Distributed photovoltaic power generation system energy storage management and control method and device

Abstract

The embodiment of the invention provides a distributed photovoltaic power generation system energy storage management and control method and device. The method comprises the steps that historical irradiance data, historical load data, actual photovoltaic installed capacity, photovoltaic working temperature and line bearing capacity are acquired; 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, the irradiance curve, the standard irradiance, the photovoltaic working temperature, the reference temperature and the load curve; and based on the net load curve and the line bearing capacity, determining the minimum energy storage capacity under the actual photovoltaic installed capacity so as to install target energy storage equipment in the distributed photovoltaic power generation system. According to the technical scheme provided by the embodiment of the invention, the minimum energy storage capacity of the distributed photovoltaic power generation system is determined according to the historical data, so that the energy storage equipment with proper energy storage capacity can be installed, the situation that energy cannot be stored is avoided, and the energy storage performance of the distributed photovoltaic power generation system is improved.

Description

Technical Field

[0001] The 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 of a distributed photovoltaic power generation system. Background Art

[0002] After users install distributed photovoltaic power generation systems, they will use energy storage devices to store excess electricity for subsequent use or to sell to the power grid. Currently, there are no standard requirements for the energy storage capacity of distributed photovoltaic power generation system energy storage equipment, and users generally install energy storage equipment with a certain storage capacity based on experience.

[0003] The problem with the above method is that if the user installs energy storage equipment with too small energy storage capacity, it may cause the distributed photovoltaic power generation system to be unable to store energy when it generates too much electricity, thereby reducing the energy storage performance of the distributed photovoltaic power generation system. Summary of the invention

[0004] The embodiments of the present disclosure provide a method and device for energy storage control of a distributed photovoltaic power generation system, which can determine the minimum energy storage capacity of the distributed photovoltaic power generation system, avoid the situation where the installed energy storage device has too small a capacity and cannot store energy, and improve the energy storage performance of the distributed photovoltaic power generation system.

[0005] In a first aspect, an embodiment of the present disclosure provides a method for managing and controlling energy storage in a distributed photovoltaic power generation system, the method comprising:

[0006] Obtaining 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 corresponding to the distributed photovoltaic power generation system;

[0007] 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;

[0008] 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;

[0009] 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 is determined 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] In a second aspect, an embodiment of the present invention further provides a distributed photovoltaic power generation system energy storage control device, the device comprising:

[0011] A data acquisition module is used to acquire 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 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 to 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, used 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;

[0014] The energy storage capacity determination module 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, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0016] one or more processors;

[0017] a storage device for storing 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 as described in any one of the embodiments of the present invention.

[0019] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute a distributed photovoltaic power generation system energy storage control method as described in any one of the embodiments of the present invention.

[0020] The technical solution of the disclosed embodiment obtains 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 corresponding to the distributed photovoltaic power generation system, determines the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determines the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data, determines the net load 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 load curve, and accurately determines 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 line carrying capacity, thereby installing a target energy storage device greater than or equal to the minimum energy storage capacity in the distributed photovoltaic power generation system, and then the user can install an energy storage device with a suitable energy storage capacity, thereby avoiding the situation where the installed energy storage device has too small a capacity and cannot store energy, thereby improving the energy storage performance of the distributed photovoltaic power generation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. 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 the originals and elements are not necessarily drawn to scale.

[0022] Figure 1 It is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present disclosure;

[0023] Figure 2 It is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present disclosure;

[0024] Figure 3 It is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present disclosure;

[0025] Figure 4 It is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present disclosure;

[0026] Figure 5 A schematic structural diagram of a distributed photovoltaic power generation system energy storage control device provided in an embodiment of the present invention.

[0027] Figure 6 The present invention is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0028] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0029] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or 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 respect.

[0030] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part 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 "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0032] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, 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, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed 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, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0034] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. 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 is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0036] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0037] Before introducing the technical solutions provided by the embodiments of the present disclosure, an example description of the application scenarios may be given first.

