A collaborative management and control system based on source, grid, load and storage

Abstract

The present invention relates to the technical field of power grid management, and in particular to a collaborative management and control system based on source, grid, load and storage, comprising: an upload module for uploading historical power information of a power generation end, a power distribution end, a power consumption end and an energy storage end; an analysis module for traversing the historical power information uploaded in the upload module, and analyzing the degree of influence of each power consumption end on the power generation end, the power distribution end and the energy storage end based on the historical power information; the present invention analyzes the degree of influence of the power consumption end on the power generation end, the power distribution end and the energy storage end by uploading the historical power information of the power generation end, the power distribution end, the power consumption end and the energy storage end, thereby distinguishing and judging whether the power consumption end poses an operational threat to the power generation end, the distribution end and the energy storage end based on the analysis result and the real-time online status of the power users in the distribution network, and thereby controlling the connection status of the power users in the distribution network based on the judgment result and the defined maintenance logic.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid management, and in particular to a collaborative management and control system based on source, grid, load and storage. Background Art

[0002] Source-grid-load-storage is an advanced power operation model. "Source" refers to various power sources, such as hydropower, thermal power, wind power, and photovoltaic power; "grid" is the power network responsible for power transmission and distribution; "load" refers to the power load, covering industrial, commercial, and residential electricity needs; and "storage" refers to energy storage devices that regulate the spatial and temporal distribution of power. The synergistic interaction of these four elements enhances the stability and flexibility of the power system.

[0003] The invention patent application with application number 202411586591.5 discloses a source-grid-load-storage collaborative control method, which includes: step S101, the collaborative control intermediate processing end receives the source-grid-load-storage collaborative control instruction sent by the source-grid-load-storage collaborative control terminal; the source-grid-load-storage collaborative control instruction is used to control the power generation end data processing terminal, the transmission network data processing terminal, the load end data processing terminal and the energy storage data processing terminal to read the source-grid-load-storage state information; step S102, the collaborative control intermediate processing end sends the source-grid-load-storage collaborative control instruction to the power generation end data processing terminal, the transmission network data processing terminal, the load end data processing terminal and the energy storage data processing terminal respectively; step S103, the collaborative control intermediate processing end receives the power generation end data processing terminal, the transmission network data processing terminal, the load end data processing terminal and the energy storage data processing terminal respectively, and the source-grid-load-storage collaborative control instruction is used to control the power generation end data processing terminal, the transmission network data processing terminal, the load end data processing terminal and the energy storage data processing terminal respectively. The first source grid load-storage status information is sent by the management terminal and the energy storage data processing terminal; step S104, according to the preset classification control rules, and combined with the control identification of the source grid load-storage device and the source grid load-storage status information in the first source grid load-storage status information, the second source grid load-storage status information is obtained; step S105, the second source grid load-storage status information is sent to the source grid load-storage collaborative control and management terminal, and the source grid load-storage collaborative control and management terminal saves and displays the second source grid load-storage status information; step S106, the collaborative control intermediate processing end stores the identification information of the source grid load-storage device in the received first source grid load-storage status information and the identification information of the target source grid load-storage device in the second source grid load-storage status information generated by the source grid load-storage status information.

[0004] The application aims to solve the problem of "reduced collaborative effectiveness and management efficiency among the power generation end, transmission network, load end and energy storage equipment in the power system."

[0005] However, based on the above technical solutions, the degree of control of each party is limited to surface dataization. The control of each party still requires manual intervention to regulate, and its degree of intelligence still has room for improvement.

