A Method and Device for Energy Storage Management and Control of a Distributed Photovoltaic Power Generation System

Abstract

Embodiments of the present disclosure provide a method and device for energy storage control and management in a distributed photovoltaic power generation system. The method includes: obtaining historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and line carrying capacity; determining an irradiance curve based on the historical irradiance data, and determining a load curve based on the historical load data; determining a net load curve based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, reference temperature, and load curve; determining the minimum energy storage capacity under the actual photovoltaic installed capacity based on the net load curve and line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system. The technical solution of the embodiments of the present disclosure realizes determining the minimum energy storage capacity of the distributed photovoltaic power generation system according to historical data, and thus can install an energy storage device with a suitable energy storage capacity, avoiding the occurrence of a situation where energy cannot be stored, and improving the energy storage performance of the distributed photovoltaic power generation system.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of photovoltaic power generation, and in particular, to a method and device for energy storage control and management of a distributed photovoltaic power generation system. Background Art

[0002] After a user installs a distributed photovoltaic power generation system, surplus electricity will be stored using an energy storage device for subsequent user consumption or sold to the power grid. Currently, there is no standard requirement for the energy storage capacity of the energy storage device of a distributed photovoltaic power generation system. Generally, users install an energy storage device with a certain energy storage capacity based on experience.

[0003] The problem with the above method is that if a user installs an energy storage device with too small an energy storage capacity, it may lead to a situation where energy cannot be stored when the distributed photovoltaic power generation system generates too much electricity, reducing the energy storage performance of the distributed photovoltaic power generation system. Summary of the Invention

[0004] Embodiments of the present disclosure provide a method and device for energy storage control and management of a distributed photovoltaic power generation system, which determine the minimum energy storage capacity of the distributed photovoltaic power generation system, avoid the situation where energy cannot be stored due to too small an installed energy storage device capacity, and improve the energy storage performance of the distributed photovoltaic power generation system.

[0005] In a first aspect, embodiments of the present disclosure provide a method for energy storage control and management of a distributed photovoltaic power generation system, the method comprising:

[0006] Obtain historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system;

[0007] Based on the historical irradiance data, determine the irradiance curve corresponding to the distributed photovoltaic power generation system, and based on the historical load data, determine the load curve corresponding to the distributed photovoltaic power generation system;

[0008] Based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and the load curve, determine the net load curve corresponding to the distributed photovoltaic power generation system;

[0009] Based on the net load curve and the line carrying capacity, determine the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0010] Second aspect, an embodiment of the present invention further provides a distributed photovoltaic power generation system energy storage control device, which includes:

[0011] A data acquisition module, configured to acquire historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic working temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system;

[0012] A curve determination module, configured to determine an irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data;

[0013] A net load curve determination module, configured to determine a net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic working temperature, photovoltaic reference temperature, and the load curve;

[0014] An energy storage capacity determination module, configured to determine the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0015] Third aspect, an embodiment of the present invention further provides an electronic device, which includes:

[0016] One or more processors;

[0017] A storage device, configured to store one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the distributed photovoltaic power generation system energy storage control method according to any one of the embodiments of the present invention.

[0019] Fourth aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute the distributed photovoltaic power generation system energy storage control method according to any one of the embodiments of the present invention when executed by a computer processor.

[0020] In the technical solution of the embodiment of the present disclosure, historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and line carrying capacity between the distributed photovoltaic power generation system and the power grid are obtained. Based on the historical irradiance data, an irradiance curve corresponding to the distributed photovoltaic power generation system is determined, and based on the historical load data, a load curve corresponding to the distributed photovoltaic power generation system is determined. Based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, photovoltaic reference temperature, and load curve, a net load curve corresponding to the distributed photovoltaic power generation system is determined. Based on the net load curve and line carrying capacity, the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity can be accurately determined, so that a target energy storage device with a capacity greater than or equal to the minimum energy storage capacity is installed in the distributed photovoltaic power generation system. Furthermore, users can install an energy storage device with a suitable energy storage capacity, avoiding the situation where the installed energy storage device has too small a capacity to store energy, and improving the energy storage performance of the distributed photovoltaic power generation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In combination with the accompanying drawings and with reference to the following specific embodiments, the above and other features, advantages, and aspects of the embodiments of the present disclosure will become more obvious. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the original and elements are not necessarily drawn to scale.

[0022] Figure 1 is a flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present disclosure;

[0023] Figure 2 is a flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present disclosure;

[0024] Figure 3 is a flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present disclosure;

[0025] Figure 4 is a flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present disclosure;

[0026] Figure 5 is a structural diagram of a device for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present invention.

[0027] Figure 6 is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Instead, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not used to limit the protection scope of the present disclosure.

[0029] It should be understood that the steps recited in the method embodiments of the present disclosure can be executed in different orders and / or executed in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this regard.

[0030] As used herein, the term "comprising" and its variants are open-ended, i.e., "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0031] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0032] It can be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, usage scopes, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0033] For example, when receiving a user's active request, a prompt message is sent to the user to clearly prompt the user that the operation requested by the user will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, an application program, a server, or a storage medium that performs the operations of the technical solutions of the present disclosure according to the prompt message.

[0034] As an optional but non-limiting implementation manner, the manner of sending a prompt message to the user in response to receiving a user's active request may be, for example, in the form of a pop-up window, and the prompt message may be presented in text in the pop-up window. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0035] It should be understood that the above notification and the process of obtaining user authorization are only illustrative and do not limit the implementation manner of the present disclosure. Other manners that comply with relevant laws and regulations can also be applied to the implementation manner of the present disclosure.

[0036] It should be understood that the data involved in the present technical solution (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of the corresponding laws, regulations and related provisions.

[0037] Before introducing the technical solution provided by the embodiments of the present disclosure, an exemplary description of the application scenario can be given first.

