Photovoltaic energy storage system power adjusting method

Abstract

The invention provides a photovoltaic energy storage system power regulation method, which relates to the technical field of photovoltaic energy storage, and comprises the following steps: when an AGC (Automatic Gain Control) dispatching instruction is received, judging the frequency of a grid-connected point to obtain a first judgment result based on key operation parameters obtained by analyzing key data of the grid-connected point in a photovoltaic energy storage system; according to the first judgment result, if the frequency of the grid-connected point is abnormal, generating a key power regulation instruction; and monitoring a process of executing the key power regulation instruction by the photovoltaic energy storage equipment, and feeding back an execution result to the photovoltaic energy storage system. When an AGC scheduling instruction is received, based on key operation parameters obtained by monitoring and analyzing key data of a grid-connected point in a photovoltaic energy storage system, the frequency of the grid-connected point is judged to obtain a first judgment result; according to the first judgment result, if the frequency of the grid-connected point is abnormal, generating a key power regulation instruction; and the process of executing the key power regulation instruction by the photovoltaic energy storage equipment is monitored, and the execution result is fed back, so that the economic benefit can be improved while the operation stability of the photovoltaic energy storage system can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic energy storage, and in particular to a power regulation method for a photovoltaic energy storage system. Background Art

[0002] In recent years, with the development of renewable energy strategies, photovoltaic power stations have been widely used. However, the power generation of photovoltaic power stations is volatile and random. Large-scale photovoltaic access will pose challenges to the power grid and even cause power grid failures. In order to overcome the inherent defects of photovoltaics, the integration of energy storage systems has become an effective solution. However, the power regulation methods of existing photovoltaic energy storage power stations have defects, such as slow response speed and low regulation accuracy, and cannot accurately regulate the output power of photovoltaic energy storage systems.

[0003] Therefore, the present invention provides a power regulation method for a photovoltaic energy storage system. Summary of the invention

[0004] The present invention provides a power regulation method for a photovoltaic energy storage system, which is used to obtain a first judgment result on the frequency of a grid-connected point based on key operating parameters obtained by monitoring and analyzing key data of a grid-connected point in a photovoltaic energy storage system when an AGC scheduling instruction is received; based on the first judgment result, if the frequency of the grid-connected point is abnormal, a key power regulation instruction is generated; the process of photovoltaic energy storage equipment executing the key power regulation instruction is monitored, and the execution result is fed back, which can effectively improve the stability of the operation of the photovoltaic energy storage system while improving the economic benefits.

[0005] The present invention provides a photovoltaic energy storage system power regulation method, comprising:

[0006] Step 1: Real-time monitoring of key data of the grid-connected points in the current photovoltaic energy storage system, and analysis of the key data to obtain key operating parameters of the corresponding grid-connected points;

[0007] Step 2: When the AGC dispatch instruction is received, the frequency of the grid connection point is judged based on the key operating parameters to obtain a first judgment result;

[0008] Step 3: Based on the first judgment result, if it is judged that the frequency of the current grid-connected point is abnormal, a key power adjustment instruction is generated in combination with the received AGC scheduling instruction and transmitted to the photovoltaic energy storage device;

[0009] Step 4: Monitor in real time the process of the photovoltaic energy storage device executing the key power adjustment instruction, and feed back the execution result to the photovoltaic energy storage system.

[0010] Preferably, the key data of the grid connection point in the current photovoltaic energy storage system is monitored in real time, and the key data is analyzed to obtain the key operating parameters of the corresponding grid connection point, including:

[0011] Using the set monitoring tool to monitor the current, voltage and frequency of the grid connection point in the current photovoltaic energy storage system in real time, obtain the first real-time current, the first real-time voltage and the first real-time frequency respectively, and regard them as key data;

[0012] Substituting the first real-time current and the first real-time voltage into a set formula, and calculating the first frequency and the first generated active power of the current grid-connected point;

[0013] Calculate the average value of the first frequency and the first real-time frequency to obtain the key frequency;

[0014] The key frequency and the first generated active power are output as key operating parameters.

[0015] Preferably, the monitoring tool is set to be a current sensor, a voltage sensor and a frequency detection device.

