Intelligent collaborative source-grid-load-storage operation management system

Abstract

This invention discloses an intelligent collaborative power generation, grid, load, and energy storage operation and management system, belonging to the field of power generation, grid, load, and energy storage management technology. It involves numbering and collecting information from power stations within a monitoring area, dividing the monitoring time period into time segments, analyzing the power supply volume of power stations within each time segment to predict the relationship between the power supply capacity and demand of each power station, establishing a power dispatch circle centered on the power station, analyzing the overall support capacity of the power dispatch circle for power stations with insufficient power supply capacity, issuing power shortage warnings based on trigger conditions, analyzing the overall status of power stations within the power dispatch circle when the power dispatch circle provides sufficient support, considering the number of power stations with insufficient power supply capacity, and providing suggestions for establishing new power stations, and providing energy storage locations and new power station construction locations when it is determined that the power dispatch circle needs to establish new power stations. This invention efficiently utilizes existing power resources through real-time analysis of supply and demand matching and support dispatch.

Description

Technical Field

[0001] This invention relates to the field of power generation, grid, load and storage management technology, specifically to a power generation, grid, load and storage operation management system based on intelligent collaboration. Background Technology

[0002] Traditional power supply management models suffer from weak information integration capabilities for power stations. They often only collect basic power supply data, failing to incorporate crucial information such as historical fault information and regional electricity consumption patterns into unified management. This results in an inability to effectively predict power supply capacity and actual demand at different times. Often, response efforts only begin after power shortages have already occurred, failing to detect potential power supply risks in advance. Consequently, frequent power outages occur, impacting not only users' daily electricity experience but also potentially harming areas requiring continuous power supply. This demonstrates a lack of proactive risk prevention and control mechanisms for power supply problems.

[0003] The existing power supply support and dispatch system lacks scientific support, with neither clear standards for defining the scope of support nor reasonable criteria for selecting support sites. When a power station experiences a power shortage, random requests for support are often made. This not only makes it difficult to quickly find a power station that can provide effective support, but may also increase power transmission losses by arbitrarily expanding the support scope, while also increasing dispatch costs. Furthermore, when support capacity is insufficient, the lack of standardized scope adjustment plans and timely early warning mechanisms leads to low efficiency in emergency support and makes it difficult to ensure the stability and continuity of power supply.

[0004] Traditional methods have significant shortcomings in the long-term operation and maintenance and planning of power supply networks. On the one hand, they fail to accurately identify vulnerable power stations that rely on long-term support, and maintenance work is often carried out reactively after a fault occurs, lacking targeted preventative maintenance, which leads to recurring faults at some power stations. On the other hand, when planning new power stations, the locations are not scientifically selected based on the distribution of weak power supply points in the area, which can easily result in a mismatch between new stations and actual needs. This can either lead to a waste of resources or an inability to effectively fill power supply gaps, resulting in insufficient overall resilience of the power supply network and difficulty in adapting to the dynamic changes in long-term electricity demand. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent collaborative source-grid-load-storage operation and management system to solve the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a source-grid-load-storage operation and management system based on intelligent collaboration, the system including: a power station information collection module, a power supply and demand forecasting module, a dispatch circle support analysis module, a support shortage adjustment and early warning module, a support sufficiency maintenance suggestion module, and a new power station location suggestion module;

[0007] The power station information collection module is used to number and collect information about power stations within the monitoring area;

[0008] The power supply and demand forecasting module is used to divide the monitoring time period into time periods, analyze the power supply of the power station for each time period, and thus predict the relationship between the power supply capacity of the power station and the power demand.

[0009] The dispatch circle support analysis module is used to establish a power dispatch circle centered on the power supply station, find supporting power supply stations for power supply stations with insufficient power supply capacity, and thus analyze the overall support capability of the power dispatch circle for power supply stations with insufficient power supply capacity.

[0010] The insufficient support adjustment and early warning module is used to adjust the power supply dispatch circle when the power supply dispatch circle provides insufficient support to the power supply station, and issue a power shortage early warning according to the triggering conditions.

[0011] The adequate support maintenance suggestion module is used to analyze the overall status of power stations within the power dispatch circle when the power dispatch circle provides sufficient support to power stations, to carry out maintenance on power stations with insufficient power supply capacity, and to provide suggestions for establishing new power stations, taking into account the number of power stations with insufficient power supply capacity.

[0012] The new power station location suggestion module is used to provide energy storage locations and new power station construction locations when determining the demand for establishing new power stations in the power dispatch circle.

[0013] Furthermore, after authorization, the power station information collection module collects information from the power stations within the monitoring area, obtains regional data on the power stations, and assigns numbers to the power stations within the monitoring area, numbering them as {A1, A2, ..., A...}. m ,…,A M}, where M represents the number of power stations within the monitoring area, A m Represents the m-th power supply station A within the monitoring area. m , m=1,2,…,M.

