CN114255544A - Demand calculation method for different meters of same household of electric power charging system - Google Patents
Demand calculation method for different meters of same household of electric power charging system Download PDFInfo
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- CN114255544A CN114255544A CN202111402343.7A CN202111402343A CN114255544A CN 114255544 A CN114255544 A CN 114255544A CN 202111402343 A CN202111402343 A CN 202111402343A CN 114255544 A CN114255544 A CN 114255544A
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- 238000004364 calculation method Methods 0.000 title claims abstract description 43
- 238000004891 communication Methods 0.000 claims abstract description 11
- 230000005611 electricity Effects 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 7
- 238000004146 energy storage Methods 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/12—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity in which metering is on a time basis
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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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
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a demand calculation method for different meters of the same household of an electric power charging system, which comprises the following steps: s1: the intelligent demand ammeter with the built-in Internet of things communication function, the DTU communication module, the edge calculation server and the touch screen form a completed metering and early warning regulation and control system; s2: firstly, the edge calculation server in S1 issues a clock synchronization instruction to all the intelligent demand meters which are successfully connected; s3: the intelligent demand meter in S2 realizes clock synchronization with the edge calculation server. When the multi-meter clock synchronization system is used, relevant parameters are conveniently applied to actual regulation and control, more important application requirements are met, the voltage and current of each loop can be collected and calculated in real time, the clock synchronization characteristic is better, automatic synchronization of the multi-meter clock at the beginning and the end of each month can be realized, the risk of time difference during use is reduced, the problem of precision reduction caused by time accumulation errors is solved, and the product reliability is improved.
Description
Technical Field
The invention relates to the technical field of electric power charging systems, in particular to a demand calculation method for different meters of the same household of an electric power charging system.
Background
According to the related documents of development and improvement committee, at present, large industrial electricity users above 315kVA (100 kVA in partial regions) in China adopt two parts of electricity price, basic electricity charge for electricity charge, electricity quantity charge and power regulation charge. There are two charging modes for the basic electricity charge: 1. charging according to the size of the transformer capacity (kVA) and the unit price of the capacity (element/(kVA month); 2, charging according to the size of the maximum demand (maximum demand value (kW) and the unit price of the demand (element/(kW month); and the unit price of the demand is generally 1.5 times of the unit price of the capacity).
Meanwhile, accurate demand calculation is more beneficial to implementation of maximum demand reduction measures, safe lines, economic line operation, power grid dispatching, saving of power plant investment for the country and the like.
At present, in the market, for electricity users with multiple meters in the same household, the simple algebraic sum of the demand of multiple independent electricity meters is mostly adopted. Because the maximum demand is the maximum average power value (the current setting method of the maximum demand in China) of every 15 minutes in the same month, the time points of the maximum demand collected by each electric meter are inconsistent under the condition, and due to the popularization of the distributed energy system, partial loop electric meters have the opportunity to transmit power back to the power grid (the demand of the electric meter at the moment is a negative value under the condition), and therefore, the demand calculation mode under the condition of multiple meters of the same household is to be improved.
In the case that the times of maximum demand of the upper and lower-level electric meters are usually inconsistent, simple algebraic difference calculation shows the degree of inaccuracy due to the fact that the resident electricity consumption such as large industrial production electricity consumption and dormitory photos exists in the same factory boundary range and the resident electricity consumption policy does not need basic electricity charges.
More importantly, the demand monitoring and metering in the current market is mostly used for background charging, and related parameters are not used for actual regulation and control, so that more important application requirements cannot be met. Moreover, the current demand ammeter algorithm on the market has no negative value, and cannot be applied to the same household number, a plurality of electric network electric quantity meters and a scene with reversed load.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a demand calculation method for different meters of the same household of an electric power charging system.
The invention provides a demand calculation method for different meters of the same household of an electric power charging system, which comprises the following steps:
the method comprises the following steps:
s1: an intelligent demand ammeter with a built-in internet of things communication function, a DTU communication module, an edge calculation server and a touch screen form a complete metering and early warning regulation and control system;
s2: firstly, the edge calculation server in S1 issues a clock synchronization instruction to all the intelligent demand meters which are successfully connected;
s3: the intelligent demand meter in the S2 and the edge calculation server realize clock synchronization;
s4: the intelligent demand meter in the S3 collects the voltage and current of each loop in real time, and then calculates the collected voltage and current in real time and stores the voltage and current in a local register;
s5: the intelligent demand meter in the S4 calculates the maximum demand and the occurrence time of each loop according to the collected voltage and current, and uploads the calculated maximum demand and the occurrence time of each loop to the edge calculation server through the DTU communication module;
s6: the edge calculation server in S5 calculates the vector difference or vector sum of the maximum demand according to the time point of the maximum demand and the occurrence time of each loop, and combines the requirements set in advance;
s7: the edge calculation server in the S6 collects the real-time power of each electric meter every minute while collecting the demand of the intelligent demand electric meter, substitutes the demand algorithm into the demand change predicted whether the demand change caused by the power change of the next 2-14 minutes exceeds the set value, if the prediction exceeds the set value, the edge calculation server sends a signal to control the energy storage system to change the standby power charging working condition into the power supply working condition, and meanwhile, the edge calculation server gives the power supply power.
Preferably, in S2, the edge calculation server may calculate, at 0: 00 automatically perform clock synchronization.
Preferably, in S4, when the collected power is in a load shedding state, the demand is a negative value.
Preferably, in S7, when the edge computing server gives the power of the power supply, the edge computing server further sends a signal to control the controllable load to unload or reduce the load.
Preferably, in S4, the demand can be obtained by using vector differences or vector sums of devices as needed to satisfy the application scenario of multi-table serial or parallel relationship.
When the multi-meter clock synchronization system is used, relevant parameters are conveniently applied to actual regulation and control, more important application requirements are met, the voltage and current of each loop can be collected and calculated in real time, the clock synchronization characteristic is better, automatic synchronization of the multi-meter clock at the beginning and the end of each month can be realized, the risk of time difference during use is reduced, the problem of precision reduction caused by time accumulation errors is solved, and the product reliability is improved.
Drawings
Fig. 1 is a flowchart of a demand calculation method for different meters of the same household of an electric power charging system according to the present invention.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Examples
The embodiment provides a demand calculation method for different meters of the same household of an electric power charging system, which comprises the following steps:
s1: the intelligent demand ammeter with the built-in Internet of things communication function, the DTU communication module, the edge calculation server and the touch screen form a completed metering and early warning regulation and control system;
s2: firstly, the edge computing server in S1 issues a clock synchronization command to all the connected intelligent demand meters, and in addition, because the requirement of multi-meter demand metering on event synchronization is high, the edge computing server can calculate the clock synchronization command at 0: 00 automatically carrying out clock synchronization;
s3: the intelligent demand meter in the S2 and the edge calculation server realize clock synchronization;
s4: the intelligent demand ammeter in the S3 collects the voltage and current of each loop in real time, then calculates the collected voltage and current in real time, and when the collected electric quantity is in a load shedding state, the demand is a negative value;
s5: the intelligent demand meter in the S4 calculates the maximum demand and the occurrence time of each loop according to the collected current, and uploads the calculated maximum demand and the occurrence time of each loop to the edge calculation server through the DTU communication module;
s6: the edge calculation server in S5 calculates the arithmetic difference or the arithmetic sum of the maximum demand according to the received maximum demand of each loop and the occurrence time thereof, and in combination with the requirement set in advance, the edge calculation server calculates the arithmetic difference or the arithmetic sum of the maximum demand according to the occurrence time point thereof, and the specific algorithm for performing the vector difference or the vector sum is as follows:
when setting multi-meter demand overlay (take 1 day 0: 16 hour demand as an example):
the demand at that time: MDDay 1, 0: 16＝MD1Day 1, 0: 16+MD2Day 1, 0: 16+MDnDay 1, 0: 16
Maximum demand in the month: MD ═ MAX (MD)Day 1, 0: 01：MDAnd (5) in month of 24: 00)
When the summary/sub-chart demand difference is set (taking 1 day 0: 16 hourly demand as an example):
the demand at that time: MDDay 1, 0: 16Total of MDDay 1, 0: 16-MD1Day 1, 0: 16-MDnDay 1, 0: 16
Maximum demand in the month: MD ═ MAX (MD)Day 1, 0: 01：MDAnd (5) in month of 24: 00)；
S7: the method comprises the steps that the edge calculation server in S6 collects the demand of the intelligent demand electric meter, collects the real-time power of each electric meter every minute, substitutes and predicts whether the demand change caused by the power change of the next 2-14 minutes exceeds a set value or not through a demand algorithm, if the demand change exceeds the set value, the edge calculation server sends a signal to control the energy storage system to be changed from a standby power charging working condition to a power supply working condition, meanwhile, the edge calculation server gives the power of the power supply, and when the edge calculation server gives the power of the power supply, the edge calculation server also sends a signal to control the controllable load to unload or reduce the load.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A demand calculation method for different meters of the same household of an electric power charging system is characterized by comprising the following steps:
s1: an intelligent demand ammeter with a built-in internet of things communication function, a DTU communication module, an edge calculation server and a touch screen form a complete metering and early warning regulation and control system;
s2: firstly, the edge calculation server in S1 issues a clock synchronization instruction to all the intelligent demand meters which are successfully connected;
s3: the intelligent demand meter in the S2 and the edge calculation server realize clock synchronization;
s4: the intelligent demand meter in the S3 collects the voltage and current of each loop in real time, and then calculates the collected voltage and current in real time and stores the voltage and current in a local register;
s5: the intelligent demand meter in the S4 calculates the maximum demand and the occurrence time of each loop according to the collected voltage and current, and uploads the calculated maximum demand and the occurrence time of each loop to the edge calculation server through the DTU communication module;
s6: the edge calculation server in S5 calculates the vector difference or vector sum of the maximum demand according to the time point of the maximum demand and the occurrence time of each loop, and combines the requirements set in advance;
s7: the edge calculation server in the S6 collects the real-time power of each electric meter every minute while collecting the demand of the intelligent demand electric meter, substitutes the demand algorithm into the demand change predicted whether the demand change caused by the power change of the next 2-14 minutes exceeds the set value, if the prediction exceeds the set value, the edge calculation server sends a signal to control the energy storage system to change the standby power charging working condition into the power supply working condition, and meanwhile, the edge calculation server gives the power supply power.
2. The method for calculating the demand of the electricity billing system according to claim 1, wherein in S2, the edge calculation server calculates the average value of the sum of the average value of the average values: 00 automatically perform clock synchronization.
3. The method as claimed in claim 1, wherein in S4, when the collected power is in a reverse load state, the demand is a negative value.
4. The method as claimed in claim 1, wherein in S7, when the edge computing server provides the power of the power supply, the edge computing server further sends a signal to control the controllable load to unload or reduce the load.
5. The method for calculating the demand of the electric power billing system according to the user-owned different tables of claim 1, wherein in S4, the demand can be used as the demand device vector difference or vector sum, and meets the application scenario of the multi-table series or parallel relationship.
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