[0016] Preferably, when the AGC scheduling instruction is received, the frequency of the grid connection point is judged based on the key operating parameters to obtain a first judgment result, including:

[0017] Extract the key frequency from the key operating parameters and compare it with the set frequency range of the current grid connection point;

[0018] When the key frequency is within the set frequency range, the current grid connection point frequency is judged to be normal, and is output as the first judgment result;

[0019] When the key frequency is not within the set frequency range, the frequency of the current grid connection point is judged to be abnormal, and the result is output as the first judgment result;

[0020] If the frequency of the current grid connection point is abnormal, the frequency abnormality coefficient is calculated based on the key frequency;

[0021] Taking the current frequency anomaly coefficient as a matching condition, the frequency anomaly level is obtained from the set anomaly level mapping table;

[0022] The frequency anomaly coefficient and the frequency anomaly level are output as the first judgment result.

[0023] Preferably, the calculation formula of the frequency anomaly coefficient is as follows:

[0024] Where y1 is the frequency anomaly coefficient; p max Indicates the upper limit of the set frequency; p0 indicates the critical frequency; p min It represents the set frequency lower limit; e represents the natural base.

[0025] Preferably, according to the first judgment result, if it is judged that the frequency of the current grid connection point is abnormal, a key power adjustment instruction is generated in combination with the received AGC scheduling instruction and transmitted to the photovoltaic energy storage device, including:

[0026] When the frequency judgment result in the first judgment result is that the grid connection point frequency is normal, the currently received AGC instruction is regarded as a key power adjustment instruction;

[0027] When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is greater than the set frequency upper limit, judging whether the current AGC instruction is to increase the output;

[0028] When the AGC instruction is to increase the output, determining a first prescribed output based on the critical frequency; and when the first prescribed output is greater than the maximum output, setting the first prescribed output to the maximum output;

[0029] When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is less than the set frequency lower limit, judging whether the current AGC instruction is to reduce the output;

[0030] When the AGC instruction is to reduce the output, determining a second specified output based on the critical frequency;

[0031] The first specified output and the second specified output obtained are combined with the current power state of the photovoltaic energy storage system for analysis to generate key power adjustment instructions.

[0032] Preferably, the first specified output and the second specified output acquired are combined and analyzed with the current power state of the photovoltaic energy storage system to generate a key power adjustment instruction, including:

[0033] If the aforementioned AGC instruction is to increase the output, the critical frequency of the grid-connected point is greater than the set frequency upper limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the photovoltaic system stops charging the energy storage system and generates a stop charging instruction to transmit to the photovoltaic device to execute the stop charging operation;

[0034] The output power of the photovoltaic system is adjusted to the first specified output to generate electricity as a key power adjustment instruction output;

[0035] If the aforementioned AGC instruction is to reduce the output, the key frequency of the grid connection point is less than the set frequency lower limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the energy storage system stops outputting and generates a stop output instruction which is transmitted to the energy storage device to execute the stop output operation;

[0036] The output power of the photovoltaic system is adjusted to the second specified output to generate electricity as the key power adjustment instruction output.

[0037] Preferably, the process of the photovoltaic energy storage device executing the key power adjustment instruction is monitored in real time, and the execution result is fed back to the power plant, including

[0038] Using a setting tool to monitor in real time the adjustment process of the photovoltaic energy storage device executing the key power adjustment command, and obtaining the command execution process data;

[0039] Feeding back the instruction execution process data as the execution result to the current photovoltaic energy storage system;

[0040] The photovoltaic energy storage system analyzes the current execution result, compares the first operating state parameter in the instruction execution process data with the corresponding set state parameter threshold, and marks the first operating state parameter greater than the set state parameter threshold as an abnormal state parameter;

[0041] If the photovoltaic energy storage device has abnormal state parameters, the current photovoltaic energy storage device is marked as an abnormal operation device, and a first abnormal coefficient of the abnormal state parameter is obtained;

[0042] From the set exception handling strategy table, use the exception state parameter and the corresponding first exception coefficient as the screening conditions to screen out the operation exception handling strategy;

