Small and micro park flexible demand management method and device, equipment and medium

Abstract

The application discloses a kind of small and micro park flexible demand management method, it is related to power grid dispatching technical field, to solve the problem that existing rigidity regulation has not fully considered workshop production condition, also not fully combined park load and energy storage participates dynamic regulation, the method includes: receiving load type, distribution cabinet electrical parameter and energy storage system electrical parameter;Construction clustering arrangement framework;According to importance, gradually filter load participating response and include dynamic response pool one by one;According to the dynamic response pool, adjust small and micro park incoming line load by sequence control operation, respond to grid demand.The application further discloses a kind of small and micro park flexible demand management device, electronic equipment and computer storage medium.The application realizes small and micro park instant fast response adjustment by flexible demand management of energy storage and load, while ensuring the zero-loss output of workshop production line.

Description

Technical Field

[0001] This invention relates to the field of power grid dispatching technology, and in particular to a method, device, equipment and medium for flexible demand management in small and micro industrial parks. Background Technology

[0002] With the expansion and improvement of the construction of new power systems, extreme weather and natural disasters have brought severe challenges to the safe and stable operation of the power grid, and the power grid regulation gap is widening.

[0003] To address power shortages, the traditional grid dispatching method typically involves adjusting power output to follow load fluctuations, i.e., the source follows the load. Furthermore, traditional demand-side management methods employ "rigid shutdowns," immediately implementing power outages when necessary, impacting continuous production. However, due to production process limitations, some loads cannot be immediately interrupted and therefore cannot participate in real-time response.

[0004] Currently, traditional scheduling methods are insufficient to cover the ever-widening regulation gap, and massive user resources cannot be fully utilized. Existing intraday adjustable load resource pool construction primarily relies on rigid load shedding or branch load control, resulting in production loads being unable to participate in a timely manner, while the regulation capacity of non-production loads is extremely limited. Therefore, it lacks user-friendliness for industrial and commercial users and fails to comprehensively consider the linkage between load and energy storage, thus failing to provide technical support for small and micro-sized industrial parks to participate in intraday demand response or spinning reserve ancillary services.

[0005] Small industrial parks represent a typical industrial park model, jointly operated by numerous production workshops belonging to different companies. These parks are characterized by small individual loads but a large number of individual plants, with clear separation between different production lines. Therefore, when small industrial parks are equipped with energy storage systems, they possess the fundamental conditions for flexible load adjustment to address power shortages and can proactively participate in grid interaction responses. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, one of the objectives of this invention is to provide a flexible demand management method for small and micro parks, which constructs a clustering layout framework based on the importance and characteristics of the load, and then performs load reduction sequential control operations without affecting the production of the park.

[0007] One of the objectives of this invention is achieved through the following technical solution:

[0008] A flexible demand management method for small and micro industrial parks includes the following steps:

[0009] Receive load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system;

[0010] Based on the importance and characteristics of the loads, the loads are clustered and sorted to construct a clustering layout framework;

[0011] When a response request is received, based on the clustering layout framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the grid response request, loads participating in the response are screened in order of importance and included in the dynamic response pool.

[0012] Based on the dynamic response pool, non-essential loads in the park and production workshops included in the response pool are gradually shut down. The load of the micro-park is adjusted through sequential control operations, and the energy storage power distribution and correction are controlled.

[0013] As a description of the specific required data, the load types include uninterrupted loads, non-essential loads, and production loads; the electrical parameters of the distribution cabinets include the switching status, voltage, current, load power, and active power of the incoming line cabinets and each handcart switch cabinet; the electrical parameters of the energy storage system include voltage, current, active power, state of charge, remaining energy, and rated capacity.

[0014] Furthermore, the clustering layout framework includes: using all non-essential load power P L,un-ne Starting from this point, production loads with workshop shutdown preparation times of 1 hour, 2 hours, and 3 hours or less are ranked from lowest to highest importance, resulting in production loads categorized as 1-N for each shutdown preparation time. All uninterruptible loads P are then considered. L,ne As the endpoint, the construction of the clustering layout framework is completed.

[0015] Furthermore, the construction of the clustering layout framework also includes: ranking the importance of production loads with different shutdown preparation times at the same level; and setting the corresponding loads to zero in the clustering layout framework where they cannot be filled.

