A method and system for evaluating and analyzing grid regulation capability of an energy storage power station

Abstract

The application provides a kind of energy storage power station grid regulation capacity evaluation analysis method and system, belongs to energy storage power station technical field, specifically includes: based on energy storage regulation strategy, determine the energy storage regulation power interval of super capacitor for energy storage regulation processing, and take it as matching power interval, based on the stability of energy storage regulation power of battery energy storage device in different remaining power interval and energy storage regulation data, determine the adaptive remaining power interval for regulation capacity evaluation analysis in matching power interval, use the adaptive remaining power interval data of different matching power interval, determine whether it is necessary to carry out the control processing of energy storage space of super capacitor, improve the efficiency of regulation capacity evaluation analysis processing of energy storage system.

Description

Technical Field

[0001] This invention belongs to the field of energy storage power station technology, and in particular relates to a method and system for evaluating and analyzing the grid regulation capability of energy storage power stations. Background Technology

[0002] The regulation capability of energy storage power stations is crucial to the operational stability of the power grid. In the invention patent application CN202510269501.8, "A Comprehensive Evaluation Method for the Operational Effect of Power Grid-Side Energy Storage Power Stations", each energy storage power station is divided into regions. The regions are clustered using a clustering method. The coordination coefficient of the energy storage power station is calculated based on the clustering results. The weights of the regulation coefficient and coordination coefficient are dynamically adjusted using a weighted adaptive algorithm. The comprehensive evaluation index is calculated based on the adjusted weights.

[0003] When evaluating and analyzing the grid regulation capability of energy storage power stations, existing technical solutions often focus on the regulation capability of battery systems. However, for energy storage power stations that use multiple power sources, such as hybrid energy storage systems composed of supercapacitors and battery energy storage devices, the reliability of energy storage regulation cannot be guaranteed if the regulation capability of supercapacitors is not evaluated and analyzed.

[0004] To address the aforementioned technical issues, this application provides a method and system for evaluating and analyzing the grid regulation capability of energy storage power stations. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a method for evaluating and analyzing the grid regulation capability of energy storage power stations, which includes: S1 determines the intervention data of the supercapacitor of the energy storage power station based on the energy storage regulation data of the energy storage power station. When it is determined that the regulation capability of the supercapacitor of the energy storage power station needs to be considered based on the intervention data, the energy storage regulation strategy of the supercapacitor is determined based on the compatibility between the energy storage regulation data of the energy storage power station and the battery energy storage device of the energy storage power station. S2 determines the energy storage regulation power range for the supercapacitor to perform energy storage regulation processing based on the energy storage regulation strategy, and uses it as the matching power range. Based on the stability of the energy storage regulation power of the battery energy storage device in different remaining power ranges and the energy storage regulation data, it determines the suitable remaining power range for regulation capability evaluation and analysis within the matching power range. S3 uses the remaining power range data of different matching power ranges to determine whether it is necessary to control the energy storage space of the supercapacitor.

[0006] The beneficial effects of this invention are as follows: Based on the stability of the energy storage regulation power of the battery energy storage device in different remaining power ranges and the energy storage regulation data, a suitable remaining power range for regulation capability evaluation and analysis is determined within the matching power range. This, combined with the stability of the output power of the battery energy storage device during energy storage regulation in different remaining power ranges, is used to determine the suitable remaining power range for supercapacitor regulation capability evaluation. This avoids the inability to effectively evaluate the maximum regulation time and regulation stability of the supercapacitor within the matching power range due to unstable output power of the battery energy storage device, thereby improving the reliability of supercapacitor energy storage regulation processing.

[0007] By utilizing the remaining capacity data of different matching power ranges, it is determined whether the energy storage space of the supercapacitor needs to be controlled. By controlling the energy storage space of the supercapacitor, the technical problem of poor energy storage regulation efficiency caused by a large number of matching power ranges or a small number of remaining capacity ranges is avoided, thus ensuring the efficiency of the energy storage regulation of the supercapacitor.

[0008] Furthermore, the energy storage regulation data includes historical regulation processes of the energy storage power station and data on the intervention of supercapacitors in different historical regulation processes.

[0009] Furthermore, when the energy storage regulation power of the battery energy storage device of the energy storage power station is less than the energy storage regulation power required by the energy storage regulation demand, the supercapacitor is controlled to intervene and perform energy storage regulation together.

[0010] Furthermore, it is determined that the regulation capability of the supercapacitor in the energy storage power station needs to be considered, specifically including: Based on the energy storage regulation data, the intervention data of the supercapacitor in different historical regulation processes are determined; Based on the intervention data, the energy storage regulation duration of the supercapacitor in different historical regulation processes is determined; Based on the energy storage regulation duration of supercapacitors in different historical regulation processes, determine whether the regulation capability of supercapacitors in energy storage power stations needs to be considered.

[0011] Furthermore, it is necessary to determine whether control measures are needed for the energy storage space of the supercapacitor, specifically including: Based on the matching power range's remaining power range data, the number of matching power ranges is determined. Based on the energy storage regulation power range during the period when there is no adjustment deviation in the adapted remaining power range, the adaptation adjustment range corresponding to the matching power range in different adapted remaining power ranges is determined; Based on the overlap between the matching power range and the target range corresponding to different remaining power ranges, the matching power ranges that fall within the target range are determined. Based on the number of matching power ranges that all fall within the target range, the adjustment and adaptation coefficients of different matching power ranges are determined. Based on the adjustment and adaptation coefficients of different matching power ranges, it is determined whether the energy storage space of the supercapacitor needs to be controlled.

[0012] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for evaluating and analyzing the grid regulation capability of an energy storage power station when running the computer program.

