Electric power spot transaction method, system and device for long-distance transmission pipe network and storage medium

Abstract

The invention discloses an electric power spot transaction method, system and device for a long-distance transmission pipe network, and a storage medium, and the method comprises the steps: obtaining the power utilization data of power utilization equipment in an electrical equipment adjustment scheme based on the heat supply network transmission data of the long-distance transmission pipe network, and determining an available adjustment scheme in the adjustment scheme through combining the historical fault data of the power utilization equipment; calculating heat supply reliability coefficients of different time periods based on heat energy transmission parameters and heat supply network loss of the long transmission pipe network in each time period under the available adjustment scheme; based on the heat supply reliability coefficients of different time periods, the adjustment reliability coefficient of each available adjustment scheme is determined, and alternative adjustment schemes in the available adjustment schemes are determined through the adjustment reliability coefficients; determining an electric power spot transaction processing strategy based on the power consumption data of the electrical equipment in the alternative adjustment scheme in different time periods and the transaction electricity prices and the adjustment reliability coefficients in different time periods; and balanced control of heat loss and power consumption cost is realized.

Description

Technical Field

[0001] This invention relates to the technical field of long-distance transmission networks, and in particular to a method, system, equipment, and storage medium for spot trading of electricity in long-distance transmission networks. Background Technology

[0002] To transfer heat energy from heat sources on the outskirts of cities to heat users, more and more regions are building long-distance pipelines to meet the heating needs of heat users. However, in order to ensure the reliability of the transmission of long-distance pipelines, they are often equipped with multiple circulating pumps, water supply pumps, and cooling fans. Since the power consumption of the above-mentioned electrical equipment is large, how to realize power trading and reduce the power cost of electrical equipment has become an urgent technical problem to be solved. Summary of the Invention

[0003] In view of the aforementioned existing problems, this invention is proposed. Therefore, this invention provides a method, system, equipment, and storage medium for electricity spot trading in long-distance transmission networks, addressing the problems mentioned in the background art.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0005] In a first aspect, embodiments of the present invention provide a method for spot trading of electricity in long-distance transmission networks, comprising: obtaining power consumption data of electrical equipment in an electrical equipment regulation scheme based on heat network transmission data of the long-distance transmission network, and determining available regulation schemes in the regulation scheme by combining historical fault data of the electrical equipment;

[0006] Based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss in each time period under the available adjustment scheme, the heating reliability coefficient for different time periods is calculated.

[0007] Based on the heating reliability coefficients for different time periods, the adjustment reliability coefficient of each available adjustment scheme is determined, and the alternative adjustment schemes among the available adjustment schemes are determined using the adjustment reliability coefficients.

[0008] Based on the electricity consumption data of electrical equipment in the alternative regulation schemes at different times, as well as the transaction electricity price and regulation reliability coefficient at different times, the electricity spot trading processing strategy is determined.

[0009] As a preferred embodiment of the electricity spot trading method for long-distance transmission networks described in this invention, the heat network transmission data of the long-distance transmission network is determined based on the predicted heat load of the long-distance transmission network on the current date; the adjustment scheme is divided according to the start-up time of each electrical device and the operating power corresponding to the start-up time.

[0010] As a preferred embodiment of the electricity spot trading method for long-distance transmission networks described in this invention, the available adjustment schemes in the adjustment schemes include:

[0011] The number of historical failures of electrical equipment is determined based on its historical failure data. If the number of historical failures of electrical equipment does not meet the requirements, the equipment is judged to be a faulty or defective device. If the number of historical failures of electrical equipment meets the requirements, the equipment is judged to be a non-faulty or defective device.

[0012] When there are no faulty or defective devices in the electrical equipment, all adjustment schemes are usable adjustment schemes;

[0013] When there are faulty or defective devices among the electrical equipment, if the proportion of faulty or defective devices in the adjustment scheme does not meet the requirements, then the adjustment scheme is determined not to be an available adjustment scheme; if the proportion of faulty or defective devices in the adjustment scheme meets the requirements, then the available adjustment scheme is determined based on the sum of the proportions of the usage time of the faulty or defective devices among the electrical equipment in the adjustment scheme.

