Non-invasive Operation Control Index Monitoring and Analysis Method and System for Energy Storage Station

Abstract

The present invention relates to the field of energy storage technologies, and particularly relates to a non-intrusive operation control index monitoring and analysis method and system for an energy storage station. The energy storage station includes a dispatching master station, a telecontrol workstation, AGC, AVC, EMS, and multiple battery energy storage devices. Each battery energy storage device includes a BMS and a PCS. The dispatching master station, the telecontrol workstation, AGC, AVC, and EMS form a station control layer and are in the station control layer network. The monitoring and analysis system can be connected to the station control layer network. The method includes: when the monitoring and analysis system is connected to the station control layer network, determining all communication protocols of the energy storage station and their corresponding message formats; selecting a suitable message capture tool according to the determined communication protocols and corresponding message formats; extracting messages through the message capture tool; and extracting, storing, and analyzing key information in the messages. The present invention adopts a non-intrusive solution. By only connecting to the in-station network and without establishing a communication link and connection with in-station devices, it can realize the monitoring and analysis of in-station device data.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and particularly relates to a non-invasive operation control index monitoring and analysis method and system for an energy storage station. Background Art

[0002] With the rapid development of the global economy, the demand for energy has been increasing year by year, and problems such as energy shortage, pollution and damage to the ecological environment have become increasingly prominent. Especially in recent years, affected by the global energy crisis, electrochemical energy storage stations have developed rapidly in the global market due to their own advantages.

[0003] An electrochemical energy storage station is a facility that uses electrochemical technology for energy storage and release. It usually includes multiple energy storage units, which are composed of batteries, battery management systems, and auxiliary equipment, etc. The electrochemical energy storage station stores electrical energy by converting it into chemical energy through chemical reactions inside the battery, and converts the chemical energy back into electrical energy for release when needed. The electrochemical energy storage station has multiple functions in the power system. First of all, it can smooth the load fluctuations of the power system and balance the supply and demand relationship of the system by absorbing and releasing energy. Secondly, the electrochemical energy storage station can provide backup power to supply power to key facilities in case of power system failures or emergencies. In addition, it can also be used to improve the stability and reliability of the power system and optimize the utilization of renewable energy.

[0004] In the prior art, for data collection of an electrochemical energy storage station, a forwarding channel needs to be added on the device side to forward the required data to the target device. This solution increases the data processing and communication pressure of the device and may affect the operation of the device.

[0005] In view of this, there is a need in the art for a non-invasive operation control index monitoring and analysis method and system for an energy storage station to solve the above problems. Summary of the Invention

[0006] In order to solve the above technical problems, that is, to solve the problem that data collection of an energy storage station in the prior art increases the data processing and communication pressure of the device, thereby affecting the operation of the device, the present invention provides a non-invasive operation control index monitoring and analysis method and system for an energy storage station, aiming to adopt a non-invasive solution, which only needs to access the in-station network without establishing a communication link and connection with the in-station devices, and can realize the monitoring and analysis of the data of the in-station devices.

[0007] In a first aspect, the present invention provides a non-intrusive operation control index monitoring and analysis method for an energy storage station. The energy storage station includes a dispatching master station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS, and a plurality of battery energy storage devices. Each battery energy storage device includes a battery management system BMS and a power conversion system PCS. The dispatching master station communicates with the telecontrol workstation, and the telecontrol workstation and the energy management system EMS respectively communicate with the automatic generation control device AGC, the automatic voltage control device AVC, and the plurality of battery energy storage devices. The dispatching master station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC, and the energy management system EMS constitute a station control layer and are in a station control layer network. The plurality of battery energy storage devices constitute an interval layer, and a monitoring and analysis system is selectively connected to the station control layer network;

[0008] The method includes:

[0009] S1: In the case where the monitoring and analysis system is connected to the station control layer network, determine all communication protocols of the energy storage station and the message format corresponding to each communication protocol;

[0010] S2: Select a suitable message capture tool according to the determined communication protocols and the corresponding message formats;

[0011] S3: Extract messages through the selected message capture tool;

[0012] S4: Analyze and process the extracted messages, and extract key information in the messages;

[0013] S5: Store the key information in the extracted messages;

[0014] S6: Analyze all the stored information.

