Multi-node power coordination method of industrial and commercial energy storage system

Abstract

The invention discloses a multi-node power coordination method for an industrial and commercial energy storage system, relates to the field of smart power grids, and solves the problem of insufficient stability of the existing industrial and commercial energy storage system, and the method comprises the steps: S1, carrying out the node collection of the energy storage system; monitoring the power of the node; s2, acquiring a charging and discharging plan of the energy storage system, and controlling a battery cluster node and an energy storage converter node; performing combined calculation on the control information and the monitoring data to obtain control deviation of the nodes, and optimizing the control information; s3, power information of the battery cluster node and the energy storage converter node is acquired through the optimization information, and power coordination is carried out on the battery cluster node and the energy storage converter node according to the power information; s4, acquiring battery modules of the battery cluster nodes, and performing intra-node power coordination on the battery cluster nodes; the stability of the industrial and commercial energy storage system can be effectively improved, and the accuracy of node power control is enhanced.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of smart grid, more particularly relates to a node power coordination technology of energy storage system, and particularly relates to a multi-node power coordination method of industrial and commercial energy storage system. BACKGROUND

[0002] The existing industrial and commercial energy storage system has the following defects when storing and transmitting energy: 1. The energy is consumed through a single line, and the transmission node on the line has uniqueness. When the node is abnormal (such as equipment damage, line break) or is maintained, the energy consumption cannot continue, resulting in system paralysis, increasing the maintenance cost of the system, and reducing the economy and practicability of the energy storage system.

[0003] 2. The node utilization rate of the energy storage system is low. The energy is consumed by equally dividing the energy to multiple nodes, which can improve the overall load balancing capability of the system, but ignores the differences between different nodes, and the consumption method is simple, and there is a situation that part of the nodes have too high load and part of the nodes have insufficient utilization rate.

[0004] 3. The existing energy storage system usually analyzes the node charge amount for multi-node coordination, which ignores the influence of voltage in current flow, resulting in one-sided analysis results and unable to effectively control the industrial and commercial energy storage system.

[0005] Therefore, the present application provides a multi-node power coordination method of industrial and commercial energy storage system. SUMMARY

[0006] In view of the deficiencies in the prior art, the present application aims to provide a multi-node power coordination method of industrial and commercial energy storage system, and aims to improve the stability of the industrial and commercial energy storage system.

[0007] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme: a multi-node power coordination method of industrial and commercial energy storage system, and the specific working process of each step is as follows: Step S1: collecting nodes of the energy storage system to obtain battery cluster nodes and energy storage converter nodes; monitoring the power of the battery cluster nodes and the energy storage converter nodes to obtain monitoring data; Step S2: obtaining the energy storage system charging and discharging plan, controlling the battery cluster nodes and the energy storage converter nodes to obtain control information; combining and calculating the control information and the monitoring data to obtain the control deviation of the nodes, optimizing the control information through the control deviation to obtain optimization information; Step S3: obtaining the power information of the battery cluster nodes and the energy storage converter nodes through the optimization information, and coordinating the power of the battery cluster nodes and the energy storage converter nodes according to the power information. Step S4: obtaining the battery module of the battery cluster node, optimizing the power of the battery module through the power information of the battery cluster node, and coordinating the power of the battery cluster node.

[0008] Further, the specific steps of step S1 are as follows: Step S11: extracting the battery cluster in the energy storage system as a battery cluster node, counting the number of battery cluster nodes as as, monitoring the power of each battery cluster node to obtain the battery cluster power cgl(a); Step S12: extracting the energy storage converter node, counting the number of energy storage converter nodes as bs, and monitoring the power of each energy storage converter node to obtain the converter power bgl(b); Step S13: counting the battery cluster power and the converter power to obtain the monitoring data.

