Equipment cross-border adjustment method and system based on power market clearing result

Abstract

The invention relates to the technical field of electricity markets, in particular to an equipment cross-border adjustment method and system based on electricity market clearing results. The scheme comprises the steps that information collection of a current market is completed, and operation data and market data are formed; the operation data and the market data are collected and transmitted to a central control system; the central control system processes and analyzes the operation data and the market data by using big data analysis to form a risk cross-border array; according to a data analysis result, the central control system formulates a corresponding equipment adjustment strategy; performing automatic execution according to the equipment adjustment strategy; and F , Y < j >, Y < 1 > and Y < 2 > are fed back and optimized online according to the control effect. According to the scheme, operation data and market data are processed and analyzed through big data analysis, corresponding equipment adjustment strategies are formulated in a central control system, and efficient and intelligent analysis of failure of the strategies is automatically executed through an equipment control system.

Description

Technical Field

[0001] The present invention relates to the technical field of power market, and more specifically, to a method and system for adjusting equipment out-of-bounds based on power market clearing results. Background Art

[0002] In the field of power market, the study of equipment out-of-bounds adjustment methods for power market clearing results is of great significance and importance. This kind of research aims to formulate effective adjustment strategies through in-depth analysis of the operation mechanism and equipment performance of the power market to ensure the safe and stable operation of power equipment and optimize the allocation of power resources. Specifically, the research involves real-time monitoring and analysis of power market clearing results, identifying abnormal situations that may cause equipment out-of-bounds, and automatically adjusting equipment parameters through intelligent algorithms and control systems to prevent the occurrence of out-of-bounds phenomena. Therefore, the study of equipment out-of-bounds adjustment methods for power market clearing results plays an important role in promoting the healthy development of the power market and enhancing the competitiveness of the power industry.

[0003] Prior to the technology of the present invention, the equipment out-of-bounds adjustment of the electricity market clearing results mainly relied on manual monitoring and manual intervention. Operators need to monitor the clearing results of the electricity market in real time, and determine whether there is an out-of-bounds risk based on the operating status of the equipment. Once a potential out-of-bounds problem is discovered, the operator will manually adjust the equipment parameters to keep the equipment within a safe operating range. However, this method has many difficulties and key points. First, manual monitoring is difficult to achieve all-weather, all-round real-time monitoring, and omissions are prone to occur. Secondly, manual adjustment of equipment parameters requires rich experience and expertise, and the operator's technical level directly affects the adjustment effect. In addition, the complexity and uncertainty of the electricity market make it difficult to accurately predict the risk of equipment out-of-bounds. Summary of the invention

[0004] In view of the above problems, the present invention proposes a method and system for equipment out-of-bounds adjustment based on the results of electricity market clearing. Big data analysis processes and analyzes the operating data and market data, and formulates corresponding equipment adjustment strategies in the central control system, and automatically executes efficient and intelligent analysis of the failure of these strategies through the equipment control system.

[0005] According to a first aspect of an embodiment of the present invention, a method for adjusting equipment out-of-bounds based on electricity market clearing results is provided.

[0006] In one or more embodiments, preferably, the device out-of-bounds adjustment method based on the electricity market clearing result includes:

[0007] Complete the information collection of the current market and form operation data and market data;

[0008] Collect and transmit operational data and market data to the central control system;

[0009] In the central control system, big data analysis is used to process and analyze operational data and market data to form a risk-crossing array;

[0010] Based on the data analysis results, the central control system formulates corresponding equipment adjustment strategies;

[0011] Automatically execute according to the device adjustment strategy;

[0012] Online feedback and optimization of Fi, Yj, Y1 and Y2 are performed based on the control effect.

[0013] In one or more embodiments, preferably, completing the collection of information on the current market to form operation data and market data specifically includes:

[0014] Collect equipment operation data in real time through sensors;

[0015] Real-time clearing result data is obtained from the electricity market, wherein the clearing result data includes electricity price and transaction volume.

[0016] In one or more embodiments, preferably, the collecting and transmitting the operation data and the market data to the central control system specifically includes:

[0017] Transmit the collected equipment operation data and power market clearing result data to the central control system;

[0018] The transmission process uses a preset encryption algorithm to ensure the security and integrity of the data.