[0016] Furthermore, based on the clustering layout framework, and combining the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the grid response requirements, loads participating in the response are screened level by level and included in the dynamic response pool, including the following steps:

[0017] Step 1: The non-essential load power P L,un-ne Included in the response pool;

[0018] Step 2: Based on the aggregation layout framework, from the production loads that have never been included in the response pool and have the lowest importance level, select the load P with the lowest importance during each shutdown preparation time. L,worki.j And include it in the response pool;

[0019] Step 3: Calculate the total power reduction P in the response pool. cut :

[0020] When the total power reduction is less than the power to be reduced ΔP, continue to execute step 2 until the total power reduction is greater than or equal to the power to be reduced ΔP, then execute step 4.

[0021] Step 4: When the total power reduction is greater than or equal to the power reduction ΔP, calculate the amount of electricity E to be released during the response process. disch arg e :

[0022] When the released electricity exceeds the available electricity E stored at the time of response initiation, the lowest-importance load P in each shutdown preparation time is selected from the production loads that have not been included in the response pool and have the lowest importance level. L,worki.j The released electricity is then incorporated into the dynamic response pool until the released electricity is less than or equal to the available electricity E stored at the time of response activation, at which point the screening of the dynamic response pool is completed.

[0023] Furthermore, the available energy E of the energy storage is calculated to satisfy: E = E ES -soc min ×E ES，e , of which E ES To store the remaining energy, the SOC min As the limit of the state of charge of energy storage, E ES，e To respond to the rated energy storage capacity at startup;

[0024] The amount of electricity E to be released during the response process disch arg e and the discharge power P at each time period ES The calculation satisfies:

[0025]

[0026] E disch arge = (P1+P2+P3)×1, where P ES Here, t represents the discharge power of the energy storage system at each time period, P1, P2, and P3 represent the discharge power of the energy storage system in the 1st, 2nd, and 3rd hours, respectively, and P4 represents the energy storage power from the beginning of the 4th hour until the end of the response. θ represents the discharge power of the energy storage system at each time period. i Let θ be a coefficient of the energy storage discharge power, corresponding to the load being included in the response pool. i P is 1 if it is not 0 otherwise L，work1，j P L，work2，j P L，work3，j These represent production loads with shutdown preparation times of 1 hour, 2 hours, and 3 hours, respectively, where m represents the current importance level.

[0027] Furthermore, based on the dynamic response pool, the load on the incoming line to the park is adjusted through sequential control operation, including the following steps:

[0028] When a small industrial park is invited to reduce its power output to a level less than or equal to the incoming load power of the small industrial park, determine whether the energy storage system and the power of the non-essential load can meet the response requirements:

[0029] If satisfied, disconnect the handcart switch from unnecessary loads, remove unnecessary loads, and calculate the energy storage system discharge power to satisfy: P ES =ΔP-P Lun-ne The discharge time is the invited response duration T. After the response is completed, the equipment resumes normal operation.

[0030] If not, disconnect the handcart switch for unnecessary loads, cut off unnecessary loads, and initiate the shutdown process for production loads included in the dynamic response pool. Calculate the energy storage system discharge power to ensure it meets the following requirements:

[0031]

[0032] Determine whether the deviation between the actual power reduction of the small and micro industrial park and the requested power reduction in response to the demand exceeds the preset deviation assessment standard δ:

[0033] If the value is greater than the value, the energy storage power is adjusted by adding the deviation amount to the discharge power of the energy storage system.

[0034] Otherwise, determine whether the production workshop load has reached the shutdown threshold. If it has, disconnect the workshop handcart switch; if not, poll to determine the response time.

[0035] When the response time t is less than the invited response duration T, the discharge power of the energy storage system is recalculated and adjusted according to the response time, and the handcart switch of the corresponding load is disconnected as required; otherwise, the sequential control operation ends and normal operation is restored.

[0036] The second objective of this invention is to provide a flexible demand management device for small and micro parks, which mobilizes the user side to manage load demand by establishing a response pool based on load importance.

[0037] The second objective of this invention is achieved by the following technical solution:

[0038] A flexible demand management device for small industrial parks, comprising:

[0039] The data acquisition module is used to receive load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system;

[0040] The load clustering module is used to cluster and sort loads based on their importance and shutdown preparation time, and to build a clustering layout framework.

[0041] The response pool screening module is used to, when a response request is received, screen the loads participating in the response in order of importance and include them in the dynamic response pool according to the clustering arrangement framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system and the grid response request.

[0042] The sequential control operation module is used to adjust the load of the micro-park through sequential control operation according to the dynamic response pool, and to control the power distribution and correction of energy storage.

[0043] A third objective of this invention is to provide an electronic device for performing one of the objectives of the invention, comprising a processor, a storage medium, and a computer program, wherein the computer program is stored in the storage medium, and when the computer program is executed by the processor, it implements the above-mentioned flexible demand management method for small and micro parks.

[0044] A fourth objective of this invention is to provide a computer-readable storage medium that stores one of the objectives of the invention, having stored thereon a computer program that, when executed by a processor, implements the aforementioned flexible demand management method for small and micro-sized industrial parks.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] This invention clusters and sorts park loads based on importance and characteristics, constructing response pools. According to different invited power reductions and response times, it can achieve immediate and accurate load reduction of small and micro parks with a single click, overcoming the limitations of current response methods relying solely on energy storage or load control. This lays a solid and feasible technical foundation for small and micro parks to participate in intraday demand response and spinning reserve ancillary services, fully exploring the elastic adjustment potential of the power load side. Furthermore, while completing interactive response services, this invention constructs a "flexible shutdown" mechanism for gradual workshop shutdown, avoiding production condition problems caused by "rigid shutdown" of workshops. It can achieve zero-loss shutdown of production workshops, protecting the production interests of enterprises and thus increasing users' enthusiasm for participating in grid interaction. Attached Figure Description

[0047] Figure 1 This is a flowchart of the flexible demand management method for small and micro industrial parks, as described in Implementation Example 1.

[0048] Figure 2 This is a schematic diagram of the load clustering layout framework in Example 1;

[0049] Figure 3 This is a schematic diagram of the response pool establishment process in Implementation Example 1;

[0050] Figure 4 This is a schematic diagram of the sequential control operation process in Example 1;

[0051] Figure 5This is a structural block diagram of the flexible demand management device for small industrial parks in Embodiment 2;

[0052] Figure 6 This is a structural block diagram of the electronic device in Embodiment 3. Detailed Implementation

[0053] The present invention will now be described in more detail with reference to the accompanying drawings. It should be noted that the following description of the present invention with reference to the accompanying drawings is merely illustrative and not restrictive. Various embodiments can be combined with each other to form other embodiments not shown in the following description.

[0054] Example 1

[0055] Example 1 provides a flexible demand management method for small and micro industrial parks, which aims to sort and cluster the loads in the small and micro industrial parks and dynamically adjust them in conjunction with energy storage systems to cope with complex and ever-changing grid demands and tap the full adjustment potential of the small and micro industrial parks.

[0056] Please refer to Figure 1 As shown, a flexible demand management method for small and micro industrial parks includes the following steps:

[0057] S1. Received load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system;

[0058] In S1, various parameters are collected and received to support subsequent control steps. Specifically, load types include uninterruptible loads, non-essential loads, and production loads; the electrical parameters of the distribution cabinet include the switching status, voltage, current, load power, and active power of the incoming line cabinet and each handcart switch cabinet; the electrical parameters of the energy storage system include voltage, current, active power, state of charge, remaining power, and rated capacity. Uninterruptible loads refer to critical loads such as elevators and fire protection systems that cannot be disconnected from the power supply; production loads refer to workshop loads that, following the production process, can be disconnected from the power supply for 1 hour, 2 hours, or 3 hours without affecting production, with loads falling between two time periods rounded up; non-essential loads refer to loads that can be disconnected from the power supply immediately. Since production requires a certain amount of time when raw materials are input into the workshop, if the power is cut off at this time, the raw materials already input into the workshop will be wasted and cannot be used to produce products. Therefore, this embodiment divides the shutdown time for different processes in the production workshop. It should be noted that the shutdown time for the workshop can be set according to the actual situation and is not limited to the above-mentioned 1-3 hour shutdown time limit. The data received above can be acquired using some conventional acquisition devices or equipment, which will not be elaborated on in this embodiment.

