Integrated Energy Utilization Management Platform Based on Photovoltaic-Storage-Direct-Current-Flexible Technology

Abstract

The present invention belongs to the technical field of energy management, specifically an integrated energy utilization management platform based on the technology of photovoltaic energy storage, direct current, and flexibility, including an integrated photovoltaic power generation module, an energy storage deployment module, a direct current power distribution conversion module, a flexible power consumption management module, a photovoltaic energy storage diagnosis and analysis module, and a user terminal. The present invention utilizes a solar photovoltaic panel to convert solar energy into electrical energy through the integrated photovoltaic power generation module, stores the excess electrical energy generated by the photovoltaic power generation through the energy storage deployment module and releases the electrical energy in a timely manner. The direct current power distribution conversion module adopts a direct current power distribution network to reduce the loss during the energy conversion process. The flexible power consumption management module realizes the refined management of electrical energy by intelligently adjusting the power consumption strategy, and analyzes the performance of the photovoltaic energy storage cooperation through the photovoltaic energy storage cooperation performance analysis module to strengthen the subsequent supervision of the solar photovoltaic panel and the energy storage power supply in a timely manner, ensuring the safety of subsequent power generation and energy storage.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, specifically an integrated energy utilization management platform based on the technology of photovoltaic energy storage, direct current power supply, and flexible power consumption. Background Art

[0002] With the continuous growth of global energy demand and the increasing awareness of environmental protection, the development and utilization of renewable energy and the improvement of energy utilization efficiency have become the common goals of governments and enterprises around the world;

[0003] In a Chinese invention patent with the publication number CN118367539A, a zero-carbon building control system and method based on photovoltaic energy storage, direct current power supply, and flexible power consumption are disclosed. By collecting various feedback data, an optimal power consumption strategy is formulated to control the power consumption links of subordinate subsystems. When detecting fault information sent by subordinate subsystems, the historical database is matched to summarize the current equipment fault information and report it, protecting the user's power consumption safety and improving the power utilization efficiency;

[0004] However, in the actual application process of the above invention technical solution, it is difficult to accurately feedback the abnormal operation degree of solar photovoltaic panels and energy storage devices while effectively managing the building energy utilization, and it is impossible to reasonably analyze and comprehensively judge the operation cooperation performance of photovoltaic energy storage and give early warnings in a timely manner, which is not conducive to ensuring the safety of power generation and energy storage, has a large supervision difficulty and a low intelligent level;

[0005] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0006] The purpose of the present invention is to provide an integrated energy utilization management platform based on the technology of photovoltaic energy storage, direct current power supply, and flexible power consumption, which solves the problems that the prior art is difficult to accurately feedback the abnormal operation degree of solar photovoltaic panels and energy storage devices while effectively managing the building energy utilization, and it is impossible to reasonably analyze and comprehensively judge the operation cooperation performance of photovoltaic energy storage and give early warnings in a timely manner, with a large supervision difficulty and a low intelligent level.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] An integrated energy utilization management platform based on the technology of photovoltaic energy storage, direct current power supply, and flexible power consumption includes an integrated photovoltaic power generation module, an energy storage allocation module, a direct current power distribution conversion module, a flexible power consumption management module, a photovoltaic energy storage cooperation performance analysis module, and a user terminal;

[0009] The integrated photovoltaic power generation module uses solar photovoltaic panels to convert solar energy into electrical energy and transmits the generated electrical energy to the energy storage allocation module and the direct current power distribution conversion module;

[0010] The energy storage allocation module is configured with high-performance energy storage devices for storing the excess electrical energy generated by photovoltaic power generation and releasing electrical energy when the light is insufficient or during peak power consumption;

[0011] The DC power distribution conversion module transmits and distributes the DC electric energy generated by the integrated photovoltaic power generation module and energy storage deployment module to various loads in a building or a park; the flexible power consumption management module intelligently adjusts the power consumption strategy by monitoring the power consumption load, photovoltaic power generation amount and charge-discharge status of the energy storage device in real time in the building or park, and sends the monitoring information and adjustment information to the user side for display;

[0012] The analysis module for the performance of photovoltaic and energy storage cooperation analyzes the performance of photovoltaic and energy storage cooperation, judges whether a signal indicating unqualified photovoltaic and energy storage cooperation is generated through analysis, and sends the signal of abnormal photovoltaic and energy storage cooperation to the user side. When the user side receives the signal indicating unqualified photovoltaic and energy storage cooperation, a corresponding warning is issued.

