Intelligent control method and system for power consumption in industrial parks based on photovoltaic storage, direct current and flexible Internet of Things

Abstract

The present invention discloses an intelligent control method and system for power consumption in an industrial park based on photovoltaic, storage, direct current and flexible Internet of Things. The system includes an edge server, a control module, a photovoltaic module, an energy storage module, a direct current distribution module and a plurality of Internet of Things power consumption devices. The photovoltaic module is connected to the energy storage module and the direct current distribution module, the energy storage module is connected to the direct current distribution module, and the direct current distribution module is connected to a plurality of Internet of Things power consumption devices. The embodiment of the present invention can automatically group each Internet of Things power consumption device in the smart industrial park based on the power consumption device information in the edge server, and intelligently determine the corresponding energy supply sub-control strategy for different power consumption device sub-grouping results in combination with the first device parameter of the photovoltaic module and the second device parameter of the energy storage module, and intelligently control the power consumption of the Internet of Things power consumption devices in the corresponding power consumption device sub-grouping results according to the energy supply sub-control strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic, storage, direct current, flexible and Internet of Things, and in particular to an intelligent control method and system for power consumption in an industrial park based on photovoltaic, storage, direct current, flexible and Internet of Things. Background Art

[0002] The photovoltaic storage direct-flexible technology can be applied to various types of buildings, such as residential, commercial, public buildings, industrial parks, etc., to achieve energy self-sufficiency and energy conservation and emission reduction. For example, in industrial parks, photovoltaic panels can be arranged on the roof of the factory to build a DC distribution system and a smart building system, which improves the utilization rate of electric energy and reduces the capacity of the distribution transformer. However, in the photovoltaic storage direct-flexible system for industrial parks, there are a variety of electrical equipment. The voltage, power and other parameters of different types of electrical equipment are different. The photovoltaic storage direct-flexible system needs to integrate photovoltaic equipment, energy storage equipment, DC distribution equipment and different types of electrical equipment. It is difficult to ensure the compatibility of the system and provide accurate power supply to each electrical equipment. Summary of the invention

[0003] The embodiments of the present invention provide an intelligent control method and system for electricity consumption in an industrial park based on photovoltaic, energy storage, direct current and flexible networks and the Internet of Things, aiming to solve the problem in the prior art that there are various types of electrical equipment in photovoltaic, energy storage, direct current and flexible networks for industrial parks. The voltage, power and other parameters of different types of electrical equipment are different, and the photovoltaic, energy storage, direct current and flexible networks need to integrate photovoltaic equipment, energy storage equipment, DC distribution equipment and different types of electrical equipment to ensure the compatibility of the system and the problem that it is difficult to provide accurate power supply to each electrical equipment.

[0004] In a first aspect, an embodiment of the present invention provides an intelligent control method for power consumption in an industrial park based on photovoltaic, storage, direct current and the Internet of Things, which is applied to a smart industrial park. The smart industrial park is provided with an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of Internet of Things power-consuming devices. The photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of Internet of Things power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of Internet of Things power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to the cloud server; the intelligent control method for power consumption in an industrial park based on photovoltaic, storage, direct current and the Internet of Things comprises:

[0005] The control module responds to the IoT power-consuming device grouping instruction, obtains the power-consuming device information respectively sent by the plurality of IoT power-consuming devices, and sends it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the region to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device;

[0006] The edge server determines the power device grouping results corresponding to the multiple IoT power devices based on the power device information respectively corresponding to the multiple IoT power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results;

[0007] If the edge server detects the daily electricity consumption planning instruction, it determines the energy supply sub-control strategies corresponding to the multiple electric device sub-grouping results in the electric device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the electric device grouping result and the preset energy supply control strategy, and sends them to the control module;

[0008] The control module controls the photovoltaic module and / or the energy storage module to supply power to the IoT power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

[0009] In a second aspect, an embodiment of the present invention further provides an industrial park power intelligent control system based on photovoltaic storage, direct current and flexible Internet of Things, which is applied to a smart industrial park, wherein an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of Internet of Things power-consuming devices are provided in the smart industrial park, wherein the photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of Internet of Things power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of Internet of Things power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to the cloud server:

[0010] The control module is used to respond to the IoT power-consuming device grouping instruction, obtain the power-consuming device information respectively sent by the multiple IoT power-consuming devices, and send it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the area to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device;

[0011] The edge server is used to determine the power device grouping results corresponding to the multiple Internet of Things power devices based on the power device information respectively corresponding to the multiple Internet of Things power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results;

[0012] The edge server is further configured to determine, if a daily power consumption planning instruction is detected, energy supply sub-control strategies corresponding to the plurality of power consumption device sub-grouping results in the power consumption device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power consumption device grouping result and the preset energy supply control strategy, and send the energy supply sub-control strategies to the control module;

[0013] The control module is also used to control the photovoltaic module and / or the energy storage module to supply power to the Internet of Things power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

[0014] The embodiment of the present invention provides an intelligent control method and system for power consumption in an industrial park based on photovoltaic storage, direct current and flexible Internet of Things. The method comprises: a control module responds to an Internet of Things power consumption device grouping instruction, obtains power consumption device information respectively sent by multiple Internet of Things power consumption devices, and sends it to an edge server; wherein the power consumption device information at least includes a unique number of the power consumption device, a type of power consumption device, an area to which the power consumption device belongs, AC and DC power consumption priority information of the power consumption device, and power consumption of the power consumption device; the edge server determines the power consumption devices corresponding to the multiple Internet of Things power consumption devices based on the power consumption device information respectively corresponding to the multiple Internet of Things power consumption devices and a preset power consumption device grouping strategy, The power equipment grouping result includes multiple power equipment sub-grouping results; if the edge server detects the power consumption planning instruction for the day, it determines the energy supply sub-control strategies corresponding to the multiple power equipment sub-grouping results in the power equipment grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power equipment grouping result and the preset energy supply control strategy, and sends them to the control module; the control module controls the photovoltaic module and / or the energy storage module to supply power to the Internet of Things power equipment in the corresponding power equipment sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power equipment sub-grouping results. The embodiment of the present invention can automatically group each Internet of Things power equipment in the smart industrial park based on the power equipment information in the edge server, and intelligently determine the corresponding energy supply sub-control strategy for different power equipment sub-grouping results in combination with the first device parameter of the photovoltaic module and the second device parameter of the energy storage module, and intelligently control the power consumption of the Internet of Things power equipment in the corresponding power equipment sub-grouping results according to the energy supply sub-control strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0016] Figure 1 A schematic block diagram of an industrial park power intelligent control system based on solar-storage-direct-flexible and Internet of Things provided in an embodiment of the present invention;

[0017] Figure 2 A flow chart of an intelligent control method for power consumption in an industrial park based on photovoltaic storage, direct current and flexible Internet of Things provided by an embodiment of the present invention;

[0018] Figure 3 A schematic diagram of a sub-process of an intelligent control method for power consumption in an industrial park based on photovoltaic storage, direct current and flexible Internet of Things provided in an embodiment of the present invention;

[0019] Figure 4 A schematic diagram of a sub-process of an intelligent control method for power consumption in an industrial park based on photovoltaic storage, direct current and flexible Internet of Things provided in an embodiment of the present invention;

