CN117767368A - Peak clipping and valley filling method and related products - Google Patents
Peak clipping and valley filling method and related products Download PDFInfo
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Abstract
The application discloses a peak clipping and valley filling method and related products, wherein the method is applied to a communication node in an energy management system, and comprises the following steps: determining the electricity utilization type of the electric equipment; determining a communication rule and a bandwidth requirement according to the electricity type, wherein the bandwidth requirement is used for identifying a bandwidth range available for communication; and reporting load information to the decision node according to the communication rule under the bandwidth requirement, so that the decision node performs peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system according to the load information.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a peak clipping and valley filling method and related products.
Background
The energy management system (Equipment Management System, EMS) is a comprehensive, efficient and intelligent device management and engineering management solution, and is suitable for device management and engineering management requirements of various manufacturing enterprises. However, when the devices to which the EMS is connected are more and load data is uploaded by the access devices so that the EMS performs peak clipping and valley filling, the data management and communication system of the EMS may face huge load pressure, and there is a problem of communication delay.
Disclosure of Invention
In order to solve the problems in the prior art, the embodiment of the application provides a peak clipping and valley filling method and related products, which can obtain the load information of all devices simultaneously under limited communication resources so as to solve the problem of concurrent time delay of communication and effectively improve the peak clipping and valley filling efficiency and effect.
In a first aspect, embodiments of the present application provide a peak clipping and valley filling method, where the method is applied to a communication node in an energy management system, the method includes:
determining the electricity utilization type of the electric equipment;
determining a communication rule and a bandwidth requirement according to the electricity type, wherein the bandwidth requirement is used for identifying a bandwidth range available for communication;
and reporting load information to the decision node according to the communication rule under the bandwidth requirement, so that the decision node performs peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system according to the load information.
In one possible implementation, determining the electricity type of the electricity consumer includes:
determining the fluctuation degree of the power utilization amplitude of the electric equipment according to the historical power utilization data of the electric equipment;
when the fluctuation degree is smaller than or equal to a first threshold value, each communication node determines that the electricity utilization type of the electric equipment is stable;
And when the fluctuation degree is larger than the first threshold value, each communication node determines that the electricity utilization type of the electric equipment is fluctuation type.
In one possible embodiment, the degree of fluctuation can be expressed by the formula (1):
wherein z represents the fluctuation degree of the electricity consumption amplitude of the electric equipment, x represents the average wavelength of the electricity consumption waveform diagram of the electric equipment, y represents the maximum wave height of the electricity consumption waveform diagram of the electric equipment, a represents the weight of the average wavelength of the electricity consumption waveform diagram of the electric equipment, b represents the weight of the maximum wave height of the electricity consumption waveform diagram of the electric equipment, and t represents the preset time length.
In one possible implementation, when the electricity type of the electric equipment is stable, determining the communication rule and the bandwidth requirement according to the electricity type includes:
when the load information is not changed, determining that the communication rule is that the load information reported to the decision node is 0, and determining that the maximum value of the bandwidth requirement is a preset second threshold value, wherein the second threshold value is the maximum value of the bandwidth during single-bit transmission;
when the load information changes, the communication rule is determined to be that the load information reported to the decision node is 1, and the maximum value of the bandwidth requirement is determined to be a second threshold value.
In one possible implementation, when the electricity type of the electric equipment is a wave type, determining the communication rule and the bandwidth requirement according to the electricity type includes:
reporting the actual value of the load information to the decision node;
and setting the maximum value of the bandwidth requirement as a preset third threshold value, wherein the third threshold value is determined according to the maximum load information of the electric equipment.
In one possible implementation, after determining the communication rule and the bandwidth requirement according to the electricity usage type, the method further comprises:
acquiring power utilization task information of electric equipment;
determining the priority of the electric equipment according to the electric task information, wherein the priority is used for identifying the importance degree of the electric equipment;
according to the priority, the communication rule is adjusted to obtain an adjustment rule;
according to the priority, adjusting the bandwidth requirement to obtain an adjustment requirement;
reporting load information to decision nodes under bandwidth requirements according to communication rules, including:
and reporting load information to the decision node according to the adjustment rule under the adjustment requirement.
In one possible implementation, the priority may be represented by formula (2):
wherein n represents the total number of electric devices, p m Representing the priority of the mth consumer c m Stage weight, d, representing task execution stage of mth device m And the importance degree of the electricity utilization task of the mth device is represented, and i and m are integers which are larger than or equal to 1 and smaller than or equal to n.