[0038] The technical solution provided by the embodiments of the present disclosure can be applied in any scenario where the minimum energy storage capacity of the energy storage device of a distributed photovoltaic power generation system needs to be determined. Optionally, it can be applied in a scenario where a user sets the minimum energy storage capacity in order to install the energy storage device of a distributed photovoltaic power generation system.

[0039] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0040] Figure 1 It is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present disclosure. The embodiment of the present disclosure is applicable to determining the minimum energy storage capacity of the distributed photovoltaic power generation system energy storage equipment to install energy storage equipment with suitable energy storage capacity. The method can be executed by a distributed photovoltaic power generation system energy storage control device, which can be implemented in the form of software and / or hardware. The hardware can be an electronic device such as a server, which can execute the distributed photovoltaic power generation system energy storage control method provided by the technical solution.

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

[0042] S110, obtaining 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 corresponding to the distributed photovoltaic power generation system.

[0043] Among them, a distributed photovoltaic power generation system is a power generation system that uses photovoltaic modules to directly convert solar energy into electrical energy, connected to a power grid with a voltage level of less than 35 kilovolts or lower, and has no energy storage function. For example, a distributed photovoltaic power generation system can be arranged in a park suitable for installing photovoltaic arrays.

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

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

[0046] Among them, the actual photovoltaic installed capacity refers to the total capacity of 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 that describes the scale of a distributed photovoltaic power generation system.

[0047] It should be noted that the photovoltaic operating temperature is the temperature reached by the distributed photovoltaic power generation system in actual operation. In this embodiment, the average temperature of the distributed photovoltaic power generation system at the installation site throughout the year 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 the distributed photovoltaic power generation system being connected 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 accommodate under 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, the historical irradiance data and historical load data actually generated by the distributed photovoltaic power generation system in the historical time period before the current moment are obtained. At the same time, the actual photovoltaic installed capacity, photovoltaic operating temperature and line carrying capacity data between the distributed photovoltaic power generation system and the power grid are obtained for the next step of analysis and processing.

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

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

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

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

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

[0055] Among them, the preset time period is a plurality of time periods obtained by dividing 24 hours a day based on a preset duration. For example, when the preset duration is 15 minutes, a time period is divided every 15 minutes every day, so that 96 time periods can be obtained. At this time, the first preset time period is 0:00 to 0:15, and the 96th preset time period is 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 the historical irradiance data. First, determine the historical duration, for example, the historical duration can be the past year. Then, for the 24 hours of each day in 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 every day in the historical duration, a historical irradiance set containing 96 historical irradiance data can be obtained. For a certain day in the historical duration, the radiation energy received in 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 in the ninety-sixth preset time period from 23:45 to 24:00 is used as the 96th historical irradiance data in the historical irradiance set. At this time, the maximum historical irradiance corresponding to each preset time period in the historical duration is obtained. 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 historical day is the same as the method for determining the historical irradiance set mentioned above. For each day in the historical duration, after obtaining the historical load set containing 96 historical load data, the average value of all historical load data corresponding to each preset time period in the historical duration is obtained, that is, the average historical load corresponding to each preset time period is determined. 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 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.

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

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

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

[0062] In the disclosed embodiment, 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 rate of change of the current, voltage or maximum power of the photovoltaic cell at different temperatures, and the power temperature coefficient can be 0.0036 / ℃.

[0063] It should be noted that the photovoltaic power curve refers to the relationship curve between the DC power output of the photovoltaic module and the 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 of the 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, the load curve and the photovoltaic power curve corresponding to the distributed photovoltaic power generation system under the same preset time period are obtained, and the net load curve corresponding to the distributed photovoltaic power generation system can be obtained by subtracting the photovoltaic power curve from the load curve. The net load curve is:

[0065] ;

[0066] in, For preset time period The corresponding load curve is For preset time period The corresponding net load curve.

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

[0068] ;

[0069] in, For preset time period The corresponding photovoltaic power; is the actual photovoltaic installed capacity; A preset time period based on the irradiance curve The corresponding target radiance; is the standard irradiance; is the photovoltaic operating temperature; is the photovoltaic reference temperature; is the power temperature coefficient.

[0070] Specifically, for the actual photovoltaic installed capacity For a distributed photovoltaic power generation system, 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, the time is used as the horizontal axis and the photovoltaic power corresponding to each preset time period is used as the vertical axis, that is, the photovoltaic power curve corresponding to the distributed photovoltaic power generation system is obtained.

[0071] S140. 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.

[0072] Among them, energy storage equipment mainly includes energy storage batteries and battery management systems. Energy storage batteries usually include lithium batteries, lead-acid batteries, sodium-sulfur batteries, etc., which are used to store electrical energy. The battery management system is responsible for monitoring and managing the battery's charging and discharging process to ensure its safe and efficient operation. 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; and 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] 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 If it is less than 0, it is determined that there is no need to install energy storage equipment. At this time, the minimum energy storage capacity can be determined. The value is 0, and the user is reminded that there is no remaining energy and no energy storage equipment 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. This means that when the distributed photovoltaic power generation system has the maximum storage capacity or the maximum discharge capacity, the absolute value of the maximum net load is greater than the line carrying capacity, and the target energy storage equipment is installed only when the actual energy storage capacity of the target energy storage equipment installed at this time is not less than the minimum energy storage capacity.

[0077] The technical solution of the disclosed embodiment obtains 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 corresponding to the distributed photovoltaic power generation system, determines the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determines the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data, determines the net load 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 load curve, and accurately determines 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 line carrying capacity, thereby installing a target energy storage device greater than or equal to the minimum energy storage capacity in the distributed photovoltaic power generation system, and then the user can install an energy storage device with a suitable energy storage capacity, thereby avoiding the situation where the installed energy storage device has too small a capacity and cannot store energy, thereby improving the energy storage performance of the distributed photovoltaic power generation system.

[0078] Figure 2 This is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present invention. Based on the above embodiments, after the target energy storage device is installed 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 technical terms that are the same or corresponding to the above embodiments are not repeated here.

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

[0080] S210, obtaining 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 corresponding to the distributed photovoltaic power generation system.

[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, the standard irradiance, the photovoltaic operating temperature, the photovoltaic reference temperature and the load curve.

[0083] S240. Based on the net load curve and the line carrying capacity, determine the minimum energy storage capacity of the distributed photovoltaic power generation system panel 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.

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

[0085] It should be noted that if the user has installed an actual photovoltaic installed capacity of The distributed photovoltaic power generation system, at this time, the user has installed an actual energy storage capacity of The target energy storage device. The photovoltaic output is the photovoltaic power mentioned above. The target photovoltaic output is the target time period. The photovoltaic power value within is The target load is the load value within the target time period, expressed as The target energy storage operation cost is the target time period. The operating depreciation cost of the internal energy storage is a fixed value set within the power grid. The target grid unit value is the target time period The unit electricity price of the power grid under To express.

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

[0087] Among them, the energy storage output is the target energy storage device in the target time period. The power output value under To express, Greater than 0 means energy storage discharge. Less than 0 indicates energy storage charging.

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

[0089] Specifically, taking the target constraint as a constraint, the target time period when the target profit function is maximized can be calculated. Internal energy storage output.

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

[0091] 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, wherein 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.

[0092] Specifically, the target power is , i.e. target time period The target energy storage device's energy storage output plus the target photovoltaic output minus the target load. The carrying capacity constraint of this line is:

[0093] ;

[0094] 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.

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

[0096] ;

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

[0098] ;

[0099] Preset power fluctuation value The carrying capacity constraint of this line is:

[0100] .

[0101] 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 energy storage charge state within the target time period is within the preset charge state range.

[0102] The energy storage charge state represents the current amount of electricity in the energy storage device at the target time. The range of the energy storage capacity of the energy storage device within the lower limit and the upper limit is the preset charge state. For example, 5% of the energy storage capacity of the energy storage device is the lower limit of the energy storage charge state, and 95% of the energy storage capacity of the energy storage device is the upper limit of the energy storage charge state. The energy storage charge state within the target time period is expressed as The lower limit of the energy storage charge state is expressed as The upper limit of the energy storage state of charge is expressed as express.

[0103] Specifically, the energy storage operation constraints are:

[0104] , .

[0105] S270. Based on the target constraint condition, the target benefit function is maximized 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 photovoltaic output in 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 , the target profit function is:

[0107] .

[0108] Specifically, based on the target constraints of the line carrying capacity constraint, the power stability constraint and the energy storage operation constraint, the target benefit function is maximized to obtain the target energy storage output of the target energy storage device in the target time period, and then the energy storage operation of the target energy storage device is controlled based on the target energy storage output. For example, after obtaining the target energy storage output of the target energy storage device in 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 achieve greater benefits by using the energy storage device corresponding to the distributed photovoltaic power generation system in the next target time period.

[0109] According to the technical solution of the embodiment of the present disclosure, after the target energy storage device is installed in the distributed photovoltaic power generation system, the target photovoltaic output, target load, target energy storage operation cost and target grid unit value of the distributed photovoltaic power generation system within the target time period are obtained, and the energy storage output of the target energy storage device is used as a variable. Based on the target photovoltaic output, target load, target energy storage operation cost and target grid unit value, a target benefit function and a target constraint condition are constructed. Based on the target constraint condition, the target benefit function is maximized 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 benefit of controlling the energy storage operation of the target energy storage device based on the above method is that the distributed photovoltaic power generation system and the energy storage device can maximize the target benefit of the target user while satisfying the line carrying capacity constraint condition, the power stability constraint condition and the energy storage operation constraint condition, thereby improving the rationality and high profitability of the energy storage operation.

[0110] Figure 3This is a flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present invention. Based on the above embodiments, after the target energy storage device is installed in the distributed photovoltaic power generation system, the operation of the power grid when the power fluctuation value is greater than the preset power fluctuation value is described in detail. Among them, the technical terms that are the same or corresponding to the above embodiments are not repeated here.

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

[0112] S310, obtaining 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 corresponding to the distributed photovoltaic power generation system.

[0113] S320. 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.

[0114] S330. 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.

[0115] S340. Based on the net load curve and the line carrying capacity, determine the minimum energy storage capacity of the distributed photovoltaic power generation system panel 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.

[0116] S350, determining 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 in the current time period.

[0117] The current time period refers to the current preset time period. Indicates; the current photovoltaic output refers to the current time period The photovoltaic power value within is Indicates; the current energy storage output refers to the current time period The electrical energy output value is Indicates; the current load refers to the load value in the current time period, Indicates; the current power refers to the current time period The current energy storage output of the energy storage device plus the current photovoltaic output minus the current load. The current power calculation formula is:

[0118] .

[0119] S360: Determine a 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 before the current preset time period. Indicates; the last power refers to the last time period The last energy storage output of the next energy storage device plus the last photovoltaic output minus the last load. The calculation formula for the last power is:

[0121] .

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

[0123] The current power fluctuation value is equal to the current power minus the previous power. Said, the formula is:

[0124] = ;

[0125] Specifically, when there is a power fluctuation value within 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, the current additional fee is determined, that is, , The calculation formula is:

[0126] = ;

[0127] in, The electricity price coefficient for power fluctuation set for the power grid, Indicates the power fluctuation time when the power fluctuation value is greater than the preset power fluctuation value. And generates fee prompt information based on the current additional fee, and sends the fee prompt information to the user terminal.

