A comprehensive management method for energy storage system

Abstract

The present application relates to the technical field of pure energy storage systems, and in particular to a comprehensive management method for energy storage systems. The method comprises: establishing multiple first-level energy storage nodes according to the equipment parameters of the energy storage system; presetting multiple adjustment cycles, and generating a scheduling allocation strategy within a single adjustment cycle according to the grid demand parameters and the operating parameters of each first-level energy storage node; generating an operation risk value according to a preset feedback time node, and judging whether to modify the instruction according to the operation risk value; by establishing multiple adjustment cycles, periodically and dynamically adjusting the operating parameters of the energy storage system, and setting up spare energy storage nodes in each adjustment cycle, so as to avoid the operation loss of the energy storage system caused by the operation fluctuation of the grid, and when formulating the scheduling allocation strategy within a single adjustment cycle, the optimal allocation is performed according to the adjustable power available for each second-level energy storage node combined with the loss evaluation value of each second-level energy storage node, so as to reduce the operation and maintenance cost of the energy storage system and increase the service life of the energy storage system.

Description

Technical Field

[0001] The present application relates to the technical field of pure energy storage systems, and in particular to a comprehensive management method for energy storage systems. Background Art

[0002] With the development and maturity of energy storage technology, energy storage systems have been widely used in various links of power system such as generation, transmission, distribution and delivery, greatly improving the flexibility and stability of power grid operation.

[0003] However, due to the limitation of battery capacity and the different loads of the power grid at different times, the current energy storage system may be unable to stabilize the power grid in time due to excessive power grid fluctuations. It may also cause over-charging and over-discharging of the energy storage system, exacerbating the loss of energy storage equipment. At the same time, during the operation of the energy storage system, some batteries may have problems such as excessive single-cell temperature due to their own operation and environmental influences, affecting the service life and safe operation of the energy storage system. Summary of the invention

[0004] The purpose of this application is: to solve the above technical problems, this application provides a comprehensive management method for an energy storage system, aiming to ensure the stable operation of the energy storage system, increase the service life of the energy storage system, and reduce the loss of the energy storage system.

[0005] In some embodiments of the present application, by establishing multiple adjustment cycles, the operating parameters of the energy storage system are periodically and dynamically adjusted, and a backup energy storage node is set in each adjustment cycle, thereby avoiding the operating losses of the energy storage system caused by the operating fluctuations of the power grid and ensuring the auxiliary regulation efficiency of the energy storage system for the power grid.

[0006] In some embodiments of the present application, when formulating a scheduling allocation strategy within a single adjustment cycle, optimal allocation is performed based on the adjustable power available for each secondary energy storage node combined with the loss evaluation value of each secondary energy storage node, so that the loss degree of each secondary energy storage node tends to be averaged, thereby reducing the operation and maintenance cost of the energy storage system and increasing the service life of the energy storage system.

[0007] In some embodiments of the present application, the operating status of the internal energy storage system is periodically monitored by presetting multiple feedback time nodes, and the working parameters of abnormal energy storage nodes are corrected in time to avoid operating failures that affect the overall operating efficiency of the energy storage system. At the same time, the potential operating risks of the energy storage system are promptly inspected and repaired to ensure the stable operation of the energy storage system and increase the service life of the energy storage system.

[0008] In some embodiments of the present application, a comprehensive management method for an energy storage system is provided, comprising: Establish multiple first-level energy storage nodes according to the equipment parameters of the energy storage system; Preset multiple regulation cycles, and generate a dispatch allocation strategy within a single regulation cycle based on grid demand parameters and the operating parameters of each primary energy storage node; Generate an operation risk value according to the preset feedback time node, and determine whether to modify the instruction according to the operation risk value; Among them, when establishing multiple first-level energy storage nodes, it includes: Generate a first-level energy storage node sequence A, A=(a 1 , a 2 …a i …a n ), where a i is the i-th primary energy storage node; n is the number of primary energy storage nodes.