[0009] Further, the specific steps of step S2 are as follows: Step S21: obtaining the energy storage system charge and discharge plan, controlling the battery cluster node and the energy storage converter node according to the energy storage system charge and discharge plan to obtain control information, obtaining the control power of the battery cluster node through the control information to obtain the battery cluster control power, and obtaining the control power of the energy storage converter node through the control information to obtain the converter control power; Step S22: obtaining the battery cluster power and the converter power through the monitoring data, calculating the control deviation of the node in combination with the battery cluster control power and the converter control power, and controlling and optimizing the battery cluster node and the energy storage converter node according to the control deviation of the node; Step S23: controlling and optimizing the battery cluster node and the energy storage converter node, calculating the optimized power of the battery cluster node and the energy storage converter node to obtain the battery cluster optimized power and the converter optimized power, and counting the optimized power to obtain the optimization information.

[0010] Further, the specific steps of step S21 are as follows: Step S211: obtaining the power scheduling strategy of the energy storage system according to the energy storage system charge and discharge plan, and extracting the preset scheduling data of the battery cluster node and the energy storage converter node from the power scheduling strategy of the energy storage system; Step S212: obtaining the power change value of the battery cluster node through the preset scheduling data of the battery cluster node to obtain the battery cluster control power dkz(a), and obtaining the power change value of the energy storage converter node from the preset scheduling data of the energy storage converter node to obtain the converter control power bkz(b).

[0011] Further, the specific steps of the step S22 are as follows: Step S221: According to the monitoring data, the battery cluster power is obtained, and the control deviation dpc(a) of the battery cluster node is calculated by combining the battery cluster control power dkz(a) with the battery cluster power cgl(a); The control deviation dpc(a) of the battery cluster node is statistically calculated to obtain the control weight dqz(a) of the battery cluster node; The control weight of the battery cluster node is recorded, and the battery cluster node is optimized according to the control weight of the battery cluster node; Step S222: According to the monitoring data, the converter power is obtained, and the control deviation bpc(b) of the energy storage converter node is calculated by combining the converter control power bkz(b) with the converter power bgl(b); The control deviation bpc(b) of the energy storage converter node is statistically calculated to obtain the control weight bqz(b) of the energy storage converter node; The control weight of the energy storage converter node is recorded, and the energy storage converter node is optimized according to the control weight of the energy storage converter node.

[0012] Further, the specific steps of the step S23 are as follows: Step S231: The battery cluster adjustment power dtz(a) is counted, the missing value of the adjustment power is calculated according to the battery cluster adjustment power and the battery cluster control power dkz(a), the missing value is distributed to the battery cluster node through the control weight dqz(a) of the battery cluster node, the battery cluster adjustment power is optimized according to the power distribution result, and the battery cluster optimized power dyh(a) is obtained; ; Step S232: The control weight of the energy storage converter node is obtained, and the converter control power is adjusted according to the control weight of the energy storage converter node to obtain the converter adjustment power btz(b); The converter adjustment power btz(b) is counted, the missing value of the adjustment power is calculated according to the converter adjustment power and the converter control power bkz(b), the missing value is distributed to the converter node through the control weight bqz(b) of the energy storage converter node, the converter adjustment power is optimized according to the power distribution result, and the converter optimized power byh(b) is obtained; The battery cluster optimized power dyh(a) and the converter optimized power byh(b) are counted to obtain the optimization information.

[0013] Further, the specific steps of the step S3 are as follows: Step S31: According to the optimization information, the battery cluster optimization power and the converter optimization power are obtained, the connection relationship between the battery cluster node and the energy storage converter node is obtained, and the battery cluster optimization power and the converter optimization power are associated through the connection relationship; Step S32: According to the association of the battery cluster optimization power and the converter optimization power, the battery cluster node and the energy storage converter node are coordinated, so that the power load of the battery cluster node and the energy storage converter node is balanced.