[0019] In one or more embodiments, preferably, the central control system uses big data analysis to process and analyze the operation data and market data to form a risk cross-border array, which specifically includes:

[0020] Determine whether the operating data and market data satisfy the first calculation formula. If so, it is considered that there is a first-level cross-border risk. Otherwise, it is considered to be initially safe.

[0021] Select historical operation data for accident analysis, determine the range of operation data before the accident, and dynamically add it to an accident analysis library;

[0022] Make online predictions based on the central control system to estimate future operating data;

[0023] Determine whether the future operation data satisfies the second calculation formula. If so, there is no risk. If not, determine whether the future operation data satisfies the third calculation formula. If so, it is considered that there is a serious risk. If not, it is considered that there is a slight risk.

[0024] The first-level out-of-bounds risk, minor risk and serious risk are packaged and stored as an out-of-bounds risk array;

[0025] The first calculation formula is:

[0026] Si∈Fi

[0027] Gj∈Yj

[0028] Among them, Si is the i-th group of operating data, Fi is the preset i-th group of risk range, Gj is the j-th group of market data price, and Yj is the preset j-th group of market risk price range;

[0029] The second calculation formula is:

[0030] WL∩SG≠KJ

[0031] Among them, WL is the future operation data, SG is the accident analysis database, and KJ is an empty set;

[0032] The third calculation formula is:

[0033] SJL15>Y1

[0034] SJL60>Y2

[0035] Among them, SJL15 is the number of operating data belonging to the accident analysis library in the next fifteen minutes, Y1 is the first comparison cross-border risk array, SJL60 is the number of operating data belonging to the accident analysis library in the next hour and minute, and Y2 is the second comparison cross-border risk array.

[0036] In one or more embodiments, preferably, the central control system formulates a corresponding equipment adjustment strategy based on the data analysis result, specifically including:

[0037] According to the adjustment range of the risk-crossing array device parameters, the serious risks in the future are eliminated;

[0038] Consider the changing trend of the electricity market, update the price adjustment control strategy, and eliminate the first-level cross-border risk.

[0039] In one or more embodiments, preferably, the automatically executing according to the device adjustment strategy specifically includes:

[0040] The central control system sends the formulated adjustment strategy to the equipment control system for execution;

[0041] The device control system automatically adjusts the device parameters according to the received strategy.

[0042] In one or more embodiments, preferably, the online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect specifically include:

[0043] The central control system continuously monitors the equipment’s operating data and changes in the electricity market;

[0044] Continuously optimize and adjust the strategy based on Fi, Yj, Y1 and Y2 in the actual market with the lowest unit out-of-bounds incidence.

[0045] According to a second aspect of an embodiment of the present invention, a device out-of-bounds adjustment system based on electricity market clearing results is provided.

[0046] In one or more embodiments, preferably, the equipment out-of-bounds adjustment system based on the electricity market clearing result includes:

[0047] Information collection module, used to complete the collection of current market information and form operation data and market data;

[0048] Data collection module, used to collect and transmit operation data and market data to the central control system;

[0049] Data analysis module, used to process and analyze operation data and market data using big data analysis in the central control system to form a risk cross-border array;

[0050] The strategy formulation module is used for the central control system to formulate corresponding equipment adjustment strategies based on the data analysis results;

[0051] An automatic execution module, used for automatically executing according to the device adjustment strategy;

[0052] Feedback and optimization module, used for online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect.

[0053] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0054] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0055] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0056] The solution of the present invention can quickly and accurately identify potential risks and provide a basis for formulating effective adjustment strategies. By analyzing historical data, future risk trends can be better predicted, so that measures can be taken in advance to prevent them.

[0057] The solution of the present invention realizes intelligent decision-making and execution process, improves response speed and efficiency. Automatic execution reduces the possibility of human intervention, reduces the risk of operational errors, and also reduces the workload of staff.

[0058] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0059] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0061] Figure 1 The present invention is a flowchart of a method for adjusting equipment out-of-bounds based on electricity market clearing results according to an embodiment of the present invention.

[0062] Figure 2 It is a flowchart of completing the current market information collection and forming operation data and market data in the equipment cross-border adjustment method based on the power market clearing result in one embodiment of the present invention.

