Distributed energy storage multi-scene aggregation management and control system and method

Abstract

The invention discloses a distributed energy storage multi-scene aggregation management and control system and method, and relates to the technical field of multi-scene aggregation management and control, and the method comprises the steps: S10, analyzing the adaption condition of each energy storage device and a target energy storage power station; s20, performing real-time regulation and control on the operation data of each operation device installed in the target energy storage power station; s30, adaptively outputting alarm information of the target energy storage power station; and S40, performing operation and maintenance management on the target energy storage power station. The energy storage devices are preliminarily screened through the application scene of the target energy storage power station, remote operation control over the energy storage devices is achieved, it is guaranteed that the selected target energy storage device can be suitable for the application scene of the target energy storage power station, meanwhile, the power supply requirement of the target energy storage power station can be met, and the energy storage efficiency is improved. Aggregation management and control of the energy storage device are realized; and the aggregation management and control condition and the alarm information of each energy storage device are displayed through a map, so that operation and maintenance personnel can conveniently carry out operation and maintenance management on the target energy storage power station.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-scenario aggregate control and management, and specifically to a distributed energy storage multi-scenario aggregate control and management system and method. Background Art

[0002] Distributed energy storage multi-scenario aggregation refers to the process of unified and coordinated control of energy storage devices dispersed in different locations of the power system through communication networks and control technologies to achieve the storage, regulation and flexible distribution of electric energy. This aggregation method can play an important role in multiple scenarios, including peak shaving, improving power supply reliability, frequency regulation and promoting renewable energy consumption.

[0003] The joint operation of distributed energy storage systems and distributed power sources can not only improve the economic efficiency of grid operation, but also smooth out fluctuations in renewable energy and track planned output, thereby achieving the goal of promoting the consumption of renewable energy.

[0004] The current distributed energy storage system is widely distributed and has relatively dispersed resources. For a single distributed energy storage system, it has the characteristics of small charging and discharging power, limited capacity, and "each operating on its own". The current energy storage devices cannot effectively coordinate with each other, which reduces the flexible adjustment capability of multi-scenario energy storage. In addition, when multiple distributed energy storage systems are aggregated and controlled, it is currently impossible to accurately select the energy storage system for aggregate control, and it is impossible to quickly and accurately analyze the fault conditions of each distributed energy storage system. Summary of the invention

[0005] The purpose of the present invention is to provide a distributed energy storage multi-scenario aggregation management and control system and method to solve the problems raised in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solution: a distributed energy storage multi-scenario aggregation control method, the method comprising: S10: monitor and analyze the real-time operation data and real-time energy data of each energy storage device distributed in different locations of the power system, and analyze the adaptation of each energy storage device to the target energy storage power station in combination with the power supply plan curve of the target energy storage power station and the application scenario of the target energy storage power station; S20: Selecting a target energy storage device of the target energy storage power station, connecting the selected target energy storage device to the target energy storage power station, and performing real-time control on the operating data of each operating device installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station; S30: Analyze the real-time power supply situation of the target energy storage power station based on the control result, and adaptively output alarm information of the target energy storage power station based on the analysis result; S40: The operation and maintenance manager performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set.

[0007] Further, the S10 includes: S101: Monitor the real-time operation data and real-time energy data of each energy storage device dispersedly arranged at different locations of the power system. The operation data includes the active power and operation status value of the energy storage device. The operation status value is 0 or 1. When the energy storage device is in a standby state or a discharging state, the operation status value of the energy storage device is 0. When the energy storage device is in a charging state, the operation status value of the energy storage device is 1. The energy data includes the load, energy conversion efficiency and discharge power value of the energy storage device. S102: Preliminary screening of energy storage devices according to the application scenario of the target energy storage power station. The specific screening method is: determine whether the performance characteristics of the energy storage device can meet the requirements of the application scenario of the target energy storage power station for the energy storage device. If so, the corresponding energy storage device will be retained; if not, the corresponding energy storage device will be eliminated. The performance characteristics include the energy storage capacity, response rate, energy storage efficiency, output power, flexibility and reliability of the energy storage device. Preliminary screening of energy storage devices according to the application scenario of the target energy storage power station is conducive to multi-scenario control of energy storage devices, rather than limiting a single energy storage device to a specific application scenario. S103: For each energy storage device retained after preliminary screening, the energy storage device is 1 ,t 2 ] to collect historical operation data and historical energy data, where 0≤t 1 <t 2 ≤24, according to the average value calculation method, the energy storage devices retained in the preliminary screening are selected in the selected time period [t 1 ,t 2 ] is determined by the average operation data set M and the average energy data set N within the range; M={(f 111 ,f 211 ),(f 122 ,f 222 ),…,(f 1jp ,f 2jp )}, where j = 1, 2, ..., n, indicating that the operation data and energy data are sorted in chronological order in [t 1 ,t 2 ] time period, n represents the total number of numbers, p = 1, 2, ..., q represents the number of each energy storage device that is initially screened and retained, q represents the total number of energy storage devices that are screened and retained, and f 1jprepresents the average active power value of the energy storage device p at the acquisition time point numbered j, f 2jp represents the average operating state value of the energy storage device p at the collection time point numbered j; N={(g 111 ,g 211 ,g 311 ),(g 122 ,g 222 ,g 322 ),…,(g 1jp ,g 2jp ,g 3jp )}, where g 1jp represents the average load of the energy storage device p at the collection time point numbered j, g 2jp represents the average energy conversion efficiency of the energy storage device p at the acquisition time point numbered j, g 3jp represents the average discharge capacity value of the energy storage device p at the collection time point numbered j; S104: According to the target energy storage power station, the target energy storage power station is in the selected time period [t 1 ,t 2 ], for the target energy storage power station in [t 1 +(j-1)*d,t 1 +j*d] power supply to the grid during the time period R j-1→j Calculate and based on the calculation results, j-1→j The maximum value maxR is determined, where d represents the collection interval of operation data and energy data; For all f from j=1 to j=n 1jp *d*f 2jp Perform the summation to get f´ p , for f´ p With 1-g 2jp The product between them is calculated to obtain the energy storage device p in the selected time period [t 1 ,t 2 The theoretical total power supply G p ; For all g from j=1 to j=n 3jp *(1-g 2jp ) is summed to obtain the energy storage device p in the selected time period [t 1 ,t 2 ] within the theoretical discharge capacity value S p ; For all g from j=1 to j=n 1jp The summation is performed to obtain g´ p , for S p With g´ p The difference betweenp Calculate if W p =0, it means that the energy storage device p is in the selected time period [t 1 ,t 2 ] can meet the load power supply demand. If W p <0, it means that the energy storage device p is in the selected time period [t 1 ,t 2 ] cannot meet the load power supply demand; When W p =0, for G p -S p The ratio between the energy storage device p and the target energy storage power station is calculated to obtain the adaptability U p =0; When W p When <0, the adaptability U between the energy storage device p and the target energy storage power station is obtained. p =0.

