CN111967649B - Intelligent electricity utilization excitation demand response system and quick response method thereof - Google Patents
Intelligent electricity utilization excitation demand response system and quick response method thereof Download PDFInfo
- Publication number
- CN111967649B CN111967649B CN202010703554.3A CN202010703554A CN111967649B CN 111967649 B CN111967649 B CN 111967649B CN 202010703554 A CN202010703554 A CN 202010703554A CN 111967649 B CN111967649 B CN 111967649B
- Authority
- CN
- China
- Prior art keywords
- module
- price
- electricity
- unit
- electricity consumption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 352
- 230000004044 response Effects 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000005284 excitation Effects 0.000 title claims abstract description 20
- 238000004891 communication Methods 0.000 claims abstract description 18
- 230000002457 bidirectional effect Effects 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims description 46
- 238000001514 detection method Methods 0.000 claims description 36
- 238000004364 calculation method Methods 0.000 claims description 33
- 238000010586 diagram Methods 0.000 claims description 28
- 238000012544 monitoring process Methods 0.000 claims description 19
- 230000003993 interaction Effects 0.000 claims description 12
- 238000005192 partition Methods 0.000 claims description 8
- 238000009795 derivation Methods 0.000 claims description 7
- 238000000638 solvent extraction Methods 0.000 claims description 5
- 238000012790 confirmation Methods 0.000 claims description 4
- 230000033228 biological regulation Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 230000001105 regulatory effect Effects 0.000 abstract 1
- 230000000638 stimulation Effects 0.000 abstract 1
- 230000008676 import Effects 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an intelligent electricity utilization excitation demand response system and a quick response method thereof, wherein the intelligent electricity utilization excitation demand response system comprises a power grid layer, a network communication layer and a data acquisition layer, the power grid layer and the network communication layer are connected in a bidirectional manner, and the network communication layer and the data acquisition layer are connected in a bidirectional manner. According to the intelligent electricity consumption excitation demand response system and the quick response method thereof, the real-time electricity price is acquired through the electricity price acquisition module, then the basic electricity price is imported through the basic electricity price importing module, electricity price adjustment is carried out through the electricity consumption difference compared in the electricity consumption comparison module, adjustment is carried out through the price adjustment module when adjustment is carried out, adjustment is carried out according to the quick price of the used amount, when the used amount is small, the stimulation use of the electricity charge is reduced, when the used amount is large, the electricity charge is increased to reduce the use, the electricity demand can be regulated in real time, the response effect is better, the accuracy of a prediction model can be improved, and meanwhile, the uncertainty of the environment is overcome.
Description
Technical Field
The invention relates to the technical field of electricity utilization, in particular to an intelligent electricity utilization excitation demand response system and a quick response method thereof.
Background
With the development of society, the contradiction of mismatching of power supply and demand is increasingly prominent, how to effectively balance the power supply and demand, improving the reliability and stability of a power grid is a key problem in the design and operation of the power grid, the traditional way of increasing power supply to meet the demand of users not only increases a great deal of investment cost, but also is not sustainable, therefore, the resources on the demand side are effectively managed, the potential of the resources on the demand side is fully explored, the potential of the resources on the demand side is fully utilized, the important way of maintaining the safe and stable operation of the power grid and improving the efficiency of the power market is realized, the demand response is an important means of effectively solving the problems, the demand response refers to the fact that when the power consumer receives an induction signal from an energy service provider to reduce or transfer the power load of the power consumer during the high electricity price or electricity peak period, and the existing incentive demand response models are mostly model-based methods such as random planning, game theory and mixed integer linear planning.
According to the intelligent electricity consumption excitation demand response method and system based on artificial intelligence, which are disclosed in the patent number CN110705738A, a pre-built deep neural network prediction model is trained through an electric wholesale price prediction data set, a photovoltaic output power prediction data set and an electric user load prediction data set respectively, so that an electric wholesale price prediction model is built, price adjustment cannot be carried out according to different usage amounts in different periods when the electric wholesale price prediction model is used, the price adjustment is not timely enough, and the electric price cannot be adjusted according to peaks and troughs.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an intelligent electricity utilization excitation demand response system and a quick response method thereof, which solve the problems that the price can not be adjusted according to different usage amounts in different periods when in use, the price adjustment is not timely enough, and the electricity price can not be adjusted by adapting to wave crests and wave troughs.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the intelligent electricity utilization excitation demand response system comprises a power grid layer, a network communication layer and a data acquisition layer, wherein the power grid layer is in bidirectional connection with the network communication layer, and the network communication layer is in bidirectional connection with the data acquisition layer.