[0014] Further, the specific steps of the step S32 are as follows: Step S321: According to the connection relationship between the battery cluster node and the energy storage converter node, the connected energy storage converter node and the battery cluster node are obtained, and the connection line ljx(b, a) is obtained, if the bth energy storage converter node is connected with the ath battery cluster node, the connection line ljx(b, a) is assigned to 1, if the bth energy storage converter node is not connected with the ath battery cluster node, the connection line ljx(b, a) is assigned to 0; Step S322: According to the connection line, the battery cluster node connected with the energy storage converter node is counted, and ljx(b, 1) to ljx(b, a) are accumulated to obtain the connection number of the bth energy storage converter node, and the energy storage converter node is sorted in ascending order according to the connection number; Step S323: According to the ascending order, the converter optimization power of the energy storage converter node is regulated, when the power output of the energy storage converter node is abnormal, the converter optimization power is recorded and transmitted to the next energy storage converter node, and the converter optimization power is divided among the connection lines of the energy storage converter node; Step S324: The battery cluster optimization power is counted, the battery cluster node is connected with the converter optimization power, and the power transmission of the energy storage converter node is supplied.

[0015] Further, the specific steps of the step S4 are as follows: Step S41: According to the battery cluster node, the battery module is obtained, the number of battery modules is counted, the storage power of each battery module is obtained according to the number of battery modules, the rated power of the battery module is obtained, and the stability value of the battery module is judged by the ratio of the storage power to the rated power; Step S42: According to the stability value of the battery module, the battery cluster node is planned as a whole, the regulation power of the battery module is obtained, and the battery module of the battery cluster node is controlled.

[0016] Further, the specific steps of the step S41 are as follows: Step S411: the battery cluster node in the battery module composition is acquired, the number of battery modules is counted, and is recorded as cs; the rated power of each battery module is acquired, and is recorded as edg(c); the storage power of the battery module is acquired, and is recorded as dcg(c); based on the storage power of the battery module, the battery cluster optimization power dyh(a) of the battery cluster node is considered, and the considered stable value xwd(c) of the battery module is calculated; When xwd(c) is greater than or equal to 1 or xwd(c) is less than or equal to 0, it indicates that the battery module cannot consider the power, and the considered power is transferred; When xwd(c) is greater than or equal to 0.85 or xwd(c) is less than or equal to 0.15, it indicates that the battery module can consider the power, but the stability is low; When 0.15 < xwd(c) < 0.85, it indicates that the battery module is considered stable; Step S412: when the battery module cannot consider the power, the considered power of the battery module is transferred to the battery module that is considered stable, the overall battery module of the battery cluster node is considered stable through cyclic regulation, the actual considered power of each battery module is counted, and the regulation power of the battery module is obtained.

[0017] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present application are: 1. The battery cluster and the energy storage converter are analyzed respectively, the energy flow of the energy storage system is comprehensively analyzed by taking the battery cluster and the energy storage converter as nodes, the energy of the node is optimized according to the connection condition, the anti-interference of the energy storage system is improved through the multi-node connection, and the stable operation of the energy storage system is ensured.

[0018] 2. The stability of the multi-node is analyzed, the node stability is judged according to the deviation between the preset data and the actual data, the node power is optimized according to the node stability, the credibility of the transmission data of the node and the node utilization rate are enhanced, and the stability of the energy transmission is enhanced.

[0019] 3. The power of the node is analyzed, the node flow energy is intuitively displayed through the node power, various electrical quantities (voltage, current) are effectively covered according to the node power, the accuracy of the system node coordination is improved, and the effective operation of the system is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to facilitate the understanding of those skilled in the art, the present application will be further described below with reference to the accompanying drawings.

[0021] Figure 1 The method of the present application is shown in the figure; Figure 2 The node coordination of the present application is shown in the figure; Figure 3 Power coordination diagram of power supply cluster of the present application; DETAILED DESCRIPTION

[0022] The technical solutions of the present application will be described below in conjunction with embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0023] Embodiment one Please refer to Figure 1 The present application belongs to the field of smart grid, and provides a multi-node power coordination method for industrial and commercial energy storage system, which comprises the following steps: Step S1: collecting nodes of the energy storage system to obtain battery cluster nodes and energy storage converter nodes; monitoring the power of the battery cluster nodes and the energy storage converter nodes to obtain monitoring data; It should be noted that the battery cluster node is composed of multiple battery modules in series / parallel, and plays multiple roles of energy core, control hub and safety barrier in the energy storage system, and its role runs through the whole life cycle of energy storage, conversion, management, protection and system optimization.

