CN117767316A - Partition monitoring-based power load regulation and control method, device, equipment and medium - Google Patents
Partition monitoring-based power load regulation and control method, device, equipment and medium Download PDFInfo
- Publication number
- CN117767316A CN117767316A CN202311806169.1A CN202311806169A CN117767316A CN 117767316 A CN117767316 A CN 117767316A CN 202311806169 A CN202311806169 A CN 202311806169A CN 117767316 A CN117767316 A CN 117767316A
- Authority
- CN
- China
- Prior art keywords
- power
- load
- loads
- power supply
- subareas
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000005192 partition Methods 0.000 title claims abstract description 35
- 230000033228 biological regulation Effects 0.000 title claims abstract description 32
- 238000003860 storage Methods 0.000 claims abstract description 49
- 238000011217 control strategy Methods 0.000 claims abstract description 43
- 238000010248 power generation Methods 0.000 claims abstract description 22
- 230000006870 function Effects 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 12
- 230000000087 stabilizing effect Effects 0.000 claims description 12
- 230000001276 controlling effect Effects 0.000 claims description 9
- 230000001105 regulatory effect Effects 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 4
- 230000004931 aggregating effect Effects 0.000 claims 1
- 238000007726 management method Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 238000013473 artificial intelligence Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of power control, and discloses a power load regulation and control method based on partition monitoring, which comprises the following steps: inquiring each power node in the power grid through a power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas; collecting the power loads of the power nodes in the subareas to obtain real-time power loads; predicting a power supply load in a unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load; dividing expected power supply loads to obtain expected power supply loads of a plurality of subareas, and constructing a load control strategy of each subarea; and adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring to obtain load monitoring data of each subarea. The invention also provides a power load regulation and control device, equipment and a storage medium based on partition monitoring. The invention can improve the regulation and control efficiency of the power load.
Description
Technical Field
The invention relates to the technical field of power control, in particular to a power load regulation and control method, device, equipment and medium based on partition monitoring.
Background
With the increasing prominence of the problem of energy shortage and the increasing concern of environmental pollution, the progress of driving energy reform is accelerating. In this process, efforts are made to develop new energy sources such as renewable energy sources to reduce the dependency on conventional energy sources. For the power system, the primary goal of power grid safety is to keep the real-time balance of power generation and power generation, however, as new energy is accessed into the power grid in a high proportion, the non-schedulability of the power system causes the power system to have a double-high phenomenon, namely a high new energy ratio and a high power electronic equipment ratio, which causes the problem of power supply and demand balance of the power grid to become more challenging. The indirection and fluctuation characteristics of new energy source make the load curve of the supply end have fluctuation, and are difficult to predict accurately. This also results in insufficient new energy consumption and serious problems of wind and light abandoning.
In the prior art, an energy storage technology is generally introduced to solve the fluctuation and the non-schedulability of new energy, the surplus power resources are stored through the new energy and released when the demand is high, so that the difference between the supply and the demand is balanced, however, the control method only can realize integral control, has lower flexibility and adaptability, and has slower response when the power resource consumption is suddenly increased or reduced in a specific area.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for regulating and controlling electric load based on partition monitoring, which mainly aim to improve the regulating and controlling efficiency of the electric load.
In order to achieve the above object, the present invention provides a method for controlling power load based on partition monitoring, comprising:
inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas;
based on setting edge computing equipment in the subareas, collecting power loads of power nodes in the subareas to obtain real-time power loads of a plurality of subareas;
acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
dividing the expected power supply load based on the real-time power loads of the sub-areas to obtain the expected power supply loads of the sub-areas, and constructing a load control strategy of each sub-area based on the real-time power loads and the expected power supply loads of the sub-areas;
And adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
Optionally, the predicting the power supply load in the unit time in the future based on the historical power load, the historical weather information and the weather forecast information, to obtain the expected power supply load includes:
acquiring power supply data from the historical power load to obtain a historical power supply load;
constructing a meteorological power supply function according to the historical weather information and the historical power supply load;
and importing the weather forecast information into the meteorological power supply function, and predicting the power supply load in unit time in the future to obtain the expected power load.
Optionally, the dividing the expected power supply load based on the real-time power loads of the multiple subareas, to obtain the expected power supply loads of the multiple subareas, includes:
collecting the real-time power loads of the plurality of subareas to obtain a total power load;
acquiring the ratio of the real-time power load to the total power load of each sub-area to obtain the real-time power load duty ratio of a plurality of sub-areas;
Dividing the expected power supply load based on the real-time power load duty ratio of the plurality of subareas to obtain the expected power supply load of the plurality of subareas.