The power grid layer comprises an information interaction unit, an average electricity price importing unit, a change price calculating unit, a change information storage unit, a singlechip, an electricity price adjusting unit, a real-time electricity price monitoring unit, a power station power supply state analyzing unit, a self-checking unit and a warning unit, wherein the singlechip is respectively connected with the information interaction unit, the average electricity price importing unit, the change price calculating unit, the change information storage unit, the electricity price adjusting unit, the real-time electricity price monitoring unit, the power station power supply state analyzing unit and the self-checking unit in a bidirectional manner, the output end of the average electricity price importing unit is connected with the input end of the change price calculating unit, the output end of the change price calculating unit is connected with the input end of the electricity price adjusting unit, the output end of the electricity price adjusting unit is connected with the input end of the change information storage unit, the output end of the real-time electricity price monitoring unit is connected with the input end of the electricity price adjusting unit, the output ends of the power station power supply state analyzing unit and the self-checking unit are connected with the input end of the real-time electricity price monitoring unit, the output end of the self-checking unit is connected with the input end of the warning unit, the data acquisition layer comprises an average electricity consumption calculating unit, a user node configuration unit, an electricity price display end, an electricity consumption calculating unit and a demand response generating unit, the output ends of the average electricity consumption calculating unit, the electricity consumption calculating unit and the demand response generating unit are connected with the input end of the user node configuration unit, and the output end of the user node configuration unit is connected with the input end of the electricity price display end.
Preferably, the average electricity price importing unit comprises an electricity price obtaining module, an electricity price adjusting module and a basic electricity price generating module, wherein the output end of the electricity price obtaining module is connected with the input end of the electricity price adjusting module, and the output end of the electricity price adjusting module is connected with the input end of the basic electricity price generating module.
Preferably, the change information storage unit comprises an electricity price information collection module, a tree diagram display module, a storage module and a derivation module, wherein the output end of the electricity price information collection module is connected with the input end of the tree diagram display module, the output end of the tree diagram display module is connected with the input end of the storage module, and the output end of the storage module is connected with the input end of the derivation module.
Preferably, the electricity price adjusting unit comprises an electricity consumption reading module, a basic electricity price importing module, an electricity consumption comparing module, a price adjusting module, an electricity consumption difference setting module, a final electricity price outputting module, an electricity price extremum setting module and a price changing setting module, wherein the output ends of the electricity consumption reading module and the electricity consumption difference setting module are connected with the input end of the electricity consumption comparing module, the output ends of the basic electricity price importing module, the electricity consumption comparing module and the electricity price extremum setting module are connected with the input end of the price adjusting module, the output end of the price adjusting module is connected with the input end of the final electricity price outputting module, and the output end of the price changing setting module is connected with the input end of the basic electricity price importing module.
Preferably, the power station power supply state analysis unit comprises a load state detection module and a price adjustment guide module, and the output end of the load state detection module is connected with the input end of the price adjustment guide module.
Preferably, the self-checking unit comprises a price detecting module and a price fluctuation detecting module, wherein the output end of the price detecting module is connected with the input end of the price fluctuation detecting module, the warning unit comprises a warning module, a wireless receiving and transmitting module and a warning signal confirming module, the output end of the wireless receiving and transmitting module is connected with the input end of the warning signal confirming module, and the output end of the warning module is connected with the input end of the wireless receiving and transmitting module.
Preferably, the average electricity consumption calculation unit comprises a time interception module and an electricity consumption calculation module, and the output end of the time interception module is connected with the input end of the electricity consumption calculation module.
Preferably, the demand response generating unit comprises a threshold setting module, a partition module, a normal electricity consumption demand module, a low electricity consumption peak demand module and a high electricity consumption peak demand module, wherein the output end of the threshold setting module is connected with the input end of the partition module, and the output end of the partition module is respectively connected with the input ends of the normal electricity consumption demand module, the low electricity consumption peak demand module and the high electricity consumption peak demand module.
The invention also discloses a quick response method of the intelligent electricity utilization excitation demand response system, which comprises the following steps:
step one, calculating electricity consumption: the method comprises the steps that a time intercepting module in an average electricity consumption calculation unit intercepts a time period and calculates real-time average electricity consumption through an electricity consumption calculation module, then information is transmitted into an information interaction unit through a network communication layer, the information is read through an electricity consumption reading module, the difference value is preset through an electricity consumption difference setting module, electricity consumption comparison is carried out through an electricity consumption comparison module, electricity consumption change is calculated, at the moment, load state detection is carried out through a load state detection module in a power station power supply state analysis unit, and price guide adjustment is carried out through a price adjustment guide module;
step two, demand measurement and calculation: setting a threshold value through a threshold value setting module in the demand response generating unit, partitioning the electricity consumption through a partitioning module, and distinguishing and adjusting prices of the electricity consumption normal demand module, the electricity consumption low peak demand module and the electricity consumption peak demand module respectively;
step three, calculating: the real-time electricity price is acquired through the electricity price acquisition module, the electricity price adjustment is carried out through the electricity price adjustment module, then the basic electricity price is generated through the basic electricity price generation module, then the basic electricity price is imported through the basic electricity price import module, the electricity price adjustment is carried out through the electricity consumption difference compared in the electricity consumption comparison module, the adjustment is carried out through the price adjustment module when the adjustment is carried out, the price adjustment value is set through the price change setting module, and when the electricity consumption is small, the adjustment formula is as follows:
N＝n-s；
when the electricity consumption exceeds the electricity consumption, the regulation formula is as follows:
N＝n+s；
outputting the final electricity price through the final electricity price output module after the adjustment is finished, and at the moment, carrying out electricity price constraint through the electricity price extremum set in the electricity price extremum setting module;
fifthly, electricity price information storage: the price detection device comprises a price detection module, a price fluctuation detection module, a price information collection module, a tree diagram display module, a storage module and a price fluctuation detection module.