[0024] The energy storage converter (PCS) node is the core hub of bidirectional conversion of electric energy in the energy storage system, responsible for efficient conversion of direct current and alternating current, intelligent scheduling of energy flow between the power grid and the battery, and ensuring safe and stable operation of the system.

[0025] Step S11: extracting the battery cluster in the energy storage system as a battery cluster node, counting the number of battery cluster nodes, denoted as as, monitoring the power of each battery cluster node to obtain the battery cluster power cgl(a); cgl(a) represents the power of the a-th battery cluster node; obtaining the current flow direction, setting the positive and negative of the battery cluster power according to the current flow direction, when the current flows from the battery cluster to the power grid (discharge mode), the battery cluster power is positive, and when the current flows from the power grid to the battery cluster, the battery cluster power is negative; Step S12: extracting the energy storage converter node, counting the number of energy storage converter nodes, denoted as bs, monitoring the power of each energy storage converter node to obtain the converter power bgl(b); bgl(b) represents the power of the b-th energy storage converter node; obtaining the current flow direction, setting the positive and negative of the converter power according to the current flow direction, when the current flows from the energy storage converter to the power grid (discharge mode), the converter power is positive, and when the current flows from the power grid to the energy storage converter (charging mode), the converter power is negative; Step S13: counting the battery cluster power and the converter power to obtain the monitoring data; Step S2: Obtain the charging and discharging plan of the energy storage system, control the battery cluster nodes and energy storage converter nodes to obtain control information; combine the control information with the monitoring data to calculate the control deviation of the nodes, and optimize the control information based on the control deviation to obtain optimized information; It should be noted that the energy storage system charge and discharge plan refers to a pre-set power dispatch strategy, which includes power data of each node to ensure the efficient operation of the system.

[0026] It should be noted that: control information refers to the stable and accurate charging or discharging of the energy storage system by controlling the transmission power between the battery cluster node and the energy storage converter node; Step S21: Obtain the charging and discharging plan of the energy storage system. Based on the charging and discharging plan, control the battery cluster node and the energy storage converter node to obtain control information. Obtain the control power of the battery cluster node through the control information to obtain the battery cluster control power. Obtain the control power of the energy storage converter node through the control information to obtain the converter control power. Step S211: Based on the energy storage system's charging and discharging plan, obtain the energy dispatch strategy of the energy storage system, and extract the preset dispatch data of the battery cluster node and the energy storage converter node from the energy dispatch strategy of the energy storage system. Step S212: Obtain the power change value of the battery cluster node through the preset scheduling data of the battery cluster node, and obtain the battery cluster control power, which is denoted as dkz(a); Obtain the power change value of the energy storage converter node through the preset scheduling data of the energy storage converter node, and obtain the converter control power bkz(b). Step S22: By monitoring data, the power of the battery cluster and the power of the converter are acquired, and the control deviation of the node is calculated by combining the control power of the battery cluster and the control power of the converter; the control of the battery cluster node and the energy storage converter node is optimized based on the control deviation of the node. Step S221: Based on the monitoring data, the power of the battery cluster is acquired, and the control deviation dpc(a) of the battery cluster node is calculated by combining the battery cluster power cgl(a) with the battery cluster control power dkz(a). ; It should be noted that: the battery cluster power represents the actual transmission power of the battery cluster, and the battery cluster control power represents the system's preset transmission power. The deviation of the transmission power is calculated by the difference between the battery cluster power and the battery cluster control power, and the deviation ratio is obtained by proportionally calculating the difference between the battery cluster power and the battery cluster control power. For example, the battery cluster power is 90, the battery cluster control power is 100, and the control deviation dpc(a) of the battery cluster node is calculated by substituting the formula, which is |90-100| / 100x100%=10%; The instability of the node is reflected by the control deviation, and the node power is coordinated according to the instability of the node, thereby enhancing the global control stability of the system.

