Power grid frequency-voltage coupling support demand quantification method, device, equipment and medium

Abstract

The invention relates to the technical field of power system analysis, in particular to a power grid frequency-voltage coupling support demand quantification method, device and equipment and a medium, and the method comprises the steps: obtaining the frequency and voltage real-time data of a power grid monitoring point; calculating a voltage state sensing quantitative index and a voltage change trend index; quantifying the power grid voltage support demand, and calculating a voltage support demand quantitative index; calculating a frequency state sensing quantitative index and a frequency change trend index; quantifying a power grid frequency support demand, and calculating a frequency support demand quantitative index; and calculating a power grid frequency-voltage coupling support demand quantitative index according to the voltage support demand quantitative index and the frequency support demand quantitative index in combination with the coupling relationship between the voltage and the frequency. The method can comprehensively consider the disturbance amplitude, the duration time and the change trend, realizes power grid frequency-voltage coupling support demand quantification, and improves the power grid frequency-voltage coupling support demand quantification. A power system is helped to accurately adjust a control strategy and the operation efficiency of a power grid is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system analysis, and particularly relates to a method, device, equipment and medium for quantifying the grid frequency-voltage coupling support requirements. Background Art

[0002] Traditional power systems will gradually transform into high-proportion new energy systems. With the gradual increase in the penetration rate of new energy, due to the randomness and volatility of new energy such as wind and light, while improving the energy structure, new challenges are also posed to the power grid. The inertia strength and support capacity of the power system are gradually weakening, there are frequency-voltage coupling problems when serious faults occur in the system, and the frequency and voltage coupling support requirements are becoming increasingly prominent. In order to support the design of control strategies for system frequency regulation and voltage regulation resources, it is imperative to propose a method for quantifying the grid frequency-voltage coupling support requirements.

[0003] Currently, for the research on quantifying the grid frequency and voltage support requirements, there are already various solutions, such as:

[0004] 1. "Assessment of the Minimum Inertia Requirements of Power Systems Considering the Inertia Characteristics of Sources and Loads" published by Xie Zhenjian et al., Automation of Electric Power Systems, 2024, 48(10): 66-77. This paper established a multi-machine system frequency response (SFR) model considering thermal power units, wind turbines, and induction motors participating in frequency regulation. With the initial rate of change of frequency (RoCoF) and the maximum frequency deviation as frequency safety constraints, the assessment of the minimum inertia requirements of the power system was realized based on the frequency response model.

[0005] 2. "Quantitative Analysis of the Voltage Support Strength of Offshore Wind Power Connected to the Grid via VSC-HVDC Considering the Influence of the Sending End" published by Lin Yi et al., Power System Technology, 2024, 32(8): 1-12. This paper proposed the short-circuit ratio of offshore wind power fed into the grid via VSC-HVDC considering the influence of the sending end. By analyzing the influence of the active power output of large-capacity offshore wind power at the sending end on the voltage stability of the receiving-end power grid, the influence factor of the receiving-end AC power grid was proposed, and the influence of each active and reactive power source in the receiving-end power grid on the voltage at the connection point was equivalently quantified. Then, based on the influence factor, the short-circuit ratio of offshore wind power fed into the grid via VSC-HVDC was proposed, improving the voltage support strength evaluation index.

[0006] 3. "A Method for Quantifying the Frequency Strength of Power Systems Considering Voltage Dynamics" published by Hu Guang et al., Automation of Electric Power Systems, 2024, 48(08): 67-78. This paper proposed a method for quantifying the frequency strength of power systems considering voltage dynamics. The influence of voltage dynamics on system frequency was characterized by a global coupling term, a system frequency response model considering voltage dynamics was established, and the interaction path between voltage and frequency was revealed. Then, the voltage coupling term was partitioned and decoupled and unified and simplified modeling was carried out to realize the quantification of the frequency support capabilities of each region of the system and the frequency strength of the entire system.

[0007] In summary, most of the existing research on quantifying the demand for power grid frequency and voltage support is designed separately for frequency or voltage support. However, in the context of a new power system, these two types of disturbances often occur coupled, and the existing methods cannot meet the actual needs.

[0008] The information disclosed in this background art section is only intended to deepen the understanding of the overall background art of the present invention and should not be regarded as an admission or any form of suggestion that this information constitutes the prior art known to those skilled in the art. Summary of the Invention

[0009] The present invention provides a method, device, equipment and medium for quantifying the coupled support demand of power grid frequency and voltage, thereby effectively solving the problems in the background art.

[0010] To achieve the above object, the technical solution adopted by the present invention is: A method for quantifying the coupled support demand of power grid frequency and voltage, comprising the following steps:

[0011] Obtain the real-time data of the frequency and voltage of the power grid monitoring point;

[0012] According to the real-time voltage data, calculate the voltage state perception quantization index α(t) and the voltage change trend index K Q (t);

[0013] According to the voltage state perception quantization index α(t) and the voltage change trend index K Q (t), quantify the power grid voltage support demand and calculate the voltage support demand quantization index Q rq ;

[0014] According to the real-time data of the frequency and voltage, calculate the frequency state perception quantization index β(t) and the frequency change trend index K P (t);

[0015] According to the frequency state perception quantization index β(t) and the frequency change trend index K P (t), quantify the power grid frequency support demand and calculate the frequency support demand quantization index P rq ;

[0016] According to the voltage support demand quantization index Q rq and the frequency support demand quantization index P rq , combined with the coupling relationship between voltage and frequency, calculate the quantization index of the coupled support demand of power grid frequency and voltage.