[0063] Figure 3 It is a flow chart of collecting and transmitting operation data and market data to a central control system in a method for adjusting equipment across boundaries based on power market clearing results in one embodiment of the present invention.

[0064] Figure 4 It is a flow chart of an equipment out-of-bounds adjustment method based on electricity market clearing results in an embodiment of the present invention, in which operation data and market data are processed and analyzed by using big data analysis in a central control system to form a risk out-of-bounds array.

[0065] Figure 5 It is a flow chart of a method for adjusting equipment across boundaries based on power market clearing results in one embodiment of the present invention, in which a central control system formulates a corresponding equipment adjustment strategy according to data analysis results.

[0066] Figure 6It is a flowchart of automatically executing according to the equipment adjustment strategy in the equipment cross-border adjustment method based on the power market clearing result in one embodiment of the present invention.

[0067] Figure 7 It is a flowchart of online feedback and optimization of F i, Yj, Y1 and Y2 according to control effect in an equipment out-of-bounds adjustment method based on electricity market clearing results in one embodiment of the present invention.

[0068] Figure 8 It is a structural diagram of a device cross-border adjustment system based on power market clearing results according to an embodiment of the present invention.

[0069] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0070] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0072] In the field of power market, the study of equipment out-of-bounds adjustment methods for power market clearing results is of great significance and importance. This kind of research aims to formulate effective adjustment strategies through in-depth analysis of the operation mechanism and equipment performance of the power market to ensure the safe and stable operation of power equipment and optimize the allocation of power resources. Specifically, the research involves real-time monitoring and analysis of power market clearing results, identifying abnormal situations that may cause equipment out-of-bounds, and automatically adjusting equipment parameters through intelligent algorithms and control systems to prevent the occurrence of out-of-bounds phenomena. Therefore, the study of equipment out-of-bounds adjustment methods for power market clearing results plays an important role in promoting the healthy development of the power market and enhancing the competitiveness of the power industry.

[0073] Prior to the technology of the present invention, the equipment out-of-bounds adjustment of the electricity market clearing results mainly relied on manual monitoring and manual intervention. Operators need to monitor the clearing results of the electricity market in real time, and determine whether there is an out-of-bounds risk in combination with the operating status of the equipment. Once a potential out-of-bounds problem is discovered, the operator will manually adjust the equipment parameters to keep the equipment within a safe operating range. However, this method has many difficulties and key points. First, manual monitoring is difficult to achieve all-weather, all-round real-time monitoring, and it is easy to omissions. Secondly, manual adjustment of equipment parameters requires rich experience and expertise, and the technical level of the operator directly affects the adjustment effect. In addition, the complexity and uncertainty of the electricity market make it difficult to accurately predict the risk of equipment out-of-bounds, which increases the difficulty of adjustment. Therefore, how to improve the automation level and accuracy of equipment out-of-bounds adjustment has become a difficulty and key point in the prior art.

[0074] In the embodiment of the present invention, a method and system for adjusting equipment out of bounds based on the results of power market clearing are provided. The big data analysis of the solution processes and analyzes the operation data and market data, formulates corresponding equipment adjustment strategies in the central control system, and automatically performs efficient and intelligent analysis of the failure of these strategies through the equipment control system.

[0075] According to a first aspect of an embodiment of the present invention, a method for adjusting equipment out-of-bounds based on electricity market clearing results is provided.

[0076] Figure 1 The present invention is a flowchart of a method for adjusting equipment out-of-bounds based on electricity market clearing results according to an embodiment of the present invention.

[0077] In one or more embodiments, preferably, the device out-of-bounds adjustment method based on the electricity market clearing result includes:

[0078] S101. Complete the collection of current market information to form operation data and market data;

[0079] S102, collecting and transmitting the operation data and market data to the central control system;

[0080] S103, using big data analysis in the central control system to process and analyze the operation data and market data to form a risk cross-border array;

[0081] S104. Based on the data analysis results, the central control system formulates corresponding equipment adjustment strategies;

[0082] S105, automatically executing according to the device adjustment strategy;

[0083] S106. Feedback and optimize F i, Yj, Y1 and Y2 online according to the control effect.

