Distributed Energy Storage Multi-Scenario Aggregation Control System and Method

Abstract

The present invention discloses a distributed energy storage multi-scenario aggregation control system and method, which relates to the technical field of multi-scenario aggregation control. The present invention includes: S10: analyzing the adaptation situation of each energy storage device to the target energy storage power station; S20: performing real-time regulation on the operation data of each operating device installed in the target energy storage power station; S30: adaptively outputting the alarm information of the target energy storage power station; S40: performing operation and maintenance management on the target energy storage power station. The present invention preliminarily screens each energy storage device through the application scenario of the target energy storage power station, realizes the remote operation control of the energy storage device, and ensures that the selected target energy storage device can be applicable to the application scenario of the target energy storage power station while also meeting the power supply requirements of the target energy storage power station, realizing the aggregation control of the energy storage device; the aggregation control situation and alarm information of each energy storage device are displayed through a map, facilitating the operation and maintenance personnel to perform 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 aggregation control, and specifically to a distributed energy storage multi-scenario aggregation control system and method. Background Art

[0002] ‌Distributed energy storage multi-scenario aggregation‌ refers to the process of uniformly coordinating and controlling energy storage devices dispersed at different positions in the power system through communication networks and control technologies to achieve the storage, regulation, and flexible allocation of electric energy. This aggregation method can play an important role in multiple scenarios, including peak shaving and valley filling, improving power supply reliability, frequency modulation, and promoting the consumption of renewable energy, etc.

[0003] The combined operation of a distributed energy storage system and distributed power sources can not only improve the economic operation of the power grid, but also smooth the fluctuations of new energy and track the planned output, so as to achieve the purpose of promoting the consumption of new energy.

[0004] Currently, distributed energy storage systems are widely distributed and resources are relatively scattered. For a single distributed energy storage system, it has characteristics such as small charge and discharge power, limited capacity, and "operating independently". Currently, there is no effective coordination between energy storage devices, which reduces the flexible regulation ability of multi-scenario energy storage. In addition, when currently aggregating and controlling multiple distributed energy storage systems, it is impossible to accurately select the energy storage systems for aggregation 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 control system and method to solve the problems raised in the prior art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A distributed energy storage multi-scenario aggregation control method, the method includes:

[0007] S10: Monitor and analyze the real-time operation data and real-time energy data of each energy storage device dispersed at different positions in 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;

[0008] S20: Select the target energy storage device of the target energy storage power station, connect the selected target energy storage device to the target energy storage power station, and perform real-time regulation on the operation 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;

[0009] S30: Analyze the real-time power supply situation of the target energy storage power station based on the regulation result, and adaptively output an alarm message for the target energy storage power station based on the analysis result;

[0010] S40: The operation and maintenance management personnel perform operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station shown on the map, the connection between the target energy storage device and the target energy storage power station, and the alarm information set.

[0011] Further, the S10 includes:

[0012] S101: Monitor the real-time operation data and real-time energy data of each energy storage device scattered at different positions in 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 the standby state or discharging state, the operation status value of the energy storage device is 0. When the energy storage device is in the 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.

[0013] S102: According to the application scenario of the target energy storage power station, conduct a preliminary screening of the energy storage devices. 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 it meets the requirements, retain the corresponding energy storage device. If it does not meet the requirements, eliminate the corresponding energy storage device. The performance characteristics include the energy storage capacity, response rate, energy storage efficiency, output power, flexibility, and reliability of the energy storage device. Conducting a preliminary screening of the energy storage devices through the application scenario of the target energy storage power station is conducive to multi-scenario control of the energy storage devices, rather than limiting a single energy storage device to a specific application scenario.

[0014] S103: Collect the historical operation data and historical energy data of each energy storage device retained after the preliminary screening within the selected time period [t1, t2], where 0 ≤ t1 < t2 ≤ 24. According to the calculation method of the average value, determine the average operation data set M and the average energy data set N of each energy storage device retained after the preliminary screening within the selected time period [t1, t2].

[0015] M = {(f 111 , f 211 ), (f 122 , f 222 ), …, (f 1jp , f 2jp )}, where j = 1, 2, …, n, indicating the numbering process of the acquisition time points of the operation data and energy data within the time period [t1, t2] in chronological order. n represents the total number of numbers. p = 1, 2, …, q, indicating the numbers corresponding to each energy storage device retained after the preliminary screening. q represents the total number of energy storage devices retained after the screening. f 1jp represents the average active power value of the energy storage device p corresponding to the acquisition time point numbered j, and f 2jpDenote the average operating state value of the energy storage device p corresponding to the acquisition time point numbered j;

[0016] N = {(g 111 , g 211 , g 311 ), (g 122 , g 222 , g 322 ), …, (g 1jp , g 2jp , g 3jp )}, where g 1jp denotes the average load of the energy storage device p corresponding to the acquisition time point numbered j, g 2jp denotes the average energy conversion efficiency of the energy storage device p corresponding to the acquisition time point numbered j, g 3jp denotes the average discharge power value of the energy storage device p corresponding to the acquisition time point numbered j;

[0017] S104: According to the power supply plan curve of the target energy storage power station within the selected time period [t1, t2], calculate the power supply amount R j-1→j of the target energy storage power station to the power grid within the time period [t1 + (j - 1)*d, t1 + j*d]. Based on the calculation result, determine the maximum value maxR of R j-1→j , where d represents the acquisition interval time of the operation data and the energy data;

[0018] Sum all f 1jp *d*f 2jp from j = 1 to j = n to obtain f´ p . Calculate the product between f´ p and 1 - g 2jp to obtain the theoretical total power supply amount G p of the energy storage device p within the selected time period [t1, t2];

[0019] Sum all g 3jp *(1 - g 2jp ) from j = 1 to j = n to obtain the theoretical discharge power value S p of the energy storage device p within the selected time period [t1, t2];

[0020] Sum all g 1jp from j = 1 to j = n to obtain g´ p . Calculate the difference W p between S p and g´ p . 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]. If Wp If < 0, it means that the energy storage device p cannot meet the load power supply demand within the selected time period [t1, t2];

[0021] When W p = 0, calculate the ratio between G p - S p and maxR * n to obtain the matching degree U of the energy storage device p and the target energy storage power station p = 0;

[0022] When W p < 0, obtain the matching degree U of the energy storage device p and the target energy storage power station p = 0.

[0023] Furthermore, the S20 includes:

[0024] S201: Sort the matching degree U of the energy storage device p and the target energy storage power station in descending order of values to obtain an array A, and sum the first r items of the array A to obtain H p , if H r ≥ 1 and H r < 1, it means that the energy storage devices corresponding to the first r item matching degree values of the array A are the target energy storage devices of the target energy storage power station; r-1

[0025] S202: Connect the target energy storage device to the target energy storage power station, collect the 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 of the battery management system includes voltage, temperature and state of charge value, and the operation data of the energy storage converter is the power limit parameter;

[0026] S203: Obtain the power supply amount R of the target energy storage power station to the power grid within the time period [t1 + (j - 1) * d, t1 + j * d], randomly select an energy storage converter K. When R j-1→j > 0, obtain the state of charge value V j-1→j U of the battery management system U matched with the energy storage converter K. 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 within 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 within 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 within the time period [t1 + (j - 1) * d, t1 + j * d]; j-1→j ​

[0027] When 0.8 < V U ≤ 1, the energy storage converter K controls the discharge power of the battery corresponding to the battery management system U in the time period [t1 + (j - 1)*d, t1 + j*d] = min(z, Z*l);

[0028] 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 regulated to min(z, Z*l), the charging power is regulated to 0, and the power conversion rate of the energy storage converter K at the moment of t1 + j*d is regulated to min(z, Z*l)*η;

[0029] Among them, 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 moment of 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 moment of t1 + (j - 1)*d and the voltage value of the battery corresponding to the battery management system U at the moment of t1 + (j - 2)*d, △β represents the difference between the temperature value of the battery corresponding to the battery management system U at the moment of t1 + (j - 1)*d and the temperature value of the battery corresponding to the battery management system U at the moment of t1 + (j - 2)*d, and z represents the maximum charge and discharge power of the battery corresponding to the battery management system U;

[0030] When 0.3 < V U ≤ 0.8, the energy storage converter K controls the charge and discharge power of the battery corresponding to the battery management system U in the time period [t1 + (j - 1)*d, t1 + j*d] = X;

[0031] At this time, the energy storage converter K sends a charge and discharge instruction and a 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 regulated to X, and the power conversion rate of the energy storage converter K at the moment of t1 + j*d is regulated to X*η;

[0032] Among them, X represents the charge and discharge power value determined according to the frequency modulation instruction issued by the power grid at the moment of t1 + (j - 1)*d;

[0033] Traverse all energy storage converters and regulate the operation data of each battery management system and the operation data of each energy storage converter.