[0014] If the sum of the usage time percentages does not meet the requirements, the adjustment scheme is determined to be an unavailable adjustment scheme; if the sum of the usage time percentages meets the requirements, and there is no adjustment deviation period in the current period, the adjustment scheme is determined to be an available adjustment scheme.

[0015] If there are adjustment deviation periods in the current time period, and the proportion of adjustment deviation periods does not meet the requirements, then the adjustment scheme is determined to be an available adjustment scheme.

[0016] If the proportion of the adjustment deviation period meets the requirements, but the adjustment deviation value of the adjustment scheme does not meet the requirements, then the adjustment scheme is determined not to be an available adjustment scheme.

[0017] As a preferred embodiment of the electricity spot trading method for long-distance pipeline networks described in this invention, the calculation of the heating reliability coefficient for different time periods includes:

[0018] The similar heating periods of the time period are determined based on the heat energy transmission parameters of the long-distance pipeline network in the time period. The heating deviation coefficient of the time period is determined based on the proportion of users with heat consumption deviation in different similar heating periods. The loss anomaly coefficient of the time period is determined based on the preset loss anomaly coefficient corresponding to the heat network loss of the long-distance pipeline network in the time period.

[0019] The heating reliability coefficient for the specified time period is the difference between a preset value and the product of the loss anomaly coefficient and the heating deviation coefficient for that time period.

[0020] As a preferred embodiment of the electricity spot trading method for long-distance pipeline networks described in this invention, determining the regulation reliability coefficient of each available regulation scheme includes: determining the regulation reliability deviation period in the time period using the regulation reliability coefficients of different time periods;

[0021] The basic reliability coefficient is determined based on the proportion of the number of adjustment reliability deviation periods, and the distribution clustering coefficient of adjustment reliability deviation periods is determined based on the number of interval periods between different adjustment reliability deviation periods.

[0022] The adjustment reliability coefficient of the available adjustment scheme is determined based on the ratio of the basic reliability coefficient to the distribution clustering coefficient.

[0023] The beneficial effects of this preferred technical solution are that, based on the power consumption data of different electrical devices in different adjustment schemes and the historical fault data of the electrical devices, the present invention determines the available adjustment schemes in different adjustment schemes, thereby realizing the determination of the available adjustment schemes with higher adjustment reliability from the perspective of the historical fault situation of the electrical devices. This avoids the technical problem that the adjustment reliability of the heating network is difficult to meet the requirements due to the failure of the electrical devices, and ensures the reliability of the heating treatment.

[0024] As a preferred embodiment of the electricity spot trading method for long-distance pipeline networks described in this invention, the method for determining alternative regulation schemes among the available regulation schemes using the regulation reliability coefficient includes:

[0025] If the average value of the adjustment reliability coefficient in different time periods does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the average value of the adjustment reliability coefficient in different time periods meets the requirements, and there is no adjustment reliability deviation period in the time period, then the available adjustment scheme is determined to be a candidate adjustment scheme, and the adjustment reliability coefficient of the available adjustment scheme is determined by using the average value of the adjustment reliability coefficient in different time periods.

[0026] When there is a period of adjustment reliability deviation in the time period, if the minimum value of the adjustment reliability coefficient of the adjustment reliability deviation period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the minimum value of the adjustment reliability coefficient of the adjustment reliability deviation period meets the requirements, and the proportion of the number of adjustment reliability deviation periods in the time period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme.

[0027] When the proportion of the number of adjustment reliability deviation periods in the time period meets the requirements, if the maximum duration of the continuous deviation period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the maximum duration of the continuous deviation period meets the requirements, then the basic reliability coefficient is determined according to the proportion of the number of adjustment reliability deviation periods, and the distribution clustering coefficient of the adjustment reliability deviation periods is determined according to the number of interval periods between different adjustment reliability deviation periods; based on the ratio of the basic reliability coefficient to the distribution clustering coefficient, the adjustment reliability coefficient of the available adjustment scheme is determined.

