Power supply energy consumption dynamic analysis method and system based on energy efficiency optimization control

Abstract

The invention discloses a power supply energy consumption dynamic analysis method and system based on energy efficiency optimization control, and relates to the technical field of energy management, and the method comprises the steps: forming an energy consumption set; forming an energy consumption topology architecture of an energy consumption mode; forming an energy consumption mode identification mechanism, and obtaining a target energy consumption mode of power supply operation; calculating a power supply actual distribution condition of the energy consumption topology architecture of the target energy consumption mode; analyzing to obtain a load distribution condition of the energy consumption topology architecture of the target energy consumption mode; based on the actual power distribution condition and the load distribution condition, invalid power consumption is identified, and an energy consumption optimizable point is obtained. Through forming an energy consumption set and forming an identification mechanism of an energy consumption mode, a power supply actual distribution condition and a load distribution condition are obtained, an energy consumption optimizable point is obtained, and an effective conversion power and a to-be-converted power of the energy consumption optimizable point are estimated, so that a path with an energy consumption conversion problem can be found through comparison of the two.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and more particularly to a method and system for dynamic analysis of power consumption based on energy efficiency optimization control. Background Art

[0002] Dynamic analysis of power consumption refers to the process of real-time monitoring, recording, and analyzing the power consumption of electronic devices or systems under different operating conditions. This analysis is crucial for optimizing energy efficiency, extending battery life, and reducing operating costs.

[0003] When performing energy efficiency optimization, accurate analysis of power consumption in the power supply is very important. The power supply operates in different modes under different conditions, which can interfere with the analysis. However, there are many electronic components in the power supply design, and the connection relationships between the electronic components are complex. It is difficult to determine the conversion of electrical energy in the electronic components. Therefore, it is difficult to determine the location where there is room for optimization, and it is difficult to perform targeted energy efficiency optimization based on the results of power consumption analysis. Summary of the Invention

[0004] To solve the above technical problems, a method and system for dynamic analysis of power consumption based on energy efficiency optimization control are provided. The present technical solution solves the problems raised in the above background art.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for dynamic analysis of power consumption based on energy efficiency optimization control, comprising: Obtaining at least one power consumption mode of the power supply and at least one energy consumption location of the power supply; Summarizing the energy consumption locations involved in the power consumption mode to form an energy consumption set; Based on the energy consumption set, forming an energy consumption topology architecture of the power consumption mode; Forming an identification mechanism for the power consumption mode, obtaining real-time data of the power supply operation, and using the identification mechanism for the power consumption mode to identify the real-time data to obtain the target power consumption mode of the power supply operation; Calculating the actual power distribution of the energy consumption topology architecture of the target power consumption mode; Analyzing the load distribution of the energy consumption topology architecture of the target power consumption mode; Based on the actual power distribution and the load distribution, identifying the ineffective power consumption to obtain the power consumption optimization points.

[0006] Preferably, the step of summarizing the energy consumption locations involved in the power consumption mode to form an energy consumption set includes the following steps: The energy consumption locations are the locations of the filter, varistor, rectifier circuit, switching topology, power device, PWM controller, feedback loop, auxiliary power supply, output filtering device, and voltage stabilization and protection device in the power supply; Under the condition that the operating mode of the power supply is the energy consumption mode, measure the voltage difference across the energy consumption locations, and summarize the energy consumption locations with a non-zero voltage difference across both ends as the energy consumption locations involved in the energy consumption mode.

[0007] Preferably, the steps for forming the energy consumption topology architecture of the energy consumption mode based on the energy consumption set are as follows: The topology formation mechanism is: when two energy consumption locations are directly connected by a wire in the power supply, connect a line segment between the two energy consumption locations; otherwise, do not perform any processing; According to the topology formation mechanism, connect the line segments of the energy consumption locations in the energy consumption set, and obtain the time taken for the current to reach the energy consumption location according to the operating condition of the current in the corresponding energy consumption mode of the energy consumption set, as the characteristic time; Summarize at least one node of the energy consumption location to form a summarized node set. The node is the energy consumption location connected to the line segment of the energy consumption location, and the energy consumption location corresponds to the formed node set; When the characteristic time of the node is greater than the characteristic time of the energy consumption location, delete the node from the node set; After the deletion is completed, summarize the energy consumption location and its corresponding node set as the energy consumption topology architecture of the energy consumption mode.