[0015] Preferably, all the stored information includes AGC index-related information, and step S6 includes:

[0016] Calculate the adjustment rate k of the AGC control command through the following formula (1) 1 ,

[0017]

[0018] where P 1 is the response power at the response time point t 1 in the AGC adjustment period, and P 2 is the response power at the response time point t 2 in the AGC adjustment period, and P bis the standard adjustment rate, and C is a constant value established to avoid over-adjustment when the power generation unit responds to the AGC control command;

[0019] Calculate the response time k of the AGC control command through the following formula (2) 2 ,

[0020] k 2 = 1 - λ 1 Δt / 300 (2)

[0021] Where, λ 1 is the response time correction coefficient of the power generation unit, and Δt is the response delay time of the power generation unit;

[0022] Calculate the adjustment accuracy k of the AGC control command through the following formula (3) 3 ,

[0023] k 3 = 1 - λ 2 Δs / s (3)

[0024] Where, λ 2 is the adjustment accuracy correction coefficient of the power generation unit, Δs is the adjustment error of the power generation unit, and s is the allowable adjustment error of the power generation unit;

[0025] Calculate the AGC comprehensive frequency modulation performance index k through the following formula (4),

[0026] k = 0.25×(2k 1 + k 2 + k 3 ) (4).

[0027] Preferably, step S6 further includes:

[0028] Calculate the AGC operation rate O through the following formula (5) p ,

[0029]

[0030] Where, T s is the AGC operation time, and T z is the total operation time of the AGC.

[0031] Preferably, all the stored information includes AVC index-related information, and step S6 includes:

[0032] Calculate the AVC comprehensive voltage stability index I through the following formula (6),

[0033] I = w 1 U h + (1 - w 2 U p ) + (1 - w3 U b ) (6)

[0034] Among them, U h is the voltage qualification rate, U p is the voltage deviation rate, U b is the voltage fluctuation rate, w 1 , w 2 and w 3 are the weight coefficients of the voltage qualification rate U h , the voltage deviation rate U p and the voltage fluctuation rate U b respectively, and w 1 + w 2 + w 3 = 1.

[0035] Preferably, step S6 further includes:

[0036] Calculate the AVC adjustment qualification rate through the following formula (7),

[0037]

[0038] Among them, N s is the number of qualified AVC adjustments, and N z is the total number of AVC adjustments.

[0039] Preferably, all the stored information includes information related to the primary frequency regulation index, and step S6 includes:

[0040] Calculate the power contribution E of the primary frequency regulation through the following formula (8) g ,

[0041] E g = ∫(Ρ j - Ρ k )dt (8)

[0042] Among them, Ρ j is the real-time power during the primary frequency regulation, Ρ k is the initial power of the primary frequency regulation, and ∫ represents the integral with respect to time t, which is used to calculate the power accumulation during the entire primary frequency regulation process.

[0043] Preferably, the content of analyzing all the stored information includes at least one of the communication information of the protocol, the connection information of the network channel, the telemetry information, the telemetry information, the remote adjustment information, the remote control information, the pulse information, the AGC command information, the AVC command information, and the primary frequency regulation information.

[0044] Preferably, the packet capture tool includes Wireshark, Tcpdump, Fiddler, Charles, NetworkMonitor, CommMonitor, and Burp Suite.

[0045] Preferably, the energy storage station further includes a monitoring and display device, and the monitoring and display device communicates with the plurality of battery energy storage devices.

[0046] In a second aspect, the present invention further provides a non-intrusive operation control index monitoring and analysis system for an energy storage station. The energy storage station includes a dispatching master station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS, and a plurality of battery energy storage devices. Each battery energy storage device includes a battery management system BMS and a power conversion system PCS. The dispatching master station communicates with the telecontrol workstation, and the telecontrol workstation and the energy management system EMS respectively communicate with the automatic generation control device AGC, the automatic voltage control device AVC, and the plurality of battery energy storage devices. The dispatching master station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC, and the energy management system EMS form a station control layer and are in a station control layer network. The plurality of battery energy storage devices form an interval layer, and the monitoring and analysis system selectively accesses the station control layer network;

[0047] The system includes:

[0048] A determination module, which is used to determine all communication protocols of the energy storage station and the corresponding message format for each communication protocol when the monitoring and analysis system accesses the station control layer network;

[0049] A selection module, which is used to select a suitable packet capture tool according to the determined communication protocol and the corresponding message format;

[0050] An extraction module, which is used to extract messages through the selected packet capture tool;

[0051] A processing module, which is used to parse and process the extracted messages and extract key information in the messages;

[0052] A storage module, which is used to store the key information in the extracted messages;

[0053] An analysis module, which is used to analyze all the stored information.

[0054] As can be seen from the above, a source-load-storage multi-agent coordinated control method and device provided by the present invention have the following beneficial technical effects:

[0055] The present invention adopts a non-invasive solution. It only needs to connect the monitoring and analysis system to the station control layer network, without the need to establish communication links and connections with the in-station devices, and can realize the monitoring of in-station device data and index analysis, thus avoiding affecting the operation of the devices. It can be plug-and-play for both newly built and already operating energy storage power stations, simplifying the on-site installation and configuration process. Moreover, compared with the previous index analysis of energy storage power stations, which is mainly based on the data processed by the energy management system (EMS), this part of the data depends on the software algorithms, performance, and configuration of the energy management system (EMS). It can neither guarantee the time accuracy of the data nor the coverage rate of the index analysis data. The index calculation of the electrochemical energy storage power station based on message analysis in the present invention, that is, the index analysis based on message analysis, is decoupled from the energy management system (EMS), and can realize the refined index calculation for any energy storage power station, and can be compatible with devices such as the energy management system (EMS), power conversion system (PCS), and battery management system (BMS) of various manufacturers. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings. The drawings are schematic and should not be construed as imposing any limitation on the present invention. In the drawings:

[0057] Figure 1 is a schematic structural diagram of the energy storage station of the present invention;

[0058] Figure 2 is a flowchart of the non-invasive operation control index monitoring and analysis method of the energy storage station of the present invention;

[0059] Figure 3 is a schematic structural diagram of the non-invasive operation control index monitoring and analysis system of the energy storage station of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0061] Based on the problem in the prior art pointed out in the background art that the data acquisition of the energy storage station will increase the data processing and communication pressure of the devices, thus affecting the operation of the devices, the present invention provides a non-invasive operation control index monitoring and analysis method and system for an energy storage station, aiming to adopt a non-invasive solution. By simply connecting to the in-station network and without the need to establish communication links and connections with the in-station devices, the monitoring and analysis of in-station device data can be realized.

[0062] AsFigure 1 As shown in the figure, the energy storage station of the present invention includes a dispatching master station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS, and multiple battery energy storage devices. Each battery energy storage device includes a battery management system BMS and a power conversion system PCS. The dispatching master station communicates with the telecontrol workstation, and the telecontrol workstation and the energy management system EMS respectively communicate with the automatic generation control device AGC, the automatic voltage control device AVC, and multiple battery energy storage devices. The dispatching master station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC, and the energy management system EMS constitute the station control layer and are in the station control layer network. Multiple battery energy storage devices constitute the bay layer. The monitoring and analysis system selectively accesses the station control layer network, that is, the monitoring and analysis system only accesses the station control layer network when needed and does not need to access the station control layer network when not needed. This non-intrusive solution can not only achieve fine-index monitoring and analysis of the energy storage station, but also will not affect the operation of the equipment in the energy storage station.

[0063] In the above, the dispatching master station can send control instructions to the telecontrol workstation, and the telecontrol workstation can respectively send control instructions to the automatic generation control device AGC and the automatic voltage control device AVC. The automatic generation control device AGC and the automatic voltage control device AVC send their respective control instructions to the energy management system EMS, and the energy management system EMS sends control instructions to each battery energy storage device. The battery energy storage device can then feedback operation information to the telecontrol workstation, such as tele-signaling information, telemetry information, remote adjustment information, remote control information, pulse information, etc. Frequent communication and interaction among the devices inside the energy storage station will generate a large number of messages, and there are very diverse communication protocols in the energy storage station. For example, the current mainstream communication protocols in the power system are MMS, GOOSE, IEC104, MODBUS, etc.

[0064] Preferably, the energy storage station may further include a monitoring and display device, and the monitoring and display device communicates with multiple battery energy storage devices, so as to be able to display the relevant operation information of the energy storage station.

