CN113794212A - Intelligent management system and method for power grid demand side - Google Patents
Intelligent management system and method for power grid demand side Download PDFInfo
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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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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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
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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Abstract
The invention discloses a power grid demand side intelligent management system and a method, wherein the system comprises: the intelligent power grid demand response management platform comprises: the oscillation detection unit is used for being connected with a bus circuit in each electric well of each layer of the cell to obtain a plurality of radio frequency signals; the spectrum sensing unit is used for receiving a plurality of radio frequency signals, detecting energy values in the radio frequency signals and outputting power demand weights corresponding to each household; the power demand response unit is used for receiving and generating a response signal of each layer of electric well of the community according to the power demand weight corresponding to each household and transmitting the response signal to the community power supply unit; and the cell power supply unit is used for receiving and controlling power supply of each layer of electric well of the cell according to the response signal of each layer of electric well of the cell. According to the invention, the radio frequency signals in the user electric wells of the community are detected, and then the weight judgment is carried out according to the energy output by the radio frequency signals, so that demand type power supply is formed, the phenomenon of insufficient supply and demand is avoided, and the problem of unstable power supply in the community is solved.
Description
Technical Field
The invention relates to the technical field of power grid management, in particular to a power grid demand side intelligent management system and method.
Background
The electric energy is a main energy and power for modern industrial production, the electric energy is easy to be converted from other forms of energy and also is easy to be converted into other forms of energy for supply, the transmission and distribution of the electric energy are simple and economical, the control, the regulation and the measurement are convenient, the automation of the production process is facilitated, and therefore, the electric energy is widely applied to modern industry and people life.
Along with more and more electrical apparatus in the life, especially the use of air conditioner in winter and summer is very frequent, brings huge burden for the power supply system of district like this, and the power consumption demand of every layer of user of district is different moreover, but the electric well of power supply keeps fixed output circuit all the time, can not adjust according to supply and demand to lead to the very unstable of district's power supply in winter and summer, the phenomenon of power failure appears very easily.
Disclosure of Invention
The invention aims to provide a power grid demand side intelligent management system and a power grid demand side intelligent management method to solve the problem of unstable power supply in a cell.
In order to achieve the above object, the present invention provides an intelligent management system for a demand side of a power grid, including: a demand response management platform of the smart power grid;
the intelligent power grid demand response management platform comprises: the system comprises a spectrum sensing unit, an oscillation detection unit, a power demand response unit and a cell power supply unit;
the oscillation detection unit is used for being connected with a bus line in each electric well of each layer of the cell to acquire a current signal of each household of the cell and convert the current signal of each household into a plurality of radio frequency signals;
the spectrum sensing unit is used for receiving the radio-frequency signals sent by the oscillation detection unit, detecting energy values in the radio-frequency signals and outputting power demand weights corresponding to each household;
the power demand response unit is used for receiving and generating a response signal of each layer of electric well of the community according to the power demand weight corresponding to each household and transmitting the response signal to the community power supply unit;
and the cell power supply unit is used for receiving and controlling power supply of each layer of electric well of the cell according to the response signal of each layer of electric well of the cell.
Preferably, the oscillation detection unit comprises an energy amplification module;
the energy amplification module is used for amplifying the vibration frequency generated by the triode in the current transmission of the bus line in each layer of electric well of the cell and forming a plurality of radio frequency signals.
Preferably, the oscillation detection unit further comprises a frequency selection module;
the frequency selection module is connected with the energy amplification module and used for selecting the radio frequency signals and transmitting the radio frequency signals to the spectrum sensing unit.
Preferably, the oscillation detection unit further comprises a positive feedback module;
the positive feedback module is connected with the frequency selection module and used for transmitting the output radio-frequency signals to the output end of the intelligent power grid demand response management platform to form a feedback circuit.
Preferably, the spectrum sensing unit comprises a non-cooperative detection module;
the non-cooperative detection module is connected with the frequency selection module, and is used for receiving the radio frequency signals, detecting the energy and filtering of the radio frequency signals and outputting non-cooperative detection information.
Preferably, the spectrum sensing unit further comprises a cooperation detection module;
the cooperation detection module is connected with the non-cooperation detection module, and the cooperation detection module is used for detecting the frequency spectrum hole by using information sharing and outputting cooperation detection information.
Preferably, the spectrum sensing unit further comprises a weight assignment module;
the weight distribution module is used for receiving the non-cooperation detection information and the cooperation detection information, calculating the weight of the non-cooperation detection information and the cooperation detection information, and outputting the power demand weight corresponding to each household.
