CN116345481A - Power factor optimization method, device, equipment and storage medium - Google Patents
Power factor optimization method, device, equipment and storage medium Download PDFInfo
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- CN116345481A CN116345481A CN202310265335.5A CN202310265335A CN116345481A CN 116345481 A CN116345481 A CN 116345481A CN 202310265335 A CN202310265335 A CN 202310265335A CN 116345481 A CN116345481 A CN 116345481A
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- 238000005457 optimization Methods 0.000 title claims abstract description 46
- 238000010248 power generation Methods 0.000 claims abstract description 30
- 230000005611 electricity Effects 0.000 claims description 146
- 238000010801 machine learning Methods 0.000 claims description 7
- 238000013507 mapping Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The invention relates to the technical field of photovoltaic equipment, in particular to a power factor optimization method, a device, equipment and a storage medium, wherein the method comprises the following steps: when the initial power factor of the transformer does not exceed the preset power factor, acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system; determining reactive compensation distribution values of all the low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value; the method and the device can accurately determine the reactive power compensation distribution value of each low-voltage terminal device by combining the reactive power compensation upper limit and the reactive power compensation total value, improve the accuracy of power factor optimization and improve the reactive power compensation efficiency compared with the existing power factor optimization mode.
Description
Technical Field
The present invention relates to the field of photovoltaic devices, and in particular, to a power factor optimization method, apparatus, device, and storage medium.
Background
At present, when electric energy generated by a photovoltaic power generation system is transmitted to a user through a power grid, reactive power is inevitably generated, so that a power factor is reduced, the line loss of the power grid and the loss of a transformer are increased due to the lower power factor, and the photoelectric conversion efficiency of a power station is reduced.
The existing photovoltaic power generation system carries out reactive compensation by installing a transformer low-voltage capacitor cabinet, improves the power factor, but loads of different low-voltage terminal equipment are inconsistent, the required reactive compensation is inconsistent, and the reactive compensation distributed to all low-voltage terminal equipment through the transformer low-voltage capacitor cabinet is identical, so that the power factor optimization accuracy is lower, and the reactive compensation efficiency is lower.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a power factor optimization method, a device, equipment and a storage medium, and aims to solve the technical problem that in the prior art, the accuracy of a mode of power factor optimization through a transformer low-voltage capacitor cabinet is low.
To achieve the above object, the present invention provides a power factor optimization method, which includes the steps of:
when the initial power factor of the transformer does not exceed the preset power factor, acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system;
determining reactive compensation distribution values of all low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value;
The initial power factor of the transformer is optimized based on the reactive compensation distribution value.
Optionally, the step of determining the reactive compensation distribution value of each low-voltage terminal device according to the reactive compensation total value and the reactive compensation upper limit value includes:
determining the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value;
dividing the reactive compensation total value based on the reactive compensation duty ratio to obtain a reactive compensation dividing value;
acquiring the number of the low-voltage terminal devices corresponding to each photovoltaic inverter, and acquiring a daily electricity consumption curve of each low-voltage terminal device;
and distributing the reactive compensation division values based on the number of the low-voltage terminal devices and the daily electricity utilization curve to obtain reactive compensation distribution values corresponding to the low-voltage terminal devices.
Optionally, after the step of optimizing the initial power factor of the transformer based on the reactive compensation distribution value, the method further comprises:
acquiring a power supply area corresponding to the transformer, and acquiring historical power consumption information corresponding to the power supply area;
determining an electricity consumption trend through a preset machine learning model based on the historical electricity consumption, and grading according to the electricity consumption trend;
And determining the power supply quantity of the power supply area according to the grading result, and controlling the photovoltaic power generation system to supply power to the power supply area according to the power supply quantity.
Optionally, after the step of determining the power supply amount of the power supply area according to the grading result and controlling the photovoltaic power generation system to supply power to the power supply area according to the power supply amount, the method further includes:
acquiring family member information of each resident in the power supply area, and acquiring current power consumption corresponding to the resident;
determining a standard electricity consumption range according to the family member information, and judging whether the current electricity consumption is in the standard electricity consumption range or not;
if not, checking the electricity utilization of the resident.
