Optical storage collaborative configuration method, device and medium applied to optical storage direct current flexible building

By obtaining the photovoltaic output curve and load curve, and reasonably allocating the photovoltaic energy storage capacity and charge and discharge power, the problem of waste of energy storage capacity in optical storage direct and flexible buildings is solved, and economic and resource utilization efficiency is improved.

CN114709878BActive Publication Date: 2025-07-18GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202210501585.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-05-09
Publication Date
2025-07-18
Estimated Expiration
2042-05-09

AI Technical Summary

Technical Problem

The existing optical storage collaborative configuration scheme of optical storage directly and soft buildings fails to achieve the rational use of renewable resources, which can easily lead to waste of energy storage capacity.

Method used

By obtaining the photovoltaic output curve and load curve, determine the energy storage configuration target, reasonably configure the photovoltaic energy storage capacity and energy storage charge and discharge power, and combine the actual power generation status and power consumption needs of the photovoltaic direct and flexible building.

Benefits of technology

It avoids the waste of energy storage capacity, improves the economy of optical storage and direct soft buildings, and realizes the rational use of renewable resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a method, device and medium for collaborative configuration of photovoltaics and energy storage in a building with photovoltaics, energy storage, DC power distribution and flexible AC load. The method includes: obtaining the photovoltaic output curve of the building with photovoltaics, energy storage, DC power distribution and flexible AC load; determining the energy storage configuration target specified by the user; selecting the load curve according to the energy storage configuration target; and configuring the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the building with photovoltaics, energy storage, DC power distribution and flexible AC load according to the photovoltaic output curve and the load curve. By using the photovoltaic output curve of the building with photovoltaics, energy storage, DC power distribution and flexible AC load and the actually obtained load curve according to the energy storage configuration target to configure the photovoltaics, the actual power generation situation and power consumption demand of the building with photovoltaics, energy storage, DC power distribution and flexible AC load are combined, waste of energy storage capacity is avoided during photovoltaic configuration, the economy of the building with photovoltaics, energy storage, DC power distribution and flexible AC load is improved, and reasonable utilization of renewable resources is realized.
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Description

Technical Field

[0001] The present invention relates to the technical field of renewable energy utilization, and in particular, to a method, device and medium for photovoltaic-storage collaborative configuration applied to a photovoltaic-storage-direct-flexibility building. Background Art

[0002] At present, in order to accelerate the optimization of the building energy use structure and deepen the application of renewable energy in buildings, the integration of photovoltaic power generation and buildings has been gradually applied, which mainly involves a photovoltaic-storage-direct-flexibility building integrating photovoltaic power generation, energy storage, DC power distribution and flexible power consumption.

[0003] Due to the uncertainty and volatility of the output of photovoltaic power generation, directly connecting it to the DC microgrid and then sending it to the AC large grid will affect the safe operation of the grid. By carrying out photovoltaic-storage collaborative configuration for the photovoltaic-storage-direct-flexibility building, the utilization rate of renewable energy can be improved.

[0004] At present, when carrying out photovoltaic-storage collaborative configuration for the photovoltaic-storage-direct-flexibility building, most of them are configured according to experience or electricity demand, and it is easy to select a high-capacity configuration, resulting in waste of capacity. Therefore, the existing photovoltaic-storage collaborative configuration schemes cannot achieve the rational utilization of renewable resources. Summary of the Invention

[0005] The present invention provides a method for photovoltaic-storage collaborative configuration applied to a photovoltaic-storage-direct-flexibility building to solve the problem of collaborative configuration of photovoltaic and energy storage for the photovoltaic-storage-direct-flexibility building.

[0006] According to one aspect of the present invention, there is provided a method for photovoltaic-storage collaborative configuration applied to a photovoltaic-storage-direct-flexibility building, including:

[0007] Obtain the photovoltaic output curve of the photovoltaic-storage-direct-flexibility building, where the photovoltaic output curve is used to represent the power output status of the photovoltaic-storage-direct-flexibility building changing with time;

[0008] Determine the energy storage configuration target specified by the user, where the energy storage configuration target includes maximizing the consumption of photovoltaic power or peak-valley arbitrage;

[0009] Select a load curve according to the energy storage configuration target, where the load curve is used to represent the power consumption status of the photovoltaic-storage-direct-flexibility building changing with time;

[0010] Configure the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-flexibility building according to the photovoltaic output curve and the load curve.