[0034] Furthermore, the S30 includes:

[0035] After regulating the operation data of each operating device installed in the target energy storage power station, collect the power conversion rate E of the energy storage converter K installed in the target energy storage power station at the moment of t1 + j*d j for acquisition;

[0036] If E j = X * η or E j = min(z, Z * l) * η, it indicates 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. At this time, there is no output of the alarm information of the target energy storage power station. Among them, η represents the conversion efficiency of the energy storage converter;

[0037] If E j <X * η or E j <min(z, Z * l) * η, it indicates 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 the moment of 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 power conversion rate of the energy storage converter K at the moment of t1 + j * d is E j ;

[0038] Traverse all energy storage converters and output the alarm information set of the target energy storage power station.

[0039] Further, the S40 includes:

[0040] Mark the location of the target energy storage power station and the connection situation between each target energy storage device and the target energy storage power station in the three - dimensional map, and display the output alarm information set of the target energy storage power station at the marked location where the target energy storage power station is located. The operation and maintenance management personnel conduct operation and maintenance management of the target energy storage power station according to the location information of the target energy storage power station, the connection situation between the target energy storage device and the target energy storage power station, and the alarm information set shown on the three - dimensional map.

[0041] Distributed energy storage multi - scenario aggregation control system, the system includes an adaptation analysis module, an operation data regulation module, an alarm information output module, and an operation and maintenance control module;

[0042] The adaptation analysis module is used to analyze the adaptation situation between each energy storage device and the target energy storage power station;

[0043] The operation data regulation module is used to perform real - time regulation on the operation data of each operating device installed in the target energy storage power station;

[0044] 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;

[0045] The operation and maintenance control module is used to perform operation and maintenance management on the target energy storage power station;

[0046] Further, the adaptation analysis module includes a monitoring unit, an energy storage device screening unit, an analysis unit, and an adaptation analysis unit;

[0047] The monitoring unit monitors the real-time operation data and real-time energy data of each energy storage device dispersed at different positions in the power system;

[0048] The energy storage device screening unit preliminarily screens the energy storage devices according to the application scenario of the target energy storage power station;

[0049] The analysis unit collects the historical operation data and historical energy data of each energy storage device retained after preliminary screening within the selected time period, and determines the average operation data set and average energy data set of each energy storage device retained after preliminary screening according to the calculation method of the average value;

[0050] The adaptation analysis unit calculates the power supply quantity of the target energy storage power station in each acquisition time period according to the power supply plan curve of the target energy storage power station within the selected time period, and combines the theoretical discharge power quantity value of each energy storage device within the selected time period and the theoretical total power supply quantity of each energy storage device within the selected time period to predict the adaptation degree between each energy storage device and the target energy storage power station.

[0051] Further, the operation data regulation module includes a target energy storage device determination unit, an operation data acquisition unit, and an operation data regulation unit;

[0052] The target energy storage device determination unit determines the target energy storage device of the target energy storage power station according to the adaptation degree between each energy storage device and the target energy storage power station;

[0053] The operation data acquisition unit connects the target energy storage device to the target energy storage power station and collects the real-time operation data of each battery management system and each energy storage converter installed in the target energy storage power station;

[0054] The operation data regulation unit performs real-time regulation on the operation 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.

[0055] Further, the alarm information output module includes an electric energy conversion rate acquisition unit, a fault analysis unit, and an alarm information output unit;

[0056] After regulating the operation data of each operating device installed in the target energy storage power station, the electric energy conversion rate acquisition unit collects the real-time electric energy conversion rate of each energy storage converter installed in the target energy storage power station;

[0057] The fault analysis unit analyzes the fault conditions of each operating device installed in the target energy storage power station based on the constructed judgment model;

[0058] 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.

[0059] Further, the operation and maintenance management and control module includes an alarm monitoring unit and an operation and maintenance management unit;

[0060] The alarm monitoring unit marks the location of the target energy storage power station and the connection status of each target energy storage device to the target energy storage power station in the three-dimensional map, and displays the output set of alarm information of the target energy storage power station at the marked location where the target energy storage power station is located;

[0061] 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, the connection status of the target energy storage device to the target energy storage power station, and the set of alarm information displayed on the three-dimensional map.

