Device energy saver and method based on useless power rate electric energy recovery

Abstract

The invention discloses a device energy saver and method based on idle power rate electric energy recovery, and belongs to the field of intelligent electric power, and the method comprises the following steps: determining a classification result of loss points based on the loss conditions of electric equipment and an electric circuit; obtaining reactive power and residual current of the loss point based on the classification result of the loss point, and configuring a corresponding power-saving module for the loss point; and recovering the reactive power and the residual current, and adjusting the power-saving module based on the reactive power and the residual current.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent power technology, and in particular relates to an energy saver and method based on useless power recovery. Background Art

[0002] In the complex power consumption environment of large industrial parks, there are many types of power consumption equipment and lines intertwined. Due to the wide variety of equipment and the drastic changes in power load, power quality problems frequently occur. Especially in the power distribution process from high-voltage substations to various power consumption units, voltage fluctuations, harmonic interference, low power factor and other problems seriously affect the power consumption efficiency. In view of this situation, it is necessary to develop an intelligent power quality optimization system. The system should be able to monitor the voltage, current, power and other parameters of each node in the park in real time, and quickly respond to and handle the detected power quality problems. The key technical difficulty lies in how to achieve the coordinated cooperation and dynamic adjustment of various functional modules according to the complex and changeable power consumption environment. For example, when transient overvoltage is detected, how to coordinate the work of the voltage stabilization module and the filtering module to suppress voltage fluctuations and filter high-frequency interference. For example, when high-power equipment is started and stopped, how to quickly adjust the compensation parameters to avoid drastic fluctuations in the power factor. In addition, it is also necessary to consider how to maximize the energy saving effect while ensuring power quality and achieve overall optimization of power utilization efficiency. Summary of the invention

[0003] In order to solve the above technical problems, the present invention proposes an energy saver and method based on useless power recovery to solve the problems existing in the above prior art.

[0004] To achieve the above object, the present invention provides a method for recovering electric energy based on useless power, comprising:

[0005] Determine the classification results of loss points based on the loss of electrical equipment and power lines;

[0006] Based on the classification results of the loss points, the reactive power and residual current of the loss points are obtained, and a corresponding power saving module is configured for the loss points;

[0007] The reactive power and the residual current are recovered, and a power saving module is adjusted based on the reactive power and the residual current.

[0008] Optionally, the process of determining the classification result of the loss point includes:

[0009] Collect operating status data of electrical equipment and power lines;

[0010] Performing correlation analysis on the operating status data to obtain loss values ​​of loss points;

[0011] A clustering algorithm is used to analyze the loss values ​​of the loss points to determine the classification results of the loss points.

[0012] Optionally, the power saving module includes: a voltage stabilizing module, a buffer module, a compensation module, a filtering module and an internal circulation recovery and replenishment module.

[0013] Optionally, the process of adjusting the power saving module includes: starting the filtering module based on the voltage signal data in the circuit;

[0014] The process of optimizing and adjusting based on the filtering module includes:

[0015] Obtaining voltage signal data based on a voltage waveform in the circuit;

[0016] Performing spectrum analysis on the voltage signal data to obtain frequency components and amplitudes of the voltage signal;

[0017] When the high-frequency component of the frequency component exceeds a preset frequency threshold, it is determined that there is a transient surge;

[0018] The filtering module uses a low-pass filtering algorithm to filter out the high-frequency component to obtain a voltage waveform after filtering out transient surges;

[0019] Comparing the voltage waveform after filtering out transient surges with a preset standard sine waveform, calculating the similarity between the two, and determining the degree of distortion of the voltage waveform;

[0020] When the distortion degree of the voltage waveform exceeds a preset distortion threshold, a reactive power compensation algorithm is used to compensate the voltage waveform to obtain a compensated voltage signal;

[0021] The compensated voltage signal is converted into an analog signal to filter out transient surges and optimize the voltage waveform.

[0022] Optionally, the process of adjusting the power saving module further includes: adjusting the voltage stabilizing module based on the voltage in the circuit;

[0023] The process of optimizing and adjusting the voltage by the voltage stabilizing module includes:

[0024] When the voltage signal collected by the voltage sensor is not within the preset voltage threshold range, the voltage stabilization module is started;

[0025] The voltage stabilization module uses a PI control algorithm to smoothly regulate the voltage.