[0006] Therefore, a collaborative management and control system based on source, grid, load and storage is proposed. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a collaborative management and control system based on source, grid, load and storage, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A collaborative management and control system based on source, grid, load and storage, including:

[0010] The upload module is used to upload historical power information of the power generation end, distribution end, power consumption end, and energy storage end;

[0011] The upload module is interactively connected to a storage unit via a wireless network, the upload module is interactively connected to an analysis module via a wireless network, the analysis module is interactively connected to a retrieval unit and a return unit via a wireless network, the return unit and the retrieval unit are interactively connected to the storage unit via a wireless network, the analysis module is interactively connected to a monitoring module and a determination module via a wireless network, and the determination module is interactively connected to a maintenance module via a wireless network;

[0012] The analysis module is used to traverse the historical power information uploaded in the upload module, and analyze the degree of influence of each power user on the power generation end, distribution end, and energy storage end based on the historical power information; the monitoring module is used to monitor the real-time online power users in the distribution network, and identify the real-time comprehensive risks of the power generation end, distribution end, and energy storage end based on the monitoring results; the judgment module is used to set the safety judgment interval, receive the real-time comprehensive risk identification results of the power generation end, distribution end, and energy storage end in the monitoring module, and determine whether the power user poses an operational threat to the power generation end, distribution end, and energy storage end based on the comparison of the identification result with the safety judgment interval; the maintenance module is used to receive the judgment result in the judgment module, and when the judgment result is yes, control the power user in the distribution network to disconnect from the distribution network.

[0013] Furthermore, the historical power information of the power generation end, power distribution end, power consumption end, and energy storage end includes:

[0014] Power generation end: daily power generation and daily average power generation;

[0015] Distribution end: line voltage, current, power factor, distribution equipment load rate, voltage deviation, frequency deviation, and harmonic content;

[0016] Electricity consumption: daily electricity consumption, daily electricity load curve, industry classification of users, and electricity efficiency;

[0017] Energy storage end: charging and discharging SOC range of energy storage equipment, average charging and discharging power, charging and discharging capacity, SOH of energy storage equipment, cumulative charging and discharging times, and charging and discharging efficiency.

[0018] The upload module is internally provided with submodules, including:

[0019] A storage unit is used to receive the historical power information uploaded by the upload module, and to differentiate and store the historical power information based on the source of the historical power information;

[0020] Among them, the differentiated storage interval for storing the historical power information of the power consumption end in the storage unit is further provided with a plurality of sub-differentiated storage intervals, and the historical power information belonging to different power consumption ends is differentiated and stored based on the sub-differentiated storage intervals.

[0021] Furthermore, the analysis module is provided with submodules at the lower level, including:

[0022] A retrieval unit is used to retrieve the historical power information of the power generation end, power distribution end, power consumption end, and energy storage end stored in the storage unit, and forward the retrieved historical information to the analysis module;

[0023] The feedback unit is used to receive the degree of influence of the power consumption end on the power generation end, the power distribution end, and the energy storage end based on the historical power information analysis in the analysis module, and transmit the analysis results to the storage unit;

[0024] Among them, the analysis results of the influence degree of the power consumption end on the power generation end, the power distribution end and the energy storage end are transmitted to the storage unit and then synchronously stored in the corresponding sub-divided storage interval in the divided storage interval of the storage unit.

[0025] Furthermore, the degree of influence of the power consumption end on the power generation end in the analysis module is:

[0026] ;

[0027] Where: The degree of influence of the electricity consumption end on the power generation end; The daily power consumption of the electricity consumer; is the daily power generation at the power generation end; is the standard deviation of the daily electricity load curve; is the daily average load value; is the average daily power generation at the power generation end; is the historical average power of power generation equipment; Impact value for electricity user industry classification;

[0028] Among them, the impact value of electricity user industry classification ∈(0,1],the industry classification of electricity users includes industrial electricity, commercial electricity, and residential electricity. When the industry classification of electricity users is industrial electricity, commercial electricity, and residential electricity, the corresponding impact value follows .

[0029] Furthermore, the degree of influence of the power consumption end on the power distribution end in the analysis module is:

[0030] ;

[0031] Where: The degree of influence of the power consumption end on the power distribution end; The daily power consumption of the electricity consumer; The maximum daily power consumption uploaded by the upload module; is the peak-to-valley difference of the daily electricity load curve; is the average power of the daily electricity load curve; is the equivalent electrical energy; is the input electrical energy; is the power factor at the distribution end; is the line voltage and line current; is the rated apparent power; is the harmonic content at the distribution end.