[0014] Furthermore, the power supply and demand forecasting module divides a monitoring period into time segments, dividing the entire year into N time segments, each segment having a duration of β. For any power supply station A... m Analyzing any time period α, power supply station A m The ideal power supply value is B m The power supply station A m The ideal value of power supply represents the power supply station A. m Given the power supply under fault-free conditions over a time period α, we can then obtain the ideal power supply values ​​of the M power supply stations in any given time period α: {B1, B2, ..., B...} m ,…,B M}, retrieve power station A from the power station area data. m Historical fault data, power supply station A m The number of historical fault types is E, and the average fault repair time for the e-th fault is D. e The average fault repair time for the e-th type of fault is the time taken by power supply station A in the historical fault data. m The average repair time for the e-th type of fault is obtained by substituting each value into e = 1, 2, ..., E, resulting in the average repair time {D1, D2, ..., D...} for the e-th type of fault. e ,…,D E}, call power station A m Historical fault data is used to obtain the fault occurrence frequency {C1, C2, ..., C} of type E faults. e ,…,C E}, where C e This represents the frequency of occurrence of the e-th type of fault, thus yielding the power supply station A. m The expected power supply F during time period α m :

[0015] ;

[0016] Then, substituting each value into m=1,2,…,M, we obtain the expected power supply of M power stations in time period α. The expected power supply of the M power stations in time period α is {F1,F2,…,F…} m ,…,F M}, retrieve the power demand {f1,f2,…,f} of M power stations in the power station area data during the time period α. m ,…,f M}, where f m This represents the power demand of the m-th power station in time period α. The power demand of the m-th power station in time period α represents the power output of the m-th power station in the most recent time period α within the power station area data. Comparing the expected power supply and the power demand, if F... m >(1+γ)×f m If the prediction is sufficient, then the m-th power supply station is determined to have sufficient power supply during time period α; otherwise, the m-th power supply station is determined to have insufficient power supply during time period α. This leads to the identification of G power supply stations predicted to have insufficient power supply during time period α, which are denoted as {H1, H2, ..., H...}. g ,…,H G}, where H gThis represents the m-th power station predicted to have insufficient power supply during time period α. The power supply and demand forecasting module can identify potential power shortages in a timely manner by analyzing the power supply capacity and demand in each time period in advance. This effectively avoids power outages caused by sudden power shortages, ensuring smooth power supply for all types of users, especially those in scenarios that rely on continuous power, and reducing economic losses and inconvenience caused by power outages. At the same time, by accurately matching supply and demand, the module can avoid blindly allocating power resources, reduce cross-regional power transmission losses, and eliminate the need for excessive reserves of emergency resources. This can significantly reduce the operating costs of power supply companies and make more efficient use of existing power resources. In addition, the module can also clearly identify the list of power shortage stations, providing a clear basis for subsequent targeted maintenance and resource replenishment, avoiding blind maintenance work, thereby improving the overall resilience of the power supply network and better adapting to long-term changes in power demand.

[0017] Furthermore, the dispatch circle support analysis module, for the time period α, analyzes the power supply stations {H1, H2, ..., H...} g ,…,H G} An analysis was conducted targeting power supply station H g Establish a power supply station H g The power supply dispatch circle centered on power station H g The power dispatch circle centered on the power supply station H includes power supply station H g Pre-set auxiliary power station, power station H g The preset auxiliary power supply stations are denoted as {J1, J2, ..., J...} k ,…,J K}, where K represents power supply station H g The number of pre-set auxiliary power stations, J k Indicates power supply station H g The k-th preset auxiliary power station, filter power station H g The preset assist power supply station is the power supply station that is predicted to have sufficient power supply in time period α as the power supply station H. g The system monitors the current energy storage capacity of any candidate auxiliary power station. If the current energy storage capacity of any candidate auxiliary power station is greater than the product of the power demand of that candidate auxiliary power station during time period α and the predetermined reserved energy percentage, then the candidate auxiliary power station is determined to be power station H. g The candidate auxiliary power station is determined to be either the supporting power station or, otherwise, the candidate auxiliary power station is determined not to be power station H. g Support power stations;