[0043] Using the operation abnormality handling strategy to perform abnormality handling on the corresponding operation abnormality device;

[0044] Based on the comparison between the first adjustment parameter in the instruction execution process data and the corresponding expected adjustment parameter in the key power adjustment instruction, the instruction execution effect is evaluated to obtain an execution evaluation coefficient;

[0045] When the execution evaluation coefficient is greater than the set evaluation threshold, it is determined that the current execution effect is normal;

[0046] When the execution evaluation coefficient is not greater than the set evaluation threshold, it is determined that the current execution effect is abnormal, and the current photovoltaic energy storage device is marked as an execution abnormal device;

[0047] According to the execution evaluation coefficient, the execution abnormality level is obtained from the set execution level table;

[0048] The device type and execution exception level of the execution exception device are used as matching conditions, and the execution exception processing solution is extracted from the preset execution processing solution database to perform exception processing on the current execution exception device.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] When an AGC dispatch instruction is received, the first judgment result is obtained by judging the frequency of the grid-connected point based on the key operating parameters obtained by monitoring and analyzing the key data of the grid-connected point in the photovoltaic energy storage system; according to the first judgment result, if the frequency of the grid-connected point is abnormal, a key power adjustment instruction is generated; the process of the photovoltaic energy storage equipment executing the key power adjustment instruction is monitored, and the execution result is fed back, which can effectively improve the stability of the operation of the photovoltaic energy storage system while improving the economic benefits.

[0051] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0054] Figure 1 The present invention is a flowchart of a photovoltaic energy storage system power regulation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] The embodiment of the present invention provides a photovoltaic energy storage system power regulation method, such as Figure 1 As shown, including:

[0057] Step 1: Real-time monitoring of key data of the grid-connected points in the current photovoltaic energy storage system, and analysis of the key data to obtain key operating parameters of the corresponding grid-connected points;

[0058] Step 2: When the AGC dispatch instruction is received, the frequency of the grid connection point is judged based on the key operating parameters to obtain a first judgment result;

[0059] Step 3: Based on the first judgment result, if it is judged that the frequency of the current grid-connected point is abnormal, a key power adjustment instruction is generated in combination with the received AGC scheduling instruction and transmitted to the photovoltaic energy storage device;

[0060] Step 4: Monitor in real time the process of the photovoltaic energy storage device executing the key power adjustment instruction, and feed back the execution result to the photovoltaic energy storage system.

[0061] In this embodiment, the photovoltaic energy storage system is mainly composed of solar panels, battery energy storage systems (such as lithium-ion batteries, sodium-sulfur batteries, titanate batteries, etc.), power inverters and control systems, and is a system that combines photovoltaic power generation systems with energy storage equipment; the grid connection point refers to the connection point between the photovoltaic power station and the energy storage system and the power grid in the current photovoltaic energy storage system; the key data refers to the first real-time current, the first real-time voltage and the first real-time frequency; the first real-time frequency refers to the frequency of the grid connection point monitored in real time by the frequency detection equipment; the first real-time current refers to the current of the grid connection point monitored in real time by the current sensor; the first real-time voltage refers to the voltage of the grid connection point monitored in real time by the voltage sensor; the key operating parameters refer to the frequency and the active power generation.

[0062] In this embodiment, the AGC dispatch instruction refers to an instruction issued by the power grid dispatching center for adjusting the output power of the generator to maintain the frequency and voltage stability of the power grid; the first judgment result refers to the frequency judgment result, the frequency abnormality coefficient and the frequency abnormality level, wherein the frequency judgment result includes two judgment results: the grid connection point frequency is normal and the grid connection point frequency is abnormal; the key power adjustment instruction refers to an instruction for adjusting the output power of the photovoltaic energy storage device; the photovoltaic energy storage device refers to the photovoltaic inverter and energy storage converter in the current photovoltaic energy storage system.

[0063] The beneficial effects of the above technical solution are: when an AGC dispatch instruction is received, the first judgment result is obtained by judging the frequency of the grid-connected point based on the key operating parameters obtained by monitoring and analyzing the key data of the grid-connected point in the photovoltaic energy storage system; according to the first judgment result, if the frequency of the grid-connected point is abnormal, a key power adjustment instruction is generated; the process of the photovoltaic energy storage equipment executing the key power adjustment instruction is monitored, and the execution result is fed back, which can effectively improve the stability of the operation of the photovoltaic energy storage system while improving the economic benefits.

