Carbon reduction optimization method for transformer substation

Abstract

The invention discloses a carbon reduction optimization method for a transformer substation, and relates to the technical field of transformer substation optimization, and the method comprises the following steps: obtaining the power distribution quantity of the transformer substation and the load power consumption of different regions, and calculating the matching degree of the power distribution quantity of the transformer substation and the load power consumption according to the power distribution quantity of the transformer substation and the total load power consumption; obtaining a load peak-valley difference rate according to the load electricity consumption of different areas, and calculating first optimization data by combining the load electricity consumption with the matching degree of the distribution quantity of the transformer substation; obtaining the power loss of the transformer substation, correcting the first optimization data based on a preset second optimization data calculation formula according to the power loss of the transformer substation to obtain second optimization data, and performing energy-saving optimization on the transformer substation according to the second optimization data; the energy consumption problem of the transformer substation is optimized, so that the carbon emission of the transformer substation is reduced, and the influence on the environment is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of substation optimization, and more specifically, to a carbon reduction optimization method for a substation. Background Art

[0003] Substation is one of the important links in the power system. The operation of substation is bound to cause some energy loss. Its energy consumption is mainly generated by electrical equipment such as transformers, reactors and wires. In addition, auxiliary power systems such as air conditioning and lighting in the substation will also produce certain energy loss. Therefore, scientifically selecting new energy-saving and consumption-reducing transformers, reactors, wires and other electrical equipment will greatly reduce the energy loss of substations; traditional substation carbon reduction optimization methods only analyze the load peak-to-valley difference rate and the matching degree of load power consumption with the substation distribution power; compared with traditional substation carbon reduction optimization methods, the present invention also analyzes the energy saving and consumption reduction of its transformer electrical equipment and station equipment in terms of substation carbon reduction optimization, thereby optimizing the energy consumption problem of the substation.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a carbon reduction optimization method for a substation, and optimizes the energy consumption problem of the substation by providing a carbon reduction optimization method for a substation.

[0006] To achieve the above object, the present invention provides the following technical solutions: A carbon reduction optimization method for a substation comprises the following steps: obtaining the power distribution of the substation and the load power consumption in different areas, and calculating the matching degree between the power distribution of the substation and the load power consumption according to the power distribution of the substation and the total load power consumption; obtaining the load peak-to-valley difference rate according to the load power consumption in different areas, and calculating the matching degree between the load power consumption and the power distribution of the substation to obtain first optimization data; obtaining the power loss of the substation, and correcting the first optimization data according to the power loss of the substation based on a preset second optimization data calculation formula to obtain second optimization data, and performing energy-saving optimization on the substation according to the second optimization data.

[0007] In a preferred embodiment, the specific method for obtaining the matching degree between the substation power distribution and the load power consumption is as follows: respectively obtain the load power consumption of the residential area, commercial area, and industrial park, add the load power consumption of the residential area, commercial area, and industrial park to obtain the total load power consumption; divide the calculated total load power consumption by the substation power distribution to obtain the matching degree between the substation power distribution and the load power consumption.

[0008] In a preferred embodiment, the specific method for obtaining the load peak-to-valley difference rate is as follows: the load power consumption in different areas within a preset time is plotted on the same coordinate system, with time as the x-axis and the load power consumption as the y-axis; the load power consumption in different areas per hour is calculated according to the curve integral, and the load power consumption in different areas per hour is added to obtain the total load power consumption per hour; the total load power consumption per hour is compared and analyzed, and the maximum value is recorded as the load power consumption peak value, and the minimum value is recorded as the load power consumption valley value; the difference between the load power consumption peak value and the load power consumption valley value is calculated, and the ratio of the difference between the load power consumption peak value and the load power consumption valley value to the load power consumption valley value is used as the load peak-to-valley difference rate.

[0009] In a preferred embodiment, the specific method for obtaining the power loss of the substation is as follows: measure the power of the transformer in a no-load state, recorded as no-load loss; calculate the average value and standard deviation of the total load power consumption, and use the ratio of the average value to the standard deviation as the load fluctuation coefficient; compare the average value of the total load power consumption with the load power consumption peak to obtain the load factor; compare the substation power distribution with the preset time to obtain the output power, compare the total load power consumption with the preset time to obtain the input power, and subtract the output efficiency from the input efficiency to obtain the load loss; the no-load loss, combined with the load fluctuation coefficient, the load factor and the load loss are used to obtain the power loss of the substation according to the preset power loss calculation formula.

