Energy distribution system and method applied to hybrid energy storage
The automated power distribution method using a hybrid energy storage system solves the problems of high cost and insufficient timeliness of manual power distribution during long power outages, achieving automated, timely, and efficient power distribution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JINGPIN ELECTRIC CO LTD
- Filing Date
- 2023-03-03
- Publication Date
- 2026-06-26
Smart Images
Figure CN116191513B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power transmission and distribution technology, and in particular to an energy distribution system and method for hybrid energy storage. Background Technology
[0002] Currently, in the industrial production sector, to avoid the impact of sudden power outages and other power-related events on industrial production, industrial production plants are equipped with energy storage devices. These devices are powered by the State Grid and then supply power to various electrical equipment within the plant. In the event of a power outage, the energy storage devices can still use the stored energy to provide backup power to the electrical equipment within the plant.
[0003] However, in the event of a prolonged power outage, the energy storage capacity of the energy storage devices is limited. Management personnel must allocate power based on the priority of different devices within the factory area, and then the energy storage devices will distribute it. For example, if workshop A is rushing to fulfill orders, power will be prioritized for the devices in workshop A, with some energy reserved. However, this approach is labor-intensive, and management personnel need to understand the needs of each device in the factory area and determine priorities before allocating power. This leads to insufficient timeliness in determining the power allocation plan, resulting in a certain degree of waste of stored energy as the energy storage devices supply power to every device in the initial stages of the outage. Therefore, a solution is urgently needed. Summary of the Invention
[0004] One of the objectives of this invention is to provide an energy distribution method for hybrid energy storage that eliminates the need for managers to determine the power distribution scheme, thereby reducing labor costs. The system automatically formulates the power distribution scheme as soon as it determines the timeliness of the power distribution scheme determination.
[0005] An energy distribution method for hybrid energy storage provided in this embodiment of the invention includes:
[0006] The first state information acquisition module is used to acquire the first state information of the energy supply end that supplies energy to the hybrid energy storage warehouse;
[0007] The power supply allocation reservation timing determination module is used to determine whether to enter the power supply allocation reservation timing based on the first state information;
[0008] The second state information acquisition module is used to acquire the second state information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse if the condition is met.
[0009] The energy allocation reservation scheme formulation module is used to formulate an energy allocation reservation scheme based on the second state information.
[0010] The energy distribution control module is used to control the energy supply from the hybrid energy storage warehouse to the energy user based on the energy distribution reservation scheme.
[0011] Preferably, the power supply allocation reservation timing determination module determines whether to enter the power supply allocation reservation timing based on the first state information, including:
[0012] Update the preset energy distribution reserve experience database;
[0013] Based on the experience base of energy allocation reservation, a model for determining the timing of energy allocation reservation is trained.
[0014] The first state information is input into the energy supply reservation timing determination model to determine whether to enter the energy supply allocation reservation timing.
[0015] Preferably, the power allocation reservation timing determination module updates the preset power allocation reservation experience library, including:
[0016] Obtain the first energy allocation reservation history of the hybrid energy storage warehouse and store it in the energy allocation reservation experience database;
[0017] Based on a preset information acquisition template, acquire the energy storage information of the hybrid energy storage warehouse;
[0018] Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions;
[0019] The second energy allocation reservation history of other hybrid energy storage warehouses that meet all the conditions of energy storage warehouses is determined from the preset energy allocation reservation history shared library and stored in the energy allocation reservation experience library.
[0020] Among them, a template library is generated based on energy storage warehouse information and preset energy storage warehouse conditions, generating multiple energy storage warehouse conditions, including:
[0021] Extract any energy storage warehouse condition generation template from the energy storage warehouse condition generation template library;
[0022] Obtain the first information type for the energy storage warehouse condition generation template;
[0023] Identify the first target information of the first information type from the energy storage warehouse information;
[0024] Based on the template for generating energy storage warehouse conditions, the energy storage warehouse conditions are generated according to the first target information.
[0025] Preferably, the energy allocation reservation scheme formulation module formulates an energy allocation reservation scheme based on the second state information, including:
[0026] Based on the second state information, determine the reserved weight of the energy-consuming end;
[0027] Based on the reserved weights of each energy-consuming end, a first reserved weight distribution is generated;
[0028] Obtain a preset energy allocation reserved scheme library, which includes: multiple sets of one-to-one corresponding second reserved weight distributions and scheme items;
[0029] The first reserved weight distribution is matched with any second reserved weight distribution to obtain the matching degree;
[0030] When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched will be used as the energy allocation reserved scheme.