[0028] As a preferred embodiment of the electricity spot trading method for long-distance transmission networks described in this invention, determining the electricity spot trading processing strategy includes:

[0029] Based on the electricity consumption data of electrical equipment and the transaction price of electricity in different time periods, the electricity cost of different alternative regulation schemes is determined. If the electricity cost of the alternative regulation scheme does not meet the requirements, it is determined that the alternative regulation scheme is not the optimal regulation scheme. If the electricity cost of the alternative regulation scheme meets the requirements, the scheme matching coefficient of different alternative regulation schemes is determined based on the ratio of the regulation reliability coefficient to the electricity cost.

[0030] When the matching coefficient of the alternative adjustment scheme is the largest, the scheme is determined as the optimal adjustment scheme, and the strategy for the electricity spot trading is determined with the goal of minimizing the electricity cost of the optimal adjustment scheme.

[0031] The beneficial effects of this preferred technical solution are that, based on the electricity consumption data, transaction price, and regulation reliability coefficient of electrical equipment in different time periods under different alternative regulation schemes, the strategy for handling electricity spot transactions is determined. This not only takes into account the differences in regulation reliability caused by the differences in heat loss among different alternative regulation schemes, but also further combines the electricity consumption data and transaction price of electrical equipment to ensure the electricity economy of the alternative regulation schemes and achieve a balanced control of electricity economy and heat loss.

[0032] Secondly, the present invention provides a power spot trading system for long-distance transmission networks, comprising:

[0033] The available regulation scheme determination module is used to obtain the power consumption data of electrical equipment in the regulation scheme based on the heat network transmission data of the long-distance pipeline network, and determine the available regulation scheme in the regulation scheme by combining the historical fault data of the electrical equipment.

[0034] The calculation module is used to calculate the heating reliability coefficient for different time periods based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss under the available adjustment scheme.

[0035] The alternative adjustment scheme determination module is used to determine the adjustment reliability coefficient of each available adjustment scheme based on the heating reliability coefficient of different time periods, and to determine the alternative adjustment schemes among the available adjustment schemes using the adjustment reliability coefficients;

[0036] The electricity spot trading processing strategy determination module is used to determine the electricity spot trading processing strategy based on the electricity consumption data of electrical equipment in the alternative regulation schemes at different times, as well as the transaction electricity price and regulation reliability coefficient at different times.

[0037] Thirdly, the present invention provides an electronic device, comprising:

[0038] Memory and processor;

[0039] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the electricity spot trading method for long-distance transmission networks.

[0040] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the power spot trading method for long-distance transmission networks.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention determines the available adjustment schemes among different adjustment schemes based on the power consumption data of different electrical equipment and the historical fault data of the electrical equipment in different adjustment schemes. It realizes the determination of the available adjustment schemes with higher adjustment reliability from the perspective of the historical fault situation of electrical equipment, avoids the technical problem that the adjustment reliability of the heating network is difficult to meet the requirements due to the failure of electrical equipment, and ensures the reliability of heating treatment.

[0042] By using the electricity consumption data, transaction price, and regulation reliability coefficient of electrical equipment in different time periods under different alternative regulation schemes, the strategy for handling electricity spot transactions is determined. This not only takes into account the differences in regulation reliability caused by the differences in heat loss among different alternative regulation schemes, but also further combines the electricity consumption data and transaction price of electrical equipment to ensure the electricity economy of the alternative regulation schemes and achieve a balance between electricity economy and heat loss control. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0044] Figure 1 This is a flowchart illustrating a method for spot electricity trading in a long-distance pipeline network according to an embodiment of the present invention.

[0045] Figure 2 This is a flowchart illustrating a method for determining available adjustment schemes in a power spot trading method for long-distance pipeline networks, according to an embodiment of the present invention.

[0046] Figure 3 This is a flowchart illustrating a method for determining the power spot trading processing strategy in a power spot trading method for long-distance transmission networks, as described in one embodiment of the present invention. Detailed Implementation

[0047] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0048] Example 1, referring to Figures 1-3 This is one embodiment of the present invention, which provides a method for electricity spot trading in long-distance transmission networks, referring to... Figure 1 ,include:

[0049] S100: Based on the heat network transmission data of the long-distance pipeline, obtain the power consumption data of the electrical equipment in the electrical equipment regulation scheme, and determine the available regulation schemes in the regulation scheme by combining the historical fault data of the electrical equipment;

[0050] S200: Based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss in each time period under the available adjustment scheme, calculate the heating reliability coefficient for different time periods;

[0051] S300: Based on the heating reliability coefficients for different time periods, determine the regulation reliability coefficient of each available regulation scheme, and use the regulation reliability coefficients to determine the alternative regulation schemes among the available regulation schemes;

[0052] S400: Based on the electricity consumption data of electrical equipment in the alternative regulation scheme at different times, as well as the transaction price and regulation reliability coefficient at different times, determine the electricity spot trading processing strategy.

[0053] It should be noted that, based on the power consumption data of different electrical equipment in different adjustment schemes and the historical fault data of the electrical equipment, the available adjustment schemes in different adjustment schemes are determined. This realizes the determination of the available adjustment schemes with higher adjustment reliability from the perspective of the historical fault situation of the electrical equipment. This avoids the technical problem that the adjustment reliability of the heating network cannot meet the requirements due to the failure of electrical equipment, and ensures the reliability of heating treatment.

[0054] By using the electricity consumption data, transaction price, and regulation reliability coefficient of electrical equipment in different time periods under different alternative regulation schemes, the strategy for handling electricity spot transactions is determined. This not only takes into account the differences in regulation reliability caused by the differences in heat loss among different alternative regulation schemes, but also further combines the electricity consumption data and transaction price of electrical equipment to ensure the electricity economy of the alternative regulation schemes and achieve a balance between electricity economy and heat loss control.

[0055] In this embodiment of the application, the heat network transmission data of the long-distance pipeline in step S100 is determined based on the predicted heat load of the long-distance pipeline on the current date; the adjustment scheme is divided according to the start-up time of each electrical device and the operating power corresponding to the start-up time.

[0056] Furthermore, the historical fault data of electrical equipment includes the number of historical faults of the electrical equipment and the duration of different historical faults.

[0057] Reference Figure 2 In this embodiment of the application, determining the available adjustment schemes in the adjustment schemes in step S100 includes:

[0058] S101: Based on the historical fault data of different electrical equipment, determine the number of historical faults of different electrical equipment, and determine the faulty or defective equipment of the electrical equipment according to the number of historical faults.

[0059] S102: Based on the power consumption data of different electrical equipment in the adjustment scheme, determine the usage data of different electrical equipment in different time periods, determine the electrical equipment in different time periods based on the usage data, and determine the adjustment deviation period based on the proportion of faulty or defective equipment in different time periods.

[0060] S103: Determine the available adjustment schemes in the adjustment scheme by adjusting the proportion of the deviation period.

[0061] In this embodiment of the application, the step S100 of determining the available adjustment schemes in the adjustment schemes specifically includes:

[0062] The number of historical failures of electrical equipment is determined based on its historical failure data. If the number of historical failures of electrical equipment does not meet the requirements, the equipment is judged to be a faulty or defective device. If the number of historical failures of electrical equipment meets the requirements, the equipment is judged to be a non-faulty or defective device.

[0063] When there are no faulty or defective devices in the electrical equipment, all adjustment schemes are usable adjustment schemes;

[0064] When there are faulty or defective devices among the electrical equipment, if the proportion of faulty or defective devices in the adjustment plan does not meet the requirements, the adjustment plan is determined not to be an available adjustment plan; if the proportion of faulty or defective devices in the adjustment plan meets the requirements, the available adjustment plan is determined based on the sum of the proportions of the usage time of the faulty or defective devices among the electrical equipment in the adjustment plan.

[0065] If the sum of the usage time percentages does not meet the requirements, the adjustment plan is determined to be an unavailable adjustment plan; if the sum of the usage time percentages meets the requirements, and there are no adjustment deviation periods in the current period, the adjustment plan is determined to be an available adjustment plan.

[0066] If there are periods of adjustment deviation in the current time period, and the proportion of periods of adjustment deviation does not meet the requirements, then the adjustment scheme is determined to be a usable adjustment scheme.

[0067] If the proportion of adjustment deviation periods meets the requirements, but the adjustment deviation value of the adjustment scheme does not meet the requirements, then the adjustment scheme is determined not to be an available adjustment scheme.

[0068] In an optional embodiment, based on the power consumption data of different electrical devices in the adjustment scheme, the usage data of different electrical devices in different time periods are determined. Based on the usage data, the electrical devices in different time periods are determined. Based on the proportion of faulty or defective devices in different time periods, the adjustment deviation period in the time period is determined. The adjustment deviation period is the period when the proportion of faulty or defective devices in the electrical devices is greater than the preset proportion of devices.

[0069] In another alternative embodiment, the adjustment deviation value is determined based on the proportion of adjustment deviation periods and the proportion of faulty or defective electrical equipment in different adjustment deviation periods.

[0070] It should be noted that the available adjustment scheme is one where the proportion of adjustment deviation periods is less than the proportion of preset periods.

[0071] It should be noted that, in the embodiments of this application, the preset proportion of the number of devices and the preset proportion of the number of time periods can be set according to specific needs.

[0072] In this embodiment of the application, the calculation of the heating reliability coefficient for different time periods in step S200 includes:

[0073] The similar heating periods are determined by the heat energy transmission parameters of the long-distance pipeline network in the time period. The heating deviation coefficient of the time period is determined based on the proportion of users with heat consumption deviation in different similar heating periods. The loss anomaly coefficient of the time period is determined according to the preset loss anomaly coefficient corresponding to the heat network loss of the long-distance pipeline network in the time period.

[0074] The heating reliability coefficient for a given period is the difference between the preset value and the product of the period's loss anomaly coefficient and heating deviation coefficient.

[0075] Specifically, the heat transmission parameters of long-distance pipelines include the heat supply flow rate, heat supply pressure, and heat supply temperature.

[0076] It should be noted that the heating reliability coefficient for a given period ranges from 0 to 1. The higher the heating reliability coefficient for a given period, the higher the reliability of the heating during that period.

[0077] In this embodiment of the application, determining the regulation reliability coefficient of each available regulation scheme in step S300 includes: determining the regulation reliability deviation period in the time period using the regulation reliability coefficients of different time periods;

[0078] The basic reliability coefficient is determined based on the proportion of the number of adjustment reliability deviation periods, and the distribution clustering coefficient of adjustment reliability deviation periods is determined based on the number of interval periods between different adjustment reliability deviation periods.

[0079] The adjustment reliability coefficient of the available adjustment scheme is determined based on the ratio of the basic reliability coefficient to the distribution clustering coefficient.

[0080] In this embodiment of the application, step S300, which uses the adjustment reliability coefficient to determine the alternative adjustment schemes among the available adjustment schemes, includes:

[0081] If the average value of the adjustment reliability coefficient in different time periods does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the average value of the adjustment reliability coefficient in different time periods meets the requirements, and there are no time periods with adjustment reliability deviation, then the available adjustment scheme is determined to be a candidate adjustment scheme, and the adjustment reliability coefficient of the available adjustment scheme is determined by using the average value of the adjustment reliability coefficient in different time periods.

[0082] If there is a period of adjustment reliability deviation in the time period, and the minimum value of the adjustment reliability coefficient of the adjustment reliability deviation period does not meet the requirements, then the available adjustment scheme is determined not to be an alternative adjustment scheme.

[0083] If the minimum value of the adjustment reliability coefficient during the adjustment reliability deviation period meets the requirements, and the proportion of adjustment reliability deviation periods in the period does not meet the requirements, then the available adjustment scheme is determined not to be an alternative adjustment scheme.

[0084] If the proportion of reliable deviation periods in the time period meets the requirements, and the maximum duration of consecutive deviation periods does not meet the requirements, then the available control scheme is determined not to be a candidate control scheme. If the maximum duration of consecutive deviation periods meets the requirements, then the basic reliability coefficient is determined based on the proportion of reliable deviation periods, and the distribution clustering coefficient of reliable deviation periods is determined based on the number of interval periods between different reliable deviation periods. Based on the ratio of the basic reliability coefficient to the distribution clustering coefficient, the control reliability coefficient of the available control scheme is determined.

[0085] It should be noted that the continuous deviation period can be determined by the number of intervals between different reliable deviation periods; a further technical solution is that the continuous deviation period is a continuous period constructed by the number of intervals between different adjacent reliable deviation periods all within a preset interval range. The interval range can be set according to specific needs, and is typically a relatively small range, such as 2 to 3 intervals.

[0086] Reference Figure 3 In this embodiment of the application, the step S400 of determining the electricity spot trading processing strategy includes:

[0087] S401: Based on the electricity consumption data of electrical equipment in different time periods, and in combination with the transaction electricity price in different time periods, determine the electricity cost of different alternative regulation schemes;

[0088] S402: Based on the ratio of the regulation reliability coefficient to the electricity cost, determine the matching coefficient of different alternative regulation schemes;

[0089] S403: Determine the optimal regulation scheme among the alternative regulation schemes based on the scheme matching coefficient, and determine the strategy for handling electricity spot trading with the goal of minimizing the electricity cost of the optimal regulation scheme.

[0090] In this embodiment of the application, the step S400 of determining the electricity spot trading processing strategy specifically includes:

[0091] Based on the electricity consumption data of electrical equipment and the transaction price of electricity in different time periods, the electricity cost of different alternative regulation schemes is determined. If the electricity cost of the alternative regulation scheme does not meet the requirements, it is determined that the alternative regulation scheme is not the optimal regulation scheme. If the electricity cost of the alternative regulation scheme meets the requirements, the scheme matching coefficient of different alternative regulation schemes is determined based on the ratio of the regulation reliability coefficient to the electricity cost.

[0092] When the matching coefficient of the alternative regulation scheme is the largest, the scheme is determined as the optimal regulation scheme, and the strategy for handling electricity spot trading is determined with the goal of minimizing the electricity cost of the optimal regulation scheme.

[0093] It should be noted that the requirements for the above-mentioned electricity spot trading method for long-distance pipelines are set through specific thresholds. In actual operation, these thresholds can be set according to user needs or determined based on experimental methods.

[0094] Example 2: The above example is an illustrative scheme for a power spot trading method for long-distance transmission networks. It should be noted that the technical solution of this power spot trading system for long-distance transmission networks belongs to the same concept as the technical solution of the power spot trading method for long-distance transmission networks described above. Details not described in detail in the technical solution of the power spot trading system for long-distance transmission networks in this example can be found in the description of the technical solution of the power spot trading method for long-distance transmission networks described above.

[0095] This embodiment describes a power spot trading system for long-distance transmission networks, comprising:

[0096] The available regulation scheme determination module is used to obtain the power consumption data of electrical equipment in the regulation scheme based on the heat network transmission data of the long-distance pipeline network, and determine the available regulation scheme in the regulation scheme by combining the historical fault data of the electrical equipment.

[0097] The calculation module is used to calculate the heating reliability coefficient for different time periods based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss under the available adjustment schemes.

[0098] The alternative regulation scheme determination module is used to determine the regulation reliability coefficient of each available regulation scheme based on the heating reliability coefficient of different time periods, and to determine the alternative regulation schemes among the available regulation schemes using the regulation reliability coefficients.

[0099] The electricity spot trading processing strategy determination module is used to determine the electricity spot trading processing strategy based on the electricity consumption data of electrical equipment in the alternative regulation scheme at different times, as well as the transaction electricity price and regulation reliability coefficient at different times.

[0100] This embodiment also provides an electronic device applicable to power spot trading methods used in long-distance pipeline networks, including:

[0101] The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement the electricity spot trading method for long-distance transmission networks as proposed in the above embodiments.

[0102] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the electricity spot trading method for long-distance transmission networks as proposed in the above embodiments.

[0103] The storage medium proposed in this embodiment and the method for implementing electricity spot trading in long-distance pipeline networks proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0104] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0105] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for spot electricity trading in long-distance pipeline networks, characterized in that, include: Based on the heat network transmission data of the long-distance pipeline, obtain the power consumption data of the electrical equipment in the electrical equipment regulation scheme, and determine the available regulation schemes in the regulation scheme by combining the historical fault data of the electrical equipment. Based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss in each time period under the available adjustment scheme, the heating reliability coefficient for different time periods is calculated. Based on the heating reliability coefficients for different time periods, the adjustment reliability coefficient of each available adjustment scheme is determined, and the alternative adjustment schemes among the available adjustment schemes are determined using the adjustment reliability coefficients. Based on the electricity consumption data of electrical equipment in the alternative regulation schemes at different times, as well as the transaction electricity price and regulation reliability coefficient at different times, the electricity spot trading processing strategy is determined.

2. The method for spot electricity trading in long-distance transmission networks as described in claim 1, characterized in that: The heat transmission data of the long-distance pipeline network is determined based on the predicted heat load of the long-distance pipeline network on the current date; the adjustment scheme is divided according to the start-up time of each electrical device and the corresponding operating power during the start-up time.

3. The method for electricity spot trading in long-distance pipeline networks as described in claim 2, characterized in that, The available adjustment schemes identified in the adjustment scheme include: The number of historical failures of electrical equipment is determined based on its historical failure data. If the number of historical failures of electrical equipment does not meet the requirements, the equipment is judged to be a faulty or defective device. If the number of historical failures of electrical equipment meets the requirements, the equipment is judged to be a non-faulty or defective device. When there are no faulty or defective devices in the electrical equipment, all adjustment schemes are usable adjustment schemes; When there are faulty or defective devices among the electrical equipment, if the proportion of faulty or defective devices in the adjustment scheme does not meet the requirements, then the adjustment scheme is determined not to be an available adjustment scheme; if the proportion of faulty or defective devices in the adjustment scheme meets the requirements, then the available adjustment scheme is determined based on the sum of the proportions of the usage time of the faulty or defective devices among the electrical equipment in the adjustment scheme. If the sum of the usage time percentages does not meet the requirements, the adjustment scheme is determined to be an unavailable adjustment scheme; if the sum of the usage time percentages meets the requirements, and there is no adjustment deviation period in the current period, the adjustment scheme is determined to be an available adjustment scheme. If there are adjustment deviation periods in the current time period, and the proportion of adjustment deviation periods does not meet the requirements, then the adjustment scheme is determined to be an available adjustment scheme. If the proportion of the adjustment deviation period meets the requirements, but the adjustment deviation value of the adjustment scheme does not meet the requirements, then the adjustment scheme is determined not to be an available adjustment scheme.

4. The method for spot electricity trading in long-distance pipeline networks as described in claim 3, characterized in that, Calculating the heating reliability coefficient for different time periods includes: The similar heating periods of the time period are determined based on the heat energy transmission parameters of the long-distance pipeline network in the time period. The heating deviation coefficient of the time period is determined based on the proportion of users with heat consumption deviation in different similar heating periods. The loss anomaly coefficient of the time period is determined based on the preset loss anomaly coefficient corresponding to the heat network loss of the long-distance pipeline network in the time period. The heating reliability coefficient for the specified time period is the difference between a preset value and the product of the loss anomaly coefficient and the heating deviation coefficient for that time period.

