A comprehensive energy control system and method for hydrogen alcohol, electricity, and heating with four complementary sources.

Abstract

This invention discloses a hydrogen-ethanol-thermal four-source complementary integrated energy control system and method, including acquiring historical operating data and real-time monitoring data of hydrogen sources to form a set of available hydrogen source intervals, generating an initial energy supply sequence based on real-time load demand data, and obtaining a coordinated energy supply sequence through time-domain intersection processing, constructing a multi-source topology model based on the coordinated energy supply sequence and generating energy supply topology constraint information, performing node mapping processing on the coordinated energy supply sequence based on the energy supply topology constraint information, determining the coordinated output scheme of hydrogen-ethanol-thermal, and hydrogen-powered systems, avoiding switching during unavailable periods by using the set of available hydrogen source intervals and time-domain intersection processing, limiting connections and capacity by using the multi-source topology model and energy supply topology constraint information, and ensuring stable switching and allocation by using node mapping processing, thereby ensuring continuous and stable output of combined power and thermal power under the conditions of limited hydrogen energy supply intermittentness and controllable switching errors of alcohol-thermal substitutes.

Description

Technical Field

[0001] This invention relates to the field of power supply management technology, specifically to a comprehensive energy control system and method that integrates four sources of hydrogen alcohol, electricity, and heat. Background Technology

[0002] Hydrogen-ethanol combined heat and power integrated energy systems are typically based on distributed industrial parks or isolated grid systems. Under the constraints of limited equipment size and limited dispatch response time, they achieve dynamic coordinated dispatch between hydrogen energy and alcohol heat energy. Existing technologies mostly use methods such as state threshold determination, load timing smoothing, static energy flow switching and local feedback control to achieve the stability of system power supply. The applicability of the above technical solutions is usually based on the premise of continuous and stable hydrogen source, short alcohol heat substitution switching delay and slow load fluctuation.

[0003] In actual operation, hydrogen energy supply is easily affected by external factors and exhibits intermittent interruptions. At the same time, the thermal inertia of the alcohol-thermal energy switching process makes it impossible for the energy flow to stabilize quickly. These two factors together make it difficult for existing static switching and timing smoothing methods to effectively reduce energy switching errors, causing continuous fluctuations in the output of combined power and heat. Therefore, the technical problem that needs to be solved is how to ensure continuous and stable output of combined power and heat under the condition of intermittent hydrogen energy supply and by reducing the switching error of alcohol-thermal energy substitute.

[0004] In view of this, the present invention provides a comprehensive energy control system and method that integrates four sources of hydrogen alcohol, electricity, and heat to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide a comprehensive energy control system and method that integrates hydrogen alcohol, electricity, and heating, which solves the problems of existing dialogue systems that make it difficult to identify the user's true intentions, are prone to generating misleading responses, cannot detect semantic jumps, and have inconsistent contextual responses.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a comprehensive energy control method for hydrogen alcohol electrothermal four-source complementary energy control, comprising the following steps:

[0008] Obtain historical operating data and real-time monitoring data of the hydrogen source. Based on the historical operating data and real-time monitoring data of the hydrogen source, determine the available time periods for the operation of the hydrogen source and generate a set of available hydrogen source intervals mapped to the current time axis.

[0009] Acquire real-time load demand data, determine the initial energy supply sequence based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply sequence in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply sequence.

[0010] A multi-source topology model is constructed based on the collaborative power supply time sequence, and power supply topology constraint information is generated based on the topological relationships between nodes in the multi-source topology model.

[0011] Based on the energy supply topology constraint information, node mapping processing is performed on the collaborative energy supply timing to determine the collaborative output scheme of hydrogen alcohol electrothermal.

[0012] As a preferred technical solution of the first aspect of the present invention, based on historical operating data and real-time monitoring data of the hydrogen source, the available operating time period of the hydrogen source is determined, and a set of available hydrogen source intervals mapped to the current time axis is generated, including:

[0013] Identify the start and end points of the operating conditions of the hydrogen source equipment based on historical operating data of the hydrogen source, and form historical operating condition time periods.

[0014] The stable operating point of the hydrogen source equipment is detected based on real-time monitoring data of the hydrogen source, and the real-time operating period is determined based on the operating status between adjacent stable operating points.

[0015] Based on the start and end points of historical operating conditions, operating condition characteristics are matched with the stable operating points of real-time operating conditions to form operating condition matching periods.

[0016] A continuous evaluation of hydrogen source power supply conditions is conducted for the operating condition matching period to determine historical reference power supply periods that meet the continuous operation conditions of hydrogen source equipment.

[0017] Extract the duration and relative time offset of historical reference power supply periods, map them to the current real-time operating period, determine the available time periods for hydrogen source operation, and generate a set of available hydrogen source intervals.

[0018] As a preferred technical solution of the first aspect of the present invention, the operating condition characteristics are matched with the stable operating condition points of the real-time operating condition period based on the start and end points of the historical operating condition period to form an operating condition matching period, including:

[0019] For each historical operating condition period, set corresponding historical start time markers and historical end time markers for the start and end points of the equipment operating condition. Determine the real-time stable time marker based on the actual time when the stable operating point occurs within the real-time operating condition period.

[0020] Based on the real-time stable time marker, the historical start time marker and historical end time marker are compared sequentially to determine the similarity of the historical operating conditions and the time overlap between the historical operating conditions and the real-time stable time.

[0021] Historical operating condition time periods that contain at least one real-time stable time marker and whose operating condition similarity meets a preset threshold are selected to form historical and real-time operating condition matching time periods.

[0022] As a preferred technical solution of the first aspect of the present invention, the initial energy supply time sequence is subjected to time-domain intersection processing by combining the set of available hydrogen source intervals to obtain a coordinated energy supply time sequence, including:

[0023] Extract the start and end times from the initial power supply timing sequence to form the initial timing segment;

[0024] Extract the start and end times of each available hydrogen source interval from the set of available hydrogen source intervals to form an effective hydrogen source segment;

[0025] The start and end times of each effective hydrogen source segment are time-domain overlapped with the start and end times of the initial time series segment, and the initial time series segments with overlapping relationships are marked.