[0009] In some embodiments of the present application, when generating a scheduling allocation strategy within a single adjustment cycle, it includes: At the start time of the current regulation cycle, grid demand parameters and the storage capacity of each primary energy storage node are obtained; Establish the power storage series B, B = (b 1 ,b 2 …b i …b n ), where b i is the storage capacity of the i-th primary energy storage node at the start time of the current regulation cycle; Generate the loss evaluation value of each primary energy storage node and establish the loss evaluation value series C, C=(c 1 ,c 2 …c i …c n ), where c i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Generate a fluctuation evaluation value p according to the grid operation parameters in the previous regulation cycle; According to the fluctuation evaluation value p, the backup energy storage node of the current regulation cycle is set; Set each non-backup energy storage node as a secondary energy storage node; Generate a scheduling allocation strategy for the current regulation cycle based on all secondary energy storage nodes.

[0010] In some embodiments of the present application, the generation of the loss evaluation value of each primary energy storage node includes: According to the number of primary energy storage nodes A, set a i It is the target primary energy storage node; Generate a loss evaluation value c of the target primary energy storage node according to the historical operating parameters of the target primary energy storage node; c= βi*w i ; in, is the number of loss evaluation indicators; β i is the influencing factor of the i-th loss evaluation index; w i is the reference value of the i-th loss evaluation index generated based on the historical operating parameters of the target primary energy storage node; Generate the loss evaluation value of each primary energy storage node in turn.

[0011] In some embodiments of the present application, when the backup energy storage node of the current adjustment period is set according to the fluctuation evaluation value k, it includes: Set the reserve storage capacity according to the fluctuation evaluation value; Establish the redundant evaluation value series J of the current adjustment cycle, J=(j 1 , j 2 …j i …j n ), where j i is the redundancy evaluation value of the i-th primary energy storage node in the current adjustment cycle; j i =e1*Q1*(b i -b') 2 +e2*Q2*c i ; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; b' is the preset first storage capacity; The backup energy storage node of the current regulation cycle is set according to the backup storage capacity and the redundant evaluation value sequence J.

[0012] In some embodiments of the present application, when a scheduling allocation strategy for a current adjustment period is generated according to all secondary energy storage nodes, it includes: Establish the secondary energy storage node sequence A1 of the current regulation cycle, A1=(a 11 ,a 12 …a 1i …a 1n1 ), where a 1i is the i-th secondary energy storage node in the current regulation cycle; n1 is the number of secondary energy storage nodes in the current regulation cycle; Generate the adjustable power series K of each secondary energy storage node, K=(k 1 , k 2 …k i …k n1 ), where k i is the available adjustable power of the i-th secondary energy storage node at the start time of the current regulation cycle; Generate compensation coefficients for each secondary energy storage node; Establish compensation coefficient series R, R= (r 1 , r 2 …r i …r n1 ), where r i is the compensation coefficient of the i-th secondary energy storage node; Generate the required amount of electricity K1 according to the grid demand parameters at the start time node of the current regulation cycle; Generate allocation values ​​for each secondary energy storage node; Generate a scheduling allocation strategy for the current adjustment period based on all allocation values.

[0013] In some embodiments of the present application, when generating the allocation value of each secondary energy storage node, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the allocation value s of the target secondary energy storage node; s=K1*{r*k / [ (r i *k i )]}; Wherein, k is the available adjustable power of the target primary energy storage node at the start time of the current regulation cycle; r is the compensation coefficient of the target primary energy storage node in the current regulation cycle; Generate the allocation value of each secondary energy storage node in turn; Establish the distribution value sequence S of the current adjustment cycle, S=(s 1 ,s 2 …s i …s n1 ), where s i is the allocation value of the i-th secondary energy storage node in the current regulation cycle.

