Optimized operation method and device for main network and distribution network of distributed power supply

Abstract

The invention relates to a main and distribution network optimization operation method and device for a distributed power supply. The method comprises the following steps: acquiring historical power transmission data and shortest energy transmission path information of each distributed power supply in a main distribution network, and determining power transmission loss information of each distributed power supply; constructing an optimal power transmission data set of each distributed power supply based on the power transmission loss information of each distributed power supply; according to the power utilization demand information of each power utilization end, the active power output of each distributed power supply and the predicted power utilization demand of each power utilization end, determining that the user end needing power transmission is a power receiving end and the distributed power supply with surplus active power output is a power transmission end; and for the plurality of power receiving ends and the plurality of power transmission ends, performing power transmission path optimization by adopting the optimal power transmission data set of each distributed power supply to obtain a power transmission optimization scheme of the main distribution network. By adopting the method, the management optimization of the resource transportation path and the ordered transfer of the distributed energy can be realized, and the transportation loss is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of power grid management, and in particular, to an optimal operation method, device, computer device, computer-readable storage medium, and computer program product for a main and distribution network of distributed power sources. Background Art

[0002] By distributing various forms of new energy, such as solar energy, wind energy, biomass energy, fuel cells, etc., on the equipment at the power consumption end or the load side, a micro power station or a distributed power generation system can be formed, enabling small and dispersed electric power energy to achieve distributed production and distributed supply of electric power by accessing the distribution network.

[0003] Currently, as an important form of new energy power generation, the scale of distributed power sources connected to the power grid is gradually expanding. In response to the phenomenon of irregular changes in the load demands of each power consumption end in the distribution network, a large number of distributed power sources need to be used to smoothly adapt to the load demands of the power consumption end. However, distributed power sources are arranged in a decentralized manner near the power consumption end, directly supplying and generating power to the power consumption end, with the characteristic of near-power output. If the energy of distributed power sources at the power consumption end with excessive demand is blindly transmitted to the power consumption end with insufficient demand, the transmission loss during the energy transportation process will increase, reducing the economic benefits.

[0004] Therefore, there is a problem of poor power resource transportation efficiency in the traditional technology. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide an optimal operation method, device, computer device, computer-readable storage medium, and computer program product for a main and distribution network of distributed power sources that can optimize energy transportation.

[0006] In a first aspect, the present application provides an optimal operation method for a main and distribution network of distributed power sources, and the method includes:

[0007] Obtain the historical power transmission data and the shortest energy transmission path information of each distributed power source in the main and distribution network, and determine the power transmission loss information of each distributed power source; the power transmission loss information is used to characterize the power transmission loss rate of the shortest energy transmission path between each distributed power source and multiple adjacent power consumption ends in the main and distribution network;

[0008] Based on the power transmission loss information of each distributed power source, construct an optimal power transmission data set for each distributed power source; the optimal power transmission data set includes the optimal power transmission path and its path power transmission loss rate between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends;

[0009] Based on the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, determine that the user end that needs to transmit power is the power receiving end, and the distributed power source with surplus active power output is the power transmitting end; the predicted power consumption demand is obtained by the trained power consumption prediction model based on temperature data.

[0010] For multiple power receiving ends and multiple power transmitting ends, use the optimal power transmission data set of each distributed power source to optimize the power transmission path, and obtain the power transmission optimization plan for the main distribution network.

[0011] In one embodiment, the obtaining of the historical power transmission data and the shortest passable transmission path information of each distributed power source in the main distribution network, and determining the power transmission loss information of each distributed power source includes:

[0012] Collect the historical power transmission data of each distributed power source recorded by the load information monitoring terminal; the historical power transmission data includes the power transmission power loss and the power transmission line current in the transmission path of each distributed power source.

[0013] Based on the shortest passable transmission path information of each distributed power source, use the power transmission power loss and the power transmission line current in the historical power transmission data to calculate the power transmission loss rate of the shortest passable transmission path between each distributed power source and the multiple adjacent power consumption ends, and use it as the power transmission loss information of each distributed power source.

[0014] In one embodiment, the constructing of the optimal power transmission data set of each distributed power source based on the power transmission loss information of each distributed power source includes:

[0015] Use the power transmission loss rate of the shortest passable transmission path between each distributed power source and the multiple adjacent power consumption ends as the edge weight value, and use each distributed power source as a node to draw the simulated power transmission diagram of the main distribution network.

[0016] Based on the simulated power transmission diagram of the main distribution network, perform data calculation through the algorithm for solving the single-source shortest path problem, and construct the optimal power transmission data set of each distributed power source.

[0017] In one embodiment, the determining that the user end that needs to transmit power is the power receiving end, and the distributed power source with surplus active power output is the power transmitting end according to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end includes:

[0018] According to the power consumption demand information of each of the power consumption ends and the active power output of each of the distributed power sources, a plurality of the power consumption ends are divided into power consumption ends with surplus power consumption and power consumption ends that require power transmission, and the power consumption ends that require power transmission are used as the power receiving ends;

[0019] Based on the predicted power consumption demands of each of the power consumption ends with surplus power consumption, the power transmission capabilities of each of the power consumption ends with surplus power consumption are evaluated, and power transmission power consumption ends are selected;

[0020] From among a plurality of distributed power sources around each of the power transmission power consumption ends, distributed power sources with surplus active power output are determined as the power transmission ends.

