Low-frequency load shedding control method and device, terminal equipment and storage medium
By acquiring low-frequency load shedding control data of distributed photovoltaic power participating in frequency regulation, and combining it with system active power disturbance data, the power grid integrated active power control model is used for simulation and optimization. This solves the problems of load differentiation and dynamic adjustment in existing technologies, achieves efficient optimal load shedding allocation among loads, and improves system stability and load-side acceptability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WENZHOU ELECTRIC POWER BUREAU
- Filing Date
- 2026-03-30
- Publication Date
- 2026-04-28
AI Technical Summary
Existing low-frequency load shedding technology cannot differentiate loads based on their frequency regulation contribution capabilities, resulting in some loads being preferentially cut off. Furthermore, it cannot dynamically adjust the load based on the active power output characteristics and disturbance features of the photovoltaic grid connection point, thus reducing the reliability of the system operation.
By acquiring low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation, and combining it with system active power disturbance data, a comprehensive active power control model of the power grid is used for simulation. A closed-loop control module and an operation constraint module are constructed to optimize the optimal load shedding allocation among loads. The objective function is optimized using the frequency regulation coefficient and penalty constraint coefficient to achieve differentiated load allocation and hierarchical control.
It improves the accuracy and response matching of low-frequency load shedding control, ensures system stability and load-side acceptability, avoids excessive or insufficient load shedding, and optimizes the coordination between frequency regulation performance and social benefits.
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Figure CN121939441A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power system stability control analysis, and in particular to a low-frequency load shedding control method, device, terminal equipment and storage medium. Background Technology
[0002] With the continuous increase in installed capacity of new energy sources and the large-scale integration of distributed photovoltaic (PV) power into the distribution network, the inertia level and primary frequency regulation capability of the power grid have shown a significant downward trend. In traditional power systems, the system frequency mainly relies on the rotational inertia of conventional thermal power units and primary frequency regulation control to maintain stability. However, in scenarios with a high proportion of PV grid connection, PV does not possess natural inertial support capabilities at the grid connection interface, and its output is significantly affected by fluctuations in sunlight conditions, easily causing system active power imbalance, thereby triggering a rapid shift in the point of common coupling frequency. When the system frequency drops below a certain threshold, the conventional approach is to cut off part of the load through low-frequency load shedding to quickly restore active power balance and avoid excessively low frequencies leading to unit disconnection or even grid collapse.
[0003] Existing low-frequency load shedding technologies primarily rely on fixed frequency action values and fixed load shedding sequences. These methods have two significant limitations: First, they cannot differentiate load shedding based on the frequency regulation contribution capabilities of different loads, leading to the priority shedding of loads with weak or no frequency support capabilities, while loads that could truly help improve system frequency regulation performance are not utilized effectively. Second, existing low-frequency load shedding strategies cannot dynamically adjust based on the active power output characteristics and disturbance features of different types of photovoltaic grid-connected points. When photovoltaic fluctuations are severe or system active power disturbances are large, traditional strategies are prone to insufficient or excessive load shedding, thereby reducing system reliability. Furthermore, the frequency regulation capability of distributed photovoltaic systems is limited by power fluctuations and inverter control characteristics, making it difficult to accurately quantify their role in system frequency response. Existing methods also struggle to comprehensively assess the impact of coordinated regulation of different resources on frequency stability.
[0004] Therefore, in scenarios where distributed photovoltaic power participates in frequency regulation, how to accurately calculate the total control quantity of low-frequency load shedding and achieve optimal load shedding distribution among loads has become a technical problem that urgently needs to be solved in current power grid frequency stability control. Summary of the Invention
[0005] This application provides a low-frequency load shedding control method that can solve the problem in the prior art of how to accurately calculate the total control quantity of low-frequency load shedding and achieve optimal load shedding distribution control among loads in the scenario where distributed photovoltaics participates in frequency regulation.
[0006] Some embodiments of this application provide a low-frequency load shedding control method, including: Acquire low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and collect the current system active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount; The system active power disturbance data and the low-frequency load shedding frequency action value are input into a preset integrated active power control model of the power grid so that the integrated active power control model of the power grid simulates the active power control process of the power grid. When the frequency change of the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value, the total control quantity of low-frequency load shedding is output according to the system active power disturbance data. Based on the total low-frequency load shedding control quantity and the frequency regulation coefficient corresponding to each load, the optimal low-frequency load shedding control model with the optimization objective of maximizing frequency regulation performance gain is initialized and solved. The optimal low-frequency load shedding control quantity for each load is determined, and low-frequency load shedding control is performed according to the optimal low-frequency load shedding control quantity and the type of load.
[0007] Compared with existing technologies, the above embodiments have the following beneficial effects: First, by acquiring the frequency regulation coefficients and low-frequency load shedding frequency action values corresponding to each load, and combining them with the current power grid's active power disturbance data, low-frequency load shedding control no longer relies on static settings, but can adjust the triggering conditions in real time according to the disturbance scale, load characteristics, and the photovoltaic support level for frequency. Second, by inputting the system active power disturbance and low-frequency load shedding frequency action values into the power grid's integrated active power control model for simulation, the calculation of the total control quantity for low-frequency load shedding can better conform to the actual power grid inertia, damping, and multi-source support structure, significantly improving the accuracy of load shedding triggering and the matching degree of response. Furthermore, by constructing an optimal low-frequency load shedding control model with the goal of maximizing frequency regulation performance gain, the available shedding amount for different loads is allocated differently, so that the load shedding process takes into account frequency regulation contribution, load attributes, and system stability, achieving the maximum frequency regulation benefit under the same load shedding amount. Finally, by executing a graded load shedding sequence according to load type, the required load shedding amount can be completed while ensuring that external impacts such as industrial production and user experience are minimized, thereby balancing system stability and load-side acceptability.
