Multi-dimensional management and control system for electricity market subject registration

Abstract

The invention is suitable for the technical field of power transaction management, and provides a power market subject registration multi-dimensional management and control system, and the system comprises a data obtaining module which obtains the data of a power generation enterprise and a power grid enterprise, obtains the power generation amount through the data of the power generation enterprise and the power grid enterprise, and obtains the power consumption condition of a registered power user; the time domain module is used for acquiring historical data, acquiring a time domain, acquiring a time domain extreme value, comparing the extreme value with real-time power utilization and power transmission data, and optimizing a power transmission and power supply mode according to a comparison result; the abnormal module is used for acquiring real-time power consumption and power transmission data and judging a fault reason according to historical data; and the regional chain module obtains transaction and operation data of the power market and updates a contract, power consumption and power transmission quantity in real time, thereby solving the problems that dynamic scheduling cannot be performed in combination with real-time data, fine management of power resources cannot be realized, abnormity cannot be found through real-time data comparison, problems cannot be found in advance, and measures cannot be taken. And the problems of market fluctuation and equipment failure risk are reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of power transaction management, and in particular relates to a multi-dimensional management and control system for registration of power market entities. Background Art

[0002] The scale of the electricity market is gradually getting back on track, and more and more market players are applying to register to participate in electricity trading. The number of registrations is huge, and the review processes for different players are different. With the continuous improvement of policies, more power sales companies also hope to obtain electricity trading qualifications. However, the review process for registration applications of power sales companies is completely different from that of power generation companies and power users. Reviewing different market players brings huge workload and difficulty to the staff of the power trading center.

[0003] In the electricity market, there are many types of registered entities with different roles. The management and control methods need to be refined according to the different types of entities. In order to ensure the transparency and stability of the market, comprehensive management must be carried out through multi-dimensional management and control measures.

[0004] However, the existing management of registered users still cannot obtain power generation, transmission and consumption data in real time, form a supply and demand data chain, and optimize transmission and power supply methods by combining historical data and real-time analysis. It is impossible to combine real-time data for dynamic scheduling and realize refined management of power resources. It is impossible to detect anomalies through real-time data comparison and quickly trace the source, discover problems in advance and take measures to reduce market fluctuations and equipment failure risks. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a multi-dimensional management and control system for registration of power market entities, aiming to solve the problems raised in the third part of the background technology.

[0006] The embodiment of the present invention is implemented as follows: a multi-dimensional management and control system for registration of power market entities, the system comprising: The data acquisition module acquires the data of power generation enterprises and power grid enterprises, obtains the power generation through the data of power generation enterprises and power grid enterprises, and obtains the power consumption of registered power users; The time domain module obtains historical data, including power consumption and power transmission, obtains the time domain, and divides 24 hours into several time periods, and each period corresponds to a time range, obtains the time domain maximum value, compares the maximum value with the real-time power consumption and power transmission data, and optimizes the power transmission and power supply mode according to the comparison results; The abnormality module obtains real-time power consumption data and real-time power transmission data, and determines abnormalities based on historical data. The abnormalities include a sudden drop in power generation, excessive load on the power transmission network, or a sharp increase in user power consumption, and determines the cause of the fault based on the abnormalities; The regional chain module obtains the transaction and operation data of the electricity market. The transaction and operation data are recorded through the regional chain, and the contract, power consumption and transmission are updated in real time.

[0007] Preferably, the electricity usage of the registered electricity user includes real-time electricity usage data and user electricity demand.

[0008] Preferably, the time domain module includes: A maximum value unit, which obtains historical data, obtains a time domain, and obtains a corresponding maximum value according to the time domain division, wherein the maximum value includes a maximum value and a minimum value; The first comparison unit compares the maximum value with the real-time power consumption and transmission data, obtains the comparison result, and determines the power demand and the power grid load status according to the comparison result; The optimization unit obtains the judgment result and optimizes the transmission and power supply mode according to the judgment result.

[0009] Preferably, the time domain is an equally divided time domain.

[0010] Preferably, the abnormal module includes: A second comparison unit is configured to obtain real-time power consumption data and real-time power transmission data, wherein the real-time power consumption data and real-time power transmission data are obtained through a smart meter and a smart grid, and compare the historical data to obtain a comparison result; An abnormality unit determines an abnormality according to the comparison result, determines a fault type according to the abnormality, wherein the fault type includes a decrease in power generation and an excessive load on the power transmission network, and determines a fault cause according to the fault type; The fault unit sends the fault cause to the terminal and obtains the terminal processing solution.