[0027] The control deviation dpc(a) of the battery cluster node is calculated, and the control weight dqz(a) of the battery cluster node is obtained. ; For example, the control deviations of multiple battery cluster nodes are 10%, 20%, and 30% respectively. For the battery cluster node with a control deviation of 10%, the control weight dqz(a) is calculated as 1-(10%-(10%+20%+30%) / 3)=110%. The control weight dqz(a)=110% indicates that the power of the node needs to be improved to improve the overall power output stability of the system.

[0028] The control weight of the battery cluster node is recorded, and the battery cluster node is optimized according to the control weight of the battery cluster node. Step S222: According to the monitoring data, the converter power is obtained, and the control deviation bpc(b) of the energy storage converter node is calculated by combining the converter control power bkz(b) with the converter power bgl(b). ; The control deviation bpc(b) of the energy storage converter node is calculated, and the control weight bqz(b) of the energy storage converter node is obtained. ; The control weight of the energy storage converter node is recorded, and the energy storage converter node is optimized according to the control weight of the energy storage converter node. Step S23: By controlling and optimizing the battery cluster node and the energy storage converter node, the optimized power of the battery cluster node and the energy storage converter node is calculated, and the battery cluster optimized power and the converter optimized power are obtained. The optimized power is counted to obtain the optimization information. Step S231: The control weight of the battery cluster node is obtained, and the battery cluster control power is adjusted according to the control weight of the battery cluster node to obtain the battery cluster adjustment power dtz(a). The battery cluster adjustment power dtz(a) is counted, the battery cluster adjustment power is combined with the battery cluster control power dkz(a), the missing value of the adjustment power is calculated, the missing value is passed through the control weight dqz(a) of the battery cluster node, the power of the battery cluster node is allocated, the battery cluster adjustment power is optimized according to the power allocation result, and the battery cluster optimized power dyh(a) is obtained. ; As for multiple nodes, the control powers thereof are 100, 200 and 300 respectively, the control weights thereof are 110%, 100% and 90% respectively, the adjustment powers thereof are 100*110%=110, 200*100%=200 and 300*90%=270 respectively, the total number of the adjustment powers after adjustment is 110+200+270=580, the total number of the adjustment powers before adjustment is 100+200+300=600, and 20 is missing from the total number of the powers; the missing power is supplemented and optimized to the adjustment power according to the control weight in proportion, the optimized power of the first node is 110+20*110% / (110%+100%+90%) =117.3, the optimized power of the second node is 200+20*100% / (110%+100%+90%) =206.7, and the optimized power of the third node is 270+20*90% / (110%+100%+90%) =276. It should be noted that the missing value calculation is used to perform overall calculation on the power of the battery cluster node, to guarantee consistency of power transmission and to enhance the accuracy of power calculation of the battery cluster node.

[0029] Step S232: The control weight of the energy storage converter node is obtained, the converter control power is adjusted according to the control weight of the energy storage converter node, and the converter adjustment power btz(b) is obtained. The converter adjustment power btz(b) is counted, the converter adjustment power is combined with the converter control power bkz(b), the missing value of the adjustment power is calculated, the missing value is passed through the control weight bqz(b) of the energy storage converter node, the power of the converter node is allocated, the converter adjustment power is optimized according to the power allocation result, and the converter optimized power byh(b) is obtained. ; The battery cluster optimized power dyh(a) and the converter optimized power byh(b) are counted, and the optimization information is obtained.

[0030] It should be noted that the battery cluster node and the energy storage converter node are connected to each other, the correlation of the calculation is reduced, and the accuracy of the calculation result is enhanced by independently calculating the battery cluster node and the energy storage converter node; the battery cluster node and the energy storage converter are calculated by the same calculation method, and the stability of the calculation formula is increased.

[0031] Step S3: obtaining the power information of the battery cluster node and the energy storage converter node through the optimization information, and coordinating the power of the battery cluster node and the energy storage converter node according to the power information; It should be noted that the power information obtained through the optimization information is mainly the battery cluster optimization power and the converter optimization power.