[0020] Figure 5 A schematic diagram of a sub-process of an intelligent control method for electricity consumption in an industrial park based on photovoltaic storage, direct current and flexible Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0023] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0024] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0025] Please also refer to Figure 1 and Figure 2 ,in Figure 1 is a schematic block diagram of an industrial park power intelligent control system based on solar-storage-direct-flexible and Internet of Things provided by an embodiment of the present invention. Figure 2 1 is a flow chart of an intelligent control method for power consumption in an industrial park based on photovoltaic storage, direct current and Internet of Things provided by an embodiment of the present invention. Figure 1 As shown, it can also be regarded as a scene schematic diagram of the intelligent control method for industrial park electricity consumption based on photovoltaic storage, direct current and flexible Internet of Things in an embodiment of the present invention. The intelligent control method for industrial park electricity consumption based on photovoltaic storage, direct current and flexible Internet of Things provided by an embodiment of the present invention is applied to a smart industrial park, in which an edge server 10, a control module 20, a photovoltaic module 30, an energy storage module 40, a DC distribution module 50 and multiple Internet of Things power-consuming devices 60 are provided. The photovoltaic module 30 is connected to the energy storage module 40 and the DC distribution module 50, the energy storage module 40 is connected to the DC distribution module 50, the DC distribution module 50 is connected to the multiple Internet of Things power-consuming devices 60, the control module 20 is communicatively connected to the photovoltaic module 30, the energy storage module 40, the DC distribution module 50 and the multiple Internet of Things power-consuming devices 60, the control module 20 is also communicatively connected to the edge server 10, and the edge server 10 is also communicatively connected to the cloud server. Among them, the photovoltaic module 30 can be specifically implemented by a solar photovoltaic power generation device, the energy storage module 40 can be specifically implemented by a lithium battery (it can also be used as one of the components of the energy storage module through the charging piles deployed in the smart industrial park, and can charge electric vehicles), and the DC distribution module 50 can be specifically implemented by a low-voltage DC distribution system.

[0026] like Figure 2 As shown, the method includes the following steps S110-S140.

[0027] S110, the control module responds to the IoT power-consuming device grouping instruction, obtains the power-consuming device information respectively sent by the multiple IoT power-consuming devices, and sends it to the edge server.

[0028] The power-consuming equipment information at least includes a unique number of the power-consuming equipment, a type of the power-consuming equipment, a region to which the power-consuming equipment belongs, AC and DC power priority information of the power-consuming equipment, and power consumption of the power-consuming equipment.

[0029] In this embodiment, if Figure 1As shown, after the construction of the smart industrial park is completed and the edge server 10, control module 20, photovoltaic module 30, energy storage module 40, DC distribution module 50 and multiple IoT power-consuming devices 60 are deployed, the power-consuming device information of the multiple IoT power-consuming devices 60 can be initialized and configured respectively. For example, when initializing the configuration of the power equipment information of each IoT power-consuming device deployed in the smart industrial park, the types of power-consuming devices mainly include industrial production equipment, lighting equipment, air-conditioning and ventilation equipment, security equipment, fire-fighting equipment, office equipment, life service equipment, etc., and IoT communication modules can be set in the above-mentioned IoT power-consuming devices (the full name of IotT is Internet of Things and represents the Internet of Things. More specifically, NB-IoT communication modules, that is, narrowband IoT communication modules, can be used to establish communication connections with control modules and edge servers); the area to which the power-consuming devices of the IoT power-consuming devices belong can be set to the production area (more specifically, the production area can be divided more specifically according to specific production processes, such as the first process production area, the second process production area, etc.), living area, storage area, etc.; the AC / DC power priority information of the power-consuming devices can be set to use only DC, compatible with AC / DC and DC priority, compatible with AC / DC and AC priority, only AC, etc.; the power consumption of the power-consuming devices includes the maximum power consumption, minimum power consumption and average power consumption of the power-consuming devices, etc. After setting up the IoT communication module for each IoT power-consuming device, the edge server can first generate an IoT power-consuming device grouping instruction locally based on manual operation or automatically, and then send the IoT power-consuming device grouping instruction to the control module. The control module can be regarded as a control center including components such as controllers and memories, which has strong data processing capabilities. After the control module receives the IoT power-consuming device grouping instruction sent by the edge server, it can send power-consuming device information reporting instructions to each IoT power-consuming device deployed in the smart industrial park, so that each IoT power-consuming device reports its power-consuming device information to the control module and then forwards it to the edge server. The above process can be understood as an inventory process of IoT power-consuming devices in the smart industrial park, so that the edge server can perform subsequent processing based on the power-consuming device information of each IoT power-consuming device.

[0030] S120. The edge server determines the power device grouping results corresponding to the multiple Internet of Things power devices based on the power device information respectively corresponding to the multiple Internet of Things power devices and a preset power device grouping strategy.

[0031] The electric device grouping result includes a plurality of electric device sub-grouping results.

[0032] In this embodiment, after the power-consuming equipment information of each IoT power-consuming equipment in the smart industrial park is obtained in the edge server, the power-consuming equipment grouping results corresponding to the multiple IoT power-consuming equipment can be determined in combination with the locally preset power-consuming equipment grouping strategy. After completing the grouping of each IoT power-consuming equipment in the smart industrial park, the power supply control of each group of IoT power-consuming equipment can be performed more intelligently and more finely.

[0033] In one embodiment, if Figure 3 As shown, step S120 includes:

[0034] S121. For each of the plurality of IoT power-consuming devices, obtain power-consuming device information of the IoT power-consuming device, and determine power-consuming device characteristic data corresponding to the power-consuming device information;

[0035] S122, obtaining a plurality of preset electric device characteristic data in the electric device grouping strategy, and a sub-grouping result corresponding to each preset electric device characteristic data;

[0036] S123, matching the electric device characteristic data corresponding to the Internet of Things electric device with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the Internet of Things electric device;

[0037] S124: Summarize the target sub-grouping results corresponding to the plurality of IoT electrical devices to obtain the electrical device grouping result.

[0038] In this embodiment, in order to realize the rapid grouping of each IoT power-consuming device in the edge server, the corresponding power-consuming device characteristic data can be first determined based on the power-consuming device information of each IoT power-consuming device, and then the power-consuming device characteristic data of the IoT power-consuming device can be compared and matched with multiple preset power-consuming device characteristic data in the power-consuming device grouping strategy, and the preset power-consuming device characteristic data having the same characteristic data as the power-consuming device characteristic data of the IoT power-consuming device can be determined, and the sub-grouping result corresponding to the preset power-consuming device characteristic data can be used as the target sub-grouping result corresponding to the IoT power-consuming device. After determining the target sub-grouping result corresponding to each IoT power-consuming device, data aggregation processing can be performed to obtain the power-consuming device grouping result.

[0039] Among them, when determining the power-consuming equipment characteristic data based on the power-consuming equipment information of the Internet of Things power-consuming equipment, the most core information to be obtained is the type of power-consuming equipment, the area to which the power-consuming equipment belongs, and the AC and DC power priority information of the power-consuming equipment. By processing the above three types of information, the power-consuming equipment characteristic data of the Internet of Things power-consuming equipment can be obtained.

