CN112072635A - Intelligent power supply and utilization system and method and intelligent power utilization system - Google Patents
Intelligent power supply and utilization system and method and intelligent power utilization system Download PDFInfo
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Abstract
The invention provides an intelligent power supply and utilization system and method and an intelligent power utilization system. The intelligent power supply and utilization method comprises the following steps: delivering the electric energy generated by the power plant to a plurality of consumers, wherein each consumer uses one or more electric devices; predicting future electricity utilization conditions of the electricity utilization users based on the electricity utilization conditions of the electricity utilization users detected by the intelligent electricity meters; predicting and trying to control future power utilization conditions of the power utilization equipment of the power utilization user based on the power utilization conditions of the power utilization equipment acquired by the power utilization management center; and providing power generation guidance by combining the predicted future power utilization situation of the power utilization user and the predicted future power utilization situation of the electric equipment. Therefore, the waste of electric energy can be avoided, and the sufficient supply of the electric energy can be ensured.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the field of power supply and power utilization, in particular to an intelligent power supply and power utilization system, an intelligent power utilization method and an intelligent power utilization system.
[ background of the invention ]
The electrical age has been entered for a long time now. Numerous power plants are distributed throughout the country. A number of household appliances are available to the family of households, such as refrigerators, washing machines, electric lights, air conditioners, electric heaters, and the like. Various electric industry equipment is used in each plant. However, much electric energy generated by the power plant is wasted due to insufficient power consumption at the time of a low power consumption valley, and voltage instability is caused due to insufficient electric energy generated by the power plant at the time of a high power consumption peak, and even active switching-off and power limitation are forced.
How to generate more effectively and intelligently and how to use more efficiently and intelligently is a problem that is always troublesome, not only can waste of electric energy be avoided, but also sufficient supply of electric energy can be ensured. Therefore, there is a need for an improved solution to overcome the above problems.
[ summary of the invention ]
One of the objectives of the present invention is to provide an intelligent power supply and utilization system and method, which can not only avoid the waste of electric energy, but also ensure the sufficient supply of electric energy.
The second objective of the present invention is to provide an intelligent power utilization system, which can effectively regulate and control the power utilization of the power utilization users, avoid the waste of electric energy, and ensure the sufficient supply of electric energy.
In order to achieve the above object, the present invention provides an intelligent power supply and consumption system, comprising: a power supply network for supplying the electric energy generated by the power plant to a plurality of consumers, wherein each consumer uses one or more electric devices; the intelligent electric meters are installed at the connection part of one power user, connected to the power supply network, and used for detecting the power utilization condition of the power user and predicting the future power utilization condition of the power user based on the detected power utilization condition of the power user; the power utilization management center can acquire and record the power utilization conditions of the electric equipment of the power utilization user through a communication network, and predict the future power utilization conditions of the electric equipment based on the acquired power utilization conditions of the electric equipment of the power utilization user; and the power supply management center can receive the power utilization condition of the power utilization user detected by the intelligent electric meter and the predicted future power utilization condition of the power utilization user through a communication network, can also obtain the power utilization condition of the power utilization equipment of the power utilization user and the predicted future power utilization condition of the power utilization equipment from the power utilization management center through the communication network, and provides power generation guidance by combining the predicted future power utilization condition of the power utilization user by the intelligent electric meter and the predicted future power utilization condition of the power utilization equipment by the power utilization management center.
According to one aspect of the present invention, there is provided an intelligent electricity utilization system, comprising: the power utilization management center can acquire and record the power utilization conditions of the power utilization equipment of a plurality of power utilization users through a communication network, the power utilization users are electrically connected to a power supply network, each power utilization user uses one or more power utilization equipment, and the power utilization management center sends power utilization suggestions and/or power utilization preferential measures to the power utilization users or the power utilization equipment according to power utilization directions received from the power supply management center. The power utilization management center can also control the power utilization condition of the electric equipment of the power utilization user through a communication network, and the power utilization management center controls the power utilization condition of the electric equipment of the power utilization user according to the power utilization guide received from the power supply management center.