[0011] Preferably, the real-time electricity consumption data and real-time power transmission data are obtained through smart meters and smart grids.

[0012] Preferably, the regional chain module includes: The trading unit obtains the transaction and operation data of the power market; The regional chain unit uploads the transaction and operation data of the power market to the regional chain, and completes the transaction record and operation data record through the regional chain; The updating unit updates the contract and the power consumption and transmission in real time. If it is determined that the power consumption and transmission exceed the threshold, the contract is updated.

[0013] Preferably, the transaction data includes a power purchase agreement and a power usage agreement, and the operation data includes power generation data, power transmission data and power usage data.

[0014] The embodiment of the present invention provides a multi-dimensional management and control system for registration of power market entities, which obtains data of power generation enterprises and power grid enterprises, and obtains power consumption of registered power users. By obtaining data of power generation enterprises and power grid enterprises, power sales companies can accurately grasp power generation and transmission capacity. At the same time, by obtaining users' power consumption data in real time, power distribution can be dynamically adjusted, and historical data can be obtained. Power consumption and transmission can be known through historical data. 24 hours are divided into several time periods, and the time range corresponding to each period becomes a time domain. The maximum and minimum values ​​of the time domain are obtained, and the average value of the time domain can be obtained. The maximum value is compared with real-time power consumption and transmission data, and the transmission and power supply mode is optimized according to the comparison results. According to the changes in real-time data, the power sales company can intelligently dispatch spare power generation resources, dynamically adjust the load distribution of transmission lines, and realize the optimal utilization of power resources. , obtain real-time electricity consumption data and real-time transmission data, determine based on historical data whether it is a sudden drop in power generation, excessive load on the transmission network, or a sharp increase in user power consumption, determine the cause of the fault based on the anomaly, and obtain a treatment plan. Perform maintenance based on the treatment plan, obtain transaction and operation data from the power market, and upload transaction and operation data from the power market to the regional chain. If it is determined that power consumption and transmission exceed the threshold, update the contract and power consumption and transmission in real time, which solves the problem of not being able to obtain power generation, transmission and consumption data in real time, forming a supply and demand data chain, and combining historical data and real-time analysis to optimize transmission and power supply methods. It is impossible to combine real-time data for dynamic scheduling to achieve refined management of power resources. It is impossible to discover anomalies through real-time data comparison and quickly trace the source, discover problems in advance and take measures to reduce market fluctuations and equipment failure risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 An architecture diagram of a multi-dimensional management and control system for registration of power market entities provided by an embodiment of the present invention; Figure 2 An architectural diagram of a time domain module provided in an embodiment of the present invention; Figure 3 An architectural diagram of an abnormal module provided by an embodiment of the present invention; Figure 4 This is an architecture diagram of the regional chain module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0018] like Figure 1 As shown, a multi-dimensional management and control system for registration of power market entities provided by an embodiment of the present invention includes: The data acquisition module 100 is used to acquire data of power generation enterprises and power grid enterprises, acquire power generation through the data of power generation enterprises and power grid enterprises, and acquire power consumption of registered power users.

[0019] In this system, the data acquisition module 100 acquires data from power generation companies and power grid companies. In the power market, power sales companies, as important intermediaries between power generation companies, power grid companies and power users, must effectively acquire and integrate upstream and downstream data to optimize power supply, transmission and meet user needs. By acquiring data from power generation companies and power grid companies, power sales companies can accurately grasp power generation and transmission capacity, and by acquiring users' power consumption data in real time, they can dynamically adjust power distribution; The data of power generation enterprises mainly include power generation, power generation equipment status, power generation costs, etc. By connecting with the data of power generation enterprises, power sales companies can understand the scale of power supply at present and in the future. Power companies can understand the cost and production efficiency of different types of power generation (such as wind power, thermal power, photovoltaic power, etc.) to help optimize power purchase strategies; The data of power grid enterprises mainly covers transmission capacity, transmission loss, network stability and the operation status of transmission lines. By connecting with the data of power grid enterprises, power sales companies can monitor the power grid transmission capacity and potential transmission bottlenecks; In order to efficiently meet user needs and optimize the allocation of power resources, power sales companies need to obtain real-time power consumption data from users. This includes real-time power consumption data: the trend of each user's power consumption, especially the peak and trough periods; user power consumption behavior: analyzing users' power consumption habits through historical power consumption data, such as peak power consumption on weekdays and changes in power consumption on weekends; power demand forecasting: combining historical data with weather, season and other information to predict future power demand. These data can help power sales companies analyze users' power consumption habits, demand changes, and make timely responses when power supply is insufficient.

[0020] The time domain module 200 is used to obtain historical data, which includes power consumption and power transmission, obtain the time domain, which divides 24 hours into several time periods, and each period corresponds to a time range, obtain the time domain maximum value, compare the maximum value with real-time power consumption and power transmission data, and optimize the power transmission and power supply mode according to the comparison result.

[0021] In this system, the time domain module 200 obtains historical data, obtains the power consumption of users in different time periods, and obtains the transmission amount, which reflects the power transmission capacity and load conditions of the power grid in different time periods, including the actual transmission amount and loss of the transmission line; In order to effectively analyze data and optimize power dispatch, the first step is to divide 24 hours into several time periods, the so-called "time domains". This time domain division can be determined based on the volatility of power demand, user behavior, and the load of the power grid. By equally dividing the time domain, 24 hours are divided into several time periods, for example, a day can be divided into 6 time domain segments, each of which is 4 hours, or divided into 8 segments, each of which is 3 hours; After the time domain division is completed, the power sales company needs to obtain the maximum, minimum and average values ​​of power consumption and transmission in each time domain based on historical data, and compare the real-time power consumption and transmission data with these maximum values ​​to evaluate whether the current power demand and transmission conditions are within a reasonable range. If the real-time data exceeds the historical maximum value, adjustment measures may need to be taken to optimize power supply and transmission methods.

[0022] The abnormality module 300 is used to obtain real-time power consumption data and real-time power transmission data, determine abnormalities based on historical data, and the abnormalities include a sudden drop in power generation, excessive load on the power transmission network, or a sharp increase in user power consumption, and determine the cause of the fault based on the abnormalities.

[0023] In this system, the abnormal module 300 obtains real-time power consumption data and real-time power transmission data. The power sales company obtains the user's power consumption data and the data of the power transmission network in real time, and combines it with historical data to quickly determine whether there are abnormal conditions, such as a sudden drop in power generation, excessive load on the power transmission network, and a sharp increase in user power consumption. Real-time electricity consumption data refers to the electricity usage of users at a certain moment or in a certain period of time. Smart meters can monitor the electricity consumption of each user in real time. Real-time transmission data includes the operation of transmission lines in the power grid. The transmission data can be obtained through the smart grid monitoring system to understand the transmission load status of each area of ​​the power grid. In order to accurately determine whether there is an abnormality, the power sales company will establish a benchmark based on past historical data. Through historical data, the power sales company can set the maximum, minimum and average values ​​of the normal range for each user and each transmission line. When the real-time data exceeds these set normal ranges, it can be determined as abnormal. By comparing real-time data with historical data, the power sales company can determine a variety of abnormal situations and further analyze the causes of these abnormal situations.

[0024] The regional chain module 400 is used to obtain transaction and operation data of the power market. The transaction and operation data are recorded through the regional chain, and the contract, power consumption and transmission are updated in real time.

[0025] In this system, the regional chain module 400 obtains the transaction and operation data of the power market, and records and manages the transaction and operation data in the power market through blockchain technology, which can achieve data transparency, immutability and real-time update. In this case, the power sales company can use blockchain technology to record the power transactions and operation behaviors between power generation enterprises, power grid enterprises and users, and realize the real-time update of contracts, power consumption and transmission.

[0026] like Figure 2 As shown, as a preferred embodiment of the present invention, the time domain module 200 includes: The maximum value unit 201 is used to obtain historical data, obtain a time domain, and obtain a corresponding maximum value according to the time domain division, wherein the maximum value includes a maximum value and a minimum value.

[0027] In this module, the maximum value unit 201 obtains historical data, obtains the power consumption of users in different time periods, and obtains the transmission capacity, which reflects the power transmission capacity and load conditions of the power grid in different time periods, including the actual transmission capacity and loss of the transmission line; In order to effectively analyze data and optimize power dispatch, we must first divide 24 hours into several time periods, the so-called "time domains". This time domain division can be determined based on the volatility of power demand, user behavior, and the load of the power grid. By equally dividing the time domain, 24 hours are divided into several time periods, for example, a day can be divided into 6 time domain segments, each 4 hours, or divided into 8 segments, each 3 hours; According to historical data, the maximum, minimum and average values ​​of power consumption and power transmission in each time domain are obtained. These maximum values ​​will be used for subsequent real-time data comparison and optimization strategy formulation. The maximum value refers to the highest power consumption or power transmission recorded in historical data within a certain time domain. It usually represents the load limit during peak power consumption; the minimum value refers to the lowest power consumption or power transmission within a certain time domain, which usually occurs during low power consumption; the average value refers to the average power consumption or power transmission level within a certain time domain, which serves as the benchmark for optimization and adjustment.

[0028] By analyzing these maximum values, power sales companies can determine the fluctuations in electricity demand in each time domain and formulate plans to optimize power supply and transmission accordingly.

[0029] The first comparison unit 202 is used to compare the maximum value with the real-time power consumption and transmission data, obtain the comparison result, and judge the power demand and the power grid load status according to the comparison result.

[0030] In this module, the first comparison unit 202 compares the maximum value with the real-time power consumption and transmission data. After obtaining the maximum and minimum values ​​of the historical data, the power sales company can compare the real-time power consumption and transmission data with these maximum values ​​to evaluate whether the current power demand and transmission situation are within a reasonable range. If the real-time data exceeds the historical maximum value, it may be necessary to take adjustment measures to optimize the power supply and transmission mode; Real-time power consumption data is compared with the maximum and minimum power consumption values ​​in the time domain to determine whether the current user's power demand is normal. If the real-time power consumption exceeds the historical maximum value, it indicates that the current power demand exceeds expectations and it is necessary to increase power supply or dispatch additional power resources. If the real-time power consumption is lower than the historical minimum value, it indicates that the power demand is insufficient and it may be necessary to reduce power supply or reduce power generation to avoid excess power and waste. The real-time transmission data is compared with the historical maximum and minimum transmission values ​​in the time domain to determine the load status of the power grid. If the real-time transmission exceeds the historical maximum transmission, the power grid may be overloaded, and measures such as load distribution and adjustment of transmission lines are needed to prevent damage to transmission equipment or power outages. If the real-time transmission is significantly lower than the historical data, you can consider lowering the transmission to reduce transmission losses and improve transmission efficiency.

[0031] The optimization unit 203 is used to obtain the judgment result and optimize the power transmission and power supply mode according to the judgment result.

[0032] In this module, the optimization unit 203 obtains the judgment result. If the real-time power consumption exceeds the historical maximum value, the power sales company can meet the demand by mobilizing the backup generator set or purchasing electricity from other power generation companies. In addition, the demand response mechanism can encourage users to reduce load, especially to reduce unnecessary power consumption during peak hours. If the real-time load of a transmission line exceeds the historical maximum value, the power sales company can adjust the power flow and transfer part of the load to other transmission lines that are not fully loaded to avoid overloading of transmission equipment. Assume that the power sales company divides 24 hours into six time zones based on historical data, with the morning peak (6:00-9:00) as one time zone. Historical data shows that the maximum power consumption during this period is 500 MW and the minimum power consumption is 300 MW.

[0033] During the morning peak hours of a certain day, real-time data showed that power consumption reached 520 MW, exceeding the historical maximum. At this time, the power sales company can take the following measures: Dispatching backup power sources: Dispatching backup gas-fired generators in advance or purchasing additional electricity from other power generation companies to meet excess electricity demand.

[0034] Demand response mechanism: Send load reduction requests to large users (such as large industrial enterprises) to encourage them to reduce their electricity load during peak hours, thereby reducing overall electricity demand.

[0035] Through these measures, power sales companies can maintain supply and demand balance and avoid power shortages during peak electricity demand periods.

[0036] Assume that the historical maximum power transmission in the western region of a power grid during the evening peak (18:00-21:00) is 600 MW, and the minimum is 400 MW. During the evening peak one day, the real-time power transmission has reached 630 MW, exceeding the historical maximum, and the power grid may face overload risks.

[0037] Electricity companies can take the following measures: Load redistribution: Through the smart grid system, part of the load is transferred to other transmission lines in neighboring areas, reducing the load on the transmission line and preventing equipment overload.

[0038] Reduce power supply: notify some non-critical users to reduce their power load, such as suspending the operation of large equipment, to ensure the safety and stability of the power transmission network.

[0039] Through load distribution and user load management, power sales companies can effectively reduce grid load and avoid damage to transmission lines or power outages.

[0040] like Figure 3 As shown, as a preferred embodiment of the present invention, the abnormal module 300 includes: The second comparison unit 301 is used to obtain real-time power consumption data and real-time power transmission data, which are obtained through smart meters and smart grids, and compare historical data to obtain comparison results.

[0041] In this module, the second comparison unit 301 obtains real-time power consumption data and real-time power transmission data. The power sales company obtains the user's power consumption data and the data of the power transmission network in real time, and combines it with historical data to quickly determine whether there are abnormal conditions, such as a sudden drop in power generation, excessive load on the power transmission network, and a sharp increase in user power consumption. Real-time electricity consumption data refers to the electricity usage of users at a certain moment or in a certain period of time. Smart meters can monitor the electricity consumption of each user in real time. Real-time transmission data includes the operation of transmission lines in the power grid. Through the smart grid monitoring system, transmission data is obtained to understand the transmission load status of each area of ​​the power grid. In order to accurately determine whether there is an abnormality, the power sales company will establish a benchmark based on past historical data. Through historical data, the power sales company can set the maximum, minimum and average values ​​of the normal range for each user and each transmission line. When the real-time data exceeds these set normal ranges, it can be determined as abnormal.

[0042] The abnormality unit 302 is used to determine the abnormality according to the comparison result, determine the fault type according to the abnormality, and the fault type includes power generation reduction and transmission network load exceeding the standard, and determine the fault cause according to the fault type.

[0043] In this module, the abnormality unit 302 determines the abnormality based on the comparison results. In order to accurately determine whether there is an abnormality, the power sales company will establish a benchmark based on past historical data. These historical data may include power consumption history: based on the data of the past few months or years, determine the user's power consumption habits, seasonal changes, load differences between weekdays and holidays, etc.; power transmission history: historical load conditions, normal transmission capacity and load peak of each transmission line in the power grid; By comparing real-time data with historical data, power sales companies can identify a variety of abnormal situations and further analyze the causes of these abnormal situations; Sudden drop in power generation: If the real-time power generation data obtained by the power sales company from the power generation enterprise suddenly drops sharply, and the drop exceeds the minimum value in the historical data, it can be determined as power generation abnormality.

[0044] Abnormal performance: Power generation is lower than the historical minimum, and power generation companies may experience failures or unplanned shutdowns.

[0045] Cause analysis: Failure of power generation equipment, insufficient fuel supply, natural conditions (such as a drop in wind speed during wind power generation), sudden accidents at power plants, etc. may be the causes.

[0046] The transmission network load exceeds the standard. The judgment method is: when the real-time transmission load data obtained by the power sales company from the power grid enterprise exceeds the historical maximum load of a certain transmission line and is far beyond the historical fluctuation range, it can be judged that the transmission network load exceeds the standard.

[0047] Abnormal performance: The load on a certain transmission line far exceeds the historical maximum value, which may cause line overload or equipment damage.

[0048] Cause analysis: Excessive load may be due to a surge in electricity consumption among users, an imbalance in power flow, or a failure in transmission equipment that results in unreasonable load distribution.

[0049] The fault unit 303 is used to send the fault cause to the terminal and obtain the terminal processing solution.

[0050] In this module, the fault unit 303 sends the fault cause to the terminal, obtains the terminal processing plan, and performs maintenance according to the processing plan. When the power sales company detects a sudden drop in power generation and determines that it is due to power generation equipment failure or insufficient power supply caused by natural conditions, possible processing plans include dispatching backup power generation resources, increasing external power purchases, adjusting loads, or implementing demand response; When the power sales company detects that the load on the transmission line exceeds the standard, the treatment plan includes new allocation of transmission load, activation of backup transmission lines, load reduction and load transfer; When a power sales company discovers that a user's electricity consumption has suddenly increased dramatically and is beyond the expected range, the solution includes detecting user equipment failures, adjusting electricity prices or implementing power restrictions, and notifying users and recommending load transfer.

[0051] Electricity retailers can seamlessly integrate these processing solutions with real-time transactions and operations in the electricity market to ensure rapid response and maintain stable power supply.

[0052] like Figure 4 As shown, as a preferred embodiment of the present invention, the regional chain module 400 includes: The transaction unit 401 is used to obtain transaction and operation data of the power market, wherein the transaction data includes power purchase agreements and power use agreements, and the operation data includes power generation data, power transmission data and power use data.

[0053] In this module, the transaction unit 401 obtains transaction and operation data of the power market. The transaction and operation data in the power market mainly include power transaction data and power operation data. The power transaction data includes power purchase contracts, user power contracts and real-time power transactions: the power purchase contracts signed between the power sales company and the power generation enterprise include the agreed power quantity, price and power supply cycle, the power supply contracts signed between the power sales company and the user include the agreed power demand, price, duration, etc. of the user, and the real-time power transactions between the power generation enterprise and the power sales company in the power wholesale market. These transaction data may include detailed information on bidding, settlement and power delivery; Power operation data includes power generation data, power transmission data and power consumption data, real-time power generation data provided by power generation companies, including power generation from different power sources (such as wind power, solar power and thermal power), power transmission data provided by power grid companies, recording the load, loss and stability of power transmission of each transmission line, and real-time power consumption data of users, usually obtained through smart meters. These data can reflect the power consumption pattern of each user and are used for real-time settlement.

[0054] The regional chain unit 402 is used to upload the transaction and operation data of the power market to the regional chain, and complete the transaction record and operation data record through the regional chain.

[0055] In this module, the regional chain unit 402 uploads the transaction and operation data of the power market to the regional chain. All transactions in the power market, such as power purchase transactions, power sales transactions, power generation contracts, etc., can be recorded through the blockchain. The transparency of the blockchain ensures that every transaction can be traced and cannot be tampered with. For example, the power purchase contract signed between the power sales company and the power generation company can be recorded on the blockchain through a smart contract. When the actual power supply reaches the amount specified in the contract, the transaction is automatically completed; Operational data such as power generation, transmission and user power consumption in the power market are updated in real time through the blockchain. For example, each user's power consumption is uploaded to the blockchain in real time through a smart meter, and both the power sales company and the user can view this data at any time to avoid information asymmetry.

[0056] The updating unit 403 is used to update the contract and the power consumption and transmission in real time. If it is determined that the power consumption and transmission exceed the threshold, the contract is updated.

[0057] In this module, the update unit 403 updates the contract, power consumption, and transmission in real time. The smart contract on the blockchain can be automatically updated according to real-time operation data. For example, if a user's power consumption during peak hours exceeds the basic value specified in the contract, the smart contract will automatically update and implement the new electricity price plan. At the same time, the power purchase contracts of power generation companies and power sales companies will also be adjusted and updated in real time according to changes in power generation; The electricity consumption of a user is recorded in real time by a smart meter and uploaded to the blockchain. Once the data is recorded, no party (including the user and the power sales company) can tamper with it, ensuring the accuracy and fairness of the electricity consumption data. If a user's electricity consumption increases abnormally, the power sales company can find the problem and take countermeasures through the historical records of the blockchain to avoid losses caused by illegal electricity use or meter failure.

[0058] In one embodiment, a computer device is provided, the computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented: The data acquisition module acquires the data of power generation enterprises and power grid enterprises, obtains the power generation through the data of power generation enterprises and power grid enterprises, and obtains the power consumption of registered power users; The time domain module obtains historical data, including power consumption and power transmission, obtains the time domain, and divides 24 hours into several time periods, and each period corresponds to a time range, obtains the time domain maximum value, compares the maximum value with the real-time power consumption and power transmission data, and optimizes the power transmission and power supply mode according to the comparison results; The abnormality module obtains real-time power consumption data and real-time power transmission data, and determines abnormalities based on historical data. The abnormalities include a sudden drop in power generation, excessive load on the power transmission network, or a sharp increase in user power consumption, and determines the cause of the fault based on the abnormalities; The regional chain module obtains the transaction and operation data of the electricity market. The transaction and operation data are recorded through the regional chain, and the contract, power consumption and transmission are updated in real time.