In a second aspect, embodiments of the present application provide a peak clipping and valley filling device, including:
the analysis module is used for determining the electricity utilization type of the electric equipment, and determining a communication rule and a bandwidth requirement according to the electricity utilization type, wherein the bandwidth requirement is used for identifying the available bandwidth range when communication is carried out;
and the reporting module is used for reporting the load information to the decision node according to the communication rule under the bandwidth requirement so that the decision node performs peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system according to the load information.
In a third aspect, embodiments of the present application provide an electronic device, including: and a processor coupled to the memory, the memory for storing a computer program, the processor for executing the computer program stored in the memory to cause the electronic device to perform the method as in the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program, the computer program causing a computer to perform the method as in the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer being operable to cause a computer to perform a method as in the first aspect.
The implementation of the embodiment of the application has the following beneficial effects:
in the embodiment of the application, the equipment with large fluctuation degree and relatively stable fluctuation degree is grouped by reflecting the electricity utilization type of the fluctuation degree of the electricity utilization amplitude of the electric equipment, and different communication rules and bandwidth requirements are provided for the equipment in different groups. And then, the corresponding communication rule and bandwidth requirement are invoked to report the load information of the electric equipment to the decision node. And finally, carrying out peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system through the decision node according to the reported load information. Therefore, the data uploading is carried out by grouping the devices with different fluctuation degrees of the electricity using amplitude and using different communication rules and bandwidth requirements, and then, for the device with stable electricity consumption, the effect of properly reducing the occupied bandwidth can be achieved by configuring the proper communication rules. Compared with the existing communication mode, the method can accommodate more devices to carry out concurrent communication under limited communication resources, so that the problem of concurrent time delay of communication is solved, and the peak clipping and valley filling efficiency and effect are effectively improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic hardware structure diagram of a peak clipping and valley filling device based on distributed communication according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a household energy storage system according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a peak clipping and valley filling method based on distributed communication according to an embodiment of the present application;
fig. 4 is a functional block diagram of a peak clipping and valley filling device based on distributed communication according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without undue burden are within the scope of the present application.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic hardware structure of a peak clipping and valley filling device based on distributed communication according to an embodiment of the present application. The peak and valley fill device 100 based on distributed communication includes at least one processor 101, a communication line 102, a memory 103, and at least one communication interface 104.
In this embodiment, the processor 101 may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in the present application.
Communication line 102 may include a pathway to transfer information between the above-described components.
The communication interface 104, which may be any transceiver-like device (e.g., antenna, etc.), is used to communicate with other devices or communication networks, such as ethernet, RAN, wireless local area network (wireless local area networks, WLAN), etc.
The memory 103 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In this embodiment, the memory 103 may be independently provided and connected to the processor 101 via the communication line 102. Memory 103 may also be integrated with processor 101. The memory 103 provided by embodiments of the present application may generally have non-volatility. The memory 103 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 101 to execute the instructions. The processor 101 is configured to execute computer-executable instructions stored in the memory 103, thereby implementing the methods provided in the embodiments of the present application described below.
In alternative embodiments, computer-executable instructions may also be referred to as application code, which is not specifically limited in this application.
In alternative embodiments, processor 101 may include one or more CPUs, such as CPU0 and CPU1 in fig. 1.
In alternative embodiments, the distributed communication based peak and valley fill device 100 may include multiple processors, such as processor 101 and processor 107 in FIG. 1. Each of these processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In an alternative embodiment, if the peak and valley clipping device 100 based on distributed communication is a server, for example, the peak and valley clipping device may be a stand-alone server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms. The peak and valley fill unit 100 based on distributed communications may further include an output device 105 and an input device 106. The output device 105 communicates with the processor 101 and may display information in a variety of ways. For example, the output device 105 may be a liquid crystal display (liquid crystal display, LCD), a light emitting diode (light emitting diode, LED) display device, a Cathode Ray Tube (CRT) display device, or a projector (projector), or the like. The input device 106 is in communication with the processor 101 and may receive user input in a variety of ways. For example, the input device 106 may be a mouse, a keyboard, a touch screen device, a sensing device, or the like.
The peak and valley clipping device 100 based on distributed communication may be a general purpose device or a special purpose device. The embodiments of the present application are not limited to the type of peak and valley fill device 100 based on distributed communications.