[0008] Preferably, the steps for forming the recognition mechanism of the energy consumption mode are as follows: Obtain at least one sample operation data of the power supply in the energy consumption mode, and extract the sample values of the energy consumption locations from the sample operation data; In the function database, obtain at least one mapping function, and the independent variable of the mapping function is composed of all energy consumption locations; Equally divide the interval (0, 1) to obtain at least one recognition point; Form at least one mapping weight group, which is composed of at least one mapping weight. The mapping weight is a random one in the recognition points, and the number of mapping weights in the mapping weight group is the same as the number of mapping functions; Multiply the mapping function by the mapping weight in the mapping weight group in sequence to obtain the mapping combination function; Substitute the sample values of the energy consumption locations in the energy consumption set in the energy consumption mode in the single sample operation data into the mapping combination function and set the remaining independent variables of the mapping combination function to 0 to obtain the result value; Form a judgment interval for the energy consumption mode by using the maximum and minimum values of at least one result value in the energy consumption mode; Use the mapping combination function in which the judgment intervals do not overlap with each other as the target mapping combination function.

[0009] Preferably, the identification of real-time data to obtain the target energy consumption mode of the power supply operation includes the following steps: Identify from the real-time data to obtain the actual value of the energy consumption location; Substitute the actual value of the energy consumption location in the energy consumption set into the target mapping combination function and set the remaining independent variables of the target mapping combination function to 0 to obtain the basic value; Use the energy consumption mode in which the judgment interval contains the basic value as the target energy consumption mode.

[0010] Preferably, the calculation of the actual power supply distribution of the energy consumption topology architecture of the target energy consumption mode includes the following steps: Use the energy consumption location in the energy consumption set corresponding to the target energy consumption mode as the target energy consumption location, and use the node set corresponding to the target energy consumption location as the target node set; Statistically analyze at least one instantaneous power value of the target energy consumption location in the target energy consumption mode, fit the instantaneous power value with respect to time to obtain a power fitting function, and the domain of the power fitting function is a preset time period, and the preset time period is any time range of the power supply operation in the target energy consumption mode; Take the derivative of the power fitting function to obtain a power derivative function; Calculate the target coefficient group of the target node set. The target coefficient group is composed of at least one target coefficient, and satisfies that the result of multiplying the power derivative function corresponding to the node in the target node set by the target coefficient in the target coefficient group in sequence is consistent with the power derivative function of the target energy consumption location corresponding to the target node set. The nodes in the target node set are arranged in any fixed order; Pair the nodes in the target node set with the target energy consumption location corresponding to the target node set to obtain a target energy consumption location group, arrange the target energy consumption location group according to the arrangement order of the nodes in the target node set, and sequentially assign the target coefficients of the target coefficient group to the target energy consumption location group to obtain the actual power supply distribution.

[0011] Preferably, the analysis of the load distribution of the energy consumption topology architecture of the target energy consumption mode includes the following steps: Accumulate the reciprocals of the resistances of the target energy consumption locations corresponding to all target node sets containing nodes to obtain the reciprocal of the comprehensive resistance of the nodes; Divide the reciprocal of the resistance value of the target energy consumption location in the target energy consumption location group by the reciprocal of the comprehensive resistance value of the nodes in the target energy consumption location group to obtain a load factor, and pair the load factor with the target energy consumption location group to obtain the load distribution situation.

[0012] Preferably, the identification of ineffective power consumption to obtain energy consumption optimization points includes the following steps: Multiply the instantaneous power value of the nodes in the target energy consumption location group by the target coefficient corresponding to the target energy consumption location group to obtain the effective conversion power of the target energy consumption location group; Multiply the instantaneous power value of the nodes in the target energy consumption location group by the load factor corresponding to the target energy consumption location group to obtain the power to be converted of the target energy consumption location group; Subtract the effective conversion power from the power to be converted to obtain the ineffective power consumption; Take the connection paths of the nodes and target energy consumption locations in the target energy consumption location group with ineffective power consumption greater than 0 as the energy consumption optimization points.

