Marketized power marketing system capable of dynamically adjusting electricity price strategy

Abstract

The invention discloses a marketization electricity marketing system capable of dynamically adjusting an electricity price strategy. According to the system, dynamic adjustment of the electricity price is achieved through cooperative work of a plurality of modules. The contract input module inputs power supply contract information, and the power consumption monitoring module monitors and records power consumption in real time. The detection module regularly checks the contract state and calculates the difference value between the actual electricity consumption and the contract electricity consumption. When the difference value exceeds a set threshold value, the processing module triggers feedback, and the surplus power processing module searches whether an enterprise can use surplus power to reduce waste. And the feedback module dynamically adjusts the electricity price in the next contract according to the electricity payment mode of the enterprise, the ratio of the electric quantity difference value to the threshold value and the residual electricity disposal result, and notifies the enterprise through an e-mail, a short message or a 5G network. The system aims at promoting an enterprise to reasonably use electric power resources, reducing waste and guiding the enterprise to optimize an energy consumption structure through economic means.

Description

Technical Field

[0001] The present invention relates to the technical field, and in particular to a market-oriented power marketing system that dynamically adjusts power price strategies. Background Art

[0002] Market-based power marketing refers to the effective allocation and sale of power resources through flexible marketing methods and policy adjustments based on market demand and competition mechanisms. It emphasizes the balance between power supply and demand, as well as the fairness, justice and openness of the power market.

[0003] Dynamic adjustment of electricity prices refers to real-time or regular adjustment of electricity prices based on factors such as changes in supply and demand in the electricity market, electricity consumption behavior of electricity users, and electricity production costs. This adjustment aims to reflect the true value of electricity, encourage electricity users to save electricity, and improve the efficiency of electricity resource utilization.

[0004] Disadvantages of existing electricity price adjustment: However, traditional electricity price adjustment methods often cannot be flexibly adjusted according to the specific electricity consumption behavior of electricity users, resulting in the continued existence of energy waste problems. For example, some electricity users may have a large deviation between actual electricity consumption and contracted electricity consumption due to inaccurate forecasts or poor management, and this deviation has not been corrected in a timely and effective manner through electricity price adjustments. This not only causes a waste of electricity resources, but also brings unnecessary economic losses to power companies. Therefore, the market urgently needs a market-based electricity marketing system that can dynamically adjust electricity price strategies to solve these problems.

[0005] To this end, we propose a market-based power marketing system that dynamically adjusts electricity price strategies Summary of the invention

[0006] The purpose of the present invention is to provide a market-oriented power marketing system that dynamically adjusts the electricity price strategy to solve the above-mentioned deficiencies in the prior art.

[0007] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a market-oriented power marketing system for dynamically adjusting power price strategy, comprising:

[0008] Contract input module: The contract input module is used to scan and input the power supply contract information signed with the power user;

[0009] Power consumption monitoring module: It is used to monitor and record the power consumption of each power-consuming enterprise and summarize the power consumption of each power-consuming enterprise;

[0010] Detection module: The detection module is used to regularly check the contract status in the database. When it is detected that the contract of an electricity-using enterprise is about to expire, the electricity consumption monitoring module is automatically triggered to find and calculate the actual electricity consumption of the enterprise during the contract period. At the same time, the corresponding contract electricity consumption of the enterprise is found from the database;

[0011] Processing module: It is connected to the detection module and calculates the absolute value of the difference between the contracted power consumption and the actual power consumption. When the absolute value of the difference is greater than the set threshold, feedback is triggered;

[0012] Surplus power disposal module: When the absolute value of the difference between the contracted power and the actual power consumption is greater than the set threshold, it is used to search the database for enterprises whose actual power consumption is greater than the contracted power. If so, this part of the power will not be wasted. If not, this part of the power will be wasted.

[0013] Feedback module: When the absolute value of the difference between the contracted electricity and the actual electricity consumption is greater than the set threshold, the electricity payment method of the electricity user in the database is searched, and the electricity price in the next contract of the enterprise is dynamically adjusted according to the payment method, the ratio of the difference between the contracted electricity and the actual electricity consumption to the threshold, and the disposal result of the surplus electricity by the surplus power disposal module.

