Distributed energy control method and system based on local area network, and community cloud server

Abstract

The invention provides a distributed energy control method and system based on a local area network and a community cloud server. Relates to the technical field of energy control. In view of the problem of large land area caused by the fact that community power utilization is controlled by setting an edge server at present, the invention provides a distributed energy control method based on a local area network, and the method comprises the steps: obtaining a first scheduling configuration instruction, and configuring a first scheduling mode according to the first scheduling configuration instruction; under the condition that the first scheduling mode is preferential power grid scheduling, a first community scheduling strategy is determined based on the power grid electricity price, the electric energy supply amount and the community load electricity consumption; under the condition that the first scheduling mode is preferential community sharing, determining a second community scheduling strategy based on the power grid electricity price, the electric energy supply amount and the community load electricity consumption; based on the first community scheduling strategy or the second community scheduling strategy, the electric energy of the indoor energy storage equipment is scheduled; the method can reduce abandoned light and electricity, and improves the community energy utilization rate.

Description

Technical Field

[0001] The present application relates to the field of energy control technology, and in particular to a distributed energy control method, system and community cloud server based on a local area network. Background Art

[0002] At present, some areas still face problems and challenges of unstable power supply and low quality. Therefore, in some relatively small cities with few residents and low building density, every household installs solar photovoltaic panels and energy storage equipment to meet electricity demand; in the same community, there is a large amount of abandoned light and electricity, resulting in a waste of resources. Summary of the invention

[0003] According to various embodiments of the present application, a distributed energy control method, system and community cloud server based on a local area network are provided; the abandoned light and electricity can be reduced and the energy utilization rate of the community can be improved.

[0004] In a first aspect, the present application provides a distributed energy control method based on a local area network, which is applied to a community cloud server; the method includes: obtaining a first scheduling configuration instruction, and configuring a first scheduling mode according to the first scheduling configuration instruction; when the first scheduling mode is priority grid scheduling, determining a first community scheduling strategy based on grid electricity prices, electricity supply, and community load power consumption; when the first scheduling mode is priority community sharing, determining a second community scheduling strategy based on grid electricity prices, electricity supply, and community load power consumption; based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to an in-building energy storage device, the first scheduling instruction being used to instruct the in-building energy storage device to schedule the power of an indoor energy storage device.

[0005] Through the above method, the community cloud server dispatches the energy storage equipment in the building, and the energy storage equipment in the building dispatches the electricity of the indoor energy storage equipment. The unit is divided based on the community, building, and household, and the energy distribution of the energy storage equipment is managed, which reduces the phenomenon of abandoned light and electricity in the community, realizes the reasonable planning and allocation of community energy, and improves the effective utilization rate of energy. It has strong ease of use and practicality.

[0006] In a possible implementation of the first aspect, the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

[0007] Through the above method, the server is integrated into the energy storage device to improve the system integration. There is no need to set up the edge server in a special location, which reduces the server size and floor space. At the same time, a distributed architecture is adopted. When the energy storage device fails, it can be quickly located and repaired without affecting the use of other devices and the entire system.

[0008] In a possible implementation of the first aspect, sending a first scheduling instruction to an in-building energy storage device based on the first community scheduling strategy or the second community scheduling strategy includes:

[0009] When the power price of the power grid is higher than the first power price threshold, the power consumption of the community load is lower than the first power consumption threshold, and the power supply is higher than the first power supply threshold, in response to the dispatching instruction sent by the power grid, a first dispatching instruction is sent to the energy storage device in the building. The first dispatching instruction is used to instruct the energy storage device in the building to dispatch the power of the indoor energy storage device to the power grid.

[0010] Through the above method, when the power price of the power grid is high, the community's electricity demand is low, and the power supply is sufficient, by dispatching the power of the energy storage equipment in the building to the power grid, the excess power resources can be effectively utilized, the supply and demand of the power grid can be balanced, and the effective utilization rate of energy can be improved.

[0011] In a possible implementation of the first aspect, sending a first scheduling instruction to an in-building energy storage device based on the first community scheduling strategy or the second community scheduling strategy includes:

[0012] When the power price of the power grid is lower than the first power price threshold, or the power consumption of the community load is higher than the first power consumption threshold and the power supply is lower than the first power supply threshold, a first dispatching instruction is sent to the in-building energy storage device, and the first dispatching instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the community load or other in-building energy storage devices in the community.

[0013] Through the above method, when the power price of the power grid is low, the community electricity demand is high or the power supply is insufficient, by dispatching the power of the energy storage equipment in the building to the community load or other energy storage equipment in the building, the stability and reliability of the community power supply can be guaranteed, the electricity cost can be reduced, and the energy distribution can be optimized to improve energy utilization efficiency.

[0014] In a second aspect, the present application provides a distributed energy control method based on a local area network, which is applied to an energy storage device in a building; the method comprises:

[0015] Obtain a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction; when the second scheduling mode is priority community scheduling, determine the first battery scheduling strategy based on the power grid electricity price, power supply, in-building load power consumption, and the community scheduling strategy sent by the community cloud server; when the second scheduling mode is priority in-building scheduling, determine the second battery scheduling strategy based on the power grid electricity price, power supply, in-building load power consumption, and the community scheduling strategy sent by the community cloud server; schedule the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy.

[0016] In a possible implementation of the second aspect, the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

[0017] In a possible implementation of the second aspect, scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes:

[0018] When the power price of the power grid is higher than the second power price threshold, the power consumption of the load in the building is lower than the second power consumption threshold, and the power supply is higher than the second power supply threshold, in response to the first scheduling instruction sent by the community cloud server, the power of the indoor energy storage device is dispatched to the power grid, the community load or other energy storage devices in the building in the community.

[0019] In a possible implementation of the second aspect, scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes:

[0020] When the grid electricity price is lower than the second electricity price threshold, or the load electricity consumption in the building is higher than the second electricity consumption threshold and the power supply is lower than the second power supply threshold, the electric energy of the indoor energy storage device is dispatched to other indoor energy storage devices in the building.

[0021] In a possible implementation of the second aspect, scheduling electric energy of an indoor energy storage device includes:

[0022] A second scheduling instruction is sent to the indoor energy storage device, where the second scheduling instruction is used to instruct the indoor energy storage device to discharge.

[0023] In a third aspect, the present application provides a distributed energy control method based on a local area network, which is applied to indoor energy storage equipment; the method comprises:

[0024] Obtain a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction; when the third scheduling mode is priority for in-building scheduling, determine the first battery usage strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the in-building energy storage equipment; when the third scheduling mode is priority for indoor use, determine the second battery usage strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the in-building energy storage equipment; based on the first battery usage strategy or the second battery usage strategy, control the energy storage battery to discharge or charge; wherein, the battery scheduling strategy of the in-building energy storage equipment is generated based on the community scheduling strategy of the community cloud server.

[0025] In a possible implementation of the third aspect, an indoor energy storage device is integrated with an indoor server, and an in-building energy storage device is integrated with a microserver; the community cloud server and the microserver of the in-building energy storage device are connected based on a local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on a local area network wireless communication.