Optionally, the constructing a load control strategy of each sub-region based on the real-time power load and the desired power supply load of the sub-region includes:
acquiring the total load amount of the real-time power load in unit time in the future to obtain the expected power load;
subtracting the value of the corresponding expected power supply load from the value of the expected power supply load of each subarea to obtain load adjustment values of a plurality of subareas;
if the load adjustment value is zero, stabilizing the expected power supply load of the corresponding subarea through preset power storage and release equipment, and constructing a load control strategy of each subarea;
if the load adjustment value is a positive value, stabilizing the expected power supply load of the corresponding subarea through the power storage and release equipment, and storing the load of the load adjustment value by utilizing the power storage and release equipment to construct a load control strategy of each subarea;
and if the load adjustment value is a negative value, stabilizing the expected power supply load of the corresponding subarea through the storage and release equipment, supplying power to the corresponding subarea through the preset power generation equipment, and constructing a load control strategy of each subarea.
Optionally, the stabilizing, by the preset storage and discharge device, the expected power supply load of the corresponding subarea includes:
acquiring an expected power supply load of a target sub-region at a target moment to obtain an instant power supply load;
judging whether the real-time power load of the target subarea is larger than the instant power supply load or not;
if the power load is larger than the target subarea, storing redundant real-time power loads of the target subarea through the power storage and discharge equipment;
if the power load is smaller than the target subarea, providing the power load missing from the target subarea through the power storage and discharge equipment;
if equal, no operation is performed.
Optionally, the step of collecting the power loads of the power nodes in the subareas based on setting the edge computing devices in the subareas to obtain real-time power loads of a plurality of subareas includes:
acquiring initial power loads of a plurality of subareas by the power loads in the power nodes in the subareas of the edge computing equipment set;
comparing the initial power loads of the plurality of subareas, inquiring abnormal values in the initial power loads, and correcting to obtain processing power loads of the plurality of subareas;
traversing the processing power loads of the plurality of subareas, acquiring a missing value in the processing power loads, and complementing the missing value to obtain real-time power loads of the plurality of subareas.
Optionally, after the collecting the power loads of the power nodes in the subareas based on the setting of the edge computing devices in the subareas, obtaining the real-time power loads of the subareas, the method further includes:
storing the real-time power loads of the sub-areas into a preset data storage library respectively.
In order to solve the above problems, the present invention further provides a power load control device based on partition monitoring, the device comprising:
the regional division module is used for inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into regions to obtain power nodes of a plurality of subregions;
the load acquisition module is used for collecting the power loads of the power nodes in the subareas based on the edge computing equipment arranged in the subareas to obtain real-time power loads of the subareas; acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
the strategy construction module is used for dividing the expected power supply load based on the real-time power loads of the subareas to obtain expected power supply loads of the subareas, and constructing a load control strategy of each subarea based on the real-time power loads of the subareas and the expected power supply loads;
And the load monitoring module is used for adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the partition monitoring based power load regulation method as described above.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium including a storage data area storing created data and a storage program area storing a computer program; wherein the computer program, when executed by a processor, implements the partition monitoring-based power load regulation method as described above.
According to the embodiment of the invention, each power node in a power grid is queried through a preset power grid monitoring instruction, the power nodes are divided into areas to obtain power nodes of a plurality of subareas, the power loads of the power nodes in the subareas are collected based on setting edge computing equipment in the subareas to obtain real-time power loads of the subareas, the subareas are divided into areas, then historical power loads in the power grid are obtained, historical weather information and weather forecast information are queried, power supply loads in unit time in future are predicted based on the historical power loads, the historical weather information and the weather forecast information to obtain expected power supply loads, the expected power supply loads are divided based on the real-time power loads of the subareas to obtain expected power supply loads of the subareas, a load control strategy of each subarea is constructed based on the real-time power loads and the expected power supply loads of the subareas, the aim of constructing the subarea load control strategy obtained after each division is achieved, and finally the power storage equipment and the power generation equipment of each subarea are adjusted through each load control strategy, and the power loads are monitored to obtain load monitoring data of each subarea. Therefore, the power load regulation and control method, the device, the electronic equipment and the computer readable storage medium based on partition monitoring provided by the invention have the advantages that the power nodes are divided to obtain the plurality of subareas, then, an independent load control strategy is constructed for each subarea, the power load in each subarea is controlled by using the load control strategy, the power load is monitored, and the regulation and control efficiency of the power load is improved.