[0031] Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated;
[0032] Obtain the third state information of the hybrid energy storage warehouse;
[0033] Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each energy-consuming end in the preset energy supply simulation model, and the energy supply simulation results are obtained.
[0034] Based on the preset energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain the evaluation value and the shortcomings of the scheme.
[0035] The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected.
[0036] Based on the deficiencies of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is modified to obtain the energy allocation reservation scheme.
[0037] Among them, the first matching degree threshold is greater than the second matching degree threshold.
[0038] Preferably, the energy allocation reservation scheme formulation module determines the reservation weight of the energy consumer based on the second state information, including:
[0039] Obtain the preset reserved weight determination library, which includes: multiple sets of one-to-one corresponding second target type, status information conditions and compliance degree-sub-weight tables;
[0040] Iterate through the second type in sequence;
[0041] During each traversal, the second target information for the second type is determined from the second state information;
[0042] Determine the degree to which the second target information conforms to the conditions of the second type-specific state information encountered during traversal;
[0043] Determine the sub-weight corresponding to the conformity from the second conformity-sub-weight table corresponding to the type;
[0044] After traversing the second type, the weight of each sub-weight is accumulated to obtain the reserved weight of the power user.
[0045] Preferably, the energy distribution system applied to hybrid energy storage also includes:
[0046] The library standardization module is used to standardize the reserved historical shared library for energy allocation at preset time intervals.
[0047] The database consolidation module consolidates the historical shared database reserved for energy allocation, including:
[0048] Determine the shared history of any shared source in the reserved shared history database for energy allocation from the preset shared history database;
[0049] The shared history will unfold along a preset timeline, yielding multiple historical items;
[0050] Based on a pre-set shared violation history database, each historical item is marked with a violation value;
[0051] Based on cluster identification criteria, multiple historical item clusters are identified from the timeline;
[0052] Get the time span of historical item clusters on the timeline;
[0053] Assign a preset first weight to the time span to obtain the first target value;
[0054] Get the average of the violation values marked for each historical item in the historical item cluster;
[0055] By assigning a pre-defined second weight to the average value, a second target value is obtained;
[0056] Obtain the cluster distance between any two historical item clusters on the timeline;
[0057] A third target value is obtained by assigning a pre-defined third weight to the inverse of the cluster distance;
[0058] The first target value, the second target value, and the third target value are summed to obtain the evaluation value;
[0059] If the evaluation value is greater than or equal to the preset evaluation value threshold, the corresponding shared source is removed.
[0060] The cluster identification conditions include:
[0061] Each historical item in the historical item cluster is marked with a violation value that is greater than or equal to the preset violation value threshold;
[0062] The positional distance difference between any two historical items in a historical item cluster on the timeline is less than or equal to a preset positional distance difference threshold.
[0063] Among them, the first weight is greater than the second weight, which is greater than the third weight.
[0064] An energy distribution method for hybrid energy storage provided by an embodiment of the present invention is characterized by comprising:
[0065] Step S1: Obtain the first status information of the energy supply end that supplies energy to the hybrid energy storage warehouse;
[0066] Step S2: Based on the first state information, determine whether to enter the reserved time for energy allocation;
[0067] Step S3: If yes, obtain the second status information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse;
[0068] Step S4: Based on the second state information, formulate a power supply allocation reservation plan;
[0069] Step S5: Based on the energy distribution reservation plan, control the energy supply from the hybrid energy storage warehouse to the energy user.
[0070] Preferably, step S2: Based on the first state information, determine whether to enter the energy supply allocation reserved time slot, including:
[0071] Update the preset energy distribution reserve experience database;
[0072] Based on the experience base of energy allocation reservation, a model for determining the timing of energy allocation reservation is trained.
[0073] The first state information is input into the energy supply reservation timing determination model to determine whether to enter the energy supply allocation reservation timing.
[0074] Preferably, the updated preset energy distribution reserved experience library includes:
[0075] Obtain the first energy allocation reservation history of the hybrid energy storage warehouse and store it in the energy allocation reservation experience database;
[0076] Based on a preset information acquisition template, acquire the energy storage information of the hybrid energy storage warehouse;
[0077] Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions;
[0078] The second energy allocation reservation history of other hybrid energy storage warehouses that meet all the conditions of energy storage warehouses is determined from the preset energy allocation reservation history shared library and stored in the energy allocation reservation experience library.