[0021] In one embodiment, the determining, from among a plurality of distributed power sources around each of the power transmission power consumption ends, distributed power sources with surplus active power output includes:

[0022] For a plurality of distributed power sources around each of the power transmission power consumption ends, according to the power transmission loss rate of the shortest energy-transmissible transmission path of each of the distributed power sources, the active power output of each of the distributed power sources is determined;

[0023] Based on the active power output of each of the distributed power sources, the distributed power sources with surplus active power output are selected.

[0024] In one embodiment, the power transmission optimization scheme is used to indicate the power transmission ends for respectively performing power transmission to each of the power receiving ends. For a plurality of the power receiving ends and a plurality of the power transmission ends, an optimal power transmission data set of each of the distributed power sources is used to optimize the power transmission path, and the power transmission optimization scheme of the main distribution network is obtained, including:

[0025] In the order from large to small according to the power consumption demand, each of the power receiving ends is sequentially used as the target power receiving end;

[0026] According to the optimal power transmission data set of the distributed power sources corresponding to each of the power transmission ends, the power transmission loss rate from each of the power transmission ends to the target power receiving end during the power transmission process is calculated, and a plurality of the power transmission ends are sorted according to the power transmission loss rate;

[0027] From among the sorted plurality of the power transmission ends, a target power transmission end for performing power transmission to the target power receiving end is determined.

[0028] In a second aspect, the present application further provides a main distribution network optimization operation device for a distributed power source, and the device includes:

[0029] A transmission loss information acquisition module, configured to acquire historical transmission data and shortest available transmission path information of each distributed power source in the main and distribution networks, and determine the transmission loss information of each distributed power source; the transmission loss information is used to characterize the transmission loss rate of the shortest available transmission path between each distributed power source and multiple adjacent power consumption ends in the main and distribution networks.

[0030] An optimal transmission data set construction module, configured to construct an optimal transmission data set for each distributed power source based on the transmission loss information of each distributed power source; the optimal transmission data set includes the optimal transmission path and its path transmission loss rate between the corresponding distributed power source and power consumption ends other than the multiple adjacent power consumption ends.

[0031] A power receiving end and power transmitting end determination module, configured to determine, according to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, that the user end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmitting end; the predicted power consumption demand is predicted by a trained power consumption prediction model based on temperature data.

[0032] A transmission optimization scheme obtaining module, configured to optimize the transmission path for multiple power receiving ends and multiple power transmitting ends by using the optimal transmission data set of each distributed power source, so as to obtain a transmission optimization scheme for the main and distribution networks.

[0033] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0036] The above-mentioned main distribution network optimal operation method, device, computer equipment, computer-readable storage medium and computer program product of distributed power sources determine the transmission loss information of each distributed power source by obtaining the historical power transmission data and the shortest passable transmission path information of each distributed power source in the main distribution network. The transmission loss information is used to characterize the transmission loss rate of the shortest passable transmission path between each distributed power source and multiple adjacent power consumption ends in the main distribution network. Then, based on the transmission loss information of each distributed power source, an optimal power transmission data set of each distributed power source is constructed. The optimal power transmission data set includes the optimal power transmission path and its path transmission loss rate between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends. According to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, the user end that needs power transmission is determined as the power receiving end, and the distributed power source with surplus active power output is determined as the power transmission end. The predicted power consumption demand is obtained by the trained power consumption prediction model based on temperature data. Furthermore, for multiple power receiving ends and multiple power transmission ends, the optimal power transmission data set of each distributed power source is used to optimize the power transmission path, and a power transmission optimization plan for the main distribution network is obtained, realizing the management optimization of the resource transportation path and the orderly mobilization of distributed energy, effectively reducing the transportation loss and improving the power resource transportation benefit. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required to be used in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1 It is a schematic flowchart of a main distribution network optimal operation method of a distributed power source in one embodiment;

[0039] Figure 2 It is a schematic diagram of the operation process of the main distribution network optimal system of a distributed power source in one embodiment;

[0040] Figure 3 It is a schematic diagram of the main distribution network optimal operation process of a distributed power source in one embodiment;

[0041] Figure 4 It is a schematic flowchart of a main distribution network optimal operation method of a distributed power source in another embodiment;

[0042] Figure 5 It is a structural block diagram of a main distribution network optimal operation device of a distributed power source in one embodiment;

[0043] Figure 6Internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0044] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] In an exemplary embodiment, as Figure 1 shown, a method for optimizing the operation of the main and distribution networks of distributed power sources is provided. In this embodiment, this method is exemplified by being applied to a terminal. It can be understood that this method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps 101 to 104. Among them:

[0046] Step 101, obtain the historical power transmission data and the shortest energy-transmissible path information of each distributed power source in the main and distribution networks, and determine the power transmission loss information of each distributed power source.

[0047] Among them, the main and distribution networks are the main network and the distribution network in the power system. The two together constitute a complete power supply system, ensuring the effective connection and stable supply of power in all links from power production to consumption. The main network (transmission network) is a high-voltage power transmission network, which can transmit the power generated by large power plants to each power consumption area through high-voltage power transmission lines. For example, it can include power plants, substations and connected high-voltage power transmission lines, and is used for long-distance and large-capacity power transmission; the distribution network (distribution network) can receive power from the main network and distribute it to the medium- and low-voltage power network at the final power consumption end, mainly including substations, distribution lines (overhead lines or cables), distribution transformers and other facilities, which directly provide power services to end users, such as families, commercial buildings and small factories.