[0032] Furthermore, the degree of influence of the power consumption end on the energy storage end in the analysis module is:

[0033] ;

[0034] Where: The degree of influence of the electricity consumption end on the energy storage end; The daily power consumption of the electricity consumer; The maximum daily power consumption uploaded by the upload module; for ; The efficiency of electric energy use; The SOC range of the energy storage device for charging and discharging; The average charging power of the energy storage device; is the average discharge power of the energy storage device; is the rated power of the energy storage device; The health status of the energy storage equipment; The charging and discharging efficiency of energy storage equipment;

[0035] in, and The values are between 0 and 1. The value is the ratio of the current capacity of the energy storage end to the initial capacity.

[0036] Furthermore, the monitoring module monitors the operation of the real-time online electricity users in the power distribution network, that is, monitors the operation of the real-time online electricity users in the power distribution terminal;

[0037] The real-time comprehensive risk identification logic of the power generation end, distribution end, and energy storage end in the monitoring module is expressed as follows:

[0038] ;

[0039] Where: Real-time comprehensive risk value for power generation, distribution, and energy storage; The total number of electricity users online in real time in the power distribution network; It is an operation to obtain the maximum value in the brackets; is the impact of the i-th electricity user on the power generation, distribution, and energy storage ends; is the normalization factor; is the total number of electricity users;

[0040] in, The larger it is, the higher the risk, and vice versa.

[0041] Furthermore, the monitoring module has an operating frequency defined by a system user, and the monitoring module runs continuously based on the operating frequency;

[0042] The safety determination interval set in the determination module is customized by the system end user. When the determination result of the determination module is negative, a jump is triggered and the monitoring module is switched to the operation stage.

[0043] The determination module runs synchronously with the monitoring module. The determination module completes one determination operation within the time domain between two consecutive operations of the monitoring module.

[0044] Furthermore, in the maintenance module, the system end user configures a weight for each electricity user, and based on the weight configuration result of the electricity user, the electricity users are sorted in descending order. When the judgment result is yes, the electricity user is selected from the last position of the descending order result of the electricity user as the control target, and the connection between the electricity user and the power distribution network is controlled to be disconnected;

[0045] Among them, the maintenance module controls the operation of disconnecting the electricity user from the distribution network each time as an electricity user, and the maintenance module runs synchronously with the judgment module. When the judgment module runs continuously and the result of the judgment is no, the power supply to all electricity users disconnected from the distribution network is restored.

[0046] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0047] The present invention provides a collaborative management and control system based on source, grid, load and storage. During operation, the system analyzes the degree of influence of the power consumption end on the power generation end, distribution end and energy storage end by uploading historical power information of the power generation end, distribution end, power consumption end and energy storage end. Based on the analysis results and the real-time online status of the power users in the distribution network, it distinguishes and determines whether the power consumption end poses an operational threat to the power generation end, distribution end and energy storage end. Based on the judgment results and the defined maintenance logic, the connection status of the power users in the distribution network is controlled, thereby realizing collaborative management and control, and ensuring the safety, rationality and robustness of the collaborative operation of the power generation end, distribution end, power consumption end and energy storage end. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0049] Figure 1 This is a structural diagram of a collaborative management and control system based on source, grid, load and storage. DETAILED DESCRIPTION

[0050] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0051] The present invention will be further described below with reference to the embodiments.

[0052] Example:

[0053] This embodiment is a collaborative management and control system based on source, grid, load and storage, such as Figure 1 Shown, including:

[0054] The upload module is used to upload historical power information of the power generation end, distribution end, power consumption end, and energy storage end;

[0055] Historical power information at the power generation, distribution, consumption, and energy storage ends includes:

[0056] Power generation end: daily power generation and daily average power generation;

[0057] Distribution end: line voltage, current, power factor, distribution equipment load rate, voltage deviation, frequency deviation, and harmonic content;

[0058] Electricity consumption: daily electricity consumption, daily electricity load curve, industry classification of users, and electricity efficiency;

[0059] Energy storage end: charging and discharging SOC range of energy storage equipment, average charging and discharging power, charging and discharging capacity, SOH of energy storage equipment, cumulative charging and discharging times, and charging and discharging efficiency.

