New energy storage monitoring system

Abstract

The invention relates to the technical field of energy storage monitoring, in particular to a new energy storage monitoring system. The system comprises a data monitoring and collecting unit which is used for monitoring and collecting various parameters of energy storage equipment in real time by using a sensor, performing primary processing on the collected parameters and then transmitting the processed parameters to a data processing and analyzing unit; the data processing and analyzing unit checks the validity and integrity of the received data, analyzes the change trend of the data along with time, identifies an abnormal mode, generates a corresponding abnormal signal according to the abnormal mode, and transmits the abnormal signal to the fault early warning unit; the fault early warning unit gives an alarm for the received abnormal signal; the decision execution unit is used for adjusting the charging and discharging strategy of the energy storage equipment. In the system, timely anomaly detection can avoid equipment damage and reduce non-planed downtime, and the decision execution unit dynamically adjusts the charging and discharging strategy based on the state of the energy storage equipment, the electricity price and the power grid demand, so that the operation cost is reduced, and the service life of a battery is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage monitoring, and in particular to a new energy storage monitoring system. Background Art

[0002] As the world's attention to renewable energy continues to increase, the development and application of new energy sources such as solar energy and wind energy are becoming increasingly widespread. However, the intermittent and unstable nature of renewable energy generation requires energy storage technology to smooth power output and ensure the stable operation of the power system. In order to cope with these characteristics of renewable energy generation, energy storage technology has become an indispensable key link. The energy storage system can not only store excess electricity for emergency use, but also release energy during peak power demand to help balance the supply and demand of the power grid. In addition, energy storage technology can also provide backup power when the power system encounters emergencies, improving the reliability and stability of power supply. However, to give full play to the advantages of energy storage technology, existing technical and management challenges must be overcome. Due to the lack of effective real-time monitoring and anomaly detection methods in existing technologies, energy storage equipment may fail without being detected, resulting in equipment damage, and energy storage systems without a good coordination mechanism may not be able to effectively support the grid dispatching needs, especially during peak hours or in emergencies. Therefore, a new energy storage monitoring system is designed. Summary of the invention

[0003] The purpose of the present invention is to provide a new energy storage monitoring system to solve the problem raised in the above background technology that the energy storage system without effective real-time monitoring and abnormality detection means and good coordination mechanism may not be able to effectively support the grid scheduling needs.

[0004] To achieve the above object, the present invention provides a new energy storage monitoring system, comprising:

[0005] A data monitoring and acquisition unit, which is used to monitor and collect various parameters of the energy storage device in real time using sensors, and transmit the collected parameters to the data processing and analysis unit after preliminary processing;

[0006] A data processing and analysis unit, which checks the validity and integrity of the received data, evaluates the working status of the energy storage device based on the checked data, analyzes the change trend of the data over time, identifies abnormal patterns, generates corresponding abnormal signals based on the abnormal patterns, and outputs the abnormal signals to the fault warning unit;

[0007] A fault warning unit, which warns of received abnormal signals and sends alarm information to staff;

[0008] A decision execution unit, wherein the decision execution unit is used to adjust the charging and discharging strategy of the energy storage device according to the working state of the energy storage device and the current electricity price.

[0009] As a further improvement of the present technical solution, the various parameters include at least voltage, current, internal resistance, temperature and capacity.

[0010] As a further improvement of the technical solution, the data processing and analysis unit performs the following checks on the validity and integrity of the received data:

[0011] Validity check: clarify the validity criteria of parameters, set validation rules, test the metadata of data, and perform statistical tests on data;

[0012] Integrity check: Check whether the field is empty or exceeds the allowed range before data transmission, use checksums during data transmission; use database constraints for integrity check after data storage.