Drawings
FIG. 1 is a schematic flow chart of a method for regulating and controlling power load based on partition monitoring according to an embodiment of the invention;
FIG. 2 is a schematic block diagram of a power load control device based on partition monitoring according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an internal structure of an electronic device for implementing a partition monitoring-based power load regulation method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a power load regulation and control method based on partition monitoring. The execution subject of the partition monitoring-based power load regulation method includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, 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. In other words, the partition monitoring-based power load regulation method may be performed by software or hardware installed on a remote device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a flow chart of a power load regulation method based on partition monitoring according to an embodiment of the invention is shown. In this embodiment, the method for regulating and controlling the power load based on the partition monitoring includes the following steps S1 to S5:
s1, inquiring each power node in a power grid through a preset power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas.
In the embodiment of the invention, the power grid monitoring instruction is an instruction for comprehensively knowing and mastering the running state and performance of the power grid so as to ensure the stability, reliability and high efficiency of electric quantity supply, and meanwhile, the invention also provides data support and decision basis for the intelligent, automatic and sustainable development of the power grid.
Further, the power node is a monitorable node, is a key position in the power grid, can be used as a connection point in the power grid, is usually located at a junction or a branch point of a power transmission line or a power distribution network, and can acquire more accurate power data.
Wherein each power node may represent a particular location in the power grid, such as a power plant, substation, load center, substation, etc.
According to the embodiment of the invention, the load characteristics and the demand differences of each area can be more accurately known by carrying out monitoring in the areas, and the load regulation strategy is correspondingly formulated. The method is beneficial to improving the load management effect of the power grid, optimizing the supply-demand relationship, improving the energy utilization efficiency and ensuring the reliability and stability of the power grid.
Further, by dividing each node into areas to obtain power nodes of a plurality of subareas, large-scale power resources can be divided according to the areas to perform distributed management, and meanwhile, a cloud control center can be used for integrally controlling the areas to achieve mutual sharing among the areas.
In another embodiment of the invention, the method can also be used for monitoring the execution of industries, voltage class, user, load resource conditions and the like. Wherein, abnormal users can be directly managed and controlled.
S2, based on the fact that edge computing equipment is arranged in the subareas, the power loads of the power nodes in the subareas are collected, and real-time power loads of the subareas are obtained.
In the embodiment of the invention, the edge computing device refers to a computing device in an edge network which is located close to an end user or a data source. Edge computing brings the computing power as close as possible to the data sources and end devices compared to traditional cloud computing modes to achieve lower latency, faster response time, and higher data processing efficiency.
Further, the step of collecting the power loads of the power nodes in the subareas based on the setting of the edge computing devices in the subareas to obtain real-time power loads of a plurality of subareas comprises the following steps:
acquiring initial power loads of a plurality of subareas by the power loads in the power nodes in the subareas of the edge computing equipment set;
comparing the initial power loads of the plurality of subareas, inquiring abnormal values in the initial power loads, and correcting to obtain processing power loads of the plurality of subareas;
traversing the processing power loads of the plurality of subareas, acquiring a missing value in the processing power loads, and complementing the missing value to obtain real-time power loads of the plurality of subareas.
In the embodiment of the invention, the cleaning of the power data is realized by correcting the abnormal value and complementing the missing value of the power load, so that the tiny error in the directly acquired power load is avoided.
In the embodiment of the present invention, after the setting of the edge computing device in the subarea, the power loads of the power nodes in the subarea are collected to obtain the real-time power loads of the plurality of subareas, the method further includes:
Storing the real-time power loads of the sub-areas into a preset data storage library respectively.
Further, the real-time power loads of the sub-areas are respectively stored in a preset data storage library, so that data loss can be avoided, data safety is ensured, and management and mining of potential data resources can be facilitated.
In the embodiment of the invention, the power load of the power grid can be calculated by acquiring the power load of each sub-area, so that the power load of the power grid can be calculated conveniently and the load state of the power grid can be estimated.
And S3, acquiring the historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting the power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain the expected power supply load.
In the embodiment of the invention, the historical power load refers to the record of relevant parameters such as electric quantity, voltage, current, power factor, frequency and the like of the power grid in the past period of time. The historical weather information refers to weather information of an area where the power grid is located when a certain time period passes.