[0013] A power supply energy consumption dynamic analysis system based on energy efficiency optimization control is used to implement the above-mentioned power supply energy consumption dynamic analysis method based on energy efficiency optimization control, and includes: A data acquisition module, which acquires at least one energy consumption mode of the power supply energy consumption and at least one energy consumption location of the power supply energy consumption, where the energy consumption mode is a standby power consumption mode, a light load operation power consumption mode, or a full load operation power consumption mode; A data pairing module, which summarizes the energy consumption locations involved in the energy consumption mode to form an energy consumption set; An architecture generation module, which forms an energy consumption topology architecture of the energy consumption mode based on the energy consumption set; A mode recognition module, which forms an identification mechanism for the energy consumption mode, acquires real-time data of the power supply operation, and uses the identification mechanism of the energy consumption mode to identify the real-time data to obtain the target energy consumption mode of the power supply operation; An efficiency calculation module, which calculates the actual power supply distribution situation of the energy consumption topology architecture of the target energy consumption mode; A load analysis module, which analyzes and obtains the load distribution situation of the energy consumption topology architecture of the target energy consumption mode; An optimization identification module, which identifies ineffective power consumption based on the actual power supply distribution situation and the load distribution situation to obtain energy consumption optimization points.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: By forming an energy consumption set, forming an identification mechanism for energy consumption patterns, obtaining the actual power supply distribution and load distribution, and obtaining energy consumption optimization points, the energy consumption pattern of the power supply operation can be identified. Thus, in different situations, subsequent energy consumption analysis can be carried out according to the energy consumption pattern of the power supply operation, thereby improving the accuracy of the analysis. In addition, the hierarchical distribution of energy at the energy consumption location is estimated, and its effective conversion power and the power to be converted are estimated. Thus, by comparing the two, the path with problems in energy consumption conversion can be found, thereby ensuring the accuracy of the analysis results. Furthermore, subsequent optimization operations can be carried out according to the energy consumption optimization points obtained from the analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a schematic flowchart of a power supply energy consumption dynamic analysis method based on energy efficiency optimization control according to the present invention; Figure 2 is a schematic flowchart of summarizing the energy consumption locations involved in the energy consumption pattern to form an energy consumption set according to the present invention; Figure 3 is a schematic flowchart of forming an energy consumption topology architecture of the energy consumption pattern based on the energy consumption set according to the present invention; Figure 4 is a schematic flowchart of forming an identification mechanism for the energy consumption pattern according to the present invention; Figure 5 is a schematic flowchart of identifying real-time data to obtain the target energy consumption pattern of the power supply operation according to the present invention; Figure 6 is a schematic flowchart of calculating the actual power supply distribution of the energy consumption topology architecture of the target energy consumption pattern according to the present invention; Figure 7 is a schematic flowchart of analyzing the load distribution of the energy consumption topology architecture of the target energy consumption pattern according to the present invention; Figure 8 is a schematic flowchart of identifying the invalid power consumption to obtain the energy consumption optimization points according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0016] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0017] Referring to Figure 1 as shown, a power supply energy consumption dynamic analysis method based on energy efficiency optimization control includes: Obtaining at least one energy consumption pattern of the power supply energy consumption and obtaining at least one energy consumption location of the power supply energy consumption; Summarizing the energy consumption locations involved in the energy consumption pattern to form an energy consumption set; Based on the energy consumption set, an energy consumption topology architecture of the energy consumption pattern is formed; An identification mechanism for the energy consumption pattern is formed, real-time data of the power supply operation is obtained, and the real-time data is identified by using the identification mechanism for the energy consumption pattern to obtain the target energy consumption pattern of the power supply operation; Calculate the actual power distribution of the power supply of the energy consumption topology architecture of the target energy consumption pattern; Analyze and obtain the load distribution of the energy consumption topology architecture of the target energy consumption pattern; Based on the actual power distribution of the power supply and the load distribution, identify the invalid power consumption to obtain the energy consumption optimization points.