[0084] In an embodiment of the present invention, first, the system includes a plurality of sensors, which are installed on key equipment to monitor the operating status of the equipment in real time. For example, in a power plant, temperature sensors, pressure sensors and vibration sensors can be installed on key equipment such as generators and transformers. These sensors can continuously monitor the temperature, pressure and vibration of the equipment, and send the collected data to the central control system at a certain frequency (such as once per second). Secondly, the system also includes a data interface module, which is responsible for obtaining real-time clearing result data from the power market. Specifically, the data interface module can be connected to the trading platform of the power market through the network and automatically download the latest electricity price and transaction volume information. For example, the latest electricity price and transaction volume data are obtained from the trading platform every five minutes. Finally, all the collected equipment operation data and power market clearing result data will be transmitted to the central control system. In order to ensure the security and integrity of the data, a preset encryption algorithm is used in the transmission process. For example, the Advanced Encryption Standard (AES) can be used to encrypt the data to ensure that the data is not tampered with or leaked during the transmission process.

[0085] Figure 2 It is a flowchart of completing the current market information collection and forming operation data and market data in the equipment cross-border adjustment method based on the power market clearing result in one embodiment of the present invention.

[0086] like Figure 2 As shown, in one or more embodiments, preferably, completing the current market information collection to form operation data and market data specifically includes:

[0087] S201, collecting operation data of the equipment in real time through sensors;

[0088] S202. Acquire real-time clearing result data from the electricity market, wherein the clearing result data includes electricity price and transaction volume.

[0089] In an embodiment of the present invention, first, the system includes multiple data collection points, each of which is responsible for collecting the operating data of a specific device. For example, in a wind farm, sensors can be installed on each wind turbine, and these sensors can monitor parameters such as wind speed, wind direction, and generator speed in real time. At the same time, a data interface module is connected to the trading platform of the power market to automatically obtain the latest electricity price and transaction volume information. Secondly, all the collected equipment operation data and power market clearing result data will be transmitted to the central control system through a secure communication network. In order to ensure the security and integrity of the data, a preset encryption algorithm is used in the transmission process. Specifically, the Advanced Encryption Standard (AES) can be used to encrypt the data. For example, when a sensor on a wind turbine collects data with a wind speed of 15 meters per second, the data will first be encrypted by the AES algorithm and then sent to the central control system through the network. Similarly, the electricity price information obtained from the power market will also be transmitted after the same encryption process. Finally, after receiving the encrypted data, the central control system will use the corresponding decryption algorithm to decrypt it. The decrypted data will be stored in a secure database for subsequent analysis and decision-making. For example, the central control system can perform statistical analysis on the received wind speed data to predict future wind power generation; at the same time, it can also adjust the power generation strategy according to the changing trend of electricity prices to improve economic benefits.

[0090] Figure 3 It is a flow chart of collecting and transmitting operation data and market data to a central control system in a method for adjusting equipment across boundaries based on power market clearing results in one embodiment of the present invention.

[0091] like Figure 3 As shown, in one or more embodiments, preferably, the aggregating and transmitting the operation data and the market data to the central control system specifically includes:

[0092] S301, transmitting the collected equipment operation data and power market clearing result data to the central control system;

[0093] S302: The transmission process uses a preset encryption algorithm to ensure the security and integrity of the data.

[0094] In the embodiment of the present invention, firstly, the system includes multiple data collection points, each of which is responsible for collecting the operating data of a specific device. For example, in a wind farm, sensors can be installed on each wind turbine, which can monitor parameters such as wind speed, wind direction, and generator speed in real time. At the same time, it is connected to the trading platform of the power market through a data interface module to automatically obtain the latest electricity price and transaction volume information.

[0095] Figure 4It is a flow chart of an equipment out-of-bounds adjustment method based on electricity market clearing results in an embodiment of the present invention, in which operation data and market data are processed and analyzed by using big data analysis in a central control system to form a risk out-of-bounds array.