[0013] Furthermore, the flexible power consumption management module has the functions of load forecasting, power quality analysis, reactive power optimization and fault protection; among them, load forecasting is the basic link of flexible power consumption management. By analyzing historical data and real-time data using load forecasting methods, the law and trend of load changes are obtained and the future load changes are predicted accordingly;

[0014] Power quality analysis involves the real-time monitoring and analysis of power quality parameters including voltage, current and frequency. By analyzing these data, power quality problems are found, including voltage fluctuations and harmonic pollution, and corresponding measures are taken to improve based on the discovered power quality problems;

[0015] Reactive power optimization distributes the reactive power flow of the power system reasonably to maintain the voltage level of the system, improve voltage stability and reduce active power network losses; fault protection discovers and handles potential fault risks through the real-time monitoring and analysis of the power system.

[0016] Furthermore, the load forecasting methods adopted for load forecasting include the unit consumption method, the trend extrapolation method, the elasticity coefficient method, the time series method, the grey model method, the Delphi method, the neural network method, the optimal combined forecasting method and the wavelet analysis forecasting technique;

[0017] Reactive power optimization includes two aspects: the optimal planning of reactive power compensation devices and the voltage reactive power optimization control. By optimizing the layout and capacity of reactive power compensation devices and adjusting the tap position of transformers and other measures, the reasonable distribution of reactive power flow is realized and the operation efficiency of the power system is improved.

[0018] Furthermore, the specific analysis process of the analysis module for the performance of photovoltaic and energy storage cooperation is as follows:

[0019] Set the monitoring period, collect the number of times the corresponding solar photovoltaic panel is marked as an abnormal power generation object within the monitoring period and define it as the abnormal power generation frequency, and collect the number of times the corresponding energy storage device is marked as an abnormal energy storage object within the monitoring period and define it as the abnormal energy storage frequency;

[0020] Mark the ratio of the number of solar photovoltaic panels with abnormal power generation frequency exceeding the preset abnormal power generation frequency during the monitoring period as the power generation abnormal ratio value, and mark the ratio of the number of energy storage devices with abnormal energy storage frequency exceeding the preset abnormal energy storage frequency threshold during the monitoring period as the energy storage abnormal ratio value. Numerically compare the power generation abnormal ratio value and the energy storage abnormal ratio value with the preset power generation abnormal threshold and the preset energy storage abnormal threshold respectively. If the power generation abnormal ratio value or the energy storage abnormal ratio value exceeds the corresponding preset threshold, generate a signal indicating unqualified photovoltaic-storage cooperation.

[0021] Furthermore, if neither the power generation abnormal ratio value nor the energy storage abnormal ratio value exceeds the corresponding preset threshold, calculate the average value of the abnormal power generation frequencies of all solar photovoltaic panels to obtain the photovoltaic panel cooperation value, and calculate the average value of the abnormal energy storage frequencies of all energy storage devices to obtain the energy storage cooperation value; and if there are abnormal power generation objects or abnormal energy storage objects within a unit time, assign the photovoltaic-storage hidden danger symbol CP-1, obtain the number of times the photovoltaic-storage hidden danger symbol is assigned during the monitoring period and mark it as the photovoltaic-storage hidden danger frequency.

[0022] Obtain the photovoltaic-storage cooperation coefficient through numerical calculation of the photovoltaic panel cooperation value, the energy storage cooperation value, and the photovoltaic-storage hidden danger frequency. Numerically compare the photovoltaic-storage cooperation coefficient with the preset photovoltaic-storage cooperation coefficient threshold. If the photovoltaic-storage cooperation coefficient exceeds the preset photovoltaic-storage cooperation coefficient threshold, generate a signal indicating unqualified photovoltaic-storage cooperation.

[0023] Furthermore, the user terminal is communicatively connected to the photovoltaic panel detection module and the energy storage detection module. The photovoltaic panel detection module monitors and analyzes the operation of all solar photovoltaic panels, determines the abnormal power generation objects accordingly, and sends all the abnormal power generation objects to the photovoltaic-storage cooperation performance analysis module and the user terminal.

[0024] The energy storage detection module monitors and analyzes the operation of all energy storage devices, determines the abnormal energy storage objects accordingly, and sends all the abnormal energy storage objects to the photovoltaic-storage cooperation performance analysis module and the user terminal.

[0025] Furthermore, the specific analysis process of the photovoltaic panel detection module is as follows:

[0026] Set several detection time periods within a unit time, collect the average value of the light intensity and the power generation of the corresponding solar photovoltaic panels during the corresponding detection time periods. Mark the ratio of the power generation of the solar photovoltaic panels to the average value of the light intensity as the power generation analysis value. Numerically compare the power generation analysis value with the preset power generation analysis value range. If the power generation analysis value is not within the preset power generation analysis value range, mark the corresponding detection time period as a power generation abnormal time period.