[0059] S2. Based on the load characteristics and importance, cluster and sort the loads to construct a clustering layout framework;

[0060] The load characteristics in S2 include production line type and shutdown preparation time. Production line type includes specific production processes such as electroplating and lathe operation. Shutdown preparation time is the preparation time for workshop shutdown when it does not affect production conditions. Please refer to [reference needed]. Figure 2 The diagram shows a load clustering layout framework, which includes: all non-essential load power P L,un-ne Starting from this point, production loads with workshop shutdown preparation times of 1 hour, 2 hours, and 3 hours or less are ranked from lowest to highest importance, resulting in production loads of level 1-N for each shutdown preparation time, i.e., P in the figure. L,worki.j and with all uninterruptible loads P L,ne As the endpoint, the construction of the clustering layout framework is completed. The aforementioned importance refers to clustering and ranking the loads of the small industrial park according to their importance level. In this embodiment, the heavier the production task and the higher the production value of the load, the higher its importance, and the less likely it is to be shut down. It is worth noting that the construction of the clustering layout framework also includes: ranking the importance of production loads with different shutdown preparation times within the same level; and setting zeros where corresponding loads cannot be filled in the clustering layout framework. Specifically, in the clustering layout framework, if a specified position cannot correspond to a production load, it can be left empty and set to zero, but this must be completed before the current day. Different production loads belonging to the same level must also be distinguished by importance. For example, the importance of level 1 loads can be further divided into P... L,work2.1 >P L,work1.1 >P L,work3.1 The load levels from level 2 to level N are established sequentially. Additionally, due to increased orders or other reasons, the original production load P... L,work1.2 Importance increased to P L,work1.3 Then P L,work1.2 =0 or replaced by other similar loads.

[0061] S3. When a response request for load reduction from the power grid is received, based on the clustering layout framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the power grid response request, loads participating in the response are screened in order of importance and included in the dynamic response pool.

[0062] The purpose of establishing the response pool in S3 is to determine the number and parameters of loads participating in this response. Based on the load clustering framework in S2, production loads are progressively screened upwards and sequentially included in the response pool until the sum of the power reductions from unnecessary loads and production loads in the pool exceeds the invited power for the micro-industry's participation in grid interaction, and the energy storage system's required discharge capacity is less than the current available capacity. Please refer to... Figure 3The schematic diagram shown illustrates the response pool establishment process. Based on the clustering layout framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the grid response requirements, loads participating in the response are screened level by level and included in the dynamic response pool. This includes the following steps:

[0063] Step 1: The non-essential load power P L,un-ne Included in the response pool;

[0064] Step 2: Based on the aggregation layout framework, from the production loads that have never been included in the response pool and have the lowest importance level, select the load P with the lowest importance during each shutdown preparation time. L,worki.j And include it in the response pool;

[0065] Step 3: Calculate the total power reduction P in the response pool. cut :

[0066] When the total power reduction is less than the power to be reduced ΔP, continue to execute step 2 until the total power reduction is greater than or equal to the power to be reduced ΔP, then execute step 4.

[0067] Step 4: When the total power reduction is greater than or equal to the power reduction ΔP, calculate the amount of electricity E that the energy storage system needs to release during the response process. disch arg e :

[0068] When the released electricity exceeds the available electricity E stored at the time of response initiation, the lowest-importance load P in each shutdown preparation time is selected from the production loads that have not been included in the response pool and have the lowest importance level. L,worki.j It is incorporated into the dynamic response pool until the released electrical energy E is reached. disch arg When e is less than or equal to the available energy E stored at the time of response start-up, it can be guaranteed that the energy storage has sufficient energy within the response time, and the screening process of the state response pool ends.

[0069] It should be noted that in the diagram, m represents the current load importance level, j is mainly used for counting during construction, and like m, it also represents the load level, θ i This is a coefficient for the energy storage discharge power. In the same importance level, it is set to 1 if a load is included in the response pool, and 0 otherwise.