[0013] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart of a method for evaluating and analyzing the grid regulation capability of an energy storage power station. Figure 2 This is a flowchart for determining the regulation capability of supercapacitors in energy storage power stations that needs to be considered. Figure 3 This is a flowchart of a method for determining the remaining power range for adjusting capability assessment and analysis. Detailed Implementation

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a method for evaluating and analyzing the grid regulation capability of an energy storage power station is provided, specifically including: S1 determines the intervention data of the supercapacitor of the energy storage power station based on the energy storage regulation data of the energy storage power station. When it is determined that the regulation capability of the supercapacitor of the energy storage power station needs to be considered based on the intervention data, the energy storage regulation strategy of the supercapacitor is determined based on the compatibility between the energy storage regulation data of the energy storage power station and the battery energy storage device of the energy storage power station. Furthermore, the energy storage regulation data includes historical regulation processes of the energy storage power station and data on the intervention of supercapacitors in different historical regulation processes.

[0020] It should be noted that when the energy storage regulation power of the battery energy storage device of the energy storage power station is less than the energy storage regulation power required by the energy storage regulation demand, the supercapacitor will be controlled to intervene and perform energy storage regulation together.

[0021] Specifically, such as Figure 2 As shown, the regulation capability of the supercapacitor in the energy storage power station needs to be considered, specifically including: Based on the energy storage regulation data, the intervention data of the supercapacitor in different historical regulation processes are determined; Based on the intervention data, the energy storage regulation duration of the supercapacitor in different historical regulation processes is determined; Based on the energy storage regulation duration of supercapacitors in different historical regulation processes, determine whether the regulation capability of supercapacitors in energy storage power stations needs to be considered.

[0022] It is understandable that the regulation capacity of the supercapacitor in the energy storage power station needs to be considered based on the energy storage regulation duration of the supercapacitor in different historical regulation processes. Specifically, this includes: Based on the energy storage regulation duration of supercapacitors in different historical regulation processes, the proportion of the energy storage regulation duration of supercapacitors in different historical regulation processes is determined and used as a regulation demand factor. Based on the average value of the regulation demand factor in different historical regulation processes, determine whether the regulation capability of the supercapacitor in the energy storage power station needs to be considered.

[0023] Specifically, when the average value of the regulation demand factor in different historical regulation processes is greater than the preset demand factor threshold, for example, greater than 0.1, if the energy storage regulation capability of the supercapacitor is poor, it will lead to a decrease in the overall reliability of energy storage regulation. Therefore, it is determined that the regulation capability of the supercapacitor of the energy storage power station needs to be considered.

[0024] A large grid-side energy storage power station's core configuration is a hybrid energy storage system combining lithium iron phosphate batteries and supercapacitors. To optimize future dispatch strategies, the power station's energy management system (EMS) needs to evaluate the historical performance of the supercapacitors.

[0025] First, EMS retrieved the historical operation logs from the previous month and obtained 100 complete records of energy storage regulation processes.

[0026] Step 1: From these 100 records, the EMS filters out all events where the battery output power could not meet the dispatch command, leading to the intervention of the supercapacitor. For example, in regulation event #0823, the dispatch command required a discharge power of 8MW, but the battery was limited by its SOC state, and could only output a maximum of 6.5MW. In this case, the EMS record shows that the supercapacitor intervened, making up the 1.5MW shortfall. This information constitutes the intervention data for event #0823.

[0027] Step 2: Based on the intervention data above, EMS calculates the energy storage regulation duration of the supercapacitor in each event. For event #0823, the supercapacitor operated continuously for 12 minutes from the intervention time until the battery power recovered and all system demands were met by the battery before shutting down. Therefore, the energy storage regulation duration for event #0823 is 12 minutes.

[0028] Step 3: Next, EMS needs to determine whether the supercapacitor's capabilities should be a key focus.

[0029] Sub-step 3.1: The EMS calculates the regulation demand factor for each event. The total energy storage regulation time for event #0823 is 35 minutes, of which the capacitor operates for 12 minutes. Therefore, its regulation demand factor is 12 / 35 ≈ 0.34. Similarly, the EMS performs this calculation for all 100 events, obtaining a series of factors, such as a factor of 0.05 for event #0012 and a factor of 0.6 for event #0056, etc.

[0030] Sub-step 3.2: The EMS calculates the arithmetic mean of all regulation demand factors during these 100 historical regulation processes, yielding a result of 0.15. The system presets a decision threshold (e.g., 0.1). Since the calculated average regulation demand factor of 0.15 is greater than 0.1, this indicates that, on average, over the past month, each regulation task required reliance on supercapacitors to compensate for battery shortages for 15% of the time. This is a considerably high percentage, meaning that supercapacitors have become a crucial link in ensuring the timely and sufficient completion of regulation tasks. Therefore, the EMS determines that the regulation capability of the supercapacitors in the energy storage power station must be given priority consideration in subsequent scheduling strategy formulation and health status assessment. For example, the monitoring frequency of their capacity should be increased, or a certain amount of energy space should be reserved for them in the scheduling plan to prevent performance degradation from leading to overall regulation failure.

[0031] Specifically, the method for determining the energy storage regulation strategy of the supercapacitor is as follows: Based on the energy storage regulation data of the energy storage power station, the energy storage regulation power of the power grid in different historical regulation processes is determined; Energy storage regulation power: refers to the power value that an energy storage power station is required to supply to or absorb from the grid during each historical regulation event, usually given by grid dispatch instructions. It reflects the grid's real-time power demand on the energy storage power station.

[0032] Developing a regulation strategy for supercapacitors first requires clarifying "what to regulate." The energy storage regulation power directly reflects grid demand and serves as the fundamental input for all subsequent analyses. Only by understanding the true historical demand can the response range of the capacitor be planned in a targeted manner.

[0033] During a frequency regulation ancillary service, the grid issued an instruction to the energy storage power station, requiring it to charge at a power of 3MW. This "3MW" is the energy storage regulation power in this historical regulation process. Similarly, in another day's peak shaving scenario, the grid might require discharging at a power of 10MW; this "10MW" is the energy storage regulation power in another historical regulation process.