[0096] like Figure 4 As shown, in one or more embodiments, preferably, the central control system uses big data analysis to process and analyze the operation data and market data to form a risk cross-border array, which specifically includes:

[0097] S401, judging whether the operation data and market data satisfy the first calculation formula, if so, it is considered that there is a first-level cross-border risk, otherwise, it is considered to be initially safe;

[0098] S402, selecting historical operation data for accident analysis, determining the range of operation data before the accident, and dynamically adding it to an accident analysis library;

[0099] S403, performing online estimation according to the central control system to estimate future operation data;

[0100] S404, determining whether the future operation data satisfies the second calculation formula, if so, there is no risk, if not, determining whether the future operation data satisfies the third calculation formula, if so, it is considered that there is a serious risk, if not, it is considered that there is a slight risk;

[0101] S405, packaging and storing the first-level cross-border risk, minor risk and serious risk into a cross-border risk array;

[0102] The first calculation formula is:

[0103] Si∈Fi

[0104] Gj∈Yj

[0105] Among them, Si is the i-th group of operating data, Fi is the preset i-th group of risk range, Gj is the j-th group of market data price, and Yj is the preset j-th group of market risk price range;

[0106] The second calculation formula is:

[0107] WL∩SG≠KJ

[0108] Among them, WL is the future operation data, SG is the accident analysis database, and KJ is an empty set;

[0109] The third calculation formula is:

[0110] SJL15>Y1

[0111] SJL60>Y2

[0112] Among them, SJL15 is the number of operating data belonging to the accident analysis library in the next fifteen minutes, Y1 is the first comparison cross-border risk array, SJL60 is the number of operating data belonging to the accident analysis library in the next hour and minute, and Y2 is the second comparison cross-border risk array.

[0113] In an embodiment of the present invention, first, the central control system receives operating data and market data from various sensors and data interface modules. For example, in a smart grid system, operating data such as voltage, current, and power of each substation, as well as real-time electricity prices and transaction volume information of the power market can be collected. Next, the central control system uses a preset first calculation formula to determine whether there is a first-level cross-border risk. If a set of operating data or market data exceeds its corresponding risk range, it is considered that there is a first-level cross-border risk. Otherwise, it is considered to be initially safe. Then, the central control system selects historical operating data for accident analysis, determines the operating data range before the accident, and dynamically adds these data to an accident analysis library. For example, by analyzing several major power outages that occurred in the past, it is found that there are similar operating data patterns before each event, such as large voltage fluctuations and abnormal current increases. Therefore, these feature data are added to the accident analysis library so that timely warnings can be issued when similar situations are monitored in the future. Then, the central control system performs online estimation based on the current operating data to predict the operating data for a period of time in the future. For example, the voltage, current and other parameters in the next fifteen minutes and one hour are predicted by machine learning algorithms. Afterwards, the central control system uses the second calculation formula to determine whether there is a risk in the future operation data. If the future operation data intersects with any data in the accident analysis library, it is considered that there is a serious risk; otherwise, the third calculation formula is further used to determine whether there is a minor risk. If there are more than Y1 data points belonging to the accident analysis library in the next fifteen minutes, it is considered that there is a serious risk; if there are more than Y2 data points belonging to the accident analysis library in the next hour, it is considered that there is a minor risk. Finally, the central control system packages and stores the first-level cross-border risk, minor risk, and serious risk as a risk cross-border array. For example, the risk cross-border array can be represented as a three-dimensional matrix, in which each dimension represents a different risk level (first-level cross-border risk, minor risk, serious risk), and the value of each dimension represents the specific value of the risk level. In this way, when you need to view the risk status at a certain moment, you only need to query the corresponding risk cross-border array.

[0114] Figure 5 It is a flow chart of a method for adjusting equipment across boundaries based on power market clearing results in one embodiment of the present invention, in which a central control system formulates a corresponding equipment adjustment strategy according to data analysis results.

[0115] like Figure 5As shown, in one or more embodiments, preferably, according to the data analysis results, the central control system formulates a corresponding equipment adjustment strategy, which specifically includes:

[0116] S501, according to the adjustment range of the risk-crossing array device parameters, make the future serious risks disappear;

[0117] S502. Consider the changing trend of the electricity market, update the price adjustment control strategy, and eliminate the first-level cross-border risk.