[0070] The available energy E of the energy storage is calculated to satisfy: E = E ES -soc min ×E Es，e , of which E ES In response to the remaining energy stored at startup, the SOC min As the limit of the state of charge of energy storage, E Es，e This refers to the rated capacity of the energy storage.

[0071] The amount of electricity E to be released during the response process disch arg e and the discharge power P at each time period ES The calculation satisfies:

[0072]

[0073] E discharge = (P1+P2+P3)×1, where P ES Here, t represents the discharge power of the energy storage system at each time period, P1, P2, and P3 represent the discharge power of the energy storage system in the 1st, 2nd, and 3rd hours, respectively, and P4 represents the energy storage power from the beginning of the 4th hour until the end of the response. θ represents the discharge power of the energy storage system at each time period. i Let θ be a coefficient of the energy storage discharge power, corresponding to the load being included in the response pool. i P is 1 if it is not 0 otherwise L，work1，j P L，work2，j P L，work3，j These represent production loads with shutdown preparation times of 1 hour, 2 hours, and 3 hours, respectively, where m represents the current importance level.

[0074] S4. Based on the dynamic response pool, gradually shut down unnecessary loads in the park and production workshops included in the response pool, adjust the load of the micro-park through sequential control operation, and control the energy storage power distribution and correction.

[0075] Please refer to Figure 4 The schematic diagram of the sequential control operation process shows that if production load needs to participate in the interaction, sequential control operation B is initiated. After the different production workshops are shut down one after another, the corresponding handcart switches are opened, and the energy storage discharge power is continuously adjusted to accurately maintain the response accuracy and ensure the quality of the interaction. If the requested reduction is small, sequential control operation A is initiated. The response task can be completed by simply using "energy storage discharge + unnecessary load shedding". The total load of the park's dedicated transformer is reduced by using "energy storage discharge + unnecessary load shedding".

[0076] Since the instruction is invalid when the power reduction requested by the small industrial park exceeds the incoming load power of the small industrial park, this embodiment only performs sequential control operation for cases where the power reduction is less than or equal to the incoming load power. Specifically, the sequential control operation adjusts the incoming load of the park and controls the power distribution and correction of the energy storage system, including the following steps:

[0077] When a small industrial park is invited to reduce its power output to a level less than or equal to the incoming load power of the small industrial park, determine whether the energy storage system and the non-essential load power can meet the response requirements:

[0078] If satisfied, disconnect the handcart switch from unnecessary loads, remove unnecessary loads, and calculate the energy storage system discharge power to satisfy: P ES =△PP L,un-neThe discharge time is the invited response duration T. After the response is completed, the equipment resumes normal operation.

[0079] If not, disconnect the handcart switch for unnecessary loads, cut off unnecessary loads, and initiate the shutdown process for production loads included in the dynamic response pool. Calculate the energy storage system discharge power to ensure it meets the following requirements:

[0080]

[0081] Determine whether the deviation between the actual power reduction of the small and micro industrial park and the requested power reduction in response to the demand exceeds the preset deviation assessment standard δ:

[0082] If the value is greater than the value, the energy storage power is adjusted by adding the deviation amount to the discharge power of the energy storage system.

[0083] Otherwise, determine whether the production workshop load has reached the shutdown threshold. If it has, disconnect the workshop handcart switch; if not, poll to determine the response time.

[0084] When the response time t is less than the invited response duration T, the discharge power of the energy storage system is recalculated and adjusted according to the response time, and the handcart switch of the corresponding load is disconnected as required; otherwise, the sequential control operation ends and normal operation is restored.

[0085] Because the power company's demand response scheme requires high precision in response adjustment, this embodiment sets a preset deviation assessment standard δ to avoid subsidy reductions due to substandard precision. The preset deviation assessment standard can be set according to actual needs, for example, 15%-20%. The polling time can be set according to needs; in this embodiment, it is polled every 15 minutes to detect whether the load in the production workshop has reached the threshold for shutdown.

[0086] In summary, this method enables real-time and rapid response and adjustment in small and micro industrial parks while ensuring zero-loss output of workshop production lines. It can greatly stimulate the enthusiasm of industrial enterprises to interact with the power grid, has universality and scalability, and is conducive to awakening the massive dormant resources on the power load side and fully tapping the elasticity and adjustability of the power grid.