[0026] Optionally, the process of adjusting the power saving module further includes: dynamically adjusting parameters of each power saving module based on power load characteristics;

[0027] The process of adjusting the parameters of each power saving module based on the power load characteristics includes:

[0028] Obtain power load parameter information;

[0029] Calculate load characteristic parameters based on the power load parameter information;

[0030] Determine the inductive load based on the load characteristic parameters, and when the load is an inductive load, adjust the compensation capacitance parameter in the power saving module; when the load is a capacitive load, adjust the compensation inductance parameter in the power saving module;

[0031] Based on the compensation capacitor parameters and the compensation inductor parameters, reactive power on-site balanced compensation is achieved.

[0032] The present invention also provides an energy saver based on useless power recovery, comprising:

[0033] A data acquisition device, the data acquisition device is used to collect operating status data of electrical equipment and power lines in real time;

[0034] A cloud server, the cloud server is used to store and analyze the collected operation status data;

[0035] A power saving module, which is used to optimize and control the losses of electrical equipment and power lines;

[0036] A microcomputer chip is used to send control instructions to the power saving module.

[0037] The present invention also provides a computer terminal device, comprising:

[0038] one or more processors;

[0039] A memory, coupled to the processor, for storing one or more programs;

[0040] When the one or more programs are executed by the one or more processors, the one or more processors implement a method for recovering electric energy based on useless power.

[0041] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a method for recovering electric energy based on useless power is implemented.

[0042] Compared with the prior art, the present invention has the following advantages and technical effects:

[0043] The present invention obtains the loss of electrical equipment and lines, analyzes the loss points, and configures technical modules such as voltage stabilization, buffering, compensation, filtering, and internal cycle recovery and compensation in the microcomputer chip. The present invention can recover reverse residual current and reactive power, filter transient surges, adjust voltage stability, maintain line voltage stability, adjust current balance, and dynamically adjust the parameters of each module according to the characteristics of the power load. Through the comprehensive application of these technologies, the present invention realizes intelligent power compensation and power saving. The core is to use microcomputer chips to perform all-round intelligent management and optimization of electric energy, effectively improve power efficiency, reduce power loss, and save electricity bills for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0045] Figure 1 A flowchart of a method for recovering useless power and electric energy according to an embodiment of the present invention;

[0046] Figure 2 FIG. 4 is a flow chart of signal compensation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0048] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0049] Embodiment 1

[0050] like Figure 1-Figure 2 As shown, a method for recovering electric energy based on useless power is provided in this embodiment, comprising the following steps: determining the classification results of loss points based on the loss conditions of electrical equipment and power lines; obtaining the reactive power and residual current of the loss points based on the classification results of the loss points, and configuring corresponding power-saving modules for the loss points; recovering reactive power and residual current, and adjusting the power-saving modules based on the reactive power and residual current.

[0051] Step S101, obtaining the loss situation of electrical equipment and electrical lines, and analyzing the focus of loss points.

[0052] The process of determining the classification results of loss points includes: collecting operating status data of electrical equipment and power lines; performing correlation analysis on the operating status data to obtain loss values ​​of loss points; and using a clustering algorithm to perform memory analysis on the loss values ​​of loss points to determine the classification results of loss points.

[0053] Furthermore, the real-time operating status data of electrical equipment and power lines are obtained, and the big data analysis technology is used to calculate the loss value of each loss point; based on the loss value, the data mining technology is used to determine the focus of the loss point and obtain the classification result of the loss point; according to the classification result, the corresponding power-saving technology module is configured, if the loss point focuses on voltage instability, then the voltage stabilization technology is configured, if the loss point focuses on current fluctuation, then the buffering technology is configured; the configured power-saving technology module is connected in parallel with the electrical equipment, and through the electronic control technology of the microcomputer chip, a preset number of types of power-saving technologies are comprehensively used to optimize the control of the loss of electrical equipment and power lines, and minimize power consumption.