[0026] In a possible implementation manner of the third aspect, controlling the energy storage battery to discharge or charge based on the first battery usage strategy or the second battery usage strategy includes:

[0027] In the case where the photovoltaic power generation is greater than the power consumption of the indoor load, in response to the second scheduling instruction, the energy storage battery is controlled to discharge; or, in the case where the photovoltaic power generation is greater than the power consumption of the indoor load and the power of the energy storage battery is lower than the energy storage power threshold, the energy storage battery is controlled to charge; or, in the case where the photovoltaic power generation is greater than the power consumption of the indoor load and the power of the energy storage battery is greater than the energy storage power threshold, in response to the second scheduling instruction, the energy storage battery is controlled to discharge; or, when the photovoltaic power generation is less than the power consumption of the indoor load, if the grid electricity price is greater than the fourth electricity price threshold or the energy supply is less than the third power supply threshold, the energy storage battery is controlled to discharge.

[0028] In a fourth aspect, the present application provides a distributed energy control system based on a local area network, including a community cloud server, an in-building energy storage device, and an indoor energy storage device; wherein the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server;

[0029] The community cloud server is used to respond to the dispatching instruction of the power grid and send a first dispatching instruction to the energy storage device in the building, where the first dispatching instruction is used to instruct the energy storage device in the building to dispatch the electric energy of the indoor energy storage device;

[0030] The in-building energy storage device is used to respond to the first dispatching instruction of the community cloud server and send a second dispatching instruction to the indoor energy storage device based on the microserver to dispatch the electric energy of the indoor energy storage device;

[0031] The indoor energy storage device is used to respond to the second scheduling instruction of the in-building energy storage device and control the charging or discharging of the energy storage battery based on the indoor server.

[0032] In a fifth aspect, the present application provides a distributed energy control device based on a local area network, comprising:

[0033] A first acquisition unit, configured to acquire a first scheduling configuration instruction, and configure a first scheduling mode according to the first scheduling configuration instruction;

[0034] A first strategy unit is used to determine a first community dispatching strategy based on a power grid price, power supply, and community load power consumption when the first dispatching mode is priority power grid dispatching; and to determine a second community dispatching strategy based on the power grid price, power supply, and community load power consumption when the first dispatching mode is priority community sharing;

[0035] The first scheduling unit is used to send a first scheduling instruction to the in-building energy storage device based on the first community scheduling strategy or the second community scheduling strategy, wherein the first scheduling instruction is used to instruct the in-building energy storage device to schedule the electric energy of the indoor energy storage device.

[0036] In a sixth aspect, the present application provides a distributed energy control device based on a local area network, comprising:

[0037] A second acquisition unit, used to acquire a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction;

[0038] A second strategy unit is used to determine the first battery scheduling strategy based on the power grid price, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server when the second scheduling mode is the priority community scheduling; when the second scheduling mode is the priority in-building scheduling, determine the second battery scheduling strategy based on the power grid price, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server;

[0039] The second scheduling unit is used to schedule the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy.

[0040] In a seventh aspect, the present application provides a distributed energy control device based on a local area network, comprising:

[0041] A third acquisition unit, used to acquire a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction;

[0042] A third strategy unit is used to determine the first battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage equipment in the building when the third scheduling mode is priority for in-building scheduling; and determine the second battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage equipment in the building when the third scheduling mode is priority for indoor use;

[0043] A battery control unit is used to control the energy storage battery to discharge or charge based on the first battery usage strategy or the second battery usage strategy; wherein the battery scheduling strategy of the energy storage device in the building is generated based on the community scheduling strategy of the community cloud server.

[0044] In an eighth aspect, the present application provides a community cloud server, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any one of the methods described in the first aspect when executing the computer program.

[0045] In a ninth aspect, the present application provides an energy storage device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the method described in any one of the second aspect or the third aspect when executing the computer program.

[0046] In a tenth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method described in any one of the first aspect, the second aspect, and the third aspect is implemented.

[0047] In an eleventh aspect, the present application provides a computer program product. When the computer program product is run on a device, the device executes any one of the methods in the first, second, and third aspects above.

[0048] It can be understood that the beneficial effects of the second to eleventh aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the architecture of a distributed energy control system based on a local area network provided in an embodiment of the present application;

[0050] Figure 2 A schematic diagram of the implementation flow of a distributed energy control method based on a local area network provided in an embodiment of the present application;

[0051] Figure 3 A schematic diagram of the implementation flow of a distributed energy control method based on a local area network provided in an embodiment of the present application;

[0052] Figure 4 A schematic diagram of the implementation flow of a distributed energy control method based on a local area network provided in an embodiment of the present application;

[0053] Figure 5 A schematic diagram of the implementation process of the overall energy control method provided in the embodiment of the present application;

[0054] Figure 6 A schematic diagram of the structure of a distributed energy control device based on a local area network provided in an embodiment of the present application;

[0055] Figure 7 A schematic diagram of the structure of a distributed energy control device based on a local area network provided in an embodiment of the present application;

[0056] Figure 8 A schematic diagram of the structure of a distributed energy control device based on a local area network provided in an embodiment of the present application;

[0057] Fig. 9 A schematic diagram of the structure of a community cloud server provided in an embodiment of the present application;

[0058] Fig.10 A schematic diagram of the structure of an energy storage device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0061] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0062] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0063] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0064] At present, community electricity control requires the centralized deployment of edge servers to control community loads and energy storage through wired or wireless means; the setting of edge servers requires the selection of a special placement location, which occupies a large area; and when the installed server fails, the system needs to be shut down for maintenance, which affects the operation of the entire system; the existing energy control is mainly used in the fields of power frequency regulation, power peak regulation, large power grid stability control, and power market transactions on the power generation side; it is unable to allocate and control community energy.

[0065] In response to the above technical problems, the embodiment of the present application proposes a distributed energy control method based on a local area network, which solves the problem of finding a special location to arrange the edge server for the internal energy allocation and control of the community on the user side, integrates the server into the energy storage device, improves the system integration, reduces the server volume, and reduces the floor space; and the system adopts a distributed architecture, when the energy storage device fails, it can be located and repaired in time without affecting other devices and the use of the entire system; through management units divided by households, buildings, and communities, a strategy for internal energy allocation and control in the community is provided, the phenomenon of abandoned light and electricity in the community is reduced, and the community's energy self-sufficiency is ensured; and the divided units communicate through the local area network, without the need for wired connection, reducing the cost of laying network cables.

[0066] The overall architecture of a distributed energy control system based on a local area network provided in an embodiment of the present application is introduced below.

[0067] See also Figure 1 , Figure 1 A schematic diagram of the architecture of a distributed energy control system based on a local area network provided in an embodiment of the present application; Figure 1As shown, the system includes a community cloud server 10 and an energy storage device 20. The energy storage device 20 is distributed in each household, each building includes multiple households, and one energy storage device in each building is set as an in-building energy storage device, and the other energy storage devices are used as indoor energy storage devices.