[0018] After analyzing and obtaining any supporting power station, calculate the power station H. g Any supporting power station to power station H g The available power capacity, any supporting power station to power station H gThe available supporting power is the difference between the current power storage of the supporting power station and the product of the power demand of the supporting power station and the predetermined percentage of reserved power, thus obtaining the power station H. g All supporting power stations to power station H g The total supported power Z, if (Z+F m )×(1-U)>(1+γ)×f m Determine the relationship between the power supply dispatch circle and the power supply station H. g Sufficient support; otherwise, determine the power supply dispatch circle's support for power station H. g In cases of insufficient support, the dispatch circle support analysis module can accurately match support resources to sites with insufficient power supply. It first filters pre-selected assistance sites with sufficient power supply, then strictly determines support eligibility based on stored power and reserved needs. This avoids resource waste or ineffective support caused by blind allocation, ensuring that sites with insufficient power supply can receive timely and appropriate power support, reducing the risk of power outages caused by a continuously expanding power gap, and guaranteeing stable power supply in the region. Simultaneously, the module accurately calculates and summarizes the available support power for each support site, avoiding power redundancy losses caused by excessive allocation of support resources, and accurately identifying whether support is sufficient. This prevents delays in power supply due to insufficient support, allowing existing power resources to be used efficiently in dispatch, reducing unreasonable costs of cross-site power allocation, further improving the overall operational efficiency and resilience of the power supply network, providing a reliable basis for subsequent adjustments to the dispatch scope, and contributing to more targeted and scientific power supply management.

[0019] Furthermore, if the power supply dispatch circle is related to power supply station H g Insufficient support necessitates adjusting the early warning module to temporarily expand the power supply dispatching area and continue monitoring power station H. g Analysis of support capabilities, up to the power supply dispatch circle for power station H g If support is sufficient or the diameter of the power dispatch circle exceeds the pre-set threshold, the diameter of the power dispatch circle will be restored after the time period α ends. If the diameter of the power dispatch circle exceeds the pre-set threshold, expansion of the power dispatch circle diameter will be suspended, triggering a power shortage warning and prompting management personnel to check the power status. The insufficient support adjustment warning module, when the dispatch circle is insufficient to support power-deficient sites, will continuously search for support by temporarily expanding the dispatch circle, fully exploring potential power resources, reducing the possibility of widening the power shortage, and ensuring stable power supply in the region. Simultaneously, the module sets an upper limit for the dispatch circle diameter to avoid resource waste and dispatch chaos caused by unlimited expansion. If support is still insufficient even after reaching the upper limit, a warning will be triggered in a timely manner, reminding management personnel to check the power status and prevent power outages due to processing delays, further improving the timeliness and reliability of power supply guarantee and providing effective support for power system emergency response.

[0020] Furthermore, if the power supply dispatch circle is related to power supply station Hg Sufficient support, sufficient support for maintenance recommendations, module calculation of power station H g The number of times the power station H was supported was used to obtain the power station H. g If the ratio of the number of times a power supply station H is supported to the number of time periods N within a monitoring period is less than or equal to a pre-set support ratio threshold, then the power supply station H is considered to be supported. g Within the power dispatching circle, it is not a weak power supply station; otherwise, determine that power supply station H is... g Within the power dispatch circle, weak power stations are identified, and their proportion is calculated. This proportion is the ratio of the number of weak power stations to the total number of power stations within the dispatch circle. If the proportion is less than or equal to a pre-set threshold, personnel are dispatched to inspect the weak power stations. If the proportion exceeds the threshold, a new power station is deemed necessary to support the dispatch circle. The maintenance suggestion module, by tracking the number of times a power station receives support, accurately identifies weak power stations that rely heavily on support, preventing blind maintenance and improving targeted repairs. When the proportion is low, targeted repairs are conducted to reduce resource waste; when the proportion is high, new stations are recommended to fundamentally address power supply deficiencies. This reduces power fluctuations caused by recurring weak station failures, allows for advance resource planning, ensures long-term network stability, enhances overall resilience, and makes power management more forward-looking and scientific.

[0021] Furthermore, when determining the need to establish new power stations within the power dispatching network, the new power station location suggestion module provides recommendations for the construction location of the new power station. The suggested location is the geometric center of the weak power stations within the power dispatching network. Before the new power station is completed, the geometric center will be used as the central energy storage location. If there is excess power supply from any power station within the power dispatching network, the excess power will be stored at the central energy storage location first. When a new power station needs to be built, the new power station location suggestion module will suggest the location at the geometric center of the weak power stations. This allows the new station to evenly cover all weak stations after it is put into operation, shortening the power supply distance, reducing power transmission losses, avoiding uneven coverage or resource waste due to improper site selection, and improving power supply efficiency. Before construction is completed, storing excess power at this central location allows for flexible allocation to weak stations, alleviating their power supply pressure, avoiding excess power waste, ensuring stable regional power supply during the transition period, and further enhancing the resilience of the power supply network and the rationality of resource utilization.

