Optimization method for power supply of air conditioning system with light energy storage

Abstract

This invention relates to the field of power supply dispatching technology, specifically to a power supply optimization method for an air conditioning system using solar energy storage. The method includes the following steps: obtaining the regional power supply startup sequence and energy storage response time; extracting power input nodes; analyzing the relationship between power paths, energy storage, and air conditioning power consumption; determining cooling load interruptions and airflow misalignments; screening accessible paths; configuring channel power supply correlation; and constructing an air conditioning power supply path scheme. In this invention, by identifying energy storage response delays and power input rhythms, a dynamic access logic for power supply paths is established. Combined with cooling load continuity and airflow release offsets, the time-period matching of airflow coverage and cooling demand is achieved. Power supply paths with time matching and coverage are screened in disconnected areas. Path relationships are configured based on path output performance and operating rhythm, promoting synchronous coordination between cooling load response and energy storage power supply during switching processes, and enhancing the coherence of path dispatching and the cooling stability of the air conditioning system.

Description

Technical Field

[0001] This invention relates to the field of power supply dispatching technology, and in particular to a method for optimizing the power supply of an air conditioning system with solar energy storage. Background Technology

[0002] The field of power supply dispatching technology involves the orderly coordination and control of power sources, loads, and energy-consuming equipment in a power system. Its core aspects include power load forecasting, energy supply management, energy storage resource allocation, and energy consumption dispatching strategy formulation. This field collects environmental parameters, historical electricity consumption data, and user behavior information, combined with time series processing methods, to forecast electricity demand and accordingly arrange power supply plans and energy storage discharge schedules to ensure stable power system operation and improve energy efficiency. One traditional method for optimizing air conditioning system power supply using solar energy storage involves using electricity generated by solar photovoltaic power generation technology, which is then converted and stored to power the air conditioning system. This method typically involves acquiring meteorological data, such as temperature, humidity, and solar irradiance, and combining this with energy consumption behavior information within office areas, such as weekday overtime schedules, to construct a cooling load forecasting model to determine the electricity demand of the air conditioning system, and then formulating energy storage schedules and power release plans accordingly.

[0003] Existing technologies focus on building load forecasting models based on static parameters, mainly relying on meteorological conditions and user behavior information to determine the level of electricity demand. In actual operation, they lack real-time tracking of the response behavior of energy storage paths and cannot make linkage judgments on the access rhythm and cooling supply status between paths. This leads to a lag in cooling load response during path switching, especially in scenarios with short-term high-frequency load fluctuations or supply and demand mismatches. The air volume release area cannot cover the cooling demand area in time, resulting in local cooling capacity loss and ventilation deviation, which limits the effective access capability of energy storage paths and further affects the continuity of channel configuration and the dynamic adaptability of the air conditioning system. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides a method for optimizing the power supply of an air conditioning system with solar energy storage, comprising the following steps:

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a power supply optimization method for a solar energy storage air conditioning system, comprising the following steps:

[0006] S1: Obtain the power supply startup sequence of the region in the photovoltaic array, identify the region's energy storage response time, extract the power input node, analyze the relationship between the path and energy storage response and air conditioning power interface under different time conditions, and obtain the energy storage path sequence information;

[0007] S2: Based on the energy storage path sequence information, extract the heat exchange unit operation change data, analyze the continuity of temperature drop and condensate flow rate, track the power supply path output performance, determine whether the cooling load is interrupted, and obtain path switching behavior data.

[0008] S3: Based on the path switching behavior data, extract the operating status and air volume release time period before and after the fan switching, identify the air volume signal coverage area, determine the matching between the fan response and the cooling demand, and obtain the cooling load supplementary cooling operation content.

[0009] S4: Based on the aforementioned cooling load replenishment operation, select accessible paths from energy storage paths that have never received power, compare access times and ventilation cycles, analyze the path output coverage and response capabilities, and obtain a scheduling scheme for the replenishment power supply path.

[0010] S5: Based on the scheduling scheme of the supplementary power supply path, analyze the power supply coverage sequence of the main and backup paths, identify the path connection direction and operating segment, deduce the power supply correlation between the access node and the path, and obtain the air conditioning power supply path optimization scheme.

[0011] As a further aspect of the present invention, the energy storage path sequence information includes power supply startup sequence, power-on response time, power input nodes, path response behavior, power input sequence, and the correspondence between power supply channels and air conditioning power interfaces. The path switching behavior data includes cold load response interruption status, main power supply path changes, backup path response status, fan operation status, air volume release time period, air volume signal coverage area, and control paths for air volume disconnection areas. The cold load supplementary cooling operation content includes a list of unexecuted power supply paths, accessible path screening results, output coverage area, and supplementary path number. The supplementary power supply path scheduling scheme includes the main and backup path coverage sequence, path connection direction, path operation time period, path output status, and the correlation between access nodes and path power supply. The air conditioning power supply path optimization scheme includes path number, path distribution area, path connection structure, and power supply timing control scheme.

[0012] As a further aspect of the present invention, the heat exchange unit operation change data refers to the synchronous response relationship between the temperature change trend of the evaporator and the heat exchange unit and the condensate flow rate during the power supply of the energy storage path. The operating status is analyzed by matching the temperature drop range with the condensate flow rate fluctuation.

[0013] The continuity of condensate flow rate refers to whether the condensate flow rate remains consistent with the temperature drop and fluctuates continuously during cold load operation, thus determining the stability of the air conditioner under differentiated path power-on conditions.

[0014] As a further aspect of the present invention, the air volume signal coverage range refers to whether the synchronization of the fan's operating status changes before and after power-on with the air volume release time covers the time period of cooling demand in the air-conditioned area.

[0015] The accessible path refers to an energy storage power supply path that does not provide power during the time period but overlaps with the ventilation time of the target area and can supplement the cooling capacity.

[0016] As a further aspect of the present invention, the specific steps of S1 are as follows:

[0017] S101: Obtain the power supply startup sequence of the regions in the photovoltaic array, monitor the changes in the power-on response after the region is connected to energy storage, extract the energy storage connection time and region index value, and obtain the energy storage power-on response feature sequence by corresponding to the difference between the response time and the region location.

[0018] S102: Based on the energy storage power-on response feature sequence, extract the position parameters and response times of the power input nodes at the same time, determine the difference in response order between nodes, extract the power-on sequence relationship between paths, and obtain the path time-series topology information set.

[0019] S103: Based on the path time-series topology information set, retrieve the connection parameters between the output node of the path terminal and the air conditioning power interface, compare the connection relationship between the output path and the interface, and obtain the energy storage path sequence information.