[0087] Example 2

[0088] Example 2 discloses a device corresponding to the flexible demand management method for small and micro-sized industrial parks described in the above examples. This is a virtual device structure as described in the above examples; please refer to [link / reference]. Figure 5 As shown, it includes:

[0089] Data acquisition module 210 is used to receive load type, electrical parameters of the distribution cabinet and electrical parameters of the energy storage system;

[0090] The load clustering module 220 is used to cluster and sort loads according to their importance and shutdown preparation time, and to build a clustering layout framework.

[0091] The response pool screening module 230 is used to, when receiving a response request for load reduction from the power grid, screen the loads participating in the response in order of importance according to the clustering arrangement framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system and the load reduction request from the power grid, and include them in the dynamic response pool.

[0092] The sequential control operation module 240 is used to adjust the load of the micro-park through sequential control operation according to the dynamic response pool, and to control the power distribution and correction of energy storage.

[0093] Preferably, the clustering layout framework includes: using all non-essential load power P L,un-ne Starting from this point, production loads with workshop shutdown preparation times of 1 hour, 2 hours, and 3 hours or less are ranked from lowest to highest importance, resulting in production loads categorized as 1-N for each shutdown preparation time. All uninterruptible loads P are then considered. L,ne As the endpoint, the construction of the clustering layout framework is completed.

[0094] Preferably, based on the clustering layout framework, and in conjunction with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the grid response requirements, loads participating in the response are screened level by level and included in the dynamic response pool, including the following steps:

[0095] Step 1: The non-essential load power P L,un-ne Included in the response pool;

[0096] Step 2: Based on the aggregation layout framework, select the lowest importance load P from the lowest importance production loads that have never been included in the response pool, for each shutdown preparation time. L,worki.j And include it in the response pool;

[0097] Step 3: Calculate the total power reduction P in the response pool. cut :

[0098] When the total power reduction is less than the power to be reduced ΔP, continue to execute step 2 until the total power reduction is greater than or equal to the power to be reduced ΔP, then execute step 4.

[0099] Step 4: When the total power reduction is greater than or equal to the power reduction ΔP, calculate the amount of electricity E that the energy storage system needs to release during the response process. discharg e :

[0100] When the released electricity exceeds the available electricity E stored at the time of response initiation, the lowest-importance load P in each shutdown preparation time is selected from the production loads that have not been included in the response pool and have the lowest importance level. L,worki.j The released electricity is included in the dynamic response pool until the released electricity is less than or equal to the available electricity E stored at the time of response activation, at which point the screening of the dynamic response pool is completed.

[0101] Preferably, adjusting the incoming load of the park through sequential control operation based on the dynamic response pool includes the following steps:

[0102] When a small industrial park is invited to reduce its power output to a level less than or equal to the incoming load power of the small industrial park, determine whether the energy storage system and the non-essential load power can meet the response requirements:

[0103] If satisfied, disconnect the handcart switch from unnecessary loads, remove unnecessary loads, and calculate the energy storage system discharge power to satisfy: P ES =△PP L,un-ne The discharge time is the invited response duration T. After the response is completed, the equipment resumes normal operation.

[0104] If not, disconnect the handcart switch for unnecessary loads, cut off unnecessary loads, and initiate the shutdown process for production loads included in the dynamic response pool. Calculate the energy storage system discharge power to ensure it meets the following requirements:

[0105]

[0106] Determine whether the deviation between the actual power reduction of the small and micro industrial park and the requested power reduction in response to the demand exceeds the preset deviation assessment standard δ:

[0107] If it is greater than the value, the discharge power of the energy storage system will be added to the deviation amount.

[0108] Otherwise, determine whether the production workshop load has reached the shutdown threshold. If it has, disconnect the workshop handcart switch; if not, poll to determine the response time.

[0109] When the response time t is less than the invited response duration T, the discharge power of the energy storage system is recalculated and adjusted according to the response time, and the handcart switch of the corresponding load is disconnected as required; otherwise, the sequential control operation ends and normal operation is restored.