[0048] As an example, the historical power transmission data may include the transmission path, power transmission loss and current of the transmission line of the distributed power source.

[0049] Among them, the power transmission loss information can be used to characterize the power transmission loss rate of the shortest energy-transmissible path between each distributed power source and multiple adjacent power consumption ends in the main and distribution networks.

[0050] In practical applications, by obtaining the historical power transmission data and the shortest energy-transmissible path information of each distributed power source in the main and distribution networks, the power transmission loss rate of the shortest energy-transmissible path from each distributed power source to several adjacent power consumption ends can be calculated as the power transmission loss information of each distributed power source. As Figure 2 shown, information blocks of each distributed power source can be constructed based on the power transmission loss information of each distributed power source for further data processing.

[0051] Step 102: Based on the power transmission loss information of each distributed power source, construct an optimal power transmission data set for each distributed power source.

[0052] Among them, the optimal power transmission data set may include the optimal power transmission path between the corresponding distributed power source and the power consumption ends other than multiple adjacent power consumption ends and the path power transmission loss rate.

[0053] In a specific implementation, by placing the power transmission loss information in the information block pointer and storing the pointer position information of each distributed power source in the form of an adjacency matrix, the information block pointers of each distributed power source containing the power transmission loss rate of the shortest accessible transmission path can be passed, as Figure 2 shown. Furthermore, based on the power transmission loss rate of the shortest accessible transmission path of each distributed power source, an optimal power transmission data set can be calculated and added to the information block of each distributed power source. For example, the optimal power transmission path from each distributed power source to other power consumption ends and the power transmission loss rate of this path can be calculated.

[0054] Step 103: Based on the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, determine that the power consumption end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end.

[0055] Among them, the predicted power consumption demand can be obtained by a trained power consumption prediction model based on temperature data.

[0056] In an alternative embodiment, as Figure 2 shown, a power consumption prediction model can be constructed and trained based on the historical data of each power consumption end; specifically, by collecting the historical monthly average temperature of each power consumption end for several months, a power consumption prediction model for predicting the power consumption demand of the next month of this power consumption end is constructed with the historical data of each power consumption end, and the monthly power consumption of each month is collected correspondingly. Furthermore, the historical monthly average temperature of each power consumption end can be used as input data, and the monthly power consumption collected for each corresponding power consumption end can be used as output data to construct and train a power consumption prediction model for predicting the power consumption of each power consumption end in the next month.

[0057] Since climate change will affect energy demand and usage patterns, such as in the hot summer, the power consumption of refrigeration equipment such as air conditioners will increase significantly, and in the cold winter, the power consumption of heating equipment will also rise. Therefore, it is more reasonable to predict power consumption through temperature, and by predicting power consumption to judge whether the distributed power sources supplied around the power consumption end can be used as power transmission ends, the problem of power shortage in the next month at the power consumption end of power transmission can be reduced, and the scientific nature of distribution management optimization is improved.

[0058] In one example, the trained electricity consumption prediction model can be put into real-time collection for use, such as Figure 2 As shown, through real-time data collection, the monthly average temperature of the next month can be collected based on a meteorological monitoring station or monitoring system. The monthly average temperature of the next month is input into the electricity consumption prediction model to obtain the predicted electricity consumption demand of each electricity consumption end. The electricity consumption demand information of each electricity consumption end can be collected based on the load information monitoring terminal and transmitted to the central controller. In addition, the active power output of each distributed power source can be collected through the information monitoring terminal of each distributed power source and transmitted to the central controller. Furthermore, based on path optimization analysis, it can be determined that the user end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end.

[0059] Step 104, for multiple said power receiving ends and multiple said power transmission ends, use the optimal power transmission data set of each said distributed power source to optimize the power transmission path and obtain the power transmission optimization plan for the main distribution network.

[0060] In practical applications, for the calculation of the power transmission optimization plan, such as Figure 2 As shown, the central controller can identify the active power output of each distributed power source, judge the power consumption end that needs power transmission (i.e., the power receiving end) and the distributed power source with surplus active power output (i.e., the power transmission end) according to the electricity consumption demand information, the actual active power output and the predicted electricity consumption demand. Then, according to the optimal power transmission path and the power transmission loss rate of this path, the power transmission optimization plan can be calculated and output. Furthermore, the substation can perform power transmission according to the output power transmission optimization plan.

[0061] Exemplarily, such as Figure 3 As shown, through the mutual cooperation and coordination among the steps in the system, it can adapt to distributed power sources of different scales and different types, and has good flexibility and scalability. As the scale of distributed power sources expands and the types increase, the system can adapt to new requirements through simple upgrades and expansions.

[0062] Compared with the traditional method, the technical solution of this embodiment can effectively reduce the transportation loss and improve the economic benefit by constructing information blocks including the shortest energy-transmissible path power transmission loss rate and the optimal power transmission path for each distributed power source in the power grid and realizing the management optimization of the main distribution network based on the resource transportation path.

[0063] In the above method for optimizing the operation of the main and distribution networks of distributed power sources, by obtaining the historical power transmission data and the shortest accessible transmission path information of each distributed power source in the main and distribution networks, the power transmission loss information of each distributed power source is determined. Then, based on the power transmission loss information of each distributed power source, an optimal power transmission data set for each distributed power source is constructed. According to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, the user end that needs power transmission is determined as the power receiving end, and the distributed power source with surplus active power output is determined as the power transmission end. Furthermore, for multiple power receiving ends and multiple power transmission ends, the optimal power transmission data set of each distributed power source is used to optimize the power transmission path, obtaining a power transmission optimization plan for the main and distribution networks, realizing the management optimization of the resource transportation path and the orderly mobilization of distributed energy, being able to effectively reduce the transportation loss and improve the power resource transportation efficiency.

[0064] In an exemplary embodiment, the obtaining of the historical power transmission data and the shortest accessible transmission path information of each distributed power source in the main and distribution networks, and determining the power transmission loss information of each distributed power source may include the following steps:

[0065] Collect the historical power transmission data of each distributed power source recorded by the load information monitoring terminal; the historical power transmission data includes the power transmission loss and the current of the transmission line in the transmission path of each distributed power source; based on the shortest accessible transmission path information of each distributed power source, using the power transmission loss and the current of the transmission line in the historical power transmission data, calculate the power transmission loss rate of the shortest accessible transmission path between each distributed power source and the multiple adjacent power consumption ends as the power transmission loss information of each distributed power source.

[0066] In an example, the historical power transmission data recorded by the load information monitoring terminal can be collected, and at the same time, the shortest accessible transmission path information of each distributed power source can be collected, and then the power transmission loss rate of the shortest accessible transmission path from each distributed power source to several adjacent power consumption ends can be calculated; specifically, the power transmission loss rate of the shortest accessible transmission path can be calculated by the following formula:

[0067]

[0068] Among them, ΔP is the power transmission loss, I is the current magnitude of the line during power transmission, and r is the power transmission loss rate of the shortest accessible transmission path. By calculating the power transmission loss rate of the accessible transmission path in the transmission path adjacent to each distributed power source, it is beneficial to the subsequent calculation of the power transmission loss, can reduce the computing time of the computer, and improve the path optimization efficiency.

[0069] In an exemplary embodiment, the constructing of the optimal power transmission data set for each distributed power source based on the power transmission loss information of each distributed power source may include the following steps:

[0070] Taking the power transmission loss rate of the shortest energy - transmissible path between each distributed power source and the multiple adjacent power - consuming ends as the edge weight value, and using each distributed power source as a node, draw the simulated power transmission diagram of the main and distribution network; Based on the simulated power transmission diagram of the main and distribution network, perform data calculation through an algorithm for solving the single - source shortest path problem, and construct the optimal power transmission data set for each distributed power source.

[0071] In practical applications, according to the power transmission loss rate of the shortest energy - transmissible path of each distributed power source, taking the power transmission loss rate of the shortest energy - transmissible path from each distributed power source to several adjacent power - consuming ends as the edge weight value, and using each distributed power source as a node, draw the power - transmission weighted - edge graph of the simulated power grid (i.e., the simulated power transmission diagram). Furthermore, the Dijkstra algorithm can be used to calculate and construct the optimal power transmission data set for each distributed power source. This optimal power transmission data set is stored in the computer in the form of an adjacency matrix, which is convenient for subsequent path acquisition.

[0072] In an exemplary embodiment, determining the power - receiving end as the user end that needs power transmission and the power - transmitting end as the distributed power source with surplus active - power output according to the power - consumption demand information of each power - consuming end, the active - power output of each distributed power source, and the predicted power - consumption demand of each power - consuming end may include the following steps:

[0073] According to the power - consumption demand information of each power - consuming end and the active - power output of each distributed power source, divide the multiple power - consuming ends into power - consuming ends with surplus power consumption and power - consuming ends that need power transmission, and take the power - consuming ends that need power transmission as the power - receiving end; Based on the predicted power - consumption demand of each power - consuming end with surplus power consumption, evaluate the power - transmission capacity of each power - consuming end with surplus power consumption, and screen out the power - consuming ends for power transmission; From the multiple distributed power sources around each power - consuming end for power transmission, determine the distributed power source with surplus active - power output as the power - transmitting end.

[0074] In a specific implementation, the judgment process for whether a power - consuming end is for power transmission or power reception may include:

[0075] 1. For the judgment of the power - receiving end, the following formula can be used to calculate the required power consumption of each power - consuming end:

[0076]

[0077] where i is the power - consuming end number, j is the distributed power source number, D i is the required power consumption of each power - consuming end, M i is the power consumption that meets the demand of each power - consuming end (i.e., the power - consumption demand information), G ij is the active - power output of the supply distributed power source numbered j around the power - consuming end numbered i.

[0078] When the required power consumption D of the power-consuming end i is a positive number, the power-consuming end can be a power-consuming end with surplus power consumption. When the required power consumption D of the power-consuming end i is a negative number, the power-consuming end can be a power-consuming end that requires power transmission, such as being marked as a power-receiving end.

[0079] 2. For the evaluation of the power transmission capacity of the power-consuming end with surplus power, the predicted power consumption demand of the power-consuming end with surplus power can be compared with the power consumption M that meets the demand i When the predicted power consumption demand is greater than or equal to the power consumption M that meets the demand i it indicates that the distributed power source of this power-consuming end with surplus power can be used for power transmission (i.e., the power-transmitting power-consuming end). When the predicted power consumption demand is less than the power consumption M that meets the demand i it indicates that the distributed power source of this power-consuming end with surplus power cannot be used for power transmission.

[0080] 3. By comparing several distributed power sources around the power-consuming end with surplus power that can be used for power transmission, the distributed power sources with surplus active power output can be determined and marked as power-transmitting ends.

[0081] In an exemplary embodiment, determining the distributed power sources with surplus active power output from multiple distributed power sources around each of the power-transmitting power-consuming ends may include the following steps:

[0082] For multiple distributed power sources around each of the power-transmitting power-consuming ends, according to the transmission loss rate of the shortest energy-transmissible path of each distributed power source, determine the active power output of each distributed power source; based on the active power output of each distributed power source, screen out the distributed power sources with surplus active power output.

[0083] Exemplarily, by comparing the transmission loss rate data of the shortest energy-transmissible paths of several distributed power sources around the power-consuming end with surplus power that can be used for power transmission, the distributed power source with the largest value of the transmission loss rate of the shortest energy-transmissible path is used as the main supply distributed power source for this power-consuming end with surplus power. Then, sum up in descending order of the transmission loss rate data values of the shortest energy-transmissible paths. When the sum of the active power outputs of several supply distributed power sources is equal to the power consumption that meets the demand of this power-consuming end, stop summing. Furthermore, the remaining unsummed distributed power sources can be used as the distributed power sources with surplus active power output and marked as power-transmitting ends.

[0084] In an exemplary embodiment, the power transmission optimization scheme can be used to indicate the power transmission ends for power transmission to each power receiving end respectively. For multiple power receiving ends and multiple power transmission ends, by using the optimal power transmission data set of each distributed power source to optimize the power transmission path, the power transmission optimization scheme of the main distribution network can be obtained, which may include the following steps:

[0085] Arrange each of the power receiving ends as the target power receiving end in descending order according to the electricity demand; calculate the power transmission loss rate from each power transmission end to the target power receiving end during power transmission according to the optimal power transmission data set of the distributed power source corresponding to each power transmission end, and sort the multiple power transmission ends according to the power transmission loss rate; determine the target power transmission end for power transmission to the target power receiving end from the sorted multiple power transmission ends.

[0086] In practical applications, the loss situations of multiple power transmission ends can be compared. Optionally, by taking the absolute value of the required electricity consumption of several power receiving ends and sorting the several power receiving ends according to the magnitude of the required electricity consumption. Thus, by distributing power transmission to the power receiving user ends in the order of the demand magnitude of the power receiving user ends, since the demand is proportional to the loss, the greater the demand, the more power is transmitted, and the greater the loss during transmission. This design optimizes in advance for the power receiving user ends with large demands, which can reduce the loss during power transmission, and a large demand means a damaged quality of life. Prioritizing optimization and distribution can improve the power consumption experience.

[0087] The power receiving ends can be taken as the target power consumption ends in descending order, and then by identifying the optimal power transmission data sets of the distributed power sources of several power transmission ends, the power transmission loss rates from each optimal power transmission data set to the target power consumption end can be compared, and the distributed power sources of several power transmission ends can be re-sorted. Thus, sorting the distributed power sources of the power transmission ends according to the loss rate during power transmission can ensure that the demand with the largest transportation volume is preferentially allocated and planned through the path with the lowest loss, which can realize the orderly mobilization of energy, make the optimized power transmission path scheme more reasonable and efficient, and contribute to reducing the power loss during power transmission, further balancing the supply and demand relationship in the power grid, and enhancing the overall stability and reliability of the power grid.

[0088] In one example, the following formula can be used to determine the target power transmission end for power transmission to the target power consumption end:

[0089]

[0090] where n is the power receiving end number from largest to smallest after sorting the distributed power sources of several power transmission ends according to the magnitude of the required electricity consumption D i , \(P_{out}\) is the active power output of the distributed power source of the power transmission end, r n ​is the transmission loss rate of the distributed power source at the power transmission end numbered n, I n is the average current magnitude during the power transmission process at the power transmission end, K n is the loss power of the transformer during the power transmission process, which is collected by the load information monitoring terminal.

[0091] In another example, the number m calculated by the above formula for determining the target power transmission end can represent that the power demand of the target power consumption end is completed by the distributed power sources at the power transmission ends numbered from n to m; the power transmission paths of each distributed power source are the optimal power transmission paths recorded in each distributed power source to the target power consumption end. When there are multiple target power consumption ends, the distributed power sources at the power transmission ends after the m-th number can be re-inserted into the transmission loss rate of the next target power consumption end for re-ranking. Thus, through the method of number calculation for distribution, when the demand of the power receiving user end is met, the distributed power sources after the number are not processed, which can ensure sufficient power supply during the peak demand and at the same time reduce the risk of wasting power resources during the low demand period.