[0013] As a further improvement of the technical solution, the data processing and analysis unit evaluates the working status of the energy storage device according to the checked data, as follows:

[0014] First, evaluate the current state of charge and health of the energy storage device:

[0015]

[0016] in, For in time The state of charge at the moment; is the initial charge state; is the nominal capacity of the battery; is the current time; For in time The current at the moment; ;

[0017]

[0018] in, For in time Health status at all times; For current time The capacity of the battery.

[0019] As a further improvement of the technical solution, the data processing and analysis unit analyzes the change trend of data over time and identifies abnormal patterns, as follows:

[0020] For each parameter, record the mean and standard deviation over time:

[0021]

[0022]

[0023] in, is the average value; is the total number of observations; For the observations; ; is the standard deviation;

[0024] Define a threshold range, if the measured value If it exceeds the threshold range, it is marked as abnormal;

[0025]

[0026] in, For in time The simple moving average of is the window size; is the current time point; ;

[0027]

[0028] in, For in time Exponential smoothing value of ; is the smoothing coefficient; For in time The exponential smoothing value of .

[0029] As a further improvement of the technical solution, the alarm information in the fault warning unit includes a timestamp, anomaly type, location information, anomaly level and historical records.

[0030] As a further improvement of the present technical solution, the alarm information may be sent in the form of text messages, emails and APP.

[0031] As a further improvement of the technical solution, the fault warning unit also sets a threshold value within the normal working range for each parameter, and an alarm is also issued when a parameter exceeds the threshold value.

[0032] As a further improvement of the technical solution, the decision execution unit adjusts the charging and discharging strategy of the energy storage device according to the working state of the energy storage device and the current electricity price, as follows:

[0033] When the SOC is lower than 20%, the energy storage device is charged;

[0034] When the SOC is higher than 80%, the energy storage device is discharged;

[0035] When the SOC is higher than 20% and less than 80%, the charging and discharging strategy is adjusted according to external conditions;

[0036] At the same time, if the SOH is lower than 80%, reduce the frequency of deep charging and discharging.

[0037] As a further improvement of the technical solution, when the SOC is higher than 20% and less than 80%, the charging and discharging strategy is adjusted according to external conditions, as follows:

[0038] When the current electricity price is lower than the electricity price threshold, the energy storage device is charged.

[0039] When grid demand increases, the energy storage device is discharged.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] This new energy storage monitoring system can analyze the changing trend of data over time and identify abnormal patterns. Timely abnormality detection can avoid equipment damage and reduce unplanned downtime. The decision-making execution unit dynamically adjusts the charging and discharging strategy based on the status of the energy storage equipment, electricity prices and grid demand, which helps to reduce operating costs, extend battery life, and better cooperate with grid scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flowchart of the overall process of the present invention.

[0043] The meaning of each number in the figure is:

[0044] 1. Data monitoring and acquisition unit; 2. Data processing and analysis unit; 3. Fault warning unit; 4. Decision-making execution unit. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example

[0047] See also Figure 1 As shown, a new energy storage monitoring system is provided, including a data monitoring and acquisition unit 1, a data processing and analysis unit 2, a fault warning unit 3 and a decision execution unit 4;

[0048] The data monitoring and acquisition unit 1 is used to monitor and collect various parameters of the energy storage device in real time using sensors, and transmit the collected parameters to the data processing and analysis unit 2 after preliminary processing; the various parameters include at least voltage, current, internal resistance, temperature and capacity;

[0049] The data processing and analysis unit 2 checks the validity and integrity of the received data, evaluates the working status of the energy storage device based on the checked data, analyzes the change trend of the data over time, identifies the abnormal mode, generates a corresponding abnormal signal based on the abnormal mode, and inputs the abnormal signal to the fault warning unit 3;

[0050] The validity and integrity checks for the received data are as follows:

[0051] Validity check: clarify the validity criteria of parameters, such as date format, value range, text length, etc., to ensure that all data conforms to predefined formats and business rules, thereby improving the overall quality of data; set validation rules to ensure that data is in the correct format. For example, using regular expressions to validate email addresses can reduce processing failures or anomalies caused by incorrect data formats, test the metadata of the data to ensure that it conforms to the expected structure and format, and perform statistical tests on the data, such as using t-tests, f-tests, or chi-square tests to verify the distribution and differences of the data, to help discover potential data anomalies or trend changes, thereby avoiding system instability caused by abnormal data;

[0052] Integrity check: Checking whether a field is empty or exceeds the allowed range before data transmission can ensure the consistency and integrity of data at the source. Using checksums during data transmission can detect any changes or damage during data transmission to ensure the originality and accuracy of the data. Using database constraints for integrity checks after data storage can further ensure that the stored data meets specific conditions, such as uniqueness, non-empty, etc., which helps protect data from unauthorized modification or deletion.

[0053] Evaluate the working status of the energy storage equipment based on the checked data, as follows:

[0054] First, evaluate the current state of charge and health of the energy storage device:

[0055]

[0056] in, For in time The state of charge at the moment; is the initial charge state; is the nominal capacity of the battery; is the current time; For in time The current at the moment (positive for charging, negative for discharging); ;

[0057] The state of charge indicates the proportion of the battery's current remaining capacity to its total capacity. The ampere-hour integration method is a method of estimating the SOC by accumulating the battery's charge and discharge current. This method requires real-time monitoring of the battery's charge and discharge current and adds or subtracts based on the battery's initial SOC. It is applicable to batteries of different types and specifications. It only requires knowing the battery's nominal capacity. The current sampling frequency can be adjusted according to actual application requirements to improve accuracy or reduce power consumption.

[0058]

[0059] in, is the health status at time t; is the capacity of the battery at the current time t;

[0060] The health status indicates the percentage of the battery's current capacity relative to its new capacity. The calculation of the health status is usually based on the comparison of the remaining capacity of the battery with the new capacity. Based on the direct comparison of the current capacity of the battery with the new capacity, the result is intuitive and easy to understand. By regularly testing the actual capacity of the battery to evaluate the health status, it can reflect the true health status of the battery. The health status results can help operation and maintenance personnel determine whether the battery needs to be replaced or maintained, thereby extending the battery life.

[0061] By calculating the state of charge and health status, the energy storage monitoring system can effectively manage and optimize the energy storage equipment, thereby improving the reliability and economy of the entire energy storage system.

[0062] Analyze data trends over time and identify abnormal patterns, as follows:

[0063] For each parameter, record the mean and standard deviation over time:

[0064]

[0065]

[0066] in, is the average value; is the total number of observations; For the observations; ; is the standard deviation;

[0067] Define a threshold range, if the measured value If it exceeds the threshold range, it is marked as abnormal;

[0068]

[0069] in, For in time The simple moving average of is the window size; is the current time point; ;

[0070] The simple moving average smoothes the data by taking the arithmetic mean of a series of consecutive data points, which helps to eliminate the impact of short-term fluctuations and makes long-term trends more obvious; if the SMA values ​​at multiple consecutive time points are increasing, it indicates that the data has an upward trend; if the SMA values ​​at multiple consecutive time points are decreasing, it indicates that the data has a downward trend; if the SMA values ​​fluctuate within a narrow range, it indicates that the data is relatively stable and there is no obvious trend.

[0071]

[0072] in, For in time Exponential smoothing value of ; is the smoothing coefficient; For in time Exponential smoothing value of ;

[0073] Exponential smoothing takes into account not only the current observation, but also all previous observations, and assigns higher weights to more recent data points. This means that the latest observation will have the greatest impact on the current smoothed value, while the impact of earlier observations will gradually weaken. If the ES values ​​at multiple consecutive time points are increasing, it indicates that the data has an upward trend; if the ES values ​​at multiple consecutive time points are decreasing, it indicates that the data has a downward trend; if the ES values ​​fluctuate within a narrow range, it indicates that the data is relatively stable and there is no obvious trend;

[0074] In energy storage system monitoring, these two methods can help identify trends or periodic changes in data and can be used to detect anomalies. For example, if the moving average or exponential smoothing of a parameter shows an abnormal increase or decrease trend, this may be an early sign of a problem with the energy storage device. By continuously monitoring these smoothed data, problems can be detected and resolved early, thus avoiding potential equipment failures.