[0011] According to another aspect of the present invention, there is provided a device for photovoltaic-storage collaborative configuration applied to a photovoltaic-storage-direct-flexibility building, including:

[0012] The photovoltaic output curve acquisition module is used to acquire the photovoltaic output curve of the building with integrated energy storage, direct current power distribution, and flexible loads, where the photovoltaic output curve is used to represent the power output status of the building with integrated energy storage, direct current power distribution, and flexible loads changing over time;

[0013] The energy storage configuration target determination module is used to determine the energy storage configuration target specified by the user, and the energy storage configuration target includes maximizing the consumption of photovoltaic power or performing peak-valley arbitrage;

[0014] The load curve selection module is used to select a load curve according to the energy storage configuration target, where the load curve is used to represent the power consumption status of the building with integrated energy storage, direct current power distribution, and flexible loads changing over time;

[0015] The configuration module is used to configure the energy storage capacity and the energy storage charge and discharge power of the photovoltaic in the building with integrated energy storage, direct current power distribution, and flexible loads according to the photovoltaic output curve and the load curve.

[0016] According to another aspect of the present invention, there is provided an electronic device, which includes:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; where

[0019] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, there is provided a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a processor to implement the method according to any embodiment of the present invention when executed.

[0021] The technical solution of the embodiment of the present invention configures the photovoltaic by combining the photovoltaic output curve of the building with integrated energy storage, direct current power distribution, and flexible loads and the actually obtained load curve according to the energy storage configuration target, thereby combining the actual power generation status and power consumption demand of the building with integrated energy storage, direct current power distribution, and flexible loads, avoiding waste of energy storage capacity during photovoltaic configuration, improving the economy of the building with integrated energy storage, direct current power distribution, and flexible loads, and realizing the rational utilization of renewable resources.

[0022] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0024] Figure 1 It is a flowchart of a photovoltaic-storage collaborative configuration method for an application of a photovoltaic-storage direct-current flexible building according to Embodiment 1 of the present invention;

[0025] Figure 2 It is a flowchart of a photovoltaic-storage system configuration method for an application of a photovoltaic-storage direct-current flexible building according to Embodiment 2 of the present invention;

[0026] Figure 3 It is a schematic diagram of curve comparison in the first scenario according to Embodiment 2 of the present invention;

[0027] Figure 4 It is a schematic diagram of curve comparison in the second scenario according to Embodiment 2 of the present invention;

[0028] Figure 5 It is a flowchart of a photovoltaic-storage system configuration method for an application of a photovoltaic-storage direct-current flexible building according to Embodiment 3 of the present invention;

[0029] Figure 6 It is a schematic diagram of curve comparison in the first scenario according to Embodiment 3 of the present invention;

[0030] Figure 7 It is a schematic diagram of curve comparison in the second scenario according to Embodiment 3 of the present invention;

[0031] Figure 8 It is a schematic structural diagram of a photovoltaic-storage collaborative configuration device for an application of a photovoltaic-storage direct-current flexible building according to Embodiment 4 of the present invention;

[0032] Figure 9 It is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present invention. Detailed implementation manners

[0033] To enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment 1

[0036] Figure 1 FIG. is a flowchart of a photovoltaic and energy storage collaborative configuration method applied to a photovoltaic and energy storage direct-current flexible building according to Embodiment 1 of the present invention. This embodiment is applicable to the case of configuring the photovoltaic of a photovoltaic and energy storage direct-current flexible building. This method can be executed by a photovoltaic and energy storage collaborative configuration device applied to a photovoltaic and energy storage direct-current flexible building, and this device can be implemented in the form of hardware and / or software. As Figure 1 shown, this method includes:

[0037] Step S110, obtaining the photovoltaic output curve of the photovoltaic and energy storage direct-current flexible building.

[0038] Optionally, obtaining the photovoltaic output curve of the photovoltaic and energy storage direct-current flexible building includes: determining the installation capacity of the photovoltaic and energy storage direct-current flexible building; obtaining the photovoltaic output curve according to the installation capacity and the solar irradiance value.

[0039] Optionally, determining the installation capacity of the photovoltaic and energy storage direct-current flexible building includes: obtaining the effective available area, the unit photovoltaic occupied area and the unit photovoltaic capacity of the photovoltaic and energy storage direct-current flexible building; determining the number of unit photovoltaics according to the effective available area and the unit photovoltaic occupied area; determining the installation capacity of the photovoltaic and energy storage direct-current flexible building according to the number of unit photovoltaics and the unit photovoltaic capacity.

