Method and system for evaluating real-time response of light storage filling

Abstract

The invention discloses a light storage filling real-time response evaluation method and system. The method comprises the following steps: collecting real-time operation data of the optical storage and charging system; key dynamic characteristics reflecting system response are calculated according to the collected real-time operation data; constructing a real-time response evaluation index based on the key dynamic characteristics; and outputting a real-time evaluation result according to the real-time response evaluation index. The evaluation result can be updated in a second level, and an instant basis is provided for online regulation and control; multi-dimensional evaluation from response speed, stability and collaboration covers the overall performance of a single device and a system, and a good evaluation effect is achieved; weight coefficients related to evaluation can be flexibly adjusted according to scenes, and evaluation pertinence is improved.

Description

Technical Field

[0001] This invention relates to the technical field of optical storage full-time response evaluation methods and systems, specifically to an optical storage full-time response evaluation method and system. Background Technology

[0002] An Introduction to Integrated Photovoltaic-Storage-Charging Systems: "Photovoltaic-storage-charging" is an energy system that integrates photovoltaic power generation, energy storage systems, and charging facilities. With the rapid growth in the number of new energy vehicles, the problem of charging difficulties is becoming increasingly prominent, and electric vehicle charging stations face issues such as insufficient land resources or grid connection problems. "Photovoltaic-storage-charging" not only solves the distribution network problem within limited land and power capacity resources, but also improves energy utilization efficiency and reduces grid load pressure through the coordinated operation of photovoltaic power generation, energy storage buffering, and electric vehicle charging. However, this system has characteristics such as strong volatility and dynamic interaction among multiple devices, and its real-time response performance directly affects operational reliability.

[0003] Existing evaluation methods for photovoltaic energy storage and charging systems suffer from the following technical bottlenecks: 1. Ignoring dynamic processes: Evaluation is based solely on steady-state data, without considering transient characteristics such as response delay and overshoot; 2. Single indicator: It focuses on the response speed of a single device and does not reflect the synergistic effect of photovoltaic-energy storage-charging; 3. Insufficient real-time capability: Relies on offline data analysis, which cannot provide immediate feedback for online control. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by providing a method and system for evaluating the full-time response of optical storage.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a method for evaluating the time-bound response of optical storage, comprising: Collect real-time operational data of the photovoltaic energy storage and charging system; The key dynamic characteristics reflecting the system response are calculated based on the collected real-time operational data. A real-time response evaluation index is constructed based on the aforementioned key dynamic characteristics. The real-time evaluation results are output based on the real-time response evaluation metrics.

[0006] Furthermore, the real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment, the real-time charging and discharging power of the energy storage equipment, the charging command power of the charging equipment, and the real-time power of the grid connection point.

[0007] Furthermore, the key dynamic characteristics include response delay time, overshoot, and power fluctuation. The response delay time is calculated as follows: ; in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. For charging command power, The allowable error threshold, where t is the time index. ≥0; The overshoot is calculated as follows: ; in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; The power fluctuation is calculated as follows: ; in, This represents the power fluctuation.

[0008] Furthermore, the real-time response evaluation metrics include response speed metrics, stability metrics, collaborative response efficiency, and a comprehensive evaluation index; The response speed index is calculated as follows: ; in, The calculated response speed index, These are the weighting coefficients; The stability index is calculated as follows: ; in, The calculated stability index, To assess window duration, This is the starting point of the evaluation; The calculation method for the collaborative response efficiency is as follows: ; in, Available power for energy storage; The comprehensive evaluation index is calculated as follows: ; in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

[0009] Furthermore, this also includes: when the comprehensive evaluation index When the value is less than the set threshold, the control outputs a warning signal.

[0010] In a second aspect, the present invention provides a time-lapse response evaluation system for optical storage, comprising: The data acquisition module is used to collect real-time operating data of the photovoltaic storage and charging system; The feature construction module is used to calculate key dynamic features reflecting the system response based on the collected real-time operational data; The evaluation index calculation module is used to construct real-time response evaluation indexes based on the key dynamic features; The output module outputs real-time evaluation results based on the real-time response evaluation indicators.

[0011] Furthermore, the real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment, the real-time charging and discharging power of the energy storage equipment, the charging command power of the charging equipment, and the real-time power of the grid connection point.

[0012] Furthermore, the key dynamic characteristics include response delay time, overshoot, and power fluctuation. The response delay time is calculated as follows: ; in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. , The photovoltaic output power of photovoltaic equipment. The real-time charging and discharging power of energy storage devices, Real-time power at the grid connection point For charging command power, The allowable error threshold, where t is the time index. ≥0; The overshoot is calculated as follows: ; in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; The power fluctuation is: ; in, This represents the power fluctuation.

[0013] Furthermore, the real-time response evaluation metrics include response speed metrics, stability metrics, collaborative response efficiency, and a comprehensive evaluation index; The response speed index is calculated as follows: ; in, The calculated response speed index, These are the weighting coefficients; The stability index is calculated as follows: ; in, The calculated stability index, To assess window duration, This is the starting point of the evaluation; The calculation method for the collaborative response efficiency is as follows: ; in, Available power for energy storage; The comprehensive evaluation index is calculated as follows: ; in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

[0014] Furthermore, the output module is also used to evaluate the comprehensive index. When the value is less than the set threshold, an early warning signal is output.