[0118] In an embodiment of the present invention, first, after receiving the risk out-of-bounds array, the central control system will analyze the equipment parameter adjustment range therein. For example, in a smart grid system, the risk out-of-bounds array may show that the voltage or current of some substations exceeds the preset safety range. At this time, the central control system will formulate corresponding equipment adjustment strategies according to the specific conditions of these parameters. For example, if the voltage of a substation is too high, the voltage can be reduced by adjusting the tap position of the transformer; if the current is too large, the current can be reduced by increasing the impedance of the line. Secondly, the central control system will also consider the changing trend of the power market and update the price adjustment control strategy. For example, by real-time monitoring of the electricity price and transaction volume in the power market, it is found that the electricity price is on an upward trend and the transaction volume is large, indicating that the demand for electricity is strong. In order to cope with this situation, the central control system can take measures such as increasing power generation and optimizing scheduling to meet market demand while avoiding soaring electricity prices due to insufficient supply. In addition, it is also possible to cooperate with other power companies to achieve cross-regional power allocation and further alleviate the contradiction between supply and demand. Finally, the central control system sends the formulated equipment adjustment strategy to an executive agency, such as an automatic adjustment device or a remote controller, and the executive agency adjusts according to the strategy. For example, when the transformer tap position needs to be adjusted, the central control system will send instructions to the corresponding automatic adjustment device, which will automatically complete the adjustment operation after receiving the instructions. Similarly, when the line impedance needs to be increased, the central control system will also send instructions to the corresponding remote controller, which will automatically adjust the line parameters after receiving the instructions.

[0119] Figure 6 It is a flowchart of automatically executing according to the equipment adjustment strategy in the equipment cross-border adjustment method based on the power market clearing result in one embodiment of the present invention.

[0120] like Figure 6 As shown, in one or more embodiments, preferably, the automatic execution according to the device adjustment strategy specifically includes:

[0121] S601, the central control system sends the formulated adjustment strategy to the device control system for execution;

[0122] S602: The device control system automatically adjusts device parameters according to the received strategy.

[0123] In an embodiment of the present invention, first, the central control system formulates a corresponding device adjustment strategy according to the device parameter adjustment range in the risk out-of-bounds array and the trend of the power market. For example, in a smart grid system, the central control system finds that the voltage of a substation is too high and exceeds the preset safety range. In order to solve this problem, the central control system decides to reduce the voltage by adjusting the tap position of the transformer. At the same time, considering the strong demand in the power market, the central control system also formulates a strategy to increase the power generation to meet the market demand. Next, the central control system sends the formulated adjustment strategy to the device control system for execution. For example, the central control system can transmit the adjustment strategy to the device control system through wireless communication or wired connection. The device control system can be a computer, PLC (programmable logic controller) or other automatic control device, which is responsible for receiving and parsing instructions from the central control system. The device control system automatically adjusts the device parameters according to the received strategy. For example, when the device control system receives an instruction to adjust the transformer tap position, it sends an operation signal to the corresponding automatic adjustment device. After receiving the signal, the automatic adjustment device automatically completes the adjustment of the tap position. Similarly, when the device control system receives an instruction to increase the power generation, it sends a start or acceleration signal to the generator set to increase the power generation. During the whole process, the equipment control system will monitor the operating status of the equipment in real time and feed back the monitored data to the central control system. In this way, the central control system can timely understand the effect of equipment adjustment and further optimize the adjustment strategy as needed. For example, if the equipment control system finds that the voltage is still too high after adjustment, it will report this to the central control system, and the central control system will re-evaluate and adjust the strategy to ensure that the equipment operates within a safe range.

[0124] Figure 7 It is a flowchart of online feedback and optimization of Fi, Yj, Y1 and Y2 according to control effect in an equipment out-of-bounds adjustment method based on electricity market clearing results in one embodiment of the present invention.

[0125] like Figure 7 As shown, in one or more embodiments, preferably, the online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect specifically include:

[0126] S701, the central control system continuously monitors the operating data of the equipment and changes in the power market;

[0127] S702. Continuously optimize and adjust the strategy based on F i, Yj, Y1 and Y2 in the actual market with the lowest unit crossing rate.

[0128] In an embodiment of the present invention, the central control system will continuously optimize the adjustment strategy based on Fi, Yj, Y1 and Y2 in the market with the lowest unit out-of-bounds incidence in the actual effect. Specifically, the central control system will regularly count the number of unit out-of-bounds occurrences in the market and calculate its incidence. Then, by comparing the out-of-bounds incidence under different parameter combinations, find the parameter combination with the lowest out-of-bounds incidence. Then, apply these parameter combinations to the actual device adjustment strategy to improve the effectiveness and reliability of the strategy.