[0008] Further, the S20 includes: S201: Compare the adaptability U of the energy storage device p to the target energy storage power station in descending order. p Sorting is performed to obtain array A, and the first r items of array A are summed to obtain H. r , if H r ≥1 and H r-1 <1, it means that the energy storage device corresponding to the first r fitness values ​​of array A is the target energy storage device of the target energy storage power station; S202: Connecting the target energy storage device to the target energy storage power station, collecting real-time operating data of each battery management system and each energy storage converter installed in the target energy storage power station, where the operating data of the battery management system includes voltage, temperature and state of charge value, and the operating data of the energy storage converter is power limit parameter; S203: Obtain the target energy storage power station at [t 1 +(j-1)*d,t 1 +j*d] power supply to the grid during the time period R j-1→j , randomly select an energy storage converter K, when R j-1→j > 0, the state of charge value V of the battery management system U matching the energy storage converter K U To obtain, if V U >0.3, then the energy storage converter K is [t 1 +(j-1)*d,t 1 +j*d] time period to control the battery corresponding to the battery management system U to be in a discharging state. If V U ≤0.3, then the energy storage converter K is [t 1 +(j-1)*d,t1 +j*d] period to control the battery corresponding to the battery management system U to be in a charging state; when R j-1→j =0, the energy storage converter K is [t 1 +(j-1)*d,t 1 +j*d] time period to control the battery corresponding to the battery management system U to be in a charging state; When 0.8<V U ≤1, the energy storage converter K controls the battery corresponding to the battery management system U at [t 1 +(j-1)*d,t 1 +j*d] time period = min(z,Z*l); At this time, the energy storage converter K sends a discharge instruction and a power limit parameter min(z, Z*l) to the battery management system U. The discharge power of the battery corresponding to the battery management system U is adjusted to min(z, Z*l) and the charging power is adjusted to 0. The energy storage converter K is at t 1 The electric energy conversion rate at time +j*d is regulated to min(z,Z*l)*η; Where z represents the rated power of the battery corresponding to the battery management system U, l represents the battery management system U at t 1 +(j-1)*d, and l=△δ / △β, △δ represents the temperature coefficient of the battery corresponding to the battery management system U at t 1 +(j-1)*d and the voltage value of the battery corresponding to the battery management system U at t 1 +(j-2)*d, △β represents the voltage value of the battery corresponding to the battery management system U at t 1 +(j-1)*d and the temperature value of the battery corresponding to the battery management system U at t 1 +(j-2)*the difference between the temperature values ​​at time d, where z represents the maximum charge and discharge power of the battery corresponding to the battery management system U; When 0.3<V U ≤0.8, the energy storage converter K controls the battery corresponding to the battery management system U at [t 1 +(j-1)*d,t 1 +j*d] time period charging and discharging power = X; At this time, the energy storage converter K sends the charge and discharge instructions and the power limit parameter X to the battery management system U. The charge and discharge power of the battery corresponding to the battery management system U is adjusted to X. The energy storage converter K is at t 1 The electric energy conversion rate at time +j*d is regulated to X*η; Among them, X represents the power grid at t 1 +(j-1)*The charge and discharge power value determined by the frequency modulation instruction issued at time d; Traverse all energy storage converters and regulate the operating data of each battery management system and the operating data of each energy storage converter.