[0026] Extract the time overlap between the marked initial time sequence segment and the effective hydrogen source segment to obtain the coordinated energy supply time sequence.

[0027] As a preferred technical solution of the first aspect of the present invention, the start and end times of each effective hydrogen source segment are respectively time-domain overlapped with the start and end times of the initial time series segment, and the initial time series segments with overlapping relationships are marked, including:

[0028] Traverse each initial time series segment and extract the start and end times of that initial time series segment;

[0029] For each initial time series segment, it is compared with the effective hydrogen source segment in turn to calculate whether there is a time overlap between the initial time series segment and the effective hydrogen source segment;

[0030] If the initial time series segment overlaps with the effective hydrogen source segment, then the initial time series segment is marked as an effective segment.

[0031] Merge all marked valid segments and mark the initial time sequence segments that have overlapping relationships.

[0032] As a preferred technical solution of the first aspect of the present invention, the start time and end time in the initial power supply timing sequence are extracted to form an initial timing segment, including:

[0033] Calculate the first-order gradient of load value from real-time load demand data, and identify load abrupt change intervals where the gradient exceeds a preset response threshold;

[0034] Based on the thermal inertia response time constant of the power supply equipment, time axis feedforward compensation is performed on the rising edge of the load change interval to determine the initial power supply start time including preheating advance.

[0035] Based on the load value decrease and the waste heat dissipation delay time, the termination time of equipment shutdown in the initial power supply sequence is determined, forming an initial sequence segment that matches the dynamic response characteristics of the equipment.

[0036] As a preferred technical solution of the first aspect of the present invention, a multi-source topology model is constructed based on the coordinated power supply timing, and power supply topology constraint information is generated based on the topological association relationship between nodes in the multi-source topology model, including:

[0037] The time window corresponding to the coordinated energy supply sequence is analyzed, the preset operating logic of each energy device within the time window is retrieved, and the activation flag of the device node is determined based on the preset operating logic.

[0038] Using the device nodes with activation markers as topology nodes, draw the topology connection paths between nodes and record the device node numbers connected to each topology connection path;

[0039] Traverse all topology connection paths, extract the device node number corresponding to each topology connection path, and form topology node number pairs;

[0040] Generate power supply topology constraint information based on all topology node number pairs.

[0041] As a preferred embodiment of the first aspect of the present invention, a device node with an activation marker is used as a topology node, a topology connection path between nodes is drawn, and the device node number connected to each topology connection path is recorded, including:

[0042] Iterate through each active marker node and extract the device node numbers adjacent to that active marker node;

[0043] Verify the physical connection configuration between each active marker node and its adjacent device nodes, record the device node pairs that are confirmed to have physical connections, and extract the active markers of the two nodes in the device node pairs that have physical connections.

[0044] When both nodes in a device node pair have an activation flag, draw the topology connection path between the node pair and record the device node numbers connected by the topology connection path.

[0045] As a preferred technical solution of the first aspect of the present invention, traversing all topology connection paths, extracting the device node number corresponding to each topology connection path, and forming topology node number pairs, including:

[0046] Obtain the starting and ending device nodes for each topology connection path, and extract the energy transmission loss coefficient and switching response delay between the two nodes from the preset device attribute database;

[0047] Based on the energy transmission loss coefficient and switching response delay, calculate the energy flow damping entropy of the topology connection path;

[0048] All topological connection paths are prioritized according to the order of energy flow damping entropy from low to high. Topological connection paths whose damping entropy meets the preset stability conditions are selected, and their corresponding topological node number pairs are extracted.

[0049] Secondly, the present invention provides a hydrogen alcohol, electricity and heat four-source complementary integrated energy control system, based on the implementation of the first aspect, including an available range module, a timing coordination module, a topology constraint module and a coordination output module, wherein each module transmits data to each other via wired and / or wireless means;

[0050] Available Range Module: Used to acquire historical operating data and real-time monitoring data of hydrogen source, determine the available time period of hydrogen source operation based on the historical operating data and real-time monitoring data of hydrogen source, and generate a set of available hydrogen source ranges mapped to the current time axis;

[0051] Timing Coordination Module: Used to acquire real-time load demand data, determine the initial energy supply timing based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply timing in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply timing.

[0052] Topology constraint module: used to construct a multi-source topology model based on the coordinated power supply time sequence, and generate power supply topology constraint information based on the topological association relationship between nodes in the multi-source topology model;

[0053] Collaborative output module: Used to perform node mapping processing on the collaborative power supply timing based on the power supply topology constraint information, and determine the collaborative output scheme of hydrogen alcohol electrothermal.

[0054] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0055] This invention acquires historical operating data and real-time monitoring data of hydrogen sources, determines the available time periods of hydrogen source operation, and generates a set of available hydrogen source intervals mapped to the current time axis, so that the intermittency of hydrogen energy supply is explicitly constrained by time windows; it acquires real-time load demand data and determines the initial energy supply sequence, and performs time domain intersection processing on the initial energy supply sequence and the set of available hydrogen source intervals to obtain a coordinated energy supply sequence, avoiding triggering switching during hydrogen source unavailability periods and reducing ineffective start-stop operations;

[0056] A multi-source topology model is constructed based on the coordinated power supply time sequence. Power supply topology constraint information is generated by utilizing the topological relationships between nodes in the multi-source topology model. This ensures that switching and allocation follow the connection relationships and capacity boundaries. Node mapping processing is performed on the coordinated power supply time sequence based on the power supply topology constraint information to determine the coordinated output scheme of hydrogen-methanol-thermal power. Within the same link, "available time period - load rhythm - topology capacity" are constrained simultaneously. This allows for the priority selection of feasible windows under intermittent hydrogen source constraints, minimizing switching errors during the methanol-thermal replacement phase, shortening the recovery time caused by thermal inertia, and improving the continuous and stable output and real-time adaptability of combined power and thermal power. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0058] Figure 1 This is a flowchart of the integrated energy control method for hydrogen alcohol electrothermal four-source complementarity of the present invention;

[0059] Figure 2 This is a framework diagram of the hydrogen alcohol-electric-thermal four-source complementary integrated energy control system of the present invention. Detailed Implementation

[0060] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art. The drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted.