[0014] In some embodiments of the present application, when generating the compensation coefficient of each secondary energy storage node, it includes: Establish loss evaluation value series C1, C1=(c 11 , c 12 …c 1i …c 1n1 ), where c 1i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Preset the first loss evaluation value interval (C'1, C'2), the second loss evaluation value interval (C'2, C'3), and the first loss evaluation value interval (C'3, C'4); If c 1i When in the preset first loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, ri =R1; If c 1i When in the preset second loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R2; If c 1i When in the preset third loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R3; and R3 <R2<R1<1。

[0015] In some embodiments of the present application, when determining whether to modify an instruction according to the operation risk value, the process includes: Set multiple feedback time nodes within the current adjustment cycle; Obtain monitoring data of each secondary energy storage node at the current feedback time node; Generate the operation risk value of each secondary energy storage node in turn; Establish the operational risk value series F, F=(f 1 ,f 2 …f i …f n1 ), where f i is the operating risk value of the i-th secondary energy storage node at the current feedback time node; Preset the first operation risk value threshold F1; If f i >F1, set the i-th secondary energy storage node as an abnormal energy storage node; Generate correction instructions for the current feedback time node based on all abnormal energy storage nodes.

[0016] In some embodiments of the present application, when the operation risk value of each secondary energy storage node is generated in sequence, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the temperature monitoring value series T of the target secondary energy storage node at the current feedback time node, T=(t 1 , t 2 …t i …t m ), where m is the number of feedback time nodes between the start time node of the current regulation cycle and the current feedback time node; ti is the temperature monitoring value of the target secondary energy storage node at the i-th feedback time node in the current regulation cycle; tm is the temperature monitoring value of the target secondary energy storage node at the current feedback time node; Generate an operation risk value f of the target secondary energy storage node; f=e3*Q3*(t m-t') + e4 * Q4 * (t i -Δt) 2 ; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; t' is a preset temperature value threshold; Δt is the average value of all data in the temperature monitoring value sequence T.

[0017] In some embodiments of the present application, it further includes: Generating a maintenance evaluation value g for the current feedback time node according to the operation risk value sequence F; g = ηi * fi; Among them, ηi is an influence factor set based on the loss evaluation value of the i-th secondary energy storage node; Presetting a first maintenance evaluation value threshold G1 and a second maintenance evaluation value threshold G2; If g < G1, no maintenance instruction is generated at the current feedback time node; If G1 < g < G2, a first-level maintenance instruction is generated at the current feedback time node; If g > G2, a second-level maintenance instruction is generated at the current feedback time node.

[0018] Compared with the prior art, the beneficial effects of a comprehensive energy storage system management method in an embodiment of the present application are as follows: By establishing multiple adjustment cycles, the operation parameters of the energy storage system are periodically and dynamically adjusted, and standby energy storage nodes are set in each adjustment cycle, thereby avoiding the operation loss of the energy storage system caused by the operation fluctuation of the power grid and ensuring the auxiliary adjustment efficiency of the energy storage system for the power grid.

[0019] When formulating the scheduling and allocation strategy within a single adjustment cycle, optimization allocation is performed according to the adjustable power of each secondary energy storage node combined with the loss evaluation value of each secondary energy storage node, so that the loss degree of each secondary energy storage node tends to be average, reducing the operation and maintenance cost of the energy storage system and increasing the service life of the energy storage system.

[0020] By presetting multiple feedback time nodes to periodically monitor the internal operation status of the energy storage system, the working parameters of abnormal energy storage nodes are corrected in a timely manner, avoiding the occurrence of operation failures and affecting the overall operation efficiency of the energy storage system. At the same time, the potential operation risks of the energy storage system are repaired in a timely manner, ensuring the stable operation of the energy storage system and increasing the service life of the energy storage system. Description of the Drawings

[0021] Figure 1 It is a schematic flow chart of a comprehensive energy storage system management method in a preferred embodiment of an embodiment of the present application. DETAILED DESCRIPTION

[0022] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0023] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0024] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0025] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0026] like Figure 1 As shown, a comprehensive management method for an energy storage system according to a preferred embodiment of the present application includes: S101: Establish multiple first-level energy storage nodes according to equipment parameters of the energy storage system; S102: Preset multiple regulation cycles, and generate a scheduling allocation strategy within a single regulation cycle according to grid demand parameters and operating parameters of each primary energy storage node; S103: generating an operation risk value according to a preset feedback time node, and determining whether to modify the instruction according to the operation risk value; Among them, when establishing multiple first-level energy storage nodes, it includes: Generate a first-level energy storage node sequence A, A=(a 1 , a 2 …a i …a n ), where a iis the i-th primary energy storage node; n is the number of primary energy storage nodes.