[0009] Further, the S30 includes: After adjusting the operating data of each operating device installed in the target energy storage power station, the energy storage converter K installed in the target energy storage power station is 1 +j*d time electric energy conversion rate E j Conduct collection; If E j =X*ηorE j =min(z,Z*l)*η, it means that the energy storage converter K, the battery management system U matched with the energy storage converter K, and the battery corresponding to the battery management system U are operating normally, and there is no output of target energy storage power station alarm information at this time, where η represents the conversion efficiency of the energy storage converter; If E j <X*ηorE j <min(z,Z*l)*η, it means that the battery corresponding to the energy storage converter K or the battery management system U is operating abnormally. At this time, the alarm information of the target energy storage power station is output. The alarm information is: at t 1 +j*d, the energy storage converter K or the battery corresponding to the battery management system U installed in the target energy storage power station fails, and the energy storage converter K fails at t 1 The electric energy conversion rate at the moment +j*d is E j ; Traverse all energy storage converters and output the alarm information set of the target energy storage power station.

[0010] Further, the S40 includes: The location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station are marked on the three-dimensional map, and the output alarm information set of the target energy storage power station is displayed at the marked location of the target energy storage power station. The operation and maintenance management personnel perform operation and maintenance management of the target energy storage power station based on the location information of the target energy storage power station, the connection status of the target energy storage device and the target energy storage power station, and the alarm information set displayed on the three-dimensional map.

[0011] A distributed energy storage multi-scenario aggregation management and control system, the system comprising an adaptation analysis module, an operation data control module, an alarm information output module and an operation and maintenance management and control module; The adaptation analysis module is used to analyze the adaptation of each energy storage device and the target energy storage power station; The operation data control module is used to perform real-time control on the operation data of each operation equipment installed in the target energy storage power station; The alarm information output module is used to adaptively output the alarm information of the target energy storage power station according to the real-time power supply situation of the target energy storage power station; The operation and maintenance control module is used to perform operation and maintenance management on the target energy storage power station; Further, the adaptation analysis module includes a monitoring unit, an energy storage device screening unit, an analysis unit and an adaptation analysis unit; The monitoring unit monitors the real-time operation data and real-time energy data of each energy storage device dispersedly arranged at different locations of the power system; The energy storage device screening unit preliminarily screens the energy storage devices according to the application scenario of the target energy storage power station; The analysis unit collects historical operation data and historical energy data of each energy storage device that is initially screened and retained within a selected time period, and determines an average operation data set and an average energy data set of each energy storage device that is initially screened and retained within the selected time period according to an average value calculation method; The adaptation analysis unit calculates the power supply of the target energy storage power station in each collection time period according to the power supply plan curve of the target energy storage power station in the selected time period, and predicts the adaptability between each energy storage device and the target energy storage power station in combination with the theoretical discharge power value of each energy storage device in the selected time period and the theoretical total power supply of each energy storage device in the selected time period.

[0012] Further, the operation data control module includes a target energy storage device determination unit, an operation data acquisition unit and an operation data control unit; The target energy storage device determination unit determines the target energy storage device of the target energy storage power station according to the compatibility between each energy storage device and the target energy storage power station; The operation data acquisition unit connects the target energy storage device with the target energy storage power station, and collects real-time operation data of each battery management system and each energy storage converter installed in the target energy storage power station; The operation data control unit performs real-time control on the operation data of each operation equipment installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station.

[0013] Further, the alarm information output module includes an electric energy conversion rate acquisition unit, a fault analysis unit and an alarm information output unit; The electric energy conversion rate acquisition unit acquires the real-time electric energy conversion rate of each energy storage converter installed in the target energy storage power station after regulating the operation data of each operation equipment installed in the target energy storage power station; The fault analysis unit analyzes the fault conditions of each operating equipment installed in the target energy storage power station based on the constructed judgment model; The alarm information output unit adaptively outputs the alarm information of the target energy storage power station according to the analysis result of the fault analysis unit.

[0014] Furthermore, the operation and maintenance control module includes an alarm monitoring unit and an operation and maintenance management unit; The alarm monitoring unit marks the location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station in the three-dimensional map, and displays the output alarm information set of the target energy storage power station at the marked location of the target energy storage power station; The operation and maintenance management unit performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the three-dimensional map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention preliminarily screens the energy storage devices dispersed in different locations of the power system through the application scenarios of the target energy storage power station, realizes the remote operation control of the energy storage devices, and realizes the accurate selection of the target energy storage devices according to the operation data and energy data of each energy storage device and the power supply plan of the target energy storage power station, so as to ensure that the selected target energy storage device can be suitable for the application scenarios of the target energy storage power station and can also meet the power supply needs of the target energy storage power station, thereby realizing the aggregated control of the energy storage devices.

[0016] 2. The present invention analyzes whether it is necessary to regulate the operating data of each operating device installed in the target energy storage power station based on the operating data of each operating device installed in the target energy storage power station. The regulation process fully considers the power supply demand of the target energy storage power station and the operating safety of each operating device.