[0129] According to a second aspect of an embodiment of the present invention, a device out-of-bounds adjustment system based on electricity market clearing results is provided.

[0130] Figure 8 It is a structural diagram of a device cross-border adjustment system based on power market clearing results according to an embodiment of the present invention.

[0131] In one or more embodiments, preferably, the equipment out-of-bounds adjustment system based on the electricity market clearing result includes:

[0132] Information collection module 801, used to complete the collection of current market information and form operation data and market data;

[0133] The data collection module 802 is used to collect and transmit the operation data and market data to the central control system;

[0134] Data analysis module 803, used to process and analyze operation data and market data using big data analysis in the central control system to form a risk crossing array;

[0135] The strategy formulation module 804 is used for the central control system to formulate corresponding equipment adjustment strategies according to the data analysis results;

[0136] An automatic execution module 805, configured to automatically execute according to the device adjustment strategy;

[0137] The feedback and optimization module 806 is used for online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect.

[0138] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0139] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0140] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a general device for adjusting the equipment's cross-boundary performance based on the results of the electricity market clearing. Fig. 9 The electronic device may be a smart phone, a tablet computer, or the like. The electronic device 900 includes a processor 901 and a memory 902. The processor 901 is electrically connected to the memory 902.

[0141] Processor 901 is the control center of electronic device 900. It uses various interfaces and lines to connect various parts of the entire electronic device, executes various functions of the electronic device and processes data by running or calling computer programs stored in memory 902, and calling data stored in memory 902, thereby monitoring the electronic device as a whole.

[0142] In this embodiment, the processor 901 in the electronic device 900 will load the instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 will run the computer program stored in the memory 902 to realize various functions, such as: completing the information collection of the current market to form operation data and market data; collecting and transmitting the operation data and market data to the central control system; using big data analysis in the central control system to process and analyze the operation data and market data to form a risk out-of-bounds array; based on the data analysis results, the central control system formulates corresponding equipment adjustment strategies; automatically executes according to the equipment adjustment strategies; and online feedback and optimization of Fi, Yj, Y1 and Y2 based on the control effect.

[0143] In some embodiments, the electronic device 900 may further include: a display 903, a radio frequency circuit 904, an audio circuit 905, a wireless fidelity module 906, and a power supply 907. The display 903, the radio frequency circuit 904, the audio circuit 905, the wireless fidelity module 906, and the power supply 907 are electrically connected to the processor 901, respectively.

[0144] The display 903 may be used to display information input by a user or information provided to a user and various graphical user interfaces, which may be composed of graphics, text, icons, videos, and any combination thereof. The display 903 may include a display panel, and in some embodiments, the display panel may be configured in the form of a liquid crystal display (LCD) or an organic light-emitting diode (OLED).

[0145] The radio frequency circuit 904 can be used to send and receive radio frequency signals, so as to establish wireless communication with a network device or other electronic devices through wireless communication, and to send and receive signals between the network device or other electronic devices.

[0146] The audio circuit 905 can be used to provide an audio interface between a user and the electronic device through a speaker and a microphone.

[0147] The wireless fidelity module 906 can be used for short-range wireless transmission, and can help users to send and receive emails, browse websites, and access streaming media, etc. It provides users with wireless broadband Internet access.

[0148] The power supply 907 may be used to supply power to various components of the electronic device 900. In some embodiments, the power supply 907 may be logically connected to the processor 901 through a power management system, so that the power management system can manage charging, discharging, power consumption, and other functions.

[0149] although Fig. 9 Not shown, the electronic device 900 may also include a camera, a Bluetooth module, etc., which will not be described in detail here.

[0150] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0151] The solution of the present invention can quickly and accurately identify potential risks and provide a basis for formulating effective adjustment strategies. By analyzing historical data, future risk trends can be better predicted, so that measures can be taken in advance to prevent them.

[0152] The solution of the present invention realizes intelligent decision-making and execution process, improves response speed and efficiency. Automatic execution reduces the possibility of human intervention, reduces the risk of operational errors, and also reduces the workload of staff.

[0153] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0154] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 produce 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.

[0155] 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.