[0020] As a further aspect of the present invention, the specific steps of S2 are as follows:

[0021] S201: Based on the energy storage path sequence information, retrieve the temperature data frame and condensate flow rate data frame of the evaporator heat exchange unit during the power supply path of the differentiated power supply path, perform interval matching on the flow rate change in the temperature drop interval, and compare the drop gradient and flow rate fluctuation trend in the continuous time period to obtain the temperature flow rate correlation feature set.

[0022] S202: Based on the temperature-flow rate correlation feature set, extract the output parameter sequence of the current power supply path within the time period, the corresponding path output interruption segment and cold load response state logic, identify the path number and time period range that do not have continuous response characteristics, and obtain the cold load response interruption segment index set.

[0023] S203: Based on the cold load response interruption segment index set, filter the main power supply path number and the backup path response time period, bidirectionally judge the state change of the path number within the corresponding time period, extract the path item that has both output decrease and backup activation characteristics during the switching period, and obtain path switching behavior data.

[0024] As a further aspect of the present invention, the specific steps of S3 are as follows:

[0025] S301: Based on the path switching behavior data, extract the operating status data frames and air volume release time period index of the fan before and after switching, filter the operating status curve during the power-on period of the fan and the air volume output value of the corresponding time period, match the fan operation change data segment and release time range, and obtain the air volume output coverage feature set.

[0026] S302: Based on the air volume output coverage feature set, extract the spatial number of the current air conditioning cooling area and the time period of cooling demand in the area, perform location indexing and time comparison between the air volume release time range and the cooling demand period, determine whether there are area numbers with inconsistent response timing, and obtain the air volume response misalignment number set.

[0027] S303: Based on the set of misaligned airflow response numbers, locate the control path index corresponding to the number, filter the path number and the air conditioning interface connection parameters, compare the state changes of the path and the interface during the cooling load output process, extract the path item with discontinuous airflow response characteristics, and obtain the cooling load supplementary cooling operation content.

[0028] As a further aspect of the present invention, the specific steps of S4 are as follows:

[0029] S401: Based on the cooling load replenishment operation content, filter the energy storage paths that are not currently being powered, extract the access time parameters and path numbers of the paths, compare the access time interval with the ventilation time interval index of the area to be replenished, remove the path numbers that are not in the time overlap interval, and obtain the set of accessible path indexes.

[0030] S402: Call the accessible path index set, extract the output power frame and area coverage number of the path in the corresponding time period, cross-compare the output segment and cooling capacity gap area number in the power frame, filter the path numbers that can be locally supplemented with cooling capacity, and obtain a list of cooling capacity response path numbers.

[0031] S403: Based on the list of cooling response path numbers, extract the order of the corresponding paths on the timeline, insert sequence numbers into the path numbers and the original path sequence, establish a path linked list structure arranged according to the response priority relationship, and obtain the scheduling scheme of the supplementary power supply path.

[0032] As a further aspect of the present invention, the process of comparing the access time interval with the ventilation time interval index of the area to be cooled specifically involves: after converting the format of the access time parameter of the path, comparing the segment corresponding to the time parameter with the ventilation time interval index one by one, and removing the path number that is not in the time overlap segment.

[0033] The process of filtering path numbers that can be locally supplemented with cooling capacity is as follows: by reading the output power change in the output power frame, the range of the number of the cooling capacity gap area covered by the output segment is judged, and the path numbers with cooling capacity are extracted as the contents of the cooling capacity response path number list.

[0034] The process of inserting serial numbers into the path number and the original path sequence is as follows: according to the access time parameter order of the path in the cold response path number list, insert the serial number into the corresponding position in the original path sequence, and exclude duplicate path numbers that have already appeared.

[0035] As a further aspect of the present invention, the specific steps of S5 are as follows:

[0036] S501: Based on the scheduling scheme of the supplementary power supply path, extract the path number and power supply time period data frame of the main power supply path and the backup path, retrieve the output time sequence of the path in the cold load partition, match the cross correspondence between the path number and the partition number, and obtain the path coverage order comparison set.

[0037] S502: Based on the path coverage sequence comparison set, extract the node output direction and the corresponding cold load area number of the path, extract the path running time segment and control timing parameters, determine the time activity range of the output node in the control sequence, and aggregate the direction information and time segment information to obtain the power supply path output parameter group.

[0038] S503: Call the power supply path output parameter group, retrieve the corresponding access node index value and path number, extract the path belonging relationship of the node in the control time sequence, analyze the power supply correspondence status between the path and the node, and obtain the air conditioner power supply path optimization scheme.

[0039] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0040] In this invention, by identifying the energy storage response delay and power input rhythm, a dynamic access logic for the power supply path is established. By combining the continuity of the cooling load and the air volume release offset, the time period matching of the air volume coverage status and the cooling demand is completed. In the disconnected area, power supply paths with time matching and coverage are selected. The path relationship is configured according to the path output performance and operating rhythm, promoting the synchronous coordination of cooling load response and energy storage power supply during the switching process, and enhancing the continuity of path scheduling and the cooling stability of the air conditioning system. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the steps of the present invention. Detailed Implementation

[0043] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0044] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0045] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0046] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0047] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0048] Please see Figure 1 This invention provides a method for optimizing the power supply of an air conditioning system using solar energy storage, comprising the following steps:

[0049] S1: Obtain the power supply startup sequence of the region in the photovoltaic array, identify the power-on response time after the region is connected to energy storage, extract the power input nodes at the same time, analyze the relationship between the paths according to the power input sequence based on the response behavior of the path and the energy storage at different time points, analyze the connection between the power supply channel and the air conditioning power interface to determine the corresponding relationship, and obtain the energy storage path sequence information.

[0050] S2: Based on the energy storage path sequence information, retrieve the operation change data of the evaporator heat exchange unit, analyze the continuity between the temperature drop stage and the condensate flow rate, track the output performance of the current power supply path in the differentiated time period, determine whether the cooling load has a response interruption in the corresponding time period, identify the change behavior of the main power supply path and the response of the backup path, and obtain path switching behavior data.

[0051] S3: Based on path switching behavior data, retrieve the operating status and air volume release time period of the fan before and after switching, identify whether the air volume signal covers the current air conditioning cooling area, determine whether there is a time misalignment between the fan working response and the cooling demand, locate the control path of the air volume disconnection area, and obtain the cooling load supplementary cooling operation content.

[0052] S4: Based on the cooling load supplementary cooling operation content, select the available power supply path from the energy storage path that is not currently supplying power, compare the access time and ventilation cycle of each path, analyze the output coverage of the selected path in the corresponding time period, and after determining that it can respond to the cooling demand of the area with insufficient cooling capacity, add the corresponding number to the path sequence to obtain the scheduling scheme of the supplementary power supply path.