[0008] Furthermore, the integrated active power control model of the power grid includes a closed-loop control module and an operation constraint module; wherein, the closed-loop control module is used to characterize the coupling relationship between the frequency change at the point of common coupling of the power grid and the active power imbalance of the system; the active power imbalance of the system is composed of the active power disturbance data of the system, the active power support of thermal power units, the active power support of photovoltaic units, and the total control quantity of low-frequency load shedding; the operation constraint module is used to characterize the safe operating limits of the frequency regulation process.
[0009] Compared to existing technologies, the above embodiments have the following advantages: The closed-loop control module clearly characterizes the dynamic relationship between the frequency change at the point of common coupling and the active power imbalance of the system. This allows the load shedding judgment to move beyond a single frequency threshold triggering mode and make reasonable inferences based on grid inertia, damping, and the support capabilities of thermal and photovoltaic power. It quantifies the relationship between the grid's power-frequency coupling capability and load shedding control under distributed photovoltaic participation in frequency regulation, thereby significantly improving the adaptability of the triggering decision to the actual system state. Simultaneously, the introduction of an operational constraint module ensures that the frequency change rate, frequency deviation, and output of the main supporting power sources all meet safety boundaries before the entire low-frequency load shedding strategy is executed, avoiding secondary disturbances caused by insufficient load shedding response or excessive support.
[0010] Furthermore, the coupling relationship between the frequency variation at the power grid point of common coupling and the active power imbalance of the system is as follows: in, This refers to the system's active power imbalance. This refers to the active power disturbance data of the system. This represents the active power support for thermal power units. This refers to the active power support of photovoltaic systems. This is the total control quantity for low-frequency load shedding; This refers to the frequency variation at the point of common coupling of the power grid. This is the low-frequency load shedding frequency action value; and These are the power grid inertial time constant and damping constant, respectively. It is a frequency domain operator.
[0011] Compared with existing technologies, the above embodiments have the following beneficial effects: As can be seen from the above formula, this application dynamically incorporates the total control quantity of low-frequency load shedding into the system's active power imbalance through a closed-loop control system, achieving strong coupling between the dynamic relationship between power and frequency and load shedding control. The above closed-loop control system does not simply use the traditional threshold-based judgment to determine whether to cut off the load. Instead, it simulates how the new system active power balance will further affect the frequency change after cutting off the power corresponding to the total control quantity of low-frequency load shedding when the frequency change at the grid's point of common coupling is greater than or equal to the low-frequency load shedding frequency action value. This lays the physical foundation for the subsequent optimal control optimization model for low-frequency load shedding. Simultaneously, the above closed-loop control system explicitly incorporates the photovoltaic active power support quantity when calculating the system's active power imbalance, thus solving the problem in existing technologies where it is difficult to accurately quantify the frequency support role of emerging power sources such as distributed photovoltaics.
[0012] Furthermore, the operation constraint module includes: a first constraint condition for constraining the rate of frequency change; a second constraint condition for constraining the frequency deviation; a third constraint condition for constraining the total control quantity of low-frequency load shedding; a fourth constraint condition for constraining the active power support quantity of the thermal power unit; and a fifth constraint condition for constraining the active power support quantity of the photovoltaic power unit.
[0013] Compared to existing technologies, the above embodiments have the following advantages: frequency change rate constraints prevent excessively rapid system frequency drops from causing relay protection malfunctions or unit load shedding; frequency deviation constraints ensure that the system can return to an acceptable stable range after load reduction; low-frequency load reduction constraints avoid social benefit losses caused by excessive load shedding; and constraints on thermal and photovoltaic support quantities ensure that support resources are not overloaded due to improper scheduling. These constraints collectively construct a controllable frequency regulation space, enabling the calculation of the total low-frequency load reduction control quantity to not only pursue frequency restoration but also consider system safety, equipment limits, and user-side load attributes.
[0014] Further, the low-frequency load shedding optimal control model includes: an optimization objective function with the goal of maximizing frequency regulation performance gain and low-frequency load shedding control quantity constraints corresponding to various loads; the initialization and solution of the low-frequency load shedding optimal control model with the goal of maximizing frequency regulation performance gain based on the total low-frequency load shedding control quantity and the frequency regulation coefficients corresponding to each load includes: The optimization objective function is initialized based on the frequency regulation coefficients corresponding to the various loads. Initialize the low-frequency load shedding control quantity constraint based on the total low-frequency load shedding control quantity; The initial low-frequency load shedding optimal control model is solved using a preset mathematical programming algorithm.
[0015] Compared to existing technologies, the above embodiments have the following advantages: By initializing the objective function with frequency regulation coefficients, the differences in the contribution of different loads to frequency regulation can be accurately quantified. For example, the shedding of certain loads can quickly reduce the active power demand of the power grid, while some loads contribute almost nothing to frequency improvement. The total power of low-frequency load shedding is used to define constraints, allowing the model to optimize performance while meeting system recovery requirements. Solving the problem using mathematical programming algorithms enables the optimization process to quickly find the optimal solution among a large number of loads with complex attributes, avoiding redundant load shedding or improper load selection caused by manual settings.