[0017] Further, the obtaining of the real-time frequency and voltage data of the power grid monitoring points includes: voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, and frequency deviation.

[0018] Further, the calculation of the voltage state perception quantization index α(t), which is used to characterize the severity of the system voltage fault, is expressed as:

[0019]

[0020] In the formula, α(t) is the voltage state perception quantization index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the voltage sag duration value, T umin 、T umax are respectively the minimum and maximum values of the voltage sag duration value, U(t) is the voltage disturbance amplitude, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval.

[0021] Further, the calculation of the voltage change trend index K Q (t), which is used to characterize the change trend of the system voltage state, is expressed as:

[0022]

[0023] In the formula, K Q (t) is the voltage change trend index, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation index, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation.

[0024] Further, the expression of the voltage support demand quantization index Q rq is:

[0025]

[0026] In the formula, Q rq is the voltage support demand quantization index, Umax , U min , U lim-max , U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval. U dp-max , U dp-min are respectively the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone. A1, A2, and A3 are respectively the reactive power droop coefficient, the reactive power inertia coefficient, and the reactive power integral coefficient. ∫ΔU(t)dt is the cumulative voltage change, and Q max is the maximum reactive power output of the system.

[0027] Furthermore, the frequency state perception quantization index β(t) is used to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to preferentially support the system voltage. By introducing the voltage state perception quantization index α(t), the quantitative distribution of active power and reactive power of the system is realized. The expression of the frequency state perception quantization index β(t) is:

[0028]

[0029] In the formula, β(t) is the frequency state perception quantization index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, T fault (t) is the frequency drop duration value, T min , T max are respectively the minimum value and the maximum value of the frequency drop duration value, f(t) is the frequency disturbance amplitude, f max , f min , f lim-max , f lim-min are respectively the upper interval value of the frequency steady state interval, the lower interval value of the steady state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval.

[0030] Furthermore, the frequency change trend index K P (t) is used to characterize the change trend of the system frequency state. The expression of the frequency change trend index K P (t) is:

[0031]

[0032] In the formula, K P (t) is the frequency change trend index, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation amount index, f(t) is the frequency disturbance amplitude, f max , f min , flim-max , f lim-min are respectively the upper interval value and the lower interval value of the frequency steady state interval, and the upper interval value and the lower interval value of the frequency collapse critical interval. df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation.

[0033] Furthermore, the frequency support demand quantization index P rq has the following expression::

[0034]

[0035] In the formula, P rq is the frequency support demand quantization index, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation, f(t) is the frequency disturbance amplitude, f max , f min , f lim-max , f lim-min are respectively the upper interval value and the lower interval value of the frequency steady state interval, and the upper interval value and the lower interval value of the frequency collapse critical interval. f dp-max , f dp-min are respectively the upper interval value and the lower interval value of the frequency dead zone. B1, B2, and B3 are respectively the active power droop coefficient, the active power inertia coefficient, and the active power integral coefficient. ∫Δf(t)dt is the cumulative frequency change amount, and P max is the maximum active power output of the system.

[0036] Furthermore, according to the voltage support demand quantization index Q rq and the frequency support demand quantization index P rq , combined with the coupling relationship between voltage and frequency, calculate the grid frequency-voltage coupling support demand quantization index, including::

[0037] Adopt reactive power priority as the criterion for the grid frequency-voltage coupling support demand. Quantify the system voltage support demand according to the voltage support demand quantization index Q rq , and quantify the system frequency support demand in the reactive power priority mode according to the frequency support demand quantization index P rq , thereby realizing the quantization index of the grid frequency-voltage coupling support demand and completing the quantization of the grid frequency-voltage coupling support demand.

[0038] The present invention also includes a grid frequency-voltage coupling support demand quantization device, including::

[0039] A data acquisition unit for acquiring the real-time data of the frequency and voltage of the grid monitoring point;

[0040] A voltage support calculation unit, configured to calculate a voltage state perception quantization index α(t) and a voltage change trend index K Q (t) according to the real-time voltage data; and quantify the grid voltage support requirement and calculate a voltage support requirement quantization index Q Q according to the voltage state perception quantization index α(t) and the voltage change trend index K rq ;

[0041] A frequency support calculation unit, configured to calculate a frequency state perception quantization index β(t) and a frequency change trend index K P (t) according to the real-time frequency and voltage data; and quantify the grid frequency support requirement and calculate a frequency support requirement quantization index P P according to the frequency state perception quantization index β(t) and the frequency change trend index K rq ;

[0042] A coupling requirement calculation unit, configured to calculate a grid frequency-voltage coupling support requirement quantization index according to the voltage support requirement quantization index Q rq and the frequency support requirement quantization index P rq in combination with the coupling relationship between voltage and frequency.

[0043] Further, the data acquisition unit is further configured to: acquire the voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation amount, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, and frequency deviation amount.

[0044] Further, the voltage state perception quantization index α(t) is used to characterize the severity of the system voltage fault, and its expression is:

[0045]

[0046] Wherein, α(t) is the voltage state perception quantization index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the voltage sag duration value, T umin , T umax are respectively the minimum and maximum values of the voltage sag duration value, U(t) is the voltage disturbance amplitude, U max , U min , U lim-max , U lim-min are respectively the upper interval value, lower interval value of the voltage steady state interval, upper interval value of the voltage collapse critical interval, and lower interval value of the voltage collapse critical interval.