[0064] The embodiment of the present invention provides a power regulation method for a photovoltaic energy storage system, which monitors the key data of the grid connection point in the current photovoltaic energy storage system in real time, and analyzes the key data to obtain the key operating parameters of the corresponding grid connection point, including:

[0065] Using the set monitoring tool to monitor the current, voltage and frequency of the grid connection point in the current photovoltaic energy storage system in real time, obtain the first real-time current, the first real-time voltage and the first real-time frequency respectively, and regard them as key data;

[0066] Substituting the first real-time current and the first real-time voltage into a set formula, and calculating the first frequency and the first generated active power of the current grid-connected point;

[0067] Calculate the average value of the first frequency and the first real-time frequency to obtain the key frequency;

[0068] The key frequency and the first generated active power are output as key operating parameters.

[0069] In this embodiment, the setting monitoring tool is predetermined, including a current sensor, a voltage sensor and a frequency detection device; the photovoltaic energy storage system is mainly composed of solar panels, a battery energy storage system (such as lithium-ion batteries, sodium-sulfur batteries, titanate batteries, etc.), a power inverter and a control system, etc., and is a system that combines a photovoltaic power generation system with an energy storage device; the grid connection point refers to the connection point between the photovoltaic power station and the energy storage system and the power grid in the current photovoltaic energy storage system; the first real-time current refers to the current of the grid connection point monitored in real time by the current sensor; the first real-time voltage refers to the voltage of the grid connection point monitored in real time by the voltage sensor; the first real-time frequency refers to the frequency of the grid connection point monitored in real time by the frequency detection device; the key data refers to the first real-time current, the first real-time voltage and the first real-time frequency; the setting formula refers to the preset frequency calculation formula and the active power calculation formula; the key operating parameters refer to the key frequency and the first active power, wherein the key frequency is the frequency average of the first frequency and the first real-time frequency.

[0070] The beneficial effect of the above technical solution is: by using the set monitoring tool to monitor the current and voltage of the grid-connected point in the current photovoltaic energy storage system in real time, and calculate the key operating parameters based on this, it lays a data support for the subsequent power regulation of the photovoltaic energy storage system, which is conducive to improving energy utilization.

[0071] The embodiment of the present invention provides a photovoltaic energy storage system power regulation method, when receiving an AGC scheduling instruction, judging the frequency of the grid connection point based on key operating parameters to obtain a first judgment result, including:

[0072] Extract the key frequency from the key operating parameters and compare it with the set frequency range of the current grid connection point;

[0073] When the key frequency is within the set frequency range, the current grid connection point frequency is judged to be normal, and is output as the first judgment result;

[0074] When the key frequency is not within the set frequency range, the frequency of the current grid connection point is judged to be abnormal, and the result is output as the first judgment result;

[0075] If the frequency of the current grid connection point is abnormal, the frequency abnormality coefficient is calculated based on the key frequency;

[0076] Taking the current frequency anomaly coefficient as a matching condition, the frequency anomaly level is obtained from the set anomaly level mapping table;

[0077] The frequency anomaly coefficient and the frequency anomaly level are output as the first judgment result.

[0078] In this embodiment, the AGC dispatch instruction refers to an instruction issued by the power grid dispatching center for adjusting the output power of the generator to maintain the frequency and voltage stability of the power grid; the key operating parameters refer to the key frequency and the first active power generation; the set frequency range refers to the frequency value range of the grid connection point, including the set frequency upper limit and the set frequency lower limit; the frequency anomaly coefficient is used to express the degree of frequency anomaly of the current grid connection point; the set anomaly level mapping table is composed of the frequency anomaly coefficient range and the corresponding anomaly level; the frequency anomaly level is the anomaly level obtained from the set anomaly level mapping table by matching the current frequency anomaly coefficient; the first judgment result refers to the frequency judgment result, the frequency anomaly coefficient and the frequency anomaly level, wherein the frequency judgment result includes two judgment results: the grid connection point frequency is normal and the grid connection point frequency is abnormal.

[0079] The beneficial effect of the above technical solution is: by judging the frequency state of the grid connection point according to the key frequency in the key operating parameters, and determining the frequency abnormality coefficient and frequency abnormality level when the frequency is judged to be abnormal, providing data basis for the subsequent generation of key power adjustment instructions.

[0080] The embodiment of the present invention provides a method for regulating power of a photovoltaic energy storage system. The calculation formula of the frequency anomaly coefficient is as follows:

[0081] Where y1 is the frequency anomaly coefficient; p max Indicates the upper limit of the set frequency; p0 indicates the critical frequency; p min It represents the set frequency lower limit; e represents the natural base.

[0082] The beneficial effect of the above technical solution is that by calculating the frequency anomaly coefficient, the frequency anomaly degree of the current grid connection point can be quantified, providing a data basis for determining the frequency anomaly level, which is beneficial to the generation of subsequent key power regulation instructions.

[0083] The embodiment of the present invention provides a power regulation method for a photovoltaic energy storage system. According to the first judgment result, if it is judged that the frequency of the current grid-connected point is abnormal, a key power regulation instruction is generated in combination with the received AGC scheduling instruction and transmitted to the photovoltaic energy storage device, including:

[0084] When the frequency judgment result in the first judgment result is that the grid connection point frequency is normal, the currently received AGC instruction is regarded as a key power adjustment instruction;

[0085] When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is greater than the set frequency upper limit, judging whether the current AGC instruction is to increase the output;

[0086] When the AGC instruction is to increase the output, determining a first prescribed output based on the critical frequency; and when the first prescribed output is greater than the maximum output, setting the first prescribed output to the maximum output;

[0087] When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is less than the set frequency lower limit, judging whether the current AGC instruction is to reduce the output;

[0088] When the AGC instruction is to reduce the output, determining a second specified output based on the critical frequency;

[0089] The first specified output and the second specified output obtained are combined with the current power state of the photovoltaic energy storage system for analysis to generate key power adjustment instructions.

[0090] In this embodiment, the AGC dispatch instruction refers to an instruction issued by the power grid dispatching center for adjusting the output power of the generator to maintain the frequency and voltage stability of the power grid; the key power adjustment instruction refers to an instruction for adjusting the output power of the photovoltaic energy storage device, including adjusting the output power of the photovoltaic system to a first specified output and adjusting the output power of the photovoltaic system to a second specified output, wherein the first specified output and the second specified output are both regarded as desired adjustment parameters; the photovoltaic energy storage device refers to the photovoltaic inverter in the current photovoltaic system and the energy storage converter in the energy storage system; the first specified output and the second specified output are the electric powers that the photovoltaic energy storage device should output, which are determined based on the frequency state of the power grid connection point and the AGC instruction.

[0091] In this embodiment, the calculation formula of the first specified output is as follows:

[0092] Wherein, D1 represents the first specified output; D0 represents the current output; g0 represents the average response speed of the system within the preset time period t; Δp represents the absolute difference between the key frequency and the set frequency upper limit;

[0093] The calculation formula for the second specified output is as follows:

[0094] Wherein, D2 represents the second specified output; D0 represents the current output; g0 represents the average response speed of the system within the preset time period t; Δp represents the absolute difference between the key frequency and the set frequency upper limit.

[0095] The beneficial effect of the above technical solution is: by combining the frequency situation of the grid-connected point with the AGC instruction for analysis, key power regulation instructions are generated, providing an instruction basis for subsequent power regulation of photovoltaic energy storage equipment, which is beneficial to improving energy utilization.

[0096] The embodiment of the present invention provides a photovoltaic energy storage system power regulation method, which combines and analyzes the acquired first specified output, the second specified output and the current power state of the photovoltaic energy storage system to generate a key power regulation instruction, including:

[0097] If the aforementioned AGC instruction is to increase the output, the critical frequency of the grid-connected point is greater than the set frequency upper limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the photovoltaic system stops charging the energy storage system and generates a stop charging instruction to transmit to the photovoltaic device to execute the stop charging operation;

[0098] The output power of the photovoltaic system is adjusted to the first specified output to generate electricity as a key power adjustment instruction output;

[0099] If the aforementioned AGC instruction is to reduce the output, the key frequency of the grid connection point is less than the set frequency lower limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the energy storage system stops outputting and generates a stop output instruction which is transmitted to the energy storage device to execute the stop output operation;

[0100] The output power of the photovoltaic system is adjusted to the second specified output to generate electricity as the key power adjustment instruction output.

[0101] In this embodiment, the SOC of the energy storage system refers to the state of charge of the power battery of the energy storage system; the setting of the upper limit of the SOC threshold is predetermined; the first specified output and the second specified output are the electric power that the photovoltaic energy storage device should output based on the frequency state of the grid connection point and the AGC instruction; the stop charging instruction refers to the instruction for the photovoltaic system to stop charging the energy storage system; the stop output instruction refers to the instruction for the energy storage system to stop output.

[0102] The beneficial effect of the above technical solution is: by combining and analyzing the obtained first specified output and second specified output with the current power status of the photovoltaic energy storage system, key power regulation instructions are generated, which can help the power regulation of the photovoltaic energy storage system, thereby improving the stability of the photovoltaic energy storage system and the resource utilization efficiency.

[0103] The embodiment of the present invention provides a photovoltaic energy storage system power regulation method, which monitors the process of photovoltaic energy storage equipment executing the key power regulation instruction in real time and feeds back the execution result to the power plant, including:

[0104] Using a setting tool to monitor in real time the adjustment process of the photovoltaic energy storage device executing the key power adjustment command, and obtaining the command execution process data;

[0105] Feeding back the instruction execution process data as the execution result to the current photovoltaic energy storage system;

[0106] The photovoltaic energy storage system analyzes the current execution result, compares the first operating state parameter in the instruction execution process data with the corresponding set state parameter threshold, and marks the first operating state parameter greater than the set state parameter threshold as an abnormal state parameter;

[0107] If the photovoltaic energy storage device has abnormal state parameters, the current photovoltaic energy storage device is marked as an abnormal operation device, and a first abnormal coefficient of the abnormal state parameter is obtained;

[0108] From the set exception handling strategy table, use the exception state parameter and the corresponding first exception coefficient as the screening conditions to screen out the operation exception handling strategy;

[0109] Using the operation abnormality handling strategy to perform abnormality handling on the corresponding operation abnormality device;

[0110] Based on the comparison between the first adjustment parameter in the instruction execution process data and the corresponding expected adjustment parameter in the key power adjustment instruction, the instruction execution effect is evaluated to obtain an execution evaluation coefficient;

[0111] When the execution evaluation coefficient is greater than the set evaluation threshold, it is determined that the current execution effect is normal;

[0112] When the execution evaluation coefficient is not greater than the set evaluation threshold, it is determined that the current execution effect is abnormal, and the current photovoltaic energy storage device is marked as an execution abnormal device;

[0113] According to the execution evaluation coefficient, the execution abnormality level is obtained from the set execution level table;

[0114] The device type and execution exception level of the execution exception device are used as matching conditions, and the execution exception processing solution is extracted from the preset execution processing solution database to perform exception processing on the current execution exception device.

[0115] In this embodiment, the setting tool refers to a tool for real-time monitoring of photovoltaic energy storage equipment, such as a current sensor; the instruction execution process data is composed of a first operating state parameter and a first adjustment parameter, wherein the first adjustment parameter refers to the output power of the device; the first operating state parameter refers to the operating data of the photovoltaic energy storage device executing the key power adjustment instruction, such as current, voltage, etc.; the execution result refers to the instruction execution process data.

[0116] In this embodiment, the set state parameter threshold is predetermined; the abnormal state parameter refers to the first operating state parameter that is greater than the set state parameter threshold; the abnormal operation device refers to the photovoltaic energy storage device with abnormal state parameters; the first abnormal coefficient is represented by the parameter difference between the set state parameter threshold and the first operating state parameter; the set abnormal processing strategy table is composed of the abnormal state parameter, the corresponding first abnormal coefficient and the abnormal processing strategy; the abnormal operation processing strategy refers to the processing strategy screened out from the set abnormal processing strategy table with the abnormal state parameter and the corresponding first abnormal coefficient as screening conditions.

[0117] In this embodiment, the execution evaluation coefficient is used to describe the execution effect of the current photovoltaic energy storage device executing the key power adjustment instruction, which is the parameter difference between the first adjustment parameter and the expected adjustment parameter corresponding to the key power adjustment instruction; the set evaluation threshold is predetermined; the execution abnormal device refers to the photovoltaic energy storage device whose execution evaluation coefficient is not greater than the set evaluation threshold; the set execution level table is composed of the execution evaluation coefficient range and the corresponding abnormal level; the execution abnormal level is the level matched from the set execution level table by using the execution evaluation coefficient as the matching condition, including three levels: general, serious and very serious; the preset execution processing solution database is a preset database, which is composed of device type, execution abnormality level and corresponding abnormal processing solution; the execution abnormality processing strategy refers to the abnormal processing solution extracted from the preset execution processing solution database by using the device type and execution abnormality level of the execution abnormal device as the matching condition;

[0118] The beneficial effects of the above technical solution are: by real-time monitoring of the adjustment process of photovoltaic energy storage equipment in executing key power adjustment instructions, abnormal analysis of equipment operation status analysis and equipment instruction execution is performed, and timely response is made when abnormalities exist, which can effectively improve the overall performance and operation efficiency of the photovoltaic energy storage system.

[0119] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A photovoltaic energy storage system power regulation method, characterized in that: include: Step 1: Real-time monitoring of key data of the grid-connected points in the current photovoltaic energy storage system, and analysis of the key data to obtain key operating parameters of the corresponding grid-connected points; Step 2: When the AGC dispatch instruction is received, the frequency of the grid connection point is judged based on the key operating parameters to obtain a first judgment result; Step 3: Based on the first judgment result, if it is judged that the frequency of the current grid-connected point is abnormal, a key power adjustment instruction is generated in combination with the received AGC scheduling instruction and transmitted to the photovoltaic energy storage device; Step 4: Monitor in real time the process of the photovoltaic energy storage device executing the key power adjustment instruction, and feed back the execution result to the photovoltaic energy storage system.

2. A photovoltaic energy storage system power regulation method according to claim 1, characterized in that: Real-time monitoring of key data of the grid connection point in the current photovoltaic energy storage system, and analysis of the key data to obtain the key operating parameters of the corresponding grid connection point, including: Using the set monitoring tool to monitor the current, voltage and frequency of the grid connection point in the current photovoltaic energy storage system in real time, obtain the first real-time current, the first real-time voltage and the first real-time frequency respectively, and regard them as key data; Substituting the first real-time current and the first real-time voltage into a set formula, and calculating the first frequency and the first generated active power of the current grid-connected point; Calculate the average value of the first frequency and the first real-time frequency to obtain the key frequency; The key frequency and the first generated active power are output as key operating parameters.

3. A photovoltaic energy storage system power regulation method according to claim 2, characterized in that: The setting monitoring tools refer to current sensors, voltage sensors and frequency detection equipment.

4. A photovoltaic energy storage system power regulation method according to claim 1, characterized in that: When the AGC dispatch instruction is received, the frequency of the grid connection point is judged based on the key operating parameters to obtain a first judgment result, including: Extract the key frequency from the key operating parameters and compare it with the set frequency range of the current grid connection point; When the key frequency is within the set frequency range, the current grid connection point frequency is judged to be normal, and is output as the first judgment result; When the key frequency is not within the set frequency range, the frequency of the current grid connection point is judged to be abnormal, and the result is output as the first judgment result; If the frequency of the current grid connection point is abnormal, the frequency abnormality coefficient is calculated based on the key frequency; Taking the current frequency anomaly coefficient as a matching condition, the frequency anomaly level is obtained from the set anomaly level mapping table; The frequency anomaly coefficient and the frequency anomaly level are output as the first judgment result.

5. A photovoltaic energy storage system power regulation method according to claim 4, characterized in that: The calculation formula of frequency anomaly coefficient is as follows: Where y1 is the frequency anomaly coefficient; p max Indicates the upper limit of the set frequency; p0 indicates the critical frequency; p min It represents the set frequency lower limit; e represents the natural base.

6. A photovoltaic energy storage system power regulation method according to claim 1, characterized in that: According to the first judgment result, if it is judged that the frequency of the current grid-connected point is abnormal, a key power adjustment instruction is generated and transmitted to the photovoltaic energy storage device in combination with the received AGC scheduling instruction, including: When the frequency judgment result in the first judgment result is that the grid connection point frequency is normal, the currently received AGC instruction is regarded as a key power adjustment instruction; When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is greater than the set frequency upper limit, judging whether the current AGC instruction is to increase the output; When the AGC instruction is to increase the output, determining a first prescribed output based on the critical frequency; and when the first prescribed output is greater than the maximum output, setting the first prescribed output to the maximum output; When the frequency judgment result in the first judgment result is that the grid connection point frequency is abnormal, and the key frequency is less than the set frequency lower limit, judging whether the current AGC instruction is to reduce the output; When the AGC instruction is to reduce the output, determining a second specified output based on the critical frequency; The first specified output and the second specified output obtained are combined with the current power state of the photovoltaic energy storage system for analysis to generate key power adjustment instructions.

7. A photovoltaic energy storage system power regulation method according to claim 6, characterized in that: The first specified output and the second specified output obtained are combined and analyzed with the current power state of the photovoltaic energy storage system to generate key power adjustment instructions, including: If the aforementioned AGC instruction is to increase the output, the critical frequency of the grid-connected point is greater than the set frequency upper limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the photovoltaic system stops charging the energy storage system and generates a stop charging instruction to transmit to the photovoltaic device to execute the stop charging operation; The output power of the photovoltaic system is adjusted to the first specified output to generate electricity as a key power adjustment instruction output; If the aforementioned AGC instruction is to reduce the output, the key frequency of the grid connection point is less than the set frequency lower limit, the photovoltaic system generates sufficient power and the energy storage system SOC exceeds the set SOC threshold upper limit, the energy storage system stops outputting and generates a stop output instruction which is transmitted to the energy storage device to execute the stop output operation; The output power of the photovoltaic system is adjusted to the second specified output to generate electricity as the key power adjustment instruction output.

8. A photovoltaic energy storage system power regulation method according to claim 1, characterized in that: Real-time monitoring of the photovoltaic energy storage equipment executing the key power adjustment instructions and feeding back the execution results to the power plant, including Using a setting tool to monitor in real time the adjustment process of the photovoltaic energy storage device executing the key power adjustment command, and obtaining the command execution process data; Feeding back the instruction execution process data as the execution result to the current photovoltaic energy storage system; The photovoltaic energy storage system analyzes the current execution result, compares the first operating state parameter in the instruction execution process data with the corresponding set state parameter threshold, and marks the first operating state parameter greater than the set state parameter threshold as an abnormal state parameter; If the photovoltaic energy storage device has abnormal state parameters, the current photovoltaic energy storage device is marked as an abnormal operation device, and a first abnormal coefficient of the abnormal state parameter is obtained; From the set exception handling strategy table, use the exception state parameter and the corresponding first exception coefficient as the screening conditions to screen out the operation exception handling strategy; Using the operation abnormality handling strategy to perform abnormality handling on the corresponding operation abnormality device; Based on the comparison between the first adjustment parameter in the instruction execution process data and the corresponding expected adjustment parameter in the key power adjustment instruction, the instruction execution effect is evaluated to obtain an execution evaluation coefficient; When the execution evaluation coefficient is greater than the set evaluation threshold, it is determined that the current execution effect is normal; When the execution evaluation coefficient is not greater than the set evaluation threshold, it is determined that the current execution effect is abnormal, and the current photovoltaic energy storage device is marked as an execution abnormal device; According to the execution evaluation coefficient, the execution abnormality level is obtained from the set execution level table; The device type and execution exception level of the execution exception device are used as matching conditions, and the execution exception processing solution is extracted from the preset execution processing solution database to perform exception processing on the current execution exception device.

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