Preferably, the power demand response unit comprises a power demand module;
the power demand module is connected with the weight distribution module and is used for receiving the power demand weight corresponding to each household.
Preferably, the power demand response unit comprises a power response module;
the power response module is connected with the power demand module and is used for transmitting a response signal of each layer of electric well of the community to the community power supply unit.
The invention also provides an intelligent management method for the demand side of the power grid, which comprises the following steps:
acquiring a current signal of each household of a cell from a bus line in each electric well of each layer of the cell, and converting the current signal of each household into a plurality of radio frequency signals;
detecting energy values in the radio frequency signals and outputting power demand weights corresponding to each household;
generating a response signal of each layer of electric well in the community according to the power demand weight corresponding to each household;
and performing power supply control on each layer of electric well of the community according to the response signal of each layer of electric well of the community.
Compared with the prior art, the invention has the beneficial effects that:
the spectrum sensing unit is used for detecting radio frequency signals transmitted by current sent by the oscillation detection unit in the electric well of the floor where the community users are located, then weight judgment is carried out according to energy output by the radio frequency signals, and demand response is formed and is transmitted to the community power supply unit to supply power to the user machine, so that demand type power supply is formed, the phenomenon of insufficient supply and demand is avoided, and the problem of unstable power supply in the community is solved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described 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 that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a power grid demand side intelligent management system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a power grid demand side intelligent management system according to another embodiment of the present invention;
fig. 3 is a graph of false alarm probability provided by yet another embodiment of the present invention;
fig. 4 is a schematic flow chart of a power grid demand side intelligent management method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, an embodiment of the present invention provides a power grid demand side intelligent management system, including a smart power grid demand response management platform 100, where the smart power grid demand response management platform 100 includes: the system comprises a spectrum sensing unit 120, an oscillation detection unit 110, a power demand response unit 130 and a cell power supply unit 140, wherein the oscillation detection unit 110 is used for being connected with a bus line in each layer of electric well of a cell to obtain a current signal of each household of the cell and convert the current signal of each household into a plurality of radio frequency signals, the spectrum sensing unit 120 is used for receiving the radio frequency signals sent by the oscillation detection unit 110, detecting energy values in the radio frequency signals and outputting power demand weight corresponding to each household, the power demand response unit 130 is used for receiving and generating response signals of each layer of electric well of the cell according to the power demand weight corresponding to each household and transmitting the response signals to the cell power supply unit 140, and the cell power supply unit 140 is used for receiving and controlling power supply of each layer of electric well of the cell according to the response signals of each layer of electric well of the cell.
Referring to fig. 2, the oscillation detection unit 110 includes an energy amplification module 111, a frequency selection module 112, and a positive feedback module 113, specifically, the energy amplification module 111 is configured to amplify a vibration frequency generated by current transmission of a bus in each layer of electric wells of a cell by using a triode, and form a plurality of radio frequency signals. The frequency selection module 112 is connected to the energy amplification module 111, and the frequency selection module 112 is configured to select a plurality of radio frequency signals and transmit the radio frequency signals to the spectrum sensing unit 120. The positive feedback module 113 is connected to the frequency selecting module 112, and the positive feedback module 113 is configured to transmit the output radio frequency signal to the output end of the smart grid demand response management platform 100, so as to form a feedback circuit.
The oscillation detecting unit 110 may perform down-conversion on a plurality of rf signals using an oscillator, the oscillator may be tuned to a specific frequency, and may obtain a specific if signal after mixing with a transmitted rf signal, and detect a leakage through a sensor node, determine which channel the leakage is on, and transmit the determination information to the oscillation detecting unit 110 through an independent control channel with a specific power, and the oscillation detecting unit 110 may determine whether to connect to a corresponding frequency band using the determination result to reduce a detection error rate caused by the leakage.
The spectrum sensing unit 120 includes a non-cooperative detection module 121, a cooperative detection module 122, and a weight assignment module 123, specifically, the non-cooperative detection module 121 is connected to the frequency selection module 112, and the non-cooperative detection module 121 is configured to receive a plurality of radio frequency signals, detect energy and filtering of the plurality of radio frequency signals, and output non-cooperative detection information. The cooperation detection module 122 is connected to the non-cooperation detection module 121, and the cooperation detection module 122 is configured to detect a spectrum hole by using information sharing and output cooperation detection information. The weight distribution module 123 is configured to receive the non-cooperation detection information and the cooperation detection information, calculate weights of the non-cooperation detection information and the cooperation detection information, and output a power demand weight corresponding to each household.
The non-cooperative detection module 121 detects filtering of the rf signal, the filtering detection is performed by using a matched filter, the detection is performed by demodulating the signal of the authorized user and requesting the cognitive user to provide a set of receiving and decoding devices for each type of authorized user, wherein a calculation formula of the detection statistic of the matched filter is as follows:
Y＝∑ny(n)x(n)2；
wherein x (n) represents the current frequency signal of the electric well bus line, and y (n) represents the comparison function.
The filtering detection also comprises detecting the signal-to-noise ratio output by the radio frequency signal so as to obtain the maximum value of the signal-to-noise ratio, and the calculation formula of the signal-to-noise ratio is as follows:
in the formula, EsRepresenting the energy of the current-generated RF signal during the detection period, N0The noise power in the electric well is represented, in addition, gaussian white noise is superposed on a channel when the channel transmits signals, the mean value of the gaussian white noise is zero, and the bilateral power spectral density is half of the noise power in the electric well, so that the function expression of the waveform of the received signal is as follows:
r(t)＝s(t)+n(t),0≤t≤T；
in the formula, n (T) represents white gaussian noise, s (T) represents signal-to-noise ratio, and T represents energy detection period.
The optimal linear filter h (w) under the assumption of the maximum output signal-to-noise ratio criterion, the output is:
y(t)＝s0(t)+n0(t)；
at t ═ tmAt the time, the output signal-to-noise ratio is:
let s (jw) ═ F [ s (t) ], the output signal after the matched filter is:
in the formula, tmIndicating the nominal value of the radio frequency characteristic, s0Representing the initial signal-to-noise value, H representing the assumed signal, w representing the signal variable, j representing the signal variable ratio, e representing the signal energy, a representing the total number of signals, NmRepresenting a gaussian white noise rating.
Referring to fig. 3, the energy of the rf signal generated by the current in the detection period of the filtering detection needs to increase the detection probability and the false alarm probability to increase the statistics of the matched filter detection, and the detection probability is calculated as follows:
M＝TW；
wherein s (T) represents signal-to-noise ratio, W represents radio frequency signal bandwidth, T represents energy detection period, lambda represents threshold value, and QM(,) denotes the Mar-cum Q function, H0Representing a null hypothesis.
The false alarm probability is calculated as follows:
in the formula, Y represents an output radio frequency, Γ () represents a complete Gamma function, and Γ (,) represents a non-complete Gamma function.
Referring to fig. 3, an example is given according to the false alarm probability and the detection probability, where L1, L2, L3, and L4 respectively indicate AWGN (SNR ═ 10), Rayleigh (< SNR > 20), Rayleigh (< SNR > 15, Rayleigh (< SNR > 10), the average signal-to-noise ratio under Rayleigh fading is 10dB, 15dB, and 20dB, the probability of missing P (P ═ 1-Pj), the AWGN case can be 10dB as the reference signal-to-noise ratio, the Rayleigh fading causes a significant reduction in the performance of the energy detector, and the false alarm probability is greater than 0.9 so that Pm <10-2, and the probability of using spectrum holes is less than 0.1.
The spectrum sensing unit 120 further includes cyclostationary feature detection, which is expressed by the following formula:
in the formula (I), the compound is shown in the specification,
representing the frequency of the cycles, XTRepresenting a stationary characteristic function, Δ T representing the energy detection period difference, f representing electricityNet noise variable, t denotes a radio frequency characteristic variable.
The spectrum sensing unit 120 distinguishes noise energy and modulated signal energy through cyclostationary feature detection, since noise is a generalized stationary signal and there is no correlation between frequency spectrums, and since modulated signal has obvious spectral correlation due to periodic redundancy, the cyclostationary feature detector has obvious superiority in noise immunity over the energy detector.
The cooperation detection module 122 adopts a cooperation detection method, supposes that the electric wells of b floors experience fading independent same distribution channels, detects the radio frequency energy of the electric well current of the b floors by using the matched filter with the same threshold value, outputs a detection result, and determines the weight of the demand response according to the detection result and the structure of the electric wells of b-1 floors.
The power demand response unit 130 includes a power demand module 131 and a power response module 132, specifically, the power demand module 131 is connected to the weight distribution module 123, and the power demand module 131 is configured to receive a power demand weight corresponding to each household. The power response module 132 is connected to the power demand module 131, and the power response module 132 is configured to transmit the response signal to the cell power supply unit 140, so as to form demand power supply, avoid the phenomenon of insufficient supply and demand, and solve the problem of unstable power supply in the cell.