[0022] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: Firstly, it improves power supply stability and reduces the risk of power outages. The system comprehensively grasps the basic status and historical fault data of power stations through the power station information acquisition module, and accurately assesses the power supply capacity and demand at different times by combining it with the power supply and demand forecasting module, thus identifying stations that may experience power shortages in advance. This proactive assessment avoids power outages caused by sudden power shortages, ensuring stable power supply for various users within the monitoring area. It provides reliable support, especially for scenarios relying on continuous power supply, reducing economic losses and inconvenience caused by power outages.

[0023] On the one hand, it optimizes resource allocation and reduces power supply costs. The dispatch circle support analysis module establishes a dispatch network centered on weak sites, accurately selecting power supply stations with support capabilities, thus avoiding blind resource allocation; the insufficient support adjustment and early warning module only appropriately expands the dispatch scope when necessary, reducing unnecessary cross-regional power transmission losses and dispatch costs. At the same time, the system does not need to rely excessively on additional emergency resource reserves. Through scientific supply and demand matching and support dispatch, existing power supply resources are utilized efficiently, reducing the costs for power supply companies in terms of equipment redundancy configuration and emergency investment, and improving the overall efficiency of the power supply network.

[0024] On the other hand, it enhances network resilience and facilitates scientific long-term planning. The adequate maintenance suggestion module can promptly locate weak power stations that rely heavily on support, reducing recurring faults through targeted maintenance and improving the reliability of individual stations. The new power station location suggestion module determines reasonable construction locations based on the distribution of weak stations and plans corresponding energy storage facilities to ensure that new resources accurately compensate for network shortcomings. This end-to-end planning, from single-point maintenance to network optimization, makes the power supply network more resilient to long-term load changes and equipment aging, avoiding resource waste from blind construction, providing scientific guidance for the sustainable development of the power supply network, and adapting to dynamic changes in future electricity demand. Attached Figure Description

[0025] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0026] Figure 1 This is a structural diagram of an intelligent management system for adaptive graphics rendering according to the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Please see Figure 1 The present invention provides a technical solution: a source-grid-load-storage operation and management system based on intelligent collaboration, including: a power station information collection module, a power supply and demand forecasting module, a dispatch circle support analysis module, a support shortage adjustment early warning module, a support sufficiency maintenance suggestion module, and a new power station location suggestion module;

[0029] The power station information collection module is used to number and collect information about power stations within the monitoring area;

[0030] The power supply and demand forecasting module is used to divide the monitoring time period into time periods, analyze the power supply of power stations for each time period, and thus predict the relationship between the power supply capacity of power stations and the power demand.

[0031] The dispatch circle support analysis module is used to establish a power dispatch circle centered on the power supply station, find the supporting power supply station for the power supply station with insufficient power supply capacity, and thus analyze the overall support capability of the power dispatch circle for the power supply station with insufficient power supply capacity.

[0032] The insufficient support adjustment and early warning module is used to adjust the power supply dispatch circle when the power supply dispatch circle provides insufficient support to the power supply station, and issue a power shortage early warning according to the triggering conditions.

[0033] The "Sufficient Support Maintenance Suggestion" module is used to analyze the overall status of power stations within the power dispatch circle when there is sufficient support for power stations. It then performs maintenance on power stations with insufficient power supply capacity, and provides suggestions for establishing new power stations, taking into account the number of power stations with insufficient power supply capacity.

[0034] The new power station location suggestion module is used to provide energy storage locations and new power station construction locations when determining the needs of establishing new power stations in the power dispatch circle.

[0035] After authorization, the power station information acquisition module collects information from the power stations within the monitoring area, obtains regional data, and assigns numbers to the power stations within the monitoring area, designating them as {A1, A2, ..., A...}. m ,…,A M}, where M represents the number of power stations within the monitoring area, A m Represents the m-th power supply station A within the monitoring area. m , m=1,2,…,M.

[0036] The power supply and demand forecasting module divides a monitoring period into time segments, dividing the entire year into N time segments, each segment having a duration of β. For any power supply station A... m Analyzing any time period α, power supply station A m The ideal power supply value is B m The power supply station A m The ideal value of power supply represents the power supply station A. m Given the power supply under fault-free conditions over a time period α, we can then obtain the ideal power supply values ​​of the M power supply stations in any given time period α: {B1, B2, ..., B...} m ,…,B M}, retrieve power station A from the power station area data. m Historical fault data, power supply station A m The number of historical fault types is E, and the average fault repair time for the e-th fault is D. e The average fault repair time for the e-th type of fault is the time taken by power supply station A in the historical fault data. m The average repair time for the e-th type of fault is obtained by substituting each value into e = 1, 2, ..., E, resulting in the average repair time {D1, D2, ..., D...} for the e-th type of fault. e ,…,D E}, call power station A m Historical fault data is used to obtain the fault occurrence frequency {C1, C2, ..., C} of type E faults. e ,…,C E}, where C e This represents the frequency of occurrence of the e-th type of fault, thus yielding the power supply station A. m The expected power supply F during time period α m :

[0037] ;

[0038] Then, substituting each value into m=1,2,…,M, we obtain the expected power supply of M power stations in time period α. The expected power supply of the M power stations in time period α is {F1,F2,…,F…} m ,…,F M}, retrieve the power demand {f1,f2,…,f} of M power stations in the power station area data during the time period α. m ,…,f M}, where f m This represents the power demand of the m-th power station in time period α. The power demand of the m-th power station in time period α represents the power output of the m-th power station in the most recent time period α within the power station area data. Comparing the expected power supply and the power demand, if F... m>(1+γ)×f m If the prediction is sufficient, then the m-th power supply station is determined to have sufficient power supply during time period α; otherwise, the m-th power supply station is determined to have insufficient power supply during time period α. This leads to the identification of G power supply stations predicted to have insufficient power supply during time period α, which are denoted as {H1, H2, ..., H...}. g ,…,H G}, where H g This represents the m-th power station predicted to have insufficient power supply during time period α. The power supply and demand forecasting module can identify potential power shortages in a timely manner by analyzing the power supply capacity and demand in each time period in advance. This effectively avoids power outages caused by sudden power shortages, ensuring smooth power supply for all types of users, especially those in scenarios that rely on continuous power, and reducing economic losses and inconvenience caused by power outages. At the same time, by accurately matching supply and demand, the module can avoid blindly allocating power resources, reduce cross-regional power transmission losses, and eliminate the need for excessive reserves of emergency resources. This can significantly reduce the operating costs of power supply companies and make more efficient use of existing power resources. In addition, the module can also clearly identify the list of power shortage stations, providing a clear basis for subsequent targeted maintenance and resource replenishment, avoiding blind maintenance work, thereby improving the overall resilience of the power supply network and better adapting to long-term changes in power demand.

[0039] The dispatch circle support analysis module analyzes the power supply station {H1, H2, ..., H} for time period α. g ,…,H G} An analysis was conducted targeting power supply station H g Establish a power supply station H g The power supply dispatch circle centered on power station H g The power dispatch circle centered on the power supply station H includes power supply station H g Pre-set auxiliary power station, power station H g The preset auxiliary power supply stations are denoted as {J1, J2, ..., J...} k ,…,J K}, where K represents power supply station H g The number of pre-set auxiliary power stations, J k Indicates power supply station H g The k-th preset auxiliary power station, filter power station H g The preset assist power supply station is the power supply station that is predicted to have sufficient power supply in time period α as the power supply station H. g The system monitors the current energy storage capacity of any candidate auxiliary power station. If the current energy storage capacity of any candidate auxiliary power station is greater than the product of the power demand of that candidate auxiliary power station during time period α and the predetermined reserved energy percentage, then the candidate auxiliary power station is determined to be power station H. g The candidate auxiliary power station is determined to be either the supporting power station or, otherwise, the candidate auxiliary power station is determined not to be power station H.g Support power stations;

[0040] After analyzing and obtaining any supporting power station, calculate the power station H. g Any supporting power station to power station H g The available power capacity, any supporting power station to power station H g The available supporting power is the difference between the current power storage of the supporting power station and the product of the power demand of the supporting power station and the predetermined percentage of reserved power, thus obtaining the power station H. g All supporting power stations to power station H g The total supported power Z, if (Z+F m )×(1-U)>(1+γ)×f m Determine the relationship between the power supply dispatch circle and the power supply station H. g Sufficient support; otherwise, determine the power supply dispatch circle's support for power station H. g In cases of insufficient support, the dispatch circle support analysis module can accurately match support resources to sites with insufficient power supply. It first filters pre-selected assistance sites with sufficient power supply, then strictly determines support eligibility based on stored power and reserved needs. This avoids resource waste or ineffective support caused by blind allocation, ensuring that sites with insufficient power supply can receive timely and appropriate power support, reducing the risk of power outages caused by a continuously expanding power gap, and guaranteeing stable power supply in the region. Simultaneously, the module accurately calculates and summarizes the available support power for each support site, avoiding power redundancy losses caused by excessive allocation of support resources, and accurately identifying whether support is sufficient. This prevents delays in power supply due to insufficient support, allowing existing power resources to be used efficiently in dispatch, reducing unreasonable costs of cross-site power allocation, further improving the overall operational efficiency and resilience of the power supply network, providing a reliable basis for subsequent adjustments to the dispatch scope, and contributing to more targeted and scientific power supply management.

