulation master station 30. The primary frequency regulation substation 10 includes a signal acquisition unit 101, a central processing unit 102, and a communication management unit 103. The signal acquisition unit 101 is used to acquire characteristic electrical parameters of the power plant 40's grid connection point, including the voltage, current, frequency, and state of charge (SOC) of the power plant's power storage device. The central processing unit 102 is used to calculate frequency regulation control parameters based on the characteristic electrical parameters. The communication management unit 103 is used to upload the frequency regulation control parameters to the dispatch data network. The dispatch data network 20 is used to transmit the frequency regulation control parameters to the primary frequency regulation master station. The primary frequency regulation master station 30 is used to regulate the charging and discharging of the power storage device within the power plant according to the frequency regulation control parameters, thereby achieving primary frequency regulation of the power grid.
[0022] The signal acquisition unit 101 acquires characteristic electrical parameters of the power plant's grid connection point and transmits them to the central processing unit 102. The central processing unit 102 optimizes the primary frequency regulation control coefficient by comprehensively analyzing the characteristic electrical parameters (including voltage, current, frequency, and the state of charge (SOC) of the power-type energy storage device) input by the signal acquisition unit 101, and transmits the relevant frequency regulation commands, including the primary frequency regulation control coefficients, to the communication management unit 103. The communication management unit 103 is used to upload the frequency regulation commands to the dispatch data network 20 and download the state of charge (SOC) of the power-type energy storage device of the power plant 40 from the dispatch data network 20. SOC = current stored energy of the energy storage device / rated stored energy.
[0023] The dispatch data network 20 is the medium for information exchange and command transmission between the primary frequency modulation substation 10 and the primary frequency modulation master station 30, including transmitting frequency modulation control parameters from the primary frequency modulation substation 10 to the primary frequency modulation master station 30.
[0024] The primary frequency regulation master station 30 regulates the charging and discharging of the power type energy storage device in the power plant station 40 according to the frequency regulation command of the dispatch data network 20, thereby realizing the primary frequency regulation of the power grid. At the same time, the primary frequency regulation master station 30 can also upload the state of charge (SOC) of the power type energy storage device to the dispatch data network 20.
[0025] like Figure 1 As shown, the primary frequency modulation substation 10 may also include a human-machine interaction unit 104 and a clock calibration unit 105. The human-machine interaction unit 104 is used for human-machine interaction including LCD display, data setting, status monitoring, and data monitoring. The clock calibration unit 105 is used to obtain a time-delay-free clock source signal through GPS or Beidou satellite technology and synchronize it to the primary frequency modulation substation 10, the dispatch data network 20, and the primary frequency modulation master station 30.
[0026] The central processing unit 102 of the primary frequency regulation substation 10 calculates the frequency regulation control parameters, including the output of the power storage device within the power plant 40. The output of the power storage device is calculated using the following formula:
[0027]
[0028] In formula (1), ΔP sto This represents the output of a power-type energy storage device, where α1 is the first weighting coefficient, α2 is the second weighting coefficient, and K... B M is the droop control factor. B Let M be the virtual inertia coefficient, and Δf be the system frequency deviation. The first weighting coefficient, second weighting coefficient, droop control coefficient, and virtual inertia coefficient are pre-set constants. The system frequency deviation is calculated based on characteristic electrical parameters. The first weighting coefficient α1, the second weighting coefficient α2, and the virtual inertia coefficient M... B The setpoints can be preset according to the actual power grid configuration, or they can be updated in real time during the primary frequency regulation control process using intelligent algorithms.
[0029] The droop control coefficient K in formula (1) B The calculation can be performed in the following ways:
[0030] When the power-type energy storage device is in a charging state, the droop control coefficient K B The calculation method is as follows:
[0031]
[0032] When the power-type energy storage device is in a discharging state, the droop control coefficient K B The calculation method is as follows:
[0033]
[0034] In formulas (2) and (3), K B.max SOC is the maximum value of the droop control coefficient. min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge, where the maximum value of the droop control coefficient K B.max Minimum State of Charge (SOC) min Low expected state of charge (SOC) low High expected state of charge (SOC) high and the maximum state of charge (SOC) max A pre-defined constant.
[0035] Maximum State of Charge (SOC) max The state of charge (SOC) refers to the maximum proportion of energy stored in a power-type energy storage device during charging and discharging, relative to the device's rated energy. min This refers to the minimum percentage of energy stored in a power-type energy storage device during its charge and discharge states relative to its rated energy. Once the stored energy exceeds the maximum state of charge (SOC), the device's energy storage capacity is reduced. max Or below the minimum state of charge (SOC) min In this state, power-type energy storage devices will be in an overcharge / discharge condition, which will severely impact their lifespan and prevent them from charging and discharging. The expected state of charge (SOC) is the optimal operating range (i.e., the lowest expected SOC) set to maximize the lifespan and performance of power-type energy storage devices. low High expected state of charge (SOC) high (The range constituted), once this range is exceeded, the charging and discharging of the energy storage device needs to be adjusted.