[0079] Among them, a template library is generated based on energy storage warehouse information and preset energy storage warehouse conditions, generating multiple energy storage warehouse conditions, including:
[0080] Extract any energy storage warehouse condition generation template from the energy storage warehouse condition generation template library;
[0081] Obtain the first information type for the energy storage warehouse condition generation template;
[0082] Identify the first target information of the first information type from the energy storage warehouse information;
[0083] Based on the template for generating energy storage warehouse conditions, the energy storage warehouse conditions are generated according to the first target information.
[0084] Preferably, step S4: Based on the second state information, formulate an energy allocation reservation plan, including:
[0085] Based on the second state information, determine the reserved weight of the energy-consuming end;
[0086] Based on the reserved weights of each energy-consuming end, a first reserved weight distribution is generated;
[0087] Obtain a preset energy allocation reserved scheme library, which includes: multiple sets of one-to-one corresponding second reserved weight distributions and scheme items;
[0088] The first reserved weight distribution is matched with any second reserved weight distribution to obtain the matching degree;
[0089] When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched will be used as the energy allocation reserved scheme.
[0090] Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated;
[0091] Obtain the third state information of the hybrid energy storage warehouse;
[0092] Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each energy-consuming end in the preset energy supply simulation model, and the energy supply simulation results are obtained.
[0093] Based on the preset energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain the evaluation value and the shortcomings of the scheme.
[0094] The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected.
[0095] Based on the deficiencies of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is modified to obtain the energy allocation reservation scheme.
[0096] Among them, the first matching degree threshold is greater than the second matching degree threshold.
[0097] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.
[0098] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0099] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0100] Figure 1 This is a schematic diagram of an energy distribution system applied to hybrid energy storage in an embodiment of the present invention;
[0101] Figure 2 This is a schematic diagram of an energy distribution method applied to hybrid energy storage in an embodiment of the present invention. Detailed Implementation
[0102] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0103] This invention provides an energy distribution method for hybrid energy storage, such as... Figure 1 As shown, it includes:
[0104] The first state information acquisition module 1 is used to acquire the first state information of the energy supply end that supplies energy to the hybrid energy storage warehouse; wherein, the hybrid energy storage warehouse is an energy storage device that supplies energy to various electrical equipment in the industrial production plant in a mixed and parallel manner, the energy supply end is the national public power grid that supplies energy to the hybrid energy storage warehouse, and the first state information is the historical energy supply amount supplied by the energy supply end to the hybrid energy storage warehouse, etc.
[0105] The power supply allocation reservation timing determination module 2 is used to determine whether to enter the power supply allocation reservation timing based on the first state information;
[0106] The second status information acquisition module 3 is used to acquire the second status information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse if the condition is met; wherein, the energy-consuming terminals are various electrical equipment in the plant area, and the second status information is the production task being performed by the electrical equipment, etc.
[0107] The energy allocation reservation scheme formulation module 4 is used to formulate an energy allocation reservation scheme based on the second state information;
[0108] The energy distribution control module 5 is used to control the energy supply from the hybrid energy storage warehouse to the energy user based on the energy distribution reserved scheme.
[0109] The working principle and beneficial effects of the above technical solution are as follows:
[0110] When the system determines that the power supply allocation reservation period is about to begin, it indicates that the power supply end is about to experience a power outage. The system then prepares a power supply allocation reservation plan in advance and controls the power supply from the hybrid energy storage warehouse to the energy consumption end accordingly. This eliminates the need for management personnel to determine the power allocation plan, reducing labor costs. Furthermore, the system automatically formulates the power allocation plan as soon as the power supply allocation reservation period is determined, further improving the timeliness of the plan's determination.
[0111] In one embodiment, the power supply allocation reservation timing determination module 2 determines whether to enter a power supply allocation reservation timing based on first state information, including:
[0112] Update the preset energy allocation reservation experience library; the energy allocation reservation experience library contains a large amount of energy allocation reservation experience, which is a record of historical manual determination of whether to enter the energy allocation reservation time based on the historical energy supply of the energy supply end to the hybrid energy storage warehouse.
[0113] Based on the experience library of energy allocation reservation, a model for determining the timing of energy allocation reservation is trained. During training, each experience of energy allocation reservation in the library is input into the neural network model for model training to obtain the model for determining the timing of energy allocation reservation. The neural network model will learn from the experience of energy allocation reservation and thus be able to determine the historical energy supply of the energy supply end to the hybrid energy storage warehouse and the state under which the timing of entering the energy allocation reservation is determined.
[0114] The first state information is input into the energy supply reservation timing determination model to determine whether to enter the energy supply allocation reservation timing.
[0115] The working principle and beneficial effects of the above technical solution are as follows:
[0116] An experience database for energy allocation reservation is introduced to train a model for determining the timing of energy allocation reservation. This model is then used to determine whether to enter a reserved energy allocation period, thus improving the accuracy of energy allocation reservation timing determination.