[0068] Exemplarily, the indoor energy storage device serves as a home energy control center and is integrated with an indoor server. Based on the indoor server, indoor energy control can be performed based on factors such as the power or power consumption of the indoor load 21 (such as lights, air conditioners, water heaters, etc.), photovoltaic power generation, power supply, grid electricity prices, etc.

[0069] Exemplarily, each building includes multiple households, and the energy storage device of one household is used as the server host of all indoor energy storage devices in the building (i.e., the indoor energy storage device), and the other indoor energy storage devices are used as client slaves. The indoor energy storage device is integrated with a micro server 201. Based on the micro server 201, according to the power or power consumption of the load 23 in the building (such as lights, elevators, etc.), the power supply, and the power price of the power grid, the indoor energy storage device is dispatched to realize the energy flow in the building.

[0070] Exemplarily, the community cloud server 10 acts as the host, and the in-building energy storage device of each building acts as the client; the in-building energy storage device receives the dispatch of the community cloud server 10; the community cloud server 10 dispatches the in-building energy storage device of each building according to the power or power consumption, power supply, and grid electricity price of the community load (such as charging piles, street lights, etc.), and the in-building energy storage device of each building then dispatches the indoor energy storage device to realize the energy flow within the community.

[0071] like Figure 1 As shown, each household also includes photovoltaic equipment 22, and the energy storage equipment is also integrated with a WiFi amplifier to enhance the WiFi signal in the community and ensure that all equipment in the building can receive the community LAN. The indoor server of the indoor energy storage equipment, the micro server of the building energy storage equipment, the indoor load, the building load and the community load can all communicate with the community cloud server based on the LAN, and communicate with each other.

[0072] Based on the above architecture, the specific implementation process of the distributed energy control method based on the local area network is further introduced below through embodiments.

[0073] See also Figure 2 , Figure 2 The following is a schematic diagram of the implementation process of the distributed energy control method based on a local area network provided in the embodiment of the present application. Figure 2 As shown, the execution subject of this method can be Figure 1 The community cloud server 10 shown in FIG. 1 may include the following steps:

[0074] S201: Obtain a first scheduling configuration instruction, and configure a first scheduling mode according to the first scheduling configuration instruction.

[0075] In the embodiments of the present application, Figure 5 As shown, in the case of a community cloud server failure, the grid is prohibited from dispatching the community cloud server. In the case of a normal operation of the community cloud server, it is determined whether the community cloud server accepts grid dispatch based on the configuration information in the dispatch configuration instruction. If the configuration information indicates that the grid dispatch is not accepted, the grid is prohibited from dispatching the community cloud server. In the case that the configuration information indicates that the grid dispatch is accepted, it is further configured whether to give priority to grid dispatch or community sharing.

[0076] Exemplarily, the first scheduling configuration instruction may be an instruction input by a user, and is used to configure the scheduling mode of the community cloud server. The community cloud server communicates with the power grid and the in-building energy storage device in the community based on the local area network, and can configure the energy scheduling mode based on the first scheduling configuration instruction, such as a mode that prioritizes responding to power grid scheduling or a mode that prioritizes energy sharing in the community; thereby generating corresponding scheduling strategies based on different scheduling modes; and scheduling the electric energy in the community based on the corresponding scheduling strategies.

[0077] S202, when the first dispatching mode is priority grid dispatching, determining a first community dispatching strategy based on grid electricity price, power supply, and community load power consumption.

[0078] In an embodiment of the present application, thresholds corresponding to respective parameters are configured, for example, a first electricity price threshold corresponding to the grid electricity price, a first power supply threshold corresponding to the electric energy supply, and a first power consumption threshold corresponding to the community load power consumption are set; wherein, for different scheduling modes, values ​​of different sizes of each threshold are configured, such as a first group of thresholds composed of first values ​​of each threshold (such as the first value of the first electricity price threshold corresponding to the grid electricity price, the first value of the first power supply threshold corresponding to the electric energy supply, and the first value of the first power consumption threshold corresponding to the community load power consumption), and a second group of thresholds composed of second values ​​of each threshold (such as the second value of the first electricity price threshold corresponding to the grid electricity price, the second value of the first power supply threshold corresponding to the electric energy supply, and the second value of the first power consumption threshold corresponding to the community load power consumption).

[0079] In the case of priority grid dispatch, a corresponding first community dispatch strategy is generated based on the first set of thresholds corresponding to each configured parameter. The first community dispatch strategy is used for the community cloud server to dispatch energy from the community to the grid when each parameter meets the first set of thresholds, so as to realize the power supply to the grid while ensuring the power demand in the community.

[0080] S203, when the first dispatching mode is community sharing priority, determine a second community dispatching strategy based on the power price of the power grid, the power supply, and the power consumption of the community load.

[0081] In the embodiment of the present application, when the scheduling mode is to prioritize community sharing, a second set of thresholds corresponding to each parameter is configured, such as the second value of the first electricity price threshold corresponding to the power grid price, the second value of the first power supply threshold corresponding to the power supply, and the second value of the first power consumption threshold corresponding to the community load power consumption; in the case of priority grid scheduling, a corresponding second community scheduling strategy is generated based on the configured second set of thresholds. The second community scheduling strategy is used for scheduling energy sharing within the community by the community cloud server when each parameter meets the set second set of thresholds, so as to ensure that the power demand within the community is met first.

[0082] Exemplarily, the second value of the first electricity price threshold may be higher than its first value, the second value of the first electricity usage threshold may be lower than its first value, and the second value of the first power supply threshold may be greater than its first threshold, thereby generating different scheduling strategies based on different configured scheduling modes.

[0083] In actual applications, thresholds can also be configured based on actual application scenarios, so that different scheduling strategies can be generated based on the configured thresholds to achieve more efficient use of electricity while meeting community electricity needs.

[0084] S204, based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to the in-building energy storage device, the first scheduling instruction is used to instruct the in-building energy storage device to schedule the electric energy of the indoor energy storage device.

[0085] Among them, the in-building energy storage equipment is integrated with a microserver, and the indoor energy storage equipment is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage equipment are connected based on LAN wireless communication, and the microserver of the in-building energy storage equipment and the indoor server of the indoor energy storage equipment are connected based on LAN wireless communication.

[0086] In an embodiment of the present application, the first dispatch instruction may be generated by the community cloud server after receiving the dispatch instruction issued by the power grid, or may be generated based on an energy dispatch request sent by energy storage devices in other buildings in the community.

[0087] For example, in the dispatching mode of priority grid dispatching, based on the first community dispatching strategy, when various parameters meet the threshold, in response to the dispatching instruction of the grid, a first dispatching instruction is sent to the in-building energy storage device, instructing the in-building energy storage device to dispatch the rated power of the indoor energy storage device.

[0088] For another example, in a scheduling mode with priority community sharing, based on the second community scheduling strategy, when various parameters meet the threshold, in response to energy scheduling requests from any one or more in-building energy storage devices, a first scheduling instruction is sent to other in-building energy storage devices in the community, instructing other in-building energy storage devices to schedule the energy of indoor energy storage devices.

[0089] In some embodiments, based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to the energy storage device in the building includes:

[0090] When the power price of the power grid is higher than the first power price threshold, the power consumption of the community load is lower than the first power consumption threshold, and the power supply is higher than the first power supply threshold, in response to the dispatching instruction sent by the power grid, a first dispatching instruction is sent to the in-building energy storage device, and the first dispatching instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the power grid.

[0091] Exemplarily, in a dispatching mode where the community cloud server is configured to prioritize grid dispatching, when the electricity price is higher than the first electricity price threshold (such as 1 yuan / 1 kWh), the electricity in the community can be dispatched to supply the power to the grid; if the community load power consumption is higher than the first power consumption threshold (such as 100kW), it means that the power consumption is high, and it is possible that the electricity generated by itself will not be enough for its own use in the future, so it will not supply power to the grid; at the same time, it can also be combined with whether the power supply is lower than the first power supply threshold (such as 50kW). In some areas, the power grid will reduce the power supply at a specific time, which means that if the photovoltaic equipment installed indoors does not generate electricity in the future, there may be no electricity at all, so when it is lower than the first power supply threshold, it will not supply power to the grid. If the community load power consumption and power supply are normal, that is, the community load power consumption is lower than the first power consumption threshold, the power supply is higher than the first power supply threshold, and the power price of the grid is higher than the first power price threshold, then the community cloud server can dispatch the energy supply of each building to the grid.

[0092] Exemplarily, the first community scheduling strategy and the second community scheduling strategy can be set based on the actual application environment, and the community cloud server controls the energy in the community by integrating various parameters and the available energy of each building.

[0093] In some embodiments, based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to the energy storage device in the building includes:

[0094] When the power price of the power grid is lower than the first power price threshold, or the power consumption of the community load is higher than the first power consumption threshold and the power supply is lower than the first power supply threshold, a first dispatching instruction is sent to the in-building energy storage device, and the first dispatching instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the community load or other in-building energy storage devices in the community.

[0095] Exemplarily, the community cloud server dispatches the comprehensive available energy for each building. For example, if one of the buildings needs 20kWh of energy, and the other buildings can provide 100kWh of energy, then the total available energy for the community cloud server is 100kWh-80kWh. If the power price of the power grid is very low, for example, lower than the first power price threshold (1 yuan per kWh), the community cloud server can also refuse to accept the grid dispatch, and does not need to consider the power supply and community load power consumption; only for the buildings with power shortage, the energy of other buildings is dispatched to supply the buildings with power shortage, so as to realize the efficient use of electricity.

[0096] For example, Figure 5 As shown, the community cloud server sends the generated first community scheduling strategy and the second community scheduling strategy to the in-building energy storage devices of each building. The in-building energy storage devices generate the in-building scheduling strategy based on the scheduling strategy of the community cloud server and the scheduling mode configured by themselves, and schedule the electric energy of the indoor energy storage devices.

[0097] like Figure 3 As shown, the implementation flow diagram of the distributed energy control method based on the local area network provided in the embodiment of the present application is shown, and the execution subject of the method can be Figure 1 The in-building energy storage device shown in the figure may include the following steps:

[0098] S301: Obtain a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction.

[0099] In the embodiments of the present application, Figure 5 As shown, in the case of a failure of the energy storage device in the building, the community cloud server is prohibited from scheduling the energy storage device in the building. In the case of normal operation of the energy storage device in the building, it is determined whether the energy storage device in the building accepts the scheduling of the community cloud server based on the configuration information in the scheduling configuration instruction. If the configuration information indicates that the scheduling of the community cloud server is not accepted, the community cloud server is prohibited from scheduling the energy storage device in the building. In the case where the configuration information indicates that the scheduling of the community cloud server is accepted, it is further configured whether to give priority to the scheduling of the community cloud server or to give priority to the sharing in the building.

[0100] Exemplarily, the second scheduling configuration instruction may be an instruction input by a user, and is used to configure the scheduling mode of the energy storage device in the building. The energy storage device in the building is integrated with a microserver, and the microserver communicates with the community cloud server and the indoor energy storage device in the building based on the local area network; the microserver can configure the energy scheduling mode based on the second scheduling configuration instruction, such as a mode that gives priority to responding to the scheduling of the community cloud server or a mode that gives priority to the energy scheduling in the building; thereby generating corresponding scheduling strategies based on different scheduling modes; and scheduling the electric energy in the building based on the corresponding scheduling strategies.

[0101] S302, when the second scheduling mode is priority community scheduling, determine the first battery scheduling strategy based on the power price of the power grid, the power supply, the power consumption of the load in the building and the community scheduling strategy sent by the community cloud server.

[0102] In an embodiment of the present application, thresholds corresponding to respective parameters are configured, for example, a second electricity price threshold corresponding to the grid electricity price, a second power supply threshold corresponding to the electric energy supply, and a second power consumption threshold corresponding to the community load power consumption are set; wherein, for different scheduling modes, values ​​of different sizes of each threshold are configured, such as a first group of thresholds composed of first values ​​of each threshold (such as the first value of the second electricity price threshold corresponding to the grid electricity price, the first value of the second power supply threshold corresponding to the electric energy supply, and the first value of the second power consumption threshold corresponding to the community load power consumption), and a second group of thresholds composed of second values ​​of each threshold (such as the second value of the second electricity price threshold corresponding to the grid electricity price, the second value of the second power supply threshold corresponding to the electric energy supply, and the second value of the second power consumption threshold corresponding to the community load power consumption).

[0103] In the case of priority grid dispatch, a corresponding first battery dispatch strategy is generated based on the first set of thresholds corresponding to each configured parameter. The first battery dispatch strategy is used for dispatching energy from the building to other buildings in the community by the energy storage equipment in the building when each parameter meets the set first set of thresholds, so as to realize the flow of electric energy in the community while ensuring the electricity demand in the building, reduce energy waste and improve the utilization rate of electric energy.

[0104] S303, when the second scheduling mode is priority in-building scheduling, determine the second battery scheduling strategy based on the power price of the power grid, the power supply, the power consumption of the load in the building and the community scheduling strategy sent by the community cloud server.

[0105] In the embodiment of the present application, when the dispatching mode is priority dispatching within the building, the second set of thresholds corresponding to each parameter is configured, such as the second value of the second electricity price threshold corresponding to the power grid electricity price, the second value of the second power supply threshold corresponding to the power supply, and the second value of the second power consumption threshold corresponding to the community load power consumption; in the case of priority dispatching within the building, the corresponding second battery dispatching strategy is generated based on the configured second set of thresholds. The second battery dispatching strategy is used to dispatch the energy storage equipment within the building to share energy within the building when each parameter meets the set second set of thresholds, so as to ensure that the power demand within the building is met first.

[0106] For example, the second value of the second electricity price threshold may be higher than its first value, the second value of the second electricity usage threshold may be lower than its first value, and the second value of the second power supply threshold may be greater than its first threshold, thereby generating different battery scheduling strategies (such as Figure 5The community scheduling strategy includes the first community scheduling strategy and the second community scheduling strategy in the above embodiment, and the battery scheduling strategy includes the first battery scheduling strategy and the second battery scheduling strategy in the above embodiment.

[0107] In practical applications, thresholds can also be configured based on actual application scenarios, so that different scheduling strategies can be generated based on the configured thresholds. While meeting the electricity demand in the building, energy scheduling can be achieved within the community, thereby improving the effective use of electricity.

[0108] S304, dispatching electric energy of the indoor energy storage device based on the first battery dispatching strategy or the second battery dispatching strategy.

[0109] Among them, the in-building energy storage equipment is integrated with a microserver, and the indoor energy storage equipment is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage equipment are connected based on LAN wireless communication, and the microserver of the in-building energy storage equipment and the indoor server of the indoor energy storage equipment are connected based on LAN wireless communication.

[0110] In an embodiment of the present application, the in-building energy storage device dispatches and distributes the electric energy of the dispatchable indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy, responds to the scheduling of the community cloud server or responds to the energy request of other indoor energy storage devices in the building, realizes the energy flow in the building and the energy supply in the community, and improves the utilization rate of community energy.

[0111] In some embodiments, scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes:

[0112] When the power price of the power grid is higher than the second power price threshold, the power consumption of the load in the building is lower than the second power consumption threshold, and the power supply is higher than the second power supply threshold, in response to the first scheduling instruction sent by the community cloud server, the power of the indoor energy storage device is dispatched to the power grid, the community load or other energy storage devices in the building in the community.

[0113] Exemplarily, the first dispatching instruction may be generated by the community cloud server after receiving the dispatching instruction issued by the power grid, or may be generated according to the energy dispatching request sent by other in-building energy storage devices in the community. For example, in the dispatching mode of priority power grid dispatching, based on the first community dispatching strategy, when various parameters meet the threshold, in response to the dispatching instruction of the power grid, a first dispatching instruction is sent to the in-building energy storage device, instructing the in-building energy storage device to dispatch the amount of electric energy of the indoor energy storage device. For another example, in the dispatching mode of priority community sharing, based on the second community dispatching strategy, when various parameters meet the threshold, in response to the energy dispatching request of any one or more in-building energy storage devices, a first dispatching instruction is sent to other in-building energy storage devices in the community, instructing other in-building energy storage devices to dispatch the energy of the indoor energy storage device.

[0114] Exemplarily, in a dispatching mode where the energy storage device in the building is configured to prioritize community dispatching, when the power grid electricity price is higher than the second power price threshold (such as 1.1 yuan / 1 kWh), the electric energy in the building can be dispatched to supply power to other buildings, community loads or power grids in the community. At the same time, the load power consumption and power supply in the building can also be judged; if the load power consumption in the building is higher than the second power consumption threshold (such as 20kW), it means that the power consumption is high, and it will not be supplied to other buildings, community loads or power grids in the community. If the power supply is lower than the second supply threshold (such as 10kWh), for example, a community has a total power supply, each building will get a part of the power supply, and the supply is low, it will not be supplied to the community. If the load power consumption in the building is lower than the second power consumption estimate and the power supply is higher than the second supply estimate, it can be supplied to the community for dispatching.

[0115] Accordingly, before responding to the community's power dispatch, the energy storage device in the building calculates the total energy of each household energy storage device and can first replenish the demand of a single household energy storage device. If the grid electricity price is lower than the second electricity price threshold (such as 1.1 yuan / 1 kWh), no electricity will be supplied to the community.

[0116] Among them, the above-mentioned first battery scheduling strategy and second battery scheduling strategy can be set based on the actual application environment, and the in-building energy storage equipment controls the in-building energy by integrating various parameters and the available energy of each indoor energy storage device in the building.

[0117] In some embodiments, scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes:

[0118] When the grid electricity price is lower than the second electricity price threshold, or the load electricity consumption in the building is higher than the second electricity consumption threshold and the power supply is lower than the second power supply threshold, the electric energy of the indoor energy storage device is dispatched to other indoor energy storage devices in the building.

[0119] Exemplarily, if the power price of the power grid is higher than the second power price threshold (such as 1.1 yuan / 1 kWh), continue to judge the load power consumption and power supply in the building; if the load power consumption in the building is higher than the second power consumption threshold (such as 5kW, which is lower than the threshold in the priority community dispatching mode), no power will be supplied to the community. If the power supply is lower than the second power supply threshold (20kWh, which is higher than the threshold in the priority community dispatching mode), no power will be supplied to the community. If the power price is lower than the second power price threshold (such as 1.1 yuan / 1 kWh), no power will be supplied to the community.

[0120] Accordingly, before supplying electricity to the community, the energy storage equipment in the building calculates the total energy of all indoor energy storage devices, first supplements the indoor demand, and then discharges or sells electricity to the outside.

[0121] In some embodiments, dispatching electric energy of an indoor energy storage device includes:

[0122] A second scheduling instruction is sent to the indoor energy storage device, where the second scheduling instruction is used to instruct the indoor energy storage device to discharge.

[0123] Exemplarily, the second dispatch instruction can be generated by the in-building energy storage device based on the first dispatch instruction issued by the community cloud server, or can be generated based on the energy request sent by other in-building energy storage devices in the community, or can be generated by the energy request of other indoor energy storage devices in the building. The in-building energy storage device dispatches the energy of each indoor energy storage device in the building by sending the second dispatch instruction to the indoor energy storage device, thereby realizing the energy flow and sharing between users in the building, as well as the energy supply to each building in the community, or the energy supply to the power grid.

[0124] like Figure 4 As shown, the implementation flow diagram of the distributed energy control method based on the local area network provided in the embodiment of the present application is shown, and the execution subject of the method can be Figure 1 The indoor energy storage device shown in , the method may include the following steps:

[0125] S401: Obtain a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction.

[0126] In the embodiments of the present application, Figure 5 As shown, in the case of a fault in the indoor energy storage device, the use and scheduling of the energy storage battery is prohibited. In the case of normal operation of the indoor energy storage device, it is determined whether the indoor energy storage device accepts the scheduling of the in-building energy storage device based on the configuration information in the scheduling configuration instruction. If the configuration information indicates that the scheduling of the in-building energy storage device is not accepted, the in-building energy storage device is prohibited from scheduling the indoor energy storage device. In the case where the configuration information indicates that the scheduling of the in-building energy storage device is accepted, it is further configured whether to give priority to the scheduling of the in-building energy storage device or to give priority to indoor use.

[0127] Exemplarily, the third scheduling configuration instruction may be an instruction input by a user, and is used to configure a battery usage mode of an indoor energy storage device. The indoor energy storage device is integrated with an indoor server, and the indoor server can communicate with the energy storage device in the building based on a local area network; the indoor server can configure the battery usage mode based on the third scheduling configuration instruction, such as a mode that gives priority to responding to scheduling of the energy storage device in the building or a mode that gives priority to indoor use; thereby generating corresponding battery usage strategies based on different modes; and scheduling the electric energy in the building based on the corresponding battery usage strategies.

[0128] S402, when the third scheduling mode is priority scheduling within the building, a first battery usage strategy is determined based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage equipment within the building.

[0129] S403, when the third scheduling mode is to prioritize indoor use, determine the second battery usage strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and battery scheduling strategy of the energy storage equipment in the building.

[0130] In the embodiment of the present application, in different scheduling modes, the thresholds corresponding to the various parameters are configured, for example, a first electricity price threshold corresponding to the grid electricity price, a first power supply threshold corresponding to the power supply, and a first power consumption threshold corresponding to the community load power consumption are set, and based on the relationship between the various parameters and the thresholds and the size relationship between the various parameters, the battery scheduling strategy (such as Figure 5 As shown), a first battery usage strategy and a second battery usage strategy are generated.

[0131] S405: Based on the first battery usage strategy or the second battery usage strategy, control the energy storage battery to discharge or charge.

[0132] Among them, the battery scheduling strategy of the in-building energy storage equipment is generated based on the community scheduling strategy of the community cloud server; the indoor energy storage equipment is integrated with the indoor server, and the in-building energy storage equipment is integrated with the microserver; the community cloud server and the microserver of the in-building energy storage equipment are connected based on the local area network wireless communication, and the microserver of the in-building energy storage equipment and the indoor server of the indoor energy storage equipment are connected based on the local area network wireless communication.

[0133] In some embodiments, based on the first battery usage strategy or the second battery usage strategy, controlling the energy storage battery to discharge or charge includes:

[0134] In the case where the photovoltaic power generation is greater than the power consumption of the indoor load, in response to the second scheduling instruction, the energy storage battery is controlled to discharge; or, in the case where the photovoltaic power generation is greater than the power consumption of the indoor load and the power of the energy storage battery is lower than the energy storage power threshold, the energy storage battery is controlled to charge; or, in the case where the photovoltaic power generation is greater than the power consumption of the indoor load and the power of the energy storage battery is greater than the energy storage power threshold, in response to the second scheduling instruction, the energy storage battery is controlled to discharge; or, when the photovoltaic power generation is less than the power consumption of the indoor load, if the grid electricity price is greater than the fourth electricity price threshold or the energy supply is less than the third power supply threshold, the energy storage battery is controlled to discharge.

[0135] For example, when the photovoltaic power generation (such as 10kW) exceeds the indoor load power consumption (such as 5kW), if it is configured to prioritize in-building scheduling, the excess electricity (such as 5kW) will be input into the grid and dispatched by the energy storage equipment in the building; if it is configured to prioritize indoor use, the excess electricity (such as 5kW) will be stored in the energy storage battery first. If the battery is full, the excess electricity will be sold to the grid.

[0136] For another example, when the photovoltaic power generation (such as 5kW) is less than the indoor load power consumption (such as 10kW), if the grid electricity price is higher than the third electricity price threshold (such as 1 yuan / 1 kWh) or the power supply is insufficient (such as the grid can only provide 4kW, and there is still a shortfall of 1kW), the indoor energy storage device controls the energy storage battery to discharge and replenish the power. When the photovoltaic and battery power is insufficient, the indoor energy storage device can also send a power dispatch request to the building energy storage device to request the building energy storage device to dispatch the power of other indoor energy storage devices in the building.

[0137] In the embodiment of the present application, the server is integrated into the energy storage device to improve the system integration. There is no need to find a special place to place the server, which reduces the size of the device / server and the floor space. By adopting a distributed architecture, when an energy storage device fails, it can be quickly located and repaired without affecting the use of other devices and the entire system. The energy flow of the entire community will not be affected by server problems. With households, buildings, and communities as basic units, the community's dependence on external electricity is reduced, the community's abandonment of light and electricity is reduced, and community energy self-sufficiency is achieved.

[0138] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0139] Corresponding to the local area network-based distributed energy control method provided in the above embodiment, Figure 6 A schematic diagram of the structure of a local area network-based distributed energy control device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0140] like Figure 6 As shown, the distributed energy control device based on the local area network includes:

[0141] A first acquisition unit 61 is used to acquire a first scheduling configuration instruction and configure a first scheduling mode according to the first scheduling configuration instruction;

[0142] A first strategy unit 62 is configured to determine a first community dispatching strategy based on a grid electricity price, an electric energy supply, and a community load power consumption when the first dispatching mode is priority grid dispatching; and to determine a second community dispatching strategy based on the grid electricity price, the electric energy supply, and the community load power consumption when the first dispatching mode is priority community sharing;

[0143] The first scheduling unit 63 is used to send a first scheduling instruction to the in-building energy storage device based on the first community scheduling strategy or the second community scheduling strategy, where the first scheduling instruction is used to instruct the in-building energy storage device to schedule the electric energy of the indoor energy storage device.

[0144] In a possible implementation, the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

[0145] In a possible implementation, the first dispatching unit 63 is further used to send a first dispatching instruction to the in-building energy storage device in response to a dispatching instruction sent by the power grid when the power price of the power grid is higher than a first power price threshold, the power consumption of the community load is lower than a first power consumption threshold, and the power supply is higher than a first power supply threshold. The first dispatching instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the power grid.

[0146] In a possible implementation, the first dispatching unit 63 is further used to send a first dispatching instruction to the in-building energy storage device when the power price of the power grid is lower than a first power price threshold, or the power consumption of the community load is higher than a first power consumption threshold, and the power supply is lower than a first power supply threshold. The first dispatching instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the community load or other in-building energy storage devices in the community.

[0147] Corresponding to the local area network-based distributed energy control method provided in the above embodiment, Figure 7 A schematic diagram of the structure of a local area network-based distributed energy control device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0148] like Figure 7 As shown, the distributed energy control device based on the local area network includes:

[0149] A second acquisition unit 71, configured to acquire a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction;

[0150] The second strategy unit 72 is used to determine the first battery scheduling strategy based on the power grid price, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server when the second scheduling mode is the priority community scheduling; when the second scheduling mode is the priority building scheduling, determine the second battery scheduling strategy based on the power grid price, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server;

[0151] The second scheduling unit 73 is used to schedule the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy.

[0152] In a possible implementation, the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

[0153] In a possible implementation, the second scheduling unit 73 is also used to dispatch the electric energy of the indoor energy storage device to the power grid, the community load or other energy storage devices in the building in response to the first scheduling instruction sent by the community cloud server when the power price of the power grid is higher than the second power price threshold, the power consumption of the load in the building is lower than the second power consumption threshold, and the power supply is higher than the second power supply threshold.

[0154] In a possible implementation, the second dispatching unit 73 is also used to dispatch the electric energy of the indoor energy storage device to other indoor energy storage devices in the building when the grid electricity price is lower than the second electricity price threshold, or the load electricity consumption in the building is higher than the second electricity consumption threshold and the electric energy supply is lower than the second power supply threshold.

[0155] In a possible implementation, the second scheduling unit 73 is further configured to send a second scheduling instruction to the indoor energy storage device, where the second scheduling instruction is used to instruct the indoor energy storage device to discharge.

[0156] Corresponding to the local area network-based distributed energy control method provided in the above embodiment, Figure 8 A schematic structural diagram of a distributed energy control device based on a local area network provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0157] like Figure 8 As shown, the distributed energy control device based on the local area network includes:

[0158] A third acquisition unit 81, configured to acquire a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction;

[0159] A third strategy unit 82 is used to determine the first battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage device in the building when the third scheduling mode is priority for in-building scheduling; and determine the second battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage device in the building when the third scheduling mode is priority for indoor use;

[0160] The battery control unit 83 is used to control the energy storage battery to discharge or charge based on the first battery usage strategy or the second battery usage strategy; wherein the battery scheduling strategy of the energy storage device in the building is generated based on the community scheduling strategy of the community cloud server.

[0161] In a possible implementation, the indoor energy storage device is integrated with an indoor server, and the in-building energy storage device is integrated with a microserver; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

[0162] In a possible implementation, the battery control unit 83 is further used to control the energy storage battery to discharge in response to the second scheduling instruction when the photovoltaic power generation is greater than the indoor load power consumption; or, control the energy storage battery to charge when the photovoltaic power generation is greater than the indoor load power consumption and the energy storage battery power is lower than the energy storage power threshold; or, control the energy storage battery to discharge in response to the second scheduling instruction when the photovoltaic power generation is greater than the indoor load power consumption and the energy storage battery power is greater than the energy storage power threshold; or, control the energy storage battery to discharge when the photovoltaic power generation is less than the indoor load power consumption, if the grid electricity price is greater than the fourth electricity price threshold or the energy supply is less than the third power supply threshold.

[0163] Through the embodiments of the present application, the server is integrated into the energy storage device to improve the system integration, and there is no need to find a special place to place the server, which reduces the size of the device / server and the floor space. By adopting a distributed architecture, when an energy storage device fails, it can be quickly located and repaired without affecting the use of other devices and the entire system. The energy flow of the entire community will not be affected by server problems. With households, buildings, and communities as basic units, the community's dependence on external electricity is reduced, the community's abandonment of light and electricity is reduced, and community energy self-sufficiency is achieved.

[0164] Fig. 9 A schematic diagram of the hardware structure of the community cloud server 10 is shown.

[0165] like Fig. 9 As shown, the community cloud server 10 of this embodiment includes: at least one processor 101 ( Fig. 9 Only one is shown in the figure), a memory 102, wherein the memory 102 stores a computer program 103 that can be run on the processor 101. When the processor 101 executes the computer program 103, the steps in the above method embodiment are implemented, for example Figure 2 Alternatively, when the processor 101 executes the computer program 103, the functions of the modules / units in the above-mentioned device embodiments are realized.

[0166] It is understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the community cloud server 10. In other embodiments of the present application, the community cloud server 10 may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0167] Fig.10 A schematic diagram of the hardware structure of the energy storage device 20 is shown.

[0168] like Fig.10 As shown, the energy storage device 20 of this embodiment includes: at least one processor 203 ( Fig.10 Only one is shown in the figure), a memory 204, wherein the memory 204 stores a computer program 205 that can be run on the processor 203. When the processor 203 executes the computer program 205, the steps in the above method embodiment are implemented, such as Figure 3 S301 to S304 shown and Figure 4 Alternatively, when the processor 203 executes the computer program 205, the functions of the modules / units in the above-mentioned device embodiments are realized.

[0169] It is understood that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the energy storage device 20. In other embodiments of the present application, the energy storage device 20 may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0170] The energy storage device 20 may include, but is not limited to, a processor 203 and a memory 204. Those skilled in the art will appreciate that Fig.10It is only an example of the energy storage device 20 and does not constitute a limitation of the energy storage device 20. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the server may also include an input sending device, a network access device, a bus, etc.

[0171] The processor 203 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0172] The processor 203 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in the processor 203 is a cache memory. The memory may store instructions or data that the processor 203 has just used or cyclically used. If the processor 203 needs to use the instruction or data again, it may be directly called from the memory. This avoids repeated access, reduces the waiting time of the processor 203, and thus improves the efficiency of the system.

[0173] In some embodiments, the memory 204 may be an internal storage unit of the energy storage device 20, such as a hard disk or memory of the energy storage device 20. The memory 204 may also be an external storage device of the energy storage device 20, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the energy storage device 20. Further, the memory 204 may also include both an internal storage unit of the energy storage device 20 and an external storage device. The memory 204 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as program codes of computer programs, etc. The memory 204 may also be used to temporarily store data that has been sent or is to be sent.

[0174] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0175] It should be noted that the structure of the above-mentioned electronic device is only illustrative, and based on different application scenarios, it may also include other physical structures, and the physical structure of the electronic device is not limited here.

[0176] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0177] The embodiment of the present application also provides a distributed energy control system based on a local area network, including a community cloud server, an in-building energy storage device and an indoor energy storage device; wherein the in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server is used to respond to the dispatching instruction of the power grid and send a first dispatching instruction to the in-building energy storage device, and the first dispatching instruction is used to instruct the in-building energy storage device to dispatch the electric energy of the indoor energy storage device; the in-building energy storage device is used to respond to the first dispatching instruction of the community cloud server, and send a second dispatching instruction to the indoor energy storage device based on the microserver to dispatch the electric energy of the indoor energy storage device; the indoor energy storage device is used to respond to the second dispatching instruction of the in-building energy storage device, and control the charging or discharging of the energy storage battery based on the indoor server.

[0178] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0179] An embodiment of the present application provides a computer program product. When the computer program product runs on a server, the server can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0180] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0181] The devices, systems, community cloud servers, energy storage devices, computer storage media, and computer program products provided in the above-mentioned embodiments of the present application are all used to execute the methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects corresponding to the methods provided above, and will not be repeated here.

[0182] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A distributed energy control method based on a local area network, characterized in that: Applied to a community cloud server; the method comprises: Obtaining a first scheduling configuration instruction, and configuring a first scheduling mode according to the first scheduling configuration instruction; In the case where the first dispatching mode is priority grid dispatching, determining a first community dispatching strategy based on grid electricity price, electric energy supply, and community load power consumption; When the first dispatching mode is community sharing priority, determining a second community dispatching strategy based on the power price of the power grid, the power supply and the power consumption of the community load; Based on the first community scheduling strategy or the second community scheduling strategy, a first scheduling instruction is sent to the in-building energy storage device, where the first scheduling instruction is used to instruct the in-building energy storage device to schedule electric energy of the indoor energy storage device.

2. The method according to claim 1, characterized in that The in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server is connected to the microserver of the in-building energy storage device based on local area network wireless communication, and the microserver of the in-building energy storage device is connected to the indoor server of the indoor energy storage device based on local area network wireless communication.

3. The method according to claim 1, characterized in that: Based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to the energy storage device in the building includes: When the power price of the power grid is higher than a first power price threshold, the power consumption of the community load is lower than a first power consumption threshold, and the power supply is higher than a first power supply threshold, in response to a dispatch instruction sent by the power grid, a first dispatch instruction is sent to the in-building energy storage device, and the first dispatch instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the power grid.

4. The method according to claim 1, characterized in that Based on the first community scheduling strategy or the second community scheduling strategy, sending a first scheduling instruction to the energy storage device in the building includes: When the power price of the power grid is lower than the first power price threshold, or the power consumption of the community load is higher than the first power consumption threshold and the power supply is lower than the first power supply threshold, a first scheduling instruction is sent to the in-building energy storage device, and the first scheduling instruction is used to instruct the in-building energy storage device to dispatch the power of the indoor energy storage device to the community load or other in-building energy storage devices in the community.

5. A distributed energy control method based on a local area network, characterized in that: Applied to in-building energy storage equipment; the method comprises: Obtain a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction; When the second scheduling mode is the priority community scheduling, the first battery scheduling strategy is determined based on the power price of the power grid, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server; When the second scheduling mode is priority in-building scheduling, determining a second battery scheduling strategy based on the power price of the power grid, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server; Based on the first battery scheduling strategy or the second battery scheduling strategy, the electric energy of the indoor energy storage device is scheduled.

6. The method according to claim 5, characterized in that The in-building energy storage device is integrated with a microserver, and the indoor energy storage device is integrated with an indoor server; the community cloud server is connected to the microserver of the in-building energy storage device based on local area network wireless communication, and the microserver of the in-building energy storage device is connected to the indoor server of the indoor energy storage device based on local area network wireless communication.

7. The method according to claim 5, characterized in that The step of scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes: When the grid electricity price is higher than the second electricity price threshold, the building load power consumption is lower than the second power consumption threshold, and the power supply is higher than the second power supply threshold, in response to the first scheduling instruction sent by the community cloud server, the electric energy of the indoor energy storage device is dispatched to the grid, the community load or other building energy storage devices in the community.

8. The method according to claim 5, characterized in that The step of scheduling the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy includes: When the grid electricity price is lower than the second electricity price threshold, or the load electricity consumption in the building is higher than the second electricity consumption threshold and the power supply is lower than the second power supply threshold, the electric energy of the indoor energy storage device is dispatched to other indoor energy storage devices in the building.

9. The method according to any one of claims 5 to 8, characterized in that: The step of dispatching the electric energy of the indoor energy storage device comprises: A second scheduling instruction is sent to the indoor energy storage device, where the second scheduling instruction is used to instruct the indoor energy storage device to discharge.

10. A distributed energy control method based on a local area network, characterized in that: Applied to indoor energy storage equipment; the method comprises: Obtain a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction; When the third scheduling mode is priority scheduling within the building, the first battery usage strategy is determined based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and battery scheduling strategy of the energy storage equipment within the building; In the case where the third scheduling mode is to prioritize indoor use, a second battery usage strategy is determined based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and battery scheduling strategy of the energy storage equipment in the building; Based on the first battery usage strategy or the second battery usage strategy, controlling the energy storage battery to discharge or charge; Among them, the battery scheduling strategy of the energy storage equipment in the building is generated based on the community scheduling strategy of the community cloud server.

11. The method according to claim 10, characterized in that The indoor energy storage device is integrated with an indoor server, and the in-building energy storage device is integrated with a microserver; the community cloud server and the microserver of the in-building energy storage device are connected based on local area network wireless communication, and the microserver of the in-building energy storage device and the indoor server of the indoor energy storage device are connected based on local area network wireless communication.

12. The method according to claim 10, characterized in that The controlling the energy storage battery to discharge or charge based on the first battery usage strategy or the second battery usage strategy includes: In the case where the photovoltaic power generation is greater than the power consumption of the indoor load, in response to the second scheduling instruction of the energy storage device in the building, the energy storage battery is controlled to discharge; or When the photovoltaic power generation is greater than the indoor load power consumption and the energy storage battery power is lower than the energy storage power threshold, controlling the energy storage battery to charge; or, In the case where the photovoltaic power generation is greater than the indoor load power consumption and the energy storage battery power is greater than the energy storage power threshold, in response to the second scheduling instruction, controlling the energy storage battery to discharge; or, When the photovoltaic power generation is less than the indoor load power consumption, if the grid electricity price is greater than a fourth electricity price threshold or the electric energy supply is less than a third power supply threshold, the energy storage battery is controlled to discharge.

13. A distributed energy control system based on a local area network, characterized in that: It includes a community cloud server, an in-building energy storage device and an indoor energy storage device; wherein the in-building energy storage device is integrated with a micro server, and the indoor energy storage device is integrated with an indoor server; The community cloud server is used to respond to the dispatching instruction of the power grid and send a first dispatching instruction to the in-building energy storage device, wherein the first dispatching instruction is used to instruct the in-building energy storage device to dispatch the electric energy of the indoor energy storage device; The in-building energy storage device is used to respond to the first scheduling instruction of the community cloud server and send a second scheduling instruction to the indoor energy storage device based on the microserver to schedule the electric energy of the indoor energy storage device; The indoor energy storage device is used to respond to the second scheduling instruction of the in-building energy storage device and control the charging or discharging of the energy storage battery based on the indoor server.

14. A distributed energy control device based on a local area network, characterized in that: include: A first acquisition unit, configured to acquire a first scheduling configuration instruction, and configure a first scheduling mode according to the first scheduling configuration instruction; A first strategy unit, configured to determine a first community dispatching strategy based on a grid electricity price, a power supply, and a community load power consumption when the first dispatching mode is a priority grid dispatching mode; When the first dispatching mode is community sharing priority, determining a second community dispatching strategy based on the power price of the power grid, the power supply and the power consumption of the community load; The first scheduling unit is used to send a first scheduling instruction to the in-building energy storage device based on the first community scheduling strategy or the second community scheduling strategy, wherein the first scheduling instruction is used to instruct the in-building energy storage device to schedule the electric energy of the indoor energy storage device.

15. A distributed energy control device based on a local area network, characterized in that: include: A second acquisition unit, used to acquire a second scheduling configuration instruction, and configure a second scheduling mode according to the second scheduling configuration instruction; A second strategy unit is used to determine the first battery scheduling strategy based on the power price of the power grid, the power supply, the power consumption of the load in the building and the community scheduling strategy sent by the community cloud server when the second scheduling mode is the priority community scheduling; When the second scheduling mode is priority in-building scheduling, determining a second battery scheduling strategy based on the power price of the power grid, the power supply, the power consumption of the load in the building, and the community scheduling strategy sent by the community cloud server; The second scheduling unit is used to schedule the electric energy of the indoor energy storage device based on the first battery scheduling strategy or the second battery scheduling strategy.

16. A distributed energy control device based on a local area network, characterized in that: include: A third acquisition unit, used to acquire a third scheduling configuration instruction, and configure a third scheduling mode according to the third scheduling configuration instruction; A third strategy unit is used to determine the first battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage equipment in the building when the third scheduling mode is priority for in-building scheduling; and determine the second battery use strategy based on the energy storage battery power, photovoltaic power generation, grid electricity price, power supply, indoor load power consumption and the battery scheduling strategy of the energy storage equipment in the building when the third scheduling mode is priority for indoor use; A battery control unit is used to control the energy storage battery to discharge or charge based on the first battery usage strategy or the second battery usage strategy; wherein the battery scheduling strategy of the energy storage device in the building is generated based on the community scheduling strategy of the community cloud server.

17. A community cloud server, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 4 when executing the computer program.

18. An energy storage device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 5 to 12 when executing the computer program.

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