5. The method for spot electricity trading in long-distance pipeline networks as described in claim 4, characterized in that, Determining the regulation reliability coefficient for each available regulation scheme includes: determining the regulation reliability deviation period within the time period using the regulation reliability coefficients for different time periods; The basic reliability coefficient is determined based on the proportion of the number of adjustment reliability deviation periods, and the distribution clustering coefficient of adjustment reliability deviation periods is determined based on the number of interval periods between different adjustment reliability deviation periods. The adjustment reliability coefficient of the available adjustment scheme is determined based on the ratio of the basic reliability coefficient to the distribution clustering coefficient.

6. The method for spot electricity trading in long-distance pipeline networks as described in claim 5, characterized in that, Determining alternative control schemes among the available control schemes using the control reliability coefficient includes: If the average value of the adjustment reliability coefficient in different time periods does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the average value of the adjustment reliability coefficient in different time periods meets the requirements, and there is no adjustment reliability deviation period in the time period, then the available adjustment scheme is determined to be a candidate adjustment scheme, and the adjustment reliability coefficient of the available adjustment scheme is determined by using the average value of the adjustment reliability coefficient in different time periods. When there is a period of adjustment reliability deviation in the time period, if the minimum value of the adjustment reliability coefficient of the adjustment reliability deviation period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the minimum value of the adjustment reliability coefficient of the adjustment reliability deviation period meets the requirements, and the proportion of the number of adjustment reliability deviation periods in the time period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme. When the proportion of the number of adjustment reliability deviation periods in the time period meets the requirements, if the maximum duration of the continuous deviation period does not meet the requirements, then the available adjustment scheme is determined not to be a candidate adjustment scheme; if the maximum duration of the continuous deviation period meets the requirements, then the basic reliability coefficient is determined according to the proportion of the number of adjustment reliability deviation periods, and the distribution clustering coefficient of the adjustment reliability deviation periods is determined according to the number of interval periods between different adjustment reliability deviation periods; based on the ratio of the basic reliability coefficient to the distribution clustering coefficient, the adjustment reliability coefficient of the available adjustment scheme is determined.

7. The method for electricity spot trading in long-distance pipeline networks as described in claim 6, characterized in that, Determining the electricity spot trading processing strategy includes: Based on the electricity consumption data of electrical equipment and the transaction price of electricity in different time periods, the electricity cost of different alternative regulation schemes is determined. If the electricity cost of the alternative regulation scheme does not meet the requirements, it is determined that the alternative regulation scheme is not the optimal regulation scheme. If the electricity cost of the alternative regulation scheme meets the requirements, the scheme matching coefficient of different alternative regulation schemes is determined based on the ratio of the regulation reliability coefficient to the electricity cost. When the matching coefficient of the alternative adjustment scheme is the largest, the scheme is determined as the optimal adjustment scheme, and the strategy for the electricity spot trading is determined with the goal of minimizing the electricity cost of the optimal adjustment scheme.

8. A power spot trading system for long-distance transmission networks, applied to the method described in any one of claims 1-7, characterized in that, include: The available regulation scheme determination module is used to obtain the power consumption data of electrical equipment in the regulation scheme based on the heat network transmission data of the long-distance pipeline network, and determine the available regulation scheme in the regulation scheme by combining the historical fault data of the electrical equipment. The calculation module is used to calculate the heating reliability coefficient for different time periods based on the heat energy transmission parameters of the long-distance pipeline network and its heat network loss under the available adjustment scheme. The alternative adjustment scheme determination module is used to determine the adjustment reliability coefficient of each available adjustment scheme based on the heating reliability coefficient of different time periods, and to determine the alternative adjustment schemes among the available adjustment schemes using the adjustment reliability coefficients; The electricity spot trading processing strategy determination module is used to determine the electricity spot trading processing strategy based on the electricity consumption data of electrical equipment in the alternative regulation schemes at different times, as well as the transaction electricity price and regulation reliability coefficient at different times.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the electricity spot trading method for long-distance transmission networks as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the electricity spot trading method for long-distance transmission networks as described in any one of claims 1 to 7.

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