[0117] In one embodiment, the power supply allocation reservation timing determination module 2 updates the preset power supply allocation reservation experience library, including:
[0118] The first energy allocation reservation history of the hybrid energy storage warehouse is obtained and stored in the energy allocation reservation experience database; wherein, the first energy allocation reservation history is the record of whether to enter the energy allocation reservation time in the past by manual determination based on the historical energy supply of the energy supply end to the hybrid energy storage warehouse.
[0119] Based on a preset information acquisition template, the energy storage information of the hybrid energy storage warehouse is obtained; among which, the energy storage warehouse information includes the model of the energy storage equipment, etc.
[0120] Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions;
[0121] The second energy allocation reservation history of other mixed energy storage warehouses that meet all the conditions of all energy storage warehouses is determined from the preset energy allocation reservation history sharing library and stored in the energy allocation reservation experience library; wherein, the energy allocation reservation history in the energy allocation reservation history sharing library is shared by different plant areas. When other mixed energy storage warehouses meet all the conditions of all energy storage warehouses, it means that the energy allocation reservation history of the corresponding other mixed energy storage warehouses is also applicable to the mixed energy storage warehouses in the plant area and is included in the energy allocation reservation experience library;
[0122] Among them, a template library is generated based on energy storage warehouse information and preset energy storage warehouse conditions, generating multiple energy storage warehouse conditions, including:
[0123] Extract any energy storage warehouse condition generation template from the energy storage warehouse condition generation template library;
[0124] Obtain the first targeted information type of the energy storage warehouse condition generation template; wherein, the first targeted information type is the information type used when the energy storage warehouse condition generation template is used, such as: the model of the energy storage equipment, etc.
[0125] Identify the first target information of the first information type from the energy storage warehouse information;
[0126] Based on the energy storage warehouse condition generation template, energy storage warehouse conditions are generated according to the first target information. Specifically, for example: if the energy storage warehouse condition generation template is "the model of other hybrid energy storage warehouses must be xxx", and the first target information is "energy storage warehouse model 182HJ", then the generated energy storage warehouse condition will be "the model of other hybrid energy storage warehouses must be 182HJ".
[0127] The working principle and beneficial effects of the above technical solution are as follows:
[0128] The updated energy allocation reservation experience base enhances the performance of the trained model for determining energy allocation reservation timing. The update process considers not only the first energy allocation reservation history of the plant's own energy storage devices but also the second energy allocation reservation history of other energy storage devices in other plants, improving the comprehensiveness of the update and further enhancing the performance of the trained model. Furthermore, the introduction of energy storage bin conditions when selecting second energy allocation reservation history improves the accuracy of updating the energy allocation reservation experience base based on this second history.
[0129] In one embodiment, the energy allocation reservation scheme formulation module 4 formulates an energy allocation reservation scheme based on the second state information, including:
[0130] Based on the second state information, the reservation weight of the energy-consuming end is determined; where, the larger the reservation weight, the more electrical energy needs to be reserved for the energy-consuming end.
[0131] Based on the reserved weights of each energy consumer, a first reserved weight distribution is generated; wherein, the first reserved weight distribution consists of multiple sets of one-to-one corresponding energy consumers and reserved weights;
[0132] Obtain a preset energy allocation reservation scheme library, which includes: multiple sets of one-to-one corresponding second reservation weight distributions and scheme items; wherein, the second reservation weight distribution is preset, similar to the first reservation weight distribution, and the scheme item is the most suitable energy allocation reservation scheme for each energy user under the second reservation weight distribution, that is, which reservation weight in the second reservation weight distribution reserves how much energy for the energy user.
[0133] The first reserved weight distribution is matched with any second reserved weight distribution to obtain the matching degree;
[0134] When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched is used as the energy allocation reserved scheme; wherein, when the matching degree is greater than or equal to the first matching degree threshold, it means that the first reserved weight distribution is highly similar to the preset second reserved weight distribution, and the corresponding scheme item can be directly adopted;
[0135] Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated;
[0136] Obtain the third state information of the hybrid energy storage compartment; wherein, the third state information includes the remaining power of the hybrid energy storage compartment, etc.
[0137] Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each energy-consuming end in the preset energy supply simulation model to obtain the energy supply simulation results. The energy supply simulation model is a model that simulates the hybrid energy storage warehouse supplying energy to each energy-consuming end, and can be implemented based on electrification simulation software, such as MATLAB. The energy supply simulation results are the events that occur during the simulation process, such as: a certain energy-consuming end cannot support the production line to complete a complete production cycle.