[0041] If the power supply dispatch circle is for power supply station H g Insufficient support necessitates adjusting the early warning module to temporarily expand the power supply dispatching area and continue monitoring power station H. g Analysis of support capabilities, up to the power supply dispatch circle for power station H gIf support is sufficient or the diameter of the power dispatch circle exceeds the pre-set threshold, the diameter of the power dispatch circle will be restored after the time period α ends. If the diameter of the power dispatch circle exceeds the pre-set threshold, expansion of the power dispatch circle diameter will be suspended, triggering a power shortage warning and prompting management personnel to check the power status. The insufficient support adjustment warning module, when the dispatch circle is insufficient to support power-deficient sites, will continuously search for support by temporarily expanding the dispatch circle, fully exploring potential power resources, reducing the possibility of widening the power shortage, and ensuring stable power supply in the region. Simultaneously, the module sets an upper limit for the dispatch circle diameter to avoid resource waste and dispatch chaos caused by unlimited expansion. If support is still insufficient even after reaching the upper limit, a warning will be triggered in a timely manner, reminding management personnel to check the power status and prevent power outages due to processing delays, further improving the timeliness and reliability of power supply guarantee and providing effective support for power system emergency response.

[0042] If the power supply dispatch circle is for power supply station H g Sufficient support, sufficient support for maintenance recommendations, module calculation of power station H g The number of times the power station H was supported was used to obtain the power station H. g If the ratio of the number of times a power supply station H is supported to the number of time periods N within a monitoring period is less than or equal to a pre-set support ratio threshold, then the power supply station H is considered to be supported. g Within the power dispatching circle, it is not a weak power supply station; otherwise, determine that power supply station H is... g Within the power dispatch circle, weak power stations are identified, and their proportion is calculated. This proportion is the ratio of the number of weak power stations to the total number of power stations within the dispatch circle. If the proportion is less than or equal to a pre-set threshold, personnel are dispatched to inspect the weak power stations. If the proportion exceeds the threshold, a new power station is deemed necessary to support the dispatch circle. The maintenance suggestion module, by tracking the number of times a power station receives support, accurately identifies weak power stations that rely heavily on support, preventing blind maintenance and improving targeted repairs. When the proportion is low, targeted repairs are conducted to reduce resource waste; when the proportion is high, new stations are recommended to fundamentally address power supply deficiencies. This reduces power fluctuations caused by recurring weak station failures, allows for advance resource planning, ensures long-term network stability, enhances overall resilience, and makes power management more forward-looking and scientific.

[0043] When determining the need to establish a new power station within the power dispatching network, the new power station location suggestion module provides recommendations for its construction location. The suggested location is the geometric center of the weak-point power stations within the dispatching network. Before the new power station is completed, this geometric center will serve as the central energy storage location. If there is excess power from any existing power station within the dispatching network, this excess power will be prioritized for storage at the central energy storage location. The new power station location suggestion module recommends the location at the geometric center of the weak-point power stations when a new power station is to be built. This ensures that the new station, once operational, provides even coverage to all weak-point stations, shortens power transmission distances, reduces power transmission losses, avoids uneven coverage or resource waste due to improper site selection, and improves power supply efficiency. Before construction is completed, storing excess power at this central location allows for flexible allocation to weak-point stations, alleviating their power supply pressure, preventing excess power waste, ensuring stable regional power supply during the transition period, and further enhancing the resilience of the power grid and the rationality of resource utilization.

[0044] Example 1: Application steps of the intelligent collaborative power generation, grid, load and storage operation management system. First, the system is authorized to conduct comprehensive information collection on the power supply stations in the monitoring area, collecting basic information such as the location distribution of each station, equipment model, historical operation data, and fault records. At the same time, a unique identifier is assigned to each station to realize the systematic management of all power supply stations in the area, providing a complete data foundation for subsequent analysis.

[0045] The annual monitoring period is divided into several equal time periods, and the power supply capacity of each power station is analyzed for each time period. First, the ideal power supply of each station under fault-free conditions is determined. Then, combined with its historical fault information, the types of faults that have occurred, the average repair time of each type of fault, and the frequency of occurrence are sorted out to comprehensively calculate the actual expected power supply of each station in the corresponding time period. At the same time, the historical power demand data of each station in the same time period is extracted, and the expected power supply is compared with the demand to determine which stations may experience power shortages in that time period, forming a list of power shortage stations.

[0046] For sites on the list with insufficient power supply, an initial power dispatch circle is established centered on each site, containing pre-defined auxiliary power supply stations. From these auxiliary sites, sites with sufficient power supply during the corresponding time period are selected as candidate support stations. The current power storage capacity of the candidate stations is then checked, and only sites with power storage capacity exceeding the product of their own needs and the reserved ratio are listed as valid support stations. The power supply that each support station can provide is calculated, and the total support is then used to determine whether it can meet the needs of the insufficient sites.