[0015] Beneficial effects: The evaluation results of this invention can be updated in seconds, providing an immediate basis for online control; it evaluates from multiple dimensions such as response speed, stability, and coordination, covering the performance of individual devices and the overall system, and has a good evaluation effect; the weight coefficients involved in the evaluation can be flexibly adjusted according to the scenario, improving the relevance of the evaluation. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the optical storage full-time response evaluation method according to an embodiment of the present invention; Figure 2 This is a block diagram of the principle of the optical storage full-time response evaluation system according to an embodiment of the present invention. Detailed Implementation

[0017] The present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments. These embodiments are implemented based on the technical solutions of the present invention, and it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0018] like Figure 1 As shown, this embodiment of the invention provides a method for evaluating the time-bound response of optical storage, including: Collect real-time operating data of the photovoltaic-storage-charging system. The real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment (unit: kW), the real-time charging and discharging power of the energy storage equipment (unit: kW, discharging is positive, charging is negative), the charging command power of the charging equipment (unit: kW), and the real-time power of the grid connection point (unit: kW, power drawn from the grid is positive).

[0019] The key dynamic characteristics reflecting the system response are calculated based on the collected real-time operational data. Specifically, these key dynamic characteristics include response delay time, overshoot, and power fluctuation. The response delay time refers to the time difference between the actual power output of the system and the command, and is calculated as follows: ; in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. For charging command power, The allowable error threshold, where t is the time index. ≥0; Overshoot refers to the degree to which the maximum power deviates from the steady-state value during the response process. The specific calculation method is as follows: ; in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; Power fluctuation refers to the deviation between real-time power and commanded power, and the specific calculation method is as follows: ; in, This represents the power fluctuation.

[0020] Based on the aforementioned key dynamic characteristics, real-time response evaluation indicators are constructed. These indicators include response speed indicators, stability indicators, collaborative response efficiency, and a comprehensive evaluation index.

[0021] The response speed metric is a quantitative value that combines latency and recovery time. The smaller the value, the faster the speed. Its calculation method is as follows: ; in, The calculated response speed index, is the weighting coefficient, with a value range of [0,1].

[0022] The stability index reflects the smoothness of power fluctuations; the smaller the value, the more stable the power. Its calculation method is as follows: ; in, The calculated stability index, To assess window duration, This is the starting point for the evaluation.

[0023] Synergistic response efficiency is used to measure the matching degree of photovoltaic-energy storage-charging. The higher the value, the better the synergy. Its calculation method is as follows: ; in, It represents the available power for energy storage, which is positive during discharge and negative during charging, and is limited by SOC.

[0024] The comprehensive evaluation index is calculated as follows: ; in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

[0025] A sliding window is used to evaluate and calculate based on indicators. Real-time evaluation results are output based on the real-time response evaluation indicators, including the aforementioned response speed indicators, stability indicators, collaborative response efficiency, and a comprehensive evaluation index. When the comprehensive evaluation index... When the value falls below a set threshold, the control outputs a warning signal. (This is similar to the comprehensive evaluation index.) When the value is less than 0.6, an early warning signal is output to indicate that the response performance is not up to standard.

[0026] See Figure 2 Based on the above embodiments, those skilled in the art can easily understand that the present invention also provides a real-time response evaluation system for optical storage, including a data acquisition module 1, a feature construction module 2, an evaluation index calculation module 3, and an output module 4.

[0027] Data acquisition module 1 is used to collect real-time operating data of the photovoltaic-storage-charging system. It includes multiple sensors and transmits data in real time through an edge computing gateway. The real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment (unit: kW), the real-time charging and discharging power of the energy storage equipment (unit: kW, discharging is positive, charging is negative), the charging command power of the charging equipment (unit: kW), and the real-time power of the grid connection point (unit: kW, power drawn from the grid is positive).

[0028] Feature construction module 2 is used to calculate key dynamic features reflecting the system response based on the collected real-time operating data. Specifically, the key dynamic features include response delay time, overshoot, and power fluctuation. The response delay time refers to the time difference between the actual power output of the system and the command, and is calculated as follows: ; in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. For charging command power, The allowable error threshold, where t is the time index. ≥0; Overshoot refers to the degree to which the maximum power deviates from the steady-state value during the response process. The specific calculation method is as follows: ; in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; Power fluctuation refers to the deviation between real-time power and commanded power, and the specific calculation method is as follows: ; in, This represents the power fluctuation.

[0029] The evaluation index calculation module 3 is used to construct real-time response evaluation indicators based on the key dynamic characteristics. These real-time response evaluation indicators include response speed indicators, stability indicators, collaborative response efficiency, and a comprehensive evaluation index.

[0030] The response speed metric is a quantitative value that combines latency and recovery time. The smaller the value, the faster the speed. Its calculation method is as follows: ; in, The calculated response speed index, is the weighting coefficient, with a value range of [0,1].