According to another aspect of the present invention, the present invention provides a method for intelligent power supply and utilization, comprising: delivering the electric energy generated by the power plant to a plurality of consumers, wherein each consumer uses one or more electric devices; predicting future electricity utilization conditions of the electricity utilization users based on the electricity utilization conditions of the electricity utilization users detected by the intelligent electricity meters; predicting future power utilization conditions of the electric equipment of the power utilization user based on the power utilization conditions of the electric equipment acquired by the power utilization management center; and providing power generation guidance by combining the predicted future power utilization situation of the power utilization user and the predicted future power utilization situation of the electric equipment.
Compared with the prior art, the method and the system can predict the future power utilization condition of the power utilization user based on the power utilization condition of the power utilization user detected by the intelligent electric meter, can also predict the future power utilization condition of the power utilization equipment of the power utilization user based on the power utilization condition of the power utilization equipment obtained by the power utilization management center, and provide power generation guidance by combining the future power utilization condition of the power utilization user predicted by the intelligent electric meter and the future power utilization condition of the power utilization equipment predicted by the power utilization management center. In addition, the power utilization guidance can also be sent according to the real-time power generation condition of the power plant and the real-time power utilization condition of the power utilization user fed back by the intelligent electric meter.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
FIG. 1 is a block diagram of an intelligent power and utility system of the present invention in one embodiment;
FIG. 2 is a block flow diagram of a method of intelligent power and usage in one embodiment of the present invention;
fig. 3 is a block diagram of the smart meter according to an embodiment of the present invention.
[ detailed description ] embodiments
The following detailed description of the invention refers to the accompanying drawings.
In the present invention, the terms "in one embodiment" and "in an embodiment" do not specifically mean that they are in the same embodiment, and may be in different embodiments.
The invention provides an intelligent power supply and utilization system and method, which can avoid waste of electric energy and ensure sufficient supply of the electric energy. As shown in fig. 1, which is a block diagram of an embodiment of an intelligent power and consumption system 100 of the present invention. As shown in fig. 1, the intelligent power supply and consumption system 100 includes a power consumption management center 110, a power supply management center 120, a power supply network, and a plurality of smart meters 130.
The power supply network is used to supply the electrical energy generated by the power plant to a plurality of consumers, each consumer using one or more consumers 140. The power supply network may include a high voltage network, a low voltage network, etc., each household may be considered as a consumer, each factory may also be considered as a consumer, typically each consumer has an electricity meter, and the electrical devices 140 may include refrigerators, washing machines, electric lamps, machine tools, etc.
Each smart meter 130 is installed at a connection of a consumer to the power supply network. The smart meter 130 is configured to detect the power consumption condition of the power consumer and predict a future power consumption condition of the power consumer based on the detected power consumption condition of the power consumer. In order to more accurately predict the future power consumption of the power consumer based on the detected power consumption of the power consumer, the smart meter 130 runs intelligent algorithms, which can be continuously updated and continuously learned by itself to be gradually improved, as will be further described below. The smart meter 130 obtains the electricity consumption habit information of the electricity consumer according to the electricity consumption condition and the environment information of the electricity consumer detected by the smart meter 130, and when predicting the future electricity consumption condition of the electricity consumer, the future environment factor and the electricity consumption habit information of the electricity consumer are considered at the same time, so that the prediction is more accurate. The environmental information may include temperature, humidity, season, etc.
The electricity management center 110 can obtain and record the electricity utilization conditions of the electricity utilization devices 140 of the electricity utilization users through a communication network, and predict the future electricity utilization conditions of the electricity utilization devices based on the obtained electricity utilization conditions of the electricity utilization devices 140 of the electricity utilization users. The power consumption of the power consumption device 140 may include operation information including when to operate, when to shut down, and the like, power consumption information including power consumption of each period, and power consumption information. The power consumption management 110 may further obtain and record device information of the power consumption device 140 of the power consumption user through a communication network, where the device information of the power consumption device includes a device type and a model, for example, the device type is a refrigerator and the model is B031.