[0040] Specifically, in this embodiment, photovoltaic modules can be installed on both the building roof and the building facade of the photovoltaic-storage-direct-current-flexible building. Therefore, the effective available area S1 of the building roof and the effective available area S2 of the building facade will be obtained. The effective available area in this embodiment refers to the building area that meets the conditions for installing photovoltaic modules and where the installed photovoltaic modules can receive sunlight. In this embodiment, the parameters of the photovoltaic modules will be obtained. The parameters of the photovoltaic modules can specifically be the unit photovoltaic occupied area and the unit photovoltaic capacity. Since the building roof is not blocked by obstacles, the sunlight irradiation duration is relatively long. To ensure that the photovoltaic-storage-direct-current-flexible building can output as much electricity as possible, the types of photovoltaic modules used on the building roof and the building facade can be different. For example, the unit photovoltaic occupied area installed on the building roof is Spv1, and the unit photovoltaic capacity is Cpv1; the unit photovoltaic occupied area installed on the building facade is Spv2, and the unit photovoltaic capacity is Cpv2.

[0041] It should be noted that since preset conditions are set for both the building roof area and the building facade area in advance, the constraint condition for the building roof area is Npv1 * Spv1 ≤ S1. According to the maximum utilization rate, the number of unit photovoltaics used in the building roof can be determined as Npv1; the constraint condition for the building facade area is Npv2 * Spv2 ≤ S2. According to the maximum utilization rate, the number of unit photovoltaics used in the building facade can be determined as Npv2. Thus, according to the number of unit photovoltaics and the unit photovoltaic capacity used in the building roof and the building facade, the installation capacity of the photovoltaic in the photovoltaic-storage-direct-current-flexible building can be determined as Ps = Npv1 * Cpv1 + Npv2 * Cpv2. Of course, in this embodiment, only an example is given, and the symbols used for each parameter are not specifically limited.

[0042] Among them, after determining the installation capacity Ps of the photovoltaic-storage-direct-current-flexible building, the photovoltaic output curve can be obtained according to the installation capacity and the solar irradiance value. The photovoltaic output curve is used to represent the power output status of the photovoltaic-storage-direct-current-flexible building changing with time. Specifically, the photovoltaic output curve can be represented by the following formula (1):

[0043]

[0044] Among them, P pv (t) represents the actual output of the photovoltaic cell, with the unit of kW; Ps represents the installation capacity of the photovoltaic, and at the same time, it is also the rated power of the photovoltaic cell, with the unit of kW; Gr(t) represents the actual irradiation intensity at the location of the photovoltaic cell, with the unit of W / m 2 ; Gs represents the standard solar irradiance of 1000 W / m 2; k is the temperature coefficient of the photovoltaic cell; Tr represents the actual temperature at the location of the photovoltaic cell, in °C; Ts represents the actual temperature on the surface of the photovoltaic cell under standard conditions.

[0045] Step S120, determine the energy storage configuration target specified by the user.

[0046] Specifically, in this embodiment, the terminal device will also receive a configuration instruction from the user. The configuration instruction contains the energy storage configuration target specified by the user. The energy storage configuration target includes maximizing the consumption of photovoltaic power or peak-valley arbitrage. Maximizing the consumption of photovoltaic power can maximize the storage of the electricity output by the photovoltaic-storage-direct-current-soft building. Peak-valley arbitrage can maximize the savings on electricity bills, enabling the user to obtain the maximum benefit. Therefore, the two configuration targets are completely different, and the photovoltaic configuration methods adopted for different configuration targets also have differences.

[0047] Step S130, select a load curve according to the energy storage configuration target.

[0048] Optionally, selecting a load curve according to the energy storage configuration target includes: when the energy storage configuration target is to maximize the consumption of photovoltaic power, the load curve is the first load curve, where the first load curve is collected on a typical day when the daily power consumption of the photovoltaic-storage-direct-current-soft building is less than a preset threshold; when the energy storage configuration target is peak-valley arbitrage, the load curve is the second load curve, where the second load curve is collected on a typical day when the daily power consumption of the photovoltaic-storage-direct-current-soft building is greater than a preset threshold.