[0034] The energy storage regulation power range that is greater than the rated output power of the battery energy storage device of the energy storage power station is taken as the target power range. Based on the energy storage regulation power, the historical regulation duration within the target power range is determined. Target power range: This is a power range where the minimum value is the rated output power of the battery energy storage device (i.e., the maximum power that the battery can stably output), and the maximum value is the maximum value among all historical energy storage regulation powers. This range is divided into several consecutive, non-overlapping sub-ranges at equal intervals. For example, if the battery's rated power is 5MW and the historical maximum demand is 15MW, then the 5-15MW range can be divided into 10 equal intervals: 5-6MW, 6-7MW...14-15MW, each of which is a target power range.

[0035] The rated output power of a battery energy storage device is its upper limit. When the grid's demand for energy storage regulation power exceeds this limit, supercapacitors are needed to fill the power gap. Therefore, the focus should naturally be on the demand "greater than the battery's rated power." By dividing the demand into equal intervals, this demand can be refined into several specific power levels, facilitating detailed analysis.

[0036] It precisely focuses on the scenarios where supercapacitors truly need to function (i.e., scenarios where battery capacity is insufficient), and discretizes continuous demand by dividing the power range, providing a structured framework for subsequent statistical analysis and strategy formulation.

[0037] Suppose a certain energy storage power station has a rated battery output power of 5MW. In the past month's historical records, the maximum energy storage regulation power issued by the grid was 15MW. The system divides the range from 5MW to 15MW into 10 equally spaced target power intervals, namely [5,6), [6,7)...[14,15] (unit: MW). Then, the system iterates through all historical regulation events and calculates the total duration of all events where the energy storage regulation power falls within the [5,6) interval, for example, accumulating to 10 hours. This "10 hours" is the historical regulation duration within the first target power interval. Similarly, the historical regulation durations for the remaining 9 intervals can be calculated.

[0038] The energy storage regulation strategy of the supercapacitor is determined by utilizing the historical adjustment duration within the target power range.

[0039] It is understood that the target power range is the energy storage regulation range constructed based on the minimum rated output power of the battery energy storage device and the maximum value of the energy storage regulation power of the power grid in different historical regulation processes. It is divided into equal intervals. The number of target power ranges is a preset number. In one possible embodiment, the preset number is 10.

[0040] It should be noted that the energy storage regulation strategy of the supercapacitor is determined by utilizing the historical adjustment time within the target power range, specifically including: The distribution clustering factor of the target power range is determined based on the proportion of the historical adjustment duration within the target power range to the total historical adjustment duration within different target power ranges. Distribution clustering factor: This is an indicator used to measure the degree of concentration or dispersion of historical adjustment duration within each target power interval. Essentially, it is the ratio of the historical adjustment duration within each interval to the total duration of all intervals, i.e., the probability distribution of the duration across intervals. By comparing the magnitude of this factor across different intervals, it can be determined whether demand is concentrated in a few intervals or evenly distributed across all intervals.

[0041] Knowing only the number of hours in each interval (historical regulation duration) is insufficient; it is necessary to determine the relative importance of these durations within the overall context. The distribution clustering factor, through normalization, clearly reveals the distribution characteristics of power demand, providing a quantitative basis for determining "which intervals are more important."

[0042] Converting absolute duration into relative proportion eliminates the influence of total duration, making the distribution characteristics of different time periods and different power plants comparable, and providing a key criterion for subsequent strategic decisions.

[0043] Continuing the previous example, the historical adjustment durations of the 10 target power intervals are calculated to total 50 hours. Therefore, the duration of the first interval [5,6) is 10 hours, and its distribution clustering factor is 10 / 50 = 0.2. If the duration of the interval [14,15] is 1 hour, its factor is 1 / 50 = 0.02. The sum of the factors for all 10 intervals is 1.

[0044] When the absolute value of the difference between the distribution aggregation factors of different target power intervals meets the requirements, for example, when the absolute value of the difference between the distribution aggregation factors of different target power intervals is less than 0.05, the adjustment of different target power intervals is relatively dispersed. Therefore, all target power intervals are determined as matching power intervals. When the absolute values ​​of the differences in the distribution aggregation factors of different target power ranges are not uniform and meet the requirements, the target power range whose historical adjustment duration is within the preset duration range will be used as the matching power range.

[0045] In one possible embodiment, the target power range with a historical adjustment duration of more than 5 hours within the most recent month is used as the matching power range.

[0046] Matching power range: This refers to the target power range ultimately selected for the supercapacitor to achieve a focused or full response. The determination method depends on the overall characteristics of the distribution clustering factor. Scenario 1 (Dispersed Demand): If the distribution clustering factors of all target power ranges are very close to each other (i.e., the difference between the maximum and minimum values ​​is less than a preset threshold, such as 0.05), it indicates that the historical power demand is distributed fairly evenly and dispersedly across all power levels. In this case, in order to cope with any possible demand, the supercapacitor's regulation strategy should cover the entire target power range, that is, all ranges are selected as matching power ranges.

[0047] Scenario 2 (Demand Clustering): If the distribution clustering factors of each target power range differ significantly (i.e., the "very close" condition mentioned above is not met), it indicates that power demand has obvious clustering characteristics. In this case, the strategy should focus on the ranges with strong demand, that is, only select those target power ranges whose historical adjustment duration exceeds a certain preset duration threshold (e.g., 5 hours) as the matching power ranges.

[0048] Supercapacitors have limited energy and cycle life, making it neither economical nor necessary to provide a uniform response across all possible power ranges. This step achieves adaptive strategy adjustment by distinguishing between two typical scenarios: "dispersed" and "clustered." When demand is dispersed, the strategy aims for full-coverage response capability to ensure system flexibility; when demand is clustered, the strategy focuses on key coverage, concentrating valuable capacitor resources in high-frequency demand ranges to achieve optimal resource allocation.