[0016] Furthermore, the frequency modulation coefficient includes: a low-frequency load reduction penalty constraint coefficient and a frequency modulation performance score coefficient; the optimization objective function is specifically: in, To optimize the objective function; This is a frequency modulation performance gain evaluation function; This refers to the steady-state quantity of the system's active power imbalance. This refers to the active power disturbance data of the system. The number of the first load that does not have frequency-sensitive characteristics; The number of second loads whose power varies with frequency; For the first The low-frequency load shedding control quantity of the first load; For the first The low-frequency load shedding control quantity of the second load; and The first The first load and the first The frequency regulation performance score coefficient of the second load; and The first The first load and the first The low-frequency load shedding penalty constraint coefficient for the second load; This represents the function for maximizing the gain evaluation of frequency modulation performance.
[0017] Compared to existing technologies, the above embodiments have the following beneficial effects: the frequency regulation performance score coefficient can quantify the frequency improvement effect after various load shedding processes, making the system more inclined to select loads with a large impact on frequency regulation for shedding, thereby increasing the benefit of frequency recovery per unit load shedding. The penalty constraint coefficient is used to reflect the importance of the load and the impact of its shedding. For example, industrial production loads require a higher penalty coefficient to avoid losses caused by excessive shedding. By incorporating both types of coefficients into the objective function, the optimization model can automatically coordinate the contradiction between frequency regulation performance and social benefit costs, ensuring rapid system frequency stabilization while avoiding unnecessary impact on critical loads.
[0018] Furthermore, the types of loads include: a third load that does not affect industrial production efficiency, a fourth load that needs to be negotiated and removed, and a fifth load that needs to be reported and approved for removal; the low-frequency load reduction control based on the optimal low-frequency load reduction control amount and the type of load includes: performing low-frequency load reduction control on the corresponding loads in the order of the third load, the fourth load, and the fifth load, according to the optimal low-frequency load reduction control amount.
[0019] Compared to existing technologies, the above embodiments offer the following advantages: By dividing the load into third, fourth, and fifth loads and setting a strict load shedding sequence, the low-frequency load shedding process can balance grid safety and user-side acceptability. This tiered strategy ensures that loads with the least impact on production and user experience are prioritized for shedding in the initial stages of load shedding, thereby minimizing negative impacts while meeting system frequency recovery requirements. For loads requiring negotiation or approval, the shedding sequence is delayed, ensuring they are only executed when the system faces a deeper frequency crisis, thus avoiding overreaction to minor disturbances. Furthermore, by combining the optimal shedding amount obtained from the aforementioned optimal control model, the shedding of each load level can be based on actual frequency regulation contribution and social cost assessment, thereby forming a load shedding decision-making system that is scientific, safe, and fair.
[0020] Another embodiment of this application provides a low-frequency load shedding control device, including: a data acquisition module, an active power control module, and a low-frequency load shedding control optimization module; The data acquisition module is used to acquire low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and to acquire the current active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount; The active power control module is used to input the system active power disturbance data and the low-frequency load shedding frequency action value into a preset integrated active power control model of the power grid, so that the integrated active power control model of the power grid simulates the active power control process of the power grid, and when the frequency change of the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value, it outputs the total control quantity of low-frequency load shedding according to the system active power disturbance data. The low-frequency load shedding control optimization module is used to initialize and solve the optimal low-frequency load shedding control model with the optimization objective of maximizing frequency regulation performance gain, based on the total low-frequency load shedding control quantity and the frequency regulation coefficient corresponding to each load, determine the optimal low-frequency load shedding control quantity for each load, and perform low-frequency load shedding control based on the optimal low-frequency load shedding control quantity and the type of load.
[0021] Another embodiment of this application also provides a terminal device, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps of the low-frequency load reduction control method of this application.
[0022] Another embodiment of this application provides a computer-readable storage medium item, including: a stored computer program, which, when the computer program is running, controls the device where the computer-readable storage medium is located to perform the steps of the low-frequency load shedding control method of this application. Attached Figure Description
[0023] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0024] Figure 1 This is a flowchart illustrating a low-frequency load shedding control method provided in some embodiments of this application; Figure 2 This is a schematic diagram of the closed-loop control process of a power grid integrated active power control model provided in some embodiments of this application; Figure 3 This is a schematic diagram of the structure of a low-frequency load shedding control device provided in some embodiments of this application. Detailed Implementation
[0025] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.
[0027] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.
[0028] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0029] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.
[0030] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).
[0031] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.
[0032] Existing low-frequency load shedding technologies primarily rely on fixed frequency action values and fixed load shedding sequences. These methods have two significant limitations: First, they cannot differentiate load shedding based on the frequency regulation contribution capabilities of different loads, leading to the priority shedding of loads with weak or no frequency support capabilities, while loads that could truly help improve system frequency regulation performance are not utilized effectively. Second, existing low-frequency load shedding strategies cannot dynamically adjust based on the active power output characteristics and disturbance features of different types of photovoltaic grid-connected points. When photovoltaic fluctuations are severe or system active power disturbances are large, traditional strategies are prone to insufficient or excessive load shedding, thereby reducing system reliability. Furthermore, the frequency regulation capability of distributed photovoltaic systems is limited by power fluctuations and inverter control characteristics, making it difficult to accurately quantify their role in system frequency response. Existing methods also struggle to comprehensively assess the impact of coordinated regulation of different resources on frequency stability.
[0033] Please refer to Figure 1To address the problem of accurately calculating the total control quantity for low-frequency load shedding and achieving optimal load shedding allocation control among loads in scenarios where distributed photovoltaic power generation participates in frequency regulation, this application provides a low-frequency load shedding control method, including steps S101 to S103, specifically: S101: Obtain low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and collect the current system active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount.