[0014] As a further description of the above technical solution: the specific method of the contract input module to enter the contract information is divided into the following steps:

[0015] A: Convert the paper electricity supply contract into a digital image using a scanner / photographing device;

[0016] B: Use OCR (Optical Character Recognition) technology to extract text information from digital images and convert it into editable text data;

[0017] C: Through customized contract parsing software, text data is structured and key information such as contract quantity, electricity price, and contract period are extracted;

[0018] D: Store the parsed contract information in a structured format in the database.

[0019] As a further description of the above technical solution: the specific steps of the power consumption monitoring module to monitor the power consumption are:

[0020] E: Through the smart meter network, the electricity consumption data of each electricity user is collected in real time.

[0021] F: Use data cleaning software to pre-process the collected raw data and remove outliers and duplicate data.

[0022] G: Through the data summary tool, the cleaned electricity consumption data is summarized by enterprise and time period to form an electricity consumption report, and the electricity consumption report is stored in the database.

[0023] As a further description of the above technical solution: the specific steps of the detection module monitoring the contract status are:

[0024] H: Set a scheduled task to regularly scan the contract status in the database. When it is detected that the contract is about to expire, the power consumption monitoring module will be triggered to generate a power consumption report.

[0025] I: Use SQL query statements to find the corresponding contracted electricity consumption of the enterprise from the database, and then use the comparison tool to calculate the absolute value of the difference between the actual electricity consumption and the contracted electricity consumption.

[0026] As a further description of the above technical solution: the specific operation steps of the processing module and the surplus power disposal module are:

[0027] J: Receive the absolute value of the power difference transmitted by the detection module, use the preset threshold judgment logic to compare the absolute value of the power difference with the set threshold, and if the absolute value of the power difference is greater than the threshold, trigger the feedback module through the conditional judgment statement;

[0028] K: When the processing module triggers feedback, it queries the database to see whether there are enterprises whose actual electricity consumption is greater than the contracted electricity consumption, and then uses the data matching algorithm to find qualified electricity-consuming enterprises. If there are qualified enterprises, the power allocation plan is calculated to reduce waste. If there are no qualified enterprises, the waste is recorded.

[0029] As a further description of the above technical solution: the specific steps of the feedback module to dynamically adjust the electricity price are:

[0030] M: According to the feedback information triggered by the processing module, the electricity payment method of the electricity user in the database is queried, and the electricity price in the next contract is calculated by using the electricity price adjustment algorithm, combining the payment method, the ratio of the electricity difference to the threshold, and the result of the remaining power disposal;

[0031] N: The electricity price adjustment results will be notified to electricity users via email / SMS / 5G network.

[0032] In the above technical solution, the market-oriented power marketing system for dynamically adjusting the power price strategy provided by the present invention has the following beneficial effects:

[0033] Promoting the rational use of power resources: By dynamically adjusting the electricity price strategy, the system can encourage enterprises to more accurately predict and plan their power needs, thereby avoiding unnecessary power waste. This mechanism helps enterprises optimize energy use and improve overall energy efficiency, while also providing a more stable source of revenue for power suppliers.

[0034] Realize precise power marketing: The system can automatically identify and process the difference between contracted power and actual power consumption, and adjust the power price in a timely manner according to the difference. This market-based power price adjustment mechanism makes power marketing more precise and efficient, and helps to achieve a balance between supply and demand in the power market.

[0035] Improve the automation and intelligence level of the system: With the help of advanced technologies such as smart meter network, OCR technology, data cleaning software, etc., the system realizes real-time monitoring of electricity consumption and accurate data processing. This not only improves the automation level of the system, but also enhances the intelligence level of the system, making power marketing management more convenient and efficient. DETAILED DESCRIPTION

[0036] An embodiment of the present invention provides a market-based power marketing system for dynamically adjusting power price strategies, comprising:

[0037] Contract input module: The contract input module is used to scan and input the power supply contract information signed with the power user;

[0038] Among them, the specific steps for the contract input module to enter contract information are:

[0039] A: Convert the paper electricity supply contract into a digital image using a scanner / photographing device;

[0040] B: Use OCR (Optical Character Recognition) technology to extract text information from digital images and convert it into editable text data;

[0041] C: Use custom contract parsing software to structure the text data and extract key information including but not limited to contract quantity, electricity price, and contract period;

[0042] D: Store the parsed contract information in a structured format in the database.