[0049] Continuing with the previous example, the preset clustering threshold is 0.05 (i.e., the maximum difference between factors is less than 0.05 and is considered dispersion), and the preset duration threshold is 5 hours.

[0050] Example of Scenario 1: If the calculated distribution clustering factors for the 10 intervals are 0.11, 0.10, 0.09, 0.10, 0.11, 0.09, 0.10, 0.10, 0.11, and 0.09 respectively, the difference between the maximum value of 0.11 and the minimum value of 0.09 is 0.02, which is less than 0.05. This indicates dispersed demand, therefore all 10 intervals are identified as matching power intervals. The energy storage regulation strategy is: the supercapacitor must have the capability for rapid response across the full power range of 5MW to 15MW.

[0051] Example of Scenario 2: If the calculated distribution clustering factors differ significantly, with the historical adjustment duration of the [5,6) interval being 10 hours (factor 0.2), the [6,7) interval being 15 hours (factor 0.3), and the durations of the remaining intervals all being less than 2 hours, this is considered demand clustering. In this case, the intervals with durations exceeding 5 hours, namely the [5,6) and [6,7) intervals, are identified as the matching power intervals. The energy storage regulation strategy is as follows: Supercapacitors should focus on and optimize their response capability to power demands of 5-7MW. For higher power demands, different management strategies can be adopted (such as coordinated scheduling with batteries or as a backup).

[0052] S2 determines the energy storage regulation power range for the supercapacitor to perform energy storage regulation processing based on the energy storage regulation strategy, and uses it as the matching power range. Based on the stability of the energy storage regulation power of the battery energy storage device in different remaining power ranges and the energy storage regulation data, it determines the suitable remaining power range for regulation capability evaluation and analysis within the matching power range. Specifically, such as Figure 3 As shown, the method for determining the remaining power range for the adjustment capability assessment analysis is as follows: Based on the stability of the energy storage regulation power of the battery energy storage device within the remaining power range, determine the fluctuation of the output power of the battery energy storage device in different energy storage regulation power ranges within the remaining power range. Remaining capacity range: refers to the continuous range of the battery's state of charge (SOC) divided at certain intervals. For example, the SOC from 0% to 100% can be divided into 10 intervals: [0%, 10%), [10%, 20%)...[90%, 100%). Each interval represents a different depth of charge or depth of discharge of the battery.

[0053] Energy storage regulation power range: refers to the continuous sub-ranges in which the actual output power of the battery is divided according to its magnitude within a specific range of remaining power. For example, within a certain SOC range, the power from 0 to the rated power is divided into [0, 1MW), [1, 2MW), etc.

[0054] Fluctuation: refers to the degree of deviation or oscillation amplitude of the actual output power of the battery from the target command power within a certain energy storage regulation power range of a certain remaining power range. It is usually described by analyzing statistical characteristics such as variance, standard deviation or overshoot of power data.

[0055] Batteries exhibit different electrochemical characteristics at different states of charge (SOC), resulting in variations in output stability. Furthermore, the battery's internal control strategies and physical limitations also influence output fluctuations at different power levels. Therefore, a finer segmentation based on both SOC and power level is necessary to accurately pinpoint the conditions under which the battery exhibits unstable performance.

[0056] Assume the battery's rated power is 10MW. We focus on a specific remaining capacity range [20%, 30%]. Within this range, we divide the energy storage regulation power into two ranges: [0, 5MW) and [5MW, 10MW]. By analyzing historical data, we found that when the battery's SOC is between 20% and 30% and the output power is above 5MW, the actual power curve often fluctuates significantly; while in the lower power range, it remains stable. This comparison illustrates the fluctuations within different power ranges.

[0057] Based on the fluctuations, determine the adjustment deviation period within the energy storage regulation power range within the remaining power range; Regulation deviation period: refers to the time segment within a specific energy storage regulation power range during which the deviation between the battery's actual output power and its target commanded power continuously exceeds the allowable range. For example, when the absolute value of the deviation exceeds 5% of the rated power and the duration exceeds 1 second, this period is marked as a regulation deviation period.

[0058] "Volatility" is a macroscopic description, while "adjustment deviation period" concretizes this volatility into statistically significant time segments. Only by transforming continuous time series data into discrete, quantifiable deviation events can subsequent statistical analysis be performed.

[0059] Continuing with the previous example, within the SOC [20%, 30%] and power range [5MW, 10MW], there is a 10-second adjustment process, during which the actual power deviates from the target value by more than 5% for 3 seconds. These 3 seconds are marked as an adjustment deviation period within this power range.

[0060] Based on the adjustment deviation time periods in different energy storage regulation power ranges within the remaining power range, the proportion of the total duration of the adjustment deviation time periods in different energy storage regulation power ranges to the total energy storage regulation time period in the energy storage regulation power range is determined and used as the adjustment deviation ratio coefficient. Regulation deviation proportionality coefficient: This is a dimensionless coefficient, calculated as follows: within a specific remaining charge range and a specific energy storage regulation power range, the cumulative duration of all regulation deviation periods is divided by the total energy storage regulation time within that power range (i.e., the total time the battery operates under this SOC and power combination). This coefficient reflects the proportion of time the battery output is unstable under this specific operating condition.

[0061] Knowing only that there is a 3-second deviation does not indicate the severity of the problem. If the total settling time is only 3 seconds, then the deviation rate is 100%, which is extremely serious; if the total settling time is 10 hours, then the 3-second deviation is almost negligible. Therefore, a relative proportion needs to be introduced to normalize and measure stability under different operating conditions.