Preferably, N in the fourth step is a final electric value, N is a basic electric value derived by the basic electric value generating module, and s is a value set by the variable value setting module.
(III) beneficial effects
The invention provides an intelligent electricity utilization excitation demand response system and a quick response method thereof. Compared with the prior art, the method has the following beneficial effects:
(1) The intelligent electricity utilization excitation demand response system and the quick response method thereof realize bidirectional connection with a network communication layer by realizing bidirectional connection with a data acquisition layer, wherein the network layer comprises an information interaction unit, an average electricity price leading-in unit, a price change calculation unit, a change information storage unit, a singlechip, an electricity price adjustment unit, a real-time electricity price monitoring unit, a power station power supply state analysis unit, a self-checking unit and a warning unit, the singlechip is respectively connected with the information interaction unit, the average electricity price leading-in unit, the price change calculation unit, the change information storage unit, the electricity price adjustment unit, the real-time electricity price monitoring unit, the power station power supply state analysis unit and the self-checking unit, the output end of the average electricity price leading-in unit is connected with the input end of the price change calculation unit, the output end of the price change calculation unit is connected with the input end of the electricity price adjustment unit, the output end of the power price adjusting unit is connected with the input end of the change information storage unit, the output end of the real-time power price monitoring unit is connected with the input end of the power price adjusting unit, the output ends of the power station power supply state analyzing unit and the self-checking unit are both connected with the input end of the real-time power price monitoring unit, the output end of the self-checking unit is connected with the input end of the warning unit, the data acquisition layer comprises an average power consumption calculating unit, a user node configuration unit, a power price display end, a power consumption calculating unit and a demand response generating unit, the output ends of the average power consumption calculating unit, the power consumption calculating unit and the demand response generating unit are all connected with the input end of the user node configuration unit, the output end of the user node configuration unit is connected with the input end of the power price display end, the real-time power price is acquired through the power price acquiring module, then leading-in module of the basic price of electricity is leading-in, adjusts the price of electricity through the electricity consumption difference that compares out in the electricity consumption contrast module, adjusts through the price adjustment module when adjusting, adjusts according to how much quick price of use amount, reduces the stimulated use of charges of electricity when the use amount is few, when the use amount is many, increases charges of electricity and reduces the use, can follow up the electric quantity demand in real time and adjust, and response effect is better, can promote the precision of predictive model, has overcome the uncertainty of environment simultaneously.
(2) The intelligent electricity consumption excitation demand response system and the quick response method thereof comprise a load state detection module and a price adjustment guide module, wherein the power supply state analysis unit of the power station is provided with an output end of the load state detection module connected with an input end of the price adjustment guide module, the load state detection module is read through an electricity consumption reading module, the difference value is preset through an electricity consumption difference setting module, then electricity consumption comparison is carried out through an electricity consumption comparison module, the electricity consumption change is measured and calculated, at the moment, the load state detection is carried out through the load state detection module in the power supply state analysis unit of the power station, the price guide adjustment is carried out through the price adjustment guide module, the price guide adjustment is carried out according to real-time change, and the intelligent electricity consumption excitation demand response system is more accurate in large-direction grasping.
(3) The intelligent electricity consumption excitation demand response system and the quick response method thereof comprise an electricity consumption reading module, a basic electricity price leading-in module, an electricity consumption comparison module, a price adjustment module, an electricity consumption difference setting module, a final electricity price output module, an electricity price extremum setting module and a price change setting module, wherein the output ends of the electricity consumption reading module and the electricity consumption difference setting module are connected with the input end of the electricity consumption comparison module, the output ends of the basic electricity price leading-in module, the electricity consumption comparison module and the electricity price extremum setting module are connected with the input end of the price adjustment module, the output end of the price adjustment module is connected with the input end of the final electricity price output module, the output end of the price change setting module is connected with the input end of the basic electricity price leading-in module, the self-checking unit comprises a price detecting module and a price fluctuation detecting module, the output end of the price detecting module is connected with the input end of the price fluctuation detecting module, the warning unit comprises a warning module, a wireless receiving and transmitting module and a warning signal confirming module, the output end of the wireless receiving and transmitting module is connected with the input end of the warning signal confirming module, the output end of the warning module is connected with the input end of the wireless receiving and transmitting module, the electricity price is detected through the real-time electricity price monitoring unit, the self-checking unit is used for self-checking, price and price fluctuation are detected through the price detecting module and the price fluctuation detecting module respectively, when the detection is abnormal, the warning is carried out through the warning unit, the self-checking can be carried out in real time, and the safety is higher.