[0059] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the processor performs the following steps: The data acquisition module acquires the data of power generation enterprises and power grid enterprises, obtains the power generation through the data of power generation enterprises and power grid enterprises, and obtains the power consumption of registered power users; The time domain module obtains historical data, including power consumption and power transmission, obtains the time domain, and divides 24 hours into several time periods, and each period corresponds to a time range, obtains the time domain maximum value, compares the maximum value with the real-time power consumption and power transmission data, and optimizes the power transmission and power supply mode according to the comparison results; The abnormality module obtains real-time power consumption data and real-time power transmission data, and determines abnormalities based on historical data. The abnormalities include a sudden drop in power generation, excessive load on the power transmission network, or a sharp increase in user power consumption, and determines the cause of the fault based on the abnormalities; The regional chain module obtains the transaction and operation data of the electricity market. The transaction and operation data are recorded through the regional chain, and the contract, power consumption and transmission are updated in real time.

[0060] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0061] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0062] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0063] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0064] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-dimensional management and control system for registration of power market entities, characterized in that: The system comprises: The data acquisition module acquires the data of power generation enterprises and power grid enterprises, obtains the power generation through the data of power generation enterprises and power grid enterprises, and obtains the power consumption of registered power users; The time domain module obtains historical data, including power consumption and power transmission, obtains the time domain, and divides 24 hours into several time periods, and each period corresponds to a time range, obtains the time domain maximum value, compares the maximum value with the real-time power consumption and power transmission data, and optimizes the power transmission and power supply mode according to the comparison results; The abnormality module obtains real-time power consumption data and real-time power transmission data, and determines abnormalities based on historical data. The abnormalities include a sudden drop in power generation, excessive load on the power transmission network, or a sharp increase in user power consumption, and determines the cause of the fault based on the abnormalities; The regional chain module obtains the transaction and operation data of the electricity market. The transaction and operation data are recorded through the regional chain, and the contract, power consumption and transmission are updated in real time.

2. A multi-dimensional management and control system for registration of power market entities according to claim 1, characterized in that: The electricity consumption situation of the registered electricity users includes real-time electricity consumption data and user electricity demand.

3. A multi-dimensional management and control system for registration of power market entities according to claim 1, characterized in that: The time domain module comprises: A maximum value unit, which obtains historical data, obtains a time domain, and obtains a corresponding maximum value according to the time domain division, wherein the maximum value includes a maximum value and a minimum value; The first comparison unit compares the maximum value with the real-time power consumption and transmission data, obtains the comparison result, and determines the power demand and the power grid load status according to the comparison result; The optimization unit obtains the judgment result and optimizes the transmission and power supply mode according to the judgment result.

4. A multi-dimensional management and control system for registration of power market entities according to claim 3, characterized in that: The time domain is an equally divided time domain.

5. A multi-dimensional management and control system for registration of power market entities according to claim 3, characterized in that: The abnormal module includes: A second comparison unit is configured to obtain real-time power consumption data and real-time power transmission data, wherein the real-time power consumption data and real-time power transmission data are obtained through a smart meter and a smart grid, and compare the historical data to obtain a comparison result; An abnormality unit determines an abnormality according to the comparison result, determines a fault type according to the abnormality, wherein the fault type includes a decrease in power generation and an excessive load on the power transmission network, and determines a fault cause according to the fault type; The fault unit sends the fault cause to the terminal and obtains the terminal processing solution.

6. A multi-dimensional management and control system for registration of power market entities according to claim 5, characterized in that: The real-time electricity consumption data and real-time power transmission data are obtained through smart meters and smart grids.

7. A multi-dimensional management and control system for registration of power market entities according to claim 5, characterized in that: The regional chain module includes: The trading unit obtains the transaction and operation data of the power market; The regional chain unit uploads the transaction and operation data of the power market to the regional chain, and completes the transaction record and operation data record through the regional chain; The updating unit updates the contract and the power consumption and transmission in real time. If it is determined that the power consumption and transmission exceed the threshold, the contract is updated.

8. A multi-dimensional management and control system for registration of power market entities according to claim 7, characterized in that: The transaction data includes power purchase contracts and power use contracts, and the operation data includes power generation data, power transmission data and power use data.

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