CN205595796U - Electric wire netting demand response control system - Google Patents
Electric wire netting demand response control system Download PDFInfo
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- CN205595796U CN205595796U CN201620347519.1U CN201620347519U CN205595796U CN 205595796 U CN205595796 U CN 205595796U CN 201620347519 U CN201620347519 U CN 201620347519U CN 205595796 U CN205595796 U CN 205595796U
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Abstract
The utility model discloses an electric wire netting demand response control system, it includes main website, a plurality of sub -station, a plurality of intelligent terminal and a plurality of intelligence load, main website, a plurality of sub -station, a plurality of intelligent terminal wired connection, intelligent terminal passes through wireless connection with a plurality of intelligence loads, intelligent terminal data collection sends for the sub -station, sub -station data transmission gives the main website, main website statistics this area load total amount and controllable load total amount, detection line state and transformer load are rateed, when the response of electric wire netting demand or transformer, when the circuit transships, the calculation load of the main website volume of reduceeing is reduce task assignment with the load and is given each sub -station, the intelligent terminal that task assignment gave each resident is reduce according to resident controllable load volume with the load in the sub -station, intelligent terminal is according to resident's power consumption comfort level, the intelligent power consumption priority of loading of dynamic allocation, assurance resident's power consumption comfort level in the time of the response of realization demand.
Description
Technical field
This utility model relates to a kind of grid control system, specifically one electrical network demand response control system,
Belong to the communication system of power grids and demand response technical field.
Background technology
For meeting electricity consumption needs, power department plans the construction of power supply according to the loading of prediction in early days, from
And realize the balance of generating and electricity consumption.Although this method can ensure that the need for electricity of electrical network peak period,
But in off-peak period, some generating capacity are in idle state.Along with being on the increase of load, increase,
Change the investment huge amount of the equipment such as transformator, the problem such as simultaneous energy scarcity, some west states
Family meets need for electricity by increase system installed capacity the most simply, expands by cutting down Demand-side
Load alleviates the theoretical research of electrical network Voltage force and actual application, and demand response technology is born therewith.
The difference of response policy according to demand, can be classified as two big classes: price type and incentive mechanism type.?
Peak times of power consumption, the demand response type played a decisive role includes urgent need response, interruptible load, straight
Connecing spatial load forecasting and capability response four kinds, these four broadly falls into stimulable type demand response.At present, stimulable type needs
Asking the research of response mainly for large-scale power user, the research for ordinarily resident user is the most less.Cause
This, it is necessary to for residential electricity consumption, launch the research in terms of related needs response control.
Utility model content
The purpose of this utility model is to provide a kind of electrical network demand response control system, and this system can be adopted automatically
Collection current loads total amount and controllable burden total amount, according to demand response target and intelligence spatial load forecasting algorithm, meter
Calculate load reduction and realize exact load control.
In order to reach above-mentioned technical purpose, the technical solution of the utility model is:
A kind of electrical network demand response control system, it include main website, some substations (community power control center),
Some intelligent terminal and some intelligence loads, described main website and some substations wired connection, if substation with
Dry intelligent terminal's wired connection, an intelligent terminal passes through wireless connections with some intelligence loads；Described intelligence
Terminal gathers indoor load total electricity consumption and controllable burden amount, sends the data to connected substation；Son
Stand and add up community internal loading total amount and controllable burden amount, send the data to main website；Statistics this area of main website bears
Lotus total amount and controllable burden total amount, detection line status and transformer load rate；When electrical network demand response or change
When depressor, circuit overload, main website calculated load reduction, the load task of cutting down is distributed to each substation；
The load task of cutting down, according to resident's controllable burden amount, is distributed to the intelligent terminal of each resident by substation；
Intelligent terminal is according to the electricity consumption comfort level of resident, the electricity consumption priority of dynamically distribution intelligence load, it is achieved demand
The electricity consumption comfort level of resident is ensured while response.
Described wired connection is that wired ethernet connects.
Described wireless connections are WIFI or bluetooth connects.
The beneficial effect of technical solutions of the utility model:
1. the realization of this utility model technical purpose is annexation based on native system hardware, native system hardware
Connection realize Distributed Calculation, use Distributed Calculation, by substantial amounts of distribution of computation tasks to substation and intelligence
Terminal can complete, solve mass data and calculate time length, the problem of poor real, improve system effectiveness,
Accelerate instruction execution speed, it is achieved the accurate quick control of load.Special declaration, and this utility model system
The computer software part related to is that conventional means is designed, and computer software part is not " to prior art
Improvement ".