[0038] The technical solution provided by the embodiments of the present disclosure can be applied to any scenario where it is necessary to determine the minimum energy storage capacity of the energy storage device of a distributed photovoltaic power generation system. Optionally, it can be a scenario where a certain user sets the minimum energy storage capacity for installing the energy storage device of the distributed photovoltaic power generation system.

[0039] The present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. In addition, it should be noted that for the convenience of description, only the parts related to the present invention rather than all the structures are shown in the drawings.

[0040] Figure 1 It is a schematic flowchart of a method for controlling and managing the energy storage of a distributed photovoltaic power generation system provided by the embodiments of the present disclosure. The embodiments of the present disclosure are applicable to the situation of determining the minimum energy storage capacity of the energy storage device of the distributed photovoltaic power generation system to install an energy storage device with a suitable energy storage capacity. This method can be executed by a device for controlling and managing the energy storage of the distributed photovoltaic power generation system. This device can be implemented in the form of software and / or hardware. The hardware can be an electronic device such as a server, and this electronic device can execute the method for controlling and managing the energy storage of the distributed photovoltaic power generation system provided by the present technical solution.

[0041] As Figure 1 shown, the method includes:

[0042] S110. Obtain the historical irradiance data, historical load data, actual installed photovoltaic capacity, photovoltaic working temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system.

[0043] Among them, the distributed photovoltaic power generation system is a power generation system that directly converts solar energy into electrical energy using photovoltaic modules and is connected to a power grid with a voltage level lower than 35 kV or lower. It has no energy storage function itself. For example, the distributed photovoltaic power generation system can be arranged in a park suitable for installing a photovoltaic array.

[0044] It should be noted that irradiance is the basic unit of radiation measurement, which reflects the radiation energy received per unit area over a period of time. In this embodiment, historical irradiance data refers to the radiation energy received by the distributed photovoltaic power generation system during a historical time period, usually expressed in watts.

[0045] Among them, historical load data refers to the records of power demand at a certain moment or during a period in the past during the operation of the power system or equipment. These data reflect the power consumption of users, etc. at specific time points.

[0046] Among them, the actual photovoltaic installed capacity refers to the total capacity of the photovoltaic power generation equipment actually installed in the distributed photovoltaic power generation system. It represents the maximum power output capacity that the distributed photovoltaic power generation system can generate. The actual photovoltaic installed capacity is a parameter describing the scale of a distributed photovoltaic power generation system.

[0047] It should be noted that the photovoltaic operating temperature refers to the temperature reached by the distributed photovoltaic power generation system during actual operation. In this embodiment, the annual average temperature at the installation location of the distributed photovoltaic power generation system can be used as the photovoltaic operating temperature.

[0048] Among them, the line carrying capacity between the distributed photovoltaic power generation system and the power grid refers to the maximum photovoltaic power generation capacity that the power grid can carry during the process of connecting the distributed photovoltaic power generation system to the power grid. Specifically, the line carrying capacity between the distributed photovoltaic power generation system and the power grid refers to the maximum power generation capacity of the distributed photovoltaic power generation system that the power grid can accept on the premise of ensuring the safe operation of the power grid equipment, avoiding damage due to overload, short-circuit current, voltage fluctuation and power quality problems.

[0049] Specifically, obtain the historical irradiance data and historical load data actually generated by the distributed photovoltaic power generation system during the historical time period before the current moment. At the same time, obtain the actual photovoltaic installed capacity, photovoltaic operating temperature of the distributed photovoltaic power generation system, and the line carrying capacity data between the distributed photovoltaic power generation system and the power grid for the next step of analysis and processing.

[0050] S120. Determine the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data.

[0051] Among them, the irradiance curve corresponding to the distributed photovoltaic power generation system characterizes the change of solar radiation intensity over time. The irradiance curve corresponding to the distributed photovoltaic power generation system usually shows obvious intra-day and seasonal variation patterns. In addition, the irradiance curve is also affected by geographical location and weather conditions, and the irradiance curves under different geographical locations and weather conditions will be different. The ordinate of the irradiance curve represents irradiance, and the abscissa represents the corresponding time.

[0052] Among them, the load curve corresponding to the distributed photovoltaic power generation system characterizes the change of electric load over time. The load curve reflects the characteristics and patterns of user electricity consumption. The ordinate of the load curve represents load, and the abscissa represents the corresponding time.

[0053] Specifically, for each distributed photovoltaic power generation system, the irradiance curve corresponding to the distributed photovoltaic power generation system is determined based on the irradiance data within the historical duration, and the load curve corresponding to the distributed photovoltaic power generation system is determined based on the load data within the historical duration.

[0054] In the embodiments of the present disclosure, step S120 may include: based on the historical irradiance data, determining a set of historical irradiances corresponding to each preset time period in each historical day; based on the set of historical irradiances, determining the maximum historical irradiance corresponding to each preset time period, and generating the irradiance curve corresponding to the distributed photovoltaic power generation system based on the maximum historical irradiances corresponding to all the preset time periods; based on the historical load data, determining a set of historical loads corresponding to each preset time period in each historical day; based on the set of historical loads, determining the average historical load corresponding to each preset time period, and generating the load curve corresponding to the distributed photovoltaic power generation system based on the average historical loads corresponding to all the preset time periods.

[0055] Among them, the preset time period is a plurality of time periods obtained by dividing 24 hours of each day based on a preset duration. For example, when the preset duration is 15 minutes, a time period is divided every 15 minutes in a day, so that 96 time periods can be obtained. At this time, the first preset time period is from 0:00 to 0:15, and the 96th preset time period is from 23:45 to 24:00.