[0017] 3. The present invention analyzes the fault conditions of various operating equipment installed in the target energy storage power station through the electric energy conversion rate of the energy storage inverter. Compared with the comprehensive analysis of the fault conditions of the operating equipment through multi-dimensional data, it simplifies the analysis process while ensuring the accuracy of the analysis, and displays the aggregated control status and alarm information of each energy storage device through a map, which is convenient for operation and maintenance personnel to perform operation and maintenance management of the target energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the workflow of the distributed energy storage multi-scenario aggregation control method of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, the present invention provides a distributed energy storage multi-scenario aggregation control system and method technical solution, a distributed energy storage multi-scenario aggregation control method, the method includes: S10: monitor and analyze the real-time operation data and real-time energy data of each energy storage device distributed in different locations of the power system, and analyze the adaptation of each energy storage device to the target energy storage power station in combination with the power supply plan curve of the target energy storage power station and the application scenario of the target energy storage power station; S10 includes: S101: monitoring the real-time operation data and real-time energy data of each energy storage device dispersedly arranged at different locations of the power system. The operation data of the energy storage device includes the active power and operation status value of the energy storage device. The operation status value is 0 or 1. When the energy storage device is in a standby state or a discharging state, the operation status value of the energy storage device is 0. When the energy storage device is in a charging state, the operation status value of the energy storage device is 1. The energy data includes the load of the energy storage device (the load of the energy storage device refers to the energy demand borne by the energy storage device during operation), the energy conversion efficiency (energy conversion efficiency refers to the energy loss rate of the energy storage device during the charging and discharging process) and the discharge power value. S102: Preliminary screening of energy storage devices is performed based on the application scenarios of the target energy storage power station, which include energy storage on the power generation side, energy storage on the user side, and energy storage on the power transmission and distribution side. The specific screening method is as follows: determine whether the performance characteristics of the energy storage device can meet the requirements of the application scenarios of the target energy storage power station for the energy storage device. If so, the corresponding energy storage device is retained; if not, the corresponding energy storage device is eliminated. The performance characteristics include the energy storage capacity of the energy storage device, the response rate (the response rate refers to the ability of the energy storage device to quickly adapt to power changes), the energy storage efficiency (the energy storage efficiency refers to the energy conversion efficiency of the energy storage device during the charging and discharging process), the output power (the output power refers to the maximum power that the energy storage device can output within a specific time), flexibility (flexibility refers to the ability of the energy storage device to quickly adjust the storage and release of energy according to demand), and reliability (reliability refers to the ability of the energy storage device to operate stably, safely, and efficiently under various working conditions); S103: For each energy storage device retained after preliminary screening, the energy storage device is 1 ,t 2] to collect historical operation data and historical energy data, where 0≤t 1 <t 2 ≤24, unit: hour, according to the average value calculation method, the energy storage devices retained in the preliminary screening are 1 ,t 2 ] is determined by the average operation data set M and the average energy data set N within the range; M={(f 111 ,f 211 ),(f 122 ,f 222 ),…,(f 1jp ,f 2jp )}, where j = 1, 2, ..., n, indicating that the operation data and energy data are sorted in chronological order in [t 1 ,t 2 ] time period, n represents the total number of numbers, p = 1, 2, ..., q represents the number of each energy storage device that is initially screened and retained, q represents the total number of energy storage devices that are screened and retained, and f 1jp represents the average active power value of the energy storage device p at the acquisition time point numbered j, f 2jp represents the average operating state value of the energy storage device p at the collection time point numbered j; N={(g 111 ,g 211 ,g 311 ),(g 122 ,g 222 ,g 322 ),…,(g 1jp ,g 2jp ,g 3jp )}, where g 1jp represents the average load of the energy storage device p at the collection time point numbered j, g 2jp represents the average energy conversion efficiency of the energy storage device p at the acquisition time point numbered j, g 3jp represents the average discharge capacity value of the energy storage device p at the collection time point numbered j; S104: According to the target energy storage power station, the target energy storage power station is in the selected time period [t 1 ,t 2 ], for the target energy storage power station in [t 1 +(j-1)*d,t 1 +j*d] power supply to the grid during the time period R j-1→j Calculate and based on the calculation results, j-1→j The maximum value maxR is determined, where d represents the collection interval of operation data and energy data; For all f from j=1 to j=n 1jp *d*f 2jp Perform the summation to get f´ p , for f´ p With 1-g 2jp The product between them is calculated to obtain the energy storage device p in the selected time period [t 1 ,t 2 The theoretical total power supply G p ; For all g from j=1 to j=n 3jp *(1-g 2jp ) is summed to obtain the energy storage device p in the selected time period [t 1 ,t 2 ] within the theoretical discharge capacity value S p ; For all g from j=1 to j=n 1jp The summation is performed to obtain g´ p , for S p With g´ p The difference between p Calculate if W p =0, it means that the energy storage device p is in the selected time period [t 1 ,t 2 ] can meet the load power supply demand. If W p <0, it means that the energy storage device p is in the selected time period [t 1 ,t 2 ] cannot meet the load power supply demand; When W p =0, for G p -S p The ratio between the energy storage device p and the target energy storage power station is calculated to obtain the adaptability U p =0; When W p When <0, the adaptability U between the energy storage device p and the target energy storage power station is obtained. p =0; S20: Selecting a target energy storage device of the target energy storage power station, connecting the selected target energy storage device to the target energy storage power station, and performing real-time control on the operating data of each operating device installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station; The S20 includes: S201: Compare the adaptability U of the energy storage device p to the target energy storage power station in descending order. p Sorting is performed to obtain array A, and the first r items of array A are summed to obtain H. r , if H r≥1 and H r-1 <1, it means that the energy storage device corresponding to the first r fitness values ​​of array A is the target energy storage device of the target energy storage power station; S202: Connect the target energy storage device to the target energy storage power station, and collect real-time operating data of each battery management system and each energy storage converter installed in the target energy storage power station. The operating data of the battery management system includes voltage, temperature and state of charge value (the state of charge refers to the ratio of the current remaining capacity of the battery to its fully charged state capacity), and the operating data of the energy storage converter is a power limit parameter; S203: Obtain the target energy storage power station at [t 1 +(j-1)*d,t 1 +j*d] power supply to the grid during the time period R j-1→j , randomly select an energy storage converter K, when R j-1→j > 0, the state of charge value V of the battery management system U matching the energy storage converter K U If the energy storage converter K can interact with the battery management system U, the battery management system U is said to match the energy storage converter K. U >0.3, then the energy storage converter K is [t 1 +(j-1)*d,t 1 +j*d] time period to control the battery corresponding to the battery management system U to be in a discharging state. If V U ≤0.3, then the energy storage converter K is [t 1 +(j-1)*d,t 1 +j*d] period to control the battery corresponding to the battery management system U to be in a charging state; when R j-1→j =0, the energy storage converter K is [t 1 +(j-1)*d,t 1 +j*d] time period to control the battery corresponding to the battery management system U to be in a charging state; When 0.8<V U ≤1, the energy storage converter K controls the battery corresponding to the battery management system U at [t 1 +(j-1)*d,t 1 +j*d] time period = min(z,Z*l); At this time, the energy storage converter K sends a discharge instruction and a power limit parameter min(z, Z*l) to the battery management system U. The discharge power of the battery corresponding to the battery management system U is adjusted to min(z, Z*l) and the charging power is adjusted to 0. The energy storage converter K is at t 1 The electric energy conversion rate at time +j*d is regulated to min(z,Z*l)*η; Where z represents the rated power of the battery corresponding to the battery management system U, l represents the battery management system U at t 1 +(j-1)*d, and l=△δ / △β, △δ represents the temperature coefficient of the battery corresponding to the battery management system U at t 1 +(j-1)*d and the voltage value of the battery corresponding to the battery management system U at t 1 +(j-2)*d, △β represents the voltage value of the battery corresponding to the battery management system U at t 1 +(j-1)*d and the temperature value of the battery corresponding to the battery management system U at t 1 +(j-2)*the difference between the temperature values ​​at time d, z represents the maximum charge and discharge power of the battery corresponding to the battery management system U, and min represents the minimum value; When 0.3<V U ≤0.8, the energy storage converter K controls the battery corresponding to the battery management system U at [t 1 +(j-1)*d,t 1 +j*d] time period charging and discharging power = X; At this time, the energy storage converter K sends the charge and discharge instructions and the power limit parameter X to the battery management system U. The charge and discharge power of the battery corresponding to the battery management system U is adjusted to X. The energy storage converter K is at t 1 The electric energy conversion rate at time +j*d is regulated to X*η; Among them, X represents the power grid at t 1 +(j-1)*The charge and discharge power value determined by the frequency modulation instruction issued at time d; Traverse all energy storage converters and regulate the operating data of each battery management system and the operating data of each energy storage converter.