The communication network may be a mobile communication network such as 2/3/4/5G, the internet, WiFi, BT, or the like. In one embodiment, the electric device 140 may be connected to the power supply network through a smart socket, the smart socket may collect power consumption of the electric device, and the collected power consumption of the electric device may be transmitted to the power management center 110 through a communication network, so that the smart socket may be well adapted to an existing electric device without changing the existing electric device, and may have a communication function and a power consumption measurement function. In another embodiment, the electric device 140 may have a module for collecting the self-electricity consumption condition and a communication module, and the electric device 140 transmits the collected self-electricity consumption condition to the electricity management center 110 through the communication module via a communication network. Thus, the power consumption management 110 can also know the power consumption of each of the power consumers very accurately, and can predict the future power consumption of the power consumers more accurately by analyzing the power consumption of the power consumers. For example, for an electric device such as a refrigerator, the power consumption in each period of time is relatively stable, and the power consumption in the future 1 day or several days can be easily analyzed by analyzing the power consumption in the previous period of time. For another example, for an electric device such as a television, it is easy to analyze the situation that the television may be turned on in which time slot and turned off in which time slot in the future by analyzing the historical power consumption situation of the television, so that the future power consumption situation of the television can be accurately predicted.
Certainly, in order to more accurately predict the future power consumption conditions of the power consumption devices 140 of the power consumption users based on the acquired power consumption conditions of the power consumption devices, the power consumption management center 110 runs intelligent algorithms for various power consumption devices, and the intelligent algorithms can be continuously updated and continuously learned by themselves, so that the prediction is gradually improved.
The power supply management center 120 can receive the power consumption situation of the power consumer detected by the smart meter 130 and the predicted future power consumption situation of the power consumer through the communication network, and can also obtain the power consumption situation of the power consumer's power consumer and the predicted future power consumption situation of the power consumer from the power consumption management center 110 through the communication network.
Since the smart meter 130 does not know exactly what electric devices are used by the electricity consumer, it is only able to passively predict the future electricity usage trend of the electricity consumer, and it is unable to precisely control some unavoidable errors. Since the power management center 110 is likely not capable of completely docking all the power consumers, it can only predict the future power consumption of a specific power consumer, but not the total power consumption of the power consumer. Therefore, the power supply management center 120 may further predict the future power utilization of the power consumer by combining the predicted future power utilization of the power consumer by the smart meter 130 and the predicted future power utilization of the power equipment by the power management center 110, and provide power generation guidance, such as guidance power generation amount of each time period of each power plant, to the power plant based on the further predicted future power utilization of the power consumer.
The power consumption of the electric devices of the electricity consumers obtained by the power management center 110 may be used to correct the smart algorithm of the smart meter 130.
In addition, the power supply management center 120 sends a power utilization instruction to the power utilization management center 110 according to the real-time power generation condition of the power plant and the real-time and/or predicted power utilization condition of the power utilization user fed back by the smart meter 130, and the power utilization management center 110 controls the power utilization condition of the power utilization equipment of the power utilization user according to the power utilization instruction. The power management center 110 controls the power utilization of the power utilization device of the power utilization user by controlling the power utilization device of the power utilization user to be turned on or off or adjusting the operating power of the power utilization device of the power utilization user. For example, the power consumption guide of the power management center 110 indicates that X kilowatt power is recommended to be used more in the next certain time period, and then the power management center 110 can directly control the power consumption devices of the power users to start or increase power, so that the power can be used more effectively, and in return, the controlled power rates of the power consumption devices are very favorable.
In another embodiment, the power management center 110 may also send a power advice and/or a power advantage to the power consumer or the power equipment according to the power instruction sent by the power management center 120. For example, the electricity management center 110 may send the electricity advice and the electricity discount measure for the next certain period of time to the electricity consumer through a short message, a WeChat, etc., for example, the electricity fee price for electricity consumption in the next 1 hour is five-fold, or even free electricity is used, so as to attract the user, and for example, the electricity fee price for electricity consumption of the washing machine in a certain period of time is eight-fold discount. By means of the measures, the user can actively adjust the own power utilization.
According to another aspect of the invention, the invention can also provide an intelligent power supply and utilization method. As shown in fig. 2, which is a block flow diagram of a method 200 for intelligent power and consumption in the present invention in one embodiment. As shown in fig. 2, the intelligent power supply and utilization method 200 includes the following steps.
and 240, combining the predicted future power utilization situation of the power utilization user and the predicted future power utilization situation of the power utilization equipment to provide power generation guidance.