[0054] As a specific implementation of this embodiment, by installing smart meters and sensors on electrical equipment and power lines, real-time data on voltage, current, power and other operating status is collected, collected every 5 seconds, and the collected data is transmitted to the cloud server. Using big data analysis technology, the collected massive data is cleaned, integrated and analyzed, and the loss value of each loss point is calculated through the correlation analysis algorithm, such as the loss value of a motor is 5%, and the loss value of a certain cable section is 2%. According to the calculated loss value, the clustering algorithm in the data mining technology is used to divide the loss points into several categories such as voltage instability type and current fluctuation type according to the loss cause, and obtain the classification results of the loss points. According to the classification results, the corresponding power-saving technology module is configured, such as for the loss point of voltage instability type, the intelligent voltage stabilizer is configured, and the voltage is automatically adjusted by detecting the voltage fluctuation to stabilize it within the range of 220V±5%; for the loss point of current fluctuation type, the intelligent current buffer is configured, and the high-frequency pulses in the current are absorbed through the combination of capacitors and inductors to make the current stable. The configured power-saving technology module is connected in parallel with the power-consuming equipment, and the power consumption is detected in real time through the microcomputer chip. According to the preset power-saving strategy, a variety of power-saving technologies are used in combination to dynamically optimize the operating status of power-consuming equipment and power lines to minimize power consumption. After actual application, the system can reduce the overall power consumption of the industrial park by more than 8%.

[0055] Step S102, according to the analysis results, five technical modules of voltage stabilization, buffering, compensation, filtering, and internal loop recovery and replenishment are configured in the microcomputer chip.

[0056] Furthermore, the loss conditions of the electrical equipment and the electrical lines are obtained, and the focus of the loss points is determined according to the loss conditions, and the voltage, current, and power factor electrical parameter data of at least one loss point are obtained;

[0057] The preset optimization algorithm is used to calculate and process the electrical parameter data to obtain the reactive power and residual current data of each loss point;

[0058] According to the recycling results, the microcomputer chip is equipped with a voltage stabilizing module, a buffer module, a compensation module, a filtering module and an internal recycling module. These five technical modules are used for comprehensive power saving.

[0059] The five technical modules are optimized by using strong and weak complementary technologies, so that the modules can cooperate with each other and exert comprehensive power saving effects;

[0060] Through the feedback control circuit in the chip, the changes in the electrical parameters of the electrical equipment are monitored in real time. If the changes in the electrical parameters exceed the preset threshold, the power saving control strategy of the chip is dynamically adjusted;

[0061] A self-learning algorithm is used to continuously optimize the chip's power-saving control strategy, allowing the chip to adapt to different power usage environments and load changes, and continuously maintain the best power-saving effect.

[0062] As a specific implementation method of this embodiment, firstly, the voltage, current, power factor and other data of the electrical equipment and lines are obtained through the electrical parameter acquisition device. For example, the voltage of a certain device is 220V, the current is 5A, and the power factor is 8. Then, the collected data is fitted and calculated using the least squares method and other optimization algorithms, and the reactive power of the loss point is 800VAR and the residual current is 1A. According to the calculation results, the corresponding power-saving module is configured in the microcomputer chip, such as the voltage stabilizing module adopts the thyristor voltage regulation technology to stabilize the voltage within the range of 220V±5%; the buffer module adopts the supercapacitor to absorb the instantaneous impact current; the compensation module adopts the active filtering technology to dynamically compensate the reactive power; the filter module adopts the LC low-pass filter to suppress the high-order harmonics; the internal cycle recovery and compensation module adopts the energy feedback technology to recycle the residual current. The five technical modules are optimized and combined through fuzzy control algorithms. For example, the stable voltage output by the voltage stabilization module is used as the working benchmark for other modules. The impact current absorbed by the buffer module is returned to the power grid after filtering. The compensation module adjusts the compensation current in real time according to the load change. The recovery module converts the remaining current into DC voltage for other modules to use, thereby achieving strong and weak complementarity and exerting a comprehensive power saving effect. The feedback control circuit inside the chip monitors the changes in the electrical parameters of the electrical equipment in real time. If the voltage deviation exceeds ±5% or the current mutation exceeds 3A, the power saving strategy is dynamically adjusted through the PID control algorithm, such as increasing the output power of the voltage stabilization module and increasing the cutoff frequency of the filter module. At the same time, the chip uses the BP neural network algorithm for self-learning training, and adaptively optimizes the power saving control strategy according to different power consumption environments and load characteristics, such as increasing the compensation during peak power consumption and enhancing the buffering capacity when the equipment starts, so as to continuously maintain the best power saving effect, and the power saving rate can reach more than 15%.