[0021] S30: Analyze the real-time power supply situation of the target energy storage power station based on the control result, and adaptively output alarm information of the target energy storage power station based on the analysis result; S30 includes: After adjusting the operating data of each operating device installed in the target energy storage power station, the energy storage converter K installed in the target energy storage power station is 1 +j*d time electric energy conversion rate E j Conduct collection; If E j =X*ηorE j =min(z,Z*l)*η, it means that the energy storage converter K, the battery management system U matched with the energy storage converter K, and the battery corresponding to the battery management system U are operating normally, and there is no output of target energy storage power station alarm information at this time, where η represents the conversion efficiency of the energy storage converter; If E j <X*ηorE j <min(z,Z*l)*η, it means that the battery corresponding to the energy storage converter K or the battery management system U is operating abnormally. At this time, the alarm information of the target energy storage power station is output. The alarm information is: at t 1 +j*d, the energy storage converter K or the battery corresponding to the battery management system U installed in the target energy storage power station fails, and the energy storage converter K fails at t 1 The electric energy conversion rate at the moment +j*d is E j ; Traverse all energy storage converters and output the alarm information set of the target energy storage power station; S40: The operation and maintenance manager performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set; S40 includes: The location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station are marked on the three-dimensional map, and the output alarm information set of the target energy storage power station is displayed at the marked location of the target energy storage power station. The operation and maintenance management personnel perform operation and maintenance management of the target energy storage power station based on the location information of the target energy storage power station, the connection status of the target energy storage device and the target energy storage power station, and the alarm information set displayed on the three-dimensional map.