[0138] Based on a pre-defined energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain evaluation values and shortcomings of the proposed solution. The evaluation template includes rules for evaluating the energy supply simulation results, such as: evaluating the number of energy-consuming terminals that cannot support the production line to complete a full production cycle; the larger the number, the smaller the evaluation value; the smaller the evaluation value, the worse the corresponding proposed solution. Shortcomings of the proposed solution are deficiencies of the proposed solution, such as: a certain energy-consuming terminal cannot support the production line to complete a full production cycle.
[0139] The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected.
[0140] Based on the shortcomings of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is corrected to obtain the energy allocation reservation scheme; specifically, for example: if the shortcomings of the scheme are that a certain energy-consuming end cannot support the production line to complete a complete production cycle, then during the correction, the power allocation reservation of that energy-consuming end is increased.
[0141] Among them, the first matching degree threshold is greater than the second matching degree threshold.
[0142] The working principle and beneficial effects of the above technical solution are as follows:
[0143] There are two scenarios for formulating energy allocation reservation schemes. First, if the first reservation weight distribution is highly similar to the pre-set second reservation weight distribution, the corresponding scheme item can be directly adopted as the energy allocation reservation scheme. Second, if the similarity between the first reservation weight distribution and the pre-set second reservation weight distribution is not particularly high, a scheme item with a higher matching degree is selected as the scheme to be simulated. Energy supply simulation is then performed using the second and third state information. Based on the simulation results, the optimal scheme item is selected as the energy allocation reservation scheme. This improves the suitability and accuracy of formulating energy allocation reservation schemes.
[0144] In one embodiment, the energy allocation reservation scheme formulation module 4 determines the reservation weight of the energy consumer based on the second state information, including:
[0145] Obtain a preset reserved weight determination library, which includes: multiple sets of one-to-one corresponding second target types, status information conditions, and compliance degree-sub-weight tables; wherein, the second target type is the information type that the status information conditions need to target, such as: the production task that the electrical equipment is currently performing;
[0146] Iterate through the second type in sequence;
[0147] During each traversal, the second target information for the second type is determined from the second state information;
[0148] Determine the degree of conformity of the second target information with the state information conditions corresponding to the second type that have been traversed; wherein, the state information conditions are based on the conditions for determining the size of the power demand at the energy end according to the second target information. For example, if the production task priority is ≥5, the conformity is 4 / 5 when the priority of the production task being executed by the power equipment is 4, and the conformity is 1 when the priority is 5 or greater than 5.
[0149] The sub-weights corresponding to the conformity degree are determined from the second conformity degree-sub-weight table corresponding to the type. The conformity degree-sub-weight table contains sub-weights corresponding to different conformity degrees. The larger the sub-weight, the greater the electricity demand at the energy end.
[0150] After traversing the second type, the weight of each sub-weight is accumulated to obtain the reserved weight of the power user.
[0151] The working principle and beneficial effects of the above technical solution are as follows:
[0152] By introducing a reserved weight determination library, the reserved weights of the energy-consuming end can be quickly determined, thus improving the efficiency of reserved weight determination.
[0153] In one embodiment, the energy distribution system applied to hybrid energy storage further includes:
[0154] The library standardization module is used to standardize the reserved historical shared library for energy allocation at preset time intervals.
[0155] The database consolidation module consolidates the historical shared database reserved for energy allocation, including:
[0156] The shared history of any shared source in the energy allocation reserved history shared database is determined from the preset shared history database; where the shared source is other plant areas and the shared history is the energy allocation reserved history uploaded to the database by other plant areas in the past.
[0157] Expand the shared history on a preset timeline to obtain multiple historical items; when expanding, the historical time of the shared history is set to correspond with the corresponding time point on the timeline.
[0158] Based on a pre-set shared violation history database, each historical item is marked with a violation value. The shared violation history database contains shared violation history of unreliable power supply reservation allocation experience uploaded by different shared sources in the past. Unreliable means, for example, that the person who generated the power supply reservation allocation experience has insufficient experience. The greater the degree of violation in the shared violation history, the greater the violation value marked on the historical item.
[0159] Based on cluster identification criteria, multiple historical item clusters are identified from the timeline;
[0160] Obtain the time span of the historical item cluster on the timeline; where the time span is the difference in positional distance between the first and last historical items within the historical item cluster on the timeline. The larger the time span, the longer the continuity of sharing violations in the history of the shared source.