[0062] Compared with the prior art, the beneficial effects of the present invention are:

[0063] 1. The present invention preliminarily screens the energy storage devices scattered at different positions in 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 precise selection of the target energy storage devices according to the operation data, energy data of each energy storage device, and the power supply plan of the target energy storage power station. While ensuring that the selected target energy storage device can be applicable to the application scenario of the target energy storage power station, it can also meet the power supply demand of the target energy storage power station, thereby realizing the aggregation management and control of the energy storage devices.

[0064] 2. The present invention analyzes whether it is necessary to adjust the operation data of each operating device according to the operation data of each operating device installed in the target energy storage power station. The adjustment process fully considers the power supply demand of the target energy storage power station and the operation safety of each operating device.

[0065] 3. The present invention analyzes the fault conditions of each operating device installed in the target energy storage power station through the power conversion rate of the energy storage converter. Compared with analyzing the fault conditions of the operating device through comprehensive multi-dimensional data, while ensuring the analysis accuracy, the analysis process is simplified, and the aggregation management and control situation and alarm information of each energy storage device are displayed through the map, which is convenient for the operation and maintenance personnel to perform operation and maintenance management on the target energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the working process of the multi-scenario aggregation management and control method for distributed energy storage of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0067] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0068] As Figure 1 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 comprising:

[0069] S10: Monitor and analyze the real-time operation data and real-time energy data of each energy storage device dispersed at different positions in 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;

[0070] S10 includes:

[0071] S101: Monitor the real-time operation data and real-time energy data of each energy storage device dispersed at different positions in the power system. The operation data of the energy storage device includes the active power and operation state value of the energy storage device. The operation state value is 0 or 1. When the energy storage device is in the standby state or the discharging state, the operation state value of the energy storage device is 0. When the energy storage device is in the charging state, the operation state 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 (the energy conversion efficiency refers to the energy loss rate of the energy storage device during the charge and discharge process), and the discharge power value;

[0072] S102: According to the application scenario of the target energy storage power station, the application scenario includes energy storage on the power generation side, energy storage on the user side, and energy storage on the transmission and distribution side, perform a preliminary screening on the energy storage device. The specific screening method is: judge 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 it meets the requirements, the corresponding energy storage device is retained. If it does not meet the requirements, the corresponding energy storage device is excluded. The performance characteristics include the energy storage capacity of the energy storage device, the response rate (the response rate refers to the value of the rapid adaptation ability of the energy storage device to the power change demand), the energy storage efficiency (the energy storage efficiency refers to the energy conversion efficiency of the energy storage device during the charge and discharge process), the output power (the output power refers to the maximum power that the energy storage device can output within a specific time), the flexibility (the flexibility refers to the value of the ability of the energy storage device to quickly adjust the stored and released energy according to the demand), and the reliability (the reliability refers to the ability of the energy storage device to operate stably, safely, and efficiently under various working conditions);

[0073] S103: Collect the historical operation data and historical energy data of each energy storage device retained after preliminary screening within the selected time period [t1, t2], where 0 ≤ t1 < t2 ≤ 24, unit: hour. According to the calculation method of the average value, determine the average operation data set M and the average energy data set N of each energy storage device retained after preliminary screening within the selected time period [t1, t2];

[0074] M = {(f 111 , f 211 ), (f 122 , f 222 ), …, (f 1jp , f 2jp )}, where j = 1, 2, …, n, indicating the numbering process of the acquisition time points of the operation data and energy data within the time period [t1, t2] in chronological order, n represents the total number of numbers, p = 1, 2, …, q, indicating the numbers corresponding to each energy storage device retained after preliminary screening, q represents the total number of energy storage devices retained after screening, f 1jp represents the average active power value of energy storage device p at the acquisition time point numbered j, and f 2jp represents the average operation state value of energy storage device p at the acquisition time point numbered j;

[0075] 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 energy storage device p at the acquisition time point numbered j, g 2jp represents the average energy conversion efficiency of energy storage device p at the acquisition time point numbered j, and g 3jp represents the average discharge power value of energy storage device p at the acquisition time point numbered j;

[0076] S104: According to the power supply plan curve of the target energy storage power station within the selected time period [t1, t2], calculate the power supply amount R j-1→j of the target energy storage power station to the power grid within the time period [t1 + (j - 1)*d, t1 + j*d]. Based on the calculation result, determine the maximum value maxR of R j-1→j , where d represents the acquisition interval time of the operation data and energy data;

[0077] For all f 1jp * d * f2jp Perform a summation process to obtain f' p , and calculate the product between f' p and 1 - g 2jp to obtain the total theoretical power supply G of the energy storage device p within the selected time period [t1, t2] p ;

[0078] Sum all g 3jp *(1 - g 2jp ) from j = 1 to j = n to obtain the theoretical discharge charge value S of the energy storage device p within the selected time period [t1, t2] p ;

[0079] Sum all g 1jp from j = 1 to j = n to obtain g', and calculate the difference W p between S p and g' p . 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]. If W p < 0, it means that the energy storage device p cannot meet the load power supply demand within the selected time period [t1, t2]; p When W

[0080] = 0, calculate the ratio between G p - S p and maxR * n to obtain the adaptability U of the energy storage device p to the target energy storage power station p = 0; p When W

[0081] < 0, obtain the adaptability U of the energy storage device p to the target energy storage power station p = 0; p S20: Select the target energy storage device of the target energy storage power station, connect the selected target energy storage device to the target energy storage power station, and perform real-time regulation on the operation 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;

[0082] S20 includes:

[0083] S201: Sort the adaptability U

[0084] of the energy storage device p to the target energy storage power station in descending order of values to obtain an array A, and sum the first r items of the array A to obtain H p . If H r ≥ 1 and H r r-1 ​If < 1, it indicates that the energy storage device corresponding to the adaptability values of the first r items of the array A is the target energy storage device of the target energy storage power station;

[0085] S202: Connect the target energy storage device to the target energy storage power station, and collect the 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 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 operation data of the energy storage converter is the power limit parameter;

[0086] S203: Obtain the power supply amount R of the target energy storage power station to the power grid during 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, obtain the state of charge value V of the battery management system U matched with the energy storage converter K U . If the energy storage converter K can interact with the battery management system U, it is said that the battery management system U is matched with the energy storage converter K. If V U > 0.3, the energy storage converter K controls the battery corresponding to the battery management system U to be in the discharge 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 the 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 the charging state during the time period [t1 + (j - 1)*d, t1 + j*d];

[0087] When 0.8 < V U ≤ 1, the discharge power of the battery corresponding to the battery management system U controlled by the energy storage converter K during the time period [t1 + (j - 1)*d, t1 + j*d] = min(z, Z*l);

[0088] 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 regulated to min(z, Z*l), the charging power is regulated to 0, and the power conversion rate of the energy storage converter K at the moment of t1 + j*d is regulated to min(z, Z*l)*η;

[0089] Among them, 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 moment of 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 moment of t1+(j - 1)*d and the voltage value of the battery corresponding to the battery management system U at the moment of t1+(j - 2)*d, △β represents the difference between the temperature value of the battery corresponding to the battery management system U at the moment of t1+(j - 1)*d and the temperature value of the battery corresponding to the battery management system U at the moment of t1+(j - 2)*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;

[0090] When 0.3 < V U ≤ 0.8, the energy storage converter K controls the charge and discharge power of the battery corresponding to the battery management system U within the time period of [t1+(j - 1)*d, t1 + j*d] = X;

[0091] At this time, the energy storage converter K sends a charge and discharge instruction and a 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 regulated to X, and the power conversion rate of the energy storage converter K at the moment of t1 + j*d is regulated to X*η;

[0092] Among them, X represents the charge and discharge power value determined according to the frequency modulation instruction issued by the power grid at the moment of t1+(j - 1)*d;

[0093] Traverse all energy storage converters and regulate the operation data of each battery management system and the operation data of each energy storage converter.

[0094] S30: Based on the regulation result, analyze the real-time power supply situation of the target energy storage power station, and adaptively output the alarm information of the target energy storage power station based on the analysis result;

[0095] S30 includes:

[0096] After regulating the operation data of each operating device installed in the target energy storage power station, collect the power conversion rate E of the energy storage converter K installed in the target energy storage power station at the moment of t1 + j*d j for collection;

[0097] If E j = X*η or E 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. At this time, no alarm information of the target energy storage power station is output, where η represents the conversion efficiency of the energy storage converter;

[0098] If E j<X * η or E j <min(z, Z * l) * η, it indicates that the battery corresponding to the energy storage converter K or the battery management system U has abnormal operation. At this time, the alarm information of the target energy storage power station is output, and the alarm information is: at the moment of 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 power conversion rate of the energy storage converter K at the moment of t1 + j * d is E j ;

[0099] Traverse all energy storage converters and output the alarm information set of the target energy storage power station;

[0100] S40: The operation and maintenance management personnel perform operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station shown on the map, the connection situation between the target energy storage device and the target energy storage power station, and the alarm information set;

[0101] S40 includes:

[0102] Mark the location of the target energy storage power station and the connection situation between each target energy storage device and the target energy storage power station in the 3D map, and display the output alarm information set of the target energy storage power station at the marked location where the target energy storage power station is located. The operation and maintenance management personnel perform operation and maintenance management on the target energy storage power station according to the location information of the target energy storage power station shown on the 3D map, the connection situation between the target energy storage device and the target energy storage power station, and the alarm information set.

[0103] Distributed energy storage multi-scenario aggregation control system, the system includes an adaptation analysis module, an operation data regulation module, an alarm information output module, and an operation and maintenance control module;

[0104] The adaptation analysis module is used to analyze the adaptation situation between each energy storage device and the target energy storage power station;

[0105] The adaptation analysis module includes a monitoring unit, an energy storage device screening unit, an analysis unit, and an adaptation analysis unit;

[0106] The monitoring unit monitors the real-time operation data and real-time energy data of each energy storage device scattered at different positions in the power system;

[0107] The energy storage device screening unit preliminarily screens the energy storage devices according to the application scenario of the target energy storage power station;

[0108] The analysis unit collects the historical operation data and historical energy data of each energy storage device retained after the preliminary screening within the selected time period, and determines the average operation data set and average energy data set of each energy storage device retained after the preliminary screening according to the calculation method of the average value;

[0109] The adaptation analysis unit calculates the power supply of the target energy storage power station during each acquisition time period according to the power supply plan curve of the target energy storage power station during the selected time period, and combines the theoretical discharge power values of each energy storage device during the selected time period and the total theoretical power supply of each energy storage device during the selected time period to predict the adaptability between each energy storage device and the target energy storage power station;

[0110] The operation data regulation module is used to regulate the operation data of each operating device installed in the target energy storage power station in real time;

[0111] The operation data regulation module includes a target energy storage device determination unit, an operation data acquisition unit, and an operation data regulation unit;

[0112] The target energy storage device determination unit determines the target energy storage device of the target energy storage power station according to the adaptability between each energy storage device and the target energy storage power station;

[0113] The operation data acquisition unit connects the target energy storage device to the target energy storage power station and acquires the real-time operation data of each battery management system and each energy storage converter installed in the target energy storage power station;

[0114] The operation data regulation unit regulates the operation data of each operating device installed in the target energy storage power station in real time according to the power supply plan curve of the target energy storage power station;

[0115] 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;

[0116] The alarm information output module includes an electric energy conversion rate acquisition unit, a fault analysis unit, and an alarm information output unit;

[0117] After regulating the operation data of each operating device installed in the target energy storage power station, 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;

[0118] The fault analysis unit analyzes the fault conditions of each operating device installed in the target energy storage power station based on the constructed judgment model;

[0119] 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;

[0120] The operation and maintenance control module is used to perform operation and maintenance management on the target energy storage power station;

[0121] The operation and maintenance control module includes an alarm monitoring unit and an operation and maintenance management unit;

[0122] The alarm monitoring unit marks the location of the target energy storage power station and the connection between 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 where the target energy storage power station is located;

[0123] The operation and maintenance management unit conducts 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 between the target energy storage device and the target energy storage power station, and the alarm information set displayed on the three-dimensional map.

[0124] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

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; 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. The specific method is as follows: 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; M={(f 111 ,f 211 ),(f 122 ,f 222 ),…,(f 1jp ,f 2jp )}; N={(g 111 ,g 211 ,g 311 ),(g 122 ,g 222 ,g 322 ),…,(g 1jp ,g 2jp ,g 3jp )}; Where, 0≤t1<t2≤24, 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 corresponding to each energy storage device initially screened and retained, q represents the total number of energy storage devices 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 acquisition time point numbered j, 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; 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: Collect 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 determine 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.

3. The distributed energy storage multi-scenario aggregation management and control method according to claim 2 is characterized in that: 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.

4. The distributed energy storage multi-scenario aggregation management and control method according to claim 3 is characterized by: 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.

5. The distributed energy storage multi-scenario aggregation management and control method according to claim 4 is characterized in that: 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.

6. The distributed energy storage multi-scenario aggregation management and control method according to claim 5 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.

7. A distributed energy storage multi-scenario aggregation control system for implementing the distributed energy storage multi-scenario aggregation control method according to any one of claims 1 to 6, 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.

8. The distributed energy storage multi-scenario aggregation management and control system according to claim 7 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.

9. The distributed energy storage multi-scenario aggregation management and control system according to claim 8 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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