[0022] Distributed energy storage multi-scenario aggregation management and control system, the system includes adaptation analysis module, operation data control module, alarm information output module and operation and maintenance management module; The adaptation analysis module is used to analyze the adaptation of each energy storage device and the target energy storage power station; The adaptation analysis module includes a monitoring unit, an energy storage device screening unit, an analysis unit and an adaptation analysis unit; The monitoring unit monitors the real-time operation data and real-time energy data of each energy storage device distributed in different locations of the power system; The energy storage device screening unit performs preliminary screening of energy storage devices according to the application scenario of the target energy storage power station; The analysis unit collects historical operation data and historical energy data of each energy storage device that is initially screened and retained within a selected time period, and determines an average operation data set and an average energy data set of each energy storage device that is initially screened and retained within the selected time period according to an average value calculation method; The adaptation analysis unit calculates the power supply of the target energy storage power station in each collection time period according to the power supply plan curve of the target energy storage power station in the selected time period, and predicts the adaptability between each energy storage device and the target energy storage power station in combination with the theoretical discharge power value of each energy storage device in the selected time period and the theoretical total power supply of each energy storage device in the selected time period; The operation data control module is used to perform real-time control on the operation data of each operation equipment installed in the target energy storage power station; The operation data control module includes a target energy storage device determination unit, an operation data acquisition unit and an operation data control unit; The target energy storage device determination unit determines the target energy storage device of the target energy storage power station according to the compatibility between each energy storage device and the target energy storage power station; The operation data acquisition unit connects the target energy storage device with the target energy storage power station, and collects real-time operation data of each battery management system and each energy storage converter installed in the target energy storage power station; The operation data control unit performs real-time control on the operation data of each operation equipment installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station; The alarm information output module is used to adaptively output the alarm information of the target energy storage power station according to the real-time power supply situation of the target energy storage power station; The alarm information output module includes an electric energy conversion rate acquisition unit, a fault analysis unit and an alarm information output unit; After regulating the operation data of each operation equipment installed in the target energy storage power station, the power conversion rate acquisition unit acquires the real-time power conversion rate of each energy storage converter installed in the target energy storage power station; The fault analysis unit analyzes the fault conditions of each operating equipment installed in the target energy storage power station based on the constructed judgment model; The alarm information output unit adaptively outputs the alarm information of the target energy storage power station according to the analysis result of the fault analysis unit; The operation and maintenance control module is used to perform operation and maintenance management on the target energy storage power station; The operation and maintenance control module includes an alarm monitoring unit and an operation and maintenance management unit; The alarm monitoring unit marks the location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station in the three-dimensional map, and displays the output alarm information set of the target energy storage power station at the marked location of the target energy storage power station; The operation and maintenance management unit performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the three-dimensional map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set.

[0023] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A distributed energy storage multi-scenario aggregation control method, characterized by: The method comprises: S10: monitor and analyze the real-time operation data and real-time energy data of each energy storage device distributed in different locations of the power system, and analyze the adaptation of each energy storage device to the target energy storage power station in combination with the power supply plan curve of the target energy storage power station and the application scenario of the target energy storage power station; S20: Selecting a target energy storage device of the target energy storage power station, connecting the selected target energy storage device to the target energy storage power station, and performing real-time control on the operating data of each operating device installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station; S30: Analyze the real-time power supply situation of the target energy storage power station based on the control result, and adaptively output alarm information of the target energy storage power station based on the analysis result; S40: The operation and maintenance manager performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set.

2. The distributed energy storage multi-scenario aggregation management and control method according to claim 1 is characterized in that: The S10 includes: S101: monitoring the real-time operation data and real-time energy data of each energy storage device dispersedly arranged at different locations of the power system, wherein the operation data includes the active power and operation status value of the energy storage device, and the operation status value is 0 or 1; the energy data includes the load, energy conversion efficiency and discharge power value of the energy storage device; S102: Preliminary screening of energy storage devices according to the application scenario of the target energy storage power station. The specific screening method is: judging whether the performance characteristics of the energy storage device can meet the requirements of the application scenario of the target energy storage power station for the energy storage device. If so, the corresponding energy storage device is retained; if not, the corresponding energy storage device is eliminated. The performance characteristics include the energy storage capacity, response rate, energy storage efficiency, output power, flexibility and reliability of the energy storage device. S103: collecting historical operation data and historical energy data of each energy storage device that is initially screened and retained within the selected time period [t1, t2], where 0≤t1<t2≤24, and determining the average operation data set M and average energy data set N of each energy storage device that is initially screened and retained within the selected time period [t1, t2] according to the average value calculation method; M={(f 111 ,f 211 ),(f 122 ,f 222 ),…,(f 1jp ,f 2jp )}, where j=1,2,…,n, represents the numbering of the collection time points of the operation data and energy data in the time period [t1,t2] in chronological order, n represents the total number, p=1,2,…,q, represents the number of each energy storage device that is initially screened and retained, q represents the total number of energy storage devices that are screened and retained, and f 1jp represents the average active power value of the energy storage device p at the acquisition time point numbered j, f 2jp represents the average operating state value of the energy storage device p at the collection time point numbered j; N={(g 111 ,g 211 ,g 311 ),(g 122 ,g 222 ,g 322 ),…,(g 1jp ,g 2jp ,g 3jp )}, where g 1jp represents the average load of the energy storage device p at the collection time point numbered j, g 2jp represents the average energy conversion efficiency of the energy storage device p at the acquisition time point numbered j, g 3jp represents the average discharge capacity value of the energy storage device p at the collection time point numbered j; S104: According to the power supply plan curve of the target energy storage power station in the selected time period [t1, t2], the power supply R of the target energy storage power station to the grid in the time period [t1+(j-1)*d, t1+j*d] is calculated. j-1→j Calculate and based on the calculation results, j-1→j The maximum value maxR is determined, and the compatibility between each energy storage device that is initially screened and retained and the target energy storage power station is predicted by combining the average operation data set M and the average energy data set N.