[0060] The upload module has submodules, including:

[0061] A storage unit is used to receive the historical power information uploaded by the upload module, and to differentiate and store the historical power information based on the source of the historical power information;

[0062] Among them, the storage unit is used to store the historical power information of the power end in a differentiated storage interval, which is further provided with a plurality of sub-differentiated storage intervals. The historical power information of different power ends is differentiated and stored based on the sub-differentiated storage intervals.

[0063] The analysis module is used to traverse the historical power information uploaded by the upload module and analyze the impact of each power consumption end on the power generation end, distribution end, and energy storage end based on the historical power information;

[0064] The analysis module is divided into submodules, including:

[0065] A retrieval unit is used to retrieve the historical power information of the power generation end, power distribution end, power consumption end, and energy storage end stored in the storage unit, and forward the retrieved historical information to the analysis module;

[0066] The feedback unit is used to receive the degree of influence of the power consumption end on the power generation end, the power distribution end, and the energy storage end based on the historical power information analysis in the analysis module, and transmit the analysis results to the storage unit;

[0067] The analysis results of the degree of influence of the power consumption end on the power generation end, the power distribution end, and the energy storage end are transmitted to the storage unit and then synchronously stored in the corresponding sub-divided storage intervals in the divided storage intervals of the storage unit;

[0068] The degree of influence of the power consumption end on the power generation end in the analysis module is:

[0069] ;

[0070] Where: The degree of influence of the electricity consumption end on the power generation end; The daily power consumption of the electricity consumer; is the daily power generation at the power generation end; is the standard deviation of the daily electricity load curve; is the daily average load value; is the average daily power generation at the power generation end; is the historical average power of power generation equipment; Impact value for electricity user industry classification;

[0071] Among them, the impact value of electricity user industry classification ∈(0,1],the industry classification of electricity users includes industrial electricity, commercial electricity, and residential electricity. When the industry classification of electricity users is industrial electricity, commercial electricity, and residential electricity, the corresponding impact value follows ;

[0072] The degree of influence of the power consumption end on the power distribution end in the analysis module is:

[0073] ;

[0074] Where: The degree of influence of the power consumption end on the power distribution end; The daily power consumption of the electricity consumer; The maximum daily power consumption uploaded by the upload module; is the peak-to-valley difference of the daily electricity load curve; is the average power of the daily electricity load curve; is the equivalent electrical energy; is the input electrical energy; is the power factor at the distribution end; is the line voltage and line current; is the rated apparent power; is the harmonic content at the distribution end;

[0075] The degree of influence of the power consumption end on the energy storage end in the analysis module is:

[0076] ;

[0077] Where: The degree of influence of the electricity consumption end on the energy storage end; The daily power consumption of the electricity consumer; The maximum daily power consumption uploaded by the upload module; for ; The efficiency of electric energy use; The SOC range of the energy storage device for charging and discharging; The average charging power of the energy storage device; is the average discharge power of the energy storage device; is the rated power of the energy storage device; The health status of the energy storage equipment; The charging and discharging efficiency of energy storage equipment;

[0078] in, and The values are between 0 and 1. The value is the ratio of the current capacity of the energy storage end to the initial capacity;

[0079] Through the above logical formula, the calculation logic of the degree of influence of the electricity consumption end on the power generation end, energy storage end, and distribution end is further limited.

[0080] The monitoring module is used to monitor the real-time online electricity users in the distribution network and identify the real-time comprehensive risks of the power generation, distribution and energy storage ends based on the monitoring results;

[0081] The monitoring module monitors the operations of real-time online electricity users in the power distribution network, that is, monitors the operations of real-time online electricity users in the power distribution terminal;

[0082] The real-time comprehensive risk identification logic of the power generation, distribution, and energy storage ends in the monitoring module is expressed as follows:

[0083] ;

[0084] Where: Real-time comprehensive risk value for power generation, distribution, and energy storage; The total number of electricity users online in real time in the power distribution network; It is an operation to obtain the maximum value in the brackets; is the impact of the i-th electricity user on the power generation, distribution, and energy storage ends; is the normalization factor; is the total number of electricity users;

[0085] in, The larger it is, the higher the risk, and vice versa;

[0086] Through the above logical formula, the real-time comprehensive risk values of the power generation end, distribution end, and energy storage end are calculated to provide necessary operating data support for the further operation of the judgment module.