[0043] It should be noted that the specific steps for processing using custom contract parsing software are:

[0044] First, receive the contract data uploaded from a scanner, camera or electronic document. Then, pre-process the data, such as denoising and format conversion, to ensure the accuracy of subsequent processing. For the contract, the contract parsing software uses OCR technology to convert the text in the image into editable text data, and then applies NLP technology to understand and analyze the contract text to identify key information in the contract, such as contract electricity, electricity price, contract period, etc. After identifying the key information, the software will store the information in a structured format;

[0045] In order to ensure the accuracy of the data, after the software extracts key information, it can add data verification and validation steps, including but not limited to checking whether the extracted data conforms to the expected format (such as numbers, dates, etc.).

[0046] Power consumption monitoring module: It is used to monitor and record the power consumption of each power-consuming enterprise and summarize the power consumption of each power-consuming enterprise;

[0047] Among them, the specific steps of the power consumption monitoring module to monitor the power consumption are:

[0048] E: Through the smart meter network, the electricity consumption data of each electricity user is collected in real time.

[0049] F: Use data cleaning software to pre-process the collected raw data and remove outliers and duplicate data.

[0050] G: Through the data summary tool, the cleaned electricity consumption data is summarized by enterprise and time period to form an electricity consumption report, and the electricity consumption report is stored in the database;

[0051] Detection module: The detection module is used to regularly check the contract status in the database. When it is detected that the contract of an electricity-using enterprise is about to expire, the electricity consumption monitoring module is automatically triggered to find and calculate the actual electricity consumption of the enterprise during the contract period. At the same time, the corresponding contract electricity consumption of the enterprise is found from the database;

[0052] Among them, the specific steps for the detection module to monitor the contract status are:

[0053] H: Set a scheduled task to regularly scan the contract status in the database. When it is detected that the contract is about to expire, the power consumption monitoring module will generate a power consumption report.

[0054] I: Use SQL query statements to find the corresponding contracted electricity consumption of the enterprise from the database, and then use the comparison tool to calculate the absolute value of the difference between the actual electricity consumption and the contracted electricity consumption;

[0055] It should be noted that when setting a scheduled task, first, a scheduled task (Cron job) needs to be configured in the system. The task will be automatically executed at a predetermined time interval (such as daily, weekly or monthly). After the scheduled task is triggered, the detection module will connect to the database and execute an SQL query to scan the contract records of all electricity users, querying the expiration date field of the contract to identify the expiring contracts. For each scanned contract record, the detection module will compare the current date with the expiration date of the contract. If the difference between the current date and the expiration date is less than the preset threshold (such as 10 days), it is considered that the contract is about to expire. Once a contract that is about to expire is detected, the detection module will automatically trigger the electricity monitoring module by sending a request or message to the electricity monitoring module. The request contains relevant information about the expiring contract (such as enterprise ID, contract ID, etc.);

[0056] After the power consumption monitoring module receives the information from the detection module, the power consumption monitoring module executes an SQL statement containing the enterprise ID and the contract ID as parameters to find the contract power corresponding to the enterprise from the database. Then, the power consumption monitoring module will use the previously collected and stored power consumption data to calculate the actual power consumption of the enterprise during the contract period. Finally, the power consumption monitoring module will use a comparison tool (such as a mathematical function library in a programming language) to calculate the absolute value of the difference between the actual power consumption and the contract power consumption.

[0057] Among them, the detection module sends a trigger request or message to the power consumption monitoring module through an internal communication mechanism, such as an API call. The trigger request or message contains relevant information of the expiring contract so that the power consumption monitoring module can identify and process the monitoring task of the contract.

[0058] Processing module: It is connected to the detection module and calculates the absolute value of the difference between the contracted power consumption and the actual power consumption. When the absolute value of the difference is greater than the set threshold, feedback is triggered;

[0059] Surplus power disposal module: When the absolute value of the difference between the contracted power and the actual power consumption is greater than the set threshold, it is used to search the database for enterprises whose actual power consumption is greater than the contracted power. If so, this part of the power will not be wasted. If not, this part of the power will be wasted.