[0161] Assign a preset first weight to the time span to obtain a first target value; wherein, when assigning the weight, the first weight is multiplied by the time span to obtain the first target value;
[0162] Get the average of the violation values marked for each historical item in the historical item cluster;
[0163] A second target value is obtained by assigning a pre-defined second weight to the average value; similarly, when assigning the second weight, the two are multiplied together.
[0164] Obtain the cluster distance between any two historical item clusters on the timeline; where the cluster distance is the difference in distance on the timeline between the center positions of two historical item clusters (the midpoint between the positions of the first and last historical items within the historical item cluster); the smaller the cluster distance, the smaller the time interval between consecutive sharing violations and subsequent consecutive sharing violations in the history of the shared source;
[0165] A third target value is obtained by assigning a pre-defined third weight to the inverse of the cluster distance; similarly, when assigning the third weight, the two are multiplied together.
[0166] The first, second, and third target values are summed to obtain an evaluation value; the higher the evaluation value, the less trustworthy the corresponding shared source.
[0167] If the evaluation value is greater than or equal to the preset evaluation value threshold, the corresponding shared source is removed.
[0168] The cluster identification conditions include:
[0169] Each historical item in the historical item cluster is marked with a violation value greater than or equal to a preset violation value threshold; when this condition is met, the degree of sharing violation of the shared source reflected in the historical item cluster is relatively high.
[0170] The positional distance difference between any two historical items in a historical item cluster on the time axis is less than or equal to a preset positional distance difference threshold; when this condition is met, the historical items in the historical item cluster can form a cluster on the time axis.
[0171] Among them, the first weight is greater than the second weight, which is greater than the third weight.
[0172] The working principle and beneficial effects of the above technical solution are as follows:
[0173] The standardization of the shared historical database for energy allocation reservations improves the reliability and accuracy of obtaining other secondary energy allocation reservation histories from other plants. Furthermore, the introduction of historical item clusters and evaluation values during the standardization process enhances the efficiency of the standardization.
[0174] This invention provides an energy distribution method for hybrid energy storage, such as... Figure 2 As shown, it includes:
[0175] Step S1: Obtain the first status information of the energy supply end that supplies energy to the hybrid energy storage warehouse;
[0176] Step S2: Based on the first state information, determine whether to enter the reserved time for energy allocation;
[0177] Step S3: If yes, obtain the second status information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse;
[0178] Step S4: Based on the second state information, formulate a power supply allocation reservation plan;
[0179] Step S5: Based on the energy distribution reservation plan, control the energy supply from the hybrid energy storage warehouse to the energy user.
[0180] In one embodiment, step S2: determining whether to enter the power supply allocation reservation time based on the first state information includes:
[0181] Update the preset energy distribution reserve experience database;
[0182] Based on the experience base of energy allocation reservation, a model for determining the timing of energy allocation reservation is trained.
[0183] The first state information is input into the energy supply reservation timing determination model to determine whether to enter the energy supply allocation reservation timing.
[0184] In one embodiment, updating the preset energy supply allocation reserved experience library includes:
[0185] Obtain the first energy allocation reservation history of the hybrid energy storage warehouse and store it in the energy allocation reservation experience database;
[0186] Based on a preset information acquisition template, acquire the energy storage information of the hybrid energy storage warehouse;
[0187] Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions;
[0188] The second energy allocation reservation history of other hybrid energy storage warehouses that meet all the conditions of energy storage warehouses is determined from the preset energy allocation reservation history shared library and stored in the energy allocation reservation experience library.
[0189] Among them, a template library is generated based on energy storage warehouse information and preset energy storage warehouse conditions, generating multiple energy storage warehouse conditions, including:
[0190] Extract any energy storage warehouse condition generation template from the energy storage warehouse condition generation template library;
[0191] Obtain the first information type for the energy storage warehouse condition generation template;
[0192] Identify the first target information of the first information type from the energy storage warehouse information;
[0193] Based on the template for generating energy storage warehouse conditions, the energy storage warehouse conditions are generated according to the first target information.
[0194] In one embodiment, step S4: Based on the second state information, formulate an energy allocation reservation plan, including:
[0195] Based on the second state information, determine the reserved weight of the energy-consuming end;
[0196] Based on the reserved weights of each energy-consuming end, a first reserved weight distribution is generated;
[0197] Obtain a preset energy allocation reserved scheme library, which includes: multiple sets of one-to-one corresponding second reserved weight distributions and scheme items;
[0198] The first reserved weight distribution is matched with any second reserved weight distribution to obtain the matching degree;
[0199] When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched will be used as the energy allocation reserved scheme.