[0032] Step S31: obtaining the battery cluster optimization power and the converter optimization power according to the optimization information, obtaining the connection relationship of the battery cluster node and the energy storage converter node, and associating the battery cluster optimization power and the converter optimization power through the connection relationship; Please refer to Figure 2 Step S32: coordinating the battery cluster node and the energy storage converter node according to the association of the battery cluster optimization power and the converter optimization power, and balancing the power load of the battery cluster node and the energy storage converter node; Step S321: obtaining the connected energy storage converter node and battery cluster node according to the connection relationship of the battery cluster node and the energy storage converter node, obtaining the connection line ljx(b, a), if the bth energy storage converter node is connected to the ath battery cluster node, assigning the connection line ljx(b, a) to 1, if the bth energy storage converter node is not connected to the ath battery cluster node, assigning the connection line ljx(b, a) to 0; Step S322: counting the battery cluster node connected to the energy storage converter node according to the connection line, accumulating ljx(b, 1) to ljx(b, a) to obtain the connection number of the bth energy storage converter node, and sorting the energy storage converter node in ascending order according to the connection number; Step S323: regulating the converter optimization power of the energy storage converter node according to the ascending order, recording the converter optimization power when the energy storage converter node power output is abnormal, transmitting to the next energy storage converter node, and dividing the converter optimization power to the connection line of the energy storage converter node; It should be noted that the energy storage converter node power output abnormality refers to the node damage leading to the inability to continue to use, transferring the transmission task of the node, giving more nodes to the connection line through the transfer, guaranteeing the normal completion of the transmission task, and at the same time, the more nodes of the connection line can perform secondary distribution of the transmission task, and can accommodate higher intensity transmission task.

[0033] Step S324: Statistics of the battery cluster optimization power, combination of the converter optimization power, connection of the battery cluster node, power transmission of the energy storage converter node; Step S4: Obtain the battery module of the battery cluster node, power optimization of the battery module through the power information of the battery cluster node, and node power coordination of the battery cluster node.

[0034] Please refer to Figure 3 Step S41: According to the battery cluster node, obtain the battery module, count the number of battery modules, obtain the storage power of each battery module according to the number of battery modules, obtain the rated power of the battery module, and judge the stability value of the battery module through the ratio of the storage power and the rated power. Step S411: Obtain the battery module composition in the battery cluster node, count the number of battery modules, denoted as cs, obtain the rated power of each battery module, denoted as edg(c), obtain the storage power of the battery module, denoted as dcg(c), and based on the storage power of the battery module, the battery cluster optimization power dyh(a) of the battery cluster node is consumed, and the consumption stability value xwd(c) of the battery module is calculated. ; It should be noted that: the rated power represents the total amount of energy that the battery module can store, and the storage power represents the stored energy of the battery module.

[0035] It should be noted that: by dividing the battery cluster optimization power dyh(a) into cs battery modules, the power is consumed, the consumption energy of the battery module is judged, the consumption power of the battery module is regulated by the consumption capacity, the regulation accuracy is enhanced, and the stability of the battery cluster node is enhanced by regulating the battery module.

[0036] When xwd(c) is greater than or equal to 1 or xwd(c) is less than or equal to 0, it indicates that the battery module cannot consume power, and the consumption power is transferred; When xwd(c) is greater than or equal to 0.85 or xwd(c) is less than or equal to 0.15, it indicates that the battery module can consume power, but the stability is low. When 0.15 It should be noted that: 0.15 and 0.85 refer to 15% space reservation for the consumption of the battery module, and the threshold setting of the existing energy storage is usually 15%, so the present application reserves 15% space for the consumption of the battery module.

[0037] Step S412: When the battery module cannot accommodate the power, the accommodation power of the battery module is transferred to the stable battery module, the overall battery module of the battery cluster node is made stable through the cyclic control mode, the actual accommodation power of each battery module is counted, and the control power of the battery module is obtained; Step S42: The battery cluster node is overall planned according to the stable value of the battery module, the control power of the battery module is obtained, and the battery module of the battery cluster node is controlled.

[0038] The preferred embodiments disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details and limit the present application to the specific embodiments. Obviously, many modifications and variations can be made according to the content of the present application. The present application is selected and described in detail to better explain the principles and practical application of the present application, so that those skilled in the art can well understand and use the present application. The present application is limited by the claims and their full scope and equivalents.