Optionally, before the step of checking the householder for electricity consumption, the method further includes:
marking each resident of which the current electricity consumption exceeds the standard electricity consumption range to obtain a first marked resident, and obtaining the position information of the first marked resident;
marking each resident with the current electricity consumption lower than the standard electricity consumption range to obtain a second marked resident, and obtaining the position information of the second marked resident;
Judging whether the position information of the second marked resident exists in a preset range or not by taking the position information of the first marked resident as a circle center;
if yes, correspondingly, the step of checking the electricity consumption of the resident comprises the following steps:
and carrying out relevance electricity utilization check on the first marked resident and the second marked resident.
Optionally, the step of performing the relevance electricity utilization check on the first marked resident and the second marked resident includes:
acquiring an electrical equipment list of the first marked resident, and determining a first preset electricity consumption of the first marked resident according to the electrical equipment list;
acquiring an electrical equipment list of the second marked resident, and determining a second preset electricity consumption of the second marked resident according to the electrical equipment list;
and carrying out electricity consumption checking according to the current electricity consumption of the first marked resident, the first preset electricity consumption, the current electricity consumption of the second marked resident and the second preset electricity consumption.
Optionally, the step of obtaining the electrical equipment list of the first marked resident and determining the first preset electricity consumption of the first marked resident according to the electrical equipment list includes:
Acquiring an electrical equipment list of the first marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list;
determining a first preset electricity consumption of the first marked resident based on the preset use period and the use power;
correspondingly, the step of obtaining the electrical equipment list of the second marked resident and determining the second preset electricity consumption of the second marked resident according to the electrical equipment list comprises the following steps:
acquiring an electrical equipment list of the second marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list;
and determining a second preset electricity consumption amount of the second marked resident based on the preset using time period and the using power.
In addition, in order to achieve the above object, the present invention also proposes a power factor optimizing apparatus, the apparatus comprising:
the reactive compensation acquisition module is used for acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system when the initial power factor of the transformer does not exceed the preset power factor;
the reactive compensation distribution module is used for determining reactive compensation distribution values of all the low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value;
And the power factor optimization module is used for optimizing the initial power factor of the transformer based on the reactive power compensation distribution value.
In addition, to achieve the above object, the present invention also proposes a power factor optimizing apparatus, the apparatus comprising: a memory, a processor, and a power factor optimization program stored on the memory and executable on the processor, the power factor optimization program configured to implement the steps of the power factor optimization method as described above.
In addition, to achieve the above object, the present invention also proposes a storage medium having stored thereon a power factor optimization program which, when executed by a processor, implements the steps of the power factor optimization method as described above.
When the initial power factor of the transformer does not exceed a preset power factor, the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system are obtained; determining reactive compensation distribution values of all low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value; the initial power factor of the transformer is optimized based on the reactive compensation distribution value. The invention firstly obtains the reactive compensation upper limit of the photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system, then determines the reactive compensation distribution value distributed to each low-voltage terminal device according to the reactive compensation upper limit and the reactive compensation total value, and finally optimizes the initial power factor based on the reactive compensation distribution value.
Drawings
FIG. 1 is a schematic diagram of a power factor optimization device in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of the power factor optimization method of the present invention;
fig. 3 is a schematic flow chart of a second embodiment of the power factor optimization method of the present invention;
fig. 4 is a schematic flow chart of a third embodiment of the power factor optimization method of the present invention;
fig. 5 is a block diagram of a power factor optimizing apparatus according to a first 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.
Referring to fig. 1, fig. 1 is a schematic diagram of a power factor optimization device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the power factor optimizing apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the power factor optimization device, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a power factor optimization program may be included in the memory 1005 as one type of storage medium.
In the power factor optimization device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the power factor optimizing apparatus of the present invention may be provided in the power factor optimizing apparatus, which invokes the power factor optimizing program stored in the memory 1005 through the processor 1001 and executes the power factor optimizing method provided by the embodiment of the present invention.
An embodiment of the present invention provides a power factor optimization method, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the power factor optimization method of the present invention.
In this embodiment, the power factor optimization method includes the following steps:
Step S10: and when the initial power factor of the transformer does not exceed the preset power factor, acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system.
It should be noted that, the method of the embodiment may be applied in a scenario of power factor optimization of a photovoltaic power generation system, or in other scenarios of power factor optimization requiring reactive compensation. The execution body of the embodiment may be a power factor optimization device having data processing, network communication, and program running functions, such as a power factor controller, or other devices capable of achieving the same or similar functions. Here, the present embodiment and the following embodiments will be specifically described with reference to the above-described power factor optimizing apparatus (hereinafter referred to as "apparatus").