2. when circuit or transformer overload, system can issue demand response order automatically, and automatic sharpening is lightened the burden
Lotus, decreases the investment of the equipment such as transformator, circuit.
3. system is according to the dynamic priority of the electricity consumption comfort level distribution load of user, is meeting demand response merit
Rate ensure that the electricity consumption comfort level of user to greatest extent on the basis of limiting.
4. improve ordinarily resident user and participate in enthusiasm and the initiative of demand response.
Accompanying drawing explanation
Fig. 1 is system construction drawing of the present utility model.
Fig. 2 is functional block diagram of the present utility model.
Fig. 3 is control algolithm flow chart of the present utility model.
Detailed description of the invention
With detailed description of the invention, this utility model is described in further detail below in conjunction with the accompanying drawings.
As it is shown in figure 1, electrical network demand response control system is made up of four parts: main website of control centre is (the most main
Stand), substation (community power control center), intelligent terminal and intelligence load.Main website, substation and intelligence are eventually
End is connected by wired ethernet, and intelligent terminal is connected by WIFI with intelligence load.
Intelligent terminal gathers indoor load total electricity consumption and controllable burden amount, transmits data to substation；
Data are transmitted to main website by statistics community, substation internal loading total amount and controllable burden amount.Main website statistics should
Regional load total amount and controllable burden total amount, detection line status and transformer load rate, when electrical network demand is rung
Should or when transformator, circuit overload, main website calculated load reduction, the load task of cutting down is distributed to each
Community；Power-management centre, community is according to resident's controllable burden amount, and a load is cut down task and distributed to each residence
The intelligent terminal at civilian family；Intelligent terminal is according to the electricity consumption comfort level of resident, the use of dynamically distribution intelligence load
Electricity priority, it is achieved ensure the electricity consumption comfort level of resident while demand response.
The functional module of electrical network demand response control system divide as in figure 2 it is shown, system can be divided into communication module,
Load control module, parameter setting module, data analysis module, display module and off-limit alarm module.Logical
Letter module is responsible for the communication between system each device interior, transmits including data and message receives and resolves；Negative
Lotus control module is responsible for planning load electricity consumption order, and generates control command control load；Parameter setting module
For initialization system parameter such as transformer capacity, capacity of trunk, load type etc.；Data analysis module is responsible for
Calculated load reduction and demand response time；Display module is used for display system parameter, track data, change
Depressor data, load data etc.；Off-limit alarm module is the most out-of-limit for the power monitoring circuit and transformator.
Communication module and its computer software design are prior art, such as patent publication No.
Communication means disclosed in the patent documentations such as CN104079535A, Authorization Notice No. CN101777792B.
Load control module and its computer software design are prior art, such as patent publication No.
Duty control method disclosed in the patent documentations such as CN104850026A.
Parameter setting module and its computer software design are prior art, such as patent publication No.
Parameter setting method disclosed in the patent documentations such as CN104639531A.
Data analysis module and its computer software design are prior art, such as Authorization Notice No.
Electric network data disclosed in the patent documentations such as CN104933501B analyzes method.
Display module and its computer software design are prior art, such as patent publication No.
Display control method disclosed in the patent documentations such as CN105005466A.
Off-limit alarm module and its computer software design are prior art, such as Authorization Notice No.
Grid alarm auto response system disclosed in the patent documentations such as CN103268353B and the grid alarm side of automated toing respond to
Method.
During system work, communication module reads load total amount, controllable burden amount, line load rate, transformator
The data such as load factor, demand response order, communication module is sent to data processing module by after packet parsing；
Data processing module obtains data from communication module, parameter setting module and off-limit alarm module, calculates
To load reduction and related data is sent to load control module；Load control module is cut down according to load
Amount and controllable burden amount, be allocated the load task of cutting down, and generates control command, sends through communication module
To load.