[0056] It should be noted that the irradiance curve corresponding to the distributed photovoltaic power generation system is determined based on historical irradiance data. First, determine the historical duration. For example, the historical duration can be the past one year. Then, for each of the 24 hours of each day within the historical duration, determine the historical irradiance set corresponding to each preset time period. The historical irradiance set contains the historical irradiance data corresponding to each preset time period. For example, when the preset duration is 15 minutes, that is, for each day within the historical duration, a historical irradiance set containing 96 historical irradiance data can be obtained. For a certain day within the historical duration, the radiation energy received within the first preset time period from 0:00 to 0:15 is used as the first historical irradiance data in the historical irradiance set, and the radiation energy received within the ninety-sixth preset time period from 23:45 to 24:00 is used as the ninety-sixth historical irradiance data in the historical irradiance set. At this time, obtain the maximum historical irradiance corresponding to each preset time period within the historical duration. Finally, with time as the horizontal axis and the maximum value of the maximum historical irradiance data corresponding to each preset time period as the vertical axis, the irradiance curve corresponding to the distributed photovoltaic power generation system is obtained.

[0057] It should be noted that the load curve is determined based on historical load data. The method for determining the historical load set corresponding to each preset time period in each day of history is the same as the method for determining the above-mentioned historical irradiance set. For each day within the historical duration, after obtaining a historical load set containing 96 historical load data, calculate the average value of all historical load data corresponding to each preset time period within the historical duration, that is, determine the average historical load corresponding to each preset time period. Finally, with time as the horizontal axis and the average historical load data corresponding to each preset time period as the vertical axis, the load curve corresponding to the distributed photovoltaic power generation system is obtained.

[0058] S130. Determine the net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic working temperature, photovoltaic reference temperature, and load curve.

[0059] Among them, the standard irradiance refers to the solar radiation energy received per unit area on the earth's surface under standard conditions. The magnitude of the standard irradiance is affected by various factors. For example, the standard irradiance can be 1367 watts per square meter. The photovoltaic reference temperature usually refers to the temperature of the photovoltaic cell under standard test conditions and can be 25 °C. The photovoltaic reference temperature is one of the standard conditions for photovoltaic cell performance testing and is used to ensure the accuracy and comparability of test results.

[0060] It should be noted that the net load curve reflects the change of the actual consumption load. The ordinate of the net load curve represents the net load, and the abscissa represents the corresponding time.

[0061] Specifically, by analyzing based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, photovoltaic reference temperature, and load curve, the corresponding net load curve of the distributed photovoltaic power generation system can be accurately determined.

[0062] In an embodiment of the present disclosure, step S130 may include: determining the photovoltaic power curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, photovoltaic reference temperature, and power temperature coefficient; determining the net load curve corresponding to the distributed photovoltaic power generation system based on the load curve and the photovoltaic power curve. Wherein, the power temperature coefficient refers to the change rate of current, voltage, or maximum power of a photovoltaic cell at different temperatures, and the power temperature coefficient can take a value of 0.0036 / °C.

[0063] It should be noted that the photovoltaic power curve refers to the relationship curve between the DC power output by a photovoltaic module and voltage under different irradiance conditions. The photovoltaic power curve corresponding to the distributed photovoltaic power generation system includes the photovoltaic power corresponding to each preset time period in a day. The ordinate of the photovoltaic power curve corresponding to the distributed photovoltaic power generation system represents the photovoltaic power, and the abscissa represents the corresponding time.

[0064] Specifically, by obtaining the load curve and the photovoltaic power curve corresponding to the distributed photovoltaic power generation system in the same preset time period, and subtracting the photovoltaic power curve from the load curve, the net load curve corresponding to the distributed photovoltaic power generation system can be obtained. The net load curve is:

[0065] ;

[0066] Wherein, is the load curve corresponding to the preset time period and is the net load curve corresponding to the preset time period

[0067] Optionally, the photovoltaic power curve corresponding to the distributed photovoltaic power generation system includes the photovoltaic power corresponding to each preset time period in a day; the photovoltaic power corresponding to each preset time period in a day is determined based on the following formula:

[0068] ;

[0069] Wherein, is the photovoltaic power corresponding to the preset time period ; is the actual photovoltaic installed capacity; is the target irradiance corresponding to the preset time period determined based on the irradiance curve; ​is the standard irradiance; is the photovoltaic operating temperature; is the photovoltaic reference temperature; is the power temperature coefficient.

[0070] Specifically, for a distributed photovoltaic power generation system with an actual photovoltaic installed capacity of , for each preset time period, the photovoltaic power corresponding to each preset time period can be obtained according to the formula. After obtaining the photovoltaic power corresponding to each preset time period, with time as the horizontal axis and the photovoltaic power corresponding to each preset time period as the vertical axis, the photovoltaic power curve corresponding to the distributed photovoltaic power generation system can be obtained.

[0071] S140. Based on the net load curve and line carrying capacity, determine the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0072] Among them, the energy storage device mainly includes an energy storage battery and a battery management system. The energy storage battery usually includes lithium batteries, lead-acid batteries, sodium-sulfur batteries, etc., and is used to store electric energy. The battery management system is responsible for monitoring and managing the charging and discharging process of the battery to ensure its safe and efficient operation. The energy storage capacity represents the capacity of the energy storage battery.

[0073] In the embodiment of the present disclosure, step S140 may include: determining the maximum net load based on the net load curve; determining the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the maximum net load and the line carrying capacity.

[0074] Among them, the maximum net load represents the maximum value of the net load corresponding to the preset time period in the net load curve. The difference obtained by subtracting the line carrying capacity from the absolute value of the maximum net load is the minimum energy storage capacity .

[0075] It should be noted that if the minimum energy storage capacity is less than 0, it is determined that no energy storage device needs to be installed. At this time, the minimum energy storage capacity can be determined to be 0, and the user is reminded that there is no remaining energy and no energy storage device needs to be installed.

[0076] Specifically, the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity is determined by subtracting the line carrying capacity from the absolute value of the maximum net load. It shows that when the stored power or the discharged power of the distributed photovoltaic power generation system is the largest, the absolute value of the maximum net load is greater than the line carrying capacity, and then the target energy storage device is installed, and at this time, the actual energy storage capacity of the installed target energy storage device only needs to satisfy not less than the minimum energy storage capacity.