[0047] Further, the voltage change trend index K Q(t), which is used to characterize the changing trend of the system voltage state, and its expression is:

[0048]

[0049]

[0050] In the formula, K Q (t) is the voltage change trend index, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation index, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval. dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation.

[0051] Furthermore, the expression of the voltage support demand quantification index Q rq is:

[0052]

[0053] In the formula, Q rq is the voltage support demand quantification index, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval. U dp-max 、U dp-min are respectively the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone. A1, A2, and A3 are respectively the reactive power droop coefficient, the reactive power inertia coefficient, and the reactive power integral coefficient. ∫ΔU(t)dt is the cumulative voltage change, and Q max is the maximum reactive power output of the system.

[0054] Furthermore, the frequency state perception quantification index β(t) is used to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to give priority to supporting the system voltage. By introducing the voltage state perception quantification index α(t), the quantitative distribution of the active power and reactive power of the system is realized. The expression of the frequency state perception quantification index β(t) is:

[0055]

[0056]

[0057] In the formula, β(t) is the frequency state perception quantization index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, T fault (t) is the frequency drop duration value, T min 、T max are respectively the minimum and maximum values of the frequency drop duration value, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min are respectively the upper interval value, lower interval value of the frequency steady state interval, upper interval value of the frequency collapse critical interval, and lower interval value of the collapse critical interval.

[0058] Furthermore, the frequency change trend index K P (t) is used to characterize the change trend of the system frequency state, and the expression of the frequency change trend index K P (t) is:

[0059]

[0060] In the formula, K P (t) is the frequency change trend index, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation amount index, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min are respectively the upper interval value, lower interval value of the frequency steady state interval, upper interval value of the frequency collapse critical interval, and lower interval value of the collapse critical interval, df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation amount.

[0061] Furthermore, the expression of the frequency support demand quantization index P rq is:

[0062]

[0063] In the formula, P rq is the frequency support demand quantization index, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation amount, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min are respectively the upper interval value, lower interval value of the frequency steady state interval, upper interval value of the frequency collapse critical interval, and lower interval value of the collapse critical interval, f dp-max 、f dp-minThey are the upper interval value and lower interval value of the frequency dead zone respectively. B1, B2, and B3 are the active power droop coefficient, active power inertia coefficient, and active power integral coefficient respectively. ∫Δf(t)dt is the cumulative change in frequency, and P max The maximum active power output of the system.

[0064] Furthermore, the coupling demand calculation unit further includes:

[0065] It is used to take reactive power priority as the criterion for the coupling support demand of the system frequency and voltage, and quantify the system voltage support demand according to the voltage support demand quantization index Q rq Quantify the system voltage support demand, and quantify the system frequency support demand in the reactive power priority mode according to the frequency support demand quantization index P rq Quantify the system frequency support demand in the reactive power priority mode, thereby realizing the quantization index of the grid frequency-voltage coupling support demand and completing the quantization of the grid frequency-voltage coupling support demand.

[0066] The present invention further includes a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method as described above is implemented.

[0067] The present invention further includes a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method as described above is implemented.

[0068] The beneficial effects of the present invention are:

[0069] Aiming at the quantization of the grid system frequency and voltage coupling support demand, the present invention uses the voltage and frequency situation as the zoning basis, and takes the reactive power priority control as the constraint for the coupling support demand quantization analysis, and proposes a method for quantifying the grid frequency-voltage coupling support demand. This method can comprehensively consider the disturbance amplitude, duration, and change trend, realize the quantization of the grid frequency-voltage coupling support demand. This quantization method is simple and flexible in calculation, easy to implement in engineering, and has strong versatility at the same time. It can be applied to simple and complex grid systems, not limited to a single scenario. Description of the Drawings

[0070] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0071] Figure 1 It is a schematic diagram of voltage situation zoning;

[0072] Figure 2It is the voltage change trend index K Q (t) schematic diagram;

[0073] Figure 3 It is the schematic diagram of the voltage disturbance quantification index α(t), the voltage disturbance duration index α1(t) and the voltage disturbance amplitude index α2(t);

[0074] Figure 4 It is the voltage support demand quantification index Q rq schematic diagram;

[0075] Figure 5 It is the process schematic diagram of the power grid frequency-voltage coupling support demand quantification method;

[0076] Figure 6 It is the structure schematic diagram of the power grid frequency-voltage coupling support demand quantification device;

[0077] Figure 7 It is the structure schematic diagram of the computer device. Specific implementation manners

[0078] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0079] As Figures 1 to 5 shown: A power grid frequency-voltage coupling support demand quantification method includes the following steps:

[0080] S10: Obtain the real-time data of the frequency and voltage of the power grid monitoring point;

[0081] S20: Calculate the voltage state perception quantification index α(t) and the voltage change trend index K Q (t) according to the real-time voltage data;

[0082] S30: Quantify the power grid voltage support demand according to the voltage state perception quantification index α(t) and the voltage change trend index K Q (t), and calculate the voltage support demand quantification index Q rq ;

[0083] S40: Calculate the frequency state perception quantification index β(t) and the frequency change trend index K P (t) according to the real-time data of the frequency and voltage;

[0084] S50: Quantify the power grid frequency support demand according to the frequency state perception quantification index β(t) and the frequency change trend index K P (t), and calculate the frequency support demand quantification index P rq ;

[0085] S60: Quantify the voltage support requirement according to the quantization index Q rq and the frequency support requirement quantization index P rq , and calculate the grid frequency-voltage coupling support requirement quantization index by combining the coupling relationship between voltage and frequency.