Similarly, the weather forecast information refers to weather information of a future period of time in an area where the power grid is located, and the weather information comprises indexes such as rainfall, air temperature, humidity, wind direction and the like, and is of great importance for the power grid powered by new energy such as solar energy, wind energy and the like.
In the embodiment of the present invention, the predicting the power supply load in the unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain the expected power supply load includes:
acquiring power supply data from the historical power load to obtain a historical power supply load;
constructing a meteorological power supply function according to the historical weather information and the historical power supply load;
and importing the weather forecast information into the meteorological power supply function, and predicting the power supply load in unit time in the future to obtain the expected power load.
Further, the historical power supply load refers to power supply data provided by a power generation system accepted in the power grid in the past period of time.
In the embodiment of the invention, because the power grid environment is a power grid environment under new energy, and power generation means such as solar power generation and wind power generation which are easily affected by weather are included, correlation exists between weather data and power supply data, and a function related to weather and power supply can be constructed according to the correlation, so that power supply data of a period of time in the future can be predicted.
S4, dividing the expected power supply load based on the real-time power loads of the subareas to obtain expected power supply loads of the subareas, and constructing a load control strategy of each subarea based on the real-time power loads of the subareas and the expected power supply loads.
In the embodiment of the invention, the load control strategy refers to various technologies and methods for managing and controlling the load in the power grid, and the power grid can realize load balance, scheduling and optimization through a reasonable load control strategy so as to ensure the stable operation and efficient utilization of the power grid.
Such as peak-to-valley analysis and load balancing, peak-to-peak electricity price regulation, energy consumption management and optimization, load scheduling and prediction, load response, distributed energy management, and the like.
In an embodiment of the present invention, the dividing the expected power supply load based on the real-time power loads of the plurality of sub-areas to obtain the expected power supply loads of the plurality of sub-areas includes:
collecting the real-time power loads of the plurality of subareas to obtain a total power load;
acquiring the ratio of the real-time power load to the total power load of each sub-area to obtain the real-time power load duty ratio of a plurality of sub-areas;
dividing the expected power supply load based on the real-time power load duty ratio of the plurality of subareas to obtain the expected power supply load of the plurality of subareas.
Further, the constructing a load control strategy for each sub-region based on the real-time power load and the desired power load of the sub-region includes:
Acquiring the total load amount of the real-time power load in unit time in the future to obtain the expected power load;
subtracting the value of the corresponding expected power supply load from the value of the expected power supply load of each subarea to obtain load adjustment values of a plurality of subareas;
if the load adjustment value is zero, stabilizing the expected power supply load of the corresponding subarea through preset power storage and release equipment, and constructing a load control strategy of each subarea;
if the load adjustment value is a positive value, stabilizing the expected power supply load of the corresponding subarea through the power storage and release equipment, and storing the load of the load adjustment value by utilizing the power storage and release equipment to construct a load control strategy of each subarea;
and if the load adjustment value is a negative value, stabilizing the expected power supply load of the corresponding subarea through the storage and release equipment, supplying power to the corresponding subarea through the preset power generation equipment, and constructing a load control strategy of each subarea.
Specifically, the power stabilization means that the power supply and demand balance is realized by adjusting the power supply and demand to balance the power load difference in the peak period and the valley period, so that the condition of insufficient power or excessive power in the power grid due to the peak-valley difference is avoided.
In an embodiment of the present invention, the stabilizing, by a preset storage and discharge device, an expected power supply load of a corresponding sub-area includes:
acquiring an expected power supply load of a target sub-region at a target moment to obtain an instant power supply load;
judging whether the real-time power load of the target subarea is larger than the instant power supply load or not;
if the power load is larger than the target subarea, storing redundant real-time power loads of the target subarea through the power storage and discharge equipment;
if the power load is smaller than the target subarea, providing the power load missing from the target subarea through the power storage and discharge equipment;
if equal, no operation is performed.
In particular, the real-time power load of each subarea is only used for the situation that the power grid power consumption rate is not changed along with weather, namely, the power consumption rate is not changed along with the change of weather, so that the real-time power load fluctuation is neglected.
In another embodiment of the present invention, if the real-time power load is transformed according to weather and temperature, after the real-time power load is obtained, the method further includes predicting a predicted power load in a future unit time according to the real-time power load, the historical weather data and the historical power data, and comparing the predicted power load in the future unit time with the expected power load to construct a load control strategy.