[0018] Generally, the energy consumption patterns are standby power consumption mode, light load operation power consumption mode or full load operation power consumption mode, but according to different power supply usage requirements, more intermediate modes may be added; Each energy consumption location is connected to multiple energy consumption locations. The electric energy of the energy consumption location is conducted from multiple energy consumption locations at the upper level. At the same time, the energy consumption locations at the upper level may conduct electric energy to multiple energy consumption locations. During measurement, only the instantaneous power value at the energy consumption location can be measured, but the instantaneous power value includes the comprehensive conduction situation of multiple energy consumption locations at the upper level. Therefore, through the instantaneous power value, only whether there is an abnormal energy consumption in general can be judged, but it cannot be accurate to between energy consumption locations and energy consumption locations. This results in insufficient pertinence of the optimization based on the analysis results. Therefore, a series of subsequent steps are set to determine the existing target energy consumption location group; Actually, according to the resistance distribution situation, the power to be converted of the target energy consumption location group can be determined. However, due to the possible aging of the target energy consumption location group, there will be a deviation in the actual effective conversion power. Once a deviation occurs, it will cause problems in the energy consumption of the entire power supply. Therefore, it is necessary to optimize the target energy consumption location group with deviation. Since the target energy consumption location group only involves nodes and target energy consumption locations, and the node itself is also a target energy consumption location, only for the purpose of preventing confusion, the names are distinguished. Therefore, the location of the existing problem can be accurately determined.

[0019] Refer to Figure 2 As shown, the steps for summarizing the energy consumption locations involved in the energy consumption pattern to form an energy consumption set are as follows: The energy consumption locations are the locations of filters, varistors, rectifier circuits, switching topologies, power devices, PWM controllers, feedback loops, auxiliary power supplies, output filtering devices, and voltage stabilization and protection devices in the power supply; Under the condition that the operating mode of the power supply is the energy consumption mode, measure the voltage difference across the energy consumption locations, and summarize the energy consumption locations with a non-zero voltage difference across them as the energy consumption locations involved in the energy consumption mode.

[0020] Refer to Figure 3 As shown, based on the energy consumption set, forming the energy consumption topology architecture of the energy consumption mode includes the following steps: The topology formation mechanism is as follows: When two energy consumption locations are directly connected by a wire in the power supply, connect a line segment between the two energy consumption locations; otherwise, do nothing. According to the topology formation mechanism, connect the line segments of the energy consumption locations in the energy consumption set, and obtain the time taken for the current to reach the energy consumption location according to the running condition of the current in the corresponding energy consumption mode of the energy consumption set, and use it as the characteristic time. Summarize at least one node of the energy consumption locations to form a summarized node set. The node is the energy consumption location connected to the line segment of the energy consumption location, and the energy consumption location corresponds to the formed node set. When the characteristic time of the node is greater than the characteristic time of the energy consumption location, delete the node from the node set. After the deletion is completed, summarize the energy consumption location and its corresponding node set as the energy consumption topology architecture of the energy consumption mode.

[0021] Here, the node is also an energy consumption location, but if the energy consumption location is used as the name, it is easy to cause confusion in the description, so it is regarded as a node. The nodes in the node set corresponding to the energy consumption location are actually the upper-level energy consumption locations that directly transmit electric energy to it. The reason is that the energy consumption locations directly connected to the energy consumption location either transmit electric energy to it or are transmitted electric energy by it. If it is transmitted electric energy by it, the corresponding characteristic time must be longer, and these nodes are all deleted.

[0022] Refer to Figure 4 As shown, forming the recognition mechanism of the energy consumption mode includes the following steps: Obtain at least one sample operation data of the power supply in the energy consumption mode, and extract the sample values of the energy consumption locations from the sample operation data. In the function database, obtain at least one mapping function, and the independent variable of the mapping function consists of all energy consumption locations. Equally divide the interval (0, 1) to obtain at least one recognition point. Form at least one mapping weight group, which consists of at least one mapping weight. The mapping weight is a random one in the recognition points, and the number of mapping weights in the mapping weight group is the same as the number of mapping functions. Multiply the mapping function by the mapping weights in the mapping weight group in sequence to obtain a mapping combined function; Substitute the sample values at the energy consumption positions in the energy consumption set in the energy consumption mode in the single-sample operation data into the mapping combined function and set the remaining independent variables of the mapping combined function to 0 to obtain a result value; Use the maximum and minimum values of at least one result value in the energy consumption mode to form a judgment interval for the energy consumption mode; Take the mapping combined functions with non-overlapping judgment intervals as the target mapping combined functions.