[0063] Step S103, recovering the reverse phase residual current and reactive power through microcomputer chip control.

[0064] Furthermore, the loss conditions in electrical equipment and power lines are obtained, and analyzed using microcomputer chips to obtain the focus of loss points; for loss points, the voltage stabilization, buffering, compensation, filtering, and dual-circulation technologies in the module chip are configured through the electronic control technology of the microcomputer chip to adjust the loss points in a targeted and directional manner; through the coupling of the microcomputer chip's comprehensive control of voltage stabilization, buffering, compensation, filtering, and internal cycle recovery and compensation technology, the power saving goals of reducing current, improving power factor, buffering energy saving, reducing losses, and on-site reactive power compensation are achieved.

[0065] As a specific implementation method of this embodiment, firstly, the current, voltage and other electrical parameter data of the electrical equipment and lines are collected through the current transformer and the voltage transformer, and the data is transmitted to the microcomputer chip. The microcomputer chip uses an adaptive weight algorithm to analyze the electrical parameter data, calculates the reactive power and harmonic content of each loss point, and determines that the loss is mainly concentrated in the transformer, cable and other parts. For these loss points, the electronic control module of the microcomputer chip dynamically adjusts the output voltage of the voltage stabilization module according to the preset strategy, and controls the voltage fluctuation within ±5%; absorbs the instantaneous impact current through the buffer module, and reduces the peak current by up to 20%; uses the compensation module to generate a compensation current opposite to the reactive current, and improves the power factor to more than 95; the filter module uses active filtering technology to filter out more than 90% of the harmonic interference; the internal cycle recovery and compensation module feeds the remaining electric energy back to the power grid, reducing the loss by 15%. Finally, the microcomputer chip comprehensively coordinates the work of various technical modules and optimizes the power-saving strategy through fuzzy control algorithms, achieving a power-saving effect of reducing line loss by 5%, improving efficiency by 10%, and achieving a 20% energy-saving rate. It can also adaptively adjust according to load changes to maintain stable and reliable energy-saving performance.

[0066] Step S104: if a transient surge is detected, the filtering module is activated to filter it out.

[0067] Further, the voltage signal data in the circuit is obtained, and the voltage signal data is obtained by the voltage detection module monitoring the voltage waveform in the circuit in real time;

[0068] Perform spectrum analysis on the voltage signal data. The spectrum analysis uses Fourier transform algorithm to obtain the frequency components and amplitudes of the voltage signal.

[0069] Determine whether there is a high-frequency component in the spectrum analysis result, and if there is a high-frequency component and the amplitude exceeds a preset threshold, determine that a transient surge is detected;

[0070] If a transient surge is detected, the voltage signal is filtered using a low-pass filtering algorithm to remove high-frequency components in the voltage signal and obtain a voltage waveform after the transient surge is filtered out.

[0071] Compare the voltage waveform after filtering out transient surges with the preset standard sine waveform, calculate the similarity between the two, and determine the degree of distortion of the voltage waveform;

[0072] If the distortion degree of the voltage waveform exceeds the preset threshold, the voltage waveform is compensated using a reactive power compensation algorithm to make the voltage waveform a standard sinusoidal waveform.

[0073] The compensated voltage signal is converted into an analog signal through a digital-to-analog converter, and the analog signal is output to the circuit to filter transient surges and optimize the voltage waveform.

[0074] As a specific implementation of this embodiment, the voltage detection module monitors the voltage waveform in the circuit in real time, with a sampling frequency of 10kHz and a quantization accuracy of 12 bits. The collected voltage signal data is subjected to spectrum analysis by the fast Fourier transform (FFT) algorithm, with a frequency resolution of 1Hz and an amplitude resolution of 1V. According to the empirical value, the frequency component with a frequency greater than 1kHz and an amplitude greater than 10V is determined as a transient surge. When a transient surge is detected, a third-order Butterworth low-pass filter with a cutoff frequency of 1kHz is used to filter the voltage signal to remove the high-frequency component. Then, the filtered voltage waveform is cross-correlated with the standard 50Hz sine wave to calculate the similarity. If the similarity is less than 90%, it is considered that the voltage waveform distortion exceeds the threshold. At this time, the reactive power to be compensated is calculated by the reactive compensation algorithm, and the compensation signal is converted into an analog quantity by a digital-to-analog converter and output to the circuit to restore the voltage waveform to a standard sine waveform. During the whole process, data is transmitted between the modules through a serial communication protocol to ensure the real-time and reliability of the system.

[0075] Step S105, when the voltage is over-voltage or under-voltage, the voltage stabilization module is adjusted to achieve voltage stability.

[0076] The process of adjusting the power saving module also includes: adjusting the voltage stabilizing module based on the voltage in the circuit; wherein, the process of optimizing and adjusting the voltage based on the voltage by the voltage stabilizing module includes: starting the voltage stabilizing module when the voltage signal collected by the voltage sensor is not within the preset voltage threshold range; the voltage stabilizing module uses the PI control algorithm to smoothly adjust the voltage.

[0077] Further, a voltage signal collected in real time by a voltage sensor is obtained, the voltage signal is converted into a digital signal, and the digital signal is transmitted to a microcomputer chip;

[0078] The microcomputer chip obtains a preset voltage threshold range, and determines whether the current voltage represented by the digital signal is within a normal range according to the voltage threshold range;

[0079] If the current voltage is not within the normal range, the microcomputer chip sends a control instruction to the voltage stabilization module;

[0080] After receiving the control command sent by the microcomputer chip, the voltage stabilizing module adjusts the current voltage through the internal power electronic devices to restore the current voltage to the normal range;

[0081] While adjusting the current voltage, the voltage stabilization module also filters the voltage signal corresponding to the current voltage through a filter circuit to remove high-frequency noise and harmonic interference in the voltage signal, thereby improving the voltage quality of the current voltage;

[0082] During the entire voltage regulation process, the internal cycle recovery and compensation technology is adopted to recycle the residual current and reactive power generated in the regulation process, further improving the power saving effect.

[0083] As a specific implementation of this embodiment, the voltage sensor collects voltage signals in real time, with a sampling frequency of 1kHz, converts the collected analog voltage signals into digital signals through a 16-bit ADC, with a quantization accuracy of 1V, and transmits them to the microcomputer chip through the RS485 bus at a rate of 9600bps. The normal voltage range preset inside the microcomputer chip is 220V±10%, that is, 198V~242V. By decoding and converting the digital signal, the current actual voltage value is obtained and compared with the preset voltage range. If it is judged that the current voltage exceeds the normal range, the microcomputer chip sends a control instruction to the voltage stabilization module through the I2C bus, and the instruction contains the target voltage value and adjustment time. The voltage stabilization module adopts IGBT power tube and SPWM modulation technology, and realizes smooth voltage regulation through the PI control algorithm. The regulation accuracy is better than 1% and the regulation time is 50ms. At the same time, the voltage stabilization module integrates an LC filter circuit, and the cut-off frequency is set to 500Hz, which can effectively filter out high-frequency noise and harmonic components in the voltage signal to ensure the purity of the output voltage. In addition, the voltage regulator module also has a built-in energy feedback unit, which adopts the Buck-Boost converter topology to feed back the residual current and reactive power generated during the regulation process to the power supply side. The feedback efficiency can reach 95%, effectively reducing the energy consumption of the system. The entire voltage regulation control link adopts a dual closed-loop control structure, with a voltage outer loop sampling period of 10ms and a current inner loop sampling period of 1ms, which can achieve rapid response and precise control of voltage regulation, ensuring the stable and reliable operation of the system.

[0084] Step S106, dynamically adjusting the parameters of each module according to the power load characteristics to achieve intelligent compensation and power saving.

[0085] The process of adjusting the power-saving module also includes: dynamically adjusting the parameters of each power-saving module based on the power load characteristics; wherein, the process of adjusting the parameters of each power-saving module based on the power load characteristics includes: obtaining power load parameter information; calculating load characteristic parameters based on the power load parameter information; determining the inductive load based on the load characteristic parameters, and when the load is an inductive load, adjusting the compensation capacitor parameters in the power-saving module; when the load is a capacitive load, adjusting the compensation inductor parameters in the power-saving module; based on the compensation capacitor parameters and the compensation inductor parameters, achieving on-site balanced compensation of reactive power.

[0086] Further, obtaining voltage and current parameter information of the electrical load;

[0087] According to the power load parameter information, the characteristic parameters of the load are calculated through a preset optimization algorithm;

[0088] According to the load characteristic parameters, determine whether the load is an inductive load;

[0089] If the load is an inductive load, the compensation capacitor parameters in the power saving module are dynamically adjusted;

[0090] If the load is a capacitive load, the compensation inductance parameters in the power saving module are dynamically adjusted;

[0091] By adjusting the compensation capacitor parameters or compensation inductor parameters, reactive power can be compensated on-site and the power factor can be improved.

[0092] According to load fluctuations, the buffer technology preset in the power saving module dynamically matches the parameters of the energy storage capacitor to reduce peak loads and fill valleys, thereby reducing power loss.

[0093] Adopt the filtering technology in the power saving module to dynamically adjust the filter circuit parameters and filter out the harmonic interference in the power grid;

[0094] Through the internal cycle recovery technology preset in the power saving module, the residual current fed back by the load is recovered and reused, further reducing power loss and improving power utilization.

[0095] As a specific implementation of this embodiment, the power saving module first obtains the voltage, current and other parameter information of the power load through the voltage and current sensor, and the sampling frequency is 1kHz. Then the collected data is transmitted to the controller, and the controller uses the least squares fitting algorithm to calculate the characteristic parameters such as the impedance and power factor of the load. If the calculated power factor is less than 95, it is determined to be an inductive load. The controller will send a control signal to the thyristor switch to dynamically adjust the switching state of the compensation capacitor group. The capacitance of each group is 10kvar. The inductive reactive power is compensated by switching the number of capacitor groups, so that the power factor is increased to more than 98. If the calculated power factor is greater than 99, it is determined to be a capacitive load. The controller will dynamically adjust the compensation inductance parameter. The inductance value range is 1 to 5mH. The capacitive reactive power is compensated by adjusting the inductance value to keep the power factor between 95 and 1. In view of load fluctuation, the power saving module adopts fuzzy PID control algorithm, dynamically matches 1 to 10 groups of 100μF energy storage capacitors according to the load power change, stores energy when the power consumption is low, discharges when the power consumption is high, cuts the peak and fills the valley, and reduces the power loss. The power saving module adopts active power filtering technology for harmonic interference in the power grid, detects the 2nd to 50th harmonic content in the power grid in real time, and dynamically adjusts the inductance value (1 to 10mH) and capacitance value (10 to 100μF) of the LCL type active filter to reduce the harmonic content to less than 3%. Finally, the power saving module recycles the residual current fed back by the load to the energy storage capacitor and UPS power supply for reuse, so that the power utilization rate is increased by 1% to 5%. Through the above measures, the power saving module can realize reactive local balance compensation, improve power factor, cut peak and fill valley, suppress harmonic interference, and recycle the residual electric energy, so as to achieve the purpose of energy saving and consumption reduction and improve power quality, and the power saving effect can reach more than 10%.

[0096] Embodiment 2

[0097] This embodiment also provides a device energy saver based on useless power recovery, including:

[0098] A data acquisition device, which is used to collect the operating status data of electrical equipment and power lines in real time;

[0099] Cloud server, which is used to store and analyze the collected operation status data;

[0100] Power saving module, which is used to optimize and control the loss of electrical equipment and power lines;

[0101] Microcomputer chip, the microcomputer chip is used to send control instructions to the power saving module.

[0102] Embodiment 3

[0103] This embodiment also provides a computer terminal device, including:

[0104] one or more processors;

[0105] A memory, coupled to the processor, for storing one or more programs;

[0106] When one or more programs are executed by one or more processors, the one or more processors implement a method for recovering electric energy based on useless power.

[0107] Embodiment 4

[0108] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a method for recovering electric energy based on useless power is implemented.

[0109] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for recovering useless power, characterized in that: The following steps are involved: Determine the classification results of loss points based on the loss of electrical equipment and power lines; Based on the classification results of the loss points, the reactive power and residual current of the loss points are obtained, and a corresponding power saving module is configured for the loss points; The reactive power and the residual current are recovered, and a power saving module is adjusted based on the reactive power and the residual current.

2. The method for recovering electric energy based on useless power according to claim 1, characterized in that: The process of determining the classification results of the loss points includes: Collect operating status data of electrical equipment and power lines; Performing correlation analysis on the operating status data to obtain loss values ​​of loss points; A clustering algorithm is used to analyze the loss values ​​of the loss points to determine the classification results of the loss points.

3. The method for recovering useless power according to claim 1, characterized in that: The power saving module comprises: a voltage stabilizing module, a buffer module, a compensation module, a filtering module and an internal circulation recovery and replenishment module.

4. The method for recovering useless power according to claim 3 is characterized in that: The process of adjusting the power saving module includes: starting the filtering module based on the voltage signal data in the circuit; The process of optimizing and adjusting based on the filtering module includes: Obtaining voltage signal data based on a voltage waveform in the circuit; Performing spectrum analysis on the voltage signal data to obtain frequency components and amplitudes of the voltage signal; When the high-frequency component of the frequency component exceeds a preset frequency threshold, it is determined that there is a transient surge; The filtering module uses a low-pass filtering algorithm to filter out the high-frequency component to obtain a voltage waveform after filtering out transient surges; Comparing the voltage waveform after filtering out transient surges with a preset standard sine waveform, calculating the similarity between the two, and determining the degree of distortion of the voltage waveform; When the distortion degree of the voltage waveform exceeds a preset distortion threshold, a reactive power compensation algorithm is used to compensate the voltage waveform to obtain a compensated voltage signal; The compensated voltage signal is converted into an analog signal to filter out transient surges and optimize the voltage waveform.

5. The method for recovering electric energy based on useless power according to claim 3, characterized in that: The process of adjusting the power saving module also includes: adjusting the voltage stabilizing module based on the voltage in the circuit; The process of optimizing and adjusting the voltage by the voltage stabilizing module includes: When the voltage signal collected by the voltage sensor is not within the preset voltage threshold range, the voltage stabilization module is started; The voltage stabilization module uses a PI control algorithm to smoothly regulate the voltage.

6. The method for recovering useless power according to claim 5, characterized in that: The process of adjusting the power saving module also includes: dynamically adjusting the parameters of each power saving module based on the power load characteristics; The process of adjusting the parameters of each power saving module based on the power load characteristics includes: Obtain power load parameter information; Calculate load characteristic parameters based on the power load parameter information; Determine the inductive load based on the load characteristic parameters, and when the load is an inductive load, adjust the compensation capacitance parameter in the power saving module; when the load is a capacitive load, adjust the compensation inductance parameter in the power saving module; Based on the compensation capacitor parameters and the compensation inductor parameters, reactive power on-site balanced compensation is achieved.

7. An energy saver based on useless power recovery, characterized in that: include: A data acquisition device, the data acquisition device is used to collect operating status data of electrical equipment and power lines in real time; A cloud server, the cloud server is used to store and analyze the collected operation status data; A power saving module, which is used to optimize and control the losses of electrical equipment and power lines; A microcomputer chip is used to send control instructions to the power saving module.

8. A computer terminal device, characterized in that: include: one or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for recovering electric energy based on useless power as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for recovering electric energy based on useless power as described in any one of claims 1 to 6 is implemented.

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