[0128] The technical solution of the disclosed embodiment is to 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 in the current time period after installing the target energy storage device in the distributed photovoltaic power generation system, and 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. If the current power fluctuation value is greater than the preset power fluctuation value, the current additional fee is determined based on the current power fluctuation value, and fee prompt information is generated based on the current additional fee, and the fee prompt information is sent to the user terminal. The advantage of the above method is that the user terminal of the installed energy storage device reduces the power fluctuation value, thereby reducing the problems of voltage instability, damage to the distributed photovoltaic power generation system and deterioration in power supply quality caused by excessive power fluctuation values, and improving the stability of the power fluctuation value.

[0129] Figure 4 A flow chart of a distributed photovoltaic power generation system energy storage control method provided by an embodiment of the present invention, based on the above embodiments, after the target energy storage device is installed in the distributed photovoltaic power generation system, a detailed description of 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 given. Among them, the technical terms that are the same or corresponding to the above embodiments are not repeated here.

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

[0131] S410, obtaining 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 corresponding to the distributed photovoltaic power generation system.

[0132] S420. 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.

[0133] S430. 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.

[0134] S440. Based on the net load curve and the line carrying capacity, determine the minimum energy storage capacity of the distributed photovoltaic power generation system panel 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.

[0135] S450: 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 in the current time period.

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

[0137] Among them, the current node voltage is the node voltage value of the user side connected to the power grid at the current moment, and The rated voltage is the rated voltage value of the user-side access point, expressed in The current node voltage offset is , the 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 a preset offset, an alarm message is sent 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 the alarm information sent by the power grid. The technical solution of the embodiment of the present disclosure is that after the target energy storage device is installed in the distributed photovoltaic power generation system, the current power corresponding to the current time period is determined based on the current photovoltaic output, current energy storage output and current load of the distributed photovoltaic power generation system in the current time period, and the current node voltage offset is determined based on the current node voltage and rated voltage of the distributed photovoltaic power generation system in the current time period. If at least one condition 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 is not met, the power grid can send an alarm message to the user terminal. The advantage of the above method is that the user terminal with the energy storage device installed can better achieve the current power within the line carrying capacity, and also make the user terminal with the energy storage device installed better achieve the current node voltage offset within the preset offset, thereby improving the safety of the line and electrical equipment.

[0141] On the basis of the above technical solutions, the economic performance of the distributed photovoltaic power generation system is calculated based on the operating data within the cycle to achieve an evaluation of the overall economic performance.

[0142] Due to the economic evaluation of distributed photovoltaic power generation system, the net present value of financial management is used to evaluate the economic efficiency of distributed photovoltaic power generation system. The indicators include: Net present value: Due to the long operating life of distributed photovoltaic power generation system, in order to reasonably analyze the investment benefits of the project, it is necessary to calculate the annual income. Annual expenditure Discount according to the industry benchmark rate of return. On this basis, the difference between the discounted annual income and annual expenditure can be calculated 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, that is, NPV. The calculation formula of the NPV evaluation index is:

[0143] ;

[0144] In the formula, is the annual cash inflow; is the annual cash outflow; (net income) It means that the net cash flow in year t is invested in year 0, that is, t=0; k is the discount rate. When , it means the project is not feasible.

[0145] On the basis of the above-mentioned technical solutions, the economic efficiency of the distributed photovoltaic power generation system within the cycle is evaluated based on the operating data within the cycle. By calculating the indicators of the economic efficiency of the distributed photovoltaic power generation system, the overall economic performance is evaluated, and an overall description of the economic effect is achieved, thereby determining the feasibility of the project.