[0047] If the total support capacity of the dispatch circle is insufficient to meet the needs of the insufficient sites, the system will temporarily expand the dispatch circle and continue to search for sites that can be supported until the support capacity is sufficient or the preset range limit is reached. If the demand still cannot be met even after reaching the limit, a power shortage warning will be triggered immediately, prompting administrators to check the system status in a timely manner; when the period ends, the dispatch circle range will automatically return to its initial state.

[0048] When the dispatch network provides sufficient support, the number of times each insufficient site receives support throughout the monitoring period is counted. If the frequency of support exceeds a preset proportion, it is marked as a weak site that relies on support in the long term. The proportion of weak sites within the network is calculated. If the proportion is lower than a preset standard, personnel are arranged to carry out targeted maintenance on these weak sites; if the proportion is too high, it is determined that a new power supply station needs to be built to improve the overall power supply capacity.

[0049] If a new power station is deemed necessary, the system will consider the distribution of all vulnerable sites within the coverage area and select its geometric center as the recommended construction location to ensure that the new station can evenly cover all vulnerable areas. Before the new station is built, this central location will serve as a temporary energy storage point. If any site within the coverage area has excess power, the excess power will be stored here first to ensure stable power supply during the transition period.

[0050] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary sensing device embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A source-grid-load-storage operation and management system based on intelligent collaboration, characterized in that: The system includes: a power station information collection module, a power supply and demand forecasting module, a dispatch circle support analysis module, a support shortage adjustment early warning module, a support sufficiency maintenance suggestion module, and a new power station location suggestion module. The power station information collection module is used to number and collect information about power stations within the monitoring area; The power supply and demand forecasting module is used to divide the monitoring time period into time periods, analyze the power supply of the power station for each time period, and thus predict the relationship between the power supply capacity of the power station and the power demand. The dispatch circle support analysis module is used to establish a power dispatch circle centered on the power supply station, find supporting power supply stations for power supply stations with insufficient power supply capacity, and thus analyze the overall support capability of the power dispatch circle for power supply stations with insufficient power supply capacity. The insufficient support adjustment and early warning module is used to adjust the power supply dispatch circle when the power supply dispatch circle provides insufficient support to the power supply station, and issue a power shortage early warning according to the triggering conditions. The adequate support maintenance suggestion module is used to analyze the overall status of power stations within the power dispatch circle when the power dispatch circle provides sufficient support to power stations, to carry out maintenance on power stations with insufficient power supply capacity, and to provide suggestions for establishing new power stations, taking into account the number of power stations with insufficient power supply capacity. The new power station location suggestion module is used to provide energy storage locations and new power station construction locations when determining the needs of establishing new power stations in the power dispatch circle; The power supply and demand forecasting module divides a monitoring period into time segments, dividing the entire year into N time segments, each segment having a duration of β. For any power supply station A... m Analyzing any time period α, power supply station A m The ideal power supply value is B m The power supply station A m The ideal value of power supply represents the power supply station A. m Given the power supply under fault-free conditions over a time period α, we can then obtain the ideal power supply values ​​of the M power supply stations in any given time period α: {B1, B2, ..., B...} m ,…,B M }, retrieve power station A from the power station area data. m Historical fault data, power supply station A m The number of historical fault types is E, and the average fault repair time for the e-th fault is D. e The average fault repair time for the e-th type of fault is the time taken by power supply station A in the historical fault data. m The average repair time for the e-th type of fault is obtained by substituting each value into e = 1, 2, ..., E, resulting in the average repair time {D1, D2, ..., D...} for the e-th type of fault. e ,…,D E }, call power station A m Historical fault data is used to obtain the fault occurrence frequency {C1, C2, ..., C} of type E faults. e ,…,C E }, where C e This represents the frequency of occurrence of the e-th type of fault, thus yielding the power supply station A. m The expected power supply F during time period α m : ； Then, substituting each value into m=1,2,…,M, we obtain the expected power supply of M power stations in time period α. The expected power supply of the M power stations in time period α is {F1,F2,…,F…} m ,…,F M }, retrieve the power demand {f1,f2,…,f} of M power stations in the power station area data during the time period α. m ,…,f M }, where f m This represents the power demand of the m-th power station in time period α. The power demand of the m-th power station in time period α represents the power output of the m-th power station in the most recent time period α within the power station area data. Comparing the expected power supply and the power demand, if F... m >(1+γ)×f m If the prediction is sufficient, then the m-th power supply station is determined to have sufficient power supply during time period α; otherwise, the m-th power supply station is determined to have insufficient power supply during time period α. This leads to the identification of G power supply stations predicted to have insufficient power supply during time period α, which are denoted as {H1, H2, ..., H...}. g ,…,H G }, where H g This represents the m-th power station predicted to have insufficient power supply during time period α; After analyzing and obtaining any supporting power station, calculate the power station H. g Any supporting power station to power station H g The available power capacity, any supporting power station to power station H g The available supporting power is the difference between the current power storage of the supporting power station and the product of the power demand of the supporting power station and the predetermined percentage of reserved power, thus obtaining the power station H. g All supporting power stations to power station H g The total supported power Z, if (Z+F m )×(1-U)>(1+γ)×f m Determine the relationship between the power supply dispatch circle and the power supply station H. g Sufficient support; otherwise, determine the power supply dispatch circle's support for power station H. g Insufficient support.