[0036] Minimum State of Charge (SOC) min Maximum State of Charge (SOC) max Low expected state of charge (SOC) low and high expected state of charge (SOC) high These are constants preset according to actual conditions, such as the minimum state of charge (SOC). min It can be set to 0.1, the maximum state of charge (SOC). max It can be set to 0.9, which is the low expected value of the state of charge (SOC). low It can be set to 0.3, which is the higher expected value of the state of charge (SOC). high It can be set to 0.7.
[0037] Figure 2 This is a control principle diagram of a power-type energy storage device within a power plant, provided in an embodiment of the present invention. Figure 2 As shown, when the system frequency deviation Δf is in the system frequency deviation dead zone Δf death Under normal circumstances, power-type energy storage devices are in a recovery state and can utilize the remaining frequency regulation capacity of the power grid for charging and discharging, thus maintaining the state of charge within a reasonable range. For example... Figure 2 As shown, in SOC high When SOC ≤ 1, the power-type energy storage device is in a discharging state to reduce the SOC value; when 0 ≤ SOC ≤ SOC low In this case, the power-type energy storage device is in a charging state to increase the SOC value.
[0038] More specifically, in the system frequency deviation Δf within the system frequency deviation dead zone Δf death Within, that is, satisfying 0≤|Δf|≤Δf death In the case of a power-type energy storage device entering the recovery phase, the charging and discharging current of the power-type energy storage device is as follows:
[0039]
[0040] In formula (4), I sto I represents the charging and discharging current of a power-type energy storage device during the recovery phase. sto.max The rated operating current of the power-type energy storage device, SOC min The minimum state of charge (SOC) low For a low expected value of state of charge, SOC high For a high expected value of state of charge, SOC max The maximum value of the state of charge is given by the maximum value of the state of charge. The minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants. The specific process of taking these values has been described above and will not be elaborated here.
[0041] The setting method for the first weighting coefficient α1 and the second weighting coefficient α2 can include: when the system frequency deviation Δf satisfies Δf death ≤|Δf|≤2Δf death In this case, the first weighting coefficient α1 is a first constant value, and the second weighting coefficient α2 is a second constant value; when the system frequency deviation Δf satisfies |Δf|>2Δf death In this case, the first weighting coefficient α1 is the third constant value, and the second weighting coefficient α2 is the fourth constant value; wherein, the first constant value is less than the third constant value, the second constant value is greater than the fourth constant value, and Δfdeath is the system frequency deviation dead zone, and Δf death =0.033Hz.
[0042] In other words, in Δf death ≤|Δf|≤2Δf deathIn cases where frequency degradation is not severe, the value of α1 can be set relatively small, and the value of α2 can be set relatively large to prevent further frequency degradation caused by sudden load switching; when |Δf|>2Δf death In such cases, the frequency deteriorates significantly, and the droop control frequency modulation effect is remarkable. The value of α1 can be set to be larger, and the value of α2 can be set to be smaller to give full play to the rapid response capability of virtual inertial control.
[0043] Figure 3 This is a flowchart of the operation of online frequency modulation control provided in an embodiment of the present invention, as shown below. Figure 3 As shown, the process is as follows:
[0044] In step S301, the signal acquisition unit 101 of the primary frequency modulation substation 10 acquires the characteristic electrical parameters of the grid connection point of the power plant station 40 through voltage transformers and current transformers and transmits them to the central processing unit 102.
[0045] In step S302, the central processing unit 102 uses characteristic electrical parameters to determine whether the system frequency deviation Δf of the power system has fallen out of the system frequency deviation dead zone Δf. death If the judgment result is yes, proceed to step S303; if the judgment result is no, proceed to step S310.
[0046] Step S303: The power-type energy storage device is in operation.
[0047] In step S304, the central processing unit 102 calculates the system frequency deviation Δf, i.e., the frequency deviation value, based on the characteristic electrical parameters.
[0048] In step S305, the central processing unit 102 downloads the state of charge (SOC) of the power-type energy storage device from the dispatch data network 20 via the communication management unit 103;
[0049] Step S306: The central processing unit 102 comprehensively analyzes the system frequency deviation Δf and the state of charge (SOC) of the power-type energy storage device, and calculates the frequency regulation control parameters, i.e., optimizes the frequency regulation coefficient value.
[0050] Step S307: Upload the frequency modulation control parameters to the dispatch data network 20 through the communication management unit 103;
[0051] In step S308, the primary frequency regulation master station 30 receives the frequency regulation control parameters from the dispatch data network 20 and acts according to the received frequency regulation control parameters to realize primary frequency regulation. At the same time, the primary frequency regulation master station 30 transmits the state of charge of the power type energy storage device to the dispatch data network 20 in real time and then transmits it to the primary frequency regulation substation 10.
[0052] Step S309: The central processing unit 102 of the primary frequency regulation substation 10 determines whether the system frequency deviation Δf of the power system has recovered to the system frequency deviation dead zone Δf. death Within this context, it is determined whether the system frequency deviation Δf satisfies 0 ≤ |Δf| ≤ Δf. death If the judgment result is yes, the process ends; otherwise, proceed to steps S304 and S305.
[0053] Step S310, primary frequency modulation lockout;
[0054] Step S311: The power-type energy storage device is in a recovery state;
[0055] Step S312: Determine whether the state of charge (SOC) of the power-type energy storage device satisfies 0 ≤ SOC ≤ SOC low If the judgment result is yes, proceed to step S313; if the judgment result is no, proceed to step S314.
[0056] Step S313: The power-type energy storage device is in a charging state;
[0057] Step S314: Determine whether the State of Charge (SOC) of the power-type energy storage device meets the SOC requirement. high If the SOC ≤ 1, proceed to step S315 if the result is yes, and end the process if the result is no.
[0058] Step S315: The power-type energy storage device is in a discharging state;
[0059] Step S316: Determine whether the State of Charge (SOC) of the power-type energy storage device meets the SOC requirement. low ≤SOC≤SOC high If the judgment result is yes, the process ends; if the judgment result is no, proceed to step S312.
[0060] Figure 4 This is a flowchart of the online frequency modulation control method provided by the present invention, as follows: Figure 4 As shown, the method includes:
[0061] Step S401: Collect characteristic electrical parameters of the power plant grid connection point. The characteristic electrical parameters include the voltage, current, frequency of the power plant grid connection point and the state of charge (SOC) of the power plant power storage device.
[0062] Step S402: Calculate the frequency modulation control parameters based on the characteristic electrical parameters;
[0063] Step S403: Adjust the charging and discharging of the power storage device in the power plant according to the frequency regulation control parameters to achieve primary frequency regulation of the power grid.
[0064] It should be noted that the specific details and benefits of the primary frequency modulation online control method provided by the present invention are similar to those of the primary frequency modulation online control system provided by the present invention, and will not be repeated here.
[0065] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention.
[0066] The technical solution provided by this invention can achieve the following beneficial effects:
[0067] (1) Power-type energy storage devices have a fast response capability. In new energy power plants, the output of power-type energy storage devices can be used to quickly adjust the frequency fluctuation of the power grid, make up for the problem of insufficient frequency regulation capability caused by the high randomness and volatility of new energy output and the high degree of power electronics in the new power system, improve the power supply quality of the power grid, and maintain the safe and stable operation of the power grid.
[0068] (2) The dispatching instructions of the primary frequency regulation substation realize the coupled analysis of the grid frequency deviation value and the state of charge of the power energy storage device. The control of the state of charge avoids the overcharging and discharging of the power energy storage device and provides more frequency regulation capacity. This not only helps to improve the effect and capability of primary frequency regulation, but also extends the service life of the power energy storage device and reduces the operation and maintenance costs.
[0069] (3) The primary frequency modulation master station and the primary frequency modulation substation achieve data interconnection through the scheduling data network, forming a feedback mechanism in the entire system. This enables the primary frequency modulation substation to comprehensively analyze the system's operating status, ensuring the safe and stable operation of the system.
[0070] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.
[0071] Furthermore, various different implementations of the present invention can be combined arbitrarily, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed in the present invention.