[0087] The judgment module is used to set the safety judgment interval, receive the real-time comprehensive risk identification results of the power generation end, distribution end, and energy storage end from the monitoring module, and compare the identification results with the safety judgment interval to determine whether the power consumption end poses an operational threat to the power generation end, distribution end, and energy storage end;

[0088] The monitoring module has an operating frequency defined by the system user, and the monitoring module runs continuously based on the operating frequency;

[0089] The safety determination interval set in the determination module is customized by the system end user. When the determination result of the determination module is negative, a jump is triggered and the system jumps to the operation stage of the monitoring module.

[0090] The determination module runs synchronously with the monitoring module. During the time between two consecutive runs of the monitoring module, the determination module completes one determination operation.

[0091] a maintenance module, configured to receive a determination result from the determination module, and, when the determination result is yes, control the disconnection of the power user in the power distribution network from the power distribution network;

[0092] In the maintenance module, the system end user configures weights for each electricity user, and sorts the electricity users in descending order based on the weight configuration results. If the judgment result is yes, the electricity user is selected from the last position of the descending order result as the control target, and the connection between the electricity user and the distribution network is controlled;

[0093] The maintenance module controls the disconnection of a power user from the power distribution network each time as a power user. The maintenance module runs synchronously with the determination module. When the determination result of the determination module runs continuously and is negative, the power supply to all power users disconnected from the power distribution network is restored.

[0094] The upload module is interactively connected to the storage unit via a wireless network, the upload module is interactively connected to the analysis module via a wireless network, the analysis module is interactively connected to the retrieval unit and the return unit via a wireless network, the return unit and the retrieval unit are interactively connected to the storage unit via a wireless network, the analysis module is interactively connected to the monitoring module and the determination module via a wireless network, and the determination module is interactively connected to the maintenance module via a wireless network.

[0095] In this embodiment, the upload module runs to upload historical power information of the power generation end, the power distribution end, the power consumption end, and the energy storage end. The storage unit synchronously receives the historical power information uploaded in the upload module, and differentiates and stores the historical power information based on the source end of the historical power information. The analysis module runs in the post-process to traverse the historical power information uploaded in the upload module, and analyzes the degree of influence of each power consumption end on the power generation end, the power distribution end, and the energy storage end based on the historical power information. The retrieval unit synchronously retrieves the historical power information of the power generation end, the power distribution end, the power consumption end, and the energy storage end stored in the storage unit, and forwards the retrieved historical information to the analysis module. The return unit receives the user information analyzed based on the historical power information in the analysis module in real time. The degree of influence of the power end on the power generation end, the distribution end and the energy storage end is analyzed and the results are transmitted to the storage unit. The monitoring module further monitors the power users who are online in the distribution network in real time, and identifies the real-time comprehensive risks of the power generation end, the distribution end and the energy storage end based on the monitoring results. The judgment module then sets the safety judgment interval, receives the real-time comprehensive risk identification results of the power generation end, the distribution end and the energy storage end in the monitoring module, and compares the identification results with the safety judgment interval to determine whether the power end poses an operational threat to the power generation end, the distribution end and the energy storage end. Finally, the maintenance module receives the judgment result in the judgment module. When the judgment result is yes, the power user in the distribution network is controlled to be disconnected from the distribution network;

[0096] Through the operation of the system in the above embodiment, the historical power information of the power generation end, distribution end, power consumption end and energy storage end is used to analyze the degree of influence of the power consumption end on the power generation end, distribution end and energy storage end. It is further distinguished and judged whether the power consumption end poses an operational threat to the power generation end, distribution end and energy storage end. Finally, through the judgment results and maintenance logic, the connection status of the power users in the distribution network is controlled, effectively improving the intelligence and robustness of the interaction between the power generation end, distribution end, power consumption end and energy storage end.