[0027] Specifically, a first-level energy storage node array is established according to the number of batteries in the energy storage system, wherein a single first-level energy storage node represents a battery.

[0028] Specifically, when generating a scheduling allocation strategy within a single adjustment cycle, it includes: At the start time of the current regulation cycle, grid demand parameters and the storage capacity of each primary energy storage node are obtained; Establish the power storage series B, B = (b 1 ,b 2 …b i …b n ), where b i is the storage capacity of the i-th primary energy storage node at the start time of the current regulation cycle; Generate the loss evaluation value of each primary energy storage node and establish the loss evaluation value series C, C=(c 1 ,c 2 …c i …c n ), where c i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Generate a fluctuation evaluation value p according to the grid operation parameters in the previous regulation cycle; According to the fluctuation evaluation value p, the backup energy storage node of the current regulation cycle is set; Set each non-backup energy storage node as a secondary energy storage node; Generate a scheduling allocation strategy for the current regulation cycle based on all secondary energy storage nodes.

[0029] Specifically, multiple regulation cycles can be set according to the predicted grid demand curve and the predicted power generation curve, and the energy storage system only charges or only discharges in a single regulation cycle.

[0030] Specifically, the storage capacity is just the remaining capacity of the battery corresponding to the current first-level energy storage node.

[0031] Specifically, the loss evaluation value refers to the accumulated loss of the battery corresponding to the primary energy storage node after a long period of charging and discharging operations. The larger the loss evaluation value, the greater the possibility of operating failure of the corresponding battery and the smaller the remaining service life.

[0032] Specifically, when generating the loss evaluation value of each primary energy storage node, it includes: According to the number of primary energy storage nodes A, set a i It is the target primary energy storage node; Generate a loss evaluation value c of the target primary energy storage node according to the historical operating parameters of the target primary energy storage node; c= βi *w i ; in, is the number of loss evaluation indicators; β i is the influencing factor of the i-th loss evaluation index; w i is the reference value of the i-th loss evaluation index generated based on the historical operating parameters of the target primary energy storage node; Generate the loss evaluation value of each primary energy storage node in turn.

[0033] Specifically, the loss evaluation indicators include but are not limited to the number of historical failures, charge and discharge frequency, cumulative charge and discharge amount, single charge and discharge amount, and other parameters that may affect the battery life.

[0034] It is understandable that in the above embodiment, by establishing multiple adjustment cycles, the operating parameters of the energy storage system are periodically and dynamically adjusted, thereby avoiding the operating losses of the energy storage system caused by the operating fluctuations of the power grid and ensuring the auxiliary regulation efficiency of the energy storage system for the power grid.

[0035] In a preferred embodiment of the present application, when the backup energy storage node of the current adjustment cycle is set according to the fluctuation evaluation value k, it includes: Set the reserve storage capacity according to the fluctuation evaluation value; Establish the redundant evaluation value series J of the current adjustment cycle, J=(j 1 , j 2 …j i …j n ), where j i is the redundancy evaluation value of the i-th primary energy storage node in the current adjustment cycle; j i =e1*Q1*(b i -b') 2 +e2*Q2*c i ; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; b' is the preset first storage capacity; The backup energy storage node of the current regulation cycle is set according to the backup storage capacity and the redundant evaluation value sequence J.

[0036] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient and the second fixed coefficient, so that each parameter is within the same value range.

[0037] Specifically, the larger the fluctuation evaluation value, the greater the possibility of load fluctuation in the current power grid, and the corresponding reserve storage capacity is larger. The specific mapping relationship between the reserve storage capacity and the fluctuation evaluation value can be set according to historical parameters. Specifically, the first storage capacity refers to half of the storage capacity of the battery. The larger the redundancy evaluation value is, the better the regulation effect of the current first-level energy storage node is when the power grid experiences load fluctuations.