[0086] For the quantization of the grid system frequency and voltage coupling support requirements, the present invention uses the voltage and frequency situations as the basis for zoning, and uses the reactive power priority control as the constraint for the quantization analysis of the coupling support requirements, and proposes a method for quantifying the grid frequency-voltage coupling support requirements. This method can comprehensively consider the disturbance amplitude, duration and change trend, realize the quantization of the grid frequency-voltage coupling support requirements. This quantization method is simple and flexible in calculation and easy to implement in engineering. At the same time, this method has strong versatility and can be applied to simple and complex grid systems, not limited to a single scenario.

[0087] By deeply analyzing the real-time data of the grid frequency and voltage, a support requirement quantization method based on the voltage state perception quantization index and the frequency state perception quantization index is proposed, which can accurately evaluate the voltage and frequency support requirements required by the grid under different states. This quantization method can help the power system accurately adjust the control strategy and improve the operation efficiency of the grid.

[0088] By quantifying the support requirements of voltage and frequency, this method can reflect the frequency-voltage coupling state of the grid in real time, thereby improving the response ability to grid fluctuations and emergencies (such as load fluctuations, equipment failures, etc.), and real-time monitoring of the change trends of voltage and frequency helps to achieve rapid adjustment and stability of the grid, and prevent potential safety hazards such as system overload or collapse.

[0089] This method quantifies the support requirements of voltage and frequency by coupling, considers the mutual influence between the two, avoids the limitations of only quantifying the support requirements of frequency or voltage alone, can comprehensively and accurately reflect the overall operation state of the grid, improves the comprehensive evaluation ability of the grid support requirements, and the coupling optimization makes the grid regulation more refined, effectively improving the operation stability of the grid.

[0090] In this embodiment, in step S10, the real-time data of the frequency and voltage of the grid monitoring point are obtained, including: voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, frequency deviation.

[0091] By refining data acquisition parameters (including voltage disturbance duration, voltage disturbance amplitude, frequency disturbance amplitude, etc.), various disturbance characteristics in power grid operation can be more accurately reflected. Precise voltage and frequency change information helps to comprehensively evaluate the real-time state of the power grid and provides more reliable data support for subsequent quantification of support requirements.

[0092] As an optimization of the above embodiment, in step S20, according to the real-time voltage data, calculate the voltage state perception quantization index α(t) for characterizing the severity of the system voltage fault. The voltage state perception quantization index α(t) consists of the voltage disturbance duration index α1(t) and the voltage disturbance amplitude index α2(t). The expression of the voltage state perception quantization index α(t) is:

[0093]

[0094] As Figure 1 shown, it is a schematic diagram of voltage situation zoning, and the zoning can be assigned values according to the actual situation.

[0095]

[0096] In the formula, α(t) is the voltage state perception quantization index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the voltage sag duration value, T umin 、T umax are respectively the minimum and maximum values of the voltage sag duration value, U(t) is the voltage disturbance amplitude, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval.

[0097] Characterize the severity of the system voltage fault according to the voltage state perception quantization index α(t).

[0098] By combining the two key characteristic indexes of voltage disturbance duration and amplitude, and respectively quantifying the fault persistence and amplitude through the voltage disturbance duration index α1(t) and the voltage disturbance amplitude index α2(t), the severity of the voltage fault can be comprehensively characterized, which can effectively reflect the trend of voltage dynamic change and the characteristics of the fault, and is convenient for targeted power grid regulation and support.

[0099] Among them, in step S20, according to the real-time voltage data, calculate the voltage change trend index K Q (t), as Figure 2 shown, it is the voltage change trend index K Q(t) Schematic diagram for characterizing the change trend of system voltage state, voltage change trend index K Q (t) consists of voltage change rate index K Q1 (t) and voltage deviation index K Q2 (t). The expression of voltage change trend index K Q (t) is:

[0100]

[0101] In the formula, K Q (t) is the voltage change trend index, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation index, U max , U min , U lim-max , U lim-min are respectively the upper interval value, lower interval value of the voltage steady-state interval, upper interval value and lower interval value of the voltage collapse critical interval. dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation.

[0102] According to the voltage change trend index K Q (t) to characterize the change trend of system voltage state.

[0103] Combining the voltage change rate index K Q1 (t) and the voltage deviation index K Q2 (t) can comprehensively analyze the dynamic change characteristics of the system voltage state from two key dimensions of change rate and deviation amplitude, and can capture the dynamic trend of voltage fluctuations, including the impact of rapid changes and deviation accumulation on system stability, thereby improving the characterization ability of complex power grid states.

[0104] As Figure 3 shown, it is a schematic diagram of voltage disturbance quantization index α(t), voltage disturbance duration index α1(t) and voltage disturbance amplitude index α2(t);

[0105] As a preference of the above embodiment, in step S30, according to the voltage state perception quantization index α(t) and the voltage change trend index K Q (t), the voltage support demand of the power grid is quantified, and the voltage support demand quantization index Q rq is calculated. As Figure 4 shown, it is a schematic diagram of the voltage support demand quantization index Q rq . The expression of the voltage support demand quantization index Q rq is:

[0106]

[0107] Wherein, Q rq is the quantization index of voltage support demand, U max , U min , U lim-max , U lim-min are respectively the upper interval value, the lower interval value of the voltage steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval. U dp-max , U dp-min are respectively the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone. A1, A2, and A3 are respectively the reactive power droop coefficient, the reactive power inertia coefficient, and the reactive power integral coefficient. ∫ΔU(t)dt is the cumulative voltage change. Q max The maximum reactive power output of the system.