[0023] Here, after the sample values in different energy consumption modes are input into the target mapping combined function, the value ranges generated by them do not overlap with each other. Therefore, the target mapping combined function can be used to identify the energy consumption mode. However, the difficulty here lies in forming the target mapping combined function. From the function database, at least one mapping function can be obtained, but the output results of these mapping functions for the sample values in different energy consumption modes may overlap. Therefore, the required target mapping combined function cannot be directly obtained from these mapping functions. Thus, form the mapping combined function through the combination of their different weights, and select the required target mapping combined function from the mapping combined functions; It should also be noted that the independent variable of the mapping function is the data of all energy consumption positions, while in the energy consumption mode, only the values of the energy consumption positions in its corresponding energy consumption set are available, and no electric energy transmission occurs at the remaining energy consumption positions in the energy consumption mode. Therefore, set them to 0.

[0024] Refer to Figure 5 As shown, the steps for identifying the target energy consumption mode of the power supply operation from the real-time data are as follows: Identify from the real-time data to obtain the actual values of the energy consumption positions; Substitute the actual values of the energy consumption positions in the energy consumption set into the target mapping combined function and set the remaining independent variables of the target mapping combined function to 0 to obtain a basic value; Take the energy consumption mode whose judgment interval contains the basic value as the target energy consumption mode.

[0025] Refer to Figure 6 As shown, the steps for calculating the actual power distribution of the energy consumption topology structure of the target energy consumption mode are as follows: Take the energy consumption positions in the energy consumption set corresponding to the target energy consumption mode as the target energy consumption positions, and take the node set corresponding to the target energy consumption positions as the target node set; Statistically determine at least one instantaneous power value at the target energy consumption location in the target energy consumption mode, fit the instantaneous power value with respect to time to obtain a power fitting function, where the domain of the power fitting function is a preset time period, and the preset time period is any time range during which the power supply operates in the target energy consumption mode; Differentiate the power fitting function to obtain a power derivative function; Calculate the target coefficient group for the target node set. The target coefficient group consists of at least one target coefficient, and satisfies that the result of sequentially multiplying the power derivative functions corresponding to the nodes in the target node set by the target coefficients in the target coefficient group is consistent with the power derivative function of the target energy consumption location corresponding to the target node set. The nodes in the target node set are arranged in any fixed order; Pair the nodes in the target node set with the target energy consumption locations corresponding to the target node set to obtain a target energy consumption location group. Arrange the target energy consumption location group according to the arrangement order of the nodes in the target node set, and sequentially assign the target coefficients of the target coefficient group to the target energy consumption location group to obtain the actual power supply distribution situation.

[0026] The electrical energy of the nodes in the target node set is distributed to the corresponding target energy consumption location group in a fixed proportion. Since there will be no significant structural changes in the circuit in a short period of time, the electrical energy of the target energy consumption location group is the sum generated by the distribution of the nodes in the target node set. Therefore, the change rate of the part of the electrical energy of the target energy consumption location group allocated by the nodes in the target node set is consistent with the change rate of the electrical energy of the nodes. Therefore, it is necessary to find a target coefficient group that satisfies that the result of sequentially multiplying the power derivative functions corresponding to the nodes in the target node set by the target coefficients in the target coefficient group is consistent with the power derivative function of the target energy consumption location corresponding to the target node set. According to the conditions satisfied by the target coefficient group, multiple times can be taken for the power derivative function to obtain multiple equations, where the unknowns in the equations are the target coefficients, and then the target coefficients can be solved.