(4) The intelligent electricity utilization excitation demand response system and the quick response method thereof comprise an electricity price information collection module, a tree diagram display module, a storage module and a derivation module, wherein the change information storage unit comprises an electricity price information collection module, a tree diagram display module, a storage module and a derivation module, the output end of the electricity price information collection module is connected with the input end of the tree diagram display module, the output end of the tree diagram display module is connected with the input end of the storage module, the electricity price is collected through the electricity price information collection module, then data display is carried out through the tree diagram display module, the data are stored through the storage module, when the electricity price information is required to be consulted, the information is derived through the derivation module, the electricity price information can be quickly displayed, and the observation is more direct.
Drawings
FIG. 1 is a schematic block diagram of a system of the present invention;
FIG. 2 is a functional block diagram of the power grid layer, network communication layer, and data acquisition layer of the present invention;
FIG. 3 is a schematic block diagram of the average electricity price import unit of the present invention;
FIG. 4 is a schematic block diagram of a change information storage unit according to the present invention;
FIG. 5 is a schematic block diagram of the electricity price adjusting unit of the present invention;
FIG. 6 is a schematic block diagram of a power station power state analysis unit of the present invention;
FIG. 7 is a schematic block diagram of a self-test unit of the present invention;
FIG. 8 is a schematic block diagram of a warning unit according to the present invention;
FIG. 9 is a schematic block diagram of an average power consumption calculation unit according to the present invention;
fig. 10 is a schematic block diagram of a demand response generation unit of the present invention.
In the drawing the view of the figure, the system comprises a 1-grid layer, a 2-network communication layer, a 3-data acquisition layer, a 11-information interaction unit, a 12-average electricity price import unit, a 13-change price calculation unit, a 14-change information storage unit, a 15-singlechip, a 16-electricity price adjustment unit, a 17-real-time electricity price monitoring unit, a 18-power station power supply state analysis unit, a 19-self-checking unit, a 110-warning unit, a 121-electricity price acquisition module, a 122-electricity price adjustment module, a 123-base electricity price generation module, a 141-electricity price information collection module, a 142-tree diagram display module, a 143-storage module, a 144-export module, a 161-electricity consumption reading module, a 162-base electricity price import module, a 163-electricity consumption comparison module, a 164-price adjustment module, a 165-electricity consumption difference setting module, a 166-final electricity price output module, a 167-electricity price extremum setting module, a 168-change price setting module, a 181-load state detection module, a 182-adjustment guiding module, a 1101-price detection module, a 192-fluctuation detection module, a 1101-wireless 1102-radio price adjustment module, a 1102-receiving module, a 123-base electricity price generation module, a 161-electricity consumption reading module, a 161-average electricity price information collection module, a 35-to calculate a threshold value demand value of the system, a threshold value of the system, a user demand of the system, a 35-state of the system, a user demand of the system, a 35-state of the system, a user equipment, a 35-state of the system, a 35-state, and a user equipment, a 35-to be, 354-electricity consumption low peak demand module, 355-electricity consumption high peak demand module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-10, the embodiment of the invention provides a technical scheme: the utility model provides an intelligence electricity consumption excitation demand response system, includes electric wire netting layer 1, network communication layer 2 and data acquisition layer 3, its characterized in that: the power grid layer 1 is in bidirectional connection with the network communication layer 2, the network communication layer 2 is in bidirectional connection with the data acquisition layer 3, the power grid layer 1 comprises an information interaction unit 11, an average electricity price importing unit 12, a change price calculating unit 13, a change information storage unit 14, a singlechip 15, an electricity price adjusting unit 16, a real-time electricity price monitoring unit 17, a power station power supply state analyzing unit 18, a self-checking unit 19 and a warning unit 110, the singlechip 15 is respectively in bidirectional connection with the information interaction unit 11, the average electricity price importing unit 12, the change price calculating unit 13, the change information storage unit 14, the electricity price adjusting unit 16, the real-time electricity price monitoring unit 17, the power station power supply state analyzing unit 18 and the self-checking unit 19, the output end of the average electricity price importing unit 12 is connected with the input end of the change price calculating unit 13, the output end of the change price calculating unit 13 is connected with the input end of the electricity price adjusting unit 16, the output end of the electricity price adjusting unit 16 is connected with the input end of the change information storage unit 14, the output end of the real-time electricity price monitoring unit 17 is connected with the input end of the electricity price adjusting unit 16, the electricity price is detected through the real-time electricity price monitoring unit 17, self-checking is carried out through the self-checking unit 19, price and price fluctuation are detected through the price detecting module 191 and the price fluctuation detecting module 192 respectively, when the detection is abnormal, the self-checking can be carried out in real time by warning unit 110, the safety is higher, the output ends of the power station power supply state analyzing unit 18 and the self-checking unit 19 are connected with the input end of the real-time electricity price monitoring unit 17, the