In one embodiment, the power management center 120 sends the electricity management center 110 an electricity instruction according to the real-time power generation condition of the power plant and the real-time and/or predicted electricity utilization condition of the electricity consumer fed back by the smart meter 130. The power utilization management center can control the power utilization condition of the electric equipment of the power utilization user according to the power utilization guide, and the power utilization management center controls the power utilization condition of the electric equipment of the power utilization user by controlling the on or off of the electric equipment of the power utilization user or adjusting the running power of the electric equipment of the power utilization user. The electricity utilization management center can also send electricity utilization suggestions and/or electricity utilization preferential measures to the electricity utilization users or the electricity utilization equipment according to the electricity utilization guide.
Since the technical principle of the system 100 is consistent with that of the method 200, the method 200 is introduced with simplified or omitted processing for repeated parts, and the simplified or omitted parts can be referred to the relevant description of the system 100.
Fig. 3 is a block diagram of the smart meter 130 according to an embodiment of the present invention. As shown in fig. 3, the smart meter 130 can collect the power utilization characteristic influence factor information according to a time sequence, and perform data mining and deep learning on the collected information to obtain the power utilization characteristics and power utilization habits of the power utilization users, and reasonably predict the power utilization conditions of the power utilization users in the future predetermined time period. As shown in fig. 3, the smart meter 130 includes an information collecting unit 131, a power consumption characteristic acquiring unit 132, an analyzing and predicting unit 133, and an information sending unit 134.
The information collecting unit 130 is configured to collect the electricity characteristic influence factor information of the user in time series. In some embodiments, the power consumption characteristic influence factor information includes power consumption of a power consumption user, environmental temperature information, environmental humidity information, environmental air pressure information, environmental sound information, and environmental image information. Wherein: the power consumption information directly reflects the change condition of the power consumption of the user on a time sequence, and the information such as the environmental temperature, the environmental temperature information, the environmental air pressure and the like represents the environmental condition of the user, which directly influences the running time, the power consumption and the like of the cooling and heating equipment, the refrigerator, the heating/dehumidifying equipment and the electric oven. The environmental sound information and the environmental image information can be used for assisting in judging the use condition of the user on audio/video and lighting equipment such as a television, an electric lamp, a computer and the like, and can also reflect the information of the number of people of the user and the like.
The power consumption characteristic obtaining unit 132 is configured to perform data mining on the power consumption characteristic influence factor information collected by the information collecting unit 131 in time series to obtain the power consumption characteristic information of the user. In some embodiments, the power consumption feature information includes a type of the power consumption device, a power consumption specification of each power consumption device, and a power consumption characteristic of each power consumption device. Wherein: the types of the electric equipment comprise cooling and heating equipment, a refrigerator, a television, an electric oven, an air conditioner and the like, and the electric specification of the electric equipment comprises the voltage, the current, the power and the like of each electric equipment; the power consumption characteristics of the power consumption equipment comprise a power consumption curve, a starting time interval, a power consumption duration and the like of the power consumption equipment.
By deep mining of electricity consumption feature information such as chronological electricity consumption information, environmental temperature information, environmental humidity information, environmental air pressure information, environmental sound information, and environmental image information, the electricity consumption feature acquisition unit 132 can acquire information such as the type of electric equipment of the user, the electricity consumption specification of each electric equipment, and the electricity consumption characteristics of each electric equipment. For example, through data mining, if the power consumption characteristic obtaining unit 132 finds that a certain electric device is turned on when the ambient humidity is higher than 70%, and turned off when the ambient humidity is lower than 40%, and the power of the device is 1500W, the power consumption characteristic obtaining unit 132 determines that the electric device is a dehumidifier. For another example, if a certain electrical device starts at 19-20 pm every day and is turned off at 7-8 am every day, and the power of the device is 2W, the electrical characteristic obtaining unit 132 determines that the electrical device is a small night light.
It should be noted that the intelligent algorithm model for data mining used in the present invention uses various existing data mining analysis algorithm models, such as a discriminant analysis model, a cluster analysis model, a neural network algorithm model, and the like.