[0097] In summary, during operation, the system in the above embodiment analyzes the degree of influence of the power consumption end on the power generation end, the distribution end, the power consumption end, and the energy storage end by uploading historical power information of the power generation end, the distribution end, the power consumption end, and the energy storage end. Based on the analysis results and the real-time online status of the power users in the distribution network, it is distinguished and determined whether the power consumption end poses an operational threat to the power generation end, the distribution end, and the energy storage end. Based on the judgment results and the defined maintenance logic, the connection status of the power users in the distribution network is controlled, thereby realizing collaborative management and control, and ensuring the safety, rationality and robustness of the collaborative operation of the power generation end, the distribution end, the power consumption end, and the energy storage end.

[0098] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A collaborative management and control system based on source, grid, load and storage, characterized by: include: The upload module is used to upload historical power information of the power generation end, distribution end, power consumption end, and energy storage end; The analysis module is used to traverse the historical power information uploaded by the upload module and analyze the impact of each power consumption end on the power generation end, distribution end, and energy storage end based on the historical power information; The monitoring module is used to monitor the real-time online electricity users in the distribution network and identify the real-time comprehensive risks of the power generation, distribution and energy storage ends based on the monitoring results; The judgment module is used to set the safety judgment interval, receive the real-time comprehensive risk identification results of the power generation end, distribution end, and energy storage end from the monitoring module, and compare the identification results with the safety judgment interval to determine whether the power consumption end poses an operational threat to the power generation end, distribution end, and energy storage end; a maintenance module, configured to receive a determination result from the determination module, and, when the determination result is yes, control the disconnection of the power user in the power distribution network from the power distribution network; The degree of influence of the power consumption end on the power generation end in the analysis module is: Where: I use E is the degree of influence of the electricity consumption end on the power generation end; d E is the daily power consumption at the power consumption end; g is the daily power generation at the power generation end; σ is the standard deviation of the daily power load curve; is the daily average load value; P g is the average daily power generation at the power generation end; is the historical average value of the power of power generation equipment; D is the impact value of the industry classification of electricity users; Among them, the impact value of the industry classification of electricity users is D∈(0,1], and the industry classification of electricity users includes industrial electricity, commercial electricity, and residential electricity. When the industry classification of electricity users is industrial electricity, commercial electricity, and residential electricity, the corresponding impact value obeys D 工 >D 商 >D 居 ; The degree of influence of the power consumption end on the power distribution end in the analysis module is: Where: I out E is the degree of influence of the power consumption end on the power distribution end; d E is the daily power consumption at the power consumption end; max The maximum daily power consumption uploaded by the upload module; P var is the peak-to-valley difference of the daily electricity load curve; P avg is the average power of the daily electricity load curve; E out Equivalent electrical energy; in is the input electrical energy; is the power factor at the distribution end; U and I are the line voltage and line current; S rated is the rated apparent power; H impact is the harmonic content at the distribution end; The degree of influence of the power consumption end on the energy storage end in the analysis module is: Where: I IN E is the degree of influence of the electricity consumption end on the energy storage end; d E is the daily power consumption at the power consumption end; max The maximum daily power consumption uploaded by the upload module; C load for η e SOC is the efficiency of power use; range P is the charge and discharge SOC interval of the energy storage device; charge is the average charging power of the energy storage device; P discharge is the average discharge power of the energy storage device; P rated is the rated power of the energy storage device; SOH is the health status of the energy storage device; η s The charging and discharging efficiency of energy storage equipment; Among them, SOC range The values of SOH are both between 0 and 1. SOH is the ratio of the current capacity of the energy storage terminal to the initial capacity. The monitoring module monitors the operations of the real-time online electricity users in the power distribution network, that is, monitors the operations of the real-time online electricity users in the power distribution terminal; The real-time comprehensive risk identification logic of the power generation end, distribution end, and energy storage end in the monitoring module is expressed as follows: Where: F is the real-time comprehensive risk value of the power generation end, distribution end, and energy storage end; n is the total number of electricity users online in the distribution network; MAX[·] is the operation of taking the maximum value in the brackets; I use (i) I out (i) I IN (i) is the influence degree of the i-th electricity user on the power generation end, the power distribution end, and the energy storage end; γ is the normalization factor; n0 is the total number of electricity users; Among them, the larger the F is, the higher the risk is, and vice versa.

2. A collaborative management and control system based on source, grid, load and storage according to claim 1, characterized in that: The historical power information of the power generation end, power distribution end, power consumption end, and energy storage end includes: Power generation end: daily power generation and daily average power generation; Distribution end: line voltage, current, power factor, distribution equipment load rate, voltage deviation, frequency deviation, and harmonic content; Electricity consumption: daily electricity consumption, daily electricity load curve, industry classification of users, and electricity efficiency; Energy storage end: charging and discharging SOC range of energy storage equipment, average charging and discharging power, charging and discharging capacity, SOH of energy storage equipment, cumulative charging and discharging times, and charging and discharging efficiency. The upload module is internally provided with submodules, including: A storage unit is used to receive the historical power information uploaded by the upload module, and to differentiate and store the historical power information based on the source of the historical power information; Among them, the differentiated storage interval for storing the historical power information of the power consumption end in the storage unit is further provided with a plurality of sub-differentiated storage intervals, and the historical power information belonging to different power consumption ends is differentiated and stored based on the sub-differentiated storage intervals.

3. The collaborative management and control system based on source, grid, load and storage according to claim 2 is characterized in that: The analysis module is provided with submodules at the lower level, including: A retrieval unit is used to retrieve the historical power information of the power generation end, power distribution end, power consumption end, and energy storage end stored in the storage unit, and forward the retrieved historical information to the analysis module; The feedback unit is used to receive the degree of influence of the power consumption end on the power generation end, the power distribution end, and the energy storage end based on the historical power information analysis in the analysis module, and transmit the analysis results to the storage unit; Among them, the analysis results of the influence degree of the power consumption end on the power generation end, the power distribution end and the energy storage end are transmitted to the storage unit and then synchronously stored in the corresponding sub-divided storage interval in the divided storage interval of the storage unit.

4. The collaborative management and control system based on source, grid, load and storage according to claim 1 is characterized in that: The monitoring module has an operating frequency defined by the system user, and the monitoring module runs continuously based on the operating frequency; The safety determination interval set in the determination module is customized by the system end user. When the determination result of the determination module is negative, a jump is triggered and the monitoring module is switched to the operation stage. The determination module runs synchronously with the monitoring module. The determination module completes one determination operation within the time domain between two consecutive operations of the monitoring module.

5. The collaborative management and control system based on source, grid, load and storage according to claim 1 is characterized in that: In the maintenance module, the system end user configures a weight for each electricity user, and based on the weight configuration result, the electricity users are sorted in descending order. If the judgment result is yes, the electricity user is selected from the last position of the descending order result as the control target, and the connection between the electricity user and the power distribution network is controlled to be disconnected; Among them, the maintenance module controls the operation of disconnecting the electricity user from the distribution network each time as an electricity user, and the maintenance module runs synchronously with the judgment module. When the judgment module runs continuously and the result of the judgment is no, the power supply to all electricity users disconnected from the distribution network is restored.

6. The collaborative management and control system based on source, grid, load and storage according to claim 1 is characterized in that: The upload module is interactively connected to a storage unit via a wireless network, the upload module is interactively connected to an analysis module via a wireless network, the analysis module is interactively connected to a retrieval unit and a return unit via a wireless network, the return unit and the retrieval unit are interactively connected to the storage unit via a wireless network, the analysis module is interactively connected to a monitoring module and a determination module via a wireless network, and the determination module is interactively connected to a maintenance module via a wireless network.

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