[0092] In an exemplary embodiment, as Figure 4 shown, a flowchart of another method for optimizing the operation of the main and distribution networks of distributed power sources is provided. In this embodiment, the method includes the following steps:

[0093] In step 401, historical power transmission data of each distributed power source recorded by the load information monitoring terminal is collected; the historical power transmission data includes the power transmission loss and the current of the power transmission line in the transmission path of each distributed power source. In step 402, based on the shortest passable transmission path information of each distributed power source, using the power transmission loss and the current of the power transmission line in the historical power transmission data, the power transmission loss rate of the shortest passable transmission path between each distributed power source and multiple adjacent power consumption ends is calculated as the power transmission loss information of each distributed power source. In step 403, taking the power transmission loss rate of the shortest passable transmission path between each distributed power source and multiple adjacent power consumption ends as the edge weight value and each distributed power source as the node, a simulated power transmission diagram of the main and distribution networks is drawn. In step 404, based on the simulated power transmission diagram of the main and distribution networks, data calculation is performed through an algorithm for solving the single-source shortest path problem, and an optimal power transmission data set of each distributed power source is constructed. In step 405, according to the power consumption demand information of each power consumption end and the active power output of each distributed power source, multiple power consumption ends are divided into power consumption ends with surplus power consumption and power consumption ends requiring power transmission, and the power consumption ends requiring power transmission are used as the power receiving ends. In step 406, based on the predicted power consumption demand of each power consumption end with surplus power consumption, the power transmission capacity of each power consumption end with surplus power consumption is evaluated, power transmission power consumption ends are selected, and distributed power sources with surplus active power output are determined from multiple distributed power sources around each power transmission power consumption end as the power transmission ends. In step 407, for multiple power receiving ends and multiple power transmission ends, the optimal power transmission data set of each distributed power source is used to optimize the power transmission path, and a power transmission optimization plan for the main and distribution networks is obtained.

[0094] It should be noted that the specific limitations of the above steps can be referred to the specific limitations of a method for optimizing the operation of the main and distribution networks of a distributed power source described above, and will not be elaborated here.

[0095] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages, and these steps or stages do not necessarily have to be executed at the same time, but can be executed at different times, and the execution order of these steps or stages does not necessarily have to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0096] Based on the same inventive concept, an embodiment of the present application further provides a main and distribution network optimal operation device for a distributed power source for implementing the main and distribution network optimal operation method for the distributed power source involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the main and distribution network optimal operation device for the distributed power source provided below can refer to the limitations on the main and distribution network optimal operation method for the distributed power source in the foregoing, and will not be repeated here.

[0097] In an exemplary embodiment, as Figure 5 shown, a main and distribution network optimal operation device for a distributed power source is provided, including:

[0098] A transmission loss information acquisition module 501, configured to obtain historical transmission data and shortest available transmission path information of each distributed power source in the main and distribution network, and determine the transmission loss information of each distributed power source; the transmission loss information is used to characterize the transmission loss rate of the shortest available transmission path between each distributed power source and multiple adjacent power consumption ends in the main and distribution network;

[0099] An optimal transmission data set construction module 502, configured to construct an optimal transmission data set for each distributed power source based on the transmission loss information of each distributed power source; the optimal transmission data set includes the optimal transmission path between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends and the path transmission loss rate thereof;

[0100] A power receiving end and power transmission end determination module 503, configured to determine, according to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, that the user end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end; the predicted power consumption demand is obtained by a trained power consumption prediction model based on temperature data;

[0101] A transmission optimization scheme obtaining module 504, configured to optimize the transmission path for multiple power receiving ends and multiple power transmission ends by using the optimal transmission data set of each distributed power source, so as to obtain a transmission optimization scheme for the main and distribution network.

[0102] In one embodiment, the power transmission loss information obtaining module 501 is specifically configured to collect the historical power transmission data of each of the distributed power sources recorded by the load information monitoring terminal; the historical power transmission data includes the power transmission power loss and the current of the power transmission line in the transmission path of each of the distributed power sources; based on the shortest passable transmission path information of each of the distributed power sources, the power transmission power loss and the current of the power transmission line in the historical power transmission data are used to calculate the power transmission loss rate of the shortest passable transmission path between each of the distributed power sources and the multiple adjacent power consumption ends, as the power transmission loss information of each of the distributed power sources.

[0103] In one embodiment, the optimal power transmission data set construction module 502 is specifically configured to use the power transmission loss rate of the shortest passable transmission path between each of the distributed power sources and the multiple adjacent power consumption ends as the edge weight value, and use each of the distributed power sources as a node to draw a simulated power transmission diagram of the main distribution network; based on the simulated power transmission diagram of the main distribution network, data calculation is performed through an algorithm for solving the single-source shortest path problem, and an optimal power transmission data set of each of the distributed power sources is constructed.

[0104] In one embodiment, the power receiving end and power transmission end determining module 503 is specifically configured to divide the multiple power consumption ends into power consumption ends with surplus power consumption and power consumption ends that need power transmission according to the power consumption demand information of each of the power consumption ends and the active power output of each of the distributed power sources, and use the power consumption ends that need power transmission as the power receiving ends; based on the predicted power consumption demand of each of the power consumption ends with surplus power consumption, the power transmission capacity of each of the power consumption ends with surplus power consumption is evaluated, and the power consumption ends for power transmission are screened out; from the multiple distributed power sources around each of the power consumption ends for power transmission, the distributed power sources with surplus active power output are determined as the power transmission ends.

[0105] In one embodiment, the power receiving end and power transmission end determining module 503 is specifically further configured to, for the multiple distributed power sources around each of the power consumption ends for power transmission, determine the active power output of each of the distributed power sources according to the power transmission loss rate of the shortest passable transmission path of each of the distributed power sources; based on the active power output of each of the distributed power sources, the distributed power sources with surplus active power output are screened out.

[0106] In one embodiment, the power transmission optimization scheme is used to indicate the power transmission end that transmits power to each of the power receiving ends. The power transmission optimization scheme obtaining module 504 is specifically configured to sequentially use each of the power receiving ends as the target power receiving end in descending order of power consumption demand; calculate the power transmission loss rate from each of the power transmission ends to the target power receiving end during the power transmission process according to the optimal power transmission data set of the distributed power source corresponding to each of the power transmission ends, and sort the multiple power transmission ends according to the power transmission loss rate; determine the target power transmission end that transmits power to the target power receiving end from the sorted multiple power transmission ends.

[0107] Each module in the above-mentioned main distribution network optimal operation device of the distributed power source can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor in the computer device in hardware form or be independent of the processor, or can be stored in the memory in the computer device in software form so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0108] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 6 shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through the system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for the processor to exchange information with external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it realizes a method for optimizing the operation of the main distribution network of a distributed power source. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad set on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0109] Those skilled in the art can understand that Figure 6The structure shown is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0110] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0111] Obtain the historical power transmission data and the shortest passable transmission path information of each distributed power source in the main distribution network, and determine the power transmission loss information of each distributed power source; the power transmission loss information is used to characterize the power transmission loss rate of the shortest passable transmission path between each distributed power source and multiple adjacent power consumption ends in the main distribution network;

[0112] Based on the power transmission loss information of each distributed power source, construct an optimal power transmission data set for each distributed power source; the optimal power transmission data set includes the optimal power transmission path between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends and the path power transmission loss rate;

[0113] According to the power consumption demand information of each power consumption end, the active power output of each distributed power source, and the predicted power consumption demand of each power consumption end, determine that the power consumption end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end; the predicted power consumption demand is predicted by a trained power consumption prediction model based on temperature data;

[0114] For multiple power receiving ends and multiple power transmission ends, use the optimal power transmission data set of each distributed power source to optimize the power transmission path, and obtain the power transmission optimization plan of the main distribution network.

[0115] In an embodiment, when the processor executes the computer program, the steps of the main distribution network optimization operation method of the distributed power source in the above-mentioned other embodiments are also implemented.

[0116] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0117] Obtain the historical power transmission data and the shortest passable transmission path information of each distributed power source in the main distribution network, and determine the power transmission loss information of each distributed power source; the power transmission loss information is used to characterize the power transmission loss rate of the shortest passable transmission path between each distributed power source and multiple adjacent power consumption ends in the main distribution network;

[0118] Construct an optimal power transmission dataset for each of the distributed power sources based on the power transmission loss information of each of the distributed power sources; the optimal power transmission dataset includes the optimal power transmission path and its path power transmission loss rate between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends.

[0119] Based on the power consumption demand information of each of the power consumption ends, the active power output of each of the distributed power sources, and the predicted power consumption demand of each of the power consumption ends, determine that the user end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end; the predicted power consumption demand is obtained by the trained power consumption prediction model based on temperature data.

[0120] For multiple power receiving ends and multiple power transmission ends, optimize the power transmission path by using the optimal power transmission dataset of each of the distributed power sources to obtain the power transmission optimization plan for the main and distribution networks.

[0121] In one embodiment, when the computer program is executed by a processor, it also implements the steps of the method for optimizing the operation of the main and distribution networks of the distributed power sources in the above-mentioned other embodiments.

[0122] In one embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the following steps:

[0123] Obtain the historical power transmission data and the shortest passable transmission path information of each distributed power source in the main and distribution networks, and determine the power transmission loss information of each of the distributed power sources; the power transmission loss information is used to characterize the power transmission loss rate of the shortest passable transmission path between each of the distributed power sources and multiple adjacent power consumption ends in the main and distribution networks.

[0124] Construct an optimal power transmission dataset for each of the distributed power sources based on the power transmission loss information of each of the distributed power sources; the optimal power transmission dataset includes the optimal power transmission path and its path power transmission loss rate between the corresponding distributed power source and the power consumption ends other than the multiple adjacent power consumption ends.

[0125] Based on the power consumption demand information of each of the power consumption ends, the active power output of each of the distributed power sources, and the predicted power consumption demand of each of the power consumption ends, determine that the user end that needs power transmission is the power receiving end, and the distributed power source with surplus active power output is the power transmission end; the predicted power consumption demand is obtained by the trained power consumption prediction model based on temperature data.

[0126] For multiple power receiving ends and multiple power transmission ends, optimize the power transmission path by using the optimal power transmission dataset of each of the distributed power sources to obtain the power transmission optimization plan for the main and distribution networks.

[0127] In one embodiment, when the computer program is executed by a processor, it also implements the steps of the method for optimizing the operation of the main distribution network of the distributed power supply in the above-mentioned other embodiments.

[0128] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0129] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0130] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this application.

[0131] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application should be subject to the appended claims.

Claims

1. A method for optimizing the operation of a main distribution network of a distributed power source, characterized in that: The method comprises: Obtain historical power transmission data and the shortest accessible transmission path information of each distributed power source in the main distribution network, and determine the power transmission loss information of each distributed power source; the power transmission loss information is used to characterize the power transmission loss rate of the shortest accessible transmission path between each distributed power source and multiple adjacent power consumption ends in the main distribution network; Based on the transmission loss information of each of the distributed power sources, construct an optimal transmission data set for each of the distributed power sources; the optimal transmission data set includes an optimal transmission path between the corresponding distributed power source and power consumption ends other than the plurality of adjacent power consumption ends and its path transmission loss rate; According to the power demand information of each power consumption end, the active power output of each distributed power source, and the predicted power demand of each power consumption end, it is determined that the user end that needs power transmission is the receiving end and the distributed power source with surplus active power output is the transmission end; the predicted power demand is obtained by predicting the trained power consumption prediction model based on the temperature data; For the plurality of power receiving ends and the plurality of power transmission ends, the optimal power transmission data set of each distributed power source is used to optimize the power transmission path, so as to obtain a power transmission optimization scheme for the main distribution network.

2. The method according to claim 1, characterized in that The acquiring of historical power transmission data and the shortest energy transmission path information of each distributed power source in the main distribution network and determining the power transmission loss information of each distributed power source includes: Collecting historical power transmission data of each of the distributed power sources recorded by the load information monitoring terminal; the historical power transmission data includes the power transmission power loss and the power transmission line current in the transmission path of each of the distributed power sources; Based on the shortest energy-transmitting path information of each of the distributed power sources, the transmission power loss and transmission line current in the historical transmission data are used to calculate the transmission loss rate of the shortest energy-transmitting path between each of the distributed power sources and the multiple adjacent power consumption ends as the transmission loss information of each of the distributed power sources.

3. The method according to claim 1, characterized in that The constructing of an optimal power transmission data set of each distributed power source based on the power transmission loss information of each distributed power source comprises: Using the transmission loss rate of the shortest accessible transmission path between each of the distributed power sources and the plurality of adjacent power consumption ends as the edge weight, and using each of the distributed power sources as a node, a simulated transmission diagram of the main distribution network is drawn; Based on the simulated transmission diagram of the main distribution network, data calculation is performed through an algorithm for solving the single-source shortest path problem to construct an optimal transmission data set for each of the distributed power sources.

4. The method according to claim 1, characterized in that: The method of determining, based on the power demand information of each power user, the active power output of each distributed power source, and the predicted power demand of each power user, the user end that needs power transmission is the power receiving end and the distributed power source with surplus active power output is the power transmission end includes: According to the power demand information of each power consumption terminal and the active power output of each distributed power source, the plurality of power consumption terminals are divided into power consumption terminals with surplus power consumption and power consumption terminals requiring power transmission, and the power consumption terminals requiring power transmission are used as the power receiving terminals; Based on the predicted power demand of each of the power consumption terminals with surplus power consumption, the power transmission capacity of each of the power consumption terminals with surplus power consumption is evaluated to screen out the power transmission terminals; A distributed power source with surplus active power output is determined from a plurality of distributed power sources around each of the power transmission terminals as the power transmission terminal.

5. The method according to claim 4, characterized in that The step of determining a distributed power source with surplus active power output from a plurality of distributed power sources around each of the power transmission and electricity consumption ends includes: For a plurality of distributed power sources around each of the power transmission and electricity consumption ends, determining the active power output of each of the distributed power sources according to the transmission loss rate of the shortest energy transmission path of each of the distributed power sources; Based on the active power output of each of the distributed power sources, the distributed power sources with surplus active power output are screened out.

6. The method according to any one of claims 1 to 5, characterized in that: The power transmission optimization scheme is used to indicate the power transmission end that transmits power to each of the power receiving ends respectively. For the multiple power receiving ends and the multiple power transmission ends, the optimal power transmission data set of each of the distributed power sources is used to optimize the power transmission path to obtain the power transmission optimization scheme of the main distribution network, including: According to the power demand from large to small, each of the power receiving terminals is taken as the target power receiving terminal in turn; According to the optimal transmission data set of the distributed power source corresponding to each transmission end, the transmission loss rate from each transmission end to the target receiving end during the transmission process is calculated, and the plurality of transmission ends are sorted according to the transmission loss rate; A target power transmission terminal for transmitting power to the target power receiving terminal is determined from among the sorted plurality of power transmission terminals.

7. A main distribution network optimization operation device for distributed power sources, characterized in that: The device comprises: A transmission loss information acquisition module is used to obtain historical transmission data and the shortest accessible transmission path information of each distributed power source in the main distribution network, and determine the transmission loss information of each distributed power source; the transmission loss information is used to characterize the transmission loss rate of the shortest accessible transmission path between each distributed power source and multiple adjacent power consumption ends in the main distribution network; An optimal power transmission data set construction module is used to construct an optimal power transmission data set for each of the distributed power sources based on the power transmission loss information of each of the distributed power sources; the optimal power transmission data set includes an optimal power transmission path between the corresponding distributed power source and power consumption ends other than the plurality of adjacent power consumption ends and its path power transmission loss rate; A module for determining a receiving end and a transmission end, for determining, based on the power demand information of each power user, the active power output of each distributed power source, and the predicted power demand of each power user, the user end that needs power transmission is the receiving end, and the distributed power source with surplus active power output is the transmission end; the predicted power demand is obtained by predicting the trained power prediction model based on the temperature data; The power transmission optimization scheme obtaining module is used to optimize the power transmission path for the multiple power receiving ends and the multiple power transmission ends using the optimal power transmission data set of each distributed power source to obtain the power transmission optimization scheme of the main distribution network.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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