[0027] Refer to Figure 7 As shown, analyzing the load distribution situation of the energy consumption topology structure of the target energy consumption mode includes the following steps: Accumulate the reciprocals of the resistances of the target energy consumption locations corresponding to all target node sets containing nodes to obtain the reciprocal of the comprehensive resistance of the nodes; Divide the reciprocal of the resistance of the target energy consumption location in the target energy consumption location group by the reciprocal of the comprehensive resistance of the nodes in the target energy consumption location group to obtain a load coefficient. Pair the load coefficient with the target energy consumption location group to obtain the load distribution situation.

[0028] Since the electrical energy of a node is distributed to multiple directly connected target energy consumption locations at its lower level, and the directly connected target energy consumption locations at its lower level can be approximately regarded as being in parallel, and under parallel conditions, the power is proportional to the reciprocal of the resistance value. Therefore, a load factor is formed according to the reciprocal of the resistance value to determine the proportion of the electrical energy of the node distributed to the target energy consumption location. Here, the target energy consumption location group includes the node and the target energy consumption location. Therefore, a load factor is matched for each target energy consumption location group.

[0029] Refer to Figure 8 As shown, the identification of ineffective power consumption is carried out, and the energy consumption optimization points are obtained through the following steps: Multiply the instantaneous power value of the node in the target energy consumption location group by the target coefficient corresponding to the target energy consumption location group to obtain the effective conversion power of the target energy consumption location group; Multiply the instantaneous power value of the node in the target energy consumption location group by the load factor corresponding to the target energy consumption location group to obtain the power that should be converted of the target energy consumption location group; Subtract the effective conversion power from the power that should be converted to obtain the ineffective power consumption; Take the connection path between the node and the target energy consumption location in the target energy consumption location group with ineffective power consumption greater than 0 as the energy consumption optimization point.

[0030] When the ineffective power consumption is greater than 0, it means that part of the power that should be converted does not take effect due to problems existing in the link between the node and the target energy consumption location in the target energy consumption location group. Therefore, it needs to be optimized.

[0031] A power supply energy consumption dynamic analysis system based on energy efficiency optimization control is used to implement the above-mentioned power supply energy consumption dynamic analysis method based on energy efficiency optimization control, and includes: A data acquisition module, which acquires at least one energy consumption mode of the power supply energy consumption and at least one energy consumption location of the power supply energy consumption. Among them, the energy consumption mode is a standby power consumption mode, a light load operation power consumption mode or a full load operation power consumption mode; A data pairing module, which summarizes the energy consumption locations involved in the energy consumption mode to form an energy consumption set; An architecture generation module, which forms an energy consumption topological architecture of the energy consumption mode based on the energy consumption set; A mode recognition module, which forms an identification mechanism for the energy consumption mode, acquires real-time data of the power supply operation, and uses the identification mechanism of the energy consumption mode to identify the real-time data to obtain the target energy consumption mode of the power supply operation; An efficiency calculation module, which calculates the actual power distribution of the energy consumption topological architecture of the target energy consumption mode; A load analysis module that analyzes the load distribution of the energy consumption topology of the target energy consumption pattern. An optimization identification module that identifies invalid power consumption based on the actual power supply distribution and the load distribution to obtain energy consumption optimization points.

[0032] Furthermore, this solution also proposes a storage medium with a computer-readable program stored thereon. When the computer-readable program is called, it executes the above-mentioned dynamic power consumption analysis method for power supply based on energy efficiency optimization control.

[0033] It can be understood that the storage medium can be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid-state drive (SSD).

[0034] In summary, the advantages of the present invention are as follows: By forming an energy consumption set, forming an identification mechanism for energy consumption patterns, obtaining the actual power supply distribution and the load distribution, and obtaining energy consumption optimization points, the energy consumption patterns of power supply operation can be identified. Thus, in different situations, subsequent energy consumption analysis can be carried out according to the energy consumption patterns of power supply operation, thereby improving the accuracy of analysis. In addition, the hierarchical distribution of energy at the energy consumption location is estimated, and its effective conversion power and the power that should be converted are estimated. Thus, by comparing the two, the paths with problems in energy consumption conversion can be found, ensuring the accuracy of the analysis results. Furthermore, subsequent optimization operations can be carried out based on the energy consumption optimization points obtained from the analysis.