[0062] Continuing the previous example, within the SOC [20%, 30%] and power range [5MW, 10MW], the total adjustment time is 100 hours, with a total adjustment deviation period of 5 hours. Therefore, the adjustment deviation proportionality coefficient is 5 / 100 = 0.05. In another power range [0, 5MW), the total adjustment time is 200 hours, the total deviation period is 2 hours, and the coefficient is 0.01.

[0063] Based on the adjustment deviation ratio coefficient, determine whether the remaining power range is a suitable remaining power range for adjustment capability assessment and analysis.

[0064] It is understandable that when there is an energy storage regulation power range in the remaining current range where the regulation deviation ratio does not meet the requirements, for example, when there is an energy storage regulation power range where the regulation deviation ratio is greater than 0.2, then it is determined that the remaining power range does not belong to the suitable remaining power range for regulation capability assessment and analysis.

[0065] The regulation deviation proportional coefficient does not meet the requirements: This means that the regulation deviation proportional coefficient within a certain energy storage regulation power range exceeds the preset qualified threshold (e.g., 0.2). This implies that under this operating condition, the battery's unstable time accounts for too high a proportion, and its output behavior is not representative or reliable, making it unsuitable as an evaluation basis.

[0066] This is the first screening hurdle. If even one sub-range within a remaining power range exhibits extremely poor stability (excessively high coefficient), then when evaluating the entire SOC range, data contamination in that sub-range will distort the evaluation results. Therefore, such ranges must be excluded first.

[0067] The preset non-compliance threshold is 0.2. Within the SOC [20%, 30%], the coefficient for the power range [5MW, 10MW] is 0.05 (qualified), and the coefficient for [0, 5MW) is 0.01 (qualified). There are no ranges with coefficients greater than 0.2, so proceed to the next step. If, within another SOC range [80%, 90%], a power range has a coefficient as high as 0.3, then that SOC range is directly judged as "incompatible".

[0068] Furthermore, when there is no energy storage regulation power range in the remaining current range where the regulation deviation ratio coefficient does not meet the requirements, the regulation deviation value of the remaining current range will be determined by the average value of the regulation deviation ratio coefficients in different energy storage regulation power ranges. When the regulation deviation value of the remaining current range is greater than a preset deviation threshold, for example, greater than 0.1, it is determined that the remaining power range does not belong to the suitable remaining power range for regulation capability assessment and analysis. Additionally, it can be understood that when the adjustment deviation value of the remaining current range is not greater than the preset deviation threshold, the remaining power range is determined to be an adaptable remaining power range that can be used for adjustment capability assessment and analysis.

[0069] Regulation deviation value: For a remaining capacity range that has passed the first screening, the regulation deviation ratio coefficients of all energy storage regulation power ranges contained within it are arithmetically averaged. The resulting value is the regulation deviation value for that SOC range. It represents the average instability of the battery output within that SOC range.

[0070] The first screening only eliminates extreme cases, but there may still be slight instability within the range, which, when accumulated, is still not negligible. By calculating the average value, the overall stability level of the SOC range can be comprehensively assessed.

[0071] Within the SOC[20%,30%], there are two power ranges with coefficients of 0.05 and 0.01 respectively. Therefore, the adjustment deviation value is (0.05+0.01) / 2 = 0.03.

[0072] Sub-step 4.3: Determine whether the adjustment deviation value is greater than the preset deviation threshold.

[0073] Preset deviation threshold: A pre-set critical value (e.g., 0.1) used to determine the overall stability of the SOC range. When the adjustment deviation value is less than or equal to this threshold, the SOC range is considered to be generally stable and suitable as the range of remaining power for adjustment capability assessment and analysis; otherwise, the range is considered to be not stable enough and is not suitable for assessment.

[0074] This is the final decision-making stage. By comparing the comprehensive stability indicators with an objective standard, a clear "yes / no" conclusion is reached, providing a reliable SOC operating range for subsequent battery regulation capability evaluation.

[0075] The preset deviation threshold is 0.1. The adjustment deviation value of SOC[20%,30%] is 0.03, which is less than 0.1, so it is determined to be suitable for the remaining power range.

[0076] S3 uses the remaining power range data of different matching power ranges to determine whether it is necessary to control the energy storage space of the supercapacitor.

[0077] Specifically, determining whether control measures are needed for the energy storage space of the supercapacitor includes: Based on the matching power range's remaining power range data, the number of matching power ranges is determined. Matching power range: This refers to the power range (e.g., 5-8 MW) that the supercapacitor needs to respond to in the preceding analysis. These ranges are the core basis for formulating supercapacitor regulation strategies.

[0078] Suitable Remaining Capacity Range: This refers to the state of charge (SOC) range (e.g., [20%, 30%], [30%, 40%], etc.) selected in the preceding analysis where the battery energy storage device has a stable output power and is suitable for evaluating its regulation capability. These ranges represent the healthy operating area of ​​the battery.

[0079] The regulation strategy of a supercapacitor (i.e., matching power range) needs to be executed under specific SOC scenarios. The remaining capacity range of a battery corresponds to these available SOC scenarios. Therefore, it is first necessary to determine how many such SOC ranges are currently available, as this forms the basis for subsequent judgments.

[0080] The number of stable battery operating conditions that can be used for coordinated regulation was quantified, providing initial data for determining whether it is necessary to compensate for insufficient battery operating conditions by controlling the energy storage space of supercapacitors.

[0081] Assuming that the preceding analysis determines the matching power range to be three intervals [5,6), [6,7), and [7,8), and that there are 5 matching remaining power ranges selected, then the number of matching remaining power ranges here is 5.

[0082] Based on the energy storage regulation power range during the period when there is no adjustment deviation in the adapted remaining power range, the adaptation adjustment range corresponding to the matching power range in different adapted remaining power ranges is determined; Energy storage regulation power ranges without regulation deviation periods: These refer to the sub-ranges of battery output power that are stable and have never experienced severe fluctuations (i.e., regulation deviation periods) within a certain range of remaining battery capacity. These ranges represent the optimal output range of the battery at that SOC.