Claims
1. A primary frequency modulation online control system, characterized in that, The system includes a primary frequency regulation substation, a dispatch data network, and a primary frequency regulation master station, wherein: The primary frequency modulation substation includes: The signal acquisition unit is used to acquire characteristic electrical parameters of the power plant grid connection point, including the voltage, current, frequency of the power plant grid connection point and the state of charge (SOC) of the power storage device of the power plant. Central processing unit, configured to calculate frequency modulation control parameters based on the characteristic electrical parameters; and A communication management unit is used to upload the frequency modulation control parameters to the scheduling data network; The scheduling data network is used to transmit the frequency modulation control parameters to the primary frequency modulation master station; and The primary frequency regulation master station is used to regulate the charging and discharging of power-type energy storage devices within the power plant according to the frequency regulation control parameters, so as to achieve primary frequency regulation of the power grid. The central processing unit calculates the frequency regulation control parameters, including calculating the output of the power storage device in the power plant. The output of the power-type energy storage device is calculated using the following formula: ; in, Indicates the output of a power-type energy storage device. The first weighting coefficient, This is the second weighting coefficient. This is the droop control coefficient. For virtual inertia coefficients, The system frequency deviation is defined as follows: the first weighting coefficient, the second weighting coefficient, the droop control coefficient, and the virtual inertia coefficient are preset constants; the system frequency deviation is calculated based on the characteristic electrical parameters. And therein, the droop control coefficient The calculations include: When the power-type energy storage device is in a charging state, the droop control coefficient The calculation method is as follows: ; When the power-type energy storage device is in a discharging state, the droop control coefficient The calculation method is as follows: ; in, This represents the maximum value of the droop control coefficient. This is the minimum state of charge. For a low expected value of the state of charge, For a high expected value of the state of charge, The maximum value of the state of charge is defined as follows: the maximum value of the droop control coefficient, the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
2. The primary frequency modulation online control system according to claim 1, characterized in that, In the system frequency deviation satisfy In the event that the power-type energy storage device enters the recovery phase, the charging and discharging current of the power-type energy storage device is as follows: ; in, This refers to the charging and discharging current of the power-type energy storage device during the recovery phase. This refers to the rated operating current of the power-type energy storage device. This is the minimum state of charge. For a low expected value of the state of charge, For a high expected value of the state of charge, The maximum value of the state of charge (SOC) is defined as follows: where the minimum SOC, the low expected SOC, the high expected SOC, and the maximum SOC are preset constants. This is the dead zone of the system frequency deviation, and =0.033Hz.
3. The primary frequency modulation online control system according to claim 1, characterized in that, First weighting coefficient and the second weighting coefficient The setup methods include: In the system frequency deviation satisfy In the case of the first weighting coefficient The first constant value, the second weighting coefficient It is the second constant value; In the system frequency deviation satisfy In the case of the first weighting coefficient The third constant value, the second weighting coefficient It is the fourth constant value; Wherein, the first constant value is less than the third constant value, the second constant value is greater than the fourth constant value, and the... This is the dead zone of the system frequency deviation, and =0.033Hz.
4. A method for online frequency modulation control, characterized in that, This method relates to the primary frequency modulation online control system as described in claim 1, and the method includes: Collect characteristic electrical parameters of the power plant grid connection point, including the voltage, current, frequency of the power plant grid connection point and the state of charge (SOC) of the power storage device at the power plant. The frequency modulation control parameters are calculated based on the characteristic electrical parameters; and The charging and discharging of power storage devices in power plants are regulated according to the frequency regulation control parameters to achieve primary frequency regulation of the power grid.
5. The online frequency modulation control method according to claim 4, characterized in that, The calculation of the frequency regulation control parameters includes calculating the output of the power storage device in the power plant. The output of the power-type energy storage device is calculated using the following formula: ; in, Indicates the output of a power-type energy storage device. The first weighting coefficient, This is the second weighting coefficient. This is the droop control coefficient. For virtual inertia coefficients, The system frequency deviation is defined as follows: the first weighting coefficient, the second weighting coefficient, the droop control coefficient, and the virtual inertia coefficient are preset constants, and the system frequency deviation is calculated based on the characteristic electrical parameters.
6. The online frequency modulation control method according to claim 5, characterized in that, The droop control coefficient The calculations include: When the power-type energy storage device is in a charging state, the droop control coefficient The calculation method is as follows: ; When the power-type energy storage device is in a discharging state, the droop control coefficient The calculation method is as follows: ; in, This represents the maximum value of the droop control coefficient. This is the minimum state of charge. For a low expected value of the state of charge, For a high expected value of the state of charge, The maximum value of the state of charge is defined as follows: the maximum value of the droop control coefficient, the minimum value of the state of charge, the low expected value of the state of charge, the high expected value of the state of charge, and the maximum value of the state of charge are preset constants.
7. The online frequency modulation control method according to claim 5, characterized in that, In the system frequency deviation satisfy In the event that the power-type energy storage device enters the recovery phase, the charging and discharging current of the power-type energy storage device is as follows: ; in, This refers to the charging and discharging current of the power-type energy storage device during the recovery phase. This refers to the rated operating current of the power-type energy storage device. This is the minimum state of charge. For a low expected value of the state of charge, For a high expected value of the state of charge, The maximum value of the state of charge (SOC) is defined as follows: where the minimum SOC, the low expected SOC, the high expected SOC, and the maximum SOC are preset constants. This is the dead zone of the system frequency deviation, and =0.033Hz.
8. The online frequency modulation control method according to claim 5, characterized in that, First weighting coefficient and the second weighting coefficient The setup methods include: In the system frequency deviation satisfy In the case of the first weighting coefficient The first constant value, the second weighting coefficient It is the second constant value; In the system frequency deviation satisfy In the case of the first weighting coefficient The third constant value, the second weighting coefficient It is the fourth constant value; Wherein, the first constant value is less than the third constant value, the second constant value is greater than the fourth constant value, and the... This is the dead zone of the system frequency deviation, and =0.033Hz.
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