[0035] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A dynamic analysis method for power consumption based on energy efficiency optimization control, characterized in that, Including: Obtaining at least one energy consumption mode of the power supply energy consumption, and obtaining at least one energy consumption location of the power supply energy consumption; Summarizing the energy consumption locations involved in the energy consumption mode to form an energy consumption set; Based on the energy consumption set, forming an energy consumption topology architecture of the energy consumption mode; Forming an identification mechanism for the energy consumption mode, obtaining real-time data of the power supply operation, and using the identification mechanism of the energy consumption mode to identify the real-time data to obtain the target energy consumption mode of the power supply operation; Calculating the actual power supply allocation of the energy consumption topology architecture of the target energy consumption mode; Analyzing and obtaining the load allocation of the energy consumption topology architecture of the target energy consumption mode; Based on the actual power supply allocation and the load allocation, identifying the invalid power consumption to obtain the energy consumption optimization points.

2. The dynamic analysis method for power supply energy consumption based on energy efficiency optimization control according to claim 1, characterized in that The step of summarizing the energy consumption locations involved in the energy consumption mode to form an energy consumption set includes the following steps: The energy consumption locations are the locations of the filter, varistor, rectifier circuit, switch topology, power device, PWM controller, feedback loop, auxiliary power supply, output filtering device, and voltage stabilization and protection device in the power supply; Under the condition that the operation mode of the power supply is the energy consumption mode, measuring the voltage difference between both ends of the energy consumption location, and summarizing the energy consumption locations with a non-zero voltage difference between both ends as the energy consumption locations involved in the energy consumption mode.

3. A dynamic analysis method for power consumption based on energy efficiency optimization control according to claim 2, characterized in that The step of forming an energy consumption topology architecture of the energy consumption mode based on the energy consumption set includes the following steps: The topology formation mechanism is: when two energy consumption locations are directly connected by a wire in the power supply, a connecting line segment is made between the two energy consumption locations, otherwise, no processing is done; According to the topology formation mechanism, connecting the energy consumption locations in the energy consumption set with line segments, and obtaining the time taken for the current to reach the energy consumption location according to the operation of the current in the energy consumption mode corresponding to the energy consumption set, as the characteristic time; Summarizing at least one node of the energy consumption location to form a summarized node set, where the node is the energy consumption location connected to the line segment of the energy consumption location, and the energy consumption location corresponds to the formed node set; When the characteristic time of the node is greater than the characteristic time of the energy consumption location, the node is deleted from the node set; After the deletion is completed, summarizing the energy consumption location and its corresponding node set into the energy consumption topology architecture of the energy consumption mode.

4. A dynamic analysis method for power consumption based on energy efficiency optimization control according to claim 3, characterized in that The step of forming an identification mechanism for the energy consumption mode includes the following steps: Obtaining at least one sample operation data of the power supply in the energy consumption mode, and extracting the sample values of the energy consumption location from the sample operation data; In the function database, obtaining at least one mapping function, where the independent variable of the mapping function consists of all energy consumption locations; Equally spaced dividing the interval (0, 1) to obtain at least one identification point; Forming at least one mapping weight group, where the mapping weight group consists of at least one mapping weight, the mapping weight is a random one in the identification points, and the number of mapping weights in the mapping weight group is the same as the number of mapping functions; Multiplying the mapping function by the mapping weight in the mapping weight group in sequence to obtain the mapping combined function; Substitute the sample value of the energy consumption position in the energy consumption set in the single-sample operation data into the mapping combination function and set the remaining independent variables of the mapping combination function to 0 to obtain the result value; Use the maximum and minimum values of at least one result value in the energy consumption mode to form the judgment interval of the energy consumption mode; Take the mapping combination functions with non-overlapping judgment intervals as the target mapping combination functions.

5. A dynamic analysis method for power consumption based on energy efficiency optimization control according to claim 4, characterized in that The identification of the real-time data to obtain the target energy consumption mode of the power supply operation includes the following steps: Identify from the real-time data to obtain the actual value of the energy consumption position; Substitute the actual value of the energy consumption position in the energy consumption set into the target mapping combination function and set the remaining independent variables of the target mapping combination function to 0 to obtain the basic value; Take the energy consumption mode whose judgment interval contains the basic value as the target energy consumption mode.

