Energy storage management method, energy storage management device and photovoltaic system

Abstract

The present application relates to an energy storage management method, an energy storage management device and a photovoltaic system, including respectively predicting charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints according to different charging strategies; obtaining the target energy storage power according to the predicted charging and discharging constraints, the supply and demand balance constraints and the preset charging and discharging constraints in turn. In the present application, the target energy storage power is obtained according to the predicted charging and discharging constraints, the supply and demand balance constraints and the preset charging and discharging constraints in turn, and the target energy storage power can be obtained by considering the supply and demand, the charging and discharging capacity of the energy storage and the charging and discharging balance constraints preset by the management personnel based on the hardware conditions of the energy storage and the peak and valley electricity price strategy layer by layer, and the charging and discharging power of the energy storage can be accurately controlled to avoid the node voltage rise caused by the charging and discharging imbalance of the energy storage, which affects the safety of the transmission line and improves the safety of the power grid.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage management, and in particular to an energy storage management method, an energy storage management device and a photovoltaic system. Background Art

[0002] In some areas where distributed photovoltaics are densely installed, photovoltaic power generation has exceeded the power required by the local load, and the node voltage under the substation area has been raised by photovoltaic power generation. The increase in node voltage under the substation area will have an adverse effect on the quality of electrical appliances in the area (voltage overlimit> 7%), affecting the stable operation of the power grid. Summary of the invention

[0003] Based on this, it is necessary to provide an energy storage management method, an energy storage management device and a photovoltaic system to address the above technical problems.

[0004] In a first aspect, the present application provides an energy storage management method, the energy storage management method comprising:

[0005] According to different charging strategies, the predicted charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints are obtained respectively;

[0006] The target energy storage power is obtained according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in sequence.

[0007] In one embodiment, obtaining the target energy storage power according to the predicted charge and discharge constraint condition, the supply and demand balance constraint condition, and the preset charge and discharge constraint condition in sequence includes:

[0008] Acquire a first energy storage power according to the predicted charge and discharge constraint condition;

[0009] Acquire a second energy storage power according to the first energy storage power and the supply-demand balance constraint condition;

[0010] The target energy storage power is obtained according to the second energy storage power and the preset charge and discharge constraint condition.

[0011] In one embodiment, the obtaining the second energy storage power according to the first energy storage power and the supply-demand balance constraint condition includes:

[0012] In the case where the first energy storage power satisfies the supply-demand balance constraint condition, using the first energy storage power as the second energy storage power;

[0013] When the first energy storage power does not meet the supply and demand balance constraint condition, at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t is obtained, and the second energy storage power is obtained based on the first energy storage power and at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t.

[0014] In one embodiment, when the first energy storage power does not satisfy the supply-demand balance constraint condition, obtaining the second energy storage power according to the first energy storage power and at least one of the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t includes:

[0015] When the first energy storage power is less than the absolute value of the difference between the photovoltaic power generation prediction power at time t and the residential electricity consumption prediction power at time t, the absolute value of the difference between the photovoltaic power generation prediction power at time t and the residential electricity consumption prediction power at time t is used as the second energy storage power;

[0016] When the first energy storage power is greater than the photovoltaic power generation prediction power at time t, the photovoltaic power generation prediction power at time t is used as the second energy storage power.

[0017] In one embodiment, obtaining the target energy storage power according to the second energy storage power and the preset charge and discharge constraint condition includes:

[0018] When the second energy storage power satisfies the preset charge and discharge constraint condition, taking the second energy storage power as the target energy storage power;

[0019] When the second energy storage power does not satisfy the preset charge and discharge constraint condition, 0 or a preset maximum energy storage power is used as the target energy storage power.

[0020] In one embodiment, when the second energy storage power does not satisfy the preset charge and discharge constraint condition, using 0 or a preset maximum energy storage power as the target energy storage power includes:

[0021] When the second energy storage power is less than 0, 0 is used as the target energy storage power;

[0022] When the second energy storage power is greater than the preset maximum energy storage power, the maximum energy storage power is used as the target energy storage power.

[0023] In one embodiment, the target energy storage power includes a target energy storage discharge power and a target energy storage charging power; the predicted charge and discharge constraint condition includes a first charge constraint condition and a first discharge constraint condition; the supply and demand balance constraint condition includes a second charge constraint condition and a second discharge constraint condition; the preset charge and discharge constraint condition includes a third charge constraint condition and a third discharge constraint condition;

[0024] Obtaining the target energy storage power according to the predicted charge and discharge constraint condition, the supply and demand balance constraint condition, and the preset charge and discharge constraint condition in sequence includes:

[0025] Obtain the predicted voltage value at time t based on historical data, predicted photovoltaic power generation at time t, and predicted residential power consumption at time t;

[0026] When the predicted voltage value at time t is greater than or equal to the preset voltage regulation threshold at time t, the target energy storage charging power is acquired according to the first charging constraint condition, the second charging constraint condition, and the third charging constraint condition in sequence;

[0027] When the predicted voltage value at time t is less than the voltage regulation threshold at time t, the target energy storage discharge power is acquired according to the first discharge constraint condition, the second discharge constraint condition, and the third discharge constraint condition in sequence.

[0028] In one of the embodiments, the historical data includes historical photovoltaic power generation data, historical residential load data and historical node voltage boost data.

[0029] In a second aspect, the present application provides an energy storage management device, the energy storage management device comprising:

[0030] A constraint condition acquisition module is used to obtain respectively predicted charging and discharging constraint conditions, supply and demand balance constraint conditions and preset charging and discharging constraint conditions according to different charging strategies;

[0031] The energy storage management module is used to obtain the target energy storage power according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in sequence.

[0032] In a third aspect, the present application provides a photovoltaic system, comprising:

[0033] Photovoltaic subsystem, energy storage subsystem, load subsystem; and,

[0034] The main control subsystem is respectively connected to the photovoltaic power generation subsystem, the energy storage subsystem and the load subsystem for executing the energy storage management method as described above to adjust the target energy storage power of the energy storage subsystem.

[0035] The above-mentioned energy storage management method, energy storage management device and photovoltaic system include respectively predicting charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints according to different charging strategies; obtaining the target energy storage power according to the predicted charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints in turn. In the present application, the target energy storage power is obtained according to the predicted charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints in turn, and the target energy storage power can be obtained by considering the supply and demand, the charging and discharging capacity of the energy storage and the charging and discharging balance constraints preset by the management personnel based on the hardware conditions of the energy storage and the peak and valley electricity price strategy layer by layer, and the charging and discharging power of the energy storage can be accurately controlled to avoid the node voltage increase caused by the charging and discharging imbalance of the energy storage, which affects the safety of the transmission line and improves the safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 The following is a schematic diagram of the process of an energy storage management method in an embodiment;

[0038] Figure 2 One of the flowcharts of obtaining the target energy storage power according to the predicted charging and discharging constraint conditions, the supply and demand balance constraint conditions, and the preset charging and discharging constraint conditions in one embodiment;

[0039] Figure 3 The second flowchart of obtaining the target energy storage power according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in one embodiment;

[0040] Figure 4 is a structural block diagram of an energy storage management device in one embodiment;

[0041] Figure 5 is a structural block diagram of a photovoltaic system in one embodiment;

[0042] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] The energy storage management method in the present application is applied to the energy storage system, and the energy storage system includes a photovoltaic system and a power grid system. The power grid system is connected to the power cable of the photovoltaic system through the substation transformer. The photovoltaic system includes a photovoltaic power generation subsystem, an energy storage subsystem, a load subsystem, a communication management machine, a main control subsystem, a total power distribution box, and a gateway meter. The total power distribution box is connected to the power cable and is connected to the gateway meter through a voltage line. The gateway meter is connected to the meteorological station for communication. The main control subsystem is respectively connected to the photovoltaic power generation subsystem and the energy storage subsystem through the communication management machine. The photovoltaic power generation subsystem, the energy storage subsystem, and the load subsystem are also respectively connected to the power cable through a low-voltage line.

[0045] In one embodiment, see the attached Figure 1 , attached Figure 1 A schematic flow chart of an energy storage management method in an embodiment of the present application is shown. The energy storage management method includes the following steps S101 to S102.

[0046] Step S101, obtaining respectively predicted charging and discharging constraint conditions, supply and demand balance constraint conditions and preset charging and discharging constraint conditions according to different charging strategies.

[0047] The predicted charging and discharging constraint conditions can characterize the charging and discharging power conditions of the energy storage subsystem for predicting the voltage rise of the power grid system.

[0048] The supply-demand balance constraint can characterize the balance between the photovoltaic power generation of the photovoltaic subsystem and the residential power consumption in the load subsystem.

[0049] The preset charging and discharging constraints can represent the constraints set by managers on the charging and discharging of the energy storage subsystem based on the hardware conditions of the energy storage and the peak-valley electricity price strategy. For example, the preset charging and discharging constraints can be obtained by manually configuring the energy storage charging and discharging schedule through the system platform.

[0050] Step S102, obtaining the target energy storage power according to the predicted charging and discharging constraint conditions, the supply and demand balance constraint conditions, and the preset charging and discharging constraint conditions in sequence.

[0051] The target energy storage power is obtained in sequence according to the predicted charge and discharge constraint conditions, the supply and demand balance constraint conditions, and the preset charge and discharge constraint conditions. It means that the first energy storage power is first obtained through the predicted charge and discharge constraint conditions, the first energy storage power is constrained by the supply and demand balance constraint conditions to obtain the second energy storage power, and the second energy storage power is finally constrained by the preset charge and discharge constraint conditions to obtain the target energy storage power.

[0052] In this embodiment, the target energy storage power is obtained according to the predicted charging and discharging constraint conditions, the supply and demand balance constraint conditions, and the preset charging and discharging constraint conditions in sequence. The target energy storage power can be obtained by considering the supply and demand, the charging and discharging capacity of the energy storage, and the charging and discharging balance constraint conditions preset by the management personnel based on the hardware conditions of the energy storage and the peak and valley electricity price strategy layer by layer. The charging and discharging power of the energy storage can be accurately controlled to avoid the node voltage increase caused by the charging and discharging imbalance of the energy storage, which affects the safety of the transmission line and improves the safety of the power grid.

[0053] In one embodiment, see the attached Figure 2 , attached Figure 2 One of the process diagrams for obtaining the target energy storage power according to the predicted charging and discharging constraints, the supply and demand balance constraints, and the preset charging and discharging constraints is shown. The process for obtaining the target energy storage power according to the predicted charging and discharging constraints, the supply and demand balance constraints, and the preset charging and discharging constraints includes the following steps S201 to S203.

[0054] Step S201, obtaining a first energy storage power according to a predicted charging and discharging constraint condition.

[0055] Among them, the first energy storage power may include the first energy storage discharging power and the first energy storage charging power. The predicted charging and discharging constraint conditions may include the predicted charging constraint conditions and the predicted constrained discharging conditions. The first energy storage charging power may be obtained according to the predicted charging constraint conditions. The first energy storage discharging power may be obtained according to the first energy storage discharging condition.

[0056] Exemplarily, the predicted charging constraint condition may be: ; The predicted discharge constraint conditions can be: .in, is the first energy storage charging power, The first energy storage discharge power, △up is the preset proportional coefficient, U FC (t) is the predicted voltage value at time t, U TH is the voltage regulation threshold at time t.

[0057] Step S202: acquiring the second energy storage power according to the first energy storage power and the supply-demand balance constraint condition.

[0058] The supply and demand balance constraint condition includes the energy storage power supply constraint condition and the energy storage charging constraint condition. The second energy storage power includes the second energy storage charging power and the second energy storage discharging power. The second energy storage discharging power can be obtained according to the first energy storage power discharge rate and the energy storage power supply constraint condition. The second energy storage charging power can be obtained according to the first energy storage charging power and the energy storage charging constraint condition.

[0059] Exemplarily, the energy storage charging constraint condition may be: ; The energy storage power supply constraints can be: ; To determine whether the energy storage charging power at time t that satisfies the supply-demand balance constraint condition (for example, it may be the first energy storage charging power), To determine whether the energy storage discharge power at time t that satisfies the supply-demand balance constraint condition (for example, the first energy storage discharge power), is the photovoltaic power generation power of the photovoltaic subsystem at time t, is the residential power consumption in the load subsystem at time t.

[0060] Step S203, obtaining a target energy storage power according to the second energy storage power and preset charge and discharge constraint conditions.

[0061] The preset charge and discharge constraint conditions include preset charge constraint conditions and preset discharge constraint conditions. The target energy storage power includes target energy storage charging power and target energy storage discharging power. The target energy storage charging power can be obtained according to the second energy storage charging power and the preset charge constraint conditions. The target energy storage discharging power can be obtained according to the second energy storage discharging power and the preset discharge constraint.

[0062] Exemplarily, the preset charging constraint condition may be: ; The preset discharge constraint condition can be: ; To determine whether the energy storage charging power at time t meets the preset charging and discharging conditions, To determine whether the energy storage discharge power at time t meets the preset charging and discharging conditions, is the maximum energy storage charging power at time t, is the maximum power of energy storage discharge at time t.

[0063] In this embodiment, the first energy storage power is obtained according to the predicted charge and discharge constraint conditions, the second energy storage power is obtained according to the first energy storage power and the supply and demand balance constraint conditions, and the target energy storage power is obtained according to the second energy storage power and the preset charge and discharge constraint conditions. The energy storage subsystem can be controlled to charge and discharge more accurately to ensure power supply safety.

[0064] In one embodiment, in this embodiment, obtaining the second energy storage power according to the first energy storage power and the supply-demand balance constraint condition includes: when the first energy storage power satisfies the supply-demand balance constraint condition, using the first energy storage power as the second energy storage power. When the first energy storage power does not satisfy the supply-demand balance constraint condition, obtaining at least one of the photovoltaic power generation prediction power at time t and the residential power consumption prediction power at time t, and obtaining the second energy storage power according to the first energy storage power and at least one of the photovoltaic power generation prediction power at time t and the residential power consumption prediction power at time t.

[0065] For example, the photovoltaic power generation prediction power at time t can be obtained by using historical photovoltaic output data to approximate the photovoltaic output of the next day when there is no photovoltaic output prediction algorithm. Based on historical power generation data, meteorological data collected by meteorological instruments, and on-site photovoltaic installation capacity, the CNN+LSTM algorithm is used.

[0066] The predicted residential electricity consumption at time t can be obtained by using the historical data learning method, taking into account specific high-load scenarios such as weather, weekdays / holidays, and busy farming seasons / New Year in rural areas.

[0067] In this embodiment, when the first energy storage power meets the supply-demand balance constraint condition, the first energy storage power is used as the second energy storage power. When the first energy storage power does not meet the supply-demand balance constraint condition, at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t is obtained. The second energy storage power is obtained based on the first energy storage power and at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t. This can comprehensively consider the power supply capacity of the energy storage subsystem and avoid excessive output and energy waste while meeting the electricity demand.

[0068] In one embodiment, in this embodiment, when the first energy storage power does not meet the supply and demand balance constraint condition, obtaining the second energy storage power according to the first energy storage power and at least one of the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t includes: when the first energy storage power is less than the absolute value of the difference between the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t, the absolute value of the difference between the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t is used as the second energy storage power. When the first energy storage power is greater than the photovoltaic power generation forecast power at time t, the photovoltaic power generation forecast power at time t is used as the second energy storage power.

[0069] Exemplarily, the first energy storage power includes the first energy storage discharge power and the first energy storage charging power, and the second energy storage power includes the second energy storage charging power and the second energy storage discharge power. When the first energy storage power is less than the difference between the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t In the case of As the second energy storage charging power. When the first energy storage discharge power is less than the difference between the predicted residential power consumption at time t and the predicted photovoltaic power generation at time t, that is, In the case of As the second energy storage discharge power.

[0070] In this embodiment, it is possible to improve the accurate management of the energy storage system, provide safe power supply to the load, and avoid energy waste.

[0071] In one embodiment, the target energy storage power is obtained according to the second energy storage power and the preset charge and discharge constraint condition, including: when the second energy storage power meets the preset charge and discharge constraint condition, the second energy storage power is used as the target energy storage power. When the second energy storage power does not meet the preset charge and discharge constraint condition, 0 or a preset maximum energy storage power is used as the target energy storage power.

[0072] In this embodiment, when the second energy storage power meets the preset charge and discharge constraint conditions, the second energy storage power is used as the target energy storage power. When the second energy storage power does not meet the preset charge and discharge constraint conditions, 0 or the preset maximum energy storage power is used as the target energy storage power, which can ensure safe power supply to the load.

[0073] In one embodiment, when the second energy storage power does not meet the preset charge and discharge constraint condition, the process diagram of using 0 or the preset maximum energy storage power as the target energy storage power includes: when the second energy storage power is less than 0, using 0 as the target energy storage power. When the second energy storage power is greater than the preset maximum energy storage power, using the maximum energy storage power as the target energy storage power.

[0074] In this embodiment, when the second energy storage power is less than 0, 0 is used as the target energy storage power. When the second energy storage power is greater than the preset maximum energy storage power, the maximum energy storage power is used as the target energy storage power, which can avoid excessive energy storage work and cause safety hazards.

[0075] In one embodiment, the target energy storage power includes the target energy storage discharging power and the target energy storage charging power; the predicted charging and discharging constraints include the first charging constraint and the first discharging constraint; the supply and demand balance constraints include the second charging constraint and the second discharging constraint; the preset charging and discharging constraints include the third charging constraint and the third discharging constraint.

[0076] See attached Figure 3 , attached Figure 3 The second flow chart of obtaining the target energy storage power according to the predicted charge and discharge constraint conditions, the supply and demand balance constraint conditions, and the preset charge and discharge constraint conditions is shown. In this embodiment, obtaining the target energy storage power according to the predicted charge and discharge constraint conditions, the supply and demand balance constraint conditions, and the preset charge and discharge constraint conditions includes the following steps S301 to S3022.

[0077] Step S301, obtaining a predicted voltage value at time t based on historical data, predicted photovoltaic power generation at time t, and predicted residential power consumption at time t.

[0078] Exemplarily, the historical data may be historical photovoltaic power generation data, historical residential load data, and historical node voltage boost data.

[0079] By analyzing historical photovoltaic power generation data, historical resident load data, and combining historical node voltage boost data, the linear proportional relationship between node voltage and photovoltaic power generation under different resident load states is obtained. Exemplarily, the historical photovoltaic power generation data, historical resident load data, and historical node voltage boost data are sorted and preprocessed to remove outliers and noise. The resident load data is classified according to different states, divided into low load (resident load / transformer rating <50%), medium load (50%≤resident load / transformer rating <80%), and high load (resident load / transformer rating ≥80%). For each load state, the relationship between node voltage and photovoltaic power generation is analyzed separately, that is, the predicted voltage value at time t. Among them, the low load linear formula: the node voltage is U1, the photovoltaic power generation power is P, and the linear relationship formula is fitted by linear regression analysis method: U1 = △up1 P, where △up1 is the proportional coefficient. Medium load linear formula: The node voltage is U2, the photovoltaic power generation is P, and the linear regression analysis method is used to fit the linear relationship formula: U2=△up2P, where △up2 is the proportional coefficient. High load linear formula: The node voltage is U3, the photovoltaic power generation is P, and the linear regression analysis method is used to fit the linear relationship formula: U3=△up3P, where △up3 is the proportional coefficient.

[0080] Step S3021, when the predicted voltage value at time t is greater than or equal to the preset voltage regulation threshold at time t, the target energy storage charging power is obtained according to the first charging constraint condition, the second charging constraint condition, and the third charging constraint condition in sequence.

[0081] Among them, the target energy storage charging power is obtained according to the first charging constraint condition, the second charging constraint condition, and the third charging constraint condition in sequence, that is, the target energy storage charging power is obtained according to the energy storage management method in any of the above embodiments. It can be understood that each parameter and each constraint condition includes corresponding charging parameters, discharging parameters, charging constraint conditions, and discharging constraint conditions.

[0082] Step S3022: when the predicted voltage value at time t is less than the voltage regulation threshold at time t, the target energy storage discharge power is obtained according to the first discharge constraint condition, the second discharge constraint condition, and the third discharge constraint condition in sequence.

[0083] The target energy storage discharge power is obtained according to the first discharge constraint condition, the second discharge constraint condition, and the third discharge constraint condition in sequence, that is, the target energy storage discharge power is obtained according to the energy storage management method in any of the above embodiments.

[0084] In this embodiment, historical data, predicted photovoltaic power generation power at time t, and predicted residential electricity consumption power at time t are comprehensively considered, so that energy storage work can be controlled more accurately.

[0085] In one embodiment, the historical data includes historical photovoltaic power generation data, historical residential load data, and historical node voltage boost data.

[0086] In this embodiment, the historical data includes historical photovoltaic power generation data, historical residential load data and historical node voltage boost data, that is, the historical node voltage boost data is taken into account in the process of obtaining the target energy storage power, which can avoid photovoltaic power generation causing node voltage increase and affecting the safety of the transmission line.

[0087] In one embodiment, the energy storage management method in this embodiment includes: when the predicted voltage value at time t is greater than or equal to the voltage regulation threshold at time t, according to Obtain the first energy storage charging power; determine whether the first energy storage charging power meets ; If satisfied, the first energy storage charging power is used as the second energy storage charging power; if not satisfied, continue to judge whether the first energy storage charging power is less than the difference between the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t, that is ; If it is less than, the difference between the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t is used as the second energy storage charging power; if it is not less than, it is determined whether the first energy storage charging power is greater than the predicted photovoltaic power generation power at time t. If the first energy storage charging power is greater than the predicted photovoltaic power generation power at time t, the predicted photovoltaic power generation power at time t is used as the second energy storage charging power; it is determined whether the second energy storage charging power satisfies If satisfied, the second energy storage charging power is used as the target energy storage charging power; if not satisfied, continue to determine whether the second energy storage charging power is less than zero; if less than, 0 is used as the target energy storage charging power; if greater than the preset energy storage maximum power, the energy storage maximum power is used as the target energy storage charging power.

[0088] When the predicted voltage value at time t is less than the voltage regulation threshold at time t, Obtaining a first energy storage discharge power; If it is satisfied, the first energy storage discharge power is used as the second energy storage discharge power; if it is not satisfied, it is further determined whether the first energy storage discharge power is less than the difference between the predicted residential power consumption at time t and the predicted photovoltaic power generation at time t, that is, ; If less than, the difference between the predicted power of residential electricity consumption at time t and the predicted power of photovoltaic power generation at time t is used as the second energy storage discharge power; if not less than, determine whether the first energy storage discharge power is greater than the predicted power of residential electricity consumption at time t; if greater, use the predicted power of residential electricity consumption at time t as the second energy storage discharge power; determine whether the second energy storage discharge power satisfies ; If satisfied, the second energy storage discharge power is used as the target energy storage discharge power; if not satisfied, continue to determine whether the second energy storage discharge power is less than zero; if less than, 0 is used as the target energy storage discharge power; if greater than the preset energy storage discharge maximum power, the energy storage discharge maximum power is used as the target energy storage discharge power.

[0089] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0090] Based on the same inventive concept, the embodiment of the present application also provides an energy storage management device for implementing the energy storage management method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more energy storage management device embodiments provided below can refer to the limitations of the energy storage management method above, and will not be repeated here.

[0091] In an exemplary embodiment, Figure 4 As shown, an energy storage management device is provided, including: a constraint condition acquisition module 401 and an energy storage management module 402, wherein: the constraint condition acquisition module is used to obtain respectively predicted charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints according to different charging strategies; the energy storage management module is used to obtain the target energy storage power according to the predicted charging and discharging constraints, the supply and demand balance constraints and the preset charging and discharging constraints in sequence.

[0092] In one embodiment, the energy storage management module is also used to obtain a first energy storage power according to predicted charging and discharging constraints; obtain a second energy storage power according to the first energy storage power and supply and demand balance constraints; and obtain a target energy storage power according to the second energy storage power and preset charging and discharging constraints.

[0093] In one embodiment, the energy storage management module is also used to use the first energy storage power as the second energy storage power when the first energy storage power meets the supply and demand balance constraint condition; when the first energy storage power does not meet the supply and demand balance constraint condition, obtain at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t, and obtain the second energy storage power based on the first energy storage power and at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t.

[0094] In one embodiment, the energy storage management module is also used to use the absolute value of the difference between the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t as the second energy storage power when the first energy storage power is less than the absolute value of the difference between the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t; and use the predicted photovoltaic power generation power at time t as the second energy storage power when the first energy storage power is greater than the predicted photovoltaic power generation power at time t.

[0095] In one embodiment, the energy storage management module is also used to use the second energy storage power as the target energy storage power when the second energy storage power meets the preset charge and discharge constraint conditions; when the second energy storage power does not meet the preset charge and discharge constraint conditions, use 0 or the preset energy storage maximum power as the target energy storage power.

[0096] In one embodiment, the energy storage management module is further used to use 0 as the target energy storage power when the second energy storage power is less than 0; and use the maximum energy storage power as the target energy storage power when the second energy storage power is greater than the preset maximum energy storage power.

[0097] In one embodiment, the target energy storage power includes a target energy storage discharging power and a target energy storage charging power; the predicted charging and discharging constraint condition includes a first charging constraint condition and a first discharging constraint condition; the supply and demand balance constraint condition includes a second charging constraint condition and a second discharging constraint condition; the preset charging and discharging constraint condition includes a third charging constraint condition and a third discharging constraint condition; the energy storage management module is also used to obtain the target energy storage power according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in sequence, including: obtaining the predicted voltage value at time t according to historical data, the predicted photovoltaic power generation power at time t, and the predicted residential electricity consumption power at time t; when the predicted voltage value at time t is greater than or equal to the preset voltage regulation threshold at time t, the target energy storage charging power is obtained according to the first charging constraint condition, the second charging constraint condition, and the third charging constraint condition in sequence; when the predicted voltage value at time t is less than the voltage regulation threshold at time t, the target energy storage discharging power is obtained according to the first discharging constraint condition, the second discharging constraint condition, and the third discharging constraint condition in sequence.

[0098] Each module in the above energy storage management device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0099] In one embodiment, the present application also provides a photovoltaic system. Figure 5 The photovoltaic system 500 in this embodiment includes a photovoltaic power generation subsystem 510, an energy storage subsystem 520, a load subsystem 530, and a main control subsystem 540. The main control subsystem 540 is respectively connected to the photovoltaic power generation subsystem 510, the energy storage subsystem 520, and the load subsystem 530 for executing the energy storage management method in any of the above embodiments to adjust the target energy storage power of the energy storage subsystem 520.

[0100] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (Near Field Communication, NFC) or other technologies. When the computer program is executed by the processor, a method for energy storage management is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0101] Those skilled in the art will understand that Figure 6The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0102] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0103] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0104] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0105] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0106] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0107] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for energy storage management, characterized in that: The energy storage management method comprises: According to different charging strategies, the predicted charging and discharging constraints, supply and demand balance constraints and preset charging and discharging constraints are obtained respectively; The target energy storage power is obtained according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in sequence.

2. The energy storage management method according to claim 1, characterized in that: Obtaining the target energy storage power according to the predicted charge and discharge constraint condition, the supply and demand balance constraint condition, and the preset charge and discharge constraint condition in sequence includes: Acquire a first energy storage power according to the predicted charge and discharge constraint condition; Acquire a second energy storage power according to the first energy storage power and the supply-demand balance constraint condition; The target energy storage power is obtained according to the second energy storage power and the preset charge and discharge constraint condition.

3. The energy storage management method according to claim 2, characterized in that: The obtaining the second energy storage power according to the first energy storage power and the supply-demand balance constraint condition includes: In the case where the first energy storage power satisfies the supply-demand balance constraint condition, using the first energy storage power as the second energy storage power; When the first energy storage power does not meet the supply and demand balance constraint condition, at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t is obtained, and the second energy storage power is obtained based on the first energy storage power and at least one of the predicted photovoltaic power generation power at time t and the predicted residential electricity consumption power at time t.

4. The energy storage management method according to claim 3, characterized in that: The step of obtaining the second energy storage power according to the first energy storage power and at least one of the photovoltaic power generation forecast power at time t and the residential power consumption forecast power at time t when the first energy storage power does not satisfy the supply and demand balance constraint condition comprises: When the first energy storage power is less than the absolute value of the difference between the photovoltaic power generation prediction power at time t and the residential electricity consumption prediction power at time t, the absolute value of the difference between the photovoltaic power generation prediction power at time t and the residential electricity consumption prediction power at time t is used as the second energy storage power; When the first energy storage power is greater than the photovoltaic power generation prediction power at time t, the photovoltaic power generation prediction power at time t is used as the second energy storage power.

5. The energy storage management method according to claim 2, characterized in that: The obtaining the target energy storage power according to the second energy storage power and the preset charge and discharge constraint condition includes: When the second energy storage power satisfies the preset charge and discharge constraint condition, taking the second energy storage power as the target energy storage power; When the second energy storage power does not satisfy the preset charge and discharge constraint condition, 0 or a preset maximum energy storage power is used as the target energy storage power.

6. The energy storage management method according to claim 5, characterized in that: The method of using 0 or a preset maximum energy storage power as the target energy storage power when the second energy storage power does not satisfy the preset charge and discharge constraint condition comprises: When the second energy storage power is less than 0, 0 is used as the target energy storage power; When the second energy storage power is greater than the preset maximum energy storage power, the maximum energy storage power is used as the target energy storage power.

7. The energy storage management method according to any one of claims 1 to 6, characterized in that: The target energy storage power includes the target energy storage discharge power and the target energy storage charging power; the predicted charge and discharge constraint conditions include the first charge constraint condition and the first discharge constraint condition; the supply and demand balance constraint conditions include the second charge constraint condition and the second discharge constraint condition; the preset charge and discharge constraint conditions include the third charge constraint condition and the third discharge constraint condition; Obtaining the target energy storage power according to the predicted charge and discharge constraint condition, the supply and demand balance constraint condition, and the preset charge and discharge constraint condition in sequence includes: Obtain the predicted voltage value at time t based on historical data, predicted photovoltaic power generation at time t, and predicted residential power consumption at time t; When the predicted voltage value at time t is greater than or equal to the preset voltage regulation threshold at time t, the target energy storage charging power is acquired according to the first charging constraint condition, the second charging constraint condition, and the third charging constraint condition in sequence; When the predicted voltage value at time t is less than the voltage regulation threshold at time t, the target energy storage discharge power is acquired according to the first discharge constraint condition, the second discharge constraint condition, and the third discharge constraint condition in sequence.

8. The energy storage management method according to claim 7, characterized in that: The historical data includes historical photovoltaic power generation data, historical resident load data and historical node voltage boost data.

9. An energy storage management device, characterized in that: The energy storage management device comprises: A constraint condition acquisition module is used to obtain respectively predicted charging and discharging constraint conditions, supply and demand balance constraint conditions and preset charging and discharging constraint conditions according to different charging strategies; The energy storage management module is used to obtain the target energy storage power according to the predicted charging and discharging constraint condition, the supply and demand balance constraint condition, and the preset charging and discharging constraint condition in sequence.

10. A photovoltaic system, characterized in that: include: Photovoltaic subsystem, energy storage subsystem, load subsystem; and, The main control subsystem is respectively connected to the photovoltaic power generation subsystem, the energy storage subsystem and the load subsystem for executing the energy storage management method according to any one of claims 1 to 8 to adjust the target energy storage power of the energy storage subsystem.

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