[0061] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more exemplary embodiments. Numerous specific details are provided in the following description to give a full understanding of exemplary embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure may be practiced with one or more specific details omitted, or methods, components, steps, etc. In other instances, well-known structures, methods, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0062] Example 1

[0063] like Figure 1As shown, this invention provides a comprehensive energy control method for hydrogen alcohol, electricity, and heat sources that complement each other, comprising the following steps:

[0064] S10: Obtain historical operating data and real-time monitoring data of hydrogen source; determine the available time period of hydrogen source operation based on the historical operating data and real-time monitoring data of hydrogen source; and generate a set of available hydrogen source intervals mapped to the current time axis.

[0065] Based on historical operational data and real-time monitoring data of the hydrogen source, the available operating periods of the hydrogen source are determined, and a set of available hydrogen source intervals mapped to the current time axis is generated, including:

[0066] Identify the start and end points of the operating conditions of the hydrogen source equipment based on historical operating data of the hydrogen source, and form historical operating condition time periods.

[0067] The stable operating point of the hydrogen source equipment is detected based on real-time monitoring data of the hydrogen source, and the real-time operating period is determined based on the operating status between adjacent stable operating points.

[0068] Based on the start and end points of historical operating conditions, operating condition characteristics are matched with the stable operating points of real-time operating conditions to form operating condition matching periods.

[0069] A continuous evaluation of hydrogen source power supply conditions is conducted for the operating condition matching period to determine historical reference power supply periods that meet the continuous operation conditions of hydrogen source equipment.

[0070] Extract the duration and relative time offset of historical reference power supply periods, map them to the current real-time operating period, determine the available time periods for hydrogen source operation, and generate a set of available hydrogen source intervals.

[0071] In this embodiment, historical operating data of hydrogen source refers to the operating condition data recorded by hydrogen source equipment in its historical operation, including specific operating time and corresponding operating status. Real-time monitoring data of hydrogen source refers to the real-time operating condition data obtained during the current operation of hydrogen source equipment, which is used to reflect the actual operating status of hydrogen source equipment. The purpose of combining the two types of data is to make up for the limitations of real-time data by using the reference value of historical data, so as to achieve accurate judgment on the operating stability of hydrogen source.

[0072] It should be noted that the starting operating point and the ending operating point represent the start and end times of the continuous and stable operation of the hydrogen source equipment, respectively, thus forming a continuous and stable historical operating period. The real-time stable operating point is the moment in the real-time monitoring data that represents the current stable operating state of the hydrogen source equipment. The real-time operating period based on the real-time stable operating point can be used to determine the similarity between the current hydrogen source operating state and the historical stable operating state.

[0073] For example, historical operating conditions can be represented as (08:00-09:30) and (13:00-14:20). The stable operating conditions within the real-time operating conditions period are 08:15 and 13:10. By matching operating conditions features, the real-time stable operating conditions are used as a reference.

[0074] It can be determined that the real-time operating condition at 08:15 matches the historical time period (08:00-09:30), and the real-time operating condition at 13:10 matches the historical time period (13:00-14:20), thus forming a matching time period for operating conditions. This matching process is used to ensure that historical data is a valid reference for real-time data.

[0075] Furthermore, the continuous energy supply condition evaluation of hydrogen source is to determine the continuous energy supply capacity during the matching period of the operating condition, that is, to analyze whether the operating status of the hydrogen source equipment during the matching period meets the conditions for continuous and stable energy supply. If the continuous evaluation meets the preset continuous operation standard, the matching period of the operating condition can be used as a historical reference energy supply period for subsequent analysis.

[0076] Finally, by extracting the specific duration of historical reference power supply periods and the time offset of the periods relative to real-time operating conditions, the stable power supply status reflected by historical data is directly mapped to the time period after the current real-time operating status to determine the available time period for future operation of the hydrogen source, and finally forming a set of available hydrogen source intervals mapped to the current time axis, effectively guiding the precise planning of subsequent operating periods of hydrogen source equipment.

[0077] Based on the start and end points of historical operating condition periods, operating condition characteristics are matched with stable operating points of real-time operating condition periods to form operating condition matching periods, including:

[0078] For each historical operating condition period, set corresponding historical start time markers and historical end time markers for the start and end points of the equipment operating condition. Determine the real-time stable time marker based on the actual time when the stable operating point occurs within the real-time operating condition period.

[0079] Based on the real-time stable time marker, the historical start time marker and historical end time marker are compared sequentially to determine the similarity of the historical operating conditions and the time overlap between the historical operating conditions and the real-time stable time.

[0080] Historical operating condition time periods that contain at least one real-time stable time marker and whose operating condition similarity meets a preset threshold are selected to form historical and real-time operating condition matching time periods.

[0081] In this embodiment, the core purpose of operating condition feature matching is to clarify the correspondence between historical operating condition periods and real-time operating condition periods. The historical start time marker and the historical end time marker are used to clearly define the specific range of each historical operating condition period, while the real-time stable time marker is used to locate the specific time point when the current hydrogen source equipment is in a stable state, thereby realizing the effective correspondence between historical operating condition data and real-time monitoring data.

[0082] Furthermore, this embodiment uses two indicators, operating condition similarity and time overlap, to achieve accurate matching between historical data and real-time data. Operating condition similarity is used to determine the consistency of the operating characteristics between historical operating conditions and the current real-time stable operating conditions, while time overlap is used to determine whether the historical operating condition period can effectively cover the current real-time stable operating condition point in the time dimension, thereby improving the accuracy of matching historical data with real-time data.