[0075] The fault warning unit 3 alarms the received abnormal signal and sends an alarm message to the staff; the alarm message includes a timestamp, anomaly type, location information, anomaly level and historical records; the timestamp records the specific time when the anomaly occurs, helping to track the moment when the event occurs; the anomaly type describes the specific type of abnormality detected, such as overtemperature, overvoltage, undervoltage, increased internal resistance, SOC abnormality, etc.; the location information indicates the location or identifier of the specific energy storage device where the abnormality occurs, which is convenient for rapid positioning; the abnormality is graded according to its severity, such as warning, alarm, emergency and other different levels; the historical records contain trend charts of relevant parameter changes before and after the abnormality or other historical data, so as to facilitate the analysis of the root cause;

[0076] Alarm information can be sent via SMS, email and APP.

[0077] The fault warning unit 3 also sets a threshold value within the normal working range for each parameter, and an alarm is also issued when a parameter exceeds the threshold value.

[0078] The decision execution unit 4 is used to adjust the charging and discharging strategy of the energy storage device according to the working status of the energy storage device and the current electricity price.

[0079] According to the working status of the energy storage equipment and the current electricity price, the charging and discharging strategy of the energy storage equipment is adjusted as follows:

[0080] When the SOC is lower than 20%, the energy storage device is charged until the SOC reaches a safe level; prevent the battery from over-discharging, because deep discharge will damage the battery and shorten the battery life, and ensure that the energy storage device has enough power at any time to cope with sudden demands;

[0081] When the SOC is higher than 80%, the energy storage device is discharged to release excess power to meet the needs of the grid or balance the supply and demand of electricity. When the SOC is higher, the excess power can be used by discharging to reduce waste. During the peak period of grid demand, the energy storage device can be used as a backup power source to relieve grid pressure and improve grid stability. If the device is discharged when the electricity price is high, it can save electricity bills and even generate revenue through electricity sales.

[0082] When the SOC is higher than 20% and less than 80%, the charging and discharging strategy is adjusted according to external conditions;

[0083] At the same time, if the SOH is lower than 80%, reduce the frequency of deep charge and discharge, and try to avoid the SOC staying in an extremely low or extremely high state for a long time; by reducing deep charge and discharge, the loss of chemical reactions inside the battery can be reduced, thereby extending the battery life; extended battery life means less frequent battery replacement, thereby reducing maintenance and replacement costs; healthy batteries can work more reliably and reduce service interruptions caused by battery failure;

[0084] When the SOC is higher than 20% and less than 80%, the charging and discharging strategy is adjusted according to external conditions, as follows:

[0085] When the current electricity price is lower than the electricity price threshold, the energy storage device is charged. When the electricity market price is low, it means that the cost of purchasing electricity is low at this time. In this case, the system will choose to charge the energy storage device. This is done to store energy when the electricity price is cheap so that this stored energy can be used when the electricity price rises, thereby saving costs and reducing costs.

[0086] When the demand on the grid increases, the energy storage device is discharged to support the grid balance. Because when the demand for electricity rises, the grid may face pressure, resulting in unstable or insufficient power supply. At this time, the system will release energy from the energy storage device to meet the demand of the grid and reduce the pressure on the grid. The system communicates with the grid management system to monitor the changes in the grid load and starts the discharge process when the load increase is detected.

[0087] Since electricity prices and grid demand are constantly changing factors, the decision execution unit 4 needs to monitor these external conditions in real time and dynamically adjust the charging and discharging strategy based on the latest information. In order to avoid the impact of frequent switching of charging and discharging states on battery life, the system may set a certain lag period or adopt a smooth transition method to make the transition between charging and discharging states more gradual.