It can be understood that the initial power factor is a power factor set when the transformers are connected to the power grid, and because loads connected to different transformers may be different, reactive compensation obtained according to the loads when the transformers are connected to the power grid is also different, and thus the initial power factor of each transformer may be different.
It should be understood that the load, that is, the subsequent low-voltage terminal device, such as a user home appliance, a market consumer, etc., is not limited in this embodiment, the preset power factor may be set according to the load connected to the transformer, for example, the power efficiency of the user home appliance is higher, and the preset power factor may be set higher.
It should be emphasized that in the photovoltaic power generation system, the photovoltaic power generation system further comprises a photovoltaic inverter, the photovoltaic panel converts the received solar energy into direct current, the direct current is converted into alternating current through the photovoltaic inverter, and finally the alternating current voltage is changed through a transformer and transmitted to each low-voltage terminal device, in the photovoltaic inverter, reactive compensation is required, and as the reactive compensation capacities of the photovoltaic inverters of different models are different, the reactive compensation upper limit value is further different, a plurality of photovoltaic inverters and transformers can be arranged in the photovoltaic power generation system, and the reactive compensation total value of the photovoltaic power generation system can be the sum of reactive compensation values of the photovoltaic inverters in the system.
In a specific implementation, when the initial power factor of the transformer does not exceed the preset power factor, the device can acquire the reactive compensation upper limit value of the photovoltaic inverter in the photovoltaic power generation system and the reactive compensation total value of the photovoltaic power generation system.
Step S20: and determining reactive compensation distribution values of all the low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value.
It should be noted that, the transformer may be connected with a plurality of low voltage terminal devices, and the reactive power compensation required by different low voltage terminal devices is different due to different circuit load properties of different connections, and the reactive power compensation distribution value may be an optimal reactive power compensation value of each low voltage terminal device.
Further, considering that the use time of each low-voltage terminal device is different, if the use time of a certain low-voltage terminal device is shorter, reactive compensation for the low-voltage terminal device can be reduced, further reactive compensation can be more accurately performed, and the resource utilization rate is improved, and the specific implementation manner is that step S20 is as follows: comprising the following steps:
step S21: and determining the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value.
The above-mentioned reactive compensation duty ratio is a duty ratio of the reactive compensation upper limit value in the reactive compensation total value, and the larger the reactive compensation upper limit value of the inverter is, the larger the corresponding reactive compensation duty ratio is, and in this embodiment, the above-mentioned apparatus may determine the duty ratio in the reactive compensation total value according to the reactive compensation capabilities (i.e., the above-mentioned reactive compensation upper limit value) of different inverters.
Step S22: dividing the reactive compensation total value based on the reactive compensation duty ratio to obtain a reactive compensation dividing value.
It can be understood that the reactive compensation dividing value can be a value that each inverter needs to perform reactive compensation, and the device divides the reactive compensation according to the upper limit value of reactive compensation, so that the reactive compensation of each inverter is within the bearing capacity, and the inverter is prevented from being damaged.
Step S23: and obtaining the number of the low-voltage terminal devices corresponding to the photovoltaic inverters, and obtaining a daily electricity consumption curve of each low-voltage terminal device.
Step S24: and distributing the reactive compensation division values based on the number of the low-voltage terminal devices and the daily electricity utilization curve to obtain reactive compensation distribution values corresponding to the low-voltage terminal devices.
It should be understood that the daily electricity consumption curve may represent electricity consumption conditions of the low-voltage terminal devices, the use time may be determined according to the daily electricity consumption curve, and the electricity utilization benefit of each low-voltage terminal device may be determined according to the use time and the electricity consumption.
It should be noted that, the above-mentioned equipment can distribute reactive compensation value according to the live time, for example low-voltage terminal equipment a is not used in 12 am to 7 am, low-voltage terminal equipment B is continuously used in 12 am to 7 am, then the above-mentioned equipment can stop low-voltage terminal equipment a from 12 am to 7 am to perform reactive compensation according to the live time, and increase reactive compensation value to low-voltage terminal equipment B in 12 am to 7 am, and then promote reactive compensation distribution value of low-voltage terminal equipment B when using.
Meanwhile, the reactive compensation distribution can be performed according to the number of the low-voltage terminal devices connected with the photovoltaic inverter, for example, the number of the low-voltage terminal devices connected with the photovoltaic inverter C is more, and the number of the low-voltage terminal devices connected with the photovoltaic inverter D is less, so that the reactive compensation value of the low-voltage terminal devices connected with the photovoltaic inverter C can be increased, and the reactive compensation value of the low-voltage terminal devices connected with the photovoltaic inverter D can be reduced.
In a specific implementation, the device can determine the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value, divide the reactive compensation total value according to the reactive compensation duty ratio, determine the reactive compensation dividing value of each photovoltaic inverter, acquire the low-voltage terminal devices and the quantity and daily power consumption curves connected with each photovoltaic inverter, and distribute the reactive compensation dividing values according to the quantity and daily power consumption curves of the low-voltage terminal devices to obtain the reactive compensation distribution value of each low-voltage terminal device.
Step S30: the initial power factor of the transformer is optimized based on the reactive compensation distribution value.
It should be understood that the optimization may be performed by capacitance and reactance, or by other components that can optimize the power factor, which is not limited in this embodiment, and in this embodiment, the device may determine parameters of the required capacitance or reactance according to each reactive compensation distribution value, and select the corresponding capacitance and reactance according to the parameters.
It should be noted that, the mapping relation table between the reactive compensation distribution value and the corresponding capacitance or reactance may be stored in the above device, the device may directly query the corresponding parameter according to the mapping relation table, and may adjust the mapping relation table according to the actual compensation condition of the capacitance or reactance, screen out the capacitance or reactance with the best actual compensation condition, and store the capacitance or reactance in the mapping relation.
In a specific implementation, the device can query the capacitance or reactance of the corresponding parameter in the mapping relation table based on the reactive compensation distribution value so as to optimize the power factor through the corresponding capacitance or reactance.
When the initial power factor of the transformer does not exceed a preset power factor, the method can acquire the reactive compensation upper limit value of each photovoltaic inverter in the photovoltaic power generation system and the reactive compensation total value of the photovoltaic power generation system, determine the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value, divide the reactive compensation total value according to the reactive compensation duty ratio, determine the reactive compensation dividing value of each photovoltaic inverter, acquire the low-voltage terminal equipment and the quantity and daily electricity consumption curves connected with each photovoltaic inverter, distribute each reactive compensation dividing value according to the quantity and daily electricity consumption curves of the low-voltage terminal equipment, acquire reactive compensation distributing values of each low-voltage terminal equipment, and inquire the capacitance or reactance of corresponding parameters in a mapping relation table based on the reactive compensation distributing values so as to perform power factor optimization through the corresponding capacitance or reactance. The reactive compensation upper limit of the photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system are obtained, the reactive compensation distribution value distributed to each low-voltage terminal device is determined according to the reactive compensation upper limit and the reactive compensation total value, and finally the initial power factor is optimized based on the reactive compensation distribution value.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the power factor optimization method according to the present invention.
Further, in view of the fact that the electric power required by different power supply areas is different, in order to improve the power supply capability of the upper photovoltaic power generation system, as shown in fig. 3, based on the first embodiment, after the step S30, the method further includes:
step S40: and acquiring a power supply area corresponding to the transformer, and acquiring historical power consumption information corresponding to the power supply area.
It should be noted that, the power supply areas of the different transformers are different, and the required power amounts of the different power supply areas may also be different, for example, the power consumption of the industrial area may be greater than the power consumption of the residential area.
It can be understood that the historical electricity information can be obtained through ammeter data of the power supply areas, but the operation is complicated in a mode of obtaining ammeter data, the efficiency is low, the equipment can directly obtain payment records of all the power supply areas, and corresponding historical electricity information is obtained through the payment records.
Step S50: and determining an electricity consumption trend through a preset machine learning model based on the historical electricity consumption, and grading according to the electricity consumption trend.
It should be understood that the foregoing preset machine learning model may determine the electricity consumption trend according to the electricity consumption in the historical electricity consumption information and the corresponding time information, where the electricity consumption trend may include the expected electricity consumption in several days in the future or the expected electricity consumption in the month in the future, which is not limited in this embodiment, and meanwhile, for the convenience of viewing by the user, the foregoing electricity consumption trend may be displayed in the form of a graph.
It should be noted that, the grading may be performed according to a slope of the power consumption trend curve, if the slope of the curve is higher, the more the power consumption is expected, the lower the slope is, the less the power consumption is expected, and the device may directly obtain the corresponding expected power consumption through the corresponding value of the curve.
Step S60: and determining the power supply quantity of the power supply area according to the grading result, and controlling the photovoltaic power generation system to supply power to the power supply area according to the power supply quantity.
For ease of understanding, the following illustrates that, for example, at the end of a month, the device determines that the expected power consumption of the power supply area G in the next month is relatively large through a preset machine learning model, and divides the power consumption trend of the power supply area G into a "first-level power supply area", so that the device may reserve the expected power consumption into the storage battery to ensure that the power consumption of the power supply area G is sufficient, and if the power consumption in the storage battery is lower than the expected power consumption, the device may prompt a worker to take precautionary measures in advance.
As another implementation manner of this embodiment, if the electric quantity of the storage battery is insufficient, the device may further determine an importance degree according to the power supply area, and adjust the estimated electric quantity according to the importance degree, for example, the power supply area F is a critical area such as a hospital, a fire station, etc., and the device may adjust the estimated electric quantity of the power supply area with low importance degree (an area with a small number of people such as a parking lot) to the estimated electric quantity of the power supply area F, so as to ensure that the electric quantity of the power supply area F is sufficient.
In a specific implementation, the device can acquire a power supply area corresponding to the transformer, acquire historical power consumption information corresponding to the power supply area, predict through a preset machine learning module based on the historical power consumption information, determine power consumption trend of the power supply area, and conduct grading according to the power consumption area, determine power supply quantity through grades corresponding to the power supply area, further improve power supply capacity of the device, and accurately supply power to different areas.
Further, in consideration of possible electricity stealing, in order to ensure the security of electricity consumption of the user, the step S60 further includes: acquiring family member information of each resident in the power supply area, and acquiring current power consumption corresponding to the resident; determining a standard electricity consumption range according to the family member information, and judging whether the current electricity consumption is in the standard electricity consumption range or not; if not, checking the electricity utilization of the resident.
It should be noted that, the family member information may include information such as the number of family members, the age, etc., and the family member information may be obtained through a registration table in which a resident is registered, or may be obtained through other means, which is not limited in this embodiment.
It can be understood that the household electricity consumption of different household members is different, and the household electricity consumption of different ages may be different, for example, the electricity consumption of children may be less than that of adults, the electricity consumption of the elderly may be less than that of adults, the standard electricity consumption range may represent the reasonable electricity consumption use range of the resident, and whether the electricity stealing phenomenon exists or not may be judged by judging whether the current electricity consumption is in the standard electricity consumption range.
In order to more accurately determine whether there is electricity stealing, as another implementation manner of this embodiment, the device may further determine whether there is a family member in the residence, for example, the residence does not have a family member, after the electricity consumption of an electrical appliance such as a long-term plug-in (refrigerator) is removed, the current electricity consumption is still more, so that it may be determined that the residence has electricity stealing phenomenon, and meanwhile if there is a family member in the residence, but the current electricity consumption is lower than the daily electricity consumption of a regular person, so that it may be determined that the residence has electricity stealing phenomenon.
In a specific implementation, the device can acquire family member information of each resident in a power supply area, acquire current power consumption corresponding to the resident, determine a standard power consumption range according to the family member information, judge whether the current power consumption is in the standard power consumption range, and if not, the device can check the power consumption of the resident.
According to the embodiment, the power supply area corresponding to the transformer can be obtained, the historical power consumption information corresponding to the power supply area is obtained, prediction is carried out through the preset machine learning module based on the historical power consumption information, the power consumption trend of the power supply area is determined, the power consumption area is classified according to the power consumption area, the power supply quantity is determined through the grade corresponding to the power supply area, the power supply capacity of the equipment is further improved, and power is accurately supplied to different areas; meanwhile, the embodiment can acquire family member information of each resident in the power supply area, acquire current power consumption corresponding to the resident, determine a standard power consumption range according to the family member information, judge whether the current power consumption is in the standard power consumption range, if not, the equipment can check power consumption of the resident, judge whether the power consumption is stolen, and improve the power consumption safety of the user.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of the power factor optimization method according to the present invention.
Considering that the existing electricity consumption checking mode is to check each resident one by a mode of going to the gate by a staff, as shown in fig. 4, based on the above embodiments, in this embodiment, before the step of checking the electricity consumption of the resident, the method further includes:
step S601: marking each resident of which the current electricity consumption exceeds the standard electricity consumption range to obtain a first marked resident, and obtaining the position information of the first marked resident;
step S602: marking each resident with the current electricity consumption lower than the standard electricity consumption range to obtain a second marked resident, and obtaining the position information of the second marked resident;
it should be noted that, the first marked resident represents a resident who may have a power-stealing phenomenon, and the second marked resident represents a resident who may have a power-stealing phenomenon.
It should be noted that the location information may be, but not limited to, a residence's cell location information, a floor location information, a street location information, and the like.
Step S603: judging whether the position information of the second marked resident exists in a preset range or not by taking the position information of the first marked resident as a circle center;
if yes, correspondingly, the step of checking the electricity consumption of the resident comprises the following steps:
step S604: and carrying out relevance electricity utilization check on the first marked resident and the second marked resident.
It can be understood that the preset range may be set according to the residence density of the actual residence, for example, the residence density of the residence is smaller, the preset range may be set larger, the residence density of the residence is larger, the preset range may be set smaller, and as another implementation manner of this embodiment, the device may further determine whether the first marked residence exists in the preset range by using the position information of the second marked residence as the center of a circle.
It should be understood that the above-mentioned checking of the correlation electricity consumption may be to check the current electricity consumption of the first marker resident and the current electricity consumption of the second marker resident together, or may be other checking methods, which is not limited in this embodiment.
In a specific implementation, the device may mark a resident whose current electricity consumption exceeds the standard electricity consumption range as a first marked resident, mark a resident whose current electricity consumption is lower than the standard electricity consumption range as a second marked resident, judge whether the second marked resident exists in the preset range by taking the position information of the first marked resident as the center of a circle, and if so, perform relevance electricity consumption checking on the corresponding first marked resident and second marked resident.
Further, considering that the existing door-to-door check is generally performed by a worker, the check efficiency is low, in this embodiment, the step S604 includes:
step S6041: and acquiring an electrical equipment list of the first marked resident, and determining a first preset electricity consumption of the first marked resident according to the electrical equipment list.
Step S6042: and acquiring an electrical equipment list of the second marked resident, and determining a second preset electricity consumption of the second marked resident according to the electrical equipment list.
It should be noted that the electrical equipment list may include parameters related to all electrical equipment in the residence, such as equipment names, equipment types, equipment numbers, etc., and the preset electricity consumption may be obtained according to different equipment parameters in the electrical equipment list.
For example, the device list includes three electrical appliance types, namely a refrigerator, a television and an electric lamp, so that the device can determine preset electricity consumption required by normal operation of the device through the electrical appliance types, the preset time required by normal operation of the refrigerator is used all day, the television and the electric lamp are generally used at night, the preset use time of the television and the electric lamp can be set to be a time period corresponding to night, and the preset electricity consumption of the three electrical appliance devices is summarized to obtain the preset electricity consumption of corresponding households.
Step S6043: and carrying out electricity consumption checking according to the current electricity consumption of the first marked resident, the first preset electricity consumption, the current electricity consumption of the second marked resident and the second preset electricity consumption.
In a specific implementation, the device may obtain an electrical equipment list of the first marked resident, obtain a first preset electricity consumption of the first marked resident according to related parameters in the electrical equipment list, obtain an electrical equipment list of the second marked resident at the same time, determine a second preset electricity consumption of the second marked resident according to the electrical equipment list, and finally obtain a first electricity consumption difference according to the current electricity consumption of the first marked resident and the first preset electricity consumption, obtain a second electricity consumption difference according to the current electricity consumption of the second marked resident and the second preset electricity consumption, and perform electricity check according to the first electricity consumption difference and the second electricity consumption difference.
Further, considering that the time of using the electrical equipment by different households is inconsistent, and further determining that the preset power consumption may result in lower accuracy by parameters such as the equipment name, the equipment type, the equipment number, etc., in order to further improve the accuracy of the preset power consumption, the step S6041 includes: acquiring an electrical equipment list of the first marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list; determining a first preset electricity consumption of the first marker resident based on the preset usage period and the usage power, and correspondingly, the step S6042 includes: acquiring an electrical equipment list of the second marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list; and determining a second preset electricity consumption amount of the second marked resident based on the preset using time period and the using power.
It should be noted that, the preset usage period may be determined according to a historical usage period of the resident, for example, according to that the resident uses more television frequently from 8 pm to 9 pm in the historical usage period, the preset period may be set to 8 pm to 9 pm, which is only convenient for understanding, and the specific preset period setting content is not limited.
In a specific implementation, the device can obtain corresponding preset use time and use power according to the electric equipment list of the first marked resident, can obtain preset use electric quantity of each electric equipment according to the preset use time and the use power, and can obtain first preset electric quantity according to the preset use electric quantity of each electric equipment; and meanwhile, corresponding preset use time and use power can be obtained according to the electric equipment list of the second marked resident, the preset use electric quantity of each electric equipment can be obtained according to the preset use time and the use power, and the second preset electric quantity can be obtained according to the preset use electric quantity of each electric equipment.
According to the embodiment, residents with current electricity consumption exceeding the standard electricity consumption range can be marked as first marked residents, residents with current electricity consumption lower than the standard electricity consumption range are marked as second marked residents, whether the second marked residents exist in the preset range or not is judged by taking the position information of the first marked residents as circle centers, if so, a list of electrical equipment of the first marked residents is obtained, corresponding preset using time and using power are obtained according to the list of the electrical equipment of the first marked residents, preset electricity consumption of each electrical equipment can be obtained according to the preset using time and the using power, and the first preset electricity consumption can be obtained according to the preset electricity consumption of each electrical equipment; and acquiring an electric equipment list of the second marked resident, acquiring corresponding preset use time and use power according to the electric equipment list of the second marked resident, acquiring preset use electric quantity of each electric equipment according to the preset use time and use power, acquiring second preset electric quantity according to preset use electric quantity of each electric equipment, acquiring a first electric quantity difference according to the current electric quantity of the first marked resident and the first preset electric quantity, acquiring a second electric quantity difference according to the current electric quantity of the second marked resident and the second preset electric quantity, and performing electric check according to the first electric quantity difference and the second electric quantity difference, thereby improving check accuracy and check efficiency.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a power factor optimization program, and the power factor optimization program realizes the steps of the power factor optimization method when being executed by a processor.
In addition, referring to fig. 5, fig. 5 is a block diagram of a first embodiment of a power factor optimizing apparatus according to the present invention, and the embodiment of the present invention further provides a power factor optimizing apparatus, where the power factor optimizing apparatus includes:
the reactive compensation obtaining module 501 is configured to obtain a reactive compensation upper limit value of each photovoltaic inverter and a reactive compensation total value of the photovoltaic power generation system when an initial power factor of the transformer does not exceed a preset power factor;
the reactive compensation distribution module 502 is configured to determine a reactive compensation distribution value of each low-voltage terminal device according to the reactive compensation total value and the reactive compensation upper limit value;
a power factor optimization module 503, configured to optimize an initial power factor of the transformer based on the reactive compensation distribution value.
When the initial power factor of the transformer does not exceed a preset power factor, the method can acquire the reactive compensation upper limit value of each photovoltaic inverter in the photovoltaic power generation system and the reactive compensation total value of the photovoltaic power generation system, determine the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value, divide the reactive compensation total value according to the reactive compensation duty ratio, determine the reactive compensation dividing value of each photovoltaic inverter, acquire the low-voltage terminal equipment and the quantity and daily electricity consumption curves connected with each photovoltaic inverter, distribute each reactive compensation dividing value according to the quantity and daily electricity consumption curves of the low-voltage terminal equipment, acquire reactive compensation distributing values of each low-voltage terminal equipment, and inquire the capacitance or reactance of corresponding parameters in a mapping relation table based on the reactive compensation distributing values so as to perform power factor optimization through the corresponding capacitance or reactance. The reactive compensation upper limit of the photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system are obtained, the reactive compensation distribution value distributed to each low-voltage terminal device is determined according to the reactive compensation upper limit and the reactive compensation total value, and finally the initial power factor is optimized based on the reactive compensation distribution value.
Other embodiments or specific implementations of the power factor optimization device of the present invention may refer to the above method embodiments, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read-only memory/random-access memory, magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A method of power factor optimization, the method comprising the steps of:
when the initial power factor of the transformer does not exceed the preset power factor, acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system;
determining reactive compensation distribution values of all low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value;
the initial power factor of the transformer is optimized based on the reactive compensation distribution value.
2. The power factor optimization method according to claim 1, wherein the step of determining the reactive compensation distribution value of each low-voltage terminal device based on the reactive compensation total value and the reactive compensation upper limit value includes:
determining the reactive compensation duty ratio of each photovoltaic inverter according to the reactive compensation total value and the reactive compensation upper limit value;
Dividing the reactive compensation total value based on the reactive compensation duty ratio to obtain a reactive compensation dividing value;
acquiring the number of the low-voltage terminal devices corresponding to each photovoltaic inverter, and acquiring a daily electricity consumption curve of each low-voltage terminal device;
and distributing the reactive compensation division values based on the number of the low-voltage terminal devices and the daily electricity utilization curve to obtain reactive compensation distribution values corresponding to the low-voltage terminal devices.
3. The power factor optimization method according to claim 1 or 2, characterized in that after the step of optimizing the initial power factor of the transformer based on the reactive compensation distribution value, further comprising:
acquiring a power supply area corresponding to the transformer, and acquiring historical power consumption information corresponding to the power supply area;
determining an electricity consumption trend through a preset machine learning model based on the historical electricity consumption, and grading according to the electricity consumption trend;
and determining the power supply quantity of the power supply area according to the grading result, and controlling the photovoltaic power generation system to supply power to the power supply area according to the power supply quantity.
4. The power factor optimization method according to claim 3, wherein after the step of determining the power supply amount of the power supply area according to the classification result and controlling the photovoltaic power generation system to supply power to the power supply area according to the power supply amount, further comprising:
Acquiring family member information of each resident in the power supply area, and acquiring current power consumption corresponding to the resident;
determining a standard electricity consumption range according to the family member information, and judging whether the current electricity consumption is in the standard electricity consumption range or not;
if not, checking the electricity utilization of the resident.
5. The power factor optimization method of claim 4, wherein prior to said step of conducting a power usage check for said resident, further comprising:
marking each resident of which the current electricity consumption exceeds the standard electricity consumption range to obtain a first marked resident, and obtaining the position information of the first marked resident;
marking each resident with the current electricity consumption lower than the standard electricity consumption range to obtain a second marked resident, and obtaining the position information of the second marked resident;
judging whether the position information of the second marked resident exists in a preset range or not by taking the position information of the first marked resident as a circle center;
if yes, correspondingly, the step of checking the electricity consumption of the resident comprises the following steps:
and carrying out relevance electricity utilization check on the first marked resident and the second marked resident.
6. The power factor optimization method of claim 5, wherein said step of performing a relevance electricity check on said first and second tagged households comprises:
acquiring an electrical equipment list of the first marked resident, and determining a first preset electricity consumption of the first marked resident according to the electrical equipment list;
acquiring an electrical equipment list of the second marked resident, and determining a second preset electricity consumption of the second marked resident according to the electrical equipment list;
and carrying out electricity consumption checking according to the current electricity consumption of the first marked resident, the first preset electricity consumption, the current electricity consumption of the second marked resident and the second preset electricity consumption.
7. The power factor optimization method of claim 6, wherein the step of obtaining the list of electrical devices of the first tagged household and determining the first preset power usage of the first tagged household based on the list of electrical devices comprises:
acquiring an electrical equipment list of the first marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list;
Determining a first preset electricity consumption of the first marked resident based on the preset use period and the use power;
correspondingly, the step of obtaining the electrical equipment list of the second marked resident and determining the second preset electricity consumption of the second marked resident according to the electrical equipment list comprises the following steps:
acquiring an electrical equipment list of the second marked resident, and acquiring a corresponding preset use time period and use power according to the electrical equipment list;
and determining a second preset electricity consumption amount of the second marked resident based on the preset using time period and the using power.
8. A power factor optimization device, the device comprising:
the reactive compensation acquisition module is used for acquiring the reactive compensation upper limit value of each photovoltaic inverter and the reactive compensation total value of the photovoltaic power generation system when the initial power factor of the transformer does not exceed the preset power factor;
the reactive compensation distribution module is used for determining reactive compensation distribution values of all the low-voltage terminal equipment according to the reactive compensation total value and the reactive compensation upper limit value;
and the power factor optimization module is used for optimizing the initial power factor of the transformer based on the reactive power compensation distribution value.
9. A power factor optimization device, the device comprising: a memory, a processor and a power factor optimization program stored on the memory and executable on the processor, the power factor optimization program configured to implement the steps of the power factor optimization method of any of claims 1 to 7.
10. A storage medium having stored thereon a power factor optimization program which, when executed by a processor, implements the steps of the power factor optimization method according to any of claims 1 to 7.
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