[0049] Among them, the load curve is used to represent the power consumption status of the photovoltaic-storage-direct-current-soft building changing with time. And the load curves selected according to different energy storage configuration targets also have differences. When the energy storage configuration target is to maximize the consumption of photovoltaic power, then from the annual load power consumption curves of the building access current distribution part collected, a typical day with relatively less power consumption is extracted, such as the first load curve on a non-working day in winter; when the energy storage configuration target is peak-valley arbitrage, then from the annual load power consumption curves of the building access current distribution part collected, a typical day with relatively more power consumption is extracted, such as the second load curve on a working day in summer.

[0050] Step S140, configure the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the load curve.

[0051] Optionally, configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the load curve includes: determining that the load curve is the first load curve matching the maximum consumption of photovoltaic power; configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the first load curve.

[0052] Optionally, according to the photovoltaic output curve and the load curve, configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the building with direct current injection from photovoltaic and energy storage, including: determining that the load curve is the second load curve matching peak-valley arbitrage; configuring the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the building with direct current injection from photovoltaic and energy storage according to the photovoltaic output curve and the second load curve.

[0053] When the photovoltaic output curve is determined and the load curve collected according to the actual configuration target, according to the photovoltaic output curve and different load curves, a reasonable configuration of the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the building with direct current injection from photovoltaic and energy storage is achieved.

[0054] In the embodiment of the present application, by using the photovoltaic output curve of the building with direct current injection from photovoltaic and energy storage and the load curve actually obtained according to the energy storage configuration target, the photovoltaic is configured, so that the actual power generation situation and the electricity consumption demand of the building with direct current injection from photovoltaic and energy storage are combined, the waste of energy storage capacity is avoided during photovoltaic configuration, the economy of the building with direct current injection from photovoltaic and energy storage is improved, and the reasonable utilization of renewable resources is realized.

[0055] Embodiment 2

[0056] Figure 2 The flowchart of a photovoltaic and energy storage collaborative configuration method applied to a building with direct current injection from photovoltaic and energy storage provided in Embodiment 2 of the present invention is shown. In this embodiment, when it is determined that the energy storage configuration target is to maximize the consumption of photovoltaic power, step S140 is specifically described. As Figure 2 shown, the method includes:

[0057] Step S210, determining that the load curve is the first load curve matching the maximum consumption of photovoltaic power.

[0058] Specifically, when it is determined that the energy storage configuration target is to maximize the consumption of photovoltaic power, then it is determined that the load curve is the first load curve on a non-working day in winter, and the first load curve on a non-working day in winter can be represented by P load,winter (t), and there are two scenarios for the configuration target of maximizing the consumption of photovoltaic power:

[0059] The first scenario is that the peak value of the photovoltaic output curve is greater than the first load curve, and the determination basis is the following formula (2)

[0060]

[0061] Among them, P pv,winter (t) is the photovoltaic output on a non-working day in winter; P load,winter (t) is the load on a non-working day in winter, and as Figure 3 shown is the curve comparison schematic diagram in the first scenario.

[0062] The second scenario is that the peak value of the photovoltaic output curve is less than the first load curve, and the judgment basis is the following formula (2).

[0063]

[0064] As Figure 4 shown, it is a schematic diagram of curve comparison in the second scenario.

[0065] Step S220: Configure the energy storage capacity and energy storage charge and discharge power of the photovoltaic in the photovoltaic-storage-direct-flexible building according to the photovoltaic output curve and the first load curve.

[0066] Optionally, configuring the energy storage capacity and energy storage charge and discharge power of the photovoltaic in the photovoltaic-storage-direct-flexible building according to the photovoltaic output curve and the first load curve includes: when the peak value of the photovoltaic output curve is greater than the first load curve, determining the remaining power value of the output power of the photovoltaic-storage-direct-flexible building being greater than the consumed power, and the photovoltaic output value matching the peak value of the photovoltaic output curve; using the remaining power value as the energy storage capacity of the photovoltaic, and using the matching photovoltaic output value as the energy storage charge and discharge power of the photovoltaic.

[0067] Specifically, when it is the above-mentioned first scenario, as Figure 3 shown, between 7 o'clock and 16 o'clock, the area formed by the photovoltaic output curve and the first load curve is the remaining power value obtained after the output power is used, and the photovoltaic output value matching the peak value of the photovoltaic output curve is 100 kw. Therefore, the remaining power is used as the energy storage capacity of the photovoltaic, and 100 kw is used as the energy storage charge and discharge power of the photovoltaic.