[0146] Figure 5 is a structural schematic diagram of a distributed photovoltaic power generation system energy storage control device provided by an embodiment of the present disclosure, such as Figure 5 As 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] A data acquisition module 510 is used to acquire 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 corresponding to the distributed photovoltaic power generation system; a 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 to determine the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data; a 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; an 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, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

[0148] The technical solution of the disclosed embodiment obtains 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 corresponding to the distributed photovoltaic power generation system, determines the irradiance curve corresponding to the distributed photovoltaic power generation system based on the historical irradiance data, and determines the load curve corresponding to the distributed photovoltaic power generation system based on the historical load data, determines the net load 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 load curve, and accurately determines 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 line carrying capacity, thereby installing a target energy storage device greater than or equal to the minimum energy storage capacity in the distributed photovoltaic power generation system, and then the user can install an energy storage device with a suitable energy storage capacity, thereby avoiding the situation where the installed energy storage device has too small a capacity and cannot store energy, thereby 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 submodule, used to determine a historical irradiance set corresponding to each preset time period in each historical day based on the historical irradiance data;

[0151] An irradiance curve determination submodule, for determining the maximum historical irradiance corresponding to each preset time period based on the historical irradiance set, and generating 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 submodule, used to determine the historical load set corresponding to each preset time period in each historical day based on the historical load data;

[0153] The load curve determination submodule is used 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 submodule, used to determine the photovoltaic power 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 power temperature coefficient;

[0156] The net load curve determination submodule is used to determine the net load curve corresponding to the distributed photovoltaic power generation system based on the load curve and the photovoltaic power curve.

[0157] On the basis of 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 of each day;

[0158] The net load curve determination submodule is specifically used to determine the photovoltaic power corresponding to each preset time period in each day based on the following formula:

[0159] ;

[0160] in, For preset time period The corresponding photovoltaic power; is the actual photovoltaic installed capacity; is a preset time period determined based on the irradiance curve The corresponding target radiance; 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 submodule, configured to determine a maximum net load based on the net load curve;

[0163] The minimum energy storage capacity determination submodule is used to determine the minimum energy storage capacity of the distributed photovoltaic power generation system panel under the actual photovoltaic installed capacity based on the maximum net load and the line carrying capacity.

[0164] On the basis of the above technical solutions, the device also includes:

[0165] A data acquisition module is used to obtain 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 benefit function construction module is used to construct a target benefit function and target constraint conditions based on the target photovoltaic output, the target load, the target energy storage operation cost and the target grid unit value, taking the energy storage output of the target energy storage device as a variable;

[0167] The energy storage operation control module is used to maximize the target benefit function based on the target constraint condition 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.

[0168] On the basis of the above technical solutions, the target constraints include: line carrying capacity constraints, power stability constraints and energy storage operation constraints;

[0169] 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, wherein 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 refers to: 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 energy storage charge state within the target time period is within a preset charge state range.

[0172] On the basis of the above technical solutions, the device also includes:

[0173] A current power determination module, used to 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 in the current time period;

[0174] A current power fluctuation value determination module, 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 fee prompt information sending module is used to determine the current additional fee based on the current power fluctuation value if the current power fluctuation value is greater than the preset power fluctuation value, generate fee prompt information based on the current additional fee, and send the fee prompt information to the user terminal.

[0176] On the basis of the above technical solutions, the device also includes:

[0177] A current power determination module, used to 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 in the current time period;

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

[0179] The alarm information sending module is used to send an alarm message to the user terminal 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 a preset offset.

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

[0181] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned 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 distinguishing each other, and are not used to limit the protection scope of the embodiments of the present disclosure.

[0182] Figure 6 Schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. Figure 6 , which shows an electronic device (eg, Figure 6 The terminal device in the embodiment of the present disclosure may include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted 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 scope of use of the embodiments of the present disclosure.

[0183] like Figure 6 As shown, the electronic device 500 may include a processing device (e.g., 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 via a bus 504. An edit / output (I / O) interface 505 is also connected to the bus 504.

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

[0185] In particular, 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 contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 509, or installed from a storage device 508, or installed from a ROM 502. When the computer program is executed by the processing device 501, the above-mentioned 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 used for illustrative purposes and are not used to limit the scope of these messages or information.

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

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

[0189] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may 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, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may 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 may be transmitted using 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 servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0191] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0192] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0193] Obtaining 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 corresponding to the distributed photovoltaic power generation system;

[0194] 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;

[0195] 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;

[0196] 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 is determined 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 a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving 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 (e.g., via the Internet using an Internet service provider).

[0198] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0199] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0200] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, 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 chips (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 may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. 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, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, 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 foregoing.

[0202] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. 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 a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0203] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

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

Claims

1. A distributed photovoltaic power generation system energy storage control method, characterized in that: include: Obtaining 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 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; 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; 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 is determined 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.

2. The method according to claim 1, characterized in that 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: Based on the historical irradiance data, determine a historical irradiance set corresponding to each preset time period in each historical day; Based on the historical irradiance set, determining the maximum historical irradiance corresponding to each preset time period, and generating an irradiance curve corresponding to the distributed photovoltaic power generation system based on the maximum historical irradiance corresponding to all preset time periods; Based on the historical load data, determine a historical load set corresponding to each preset time period in each historical day; Based on the historical load set, the average historical load corresponding to each preset time period is determined, and based on the average historical load corresponding to all preset time periods, a load curve corresponding to the distributed photovoltaic power generation system is generated.

3. The method according to claim 1, characterized in that Determining 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 includes: Determining a photovoltaic power 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 power temperature coefficient; Based on the load curve and the photovoltaic power curve, a net load curve corresponding to the distributed photovoltaic power generation system is determined.

4. The method according to claim 3, characterized in that The photovoltaic power curve corresponding to the distributed photovoltaic power generation system includes the photovoltaic power corresponding to each preset time period of each day; The PV power corresponding to each preset time period of each day is determined based on the following formula: ； in, For preset time period The corresponding photovoltaic power; is the actual photovoltaic installed capacity; is a preset time period determined based on the irradiance curve The corresponding target radiance; 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, characterized in that Determining the minimum energy storage capacity of the distributed photovoltaic power generation system panel under the actual photovoltaic installed capacity based on the net load curve and the line carrying capacity includes: Based on the net load curve, determining a maximum net load; Based on the maximum net load and the line carrying capacity, the minimum energy storage capacity of the distributed photovoltaic power generation system panel under the actual photovoltaic installed capacity is determined.

6. The method according to claim 1, characterized in that After the target energy storage device is installed in the distributed photovoltaic power generation system, the system further includes: Obtaining a target photovoltaic output, a target load, a target energy storage operation cost, and a target grid unit value of the distributed photovoltaic power generation system within a 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 benefit function and target constraint conditions; Based on the target constraint condition, the target benefit function is maximized 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.

7. The method according to claim 6, characterized in that The target constraints include: line carrying capacity constraints, power stability constraints and energy storage operation constraints; 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, wherein 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 refers to: 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 energy storage charge state within the target time period is within a preset charge state range.

8. The method according to claim 1, characterized in that After the target energy storage device is installed in the distributed photovoltaic power generation system, the system further includes: 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 in the current time period; Determine a 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; If the current power fluctuation value is greater than the preset power fluctuation value, the current additional fee is determined based on the current power fluctuation value, and fee prompt information is generated based on the current additional fee, and the fee prompt information is sent to the user terminal.

9. The method according to any one of claims 1 to 8, characterized in that: After the target energy storage device is installed in the distributed photovoltaic power generation system, the system further includes: 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 in the current time period; Determining a current node voltage offset based on a current node voltage and a rated voltage of the distributed photovoltaic power generation system in a current time period; 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 a preset offset, an alarm message is sent to the user terminal.

10. A distributed photovoltaic power generation system energy storage control device, characterized in that: include: A data acquisition module is used to acquire 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 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 to determine a load curve corresponding to the distributed photovoltaic power generation system based on the historical load data; A net load curve determination module, used 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 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, wherein the actual energy storage capacity of the target energy storage device is greater than or equal to the minimum energy storage capacity.

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