output end of the self-checking unit 19 is connected with the input end of the warning unit 110, and the data acquisition layer 3 comprises an average electricity consumption calculating unit 31, a user node configuration unit 32 and an electricity price display end 33, the electricity consumption amount calculation unit 34 and the demand response generation unit 35, the average electricity consumption amount calculation unit 31, the electricity consumption amount calculation unit 34 and the demand response generation unit 35 are all connected with the input end of the user node configuration unit 32, the output end of the user node configuration unit 32 is connected with the input end of the electricity price display unit 33, the average electricity price introduction unit 12 comprises an electricity price acquisition module 121, an electricity price adjustment module 122 and a basic electricity price generation module 123, the output end of the electricity price acquisition module 121 is connected with the input end of the electricity price adjustment module 122, the output end of the electricity price adjustment module 122 is connected with the input end of the basic electricity price generation module 123, the change information storage unit 14 comprises an electricity price information collection module 141, a tree diagram display module 142, a storage module 143 and an export module 144, the electricity price is collected through the electricity price information collection module 141, and then data display is performed through the tree diagram display module 142, the electricity price information is exported through the export module 143 when the information is needed to be consulted, the electricity price information can be rapidly displayed, the observation is more direct, the output end of the electricity price information collection module 141 is connected with the input end of the tree diagram display module 142, the output end of the tree diagram display module 142 is connected with the input end of the storage module 143, the output end of the storage module 143 is connected with the input end of the export module 144, the electricity price adjusting unit 16 comprises an electricity consumption reading module 161, a basic electricity price import module 162, an electricity consumption comparison module 163, a price adjustment module 164, an electricity consumption difference degree setting module 165, a final electricity price output module 166, an electricity price extreme value setting module 167 and a price change setting module 168, the output ends of the electricity consumption reading module 161 and the electricity consumption difference degree setting module 165 are connected with the input end of the electricity consumption comparison module 163, the output ends of the basic electricity price importing module 162, the electricity consumption comparing module 163 and the electricity price extremum setting module 167 are all connected with the input end of the price adjusting module 164, the output end of the price adjusting module 164 is connected with the input end of the final electricity price outputting module 166, the output end of the price changing setting module 168 is connected with the input end of the basic electricity price importing module 162, the electricity consumption reading module 161 is used for reading, the difference value is set in advance through the electricity consumption difference setting module 165, then the electricity consumption comparing module 163 is used for comparing the electricity consumption, the electricity consumption change is measured, at the moment, the load state detection module 181 in the power station power supply state analyzing unit 18 is used for detecting the load state, the price guiding adjustment is carried out through the price guiding module 182, the price guiding adjustment is carried out according to the real-time change, the large-direction grasping is more accurate, the power station power supply state analysis unit 18 comprises a load state detection module 181 and a price adjustment guide module 182, the output end of the load state detection module 181 is connected with the input end of the price adjustment guide module 182, the self-checking unit 19 comprises a price detection module 191 and a price fluctuation detection module 192, the output end of the price detection module 191 is connected with the input end of the price fluctuation detection module 192, the warning unit 110 comprises a warning module 1101, a wireless receiving and transmitting module 1102 and a warning signal confirmation module 1103, the output end of the wireless receiving and transmitting module 1102 is connected with the input end of the warning signal confirmation module 1103, the output end of the warning module 1101 is connected with the input end of the wireless receiving and transmitting module 1102, the average power consumption calculation unit 31 comprises a time intercepting module 311 and a power consumption calculation module 312, the output end of the time intercepting module 311 is connected with the input end of the power consumption calculation module 312, and the demand response generation unit 35 comprises a threshold setting module 351, the power consumption normal demand module 353, the power consumption low peak demand module 354 and the power consumption peak demand module 355, the output of the threshold setting module 351 is connected with the input of the partition module 352, the output of the partition module 352 is respectively connected with the input of the power consumption normal demand module 353, the power consumption low peak demand module 354 and the power consumption peak demand module 355, the real-time power price is obtained through the power price obtaining module 121, then the basic power price is imported through the basic power price importing module 162, the power price is adjusted through the power consumption difference compared in the power consumption comparing module 163, the adjustment is carried out according to the rapid price of the using amount when the adjusting amount is adjusted, the power cost is reduced to stimulate the use when the using amount is small, when the using amount is large, the power cost is increased to reduce the use, the power consumption can be adjusted in real time, the response effect is better, the accuracy of the prediction model can be improved, and meanwhile, the uncertainty of the environment is overcome.
The invention also discloses a quick response method of the intelligent electricity utilization excitation demand response system, which comprises the following steps:
step one, calculating electricity consumption: the time interception module 341 in the average electricity consumption calculation unit 31 intercepts the time period, calculates the real-time average electricity consumption through the electricity consumption calculation module 34, then transmits information into the information interaction unit 11 through the network communication layer 2, reads the information through the electricity consumption reading module 161, sets the difference value in advance through the electricity consumption difference setting module 165, compares the electricity consumption through the electricity consumption comparison module 163, calculates the electricity consumption change, and at the moment, detects the load state through the load state detection module 181 in the power station power supply state analysis unit 18 and carries out price guide adjustment through the price adjustment guide module 182;
step two, demand measurement and calculation: the threshold value is set by a threshold value setting module 351 in the demand response generating unit 35, the electricity consumption is partitioned by a partitioning module 352, and the electricity consumption normal demand module 353, the electricity consumption low peak demand module 354 and the electricity consumption peak demand module 355 are respectively distinguished for price adjustment;
step three, calculating: the real-time electricity price is acquired through the electricity price acquisition module 121, the electricity price is adjusted through the electricity price adjustment module 122, then the basic electricity price is generated through the basic electricity price generation module 123, then the basic electricity price is imported through the basic electricity price import module 162, the electricity price is adjusted through the electricity consumption difference compared in the electricity consumption comparison module 163, the adjustment is performed through the price adjustment module 164 during adjustment, the price adjustment value is set through the price change setting module 168, and when the electricity consumption is small, the adjustment formula is:
N＝n-s；
when the electricity consumption exceeds the electricity consumption, the regulation formula is as follows:
N＝n+s；
after the adjustment, the final electricity price is output through the final electricity price output module 166, and at this time, the electricity price limitation is performed through the electricity price extremum set in the electricity price extremum setting module 167, N in the fourth step is the final electricity value, N is the basic electricity value derived by the basic electricity price generating module 123, and s is the value set by the change price setting module 168;
fifthly, electricity price information storage: the real-time electricity price monitoring unit 17 is used for detecting the electricity price, the self-checking unit 19 is used for self-checking, the price detecting module 191 and the price fluctuation detecting module 192 are used for detecting price and price fluctuation respectively, when the detection is abnormal, the warning unit 110 is used for warning, after the electricity price is adjusted, the electricity price is collected through the electricity price information collecting module 141, then the data display is carried out through the tree diagram display module 142, the storage module 143 is used for storing the data, and the information is exported through the export module 144 when the reference is needed.
And all that is not described in detail in this specification is well known to those skilled in the art.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. The utility model provides an intelligence electricity consumption excitation demand response system, includes electric wire netting layer (1), network communication layer (2) and data acquisition layer (3), its characterized in that: the power grid layer (1) is in bidirectional connection with the network communication layer (2), and the network communication layer (2) is in bidirectional connection with the data acquisition layer (3);
the power grid layer (1) comprises an information interaction unit (11), an average electricity price introduction unit (12), a change price calculation unit (13), a change information storage unit (14), a singlechip (15), an electricity price adjustment unit (16), a real-time electricity price monitoring unit (17), a power station power supply state analysis unit (18), a self-checking unit (19) and a warning unit (110), wherein the singlechip (15) is respectively connected with the information interaction unit (11), the average electricity price introduction unit (12), the change price calculation unit (13), the change information storage unit (14), the electricity price adjustment unit (16), the real-time electricity price monitoring unit (17), the power station power supply state analysis unit (18) and the self-checking unit (19), the output end of the average electricity price introduction unit (12) is connected with the input end of the change price calculation unit (13), the output end of the change price calculation unit (13) is connected with the input end of the electricity price adjustment unit (16), the output end of the electricity price adjustment unit (16) is connected with the input end of the power station (16), the output end of the real-time electricity price adjustment unit (17) is connected with the power supply state analysis unit (17) and the self-checking unit (19), the output end of the self-checking unit (19) is connected with the input end of the warning unit (110), the data acquisition layer (3) comprises an average electricity consumption calculation unit (31), a user node configuration unit (32), an electricity price display end (33), an electricity consumption calculation unit (34) and a demand response generation unit (35), the output ends of the average electricity consumption calculation unit (31), the electricity consumption calculation unit (34) and the demand response generation unit (35) are connected with the input end of the user node configuration unit (32), and the output end of the user node configuration unit (32) is connected with the input end of the electricity price display end (33);
the average electricity price importing unit (12) comprises an electricity price obtaining module (121), an electricity price adjusting module (122) and a basic electricity price generating module (123), wherein the output end of the electricity price obtaining module (121) is connected with the input end of the electricity price adjusting module (122), and the output end of the electricity price adjusting module (122) is connected with the input end of the basic electricity price generating module (123);