[0010] In a preferred embodiment, the specific method for energy-saving optimization of the substation according to the second optimization data is as follows: the second optimization data is compared with a preset optimization threshold. When the second optimization data is less than the preset optimization threshold, the maintenance personnel immediately maintain the substation equipment and conduct continuous testing; when the second optimization data is greater than the preset optimization threshold, there is no need to maintain the substation equipment and conduct continuous testing.

[0011] Technical effects and advantages of a carbon reduction optimization method for a substation of the present invention: 1. The present invention reduces dependence on high-carbon emission power sources and achieves a cleaner power supply by analyzing load power consumption and substation energy consumption; improves the operation mode of equipment, reduces unnecessary energy loss, reduces overall carbon emissions, optimizes load distribution and power flow, avoids excessive operation of substations or operation in inefficient areas, and improves overall energy efficiency; introduces an intelligent control system to monitor and adjust the operating status of equipment in real time, improve energy efficiency, optimize the design and operation of substations, enable better access to renewable energy such as wind and solar energy, and reduce dependence on traditional fossil energy.

[0012] 2. The present invention avoids equipment overload operation, reduces wear and tear, and extends equipment service life by reasonably scheduling loads; realizes real-time monitoring and fault warning through threshold analysis, discovers potential problems in advance, reduces the occurrence of power outages and system failures, and reasonably adjusts the operation strategy of the substation through accurate load forecasting to avoid the impact of load imbalance on system stability; introduces advanced monitoring technologies, such as online monitoring and diagnosis, and performs maintenance in a timely manner to prevent equipment failures; reduces power consumption by optimizing energy use and improving equipment efficiency, thereby reducing electricity bills. Since the operating status of the equipment is optimized, the maintenance demand is reduced, and the cost of maintenance and repair is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The present invention is a structural schematic diagram of a carbon reduction optimization method for a substation. DETAILED DESCRIPTION

[0014] 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Embodiment 1, Figure 1 The present invention provides a carbon reduction optimization method for a substation.

[0016] S10, obtaining the power distribution of the substation and the load power consumption in different areas, and calculating the matching degree between the power distribution of the substation and the load power consumption according to the power distribution of the substation and the total load power consumption; First, obtain the substation power distribution according to the substation monitoring equipment ; The different areas include residential areas, commercial areas, and industrial parks; The specific steps to obtain the load power consumption of the residential area are as follows: Obtain the electricity consumption of each household, and add up the electricity consumption of each household to obtain the load electricity consumption of the residential area; The specific calculation formula for the load power consumption of the residential area is as follows:

[0017] In the formula, is the load power consumption in the residential area, is the electricity consumption of each household, is the number of households; The specific steps to obtain the load power consumption in the commercial area are as follows: Obtain the power consumption of each commercial facility, multiply the power consumption of each commercial facility by the number of each commercial facility to obtain the total power consumption of each commercial facility, and sum the total power consumption of each commercial facility to obtain the load power consumption of the commercial area; The specific calculation formula for the load power consumption in the commercial area is as follows:

[0018] In the formula, is the load power consumption in the commercial area, is the electricity consumption of various commercial facilities. is the number of commercial facilities, is the number of different types of commercial facilities; The specific steps to obtain the load power consumption of the industrial park are as follows: Obtain the power consumption of each industrial park facility, multiply the power consumption of each industrial park facility by the number of facilities in each industrial park to obtain the total power consumption of each industrial park facility, and sum the total power consumption of each industrial park facility to obtain the load power consumption of the industrial park; The specific calculation formula for the load power consumption of the industrial park is as follows:

[0019] In the formula, is the load power consumption of the industrial park, is the electricity consumption of facilities in each industrial park, is the number of industrial park facilities, is the number of types of facilities in different industrial parks; The total load power consumption is obtained by adding up the load power consumption of the residential area, commercial area, and industrial park. The specific calculation formula of the total load power consumption is as follows:

[0020] In the formula, is the total load power consumption, is the load power consumption in the residential area, is the load power consumption in the commercial area, is the load power consumption of the industrial park; The matching degree between load power consumption and substation power distribution is calculated based on the substation power distribution and the total load power consumption. The specific method for obtaining the matching degree between load power consumption and substation power distribution is as follows: Calculate the ratio of the substation power distribution and the total load power consumption to obtain the matching degree between the load power consumption and the substation power distribution; The specific calculation formula for the matching degree between load power consumption and substation power distribution is as follows:

[0021] In the formula, It is the matching degree between load power consumption and substation power distribution. is the power distribution of the substation, is the total load power consumption; The matching degree between the substation power distribution and the load power consumption has many effects on the optimization of the substation. Specifically, this matching degree analysis has the following effects on the optimization of the substation: 1. Ensure equipment load balance Avoid overload: By calculating the matching degree, it can be determined whether the power distribution capacity of the substation is sufficient to meet the actual load demand, avoiding equipment overload, which may cause equipment failure or power supply interruption; Load balancing: Optimizing power distribution capacity can help achieve uniform load distribution, reduce the load pressure on a single transformer or distribution line, and improve system stability and reliability; 2. Improve power system design Reasonable equipment configuration: According to the matching analysis results, the equipment configuration in the substation can be adjusted to ensure that the capacity and quantity of equipment such as transformers and circuit breakers meet the actual load requirements. Optimize substation expansion plan: If the matching degree is low, it may be necessary to plan to build additional substations or upgrade existing equipment to accommodate future load growth; 3. Improve system efficiency Reduce losses: Reasonable matching of power distribution and load power consumption can reduce losses in power transmission and improve overall system efficiency. Optimize power dispatch: Accurate matching calculation can help more efficient power dispatch, reduce energy waste and operating costs; 4. Prevent and reduce failures Reduce the risk of failure: By analyzing the matching degree, potential risk areas can be identified, such as possible bottlenecks during peak load periods, so that measures can be taken to reduce the occurrence of failures; Improve emergency response capabilities: Understanding the degree of fit helps develop effective emergency plans to deal with unexpected events such as equipment failure or load surges; 5. Support decision-making and planning Optimizing investment decisions: Fit analysis can inform investment decisions, helping decision makers assess whether additional distribution capacity or other system improvements are needed; Guide maintenance strategy: formulate reasonable equipment maintenance and upgrade strategies based on the matching degree of load and distribution capacity to ensure the long-term stability and economy of the system; 6. Improve user satisfaction Improve power supply reliability: Optimize the matching degree between substation power distribution and load power consumption, which helps to reduce power outages and power interruptions, and improve users' power consumption experience; Respond to demand changes: Able to quickly respond to load changes and adjust power distribution strategies to better meet users' power needs; In general, the matching analysis between power distribution and load power consumption can not only improve the operating efficiency and reliability of substations, but also optimize system design, reduce costs, and improve user satisfaction. Through scientific analysis and optimization, the sustainable development and efficient operation of the power system can be achieved; S20, obtaining a load peak-valley difference rate according to load power consumption in different areas, and obtaining first optimization data by combining the load power consumption with the power distribution of the substation; The first optimization data is obtained by combining the matching degree of load power consumption and substation power distribution with the load peak-valley difference rate; the specific steps of the load peak-valley difference rate are as follows: Plotting the load power consumption in different areas within a preset time on the same coordinate system, with time as the x-axis and load power consumption as the y-axis; Calculate the load power consumption of different areas per hour according to the curve integral, and add up the load power consumption of different areas per hour to obtain the total load power consumption per hour; Compare and analyze the total load power consumption per hour, record the maximum value as the load power consumption peak value, record the minimum value as the load power consumption valley value, and calculate the mean and standard deviation of the total load power consumption per hour; The peak-to-valley difference of load power consumption is calculated based on the maximum and minimum values ​​of total load power consumption per hour, and combined with the load mean and standard deviation, the load quantity is recorded to obtain the load peak-to-valley difference rate; The specific calculation formula of the load peak-to-valley difference rate is as follows:

[0022] In the formula, is the load peak-to-valley ratio, is the peak load, is the load valley value, is the load standard deviation, is the load average value, Record the load quantity; The specific calculation formula of the first optimization data is as follows:

[0023] In the formula, is the first optimization data, is the load peak-to-valley ratio, It is the matching degree between load power consumption and substation power distribution; It should be noted that the first optimization data is obtained by calculating the load peak-valley difference rate and the power distribution matching degree. The load peak-valley difference rate can be used to identify the high-fluctuation area of ​​the load. Large fluctuations may lead to problems such as frequent startup and shutdown of equipment and uneven load. Understanding load fluctuations can help optimize the operation strategy of substation equipment and reduce equipment pressure and failure risks caused by load fluctuations. However, the first optimization data does not consider the impact of the power loss of the substation on the optimization, so the energy-saving effect of optimizing the substation according to the first data is not ideal. The process of optimizing substations involves detailed load analysis and distribution management to achieve efficient operation of the power system. The following is a detailed description of the role of optimization data obtained by obtaining the load peak-to-valley difference rate based on the load power consumption in different areas and combining the matching degree of load power consumption with substation distribution power on substation optimization: 1. Improve equipment utilization The calculation of load peak-to-valley rate can help identify areas with large load fluctuations. By analyzing the load data in these areas, the power distribution strategy of the substation can be adjusted so that the equipment of the substation can be reasonably utilized under different load conditions. By matching the peak and valley values ​​of load power consumption, the transformer allocation and load scheduling of the substation can be adjusted to avoid equipment overload or idleness, thereby improving the efficiency of equipment use; Proper load management can also help extend the service life of substation equipment and reduce maintenance frequency and costs; 2. Reduce energy costs The peak-valley rate of load reflects the fluctuation of load. The power demand is usually higher during peak hours, while the demand is lower during valley hours. By analyzing these fluctuations, power supply and demand management can be optimized during peak hours, reducing the burden of peak electricity prices. Evenly distributing loads over different time periods helps avoid excessive reliance on expensive backup power during peak hours, thereby reducing overall energy costs; Optimizing power distribution can also reduce energy waste caused by overload or unbalanced load, further reducing operating costs; 3. Enhance power supply reliability Through load analysis and optimization, the power distribution of substations can better match the actual load demand, thereby reducing the risk of failure in the power system; For areas with large load fluctuations, optimizing power distribution can help disperse the load, avoid overloading of a single device, and enhance the stability of the entire power system; Proper load distribution and equipment optimization can also reduce voltage fluctuations caused by unbalanced loads and improve the reliability and quality of power supply; 4. Improve power quality Load fluctuations can cause power quality issues such as voltage fluctuations and frequency fluctuations. By optimizing load distribution, these fluctuations can be reduced and power output can be stabilized. Load optimization helps improve voltage stability, reduce voltage drops or rises caused by load changes, and improve the quality of power supply; By accurately matching loads and substation power distribution, power losses can be effectively reduced and the overall efficiency of the power system can be improved; S30, obtaining the power loss of the substation, correcting the first optimization data according to the power loss of the substation based on a preset second optimization data calculation formula to obtain second optimization data, and performing carbon reduction optimization according to the second optimization data.

[0024] First, measure the power of the transformer under no-load condition, which is recorded as no-load loss. ; The average value and standard deviation of the total load power consumption are calculated according to the total load power consumption per hour, and the ratio of the average value to the standard deviation is used as the load fluctuation coefficient. The specific calculation formula of the load fluctuation coefficient is as follows:

[0025] In the formula, is the load fluctuation coefficient, is the average value of total load power consumption, is the standard deviation of total load power consumption, is the total load power consumption per hour, It refers to the number of hours within the preset time; It should be noted that the ratio of the average value of total load power consumption to the standard deviation is the load variation coefficient. This ratio measures the volatility of load power consumption. A relatively small value indicates that the load variation is small and the system stability is high; a large value indicates that the load fluctuation is large and the system stability is low. Compare the average value of total load power consumption per hour with the peak value of load power consumption to obtain the load factor; The specific calculation formula of the load factor is as follows:

[0026] In the formula, is the load factor, is the average value of total load power consumption, is the peak power consumption of the load; It should be noted that the load factor is used to measure the stability of the load, reflecting the relationship between the average level of the load in a certain period of time and its maximum possible load; a high load factor indicates that the average level of the load is close to the maximum possible load, the load is relatively stable and the utilization rate is high. A higher load factor usually indicates that the system operates within the load fluctuation range and has a higher efficiency; a low load factor indicates that the actual load average level is far lower than the maximum load, which may mean that the system has excess capacity and the load is more volatile. A low load factor usually indicates that the system's load is not fully utilized or there are significant load changes; The output power is obtained by comparing the power distribution of the substation with the preset time, the input power is obtained by comparing the total load power consumption with the preset time, and the output efficiency is subtracted from the input efficiency to obtain the load loss; the specific calculation formula of the load loss is as follows:

[0027] In the formula, is the load loss, is the power distribution of the substation, is the total load power consumption, It is the preset time; The no-load loss is combined with the load fluctuation coefficient, load factor and load loss according to the preset power loss calculation formula to obtain the power loss of the substation; The specific calculation formula of the power loss of the substation is as follows:

[0028] In the formula, is the power loss of the substation, is the no-load loss, is the load fluctuation coefficient, is the load factor, is the load loss; Among them, optimizing substation power loss has the following detailed effects on substation optimization: 1. Improve energy efficiency Optimizing power loss enables substations to operate more efficiently under different load conditions and reduce energy waste. Accurate loss calculation and improvement measures, such as adjusting load configuration or upgrading equipment, can significantly improve substation energy efficiency; 2. Reduce operating costs Reducing power loss directly reduces power loss, which reduces electricity bills for power companies and end users, thereby reducing operating costs. The long-term savings in electricity bills can be used to invest in other infrastructure or improvement projects; 3. Extend equipment life Reducing power loss can reduce the heat generation and load fluctuation of substation equipment, thereby reducing equipment wear and aging. Fewer temperature fluctuations and a stable working environment help extend the service life of substation equipment and reduce maintenance frequency and replacement costs. 4. Improve power supply reliability Optimizing power loss helps avoid system overload and power quality issues, thereby improving the stability and reliability of power supply. A stable power supply environment reduces the probability of failures and improves the overall reliability of the power grid. 5. Environmental benefits By reducing power losses, electricity consumption is reduced, which in turn reduces the need for electricity production, especially in power plants that rely on burning fossil fuels. Reducing electricity consumption can reduce greenhouse gas emissions, have a positive impact on the environment, and support the goal of sustainable development; 6. Improve overall system performance Reducing losses helps improve the overall system performance of the substation, making it more stable and reliable under various load conditions, including reducing voltage drops, increasing the system's carrying capacity, and optimizing power distribution efficiency; Correcting the first planning data according to the power loss of the substation to obtain the second planning data; The specific calculation formula of the second optimization data is as follows:

[0029] In the formula, is the second optimized data, is the first optimization data, is the power loss of the substation; It should be noted that, compared with the first optimization data, the second optimization data also considers the impact of power loss on substation carbon reduction optimization; by analyzing the relationship between power loss and load data, energy efficiency problems in the system are identified; the second optimization data is used to evaluate the overall energy efficiency of the substation system, and to achieve comprehensive optimization of the substation's operating efficiency and economy; The specific method for performing carbon reduction optimization according to the second optimization data is as follows: The second optimization data is compared with a preset optimization threshold value, and when the second optimization data is less than the preset optimization threshold value, energy-saving optimization of the substation is achieved by reducing the power loss of the substation; When the second optimization data is greater than the preset optimization threshold, there is no need to perform energy-saving optimization on the substation and continue to detect; The functions of comparing the second optimization data with the preset optimization threshold are mainly: Precision maintenance: Through this comparison, timely maintenance can be carried out when equipment performance is below standard to prevent problems from worsening. This early warning mechanism helps prevent equipment failure, thereby reducing downtime and maintenance costs; Resource optimization: Avoid excessive maintenance of normal equipment, save manpower and material resources, and keep the equipment running in the best condition; Improved reliability: Continuous testing can ensure that the equipment remains stable even when it is in normal condition, reducing the possibility of unexpected failures and improving the overall reliability of the power supply system; Data-driven decision-making: This approach relies on actual data to make maintenance decisions, improves the scientific nature and accuracy of maintenance work, and supports data-driven operations management.

[0030] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0031] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0032] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0033] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0034] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0035] Finally: 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, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A carbon reduction optimization method for a substation, characterized in that: The following steps are involved: Obtain the substation power distribution and load power consumption in different areas, and calculate the matching degree between the substation power distribution and load power consumption based on the substation power distribution and total load power consumption; Obtain the load peak-valley difference rate according to the load power consumption in different areas, and calculate the first optimization data by combining the load power consumption with the power distribution of the substation; The power loss of the substation is obtained, the first optimization data is corrected based on the preset second optimization data calculation formula according to the power loss of the substation to obtain the second optimization data, and the substation is optimized for energy saving according to the second optimization data.

2. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific method for obtaining the matching degree between the substation power distribution and the load power consumption is as follows: Obtain the load power consumption of different areas respectively, and add the load power consumption of different areas to obtain the total load power consumption; The calculated total load power consumption is divided by the substation power distribution to obtain the matching degree between the substation power distribution and the load power consumption.

3. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific method for obtaining the load peak-to-valley difference rate is as follows: Obtain the total load power consumption per hour, compare and analyze the total load power consumption per hour, record the maximum value as the load power consumption peak value, record the minimum value as the load power consumption valley value, and calculate the mean and standard deviation of the total load power consumption per hour; The peak-to-valley difference of load power consumption is calculated based on the maximum and minimum values ​​of total load power consumption per hour, and combined with the load mean and standard deviation, the load quantity is recorded to obtain the load peak-to-valley difference rate.

4. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific method for obtaining the power loss of the substation is as follows: Measure the power of the transformer in no-load state and record it as no-load loss; Calculate the average value and standard deviation of total load power consumption, and use the ratio of the average value to the standard deviation as the load fluctuation coefficient; Compare the average value of total load power consumption with the peak value of load power consumption to obtain the load factor; The output power is obtained by comparing the power distribution of the substation with the preset time, the input power is obtained by comparing the total load power consumption with the preset time, and the output efficiency is subtracted from the input efficiency to obtain the load loss; The no-load loss is combined with the load fluctuation coefficient, load factor and load loss according to the preset power loss calculation formula to obtain the power loss of the substation.

5. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific method for performing energy-saving optimization on the substation according to the second optimization data is as follows: The second optimization data is compared with a preset optimization threshold value, and when the second optimization data is less than the preset optimization threshold value, energy-saving optimization of the substation is achieved by reducing the power loss of the substation; When the second optimization data is greater than a preset optimization threshold, there is no need to perform energy-saving optimization on the substation and continue to detect.

6. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific calculation formula for the matching degree between load power consumption and substation power distribution is as follows: In the formula, It is the matching degree between load power consumption and substation power distribution. is the power distribution of the substation, is the total load power consumption; The specific calculation formula for the total load power consumption is as follows: In the formula, is the total load power consumption, is the load power consumption in the residential area, is the load power consumption in the commercial area, It is the load power consumption of the industrial park.

7. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific calculation formula of the load peak-to-valley difference rate is as follows: In the formula, is the load peak-to-valley ratio, is the peak load, is the load valley value, is the load standard deviation, is the load average value, Record the load quantity.

8. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific calculation formula of the first optimization data is as follows: In the formula, is the first optimization data, is the load peak-to-valley ratio, It is the matching degree between load power consumption and substation power distribution, and e is a natural number.

9. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific calculation formula of the power loss of the substation is as follows: In the formula, is the power loss of the substation, is the no-load loss, is the load fluctuation coefficient, is the load factor, is the load loss.

10. A carbon reduction optimization method for a substation according to claim 1, characterized in that: The specific calculation formula of the second optimization data is as follows: In the formula, is the second optimized data, is the first optimization data, is the power loss of the substation.

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