Cooperative management and control system based on source network load storage

Abstract

The invention relates to the technical field of power grid management, in particular to a source-grid-load-storage-based collaborative management and control system, which comprises an uploading module used for uploading historical power information of a power generation end, a power distribution end, a power utilization end and an energy storage end; the analysis module is used for traversing the historical power information uploaded in the uploading module, and analyzing the influence degree of each power utilization end on the power generation end, the power distribution end and the energy storage end based on the historical power information; according to the invention, the historical power information of the power generation end, the power distribution end, the power utilization end and the energy storage end is uploaded, and the influence degree of the power utilization end on the power generation end, the power distribution end and the energy storage end is analyzed, so that the real-time online condition of the power utilization user in the power distribution network is analyzed based on the analysis result and the real-time online condition of the power utilization user in the power distribution network. Whether the power utilization end causes operation threats to the power generation end, the power distribution end and the energy storage end is distinguished and judged, so that the connection state of the power utilization user in the power distribution network is controlled based on the judgment result and the limited 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 mode. "Source" refers to various power sources, such as hydropower, thermal power, wind power, photovoltaic power, etc.; "grid" is the power network, which is responsible for power transmission and distribution; "load" refers to power load, covering industrial, commercial, residential and other power demand; "storage" refers to energy storage equipment, which can adjust the spatial and temporal distribution of power. The four interact synergistically to improve 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. 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 in combination with the control identification of the source grid-load-storage device in the first source grid-load-storage status information and the 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 first source grid-load-storage status information received 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, and the source grid-load-storage status information of the target source grid-load-storage device.

[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 datafication, and the control of each party still requires human intervention to regulate, and there is still room for improvement in its degree of intelligence.

[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, comprising:

[0010] Upload module, used to upload historical power information of power generation, distribution, consumption and energy storage;

[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 influence of each power user on the power generation end, the distribution end, and the 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 in real time, and identify 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 is used to set the safety judgment interval, receive 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 compare the identification results with the safety judgment interval to determine whether the power user poses an operational threat to the power generation end, the distribution end, and the energy storage end; 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, daily power generation average;

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

[0016] Electricity consumption: daily electricity consumption, daily electricity load curve, user industry classification, 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 number of charging and discharging times, and charging and discharging efficiency.

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

[0019] A storage unit, used for receiving the historical power information uploaded by the upload module, and distinguishing and storing the historical power information based on the source of the historical power information;

[0020] Among them, a plurality of sub-differentiated storage intervals are further provided in the differentiated storage interval for storing the historical power information of the power consumption end in the storage unit, 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, used to retrieve 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 forward the retrieved historical information to the analysis module;

[0023] The feedback unit is used to receive the 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 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 influence degree 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 user; 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 of the power of the power generation equipment; Impact value for the industry classification of electricity users;

[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 influence degree 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 user; 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; For 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 influence degree 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 user; The maximum daily power consumption uploaded by the upload module; for ; The efficiency of electric energy use; The charging and discharging SOC interval size of the energy storage device; 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 device; 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 power users in the power distribution network, that is, monitors the operation of the real-time online power users in the power distribution terminal;

[0037] The real-time comprehensive risk identification logic of the power generation end, power 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; This is the operation to obtain the maximum value between brackets; is the influence degree of the i-th electricity user on the power generation end, power distribution end, and energy storage end; 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 that is customized by the system end 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 to jump to the operation stage of the monitoring module;

[0043] The determination module runs synchronously with the monitoring module, and the determination module completes a 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 weights for each power user, and based on the power user weight configuration results, the power users are sorted in descending order. When the determination result is yes, the power user is selected at the rear position of the power user descending order result as the control target, and the power user is controlled to be disconnected from the power distribution network;

[0045] Among them, the maintenance module controls the operation of disconnecting the power user from the power distribution network each time as a power user, and the maintenance module runs synchronously with the determination module. When the determination result of the continuous operation of the determination module is no, the power supply of all power users disconnected from the power 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 influence of the power consumption end on the power generation end, the power distribution end and the energy storage end by uploading historical power information of the power generation end, the power distribution end, the power consumption 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, it is distinguished and determined whether the power consumption end poses an operational threat to the power generation end, the power distribution end and the energy storage end. Based on the determination result 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 power distribution end, the power consumption end and the energy storage end. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order 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 prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[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] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] The present invention will be further described below in conjunction with the embodiments.

[0052] Example:

[0053] A collaborative management and control system based on source, grid, load and storage in this embodiment, such as Figure 1 As shown, including:

[0054] Upload module, used to upload historical power information of power generation, distribution, consumption and energy storage;

[0055] The historical power information of the power generation, distribution, consumption and energy storage ends includes:

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

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

[0058] Electricity consumption: daily electricity consumption, daily electricity load curve, user industry classification, 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 number of charging and discharging times, and charging and discharging efficiency.

[0060] The upload module has submodules, including:

[0061] A storage unit, used for receiving the historical power information uploaded by the upload module, and distinguishing and storing 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, and a plurality of sub-differentiated storage intervals are further provided. The historical power information belonging to different power ends is differentiated and stored based on the sub-differentiated storage intervals.

[0063] An analysis module is used to traverse the historical power information uploaded in the upload module, and analyze the 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;

[0064] The analysis module is provided with submodules, including:

[0065] A retrieval unit, used to retrieve 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 forward the retrieved historical information to the analysis module;

[0066] The feedback unit is used to receive the 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] 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;

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

[0069] ;

[0070] Where: The degree of influence of the electricity consumption end on the power generation end; The daily power consumption of the electricity user; 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 of the power of the power generation equipment; Impact value for the industry classification of electricity users;

[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 influence of the power consumption end on the power distribution end in the analysis module is as follows:

[0073] ;

[0074] Where: The degree of influence of the power consumption end on the power distribution end; The daily power consumption of the electricity user; 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; For 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 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 user; The maximum daily power consumption uploaded by the upload module; for ; The efficiency of electric energy use; The charging and discharging SOC interval size of the energy storage device; 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 device; 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 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 operation of the real-time online power users in the power distribution network, that is, monitors the operation of the real-time online power users in the power distribution terminal;

[0082] 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:

[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; This is the operation to obtain the maximum value between brackets; is the influence degree of the i-th electricity user on the power generation end, power distribution end, and energy storage end; 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 operation data support for the further operation of the judgment module.

[0087] The determination module is used to set the safety determination interval, receive the real-time comprehensive risk identification results of the power generation end, the power distribution end, and the energy storage end in the monitoring module, and determine whether the power consumption end poses an operational threat to the power generation end, the power distribution end, and the energy storage end based on the comparison between the identification results and the safety determination interval;

[0088] The monitoring module has an operating frequency that is customized by the system end 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 to jump to the operation stage of the monitoring module;

[0090] The determination module runs synchronously with the monitoring module, and the determination module completes a determination operation within the time domain between two consecutive operations of the monitoring module;

[0091] A maintenance module, used for receiving the determination result in the determination module, and when the determination result is yes, controlling the power user in the power distribution network to disconnect from the power distribution network;

[0092] In the maintenance module, the system end user configures weights for each power user, and sorts the power users in descending order based on the power user weight configuration results. When the judgment result is yes, the power user is selected at the rear position of the power user descending order result as the control target, and the power user is controlled to be disconnected from the power distribution network;

[0093] The maintenance module controls the disconnection of the power user from the power distribution network each time as one power user, and the maintenance module runs synchronously with the determination module. When the determination result of the continuous operation of the determination module is no, the power supply of all power users disconnected from the power distribution network is restored;

[0094] 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.

[0095] In this embodiment, the upload module is operated to upload the 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 is post-operated to traverse the historical power information uploaded in the upload module, and analyzes the 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 influence of the power end on the power generation end, the distribution end and the energy storage end is analyzed, and the analysis 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 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 disconnect from the distribution network.

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

[0097] In summary, during operation, the system in the above embodiment analyzes the degree of influence of the power user on the power generation end, the distribution 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 determined whether the power user poses an operational threat to the power generation end, the distribution end, and the energy storage end. Based on the determination results and the specified 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 the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such 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 embodiments of the present invention.

Claims

1. A collaborative management and control system based on source, grid, load and storage, characterized in that: include: Upload module, used to upload historical power information of power generation, distribution, consumption and energy storage; An analysis module is used to traverse the historical power information uploaded in the upload module, and analyze the 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 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 determination module is used to set the safety determination interval, receive the real-time comprehensive risk identification results of the power generation end, the power distribution end, and the energy storage end in the monitoring module, and determine whether the power consumption end poses an operational threat to the power generation end, the power distribution end, and the energy storage end based on the comparison between the identification results and the safety determination interval; The maintenance module is used to receive the determination result in the determination module, and when the determination result is yes, control the power user in the power distribution network to disconnect from the power distribution network.

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, daily power generation average; Distribution end: line voltage, current, power factor, distribution equipment load rate, voltage deviation, frequency deviation, harmonic content; Electricity consumption: daily electricity consumption, daily electricity load curve, user industry classification, 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, used for receiving the historical power information uploaded by the upload module, and distinguishing and storing the historical power information based on the source of the historical power information; Among them, a plurality of sub-differentiated storage intervals are further provided in the differentiated storage interval for storing the historical power information of the power consumption end in the storage unit, and the historical power information belonging to different power consumption ends is differentiated and stored based on the sub-differentiated storage intervals.

3. A collaborative management and control system based on source, grid, load and storage according to claim 2, 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, the power distribution end, the power consumption end, and the 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 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 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 influence degree of the power consumption end on the power generation end in the analysis module is: ； Where: The degree of influence of the electricity consumption end on the power generation end; The daily power consumption of the electricity user; 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 of the power of the power generation equipment; Impact value for electricity users’ industry classification; 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 .

5. A collaborative management and control system based on source, grid, load and storage according to claim 4, characterized in that: The influence degree of the power consumption end on the power distribution end in the analysis module is: ； Where: The degree of influence of the power consumption end on the power distribution end; The daily power consumption of the electricity user; 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; For 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.

6. A collaborative management and control system based on source, grid, load and storage according to claim 5, characterized in that: The influence degree of the power consumption end on the energy storage end in the analysis module is: ； Where: The degree of influence of the electricity consumption end on the energy storage end; The daily power consumption of the electricity user; The maximum daily power consumption uploaded by the upload module; for ; The efficiency of electric energy use; The charging and discharging SOC interval size of the energy storage device; 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 device; The charging and discharging efficiency of energy storage equipment; 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.

7. The collaborative management and control system based on source, grid, load and storage according to claim 1 is characterized in that: The monitoring module monitors the operation of the real-time online power users in the power distribution network, that is, monitors the operation of the real-time online power users in the power distribution terminal; The real-time comprehensive risk identification logic of the power generation end, power distribution end, and energy storage end in the monitoring module is expressed as follows: ； 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; This is the operation to obtain the maximum value between brackets; is the influence degree of the i-th electricity user on the power generation end, power distribution end, and energy storage end; is the normalization factor; is the total number of electricity users; in, The larger it is, the higher the risk, and vice versa.

8. The collaborative management and control system based on source, grid, load and storage according to claim 1 is characterized in that: The monitoring module is provided with an operating frequency which is defined by the system end 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 to jump to the operation stage of the monitoring module; The determination module runs synchronously with the monitoring module, and the determination module completes a determination operation within the time domain between two consecutive operations of the monitoring module.

9. 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 weights for each power user, and sorts the power users in descending order based on the power user weight configuration results. When the judgment result is yes, the power user is selected at the rear position of the power user descending order result as the control target, and the power user is controlled to be disconnected from the power distribution network; Among them, the maintenance module controls the operation of disconnecting the power user from the power distribution network each time as a power user, and the maintenance module runs synchronously with the determination module. When the determination result of the continuous operation of the determination module is no, the power supply of all power users disconnected from the power distribution network is restored.

10. The collaborative management and control system based on source, grid, load and storage according to claim 1, 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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