Since the original information collected by the information collecting unit 131 is generally analog information, in some embodiments, the power consumption characteristic obtaining unit 132 includes a digital-to-analog converting unit 1321 and a data mining unit 1322, where the digital-to-analog converting unit 1321 is configured to perform analog-to-digital conversion on the collected power consumption characteristic influencing factor information of the user to obtain digital power consumption characteristic influencing factor information data of the user, and the data mining unit 1322 is configured to perform data mining on the digital power consumption characteristic influencing factor information data of the user to obtain the power consumption characteristic information of the user.
The analyzing and predicting unit 133 is configured to perform deep learning on the collected power utilization characteristic influence factor information of the user and the acquired power utilization characteristic information of the user to obtain power utilization habit information of the user and a power utilization condition (such as a power consumption) of a predetermined time period in the future. Wherein, the electricity usage habit information of the user comprises the usage habit of the user to the electricity consumption equipment, such as: generally, a user can turn on or off the television at some points, a heater can be turned on when the ambient temperature is reduced to a certain degree, and a humidifier can be turned on when the ambient humidity is reduced to a certain degree. The power usage includes a prediction of the amount of power usage by the user over a future period of time. In the invention, the deep learning can adopt various existing supervised deep learning algorithm models and/or unsupervised deep learning algorithm models.
Because the electricity utilization habits of the users are directly related to the electricity utilization characteristic information, the electricity utilization habits of the users can be easily obtained only by deeply learning the electricity utilization characteristic information, and the specific process is not repeated in the specification.
The power consumption of the user is related to the power consumption characteristic information (including the type of the electric equipment, the power consumption specification of each electric equipment and the power consumption characteristics of each electric equipment) and the power consumption characteristic influence factor information. Therefore, when predicting the total electricity consumption of the user in a future period of time, a correlation model between the electricity consumption of the user and the electricity utilization characteristic information and the electricity utilization characteristic influence factor information can be established through deep learning, and as in some embodiments, the correlation model can be characterized as Q ═ F (S, F), wherein Q is the electricity consumption of the user, S is the electricity utilization characteristic information, and F is the electricity utilization characteristic influence factor information. When the power consumption in the future preset time is predicted, the predicted value of the total power consumption in the future preset time can be output only by inputting the power consumption characteristic information and the power consumption characteristic influence factor information into the relation model. Of course, the power consumption feature information is the historical data acquired by the power consumption feature acquiring unit 132, and part of the information in the power consumption feature influencing factor information, such as the ambient temperature, the ambient humidity, the ambient air pressure, and the like, may need to use a predicted value, such as the predicted value acquired by an external weather forecast system.
For example, when the power consumption situation of the user in each day of the future week needs to be predicted, it is first necessary to obtain predicted values of power consumption characteristic influencing factors such as the ambient temperature, the ambient humidity, and the ambient air pressure in the future week, and retrieve the power consumption characteristic information acquired by the power consumption characteristic acquiring unit 132. Finally, the analyzing and predicting unit 133 can predict the total power consumption of each day in the future week by calling the association model.
The information sending unit 134 is configured to send the power consumption feature information, the power consumption habit information, and the power consumption condition information of the future predetermined time period of the user to the remote power supply management center 120, so as to meet the analysis requirements of each department. Through analyzing and utilizing the data in the databases, some business departments can evaluate and analyze the electricity utilization characteristic information and the electricity utilization habit information of each user stored in the cloud database, so that the related business application is realized, and if the power supply department can reasonably deploy the power supply arrangement in a future period of time based on the electricity utilization habits and the electricity utilization forecast values of the users, if the distribution capacity of the power supply department is distributed and debugged in advance, the electricity utilization requirements of the users in the future period of time are met.
In a specific implementation structure, in the present invention, the information acquisition unit 131, the power consumption characteristic acquisition unit 132, the analysis and prediction unit 133, and the information sending unit 134 may all adopt an existing information acquisition structure, an existing information processing structure, and an existing information sending structure. For example, the information collecting unit 131 is configured as an interconnected sensing network composed of various types of sensor nodes (e.g., a metering sensor for obtaining the power consumption of a user, a temperature sensor for obtaining the ambient temperature, a humidity sensor for obtaining the ambient humidity, a pressure sensor for obtaining the ambient air pressure, etc.).