[0053] S5: Based on the scheduling scheme of the supplementary power supply path, the power supply coverage sequence between the main path and the backup path is compared and analyzed. The connection direction and operating time period of the path in the cold load zone are identified. The output status of the path is followed according to the current control sequence. The power supply correlation between the access node and the corresponding path is deduced to obtain the air conditioning power supply path optimization scheme.

[0054] The energy storage path sequence information includes power supply startup sequence, power-on response time, power input nodes, path response behavior, power input sequence, and the correspondence between power supply channels and air conditioning power interfaces. Path switching behavior data includes cold load response interruption status, changes in the main power supply path, backup path response status, fan operation status, air volume release time period, air volume signal coverage area, and control paths for air volume disconnection areas. Cold load supplementary cooling operation content includes a list of unexecuted power supply paths, accessible path screening results, output coverage area, and supplementary path number. The supplementary power supply path scheduling scheme includes the main and backup path coverage sequence, path connection direction, path operation time period, path output status, and the correlation between access nodes and path power supply. The air conditioning power supply path optimization scheme includes path number, path distribution area, path connection structure, and power supply timing control scheme.

[0055] The specific steps of S1 are as follows:

[0056] S101: Obtain the power supply startup sequence of the regions in the photovoltaic array, monitor the changes in the power-on response after the region is connected to energy storage, extract the energy storage connection time and region index value, and obtain the energy storage power-on response feature sequence by corresponding to the difference between the response time and the region location.

[0057] First, the initial configuration table of the photovoltaic array is extracted according to the region number. The status fields of the power supply control terminal corresponding to each number are separated. Then, the items marked "pre-connection" in the status fields are used as the initial screening condition. The energy storage path numbers connected to each region are listed sequentially. For each energy storage path number, the status code marked as the first power-on in its power supply status change data frame is called item by item. The power-on response identifier of the path is extracted from the data frame corresponding to the status code. Combined with the index marked by the region number, the power-on response identifiers of all paths are deduplicated. Then, aggregation matching is performed according to the correspondence of region numbers to determine whether there is cross-power-on phenomenon of path numbers. If so, the region index is offset to remove the cross-duplicate region path numbers to ensure that each region is bound to only one energy storage response path. Then, the current increase change value of the first power-on in the bound path of each region is extracted to determine whether the current value exceeds the current response benchmark value. If it exceeds, it is considered as a storage path. If the power-on response behavior is valid, and the condition is not exceeded, the next state code segment is read until the condition is met. The current response benchmark value is a fixed proportional coefficient multiplied by the maximum rated current corresponding to the path in the initialization configuration table. For example, if the rated current is 140 and the response benchmark coefficient is 0.35, then the current response benchmark value is 49. The current increase in the current code segment must be greater than this value to be considered as a valid power-on response. If the current value of a path does not meet the threshold in multiple consecutive state segments, the path is marked as a non-response path and removed from the regional path pool. Subsequently, the power-on response identifiers corresponding to all paths marked as valid responses are sequentially numbered, and the numbering results are associated with the regional index values. Finally, the power-on response sequence is sorted according to the difference between the power-on response sequence and the physical distribution of the regional location within the photovoltaic array. The difference relationship between the regional location offset and the power-on response number is extracted, and after numbering and mapping operations are performed on this relationship, the energy storage power-on response feature sequence is obtained.

[0058] S102: Based on the energy storage power-on response feature sequence, extract the position parameters and response time of the power input node at the same time, determine the difference in response order between nodes, extract the power-on sequence relationship between paths, and obtain the path time-series topology information set.

[0059] First, extract the power input node number, node physical location index, and power-on response time for each energized path in the sequence at the same time. Then, sequentially retrieve the data frames corresponding to each path according to the node number. By comparing the values ​​recorded in the response time field, split the power input behavior of multiple paths within the same time segment. Divide all nodes with power injection behavior within that time segment into independent node response record items, recording the response order of each node within the time segment. Next, compare the time differences between nodes pairwise. If the response time of one path is earlier than another path, and the difference exceeds the energized response baseline interval, it is determined to be the path that energizes first. The energized response baseline interval is set to 2 units of time. When the response time interval between any two nodes is less than this value, they are grouped into the same response segment, and a second judgment is made based on the physical location index value, prioritizing the smaller location index. For example, if path A has a response time of 12 and path B has a response time of 13, with an interval of 1, they belong to the same segment. If path A's position is 08 and path B's position is 06, then path B is determined to have priority over path A. Then, the response relationships between all paths are sequentially compared and the power-on sequence of each path number is output. Subsequently, the source and end numbers of each powered path are called to correct the path's position in the response order. Combined with the physical coordinates of the nodes, it is determined whether there is an intersection area between the paths. If so, the path numbers are corrected by backtracking from the end of the path to the intersection position, removing the node numbers of the intersection part, and updating the path response sorting table. Finally, the path numbers, response order, and node position relationships are merged into the sorting table, and the response positions of each path before and after the response, as well as the response segment number and sorting number of the corresponding access node, are output to obtain the path temporal topology information set.

[0060] S103: Based on the path time sequence topology information set, retrieve the connection parameters between the output node of the path terminal and the air conditioning power interface, compare the connection relationship between the output path and the interface, and obtain the energy storage path sequence information;

[0061] First, extract the terminal node number and the output port parameter bound to that node for each path. Then, call the interface allocation table of the output port in the air conditioning power network to screen the link relationship between the physical connection channel number and the interface number of the output port. Read the interface node location index pointed to by the channel number field and compare it item by item with the access list of air conditioning power interfaces. If there is a direct mapping relationship between the output node number and the interface number, the path is determined to be a one-to-one correspondence path. If the output node corresponds to multiple interface numbers, it is necessary to further determine the order number of the path's terminal in the power-on response sequence. Prioritize selecting the path with the highest order number as the primary mapping path, and mark the other path numbers as paths to be determined. Then, compare the interface access numbers corresponding to these paths to be determined in parallel. If its access number appears in other primary mapping paths, it is removed to avoid overlapping path access. If a path's output port corresponds to multiple physical channel numbers, and the channel number... If there is no overlap between the pointed-to interface numbers, the path is recorded as a multi-interface path and corresponding to multiple indices in the subsequent air conditioning area numbering. For example, if the output port number at the end of path P1 is 18, and the interface allocation table records that 18 is connected to interfaces A1 and A3, and A1 corresponds to air conditioning area number Z2, and A3 corresponds to Z4, then path P1 needs to be bound to the two area numbers Z2 and Z4 and form an interface extension table. If the output port number of path P2 is 22, and it only connects to interface B1, and B1 is bound to air conditioning area Z3, then P2 is bound to area Z3. Subsequently, a one-to-one index table is established for the path number, output port number, air conditioning interface number, and area number. Then, all path numbers in the index table are sorted. According to the response order extracted from the path time sequence topology information, the path numbers are arranged sequentially and a sequence identifier is established with the air conditioning power consumption area bound to them to form a traceable path connection link. Finally, the connection relationship between the path and the air conditioning area is marked sequentially according to the response order to obtain the energy storage path sequence information.