[0034] Preferably, in some embodiments of this application, the frequency regulation coefficient corresponding to each load is determined by historical operating data, and the specific determination method is not limited in this application. The frequency regulation coefficient corresponding to each load is provided by the local power grid company and input into the low-frequency load shedding optimal control model in the subsequent step S103.
[0035] Preferably, in some embodiments of this application, the low-frequency load shedding frequency action value is decided by the power grid dispatch center, and this data is determined by the latest data from the regional power grid dispatch center. For the embodiments of this application, refer to... Figure 2 The subsequent integrated active power control model for the power grid also includes a low-frequency load shedding judgment module, which is used to determine whether the frequency change at the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value. The low-frequency load shedding frequency action value is input as fixed input data to the low-frequency load shedding judgment module as the decision value for low-frequency load shedding action.
[0036] Preferably, in some embodiments of this application, the low-frequency load shedding control data further includes: load type data, i.e., the load types required for low-frequency load shedding control in the subsequent S103 step. The total load type is collected in real time by the Energy Management System (EMS) and the load control device. Load types are divided into three categories: secondary critical loads (i.e., third loads), semi-critical loads (i.e., fourth loads), and critical loads (i.e., fifth loads). Secondary critical loads include minor industrial loads, generally equipment on industrial production lines that do not affect overall production efficiency in the short term; semi-critical loads include important industrial loads, large commercial loads, and residential electrical equipment loads, which are subject to secondary shedding and require negotiated shedding; critical loads include loads such as those from hospitals, data centers, military facilities, and administrative centers, which require approval for shedding in extreme cases. The type corresponding to each load is used as input data for low-frequency load shedding control in the subsequent S103 step to determine the order of shedding for each load.
[0037] S102: Input the system active power disturbance data and the low-frequency load shedding frequency action value into the preset power grid integrated active power control model, so that the power grid integrated active power control model simulates the active power control process of the power grid, and when the frequency change of the power grid's point of common coupling is greater than or equal to the low-frequency load shedding frequency action value, output the total low-frequency load shedding control quantity according to the system active power disturbance data.
[0038] Furthermore, in some embodiments of this application, the integrated active power control model of the power grid includes: a closed-loop control module and an operation constraint module; wherein, the closed-loop control module is used to characterize the coupling relationship between the frequency change at the point of common coupling of the power grid and the active power imbalance of the system; the active power imbalance of the system is composed of the active power disturbance data of the system, the active power support of thermal power units, the active power support of photovoltaic units, and the total control quantity of low-frequency load shedding; the operation constraint module is used to characterize the safe operating limits of the frequency regulation process.
[0039] This application explicitly characterizes the dynamic relationship between the frequency change at the point of common coupling and the active power imbalance of the system through a closed-loop control module. This allows load shedding judgment to move beyond a single frequency threshold triggering mode and make reasonable inferences based on grid inertia, damping, and the support capabilities of thermal and photovoltaic power. It quantifies the relationship between the grid's power-frequency coupling capability and load shedding control under distributed photovoltaic participation in frequency regulation, thereby significantly improving the adaptability of triggering decisions to the actual system state. Simultaneously, the introduction of an operational constraint module ensures that the frequency change rate, frequency deviation, and output of the main supporting power sources all meet safety boundaries before the entire low-frequency load shedding strategy is executed, avoiding secondary disturbances caused by insufficient load shedding response or excessive support.
[0040] To better illustrate the integrated active power control model of the power grid provided in the embodiments of this application, the following will combine... Figure 2 The control block diagram shown will be further explained.
[0041] Furthermore, in some embodiments of this application, the coupling relationship between the frequency variation at the power grid point of common coupling and the active power imbalance of the system is specifically as follows: in, This refers to the system's active power imbalance. This refers to the active power disturbance data of the system. This represents the active power support for thermal power units. This refers to the active power support of photovoltaic systems. This is the total control quantity for low-frequency load shedding; This refers to the frequency variation at the point of common coupling of the power grid. This is the low-frequency load shedding frequency action value; and These are the power grid inertial time constant and damping constant, respectively. It is a frequency domain operator.
[0042] refer to Figure 2 As shown, it can be understood that in the closed-loop control system shown in the above formula, For real-time input volume, , , In response The dynamic value is the control variable in the closed-loop system. Through complete closed-loop control, the power grid integrated active power control model outputs... .
[0043] Preferably, in some embodiments of this application, reference is made to Figure 2 The active power support of the thermal power unit needs to satisfy the following relationship: in, This refers to the frequency regulation coefficient of thermal power units; The power factor of the thermal power unit; This is the reheat time coefficient; The polynomial for doing work on the high-pressure cylinder of a thermal power unit; This represents the frequency regulation droop coefficient for thermal power plants.
[0044] Preferably, in some embodiments of this application, reference is made to Figure 2 The photovoltaic active power support needs to satisfy the following relationship: in, This refers to the photovoltaic frequency regulation coefficient. This represents the virtual inertia coefficient for photovoltaics.
[0045] As can be seen from the above formulas, this application dynamically incorporates the total low-frequency load shedding control quantity into the system's active power imbalance through a closed-loop control system, achieving strong coupling between the dynamic relationship between power and frequency and load shedding control. This closed-loop control system does not simply use traditional threshold-based judgments to determine whether to cut off loads. Instead, it simulates how the new system active power balance further affects the frequency change after cutting off the power corresponding to the total low-frequency load shedding control quantity when the frequency change at the grid's point of common coupling is greater than or equal to the low-frequency load shedding frequency action value. This lays the physical foundation for the subsequent optimal control optimization model for low-frequency load shedding. Furthermore, the closed-loop control system explicitly incorporates photovoltaic active power support when calculating the system's active power imbalance, thus solving the problem in existing technologies where it is difficult to accurately quantify the frequency support role of emerging power sources such as distributed photovoltaics.