[0027] And the real-time orientation of the corresponding solar panel is collected, and the deviation angle of the real-time orientation from the current standard orientation is marked as the orientation outlier. The orientation outlier is numerically compared with the preset orientation outlier threshold. If the orientation outlier exceeds the preset orientation outlier threshold, the corresponding orientation outlier is marked as the orientation characteristic value;

[0028] The number of power generation abnormal periods within a unit time is obtained and the ratio is calculated with the total number of detection periods to obtain the power generation period abnormal value. And the ratio of the number of orientation characteristic values to the number of orientation outliers within a unit time is calculated to obtain the power generation orientation abnormal value; By performing weighted summation calculation on the power generation period abnormal value and the power generation orientation abnormal value, the photovoltaic panel detection value of the corresponding solar photovoltaic panel is obtained; The photovoltaic panel detection value is numerically compared with the preset photovoltaic panel detection threshold. If the photovoltaic panel detection value exceeds the preset photovoltaic panel detection threshold, the corresponding solar photovoltaic panel is marked as an abnormal power generation object.

[0029] Further, the specific analysis process of the energy storage detection module is as follows:

[0030] The electricity consumed and the electricity output by the corresponding energy storage device within a unit time are collected, and the difference between the electricity consumed and the electricity output is calculated to obtain the self-loss value of electric energy; And the internal temperature and the generated noise data of the corresponding energy storage device are collected and marked as the energy storage internal temperature value and the energy storage noise generation value respectively. The energy storage internal temperature value and the energy storage noise generation value are numerically compared with the preset energy storage internal temperature threshold and the preset energy storage noise generation threshold respectively. If the energy storage internal temperature value or the energy storage noise generation value exceeds the corresponding preset threshold, it is determined that the corresponding energy storage device is in an energy storage risk state;

[0031] The total duration of the corresponding energy storage device being in the energy storage risk state within a unit time is obtained and marked as the energy storage risk time value, and the occurrence frequency of the single continuous duration of the corresponding energy storage device being in the energy storage risk state exceeding the corresponding preset continuous duration threshold within a unit time is marked as the energy storage risk frequency value; By performing numerical calculation on the self-loss value of electric energy, the energy storage risk time value and the energy storage risk frequency value, the energy storage detection value is obtained. The energy storage detection value is numerically compared with the preset energy storage detection threshold. If the energy storage detection value exceeds the preset energy storage detection threshold, the corresponding energy storage device is marked as an abnormal energy storage object.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. In the present invention, through the integration of renewable energy power generation, efficient energy storage, DC power distribution, and intelligent power consumption regulation by the photovoltaic-storage-direct-current-flexible (PV-ESS-DC-Flex) technology and the realization of effective management of energy utilization, it is possible to effectively reduce the energy consumption of buildings or parks, improve energy utilization efficiency, promote green and low-carbon development, and through the PV-ESS cooperation performance analysis module, analyze the PV-ESS cooperation performance to timely strengthen the subsequent supervision of solar photovoltaic panels and energy storage power supplies, ensuring the safety of subsequent power generation and energy storage;

[0034] 2. In the present invention, the photovoltaic panel detection module monitors and analyzes the operation of all solar photovoltaic panels to determine abnormal power generation objects, and the energy storage detection module monitors and analyzes the operation of all energy storage devices to determine abnormal energy storage objects. This can not only timely inspect the corresponding solar photovoltaic panels and energy storage devices and take corresponding regulation or maintenance measures to ensure the safe and stable operation of all solar photovoltaic panels and energy storage devices, but also provide information support for the analysis process of the PV-ESS cooperation performance analysis module, ensuring the accuracy of its analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings;

[0036] Figure 1 It is the system block diagram of Embodiment 1 in the present invention;

[0037] Figure 2 It is the system block diagram of Embodiment 2 and Embodiment 3 in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Embodiment 1: As Figure 1 shown, the integrated energy utilization management platform based on the PV-ESS-DC-Flex technology proposed by the present invention includes an integrated photovoltaic power generation module, an energy storage deployment module, a DC power distribution conversion module, a flexible power consumption management module, a PV-ESS cooperation performance analysis module, and a user terminal;

[0040] The integrated photovoltaic power generation module uses solar photovoltaic panels to convert solar energy into electrical energy and transmits the generated electrical energy to the energy storage deployment module and the DC power distribution conversion module; the energy storage deployment module configures high-performance energy storage devices, such as lithium-ion battery packs, for storing the excess electrical energy generated by photovoltaic power generation and releasing electrical energy during insufficient light or peak power consumption;

[0041] The DC power distribution conversion module adopts a DC power distribution network to transmit and distribute the DC electric energy generated by the integrated photovoltaic power generation module and the energy storage allocation module to various loads in a building or a park, reducing the losses during the energy conversion process and improving the energy transmission efficiency. The system supports flexible interconnection with the AC power grid to ensure the stability and reliability of the energy supply;

[0042] The flexible power consumption management module realizes the refined management of electric energy by monitoring the power consumption load, photovoltaic power generation amount, and charge and discharge states of energy storage devices in a building or a park in real time, intelligently adjusting the power consumption strategy, and sending the monitoring information and adjustment information to the user side for display; Flexible power consumption management includes functions such as load forecasting, power quality analysis, reactive power optimization, and fault protection;

[0043] Among them, load forecasting is the basic link of flexible power consumption management. By analyzing historical data and real-time data using load forecasting methods such as the unit consumption method, trend extrapolation method, elasticity coefficient method, time series method, grey model method, Delphi method, neural network method, optimal combination forecasting method, and wavelet analysis forecasting technology, the law and trend of load changes can be obtained, and then the future load changes can be predicted based on this. This forecasting ability helps the power system to carry out advance scheduling, effectively avoid problems such as overload or insufficient power supply, and ensure the stable operation of the power system;

[0044] Power quality analysis aims to ensure that the power supply system provides power that meets the standards. This link involves the real-time monitoring and analysis of power quality parameters (including voltage, current, frequency, etc.). By analyzing these data to discover power quality problems, such as voltage fluctuations and harmonic pollution, corresponding measures are taken based on the discovered power quality problems for improvement; For example, for voltage fluctuation problems, measures such as installing a fast voltage regulator or a fast switch-type series compensation device can be taken for transformation to improve voltage stability;

[0045] Reactive power optimization is a key link in the flexible power consumption management strategy. By reasonably distributing the reactive power flow of the power system to maintain the voltage level of the system, improve voltage stability, and reduce the active power network loss; Reactive power optimization mainly includes two aspects: the optimal planning of reactive power compensation devices and voltage reactive power optimization control. By optimizing the layout and capacity of reactive power compensation devices and adjusting the tap position of transformers and other measures, the reasonable distribution of reactive power flow is realized, significantly improving the operation efficiency of the power system; Specifically, reactive power optimization can be achieved in the following ways:

[0046] Configuration of reactive power compensation device: According to the actual situation of the power system, reasonably configure reactive power compensation devices such as capacitors and reactors to provide necessary reactive power support; Transformer tap adjustment: By adjusting the tap position of the transformer, the reactive power flow distribution of the power system can be changed, thereby optimizing the voltage level; Intelligent scheduling: Use intelligent algorithms to perform real-time scheduling of the power system, allocate reactive power in the optimal way, and achieve stable operation and efficient utilization of the power system.

[0047] Fault protection is the safety guarantee link in the flexible power consumption management strategy. Through real-time monitoring and analysis of the power system, potential fault risks are discovered and processed. For example, when faults such as overload and short circuit occur in the power system, the fault protection device will quickly cut off the faulty circuit to prevent the expansion of the fault and protect the normal operation of other devices.

[0048] As can be seen from the above, the flexible power consumption management module will intelligently adjust the power consumption strategy according to the real-time monitored data and information. This includes adjusting the distribution of power consumption load, optimizing the utilization of photovoltaic power generation, and controlling the charge and discharge status of energy storage devices. By intelligently adjusting the power consumption strategy, refined management of electric energy can be achieved, and the operation efficiency and energy utilization rate of the power system can be improved. The technical solution of the present invention realizes the efficient utilization and optimal allocation of energy by integrating the optical storage direct current flexible technology, provides a new energy solution for buildings or parks, and has significant technical advantages and practical application value.

[0049] The analysis module for the performance of the cooperation between photovoltaic power generation and energy storage analyzes the performance of the cooperation between photovoltaic power generation and energy storage. Through the analysis, it judges whether an unqualified signal for the cooperation between photovoltaic power generation and energy storage is generated, and sends the abnormal signal of the cooperation between photovoltaic power generation and energy storage to the user terminal. When the user terminal receives the unqualified signal for the cooperation between photovoltaic power generation and energy storage, it issues a corresponding warning to remind the user to strengthen the subsequent supervision of the solar photovoltaic panels and energy storage power sources, ensure the safety of subsequent power generation and energy storage, which is conducive to the user to reasonably formulate the subsequent supervision plan, and has a high level of intelligence. The specific analysis process of the analysis module for the performance of the cooperation between photovoltaic power generation and energy storage is as follows:

[0050] Set the monitoring period. Preferably, the monitoring period is twenty days; Collect the number of times the corresponding solar photovoltaic panel is marked as an abnormal power generation object within the monitoring period and define it as the abnormal power generation frequency, and collect the number of times the corresponding energy storage device is marked as an abnormal energy storage object within the monitoring period and define it as the abnormal energy storage frequency;

[0051] Mark the ratio of the number of solar photovoltaic panels with abnormal power generation frequency exceeding the preset abnormal power generation frequency during the monitoring period as the power generation abnormal ratio value, and mark the ratio of the number of energy storage devices with abnormal energy storage frequency exceeding the preset abnormal energy storage frequency threshold during the monitoring period as the energy storage abnormal ratio value. Numerically compare the power generation abnormal ratio value and the energy storage abnormal ratio value with the preset power generation abnormal threshold and the preset energy storage abnormal threshold respectively. If the power generation abnormal ratio value or the energy storage abnormal ratio value exceeds the corresponding preset threshold, it indicates that the overall operation status of the involved solar photovoltaic panels or energy storage power sources is poor, and the performance of the photovoltaic-storage cooperation is poor, then generate a signal indicating that the photovoltaic-storage cooperation is unqualified.

[0052] Furthermore, if both the power generation abnormal ratio value and the energy storage abnormal ratio value do not exceed the corresponding preset thresholds, calculate the average value of the abnormal power generation frequencies of all solar photovoltaic panels to obtain the photovoltaic panel cooperation value, and calculate the average value of the abnormal energy storage frequencies of all energy storage devices to obtain the energy storage cooperation value; and if there are abnormal power generation objects or abnormal energy storage objects within a unit time, assign the photovoltaic-storage hidden danger symbol CP-1, obtain the number of times the photovoltaic-storage hidden danger symbol is assigned during the monitoring period and mark it as the photovoltaic-storage hidden danger frequency;

[0053] Perform numerical calculation on the photovoltaic panel cooperation value XF, the energy storage cooperation value GY, and the photovoltaic-storage hidden danger frequency WL through the formula LP = a×XF + e×GY + k×WL to obtain the photovoltaic-storage cooperation coefficient LP, where a, e, and k are preset weight coefficients with values greater than zero, and moreover, the larger the value of the photovoltaic-storage cooperation coefficient LP, the worse the performance of the photovoltaic-storage cooperation during the monitoring period;

[0054] Numerically compare the photovoltaic-storage cooperation coefficient LP with the preset photovoltaic-storage cooperation coefficient threshold. If the photovoltaic-storage cooperation coefficient LP exceeds the preset photovoltaic-storage cooperation coefficient threshold, it indicates that the overall operation status of the involved solar photovoltaic panels or energy storage power sources is poor, and the performance of the photovoltaic-storage cooperation is poor, then generate a signal indicating that the photovoltaic-storage cooperation is unqualified.

[0055] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the user terminal is communicatively connected to the photovoltaic panel detection module. The photovoltaic panel detection module monitors and analyzes the operation of all solar photovoltaic panels, determines abnormal power generation objects accordingly, and sends all abnormal power generation objects to the photovoltaic-storage cooperation performance analysis module and the user terminal to remind the user to timely check the corresponding solar photovoltaic panels and take corresponding regulation or repair measures to ensure the safe and stable operation of all solar photovoltaic panels, and can provide information support for the analysis process of the photovoltaic-storage cooperation performance analysis module to ensure the accuracy of its analysis results; the specific analysis process of the photovoltaic panel detection module is as follows:

[0056] Set several detection time periods within a unit time, collect the average light intensity of the corresponding detection time periods and the power generation of the corresponding solar photovoltaic panel, and mark the ratio of the power generation of the solar photovoltaic panel to the average light intensity as the power generation analysis value. Among them, the power generation analysis value should be within an appropriate range; compare the power generation analysis value with the preset power generation analysis value range. If the power generation analysis value is not within the preset power generation analysis value range, it indicates that the power generation status of the corresponding solar photovoltaic panel during the corresponding detection time period is abnormal, and then mark the corresponding detection time period as a power generation abnormal time period;

[0057] And collect the real-time orientation of the corresponding solar power generation panel. It should be noted that the orientation of the solar photovoltaic panel will be automatically adjusted with the light direction; mark the deviation angle of the real-time orientation compared with the current standard orientation as the orientation abnormal value, compare the orientation abnormal value with the preset orientation abnormal threshold. If the orientation abnormal value exceeds the preset orientation abnormal threshold, it indicates that the orientation of the corresponding solar photovoltaic panel at the current moment is inaccurate, and then mark the corresponding orientation abnormal value as the orientation characteristic value;

[0058] Obtain the number of power generation abnormal time periods within a unit time and calculate the ratio with the total number of detection time periods to obtain the power generation time period abnormal ratio value, and calculate the ratio of the number of orientation characteristic values to the number of orientation abnormal values within a unit time to obtain the power generation orientation abnormal condition value;

[0059] Perform weighted summation calculation on the power generation time period abnormal ratio value SY and the power generation orientation abnormal condition value QP through the formula GM = uy×SY + up×QP to obtain the photovoltaic panel detection value GM of the corresponding solar photovoltaic panel; where uy and up are preset weight coefficients with values greater than zero, and moreover, the larger the value of the photovoltaic panel detection value GM, the worse the power generation performance of the corresponding solar photovoltaic panel within a unit time, and the greater the probability of abnormality;

[0060] Compare the photovoltaic panel detection value GM with the preset photovoltaic panel detection threshold. If the photovoltaic panel detection value GM exceeds the preset photovoltaic panel detection threshold, it indicates that the power generation performance of the corresponding solar photovoltaic panel within a unit time is poor, and the probability of abnormality is large, then mark the corresponding solar photovoltaic panel as an abnormal power generation object.

[0061] Embodiment 3: Such as Figure 2As shown, the difference between this embodiment and Embodiment 1 and Embodiment 2 is that the user terminal is communicatively connected to the energy storage detection module. The energy storage detection module monitors and analyzes the operation of all energy storage devices, determines abnormal energy storage objects accordingly, and sends all abnormal energy storage objects to the photovoltaic-storage cooperation performance analysis module and the user terminal to remind the user to check the corresponding energy storage devices in time and take corresponding control or maintenance measures to ensure the safe and stable operation of all energy storage devices, and can provide information support for the analysis process of the photovoltaic-storage cooperation performance analysis module, further ensuring the accuracy of its analysis results. The specific analysis process of the energy storage detection module is as follows:

[0062] Collect the actual power consumption and the output power of the corresponding energy storage device within a unit time, calculate the difference between the actual power consumption and the output power to obtain the self-loss value of electric energy; and collect the internal temperature and the generated noise data of the corresponding energy storage device and mark them as the internal temperature value of energy storage and the noise generation value of energy storage respectively. Compare the internal temperature value of energy storage and the noise generation value of energy storage with the preset internal temperature threshold of energy storage and the preset noise generation threshold of energy storage respectively. If the internal temperature value of energy storage or the noise generation value of energy storage exceeds the corresponding preset threshold, it is determined that the corresponding energy storage device is in an energy storage risk state;

[0063] Obtain the total duration of the corresponding energy storage device in the energy storage risk state within a unit time and mark it as the risk time value of energy storage, and mark the occurrence frequency of the single continuous duration of the corresponding energy storage device in the energy storage risk state exceeding the corresponding preset continuous duration threshold within a unit time as the risk frequency value of energy storage;

[0064] Perform numerical calculation on the self-loss value of electric energy GS, the risk time value of energy storage FN, and the risk frequency value of energy storage PX through the formula TW = cp×GS + hy×FN + tn×PX to obtain the energy storage detection value TW; where cp, hy, and tn are preset weight coefficients with values greater than zero, and the larger the numerical value of the energy storage detection value TW, the worse the operation condition of the corresponding energy storage device within a unit time and the greater the probability of abnormality;

[0065] Compare the energy storage detection value TW with the preset energy storage detection threshold. If the energy storage detection value TW exceeds the preset energy storage detection threshold, it indicates that the operation condition of the corresponding energy storage device within a unit time is poor and the probability of abnormality is high, then mark the corresponding energy storage device as an abnormal energy storage object.

[0066] Working principle of the present invention: During use, the integrated photovoltaic power generation module utilizes solar panels to convert solar energy into electrical energy. The energy storage and distribution module stores the excess electrical energy generated by photovoltaic power generation and releases the electrical energy when the light is insufficient or during peak electricity consumption. The DC power distribution conversion module adopts a DC power distribution network to transmit and distribute the DC electrical energy generated by the integrated photovoltaic power generation module and the energy storage and distribution module to various loads in a building or a park, reducing the losses during the energy conversion process and improving the energy transmission efficiency. The flexible power consumption management module intelligently adjusts the power consumption strategy by real-time monitoring the power consumption load, the photovoltaic power generation amount, and the charge and discharge status of the energy storage device in a building or a park, realizing the refined management of electrical energy. Moreover, through the analysis module of the performance of the cooperation between photovoltaic power generation and energy storage, the performance of the cooperation between photovoltaic power generation and energy storage is analyzed. When a signal indicating unqualified cooperation between photovoltaic power generation and energy storage is generated, the subsequent supervision intensity of the solar panels and the energy storage power supply is strengthened, ensuring the safety of subsequent power generation and energy storage, which is beneficial for users to reasonably formulate subsequent supervision plans and has a high level of intelligence.

[0067] All the above formulas are dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An integrated energy utilization management platform based on the technology of photovoltaic energy storage, DC power supply and flexible AC power transmission, characterized in that, It includes an integrated photovoltaic power generation module, an energy storage and deployment module, a DC power distribution conversion module, a flexible power consumption management module, an analysis module for the performance of photovoltaic and energy storage cooperation, and a user terminal; the integrated photovoltaic power generation module uses solar photovoltaic panels to convert solar energy into electrical energy and transmits the generated electrical energy to the energy storage and deployment module and the DC power distribution conversion module; The energy storage and deployment module is used to store the excess electrical energy generated by photovoltaic power generation and release electrical energy during insufficient sunlight or peak electricity consumption; the DC power distribution conversion module transmits and distributes the DC electrical energy generated by the integrated photovoltaic power generation module and the energy storage and deployment module to various loads in a building or a park; The flexible power consumption management module intelligently adjusts the power consumption strategy by real-time monitoring the power consumption load, the photovoltaic power generation amount, and the charge and discharge status of the energy storage device in a building or a park, and sends the monitoring information and the adjustment information to the user terminal for display; the analysis module for the performance of photovoltaic and energy storage cooperation analyzes the performance of photovoltaic and energy storage cooperation, judges whether a non-compliance signal for photovoltaic and energy storage cooperation is generated through the analysis, and sends the abnormal signal for photovoltaic and energy storage cooperation to the user terminal, and the user terminal issues a corresponding warning when receiving the non-compliance signal for photovoltaic and energy storage cooperation; The specific analysis process of the analysis module for the performance of photovoltaic and energy storage cooperation is as follows: Set a monitoring period, collect the number of times that the corresponding solar photovoltaic panel is marked as an abnormal power generation object during the monitoring period and define it as the abnormal power generation frequency, and collect the number of times that the corresponding energy storage device is marked as an abnormal energy storage object during the monitoring period and define it as the abnormal energy storage frequency; Mark the ratio of the number of solar photovoltaic panels with an abnormal power generation frequency exceeding the preset abnormal power generation frequency during the monitoring period as the power generation abnormal ratio, and mark the ratio of the number of energy storage devices with an abnormal energy storage frequency exceeding the preset abnormal energy storage frequency threshold during the monitoring period as the energy storage abnormal ratio, and numerically compare the power generation abnormal ratio and the energy storage abnormal ratio with the preset power generation abnormal threshold and the preset energy storage abnormal threshold respectively. If the power generation abnormal ratio or the energy storage abnormal ratio exceeds the corresponding preset threshold, generate a non-compliance signal for photovoltaic and energy storage cooperation; If both the power generation abnormal ratio and the energy storage abnormal ratio do not exceed the corresponding preset thresholds, calculate the average value of the abnormal power generation frequencies of all solar photovoltaic panels to obtain the photovoltaic panel cooperation value, and calculate the average value of the abnormal energy storage frequencies of all energy storage devices to obtain the energy storage cooperation value; and if there is an abnormal power generation object or an abnormal energy storage object within a unit time, assign the photovoltaic and energy storage hidden danger symbol CP-1, collect the number of times the photovoltaic and energy storage hidden danger symbol is assigned during the monitoring period and mark it as the photovoltaic and energy storage hidden danger frequency; Calculate the photovoltaic and energy storage cooperation coefficient through numerical calculation of the photovoltaic panel cooperation value, the energy storage cooperation value, and the photovoltaic and energy storage hidden danger frequency, and numerically compare the photovoltaic and energy storage cooperation coefficient with the preset photovoltaic and energy storage cooperation coefficient threshold. If the photovoltaic and energy storage cooperation coefficient exceeds the preset photovoltaic and energy storage cooperation coefficient threshold, generate a non-compliance signal for photovoltaic and energy storage cooperation; The client communicates with the photovoltaic panel detection module and the energy storage detection module. The photovoltaic panel detection module monitors and analyzes the operation of all solar photovoltaic panels, determines abnormal power generation objects based on this, and sends all abnormal power generation objects to the photovoltaic-storage cooperation performance analysis module and the client; the energy storage detection module monitors and analyzes the operation of all energy storage devices, determines abnormal energy storage objects based on this, and sends all abnormal energy storage objects to the photovoltaic-storage cooperation performance analysis module and the client; The specific analysis process of the photovoltaic panel detection module is as follows: Set several detection time periods within a unit time, collect the average illumination intensity of the corresponding detection time periods and the power generation of the corresponding solar photovoltaic panels, mark the ratio of the power generation of the solar photovoltaic panels to the average illumination intensity as the power generation analysis value, compare the power generation analysis value with the preset power generation analysis value range numerically. If the power generation analysis value is not within the preset power generation analysis value range, mark the corresponding detection time period as a power generation abnormal time period; And collect the real-time orientation of the corresponding solar power generation panel, mark the deviation angle of the real-time orientation compared with the current standard orientation as the orientation abnormal value, compare the orientation abnormal value with the preset orientation abnormal threshold numerically. If the orientation abnormal value exceeds the preset orientation abnormal threshold, mark the corresponding orientation abnormal value as the orientation characteristic value; Obtain the number of power generation abnormal time periods within a unit time and calculate the ratio with the total number of detection time periods to obtain the power generation time period abnormal value, and calculate the ratio of the number of orientation characteristic values to the number of orientation abnormal values within a unit time to obtain the power generation orientation abnormal condition value; Calculate the weighted sum of the power generation time period abnormal value and the power generation orientation abnormal condition value to obtain the photovoltaic panel detection value of the corresponding solar photovoltaic panel; compare the photovoltaic panel detection value with the preset photovoltaic panel detection threshold numerically. If the photovoltaic panel detection value exceeds the preset photovoltaic panel detection threshold, mark the corresponding solar photovoltaic panel as an abnormal power generation object; The specific analysis process of the energy storage detection module is as follows: Collect the actual power consumption and the output power of the corresponding energy storage device within a unit time, calculate the difference between the actual power consumption and the output power to obtain the self-loss value of electric energy; and collect the internal temperature and the generated noise data of the corresponding energy storage device and mark them as the energy storage internal temperature value and the energy storage generated noise value respectively, compare the energy storage internal temperature value and the energy storage generated noise value with the preset energy storage internal temperature threshold and the preset energy storage generated noise threshold respectively numerically. If the energy storage internal temperature value or the energy storage generated noise value exceeds the corresponding preset threshold, it is judged that the corresponding energy storage device is in an energy storage risk state; Obtain the total duration of the corresponding energy storage device in the energy storage risk state within a unit time and mark it as the energy storage risk time value, and mark the occurrence frequency of the single continuous duration of the corresponding energy storage device in the energy storage risk state exceeding the corresponding preset continuous duration threshold within a unit time as the energy storage risk frequency value; calculate the energy storage detection value by numerically calculating the self-loss value of electric energy, the energy storage risk time value and the energy storage risk frequency value, compare the energy storage detection value with the preset energy storage detection threshold numerically. If the energy storage detection value exceeds the preset energy storage detection threshold, mark the corresponding energy storage device as an abnormal energy storage object.

2. The integrated energy utilization management platform based on the optical storage DC flexible technology according to claim 1, characterized in that, The flexible power consumption management module has the functions of load forecasting, power quality analysis, reactive power optimization, and fault protection. Among them, load forecasting is the basic link of flexible power consumption management. By using load forecasting methods to analyze historical data and real-time data, the laws and trends of load changes are obtained, and the future load changes are predicted accordingly. Power quality analysis involves the real-time monitoring and analysis of power quality parameters including voltage, current, and frequency. By analyzing these data, power quality problems are discovered, including voltage fluctuations and harmonic pollution, and corresponding measures are taken to improve based on the discovered power quality problems. Reactive power optimization distributes the reactive power flow of the power system reasonably to maintain the voltage level of the system, improve voltage stability, and reduce active power losses. Fault protection discovers and processes potential fault risks through the real-time monitoring and analysis of the power system.

3. The integrated energy utilization management platform based on the optical storage DC flexible technology according to claim 2, characterized in that, The load forecasting methods adopted for load forecasting include the unit consumption method, trend extrapolation method, elasticity coefficient method, time series method, grey model method, Delphi method, neural network method, optimal combination forecasting method, and wavelet analysis forecasting technology. Reactive power optimization includes two aspects: the optimal planning of reactive power compensation devices and voltage reactive power optimization control.

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