Wherein the predicted electrical load is considered from the power consumer and the desired electrical load is considered from the power generator.
And S5, adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
In the embodiment of the invention, the power storage and release equipment and the power generation equipment of each subarea are regulated through the load control strategy, the redundant power resources are stored when the power resources overflow, and the power utilization gap is filled through the power generation equipment when the power resources are insufficient.
Further, the electricity consumption data of each subarea is monitored, and the charge monitoring data of each subarea can be obtained through electric energy monitoring equipment arranged in each subarea, wherein the electric energy monitoring equipment comprises an electric energy meter, an intelligent ammeter, an electric energy quality monitor and the like.
According to the embodiment of the invention, each power node in a power grid is queried through a preset power grid monitoring instruction, the power nodes are divided into areas to obtain power nodes of a plurality of subareas, the power loads of the power nodes in the subareas are collected based on setting edge computing equipment in the subareas to obtain real-time power loads of the subareas, the subareas are divided into areas, then historical power loads in the power grid are obtained, historical weather information and weather forecast information are queried, power supply loads in unit time in future are predicted based on the historical power loads, the historical weather information and the weather forecast information to obtain expected power supply loads, the expected power supply loads are divided based on the real-time power loads of the subareas to obtain expected power supply loads of the subareas, a load control strategy of each subarea is constructed based on the real-time power loads and the expected power supply loads of the subareas, the aim of constructing the subarea load control strategy obtained after each division is achieved, and finally the power storage equipment and the power generation equipment of each subarea are adjusted through each load control strategy, and the power loads are monitored to obtain load monitoring data of each subarea. Therefore, the power load regulation and control method, the device, the electronic equipment and the computer readable storage medium based on partition monitoring provided by the invention have the advantages that the power nodes are divided to obtain the plurality of subareas, then, an independent load control strategy is constructed for each subarea, the power load in each subarea is controlled by using the load control strategy, the power load is monitored, and the regulation and control efficiency of the power load is improved.
FIG. 2 is a schematic block diagram of a power load control device based on zone monitoring according to the present invention.
The power load control device 100 based on partition monitoring according to the present invention may be installed in an electronic device. The power load regulation device based on partition monitoring may include a first region division module 101, a load acquisition module 102, a policy construction module 103, and a load monitoring module 104 according to the implemented functions. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the regional division module 101 is configured to query each power node in a power grid through a preset power grid monitoring instruction, and divide the power nodes into regions to obtain power nodes of a plurality of subregions;
the load acquisition module 102 is configured to aggregate power loads of power nodes in the subareas based on setting edge computing devices in the subareas, so as to obtain real-time power loads of a plurality of subareas; acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
A policy construction module 103, configured to divide the expected power supply loads based on the real-time power loads of the multiple sub-areas, obtain the expected power supply loads of the multiple sub-areas, and construct a load control policy of each sub-area based on the real-time power loads and the expected power supply loads of the sub-areas;
and the load monitoring module 104 is configured to adjust the storage and discharge equipment and the power generation equipment of each sub-area through each load control strategy, and monitor the power load to obtain load monitoring data of each sub-area.
In detail, each module in the partition monitoring-based power load control device 100 in the embodiment of the present invention adopts the same technical means as the partition monitoring-based power load control method described in fig. 1 and can produce the same technical effects, and is not described herein.
Fig. 3 is a schematic structural diagram of an electronic device for implementing the partition monitoring-based power load regulation method according to the present invention.
The electronic device may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a power load regulation program based on partition monitoring.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory 11 (for example, executes a power load regulation program based on partition monitoring, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device and process data.
The memory 11 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of power load control programs based on partition monitoring, but also for temporarily storing data that has been output or is to be output.