[0110] Example 3

[0111] Figure 6 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention, as shown below. Figure 6 As shown, the electronic device includes a processor 310, a memory 320, an input device 330, and an output device 340; the number of processors 310 in the computer device can be one or more. Figure 6 Taking a processor 310 as an example; the processor 310, memory 320, input device 330, and output device 340 in the electronic device can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0112] The memory 320, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the flexible demand management method for small and micro-sized industrial parks in this embodiment of the invention. The processor 310 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 320, thereby implementing the flexible demand management method for small and micro-sized industrial parks described in Embodiment 1 above.

[0113] The memory 320 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created based on terminal usage. Furthermore, the memory 320 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 320 may further include memory remotely located relative to the processor 310, which can be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0114] The input device 330 can be used to receive input user identity information, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system. The output device 340 may include display devices such as a display screen.

[0115] Example 4

[0116] Embodiment 4 of the present invention also provides a storage medium containing computer-executable instructions, which can be used by a computer to execute a flexible demand management method for small and micro-sized industrial parks, the method comprising:

[0117] Receive load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system;

[0118] Based on the importance and characteristics of the loads, the loads are clustered and sorted to construct a clustering layout framework;

[0119] When a response request is received, based on the clustering layout framework and combined with the electrical parameters of the power distribution cabinet and the electrical parameters of the energy storage system, loads participating in the response are screened in order of importance and included in the dynamic response pool.

[0120] Based on the dynamic response pool, non-essential loads in the park and production workshops included in the response pool are gradually shut down. The load on the small and micro park is adjusted through sequential control operations, and the energy storage is controlled for power distribution and correction.

[0121] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method operations described above, but can also perform related operations in the flexible demand management method for small and micro parks provided in any embodiment of the present invention.

[0122] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause an electronic device (which may be a mobile phone, personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0123] It is worth noting that in the above embodiments of the flexible demand management method device for small and micro parks, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0124] For those skilled in the art, various other corresponding changes and modifications can be made based on the technical solutions and concepts described above, and all such changes and modifications should fall within the protection scope of the claims of this invention.

Claims

1. A flexible demand management method for small and micro industrial parks, characterized in that, Includes the following steps: Receive load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system; Based on load characteristics and importance, loads are clustered and ranked to construct a clustering layout framework; The clustering layout framework includes: all non-essential load power Starting from this point, production loads with workshop shutdown preparation times of 1 hour, 2 hours, and 3 hours or less are ranked from lowest to highest importance, resulting in production loads categorized as 1-N for each shutdown preparation time. This is then used to determine all uninterruptible loads. As the endpoint, the construction of the clustering layout framework is completed; The construction of the clustering layout framework also includes: ranking the importance of production loads with different shutdown preparation times at the same level; and setting the values ​​of loads that cannot be filled in the clustering layout framework to zero. When a response request is received, based on the clustering layout framework and combined with the electrical parameters of the power distribution cabinet and the electrical parameters of the energy storage system, loads participating in the response are screened in order of importance and included in the dynamic response pool. Based on the dynamic response pool, non-essential loads in the park and production workshops included in the response pool are gradually shut down. The load of the micro-park is adjusted through sequential control operations, and the energy storage power distribution and correction are controlled.

2. The flexible demand management method for small and micro industrial parks as described in claim 1, characterized in that, The load types include uninterrupted loads, non-essential loads, and production loads; the electrical parameters of the distribution cabinets include the switching status, voltage, current, load power, and active power of the incoming line cabinets and each handcart switch cabinet; the electrical parameters of the energy storage system include voltage, current, active power, state of charge, remaining power, and rated capacity.

3. The flexible demand management method for small and micro industrial parks as described in claim 1, characterized in that, Based on the clustering framework, and combining the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system, and the grid load reduction demand, loads participating in the response are screened level by level and included in the dynamic response pool, including the following steps: Step 1: The power of the non-essential load... Included in the response pool; Step 2: Based on the aggregation layout framework, from the production loads that have never been included in the response pool and have the lowest importance level, select the load with the lowest importance during each shutdown preparation time. And include it in the response pool; Step 3: Calculate the total power reduction in the response pool. : When the total power reduction is less than the power to be reduced If necessary, continue with step 2 until the total power reduction is greater than or equal to the power to be reduced. Then, proceed to step 4; Step 4: When the total power reduction is greater than or equal to the power to be reduced At that time, calculate the amount of electricity that the energy storage system needs to release during the response process. : When the released electricity is greater than the available electricity stored at the time of response activation. Then, continue to filter out the least important loads during each shutdown preparation time from the production loads that have never been included in the response pool and have the lowest importance level. The released energy is incorporated into the dynamic response pool until it is less than or equal to the available energy stored at the time of response initiation. At that time, the screening of the dynamic response pool is completed.