[0040] In one embodiment, step S121 includes:

[0041] Obtain the type of electric device, the area to which the electric device belongs, and the AC and DC power usage priority information of the electric device in the electric device information, and determine a first identification value corresponding to the type of electric device, a second identification value corresponding to the area to which the electric device belongs, and a third identification value corresponding to the AC and DC power usage priority information;

[0042] The first identification value, the second identification value and the third identification value form an identification value vector as the electric device characteristic data corresponding to the electric device information;

[0043] Step S123 includes:

[0044] If it is determined that the power device characteristic data corresponding to the Internet of Things power device is the same as one of the preset power device characteristic data, then the sub-grouping result corresponding to the corresponding preset power device characteristic number is obtained as the target sub-grouping result corresponding to the Internet of Things power device.

[0045] In this embodiment, taking the determination of electrical equipment characteristic data corresponding to an IoT electrical equipment as an example, after obtaining the electrical equipment type of the IoT electrical equipment, the area to which the electrical equipment belongs, and the AC / DC power priority information of the electrical equipment, a first identification value corresponding to the electrical equipment type, a second identification value corresponding to the area to which the electrical equipment belongs, and a third identification value corresponding to the AC / DC power priority information are respectively determined; for example, the corresponding identification value of industrial production equipment is pre-set to 1, the corresponding identification value of lighting equipment is pre-set to 2, the corresponding identification value of air conditioning and ventilation equipment is pre-set to 3, the corresponding identification value of security equipment is pre-set to 4, the corresponding identification value of fire-fighting equipment is pre-set to 5, the corresponding identification value of office equipment is pre-set to 6, and the corresponding identification value of life service equipment is pre-set to 7; the production area is pre-set to correspond to identification value 1, the living area is pre-set to correspond to identification value 2, and the storage area is pre-set to correspond to identification value 3; it is pre-set that only using DC corresponds to identification value 1, compatible with AC and DC and DC is prioritized to identification value 2, compatible with AC and DC and AC is prioritized to identification value 3, and only using AC corresponds to identification value 4. If it is known that the power consumption type of the IoT power consumption device is industrial production equipment, the area to which the power consumption device belongs is the production area, and the AC / DC power consumption priority information of the power consumption device is to use AC only, then the corresponding power consumption device characteristic data can be expressed as [1,1,4].

[0046] Because multiple power-consuming device characteristic data are preset in the power-consuming device grouping strategy of the edge server, and the sub-grouping result to which each preset power-consuming device characteristic data belongs is set accordingly, when it is determined that the power-consuming device characteristic data corresponding to the power-consuming device of the Internet of Things is the same as one of the preset power-consuming device characteristic data in the multiple preset power-consuming device characteristic data, it means that the power-consuming device of the Internet of Things can be divided into the sub-grouping result corresponding to the preset power-consuming device characteristic data. After the target sub-grouping result corresponding to each power-consuming device of the Internet of Things is determined in the above manner and summarized, the power-consuming device grouping result can be obtained.

[0047] S130. If the edge server detects the power consumption planning instruction for the day, it determines the energy supply sub-control strategies corresponding to the multiple power equipment sub-grouping results in the power equipment grouping results based on the first device parameters of the photovoltaic module, the second device parameters of the energy storage module, the power equipment grouping results and the preset energy supply control strategy, and sends them to the control module.

[0048] In this embodiment, after completing the intelligent and rapid grouping of each IoT power-consuming device in the smart industrial park in the edge server, it can be understood that the inventory of each IoT power-consuming device in the smart industrial park has been completed. Steps S110 and S120 can be understood as being executed only after the construction of the smart industrial park and the deployment and initialization of the IoT power-consuming devices are completed, and there is no need to execute them again afterwards. The edge server can determine the energy supply sub-control strategies corresponding to the multiple power-consuming device sub-grouping results in the power-consuming device grouping result based on the first device parameters of the photovoltaic module, the second device parameters of the energy storage module, the power-consuming device grouping result, and the preset energy supply control strategy when the daily power consumption planning instruction is detected. For example, a scheduled automatic execution task can be set in the edge server to generate daily electricity planning instructions at multiple times a day (for example, at 00:01, 1:01, 2:01, 3:01, 4:01, 5:01, 6:01, 7:01, 8:01, 9:01, 10:01, 11:01, 12:01, 13:01, 14:01, 15:01, 16:01, 17:01, 18:01, 19:01, 20:01, 20:01, 21:01, 22:01, and 23:01 every day). Each time the edge server detects the daily power planning instruction, it sends a device parameter acquisition instruction to the photovoltaic module and the energy storage module respectively to obtain the first device parameter of the photovoltaic module and the second device parameter of the energy storage module, wherein the first device parameter includes at least the average daily photovoltaic power generation and the average daily photovoltaic power generation of the photovoltaic equipment, the estimated photovoltaic power generation in the current time period (generally corresponding to the current time period from the time when the photovoltaic module generates the current daily power planning instruction to the time when the next daily power planning instruction is generated, combined with the light intensity data in the current time period and the preset light intensity data). The photovoltaic power generation estimation formula is used to determine the estimated photovoltaic power generation in the current time period. The photovoltaic power generation estimation formula is E=maximum illuminated area of ​​the photovoltaic module*equivalent peak sunshine hours*conversion efficiency of the photovoltaic module*(1-transmission line loss rate of the photovoltaic module). The transmission line loss rate of the photovoltaic module is the loss rate of the transmission line between the photovoltaic module and the IoT power-consuming equipment. The equivalent peak sunshine hours can be obtained by dividing the average light intensity in the current time period by the preset standard light intensity) and other parameters. The second device parameters include parameters such as the current remaining power, maximum storage power and maximum charging power of the day.

[0049] The power equipment grouping results corresponding to multiple IoT power equipment in the smart industrial park are currently known. By combining the multiple preset energy supply sub-control strategies included in the energy supply control strategy and the feature screening conditions corresponding to each preset energy supply sub-control strategy, the energy supply sub-control strategies corresponding to the multiple power equipment sub-grouping results can be determined.

[0050] In one embodiment, if Figure 4 As shown, step S130 includes:

[0051] S131. For each electric device sub-grouping result in the electric device grouping result, obtain preset electric device characteristic data corresponding to the electric device sub-grouping result;

[0052] S132, obtaining the estimated photovoltaic power generation of the current time period in the first device parameter of the photovoltaic module and the current remaining power of the day in the second device parameter of the energy storage module, and forming the energy supply sub-feature corresponding to the sub-grouping result of the electrical equipment with the preset electrical equipment feature data corresponding to the sub-grouping result of the electrical equipment;

[0053] S133, obtaining characteristic screening conditions corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy;

[0054] S134, obtaining a target feature screening condition satisfied by the energy supply sub-feature from among a plurality of feature screening conditions, and using a preset energy supply sub-control strategy corresponding to the target feature screening condition as the energy supply sub-control strategy of the electrical equipment sub-grouping result.

[0055] In this embodiment, since the estimated photovoltaic power generation and the current remaining power of the day corresponding to the photovoltaic modules and energy storage modules in different time periods of the day in the smart industrial park are different, in order to adopt a more flexible energy supply sub-control strategy, the preset power equipment feature data corresponding to the power equipment sub-grouping result can be obtained for each power equipment sub-grouping result in the power equipment grouping result. Afterwards, for example, after obtaining the preset power equipment feature data corresponding to a power equipment sub-grouping result, the energy supply sub-feature is obtained as an example, the preset power equipment feature data is combined with the estimated photovoltaic power generation of the current time period in the first device parameter of the photovoltaic module and the current remaining power of the day in the second device parameter of the energy storage module to obtain the energy supply sub-feature. Then, the energy supply sub-feature is judged whether the condition matches the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies, so as to screen out the target feature screening conditions. Finally, the preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the power equipment sub-grouping result. It can be seen that the above process combines the acquisition and matching of energy supply sub-features to realize the energy supply sub-control strategy for quickly determining the sub-grouping results of electrical equipment.

[0056] In one embodiment, step S134 includes:

[0057] If it is determined that the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies in the energy supply control strategy have feature screening conditions that match the energy supply sub-features, the corresponding feature screening conditions are used as target feature screening conditions.

[0058] In this embodiment, for example, for the electric equipment sub-grouping result 1, the identification value corresponding to the AC and DC power priority information in the corresponding preset electric equipment feature data 1 is 2, and in the energy supply control strategy, among the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies respectively, there is a feature screening condition 1 of the preset energy supply sub-control strategy set to the estimated photovoltaic power generation in the current time period is greater than the first preset estimated photovoltaic power generation, the current remaining power on the day is greater than the first preset remaining power of the energy storage module, and the identification value corresponding to the AC and DC power priority information is 2, and the electric equipment sub-grouping result 1 is combined with the estimated photovoltaic power generation in the current time period in the first device parameter of the photovoltaic module and the current remaining power on the day in the second device parameter of the energy storage module to form energy supply sub-feature 1, and energy supply sub-feature 1 satisfies feature screening condition 1 (that is, feature screening condition 1 completes the match with energy supply sub-feature 1), at this time, feature screening condition 1 can be used as the target feature screening condition, and the preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the electric equipment sub-grouping result. For example, the energy supply sub-control strategy above sets the energy storage module as the first priority power supply, the photovoltaic module as the second priority power supply, and the mains access as the third priority power supply. When the photovoltaic module is the second priority power supply, the photovoltaic power generation of the photovoltaic module is first transmitted to the DC distribution module for AC-to-DC processing and then input to the IoT power-consuming device. After that, the photovoltaic power generation of the photovoltaic module is directly transmitted to the IoT power-consuming device. The above process describes the specific process of determining the energy supply sub-control strategy for a sub-grouping result of a power-consuming device. The specific process of the energy supply sub-control strategy for other sub-grouping results of power-consuming devices can also refer to the above process.

[0059] The estimated photovoltaic power generation in the current time period in the first device parameter of the photovoltaic module and the current remaining power of the day in the second device parameter of the energy storage module have different values ​​in different time periods. The energy supply sub-control strategy for the same power-consuming equipment sub-grouping result will also be different in different time periods, thereby realizing flexible adjustment of the power supply strategy for IoT power-consuming equipment.

[0060] S140. The control module controls the photovoltaic module and / or the energy storage module to supply power to the IoT power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

[0061] In this embodiment, after the energy supply sub-control strategies corresponding to each power-consuming device sub-grouping result in the current time period are obtained in the edge server, the photovoltaic module and / or the energy storage module can be controlled to supply power to the Internet of Things power-consuming devices in the corresponding power-consuming device sub-grouping results. For example, the energy supply sub-control strategy only limits the power supply to the Internet of Things power-consuming devices in the corresponding power-consuming device sub-grouping results through the energy storage module, and the specific implementation of the energy supply sub-control strategy is to supply power to the Internet of Things power-consuming devices in the power-consuming device sub-grouping results through the energy storage module through the DC distribution module. It can be seen that the intelligent power supply to the Internet of Things power-consuming devices in each power-consuming device sub-grouping result is achieved through the above method.

[0062] In one embodiment, if Figure 5 As shown, step S140 includes:

[0063] S141. For each of the plurality of electric device sub-grouping results, obtain an energy supply sub-control strategy corresponding to the electric device sub-grouping result, and determine current power supply priority information corresponding to the energy supply sub-control strategy;

[0064] S142. Based on the order of power supply equipment types included in the current power supply priority information, determine the power supply order of the photovoltaic module, the energy storage module and the mains power supply, and control the energy storage module, the photovoltaic module and the mains power supply to supply power to each IoT power-consuming device in the power-consuming device sub-grouping result accordingly.

[0065] In this embodiment, for example, still referring to the above example, the energy supply sub-control strategy corresponding to the current time period in the power equipment sub-grouping result 1 is that the energy storage module has the first priority to supply power, the photovoltaic module has the second priority to supply power, and the mains access has the third priority to supply power. When the photovoltaic module has the second priority to supply power, the photovoltaic power generation of the photovoltaic module is first transmitted to the DC distribution module for AC-to-DC processing and then input to the Internet of Things power equipment. After that, the photovoltaic power generation of the photovoltaic module is directly transmitted to the Internet of Things power equipment. In this example, the specific power supply process is as follows:

[0066] 1) First, control the energy storage module to supply power to each IoT power-consuming device in the power-consuming device sub-grouping result; if the current time period is the evening time period with relatively weak light intensity, the electricity generated by the photovoltaic module for photovoltaic power generation can charge the energy storage module;

[0067] 2) When the power in the energy storage module is lower than the preset minimum power threshold, the photovoltaic power generation of the photovoltaic module is switched to the DC distribution module for AC-to-DC conversion and then input to the IoT power-consuming equipment for power supply;

[0068] 3) When the current photovoltaic power generation power of the photovoltaic module is lower than the minimum photovoltaic power generation power threshold, it switches to connecting to the mains to supply power to the IoT electrical equipment.

[0069] In one embodiment, after step S140, the method further includes:

[0070] If the control module detects that an abnormal power usage state exists in the power-using device sub-grouping result, it generates abnormal power usage prompt information corresponding to the power-using device sub-grouping result, and sends the abnormal power usage prompt information to the edge server, so that the edge server sends the abnormal power usage prompt information to the corresponding receiving terminal.

[0071] In this embodiment, since the unit time power consumption of the Internet of Things power-consuming devices in each power-consuming device sub-grouping result can be uploaded to the control module for analysis, when at least one Internet of Things power-consuming device in at least one power-consuming device sub-grouping result has an abnormal power consumption state (for example, its power consumption in the past minute exceeds the power consumption growth rate of the previous minute by more than 200%, then it can be determined that the Internet of Things power-consuming device has an abnormal power consumption state), the power-consuming device unique number of the Internet of Things power-consuming device and the area to which the power-consuming device belongs can be obtained and filled into the preset message template, abnormal power consumption prompt information is generated, and the abnormal power consumption prompt information is sent to the edge server, so that the edge server sends the abnormal power consumption prompt information to the corresponding receiving terminal. It can be seen that through the above method, abnormal power consumption prompt information corresponding to the corresponding power-consuming device sub-grouping result can be generated in time for the Internet of Things power-consuming devices in abnormal state in the smart industrial park, and sent to the receiving terminal used by maintenance personnel via the edge server to eliminate the abnormal state in time.

[0072] It can be seen that the embodiment of the method can automatically group the IoT power-consuming devices in the smart industrial park based on the power-consuming device information in the edge server, and then intelligently determine the corresponding energy supply sub-control strategy for different power-consuming device sub-grouping results in combination with the first device parameters of the photovoltaic module and the second device parameters of the energy storage module, and intelligently control the power consumption of the IoT power-consuming devices in the corresponding power-consuming device sub-grouping results according to the energy supply sub-control strategy.

[0073] Figure 1 This is a schematic block diagram of an industrial park power intelligent control system based on solar-storage-direct-flexible and Internet of Things provided by an embodiment of the present invention. Figure 1As shown, corresponding to the above-mentioned intelligent control method for industrial park electricity consumption based on photovoltaic storage, direct current and flexible Internet of Things, the present invention also provides an intelligent control system for industrial park electricity consumption based on photovoltaic storage, direct current and flexible Internet of Things. The intelligent control system for industrial park electricity consumption based on photovoltaic storage, direct current and flexible Internet of Things is applied to a smart industrial park, in which an edge server 10, a control module 20, a photovoltaic module 30, an energy storage module 40, a DC distribution module 50 and a plurality of Internet of Things power-consuming devices 60 are provided. The photovoltaic module 30 is connected to the energy storage module 40 and the DC distribution module 50, the energy storage module 40 is connected to the DC distribution module 50, the DC distribution module 50 is connected to the plurality of Internet of Things power-consuming devices 60, the control module 20 is communicatively connected to the photovoltaic module 30, the energy storage module 40, the DC distribution module 50 and the plurality of Internet of Things power-consuming devices 60, the control module 20 is also communicatively connected to the edge server 10, and the edge server 10 is also communicatively connected to the cloud server. Among them, the photovoltaic module 30 can be specifically implemented by a solar photovoltaic power generation device, the energy storage module 40 can be specifically implemented by a lithium battery (it can also be used as one of the components of the energy storage module through the charging piles deployed in the smart industrial park, and can charge electric vehicles), and the DC distribution module 50 can be specifically implemented by a low-voltage DC distribution system.

[0074] The control module 20 is used to respond to the IoT power-consuming device grouping instruction, obtain the power-consuming device information respectively sent by the multiple IoT power-consuming devices, and send it to the edge server.

[0075] The power-consuming equipment information at least includes a unique number of the power-consuming equipment, a type of the power-consuming equipment, a region to which the power-consuming equipment belongs, AC and DC power priority information of the power-consuming equipment, and power consumption of the power-consuming equipment.

[0076] In this embodiment, if Figure 1As shown, after the construction of the smart industrial park is completed and the edge server 10, control module 20, photovoltaic module 30, energy storage module 40, DC distribution module 50 and multiple IoT power-consuming devices 60 are deployed, the power-consuming device information of the multiple IoT power-consuming devices 60 can be initialized and configured respectively. For example, when initializing the configuration of the power equipment information of each IoT power-consuming device deployed in the smart industrial park, the types of power-consuming devices mainly include industrial production equipment, lighting equipment, air-conditioning and ventilation equipment, security equipment, fire-fighting equipment, office equipment, life service equipment, etc., and IoT communication modules can be set in the above-mentioned IoT power-consuming devices (the full name of IotT is Internet of Things and represents the Internet of Things. More specifically, NB-IoT communication modules, that is, narrowband IoT communication modules, can be used to establish communication connections with control modules and edge servers); the area to which the power-consuming devices of the IoT power-consuming devices belong can be set to the production area (more specifically, the production area can be divided more specifically according to specific production processes, such as the first process production area, the second process production area, etc.), living area, storage area, etc.; the AC / DC power priority information of the power-consuming devices can be set to use only DC, compatible with AC / DC and DC priority, compatible with AC / DC and AC priority, only AC, etc.; the power consumption of the power-consuming devices includes the maximum power consumption, minimum power consumption and average power consumption of the power-consuming devices, etc. After setting up the IoT communication module for each IoT power-consuming device, the edge server can first generate an IoT power-consuming device grouping instruction locally based on manual operation or automatically, and then send the IoT power-consuming device grouping instruction to the control module. The control module can be regarded as a control center including components such as controllers and memories, which has strong data processing capabilities. After the control module receives the IoT power-consuming device grouping instruction sent by the edge server, it can send power-consuming device information reporting instructions to each IoT power-consuming device deployed in the smart industrial park, so that each IoT power-consuming device reports its power-consuming device information to the control module and then forwards it to the edge server. The above process can be understood as an inventory process of IoT power-consuming devices in the smart industrial park, so that the edge server can perform subsequent processing based on the power-consuming device information of each IoT power-consuming device.

[0077] The edge server 10 is used to determine the power device grouping results corresponding to the multiple Internet of Things power devices based on the power device information corresponding to the multiple Internet of Things power devices and the preset power device grouping strategy.

[0078] The electric device grouping result includes a plurality of electric device sub-grouping results.

[0079] In this embodiment, after the power-consuming equipment information of each IoT power-consuming equipment in the smart industrial park is obtained in the edge server, the power-consuming equipment grouping results corresponding to the multiple IoT power-consuming equipment can be determined in combination with the locally preset power-consuming equipment grouping strategy. After completing the grouping of each IoT power-consuming equipment in the smart industrial park, the power supply control of each group of IoT power-consuming equipment can be performed more intelligently and more finely.

[0080] In one embodiment, the edge server 10 is specifically used for:

[0081] For each of the plurality of IoT power-consuming devices, acquiring power-consuming device information of the IoT power-consuming device, and determining power-consuming device characteristic data corresponding to the power-consuming device information;

[0082] Acquire multiple preset electric device characteristic data in the electric device grouping strategy, and sub-grouping results corresponding to each preset electric device characteristic data;

[0083] Matching the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things;

[0084] The target sub-grouping results corresponding to multiple IoT electrical devices are aggregated to obtain the electrical device grouping result.

[0085] In this embodiment, in order to realize the rapid grouping of each IoT power-consuming device in the edge server, the corresponding power-consuming device characteristic data can be first determined based on the power-consuming device information of each IoT power-consuming device, and then the power-consuming device characteristic data of the IoT power-consuming device can be compared and matched with multiple preset power-consuming device characteristic data in the power-consuming device grouping strategy, and the preset power-consuming device characteristic data having the same characteristic data as the power-consuming device characteristic data of the IoT power-consuming device can be determined, and the sub-grouping result corresponding to the preset power-consuming device characteristic data can be used as the target sub-grouping result corresponding to the IoT power-consuming device. After determining the target sub-grouping result corresponding to each IoT power-consuming device, data aggregation processing can be performed to obtain the power-consuming device grouping result.

[0086] Among them, when determining the power-consuming equipment characteristic data based on the power-consuming equipment information of the Internet of Things power-consuming equipment, the most core information to be obtained is the type of power-consuming equipment, the area to which the power-consuming equipment belongs, and the AC and DC power priority information of the power-consuming equipment. By processing the above three types of information, the power-consuming equipment characteristic data of the Internet of Things power-consuming equipment can be obtained.

[0087] In one embodiment, the acquiring of the power-consuming device information of the IoT power-consuming device and determining the power-consuming device characteristic data corresponding to the power-consuming device information includes:

[0088] Obtain the type of electric device, the area to which the electric device belongs, and the AC and DC power usage priority information of the electric device in the electric device information, and determine a first identification value corresponding to the type of electric device, a second identification value corresponding to the area to which the electric device belongs, and a third identification value corresponding to the AC and DC power usage priority information;

[0089] The first identification value, the second identification value and the third identification value form an identification value vector as the electric device characteristic data corresponding to the electric device information;

[0090] The matching of the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain the target sub-grouping result corresponding to the electric device of the Internet of Things includes:

[0091] If it is determined that the power device characteristic data corresponding to the Internet of Things power device is the same as one of the preset power device characteristic data, then the sub-grouping result corresponding to the corresponding preset power device characteristic number is obtained as the target sub-grouping result corresponding to the Internet of Things power device.

[0092] In this embodiment, taking the determination of electrical equipment characteristic data corresponding to an IoT electrical equipment as an example, after obtaining the electrical equipment type of the IoT electrical equipment, the area to which the electrical equipment belongs, and the AC / DC power priority information of the electrical equipment, a first identification value corresponding to the electrical equipment type, a second identification value corresponding to the area to which the electrical equipment belongs, and a third identification value corresponding to the AC / DC power priority information are respectively determined; for example, the corresponding identification value of industrial production equipment is pre-set to 1, the corresponding identification value of lighting equipment is pre-set to 2, the corresponding identification value of air conditioning and ventilation equipment is pre-set to 3, the corresponding identification value of security equipment is pre-set to 4, the corresponding identification value of fire-fighting equipment is pre-set to 5, the corresponding identification value of office equipment is pre-set to 6, and the corresponding identification value of life service equipment is pre-set to 7; the production area is pre-set to correspond to identification value 1, the living area is pre-set to correspond to identification value 2, and the storage area is pre-set to correspond to identification value 3; it is pre-set that only using DC corresponds to identification value 1, compatible with AC and DC and DC is prioritized to identification value 2, compatible with AC and DC and AC is prioritized to identification value 3, and only using AC corresponds to identification value 4. If it is known that the power consumption type of the IoT power consumption device is industrial production equipment, the area to which the power consumption device belongs is the production area, and the AC / DC power consumption priority information of the power consumption device is to use AC only, then the corresponding power consumption device characteristic data can be expressed as [1,1,4].

[0093] Because multiple power-consuming device characteristic data are preset in the power-consuming device grouping strategy of the edge server, and the sub-grouping result to which each preset power-consuming device characteristic data belongs is set accordingly, when it is determined that the power-consuming device characteristic data corresponding to the power-consuming device of the Internet of Things is the same as one of the preset power-consuming device characteristic data in the multiple preset power-consuming device characteristic data, it means that the power-consuming device of the Internet of Things can be divided into the sub-grouping result corresponding to the preset power-consuming device characteristic data. After the target sub-grouping result corresponding to each power-consuming device of the Internet of Things is determined in the above manner and summarized, the power-consuming device grouping result can be obtained.

[0094] The edge server 10 is also used to determine the energy supply sub-control strategies corresponding to the multiple electric device sub-grouping results in the electric device grouping results based on the first device parameters of the photovoltaic module, the second device parameters of the energy storage module, the electric device grouping results and the preset energy supply control strategy if a daily electricity consumption planning instruction is detected, and send them to the control module.

[0095] In this embodiment, after completing the intelligent and rapid grouping of each IoT power-consuming device in the smart industrial park in the edge server, it can be understood that the inventory of each IoT power-consuming device in the smart industrial park has been completed. The above process can be understood as being executed only after the construction of the smart industrial park and the deployment and initialization of the IoT power-consuming devices are completed, and there is no need to execute it again afterwards. The edge server can determine the energy supply sub-control strategies corresponding to the multiple power-consuming device sub-grouping results in the power-consuming device grouping result based on the first device parameters of the photovoltaic module, the second device parameters of the energy storage module, the power-consuming device grouping result, and the preset energy supply control strategy when the daily power consumption planning instruction is detected. For example, a scheduled automatic execution task can be set in the edge server to generate daily electricity planning instructions at multiple times a day (for example, at 00:01, 1:01, 2:01, 3:01, 4:01, 5:01, 6:01, 7:01, 8:01, 9:01, 10:01, 11:01, 12:01, 13:01, 14:01, 15:01, 16:01, 17:01, 18:01, 19:01, 20:01, 20:01, 21:01, 22:01, and 23:01 every day). Each time the edge server detects the daily power planning instruction, it sends a device parameter acquisition instruction to the photovoltaic module and the energy storage module respectively to obtain the first device parameter of the photovoltaic module and the second device parameter of the energy storage module, wherein the first device parameter includes at least the average daily photovoltaic power generation and the average daily photovoltaic power generation of the photovoltaic equipment, the estimated photovoltaic power generation in the current time period (generally corresponding to the current time period from the time when the photovoltaic module generates the current daily power planning instruction to the time when the next daily power planning instruction is generated, combined with the light intensity data in the current time period and the preset light intensity data). The photovoltaic power generation estimation formula is used to determine the estimated photovoltaic power generation in the current time period. The photovoltaic power generation estimation formula is E=maximum illuminated area of ​​the photovoltaic module*equivalent peak sunshine hours*conversion efficiency of the photovoltaic module*(1-transmission line loss rate of the photovoltaic module). The transmission line loss rate of the photovoltaic module is the loss rate of the transmission line between the photovoltaic module and the IoT power-consuming equipment. The equivalent peak sunshine hours can be obtained by dividing the average light intensity in the current time period by the preset standard light intensity) and other parameters. The second device parameters include parameters such as the current remaining power, maximum storage power and maximum charging power of the day.

[0096] The power equipment grouping results corresponding to multiple IoT power equipment in the smart industrial park are currently known. By combining the multiple preset energy supply sub-control strategies included in the energy supply control strategy and the feature screening conditions corresponding to each preset energy supply sub-control strategy, the energy supply sub-control strategies corresponding to the multiple power equipment sub-grouping results can be determined.

[0097] In one embodiment, the edge server 10 is further specifically configured to:

[0098] For each electric device sub-grouping result in the electric device grouping result, obtaining preset electric device characteristic data corresponding to the electric device sub-grouping result;

[0099] Obtain the estimated photovoltaic power generation in the current time period from the first device parameter of the photovoltaic module and the current remaining power of the day from the second device parameter of the energy storage module, and form the energy supply sub-feature corresponding to the sub-grouping result of the electrical equipment with the preset electrical equipment feature data corresponding to the sub-grouping result of the electrical equipment;

[0100] Obtaining characteristic screening conditions corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy;

[0101] A target feature screening condition satisfied by the energy supply sub-feature among multiple feature screening conditions is obtained, and a preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the electrical equipment sub-grouping result.

[0102] In this embodiment, since the estimated photovoltaic power generation and the current remaining power of the day corresponding to the photovoltaic modules and energy storage modules in different time periods of the day in the smart industrial park are different, in order to adopt a more flexible energy supply sub-control strategy, the preset power equipment feature data corresponding to the power equipment sub-grouping result can be obtained for each power equipment sub-grouping result in the power equipment grouping result. Afterwards, for example, after obtaining the preset power equipment feature data corresponding to a power equipment sub-grouping result, the energy supply sub-feature is obtained as an example, the preset power equipment feature data is combined with the estimated photovoltaic power generation of the current time period in the first device parameter of the photovoltaic module and the current remaining power of the day in the second device parameter of the energy storage module to obtain the energy supply sub-feature. Then, the energy supply sub-feature is judged whether the condition matches the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies, so as to screen out the target feature screening conditions. Finally, the preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the power equipment sub-grouping result. It can be seen that the above process combines the acquisition and matching of energy supply sub-features to realize the energy supply sub-control strategy for quickly determining the sub-grouping results of electrical equipment.

[0103] In one embodiment, obtaining a target feature screening condition satisfied by the energy supply sub-feature from among a plurality of feature screening conditions comprises:

[0104] If it is determined that the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies in the energy supply control strategy have feature screening conditions that match the energy supply sub-features, the corresponding feature screening conditions are used as target feature screening conditions.

[0105] In this embodiment, for example, for the electric equipment sub-grouping result 1, the identification value corresponding to the AC and DC power priority information in the corresponding preset electric equipment feature data 1 is 2, and in the energy supply control strategy, among the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies respectively, there is a feature screening condition 1 of the preset energy supply sub-control strategy set to the estimated photovoltaic power generation in the current time period is greater than the first preset estimated photovoltaic power generation, the current remaining power on the day is greater than the first preset remaining power of the energy storage module, and the identification value corresponding to the AC and DC power priority information is 2, and the electric equipment sub-grouping result 1 is combined with the estimated photovoltaic power generation in the current time period in the first device parameter of the photovoltaic module and the current remaining power on the day in the second device parameter of the energy storage module to form energy supply sub-feature 1, and energy supply sub-feature 1 satisfies feature screening condition 1 (that is, feature screening condition 1 completes the match with energy supply sub-feature 1), at this time, feature screening condition 1 can be used as the target feature screening condition, and the preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the electric equipment sub-grouping result. For example, the energy supply sub-control strategy above sets the energy storage module as the first priority power supply, the photovoltaic module as the second priority power supply, and the mains access as the third priority power supply. When the photovoltaic module is the second priority power supply, the photovoltaic power generation of the photovoltaic module is first transmitted to the DC distribution module for AC-to-DC processing and then input to the IoT power-consuming device. After that, the photovoltaic power generation of the photovoltaic module is directly transmitted to the IoT power-consuming device. The above process describes the specific process of determining the energy supply sub-control strategy for a sub-grouping result of a power-consuming device. The specific process of the energy supply sub-control strategy for other sub-grouping results of power-consuming devices can also refer to the above process.

[0106] The estimated photovoltaic power generation in the current time period in the first device parameter of the photovoltaic module and the current remaining power of the day in the second device parameter of the energy storage module have different values ​​in different time periods. The energy supply sub-control strategy for the same power-consuming equipment sub-grouping result will also be different in different time periods, thereby realizing flexible adjustment of the power supply strategy for IoT power-consuming equipment.

[0107] The control module 20 is further used to control the photovoltaic module and / or the energy storage module to supply power to the IoT power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

[0108] In this embodiment, after the energy supply sub-control strategies corresponding to each power-consuming device sub-grouping result in the current time period are obtained in the edge server, the photovoltaic module and / or the energy storage module can be controlled to supply power to the Internet of Things power-consuming devices in the corresponding power-consuming device sub-grouping results. For example, the energy supply sub-control strategy only limits the power supply to the Internet of Things power-consuming devices in the corresponding power-consuming device sub-grouping results through the energy storage module, and the specific implementation of the energy supply sub-control strategy is to supply power to the Internet of Things power-consuming devices in the power-consuming device sub-grouping results through the energy storage module through the DC distribution module. It can be seen that the intelligent power supply to the Internet of Things power-consuming devices in each power-consuming device sub-grouping result is achieved through the above method.

[0109] In one embodiment, the control module 20 is further specifically used for:

[0110] For each of the plurality of electric device sub-grouping results, obtaining an energy supply sub-control strategy corresponding to the electric device sub-grouping result, and determining current power supply priority information corresponding to the energy supply sub-control strategy;

[0111] Based on the order of power supply equipment types included in the current power supply priority information, the power supply order of the photovoltaic module, the energy storage module and the mains power supply is determined, and the energy storage module, the photovoltaic module and the mains power supply are controlled accordingly to supply power to each IoT power-consuming device in the power-consuming device sub-grouping result.

[0112] In this embodiment, for example, still referring to the above example, the energy supply sub-control strategy corresponding to the current time period in the power equipment sub-grouping result 1 is that the energy storage module has the first priority to supply power, the photovoltaic module has the second priority to supply power, and the mains access has the third priority to supply power. When the photovoltaic module has the second priority to supply power, the photovoltaic power generation of the photovoltaic module is first transmitted to the DC distribution module for AC-to-DC processing and then input to the Internet of Things power equipment. After that, the photovoltaic power generation of the photovoltaic module is directly transmitted to the Internet of Things power equipment.

[0113] In one embodiment, the control module 20 in the industrial park power intelligent control system based on solar-storage-direct-flexible and Internet of Things is also used for:

[0114] If it is detected that an abnormal power usage state exists in the power-using device sub-grouping result, abnormal power usage prompt information corresponding to the power-using device sub-grouping result is generated, and the abnormal power usage prompt information is sent to the edge server, so that the edge server sends the abnormal power usage prompt information to the corresponding receiving terminal.

[0115] In this embodiment, since the unit time power consumption of the Internet of Things power-consuming devices in each power-consuming device sub-grouping result can be uploaded to the control module for analysis, when at least one Internet of Things power-consuming device in at least one power-consuming device sub-grouping result has an abnormal power consumption state (for example, its power consumption in the past minute exceeds the power consumption growth rate of the previous minute by more than 200%, then it can be determined that the Internet of Things power-consuming device has an abnormal power consumption state), the power-consuming device unique number of the Internet of Things power-consuming device and the area to which the power-consuming device belongs can be obtained and filled into the preset message template, abnormal power consumption prompt information is generated, and the abnormal power consumption prompt information is sent to the edge server, so that the edge server sends the abnormal power consumption prompt information to the corresponding receiving terminal. It can be seen that through the above method, abnormal power consumption prompt information corresponding to the corresponding power-consuming device sub-grouping result can be generated in time for the Internet of Things power-consuming devices in abnormal state in the smart industrial park, and sent to the receiving terminal used by maintenance personnel via the edge server to eliminate the abnormal state in time.

[0116] It can be seen that the implementation example of the system can automatically group the IoT power-consuming devices in the smart industrial park based on the power-consuming devices information in the edge server, and then intelligently determine the corresponding energy supply sub-control strategy for different power-consuming devices sub-grouping results in combination with the first device parameters of the photovoltaic module and the second device parameters of the energy storage module, and intelligently control the power consumption of the IoT power-consuming devices in the corresponding power-consuming devices sub-grouping results according to the energy supply sub-control strategy.

[0117] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0118] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0119] The steps in the method of the embodiment of the present invention can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present invention can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0120] If the integrated 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 storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0121] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An intelligent control method for industrial park electricity consumption based on solar-storage-direct-flexible and Internet of Things, applied to smart industrial parks, characterized in that: The smart industrial park is provided with an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of IoT power-consuming devices. The photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of IoT power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of IoT power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to the cloud server; the intelligent control method for power consumption in an industrial park based on photovoltaic, direct, storage and IoT includes: The control module responds to the IoT power-consuming device grouping instruction, obtains the power-consuming device information respectively sent by the plurality of IoT power-consuming devices, and sends it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the region to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device; The edge server determines the power device grouping results corresponding to the multiple IoT power devices based on the power device information respectively corresponding to the multiple IoT power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results; If the edge server detects the daily electricity consumption planning instruction, it determines the energy supply sub-control strategies corresponding to the multiple electric device sub-grouping results in the electric device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the electric device grouping result and the preset energy supply control strategy, and sends them to the control module; The control module controls the photovoltaic module and / or the energy storage module to supply power to the IoT power devices in the corresponding power device sub-grouping results based on the energy supply sub-control strategies respectively corresponding to the multiple power device sub-grouping results; The determining of the power consumption device grouping results corresponding to the plurality of Internet of Things power consumption devices based on the power consumption device information respectively corresponding to the plurality of Internet of Things power consumption devices and the preset power consumption device grouping strategy includes: For each of the plurality of IoT power-consuming devices, acquiring power-consuming device information of the IoT power-consuming device, and determining power-consuming device characteristic data corresponding to the power-consuming device information; Acquire multiple preset electric device characteristic data in the electric device grouping strategy, and sub-grouping results corresponding to each preset electric device characteristic data; Matching the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things; Summarize the target sub-grouping results corresponding to the multiple IoT electrical devices to obtain the electrical device grouping result; The obtaining of the electrical equipment information of the IoT electrical equipment and determining the electrical equipment characteristic data corresponding to the electrical equipment information includes: Obtain the type of electric device, the area to which the electric device belongs, and the AC and DC power usage priority information of the electric device in the electric device information, and determine a first identification value corresponding to the type of electric device, a second identification value corresponding to the area to which the electric device belongs, and a third identification value corresponding to the AC and DC power usage priority information; The first identification value, the second identification value and the third identification value form an identification value vector as the electric device characteristic data corresponding to the electric device information; The matching of the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things includes: If it is determined that the power device characteristic data corresponding to the Internet of Things power device is the same as one of the preset power device characteristic data, then the sub-grouping result corresponding to the corresponding preset power device characteristic number is obtained as the target sub-grouping result corresponding to the Internet of Things power device.

2. The method according to claim 1, characterized in that If the daily power consumption planning instruction is detected, based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power equipment grouping result and the preset energy supply control strategy, determine the energy supply sub-control strategy corresponding to the multiple power equipment sub-grouping results in the power equipment grouping result, including: For each electric device sub-grouping result in the electric device grouping result, obtaining preset electric device characteristic data corresponding to the electric device sub-grouping result; Obtain the estimated photovoltaic power generation in the current time period from the first device parameter of the photovoltaic module and the current remaining power of the day from the second device parameter of the energy storage module, and form the energy supply sub-feature corresponding to the sub-grouping result of the electrical equipment with the preset electrical equipment feature data corresponding to the sub-grouping result of the electrical equipment; Obtaining characteristic screening conditions corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy; A target feature screening condition satisfied by the energy supply sub-feature among multiple feature screening conditions is obtained, and a preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the electrical equipment sub-grouping result.

3. The method according to claim 2, characterized in that The step of obtaining a target feature screening condition satisfied by the energy supply sub-feature among a plurality of feature screening conditions includes: If it is determined that the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies in the energy supply control strategy have feature screening conditions that match the energy supply sub-features, the corresponding feature screening conditions are used as target feature screening conditions.

4. The method according to claim 1, characterized in that: The energy supply sub-control strategies corresponding to the plurality of power-consuming device sub-grouping results respectively control the photovoltaic module and / or the energy storage module to supply power to the IoT power-consuming devices in the corresponding power-consuming device sub-grouping results, including: For each of the plurality of electric device sub-grouping results, obtaining an energy supply sub-control strategy corresponding to the electric device sub-grouping result, and determining current power supply priority information corresponding to the energy supply sub-control strategy; Based on the order of power supply equipment types included in the current power supply priority information, the power supply order of the photovoltaic module, the energy storage module and the mains power supply is determined, and the energy storage module, the photovoltaic module and the mains power supply are controlled accordingly to supply power to each IoT power-consuming device in the power-consuming device sub-grouping result.

5. The method according to claim 1, characterized in that: After the step in which the control module controls the photovoltaic module and / or the energy storage module to supply power to the IoT power-consuming devices in the corresponding power-consuming device sub-grouping results based on the energy supply sub-control strategies respectively corresponding to the multiple power-consuming device sub-grouping results, the method further includes: If the control module detects that an abnormal power usage state exists in the power-using device sub-grouping result, it generates abnormal power usage prompt information corresponding to the power-using device sub-grouping result, and sends the abnormal power usage prompt information to the edge server, so that the edge server sends the abnormal power usage prompt information to the corresponding receiving terminal.

6. An intelligent control system for industrial park electricity consumption based on solar-storage direct current and the Internet of Things, applied to smart industrial parks, characterized in that: The smart industrial park is provided with an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of IoT power-consuming devices. The photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of IoT power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of IoT power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to the cloud server; The control module is used to respond to the IoT power-consuming device grouping instruction, obtain the power-consuming device information respectively sent by the multiple IoT power-consuming devices, and send it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the area to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device; The edge server is used to determine the power device grouping results corresponding to the multiple Internet of Things power devices based on the power device information respectively corresponding to the multiple Internet of Things power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results; The edge server is further configured to determine, if a daily power consumption planning instruction is detected, energy supply sub-control strategies corresponding to the plurality of power consumption device sub-grouping results in the power consumption device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power consumption device grouping result and the preset energy supply control strategy, and send the energy supply sub-control strategies to the control module; The control module is further used to control the photovoltaic module and / or the energy storage module to supply power to the IoT power devices in the corresponding power device sub-grouping results based on the energy supply sub-control strategies respectively corresponding to the multiple power device sub-grouping results; The determining of the power consumption device grouping results corresponding to the plurality of Internet of Things power consumption devices based on the power consumption device information respectively corresponding to the plurality of Internet of Things power consumption devices and the preset power consumption device grouping strategy includes: For each of the plurality of IoT power-consuming devices, acquiring power-consuming device information of the IoT power-consuming device, and determining power-consuming device characteristic data corresponding to the power-consuming device information; Acquire multiple preset electric device characteristic data in the electric device grouping strategy, and sub-grouping results corresponding to each preset electric device characteristic data; Matching the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things; Summarize the target sub-grouping results corresponding to the multiple IoT electrical devices to obtain the electrical device grouping result; The obtaining of the electrical equipment information of the IoT electrical equipment and determining the electrical equipment characteristic data corresponding to the electrical equipment information includes: Obtain the type of electric device, the area to which the electric device belongs, and the AC and DC power usage priority information of the electric device in the electric device information, and determine a first identification value corresponding to the type of electric device, a second identification value corresponding to the area to which the electric device belongs, and a third identification value corresponding to the AC and DC power usage priority information; The first identification value, the second identification value and the third identification value form an identification value vector as the electric device characteristic data corresponding to the electric device information; The matching of the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things includes: If it is determined that the power device characteristic data corresponding to the Internet of Things power device is the same as one of the preset power device characteristic data, then the sub-grouping result corresponding to the corresponding preset power device characteristic number is obtained as the target sub-grouping result corresponding to the Internet of Things power device.

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