High-energy-efficiency power management system

Abstract

The invention discloses a high-energy-efficiency power management system which comprises an information receiving module, a strategy control module, a power module and an adaptive module. The information receiving module is used for collecting load power utilization state information and power supply state information of the power supply module, and transmitting the collected state information to the strategy control module; the strategy control module is used for establishing a strategy model according to the collected state information, and the strategy model outputs control information to control the operation state of the power supply module; the power supply module is used for receiving external power supply and distributing electric energy according to load requirements and state requirements; and the adaptation module acquires operation state information of the power supply module and the load, forms a data matrix by using the state information and time information, establishes a strategy model by using the time data matrix, and outputs an optimal power supply output strategy through the model, thereby achieving the effect of improving the energy efficiency. The high-energy-efficiency power management system provided by the invention has the effect of optimizing the energy efficiency of the power supply.

Description

Technical Field

[0001] The present invention relates to the field of power management, and in particular to a high energy efficiency power management system. Background Art

[0002] With the popularization of power systems in various industries and the complexity of their functions, power management has become a key technology to improve equipment performance and extend power life. High-efficiency power management systems can not only optimize energy supply efficiency and reduce energy consumption, but also improve safety to a certain extent. Summary of the invention

[0003] In view of the above problems, a high energy efficiency power management system is now provided to solve the problems existing in the prior art.

[0004] The specific technical solutions are as follows:

[0005] A high-efficiency power management system, comprising an information receiving module, a strategy control module, a power module and an adapter module;

[0006] The information receiving module is used to collect the load power consumption status information and the power supply status information of the power supply module, and transmit the collected status information to the strategy control module;

[0007] The strategy control module is used to establish a strategy model according to the collected status information, and the strategy model outputs control information to control the operating status of the power module;

[0008] The power module is used to receive external power supply and distribute electric energy according to load requirements and state requirements;

[0009] The adapter module is used to receive the electric energy distributed by the power module and convert it into a state corresponding to the load demand.

[0010] The above-mentioned high-efficiency power management system also has such a feature that the information receiving module includes a self-information receiving module and an external information receiving module;

[0011] The self-information receiving module is used to collect the status information of the power module itself, and pack the time information corresponding to the status information into a data packet and send it to the strategy control module;

[0012] The external information receiving module is used to collect status information of the load under power usage status, and pack the time information corresponding to the status information into a data packet and send it to the policy control module.

[0013] The above-mentioned high-efficiency power management system also has the following characteristics: the policy control module includes a data processing module, a policy model and a model update module;

[0014] The data processing module is used to receive data packets, unpack the data packets, and standardize the data obtained by unpacking to obtain standardized data;

[0015] The strategy model is used to establish a corresponding strategy model according to a number of standardized data; the corresponding strategy model outputs a control strategy to the power module to adjust its operation strategy;

[0016] The model updating module is used to control the strategy model to be retrained regularly according to new data packets to cope with the state change of the load.

[0017] The above-mentioned high-efficiency power management system also has the following characteristics: the data processing module includes re-collection, standardization and feature construction;

[0018] In the re-collection, when building the model, the frequency of data collection is high to increase the speed of model building. After the model is built, the collection frequency is reduced and the mean is calculated;

[0019] The standardization is to perform standardization processing on the unpacked data so that different state characteristics are within a related range;

[0020] The feature construction constructs a time series feature matrix for the input model.

[0021] The above-mentioned high-efficiency power management system also has the following characteristics: the strategy model will output a power module safety risk valuation at the corresponding time based on the input power module status data; the strategy model will also output a load safety risk valuation at the corresponding time based on the input load status data; when the power module safety risk valuation exceeds a threshold, the power module gradually reduces the output according to the degree of excess and issues a power safety risk alarm to the outside; when the load safety risk valuation exceeds the threshold, the power module gradually reduces the power distribution of the corresponding load according to the degree of excess and issues a load safety risk alarm.

[0022] The above-mentioned high-efficiency power management system also has the following feature: the data preprocessing module performs a sliding window operation on the time series data to generate a feature vector that is input into the prediction model module.

[0023] In summary, the beneficial effects of this scheme are:

[0024] In the high-efficiency power management system provided by the present invention, the operating status information of the power module and the load is collected, and the status information and time information are formed into a data matrix, and a strategy model is established using the time data matrix, and the optimal power output strategy is output through the model to achieve the effect of improving energy efficiency. The high-efficiency power management system provided by the present invention has the effect of optimizing the energy efficiency of the power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a structural block diagram of the high energy efficiency power management system recorded in the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0028] The present invention will be further described below in conjunction with specific embodiments, but the present invention is not limited thereto.

[0029] In the accompanying drawings, Figure 1 The structural block diagram of the high energy efficiency power management system recorded in the present invention is as follows: Figure 1 As shown, the energy-efficient power management system provided in this embodiment includes an information receiving module, a policy control module, a power module and an adaptation module;

[0030] An information receiving module is used to collect the load power consumption status information and the power supply status information of the power supply module, and transmit the collected status information to the strategy control module;

[0031] A strategy control module is used to establish a strategy model according to the collected status information, and the strategy model outputs control information to control the operating status of the power module;

[0032] A power module is used to receive external power supply and distribute power according to load requirements and status requirements;

[0033] The adapter module is used to receive the electric energy distributed by the power module and convert it into a state corresponding to the load demand.

[0034] It should be noted that one power module corresponds to multiple loads, and the power module distributes power to the multiple loads based on the load requirements and the power module's own status.

[0035] In the above embodiment, the information receiving module includes a self-information receiving module and an external information receiving module;

[0036] The self-information receiving module is used to collect the status information of the power module itself, and pack the time information corresponding to the status information into a data packet and send it to the strategy control module;

[0037] The external information receiving module is used to collect the state information of the load under the power consumption state, and pack the time information corresponding to the state information into a data packet and send it to the policy control module.

[0038] In the above embodiment, the policy control module includes a data processing module, a policy model and a model updating module;

[0039] The data processing module is used to receive data packets, unpack the data packets, and standardize the data obtained by unpacking to obtain standardized data;

[0040] A strategy model is used to establish a corresponding strategy model according to a number of standardized data; the corresponding strategy model outputs a control strategy to the power module to adjust its operation strategy;

[0041] The model update module is used to control the policy model to be retrained regularly based on new data packets to cope with the state changes of the load.

[0042] In the above embodiment, the data processing module includes re-collection, standardization and feature construction;

[0043] Re-collection: When building a model, the frequency of data collection is high to increase the speed of model building. After the model is built, the collection frequency is reduced and its mean is calculated;

[0044] Standardization: standardize the unpacked data so that different state features are within a related range;

[0045] Feature Construction builds the time series feature matrix for input to the model.

[0046] In the above embodiment, the strategy model will output the power module safety risk valuation at the corresponding time based on the input power module status data. The strategy model will also output the load safety risk valuation at the corresponding time based on the input load status data. When the power module safety risk valuation exceeds the threshold, the power module gradually reduces the output according to the degree of excess and issues a power safety risk alarm to the outside. When the load safety risk valuation exceeds the threshold, the power module gradually reduces the power distribution of the corresponding load according to the degree of excess and issues a load safety risk alarm.

[0047] It should be noted that when the strategy model is established, a data set is established and the data set is divided into a training set, a validation set and a test set, where the training set accounts for fifty percent of the data set, the validation set accounts for twenty percent of the data set, and the test set accounts for thirty percent of the data set.

[0048] In the above embodiment, the data preprocessing module performs a sliding window operation on the time series data to generate a feature vector that is input into the prediction model module.

[0049] It should be noted that the strategy model will periodically output a trial strategy, which will adjust the load or power module to exceed the current operating state while ensuring safety, in order to test the current limits of the power module and the load, and the current limits must be less than the rated limits.

[0050] Working principle: The operating status information of the power module and the status information of the load are collected through the self-information collection module and the external information collection module respectively. Since the number of loads is multiple, the number of external information collection modules corresponds to the number of loads one by one. The status information of all power modules and the status information of the loads in one cycle are collected into a data set. When the initial model is established, the initial model is established with reference to the existing data sets of the same power module and the same load. The initial model outputs the initial control strategy. Based on the initial control strategy, the status information of the power module and the load is used as the periodic update data of the initial model to keep the control strategy output by the strategy model most consistent with the corresponding system.

[0051] The above are only preferred embodiments of the present invention, and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the contents of the specification of the present invention should be included in the protection scope of the present invention.

Claims

1. A high energy efficiency power management system, characterized in that: It includes an information receiving module, a policy control module, a power supply module and an adapter module; The information receiving module is used to collect the load power consumption status information and the power supply status information of the power supply module, and transmit the collected status information to the strategy control module; The strategy control module is used to establish a strategy model according to the collected status information, and the strategy model outputs control information to control the operating status of the power module; The power module is used to receive external power supply and distribute electric energy according to load requirements and state requirements; The adapter module is used to receive the electric energy distributed by the power module and convert it into a state corresponding to the load demand.

2. The high energy efficiency power management system according to claim 1, characterized in that: The information receiving module includes a self-information receiving module and an external information receiving module; The self-information receiving module is used to collect the status information of the power module itself, and pack the time information corresponding to the status information into a data packet and send it to the strategy control module; The external information receiving module is used to collect status information of the load under power usage status, and pack the time information corresponding to the status information into a data packet and send it to the policy control module.

3. The high energy efficiency power management system according to claim 1, characterized in that: The policy control module includes a data processing module, a policy model and a model updating module; The data processing module is used to receive data packets, unpack the data packets, and standardize the unpacked data; Get standardized data; The strategy model is used to establish a corresponding strategy model according to a number of standardized data; the corresponding strategy model outputs a control strategy to the power module to adjust its operation strategy; The model updating module is used to control the strategy model to be retrained regularly according to new data packets to cope with the state change of the load.

4. The high energy efficiency power management system according to claim 3, characterized in that: The data processing module includes re-collection, standardization and feature construction; In the re-collection, when building the model, the frequency of data collection is high to increase the speed of model building. After the model is built, the collection frequency is reduced and the mean is calculated; The standardization is to perform standardization processing on the unpacked data so that different state characteristics are within a related range; The feature construction constructs a time series feature matrix for the input model.

5. The high energy efficiency power management system according to claim 4, characterized in that: The strategy model will output a power module safety risk valuation at a corresponding time based on the input power module status data. The strategy model will also output a load safety risk valuation at a corresponding time based on the input load status data. When the power module safety risk valuation exceeds a threshold, the power module gradually reduces the output according to the degree of excess and issues a power safety risk alarm. When the load safety risk valuation exceeds the threshold, the power module gradually reduces the power distribution of the corresponding load according to the degree of excess and issues a load safety risk alarm.

6. A high energy efficiency power management system according to claim 4 or 5, characterized in that: The data preprocessing module performs a sliding window operation on the time series data to generate a feature vector that is input into the prediction model module.

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