[0200] Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated;
[0201] Obtain the third state information of the hybrid energy storage warehouse;
[0202] Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each energy-consuming end in the preset energy supply simulation model, and the energy supply simulation results are obtained.
[0203] Based on the preset energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain the evaluation value and the shortcomings of the scheme.
[0204] The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected.
[0205] Based on the deficiencies of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is modified to obtain the energy allocation reservation scheme.
[0206] Among them, the first matching degree threshold is greater than the second matching degree threshold.
[0207] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. An energy distribution system for hybrid energy storage, characterized in that, include: The first state information acquisition module is used to acquire the first state information of the energy supply end that supplies energy to the hybrid energy storage warehouse; The power supply allocation reservation timing determination module is used to determine whether to enter the power supply allocation reservation timing based on the first status information; The second state information acquisition module is used to acquire the second state information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse if the condition is met. The energy allocation reservation scheme formulation module is used to formulate an energy allocation reservation scheme based on the second state information; The energy distribution control module is used to control the energy supply from the hybrid energy storage warehouse to the energy user based on the energy distribution reservation scheme. The power supply allocation reservation timing determination module determines whether to enter the power supply allocation reservation timing based on the first status information, including: Update the preset energy distribution reserve experience database; Based on the aforementioned energy allocation reservation experience base, a model for determining the timing of energy allocation reservation is trained. The first state information is input into the energy allocation reservation timing determination model to determine whether to enter the energy allocation reservation timing. The energy allocation reservation scheme formulation module formulates an energy allocation reservation scheme based on the second state information, including: Based on the second state information, the reserved weight of the energy-consuming end is determined; Based on the reserved weights of each of the energy-consuming terminals, a first reserved weight distribution is generated; Obtain a preset energy allocation reserved scheme library, which includes: multiple sets of one-to-one corresponding second reserved weight distributions and scheme items; The first reserved weight distribution is matched with any one of the second reserved weight distributions to obtain the matching degree; When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched is taken as the energy allocation reserved scheme. Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated; Obtain the third state information of the hybrid energy storage module; Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each of the energy-consuming terminals in a preset energy supply simulation model, and the energy supply simulation results are obtained. Based on a preset energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain evaluation values and shortcomings of the scheme. The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected. Based on the deficiencies of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is corrected to obtain the energy allocation reservation scheme. Wherein, the first matching degree threshold is greater than the second matching degree threshold.
2. The energy distribution system for hybrid energy storage as described in claim 1, characterized in that, The power supply allocation reservation timing determination module updates the preset power supply allocation reservation experience database, including: Obtain the first energy allocation reservation history of the hybrid energy storage warehouse and store it in the energy allocation reservation experience database; Based on a preset information acquisition template, the energy storage information of the hybrid energy storage warehouse is acquired; Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions; The second energy allocation reservation history of other hybrid energy storage warehouses that meet all the conditions of the energy storage warehouses is determined from the preset energy allocation reservation history shared library and stored in the energy allocation reservation experience library; Specifically, a template library is generated based on the energy storage warehouse information and preset energy storage warehouse conditions to generate multiple energy storage warehouse conditions, including: Extract any one of the energy storage warehouse condition generation templates from the energy storage warehouse condition generation template library; Obtain the first information type of the energy storage warehouse condition generation template; The first target information of the first information type is determined from the energy storage warehouse information; Based on the template for generating energy storage warehouse conditions, energy storage warehouse conditions are generated according to the first target information.
3. The energy distribution system for hybrid energy storage as described in claim 1, characterized in that, The energy allocation reservation scheme formulation module determines the reservation weight of the energy consumer based on the second state information, including: Obtain a preset reserved weight determination library, which includes: multiple sets of one-to-one corresponding second target type, status information conditions and compliance degree-sub-weight tables; Iterate through the second type in sequence; During each traversal, the second target information for the second type is determined from the second state information; Determine the degree to which the second target information conforms to the conditions of the second type-specific state information that have been traversed; The sub-weights corresponding to the conformity degree are determined from the second conformity degree-sub-weight table corresponding to the type that has been traversed; After traversing the second type, each sub-weight is calculated cumulatively to obtain the reserved weight of the power-consuming end.