[0046] Furthermore, in some embodiments of this application, the operational constraint module includes: a first constraint condition for constraining the rate of change of frequency; a second constraint condition for constraining the frequency deviation; a third constraint condition for constraining the total control quantity of low-frequency load shedding; a fourth constraint condition for constraining the active power support quantity of the thermal power unit; and a fifth constraint condition for constraining the active power support quantity of the photovoltaic power unit.
[0047] It is understandable that the integrated active power control model of the power grid involves closed-loop control, among other things. , , as well as The control input needs to satisfy the corresponding constraints to ensure the final output. The effectiveness and safety of [the product / service].
[0048] Preferably, in some embodiments of this application, the first constraint condition is specifically: in, The rate of change of the power grid frequency; This indicates the upper limit of the frequency change rate. The first constraint prevents the system frequency from dropping too rapidly, which could lead to relay protection malfunctions or unit load shedding.
[0049] Preferably, in some embodiments of this application, the second constraint condition is specifically as follows: in, This represents the maximum frequency deviation. The second constraint ensures that the system returns to an acceptable stable range after load reduction.
[0050] Preferably, in some embodiments of this application, the third constraint condition is specifically: in, and These represent the lower and upper limits of the total amount of low-frequency load shedding control, respectively. The third constraint can help avoid the loss of social benefits caused by excessive load shedding.
[0051] Preferably, in some embodiments of this application, the fourth constraint condition is specifically: in, and These are the lower and upper limits for frequency regulation of thermal power units, respectively.
[0052] Preferably, in some embodiments of this application, the fifth constraint condition is specifically: in, and These represent the lower and upper limits of photovoltaic frequency regulation power, respectively. The fourth and fifth constraints ensure that supporting resources will not be overloaded due to improper scheduling.
[0053] As can be seen from the above embodiments, the above constraints together construct a controllable frequency modulation space, so that the calculation of the total control quantity for low-frequency load shedding not only pursues the effect of frequency restoration, but also takes into account system safety, equipment limits and user-side load attributes.
[0054] S103: Based on the total low-frequency load shedding control quantity and the frequency regulation coefficient corresponding to each load, initialize and solve the optimal low-frequency load shedding control model with the optimization objective of maximizing frequency regulation performance gain, determine the optimal low-frequency load shedding control quantity for each load, and perform low-frequency load shedding control based on the optimal low-frequency load shedding control quantity and the type of load.
[0055] Further, in some embodiments of this application, the optimal control model for low-frequency load shedding includes: an optimization objective function with the goal of maximizing frequency modulation performance gain and low-frequency load shedding control quantity constraints corresponding to various loads; the initialization and solution of the optimal control model for low-frequency load shedding with the goal of maximizing frequency modulation performance gain based on the total low-frequency load shedding control quantity and the frequency modulation coefficients corresponding to each load includes: The optimization objective function is initialized based on the frequency regulation coefficients corresponding to the various loads. Initialize the low-frequency load shedding control quantity constraint based on the total low-frequency load shedding control quantity; The initial low-frequency load shedding optimal control model is solved using a preset mathematical programming algorithm.
[0056] Preferably, in some embodiments of this application, the step of solving the initialized low-frequency load shedding optimal control model using a preset mathematical programming algorithm includes, but is not limited to, traditional mathematical programming algorithms such as heuristic algorithms and mixed-integer programming algorithms. This application does not limit the specific solution process of the low-frequency load shedding optimal control model.
[0057] The objective function is initialized by frequency regulation coefficients, allowing for precise quantification of the differences in the contribution of different loads to frequency regulation. For example, the shedding of certain loads can rapidly reduce the active power demand of the power grid, while other loads contribute almost nothing to frequency improvement. The total power of low-frequency load shedding is used to define constraints, enabling the model to optimize performance while meeting system recovery requirements. Solving the problem using mathematical programming algorithms allows the optimization process to quickly find the optimal solution among a large number of loads with complex attributes, avoiding redundant load shedding or improper load selection caused by manual settings.
[0058] Furthermore, in some embodiments of this application, the frequency modulation coefficient includes: a low-frequency load reduction penalty constraint coefficient and a frequency modulation performance score coefficient; the optimization objective function is specifically: in, To optimize the objective function; This is a frequency modulation performance gain evaluation function; This refers to the steady-state quantity of the system's active power imbalance. This refers to the active power disturbance data of the system. The number of the first load that does not have frequency-sensitive characteristics; The number of second loads whose power varies with frequency; For the first The low-frequency load shedding control quantity of the first load; For the first The low-frequency load shedding control quantity of the second load; and The first The first load and the first The frequency regulation performance score coefficient of the second load; and The first The first load and the first The low-frequency load shedding penalty constraint coefficient for the second load; This represents the function for maximizing the gain evaluation of frequency modulation performance.
[0059] Understandably, the frequency regulation performance score coefficient quantifies the frequency recovery effect after various load shedding operations, causing the system to prioritize shedding loads with a significant impact on frequency regulation, thereby increasing the benefit of frequency recovery per unit load shedding. The penalty constraint coefficient, on the other hand, reflects the importance of the load and the impact of its shedding. For example, industrial production loads require a higher penalty coefficient to avoid losses caused by excessive shedding. By incorporating both types of coefficients into the objective function, the optimization model can automatically reconcile the contradiction between frequency regulation performance and social benefit costs, ensuring rapid system frequency stabilization while avoiding unnecessary impact on critical loads.