[0156] 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. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0157] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A device cross-border adjustment method based on power market clearing results, characterized in that: The method includes: Complete the information collection of the current market and form operation data and market data; Collect and transmit operational data and market data to the central control system; In the central control system, big data analysis is used to process and analyze operational data and market data to form a risk-crossing array; Based on the data analysis results, the central control system formulates corresponding equipment adjustment strategies; Automatically execute according to the device adjustment strategy; Online feedback and optimization of Fi, Yj, Y1 and Y2 are performed based on the control effect.

2. The equipment out-of-bounds adjustment method based on the power market clearing result according to claim 1, characterized in that: The above mentioned process of completing the current market information collection and forming operation data and market data specifically includes: Collect equipment operation data in real time through sensors; Real-time clearing result data is obtained from the electricity market, wherein the clearing result data includes electricity price and transaction volume.

3. The equipment out-of-bounds adjustment method based on the power market clearing result according to claim 1, characterized in that: The said collecting and transmitting the operation data and market data to the central control system specifically includes: Transmit the collected equipment operation data and power market clearing result data to the central control system; The transmission process uses a preset encryption algorithm to ensure the security and integrity of the data.

4. The equipment out-of-bounds adjustment method based on the power market clearing result according to claim 1, characterized in that: The central control system uses big data analysis to process and analyze the operation data and market data to form a risk cross-border array, which specifically includes: Determine whether the operating data and market data satisfy the first calculation formula. If so, it is considered that there is a first-level cross-border risk. Otherwise, it is considered to be initially safe. Select historical operation data for accident analysis, determine the range of operation data before the accident, and dynamically add it to an accident analysis library; Make online predictions based on the central control system to estimate future operating data; Determine whether the future operation data satisfies the second calculation formula. If so, there is no risk. If not, determine whether the future operation data satisfies the third calculation formula. If so, it is considered that there is a serious risk. If not, it is considered that there is a slight risk. The first-level out-of-bounds risk, minor risk and serious risk are packaged and stored as an out-of-bounds risk array; The first calculation formula is: Si∈Fi Gj∈Yj Among them, Si is the i-th group of operating data, Fi is the preset i-th group of risk range, Gj is the j-th group of market data price, and Yj is the preset j-th group of market risk price range; The second calculation formula is: WL∩SG≠KJ Among them, WL is the future operation data, SG is the accident analysis database, and KJ is an empty set; The third calculation formula is: SJL15>Y1 SJL60>Y2 Among them, SJL15 is the number of operating data belonging to the accident analysis library in the next fifteen minutes, Y1 is the first comparison cross-border risk array, SJL60 is the number of operating data belonging to the accident analysis library in the next hour and minute, and Y2 is the second comparison cross-border risk array.

5. The device out-of-bounds adjustment method based on power market clearing results according to claim 1, characterized in that: According to the data analysis results, the central control system formulates corresponding equipment adjustment strategies, including: According to the adjustment range of the risk-crossing array device parameters, the serious risks in the future are eliminated; Consider the changing trend of the electricity market, update the price adjustment control strategy, and eliminate the first-level cross-border risk.

6. The device out-of-bounds adjustment method based on power market clearing results according to claim 1, characterized in that: The automatic execution according to the device adjustment strategy specifically includes: The central control system sends the formulated adjustment strategy to the equipment control system for execution; The device control system automatically adjusts the device parameters according to the received strategy.

7. The equipment out-of-bounds adjustment method based on power market clearing results according to claim 1, characterized in that: The online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect specifically include: The central control system continuously monitors the equipment’s operating data and changes in the electricity market; Continuously optimize and adjust the strategy based on Fi, Yj, Y1 and Y2 in the actual market with the lowest unit out-of-bounds incidence.

8. The equipment cross-boundary adjustment system based on the power market clearing results is characterized by: The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: Information collection module, used to complete the collection of current market information and form operation data and market data; Data collection module, used to collect and transmit operation data and market data to the central control system; Data analysis module, used to process and analyze operation data and market data using big data analysis in the central control system to form a risk cross-border array; The strategy formulation module is used for the central control system to formulate corresponding equipment adjustment strategies based on the data analysis results; An automatic execution module, used for automatically executing according to the device adjustment strategy; Feedback and optimization module, used for online feedback and optimization of Fi, Yj, Y1 and Y2 according to the control effect.

9. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

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