3. The distributed energy storage multi-scenario aggregation management and control method according to claim 2 is characterized in that: The specific method of predicting the compatibility between each energy storage device initially screened and retained and the target energy storage power station in S104 is: For all f from j=1 to j=n 1jp *d*f 2jp Perform the summation to get f´ p , for f´ p With 1-g 2jp The product of the two is calculated to obtain the theoretical total power supply G of the energy storage device p in the selected time period [t1, t2]. p , d represents the collection interval of operation data and energy data; For all g from j=1 to j=n 3jp *(1-g 2jp ) is summed to obtain the theoretical discharge capacity value S of the energy storage device p in the selected time period [t1, t2]. p ; For all g from j=1 to j=n 1jp The summation is performed to obtain g´ p , for S p With g´ p The difference between p Calculate if W p =0, it means that the energy storage device p can meet the load power supply demand within the selected time period [t1, t2]. p <0, it means that the energy storage device p cannot meet the load power supply demand in the selected time period [t1, t2]; When W p =0, for G p -S p The ratio between the energy storage device p and the target energy storage power station is calculated to obtain the adaptability U p =0; When W p When <0, the adaptability U between the energy storage device p and the target energy storage power station is obtained. p =0.

4. The distributed energy storage multi-scenario aggregation management and control method according to claim 3 is characterized by: The S20 includes: S201: Compare the adaptability U of the energy storage device p to the target energy storage power station in descending order. p Sorting is performed to obtain array A, and the first r items of array A are summed to obtain H. r , if H r ≥1 and H r-1 <1, it means that the energy storage device corresponding to the first r fitness values ​​of array A is the target energy storage device of the target energy storage power station; S202: Connecting the target energy storage device to the target energy storage power station, collecting real-time operating data of each battery management system and each energy storage converter installed in the target energy storage power station, where the operating data of the battery management system includes voltage, temperature and state of charge value, and the operating data of the energy storage converter is power limit parameter; S203: Obtain the power supply R of the target energy storage power station to the power grid in the time period [t1+(j-1)*d, t1+j*d] j-1→j , randomly select an energy storage converter K, when R j-1→j > 0, the state of charge value V of the battery management system U matching the energy storage converter K U To obtain, if V U >0.3, the energy storage converter K controls the battery corresponding to the battery management system U to be in a discharging state during the time period [t1+(j-1)*d, t1+j*d]. If V U ≤0.3, the energy storage converter K controls the battery corresponding to the battery management system U to be in a charging state during the time period [t1+(j-1)*d, t1+j*d]; when R j-1→j =0, the energy storage converter K controls the battery corresponding to the battery management system U to be in a charging state during the time period [t1+(j-1)*d, t1+j*d]; When the battery corresponding to the battery management system U is in a discharging state, according to V U The operating data of each battery management system and each energy storage converter are regulated.

5. The distributed energy storage multi-scenario aggregation management and control method according to claim 4 is characterized in that: The specific method of S203 for regulating the operating data of each battery management system and the operating data of each energy storage converter is: When 0.8<V U When ≤1, the energy storage converter K controls the battery corresponding to the battery management system U to discharge power = min(z, Z*l) in the time period [t1+(j-1)*d, t1+j*d]; At this time, the energy storage converter K sends a discharge instruction and a power limit parameter min(z, Z*l) to the battery management system U. The discharge power of the battery corresponding to the battery management system U is adjusted to min(z, Z*l), and the charging power is adjusted to 0. The energy conversion rate of the energy storage converter K at time t1+j*d is adjusted to min(z, Z*l)*η; Wherein, z represents the rated power of the battery corresponding to the battery management system U, l represents the temperature coefficient of the battery management system U at the time t1+(j-1)*d and l=△δ / △β, △δ represents the difference between the voltage value of the battery corresponding to the battery management system U at the time t1+(j-1)*d and the voltage value of the battery corresponding to the battery management system U at the time t1+(j-2)*d, △β represents the difference between the temperature value of the battery corresponding to the battery management system U at the time t1+(j-1)*d and the temperature value of the battery corresponding to the battery management system U at the time t1+(j-2)*d, and z represents the maximum charge and discharge power of the battery corresponding to the battery management system U; When 0.3<V U When ≤0.8, the energy storage converter K controls the charging power of the battery corresponding to the battery management system U in the time period [t1+(j-1)*d, t1+j*d] = X; At this time, the energy storage converter K sends charging and discharging instructions and power limit parameter X to the battery management system U. The charging and discharging power of the battery corresponding to the battery management system U is adjusted to X, and the power conversion rate of the energy storage converter K at time t1+j*d is adjusted to X*η; Wherein, X represents the charging and discharging power value determined according to the frequency modulation instruction issued by the power grid at time t1+(j-1)*d; Traverse all energy storage converters and regulate the operating data of each battery management system and the operating data of each energy storage converter.