[0060] Furthermore, in some embodiments of this application, the low-frequency load shedding control constraints corresponding to various loads are specifically as follows: in, and These represent the lower and upper limits of the total low-frequency load shedding control. It should be noted that the various loads mentioned here are classified as first loads and second loads. That is, the first and second loads mentioned in this embodiment are one classification method for different types of loads. However, the load classification used in the subsequent actual low-frequency load shedding control will be a different classification method for the loads.
[0061] Furthermore, in some embodiments of this application, the types of loads include: a third load that does not affect industrial production efficiency, a fourth load that needs to be negotiated and removed, and a fifth load that needs to be reported and approved for removal; the low-frequency load reduction control based on the optimal low-frequency load reduction control amount and the type of load includes: performing low-frequency load reduction control on the corresponding loads in the order of the third load, the fourth load, and the fifth load, according to the optimal low-frequency load reduction control amount.
[0062] To better understand how to perform low-frequency load shedding control based on the solution results of the low-frequency load shedding optimal control model in the embodiments of this application, a specific example will be used for explanation below.
[0063] Assuming that after solving the optimal control model for low-frequency load shedding, the set of optimal low-frequency load shedding control variables that are not zero is: ,in, This is the set of the first loads that will need to participate in the low-frequency load shedding control. This is the set of the second loads that will need to participate in the low-frequency load shedding control. Further assumptions... It includes three primary loads: A, B, and C. This includes three secondary loads: D, E, and F. The optimal low-frequency load shedding control values for the three primary loads, A, B, and C, are respectively: , as well as The optimal low-frequency load shedding control values corresponding to the three secondary loads, D, E, and F, are respectively: , as well as Then, based on the load type corresponding to each first load and second load (i.e., the third load, fourth load, and fifth load), the load shedding control is performed sequentially according to its corresponding optimal low-frequency load shedding control value. It can be understood that the sum of the optimal low-frequency load shedding control values for each first load and second load obtained above is... .
[0064] By dividing the load into third, fourth, and fifth loads and setting a strict load shedding sequence, the low-frequency load shedding process can balance grid security and user-side acceptability. This tiered strategy ensures that loads with the least impact on production and user experience are prioritized for shedding in the initial stages of load shedding, thereby minimizing negative impacts while meeting system frequency restoration requirements. For loads requiring negotiation or approval, the shedding sequence is postponed, ensuring they are only executed when the system faces a deeper frequency crisis, thus avoiding overreaction to minor disturbances. Furthermore, by combining the optimal shedding amount obtained from the aforementioned optimal control model, the shedding of each load level can be based on actual frequency regulation contribution and social cost assessment, thus forming a load shedding decision-making system that is scientific, safe, and fair.
[0065] As can be seen from the above embodiments, the low-frequency load shedding control method provided by this application has the following advantages: (1) This application quantitatively characterizes the relationship between the power frequency coupling capability of the power grid and the load shedding control under the participation of distributed photovoltaic in frequency regulation based on the power frequency coupling model; (2) This application proposes to strongly couple the dynamic relationship of the power frequency of the power grid with the system low-frequency load shedding control optimization model, providing clear guidance for the optimization of low-frequency load shedding control of the power grid in areas with high penetration of distributed photovoltaic.
[0066] In summary, the low-frequency load shedding control method provided in this application has the following advantages compared to the prior art: First, by acquiring the frequency regulation coefficients and low-frequency load shedding frequency action values corresponding to each load, and combining them with the current power grid's active power disturbance data, the low-frequency load shedding control no longer relies on static settings, but can adjust the triggering conditions in real time according to the disturbance scale, load characteristics, and the photovoltaic support level for frequency. Second, by inputting the system active power disturbance and the low-frequency load shedding frequency action values into the power grid's integrated active power control model for simulation, the calculation of the total control quantity of low-frequency load shedding can better conform to the actual power grid inertia, damping, and multi-source support structure, significantly improving the accuracy of load shedding triggering and the matching degree of response. Furthermore, by constructing an optimal low-frequency load shedding control model with the goal of maximizing frequency regulation performance gain, the available load shedding amount is allocated differently for different loads, so that the load shedding process takes into account frequency regulation contribution, load attributes, and system stability, achieving the maximum frequency regulation benefit under the same load shedding amount. Finally, by implementing a graded load reduction sequence based on load type, the required load reduction can be completed while minimizing external impacts on industrial production, user experience, and other aspects, thus balancing system stability and load-side acceptability.
[0067] like Figure 3As shown, based on the above-described method embodiments, this application provides a low-frequency load shedding control device, including: a data acquisition module 201, an active power control module 202, and a low-frequency load shedding control optimization module 203; the data acquisition module 201 is used to acquire low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and to acquire the current system active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount; the active power control module 202 is used to convert the system active power disturbance data and the low-frequency... The load shedding frequency action value is input into a preset integrated active power control model of the power grid, so that the integrated active power control model of the power grid simulates the active power control process of the power grid. When the frequency change at the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value, the low-frequency load shedding total control quantity is output according to the active power disturbance data of the system. The low-frequency load shedding control optimization module 203 is used to initialize and solve the low-frequency load shedding optimal control model with the optimization objective of maximizing the frequency regulation performance gain according to the low-frequency load shedding total control quantity and the frequency regulation coefficient corresponding to each load, determine the optimal low-frequency load shedding control quantity for each load, and perform low-frequency load shedding control according to the optimal low-frequency load shedding control quantity and the type of load.