Claims

1. A multi-node power coordination method for industrial and commercial energy storage systems, characterized in that, include: Step S1: Perform node acquisition on the energy storage system to obtain the battery cluster node and the energy storage converter node; The power of the battery cluster node and the energy storage converter node is monitored to obtain monitoring data; Step S2: Obtain the charging and discharging plan of the energy storage system, control the battery cluster nodes and energy storage converter nodes to obtain control information; combine the control information with the monitoring data to calculate the control deviation of the nodes, and optimize the control information based on the control deviation to obtain optimized information; Step S3: Obtain the power information of the battery cluster node and the energy storage converter node through optimization information, and perform power coordination between the battery cluster node and the energy storage converter node based on the power information. Step S4: Obtain the battery modules of the battery cluster nodes, optimize the power of the battery modules using the power information of the battery cluster nodes, and coordinate the power within the battery cluster nodes.

2. The multi-node power coordination method of industrial and commercial energy storage system according to claim 1, characterized in that, The specific steps of step S1 are as follows: Step S11: Extract the battery clusters in the energy storage system as battery cluster nodes, count the number of battery cluster nodes, denoted as as, monitor the power of each battery cluster node, and obtain the battery cluster power cgl(a). Step S12: Extract the energy storage converter nodes, count the number of energy storage converter nodes, denoted as bs, and perform power monitoring on each energy storage converter node to obtain the converter power bgl(b). Step S13: Statistically analyze the power of the battery cluster and the power of the converter to obtain monitoring data.

3. The multi-node power coordination method of industrial and commercial energy storage system according to claim 1, characterized in that, The specific steps of step S2 are as follows: Step S21: Obtain the charging and discharging plan of the energy storage system, control the battery cluster node and the energy storage converter node to obtain control information, obtain the control power of the battery cluster node through the control information, and obtain the control power of the energy storage converter node through the control information. Step S22: By monitoring data, the power of the battery cluster and the power of the converter are acquired, and the control deviation of the node is calculated by combining the control power of the battery cluster and the control power of the converter; the control of the battery cluster node and the energy storage converter node is optimized based on the control deviation of the node. Step S23: By optimizing the control of the battery cluster node and the energy storage converter node, calculate the optimized power of the battery cluster node and the energy storage converter node, obtain the optimized power of the battery cluster and the optimized power of the converter, and statistically analyze the optimized power to obtain optimization information.

4. The multi-node power coordination method of claim 3, wherein, The specific steps of step S21 are as follows: Step S211: Based on the energy storage system's charging and discharging plan, acquire the energy dispatch strategy of the energy storage system and extract the preset dispatch data of the battery cluster nodes and energy storage converter nodes; Step S212: Obtain the power change value of the battery cluster node through the preset scheduling data of the battery cluster node, and obtain the battery cluster control power, which is denoted as dkz(a); Obtain the power change value of the energy storage converter node through the preset scheduling data of the energy storage converter node, and obtain the converter control power bkz(b).

5. The multi-node power coordination method of a utility-scale energy storage system according to claim 3, wherein, The specific steps of step S22 are as follows: Step S221: According to the monitoring data, the battery cluster power is obtained, and the control deviation dpc(a) of the battery cluster node is calculated by combining the battery cluster control power dkz(a) with the battery cluster power cgl(a); The control deviation dpc(a) of the battery cluster node is statistically calculated to obtain the control weight dqz(a) of the battery cluster node; The control weight of the battery cluster node is recorded, and the battery cluster node is optimized according to the control weight of the battery cluster node; Step S222: According to the monitoring data, the converter power is obtained, and the control deviation bpc(b) of the energy storage converter node is calculated by combining the converter control power bkz(b) with the converter power bgl(b); The control deviation bpc(b) of the energy storage converter node is statistically calculated to obtain the control weight bqz(b) of the energy storage converter node; The control weight of the energy storage converter node is recorded, and the energy storage converter node is optimized according to the control weight of the energy storage converter node.