The power consumption characteristic acquisition unit 132 and the analysis and prediction unit 133 are configured as a microprocessor unit (MCU) connected to the sensor nodes, and the microprocessor unit (MCU) can acquire information transmitted by the sensor nodes and can write various data mining algorithm programs and deep learning algorithm programs. The information transmitting unit 134 is configured as a wired signal or wireless signal transmitter.
With continued reference to fig. 3, in order to reduce cost and facilitate maintenance, in some preferred embodiments, the sensors, the microprocessor unit (MCU) and the wired/wireless signal transmitter are integrated into a smart meter 130 having information collecting, information processing and information transmitting functions, and the smart meter 130 is installed on a power supply network where a user uses electricity.
The foregoing description has disclosed fully preferred embodiments of the present invention. It should be noted that those skilled in the art can make modifications to the embodiments of the present invention without departing from the scope of the appended claims. Accordingly, the scope of the appended claims is not to be limited to the specific embodiments described above.
Claims (18)
1. The utility model provides a system of intelligence power supply and power consumption which characterized in that, it includes:
a power supply network for supplying the electric energy generated by the power plant to a plurality of consumers, wherein each consumer uses one or more electric devices;
the intelligent electric meters are installed at the connection part of one power user, connected to the power supply network, and used for detecting the power utilization condition of the power user and predicting the future power utilization condition of the power user based on the detected power utilization condition of the power user;
the power utilization management center can acquire and record the power utilization conditions of the electric equipment of the power utilization user through a communication network, and predict the future power utilization conditions of the electric equipment based on the acquired power utilization conditions of the electric equipment of the power utilization user;
and the power supply management center can receive the power utilization condition of the power utilization user detected by the intelligent electric meter and the predicted future power utilization condition of the power utilization user through a communication network, can also obtain the power utilization condition of the power utilization equipment of the power utilization user and the predicted future power utilization condition of the power utilization equipment from the power utilization management center through the communication network, and provides power generation guidance by combining the predicted future power utilization condition of the power utilization user by the intelligent electric meter and the predicted future power utilization condition of the power utilization equipment by the power utilization management center.
2. The system according to claim 1, wherein the power management center issues power instructions to the power management center according to the real-time power generation condition of the power plant and the real-time and/or predicted power utilization condition of the power consumers fed back by the smart meter.
3. The intelligent power and utility system of claim 2,
the power utilization management center controls the power utilization condition of the electric equipment of the power utilization user according to the power utilization guidance from the power supply management center, and controls the power utilization condition of the electric equipment of the power utilization user by controlling the on or off of the electric equipment of the power utilization user or adjusting the running power of the electric equipment of the power utilization user.
4. The system according to claim 2, wherein the electricity management center sends electricity advice and/or electricity offer-back measures to the electricity consumers or the electricity consumers according to the electricity guidance from the electricity management center.
5. The system according to claim 1, wherein the power management center further obtains and records device information of the power consuming devices of the power consuming users through a communication network, the device information of the power consuming devices includes device types and models, and the power consumption conditions of the power consuming devices include operation information, power information and power consumption information.
6. The system according to claim 1, wherein the electrical equipment is connected to the power supply network through an intelligent socket, the intelligent socket collects power consumption of the electrical equipment, and the collected power consumption of the electrical equipment is transmitted to the power management center through a communication network; or,
the electric equipment is provided with a module for collecting the self electricity utilization condition and a communication module, and the self electricity utilization condition collected by the electric equipment is transmitted to the electricity utilization management center through the communication module and the communication network.
7. The system according to claim 1, wherein the power management center further predicts a future power utilization situation of the power consumer in combination with the predicted future power utilization situation of the power consumer by the smart meter and the predicted future power utilization situation of the power consumer by the power management center, and provides power generation guidance to the power plant based on the further predicted future power utilization situation of the power consumer.
8. The system according to claim 7, wherein the smart meter or the power management center obtains the electricity usage habit information of the electricity consumer according to the electricity usage condition of the electricity consumer detected by the smart meter and the environmental information, and when predicting the future electricity usage condition of the electricity consumer, the future environmental factors and the electricity usage habit information of the electricity consumer are considered at the same time.
9. The system for supplying and consuming power intelligently as claimed in claim 1, wherein the intelligent algorithm of the intelligent electric meter is corrected according to the power consumption condition of the electric equipment of the electric user obtained by the power consumption management center.
10. An intelligent power utilization system, comprising:
a power consumption management center capable of acquiring and recording power consumption of power consumption devices of a plurality of power consumption consumers electrically connected to a power supply network through a communication network, each power consumption consumer using one or more power consumption devices,
and the electricity utilization management center sends electricity utilization suggestions and/or electricity utilization preferential measures to the electricity utilization users or the electricity utilization equipment according to the electricity utilization guide received from the power supply management center.
11. The intelligent power utilization system of claim 10, wherein the power utilization management center is further capable of controlling power utilization of the power utilization equipment of the power utilization user through a communication network, and the power utilization management center controls the power utilization of the power utilization equipment of the power utilization user according to power utilization guidance received from a power supply management center.
12. The intelligent power utilization system of claim 11, wherein the power management center controls power utilization of the electric devices of the electric users by controlling on or off of the electric devices of the electric users or adjusting operating power of the electric devices of the electric users.
13. The intelligent power utilization system of claim 10, wherein the power utilization management center further obtains and records device information of power utilization equipment of the power utilization user through a communication network, the device information of the power utilization equipment comprises a device type and a model, and the power utilization condition of the power utilization equipment comprises operation information, power information and power consumption information.
14. The intelligent power utilization system according to claim 10, wherein the power utilization equipment is connected to the power supply network through a smart socket, the smart socket collects power utilization conditions of the power utilization equipment, and the collected power utilization conditions of the power utilization equipment are transmitted to the power utilization management center through a communication network; or,
the electric equipment is provided with a module for collecting the self electricity utilization condition and a communication module, and the self electricity utilization condition collected by the electric equipment is transmitted to the electricity utilization management center through the communication module and the communication network.
15. An intelligent power supply and utilization method is characterized by comprising the following steps:
delivering the electric energy generated by the power plant to a plurality of consumers, wherein each consumer uses one or more electric devices;
predicting future electricity utilization conditions of the electricity utilization users based on the electricity utilization conditions of the electricity utilization users detected by the intelligent electricity meters;
predicting future power utilization conditions of the electric equipment of the power utilization user based on the power utilization conditions of the electric equipment acquired by the power utilization management center;
and providing power generation guidance by combining the predicted future power utilization situation of the power utilization user and the predicted future power utilization situation of the electric equipment.
16. The method according to claim 15, wherein the power supply management center sends a power utilization instruction to the power utilization management center according to the real-time power generation condition of the power plant and the real-time power utilization condition of the power consumer fed back by the smart meter, the power utilization management center controls the power utilization condition of the power consumer according to the power utilization instruction, and the power utilization management center controls the power utilization condition of the power consumer by controlling on or off of the power consumer or adjusting the operating power of the power consumer.
17. The method of claim 15, wherein the power management center sends a power instruction to the power management center according to the real-time power generation condition of the power plant and the real-time power utilization condition of the power consumer fed back by the smart meter, and the power management center sends a power recommendation and/or a power benefit to the power consumer or the power consumer according to the power instruction,
the power utilization management center also acquires and records equipment information of the power utilization equipment of the power utilization user through a communication network, wherein the equipment information of the power utilization equipment comprises equipment type and model,
the power utilization condition of the electric equipment comprises operation information, power information and power consumption information.
18. The method according to claim 15, wherein the electrical equipment is connected to the power supply network through a smart socket, the smart socket collects power consumption of the electrical equipment, and the collected power consumption of the electrical equipment is transmitted to the power management center through a communication network; or,
the electric equipment is provided with a module for collecting the self electricity utilization condition and a communication module, and the self electricity utilization condition collected by the electric equipment is transmitted to the electricity utilization management center through the communication module and the communication network.
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