The communication bus 12 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the electronic device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The partition monitoring based power load regulation program stored by the memory 11 in the electronic device is a combination of a plurality of computer programs, which when run in the processor 10, can realize:
Inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas;
based on setting edge computing equipment in the subareas, collecting power loads of power nodes in the subareas to obtain real-time power loads of a plurality of subareas;
acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
dividing the expected power supply load based on the real-time power loads of the sub-areas to obtain the expected power supply loads of the sub-areas, and constructing a load control strategy of each sub-area based on the real-time power loads and the expected power supply loads of the sub-areas;
and adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
In particular, the specific implementation method of the processor 10 on the computer program may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a non-volatile computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas;
based on setting edge computing equipment in the subareas, collecting power loads of power nodes in the subareas to obtain real-time power loads of a plurality of subareas;
Acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
dividing the expected power supply load based on the real-time power loads of the sub-areas to obtain the expected power supply loads of the sub-areas, and constructing a load control strategy of each sub-area based on the real-time power loads and the expected power supply loads of the sub-areas;
and adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A method for regulating and controlling power load based on partition monitoring, the method comprising:
Inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into areas to obtain power nodes of a plurality of subareas;
based on setting edge computing equipment in the subareas, collecting power loads of power nodes in the subareas to obtain real-time power loads of a plurality of subareas;
acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
dividing the expected power supply load based on the real-time power loads of the sub-areas to obtain the expected power supply loads of the sub-areas, and constructing a load control strategy of each sub-area based on the real-time power loads and the expected power supply loads of the sub-areas;
and adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
2. The method for regulating and controlling power load based on partition monitoring according to claim 1, wherein predicting power supply load in a future unit time based on the historical power load, historical weather information and weather forecast information to obtain a desired power supply load comprises:
Acquiring power supply data from the historical power load to obtain a historical power supply load;
constructing a meteorological power supply function according to the historical weather information and the historical power supply load;
and importing the weather forecast information into the meteorological power supply function, and predicting the power supply load in unit time in the future to obtain the expected power load.
3. The partition-monitoring-based power load regulation method of claim 1, wherein the dividing the desired power supply load based on the real-time power loads of the plurality of sub-regions to obtain the desired power supply loads of the plurality of sub-regions comprises:
collecting the real-time power loads of the plurality of subareas to obtain a total power load;
acquiring the ratio of the real-time power load to the total power load of each sub-area to obtain the real-time power load duty ratio of a plurality of sub-areas;
dividing the expected power supply load based on the real-time power load duty ratio of the plurality of subareas to obtain the expected power supply load of the plurality of subareas.
4. The partition-monitoring-based power load regulation method of claim 1, wherein the constructing a load control strategy for each sub-region based on the real-time power load and the desired power supply load of the sub-region comprises:
Acquiring the total load amount of the real-time power load in unit time in the future to obtain the expected power load;
subtracting the value of the corresponding expected power supply load from the value of the expected power supply load of each subarea to obtain load adjustment values of a plurality of subareas;
if the load adjustment value is zero, stabilizing the expected power supply load of the corresponding subarea through preset power storage and release equipment, and constructing a load control strategy of each subarea;
if the load adjustment value is a positive value, stabilizing the expected power supply load of the corresponding subarea through the power storage and release equipment, and storing the load of the load adjustment value by utilizing the power storage and release equipment to construct a load control strategy of each subarea;
and if the load adjustment value is a negative value, stabilizing the expected power supply load of the corresponding subarea through the storage and release equipment, supplying power to the corresponding subarea through the preset power generation equipment, and constructing a load control strategy of each subarea.
5. The partition monitoring-based power load regulation method of claim 4, wherein the stabilizing the desired power supply load of the corresponding sub-area by the preset power storage and discharge device comprises:
acquiring an expected power supply load of a target sub-region at a target moment to obtain an instant power supply load;
Judging whether the real-time power load of the target subarea is larger than the instant power supply load or not;
if the power load is larger than the target subarea, storing redundant real-time power loads of the target subarea through the power storage and discharge equipment;
if the power load is smaller than the target subarea, providing the power load missing from the target subarea through the power storage and discharge equipment;
if equal, no operation is performed.
6. The partition monitoring-based power load regulation method of claim 1, wherein the aggregating the power loads of the power nodes in the sub-regions to obtain the real-time power loads of the plurality of sub-regions based on the setting of the edge computing device in the sub-regions comprises:
acquiring initial power loads of a plurality of subareas by the power loads in the power nodes in the subareas of the edge computing equipment set;
comparing the initial power loads of the plurality of subareas, inquiring abnormal values in the initial power loads, and correcting to obtain processing power loads of the plurality of subareas;
traversing the processing power loads of the plurality of subareas, acquiring a missing value in the processing power loads, and complementing the missing value to obtain real-time power loads of the plurality of subareas.
7. The partition-monitoring-based power load regulation method of any one of claims 1 to 6, wherein the method further comprises, after the collecting power loads of the power nodes in the sub-area based on setting the edge computing device in the sub-area to obtain real-time power loads of the plurality of sub-areas:
storing the real-time power loads of the sub-areas into a preset data storage library respectively.