[0108] By comprehensively considering the voltage state perception quantization index α(t) and the voltage change trend index K Q (t), the model can comprehensively characterize the voltage support demand from two dimensions of the severity of the fault and the dynamic trend, provide more accurate quantization results, and effectively solve the problem that the traditional method relying only on a single parameter cannot accurately reflect complex voltage disturbances.

[0109] In this embodiment, in step S40, according to the real-time data of frequency and voltage, the frequency state perception quantization index β(t) is calculated to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. The frequency state perception quantization index β(t) is composed of the frequency disturbance duration index β1(t), the frequency disturbance amplitude index β2(t), and the voltage state perception quantization index α(t). When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to preferentially support the system voltage. By introducing the voltage state perception quantization index α(t), the quantitative allocation of active power and reactive power of the system is realized. The expression of the frequency state perception quantization index β(t) is:

[0110]

[0111]

[0112] Wherein, β(t) is the frequency state perception quantization index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, T fault (t) is the frequency drop duration value, T min , T max are respectively the minimum value and the maximum value of the frequency drop duration value, f(t) is the frequency disturbance amplitude, f max , f min , f lim-max , f lim-minThey are the upper interval value and the lower interval value of the frequency steady state interval, as well as the upper interval value of the frequency collapse critical interval and the lower interval value of the collapse critical interval respectively.

[0113] According to the frequency state perception quantization index β(t), it characterizes the severity of the frequency disturbance of the system in the reactive power priority mode.

[0114] By comprehensively considering the frequency disturbance duration index β1(t) and the frequency disturbance amplitude index β2(t), and combining with the voltage state perception quantization index α(t), the frequency state perception quantization index β(t) can comprehensively reflect the dynamic characteristics of the voltage and frequency coupling disturbance. The quantization index β(t) can intuitively and quantitatively express the severity of the frequency disturbance, providing data support for system stability analysis and control strategies; when the voltage and frequency fluctuations occur simultaneously, by introducing the voltage state perception quantization index α(t), it preferentially supports voltage stability and realizes the dynamic distribution of active and reactive power of the power grid resources. This mechanism can preferentially ensure voltage stability under limited resources, thus avoiding cascading failures caused by voltage collapse.

[0115] Among them, in step S40, calculate the frequency change trend index K P (t), which is used to characterize the change trend of the system frequency state. The frequency change trend index K P (t) is composed of the frequency change rate index K P1 (t) and the frequency deviation amount index K P2 (t). The expression of the frequency change trend index K P (t) is:

[0116]

[0117] In the formula, K P (t) is the frequency change trend index, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation amount index, f(t) is the frequency disturbance amplitude, f max , f min , f lim-max , f lim-min They are the upper interval value and the lower interval value of the frequency steady state interval, as well as the upper interval value of the frequency collapse critical interval and the lower interval value of the collapse critical interval respectively. df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation amount.

[0118] According to the frequency change trend index K P (t), it characterizes the change trend of the system frequency state.

[0119] The frequency change trend index K P(t) Quantify the dynamic frequency change characteristics comprehensively from two dimensions of rate and amplitude by combining the frequency change rate and the deviation amount, providing more accurate data support for system state analysis; calculate the frequency change trend index K in real time P (t) Can quickly identify the change trend of the frequency state, providing a scientific basis for the priority allocation of frequency regulation resources and optimizing the regulation efficiency.

[0120] As an optimization of the above embodiment, in step S50, according to the frequency state perception quantization index β(t) and the frequency change trend index K P (t), quantify the power grid frequency support demand, and calculate the frequency support demand quantization index P rq , the frequency support demand quantization index P rq The expression of is:

[0121]

[0122] In the formula, P rq Is the frequency support demand quantization index, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation amount, f(t) is the frequency disturbance amplitude, f max , f min , f lim-max , f lim-min Are the upper interval value, lower interval value of the steady state interval of frequency, upper interval value of the frequency collapse critical interval, and lower interval value of the collapse critical interval respectively, f dp-max , f dp-min Are the upper interval value and lower interval value of the frequency dead zone respectively, B1, B2, and B3 are the active power droop coefficient, active power inertia coefficient, and active power integral coefficient respectively, ∫Δf(t)dt is the cumulative frequency change amount, P max The maximum active power output of the system.

[0123] Comprehensively consider the frequency state perception quantization index β(t) and the frequency change trend index K P (t), through the frequency support demand quantization index P rq The model can accurately quantify the demand intensity of the power grid for frequency support under different operating conditions. The frequency support demand quantization index P rq The model transforms the complex frequency dynamic characteristics into computable indexes, providing a scientific basis for system regulation.