[0083] Adaptive Adjustment Range: This is a power range for a combination of a matched power range (e.g., [5, 6)) and a matched remaining capacity range (e.g., [20%, 30%)). It is calculated by summing the endpoint values ​​of the matched power range with the endpoint values ​​of the battery's stable power sub-range within that SOC range. Specifically, the minimum value of the matched power range and the minimum value of the battery's stable power sub-range are taken as the minimum value of the adaptive adjustment range; the maximum value of the matched power range and the maximum value of the battery's stable power sub-range are taken as the maximum value of the adaptive adjustment range. This range represents the total power range that the entire hybrid energy storage system is expected to stably output after the supercapacitor intervenes, when the battery is in that stable SOC range.

[0084] When supercapacitors and batteries work together, the total output power is the sum of the two. The stable output range of the battery is known (i.e., the energy storage regulation power range without periods of regulation deviation), and the matching power range covered by the supercapacitor is also known. By combining these two, the overall stable output power range of the system under specific battery operating conditions can be predicted. This range directly relates to whether the grid's needs can be met in different power ranges.

[0085] Assuming the matched power range is [5, 6) MW and the adapted remaining capacity range is [20%, 30%), within this SOC range, the stable power sub-range of the battery is [0, 4) MW (i.e., stable output from 0 to 4 MW with no adjustment deviation). Therefore, the minimum adaptation adjustment range is 5 + 0 = 5 MW, and the maximum is 6 + 4 = 10 MW. Thus, the adaptation adjustment range under this combination is [0, 10) MW. This means that when the battery SOC is between 20% and 30%, if the supercapacitor outputs power in the 5-6 MW range, the total system power can be stably adjusted between 0 and 10 MW.

[0086] Based on the matching power range and the corresponding adaptation adjustment range of different remaining power ranges, it is determined whether the energy storage space of the supercapacitor needs to be controlled.

[0087] Furthermore, the adaptation adjustment range is determined based on the sum of the endpoints of the energy storage adjustment power range during the period when there is no adjustment deviation between the matched power range and the adapted remaining power range. Specifically, the minimum value of the matched power range and the minimum value of the endpoints of the energy storage adjustment power range during the period when there is no adjustment deviation between the matched power range and the adapted remaining power range are taken as the minimum value of the adaptation adjustment range, and the sum of the maximum value of the matched power range and the maximum value of the endpoints of the energy storage adjustment power range during the period when there is no adjustment deviation between the matched remaining power range and the adapted remaining power range are taken as the maximum value of the adaptation adjustment range.

[0088] Furthermore, when the number of matching power ranges exceeds the preset threshold for the number of matching ranges, there are a large number of matching power ranges that need to be evaluated and analyzed for the supercapacitor's regulation capability. In order to ensure that the regulation capability of the supercapacitor in different power ranges can be reliably evaluated, it is determined that the energy storage space of the supercapacitor needs to be controlled so that the supercapacitor remains within the rated capacity range after energy storage regulation is completed, thereby making the regulation processing efficiency of the matching power range high.

[0089] Preset matching range threshold: A pre-set value used to measure whether the number of power ranges requiring supercapacitor response is excessive. If the number of matching power ranges exceeds this threshold, it means that the supercapacitor needs to cover a wide range of power applications and many scenarios. In order to ensure that it can be reliably evaluated in all critical ranges, it is necessary to actively control its energy storage capacity so that it can return to a rated, optimal capacity range (such as 50% SOC) after each adjustment, in order to ensure the efficiency and capability of the next adjustment.

[0090] This is the first rapid assessment hurdle. When there are too many power ranges requiring a response, supercapacitors may frequently switch between different power levels, resulting in significant fluctuations in their State of Charge (SOC). By actively controlling the energy storage space, it can be kept in optimal operating condition at all times, improving the efficiency of assessment and regulation.

[0091] Judging whether intervention is needed from a macro-level quantitative perspective avoids relying on complex subsequent calculations when the range of data is large, thus simplifying the decision-making process.

[0092] The preset threshold for the number of matching intervals is 5. If there are 3 matching power intervals, and 3 is no greater than 5, proceed to the next step. If there are 7 matching power intervals, it is determined that the energy storage space control of the supercapacitor needs to be implemented.

[0093] Furthermore, when the number of matching power intervals is not greater than the preset threshold for the number of matching intervals, the number of remaining power intervals is obtained. When the number of remaining power intervals does not meet the requirements, and when the number of remaining power intervals is small, in order to improve the efficiency of the evaluation and analysis of the supercapacitor's energy storage regulation capability, it is determined that the energy storage space of the supercapacitor needs to be controlled.

[0094] The number of compatible remaining capacity ranges meets the requirement: this usually means that the number is greater than a preset minimum threshold. If the number of compatible remaining capacity ranges is too small, it means that the battery has limited stable operating conditions, and the supercapacitor may need to operate frequently within a few SOC ranges. The utilization of its energy storage space will be highly concentrated, which can easily lead to capacity depletion or insufficient evaluation samples. In this case, by actively controlling the energy storage space, more diverse test conditions can be artificially created or the usable capacity of the capacitor can be ensured.

[0095] The scarcity of stable battery operating conditions limits the versatility of supercapacitor-assisted regulation in various scenarios. Actively controlling energy storage space can compensate for this deficiency, ensuring that the regulation capabilities of supercapacitors can be fully assessed and effectively utilized even under conditions of limited battery operating conditions.

[0096] The preset minimum number of adaptable remaining power ranges is 3. If the current number of adaptable remaining power ranges is 2, which is less than 3, then it is determined that energy storage space control processing for the supercapacitor is required. If the number is 5, then the requirement is met, and the process proceeds to the next step.

[0097] Furthermore, when the number of the adaptable remaining power ranges meets the requirements, based on the adaptable adjustment range corresponding to the matching power range in different adaptable remaining power ranges, the adaptable remaining capacity range falling within the target range is determined. Where there are cases where the adaptable adjustment range corresponding to different adaptable remaining power ranges does not fall within the target range, then since the adaptable adjustment range corresponding to different adaptable remaining power ranges has often not been used in the past, that is to say, the matching power range may not be effectively verified for a long time, and therefore it is determined that the energy storage space of the supercapacitor needs to be controlled.

[0098] Target range: This refers to the energy storage regulation power range in which the regulation time percentage exceeds a preset threshold during the power grid's historical regulation process. For example, if the regulation time in the 10-12MW power range accounts for more than 90% of the total time, then 10-12MW is the target range. This range represents the most frequent and primary power demand of the power grid.

[0099] The adaptation adjustment range falls within the target range: This means that the adaptation adjustment range calculated by combining a certain matching power range with a certain remaining power range overlaps with the target range, that is, the endpoint of the adaptation adjustment range falls within the target range or its range intersects with the target range.

[0100] Even if the matching power range and battery operating conditions are sufficient, if the total output range of the combined system consistently fails to cover the high-frequency demand range of the power grid, the actual effectiveness of the supercapacitor will be significantly reduced, and its regulation capability will be difficult to verify in critical scenarios. If such a matching power range exists (i.e., regardless of the battery's stable SOC, the total system output cannot meet the high-frequency demand), it indicates that the setting of this matching power range may be unreasonable, or that it is necessary to actively control the supercapacitor's energy storage capacity to adjust its output capability so that it can match the high-frequency demand.

[0101] Assume the target range is [8,10) MW (high-frequency grid demand). The existing matching power range is [7,8) MW, and there are two adaptable remaining capacity ranges: the battery stability range under SOC1 is [0,2) MW, and the battery stability range under SOC2 is [0,3) MW. The adaptable adjustment ranges for the two combinations are [0,10) MW and [0,11) MW, respectively. Both of these ranges overlap with [8,10), therefore, this matching power range may fall within the target range, and no control is needed. If another matching power range is [5,6) MW, and the battery stability range under the only two SOCs is [0,1) MW, then the adaptable adjustment range is [0,7) MW, which does not overlap with [8,10), meaning "neither falls within the target range," then it is determined that supercapacitor energy storage space control is required.

[0102] It should be noted that the target range is the energy storage regulation power range where the proportion of regulation time corresponding to the power grid is greater than a preset time proportion threshold. Specifically, if the proportion of regulation time in the historical regulation power range above the energy storage regulation power is greater than the preset time proportion threshold (e.g., greater than 0.9), then the energy storage regulation power range above the energy storage regulation power is determined as the target range, and the adaptive regulation power falling into the target range means that the endpoint of the adaptive regulation power falls within the target range.

[0103] Furthermore, when there is no matching power range corresponding to different matching power ranges that do not fall within the target range, the adjustment matching coefficients for different matching power ranges are determined based on the number of matching power ranges whose adjustment matching ranges fall within the target range. When the average value of the adjustment matching coefficients for different matching power ranges is greater than the preset matching coefficient threshold, it is determined that no control processing of the supercapacitor's energy storage space is required. That is, the control processing of the supercapacitor's energy storage space will be carried out after its energy storage space is fully utilized.

[0104] Furthermore, when the average value of the adjustment adaptation coefficients of different matching power ranges is not greater than the preset adaptation coefficient threshold, it is determined that the energy storage space of the supercapacitor needs to be controlled.

[0105] Adjustment adaptation coefficient: For each matched power range, the number of remaining power ranges that can fall within the target range after combining it with all other matched remaining power ranges is counted. This coefficient reflects the richness of scenarios in which the matched power range can cover the high-frequency demands of the power grid by leveraging stable battery operating conditions.

[0106] Preset Adaptation Coefficient Threshold: A pre-set value used to measure whether the average value of the adjusted adaptation coefficient is high enough. If the average value is high, it means that multiple battery operating conditions support its coverage of high-frequency demands in most matching power ranges, and the supercapacitor's adjustment capability can be fully verified in these scenarios. Therefore, it is not necessary to actively control its energy storage space (i.e., allow it to naturally deplete its energy storage before control). If the average value is low, it means that the scenarios covering high-frequency demands are insufficient, and it is necessary to actively control the energy storage space to create more verification opportunities or optimize response capabilities.

[0107] Once at least one scenario across all matched power ranges can cover high-frequency demands, the adequacy of that coverage still needs to be assessed. If, on average, only a few battery operating conditions per matched power range can support its coverage of high-frequency demands, then in actual operation, the supercapacitor is likely to be in an "idle" state most of the time, unable to verify its critical capabilities. By actively controlling its energy storage capacity, it can be forced to attempt to cover high-frequency demands at different SOCs, thereby accumulating more effective data and improving the reliability of the assessment.

[0108] Assume there are 3 matching power ranges and a total of 5 adaptable remaining capacity ranges. For range A, there are 4 SOCs that allow its adaptation adjustment range to fall into the target range, i.e., the adaptation coefficient is 4; for range B, the coefficient is 3; and for range C, the coefficient is 2. The average value is (4+3+2) / 3=3. The preset adaptation coefficient threshold is 2.5. Since 3>2.5, it is determined that no energy storage space control treatment is needed for the supercapacitor (i.e., control can be implemented after its energy storage space is naturally depleted). If the average value is only 2, which is less than 2.5, then control treatment is determined to be necessary.

[0109] Example 2 Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for evaluating and analyzing the grid regulation capability of an energy storage power station when running the computer program.

[0110] Specifically, determining whether control measures are needed for the energy storage space of the supercapacitor includes: Based on the matching power range's remaining power range data, the number of matching power ranges is determined. Based on the energy storage regulation power range during the period when there is no adjustment deviation in the adapted remaining power range, the adaptation adjustment range corresponding to the matching power range in different adapted remaining power ranges is determined; Based on the overlap between the matching power range and the target range corresponding to different remaining power ranges, the matching power ranges that fall within the target range are determined. Based on the number of matching power ranges that all fall within the target range, the adjustment and adaptation coefficients of different matching power ranges are determined. Based on the adjustment and adaptation coefficients of different matching power ranges, it is determined whether the energy storage space of the supercapacitor needs to be controlled.

[0111] Specifically, the number of matching power intervals is obtained. When the number of matching power intervals is greater than a preset threshold for the number of matching intervals, for example, when it is greater than 5, it is determined that the energy storage space of the supercapacitor needs to be controlled.

[0112] Furthermore, when the number of matching power intervals is not greater than the preset threshold for the number of matching intervals, and when there is a matching power interval with an adjustment adaptation coefficient less than the preset threshold, for example, less than 0.2, it is determined that control processing of the supercapacitor's energy storage space is required.

[0113] Additionally, it is understandable that when there is no matching power range where the adjustment adaptation coefficient is less than the preset coefficient threshold, the adjustment adaptation coefficient of different matching power ranges is used as a basis. When the average value of the adjustment adaptation coefficient of different matching power ranges is greater than the preset adaptation coefficient threshold, for example, greater than 0.5, it is determined that there is no need to control the energy storage space of the supercapacitor. That is, the energy storage space of the supercapacitor will be controlled after its energy storage space is used up.

[0114] Furthermore, when the average value of the adjustment adaptation coefficients of different matching power ranges is not greater than the preset adaptation coefficient threshold, it is determined that the energy storage space of the supercapacitor needs to be controlled.

[0115] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0116] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0117] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for evaluating and analyzing the grid regulation capability of an energy storage power station, characterized in that, Specifically, it includes: Based on the energy storage regulation data of the energy storage power station, the intervention data of the supercapacitor of the energy storage power station is determined. Based on the intervention data, when it is determined that the regulation capability of the supercapacitor of the energy storage power station needs to be considered, the energy storage regulation strategy of the supercapacitor is determined based on the compatibility between the energy storage regulation data of the energy storage power station and the battery energy storage device of the energy storage power station. Based on the energy storage regulation strategy, the energy storage regulation power range for the supercapacitor to perform energy storage regulation processing is determined and used as the matching power range. Based on the stability of the energy storage regulation power of the battery energy storage device in different remaining power ranges and the energy storage regulation data, the suitable remaining power range for regulation capability evaluation and analysis is determined within the matching power range. By using the remaining capacity range data of different matching power ranges, it can be determined whether the energy storage space of the supercapacitor needs to be controlled.

2. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 1, characterized in that, The energy storage regulation data includes historical regulation processes of the energy storage power station and data on the intervention of supercapacitors in different historical regulation processes.

3. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 2, characterized in that, When the energy storage regulation power of the battery energy storage device of the energy storage power station is less than the energy storage regulation power required by the energy storage regulation demand, the supercapacitor is controlled to intervene and perform energy storage regulation together.

4. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 1, characterized in that, The regulation capability of the supercapacitor in the energy storage power station needs to be considered, specifically including: Based on the energy storage regulation data, the intervention data of the supercapacitor in different historical regulation processes are determined; Based on the intervention data, the energy storage regulation duration of the supercapacitor in different historical regulation processes is determined; Based on the energy storage regulation duration of supercapacitors in different historical regulation processes, determine whether the regulation capability of supercapacitors in energy storage power stations needs to be considered.

5. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 4, characterized in that, Based on the energy storage regulation duration of supercapacitors during different historical regulation processes, determine whether the regulation capability of the supercapacitors in the energy storage power station needs to be considered, specifically including: Based on the energy storage regulation duration of supercapacitors in different historical regulation processes, the proportion of the energy storage regulation duration of supercapacitors in different historical regulation processes is determined and used as a regulation demand factor. Based on the average value of the regulation demand factor in different historical regulation processes, determine whether the regulation capability of the supercapacitor in the energy storage power station needs to be considered.

6. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 5, characterized in that, When the average value of the regulation demand factor in different historical regulation processes is greater than the preset demand factor threshold, it is determined that the regulation capability of the supercapacitor of the energy storage power station needs to be considered.

7. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 1, characterized in that, The method for determining the energy storage regulation strategy of the supercapacitor is as follows: Based on the energy storage regulation data of the energy storage power station, the energy storage regulation power of the power grid in different historical regulation processes is determined; The energy storage regulation power range that is greater than the rated output power of the battery energy storage device of the energy storage power station is taken as the target power range. Based on the energy storage regulation power, the historical regulation duration within the target power range is determined. The energy storage regulation strategy of the supercapacitor is determined by utilizing the historical adjustment duration within the target power range.

8. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 1, characterized in that, The method for determining the remaining power range for the adjustment capability assessment analysis is as follows: Based on the stability of the energy storage regulation power of the battery energy storage device within the remaining power range, determine the fluctuation of the output power of the battery energy storage device in different energy storage regulation power ranges within the remaining power range. Based on the fluctuations, determine the adjustment deviation period within the energy storage regulation power range within the remaining power range; Based on the adjustment deviation time periods within different energy storage regulation power ranges within the remaining power range, determine whether the remaining power range is a suitable remaining power range for regulation capability assessment and analysis.

9. The method for evaluating and analyzing the grid regulation capability of energy storage power stations as described in claim 8, characterized in that, The energy storage regulation power range is divided into multiple energy storage regulation power ranges based on a preset ratio of the rated output power of the battery energy storage device.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a method for evaluating and analyzing the grid regulation capability of an energy storage power station as described in any one of claims 1-9.

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