[0077] In the technical solution of the embodiment of the present disclosure, historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and line carrying capacity between the distributed photovoltaic power generation system and the power grid are obtained. An irradiance curve corresponding to the distributed photovoltaic power generation system is determined based on the historical irradiance data, and a load curve corresponding to the distributed photovoltaic power generation system is determined based on the historical load data. Based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, photovoltaic reference temperature, and load curve, a net load curve corresponding to the distributed photovoltaic power generation system is determined. Based on the net load curve and the line carrying capacity, the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity can be accurately determined, so that a target energy storage device with a capacity greater than or equal to the minimum energy storage capacity is installed in the distributed photovoltaic power generation system. Furthermore, users can install an energy storage device with an appropriate energy storage capacity, avoiding the situation where the installed capacity of the energy storage device is too small to store energy, and improving the energy storage performance of the distributed photovoltaic power generation system.

[0078] Figure 2 It is a schematic flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present invention. On the basis of the above embodiments, after installing a target energy storage device in the distributed photovoltaic power generation system, the control process of the energy storage operation of the target energy storage device is described in detail. Among them, the same or corresponding technical terms as those in the above embodiments will not be repeated here.

[0079] As Figure 2 shown, the method specifically includes the following steps:

[0080] S210. Obtain historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and line carrying capacity between the distributed photovoltaic power generation system and the power grid.

[0081] S220. Determine an irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data.

[0082] S230. Determine a net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and the load curve.

[0083] S240. Determine the minimum energy storage capacity of the distributed photovoltaic power generation system board under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0084] S250. Obtain the target photovoltaic output, target load, target energy storage operation cost, and target grid unit value in the target time period of the distributed photovoltaic power generation system.

[0085] It should be noted that if the user has installed a distributed photovoltaic power generation system with an actual photovoltaic installed capacity of at this time, and the user has installed a target energy storage device with an actual energy storage capacity of at this time. Among them, the photovoltaic output is the above-mentioned photovoltaic power. The target photovoltaic output is the photovoltaic power value in the target time period and is represented by . The target load is the load value in the target time period and is represented by . The target energy storage operation cost is the operation depreciation cost of the energy storage in the target time period and is a fixed value set within the power grid, represented by . The target grid unit value is the grid unit electricity price in the target time period and is represented by .

[0086] S260. Taking the energy storage output of the target energy storage device as a variable, construct a target revenue function and target constraint conditions based on the target photovoltaic output, target load, target energy storage operation cost, and target grid unit value.

[0087] Among them, the energy storage output is the electrical energy output value of the target energy storage device in the target time period and is represented by . Greater than 0 indicates energy storage discharging, less than 0 indicates energy storage charging.

[0088] It should be noted that the target constraint conditions include: line carrying capacity constraint conditions, power smoothness constraint conditions, and energy storage operation constraint conditions.

[0089] Specifically, with the target constraint conditions as constraints, the energy storage output in the target time period when the target revenue function is maximized can be calculated.

[0090] In the embodiments of the present disclosure, the target constraint conditions may include: line carrying capacity constraint conditions, power smoothness constraint conditions, and energy storage operation constraint conditions.

[0091] The line carrying capacity constraint means that the absolute value of the target power corresponding to the target time period is less than or equal to the line carrying capacity, where the target power is determined based on the energy storage output of the target energy storage device, the target PV output, and the target load.

[0092] Specifically, the target power is , that is, during the target time period the energy storage output of the target energy storage device plus the target PV output minus the target load. The line carrying capacity is represented by . This line carrying capacity constraint is:

[0093] ;

[0094] The power stability constraint means that the absolute value of the power difference between the target power corresponding to the target time period and the previous power corresponding to the previous time period is less than or equal to the preset power fluctuation value.

[0095] Specifically, the target power corresponding to the target time period is:

[0096] ;

[0097] The previous power corresponding to the previous time period is:

[0098] ;

[0099] The preset power fluctuation value is represented by . This line carrying capacity constraint is:

[0100] .

[0101] The energy storage operation constraint means that the absolute value of the energy storage output of the target energy storage device is less than or equal to the actual energy storage capacity of the target energy storage device, and the state of charge of the energy storage during the target time period is within the preset state of charge range.

[0102] Among them, the state of charge of the energy storage represents the existing electricity of the energy storage device at the target time. The range value of the energy storage capacity of the energy storage device within the lower limit and the upper limit is the preset state of charge. For example, five percent of the energy storage capacity of the energy storage device is the lower limit of the state of charge of the energy storage, and ninety-five percent of the energy storage capacity of the energy storage device is the upper limit of the state of charge of the energy storage. The state of charge of the energy storage during the target time period is represented by , the lower limit of the state of charge of the energy storage is represented by , and the upper limit of the state of charge of the energy storage is represented by .

[0103] Specifically, the energy storage operation constraint is:

[0104] , 。

[0105] S270. Maximize the target benefit function based on the target constraint conditions to obtain the target energy storage output of the target energy storage device within the target time period, so as to control the energy storage operation of the target energy storage device based on the target energy storage output.

[0106] Among them, the target PV output within the target time period is , the target load is , the target energy storage operation cost is and the target grid unit value is , the target energy storage output is , and the target benefit function is:

[0107] 。

[0108] Specifically, based on the target constraint conditions including line carrying capacity constraint conditions, power stability constraint conditions, and energy storage operation constraint conditions, maximize the target benefit function to obtain the target energy storage output of the target energy storage device within the target time period, and then control the energy storage operation of the target energy storage device based on the target energy storage output. For example, after obtaining the target energy storage output of the target energy storage device within the target time period, it can be set as the energy storage output value of the target energy storage device in the next target time period, so that the user can obtain greater benefits when using the energy storage device corresponding to the distributed PV power generation system in the next target time period.