[0068] Furthermore, in some embodiments of this application, the integrated active power control model of the power grid includes: a closed-loop control module and an operation constraint module; wherein, the closed-loop control module is used to characterize the coupling relationship between the frequency change at the point of common coupling of the power grid and the active power imbalance of the system; the active power imbalance of the system is composed of the active power disturbance data of the system, the active power support of thermal power units, the active power support of photovoltaic units, and the total control quantity of low-frequency load shedding; the operation constraint module is used to characterize the safe operating limits of the frequency regulation process.
[0069] Furthermore, in some embodiments of this application, the coupling relationship between the frequency variation at the power grid point of common coupling and the active power imbalance of the system is specifically as follows: in, This refers to the system's active power imbalance. This refers to the active power disturbance data of the system. This represents the active power support for thermal power units. This refers to the active power support of photovoltaic systems. This is the total control quantity for low-frequency load shedding; This refers to the frequency variation at the point of common coupling of the power grid. This is the low-frequency load shedding frequency action value; and These are the power grid inertial time constant and damping constant, respectively. It is a frequency domain operator.
[0070] Furthermore, in some embodiments of this application, the operational constraint module includes: a first constraint condition for constraining the rate of change of frequency; a second constraint condition for constraining the frequency deviation; a third constraint condition for constraining the total control quantity of low-frequency load shedding; a fourth constraint condition for constraining the active power support quantity of the thermal power unit; and a fifth constraint condition for constraining the active power support quantity of the photovoltaic power unit.
[0071] Further, in some embodiments of this application, the low-frequency load shedding optimal control model includes: an optimization objective function with the goal of maximizing frequency modulation performance gain and low-frequency load shedding control quantity constraints corresponding to various loads; the low-frequency load shedding control optimization module 203 includes: a first initialization unit, a second initialization unit, and a model solving unit; the low-frequency load shedding control optimization module 203 is used to initialize and solve the low-frequency load shedding optimal control model with the goal of maximizing frequency modulation performance gain according to the total low-frequency load shedding control quantity and the frequency modulation coefficients corresponding to each load, including: the first initialization unit is used to initialize the optimization objective function according to the frequency modulation coefficients corresponding to various loads; the second initialization unit is used to initialize the low-frequency load shedding control quantity constraints according to the total low-frequency load shedding control quantity; the model solving unit is used to solve the initialized low-frequency load shedding optimal control model through a preset mathematical programming algorithm.
[0072] Furthermore, in some embodiments of this application, the frequency modulation coefficient includes: a low-frequency load reduction penalty constraint coefficient and a frequency modulation performance score coefficient; the optimization objective function is specifically: in, To optimize the objective function; This is a frequency modulation performance gain evaluation function; This refers to the steady-state quantity of the system's active power imbalance. This refers to the active power disturbance data of the system. The number of the first load that does not have frequency-sensitive characteristics; The number of second loads whose power varies with frequency; For the first The low-frequency load shedding control quantity of the first load; For the first The low-frequency load shedding control quantity of the second load; and The first The first load and the first The frequency regulation performance score coefficient of the second load; and The first The first load and the first The low-frequency load shedding penalty constraint coefficient for the second load; This represents the function for maximizing the gain evaluation of frequency modulation performance.
[0073] Furthermore, in some embodiments of this application, the types of loads include: a third load that does not affect industrial production efficiency, a fourth load that needs to be negotiated and removed, and a fifth load that needs to be reported and approved for removal; the low-frequency load reduction control based on the optimal low-frequency load reduction control amount and the type of load includes: performing low-frequency load reduction control on the corresponding loads in the order of the third load, the fourth load, and the fifth load, according to the optimal low-frequency load reduction control amount.
[0074] It is understood that the above-described device embodiments correspond to the method embodiments of this application, and can implement the low-frequency load reduction control method provided by any of the above-described method embodiments of this application.
[0075] In summary, the low-frequency load shedding control device provided in this application has the following advantages compared to the prior art: First, by acquiring the frequency regulation coefficients and low-frequency load shedding frequency action values corresponding to each load, and combining them with the current power grid's active power disturbance data, the low-frequency load shedding control no longer relies on static settings, but can adjust the triggering conditions in real time according to the disturbance scale, load characteristics, and the photovoltaic support level for frequency. Second, by inputting the system active power disturbance and the low-frequency load shedding frequency action values into the power grid integrated active power control model for simulation, the calculation of the total control quantity of low-frequency load shedding can better conform to the actual power grid inertia, damping, and multi-source support structure, significantly improving the accuracy of load shedding triggering and the matching degree of response. Furthermore, by constructing an optimal low-frequency load shedding control model with the goal of maximizing frequency regulation performance gain, the available load shedding amount is allocated differently for different loads, so that the load shedding process takes into account frequency regulation contribution, load attributes, and system stability, achieving the maximum frequency regulation benefit under the same load shedding amount. Finally, by implementing a graded load reduction sequence based on load type, the required load reduction can be completed while minimizing external impacts on industrial production, user experience, and other aspects, thus balancing system stability and load-side acceptability.
[0076] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided in this application, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.
[0077] Based on the above embodiments of the low-frequency load shedding control method, another embodiment of this application provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the low-frequency load shedding control method of any embodiment of this application.
[0078] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete this application. The one or more module units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.
[0079] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.
[0080] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.
[0081] Based on the above-described method embodiments, another embodiment of this application provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the low-frequency load reduction control method described in any of the above-described method embodiments of this application.
[0082] The modules / units integrated in the device / terminal equipment, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.