[0031] The stability index reflects the smoothness of power fluctuations; the smaller the value, the more stable the power. Its calculation method is as follows: ; in, The calculated stability index, To assess window duration, This is the starting point for the evaluation.

[0032] Synergistic response efficiency is used to measure the matching degree of photovoltaic-energy storage-charging. The higher the value, the better the synergy. Its calculation method is as follows: ; in, It represents the available power for energy storage, which is positive during discharge and negative during charging, and is limited by SOC.

[0033] The comprehensive evaluation index is calculated as follows: ; in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

[0034] Output module 4 is used to output real-time evaluation results. These results include the aforementioned response speed indicators, stability indicators, collaborative response efficiency, and comprehensive evaluation index. When the comprehensive evaluation index... When the value falls below a set threshold, the control outputs a warning signal. (This is similar to the comprehensive evaluation index.) When the value is less than 0.6, an early warning signal is output to indicate that the response performance is not up to standard.

[0035] The above description is merely a preferred embodiment of the present invention. It should be noted that for those skilled in the art, other parts not specifically described are existing technology or common knowledge. Several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the full-time response of optical storage, characterized in that, include: Collect real-time operational data of the photovoltaic energy storage and charging system; The key dynamic characteristics reflecting the system response are calculated based on the collected real-time operational data. A real-time response evaluation index is constructed based on the aforementioned key dynamic characteristics. The real-time evaluation results are output based on the real-time response evaluation metrics.

2. The optical storage full-time response evaluation method according to claim 1, characterized in that, The real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment, the real-time charging and discharging power of the energy storage equipment, the charging command power of the charging equipment, and the real-time power of the grid connection point.

3. The method for evaluating the response of optical storage when it is fully filled according to claim 2, characterized in that, The key dynamic characteristics include response delay time, overshoot, and power fluctuation. The response delay time is calculated as follows: ； in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. For charging command power, The allowable error threshold, where t is the time index. ≥0; The overshoot is calculated as follows: ； in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; The power fluctuation is calculated as follows: ； in, This represents the power fluctuation.

4. The optical storage full-time response evaluation method according to claim 3, characterized in that, The real-time response evaluation metrics include response speed metrics, stability metrics, collaborative response efficiency, and a comprehensive evaluation index. The response speed index is calculated as follows: ； in, The calculated response speed index, These are the weighting coefficients; The stability index is calculated as follows: ； in, The calculated stability index, To assess window duration, This is the starting point of the evaluation; The calculation method for the collaborative response efficiency is as follows: ； in, Available power for energy storage; The comprehensive evaluation index is calculated as follows: ； in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

5. The optical storage full-time response evaluation method according to claim 4, characterized in that, Also includes: When the comprehensive evaluation index When the value is less than the set threshold, the control outputs a warning signal.

6. A time-lapse response evaluation system for optical storage, characterized in that, include: The data acquisition module is used to collect real-time operating data of the photovoltaic storage and charging system; The feature construction module is used to calculate key dynamic features reflecting the system response based on the collected real-time operational data; The evaluation index calculation module is used to construct real-time response evaluation indexes based on the key dynamic features; The output module outputs real-time evaluation results based on the real-time response evaluation indicators.

7. The optical storage full-time response evaluation system according to claim 6, characterized in that, The real-time operating data of the photovoltaic-storage-charging system includes the photovoltaic output power of the photovoltaic equipment, the real-time charging and discharging power of the energy storage equipment, the charging command power of the charging equipment, and the real-time power of the grid connection point.

8. The optical storage full-time response evaluation system according to claim 7, characterized in that, The key dynamic characteristics include response delay time, overshoot, and power fluctuation. The response delay time is calculated as follows: ； in, The calculated response delay time, To find the minimum value function, This refers to the real-time power supply of the system for charging. , The photovoltaic output power of photovoltaic equipment. The real-time charging and discharging power of energy storage devices, Real-time power at the grid connection point For charging command power, The allowable error threshold, where t is the time index. ≥0; The overshoot is calculated as follows: ； in, For the calculated overshoot, To find the function with the maximum value, In response to the power value after stabilization, Recovery time; The power fluctuation is: ； in, This represents the power fluctuation.

9. The optical storage full-time response evaluation system according to claim 8, characterized in that, The real-time response evaluation metrics include response speed metrics, stability metrics, collaborative response efficiency, and a comprehensive evaluation index. The response speed index is calculated as follows: ； in, The calculated response speed index, These are the weighting coefficients; The stability index is calculated as follows: ； in, The calculated stability index, To assess window duration, This is the starting point of the evaluation; The calculation method for the collaborative response efficiency is as follows: ； in, Available power for energy storage; The comprehensive evaluation index is calculated as follows: ； in, The maximum threshold for the response speed metric. This represents the maximum threshold for the stability index. , , These are the weighting coefficients. .

10. The optical storage full-time response evaluation system according to claim 9, characterized in that, The output module is also used to evaluate the comprehensive index. When the value is less than the set threshold, an early warning signal is output.

Images