[0109] In the technical solution of the embodiments of the present disclosure, after installing the target energy storage device in the distributed PV power generation system, obtain the target PV output, target load, target energy storage operation cost, and target grid unit value of the distributed PV power generation system within the target time period, and use the energy storage output of the target energy storage device as a variable to construct a target benefit function and target constraint conditions based on the target PV output, target load, target energy storage operation cost, and target grid unit value. Maximize the target benefit function based on the target constraint conditions to obtain the target energy storage output of the target energy storage device within the target time period, so as to control the energy storage operation of the target energy storage device based on the target energy storage output. The advantage of controlling the energy storage operation of the target energy storage device in the above manner is that it can maximize the target benefit of the target user while the distributed PV power generation system and the energy storage device meet the line carrying capacity constraint conditions, power stability constraint conditions, and energy storage operation constraint conditions, and can improve the rationality and high profitability of energy storage operation.

[0110] Figure 3It is a schematic flowchart of a method for energy storage control and management in a distributed photovoltaic power generation system provided by an embodiment of the present invention. On the basis of the above embodiments, after installing a target energy storage device in the distributed photovoltaic power generation system, the operations of the power grid when the power fluctuation value is greater than the preset power fluctuation value are described in detail. Among them, the same or corresponding technical terms as those in the above embodiments will not be elaborated here.

[0111] As Figure 3 shown, the method specifically includes the following steps:

[0112] S310. Obtain the historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system.

[0113] S320. Determine the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data.

[0114] S330. Determine the net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, the standard irradiance, the photovoltaic operating temperature, the photovoltaic reference temperature, and the load curve.

[0115] S340. Determine the minimum energy storage capacity of the distributed photovoltaic power generation system board under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0116] S350. Determine the current power corresponding to the current time period based on the current photovoltaic output, the current energy storage output, and the current load in the distributed photovoltaic power generation system during the current time period.

[0117] Among them, the current time period refers to the current preset time period, denoted by ; the current photovoltaic output refers to the photovoltaic power value during the current time period, denoted by ; the current energy storage output refers to the electrical energy output value during the current time period, denoted by ; the current load refers to the load value during the current time period, denoted by ; the current power refers to the current energy storage output of the energy storage device plus the current photovoltaic output minus the current load during the current time period. The calculation formula for the current power is:

[0118] ​​​ .

[0119] S360. Determine the current power fluctuation value based on the current power corresponding to the current time period and the previous power corresponding to the previous time period.

[0120] It should be noted that the previous time period refers to the previous preset time period of the current preset time period, denoted by ; the previous power refers to the previous energy storage output of the energy storage device in the previous time period plus the previous photovoltaic output minus the previous load. The calculation formula for the previous power is: .

[0121] .

[0122] S370. If the current power fluctuation value is greater than the preset power fluctuation value, determine the current additional cost based on the current power fluctuation value, generate a cost prompt message based on the current additional cost, and send the cost prompt message to the user terminal.

[0123] Among them, the current power fluctuation value is equal to the current power minus the previous power, denoted by , and the formula is:

[0124] = ;

[0125] Specifically, when there is a situation where the power fluctuation value ( ) in the target time period is greater than the preset power fluctuation value ( ), for the power fluctuation time period where the power fluctuation value is greater than the preset power fluctuation value, determine the current additional cost, that is , The calculation formula for is:

[0126] = ;

[0127] Among them, is the electricity quantity fluctuation electricity price coefficient set for the power grid, represents the power fluctuation time when the power fluctuation value is greater than the preset power fluctuation value. And generate a cost prompt message based on the current additional cost, and send the cost prompt message to the user terminal.

[0128] The technical solution of the embodiment of the present disclosure, after installing the target energy storage device in the distributed photovoltaic power generation system, determines the current power corresponding to the current time period based on the current photovoltaic output, the current energy storage output, and the current load in the distributed photovoltaic power generation system during the current time period. Based on the current power corresponding to the current time period and the previous power corresponding to the previous time period, the current power fluctuation value is determined. If the current power fluctuation value is greater than the preset power fluctuation value, the current additional cost is determined based on the current power fluctuation value, and a cost prompt message is generated based on the current additional cost and sent to the user terminal. The advantage of the above method is that it enables the user terminal of the installed energy storage device to reduce the power fluctuation value, thereby reducing the problems of voltage instability, damage to the distributed photovoltaic power generation system, and deterioration of power supply quality caused by excessive power fluctuation values, and improving the stability of the power fluctuation value.

[0129] Figure 4 FIG. 4 is a schematic flowchart of a method for controlling energy storage in a distributed photovoltaic power generation system provided by an embodiment of the present invention. Based on the above embodiments, after installing the target energy storage device in the distributed photovoltaic power generation system, the processing process when the current power is greater than the line carrying capacity or the current node voltage offset is greater than the preset offset is described in detail. Among them, the same or corresponding technical terms as those in the above embodiments are not described herein again.

[0130] As Figure 4 shown, the method specifically includes the following steps:

[0131] S410. Obtain historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic working temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system.

[0132] S420. Determine the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data.

[0133] S430. Determine the net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, the standard irradiance, the photovoltaic working temperature, the photovoltaic reference temperature, and the load curve.

[0134] S440. Determine the minimum energy storage capacity of the distributed photovoltaic power generation system board under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0135] S450. Determine the current power corresponding to the current time period based on the current photovoltaic output, current energy storage output, and current load of the distributed photovoltaic power generation system during the current time period.

[0136] S460. Determine the current node voltage offset based on the current node voltage and rated voltage of the distributed photovoltaic power generation system during the current time period.

[0137] Wherein, the current node voltage is the node voltage value of the user side accessing the power grid at the current moment, represented by The rated voltage is the rated voltage value of the user side access point, represented by The current node voltage offset is , and its formula is:

[0138] = .

[0139] S470. If the current power corresponding to the current time period is greater than the line carrying capacity, or the current node voltage offset is greater than the preset offset, send an alarm message to the user terminal.