[0068] Optionally, configuring the energy storage capacity and energy storage charge and discharge power of the photovoltaic in the photovoltaic-storage-direct-flexible building according to the photovoltaic output curve and the load curve includes: when the peak value of the photovoltaic output curve is less than the first load curve, configuring the energy storage capacity of the photovoltaic and the energy storage charge and discharge power of the photovoltaic to zero.

[0069] Among them, when it is the above-mentioned second scenario, as Figure 4 shown, the power output by the photovoltaic can be completely consumed by the winter non-working day load. At this time, the configuration of energy storage for photovoltaic consumption is not considered, that is, the energy storage capacity of the photovoltaic and the energy storage charge and discharge power of the photovoltaic can be configured to zero.

[0070] Embodiment 3

[0071] Figure 5 The following is a flowchart of a photovoltaic-storage collaborative configuration method applied to a photovoltaic-storage-direct-flexible building provided in Embodiment 3 of the present invention. In this embodiment, when it is determined that the energy storage configuration target is peak-valley arbitrage, step S140 is specifically described. As Figure 5 shown, the method includes:

[0072] Step S310: Determine that the load curve is the second load curve matching peak-valley arbitrage.

[0073] Specifically, when the energy storage configuration target is determined to be peak-valley arbitrage, the load curve is determined to be the second load curve on a summer weekday, and the second load curve on a summer weekday can be represented by P oad,summer (t), and there are two scenarios for the configuration target of peak-valley arbitrage:

[0074] The first scenario is that the peak value of the photovoltaic output curve is greater than the second load curve, and the determination basis is the following formula (4)

[0075]

[0076] where P pv,summer (t) is the photovoltaic output on a summer weekday; P load,summer (t) is the load on a summer weekday, and as Figure 6 shown is the curve comparison schematic diagram in the first scenario.

[0077] The second scenario is that the peak value of the photovoltaic output curve is less than the second load curve, and the determination basis is the following formula (5)

[0078]

[0079] As Figure 7 shown, it is the curve comparison schematic diagram in the second scenario.

[0080] Step S320: Configure the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current building according to the photovoltaic output curve and the second load curve.

[0081] Optionally, configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current building according to the photovoltaic output curve and the second load curve includes: when the peak value of the photovoltaic output curve is greater than the second load curve, determining the first power consumption of the photovoltaic-storage-direct-current building within the first specified time range in the case of no sunlight, and the first power value corresponding to the peak value of the second load curve within the first specified time range; taking the first power consumption as the energy storage capacity of the photovoltaic, and taking the first power value as the energy storage charge-discharge power of the photovoltaic; where the first specified time range matches the peak period of the electricity price in the case of no sunlight.

[0082] Specifically, when it is the first scenario as described above, as Figure 6As shown, there is a relatively large amount of photovoltaics in the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission. In this scenario, energy storage can be used to charge during the night valley period and discharge during the evening peak period, that is, one charge and one discharge. At this time, the first power consumption of the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission within the first specified time range is determined. Since the first specified time range matches the electricity price peak period under no sunlight conditions, the first specified time range can specifically be from 17:00 to 19:00. At this time, the photovoltaic output curve is basically close to zero. Therefore, the area formed by the second load curve and the horizontal axis can be taken as the first power consumption. In addition, the first power value corresponding to the peak value of the second load curve within the range of 17:00 to 19:00 is 150 kw. Thus, 150 kw is taken as the energy storage charge-discharge power of the photovoltaics.

[0083] Optionally, according to the photovoltaic output curve and the second load curve, configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission, including: when the peak value of the photovoltaic output curve is less than the second load curve, determine the first power consumption of the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission within the first specified time range under no sunlight conditions, and the first power value corresponding to the second load curve within the first specified time range; determine the second power consumption when the power consumption of the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission within the second specified time range under sunlight conditions is greater than the output power, and the second power value corresponding to the peak value difference between the photovoltaic curve and the second load curve, where the second specified time range matches the electricity price peak period under sunlight conditions; configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission according to the first power consumption, the second power consumption, the first power value, and the second power value.

[0084] Optionally, configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission according to the first power consumption, the second power consumption, the first power value, and the second power value, including: determine the power consumption with the larger value between the first power consumption and the second power consumption, and take the power consumption with the larger value as the energy storage capacity of the photovoltaics; determine the power value with the larger value between the first power value and the second power value, and take the power value with the larger value as the energy storage charge-discharge power of the photovoltaics.

[0085] Specifically, when it is the above-mentioned second scenario, as Figure 7 shown, in this scenario, energy storage can be fully utilized to charge during the night valley period, discharge during the daytime peak period, charge during the noon flat period, and discharge during the evening peak period, that is, two charges and two discharges. At this time, the first power consumption of the building with integrated photovoltaics, energy storage, DC power supply, and flexible AC power transmission within the first specified time range is determined. The first specified time range matches the electricity price peak period under no sunlight conditions. Therefore, the first specified time range can specifically be from 17:00 to 19:00. Since the photovoltaic output curve is basically close to zero at this time, the area formed by the second load curve and the horizontal axis can be taken as the first power consumption of 300 kw. The first power value corresponding to the peak value of the second load curve within the range of 17:00 to 19:00 is 150 kw.

[0086] Similarly, the second power consumption in which the power consumption of the photovoltaic-storage-direct-current-soft building is greater than the power output within the second specified time range will also be determined. The second specified time range matches the peak electricity price under sunlight. For example, the second specified time range can specifically be from 10:00 to 12:00. Since the photovoltaic output curve is not zero at this time, the area formed by the second load curve and the photovoltaic curve is taken as the second power consumption of 200 kw. The second power value corresponding to the peaks of the photovoltaic output curve and the second load curve within the range from 10:00 to 12:00 is 200 kw - 100 kw = 100 kw. Since the first power consumption is greater than the second power consumption, it is determined that 300 kw is used as the energy storage capacity of the photovoltaic; since the first power value is greater than the second power value, 100 kw is used as the energy storage charge-discharge power of the photovoltaic. Of course, in this embodiment, only examples are given, and the specific values of the energy storage capacity and the energy storage charge-discharge power of the photovoltaic are not limited.

[0087] Embodiment 4

[0088] Figure 8 FIG. is a schematic structural diagram of a photovoltaic-storage collaborative configuration device applied to a photovoltaic-storage-direct-current-soft building provided in Embodiment 4 of the present invention. As Figure 8 shown, the device includes: a photovoltaic output curve acquisition module 410, an energy storage configuration target determination module 420, a load curve selection module 430, and a configuration module 440.

[0089] The photovoltaic output curve acquisition module 410 is configured to acquire the photovoltaic output curve of the photovoltaic-storage-direct-current-soft building, where the photovoltaic output curve is used to represent the power output status of the photovoltaic-storage-direct-current-soft building changing with time;

[0090] The energy storage configuration target determination module 420 is configured to determine the energy storage configuration target specified by the user, and the energy storage configuration target includes maximizing the consumption of photovoltaic power or performing peak-valley arbitrage;

[0091] The load curve selection module 430 is configured to select a load curve according to the energy storage configuration target, where the load curve is used to represent the power consumption status of the photovoltaic-storage-direct-current-soft building changing with time;

[0092] The configuration module 440 is configured to configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the load curve.

[0093] Optionally, the photovoltaic output curve acquisition module includes:

[0094] An installed capacity determination sub-module, configured to determine the installed capacity of the photovoltaic-storage-direct-current-soft building;

[0095] A photovoltaic output curve determination sub-module, configured to obtain the photovoltaic output curve according to the installed capacity and the solar irradiance value.

[0096] Optionally, an installation capacity determination sub-module is used to obtain the effective available area, the unit photovoltaic occupied area, and the unit photovoltaic capacity of the photovoltaic-storage-direct-current-soft building;

[0097] Determine the number of unit photovoltaics according to the effective available area and the unit photovoltaic occupied area;

[0098] Determine the installation capacity of the photovoltaic-storage-direct-current-soft building according to the number of unit photovoltaics and the unit photovoltaic capacity.

[0099] Optionally, a energy storage configuration target determination module is used to obtain the load curve as the first load curve when the energy storage configuration target is to maximize the consumption of photovoltaics, where the first load curve is collected on a typical day when the daily power consumption of the photovoltaic-storage-direct-current-soft building is less than a preset threshold;

[0100] When the energy storage configuration target is peak-valley arbitrage, the load curve is the second load curve, where the second load curve is collected on a typical day when the daily power consumption of the photovoltaic-storage-direct-current-soft building is greater than the preset threshold.

[0101] Optionally, the configuration module includes:

[0102] A first load curve determination sub-module is used to determine that the load curve is the first load curve matching the maximum consumption of photovoltaics;

[0103] A first configuration sub-module is used to configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the first load curve.

[0104] Optionally, the first configuration sub-module is used to determine the remaining power value when the output power of the photovoltaic is greater than the first load curve, that is, the output power of the photovoltaic-storage-direct-current-soft building is greater than the consumed power, and the photovoltaic output value matching the peak of the photovoltaic output curve;

[0105] Use the remaining power value as the energy storage capacity of the photovoltaics and the matching photovoltaic output value as the energy storage charge-discharge power of the photovoltaics.

[0106] Optionally, the first configuration sub-module is used to configure the energy storage capacity of the photovoltaics and the energy storage charge-discharge power of the photovoltaics to zero when the peak of the photovoltaic output curve is less than the first load curve.

[0107] Optionally, the configuration module includes:

[0108] A second load curve determination sub-module is used to determine that the load curve is the second load curve matching the peak-valley arbitrage;

[0109] A second configuration sub-module is used to configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaics in the photovoltaic-storage-direct-current-soft building according to the photovoltaic output curve and the second load curve.

[0110] Optionally, a second configuration sub-module is configured to, when the peak value of the photovoltaic output curve is greater than the second load curve, determine the first power consumption of the photovoltaic-plus-energy-storage-and-direct-current-soft building within a first specified time range under the condition of no sunlight, and the first power value corresponding to the peak value of the second load curve within the first specified time range;

[0111] Use the first power consumption as the energy storage capacity of the photovoltaic, and use the first power value as the energy storage charge-discharge power of the photovoltaic;

[0112] Wherein, the first specified time range matches the peak period of the electricity price under the condition of no sunlight.

[0113] Optionally, a second configuration sub-module is configured to, when the peak value of the photovoltaic output curve is less than the second load curve, determine the first power consumption of the photovoltaic-plus-energy-storage-and-direct-current-soft building within a first specified time range under the condition of no sunlight, and the first power value corresponding to the second load curve within the first specified time range;

[0114] Determine the second power consumption when the power consumption of the photovoltaic-plus-energy-storage-and-direct-current-soft building within a second specified time range under the condition of sunlight is greater than the output power, and the second power value corresponding to the peak difference between the photovoltaic curve and the second load curve, wherein the second specified time range matches the peak period of the electricity price under the condition of sunlight;

[0115] Configure the energy storage capacity of the photovoltaic and the energy storage charge-discharge power in the photovoltaic-plus-energy-storage-and-direct-current-soft building according to the first power consumption, the second power consumption, the first power value, and the second power value.

[0116] Optionally, the second configuration sub-module is further configured to determine the power consumption with a larger value between the first power consumption and the second power consumption, and use the power consumption with a larger value as the energy storage capacity of the photovoltaic;

[0117] Determine the power value with a larger value between the first power value and the second power value, and use the power value with a larger value as the energy storage charge-discharge power of the photovoltaic.

[0118] The photovoltaic-plus-energy-storage collaborative configuration device for a photovoltaic-plus-energy-storage-and-direct-current-soft building provided by the embodiments of the present invention can execute the photovoltaic-plus-energy-storage collaborative configuration method for a photovoltaic-plus-energy-storage-and-direct-current-soft building provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0119] Embodiment 5

[0120] Figure 9The schematic structural diagram of an electronic device 10 that can be used to implement the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0121] As Figure 9 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0122] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0123] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the optical storage collaborative configuration method applied to the optical storage direct flexible building.

[0124] In some embodiments, the method for collaborative configuration of optical storage applied to a building with optical storage, DC power, flexibility, and building integration can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for collaborative configuration of optical storage applied to a building with optical storage, DC power, flexibility, and building integration described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for collaborative configuration of optical storage applied to a building with optical storage, DC power, flexibility, and building integration by any other suitable means (e.g., by means of firmware).

[0125] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a dedicated or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0126] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a dedicated computer, or other programmable data processing device, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0127] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0128] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0129] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by 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), a blockchain network, and the Internet.

[0130] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0131] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0132] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for collaborative configuration of optical storage in a building with optical storage, direct current, and flexible power, characterized in that, Including: Obtaining the photovoltaic output curve of a building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization, where the photovoltaic output curve is used to represent the power output status of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization changing over time; Determining the energy storage configuration goal specified by the user, where the energy storage configuration goal includes maximizing the consumption of photovoltaics or peak-valley arbitrage; Selecting a load curve according to the energy storage configuration goal, where the load curve is used to represent the power consumption status of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization changing over time; Configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the photovoltaic output curve and the load curve; The selecting the load curve according to the energy storage configuration goal includes: when the energy storage configuration goal is maximizing the consumption of photovoltaics, the load curve is a first load curve, where the first load curve is collected on a typical day when the daily power consumption of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization is less than a preset threshold; The configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the photovoltaic output curve and the load curve includes: determining that the load curve is the first load curve matching the maximizing the consumption of photovoltaics; when judging whether the peak value of the photovoltaic output curve is greater than the first load curve, if so, determining the remaining power value of the output power of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization being greater than the consumption power, and the photovoltaic output value matching the peak value of the photovoltaic output curve, taking the remaining power value as the energy storage capacity of the photovoltaics, and taking the matching photovoltaic output value as the energy storage charge-discharge power of the photovoltaics, otherwise, configuring the energy storage capacity of the photovoltaics and the energy storage charge-discharge power of the photovoltaics to zero.

2. The method according to claim 1, wherein The obtaining the photovoltaic output curve of a building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization includes: Obtaining the effective available area, unit photovoltaic occupied area, and unit photovoltaic capacity of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization; Determining the number of unit photovoltaics according to the effective available area and the unit photovoltaic occupied area; Determining the installed capacity of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the number of unit photovoltaics and the unit photovoltaic capacity; Obtaining the photovoltaic output curve according to the installed capacity and the solar irradiance value.

3. The method according to claim 1, characterized in that, The selecting the load curve according to the energy storage configuration goal includes: When the energy storage configuration goal is peak-valley arbitrage, the load curve is a second load curve, where the second load curve is collected on a typical day when the daily power consumption of the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization is greater than a preset threshold.

4. The method according to claim 3, wherein The configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the photovoltaic output curve and the load curve includes: Determining that the load curve is the second load curve matching the peak-valley arbitrage; Configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the photovoltaic output curve and the second load curve.

5. The method according to claim 4, wherein The configuring the energy storage capacity and energy storage charge-discharge power of the photovoltaics in the building with integrated photovoltaics, energy storage, DC power distribution, and flexible AC utilization according to the photovoltaic output curve and the second load curve includes: When the peak value of the photovoltaic output curve is greater than the second load curve, determine the first power consumption of the photovoltaic-energy-storage-direct-current-flexible building within the first specified time range under the condition of no sunlight, and the first power value corresponding to the peak value of the second load curve within the first specified time range; Use the first power consumption as the energy storage capacity of the photovoltaic, and use the first power value as the energy storage charge-discharge power of the photovoltaic; Wherein, the first specified time range matches the peak period of the electricity price under the condition of no sunlight.

6. The method according to claim 4, wherein The configuration of the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the photovoltaic-energy-storage-direct-current-flexible building according to the photovoltaic output curve and the second load curve includes: When the peak value of the photovoltaic output curve is less than the second load curve, determine the first power consumption of the photovoltaic-energy-storage-direct-current-flexible building within the first specified time range under the condition of no sunlight, and the first power value corresponding to the second load curve within the first specified time range; Determine the second power consumption when the power consumption of the photovoltaic-energy-storage-direct-current-flexible building is greater than the output power within the second specified time range under the condition of sunlight, and the second power value corresponding to the peak value difference between the photovoltaic output curve and the second load curve, wherein the second specified time range matches the peak period of the electricity price under the condition of sunlight; Configure the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the photovoltaic-energy-storage-direct-current-flexible building according to the first power consumption, the second power consumption, the first power value and the second power value.

7. The method according to claim 6, wherein The configuration of the energy storage capacity and the energy storage charge-discharge power of the photovoltaic in the photovoltaic-energy-storage-direct-current-flexible building according to the first power consumption, the second power consumption, the first power value and the second power value includes: Determine the power consumption with a larger value between the first power consumption and the second power consumption, and use the power consumption with the larger value as the energy storage capacity of the photovoltaic; Determine the power value with a larger value between the first power value and the second power value, and use the power value with the larger value as the energy storage charge-discharge power of the photovoltaic.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a processor to implement the method according to any one of claims 1-7 when executed.

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