4. The flexible demand management method for small and micro industrial parks as described in claim 3, characterized in that, The available power of the energy storage The calculation satisfies: ,in, In response to the remaining energy stored at startup, This is the limit of the state of charge of energy storage. This refers to the rated capacity of the energy storage. The amount of electricity to be released during the response process and the discharge power at each time period. The calculation satisfies: ， ,in, The discharge power set for the energy storage system at different times. Discharge time, , , These represent the discharge power of the energy storage system in the 1st, 2nd, and 3rd hours, respectively. This refers to the energy storage power from the start of the 4th hour until the end of the response. The coefficient for the energy storage discharge power corresponds to the load being included in the response pool. It is 1 if it is 1, otherwise it is 0. , , These figures represent production loads with shutdown preparation times of 1 hour, 2 hours, and 3 hours, respectively. The current importance level.

5. The flexible demand management method for small and micro industrial parks as described in claim 4, characterized in that, Based on the dynamic response pool, the load on the incoming lines to the park is adjusted through sequential control operations, including the following steps: When a small industrial park is invited to reduce its power output to a level less than or equal to the incoming load power of the small industrial park, it is determined whether the energy storage system and the non-essential load power can meet the response requirements: If satisfied, disconnect the handcart switch from unnecessary loads, remove unnecessary loads, and calculate that the energy storage system discharge power meets the requirements. The discharge time is the duration of the invited response. After the response is completed, the equipment will resume normal operation. If not satisfied, disconnect the handcart switch for unnecessary loads, cut off unnecessary loads, and initiate the shutdown process for production loads included in the dynamic response pool. Calculate the energy storage system discharge power to ensure it meets the following requirements: ， Determine whether the deviation between the actual power reduction of the small and micro industrial park and the requested power reduction in response to the demand exceeds the preset deviation assessment standard. : If the value is greater than the value, the energy storage power is adjusted by adding the deviation amount to the discharge power of the energy storage system. Otherwise, determine whether the production workshop load has reached the shutdown threshold. If it has, disconnect the workshop handcart switch; if not, poll to determine the response time. When response time Less than the invitation response time If the response time is not met, the discharge power of the energy storage system is recalculated and set according to the response time, and the handcart switch of the corresponding load is disconnected as required; otherwise, the sequential control operation ends and normal operation is restored.

6. A flexible demand management device for small and micro-sized industrial parks, characterized in that, It includes: The data acquisition module is used to receive load type, electrical parameters of the distribution cabinet, and electrical parameters of the energy storage system; The load clustering module is used to cluster and sort loads based on their importance and characteristics, and to build a clustering layout framework. The clustering layout framework includes: all non-essential load power Starting from this point, production loads with workshop shutdown preparation times of 1 hour, 2 hours, and 3 hours or less are ranked from lowest to highest importance, resulting in production loads categorized as 1-N for each shutdown preparation time. This is then used to determine all uninterruptible loads. As the endpoint, the construction of the clustering layout framework is completed; The construction of the clustering layout framework also includes: ranking the importance of production loads with different shutdown preparation times at the same level; and setting the values ​​of loads that cannot be filled in the clustering layout framework to zero. The response pool screening module is used to, when a response request is received, screen the loads participating in the response in order of importance and include them in the dynamic response pool according to the clustering arrangement framework, combined with the electrical parameters of the distribution cabinet, the electrical parameters of the energy storage system and the grid load reduction demand. The sequential control operation module is used to adjust the load of the micro-park through sequential control operation according to the dynamic response pool, and to control the power distribution and correction of energy storage.

7. An electronic device comprising a processor, a storage medium, and a computer program, wherein the computer program is stored in the storage medium, characterized in that, When the computer program is executed by the processor, it implements the flexible demand management method for small and micro parks as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the flexible demand management method for small and micro parks as described in any one of claims 1 to 5.

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