the change information storage unit (14) comprises an electricity price information collection module (141), a tree diagram display module (142), a storage module (143) and a derivation module (144), wherein the output end of the electricity price information collection module (141) is connected with the input end of the tree diagram display module (142), the output end of the tree diagram display module (142) is connected with the input end of the storage module (143), and the output end of the storage module (143) is connected with the input end of the derivation module (144);
the electricity price adjusting unit (16) comprises an electricity consumption reading module (161), a basic electricity price importing module (162), an electricity consumption comparing module (163), a price adjusting module (164), an electricity consumption difference degree setting module (165), a final electricity price outputting module (166), an electricity price extreme value setting module (167) and a price changing setting module (168), wherein the output ends of the electricity consumption reading module (161) and the electricity consumption difference degree setting module (165) are connected with the input end of the electricity consumption comparing module (163), the output ends of the basic electricity price importing module (162), the electricity consumption comparing module (163) and the electricity price extreme value setting module (167) are connected with the input end of the price adjusting module (164), the output end of the price adjusting module (164) is connected with the input end of the final electricity price outputting module (166), and the output end of the price changing setting module (168) is connected with the input end of the basic electricity price importing module (162);
the power station power supply state analysis unit (18) comprises a load state detection module (181) and a price adjustment guide module (182), wherein the output end of the load state detection module (181) is connected with the input end of the price adjustment guide module (182);
the self-checking unit (19) comprises a price detection module (191) and a price fluctuation detection module (192), wherein the output end of the price detection module (191) is connected with the input end of the price fluctuation detection module (192), the warning unit (110) comprises a warning module (1101), a wireless receiving and transmitting module (1102) and a warning signal confirmation module (1103), the output end of the wireless receiving and transmitting module (1102) is connected with the input end of the warning signal confirmation module (1103), and the output end of the warning module (1101) is connected with the input end of the wireless receiving and transmitting module (1102);
the average electricity consumption calculation unit (31) comprises a time interception module (311) and an electricity consumption calculation module (312), wherein the output end of the time interception module (311) is connected with the input end of the electricity consumption calculation module (312);
the demand response generation unit (35) comprises a threshold setting module (351), a partition module (352), an electricity consumption normal demand module (353), an electricity consumption low peak demand module (354) and an electricity consumption high peak demand module (355), wherein the output end of the threshold setting module (351) is connected with the input end of the partition module (352), and the output end of the partition module (352) is respectively connected with the input ends of the electricity consumption normal demand module (353), the electricity consumption low peak demand module (354) and the electricity consumption high peak demand module (355);
the quick response method of the intelligent electricity utilization excitation demand response system comprises the following steps:
step one, calculating electricity consumption: the method comprises the steps of intercepting a time period through a time intercepting module (311) in an average electricity consumption calculating unit (31), calculating real-time average electricity consumption through an electricity consumption calculating module (312), then conveying information into an information interaction unit (11) through a network communication layer (2), reading through an electricity consumption reading module (161), setting a difference value in advance through an electricity consumption difference degree setting module (165), comparing electricity consumption through an electricity consumption comparing module (163), measuring and calculating electricity consumption change, detecting a load state through a load state detecting module (181) in a power station power supply state analyzing unit (18), and conducting price guiding adjustment through a price adjusting guiding module (182);
step two, demand measurement and calculation: setting a threshold value through a threshold value setting module (351) in the demand response generating unit (35), partitioning the electricity consumption through a partitioning module (352), and distinguishing and adjusting prices through an electricity normal demand module (353), an electricity low peak demand module (354) and an electricity peak demand module (355) respectively;
step three, calculating: acquiring real-time electricity price through an electricity price acquisition module (121), adjusting the electricity price through an electricity price adjustment module (122), generating basic electricity price through a basic electricity price generation module (123), then importing through a basic electricity price importing module (162), adjusting the electricity price through the electricity consumption difference compared in an electricity consumption comparison module (163), adjusting through an electricity price adjustment module (164) during adjustment, setting an adjustment value through a change price setting module (168), and adjusting the formula to be when the electricity consumption is small:
N=n-s；
when the electricity consumption exceeds the electricity consumption, the regulation formula is as follows:
N=n+s；
wherein, N is the final electricity value, N is the basic electricity value derived by the basic electricity price generating module (123), s is the value set by the variable price setting module (168), the final electricity price is output through the final electricity price output module (166) after the adjustment is finished, and the electricity price constraint is carried out through the electricity price extremum set in the electricity price extremum setting module (167);
fourth, electricity price information storage: the utility model discloses a real-time electricity price monitoring unit (17) detects the price, carries out the self-checking through self-checking unit (19), carries out price and price fluctuation's detection through price detection module (191) and price fluctuation detection module (192) respectively, and when detecting abnormally, warn through warning unit (110), after carrying out the price adjustment, collect the price through price information collection module (141), then carry out data display through arborescence display module (142), store through storage module (143), export information through export module (144) when consulting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010703554.3A CN111967649B (en) | 2020-07-21 | 2020-07-21 | Intelligent electricity utilization excitation demand response system and quick response method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010703554.3A CN111967649B (en) | 2020-07-21 | 2020-07-21 | Intelligent electricity utilization excitation demand response system and quick response method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111967649A CN111967649A (en) | 2020-11-20 |
| CN111967649B true CN111967649B (en) | 2024-01-05 |
Family
ID=73362537
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010703554.3A Active CN111967649B (en) | 2020-07-21 | 2020-07-21 | Intelligent electricity utilization excitation demand response system and quick response method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111967649B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113178862A (en) * | 2021-04-15 | 2021-07-27 | 国网河北省电力有限公司沧州供电分公司 | Game theory-based offshore oilfield group power system standby sequence calculation method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090020352A (en) * | 2007-08-23 | 2009-02-26 | 한전케이디엔주식회사 | Power demand management system and method through fluctuating price and compensation policy |
| KR20110042871A (en) * | 2009-10-20 | 2011-04-27 | 한국전력공사 | Apparatus and method for processing power information change and display apparatus |
| CN103606091A (en) * | 2013-09-02 | 2014-02-26 | 河海大学 | Real time electricity price information interaction method of intelligent power distribution network and based on load sensitivity |
| JP2014124065A (en) * | 2012-12-21 | 2014-07-03 | Fuji Electric Co Ltd | Power demand prediction device and program |
| CN107067191A (en) * | 2017-05-18 | 2017-08-18 | 合肥工业大学 | Excitation requirement response method and system based on cloud under intelligent grid environment |
| CN107392442A (en) * | 2017-07-03 | 2017-11-24 | 上海安悦节能技术有限公司 | Low pressure electric substation user's energy consumption evaluation method |
| CN109376970A (en) * | 2018-12-21 | 2019-02-22 | 青岛理工大学 | Dynamic real-time electricity price mechanism forming method and system suitable for energy Internet |
| CN208607698U (en) * | 2018-05-03 | 2019-03-15 | 湖州师范学院 | A kind of electric vehicle charging dynamic charge system |
| CN110322074A (en) * | 2019-07-09 | 2019-10-11 | 北京华电天仁电力控制技术有限公司 | A kind of Short-term electricity price forecasting method and system considering electricity supply and demand relationship |
| CN110705738A (en) * | 2019-08-13 | 2020-01-17 | 合肥工业大学 | Intelligent electricity utilization stimulation demand response method and system based on artificial intelligence |
-
2020
- 2020-07-21 CN CN202010703554.3A patent/CN111967649B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090020352A (en) * | 2007-08-23 | 2009-02-26 | 한전케이디엔주식회사 | Power demand management system and method through fluctuating price and compensation policy |
| KR20110042871A (en) * | 2009-10-20 | 2011-04-27 | 한국전력공사 | Apparatus and method for processing power information change and display apparatus |
| JP2014124065A (en) * | 2012-12-21 | 2014-07-03 | Fuji Electric Co Ltd | Power demand prediction device and program |
| CN103606091A (en) * | 2013-09-02 | 2014-02-26 | 河海大学 | Real time electricity price information interaction method of intelligent power distribution network and based on load sensitivity |
| CN107067191A (en) * | 2017-05-18 | 2017-08-18 | 合肥工业大学 | Excitation requirement response method and system based on cloud under intelligent grid environment |
| CN107392442A (en) * | 2017-07-03 | 2017-11-24 | 上海安悦节能技术有限公司 | Low pressure electric substation user's energy consumption evaluation method |
| CN208607698U (en) * | 2018-05-03 | 2019-03-15 | 湖州师范学院 | A kind of electric vehicle charging dynamic charge system |
| CN109376970A (en) * | 2018-12-21 | 2019-02-22 | 青岛理工大学 | Dynamic real-time electricity price mechanism forming method and system suitable for energy Internet |
| CN110322074A (en) * | 2019-07-09 | 2019-10-11 | 北京华电天仁电力控制技术有限公司 | A kind of Short-term electricity price forecasting method and system considering electricity supply and demand relationship |
| CN110705738A (en) * | 2019-08-13 | 2020-01-17 | 合肥工业大学 | Intelligent electricity utilization stimulation demand response method and system based on artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| 电量电费管理系统的设计与实现;翁利国;《软件开发》;第27-28页 * |
| 计及需求响应不确定性的智能用电双向互动仿真;姜勇;《电力系统及其自动化学报》;第28卷(第9期);第48-55页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111967649A (en) | 2020-11-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103197138B (en) | A kind of intelligent electric meter and monitoring method with power supply reliability and rate of qualified voltage monitoring function | |
| CN103038971B (en) | Method for controlling PV installations in an electrical grid | |
| US20140365419A1 (en) | Adaptation of a power generation capacity and determining of an energy storage unit size | |
| CN107741577B (en) | Gateway meter accuracy online monitoring and analyzing method and system | |
| CN105075053A (en) | Battery control device, battery control system, battery control method, and recording medium | |
| Li et al. | Advanced metering standard infrastructure for smart grid | |
| CN103364631A (en) | High-voltage user photovoltaic power generation electric energy metering system and method thereof | |
| CN103412182A (en) | Method for monitoring voltage qualification rate by use of electric energy metering device | |
| CN211579703U (en) | Multi-core module internet of things sensing terminal | |
| CN107063337A (en) | Power-supply device harvester and managing and control system | |
| CN111967649B (en) | Intelligent electricity utilization excitation demand response system and quick response method thereof | |
| KR20190007339A (en) | Appratus and method for managing new and renewable energy | |
| CN116599151A (en) | Source network storage safety management method based on multi-source data | |
| CN112381467A (en) | Artificial intelligence line loss analysis system based on big data of distribution station district total collection | |
| AU2017244797B2 (en) | A system and method for adaptively maximizing cost savings or profits for utility usage | |
| CN109934374A (en) | Power consumption forecasting system and its method | |
| Faranda et al. | SCADA system for optimization of energy exchange with the BESS in a residential case | |
| CN115575884B (en) | Method for aligning charging quantity of charging piles in charging station and calculating metering error | |
| CN203643522U (en) | System used for measuring solar photovoltaic generating efficiency | |
| CN109919501A (en) | The operation of community's distributed power grid based on block chain and transaction settlement method | |
| CN102914694B (en) | There is the intelligent electric meter of load measurement function | |
| CN112613670A (en) | Device and method for predicting power consumer demand based on weight distribution | |
| CN208369314U (en) | A kind of solar photovoltaic grid-connection power generation acquisition and control device | |
| CN113437800A (en) | New forms of energy electricity generation monitoring platform | |
| CN117557300B (en) | Method and system for deducing business liveness based on energy consumption data of main equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |