A distributed power supply control system and method

Abstract

The present application provides a distributed power supply control system and method, which determines the load factor of the target distributed power supply based on historical power consumption data; determines the power efficiency coefficient of each power supply node based on historical power generation data, and then uses all power efficiency coefficients and load factors to divide the power supply area of ​​the target distributed power supply into multiple power distribution areas; performs stability verification on the load degree of each power distribution area in the target distributed power supply through the power load entropy and load factor of each power distribution area, and obtains the load stability of each power distribution area; determines the load balance of the target distributed power supply through all load stabilities, and performs balanced adjustment on the power supply area of ​​each power node in the target distributed power supply based on the load balance. The above scheme can realize balanced scheduling and distribution of distributed power supply loads, thereby improving the load balance of the distributed power supply control system in load distribution.

Description

Technical Field

[0001] The present application relates to the field of power transmission technology, and more specifically, to a distributed power supply control system and method. Background Art

[0002] Power transmission involves the efficient, reliable and safe transmission of electrical energy in power systems. The transmission process from power plants to user terminals covers a wide range of technologies and equipment. Power transmission refers to the process of transmitting the electrical energy generated by power plants from the power production site to the user terminal through equipment such as transmission lines, transformers and distribution networks. Power transmission also involves the management and optimization of power loads, and adjusts the balance between power supply and demand through load forecasting, load balancing and load adjustment to ensure that the power supply system has sufficient flexibility and stability.

[0003] Distributed power sources refer to small energy generation equipment and energy storage equipment distributed at various nodes or on the user side of the power system, which can produce, store and use energy in a decentralized and localized manner. The existing technology usually adopts a distribution method based on user demand response for the scheduling and distribution of distributed power supply loads. However, the distribution method based on demand response may cause some power supply nodes in the distributed power supply to be in a continuous overload state, and some power supply nodes to be in a long-term idle state. Power supply nodes in a continuous overload state may cause the power supply to be unstable and accelerate the damage of the power supply nodes. Being in a long-term idle state will cause the energy utilization rate of the power supply nodes of the distributed power supply to be too low, thereby causing unbalanced scheduling and distribution of distributed power supply loads. Therefore, how to realize the scheduling and distribution of distributed power supply loads to balance the loads of multiple power supply nodes, and then improve the load balancing degree of the distributed power supply control system in load distribution is a difficult problem faced by the industry. Summary of the Invention

[0004] The present application provides a distributed power supply control system and method, which can realize balanced scheduling and distribution of distributed power supply loads, thereby improving the load balance of the distributed power supply control system in load distribution.

[0005] In a first aspect, the present application provides a distributed power supply control method, comprising:

[0006] Obtain the historical power consumption records of each load node in the target distributed power source, and then obtain the historical power consumption data;

[0007] Based on the historical power consumption data, all load nodes are divided into active load nodes and reactive load nodes, and then a load difference sequence is determined according to all active load nodes, and a load factor of the target distributed power source is determined by the load difference sequence and the power factor of each reactive load node;

[0008] Obtaining historical power generation records of each power node in the target distributed power source to obtain historical power generation data, determining a power efficiency coefficient of each power node based on the historical power generation data, and then dividing the power supply area of ​​the target distributed power source into multiple power distribution areas using all the power efficiency coefficients and the load factor;

[0009] Determine the power load entropy of each power distribution area, perform stability verification on the load degree of each power distribution area in the target distributed power source using all the power load entropies and the load factor, and obtain the load stability of each power distribution area;

[0010] The load balance degree of the target distributed power source is determined by all load stability degrees, and the load of each power source node in the target distributed power source is evenly scheduled and distributed based on the load balance degree.

[0011] In some embodiments, determining the load difference sequence based on all active load nodes specifically includes:

[0012] For each active load node, obtaining a historical power consumption record of the active load node from the historical power consumption data;

[0013] Determine the peak-to-valley difference value of the active load node through the historical power consumption record, and then obtain the peak-to-valley difference value of each active load node;

[0014] The load difference sequence is determined based on all peak-to-valley difference values.

[0015] In some embodiments, determining the load factor of the target distributed power source by using the load difference sequence and the power factor of each reactive load node specifically includes:

[0016] For each load node, if the load node is a reactive load node, determining the load amount corresponding to the load node by using the power factor of the reactive load node and the load difference sequence;

[0017] If the load node is an active load node, obtaining the peak-to-valley difference value of the load node in the load difference sequence, determining the load amount corresponding to the load node by using the peak-to-valley difference value and all power factors, and then obtaining the load amount corresponding to each load node;

[0018] The load factor of the target distributed power source is determined according to all load amounts.

[0019] In some embodiments, determining the power efficiency coefficient of each power node based on the historical power generation data specifically includes:

[0020] For each power supply node, obtaining a historical power generation record of the power supply node from the historical power generation data;

[0021] Determining the energy loss rate of the power node through the historical power generation record;

[0022] Obtaining the power load degree of the power node from the historical power generation record;

[0023] The power efficiency coefficient of the power node is determined according to the energy loss rate and the power load degree, and then the power efficiency coefficient of each power node is determined.

[0024] In some embodiments, using all power efficiency coefficients and the load factors to divide the power supply area of ​​the target distributed power source into multiple power distribution areas specifically includes:

[0025] For each power supply node, a stable power supply value is determined according to the power efficiency coefficient of the power supply node;

[0026] Determining a stable power supply interval of the power supply node according to the stable power supply value and the power supply threshold of the power supply node, thereby obtaining a stable power supply interval of each power supply node;

[0027] Determining a load profile using all load quantities in the load factor;

[0028] The load distribution diagram is divided into a plurality of power distribution areas based on respective stable power supply intervals.

[0029] In some embodiments, performing balanced scheduling and distribution of the load of each power source node in the target distributed power source based on the load balancing degree specifically includes:

[0030] If the load balance degree is greater than a preset balance threshold, each power distribution area is used as a power supply area for the load of the corresponding power node in the target distributed power source;

[0031] If the load balance degree is less than or equal to the preset balance threshold, the power distribution area is reallocated by lowering the preset error threshold until the load balance degree is less than or equal to the preset balance threshold.

[0032] In some embodiments, the target distributed power source is a wind turbine.

[0033] In a second aspect, the present application provides a distributed power supply control system, including a control unit, wherein the control unit includes:

[0034] An acquisition module is used to obtain the historical power consumption records of each load node in the target distributed power source, and then obtain the historical power consumption data;

[0035] a processing module, configured to divide all load nodes into active load nodes and reactive load nodes based on the historical power consumption data, further determine a load difference sequence based on all active load nodes, and determine a load factor of the target distributed power source using the load difference sequence and a power factor of each reactive load node;

[0036] The processing module is further configured to obtain historical power generation records of each power node in the target distributed power source, thereby obtaining historical power generation data, determine the power efficiency coefficient of each power node based on the historical power generation data, and then use all the power efficiency coefficients and the load factor to divide the power supply area of ​​the target distributed power source into multiple power distribution areas;

[0037] The processing module is further configured to determine the power load entropy of each power distribution area, and perform stability verification on the load degree of each power distribution area in the target distributed power source using all the power load entropies and the load factor to obtain the load stability of each power distribution area;

[0038] An execution module is configured to determine a load balance degree of the target distributed power source through all load stability degrees, and perform balanced scheduling and distribution of the load of each power source node in the target distributed power source based on the load balance degree.

[0039] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned distributed power supply control method.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions or codes. When the instructions or codes are run on a computer, the computer implements the above-mentioned distributed power supply control method when executing the instructions or codes.

[0041] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0042] In a distributed power supply control system and method provided by the present application, the historical power consumption record of each load node in the target distributed power supply is obtained, and then the historical power consumption data is obtained; based on the historical power consumption data, all load nodes are divided into active load nodes and reactive load nodes, and then a load difference sequence is determined based on all active load nodes, and the load factor of the target distributed power supply is determined by the load difference sequence and the power factor of each reactive load node, wherein the load factor is an indicator of the average utilization degree of electricity; the historical power generation record of each power node in the target distributed power supply is obtained, and then the historical power generation data is obtained, and the power efficiency coefficient of each power node is determined based on the historical power generation data, wherein In the embodiment, the power efficiency coefficient reflects the energy conversion efficiency of the power supply node; all the power efficiency coefficients and the load factors are used to divide the power supply area of ​​the target distributed power supply into multiple power supply distribution areas; the power load entropy of each power supply distribution area is determined, wherein the power load entropy is an indicator for measuring the uncertainty of the load change of the power system; the load degree of each power supply distribution area in the target distributed power supply is stability checked by all the power load entropies and the load factors to obtain the load stability of each power supply distribution area; the load balance degree of the target distributed power supply is determined by all the load stabilities, and the load of each power node in the target distributed power supply is evenly scheduled and allocated based on the load balance degree.

[0043] It can be seen that in this application, the load balance degree of the target distributed power supply can be determined by all load stability, and then the load of each power node in the target distributed power supply can be balanced and dispatched based on the load balance degree; wherein, the load factor is determined according to the load difference sequence of all active load nodes, and the average utilization degree of the load nodes in the target distributed power supply (i.e., load factor) can be determined, which is convenient for the subsequent evaluation of the load degree of each power node according to different real-time data, thereby improving the balance of the final dispatching and allocation; secondly, the power efficiency coefficient of each power node is used to determine multiple power supply distribution areas by using the load factor set, which can be used to distribute the target distributed power to the target distributed power supply. The load performance of the load nodes in the source is combined with the conversion performance of the power supply nodes, so as to make a more balanced and effective division of the power supply area, so that each load node can be subsequently assigned a more accurate power supply node for power supply (that is, each power supply node corresponds to a power supply distribution area, and each distribution area contains multiple load nodes); then, the average utilization level of the load nodes in the target distributed power supply is combined with the uncertainty of the load nodes to obtain the load stability of each power supply distribution area (that is, load stability); in summary, the present application can realize the balanced scheduling and distribution of distributed power supply loads, thereby improving the load balancing degree of the distributed power supply control system in load distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 is an exemplary flow chart of a distributed power supply control method according to some embodiments of the present application;

[0046] Figure 2 is a schematic diagram of a process for determining a power efficiency coefficient according to some embodiments of the present application;

[0047] Figure 3 is a schematic diagram of a process for determining load stability according to some embodiments of the present application;

[0048] Figure 4 is a schematic diagram of exemplary hardware and / or software of a control unit according to some embodiments of the present application;

[0049] Figure 5 It is a structural diagram of a computer device applying a distributed power supply control method according to some embodiments of the present application. DETAILED DESCRIPTION

[0050] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0051] The embodiment of the present application provides a distributed power supply control system and method, the core of which is to determine the load factor of the target distributed power supply based on historical power consumption data; determine the power efficiency coefficient of each power supply node based on historical power generation data, and then use all the power efficiency coefficients and load factors to divide the power supply area of ​​the target distributed power supply into multiple power distribution areas; perform stability verification on the load degree of each power distribution area in the target distributed power supply through the power load entropy and load factor of each power distribution area to obtain the load stability of each power distribution area; determine the load balance of the target distributed power supply through all the load stabilities, and balance the power supply area of ​​each power node in the target distributed power supply based on the load balance. Based on the above scheme, the balanced scheduling and distribution of the distributed power supply load can be achieved, thereby improving the load balance of the distributed power supply control system in load distribution.

[0052] In order to better understand the above technical solution, the following will be combined with the accompanying drawings and specific implementation methods to describe the above technical solution in detail. Figure 1 , which is an exemplary flow chart of a distributed power supply control method according to some embodiments of the present application. The distributed power supply control method mainly includes the following steps:

[0053] In step 101, the historical power consumption records of each load node in the target distributed power source are obtained, thereby obtaining historical power consumption data.

[0054] In specific implementation, for each load node, the electric energy consumption of the load node per minute within 30 days is obtained in the existing distributed power supply control system. The curve connecting all the electric energy consumption in chronological order can be used as the historical power consumption record of the load node. The historical power consumption record of each load node can be obtained in the above manner, and the collection of all historical power consumption records can be used as historical power consumption data, where the electric energy consumption represents the total amount of electric energy consumed by the load node within one minute. In addition, the historical power consumption record also includes the electric energy source (i.e., power supply node) used for each electric energy consumption.

[0055] It should be noted that in this application, the target distributed power source is a wind turbine; a load node refers to a regional node consisting of industrial, commercial, residential and other facilities or users, and a load node represents a regional node that consumes electricity stably; a power source node refers to a node in the power system that can inject electricity into the power grid.

[0056] In step 102, all load nodes are divided into active load nodes and reactive load nodes based on the historical power consumption data, and then a load difference sequence is determined based on all active load nodes. The load factor of the target distributed power supply is determined by the load difference sequence and the power factor of each reactive load node.

[0057] In some embodiments, dividing all load nodes into active load nodes and reactive load nodes based on the historical power consumption data can be achieved by using the following steps:

[0058] For each load node, obtaining a historical power consumption record of the load node from the historical power consumption data;

[0059] Determining the power factor of the load node through the historical power consumption record;

[0060] If the power factor is greater than 0, the load node is regarded as an active load node;

[0061] If the power factor is less than or equal to 0, the load node is regarded as a reactive load node, and then all active load nodes and reactive load nodes are obtained.

[0062] It should be noted that an active load node refers to a load node that consumes electric energy and performs useful power in the power system. The power factor of an active load node is a positive value, indicating that the load actually consumes electric energy and converts it into useful power; a reactive load node refers to a load node that consumes electric energy in the power system but does not perform useful power. The power factor of a reactive load node is a negative value or zero value, indicating that the load consumes electric energy but does not convert it into useful power, but instead generates virtual work or compensates for the power factors of the power grid.

[0063] Preferably, in the above embodiment, the power factor of the load node is determined by the historical power consumption record; in specific implementation, the sum of all electric energy consumption in the historical power consumption record is obtained as the total electric energy consumption, and the ratio of the total electric energy consumption to (30*24) is used as the useful power. The total value of the distributed power generation within 30 days can be obtained in the existing distributed power control system as the apparent power, and the ratio of the useful power to the apparent power can be used as the power factor of the load node; it should be noted that the power factor is an important parameter that describes the relationship between the active power and the apparent power in the AC circuit. The power factor reflects the proportional relationship between the active power and the apparent power in the circuit, and is usually used to measure the effective utilization of the useful power in the circuit.

[0064] In some embodiments, determining the load difference sequence based on all active load nodes may be implemented by the following steps:

[0065] For each active load node, obtaining a historical power consumption record of the active load node from the historical power consumption data;

[0066] Determine the peak-to-valley difference value of the active load node through the historical power consumption record, and then obtain the peak-to-valley difference value of each active load node;

[0067] The load difference sequence is determined based on all peak-to-valley difference values.

[0068] In specific implementation, preferably, in some embodiments, the following method can be used: first, for each active load node, the historical power consumption record of the active load node is obtained from the historical power consumption data; then, the difference between the maximum and minimum values ​​of all electric energy consumption in the historical power consumption record can be used as the peak-to-valley difference value of the active load node. The peak-to-valley difference value of each active load node can be obtained by the above method. The peak-to-valley difference value is an indicator that measures the degree of change between the peak and the valley of power consumption within a certain time range; finally, all peak-to-valley difference values ​​are arranged in descending order as the load difference sequence of all active load nodes. Other methods can also be used in other embodiments, which are not limited here.

[0069] In some embodiments, determining the load factor of the target distributed power source by using the load difference sequence and the power factor of each reactive load node can be achieved by using the following steps:

[0070] For each load node, if the load node is a reactive load node, determining the load amount corresponding to the load node by using the power factor of the reactive load node and the load difference sequence;

[0071] If the load node is an active load node, obtaining the peak-to-valley difference value of the load node in the load difference sequence, determining the load amount corresponding to the load node by using the peak-to-valley difference value and all power factors, and then obtaining the load amount corresponding to each load node;

[0072] The load factor of the target distributed power source is determined according to all load amounts.

[0073] It should be noted that the load factor is an indicator used to measure the average utilization of electricity in the target distributed power source; in specific implementation, preferably, in some embodiments, it can be implemented in the following manner, namely: first, for each load node, if the load node is a reactive load node, the product of the standard deviation of all peak-to-valley difference values ​​in the load difference sequence and the power factor is used as the load corresponding to the load node; then, if the load node is an active load node, the peak-to-valley difference value of the load node is obtained in the load difference sequence, and the product of the standard deviation of all power factors and the peak-to-valley difference value can be used as the load corresponding to the load node. The load corresponding to each load node can be obtained by the above method; finally, all load amounts can be used as all values ​​of the load factor to obtain the load factor of the target distributed power source. Other methods can also be used in other embodiments, which are not limited here.

[0074] In step 103, the historical power generation records of each power node in the target distributed power source are obtained, and then the historical power generation data is obtained. The power efficiency coefficient of each power node is determined based on the historical power generation data, and then all the power efficiency coefficients and the load factors are used to divide the power supply area of ​​the target distributed power source into multiple power supply distribution areas.

[0075] In specific implementation, for each power supply node, the power generation of the power supply node every minute within 30 days can be obtained in the existing distributed power supply control system, and the curve connecting all power generation in chronological order can be used as the historical power generation record of the power supply node. The historical power generation record of each power supply node can be obtained in the above method, and the collection of all historical power generation records can be used as historical power generation data, where the power generation is the total power generation of the power supply node within one minute.

[0076] In some embodiments, the power efficiency coefficient of each power node is determined based on the historical power generation data, referring to Figure 2 As described above, this figure is a schematic diagram of the process of determining the power efficiency coefficient in some embodiments of the present application. In this embodiment, determining the power efficiency coefficient can be achieved by using the following steps:

[0077] In step 1031, for each power supply node, a historical power generation record of the power supply node is obtained from the historical power generation data;

[0078] In step 1032, the energy loss rate of the power node is determined based on the historical power generation record;

[0079] In step 1033, the power load degree of the power node is obtained from the historical power generation record;

[0080] In step 1034 , the power efficiency coefficient of the power node is determined according to the energy loss rate and the power load, and the power efficiency coefficient of each power node is further determined.

[0081] It should be noted that, in the present application, the power efficiency coefficient reflects the energy conversion efficiency of the power supply node; in specific implementation, preferably, in some embodiments, it can be implemented in the following manner, namely: first, for each power supply node, the historical power generation record of the power supply node is obtained from the historical power generation data; secondly, the sum of all power generation in the historical power generation record is obtained as the total power generation, and the sum of all electric energy consumption of the power supply node in the historical load data is obtained as the total electric energy consumption, and the difference between the total power generation and the total electric energy consumption is used as the energy loss, and the ratio of the energy loss to the total power generation can be used as the energy loss rate of the power supply node; then, the rated power generation power (unit: kW·h) of the power supply node can be obtained from the instruction manual of the power supply node, and the product of the rated power generation power and (30*24) is used as the total power load, and the product of the total power generation and the total power load can be used as the power load degree of the power supply node; finally, the product of the power load degree, the energy loss rate and the preset adjustment coefficient can be used as the power efficiency coefficient of the power supply node. The power efficiency coefficient of each power supply node can be obtained in the above manner. In other embodiments, other methods may also be used for implementation, which are not limited here. The adjustment coefficient can be preset according to the accuracy requirements for energy conversion efficiency in the existing distributed power supply control system. The higher the accuracy requirements for energy conversion efficiency in the distributed power supply control system, the smaller the preset adjustment coefficient.

[0082] In some embodiments, using all power efficiency coefficients and the load factors to divide the power supply area of ​​the target distributed power source into multiple power distribution areas can be achieved by using the following steps:

[0083] For each power supply node, a stable power supply value is determined according to the power efficiency coefficient of the power supply node;

[0084] Determining a stable power supply interval of the power supply node according to the stable power supply value and the power supply threshold of the power supply node, thereby obtaining a stable power supply interval of each power supply node;

[0085] Determining a load profile using all load quantities in the load factor;

[0086] The load distribution diagram is divided into a plurality of power distribution areas based on respective stable power supply intervals.

[0087] In the specific implementation, first, for each power supply node, the maximum power generation power of the power supply node can be obtained from the instruction manual of the power supply node as the power supply threshold of the power supply node, and the product of the power supply threshold of the power supply node and the power efficiency coefficient can be used as the stable power supply value; secondly, an interval is initialized, the power supply threshold of the power supply node is used as the upper limit of the interval, and the stable power supply value is used as the lower limit of the interval, and the interval can be used as the stable power supply interval of the power supply node. The stable power supply interval of each power supply node can be obtained by the above method; then, all the load quantities in the load factor can be used to generate a load distribution diagram according to their corresponding positions. Each data point in the load distribution diagram represents a load node, and the load quantity corresponding to each load node as the data value of the corresponding load node; finally, initialize n (the number of power nodes) areas (one area corresponds to one power node), and use the greedy algorithm in the existing technology to gradually allocate each load node in the load distribution diagram to each area. In the allocation process, the ratio of the data difference value (that is, the difference between the sum of the data values ​​of each area (that is, the total load) and the maximum value of the corresponding interval) to the interval difference value (that is, the difference between the minimum value of the corresponding interval and the maximum value of the corresponding interval) must be within the preset error threshold to ensure that the load of each area matches the power supply capacity of the corresponding power node sufficiently, thereby ensuring the balance of the load between areas, and the allocated area can be used as the power supply distribution area of ​​the corresponding power node.

[0088] It should be noted that in this application, the error threshold is used to adjust the degree of load balance between power nodes. It can be preset based on historical usage experience, or the error threshold can be adjusted according to the degree of balance requirements in actual use; the data difference value indicates the degree of difference between the total load allocated in each area and the maximum value of the corresponding interval.

[0089] In step 104, the power load entropy of each power distribution area is determined, and the load degree of each power distribution area in the target distributed power source is stability checked using all the power load entropies and the load factor to obtain the load stability of each power distribution area.

[0090] It should be noted that the power load entropy is an indicator for measuring the uncertainty of the load change of the power system. In specific implementation, for each power distribution area, the data difference value and the interval difference value of each power distribution area are obtained, and the ratio of the data difference value to the interval difference value can be used as the load value. The load value of each power distribution area can be obtained in the above manner. For each power distribution area, the frequency of the load value of the power distribution area in all load values ​​is used as the load frequency, and the product of the load frequency and the natural logarithm of the load frequency can be used as the load stability. The power load entropy of each power distribution area can be obtained in the above manner.

[0091] In some embodiments, the load stability of each power distribution area in the target distributed power source is checked by all power load entropies and the load factor to obtain the load stability of each power distribution area. Figure 3 As described above, this figure is a schematic diagram of the process of determining load stability in some embodiments of the present application. In this embodiment, determining load stability can be achieved by using the following steps:

[0092] In step 1041, for each power distribution area, the power load entropy of the power distribution area is obtained;

[0093] In step 1042, all load amounts corresponding to the load factor in the power distribution area are verified using the power load entropy to obtain a load verification value of the power distribution area;

[0094] In step 1043, a power stabilization value is determined based on all power load entropies;

[0095] In step 1044, the load stability of the power distribution area is determined by using the power stability value and the load verification value, thereby obtaining the load stability of each power distribution area.

[0096] In specific implementation, first, for each power distribution area, the power load entropy of the power distribution area is obtained; secondly, the existing power load model is obtained, and the sum of all load amounts corresponding to the power distribution area in the load factor is used as the initialization parameter of the power load model, and the power load entropy is used as the verification parameter of the power load model. The power load model is used for verification, and the verification result can be used as the load verification value of the power distribution area. The load verification value represents the total load after excluding unstable factors. It should be noted that other power models can also be used for verification in other embodiments, which is not limited here; then, the standard deviation of all power load entropies can be used as the power stability value, which is used to measure the degree of balance of load distribution in the power distribution area; finally, the product of the power stability value and the load verification value can be used as the load stability of the power distribution area. The load stability of each power distribution area can be obtained in the above manner, and the load stability is an indicator used to measure the load stability of each power distribution area.

[0097] In step 105, the load balance degree of the target distributed power source is determined by all load stability degrees, and the load of each power source node in the target distributed power source is evenly scheduled and distributed based on the load balance degree.

[0098] In some embodiments, the load balance of the target distributed power source is determined by all load stabilities; in specific implementation, the standard deviation of all load stabilities can be used as the load balance of the target distributed power source, and the load balance is an indicator used to measure the degree of balance of the load distribution of the target distributed power source.

[0099] In some embodiments, the balanced scheduling and distribution of the load of each power source node in the target distributed power source based on the load balancing degree can be achieved by using the following steps:

[0100] If the load balance degree is greater than a preset balance threshold, each power distribution area is used as a power supply area for the load of the corresponding power node in the target distributed power source;

[0101] If the load balance degree is less than or equal to the preset balance threshold, the power distribution area is reallocated by lowering the preset error threshold until the load balance degree is less than or equal to the preset balance threshold.

[0102] In specific implementation, first, if the load balance degree is greater than the preset balance threshold, each power supply distribution area is used as the power supply area of ​​the corresponding power node load in the target distributed power source; then, if the load balance degree is less than or equal to the preset balance threshold, the error threshold is lowered to redistribute the power supply distribution area until the load balance degree is greater than the preset balance threshold. It should be noted that in this application, the balance threshold is an indicator for measuring the balance of distributed power load distribution. The larger the balance threshold, the lower the balance of distributed power load distribution. The balance threshold can be preset based on historical experience.

[0103] In the present application, the load balance degree of the target distributed power supply can be determined by all load stability, and then the load of each power supply node in the target distributed power supply can be balanced and dispatched based on the load balance degree; wherein, the load factor is determined according to the load difference sequence of all active load nodes, and the average utilization degree of the load nodes in the target distributed power supply (i.e., load factor) can be determined, which is convenient for subsequent evaluation of the load degree of each power supply node according to different real-time data, thereby improving the balance of the final dispatching and allocation; secondly, the power efficiency coefficient of each power supply node is used to determine multiple power supply distribution areas by using the load factor set, which can be used to distribute the load in the target distributed power supply to the target distributed power supply. The load performance of the load node is combined with the conversion performance of the power supply node, so as to make a more balanced and effective division of the power supply area, so as to facilitate the subsequent allocation of more accurate power supply nodes to each load node for power supply (that is, each power supply node corresponds to a power supply distribution area, and each distribution area contains multiple load nodes); then, the average utilization degree of the load nodes in the target distributed power supply is combined with the uncertainty of the load nodes to obtain the load stability of each power supply distribution area (that is, load stability); in summary, the present application can realize the balanced scheduling and distribution of distributed power supply loads, thereby improving the load balancing degree of the distributed power supply control system in load distribution.

[0104] In addition, in another aspect of the present application, in some embodiments, the present application provides a distributed power supply control system, which further includes a control unit, referring to Figure 4 , which is a schematic diagram of exemplary hardware and / or software of a control unit according to some embodiments of the present application. The control unit includes: an acquisition module 201, a processing module 202, and an execution module 203, which are described as follows:

[0105] Acquisition module 201, in this application, acquisition module 201 is mainly used to obtain the historical power consumption record of each load node in the target distributed power source, and then obtain the historical power consumption data;

[0106] Processing module 202, in this application, is used to divide all load nodes into active load nodes and reactive load nodes based on the historical power consumption data, and then determine a load difference sequence based on all active load nodes, and determine the load factor of the target distributed power source through the load difference sequence and the power factor of each reactive load node;

[0107] It should be noted that the processing module 202 in the present application is further configured to obtain a historical power generation record of each power node in the target distributed power source, thereby obtaining historical power generation data, determine a power efficiency coefficient of each power node based on the historical power generation data, and then use all the power efficiency coefficients and the load factor to divide the power supply area of ​​the target distributed power source into multiple power distribution areas;

[0108] In addition, the processing module 202 in the present application is further configured to determine the power load entropy of each power distribution area, and perform stability verification on the load degree of each power distribution area in the target distributed power source using all the power load entropies and the load factor to obtain the load stability of each power distribution area;

[0109] The execution module 203 in this application is mainly used to determine the load balance of the target distributed power supply through all load stability, and to perform balanced scheduling and distribution of the load of each power supply node in the target distributed power supply based on the load balance.

[0110] The above describes in detail the examples of the distributed power supply control system and method provided by the embodiments of the present application. It can be understood that, in order to realize the above functions, the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0111] In some embodiments, the present application also provides a computer device, which includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned distributed power supply control method.

[0112] In some embodiments, reference Figure 5, the dotted line in the figure indicates that the unit or module is optional, and the figure is a structural diagram of a computer device for implementing a distributed power supply control method according to an embodiment of the present application. The distributed power supply control method described in the above embodiment can be Figure 5 The computer device shown in the figure is implemented, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device can be a terminal device, a server or a chip.

[0113] The processor 301 may be a general-purpose processor or a dedicated processor. For example, the processor 301 may be a central processing unit (CPU), which may be used to control the computer device, execute software programs, and process data from the software programs. The computer device may also include a communication unit 305 for inputting (receiving) and outputting (transmitting) signals.

[0114] For example, the computer device may be a chip, the communication unit 305 may be an input and / or output circuit of the chip, or the communication unit 305 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other device.

[0115] For another example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0116] The computer device may include one or more memories 302, on which a program 304 is stored. The program 304 can be executed by the processor 301 to generate instructions 303, so that the processor 301 executes the method described in the above method embodiment according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read data stored in the memory 302. The data can be stored at the same storage address as the program 304, or at a different storage address from the program 304.

[0117] The processor 301 and the memory 302 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of a terminal device.

[0118] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0119] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned distributed power supply control method when executing.

[0121] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0122] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A distributed power supply control method, characterized in that: The steps include: Obtain the historical power consumption records of each load node in the target distributed power source, and then obtain the historical power consumption data; Based on the historical power consumption data, all load nodes are divided into active load nodes and reactive load nodes, and then a load difference sequence is determined according to all active load nodes, and a load factor of the target distributed power source is determined by the load difference sequence and the power factor of each reactive load node; Obtaining historical power generation records of each power node in the target distributed power source to obtain historical power generation data, determining a power efficiency coefficient of each power node based on the historical power generation data, and then dividing the power supply area of ​​the target distributed power source into multiple power distribution areas using all the power efficiency coefficients and the load factor; Determine the power load entropy of each power distribution area, perform stability verification on the load degree of each power distribution area in the target distributed power source using all the power load entropies and the load factor, and obtain the load stability of each power distribution area; Determining the load balance of the target distributed power source through all load stability, and performing balanced scheduling and distribution of the load of each power source node in the target distributed power source based on the load balance; Among them, the power load entropy is an indicator to measure the uncertainty of the load change of the power system. For each power distribution area, the data difference value and the interval difference value of each power distribution area are obtained, and the ratio of the data difference value to the interval difference value is used as the load value. The load value of each power distribution area can be obtained in the above way. For each power distribution area, the frequency of the load value of the power distribution area in all load values ​​is used as the load frequency, and the product of the load frequency and the natural logarithm of the load frequency is used as the power load entropy. The power load entropy of each power distribution area can be obtained in the above way.

2. The method according to claim 1, wherein Determining the load difference sequence based on all active load nodes specifically includes: For each active load node, obtaining a historical power consumption record of the active load node from the historical power consumption data; Determine the peak-to-valley difference value of the active load node through the historical power consumption record, and then obtain the peak-to-valley difference value of each active load node; The load difference sequence is determined based on all peak-to-valley difference values.

3. The method according to claim 1, wherein Determining the load factor of the target distributed power source by using the load difference sequence and the power factor of each reactive load node specifically includes: For each load node, if the load node is a reactive load node, determining the load amount corresponding to the load node by using the power factor of the reactive load node and the load difference sequence; If the load node is an active load node, obtaining the peak-to-valley difference value of the load node in the load difference sequence, determining the load amount corresponding to the load node by using the peak-to-valley difference value and all power factors, and then obtaining the load amount corresponding to each load node; The load factor of the target distributed power source is determined according to all load amounts.

4. The method according to claim 1, wherein Determining the power efficiency coefficient of each power node based on the historical power generation data specifically includes: For each power supply node, obtaining a historical power generation record of the power supply node from the historical power generation data; Determining the energy loss rate of the power node through the historical power generation record; Obtaining the power load degree of the power node from the historical power generation record; The power efficiency coefficient of the power supply node is determined according to the energy loss rate and the power load degree, thereby obtaining the power efficiency coefficient of each power supply node.

5. The method according to claim 1, wherein Using all the power efficiency coefficients and the load factors to divide the power supply area of ​​the target distributed power source into a plurality of power distribution areas specifically includes: For each power supply node, a stable power supply value is determined according to the power efficiency coefficient of the power supply node; Determining a stable power supply interval of the power supply node according to the stable power supply value and the power supply threshold of the power supply node, thereby obtaining a stable power supply interval of each power supply node; Determining a load profile using all load quantities in the load factor; The load distribution diagram is divided into a plurality of power distribution areas based on respective stable power supply intervals.

6. The method according to claim 1, wherein Performing balanced scheduling and distribution of the load of each power supply node in the target distributed power supply based on the load balancing degree specifically includes: If the load balance degree is greater than a preset balance threshold, each power distribution area is used as a power supply area for the load of the corresponding power node in the target distributed power source; If the load balance degree is less than or equal to the preset balance threshold, the power distribution area is reallocated by lowering the preset error threshold until the load balance degree is less than or equal to the preset balance threshold.

7. The method according to claim 1, wherein The target distributed power source is a wind turbine.

8. A distributed power supply control system, which adopts the method according to any one of claims 1 to 7 to control distributed power supply, the distributed power supply control system comprising a control unit, characterized in that: The control unit comprises: An acquisition module is used to obtain the historical power consumption records of each load node in the target distributed power source, and then obtain the historical power consumption data; a processing module, configured to divide all load nodes into active load nodes and reactive load nodes based on the historical power consumption data, further determine a load difference sequence based on all active load nodes, and determine a load factor of the target distributed power source using the load difference sequence and a power factor of each reactive load node; The processing module is further configured to obtain historical power generation records of each power node in the target distributed power source, thereby obtaining historical power generation data, determine the power efficiency coefficient of each power node based on the historical power generation data, and then use all the power efficiency coefficients and the load factor to divide the power supply area of ​​the target distributed power source into multiple power distribution areas; The processing module is further configured to determine the power load entropy of each power distribution area, and perform stability verification on the load degree of each power distribution area in the target distributed power source using all the power load entropies and the load factor to obtain the load stability of each power distribution area; An execution module is configured to determine a load balance degree of the target distributed power source through all load stability degrees, and perform balanced scheduling and distribution of the load of each power source node in the target distributed power source based on the load balance degree.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the distributed power supply control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions or codes, and when the instructions or codes are executed on a computer, the computer implements the distributed power supply control method according to any one of claims 1 to 7.

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