[0083] For example, continuing the historical operating time periods (08:00-09:30) and (13:00-14:20) in the above example, and the real-time stable operating points 08:15 and 13:10, this embodiment uses the real-time stable time marker 08:15 as the benchmark, and compares it sequentially with the historical start time marker 08:00 and the historical end time marker 09:30 of the historical operating conditions (08:00-09:30). By calculating features such as equipment operating power and temperature curves, the similarity between the historical operating conditions and the real-time operating conditions is determined to be 0.92, which meets the preset similarity threshold of 0.90. Thus, the matching relationship between the real-time stable time marker 08:15 and the historical operating time period (08:00-09:30) is confirmed, forming a historical and real-time operating condition matching time period (08:00-09:30), which is used to guide the selection of subsequent hydrogen source availability time periods.

[0084] It should be noted that after operating condition feature matching, the accurate correspondence between historical operating condition data and current real-time operating conditions can be ensured. This solves the shortcomings of existing technologies that only consider the overlap of time dimensions and ignore the matching of operating features, effectively improving the rationality and accuracy of hydrogen source equipment operation segment planning, thereby more effectively ensuring the continuous stability of subsequent combined heat and power output.

[0085] S20: Obtain real-time load demand data, determine the initial energy supply sequence based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply sequence in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply sequence.

[0086] By performing time-domain intersection processing on the initial energy supply time series using the set of available hydrogen source intervals, a coordinated energy supply time series is obtained, including:

[0087] Extract the start and end times from the initial power supply timing sequence to form the initial timing segment;

[0088] Extract the start and end times of each available hydrogen source interval from the set of available hydrogen source intervals to form an effective hydrogen source segment;

[0089] The start and end times of each effective hydrogen source segment are time-domain overlapped with the start and end times of the initial time series segment, and the initial time series segments with overlapping relationships are marked.

[0090] Extract the time overlap between the marked initial time sequence segment and the effective hydrogen source segment to obtain the coordinated energy supply time sequence.

[0091] In this embodiment, the real-time load demand data refers to the real-time power and heat load demand data monitored during the current operation of the hydrogen alcohol-electric-thermal integrated energy system. This data reflects the specific trend of actual load changes and is used to directly guide the initial planning of the operating sequence of the energy supply equipment. The initial energy supply sequence represents the energy supply time period initially planned by the equipment under the current real-time load demand, which is used to initially define the operating range of the energy supply equipment.

[0092] It should be noted that the main purpose of using time-domain intersection processing in this embodiment is to determine the effective operating period that satisfies both the hydrogen source availability constraint and the real-time load demand, based on the available time period of the hydrogen source equipment and the initial power supply period of the actual demand, so as to form an accurate coordinated power supply sequence and thus ensure the stability and reliability of the subsequent hydrogen-ethanol combined heat and power supply.

[0093] For example, continuing the above example, assuming the initial power supply timing is the combined heat and power demand period (08:10-09:00) and (13:05-14:00) determined by the load monitoring data, and the set of available hydrogen source intervals is the effective hydrogen source period (08:15-09:30) and (13:10-14:20) determined according to the aforementioned steps, this embodiment first extracts the start time 08:10, 13:05 and the end time 09:00, 14:00 of the initial power supply timing to form the initial timing segments (08:10-09:00) and (13:05-14:00).

[0094] Furthermore, in this embodiment, the effective hydrogen source segments (08:15-09:30) and (13:10-14:20) are extracted sequentially, and then time-domain overlap calculations are performed with the initial time series segments one by one. Through calculation, it can be determined that the overlap interval between the effective hydrogen source segment (08:15-09:30) and the initial time series segment (08:10-09:00) is (08:15-09:00), and the overlap interval between the effective hydrogen source segment (13:10-14:20) and the initial time series segment (13:05-14:00) is (13:10-14:00). Then, the initial time series segments with time overlap are marked, and these overlapping parts are extracted to finally form the coordinated energy supply time series, namely (08:15-09:00) and (13:10-14:00).

[0095] It is understandable that, through the above-mentioned time-domain intersection processing, this embodiment can accurately select the energy supply sequence that meets the availability requirements of hydrogen source equipment and effectively covers real-time load demand, solving the problem of energy output fluctuation caused by the intermittent mismatch between load demand and hydrogen source supply in traditional technologies, and effectively improving the stability and energy supply continuity of the combined power and heat system.

[0096] The start and end times of each effective hydrogen source segment are time-domain overlapped with the start and end times of the initial time series segment, respectively. Initial time series segments with overlapping relationships are marked, including:

[0097] Traverse each initial time series segment and extract the start and end times of that initial time series segment;

[0098] For each initial time series segment, it is compared with the effective hydrogen source segment in turn to calculate whether there is a time overlap between the initial time series segment and the effective hydrogen source segment;

[0099] If the initial time series segment overlaps with the effective hydrogen source segment, then the initial time series segment is marked as an effective segment.

[0100] Merge all marked valid segments and mark the initial time sequence segments that have overlapping relationships.

[0101] In this embodiment, the purpose of time-domain overlap calculation is to accurately identify the time periods in the initial time sequence that can directly correspond to the effective hydrogen source segment, thereby clarifying the effective time periods that can stably achieve hydrogen source power supply, and laying the foundation for subsequent accurate collaborative power supply schemes.

[0102] Specifically, first, the initial time series segments are traversed. In the example above, the initial time series segments are (08:10-09:00) and (13:05-14:00). For the initial time series segment (08:10-09:00), the start time 08:10 and the end time 09:00 are extracted. For the initial time series segment (13:05-14:00), the start time 13:05 and the end time 14:00 are extracted.

[0103] Furthermore, the initial time series segments are compared one by one with the effective hydrogen source segments (08:15-09:30) and (13:10-14:20). By calculating the intersection of the time periods, it is determined that the initial time series segment (08:10-09:00) and the effective hydrogen source segment (08:15-09:30) have a time intersection (08:15-09:00), while the initial time series segment (13:05-14:00) and the effective hydrogen source segment (13:10-14:20) have a time intersection (13:10-14:00). Therefore, the initial time series segments (08:10-09:00) and (13:05-14:00) are marked as effective segments.