The control algolithm flow chart of system distribution intelligence load electricity consumption order as shown in Figure 3 (for prior art,
The intelligence of a kind of Novel household energy management system as disclosed in Authorization Notice No. CN103676846B patent documentation
Control algolithm), P1For current household electrical appliances general power, P2Power is limited for demand response.The control target of this algorithm
It is during demand response, on the basis of ensureing users'comfort, according to the dynamic priority K of each household electrical appliances
Carry out the electricity consumption decision-making of household electrical appliances, meet demand response electricity consumption to greatest extent and limit.Demand response is first after starting
First read demand response Power Limitation statistical computation indoor intelligence load general power, if P1＜ P2Then explanation is not required to
Household electrical appliances electricity consumption to be optimized, can wait that the state next time that enters updates.If P1＞ P2Then explanation needs to optimize household electrical appliances
Electricity consumption, controls some load power-off.Intelligent terminal calculates the ride number of each household electrical appliances and is ranked up,
Draw the dynamic priority of each household electrical appliances.Intelligent terminal controls household electrical appliances the most successively according to dynamic priority
Power-off, maybe cannot continue to optimize until meeting demand response Power Limitation.
Such as, at residential electricity consumption peak period 11:00 to 14:00 in summer, a large amount of air-conditioning is had to open, After Hours
17:30 to 22:00, resident's controllable burden is mainly air-conditioning, water heater, charger etc., and the two period occupies
Civilian electricity is more concentrated, in fact it could happen that circuit or transformer overload.For alleviation Voltage force, main website sends to be needed
Seek response signal, limit the electric power of each community (substation).Substation receives the demand sound that main website sends
Loading the most controlled in statistical computation community after should ordering, distributes to each resident by the load task of cutting down
User.After the Power Limitation that intelligent terminal for reception is sent to substation, moved by spatial load forecasting algorithm calculated load
State priority, controls the electricity consumption order of household electrical appliances, if user is not intended to certain household electrical appliances power-off, then and can be excellent by it
First level is manually set to minimum.
Above-described embodiment limits this utility model, every employing equivalent or equivalent transformation never in any form
The technical scheme that obtains of mode all fall within protection domain of the present utility model.
Claims (3)
1. an electrical network demand response control system, it is characterised in that include main website, some substations, Ruo Ganzhi
Can terminal and some intelligence loads, described main website and some substations wired connection, a substation and some intelligence
Terminal wired connection, an intelligent terminal passes through wireless connections with some intelligence loads；Described intelligent terminal adopts
Collect indoor load total electricity consumption and controllable burden amount, send the data to connected substation；Substation is added up
Community internal loading total amount and controllable burden amount, send the data to main website；Main website statistics this area load total amount
With controllable burden total amount, detection line status and transformer load rate；When electrical network demand response or transformator,
During circuit overload, main website calculated load reduction, the load task of cutting down is distributed to each substation；Substation root
According to resident's controllable burden amount, the load task of cutting down is distributed to the intelligent terminal of each resident；Intelligence is eventually
Hold the electricity consumption comfort level according to resident, the electricity consumption priority of dynamically distribution intelligence load.
A kind of electrical network demand response control system the most according to claim 1, it is characterised in that: described
Wired connection is that wired ethernet connects.
A kind of electrical network demand response control system the most according to claim 1, it is characterised in that: described
Wireless connections are WIFI or bluetooth connects.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620347519.1U CN205595796U (en) | 2016-04-22 | 2016-04-22 | Electric wire netting demand response control system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620347519.1U CN205595796U (en) | 2016-04-22 | 2016-04-22 | Electric wire netting demand response control system |
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| CN205595796U true CN205595796U (en) | 2016-09-21 |
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| CN201620347519.1U Expired - Fee Related CN205595796U (en) | 2016-04-22 | 2016-04-22 | Electric wire netting demand response control system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108110766A (en) * | 2018-01-23 | 2018-06-01 | 华翔翔能电气股份有限公司 | A kind of transformer load management method and device towards wisdom garden |
| CN110165713A (en) * | 2019-04-30 | 2019-08-23 | 南京谷峰智能技术有限公司 | A kind of garden demand response method of providing multiple forms of energy to complement each other based on peaking demand of power grid |
-
2016
- 2016-04-22 CN CN201620347519.1U patent/CN205595796U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108110766A (en) * | 2018-01-23 | 2018-06-01 | 华翔翔能电气股份有限公司 | A kind of transformer load management method and device towards wisdom garden |
| CN108110766B (en) * | 2018-01-23 | 2019-01-11 | 华翔翔能电气股份有限公司 | A kind of transformer load management method and device towards wisdom garden |
| CN110165713A (en) * | 2019-04-30 | 2019-08-23 | 南京谷峰智能技术有限公司 | A kind of garden demand response method of providing multiple forms of energy to complement each other based on peaking demand of power grid |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160921 Termination date: 20200422 |