[0140] Specifically, when the current power corresponding to the current time period is greater than the line carrying capacity, or when the current node voltage offset is greater than the preset offset, the user terminal will receive an alarm message sent by the power grid. In the technical solution of the embodiment of the present disclosure, after installing the target energy storage device in the distributed photovoltaic power generation system, based on the current photovoltaic output, current energy storage output, and current load of the distributed photovoltaic power generation system during the current time period, determine the current power corresponding to the current time period, based on the current node voltage and rated voltage of the distributed photovoltaic power generation system during the current time period, determine the current node voltage offset, if it does not meet at least one of the conditions that the current power corresponding to the current time period is greater than the line carrying capacity, or the current node voltage offset is greater than the preset offset, the power grid can send an alarm message to the user terminal. The advantage of the above method is that it enables the user terminal with the installed energy storage device to better keep the current power within the line carrying capacity range, and also enables the user terminal with the installed energy storage device to better keep the current node voltage offset within the preset offset, improving the safety of the line and electrical equipment.

[0141] On the basis of the above technical solutions, calculate the economic indicators of the distributed photovoltaic power generation system based on the operation data within the cycle to realize the evaluation of the overall economic performance.

[0142] Since the economic evaluation of the distributed photovoltaic power generation system uses the net present value, an evaluation index in financial management, to evaluate the economy of the distributed photovoltaic power generation system. The indicators include. Net present value: Since the operation life of the distributed photovoltaic power generation system is relatively long, in order to reasonably analyze the project investment benefit situation, it is necessary to calculate the annual income With annual expenditure Discount it according to the industry benchmark rate of return. On this basis, calculate the difference between the discounted annual income and annual expenditure to obtain the annual net present value. The sum of the annual net present values within the project construction and operation period is the total net present value of the project, i.e., NPV. The calculation formula for the NPV evaluation index is:

[0143] ;

[0144] In the formula, is the annual cash inflow; is the annual cash outflow; (net income) refers to the net cash flow in the t-th year. The year of capital investment is the 0-th year, i.e., t = 0; k is the discount rate. When , it means the project is feasible. When , it means the project is not feasible.

[0145] Based on the above technical solutions, and based on the operation data within the cycle, evaluate the economy of the distributed photovoltaic power generation system within the cycle. By calculating the indicators of the economy of the distributed photovoltaic power generation system, realize the evaluation of the overall economic performance, achieve an overall description of the economic effect, and then determine the feasibility of the project.

[0146] Figure 5 is a schematic structural diagram of a distributed photovoltaic power generation system energy storage control device provided by an embodiment of the present disclosure. As Figure 5 shown, the device includes: a data acquisition module 510, a curve determination module 520, a net load curve determination module 530, and an energy storage capacity determination module 540.

[0147] The data acquisition module 510 is used to acquire the historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system; the curve determination module 520 is used to determine the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data; the net load curve determination module 530 is used to determine the net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, the standard irradiance, the photovoltaic operating temperature, the photovoltaic reference temperature, and the load curve; the energy storage capacity determination module 540 is used to determine the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, where the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0148] In the technical solution of the embodiment of the present disclosure, historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and line carrying capacity between the distributed photovoltaic power generation system and the power grid are obtained. Based on the historical irradiance data, an irradiance curve corresponding to the distributed photovoltaic power generation system is determined, and based on the historical load data, a load curve corresponding to the distributed photovoltaic power generation system is determined. Based on the actual photovoltaic installed capacity, irradiance curve, standard irradiance, photovoltaic operating temperature, photovoltaic reference temperature, and load curve, a net load curve corresponding to the distributed photovoltaic power generation system is determined. Based on the net load curve and line carrying capacity, the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity can be accurately determined, so that a target energy storage device with a capacity greater than or equal to the minimum energy storage capacity is installed in the distributed photovoltaic power generation system. Furthermore, users can install an energy storage device with a suitable energy storage capacity, avoiding the situation where the installed energy storage device has too small a capacity to store energy, and improving the energy storage performance of the distributed photovoltaic power generation system.

[0149] Based on the above technical solutions, the curve determination module 520 includes:

[0150] A historical irradiance set determination sub-module, configured to determine a historical irradiance set corresponding to each preset time period in a historical day based on the historical irradiance data;

[0151] An irradiance curve determination sub-module, configured to determine the maximum historical irradiance corresponding to each preset time period based on the historical irradiance set, and generate an irradiance curve corresponding to the distributed photovoltaic power generation system based on the maximum historical irradiance corresponding to all preset time periods;

[0152] A historical load set determination sub-module, configured to determine a historical load set corresponding to each preset time period in a historical day based on the historical load data;

[0153] A load curve determination sub-module, configured to determine the average historical load corresponding to each preset time period based on the historical load set, and generate a load curve corresponding to the distributed photovoltaic power generation system based on the average historical load corresponding to all preset time periods.

[0154] Based on the above technical solutions, the net load curve determination module 530 includes:

[0155] A photovoltaic power curve determination sub-module, configured to determine a photovoltaic power curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and power temperature coefficient;

[0156] A net load curve determination sub-module, configured to determine a net load curve corresponding to the distributed photovoltaic power generation system based on the load curve and the photovoltaic power curve.

[0157] Based on the above technical solutions, the photovoltaic power curve corresponding to the distributed photovoltaic power generation system includes the photovoltaic power corresponding to each preset time period in a day.

[0158] The net load curve determination sub-module is specifically configured to: determine the photovoltaic power corresponding to each preset time period in a day based on the following formula:

[0159] ;

[0160] Where is the photovoltaic power corresponding to the preset time period ; is the actual photovoltaic installed capacity; is the target irradiance corresponding to the preset time period determined based on the irradiance curve ; is the standard irradiance; is the photovoltaic operating temperature; is the photovoltaic reference temperature; is the power temperature coefficient.

[0161] Based on the above technical solutions, the energy storage capacity determination module 540 includes:

[0162] A maximum net load determination sub-module, configured to determine a maximum net load based on the net load curve;

[0163] A minimum energy storage capacity determination sub-module, configured to determine a minimum energy storage capacity of the distributed photovoltaic power generation system board under the actual photovoltaic installed capacity based on the maximum net load and the line carrying capacity.

[0164] Based on the above technical solutions, the device further includes:

[0165] A data acquisition module, configured to acquire the target photovoltaic output, target load, target energy storage operation cost, and target grid unit value of the distributed photovoltaic power generation system within a target time period;

[0166] A target revenue function construction module, configured to construct a target revenue function and target constraint conditions with the energy storage output of the target energy storage device as a variable based on the target photovoltaic output, the target load, the target energy storage operation cost, and the target grid unit value.

[0167] The energy storage operation control module is used to maximize the target benefit function based on the target constraint conditions, obtain the target energy storage output of the target energy storage device within the target time period, and control the energy storage operation of the target energy storage device based on the target energy storage output.

[0168] Based on the above technical solutions, the target constraint conditions include: line carrying capacity constraint conditions, power stability constraint conditions, and energy storage operation constraint conditions;

[0169] Among them, the line carrying capacity constraint condition means that the absolute value of the target power corresponding to the target time period is less than or equal to the line carrying capacity, where the target power is determined based on the energy storage output of the target energy storage device, the target photovoltaic output, and the target load;

[0170] The power stability constraint condition means that the absolute value of the power difference between the target power corresponding to the target time period and the previous power corresponding to the previous time period is less than or equal to the preset power fluctuation value;

[0171] The energy storage operation constraint condition means that the absolute value of the energy storage output of the target energy storage device is less than or equal to the actual energy storage capacity of the target energy storage device, and the state of charge of the energy storage within the target time period is within the preset state of charge range.

[0172] Based on the above technical solutions, the device further includes:

[0173] The current power determination module is used to determine the current power corresponding to the current time period based on the current photovoltaic output, the current energy storage output, and the current load of the distributed photovoltaic power generation system within the current time period;

[0174] The current power fluctuation value determination module is used to determine the current power fluctuation value based on the current power corresponding to the current time period and the previous power corresponding to the previous time period;

[0175] The cost prompt information sending module is used to, if the current power fluctuation value is greater than the preset power fluctuation value, determine the current additional cost based on the current power fluctuation value, generate cost prompt information based on the current additional cost, and send the cost prompt information to the user terminal.

[0176] Based on the above technical solutions, the device further includes:

[0177] The current power determination module is used to determine the current power corresponding to the current time period based on the current photovoltaic output, the current energy storage output, and the current load of the distributed photovoltaic power generation system within the current time period;

[0178] A node voltage offset confirmation module, configured to determine a current node voltage offset based on a current node voltage and a rated voltage of the distributed photovoltaic power generation system during a current time period;

[0179] An alarm information sending module, configured to send alarm information to a user terminal if a current power corresponding to the current time period is greater than a line carrying capacity, or if the current node voltage offset is greater than a preset offset.

[0180] The energy storage control device of the distributed photovoltaic power generation system provided by the embodiments of the present disclosure can execute the energy storage control method of the distributed photovoltaic power generation system provided by any embodiment of the present disclosure, and has function modules and beneficial effects corresponding to the execution of the method.

[0181] It should be noted that the various units and modules included in the above device are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the embodiments of the present disclosure.

[0182] Figure 6 is a schematic structural diagram of an electronic device provided by the embodiments of the present disclosure. The following refers to Figure 6 , which shows a schematic structural diagram of an electronic device 500 suitable for implementing the embodiments of the present disclosure (such as Figure 6 in the terminal device or server). The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and usage scope of the embodiments of the present disclosure.

[0183] As Figure 6 shown, the electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An editing / output (I / O) interface 505 is also connected to the bus 504.

[0184] Typically, the following devices can be connected to the I / O interface 505: input devices 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 508 including, for example, magnetic tapes, hard disks, etc.; and a communication device 509. The communication device 509 can allow the electronic device 500 to communicate with other devices wirelessly or wiredly to exchange data. Although Figure 6 the electronic device 500 with various devices is shown, it should be understood that it is not required to implement or have all the shown devices. More or fewer devices can be alternatively implemented or had.

[0185] Specifically, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program codes for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above functions defined in the method of the embodiment of the present disclosure are executed.

[0186] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes and are not used to limit the scope of these messages or information.

[0187] The electronic device provided by the embodiment of the present disclosure and the distributed photovoltaic power generation system energy storage control method provided by the above embodiment belong to the same inventive concept. Technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0188] The embodiment of the present disclosure provides a computer storage medium, on which a computer program is stored, and when the program is executed by a processor, the distributed photovoltaic power generation system energy storage control method provided by the above embodiment is implemented.

[0189] It should be noted that the computer-readable medium described above can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and this computer-readable signal medium can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0190] In some embodiments, the server can communicate using any currently known or future-developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0191] The above computer-readable medium can be included in the above electronic device; or it can exist separately without being assembled into the electronic device.

[0192] The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device is caused to:

[0193] Obtain the historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system;

[0194] Determine the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data;

[0195] Determine the net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, the standard irradiance, the photovoltaic operating temperature, the photovoltaic reference temperature, and the load curve;

[0196] Determine the minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0197] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include, but are not limited to, object-oriented programming languages - such as Java, Smalltalk, C++; and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0198] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of code, or a portion thereof that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functionality involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0199] The units involved in the embodiments described in the present disclosure can be implemented in software or in hardware. In some cases, the name of the unit does not constitute a limitation on the unit itself.

[0200] The functions described above herein can be performed, at least in part, by one or more hardware logic components. By way of example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0201] In the context of the present disclosure, a machine-readable medium may be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0202] The above description is only a preferred embodiment of the present disclosure and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) having similar functions disclosed in the present disclosure.