6. The distributed energy storage multi-scenario aggregation management and control method according to claim 5 is characterized by: The S30 includes: After adjusting the operating data of each operating device installed in the target energy storage power station, the energy conversion rate E of the energy storage converter K installed in the target energy storage power station at the time t1+j*d is j Conduct collection; If E j =X*ηorE j =min(z,Z*l)*η, it means that the energy storage converter K, the battery management system U matched with the energy storage converter K, and the battery corresponding to the battery management system U are operating normally, and there is no output of target energy storage power station alarm information at this time, where η represents the conversion efficiency of the energy storage converter; If E j <X*ηorE j <min(z,Z*l)*η, it means that the battery corresponding to the energy storage converter K or the battery management system U is operating abnormally. At this time, the alarm information of the target energy storage power station is output. The alarm information is: at time t1+j*d, the battery corresponding to the energy storage converter K or the battery management system U installed in the target energy storage power station fails, and the energy conversion rate of the energy storage converter K at time t1+j*d is E j ; Traverse all energy storage converters and output the alarm information set of the target energy storage power station.

7. The distributed energy storage multi-scenario aggregation management and control method according to claim 6 is characterized by: The S40 includes: The location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station are marked on the three-dimensional map, and the output alarm information set of the target energy storage power station is displayed at the marked location of the target energy storage power station. The operation and maintenance management personnel perform operation and maintenance management of the target energy storage power station based on the location information of the target energy storage power station, the connection status of the target energy storage device and the target energy storage power station, and the alarm information set displayed on the three-dimensional map.

8. A distributed energy storage multi-scenario aggregated control system applied to the distributed energy storage multi-scenario aggregated control method according to any one of claims 1 to 7, characterized in that: The system includes an adaptation analysis module, an operation data control module, an alarm information output module and an operation and maintenance control module; The adaptation analysis module is used to analyze the adaptation of each energy storage device and the target energy storage power station; The operation data control module is used to perform real-time control on the operation data of each operation equipment installed in the target energy storage power station; The alarm information output module is used to adaptively output the alarm information of the target energy storage power station according to the real-time power supply situation of the target energy storage power station; The operation and maintenance control module is used to perform operation and maintenance management on the target energy storage power station.

9. The distributed energy storage multi-scenario aggregation management and control system according to claim 8 is characterized in that: The adaptation analysis module includes a monitoring unit, an energy storage device screening unit, an analysis unit and an adaptation analysis unit; The monitoring unit monitors the real-time operation data and real-time energy data of each energy storage device dispersedly arranged at different locations of the power system; The energy storage device screening unit preliminarily screens the energy storage devices according to the application scenario of the target energy storage power station; The analysis unit collects historical operation data and historical energy data of each energy storage device that is initially screened and retained within a selected time period, and determines an average operation data set and an average energy data set of each energy storage device that is initially screened and retained within the selected time period according to an average value calculation method; The adaptation analysis unit calculates the power supply of the target energy storage power station in each collection time period according to the power supply plan curve of the target energy storage power station in the selected time period, and predicts the adaptability between each energy storage device and the target energy storage power station in combination with the theoretical discharge power value of each energy storage device in the selected time period and the theoretical total power supply of each energy storage device in the selected time period; The operation data control module includes a target energy storage device determination unit, an operation data acquisition unit and an operation data control unit; The target energy storage device determination unit determines the target energy storage device of the target energy storage power station according to the compatibility between each energy storage device and the target energy storage power station; The operation data acquisition unit connects the target energy storage device with the target energy storage power station, and collects real-time operation data of each battery management system and each energy storage converter installed in the target energy storage power station; The operation data control unit performs real-time control on the operation data of each operation equipment installed in the target energy storage power station according to the power supply plan curve of the target energy storage power station.

10. The distributed energy storage multi-scenario aggregation management and control system according to claim 9 is characterized in that: The alarm information output module includes an electric energy conversion rate acquisition unit, a fault analysis unit and an alarm information output unit; The electric energy conversion rate acquisition unit acquires the real-time electric energy conversion rate of each energy storage converter installed in the target energy storage power station after regulating the operation data of each operation equipment installed in the target energy storage power station; The fault analysis unit analyzes the fault conditions of each operating equipment installed in the target energy storage power station based on the constructed judgment model; The alarm information output unit adaptively outputs the alarm information of the target energy storage power station according to the analysis result of the fault analysis unit; The operation and maintenance control module includes an alarm monitoring unit and an operation and maintenance management unit; The alarm monitoring unit marks the location of the target energy storage power station and the connection status of each target energy storage device and the target energy storage power station in the three-dimensional map, and displays the output alarm information set of the target energy storage power station at the marked location of the target energy storage power station; The operation and maintenance management unit performs operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station displayed on the three-dimensional map, the connection status between the target energy storage device and the target energy storage power station, and the alarm information set.

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