In addition, it should be noted that, because of the strong timeliness and space nature of the energy source required by people, in order to reasonably utilize the energy source and improve the utilization rate of the energy, one energy form needs to be stored by one medium or device, and then is converted into another energy form, and then is released in a specific energy form based on future application. At present, the main way of generating green electric energy is to develop green energy sources such as photovoltaic, wind power and the like to replace fossil energy sources,
at present, the generation of green electric energy generally depends on photovoltaic, wind power, water potential and the like, but wind energy, solar energy and the like generally have the problems of strong intermittence and large fluctuation, which can cause unstable power grid, insufficient peak electricity consumption, too much electricity consumption and unstable voltage can cause damage to the electric power, so that the problem of 'wind abandoning and light abandoning' possibly occurs due to insufficient electricity consumption requirement or insufficient power grid acceptance, and the problem needs to be solved by relying on energy storage. The energy is converted into other forms of energy through physical or chemical means and is stored, the energy is converted into electric energy when needed and released, in short, the energy storage is similar to a large-scale 'charge pal', the electric energy is stored when the photovoltaic and wind energy are sufficient, and the stored electric power is released when needed.
Taking electrochemical energy storage as an example, the scheme provides an energy storage device, wherein a group of chemical batteries are arranged in the energy storage device, chemical elements in the batteries are mainly used as energy storage media, and the charge and discharge process is accompanied with chemical reaction or change of the energy storage media.
The present energy storage (i.e. energy storage) application scenario is comparatively extensive, including aspects such as power generation side energy storage, electric wire netting side energy storage and power consumption side energy storage, and the kind of corresponding energy storage device includes:
(1) The large energy storage power station applied to the wind power and photovoltaic power station side can assist renewable energy sources to generate electricity to meet grid-connected requirements, and meanwhile, the utilization rate of the renewable energy sources is improved; the energy storage power station is used as a high-quality active/reactive power regulating power supply in a power supply side, so that the load matching of electric energy in time and space is realized, the capacity of absorbing renewable energy sources is enhanced, the instantaneous power change is reduced, the impact on a power grid is reduced, the problem of generating and absorbing new energy sources is solved, and the energy storage power station has great significance in the aspects of standby of a power grid system, relieving peak load power supply pressure and peak regulation and frequency modulation;
(2) The energy storage container applied to the power grid side has the functions of mainly peak regulation, frequency modulation and power grid blocking and peak regulation relieving, and can realize peak clipping and valley filling of the power consumption load, namely the energy storage battery is charged when the power consumption load is low, and the stored electric quantity is released in the peak period of the power consumption load, so that the balance between power production and power consumption is realized;
(3) The small energy storage cabinet applied to the electricity utilization side has the main functions of spontaneous electricity utilization, peak Gu Jiacha arbitrage, capacity cost management and power supply reliability improvement. According to the different application scenes, the electricity-side energy storage can be divided into an industrial and commercial energy storage cabinet, a household energy storage device, an energy storage charging pile and the like, and is generally matched with the distributed photovoltaic. The energy storage can be used by industrial and commercial users for valley peak price difference arbitrage and capacity cost management. In the electric power market implementing peak-valley electricity price, the energy storage system is charged when the electricity price is low, and the energy storage system is discharged when the electricity price is high, so that peak-valley electricity price difference arbitrage is realized, and the electricity cost is reduced. In addition, the energy storage system is suitable for two industrial enterprises with electricity price, can store energy when electricity is used in low valley and discharge the energy when the electricity is used in peak load, so that peak power and the declared maximum demand are reduced, and the purpose of reducing the capacity electricity fee is achieved. The household photovoltaic distribution and storage can improve the spontaneous self-use level of the electric power. Due to high electricity prices and poor power supply stability, the photovoltaic installation requirements of users are pulled. Considering that the photovoltaic power generation is performed in daytime, and the load of a user is generally higher at night, the photovoltaic power can be better utilized through configuration of energy storage, the spontaneous self-use level is improved, and meanwhile the power consumption cost is reduced. In addition, the fields of communication base stations, data centers and the like need to be configured with energy storage for standby power.
Exemplary, as shown in fig. 2, fig. 2 is a schematic structural diagram of a household energy storage system according to an embodiment of the present application. The household energy storage system comprises an electric energy conversion device 2 (photovoltaic panel), a first user load 3 (street lamp), a second user load 4 (such as household appliances like an air conditioner) and the like, and an energy storage device 1, wherein the energy storage device 1 is a small energy storage box and can be installed on an outdoor wall in a wall hanging mode. In particular, the photovoltaic panel can convert solar energy into electric energy during the low electricity price period, and the energy storage device 1 is used for storing the electric energy and supplying the electric energy to street lamps and household appliances for use during the electricity price peak or supplying power during the power failure/power outage of the power grid.
The number of the energy storage devices can be multiple, the energy storage devices are mutually connected in series or in parallel, and the energy storage devices can be supported and electrically connected by adopting the isolating plates. In the present embodiment, "a plurality of" means two or more. The energy storage device can be provided with an energy storage box outside for accommodating the energy storage device.
Alternatively, the energy storage device may include, but is not limited to, a battery cell, a battery module, a battery pack, a battery system, and the like. The practical application form of the energy storage device provided in the embodiment of the present application may be, but is not limited to, the listed products, and may also be other application forms, and the embodiment of the present application does not strictly limit the application form of the energy storage device. In the embodiment of the application, the energy storage device is only taken as a multi-core battery for illustration. When the energy storage device is a single battery, the energy storage device may be at least one of a cylindrical battery, a prismatic battery, and the like.
Based on the above description of the energy storage system, it can be seen that the energy storage device 1 plays a role in electric energy allocation in the system, and in the allocation process, in order to further promote effective utilization of electric energy, electric equipment needs to be used according to, for example: and load information of the first user load 3 and the second user load 4 is used for reasonably peak clipping and valley filling allocation of electric energy. Therefore, the peak clipping and valley filling method provided by the application can be suitable for the electric energy distribution scene brought by the energy storage equipment.
In addition, the embodiment shown in fig. 2 is only used as an example of a household energy storage scene in the user side energy storage, and a scene applicable to the peak clipping and valley filling method provided in the present application is described. The peak clipping and valley filling method can be also applied to other scenes needing electric energy distribution, and is not only applicable to household energy storage scenes.
Hereinafter, a peak clipping and valley filling method disclosed in the present application will be described.
Referring to fig. 3, fig. 3 is a flow chart of a peak clipping and valley filling method according to an embodiment of the present application, and the method may be applied to a communication node in the energy storage system EMS shown in fig. 2. The method comprises the following steps:
301: and determining the electricity utilization type of the electric equipment.
In this embodiment, the EMS may set a plurality of communication nodes to manage each electric device, and when load reporting is required, the communication nodes may determine the electricity type of the electric device managed by the node. In this embodiment and the following embodiments, a communication node determines a power utilization type of a power utilization device managed by the communication node. Specifically, the electricity consumption type of the electric equipment is determined by the fluctuation degree of the electricity consumption amplitude of the electric equipment. Specifically, the fluctuation degree of the electricity consumption amplitude of the electric equipment can be determined according to the historical electricity consumption data of the electric equipment, and a first threshold value can be set for example, when the fluctuation degree is smaller than or equal to the first threshold value, the electricity consumption type of the equipment to be communicated is determined to be stable, and when the fluctuation degree is larger than the first threshold value, the electricity consumption type of the equipment to be communicated is determined to be fluctuation type.
In the present embodiment, the degree of fluctuation of the electric amplitude of the devices to be communicated can be determined by analyzing the electric waveform diagram of each device to be communicated. By way of example, the degree of fluctuation of the power consumption amplitude of each device to be communicated can be expressed by the formula (3):
wherein z represents the fluctuation degree of the electricity consumption amplitude of the electric equipment, x represents the average wavelength of the electricity consumption waveform diagram of the electric equipment, y represents the maximum wave height of the electricity consumption waveform diagram of the electric equipment, a represents the weight of the average wavelength of the electricity consumption waveform diagram of the electric equipment, b represents the weight of the maximum wave height of the electricity consumption waveform diagram of the electric equipment, and t represents the preset time length.
Thus, a reasonable first threshold value can be predefined according to the actual power utilization scenario, and then all devices managed by the power management system are classified into a stable type and a fluctuation type.
302: communication rules and bandwidth requirements are determined based on the type of electricity usage.
In this embodiment, for a stable consumer, the power consumption is stable and substantially unchanged. The device has the advantages that the use level is stable, the load information reported each time is basically consistent, and the number of changes is low. Thus, for this type of device, the communication rule of the consumer can be set as follows: when the load information is not changed, determining that the communication rule is that the load information reported to the decision node is 0, and determining the maximum value of the bandwidth requirement as a second threshold value, wherein the second threshold value is the maximum value of the bandwidth in single-bit transmission; when the load information changes, the communication rule is determined to be that the load information reported to the decision node is 1, and the maximum value of the bandwidth requirement is also determined to be a second threshold value. In short, a single bit of 0 or 1 is used instead of specific load information, 0 indicating no change in load information from the last report, and 1 indicating a change in load information from the last report. Therefore, the load information reporting requirement of the equipment can be met only by distributing the bandwidth capable of carrying out single-bit data transmission for the equipment.
In this embodiment, after receiving the reported load information, the decision node may perform corresponding processing according to a specific value of the information. Specifically, when the load information is 0, the historical load information reported last time by the electric equipment can be directly used as the load information of the electric equipment, if the information reported last time is also 0, the previous search is continued until a specific load information value is found, and the load information is used as the load information of the electric equipment. When the load information is 1, the limitation of the communication rule of the electric equipment can be removed, a report request is sent to the electric equipment again, and the specific load information reported by the electric equipment is received as the load information of the electric equipment.
In this embodiment, since the device corresponding to the rule is a stable device, the probability of the load information being changed is low. Therefore, the probability of the received report information being 0 is high, and the situation that the limit of the communication rule needs to be released and the bandwidth needs to be widened is less. And then, the report of the load information is finished by less communication data, and the report requirement can be met by only allocating less communication resources for the load information.
In this embodiment, the fluctuation type electric device is characterized in that the electric power consumption is unstable and frequently changes. For this, the electric equipment can directly report a specific value of the load information of the electric equipment, and the maximum value of the bandwidth requirement of the electric equipment is set to be a preset third threshold value, wherein the third threshold value is determined according to the maximum load information of the electric equipment, namely, the bandwidth capable of transmitting the bit number can be used as the third threshold value according to the bit number of the maximum load information of the electric equipment. In short, for the wave-type device, communication resources can be allocated as usual so that the current actual load information can be directly reported.
303: and reporting load information to the decision node under the bandwidth requirement according to the communication rule.
In this embodiment, before confirming the communication rule and the bandwidth requirement of the electric device, the priority of the electric device may be determined, and the communication rule and the bandwidth requirement of the electric device may be adjusted according to the priority. In particular, the priority is used to identify the importance of the consumer, which is not a fixed priority, but is updated in real time according to the electricity consumption of each period. For example, current power consumption task information may be obtained, and then, a current priority of the device may be determined according to information such as importance level of the power consumption task and task execution stage.
Illustratively, in this embodiment, the priority may be represented by formula (4):
wherein n represents the total number of electric devices, p m Representing the priority of the mth consumer c m Representing the execution phase of a task by an mth consumerDetermined stage weights, d m And the score determined by the importance degree of the electricity utilization task of the mth electric equipment is represented, and i and m are integers which are larger than or equal to 1 and smaller than or equal to n.
Further, for a device that has been powered down, its phase weight is fixed to 0, and for a device that remains powered for a long period of time, its phase weight is fixed to 1.
After the priority of each device is determined, the communication rule determined by each device can be adjusted according to the priority to obtain an adjustment rule, and the bandwidth requirement is adjusted to obtain an adjustment requirement. In short, the priority may be converted into a corresponding priority coefficient according to a preset rule, and then the priority coefficient is multiplied by the fluctuation degree of the power consumption amplitude of each device to be communicated in step 201, so as to obtain a new fluctuation degree. And determining the type of each device according to the new fluctuation degree and the first threshold value, adjusting the original communication rule and the bandwidth requirement to obtain an adjustment rule and an adjustment requirement, and reporting the load information of the electric equipment to a decision node through the adjustment rule and the adjustment requirement, so that the decision node performs peak clipping and valley filling processing of electric energy according to the received load information.
In summary, in the peak clipping and valley filling method provided by the invention, the equipment with large fluctuation degree and relatively stable fluctuation degree is grouped by reflecting the electricity utilization type of the fluctuation degree of the electricity utilization amplitude of the electric equipment, and different communication rules and bandwidth requirements are provided for the equipment of different groups. And then, the corresponding communication rule and bandwidth requirement are invoked to report the load information of the electric equipment to the decision node. And finally, carrying out peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system through the decision node according to the reported load information. Therefore, the data uploading is carried out by grouping the devices with different fluctuation degrees of the electricity using amplitude and using different communication rules and bandwidth requirements, and then, for the device with stable electricity consumption, the effect of properly reducing the occupied bandwidth can be achieved by configuring the proper communication rules. Compared with the existing communication mode, the method can accommodate more devices to carry out concurrent communication under limited communication resources, so that the problem of concurrent time delay of communication is solved, and the peak clipping and valley filling efficiency and effect are effectively improved.
Referring to fig. 4, fig. 4 is a functional block diagram of a peak clipping and valley filling device according to an embodiment of the present application, where the device 400 includes:
a first determining module 401, configured to determine a power usage type of the electric device;
a second determining module 402, configured to determine a communication rule and a bandwidth requirement according to the power type, where the bandwidth requirement is used to identify a bandwidth range available for communication;
and the reporting module 403 is configured to report load information to the decision node according to the communication rule under the bandwidth requirement, so that the decision node performs peak clipping and valley filling processing on the electric energy accessed into the energy storage system according to the load information.
In the embodiment of the present invention, in determining the electricity type of the electric equipment, the first determining module 401 is specifically configured to:
determining the fluctuation degree of the power utilization amplitude of the electric equipment according to the historical power utilization data of the electric equipment;
when the fluctuation degree is smaller than or equal to a first threshold value, each communication node determines that the electricity utilization type of the electric equipment is stable;
and when the fluctuation degree is larger than the first threshold value, each communication node determines that the electricity utilization type of the electric equipment is fluctuation type.
In the embodiment of the present invention, the degree of fluctuation can be expressed by the formula (5):
Wherein z represents the fluctuation degree of the electricity consumption amplitude of the electric equipment, x represents the average wavelength of the electricity consumption waveform diagram of the electric equipment, y represents the maximum wave height of the electricity consumption waveform diagram of the electric equipment, a represents the weight of the average wavelength of the electricity consumption waveform diagram of the electric equipment, b represents the weight of the maximum wave height of the electricity consumption waveform diagram of the electric equipment, and t represents the preset time length.
In an embodiment of the present invention, when the electricity type of the electric device is a wave type, the second determining module 402 is specifically configured to:
when the load information is not changed, determining that the communication rule is that the load information reported to the decision node is 0, and determining that the maximum value of the bandwidth requirement is a preset second threshold value, wherein the second threshold value is the maximum value of the bandwidth during single-bit transmission;
when the load information changes, the communication rule is determined to be that the load information reported to the decision node is 1, and the maximum value of the bandwidth requirement is determined to be a second threshold value.
In an embodiment of the present invention, when the electricity type of the electric device is a wave type, the second determining module 402 is specifically configured to:
Reporting the actual value of the load information to the decision node;
and setting the maximum value of the bandwidth requirement as a preset third threshold value, wherein the third threshold value is determined according to the maximum load information of the electric equipment.
In an embodiment of the present invention, after determining the communication rule and the bandwidth requirement according to the power usage type, the second determining module 402 is further configured to:
acquiring power utilization task information of electric equipment;
determining the priority of the electric equipment according to the electric task information, wherein the priority is used for identifying the importance degree of the electric equipment;
according to the priority, the communication rule is adjusted to obtain an adjustment rule;
according to the priority, adjusting the bandwidth requirement to obtain an adjustment requirement;
based on this, in reporting load information to the decision node under bandwidth requirements according to the communication rule, the reporting module 403 is specifically configured to:
and reporting load information to the decision node according to the adjustment rule under the adjustment requirement.
In the embodiment of the present invention, the priority may be expressed by formula (6):
wherein n represents the total number of electric devices, p m Representing the priority of the mth consumer c m Stage weight, d, representing task execution stage of mth device m And the importance degree of the electricity utilization task of the mth device is represented, and i and m are integers which are larger than or equal to 1 and smaller than or equal to n.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device 500 includes a transceiver 501, a processor 502, and a memory 503. Which are connected by a bus 504. The memory 503 is used to store computer programs and data, and the data stored in the memory 503 may be transferred to the processor 502.
The processor 502 is configured to read a computer program in the memory 503 to perform the following operations:
determining the electricity utilization type of the electric equipment;
determining a communication rule and a bandwidth requirement according to the electricity type, wherein the bandwidth requirement is used for identifying a bandwidth range available for communication;
and reporting load information to the decision node according to the communication rule under the bandwidth requirement, so that the decision node performs peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system according to the load information.
In an embodiment of the present invention, in determining the electricity usage type of the electricity usage device, the processor 502 is specifically configured to perform the following operations:
determining the fluctuation degree of the power utilization amplitude of the electric equipment according to the historical power utilization data of the electric equipment;
When the fluctuation degree is smaller than or equal to a first threshold value, each communication node determines that the electricity utilization type of the electric equipment is stable;
and when the fluctuation degree is larger than the first threshold value, each communication node determines that the electricity utilization type of the electric equipment is fluctuation type.
In the embodiment of the present invention, the degree of fluctuation can be expressed by the formula (7):
wherein z represents the fluctuation degree of the electricity consumption amplitude of the electric equipment, x represents the average wavelength of the electricity consumption waveform diagram of the electric equipment, y represents the maximum wave height of the electricity consumption waveform diagram of the electric equipment, a represents the weight of the average wavelength of the electricity consumption waveform diagram of the electric equipment, b represents the weight of the maximum wave height of the electricity consumption waveform diagram of the electric equipment, and t represents the preset time length.
In an embodiment of the present invention, when the electricity type of the electricity consumption device is a wave type, the processor 502 is specifically configured to perform the following operations in determining the communication rule and the bandwidth requirement according to the electricity type:
when the load information is not changed, determining that the communication rule is that the load information reported to the decision node is 0, and determining that the maximum value of the bandwidth requirement is a preset second threshold value, wherein the second threshold value is the maximum value of the bandwidth during single-bit transmission;
When the load information changes, the communication rule is determined to be that the load information reported to the decision node is 1, and the maximum value of the bandwidth requirement is determined to be a second threshold value.
In an embodiment of the present invention, when the electricity type of the electric device is a wave type, the processor 502 is specifically configured to perform the following operations in determining a communication rule and a communication resource of the device to be communicated:
reporting the actual value of the load information to the decision node;
and setting the maximum value of the bandwidth requirement as a preset third threshold value, wherein the third threshold value is determined according to the maximum load information of the electric equipment.
In an embodiment of the present invention, after determining the communication rules and bandwidth requirements according to the power usage type, the processor 502 is specifically configured to:
acquiring power utilization task information of electric equipment;
determining the priority of the electric equipment according to the electric task information, wherein the priority is used for identifying the importance degree of the electric equipment;
according to the priority, the communication rule is adjusted to obtain an adjustment rule;
according to the priority, adjusting the bandwidth requirement to obtain an adjustment requirement;
based on this, the processor 502 is specifically configured to perform the following operations in reporting the load information to the decision node under the bandwidth requirement according to the communication rule:
And reporting load information to the decision node according to the adjustment rule under the adjustment requirement.
In an embodiment of the present invention, the priority may be expressed by formula (8):
wherein n represents the total number of electric devices, p m Representing the priority of the mth consumer c m Stage weight, d, representing task execution stage of mth device m And the importance degree of the electricity utilization task of the mth device is represented, and i and m are integers which are larger than or equal to 1 and smaller than or equal to n.
It should be understood that the peak clipping and valley filling device in the present application may include a smart Phone (such as an Android mobile Phone, an iOS mobile Phone, a Windows Phone mobile Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device MID (Mobile Internet Devices, abbreviated as MID), a robot, a wearable device, etc. The peak clipping and valley filling device is merely exemplary and not exhaustive, and includes but is not limited to the peak clipping and valley filling device. In practical application, the peak clipping and valley filling device may further include: intelligent vehicle terminals, computer devices, etc.
From the above description of embodiments, it will be apparent to those skilled in the art that the present invention may be implemented in software in combination with a hardware platform. With such understanding, all or part of the technical solution of the present invention contributing to the background art may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the various embodiments or parts of the embodiments of the present invention.
Accordingly, embodiments of the present application also provide a computer readable storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any of the peak clipping and valley filling methods described in the method embodiments above. For example, the storage medium may include a hard disk, a floppy disk, an optical disk, a magnetic tape, a magnetic disk, a flash memory, etc.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the peak clipping and valley filling methods described in the method embodiments above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional divisions when actually implemented, such as multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated units described above may be implemented either in hardware or in software program modules.
The integrated units, if implemented in the form of software program modules, may be stored in a computer-readable memory for sale or use as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, and the memory may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of the embodiments herein, and the detailed description of the principles and embodiments herein has been presented in terms of specific examples only to assist in the understanding of the methods and concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A peak clipping and valley filling method, wherein the method is applied to a communication node in an energy management system, the method comprising:
determining the electricity utilization type of the electric equipment;
determining a communication rule and a bandwidth requirement according to the electricity type, wherein the bandwidth requirement is used for identifying a bandwidth range available when communication is carried out;
And reporting load information to a decision node according to the communication rule under the bandwidth requirement, so that the decision node performs peak clipping and valley filling processing on electric energy which is accessed into an energy storage system according to the load information.
2. The method of claim 1, wherein the determining the type of power usage of the powered device comprises:
determining the fluctuation degree of the electricity consumption amplitude of the electric equipment according to the historical electricity consumption data of the electric equipment;
when the fluctuation degree is smaller than or equal to a first threshold value, determining that the electricity utilization type of the electric equipment is stable;
and when the fluctuation degree is larger than the first threshold value, determining that the electricity utilization type of the electric equipment is fluctuation type.
3. The method of claim 2, wherein the degree of fluctuation satisfies the following formula:
wherein z represents the fluctuation degree of the electricity consumption amplitude of the electric equipment, x represents the average wavelength of the electricity consumption waveform diagram of the electric equipment, y represents the maximum wave height of the electricity consumption waveform diagram of the electric equipment, a represents the weight of the average wavelength of the electricity consumption waveform diagram of the electric equipment, b represents the weight of the maximum wave height of the electricity consumption waveform diagram of the electric equipment, and t represents the preset time length.
4. A method according to claim 2 or 3, wherein when the electricity usage type of the electricity consumption device is a stable type, the determining the communication rule and the bandwidth requirement according to the electricity usage type includes:
when the load information is not changed, determining that the communication rule is that the load information reported to the decision node is 0, and determining that the maximum value of the bandwidth requirement is a preset second threshold value, wherein the second threshold value is the maximum value of the bandwidth in single-bit transmission;
and when the load information changes, determining that the communication rule is the load information 1 reported to the decision node, and determining that the maximum value of the bandwidth requirement is the second threshold value.
5. A method according to claim 2 or 3, wherein when the electricity usage type of the electricity consumption device is a fluctuation type, the determining the communication rule and the bandwidth requirement according to the electricity usage type includes:
determining that the communication rule is that the load information reported to the decision node is an actual value;
and determining the maximum value of the bandwidth requirement as a preset third threshold value, wherein the third threshold value is determined according to the maximum load information of the electric equipment.
6. The method of claim 1, wherein after said determining a communication rule and a bandwidth requirement according to said electricity usage type, said method further comprises:
acquiring electricity task information of the electric equipment;
determining the priority of the electric equipment according to the electricity task information, wherein the priority is used for identifying the importance degree of the electric equipment;
according to the priority, the communication rule is adjusted to obtain an adjustment rule;
according to the priority, the bandwidth requirement is adjusted to obtain an adjustment requirement;
the reporting of the load information to the decision node under the bandwidth requirement according to the communication rule comprises:
and reporting the load information to the decision node according to the adjustment rule under the adjustment requirement.
7. The method of claim 6, wherein the priority satisfies the following formula:
wherein n represents the total number of the electric devices, p m Representing the priority of the mth consumer c m Stage weight, d, representing the task execution stage of the mth device m And the importance degree of the electricity utilization task of the mth device is represented, and i and m are integers which are larger than or equal to 1 and smaller than or equal to n.
8. A peak clipping and valley filling device, the device comprising:
the first determining module is used for determining the electricity utilization type of the electric equipment;
the second determining module is used for determining a communication rule and a bandwidth requirement according to the electricity type, wherein the bandwidth requirement is used for identifying a bandwidth range available for communication;
and the reporting module is used for reporting load information to the decision node according to the communication rule under the bandwidth requirement so that the decision node performs peak clipping and valley filling processing on the electric energy which is accessed into the energy storage system according to the load information.
9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the one or more programs comprising instructions for performing the steps of the method of any of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which is executed by a processor to implement the method of any of claims 1-7.
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