[0104] Finally, in this embodiment, all marked valid segments are merged to form initial time sequence segments with overlapping markings, namely (08:15-09:00) and (13:10-14:00), thereby forming a clear coordinated power supply time sequence.

[0105] It should be noted that this process achieves a precise correspondence between the initial timing segment and the effective hydrogen source segment, effectively overcoming the instability of equipment operation caused by inaccurate timing matching in existing technologies, and ensuring the continuity and stability of the output of the hydrogen-ethanol combined heat and power system.

[0106] Extract the start and end times from the initial power supply timing sequence to form the initial timing segment, including:

[0107] Calculate the first-order gradient of load value from real-time load demand data, and identify load abrupt change intervals where the gradient exceeds a preset response threshold;

[0108] Based on the thermal inertia response time constant of the power supply equipment, time axis feedforward compensation is performed on the rising edge of the load change interval to determine the initial power supply start time including preheating advance.

[0109] Based on the load value decrease and the waste heat dissipation delay time, the termination time of equipment shutdown in the initial power supply sequence is determined, forming an initial sequence segment that matches the dynamic response characteristics of the equipment.

[0110] In this embodiment, the core purpose of extracting the start and end times in the initial power supply time sequence to form the initial time sequence segment is to solve the response delay problem caused by the traditional method of determining the power supply period solely based on changes in the absolute value of the load. The specific method is to calculate the first-order gradient of the real-time load demand data to accurately capture the timing of equipment startup or shutdown caused by rapid load changes.

[0111] Specifically, by calculating the first-order gradient of the load value at each moment in the real-time load demand data, the load mutation interval where the gradient mutation significantly exceeds the preset response threshold is identified. For example, based on the aforementioned example, the load value rapidly increases from 50kW to 100kW at 08:10. The gradient at that moment is calculated to be 50kW / min, which exceeds the preset response threshold of 30kW / min, thus identifying the load mutation interval starting at 08:10.

[0112] Furthermore, considering that the power supply equipment itself has thermal inertia and cannot achieve real-time response to load changes, this embodiment introduces a preheating advance amount. By using the equipment's preset thermal inertia response time constant (e.g., 5 minutes), the time axis is fed forward to compensate for the start time of the load change interval 08:10, and the initial power supply start time is determined to be 08:05, so as to ensure that the equipment can reach the rated output state in time when the load demand suddenly increases.

[0113] Similarly, based on the point of change in load value, for example, if the load drops rapidly from 100kW to 50kW at 08:55, combined with the equipment's waste heat dissipation delay time (e.g., 5 minutes), the termination time of equipment shutdown is delayed to 09:00, thus forming an initial timing segment (08:05-09:00). This initial timing segment is highly matched with the dynamic response characteristics of the equipment.

[0114] It should be noted that this embodiment, by combining gradient calculation with the thermal inertia characteristics of the equipment, significantly improves the response capability of the hydrogen alcohol combined heat and power system to rapid changes in real-time load demand, effectively reduces the equipment operation fluctuations caused by response delay in the prior art, and ensures the stability of the system and the continuity of output.

[0115] S30: Construct a multi-source topology model based on the coordinated power supply time sequence, and generate power supply topology constraint information based on the topological association relationship between nodes in the multi-source topology model;

[0116] A multi-source topology model is constructed based on the coordinated power supply time sequence, and power supply topology constraint information is generated based on the topological relationships between nodes in the multi-source topology model, including:

[0117] The time window corresponding to the coordinated energy supply sequence is analyzed, the preset operating logic of each energy device within the time window is retrieved, and the activation flag of the device node is determined based on the preset operating logic.

[0118] Using the device nodes with activation markers as topology nodes, draw the topology connection paths between nodes and record the device node numbers connected to each topology connection path;

[0119] Traverse all topology connection paths, extract the device node number corresponding to each topology connection path, and form topology node number pairs;

[0120] Generate power supply topology constraint information based on all topology node number pairs.

[0121] In this embodiment, the purpose of constructing a multi-source topology model based on the coordinated energy supply sequence is to clarify the linkage relationship of each energy device during actual operation, so as to facilitate precise and efficient coordinated control of the hydrogen alcohol, electricity and heat four-source integrated energy system. Specifically, firstly, based on the specific operating time period determined by the coordinated energy supply sequence, the specific operating logic of each energy device during this time period is clarified. This operating logic includes key information such as the device start-up and shutdown sequence and the direction of energy flow transmission.

[0122] Furthermore, this embodiment determines the activation flag of the energy device node through preset operation logic. The activation flag is used to clarify whether the device node participates in actual operation. For example, the device is marked as "1" when it is activated and as "0" when it is not activated, thereby accurately distinguishing the energy devices that actually participate in the operation.

[0123] For example, continuing the coordinated power supply timing (08:15-09:00) and (13:10-14:00) obtained from the previous example, with (08:15-09:00) as the specific time window, this embodiment retrieves the device operation logic within this window. Assuming that the operation logic of hydrogen source node H1, power supply node E1, alcohol-thermal node A1 and heat source node T1 is that hydrogen, alcohol, electricity and heat operate together, the above four nodes are marked as active, that is, marked as (H1=1, E1=1, A1=1, T1=1).

[0124] After identifying the active nodes, these nodes are used as topology nodes, and topology connection paths between nodes are drawn according to the actual physical connection relationships. Specifically, for example, the node connection path is drawn as {(A1,T1), (H1,A1), (A1,T1)}, which means that the hydrogen source node H1 is connected to both the power source node E1 and the alcohol-thermal node A1, while the alcohol-thermal node A1 is further connected to the heat source node T1.

[0125] Furthermore, in this embodiment, all the drawn topology connection paths are traversed one by one to extract the device node number corresponding to each path, forming a clear and specific topology node number pair. Continuing the above example, this embodiment represents the extracted topology node number pair as {(H1,E1), (H1,A1), (A1,T1)}. This node number pair clearly defines the energy transmission path and topology structure of each energy device.

[0126] Finally, this embodiment generates power supply topology constraint information based on all the determined topology node numbers. This topology constraint information specifically represents the effective path combination for energy transmission between nodes, thereby providing clear and precise constraints for the coordinated control of subsequent combined energy supply. This solves the problems of unstable energy output and excessive switching errors caused by unclear topology in the prior art, and significantly improves the continuity and stability of power supply in the integrated energy system.

[0127] Using device nodes with activation markers as topology nodes, draw the topology connection paths between nodes and record the device node numbers connected to each topology connection path, including:

[0128] Iterate through each active marker node and extract the device node numbers adjacent to that active marker node;

[0129] Verify the physical connection configuration between each active marker node and its adjacent device nodes, record the device node pairs that are confirmed to have physical connections, and extract the active markers of the two nodes in the device node pairs that have physical connections.

[0130] When both nodes in a device node pair have an activation flag, draw the topology connection path between the node pair and record the device node numbers connected by the topology connection path.

[0131] In this embodiment, the purpose of using device nodes with activation markers as topology nodes and drawing topology connection paths between nodes is to accurately determine the effective and real physical connection relationships between energy devices, thereby achieving accurate path planning during combined energy supply and avoiding power supply errors and system instability caused by unclear connection paths.

[0132] Specifically, in this embodiment, for each device node marked as active, the device node number directly adjacent to it is extracted one by one. The adjacent device node refers to the device node that is directly connected to the current device node through a physical interface in the actual layout of the energy system. This step ensures that the basic information for drawing the subsequent topology connection path is accurate.

[0133] Furthermore, to ensure the actual validity of the topology connection path, this embodiment needs to verify whether there is a real physical connection configuration between each activated node and its neighboring nodes. This is done by verifying each node one by one through a pre-stored device connection configuration database. For example, continuing with the above collaborative power supply timing example (08:15-09:00), assuming that the hydrogen source node H1 is marked as active, the device connection configuration database is used to verify that the neighboring nodes of node H1 are the power supply node E1 and the alcohol-thermal node A1, and to confirm that the physical interfaces between H1 and E1 and between H1 and A1 are real, valid and correctly configured.

[0134] After completing the physical connection configuration verification, this embodiment further verifies the activation mark of each pair of adjacent nodes, that is, confirms whether the two nodes in the node pair are active at the same time. For example, if the above node pairs (H1,E1) and (H1,A1) both meet this condition (H1=1, E1=1, A1=1), then the node pair can be clearly used for subsequent topology path drawing.

[0135] Finally, in this embodiment, after confirming that both nodes are active and the physical connection is real and effective, a clear topology connection path is drawn and the corresponding device node number is recorded. For example, the clear topology connection path drawing result in the above example is {(H1,E1), (H1,A1)}. The specific record of this topology connection path is the connection path number pair, which is used to guide the accurate execution of the subsequent integrated energy supply scheme.

[0136] It should be noted that the process of drawing and recording the topological connection path clearly defined in this embodiment can effectively avoid the power supply errors caused by fuzzy path planning or inaccurate connection relationships in the prior art, effectively improve the stability and reliability of the system's power supply process, and ensure the precise and coordinated operation of the hydrogen alcohol-electric-thermal four-source energy system.

[0137] Traverse all topology connection paths, extract the device node number corresponding to each topology connection path, and form topology node number pairs, including:

[0138] Obtain the starting and ending device nodes for each topology connection path, and extract the energy transmission loss coefficient and switching response delay between the two nodes from the preset device attribute database;

[0139] Based on the energy transmission loss coefficient and switching response delay, calculate the energy flow damping entropy of the topology connection path;

[0140] All topological connection paths are prioritized according to the order of energy flow damping entropy from low to high. Topological connection paths whose damping entropy meets the preset stability conditions are selected, and their corresponding topological node number pairs are extracted.

[0141] In this embodiment, the main purpose of traversing all topological connection paths and extracting device node numbers to form topological node number pairs is to accurately select effective paths suitable for stable energy supply based on the characteristic parameters of the actual connection paths between energy devices, thereby avoiding energy supply fluctuations caused by differences in path characteristics during actual energy supply and ensuring the reliability of the overall energy system.

[0142] Specifically, this embodiment first obtains the starting and ending device nodes of each topology connection path, and extracts the energy transmission loss coefficient and switching response delay parameters between the corresponding nodes from the device attribute database to quantitatively evaluate the characteristic differences of different paths. For example, continuing the aforementioned topology connection path example {(H1,E1), (H1,A1)}, the energy transmission loss coefficient of path (H1,E1) is 0.05 and the switching response delay is 2 seconds, while the energy transmission loss coefficient of path (H1,A1) is 0.03 and the switching response delay is 1 second. These parameters accurately reflect the actual power supply performance of each path.

[0143] Furthermore, based on the two key characteristic parameters mentioned above, this embodiment calculates the energy flow damping entropy for each topological connection path. The energy flow damping entropy essentially reflects the efficiency and stability of energy flow in each path. Specifically, it can be calculated as a weighted sum of the energy transmission loss coefficient and the switching response delay. For example, for path (H1, E1), the damping entropy is calculated as 0.05 × 0.6 + 2 × 0.4 = 0.83, and for path (H1, A1), the damping entropy is calculated as 0.03 × 0.6 + 1 × 0.4 = 0.42. The weights 0.6 and 0.4 represent the importance of the corresponding parameters in the actual evaluation process.

[0144] Furthermore, in this embodiment, all paths are sorted from low to high based on the calculated damping entropy to clearly identify the better energy flow path. In the above example, the priority of the sorted paths is (H1,A1) (0.42) is better than (H1,E1) (0.83). Subsequently, this embodiment selects the paths whose damping entropy meets the preset stability condition. For example, if the preset damping entropy stability threshold is 0.7, then only the path (H1,A1) meets the condition, and its corresponding topology node number pair (H1,A1) is extracted.