[0124] In this embodiment, in step S60, according to the voltage support demand quantization index Q rq And the frequency support demand quantization index P rq , combined with the coupling relationship between voltage and frequency, calculate the power grid frequency-voltage coupling support demand quantization index, including:

[0125] Take reactive power priority as the criterion for the system frequency-voltage coupling support demand, and quantify the voltage support demand according to the quantization index Q of the voltage support demand rq Quantify the system voltage support demand according to the quantization index P of the frequency support demand rq Quantify the system frequency support demand in the reactive power priority mode, thereby realizing the quantization index of the grid frequency-voltage coupling support demand and completing the quantization of the grid frequency-voltage coupling support demand

[0126] Comprehensively consider the voltage support demand quantization index Q rq And the frequency support demand quantization index P rq Through the dynamic calculation of these two independent indicators, the model can accurately characterize the coupling relationship between the frequency and voltage support demands. By using a unified quantization index to measure the support demand intensity of the system frequency and voltage, it avoids the deviation of the traditional method in the independent analysis of frequency and voltage. Through the reactive power priority mode, in scenarios where the risk of grid frequency-voltage coupling instability is relatively high, it gives priority to ensuring voltage stability and effectively prevents system-level faults caused by voltage collapse. At the same time, it dynamically adjusts the frequency support demand to achieve coordinated regulation of frequency and voltage and improve the overall stability of the system

[0127] The present invention also includes a device for quantifying the grid frequency-voltage coupling support demand, as Figure 6 shown, including:

[0128] A data acquisition unit for acquiring real-time data of the frequency and voltage at the grid monitoring points

[0129] A voltage support calculation unit for calculating the voltage state perception quantization index α(t) and the voltage change trend index K Q (t) according to the real-time voltage data; quantifying the grid voltage support demand according to the voltage state perception quantization index α(t) and the voltage change trend index K Q (t), and calculating the voltage support demand quantization index Q rq ;

[0130] A frequency support calculation unit for calculating the frequency state perception quantization index β(t) and the frequency change trend index K P (t) according to the real-time frequency and voltage data; quantifying the grid frequency support demand according to the frequency state perception quantization index β(t) and the frequency change trend index K P (t), and calculating the frequency support demand quantization index P rq ;

[0131] A coupling demand calculation unit for calculating according to the voltage support demand quantization index Q rq And the frequency support demand quantization index P rq, combined with the coupling relationship between voltage and frequency, calculate the quantification index of the grid frequency-voltage coupling support demand.

[0132] As an optimization of the above embodiment, the data acquisition unit is further configured to: acquire the voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation amount, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, and frequency deviation amount.

[0133] In this embodiment, the voltage state perception quantification index α(t) is used to characterize the severity of the system voltage fault, and its expression is:

[0134]

[0135]

[0136] In the formula, α(t) is the voltage state perception quantification index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the voltage sag duration value, T umin 、T umax are respectively the minimum value and the maximum value of the voltage sag duration value, U(t) is the voltage disturbance amplitude, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval.

[0137] Among them, the voltage change trend index K Q (t) is used to characterize the change trend of the system voltage state, and its expression is:

[0138]

[0139] In the formula, K Q (t) is the voltage change trend index, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation amount index, U max 、U min 、U lim-max 、U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation amount.

[0140] As an optimization of the above embodiment, the expression of the voltage support demand quantification index Q rq is:

[0141]

[0142] Wherein, Q rq is the quantization index of voltage support demand, and U max , U min , U lim-max , U lim-min are respectively the upper interval value of the voltage steady state interval, the lower interval value of the steady state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval. U dp-max , U dp-min are respectively the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone. A1, A2, and A3 are respectively the reactive power droop coefficient, the reactive power inertia coefficient, and the reactive power integral coefficient. ∫ΔU(t)dt is the cumulative voltage change amount, and Q max is the maximum reactive power output of the system.

[0143] In this embodiment, the frequency state perception quantization index β(t) is used to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to preferentially support the system voltage. The quantization allocation of active power and reactive power of the system is realized by introducing the voltage state perception quantization index α(t). The expression of the frequency state perception quantization index β(t) is:

[0144]

[0145]

[0146] Wherein, β(t) is the frequency state perception quantization index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, and T fault (t) is the frequency drop duration value, and T min , T max are respectively the minimum value and the maximum value of the frequency drop duration value, f(t) is the frequency disturbance amplitude, and f max , f min , f lim-max , f lim-min are respectively the upper interval value of the frequency steady state interval, the lower interval value of the steady state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval.

[0147] Among them, the frequency change trend index K P (t) is used to characterize the change trend of the system frequency state. The expression of the frequency change trend index K P (t) is:

[0148]

[0149] Wherein, K P (t) is the frequency change trend index, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation index, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min are respectively the upper interval value, the lower interval value of the steady state interval of the frequency, the upper interval value of the critical interval of frequency collapse, and the lower interval value of the critical interval of collapse. df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation amount.

[0150] As an optimization of the above embodiment, the expression of the frequency support demand quantification index P rq is:

[0151]

[0152] Wherein, P rq is the frequency support demand quantification index, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation amount, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min are respectively the upper interval value, the lower interval value of the steady state interval of the frequency, the upper interval value of the critical interval of frequency collapse, and the lower interval value of the critical interval of collapse. f dp-max 、f dp-min are respectively the upper interval value of the frequency dead zone and the lower interval value of the dead zone. B1, B2, and B3 are respectively the active power droop coefficient, the active power inertia coefficient, and the active power integral coefficient. ∫Δf(t)dt is the cumulative frequency change amount, and P max is the maximum active power output of the system.

[0153] In this embodiment, the coupling demand calculation unit further includes:

[0154] It is used to take reactive power priority as the criterion for the system frequency-voltage coupling support demand, quantify the system voltage support demand according to the voltage support demand quantification index Q rq and quantify the system frequency support demand in the reactive power priority mode according to the frequency support demand quantification index P rq so as to realize the quantification index of the grid frequency-voltage coupling support demand and complete the quantification of the grid frequency-voltage coupling support demand.