2. The intelligent collaborative source-grid-load-storage operation management system according to claim 1, characterized in that: After authorization, the power station information acquisition module collects information from the power stations within the monitoring area, obtains regional data, and assigns numbers to the power stations within the monitoring area, designating them as {A1, A2, ..., A...}. m ,…,A M }, where M represents the number of power stations within the monitoring area, A m Represents the m-th power supply station A within the monitoring area. m , m=1,2,…,M.

3. The intelligent collaborative source-grid-load-storage operation management system according to claim 2, characterized in that: The dispatch circle support analysis module analyzes the power supply station {H1, H2, ..., H} for time period α. g ,…,H G } An analysis was conducted targeting power supply station H g Establish a power supply station H g The power supply dispatch circle centered on power station H g The power dispatch circle centered on the power supply station H includes power supply station H g Pre-set auxiliary power station, power station H g The preset auxiliary power supply stations are denoted as {J1, J2, ..., J...} k ,…,J K }, where K represents power supply station H g The number of pre-set auxiliary power stations, J k Indicates power supply station H g The k-th preset auxiliary power station, filter power station H g The preset assist power supply station is the power supply station that is predicted to have sufficient power supply in time period α as the power supply station H. g The system monitors the current energy storage capacity of any candidate auxiliary power station. If the current energy storage capacity of any candidate auxiliary power station is greater than the product of the power demand of that candidate auxiliary power station during time period α and the predetermined reserved energy percentage, then the candidate auxiliary power station is determined to be power station H. g Support power stations; Otherwise, determine that the candidate auxiliary power station is not power station H. g Support power stations.

4. The source-grid-load-storage operation management system based on intelligent collaboration according to claim 3, characterized in that: If the power supply dispatch circle is for power supply station H g Insufficient support necessitates adjusting the early warning module to temporarily expand the power supply dispatching area and continue monitoring power station H. g Analysis of support capabilities, up to the power supply dispatch circle for power station H g Sufficient support is provided until the diameter of the power dispatch circle exceeds the preset power dispatch circle diameter threshold. After the time period α ends, the diameter of the power dispatch circle is restored. If the diameter of the power dispatch circle exceeds the preset power dispatch circle diameter threshold, the expansion of the power dispatch circle diameter is suspended, triggering a power shortage warning and prompting management personnel to check the power status.

5. The intelligent collaborative source-grid-load-storage operation management system according to claim 4, characterized in that: If the power supply dispatch circle is for power supply station H g Sufficient support, sufficient support for maintenance recommendations, module calculation of power station H g The number of times the power station H was supported was used to obtain the power station H. g If the ratio of the number of times a power supply station H is supported to the number of time periods N within a monitoring period is less than or equal to a pre-set support ratio threshold, then the power supply station H is considered to be supported. g It is not a weak power supply station within the power supply dispatching area; Otherwise, determine the power supply station H. g Within the power supply dispatch circle, weak power supply stations are identified, and the proportion of weak power supply stations within the power supply dispatch circle is obtained. The proportion of weak power supply stations is the ratio of the number of weak power supply stations to the number of power supply stations within the power supply dispatch circle. If the proportion of weak power supply stations is less than or equal to a pre-set threshold, responsible personnel are dispatched to inspect the weak power supply stations. If the proportion of weak power supply stations is greater than the pre-set threshold, it is determined that a new power supply station needs to be established within the power supply dispatch circle.

6. The intelligent collaborative source-grid-load-storage operation management system according to claim 5, characterized in that: When determining the need to establish a new power station in the power supply dispatch circle, the new power station location suggestion module provides suggestions on the construction location of the new power station. The suggested location is the geometric center of the weak power station in the power supply dispatch circle. Before the construction of the new power station is completed, the geometric center location is used as the central energy storage location. If there is excess power supply in the power supply dispatch circle, the excess power supply is stored in the central energy storage location first.

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