Claims
1. A low-frequency load shedding control method, characterized in that, include: Acquire low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and collect the current system active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount; The system active power disturbance data and the low-frequency load shedding frequency action value are input into a preset integrated active power control model of the power grid so that the integrated active power control model of the power grid simulates the active power control process of the power grid. When the frequency change of the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value, the total control quantity of low-frequency load shedding is output according to the system active power disturbance data. Based on the total low-frequency load shedding control quantity and the frequency regulation coefficient corresponding to each load, the optimal low-frequency load shedding control model with the optimization objective of maximizing frequency regulation performance gain is initialized and solved. The optimal low-frequency load shedding control quantity for each load is determined, and low-frequency load shedding control is performed according to the optimal low-frequency load shedding control quantity and the type of load.
2. The low-frequency load shedding control method as described in claim 1, characterized in that, The integrated active power control model of the power grid includes a closed-loop control module and an operation constraint module. The closed-loop control module is used to characterize the coupling relationship between the frequency change at the point of common coupling of the power grid and the active power imbalance of the system. The active power imbalance of the system is composed of the active power disturbance data of the system, the active power support of thermal power units, the active power support of photovoltaic units, and the total control quantity of low-frequency load shedding. The operation constraint module is used to characterize the safe operating limits of the frequency regulation process.
3. The low-frequency load shedding control method as described in claim 2, characterized in that, The coupling relationship between the frequency change at the power grid point of common coupling and the active power imbalance of the system is as follows: in, This refers to the system's active power imbalance. This refers to the active power disturbance data of the system. This represents the active power support for thermal power units. This refers to the active power support of photovoltaic systems. This is the total control quantity for low-frequency load shedding; This refers to the frequency variation at the point of common coupling of the power grid. This is the low-frequency load shedding frequency action value; and These are the power grid inertial time constant and damping constant, respectively. It is a frequency domain operator.
4. The low-frequency load shedding control method as described in claim 2, characterized in that, The operational constraint module includes: a first constraint condition for constraining the rate of frequency change; a second constraint condition for constraining the frequency deviation; a third constraint condition for constraining the total control quantity of low-frequency load shedding; a fourth constraint condition for constraining the active power support quantity of the thermal power unit; and a fifth constraint condition for constraining the active power support quantity of the photovoltaic power unit.
5. The low-frequency load shedding control method as described in claim 1, characterized in that, The optimal control model for low-frequency load shedding includes: an objective function that maximizes frequency regulation performance gain and constraints on low-frequency load shedding control quantities corresponding to various loads; the initialization and solution of the optimal control model for low-frequency load shedding, which aims to maximize frequency regulation performance gain, based on the total low-frequency load shedding control quantity and the frequency regulation coefficients corresponding to each load includes: The optimization objective function is initialized based on the frequency regulation coefficients corresponding to the various loads. Initialize the low-frequency load shedding control quantity constraint based on the total low-frequency load shedding control quantity; The initial low-frequency load shedding optimal control model is solved using a preset mathematical programming algorithm.
6. The low-frequency load shedding control method as described in claim 5, characterized in that, The frequency modulation coefficients include: low-frequency load reduction penalty constraint coefficients and frequency modulation performance score coefficients; the optimization objective function is specifically: in, To optimize the objective function; This is the frequency modulation performance gain evaluation function; This refers to the steady-state quantity of the system's active power imbalance. This refers to the active power disturbance data of the system. The number of the first load that does not have frequency-sensitive characteristics; The number of second loads whose power varies with frequency; For the first The low-frequency load shedding control quantity of the first load; For the first The low-frequency load shedding control quantity of the second load; and The first The first load and the first Frequency regulation performance score coefficient of the second load; and The first The first load and the first The low-frequency load shedding penalty constraint coefficient for the second load; This represents the function for maximizing the gain evaluation of frequency modulation performance.
7. The low-frequency load shedding control method as described in claim 1, characterized in that, The types of loads include: a third load that does not affect industrial production efficiency, a fourth load that needs to be negotiated and removed, and a fifth load that needs to be reported and approved for removal; the low-frequency load reduction control based on the optimal low-frequency load reduction control amount and the type of load includes: performing low-frequency load reduction control on the corresponding loads in the order of the third load, the fourth load, and the fifth load, according to the optimal low-frequency load reduction control amount.
8. A low-frequency load shedding control device, characterized in that, include: Data acquisition module, active power control module, and low-frequency load shedding control optimization module; The data acquisition module is used to acquire low-frequency load shedding control data when distributed photovoltaic power participates in frequency regulation and to acquire the current system active power disturbance data of the power grid; wherein, the low-frequency load shedding control data includes: the frequency regulation coefficient corresponding to each load and the low-frequency load shedding frequency action value; the frequency regulation coefficient is used to determine the frequency regulation performance gain brought about by the corresponding load executing the low-frequency load shedding control amount; The active power control module is used to input the system active power disturbance data and the low-frequency load shedding frequency action value into a preset integrated active power control model of the power grid, so that the integrated active power control model of the power grid simulates the active power control process of the power grid, and when the frequency change of the point of common coupling of the power grid is greater than or equal to the low-frequency load shedding frequency action value, it outputs the total control quantity of low-frequency load shedding according to the system active power disturbance data. The low-frequency load shedding control optimization module is used to initialize and solve the optimal low-frequency load shedding control model with the optimization objective of maximizing frequency regulation performance gain, based on the total low-frequency load shedding control quantity and the frequency regulation coefficient corresponding to each load, determine the optimal low-frequency load shedding control quantity for each load, and perform low-frequency load shedding control based on the optimal low-frequency load shedding control quantity and the type of load.
9. A terminal device, characterized in that, The system includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a low-frequency load shedding control method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform a low-frequency load reduction control method as described in any one of claims 1 to 7.
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