4. An energy distribution system for hybrid energy storage as described in claim 2, characterized in that, Also includes: The library standardization module is used to standardize the reserved historical shared library for energy allocation at preset time intervals. The library standardization module standardizes the reserved historical shared library for energy allocation, including: Determine the shared history of any shared source in the reserved shared history database for energy allocation from the preset shared history database; The shared history is expanded along a preset timeline to obtain multiple historical items; Based on a pre-defined shared violation history database, each historical item is marked with a violation value; Based on the cluster identification criteria, multiple historical item clusters are identified from the timeline; Obtain the time span of the historical item cluster on the timeline; A first weight is assigned to the time span to obtain a first target value; Obtain the average value of the violation values marked for each historical item in the historical item cluster; A second target value is obtained by assigning a preset second weight to the average value; Obtain the cluster distance between any two historical item clusters on the timeline; A third target value is obtained by assigning a pre-defined third weight to the inverse of the cluster distance; The evaluation value is obtained by summing the first target value, the second target value, and the third target value. If the evaluation value is greater than or equal to a preset evaluation value threshold, the corresponding shared source is removed. The cluster identification conditions include: The violation value marked for each historical item in the historical item cluster is greater than or equal to a preset violation value threshold. The positional distance difference between any two historical items in the historical item cluster on the time axis is less than or equal to a preset positional distance difference threshold. Wherein, the first weight is greater than the second weight, which is greater than the third weight.
5. An energy distribution method applied to hybrid energy storage, characterized in that, include: Step S1: Obtain the first status information of the energy supply end that supplies energy to the hybrid energy storage warehouse; Step S2: Based on the first status information, determine whether to enter the energy allocation reserved time slot; Step S3: If yes, obtain the second status information of multiple energy-consuming terminals supplied by the hybrid energy storage warehouse; Step S4: Based on the second state information, formulate a power supply allocation reservation plan; Step S5: Based on the energy supply allocation reservation scheme, control the energy supply from the hybrid energy storage warehouse to the energy user accordingly; Step S2: Based on the first state information, determine whether to enter the energy supply allocation reserved time slot, including: Update the preset energy distribution reserve experience database; Based on the aforementioned energy allocation reservation experience base, a model for determining the timing of energy allocation reservation is trained. The first state information is input into the energy allocation reservation timing determination model to determine whether to enter the energy allocation reservation timing. Step S4: Based on the second state information, formulate an energy allocation reservation plan, including: Based on the second state information, the reserved weight of the energy-consuming end is determined; Based on the reserved weights of each of the energy-consuming terminals, a first reserved weight distribution is generated; Obtain a preset energy allocation reserved scheme library, which includes: multiple sets of one-to-one corresponding second reserved weight distributions and scheme items; The first reserved weight distribution is matched with any one of the second reserved weight distributions to obtain the matching degree; When there is a matching degree greater than or equal to the preset first matching degree threshold, the scheme item corresponding to the second reserved weight distribution that is matched is taken as the energy allocation reserved scheme. Otherwise, the matching degree that is greater than or equal to the preset second matching degree threshold is taken as the target matching degree, and the scheme item corresponding to the second reserved weight distribution that is matched with the target matching degree is taken as the scheme to be simulated; Obtain the third state information of the hybrid energy storage module; Based on the second state information, the third state information, and the simulation scheme, the hybrid energy storage warehouse is simulated to supply energy to each of the energy-consuming terminals in a preset energy supply simulation model, and the energy supply simulation results are obtained. Based on a preset energy supply simulation result evaluation template, the energy supply simulation results are evaluated to obtain evaluation values and shortcomings of the scheme. The simulation scheme corresponding to the maximum evaluation value is taken as the simulation scheme to be corrected. Based on the deficiencies of the scheme corresponding to the maximum evaluation value, the simulation scheme to be corrected is corrected to obtain the energy allocation reservation scheme. Wherein, the first matching degree threshold is greater than the second matching degree threshold.
6. The energy distribution method for hybrid energy storage as described in claim 5, characterized in that, The updated preset energy distribution reserve experience library includes: Obtain the first energy allocation reservation history of the hybrid energy storage warehouse and store it in the energy allocation reservation experience database; Based on a preset information acquisition template, the energy storage information of the hybrid energy storage warehouse is acquired; Based on the energy storage warehouse information and preset energy storage warehouse conditions, a template library is generated to generate multiple energy storage warehouse conditions; The second energy allocation reservation history of other hybrid energy storage warehouses that meet all the conditions of the energy storage warehouses is determined from the preset energy allocation reservation history shared library and stored in the energy allocation reservation experience library; Specifically, a template library is generated based on the energy storage warehouse information and preset energy storage warehouse conditions to generate multiple energy storage warehouse conditions, including: Extract any one of the energy storage warehouse condition generation templates from the energy storage warehouse condition generation template library; Obtain the first information type of the energy storage warehouse condition generation template; The first target information of the first information type is determined from the energy storage warehouse information; Based on the template for generating energy storage warehouse conditions, energy storage warehouse conditions are generated according to the first target information.