[0062] The specific steps of S2 are as follows:

[0063] S201: Based on the energy storage path sequence information, retrieve the temperature data frame and condensate flow rate data frame of the evaporator heat exchange unit during the power supply path of the differentiated power supply path, perform interval matching on the flow rate change in the temperature drop interval, and compare the drop gradient and flow rate fluctuation trend in the continuous time period to obtain the temperature flow rate correlation feature set.

[0064] First, extract the power-on number and corresponding power-on time period parameters for each energy storage path in the cooling load system. Then, retrieve monitoring data from the evaporator heat exchange unit connected to that path, extracting temperature and condensate flow rate data frames within the power-on section. Divide and label all decreasing segments in the temperature data frame, extracting the numerical difference and time span of temperature changes within each decreasing segment. Align the time periods in the condensate flow rate data frame, marking data segments that overlap with the temperature decreasing segment, and extracting the trend of condensate flow rate values ​​within these segments. During execution, perform a one-to-one matching operation between each temperature decreasing segment and its corresponding flow rate segment to determine if there is a synchronous trend of flow rate fluctuations within the overlapping time period. If the flow rate fluctuates synchronously with the same direction for each unit temperature decrease, the segment is considered a trend-matching segment. The matching determination is based on the continuity between the fluctuation direction and amplitude. Continuity is defined as the flow rate fluctuation direction not reversing within three consecutive sampling points, and the fluctuation amplitude... The variation difference must not exceed a set threshold, which is 0.12 times the maximum flow rate. For example, if the maximum value in the flow rate sampling sequence is 380, the threshold is 45.6. The fluctuation value between any three consecutive sampling points must not exceed this value; otherwise, it is considered a trend break segment. Subsequently, all temperature and flow rate data segments that meet the trend matching conditions are indexed, and a mapping relationship is established for each pair of numbers. The path number, time period number, temperature gradient, flow rate fluctuation amplitude, and other fields are recorded. For example, the energized time period of path P3 is from t8 to t14. During this time period, the temperature drop segment is from t9 to t12 with a drop gradient of 6.2, and the flow rate fluctuation segment is from t9 to t12 with a fluctuation difference of 51. Since it meets the continuity and fluctuation amplitude conditions, this time period of P3 can be determined as a trend-related segment. Finally, all trend-related segments that meet the conditions in all energized paths are integrated into a set of data, recording four pieces of information: path number, response time period, gradient change value, and flow rate fluctuation value, to obtain the temperature-flow rate related feature set.

[0065] S202: Based on the temperature and flow rate correlation feature set, extract the output parameter sequence of the current power supply path within a time period, the corresponding path output interruption segment and cold load response state logic, identify the path number and time period range that do not have continuous response characteristics, and obtain the cold load response interruption segment index set.

[0066] First, the output parameter sequence for each energy storage power supply path within the corresponding time period is extracted. The path number, output power value, temperature drop gradient, and flow rate fluctuation amplitude are decomposed into fields. The output power value during the power-on phase of each path is segmented and categorized, marking continuous and discontinuous output segments. The start and end times of discontinuous segments are extracted, and the change state of the output power value within that time period is determined. If the power value is zero or the power drop value is greater than the set interruption threshold between any two consecutive sampling points, it is determined to be an output interruption segment. The interruption threshold is set as a percentage of the maximum output power value of each path. For example, when the maximum power of a path is 600, the interruption threshold is set to 240. If the power drop value exceeds this value in any sampling interval, it is considered an output interruption. Subsequently, the temperature change gradient and flow rate fluctuation amplitude of the path are extracted, corresponding to the cooling load response field. The time index value is used to determine whether the path has continuous cold load response behavior within the corresponding time period. If the cold load response segment does not cover all the time indices between the start and end points of the path output interruption segment, it is determined that the path does not have continuous response characteristics in that segment. For example, path number P5 has two instances of output power returning to zero within the time period T7 to T13, with the time points being between T8 and T12 and the power drop being 330, exceeding the interruption threshold of 240. The cold load response status only covers T7 to T9, so the response between T10 and T12 is missing. Path P5 is marked as a discontinuous response segment between T10 and T12. Subsequently, all discontinuous response segments are numbered and organized, and the path number and the start and end values ​​of the interruption time period are extracted and recorded as path interruption index items. Finally, the path number and corresponding time period that do not have continuous response characteristics are output, resulting in the cold load response interruption segment index set.

[0067] S203: Based on the cold load response interruption segment index set, filter the main power supply path number and the backup path response time period, bidirectionally judge the state change of the path number within the corresponding time period, extract the path item that has both output decrease and backup activation characteristics during the switching period, and obtain path switching behavior data.

[0068] First, extract all path numbers marked as responding to interruptions and their corresponding interruption time period parameters. Then, retrieve the main power supply path identifier field bound to that number from the path allocation table to confirm whether it is a main path type. Simultaneously, extract the backup path number bound to the main path from the backup path record and obtain the power-on response time period data of the backup path throughout the entire control sequence. Then, compare the state change value of the main path during the interruption segment with the power output behavior of the backup path during the same time period to determine whether there is a time period in which the output of the main path decreases and the power of the backup path increases simultaneously. If the output power of the main path continuously decreases from T1 to T4 and the decrease exceeds the interruption judgment threshold, while the backup path increases its power from T2 to T4 and the increase exceeds the activation response threshold, then it is determined that there is a switching behavior during this time period. Further compare the changes in the state curves of the two paths. The trend analysis involves extracting the direction and magnitude of changes in the output values ​​of the main path and the backup path at each sampling point. If the main path decreases for three consecutive sampling points, the backup path increases for three consecutive sampling points, and the current value of the main path is lower than the on / off judgment value of 40, while the current value of the backup path is higher than the activation benchmark value of 60, then the switchover is considered successful. For example, the output values ​​of the main path P7 in the T11 to T13 segment are 95, 62, and 38, with a change magnitude of -33 and -24, respectively. The output values ​​of the backup path B7 in the T11 to T13 segment are 22, 51, and 74, with a change magnitude of +29 and +23. This combination meets the switchover conditions, and the path P7 to B7 in the T11 to T13 segment is marked as the switchover process segment. Finally, all path number pairs that meet the conditions are summarized with their corresponding time periods, and the path number, type identifier, and switchover start and end time are extracted and recorded in the switchover behavior item to obtain the path switchover behavior data.