[0088] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A new energy storage monitoring system, characterized in that: include: A data monitoring and acquisition unit (1), the data monitoring and acquisition unit (1) being used to monitor and collect various parameters of the energy storage device in real time using sensors, and to transmit the collected parameters to the data processing and analysis unit (2) after preliminary processing; A data processing and analysis unit (2), wherein the data processing and analysis unit (2) checks the validity and integrity of the received data, evaluates the working state of the energy storage device based on the checked data, analyzes the change trend of the data over time, identifies abnormal patterns, generates corresponding abnormal signals based on the abnormal patterns, and outputs the abnormal signals to the fault warning unit (3); A fault warning unit (3), the fault warning unit (3) alarms the received abnormal signal and sends alarm information to staff; A decision execution unit (4), wherein the decision execution unit (4) is used to adjust a charging and discharging strategy of the energy storage device according to the working state of the energy storage device and the current electricity price.

2. A new energy storage monitoring system according to claim 1, characterized in that: The various parameters include at least voltage, current, internal resistance, temperature and capacity.

3. A new energy storage monitoring system according to claim 2, characterized in that: The data processing and analysis unit (2) performs a check on the validity and integrity of the received data as follows: Validity check: clarify the validity criteria of parameters, set validation rules, test data metadata, and perform statistical tests on data; Integrity check: Check whether the field is empty or exceeds the allowed range before data transmission, use checksums during data transmission; use database constraints for integrity check after data storage.

4. A new energy storage monitoring system according to claim 3, characterized in that: The data processing and analysis unit (2) evaluates the working status of the energy storage device based on the checked data, specifically as follows: First, evaluate the current state of charge and health of the energy storage device: in, For in time The state of charge at the moment; is the initial charge state; is the nominal capacity of the battery; is the current time; For in time The current at the moment; ; in, For in time Health status at all times; For current time The capacity of the battery.

5. A new energy storage monitoring system according to claim 4, characterized in that: The data processing and analysis unit (2) analyzes the trend of data changes over time and identifies abnormal patterns, as follows: For each parameter, record the mean and standard deviation over time: in, is the average value; is the total number of observations; For the observations; ; is the standard deviation; Define a threshold range, if the measured value If it exceeds the threshold range, it is marked as abnormal; in, For in time The simple moving average of is the window size; is the current time point; ; in, For in time Exponential smoothing value of ; is the smoothing coefficient; For in time The exponential smoothing value of .

6. A new energy storage monitoring system according to claim 5, characterized in that: The alarm information in the fault warning unit (3) includes a timestamp, anomaly type, location information, anomaly level and historical records.

7. A new energy storage monitoring system according to claim 6, characterized in that: The alarm information is sent in the form of text messages, emails and APP.

8. A new energy storage monitoring system according to claim 7, characterized in that: The fault warning unit (3) also sets a threshold value within the normal working range for each parameter, and when a parameter exceeds the threshold value, an alarm is also issued.

9. A new energy storage monitoring system according to claim 8, characterized in that: The decision execution unit (4) adjusts the charging and discharging strategy of the energy storage device according to the working state of the energy storage device and the current electricity price, as follows: When the SOC is lower than 20%, the energy storage device is charged; When the SOC is higher than 80%, the energy storage device is discharged; When the SOC is higher than 20% and less than 80%, the charging and discharging strategy is adjusted according to external conditions; At the same time, if the SOH is lower than 80%, reduce the frequency of deep charging and discharging.

10. A new energy storage monitoring system according to claim 9, characterized in that: When the SOC is higher than 20% and lower than 80%, the charge and discharge strategy is adjusted according to external conditions, as follows: When the current electricity price is lower than the electricity price threshold, the energy storage device is charged. When grid demand increases, the energy storage device is discharged.

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