[0060] The specific operation steps of the processing module and the surplus power disposal module are:

[0061] J: Receive the absolute value of the power difference transmitted by the detection module, use the preset threshold judgment logic to compare the absolute value of the power difference with the set threshold, and if the absolute value of the power difference is greater than the threshold, trigger the feedback module through the conditional judgment statement;

[0062] K: When the processing module triggers feedback, it queries the database to see if there are enterprises whose actual electricity consumption is greater than the contracted electricity consumption, and then uses the data matching algorithm to find qualified electricity users. If there are qualified enterprises, the power allocation plan is calculated to reduce waste. If there are no qualified enterprises, the waste is recorded;

[0063] It should be noted that the processing module receives the absolute value of the power difference from the detection module through an interface or database query, and the processing module presets a set of threshold judgment logic to compare the received absolute value of the power difference with the set threshold. This can be achieved through conditional statements (such as if-else) in programming languages ​​(such as Java and Python), and the setting of the threshold is adjusted according to the total amount of power in the contract. Assuming that the contract power is X kWh, the threshold is Y*X kWh, and Y is the set threshold percentage;

[0064] When the absolute value of the difference between the contracted electricity consumption and the actual electricity consumption is greater than the set threshold, the surplus electricity disposal module searches the database to see whether there are enterprises whose actual electricity consumption is greater than the contracted electricity consumption.

[0065] Utilize data matching algorithm and database query statement to find all qualified electricity users. Here can utilize data matching algorithm and database query statement to realize, for all qualified enterprises, surplus power disposal module calculates their total excess electricity (that is, among these enterprises, the actual electricity consumption monitored by the electricity consumption monitoring module in the database minus the contractual electricity consumption), at the same time, calculates the total unused contractual electricity (that is, the total electricity wasted by those enterprises whose contractual electricity consumption has not been used up). If the difference between the total excess electricity and the total wasted electricity is large, it means that the unused power capacity in those contracts can be reasonably used by other electricity users, and there will be no waste of power capacity. Otherwise, it means that there is a waste of power capacity.

[0066] Feedback module: When the absolute value of the difference between the contracted power and the actual power consumption is greater than the set threshold, the electricity payment method of the power user in the database is searched, and the electricity price in the next contract of the enterprise is dynamically adjusted according to the payment method, the ratio of the difference between the contracted power and the actual power consumption to the threshold, and the disposal result of the surplus power by the surplus power disposal module;

[0067] Among them, the specific steps for the feedback module to dynamically adjust the electricity price are:

[0068] M: According to the feedback information triggered by the processing module, the electricity payment method of the electricity user in the database is queried, and the electricity price in the next contract is calculated by using the electricity price adjustment algorithm, combining the payment method, the ratio of the electricity difference to the threshold, and the result of the remaining power disposal;

[0069] N: The electricity price adjustment results will be notified to electricity users via email / SMS / 5G network.

[0070] It should be noted that the specific electricity price adjustment strategy is that for enterprises that fail to use the contracted electricity as agreed, the feedback module will implement a dynamic electricity price adjustment strategy. This strategy is based on the enterprise's electricity payment method (full payment in advance or payment in the later period), the ratio of the electricity difference to the threshold, and the results of the remaining power disposal. For enterprises that have paid in full in the early stage and have not used up all the electricity, if the results of the remaining power disposal show that the supplier has not suffered losses (that is, the power capacity has not been wasted), the electricity price will be appropriately reduced in the next contract, and the enterprise will be notified to optimize the energy use plan to save resources. However, if there is a waste of electricity, the loss will be apportioned according to the ratio of the wasted electricity of the enterprise to the total waste, and the electricity price will be adjusted accordingly; if the loss exceeds the value of the unused electricity, the electricity fee will be increased, otherwise it will be reduced. For enterprises that pay in the later period, even if the electricity is not wasted, since they will not pay the full electricity fee in advance, the electricity fee needs to be appropriately increased to balance the risk. If there is a waste of electricity, the loss will also be apportioned according to the ratio of the wasted electricity to the total waste, and the electricity price will be adjusted accordingly. This dynamic adjustment mechanism aims to promote enterprises to use electricity resources rationally, reduce waste, and guide enterprises to optimize energy consumption structure through economic means to achieve effective allocation and utilization of energy. At the same time, through a timely notification mechanism, it ensures that enterprises can understand the adjustment of electricity prices in a timely manner and make corresponding adjustments.

[0071] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that, for those skilled in the art, the described embodiments can be modified in various ways without departing from the spirit and scope of the present invention. Therefore, the above description is illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A market-based power marketing system for dynamically adjusting power price strategies, characterized in that: include: Contract input module: The contract input module is used to scan and input the power supply contract information signed with the power user; Power consumption monitoring module: It is used to monitor and record the power consumption of each power-consuming enterprise and summarize the power consumption of each power-consuming enterprise; Detection module: The detection module is used to regularly check the contract status in the database. When it is detected that the contract of an electricity-using enterprise is about to expire, the electricity consumption monitoring module is automatically triggered to find and calculate the actual electricity consumption of the enterprise during the contract period. At the same time, the corresponding contract electricity consumption of the enterprise is found from the database; Processing module: It is connected to the detection module and calculates the absolute value of the difference between the contracted power consumption and the actual power consumption. When the absolute value of the difference is greater than the set threshold, feedback is triggered; Surplus power disposal module: When the absolute value of the difference between the contracted power and the actual power consumption is greater than the set threshold, it is used to search the database for enterprises whose actual power consumption is greater than the contracted power. If so, this part of the power will not be wasted. If not, this part of the power will be wasted. Feedback module: When the absolute value of the difference between the contracted electricity and the actual electricity consumption is greater than the set threshold, the electricity payment method of the electricity user in the database is searched, and the electricity price in the next contract of the enterprise is dynamically adjusted according to the payment method, the ratio of the difference between the contracted electricity and the actual electricity consumption to the threshold, and the disposal result of the surplus electricity by the surplus power disposal module.

2. A market-based power marketing system for dynamically adjusting power price strategies according to claim 1, characterized in that: The specific method for the contract input module to enter the contract information is divided into the following steps: A: Convert the paper electricity supply contract into a digital image using a scanner / photographing device; B: Use OCR (Optical Character Recognition) technology to extract text information from digital images and convert it into editable text data; C: Through customized contract parsing software, text data is structured and key information such as contract quantity, electricity price, and contract period are extracted; D: Store the parsed contract information in a structured format in the database.

3. A market-based power marketing system for dynamically adjusting power price strategies according to claim 2, characterized in that: The specific steps of the power consumption monitoring module to monitor the power consumption are as follows: E: Through the smart meter network, the electricity consumption data of each electricity user is collected in real time. F: Use data cleaning software to pre-process the collected raw data and remove outliers and duplicate data. G: Through the data summary tool, the cleaned electricity consumption data is summarized by enterprise and time period to form an electricity consumption report, and the electricity consumption report is stored in the database.

4. A market-based power marketing system for dynamically adjusting power price strategies according to claim 3, characterized in that: The specific steps of the detection module monitoring the contract status are: H: Set a scheduled task to regularly scan the contract status in the database. When it is detected that the contract is about to expire, the power consumption monitoring module will be triggered to generate a power consumption report. I: Use SQL query statements to find the corresponding contracted electricity consumption of the enterprise from the database, and then use the comparison tool to calculate the absolute value of the difference between the actual electricity consumption and the contracted electricity consumption.

5. A market-based power marketing system for dynamically adjusting power price strategy according to claim 4, characterized in that: The specific operation steps of the processing module and the surplus power disposal module are: J: Receive the absolute value of the power difference transmitted by the detection module, use the preset threshold judgment logic to compare the absolute value of the power difference with the set threshold, and if the absolute value of the power difference is greater than the threshold, trigger the feedback module through the conditional judgment statement; K: When the processing module triggers feedback, it queries the database to see whether there are enterprises whose actual electricity consumption is greater than the contracted electricity consumption, and then uses the data matching algorithm to find qualified electricity-consuming enterprises. If there are qualified enterprises, the power allocation plan is calculated to reduce waste. If there are no qualified enterprises, the waste is recorded.

6. A market-based power marketing system for dynamically adjusting power price strategies according to claim 5, characterized in that: The specific steps of the feedback module to dynamically adjust the electricity price are: M: According to the feedback information triggered by the processing module, the electricity payment method of the electricity user in the database is queried, and the electricity price in the next contract is calculated by using the electricity price adjustment algorithm, combining the payment method, the ratio of the electricity difference to the threshold, and the result of the remaining power disposal; N: The electricity price adjustment results will be notified to electricity users via email / SMS / 5G network.