6. The multi-node power coordination method of a utility-scale energy storage system according to claim 3, wherein, The specific steps of the step S23 are as follows: Step S231: The battery cluster adjustment power dtz(a) is counted, the missing value of the adjustment power is calculated according to the battery cluster adjustment power and the battery cluster control power dkz(a), the missing value is distributed to the battery cluster node through the control weight dqz(a) of the battery cluster node, the battery cluster adjustment power is optimized according to the power distribution result, and the battery cluster optimization power dyh(a) is obtained; Step S232: The control weight of the energy storage converter node is obtained, the converter control power is adjusted according to the control weight of the energy storage converter node, and the converter adjustment power btz(b) is obtained; The converter adjustment power btz(b) is counted, the missing value of the adjustment power is calculated according to the converter adjustment power and the converter control power bkz(b); the converter node is power distributed according to the missing value and the control weight bqz(b), and the converter adjustment power is optimized to obtain the converter optimization power byh(b); The battery cluster optimization power dyh(a) and the converter optimization power byh(b) are counted to obtain optimization information.

7. The method of claim 1, wherein, The specific steps of the step S3 are as follows: Step S31: According to the optimization information, the battery cluster optimization power and the converter optimization power are obtained, the connection relationship between the battery cluster node and the energy storage converter node is obtained, and the battery cluster optimization power and the converter optimization power are associated through the connection relationship; Step S32: The battery cluster node and the energy storage converter node are coordinated according to the association of the battery cluster optimization power and the converter optimization power.

8. The multi-node power coordination method of a utility-scale energy storage system according to claim 7, wherein, The specific steps of the step S32 are as follows: Step S321: According to the connection relationship between the battery cluster node and the energy storage converter node, the connected energy storage converter node and the battery cluster node are obtained, and the connection line ljx(b, a) is obtained. If the bth energy storage converter node is connected with the ath battery cluster node, the connection line ljx(b, a) is assigned as 1, and if the bth energy storage converter node is not connected with the ath battery cluster node, the connection line ljx(b, a) is assigned as 0; Step S322: According to the connection line, the battery cluster node connected with the energy storage converter node is counted, and ljx(b, 1) to ljx(b, a) are accumulated to obtain the connection number of the bth energy storage converter node. According to the connection number, the energy storage converter node is sorted in ascending order; Step S323: According to the ascending order, the converter optimization power of the energy storage converter node is regulated. When the power output of the energy storage converter node is abnormal, the converter optimization power is recorded and transmitted to the next energy storage converter node.

9. The method of claim 1, wherein, The specific steps of step S4 are as follows: Step S41: According to the battery cluster node, the battery module is obtained, the number of battery modules is counted, the storage power of each battery module is obtained, the rated power of the battery module is obtained, and the stability value of the battery module is judged by the ratio of the storage power to the rated power; Step S42: According to the stability value of the battery module, the battery cluster node is planned as a whole, the regulation power of the battery module is obtained, and the battery module of the battery cluster node is controlled.

10. The multi-node power coordination method of a utility-scale energy storage system according to claim 9, wherein, The specific steps of step S41 are as follows: Step S411: The battery module structure in the battery cluster node is obtained, the number of battery modules is counted, and is denoted as cs; the rated power of each battery module is obtained, and is denoted as edg(c); the storage power of the battery module is obtained, and is denoted as dcg(c); based on the storage power of the battery module, the battery cluster optimization power dyh(a) of the battery cluster node is absorbed, and the absorption stability value xwd(c) of the battery module is calculated; When xwd(c)≥1 or xwd(c)≤0, it indicates that the battery module cannot absorb power, and the absorption power is transferred; When xwd(c)≥0.85 or xwd(c)≤0.15, it indicates that the battery module can absorb power, but the stability is low; When 0.15 Step S412: When the battery module cannot absorb power, the absorption power of the battery module is transferred to the battery module with stable absorption, the overall battery module absorption of the battery cluster node is stable through cyclic regulation, the actual absorption power of each battery module is counted, and the regulation power of the battery module is obtained.

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