6. The dynamic analysis method for power consumption based on energy efficiency optimization control according to claim 5, characterized in that The calculation of the actual power supply distribution of the energy consumption topology architecture of the target energy consumption mode includes the following steps: Take the energy consumption position in the energy consumption set corresponding to the target energy consumption mode as the target energy consumption position, and take the node set corresponding to the target energy consumption position as the target node set; Statistically analyze at least one instantaneous power value of the target energy consumption position in the target energy consumption mode, fit the instantaneous power value with respect to time to obtain the power fitting function, and the domain of the power fitting function is the preset time period, and the preset time period is any time range of the power supply operation in the target energy consumption mode; Take the derivative of the power fitting function to obtain the power derivative function; Calculate the target coefficient group of the target node set. The target coefficient group is composed of at least one target coefficient, and satisfies that the result of multiplying the power derivative function corresponding to the node in the target node set by the target coefficient in the target coefficient group in sequence is consistent with the power derivative function of the target energy consumption position corresponding to the target node set. The nodes in the target node set are arranged in any fixed order; Pair the nodes in the target node set with the target energy consumption position corresponding to the target node set to obtain the target energy consumption position group, arrange the target energy consumption position group according to the arrangement order of the nodes in the target node set, and sequentially assign the target coefficients of the target coefficient group to the target energy consumption position group to obtain the actual power supply distribution.

7. A dynamic analysis method for power supply energy consumption based on energy efficiency optimization control according to claim 6, characterized in that, The analysis to obtain the load distribution of the energy consumption topology architecture of the target energy consumption mode includes the following steps: Accumulate the reciprocals of the resistances of the target energy consumption positions corresponding to all target node sets containing nodes to obtain the reciprocal of the comprehensive resistance of the nodes; Divide the reciprocal of the resistance of the target energy consumption position in the target energy consumption position group by the reciprocal of the comprehensive resistance of the nodes in the target energy consumption position group to obtain the load coefficient, and pair the load coefficient with the target energy consumption position group to obtain the load distribution.

8. A dynamic analysis method for power supply energy consumption based on energy efficiency optimization control according to claim 7, characterized in that The identification of the invalid power consumption to obtain the energy consumption optimization points includes the following steps: Multiply the instantaneous power value of the nodes in the target energy consumption position group by the target coefficient corresponding to the target energy consumption position group to obtain the effective conversion power of the target energy consumption position group; Multiply the instantaneous power value of the nodes in the target energy consumption location group by the load factor corresponding to the target energy consumption location group to obtain the power to be converted for the target energy consumption location group; Subtract the effective conversion power from the power to be converted to obtain the ineffective power consumption; Take the nodes in the target energy consumption location group with ineffective power consumption greater than 0 and the connection paths to the target energy consumption locations as the energy consumption optimization points.

9. A dynamic power consumption analysis system based on energy efficiency optimization control is used to implement the dynamic power consumption analysis method of the power supply based on energy efficiency optimization control according to any one of claims 1-8, characterized in that, It includes: A data acquisition module that acquires at least one energy consumption mode of the power supply energy consumption and acquires at least one energy consumption location of the power supply energy consumption, where the energy consumption mode is a standby power consumption mode, a light load operation power consumption mode, or a full load operation power consumption mode; A data pairing module that summarizes the energy consumption locations involved in the energy consumption mode to form an energy consumption set; An architecture generation module that forms an energy consumption topology architecture of the energy consumption mode based on the energy consumption set; A mode recognition module that forms an identification mechanism for the energy consumption mode, acquires real-time data of the power supply operation, and uses the identification mechanism of the energy consumption mode to identify the real-time data to obtain the target energy consumption mode of the power supply operation; An efficiency calculation module that calculates the actual power distribution of the energy consumption topology architecture of the target energy consumption mode; A load analysis module that analyzes and obtains the load distribution of the energy consumption topology architecture of the target energy consumption mode; An optimization recognition module that, based on the actual power distribution and the load distribution, performs identification of ineffective power consumption to obtain energy consumption optimization points.

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