[0065] As Figure 2 shown, the non-intrusive operation control index monitoring and analysis method of the energy storage station of the present invention includes:

[0066] S1: In the case where the monitoring and analysis system accesses the station control layer network, determine all the communication protocols of the energy storage station and the message format corresponding to each communication protocol.

[0067] There are various communication protocols in the energy storage station, and different communication protocols correspond to different message formats. The relevant content can refer to the standards of various communication protocols and will not be elaborated here.

[0068] S2: Select a suitable message capture tool according to the determined communication protocols and the corresponding message formats.

[0069] For different communication protocols and corresponding message formats, the most suitable message capture tool can be selected. Message capture tools include Wireshark, Tcpdump, Fiddler, Charles, Network Monitor, CommMonitor, and BurpSuite, etc. For example, information of the IEC104 protocol can be extracted through Wireshark, which provides powerful filtering and searching functions, as well as detailed data packet analysis functions, and can help users easily capture and view the data packet content of the IEC104 protocol. Another example is the MODBUS protocol, for which information can be extracted through CommMonitor, which can monitor the data in the serial communication process, including MODBUS messages, and provides intuitive data display and analysis functions.

[0070] S3: Extract the message through the selected message capture tool.

[0071] S4: Analyze and process the extracted message, and extract the key information in the message.

[0072] S5: Store the key information in the extracted message.

[0073] In the above, the monitoring and analysis system can include a database, and all the collected key information is stored in the database for subsequent retrieval and analysis.

[0074] S6: Analyze all the stored information.

[0075] In the above, the content of analyzing all the stored information includes at least one of the specified communication information, network channel connection information, telemetry signal information, telemetering information, remote regulation information, remote control information, pulse information, AGC command information, AVC command information, and primary frequency regulation information. Specifically, the communication situation of the specified protocol and the TCP connection situation of the network channel can be analyzed in real time, and real-time monitoring and alarming can be carried out for situations such as TCP connection interruption of the network channel, link call and confirmation, end of initialization, timeout of sending and receiving messages, and incorrect message sequence number. It is also possible to display all the information related to the channel by capturing and parsing the channel messages, including real-time data, historical data, message query, and channel status, etc., and save the monitored content in real time to realize functions such as real-time query, export, and printing of historical data, historical messages, etc. For the AI / AO range conversion and upper and lower limit tables, identify data that exceeds the limits or is invalid, and perform engineering interpretation on the point numbers and values in the telemetry signal, telemetering, remote regulation, remote control, and pulse messages reported with full data and changed data. Provide non-real-time analysis, processing, and recording for situations such as data not being refreshed, incorrect data, data call, time synchronization message, reset information, and parameter downloading in the background operation. Taking the IEC104 protocol as an example, it can parse the dispatching instructions for communication according to the 104 protocol, obtain the AGC command, AVC command, command issuing time sent by the dispatching master station, and the response of the remote terminal unit to the command in a timely manner from the messages, analyze the messages reported by the remote terminal unit to the dispatching master station after receiving the AGC command and AVC command, obtain the situation of the remote terminal unit reporting real-time data, and perform real-time monitoring and alarming for situations such as the issuance of AGC command and AVC command, command response, and data not being refreshed within the set time interval.

[0076] In some preferred embodiments, all the stored information includes information related to AGC indicators, and the above step S6 includes:

[0077] Calculate the adjustment rate k of the AGC control command through the following formula (1) 1 ,

[0078]

[0079] where P 1 is the response power at the response time point t 1 within the AGC adjustment period, P 2 is the response power at the response time point t 2 within the AGC adjustment period, P bis the standard adjustment rate, C is a constant value established to avoid over-adjustment when the power generation unit responds to the AGC control instruction. For example, when a battery energy storage device is used as the power generation unit in response to the AGC control instruction, C can be 4; when multiple battery energy storage devices are used as the power generation unit in response to the AGC control instruction, C can be 5, and its specific value can also be adjusted according to the capacity of the electrochemical energy storage station;

[0080] Calculate the response time k of the AGC control instruction through the following formula (2) 2 ,

[0081] k 2 = 1 - λ 1 Δt / 300 (2)

[0082] where λ 1 is the response time correction coefficient of the power generation unit. For example, when multiple battery energy storage devices are used as the power generation unit in response to the AGC control instruction, λ 1 can be 1; when a battery energy storage device is used as the power generation unit in response to the AGC control instruction, λ 1 can be 0.9, and Δt is the response delay time of the power generation unit;

[0083] Calculate the adjustment accuracy k of the AGC control instruction through the following formula (3) 3 ,

[0084] k 3 = 1 - λ 2 Δs / s (3)

[0085] where λ 2 is the adjustment accuracy correction coefficient of the power generation unit. For example, when multiple battery energy storage devices are used as the power generation unit in response to the AGC control instruction, λ 2 can be 1; when a battery energy storage device is used as the power generation unit in response to the AGC control instruction, λ 2 can be 0.95, Δs is the adjustment error of the power generation unit, and s is the allowable adjustment error of the power generation unit;

[0086] Calculate the AGC comprehensive frequency modulation performance index k through the following formula (4),

[0087] k = 0.25×(2k 1 + k 2 + k 3 ) (4).

[0088] In some preferred embodiments, the above step S6 further includes:

[0089] Calculate the AGC operation rate 0 through the following formula (5) p ,

[0090]

[0091] Among them, T s is the AGC commissioning time, and T z is the total AGC operation time.

[0092] In some preferred embodiments, all the stored information includes AVC index-related information, and the above step S6 includes:

[0093] Calculate the AVC comprehensive voltage stability index I through the following formula (6),

[0094] I = w 1 U h +(1 - w 2 U p )+(1 - w 3 U b ) (6)

[0095] Among them, U h is the voltage qualification rate, U p is the voltage deviation rate, U b is the voltage fluctuation rate, w 1 , w 2 and w 3 are the weight coefficients of the voltage qualification rate U h , the voltage deviation rate U p and the voltage fluctuation rate U b respectively, and w 1 +w 2 +w 3 = 1. According to the calculation result, the higher the value of I, the better the performance of AVC in maintaining voltage stability.

[0096] Preferably, the above step S6 further includes:

[0097] Calculate the AVC regulation qualification rate through the following formula (7),

[0098]

[0099] Among them, N s is the number of qualified AVC regulations, and N z is the total number of AVC regulations

[0100] Preferably, all the stored information includes primary frequency regulation index-related information, and the above step S6 includes:

[0101] Calculate the power contribution E g of primary frequency regulation through the following formula (8),

[0102] E g = ∫(Pj -P k )dt (8)

[0103] wherein, P j is the real-time power during the primary frequency regulation process, P k is the initial power of the primary frequency regulation, and ∫ represents the integral with respect to time t, which is used to calculate the electricity accumulation during the entire primary frequency regulation process.

[0104] It should be noted that the method of the present invention can be executed by a single device, such as a computer or a server, etc. The method of the present invention can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In this case of the distributed scenario, one of the multiple devices can only execute one or more steps of the method of the present invention, and these multiple devices will interact with each other to complete the described method.

[0105] It should be noted that the above specific embodiments of the present invention have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order from that in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0106] For the same purpose, corresponding to the method of any of the above embodiments, an embodiment of the present invention further provides a non-intrusive operation control index monitoring and analysis system for an energy storage station. The energy storage station includes a dispatching master station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS, and multiple battery energy storage devices. Each battery energy storage device includes a battery management system BMS and a power conversion system PCS. The dispatching master station communicates with the telecontrol workstation, and the telecontrol workstation and the energy management system EMS respectively communicate with the automatic generation control device AGC, the automatic voltage control device AVC, and the multiple battery energy storage devices. The dispatching master station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC, and the energy management system EMS constitute the station control layer and are in the station control layer network. The multiple battery energy storage devices constitute the bay layer, and the monitoring and analysis system is selectively connected to the station control layer network.

[0107] As Figure 3 shown, the system includes:

[0108] A determination module 100, which is used to determine all the communication protocols of the energy storage station and the message format corresponding to each communication protocol when the monitoring and analysis system is connected to the station control layer network;

[0109] A selection module 200, which is used to select a suitable packet capture tool according to the determined communication protocol and the corresponding message format;

[0110] An extraction module 300, which is used to extract messages through the selected packet capture tool;

[0111] A processing module 400, which is used to parse and process the extracted messages and extract key information in the messages;

[0112] A storage module 500, which is used to store the key information in the extracted messages;

[0113] An analysis module 600, which is used to analyze all the stored information.

[0114] For the convenience of description, when describing the above system, it is described separately as various modules according to functions. Of course, when implementing the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0115] The device in the above embodiment is used to implement the corresponding control method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be elaborated here.

[0116] For the convenience of description, when describing the above device, it is described separately as various units according to functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0117] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods and devices. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects.

[0118] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, commodity or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, commodity or device including the said element.

[0119] The embodiments of the present invention are all described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

[0120] Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the concept of the present disclosure, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present invention as described above, which are not provided in detail for the sake of brevity.

[0121] Although the present disclosure has been described in connection with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description.

[0122] One or more embodiments of the present invention are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims. Accordingly, any omission, modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of the present invention shall be included within the protection scope of the present disclosure.

Claims

1. A non-intrusive operation control index monitoring and analysis method for an energy storage station, characterized in that: The energy storage station includes a dispatching main station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS and a plurality of battery energy storage devices, each of which includes a battery management system BMS and a power conversion system PCS, the dispatching main station communicates with the telecontrol workstation, the telecontrol workstation and the energy management system EMS communicate with the automatic generation control device AGC, the automatic voltage control device AVC and the plurality of battery energy storage devices respectively, the dispatching main station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC and the plurality of battery energy storage devices constitute a station control layer and are in the station control layer network, the plurality of battery energy storage devices constitute an interval layer, and the monitoring and analysis system selectively accesses the station control layer network; The method comprises: S1: When the monitoring and analysis system is connected to the station control layer network, determine all communication protocols of the energy storage station and the message format corresponding to each communication protocol; S2: Select a suitable packet capture tool according to the determined communication protocol and the corresponding message format; S3: extract the message through the selected message capture tool; S4: parsing and processing the extracted message to extract key information from the message; S5: storing the key information in the extracted message; S6: Analyze all stored information; All stored information includes information related to AGC indicators. Step S6 includes: The adjustment rate k1 of the AGC control command is calculated by the following formula (1): Wherein, P1 is the response power at time point t1 within the AGC adjustment cycle, P2 is the response power at time point t2 within the AGC adjustment cycle, and P b is the standard regulation rate, C is the constant value established to avoid overregulation when the power generation unit responds to the AGC control command; The response time k2 of the AGC control instruction is calculated by the following formula (2): k2=1-λ1Δt / 300 (2) Among them, λ1 is the response time correction coefficient of the power generation unit, and Δt is the response delay time of the power generation unit; The adjustment accuracy k3 of the AGC control command is calculated by the following formula (3): k3=1-λ2Δs / s (3) Among them, λ2 is the adjustment accuracy correction coefficient of the power generation unit, Δs is the adjustment error of the power generation unit, and s is the allowable adjustment error of the power generation unit; The AGC comprehensive frequency modulation performance index k is calculated by the following formula (4): k=0.25×(2k1+k2+k3) (4) The AGC operation rate O is calculated by the following formula (5): p , Among them, T s is the AGC commissioning time, T z is the total AGC operation time; All stored information includes information related to the AVC index. The AVC comprehensive voltage stability index I is calculated using the following formula (6): I=w1U h +(1-w2U p )+(1-w3U b ) (6) Among them, U h is the voltage qualification rate, U p is the voltage deviation rate, U b is the voltage fluctuation rate, w1, w2 and w3 are the voltage qualification rates U h , voltage deviation rate U p and voltage fluctuation rate U b The weight coefficient is w1+w2+w3=1; The AVC adjustment pass rate is calculated by the following formula (7): Among them, N s N is the number of AVC qualified adjustments. z is the total number of AVC adjustments; All the information stored includes the information related to the primary frequency regulation index. The power contribution E of the primary frequency regulation is calculated by the following formula (8): g , HAVE BEEN g =∫(P j -P k )dt (8) Among them, P j is the real-time power during a frequency modulation process, P k is the initial power of a frequency modulation, ∫ represents the integral of time t, which is used to calculate the accumulated power in the entire frequency modulation process.

2. The non-intrusive operation control index monitoring and analysis method of energy storage station according to claim 1 is characterized in that: The content of analyzing all the stored information includes at least one of the communication information of the protocol, the connection information of the network channel, the telesignaling information, the telemetering information, the teleadjustment information, the remote control information, the pulse information, the AGC command information, the AVC command information and the primary frequency modulation information.

3. The non-intrusive operation control index monitoring and analysis method of energy storage station according to claim 1 is characterized in that: The packet capture tools include Wireshark, Tcpdump, Fiddler, Charles, Network Monitor, CommMonitor and Burp Suite.

4. The non-intrusive operation control index monitoring and analysis method for an energy storage station according to any one of claims 1 to 3, characterized in that: The energy storage station also includes a monitoring display device, which communicates with the plurality of battery energy storage devices.

5. A non-intrusive operation control index monitoring and analysis system for an energy storage station, characterized in that: The energy storage station includes a dispatching main station, a telecontrol workstation, an automatic generation control device AGC, an automatic voltage control device AVC, an energy management system EMS and a plurality of battery energy storage devices, each of which includes a battery management system BMS and a power conversion system PCS, the dispatching main station communicates with the telecontrol workstation, the telecontrol workstation and the energy management system EMS communicate with the automatic generation control device AGC, the automatic voltage control device AVC and the plurality of battery energy storage devices respectively, the dispatching main station, the telecontrol workstation, the automatic generation control device AGC, the automatic voltage control device AVC and the plurality of battery energy storage devices constitute a station control layer and are in the station control layer network, the plurality of battery energy storage devices constitute an interval layer, and the monitoring and analysis system selectively accesses the station control layer network; The system comprises: A determination module, which is used to determine all communication protocols of the energy storage station and the message format corresponding to each communication protocol when the monitoring and analysis system is connected to the station control layer network; A selection module, which is used to select a suitable packet capture tool according to the determined communication protocol and the corresponding message format; An extraction module, which is used to extract the message through the selected message capture tool; A processing module, which is used to parse and process the extracted messages and extract key information from the messages; A storage module, which is used to store key information in the extracted message; An analysis module, which is used to analyze all stored information; All stored information includes information related to AGC indicators. Analysis of all stored information includes: The adjustment rate k1 of the AGC control command is calculated by the following formula (1): Wherein, P1 is the response power at time point t1 within the AGC adjustment cycle, P2 is the response power at time point t2 within the AGC adjustment cycle, and P b is the standard regulation rate, C is the constant value established to avoid overregulation when the power generation unit responds to the AGC control command; The response time k2 of the AGC control instruction is calculated by the following formula (2): k2=1-λ1Δt / 300 (2) Among them, λ1 is the response time correction coefficient of the power generation unit, and Δt is the response delay time of the power generation unit; The adjustment accuracy k3 of the AGC control command is calculated by the following formula (3): k3=1-λ2Δs / s (3) Among them, λ2 is the adjustment accuracy correction coefficient of the power generation unit, Δs is the adjustment error of the power generation unit, and s is the allowable adjustment error of the power generation unit; The AGC comprehensive frequency modulation performance index k is calculated by the following formula (4): k=0.25×(2k1+k2+k3) (4) The AGC operation rate O is calculated by the following formula (5): p , Among them, T s is the AGC commissioning time, T z is the total AGC operation time; All stored information includes information related to the AVC index. The AVC comprehensive voltage stability index I is calculated using the following formula (6): I=w1U h +(1-w2U p )+(1-w3U b ) (6) Among them, U h is the voltage qualification rate, U p is the voltage deviation rate, U b is the voltage fluctuation rate, w1, w2 and w3 are the voltage qualification rates U h , voltage deviation rate U p and voltage fluctuation rate U b The weight coefficient is w1+w2+w3=1; The AVC adjustment pass rate is calculated by the following formula (7): Among them, N s N is the number of AVC qualified adjustments. z is the total number of AVC adjustments; All the information stored includes the information related to the primary frequency regulation index. The power contribution E of the primary frequency regulation is calculated by the following formula (8): g , HAVE BEEN g =∫(P j -P k )dt (8) Among them, P j is the real-time power during a frequency modulation process, P k is the initial power of a frequency modulation, ∫ represents the integral of time t, which is used to calculate the accumulated power in the entire frequency modulation process.

Images