[0038] Specifically, the backup energy storage nodes are selected in descending order according to the redundancy evaluation values ​​until the total adjustable power of the backup energy storage nodes is greater than the backup energy storage power.

[0039] It is understandable that in the above embodiments, by setting a backup energy storage node in each regulation cycle, the operation loss of the energy storage system caused by the operation fluctuation of the power grid is avoided, thereby ensuring the auxiliary regulation efficiency of the energy storage system for the power grid.

[0040] In a preferred embodiment of the present application, when a scheduling allocation strategy for the current adjustment period is generated according to all secondary energy storage nodes, it includes: Establish the secondary energy storage node sequence A1 of the current regulation cycle, A1=(a 11 ,a 12 …a 1i …a 1n1 ), where a 1i is the i-th secondary energy storage node in the current regulation cycle; n1 is the number of secondary energy storage nodes in the current regulation cycle; Generate the adjustable power series K of each secondary energy storage node, K=(k 1 , k 2 …k i …k n1 ), where k i is the available adjustable power of the i-th secondary energy storage node at the start time of the current regulation cycle; Generate compensation coefficients for each secondary energy storage node; Establish compensation coefficient series R, R= (r 1 , r 2 …r i …r n1 ), where r i is the compensation coefficient of the i-th secondary energy storage node; Generate the required amount of electricity K1 according to the grid demand parameters at the start time node of the current regulation cycle; Generate allocation values ​​for each secondary energy storage node; Generate a scheduling allocation strategy for the current adjustment period based on all allocation values.

[0041] Specifically, if the energy storage system performs a discharge operation in the current regulation cycle, the available power for regulation is the remaining power value in the battery of each secondary energy storage node. If the current regulation cycle is a charging operation, the available power for regulation is the difference between the remaining power value in the battery of each secondary energy storage node and the total power value.

[0042] Specifically, when generating the allocation value of each secondary energy storage node, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the allocation value s of the target secondary energy storage node; s=K1*{r*k / [ (r i *k i )]}; Wherein, k is the available adjustable power of the target primary energy storage node at the start time of the current regulation cycle; r is the compensation coefficient of the target primary energy storage node in the current regulation cycle; Generate the allocation value of each secondary energy storage node in turn; Establish the distribution value sequence S of the current adjustment cycle, S=(s 1 ,s 2 …s i …s n1 ), where s i is the allocation value of the i-th secondary energy storage node in the current regulation cycle.

[0043] Specifically, when generating the compensation coefficient of each secondary energy storage node, it includes: Establish loss evaluation value series C1, C1=(c 11 , c 12 …c 1i …c 1n1 ), where c 1i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Preset the first loss evaluation value interval (C'1, C'2), the second loss evaluation value interval (C'2, C'3), and the first loss evaluation value interval (C'3, C'4); If c 1i When in the preset first loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R1; If c 1i When in the preset second loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R2; If c 1iWhen in the preset third loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R3; and R3 <R2<R1<1。

[0044] Specifically, the greater the loss evaluation value, the smaller the corresponding compensation coefficient. By setting the compensation coefficient, the allocation value of each secondary energy storage node is dynamically adjusted to avoid excessive charging and discharging of each secondary energy storage node, which would aggravate the loss of the energy storage equipment.

[0045] It can be understood that in the above embodiment, when formulating the scheduling allocation strategy within a single adjustment cycle, the optimal allocation is performed based on the adjustable power available for each secondary energy storage node combined with the loss evaluation value of each secondary energy storage node, so that the loss degree of each secondary energy storage node tends to be averaged, thereby reducing the operation and maintenance cost of the energy storage system and increasing the service life of the energy storage system.

[0046] In a preferred embodiment of the present application, when judging whether to modify the instruction according to the operation risk value, it includes: Set multiple feedback time nodes within the current adjustment cycle; Obtain monitoring data of each secondary energy storage node at the current feedback time node; Generate the operation risk value of each secondary energy storage node in turn; Establish the operational risk value series F, F=(f 1 ,f 2 …f i …f n1 ), where f i is the operating risk value of the i-th secondary energy storage node at the current feedback time node; Preset the first operation risk value threshold F1; If f i >F1, set the i-th secondary energy storage node as an abnormal energy storage node; Generate correction instructions for the current feedback time node based on all abnormal energy storage nodes.

[0047] Specifically, the correction instruction means shutting down the current abnormal energy storage node and starting the backup energy storage node to complete the charging and discharging tasks of the current regulation cycle, thus avoiding operation failures caused by overheating of the abnormal energy storage node.

[0048] Specifically, the first operation risk value threshold can be set according to historical parameters. When the operation risk value of the secondary energy storage node exceeds the threshold, it indicates that the corresponding secondary energy storage node is more likely to have an operation failure.

[0049] Specifically, when generating the operation risk value of each secondary energy storage node in turn, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the temperature monitoring value series T of the target secondary energy storage node at the current feedback time node, T=(t 1 , t 2 …t i …t m ), where m is the number of feedback time nodes between the start time node of the current regulation cycle and the current feedback time node; ti is the temperature monitoring value of the target secondary energy storage node at the i-th feedback time node in the current regulation cycle; tm is the temperature monitoring value of the target secondary energy storage node at the current feedback time node; Generate an operation risk value f of the target secondary energy storage node; f=e3*Q3*(t m -t')+e4*Q4*[ (t i -Δt) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; t' is the preset temperature value threshold; Δt is the average value of all data in the temperature monitoring value series T.

[0050] Specifically, the temperature value threshold t' can be set according to historical operating parameters. When the operating temperature of a single battery exceeds the temperature value threshold, an operating failure is likely to occur.

[0051] Specifically, in the above embodiment, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter is within the same value range.

[0052] Specifically, by presetting multiple feedback time nodes to periodically monitor the internal operating status of the energy storage system, the working parameters of abnormal energy storage nodes are corrected in time to avoid operational failures that affect the overall operating efficiency of the energy storage system. At the same time, the potential operating risks of the energy storage system are promptly inspected and repaired to ensure the stable operation of the energy storage system and increase the service life of the energy storage system.

[0053] Specifically, it also includes: Generate the maintenance evaluation value g of the current feedback time node according to the operation risk value series F; g= ηi*fi; Among them, ηi is the impact factor set based on the loss evaluation value of the i-th secondary energy storage node; Preset the first maintenance evaluation value threshold G1 and the second maintenance evaluation value threshold G2; If g < G1, no maintenance instruction is generated at the current feedback time node; If G1 < g < G2, a first-level maintenance instruction is generated at the current feedback time node; If g > G2, a second-level maintenance instruction is generated at the current feedback time node.

[0054] Specifically, the greater the loss evaluation value, the greater the corresponding influence factor ηi.

[0055] Specifically, the first-level maintenance instruction means that there are potential operation risks inside the current energy storage system, and maintenance needs to be carried out during non-operation periods to promptly eliminate potential risks and ensure the safe operation of the energy storage system. The second-level maintenance instruction means that the current energy storage system is in an abnormal operation state and needs to be shut down immediately for maintenance to avoid operation failures.

[0056] According to the first concept of the present application, by establishing multiple adjustment cycles, the operation parameters of the energy storage system are periodically and dynamically adjusted, and standby energy storage nodes are set within each adjustment cycle, thereby avoiding the operation loss of the energy storage system caused by the operation fluctuations of the power grid and ensuring the auxiliary adjustment efficiency of the energy storage system for the power grid.

[0057] According to the second concept of the present application, when formulating the scheduling and allocation strategy within a single adjustment cycle, an optimal allocation is carried out according to the adjustable power available at each secondary energy storage node in combination with the loss evaluation value of each secondary energy storage node, so that the loss degrees of each secondary energy storage node tend to be average, reducing the operation and maintenance costs of the energy storage system and increasing the service life of the energy storage system.

[0058] According to the third concept of the present application, by presetting multiple feedback time nodes to periodically monitor the operation state inside the energy storage system, the working parameters of abnormal energy storage nodes are corrected in a timely manner to avoid operation failures that affect the overall operation efficiency of the energy storage system. At the same time, the potential operation risks of the energy storage system are promptly maintained to ensure the stable operation of the energy storage system and increase the service life of the energy storage system.

[0059] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and substitutions can still be made, and these improvements and substitutions should also be regarded as the protection scope of the present application.

Claims

1. A comprehensive management method for an energy storage system, characterized in that: include: Establish multiple first-level energy storage nodes according to the equipment parameters of the energy storage system; Preset multiple regulation cycles, and generate a dispatch allocation strategy within a single regulation cycle based on grid demand parameters and the operating parameters of each primary energy storage node; Generate an operation risk value according to the preset feedback time node, and determine whether to modify the instruction according to the operation risk value; Among them, when establishing multiple first-level energy storage nodes, it includes: Generate a first-level energy storage node sequence A, A=(a1, a2…a i …a n ), where a i is the i-th primary energy storage node; n is the number of primary energy storage nodes.

2. The comprehensive management method of energy storage system according to claim 1, characterized in that: When generating a scheduling allocation strategy within a single adjustment cycle, it includes: At the start time of the current regulation cycle, grid demand parameters and the storage capacity of each primary energy storage node are obtained; Establish the power storage sequence B, B=(b1,b2…b i …b n ), where b i is the storage capacity of the i-th primary energy storage node at the start time of the current regulation cycle; Generate the loss evaluation value of each primary energy storage node and establish the loss evaluation value sequence C, C=(c1,c2…c i …c n ), where c i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Generate a fluctuation evaluation value p according to the grid operation parameters in the previous regulation cycle; According to the fluctuation evaluation value p, the backup energy storage node of the current regulation cycle is set; Set each non-backup energy storage node as a secondary energy storage node; Generate a scheduling allocation strategy for the current regulation cycle based on all secondary energy storage nodes.

3. The comprehensive management method of energy storage system according to claim 2, characterized in that: The generation of the loss evaluation value of each primary energy storage node includes: According to the number of primary energy storage nodes A, set a i It is the target primary energy storage node; Generate a loss evaluation value c of the target primary energy storage node according to the historical operating parameters of the target primary energy storage node; c= βi *w i ; in, is the number of loss evaluation indicators; β i is the influencing factor of the i-th loss evaluation index; w i is the reference value of the i-th loss evaluation index generated based on the historical operating parameters of the target primary energy storage node; Generate the loss evaluation value of each primary energy storage node in turn.

4. The comprehensive management method of energy storage system according to claim 2, characterized in that: When setting the backup energy storage node of the current regulation cycle according to the fluctuation evaluation value k, it includes: Set the reserve storage capacity according to the fluctuation evaluation value; Establish the redundant evaluation value sequence J of the current adjustment cycle, J=(j1, j2…j i …j n ), where j i is the redundancy evaluation value of the i-th primary energy storage node in the current adjustment cycle; j i =e1*Q1*(b i -b') 2 +e2*Q2*c i ; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; b' is the preset first storage capacity; The backup energy storage node of the current regulation cycle is set according to the backup storage capacity and the redundant evaluation value sequence J.

5. The comprehensive management method of energy storage system according to claim 4, characterized in that: When generating the dispatch allocation strategy for the current regulation cycle based on all secondary energy storage nodes, it includes: Establish the secondary energy storage node sequence A1 of the current regulation cycle, A1=(a 11 ,a 12 …a 1i …a 1n1 ), where a 1i is the i-th secondary energy storage node in the current regulation cycle; n1 is the number of secondary energy storage nodes in the current regulation cycle; Generate the adjustable power series K of each secondary energy storage node, K=(k1, k2…k i …k n1 ), where k i is the available adjustable power of the i-th secondary energy storage node at the start time of the current regulation cycle; Generate compensation coefficients for each secondary energy storage node; Establish compensation coefficient series R, R= (r1, r2…r i …r n1 ), where r i is the compensation coefficient of the i-th secondary energy storage node; Generate the required amount of electricity K1 according to the grid demand parameters at the start time node of the current regulation cycle; Generate allocation values ​​for each secondary energy storage node; Generate a scheduling allocation strategy for the current adjustment period based on all allocation values.

6. The comprehensive management method of energy storage system according to claim 5, characterized in that: When generating the allocation value of each secondary energy storage node, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the allocation value s of the target secondary energy storage node; s=K1*{r*k / [ (r i *k i )]}; Wherein, k is the available adjustable power of the target primary energy storage node at the start time of the current regulation cycle; r is the compensation coefficient of the target primary energy storage node in the current regulation cycle; Generate the allocation value of each secondary energy storage node in turn; Establish the distribution value sequence S of the current adjustment cycle, S=(s1, s2…s i …s n1 ), where s i is the allocation value of the i-th secondary energy storage node in the current regulation cycle.

7. The comprehensive management method of energy storage system according to claim 5, characterized in that: When generating the compensation coefficient of each secondary energy storage node, it includes: Establish loss evaluation value series C1, C1=(c 11 , c 12 …c 1i …c 1n1 ), where c 1i is the loss evaluation value of the i-th primary energy storage node in the current regulation cycle; Preset the first loss evaluation value interval (C'1, C'2), the second loss evaluation value interval (C'2, C'3), and the first loss evaluation value interval (C'3, C'4); If c 1i When in the preset first loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R1; If c 1i When in the preset second loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R2; If c 1i When in the preset third loss evaluation value interval, set r i The first compensation coefficient R1 is preset, that is, r i =R3; and R3 <R2<R1<1。 8. The comprehensive management method of energy storage system according to claim 6, characterized in that: When judging whether to modify the instruction based on the operation risk value, it includes: Set multiple feedback time nodes within the current adjustment cycle; Obtain monitoring data of each secondary energy storage node at the current feedback time node; Generate the operation risk value of each secondary energy storage node in turn; Establish the operational risk value series F, F=(f1,f2…f i …f n1 ), where f i is the operating risk value of the i-th secondary energy storage node at the current feedback time node; Preset the first operation risk value threshold F1; If f i >F1, set the i-th secondary energy storage node as an abnormal energy storage node; Generate correction instructions for the current feedback time node based on all abnormal energy storage nodes.

9. The comprehensive management method of energy storage system according to claim 8, characterized in that: When generating the operation risk value of each secondary energy storage node in sequence, it includes: According to the secondary energy storage node sequence A1, set a 1i is the target secondary energy storage node; Generate the temperature monitoring value series T of the target secondary energy storage node at the current feedback time node, T = (t1, t2…t i …t m ), where m is the number of feedback time nodes between the start time node of the current regulation cycle and the current feedback time node; ti is the temperature monitoring value of the target secondary energy storage node at the i-th feedback time node in the current regulation cycle; tm is the temperature monitoring value of the target secondary energy storage node at the current feedback time node; Generate an operation risk value f of the target secondary energy storage node; f=e3*Q3*(t m -t')+e4*Q4*[ (t i -Δt) 2 ]; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; t' is a preset temperature value threshold; Δt is the average value of all data in the temperature monitoring value sequence T.

10. The comprehensive management method of energy storage system according to claim 8, characterized in that: It also includes: Generating an overhaul evaluation value g for the current feedback time node according to the operation risk value sequence F; g= ηi*fi; Among them, ηi is an influence factor set based on the loss evaluation value of the i-th secondary energy storage node; Presetting a first overhaul evaluation value threshold G1 and a second overhaul evaluation value threshold G2; If g < G1, no overhaul instruction is generated at the current feedback time node; If G1 < g < G2, a first-level overhaul instruction is generated at the current feedback time node; If g > G2, a second-level overhaul instruction is generated at the current feedback time node.

Images