[0145] It should be noted that by performing precise calculations and reasonable screening of the energy characteristics and response delay characteristics of the topological path in this embodiment, the problems of low energy transmission efficiency and power supply response delay caused by the traditional method not fully considering the differences in path characteristics can be significantly improved. This effectively enhances the continuity and reliability of the overall system in practical applications and significantly strengthens the stability of the integrated energy system for hydrogen alcohol, electricity and heat.

[0146] S40: Perform node mapping processing on the collaborative power supply timing based on the power supply topology constraint information to determine the collaborative output scheme of hydrogen alcohol electrothermal.

[0147] In this embodiment, the core purpose of performing node mapping processing on the collaborative power supply timing based on the power supply topology constraint information is to achieve a precise match between the operating timing of energy devices and the actual physical topology, thereby determining a hydrogen alcohol electrothermal collaborative output scheme that meets the actual operating conditions and effectively avoiding the energy flow fluctuation problem caused by the inaccurate matching of energy nodes and power supply timing in traditional methods.

[0148] Specifically, this embodiment is based on the aforementioned energy supply topology constraint information, such as the topology node number pair (H1, A1). This topology node number pair clearly indicates that there is an actual topology connection between the hydrogen energy node H1 and the alcohol energy node A1 that meets the stable operating conditions. On this basis, this embodiment further performs node mapping according to the coordinated energy supply time sequence (08:15-09:00) and (13:10-14:00), that is, it is clear that the hydrogen energy device H1 and the alcohol energy device A1 corresponding to the above topology path (H1, A1) should specifically carry out actual energy coordinated operation within this time sequence.

[0149] Furthermore, this embodiment addresses the matching of collaborative energy supply timing and topology constraint information by determining specific operation scheduling schemes through node mapping of specific energy devices. For example, during the collaborative energy supply timing of 08:15-09:00, hydrogen energy node H1 is prioritized as the main energy supply node due to its good continuity of hydrogen supply, while alcohol energy node A1 serves as an auxiliary backup node to reduce the impact of fluctuations in the main node. In addition, the electric heating energy node E1 and the thermal energy node T1 are combined as stable output support, thereby forming a specific hydrogen-alcohol-electric-thermal collaborative output scheme to ensure continuous and stable energy output during the period of 08:15-09:00.

[0150] For example, in the coordinated energy supply sequence of the above example (13:10-14:00), if the stable operating condition of hydrogen energy node H1 fluctuates significantly during this period, it can be automatically mapped to the backup alcohol energy node A1 after node mapping processing. Node A1 will then start switching in real time to take over the role of main energy supply. At the same time, it will coordinate with electric heating energy node E1 to assist in quickly compensating for the energy supply gap, thereby ensuring a stable supply of 100kW electric heating load demand during this period. Meanwhile, thermal energy node T1 will maintain a stable heat output, ensuring that the overall energy system outputs stably during operation.

[0151] It should be noted that this embodiment achieves a precise combination of collaborative power supply timing and actual physical topology through node mapping, effectively overcoming the shortcomings of traditional static scheduling and simple time alignment methods, and significantly improving the power supply continuity, response timeliness and overall operational reliability of the hydrogen alcohol-electric-thermal four-source complementary integrated energy control method in practical applications.

[0152] Example 2

[0153] like Figure 2 As shown, the parts not detailed in this embodiment are as described in Embodiment 1. This embodiment provides a hydrogen alcohol, electricity, and heat four-source complementary integrated energy control system. The system can be deployed on a cloud server, enterprise local server, or edge computing node, and includes at least one processor, memory, and communication interface. The communication interface interacts with the user terminal via wired and / or wireless networks. The memory pre-stores a computer program that can run on the processor. When the program is executed by the processor, it forms the following functional modules:

[0154] Available Range Module: Used to acquire historical operating data and real-time monitoring data of hydrogen source, determine the available time period of hydrogen source operation based on the historical operating data and real-time monitoring data of hydrogen source, and generate a set of available hydrogen source ranges mapped to the current time axis;

[0155] Timing Coordination Module: Used to acquire real-time load demand data, determine the initial energy supply timing based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply timing in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply timing.

[0156] Topology constraint module: used to construct a multi-source topology model based on the coordinated power supply time sequence, and generate power supply topology constraint information based on the topological association relationship between nodes in the multi-source topology model;

[0157] Collaborative output module: Used to perform node mapping processing on the collaborative power supply timing based on the power supply topology constraint information, and determine the collaborative output scheme of hydrogen alcohol electrothermal.

[0158] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A comprehensive energy control method for hydrogen alcohol, electricity, and heat sources complementing each other, characterized in that, Includes the following steps: Obtain historical operating data and real-time monitoring data of the hydrogen source. Based on the historical operating data and real-time monitoring data of the hydrogen source, determine the available time periods for the operation of the hydrogen source and generate a set of available hydrogen source intervals mapped to the current time axis. Acquire real-time load demand data, determine the initial energy supply sequence based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply sequence in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply sequence. A multi-source topology model is constructed based on the collaborative power supply time sequence, and power supply topology constraint information is generated based on the topological relationships between nodes in the multi-source topology model. Based on the energy supply topology constraint information, node mapping processing is performed on the collaborative energy supply timing to determine the collaborative output scheme of hydrogen alcohol electrothermal. A multi-source topology model is constructed based on the coordinated power supply time sequence, and power supply topology constraint information is generated based on the topological relationships between nodes in the multi-source topology model, including: The time window corresponding to the coordinated energy supply sequence is analyzed, the preset operating logic of each energy device within the time window is retrieved, and the activation flag of the device node is determined based on the preset operating logic. Using the device nodes with activation markers as topology nodes, draw the topology connection paths between nodes and record the device node numbers connected to each topology connection path; Traverse all topology connection paths, extract the device node number corresponding to each topology connection path, and form topology node number pairs; Generate power supply topology constraint information based on all topology node number pairs; Using device nodes with activation markers as topology nodes, draw the topology connection paths between nodes and record the device node numbers connected to each topology connection path, including: Iterate through each active marker node and extract the device node numbers adjacent to that active marker node; Verify the physical connection configuration between each active marker node and its adjacent device nodes, record the device node pairs that are confirmed to have physical connections, and extract the active markers of the two nodes in the device node pairs that have physical connections. When both nodes in a device node pair have an activation flag, draw the topology connection path between the node pair and record the device node numbers connected by the topology connection path.

2. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 1, characterized in that, Based on historical operational data and real-time monitoring data of the hydrogen source, the available operating periods of the hydrogen source are determined, and a set of available hydrogen source intervals mapped to the current time axis is generated, including: Identify the start and end points of the operating conditions of the hydrogen source equipment based on historical operating data of the hydrogen source, and form historical operating condition time periods. The stable operating point of the hydrogen source equipment is detected based on real-time monitoring data of the hydrogen source, and the real-time operating period is determined based on the operating status between adjacent stable operating points. Based on the start and end points of historical operating conditions, operating condition characteristics are matched with the stable operating points of real-time operating conditions to form operating condition matching periods. A continuous evaluation of hydrogen source power supply conditions is conducted for the operating condition matching period to determine historical reference power supply periods that meet the continuous operation conditions of hydrogen source equipment. Extract the duration and relative time offset of historical reference power supply periods, map them to the current real-time operating period, determine the available time periods for hydrogen source operation, and generate a set of available hydrogen source intervals.

3. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 2, characterized in that, Based on the start and end points of historical operating condition periods, operating condition characteristics are matched with stable operating points of real-time operating condition periods to form operating condition matching periods, including: For each historical operating condition period, set corresponding historical start time markers and historical end time markers for the start and end points of the equipment operating condition. Determine the real-time stable time marker based on the actual time when the stable operating point occurs within the real-time operating condition period. Based on the real-time stable time marker, the historical start time marker and historical end time marker are compared sequentially to determine the similarity of the historical operating conditions and the time overlap between the historical operating conditions and the real-time stable time. Historical operating condition time periods that contain at least one real-time stable time marker and whose operating condition similarity meets a preset threshold are selected to form historical and real-time operating condition matching time periods.

4. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 1, characterized in that, By performing time-domain intersection processing on the initial energy supply time series using the set of available hydrogen source intervals, a coordinated energy supply time series is obtained, including: Extract the start and end times from the initial power supply timing sequence to form the initial timing segment; Extract the start and end times of each available hydrogen source interval from the set of available hydrogen source intervals to form an effective hydrogen source segment; The start and end times of each effective hydrogen source segment are time-domain overlapped with the start and end times of the initial time series segment, and the initial time series segments with overlapping relationships are marked. Extract the time overlap between the marked initial time sequence segment and the effective hydrogen source segment to obtain the coordinated energy supply time sequence.

5. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 4, characterized in that, The start and end times of each effective hydrogen source segment are time-domain overlapped with the start and end times of the initial time series segment, respectively. Initial time series segments with overlapping relationships are marked, including: Traverse each initial time series segment and extract the start and end times of that initial time series segment; For each initial time series segment, it is compared with the effective hydrogen source segment in turn to calculate whether there is a time overlap between the initial time series segment and the effective hydrogen source segment; If the initial time series segment overlaps with the effective hydrogen source segment, then the initial time series segment is marked as an effective segment. Merge all marked valid segments and mark the initial time sequence segments that have overlapping relationships.

6. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 4, characterized in that, Extract the start and end times from the initial power supply timing sequence to form the initial timing segment, including: Calculate the first-order gradient of load value from real-time load demand data, and identify load abrupt change intervals where the gradient exceeds a preset response threshold; Based on the thermal inertia response time constant of the power supply equipment, time axis feedforward compensation is performed on the rising edge of the load change interval to determine the initial power supply start time including preheating advance. Based on the load value decrease and the waste heat dissipation delay time, the termination time of equipment shutdown in the initial power supply sequence is determined, forming an initial sequence segment that matches the dynamic response characteristics of the equipment.

7. The integrated energy control method for hydrogen alcohol, electricity, and heat sources as described in claim 1, characterized in that, Traverse all topology connection paths, extract the device node number corresponding to each topology connection path, and form topology node number pairs, including: Obtain the starting and ending device nodes for each topology connection path, and extract the energy transmission loss coefficient and switching response delay between the two nodes from the preset device attribute database; Based on the energy transmission loss coefficient and switching response delay, calculate the energy flow damping entropy of the topology connection path; All topological connection paths are prioritized according to the order of energy flow damping entropy from low to high. Topological connection paths whose damping entropy meets the preset stability conditions are selected, and their corresponding topological node number pairs are extracted.

8. A hydrogen alcohol-electricity-thermal four-source complementary integrated energy control system, based on the implementation of the hydrogen alcohol-electricity-thermal four-source complementary integrated energy control method according to any one of claims 1-7, characterized in that, include: Available Range Module: Used to acquire historical operating data and real-time monitoring data of hydrogen source, determine the available time period of hydrogen source operation based on the historical operating data and real-time monitoring data of hydrogen source, and generate a set of available hydrogen source ranges mapped to the current time axis; Timing Coordination Module: Used to acquire real-time load demand data, determine the initial energy supply timing based on the real-time load demand data, and perform time-domain intersection processing on the initial energy supply timing in combination with the set of available hydrogen source intervals to obtain the coordinated energy supply timing. Topology constraint module: used to construct a multi-source topology model based on the coordinated power supply time sequence, and generate power supply topology constraint information based on the topological association relationship between nodes in the multi-source topology model; Collaborative output module: Used to perform node mapping processing on the collaborative power supply timing based on the power supply topology constraint information, and determine the collaborative output scheme of hydrogen alcohol electrothermal.

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