[0203] In addition, although the operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, the various features described in the context of a single embodiment may also be implemented separately or in any suitable sub-combination in multiple embodiments.

[0204] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms for implementing the claims.

Claims

1. A method for energy storage control and management of a distributed photovoltaic power generation system, characterized in that Including: Obtaining historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic operating temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system; Determining an irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determining a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data; Determining a net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and the load curve; Determining a maximum net load based on the net load curve; wherein the maximum net load represents the maximum value of the net load corresponding to a preset time period in the net load curve; Determining a minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the maximum net load and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity, and the minimum energy storage capacity is the difference between the absolute value of the maximum net load and the line carrying capacity.

2. The method according to claim 1, wherein Determining an irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determining a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data, including: Determining a set of historical irradiances corresponding to each preset time period in a historical day based on the historical irradiance data; Determining a maximum historical irradiance corresponding to each preset time period based on the set of historical irradiances, and generating an irradiance curve corresponding to the distributed photovoltaic power generation system based on the maximum historical irradiances corresponding to all preset time periods; Determining a set of historical loads corresponding to each preset time period in a historical day based on the historical load data; Determining an average historical load corresponding to each preset time period based on the set of historical loads, and generating a load curve corresponding to the distributed photovoltaic power generation system based on the average historical loads corresponding to all preset time periods.

3. The method according to claim 1, wherein Determining a net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and the load curve, including: Determining a photovoltaic power curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, standard irradiance, the photovoltaic operating temperature, photovoltaic reference temperature, and the power temperature coefficient; Determining a net load curve corresponding to the distributed photovoltaic power generation system based on the load curve and the photovoltaic power curve.

4. The method according to claim 3, wherein The photovoltaic power curve corresponding to the distributed photovoltaic power generation system includes photovoltaic powers corresponding to each preset time period in a day; Determining the photovoltaic power corresponding to each preset time period in a day based on the following formula: ； Among them, is a preset time period corresponding photovoltaic power; is the actual photovoltaic installed capacity; is the preset time period determined based on the irradiance curve corresponding target irradiance; is the standard irradiance; is the photovoltaic operating temperature; is the photovoltaic reference temperature; is the power temperature coefficient.

5. The method according to claim 1, wherein After installing a target energy storage device in the distributed photovoltaic power generation system, further including: Obtain the target photovoltaic output, target load, target energy storage operation cost, and target grid unit value of the distributed photovoltaic power generation system during the target time period; Taking the energy storage output of the target energy storage device as a variable, based on the target photovoltaic output, the target load, the target energy storage operation cost, and the target grid unit value, construct a target revenue function and target constraint conditions; Based on the target constraint conditions, maximize the target revenue function to obtain the target energy storage output of the target energy storage device during the target time period, so as to control the energy storage operation of the target energy storage device based on the target energy storage output.

6. The method according to claim 5, wherein The target constraint conditions include: line carrying capacity constraint conditions, power stability constraint conditions, and energy storage operation constraint conditions; Among them, the line carrying capacity constraint condition means that the absolute value of the target power corresponding to the target time period is less than or equal to the line carrying capacity, where the target power is determined based on the energy storage output of the target energy storage device, the target photovoltaic output, and the target load; The power stability constraint condition means that the absolute value of the power difference between the target power corresponding to the target time period and the previous power corresponding to the previous time period is less than or equal to the preset power fluctuation value; The energy storage operation constraint condition means that the absolute value of the energy storage output of the target energy storage device is less than or equal to the actual energy storage capacity of the target energy storage device, and the state of charge of the energy storage during the target time period is within the preset state of charge range.

7. The method according to claim 1, wherein After installing the target energy storage device in the distributed photovoltaic power generation system, it further includes: Based on the current photovoltaic output, current energy storage output, and current load of the distributed photovoltaic power generation system during the current time period, determine the current power corresponding to the current time period; Based on the current power corresponding to the current time period and the previous power corresponding to the previous time period, determine the current power fluctuation value; If the current power fluctuation value is greater than the preset power fluctuation value, determine the current additional cost based on the current power fluctuation value, generate a cost prompt message based on the current additional cost, and send the cost prompt message to the user terminal.

8. The method according to any one of claims 1-7, characterized in that, After installing the target energy storage device in the distributed photovoltaic power generation system, it further includes: Based on the current photovoltaic output, current energy storage output, and current load of the distributed photovoltaic power generation system during the current time period, determine the current power corresponding to the current time period; Based on the current node voltage and the rated voltage of the distributed photovoltaic power generation system during the current time period, determine the current node voltage offset; If the current power corresponding to the current time period is greater than the line carrying capacity, or the current node voltage offset is greater than the preset offset, send an alarm message to the user terminal.

9. A distributed photovoltaic power generation system energy storage control device, characterized in that, It includes: A data acquisition module for acquiring historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic working temperature, and the line carrying capacity between the distributed photovoltaic power generation system and the power grid corresponding to the distributed photovoltaic power generation system; A curve determination module, configured to determine an irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determine a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data; A net load curve determination module, configured to determine a net load curve corresponding to the distributed photovoltaic power generation system based on the actual photovoltaic installed capacity, the irradiance curve, the standard irradiance, the photovoltaic operating temperature, the photovoltaic reference temperature, and the load curve; The energy storage capacity determination module includes: A maximum net load determination sub-module, configured to determine a maximum net load based on the net load curve; wherein, the maximum net load represents the maximum value of the net load corresponding to a preset duration in the net load curve; A minimum energy storage capacity determination sub-module, configured to determine a minimum energy storage capacity of the distributed photovoltaic power generation system under the actual photovoltaic installed capacity based on the maximum net load and the line carrying capacity, so as to install a target energy storage device in the distributed photovoltaic power generation system, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity, and the minimum energy storage capacity is the difference between the absolute value of the maximum net load and the line carrying capacity.

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