[0069] The specific steps for S3 are as follows:

[0070] S301: Based on path switching behavior data, extract the operating status data frames and air volume release time period index of the fan before and after switching, filter the operating status curve during the power-on period of the fan and the air volume output value of the corresponding time period, match the fan operation change data segment and release time range, and obtain the air volume output coverage feature set.

[0071] First, extract the path number and corresponding start and end time periods for each switching behavior. Retrieve the fan numbers associated with the switching path before and after. Then, retrieve the operating status data frames matching these fan numbers from the fan operation monitoring records. Perform time-period clipping on the operating parameters of each fan in the power-on state, retaining the operating status values ​​that overlap with the channel switching time periods. Simultaneously, extract the time period index information of each fan's airflow release, and retrieve the airflow output value sequence within the corresponding time period from the airflow monitoring records. Then, synchronize the fan operating status data and airflow output data, unify the sampling frequency, and align the time coordinates for segment-level comparative analysis. Delineate the corresponding operating change data segments for each fan before and after the switching, extract the direction and fluctuation range of its operating status values, and then compare them with the corresponding time periods. The sequence of airflow output changes is matched one by one. For each fan operating state, the segment where the state value change exceeds the airflow response activation threshold is selected for key screening. This threshold is set to 25% based on the rated state value of the fan. If the operating state value of a fan fluctuates from 60 to 90, with a fluctuation range of 30, exceeding the threshold, then this segment can be used as the starting segment of airflow response. At the same time, the airflow output value in this segment is extracted and compared with the ventilation reference range. If the airflow output value is greater than 80 for three consecutive sampling points, it is determined to be an effective airflow release segment. This airflow release segment is paired with the corresponding fan operating state segment and recorded with numbers. Finally, the paired segments that meet the response change conditions from all fans are numbered and extracted, and the fan number, state change value, airflow output sequence and matching time period index are recorded to obtain the airflow output coverage feature set.

[0072] S302: Based on the air volume output coverage feature set, extract the spatial number of the current air conditioning cooling area and the time period of cooling demand in the area, perform location indexing and time comparison between the air volume release time range and the cooling demand period, determine whether there are area numbers with inconsistent response timing, and obtain the air volume response misalignment number set.

[0073] First, extract the recorded fan number, start and end points of the air volume release time period, and corresponding ventilation path number. Then, search the space number configuration table of the current air conditioning cooling area to extract the ventilation path number bound to each area and the cooling demand time period index information. Perform path matching on the ventilation path corresponding to each area number to confirm whether it exists in the air volume output coverage feature set. If it exists, perform a time axis comparison operation on the air volume release time period and the cooling demand time period. Synchronize the start and end points of the two time periods on the time axis to determine whether the air volume release start point is earlier than the cooling demand start point and whether the air volume release end point is later than the cooling demand end point. If both conditions are met, the area number and the air volume release time period are successfully matched. If there is a case where the air volume release start point is delayed or the air volume release end point is advanced, mark the area number as a response inconsistency item and further determine whether the inconsistency behavior crosses the cooling demand. The response key points are set based on the maximum fluctuation segment in the cooling demand sequence. For example, if the cooling demand of a certain area Z5 rises to its maximum value during the time period from T9 to T13 and lasts for more than 5 sampling points, then if there is no airflow coverage in this segment, it is judged as a serious misalignment. The area number and time index are recorded. Then, all areas are traversed to extract the spatial numbers of all airflow release segments that do not completely cover the cooling demand time periods. The fields such as number, path number, misalignment direction, and time offset are compiled. For example, if area Z3 is bound to path P8, the cooling demand segment is from T6 to T12, and the airflow release segment is from T7 to T10, there is a mismatch between the two ends. T9 is the peak point of cooling demand, but the airflow release value is less than 80. Then, the area number Z3 needs to be included in the response misalignment set. Finally, all area numbers and corresponding path information that meet the above misalignment conditions are summarized to obtain the airflow response misalignment number set.

[0074] S303: Based on the misaligned number set of air volume response, locate the control path index corresponding to the number, filter the path number and the air conditioning interface connection parameters, compare the state changes of the path and interface during the cooling load output process, extract the path item with discontinuous air volume response characteristics, and obtain the cooling load supplementary cooling operation content.

[0075] First, extract all space numbers marked as having inconsistent response timing. Then, retrieve the path number from the ventilation path configuration table and its associated air conditioning interface identifier based on the number field. After extracting the correspondence between path numbers and interface numbers, confirm the interface location connected to each path. Next, retrieve the path operation record and extract the on / off status value of each path during the air volume response time period. After sampling and evenly dividing the status values, define the variation range and extract the number of times each path is turned on, the duration, and the range of air volume output value changes within the time period. Cross-reference these values ​​with the operating status of the corresponding air conditioning interface during the cooling load output process. The judgment criterion is whether the direction of change between the path status value and the interface cooling load output value is consistent. If the path status value decreases while the interface load output remains stable or increases, or if the path status value is normally powered on while the interface cooling load output value decreases, then the path is marked as a response disconnection item. Further extract the time comparison sequence between the path number and the corresponding interface number. The system compares the magnitude and frequency of status changes during the main cooling load demand period. If the frequency of fluctuations exceeds three times and the magnitude of each change exceeds the stable response threshold of the channel, the channel is recorded as a discontinuous response item. The stable response threshold can be set at 0.15 times the maximum operating status value of the channel. If the maximum status value of the channel is 100, then a single fluctuation exceeding 15 is considered an abnormal response. For example, channel C6 is bound to interface X2. During the time period from T4 to T10, the status values ​​are 85, 62, 40, 55, 38, 92, and 47, with four consecutive fluctuations and the magnitudes exceeding the set threshold of 15. During the same time period, the cooling load output of interface X2 is 78, 80, 83, 81, 85, 84, and 86. The change value is always higher than 75 and there is no significant decrease. Therefore, it is determined that channel C6 failed to participate in the load response behavior synchronously. Finally, all channel numbers, interface numbers, status change indicators, fluctuation frequencies, and judgment tags are extracted to obtain the cooling load supplementary cooling operation content.

[0076] The specific steps of S4 are as follows:

[0077] S401: Based on the cooling load supplementary cooling operation content, filter the energy storage paths that are not currently supplying power, extract the access time parameters and path numbers of the paths, compare the access time interval with the ventilation time interval index of the area to be supplemented, remove the path numbers that are not in the time overlap segment, and obtain the set of accessible path indexes.

[0078] First, extract the area numbers involved in the cooling demand and their corresponding ventilation time periods. Then, filter the set of path numbers that are not currently in the power supply execution state from the energy storage path scheduling table. For each path in this set, extract its access time parameters, including the access start time, end time, and scheduling sequence number. Then, compare the access time period of each energy storage path with the ventilation time period of each area to be cooled. Specifically, perform a minimum overlap segment calculation between the start and end points of the ventilation time period and the access time period of the energy storage path. If the access start time of the energy storage path is earlier than the end time of the ventilation time period, and the access end time of the energy storage path is later than the start time of the ventilation time period, then the path and the area have a time overlap segment. If the time overlap condition is met and the spatial number corresponding to the path number is bound to the area number, then the path is considered to have a time overlap segment. If a path is connected to a cooling replenishment area, it is marked as a responsive path. If a path number is not bound to any cooling replenishment area or the time periods of the bound areas do not overlap, the path is removed from the candidate set. For example, if the access time period of energy storage path P12 is from T6 to T14, and the ventilation time period of area Z7 is from T8 to T13, then the two time periods overlap from T8 to T13, which is considered an overlap. If path P12 points to area Z7 in the path-area binding table, then the path is marked as an accessible path. In the counterexample, if the access time of path P15 is from T5 to T9, and the ventilation time period of area Z8 is from T10 to T13, then the path access termination time is earlier than the ventilation start time, and the two have no intersection. Path P15 is removed. Finally, all energy storage path numbers that meet the conditions of time overlap and area binding are selected to obtain the accessible path index set.

[0079] S402: Call the set of accessible path indexes, extract the output power frame and area coverage number of the path in the corresponding time period, cross-compare the output segment and cooling capacity gap area number in the power frame, filter the path numbers that can be locally supplemented with cooling capacity, and obtain a list of cooling capacity response path numbers.

[0080] First, the output power frame data of each path within its corresponding access time period is extracted item by item, and the cooling load area number covered by the path is retrieved simultaneously. After binding the path number and area number in pairs through traversal, the area number and time period information in the cooling capacity gap area list are retrieved. The output values ​​corresponding to each time period in the path's output power frame are segmented and filtered. The filtered power values ​​are cross-referenced with the start and end time indices of the cooling capacity gap segments. The judgment criterion is whether the power value of the path in the corresponding time period of the gap area is continuously higher than the set output effective threshold. The output effective threshold is based on 30% of the maximum rated output value of the path. For example, if the rated power of path P3 is 520, then the output power value is considered to have response capability only if it is above 156. If the power values ​​of path P3 in the time periods T5 to T10 are 162, 178, 185, 191, 140, and 132 respectively, then T5 to T8 meet the response condition, and T9 and T10 meet the response condition. T10 is considered an insufficient response segment because it is below the threshold. Further, it is determined whether the area covered by this path is the same as the cold energy gap area number. If they are the same and the response time in the overlapping period exceeds 50% of the gap segment time, it is considered a responsive path and the path number is added to the filter set. If the overlapping period is insufficient or the power value fluctuation is higher than the stable range threshold, that is, the difference between the sampling points in the same segment exceeds the path response stability threshold, the path is removed. The stability threshold is set to 20% of the path power change tolerance. For example, if the path allows fluctuation of ±50, then a single difference of no more than 10 is compliant. In the example, the output values ​​of path P4 are 260, 268, 280, 241, 298, and 245. The change from 280 to 241 is 39, which exceeds the threshold, so the path is excluded. Finally, all path numbers that meet the cold energy gap supplementation conditions are filtered, and the corresponding time range, area coverage number, and output stability index are recorded to obtain the list of cold energy response path numbers.

[0081] S403: Based on the list of cold energy response path numbers, extract the order of the corresponding paths on the timeline, insert the sequence number into the path number and the original path sequence, establish a path linked list structure arranged according to the response priority relationship, and obtain the scheduling scheme of the supplementary power supply path.

[0082] First, extract the output start time period number and timeline position index within the region corresponding to each path. Construct a key-value relationship table between path numbers and time labels through traversal. Sort the paths in ascending order by time label to generate a path sequence queue. Then, perform region positioning and path association operations on each path number sequentially. Extract the position value from the original path list corresponding to the path, obtain the sequence number within the original power supply path, and use this number as the insertion reference. Insert the new path number into the original path sequence immediately before or after the corresponding region number. The insertion direction is determined based on whether the start time of the new path is earlier than the original path. For example, if the start time of path P5 is T3, the corresponding region number is Z2, and the start time of path P2 (where Z2 is located) in the original path is T4, then P5 is inserted... Insert the path number before P2 and update the linked list structure. If the opposite is true, insert it after P2. Repeat this process to insert all path numbers. At the same time, rearrange the order of the path numbers in the linked list after insertion. The numbers start from 1 and increment sequentially without duplicate values. By constructing this sequence, the order of response can be mapped. For example, if the path number list is P3, P7, P5, P1, and the starting time period numbers are T2, T5, T3, T1, the sorted linked list result is P1, P3, P5, P7, where the execution order of each path is 1, 2, 3, 4. By combining the output power frame of the area and path corresponding to each number in the linked list, the power-on order of the cold load area during the cold energy replenishment process can be further deduced, and the scheduling scheme of the supplementary power supply path can be obtained.

[0083] The specific steps of S5 are as follows:

[0084] S501: Based on the scheduling scheme of the supplementary power supply path, extract the path number and power supply time period data frame of the main power supply path and the backup path, retrieve the output time sequence of the path in the cold load partition, match the cross correspondence between the path number and the partition number, and obtain the path coverage order comparison set.

[0085] First, extract the main power supply path number and the backup path number, and call their respective corresponding power supply time period data frames. A correlation table is established by traversing the data to create a table linking the path number to the time period. The main path numbers P1 to Pn and the backup path numbers Q1 to Qm correspond to their respective power-on start periods T1 to Tn and T1' to Tm'. Then, using each path number as the key, retrieve the path output records within its cooling load partition numbers Z1 to Zk to obtain the correlation entries between the path number and the partition number. Next, record the first output time of each number within the partition in chronological order to form a table of the path's initial output sequence within the region. For example, if P3 first outputs at T2 and acts on Z2, and Q1 first outputs at T1' and acts on Z2, then in partition Z2, Q1 takes precedence over P3. Finally, arrange the path numbers within all partitions in chronological order and compare the start time of each path number within the time period with the partition number it controls to confirm the sequence of each partition within the entire path. The earliest and latest executed path numbers in the number set are used. For partition Z3 where path numbers overlap, if numbers P5 and Q2 act on Z3 simultaneously, it is necessary to further match the start and end positions of their overlapping power supply time periods and determine whether the length of the interleaved time period of the two path outputs meets the set time threshold requirement. Here, 10 seconds is used as the judgment basis. If the output of P5 starts at T5 and ends at T8, and Q2 starts at T6 and ends at T9, then its overlapping length is from T6 to T8, which is the intersection of the two time periods, with a length of 2 seconds. This does not meet the 10-second standard, so it is regarded as an independent output and does not constitute an overlap. If a path number acts on multiple area numbers at the same time, a correspondence table between path number and time period is established for each area number, and a sorted list is generated according to the order in which the path number appears in multiple areas. The sorted result in each group represents the path's coverage order of the area, and finally, a cross-order pairing relationship between path number and area number is formed to obtain the path coverage order comparison set.

[0086] S502: Based on the path coverage sequence comparison set, extract the output direction of the nodes of the path and the number of the cold load area to which they belong, extract the path running time segment and control timing parameters, determine the time activity range of the output node within the control sequence, and aggregate the output status corresponding to the direction information and time segment information to obtain the power supply path output parameter group.

[0087] First, the direction information of the node corresponding to the path number is retrieved, along with the cooling load zone number to which the path belongs. The direction of the path node with number P1 is set to east, P2 to south, and P3 to west. Numbers Z1, Z2, and Z3 are then used as the zone numbers corresponding to the aforementioned paths. A one-to-one correspondence between path numbers and zone numbers is matched using an indexing method. Next, the runtime information corresponding to each path number is retrieved. For example, the runtime for path P1 is 5 to 35 seconds, for path P2 it is 15 to 45 seconds, and for path P3 it is 25 to 55 seconds. Extract the start and end times recorded in the control parameters, and label the start and end times in the control sequence as Q1 to Q3 respectively. The corresponding control timings for the path P1 to P3 are Q1: 0 seconds to Q1z: 40 seconds, Q2: 10 seconds to Q2z: 50 seconds, and Q3: 20 seconds to Q3z: 60 seconds. By comparing the running segments of the path P1 to P3 with the active segments of the control sequence, calculate whether each path node is entirely within the corresponding control timing. If the running segment of path P1 from 5 to 35 seconds is entirely within the S1 control interval, it is marked as an internal control path; otherwise, it is marked as an external control path. Next, the output direction information of each node is categorized into four directions: east, south, west, and north, labeled D, N, X, and B respectively. Simultaneously, the output state value segments corresponding to each path's runtime are extracted. For example, path P1 outputs 2kW, 2.3kW, 2.5kW, and 2.1kW per second between 5 and 35 seconds. A correspondence between the time series and power values ​​is established, and an output state curve is plotted with time points on the horizontal axis and power values ​​on the vertical axis. Then, the direction information is mapped one-to-one with this output curve, forming a result such as "Direction D - 2.0kW @ 5 seconds". Records such as "D direction - 2.3kW @ 6 seconds" are aggregated by path number to output the output parameter group corresponding to the path number. At the same time, the area number and time coverage range involved in the output parameter group are marked. If path P2 corresponds to area Z2, its direction is south, and the power output increases from 1.8kW to 3.0kW during the operation period, then the output parameter group of P2 is recorded as "path P2-direction N-power sequence [1.8 to 3.0kW]-area Z2-time period 15 to 45 seconds", and finally the power supply path output parameter group is obtained.

[0088] S503: Call the power supply path output parameter group, retrieve the corresponding access node index value and path number, extract the path belonging relationship of the node in the control sequence, analyze the power supply correspondence status between the path and the node, and obtain the air conditioning power supply path optimization scheme.

[0089] First, the path number in each record group is used as the primary index. The list of access node index values ​​under the corresponding path is retrieved. For path P01, the access nodes are extracted as N01, N02, and N03; for path P02, they are N04 and N05; and for path P03, they are N06, N07, N08, and N09. A mapping matrix is ​​then established between the node numbers and path numbers, with path numbers as columns and node numbers as rows. A one-to-one binding is performed according to the structure. Simultaneously, the time period of each node in the control sequence is extracted. For example, node N01 controls... The control period is 5 to 25 seconds for N02, 10 to 30 seconds for N03, and 15 to 35 seconds for N03. The overlap between the control period and the operating time of the corresponding path number is determined. If the operating time of path P01 is 5 to 35 seconds, then all access nodes on that path are within its control range and are recorded as valid home nodes. Subsequently, the behavioral status of all access nodes within the control sequence is extracted, and the output status record of each node during the power-on period is read. For example, the power output of node N01 during the 5 to 25 seconds is 2.1kW, 2.3kW, and 2.4kW. 2.2kW, construct a power curve, and map the output curve to the path number. If node N02 experiences continuous power fluctuations within the control range, and the fluctuation amplitude is less than 0.5kW, the node is considered to have a stable power supply status. If the fluctuation amplitude is greater than 1.0kW or there are multiple zero-state states, it is marked as an unstable power supply node. Next, count and record the number of stable power supply nodes under each path. For example, all three nodes under path P01 are stable, only N05 under path P02 is stable, and two nodes under path P03 are unstable. Extract the position sequence of unstable nodes in the path and determine whether they are concentrated at the beginning or end. If nodes N06 and N09 are the beginning and end nodes of the path, they are considered as edge unstable channels and require further processing. Finally, output the stable power supply node combination relationship of each path and list the stable node number and operating time period to which it belongs, with the path as the main index. For cases where multiple paths have the same node number, determine the final path to which the node belongs by the belonging priority. The priority setting is determined by the order of the path numbers, such as the smaller number taking precedence. Finally, obtain the optimized scheme for air conditioning power supply paths.

[0090] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing the power supply of an air conditioning system with solar energy storage, characterized in that, Includes the following steps: S1: Obtain the power supply startup sequence of the region in the photovoltaic array, identify the region's energy storage response time, extract the power input node, analyze the relationship between the path and energy storage response and air conditioning power interface under different time conditions, and obtain the energy storage path sequence information; S2: Based on the energy storage path sequence information, extract the heat exchange unit operation change data, analyze the continuity of temperature drop and condensate flow rate, track the power supply path output performance, determine whether the cooling load is interrupted, and obtain path switching behavior data. S3: Based on the path switching behavior data, extract the operating status and air volume release time period before and after the fan switching, identify the air volume signal coverage area, determine the matching between the fan response and the cooling demand, and obtain the cooling load supplementary cooling operation content. S4: Based on the aforementioned cooling load replenishment operation, select accessible paths from energy storage paths that have never received power, compare access times and ventilation cycles, analyze the path output coverage and response capabilities, and obtain a scheduling scheme for the replenishment power supply path. S5: Based on the scheduling scheme of the supplementary power supply path, analyze the power supply coverage sequence of the main and backup paths, identify the path connection direction and operating segment, deduce the power supply correlation between the access node and the path, and obtain the air conditioning power supply path optimization scheme. The specific steps of S2 are as follows: S201: Based on the energy storage path sequence information, retrieve the temperature data frame and condensate flow rate data frame of the evaporator heat exchange unit during the power supply path of the differentiated power supply path, perform interval matching on the flow rate change in the temperature drop interval, and compare the drop gradient and flow rate fluctuation trend in the continuous time period to obtain the temperature flow rate correlation feature set. S202: Based on the temperature-flow rate correlation feature set, extract the output parameter sequence of the current power supply path within the time period, the corresponding path output interruption segment and cold load response state logic, identify the path number and time period range that do not have continuous response characteristics, and obtain the cold load response interruption segment index set. S203: Based on the cold load response interruption segment index set, filter the main power supply path number and the backup path response time period, bidirectionally judge the state change of the path number within the corresponding time period, extract the path item that has both output decrease and backup activation characteristics during the switching period, and obtain path switching behavior data. The specific steps of S4 are as follows: S401: Based on the cooling load replenishment operation content, filter the energy storage paths that are not currently being powered, extract the access time parameters and path numbers of the paths, compare the access time interval with the ventilation time interval index of the area to be replenished, remove the path numbers that are not in the time overlap interval, and obtain the set of accessible path indexes. S402: Call the accessible path index set, extract the output power frame and area coverage number of the path in the corresponding time period, cross-compare the output segment and cooling capacity gap area number in the power frame, filter the path numbers that can be locally supplemented with cooling capacity, and obtain a list of cooling capacity response path numbers. S403: Based on the list of cooling response path numbers, extract the order of the corresponding paths on the timeline, insert sequence numbers into the path numbers and the original path sequence, establish a path linked list structure arranged according to the response priority relationship, and obtain the scheduling scheme of the supplementary power supply path.

2. The power supply optimization method for air conditioning systems with solar energy storage according to claim 1, characterized in that, The energy storage path sequence information includes power supply startup sequence, power-on response time, power input nodes, path response behavior, power input sequence, and the correspondence between power supply channels and air conditioning power interfaces. The path switching behavior data includes cold load response interruption status, main power supply path changes, backup path response status, fan operation status, air volume release time period, air volume signal coverage area, and control paths for air volume disconnection areas. The cold load supplementary cooling operation content includes a list of unexecuted power supply paths, accessible path screening results, output coverage area, and supplementary path number. The supplementary power supply path scheduling scheme includes the main and backup path coverage sequence, path connection direction, path operation time period, path output status, and the correlation between access nodes and path power supply. The air conditioning power supply path optimization scheme includes path number, path distribution area, path connection structure, and power supply timing control scheme.

3. The power supply optimization method for air conditioning systems with solar energy storage according to claim 1, characterized in that, The heat exchange unit operation change data refers to the synchronous response relationship between the temperature change trend of the evaporator and heat exchange unit and the condensate flow rate during the power supply of the energy storage path. The operation status is analyzed by matching the temperature drop range with the condensate flow rate fluctuation. The continuity of condensate flow rate refers to whether the condensate flow rate remains consistent with the temperature drop and fluctuates continuously during cold load operation, thus determining the stability of the air conditioner under differentiated path power-on conditions.

4. The power supply optimization method for air conditioning systems with solar energy storage according to claim 1, characterized in that, The air volume signal coverage refers to whether the synchronization between the fan's operating status changes before and after power-on and the air volume release time covers the time period of cooling demand in the air-conditioned area. The accessible path refers to an energy storage power supply path that does not provide power during the time period but overlaps with the ventilation time of the target area and can supplement the cooling capacity.

5. The power supply optimization method for an air conditioning system with solar energy storage according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Obtain the power supply startup sequence of the regions in the photovoltaic array, monitor the changes in the power-on response after the region is connected to energy storage, extract the energy storage connection time and region index value, and obtain the energy storage power-on response feature sequence by corresponding to the difference between the response time and the region location. S102: Based on the energy storage power-on response feature sequence, extract the position parameters and response times of the power input nodes at the same time, determine the difference in response order between nodes, extract the power-on sequence relationship between paths, and obtain the path time-series topology information set. S103: Based on the path time-series topology information set, retrieve the connection parameters between the output node of the path terminal and the air conditioning power interface, compare the connection relationship between the output path and the interface, and obtain the energy storage path sequence information.

6. The power supply optimization method for an air conditioning system with solar energy storage according to claim 1, characterized in that, The specific steps for S3 are as follows: S301: Based on the path switching behavior data, extract the operating status data frames and air volume release time period index of the fan before and after switching, filter the operating status curve during the power-on period of the fan and the air volume output value of the corresponding time period, match the fan operation change data segment and release time range, and obtain the air volume output coverage feature set. S302: Based on the air volume output coverage feature set, extract the spatial number of the current air conditioning cooling area and the time period of cooling demand in the area, perform location indexing and time comparison between the air volume release time range and the cooling demand period, determine whether there are area numbers with inconsistent response timing, and obtain the air volume response misalignment number set. S303: Based on the set of misaligned airflow response numbers, locate the control path index corresponding to the number, filter the path number and the air conditioning interface connection parameters, compare the state changes of the path and the interface during the cooling load output process, extract the path item with discontinuous airflow response characteristics, and obtain the cooling load supplementary cooling operation content.

7. The power supply optimization method for an air conditioning system with solar energy storage according to claim 1, characterized in that, The process of comparing the access time interval with the ventilation time interval index of the area to be cooled is as follows: after converting the format of the access time parameter of the path, the segment corresponding to the time parameter is compared with the ventilation time interval index one by one, and the path number that is not in the time overlap segment is removed. The process of filtering path numbers that can be locally supplemented with cooling capacity is as follows: by reading the output power change in the output power frame, the range of the number of the cooling capacity gap area covered by the output segment is judged, and the path numbers with cooling capacity are extracted as the contents of the cooling capacity response path number list. The process of inserting serial numbers into the path number and the original path sequence is as follows: according to the access time parameter order of the path in the cold response path number list, insert the serial number into the corresponding position in the original path sequence, and exclude duplicate path numbers that have already appeared.

8. The power supply optimization method for a solar energy storage air conditioning system according to claim 1, characterized in that, The specific steps of S5 are as follows: S501: Based on the scheduling scheme of the supplementary power supply path, extract the path number and power supply time period data frame of the main power supply path and the backup path, retrieve the output time sequence of the path in the cold load partition, match the cross correspondence between the path number and the partition number, and obtain the path coverage order comparison set. S502: Based on the path coverage sequence comparison set, extract the node output direction and the corresponding cold load area number of the path, extract the path running time segment and control timing parameters, determine the time activity range of the output node in the control sequence, and aggregate the direction information and time segment information to obtain the power supply path output parameter group. S503: Call the power supply path output parameter group, retrieve the corresponding access node index value and path number, extract the path belonging relationship of the node in the control time sequence, analyze the power supply correspondence status between the path and the node, and obtain the air conditioner power supply path optimization scheme.

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