[0155] Please refer to Figure 7Schematic structural diagram of the computer device provided by the embodiments of the present invention. A computer device 400 provided by the embodiments of the present invention includes: a processor 410 and a memory 420. The memory 420 stores a computer program executable by the processor 410. When the computer program is executed by the processor 410, the above method is executed.

[0156] The embodiments of the present invention also provide a storage medium 430. A computer program is stored on the storage medium 430. When the computer program is run by the processor 410, the above method is executed.

[0157] Among them, the storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (abbreviated as SRAM), electrically erasable programmable read-only memory (abbreviated as EEPROM), erasable programmable read-only memory (abbreviated as EPROM), programmable read-only memory (abbreviated as PROM), read-only memory (abbreviated as ROM), magnetic memory, flash memory, a magnetic disk or an optical disc.

[0158] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "a plurality" is two or more, unless otherwise specifically defined.

[0159] In the present invention, unless otherwise clearly defined and limited, terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal connection of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0160] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0161] Any process or method description represented in a flowchart or described in other ways herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a manner that is not in the order shown or discussed, including in a substantially simultaneous manner according to the functions involved or in a reverse order, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0162] The logic and / or steps represented in a flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or, if necessary, other suitable processing, and then storing it in a computer memory.

[0163] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0164] Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0165] The above-mentioned storage medium can be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for quantifying power grid frequency-voltage coupling support requirements, characterized in that: The steps include: Obtain real-time frequency and voltage data from power grid monitoring points; According to the real-time voltage data, the voltage state perception quantitative index α(t) and the voltage change trend index K are calculated. Q (t); According to the voltage state perception quantification index α(t) and the voltage change trend index K Q (t), quantify the grid voltage support demand and calculate the voltage support demand quantitative index Q rq ; According to the frequency and voltage real-time data, the frequency state perception quantitative index β(t) and the frequency change trend index K are calculated. P (t); According to the frequency state perception quantitative index β(t) and the frequency change trend index K P (t), quantify the grid frequency support demand, and calculate the frequency support demand quantitative index P rq ; According to the voltage support demand quantitative index Q rq The frequency support requirement quantified by P rq , combined with the coupling relationship between voltage and frequency, the quantitative indicators of grid frequency-voltage coupling support demand are calculated.

2. The method for quantifying power grid frequency-voltage coupling support demand according to claim 1, characterized in that: Obtain real-time frequency and voltage data of power grid monitoring points, including: voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, and frequency deviation.

3. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: The voltage state perception quantitative index α(t) is used to characterize the severity of the system voltage fault, and its expression is: In the formula, α(t) is the voltage state perception quantitative index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the duration of voltage drop, T umin , T umax are the minimum and maximum values ​​of the voltage drop duration, U(t) is the voltage disturbance amplitude, and U max , U min , U lim-max , U lim-min They are respectively the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval.

4. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: The voltage change trend indicator K Q (t), which is used to characterize the changing trend of the system voltage state, and its expression is: In the formula, K Q (t) is the voltage change trend indicator, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation index, U max , U min , U lim-max , U lim-min They are the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation.

5. The method for quantifying power grid frequency-voltage coupling support demand according to claim 1, characterized in that: The voltage support demand quantitative index Q rq The expression is: In the formula, Q rq It is a quantitative indicator of voltage support demand, U max , U min , U lim-max , U lim-min are the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, respectively. dp-max , U dp-min are the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone, respectively; A1, A2, A3 are the reactive droop coefficient, reactive inertia coefficient and reactive integral coefficient, respectively; ∫ΔU(t)dt is the accumulated voltage change; Q max The maximum reactive power output of the system.

6. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: The frequency state perception quantitative index β(t) is used to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to give priority to supporting the system voltage. The voltage state perception quantitative index α(t) is introduced to realize the quantitative allocation of active power and reactive power of the system. The expression of the frequency state perception quantitative index β(t) is: Where β(t) is the frequency state perception quantitative index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, T fault (t) is the duration of the frequency drop, T min , T max are the minimum and maximum values ​​of the frequency drop duration, f(t) is the frequency disturbance amplitude, and f max 、f min 、f lim-max 、f lim-min They are respectively the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval.

7. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: The frequency change trend indicator K P (t), used to characterize the changing trend of the system frequency state, the frequency changing trend index K P The expression of (t) is: In the formula, K P (t) is the frequency change trend indicator, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation index, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min They are the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval, df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation.

8. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: The frequency support demand quantitative index P rq The expression is: Where P rq is the quantitative index of frequency support demand, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation, f(t) is the frequency disturbance amplitude, and f max 、f min 、f lim-max 、f lim-min are the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval, respectively. dp-max 、f dp-min are the upper interval value of the frequency dead zone and the lower interval value of the dead zone, B1, B2, B3 are the active droop coefficient, active inertia coefficient and active integral coefficient, ∫Δf(t)dt is the cumulative change of frequency, P max The maximum active output of the system.

9. The method for quantifying power grid frequency-voltage coupling support requirements according to claim 1, characterized in that: According to the voltage support demand quantitative index Q rq The frequency support requirement quantified by P rq , combined with the coupling relationship between voltage and frequency, the quantitative indicators of the grid frequency-voltage coupling support demand are calculated, including: Reactive power priority is taken as the criterion for the system frequency voltage coupling support demand, and the voltage support demand quantitative index Q rq Quantify the system voltage support demand and quantify the frequency support demand index P rq Quantify the system frequency support demand of the system in reactive power priority mode, thereby achieving quantitative indicators of the grid frequency-voltage coupling support demand and completing the quantification of the grid frequency-voltage coupling support demand.

10. A device for quantifying power grid frequency-voltage coupling support demand, characterized in that: include: A data acquisition unit, used to acquire real-time frequency and voltage data of a power grid monitoring point; The voltage support calculation unit is used to calculate the voltage state perception quantitative index α(t) and the voltage change trend index K according to the voltage real-time data. Q (t); according to the voltage state perception quantification index α(t) and the voltage change trend index K Q (t), quantify the grid voltage support demand and calculate the voltage support demand quantitative index Q rq ; The frequency support calculation unit is used to calculate the frequency state perception quantitative index β(t) and the frequency change trend index K according to the frequency and voltage real-time data. P (t); according to the frequency state perception quantitative index β(t) and the frequency change trend index K P (t), quantify the grid frequency support demand, and calculate the frequency support demand quantitative index P rq ; A coupling demand calculation unit is used to quantify the voltage support demand index Q according to the voltage support demand. rq The frequency support requirement quantified by P rq , combined with the coupling relationship between voltage and frequency, the quantitative indicators of grid frequency-voltage coupling support demand are calculated.

11. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The data acquisition unit is further used to acquire voltage disturbance duration, voltage disturbance amplitude, voltage change rate, voltage deviation, frequency disturbance duration, frequency disturbance amplitude, frequency change rate, and frequency deviation.

12. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The voltage state perception quantitative index α(t) is used to characterize the severity of the system voltage fault, and its expression is: In the formula, α(t) is the voltage state perception quantitative index, α1(t) is the voltage disturbance duration index, α2(t) is the voltage disturbance amplitude index, T ufault (t) is the duration of voltage drop, T umin , T umax are the minimum and maximum values ​​of the voltage drop duration, U(t) is the voltage disturbance amplitude, and U max , U min , U lim-max , U lim-min They are respectively the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval.

13. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The voltage change trend indicator K Q (t), which is used to characterize the changing trend of the system voltage state, and its expression is: In the formula, K Q (t) is the voltage change trend indicator, K Q1 (t) is the voltage change rate index, K Q2 (t) is the voltage deviation index, U max , U min , U lim-max , U lim-min They are the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, dU(t) / dt is the voltage change rate, and ΔU(t) is the voltage deviation.

14. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The voltage support demand quantitative index Q rq The expression is: In the formula, Q rq It is a quantitative indicator of voltage support demand, U max , U min , U lim-max , U lim-min are the upper interval value of the voltage steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the voltage collapse critical interval, and the lower interval value of the voltage collapse critical interval, respectively. dp-max , U dp-min are the upper interval value of the voltage dead zone and the lower interval value of the voltage dead zone, respectively; A1, A2, A3 are the reactive droop coefficient, reactive inertia coefficient and reactive integral coefficient, respectively; ∫ΔU(t)dt is the accumulated voltage change; Q max The maximum reactive power output of the system.

15. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The frequency state perception quantitative index β(t) is used to characterize the severity of the frequency disturbance of the system in the reactive power priority mode. When voltage-frequency fluctuations occur simultaneously, the system adopts the reactive power priority mode to give priority to supporting the system voltage. The voltage state perception quantitative index α(t) is introduced to realize the quantitative allocation of active power and reactive power of the system. The expression of the frequency state perception quantitative index β(t) is: Where β(t) is the frequency state perception quantitative index, β1(t) is the frequency disturbance duration index, β2(t) is the frequency disturbance amplitude index, T fault (t) is the duration of the frequency drop, T min , T max are the minimum and maximum values ​​of the frequency drop duration, f(t) is the frequency disturbance amplitude, and f max 、f min 、f lim-max 、f lim-min They are respectively the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval.

16. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The frequency change trend indicator K P (t), used to characterize the changing trend of the system frequency state, the frequency changing trend index K P The expression of (t) is: In the formula, K P (t) is the frequency change trend indicator, K P1 (t) is the frequency change rate index, K P2 (t) is the frequency deviation index, f(t) is the frequency disturbance amplitude, f max 、f min 、f lim-max 、f lim-min They are the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval, df(t) / dt is the frequency change rate, and Δf(t) is the frequency deviation.

17. The power grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The frequency support demand quantitative index P rq The expression is: Where P rq is the quantitative index of frequency support demand, df(t) / dt is the frequency change rate, Δf(t) is the frequency deviation, f(t) is the frequency disturbance amplitude, and f max 、f min 、f lim-max 、f lim-min are the upper interval value of the frequency steady-state interval, the lower interval value of the steady-state interval, the upper interval value of the frequency collapse critical interval, and the lower interval value of the collapse critical interval, respectively. dp-max 、f dp-min are the upper interval value of the frequency dead zone and the lower interval value of the dead zone, B1, B2, B3 are the active droop coefficient, active inertia coefficient and active integral coefficient, ∫Δf(t)dt is the cumulative change of frequency, P max The maximum active output of the system.

18. The grid frequency-voltage coupling support demand quantification device according to claim 10, characterized in that: The coupling requirement calculation unit also includes: It is used to take reactive power priority as the criterion for the system frequency voltage coupling support demand, according to the voltage support demand quantitative index Q rq Quantify the system voltage support demand and quantify the frequency support demand index P rq Quantify the system frequency support demand of the system in reactive power priority mode, thereby achieving quantitative indicators of the grid frequency-voltage coupling support demand and completing the quantification of the grid frequency-voltage coupling support demand.

19. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

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

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