Compared with the prior art, the invention detects the radio frequency signal transmitted by the current sent by the oscillation detection unit 110 in the electric well of the floor where the community users are located through the spectrum sensing unit 120, then carries out weight judgment according to the energy output by the radio frequency signal, forms a demand response and transmits the demand response to the community power supply unit to supply power to the user machine, thereby forming demand type power supply, avoiding the phenomenon of insufficient supply and demand and solving the problem of unstable power supply in the community.
Referring to fig. 4, another embodiment of the present invention provides a method for intelligent management of a demand side of a power grid, including:
s101, acquiring a current signal of each household of the community from a bus line in each electric well of the community, and converting the current signal of each household into a plurality of radio frequency signals.
S102, detecting energy values in the radio frequency signals, and outputting power demand weights corresponding to each household.
And S103, generating a response signal of each layer of electric well in the community according to the power demand weight corresponding to each household.
And S104, performing power supply control on each layer of electric well of the community according to the response signal of each layer of electric well of the community.
For specific limitations of the grid demand side intelligent management method, reference may be made to the above limitations of the grid demand side intelligent management device, and details are not repeated here.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A power grid demand side intelligent management system, comprising: a demand response management platform of the smart power grid;
the intelligent power grid demand response management platform comprises: the system comprises a spectrum sensing unit, an oscillation detection unit, a power demand response unit and a cell power supply unit;
the oscillation detection unit is used for being connected with a bus line in each electric well of each layer of the cell to acquire a current signal of each household of the cell and convert the current signal of each household into a plurality of radio frequency signals;
the spectrum sensing unit is used for receiving the radio-frequency signals sent by the oscillation detection unit, detecting energy values in the radio-frequency signals and outputting power demand weights corresponding to each household;
the power demand response unit is used for receiving and generating a response signal of each layer of electric well of the community according to the power demand weight corresponding to each household and transmitting the response signal to the community power supply unit;
and the cell power supply unit is used for receiving and controlling power supply of each layer of electric well of the cell according to the response signal of each layer of electric well of the cell.
2. The grid demand side intelligent management system of claim 1, wherein the oscillation detection unit comprises an energy amplification module;
the energy amplification module is used for amplifying the vibration frequency generated by the triode in the current transmission of the bus line in each layer of electric well of the cell and forming a plurality of radio frequency signals.
3. The grid demand side intelligent management system of claim 2, wherein the oscillation detection unit further comprises a frequency selection module;
the frequency selection module is connected with the energy amplification module and used for selecting the radio frequency signals and transmitting the radio frequency signals to the spectrum sensing unit.
4. The grid demand side intelligent management system of claim 3, wherein the oscillation detection unit further comprises a positive feedback module;
the positive feedback module is connected with the frequency selection module and used for transmitting the output radio-frequency signals to the output end of the intelligent power grid demand response management platform to form a feedback circuit.
5. The grid demand side intelligent management system of claim 4, wherein the spectrum sensing unit comprises a non-cooperative detection module;
the non-cooperative detection module is connected with the frequency selection module, and is used for receiving the radio frequency signals, detecting the energy and filtering of the radio frequency signals and outputting non-cooperative detection information.
6. The grid demand side intelligent management system of claim 5, wherein the spectrum sensing unit further comprises a cooperation detection module;
the cooperation detection module is connected with the non-cooperation detection module, and the cooperation detection module is used for detecting the frequency spectrum hole by using information sharing and outputting cooperation detection information.
7. The grid demand side intelligent management system of claim 6, wherein the spectrum sensing unit further comprises a weight assignment module;
the weight distribution module is used for receiving the non-cooperation detection information and the cooperation detection information, calculating the weight of the non-cooperation detection information and the cooperation detection information, and outputting the power demand weight corresponding to each household.
8. The grid demand side intelligent management system of claim 7, wherein the power demand response unit includes a power demand module;
the power demand module is connected with the weight distribution module and is used for receiving the power demand weight corresponding to each household.
9. The grid demand side intelligent management system of claim 8, wherein the power demand response unit comprises a power response module;
the power response module is connected with the power demand module and is used for transmitting a response signal of each layer of electric well of the community to the community power supply unit.
10. A power grid demand side intelligent management method is characterized by comprising the following steps:
acquiring a current signal of each household of a cell from a bus line in each electric well of each layer of the cell, and converting the current signal of each household into a plurality of radio frequency signals;
detecting energy values in the radio frequency signals and outputting power demand weights corresponding to each household;
generating a response signal of each layer of electric well in the community according to the power demand weight corresponding to each household;
and performing power supply control on each layer of electric well of the community according to the response signal of each layer of electric well of the community.
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