Large-scale load transient response system and method for power grid

Abstract

The invention discloses a large-scale load transient response system and method for a power grid, and relates to the technical field of power systems, and the system comprises a data collection module, a central processing unit, a load adjustment module, a user interface module, a safety protection module, and an output voltage and frequency adjustment module. The data acquisition module is used for acquiring operation data of a power grid in real time and transmitting the data to the central processing unit through a high-speed communication network; the large-scale load transient response system can effectively improve the transient response capability of the power grid, ensures the stable operation of the power grid under the large-scale load condition, and can balance the load of the power grid, reduce the energy waste and improve the power utilization efficiency through real-time monitoring and rapid adjustment under the condition of not influencing the normal power utilization of a user. And meanwhile, an output voltage and frequency adjustment module is introduced, so that the loss in the energy conversion process is minimized, and the operation efficiency and the environmental protection performance of the power grid are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a large-scale load transient response system and method for a power grid. Background Art

[0002] During the operation of the power grid, the instantaneous change of the load will affect the voltage and frequency of the power grid, resulting in unstable operation of the power grid. In order to solve this problem, the existing technology usually adopts a large-scale load transient response system to adjust the output voltage and frequency of the power grid.

[0003] However, the response speed of existing control systems is limited, making it difficult to meet the needs of large-scale instantaneous load changes; when the load changes drastically, the system may experience frequency fluctuations, affecting the stability of the power grid. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a large-scale load transient response system and method for a power grid, which can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a large-scale load transient response system for a power grid, which includes a data acquisition module, a central processing unit, a load adjustment module, a user interface module, a safety protection module, and an output voltage and frequency adjustment module;

[0009] The data acquisition module is used to collect the operation data of the power grid in real time and transmit the data to the central processing unit through a high-speed communication network;

[0010] The central processing unit is used to receive data from the data acquisition module, analyze the power grid status, and determine whether load adjustment is required;

[0011] The load adjustment module realizes rapid adjustment of the grid load by controlling the switch device, the transformer tap adjuster, and the reactive power compensation device according to the instructions of the central processing unit;

[0012] The user interface module is used to allow the grid operator to monitor the system status and manually intervene in the load regulation process when necessary;

[0013] The safety protection module is used to monitor the operating status of the entire system and immediately activate the protection mechanism once an abnormality is detected;

[0014] The output voltage and frequency adjustment module includes a voltage adjustment unit and a frequency adjustment unit, and both the voltage adjustment unit and the frequency adjustment unit are controlled by a central processing unit.

[0015] As a preferred solution of the large-scale load transient response system for power grid described in the present invention, the collected operation data of the power grid includes voltage, current, frequency and phase.

[0016] As a preferred solution of the large-scale load transient response system for power grid described in the present invention, the voltage regulation unit adjusts the output voltage in real time to match the current load demand by dynamically adjusting the transformer tap or using other voltage regulation equipment.

[0017] As a preferred solution of the large-scale load transient response system for power grid described in the present invention, the frequency regulation unit adjusts the power grid frequency by controlling the power output of the generator or activating the energy storage system.

[0018] As a preferred solution of the large-scale load transient response system for the power grid described in the present invention, the energy storage system includes battery energy storage and capacitors, which provide instantaneous energy support during charging and discharging and smooth out power grid load fluctuations.

[0019] As a preferred solution of the large-scale load transient response system for power grid of the present invention, the load regulation module for the large-scale load transient response system for power grid includes:

[0020] The data acquisition module collects the operating data of the voltage, current and frequency of the power grid. The calculation formula for data acquisition is as follows:

[0021] DataCollection(t)=Voltage(t), Current(t), Frequency(t)

[0022] Among them, t is the time point, Voltage(t), Current(t), Frequency(t) are the data of voltage, current and frequency respectively;

[0023] The collected data is analyzed using algorithms and preset models to evaluate whether the current grid status meets the requirements of load demand, power generation capacity, and grid transmission capacity. The analysis formula is as follows:

[0024] GridStatus(t)=Analyze(t,DataCollction(t))

[0025] Among them, Analyze is an analysis function used to evaluate the power grid status;

[0026] Based on the analysis results, if it is detected that the load is too large, the regulation mechanism will be automatically activated to adjust the output power of the power station, activate the backup power supply, or notify the adjustable load to reduce power usage;

[0027] After implementing the regulation measures, the load transient response system continues to monitor the grid response;

[0028] The algorithm includes the least squares method and the maximum a posteriori estimation. The least squares method estimates the unknown parameters by minimizing the sum of squares of the differences between the observed values ​​and the calculated values. The formula of the least squares method is as follows:

[0029] LS(t)=Minimize(ObservedValue(t), CalculatedValue(t))

[0030] Among them, ObservedValue(t) is the observed value and CalculatedValue(t) is the calculated value.

[0031] As a preferred solution of the large-scale load transient response system for power grids described in the present invention, the maximum a posteriori estimation is to establish a priori probability distribution of power grid state parameters based on historical data, including:

[0032] Use the collected real-time data to construct a likelihood function and combine the prior distribution with the likelihood function;

[0033] The posterior distribution is calculated by the Bayesian formula, and the formula for the maximum a posteriori estimation is as follows:

[0034] MAP(t)=Maximize(Prior(t),Likelihood(t))

[0035] Among them, Prior(t) is the prior probability distribution, Likelihood(t) is the likelihood function;

[0036] The preset model is a mathematical model of the distribution network characteristics based on the state estimation method of load classification and complex network clipping, aiming at the distribution network characteristics of three-phase imbalance and uneven basic data quality.

[0037] In a second aspect, the present invention provides a large-scale load transient response method for a power grid, which includes: a data acquisition module to collect power grid operation data in real time;

[0038] The central processing unit receives the grid status data and analyzes the data using the least square method and maximum a posteriori estimation algorithm to evaluate whether the grid status meets the requirements of load demand, power generation capacity and grid transmission capacity;

[0039] According to the analysis results, if it is detected that the grid load exceeds the predetermined range, the load adjustment module is started, and the corresponding load adjustment measures are executed by controlling the switch device, the transformer tap regulator, the reactive compensation device and the energy storage system. At the same time, the output voltage and frequency adjustment module adjusts the output voltage and frequency of the grid according to the instructions of the central processing unit.

[0040] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, the processor implements the steps of a large-scale load transient response system for a power grid.

[0041] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, the steps of implementing a large-scale load transient response system for a power grid are implemented.

[0042] Compared with the prior art, the beneficial effect of the present invention is that the present invention provides a large-scale load transient response system, which can effectively improve the transient response capability of the power grid and ensure the stable operation of the power grid under large-scale load conditions. Through real-time monitoring and rapid adjustment, the system can balance the power grid load without affecting the normal power consumption of users, reduce energy waste, and improve the economy and reliability of the power grid. At the same time, the output voltage and frequency adjustment modules introduced minimize the losses in the energy conversion process, further improving the efficiency and environmental protection performance of the power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A system structure diagram of a large-scale load transient response system and method for a power grid provided by an embodiment of the present invention;

[0045] Figure 2 An internal structural diagram of a computer device for a large-scale load transient response system and method for a power grid provided by an embodiment of the present invention.

[0046] Figure 3A system control flow chart of an overload of a large-scale load transient response system and method for a power grid provided by an embodiment of the present invention; DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present invention more understandable, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0049] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0050] Example 1, reference Figure 1-Figure 3 , which is the first embodiment of the present invention, and which provides a large-scale load transient response system for a power grid, comprising:

[0051] The present application provides a method that can effectively solve the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the large-scale load transient response system for the power grid;

[0052] Figure 1 A system structure diagram of a large-scale load transient response system and method for a power grid is shown, including:

[0053] A large-scale load transient response system for a power grid, the transient response system comprising a data acquisition module, a central processing unit, a load adjustment module, a user interface module, a safety protection module, and an output voltage and frequency adjustment module;

[0054] The data acquisition module is used to collect the operation data of the power grid in real time and transmit the data to the central processing unit through a high-speed communication network; the operation data of the collected power grid includes but is not limited to the parameters of voltage, current, frequency and phase.

[0055] The central processing unit is used to receive data from the data acquisition module and use advanced algorithms to analyze the power grid status to determine whether load regulation is required;

[0056] The load regulation module realizes rapid regulation of the grid load by controlling the switchgear, transformer tap regulator, and reactive power compensation device according to the instructions of the central processing unit;

[0057] The user interface module is used to allow the grid operator to monitor the system status and manually intervene in the load regulation process when necessary;

[0058] The safety protection module is used to monitor the operating status of the entire system. Once an abnormal situation is detected, the protection mechanism is immediately activated to ensure the safe operation of the system;

[0059] The output voltage and frequency adjustment module comprises a voltage adjustment unit and a frequency adjustment unit, and both the voltage adjustment unit and the frequency adjustment unit are controlled by the central processing unit.

[0060] The voltage regulation unit adjusts the output voltage in real time to match the current load demand by dynamically adjusting the transformer taps or using other voltage regulation devices; the frequency regulation unit fine-tunes the grid frequency by precisely controlling the power output of the generator or activating the energy storage system.

[0061] The energy storage system includes battery storage and capacitors, which can quickly charge and discharge to provide instantaneous energy support to smooth grid load fluctuations. When the grid load decreases, the central processing unit adjusts the actuator to convert excess electrical energy into heat or cold energy for storage; when needed, the stored energy is released to meet load demand. The use of the energy storage system provides instantaneous energy support, effectively smooths grid load fluctuations, and reduces dependence on traditional peak-shaving facilities.

[0062] The specific method of using the load regulation module for the large-scale load transient response system of the power grid includes the following steps:

[0063] S1: The data acquisition module collects the operating data of the voltage, current and frequency of the power grid;

[0064] The formula for data collection is expressed as:

[0065] DataCollection(t)=Voltage(t), Current(t), Frequency(t)

[0066] Among them, t is the time point, Voltage(t), Current(t), Frequency(t) are the data of voltage, current and frequency respectively.

[0067] S2: Analyze the collected data using advanced algorithms and preset models to evaluate whether the current grid status meets the requirements of load demand, power generation capacity and grid transmission capacity;

[0068] The analysis formula is expressed as:

[0069] GridStatus(t)=Analyze(t, DataCollection(t))

[0070] Among them, Analyze is an analysis function used to evaluate the power grid status.

[0071] Advanced algorithms include least squares and maximum a posteriori estimation. Least squares estimates the unknown parameters by minimizing the sum of squares of the differences between observed and calculated values, providing accurate estimates of the voltage magnitude and phase of the grid state.

[0072] The formula of the least squares method is expressed as:

[0073] LS(t)=Minimize(ObservedValue(t), CalculatedValue(t))

[0074] Among them, ObservedValue(t) is the observed value and CalculatedValue(t) is the calculated value.

[0075] Maximum a posteriori estimation is to establish a priori probability distribution of power grid state parameters based on historical data, and use the collected real-time data to build a likelihood function. The likelihood function describes the probability of observing current data under different power grid state parameters. The prior distribution is combined with the likelihood function, and the posterior distribution is calculated through the Bayesian formula. The posterior distribution integrates prior information and observed data to provide knowledge for updating the power grid state parameters. In the posterior distribution, the parameter value that maximizes the posterior probability is found.

[0076] The formula for maximum a posteriori estimation is expressed as:

[0077] MAP(t)=Maximize(Prior(t),Likelihood(t))

[0078] Among them, Prior(t) is the prior probability distribution and Likelihood(t) is the likelihood function.

[0079] By applying advanced algorithms such as least squares and maximum a posteriori estimation, the system can obtain more accurate grid state estimation and improve the accuracy of load regulation.

[0080] The preset model is aimed at the characteristics of the distribution network with three-phase imbalance and uneven basic data quality. The state estimation method based on load classification and complex network clipping is used to establish a mathematical model of the distribution network characteristics.

[0081] S3: Based on the analysis results, if the load is detected to be too large, the system will automatically start the regulation mechanism to adjust the output power of the power station, enable the backup power supply, or notify the adjustable load to reduce power usage;

[0082] By controlling the switchgear, the backup power supply is enabled or some non-critical loads are cut off; the transformer tap regulator is adjusted to change the output voltage of the transformer; and the power factor of the power grid is kept stable through the reactive power compensation device.

[0083] S4: After implementing the regulation measures, the load transient response system continues to monitor the grid response to ensure that the load regulation achieves the expected effect.

[0084] First of all, compared with the prior art, the large-scale load transient response system provided by the present invention collects key operating parameters such as voltage, current, frequency, etc. of the power grid in real time through the data acquisition module. Combined with the advanced algorithm adopted by the central processing unit, it can quickly and accurately analyze the power grid status, realize instantaneous response and precise adjustment of the power grid load, greatly improve the stability and power supply quality of the power grid, and reduce the risk of power supply interruption caused by power grid load fluctuations.

[0085] Secondly, the load regulation module of this system can quickly adjust the grid load by controlling the switching equipment, transformer tap regulator and reactive power compensation device according to the instructions of the central processing unit, effectively overcoming the problems of slow response speed and unsatisfactory regulation effect in the existing technology, and improving the operating efficiency and economic benefits of the grid.

[0086] Thirdly, the design of the user interface module and the safety protection module enhances the operability and safety of the system. Operators can monitor the system status through the user interface module and make manual interventions when necessary, while the safety protection module can monitor the entire system in real time to ensure that the protection mechanism is quickly activated in abnormal situations to ensure the safety of the power grid.

[0087] In addition, the introduction of output voltage and frequency adjustment modules, especially the application of voltage adjustment unit and frequency adjustment unit, can adjust the output voltage and frequency in real time to adapt to different load requirements, further optimizing the power supply quality of the power grid.

[0088] In summary, the present invention provides a large-scale load transient response system, which can effectively improve the transient response capability of the power grid and ensure the stable operation of the power grid under large-scale load conditions. Through real-time monitoring and rapid adjustment, the system can balance the power grid load without affecting the normal power consumption of users, reduce energy waste, and improve the economy and reliability of the power grid. At the same time, the output voltage and frequency adjustment modules introduced can minimize the losses in the energy conversion process, further improving the efficiency and environmental protection performance of the power grid operation.

[0089] Furthermore, the present embodiment also provides a large-scale load transient response method for a power grid, comprising: a data acquisition module collecting power grid operation data in real time;

[0090] The central processing unit receives the grid status data and analyzes the data using the least square method and maximum a posteriori estimation algorithm to evaluate whether the grid status meets the requirements of load demand, power generation capacity and grid transmission capacity;

[0091] According to the analysis results, if it is detected that the grid load exceeds the predetermined range, the load adjustment module is started, and the corresponding load adjustment measures are executed by controlling the switch device, the transformer tap regulator, the reactive compensation device and the energy storage system. At the same time, the output voltage and frequency adjustment module adjusts the output voltage and frequency of the grid according to the instructions of the central processing unit.

[0092] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 2 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a large-scale load transient response system for a power grid is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0093] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which implements the following steps when the computer program is executed by a processor: a data acquisition module, a central processing unit, a load adjustment module, a user interface module, a safety protection module, and an output voltage and frequency adjustment module;

[0094] The data acquisition module is used to collect the operation data of the power grid in real time and transmit the data to the central processing unit through a high-speed communication network;

[0095] The central processing unit is used to receive data from the data acquisition module, analyze the power grid status, and determine whether load adjustment is required;

[0096] The load adjustment module realizes rapid adjustment of the grid load by controlling the switch device, the transformer tap adjuster, and the reactive power compensation device according to the instructions of the central processing unit;

[0097] The user interface module is used to allow the grid operator to monitor the system status and manually intervene in the load regulation process when necessary;

[0098] The safety protection module is used to monitor the operating status of the entire system and immediately activate the protection mechanism once an abnormality is detected;

[0099] The output voltage and frequency adjustment module includes a voltage adjustment unit and a frequency adjustment unit, and both the voltage adjustment unit and the frequency adjustment unit are controlled by a central processing unit.

[0100] Example 2, reference Figure 1 - Figure 2 , which is the second embodiment of the present invention, and this embodiment provides a large-scale load transient response system for a power grid. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0101] In order to verify the effect of the proposed large-scale load transient response system for power grids, a typical metropolitan power grid was selected as the test object. The power grid covers commercial areas, industrial areas and residential areas, with a total power supply capacity of 500MW and a daily average load of about 300MW. Data acquisition modules are installed at key nodes of the power grid to monitor the operation status of the power grid in real time, including key parameters such as voltage, current, and frequency. The data acquisition module is connected to the central processing unit through an optical fiber communication network to ensure the efficiency and accuracy of data transmission.

[0102] During the test, the central processing unit used advanced algorithms such as least squares and maximum a posteriori estimation to analyze the collected data and evaluate whether the power grid status meets the current load demand. When the central processing unit detects that the power grid load exceeds the preset threshold, it will immediately issue instructions to the load adjustment module, which quickly adjusts the load by controlling the switchgear, adjusting the transformer taps, and enabling the reactive power compensation device. At the same time, the output voltage and frequency adjustment module adjusts the output voltage and frequency of the power grid according to the instructions of the central processing unit to ensure the stable operation of the power grid. In addition, the user interface module allows the power grid operator to monitor the system status in real time and manually intervene in the adjustment process when necessary. The safety protection module continuously monitors the system operation status. Once an abnormality is found, the protection mechanism is immediately activated to prevent the fault from expanding.

[0103] In order to simulate the unexpected situations that the actual power grid may encounter, this test deliberately set up three different load mutation scenarios: mild load increase (load increase to 350MW), moderate load increase (load increase to 400MW), and severe load increase (load increase to 450MW). In each scenario, the system can respond quickly, effectively adjust the load, and maintain stable operation of the power grid. The test also compared the power grid performance indicators before and after the introduction of the present invention, including voltage deviation rate, frequency fluctuation amplitude, response time, and recovery time, in order to scientifically evaluate the practical application value of the present invention.

[0104] Table 1 Comparison of power grid performance indicators under different load mutation scenarios

[0105]

[0106]

[0107] Table 2 Comparison of power grid performance indicators before and after the present invention

[0108] index Before introduction After introduction Voltage deviation rate (%) 1.5 0.8 Frequency fluctuation range (Hz) 0.06 0.03 Response time(s) 20 5 Recovery time(s) 40 10 Load adjustment accuracy (%) 80 95

[0109] By comparing the data in the above two tables, it can be clearly seen that after the introduction of the present invention, the power grid has shown significant improvements in terms of voltage deviation rate, frequency fluctuation amplitude, response time and recovery time when facing different degrees of load mutation. Specifically, under the baseline state, when the present invention is not adopted, the voltage deviation rate is 1.5%, while after the present invention is adopted, this value is reduced to 0.8%; similarly, the frequency fluctuation amplitude is also reduced from 0.06Hz to 0.03Hz, which shows that the present invention can more accurately maintain the voltage and frequency stability of the power grid, which is of great significance for improving the power quality and reliability of the power grid.

[0110] The present invention also shows great advantages in response time and recovery time. When a traditional power grid encounters a sudden change in load, it takes a long time to respond and return to normal. The response time is 20 seconds and the recovery time is 40 seconds. After adopting the present invention, the response time is shortened to 5 seconds and the recovery time is shortened to 10 seconds. This not only greatly improves the power grid's ability to respond to emergencies, but also provides a solid guarantee for the safe and stable operation of the power grid. In addition, the load adjustment accuracy is improved to 95%, which further confirms the ability of the present invention in the refined management of power grid resources.

[0111] In summary, the large-scale load transient response system proposed in the present invention not only achieves technical innovation, but also shows obvious superiority in practical applications. It can effectively solve the challenges faced by the power grid under high load conditions and has broad application prospects.

[0112] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0113] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0114] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0117] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0118] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A large-scale load transient response system for a power grid, characterized in that: Including data acquisition module, central processing unit, load adjustment module, user interface module, safety protection module, output voltage and frequency adjustment module; The data acquisition module is used to collect the operation data of the power grid in real time and transmit the data to the central processing unit through a high-speed communication network; The central processing unit is used to receive data from the data acquisition module, analyze the power grid status, and determine whether load adjustment is required; The load adjustment module realizes rapid adjustment of the grid load by controlling the switch device, the transformer tap adjuster, and the reactive power compensation device according to the instructions of the central processing unit; The user interface module is used to allow the grid operator to monitor the system status and manually intervene in the load regulation process when necessary; The safety protection module is used to monitor the operating status of the entire system and immediately activate the protection mechanism once an abnormal situation is detected; The output voltage and frequency adjustment module includes a voltage adjustment unit and a frequency adjustment unit, and both the voltage adjustment unit and the frequency adjustment unit are controlled by a central processing unit.

2. The large-scale load transient response system for a power grid as claimed in claim 1, characterized in that: The collected power grid operation data includes voltage, current, frequency, and phase.

3. The large-scale load transient response system for a power grid as claimed in claim 2, characterized in that: The voltage regulating unit adjusts the output voltage in real time to match the current load demand by dynamically adjusting the transformer tap or using other voltage regulating devices.

4. The large-scale load transient response system for a power grid as claimed in claim 3, characterized in that: The frequency regulation unit adjusts the grid frequency by controlling the power output of the generator or activating the energy storage system.

5. The large-scale load transient response system for a power grid as claimed in claim 4, characterized in that: The energy storage system includes battery energy storage and capacitors, which provide instantaneous energy support during charging and discharging and smooth out grid load fluctuations.

6. The large-scale load transient response system for a power grid as claimed in claim 5, characterized in that: The load regulation module is used in a large-scale load transient response system of a power grid, including: The data acquisition module collects the operating data of the voltage, current and frequency of the power grid. The calculation formula for data acquisition is as follows: DataCollection(t)=Voltage(t),Current(t),Frequency(t) Among them, t is the time point, Voltage(t), Current(t), Frequency(t) are the data of voltage, current and frequency respectively; The collected data is analyzed using algorithms and preset models to evaluate whether the current grid status meets the requirements of load demand, power generation capacity, and grid transmission capacity. The analysis formula is as follows: GridStatus(t)=Analyze(t,DataCollection(t)) Among them, Analyze is an analysis function used to evaluate the power grid status; Based on the analysis results, if it is detected that the load is too large, the regulation mechanism will be automatically activated to adjust the output power of the power station, activate the backup power supply, or notify the adjustable load to reduce power usage; After implementing the regulation measures, the load transient response system continues to monitor the grid response; The algorithm includes the least squares method and the maximum a posteriori estimation. The least squares method estimates the unknown parameters by minimizing the sum of squares of the differences between the observed values ​​and the calculated values. The formula of the least squares method is as follows: LS(t)=Minimize(ObservedValue(t),CalculatedValue(t)) Among them, ObservedValue(t) is the observed value and CalculatedValue(t) is the calculated value.

7. The large-scale load transient response system for a power grid as claimed in claim 6, characterized in that: The maximum a posteriori estimation is to establish the prior probability distribution of the power grid state parameters based on historical data, including: Use the collected real-time data to construct a likelihood function and combine the prior distribution with the likelihood function; The posterior distribution is calculated by the Bayesian formula, and the formula for the maximum a posteriori estimation is as follows: MAP(t)=Maximize(Prior(t),Likelihood(t)) Among them, Prior(t) is the prior probability distribution, Likelihood(t) is the likelihood function; The preset model is a mathematical model of the distribution network characteristics based on the state estimation method of load classification and complex network clipping, aiming at the distribution network characteristics of three-phase imbalance and uneven basic data quality.

8. A method for large-scale load transient response in a power grid, based on the large-scale load transient response system in a power grid according to any one of claims 1 to 7, characterized in that: include, The data acquisition module collects power grid operation data in real time; The central processing unit receives the grid status data and analyzes the data using the least square method and maximum a posteriori estimation algorithm to evaluate whether the grid status meets the requirements of load demand, power generation capacity and grid transmission capacity; According to the analysis results, if it is detected that the grid load exceeds the predetermined range, the load adjustment module is started and the corresponding load adjustment measures are executed by controlling the switching device, transformer tap regulator, reactive compensation device and energy storage system. At the same time, the output voltage and frequency adjustment module adjusts the output voltage and frequency of the grid according to the instructions of the central processing unit.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the large-scale load transient response system for a power grid according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the large-scale load transient response system for a power grid according to any one of claims 1 to 7 are implemented.

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