8. An electrical load regulation device based on zone monitoring, the device comprising:
the regional division module is used for inquiring each power node in the power grid through a preset power grid monitoring instruction, and dividing the power nodes into regions to obtain power nodes of a plurality of subregions;
the load acquisition module is used for collecting the power loads of the power nodes in the subareas based on the edge computing equipment arranged in the subareas to obtain real-time power loads of the subareas; acquiring a historical power load in the power grid, inquiring historical weather information and weather forecast information, and predicting a power supply load in unit time in the future based on the historical power load, the historical weather information and the weather forecast information to obtain an expected power supply load;
The strategy construction module is used for dividing the expected power supply load based on the real-time power loads of the subareas to obtain expected power supply loads of the subareas, and constructing a load control strategy of each subarea based on the real-time power loads of the subareas and the expected power supply loads;
and the load monitoring module is used for adjusting the storage and discharge equipment and the power generation equipment of each subarea through each load control strategy, and monitoring the power load to obtain load monitoring data of each subarea.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the partition monitoring-based power load regulation method of any one of claims 1 to 7.
10. A computer-readable storage medium comprising a storage data area storing created data and a storage program area storing a computer program; wherein the computer program, when executed by a processor, implements the partition monitoring based power load regulation method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311806169.1A CN117767316A (en) | 2023-12-26 | 2023-12-26 | Partition monitoring-based power load regulation and control method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311806169.1A CN117767316A (en) | 2023-12-26 | 2023-12-26 | Partition monitoring-based power load regulation and control method, device, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117767316A true CN117767316A (en) | 2024-03-26 |
Family
ID=90325290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311806169.1A Pending CN117767316A (en) | 2023-12-26 | 2023-12-26 | Partition monitoring-based power load regulation and control method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117767316A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118074140A (en) * | 2024-04-18 | 2024-05-24 | 宁波市电力设计院有限公司 | Planning method and planning system for optimizing and enhancing reliability of power distribution network |
-
2023
- 2023-12-26 CN CN202311806169.1A patent/CN117767316A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118074140A (en) * | 2024-04-18 | 2024-05-24 | 宁波市电力设计院有限公司 | Planning method and planning system for optimizing and enhancing reliability of power distribution network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation | |
| US11107016B2 (en) | Augmented power control within a datacenter using predictive modeling | |
| Lin et al. | Situation awareness of active distribution network: Roadmap, technologies, and bottlenecks | |
| CN101310227A (en) | Predictive contract system and method | |
| CN117767316A (en) | Partition monitoring-based power load regulation and control method, device, equipment and medium | |
| Behboodi et al. | Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach | |
| Dieu et al. | Improved merit order and augmented Lagrange Hopfield network for short term hydrothermal scheduling | |
| US20180197252A1 (en) | Methods And Systems For A Renewable Electricity System | |
| Cao et al. | Data Center sustainability: Revisits and outlooks | |
| CN116843152A (en) | Electric power-data service-oriented Internet data center double-layer planning method | |
| CN110535143B (en) | Energy management method and device facing intelligent residence dynamic demand response | |
| WO2017154116A1 (en) | Power control device, power control system, power control method, and program | |
| Mammoli et al. | Distributed control strategies for high-penetration commercial-building-scale thermal storage | |
| Barooah | Virtual energy storage from flexible loads: Distributed control with QoS constraints | |
| Zhang et al. | Economic evaluation of energy storage integrated with wind power | |
| KR101775269B1 (en) | Management and exchange system for distributed generations and power amount allocation method thereof | |
| Tandukar et al. | Real-time operation of a data center as virtual power plant considering battery lifetime | |
| CN114156883A (en) | Power and standby cooperative optimization modeling method considering source-load double randomness | |
| Wang et al. | Microgrid distributed energy resources planning based on a long-term dynamic microsimulation | |
| Wang et al. | Electricity and carbon-aware task scheduling in geo-distributed internet data centers | |
| Guo et al. | A periodic requests dispatcher for energy optimization of hybrid powered data centers | |
| US20230275455A1 (en) | Systems and Methods of Energy Storage System Operation | |
| US20240104478A1 (en) | Data center management system | |
| Dhabai et al. | An Approach Towards Mitigation of Renewable Energy Curtailment | |
| US20230394602A1 (en) | Systems and methods for managing electricity supply from demand |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |