CN107423915A - Family electricity consumption heating load adjustability appraisal procedure based on numerical weather forecast - Google Patents
Family electricity consumption heating load adjustability appraisal procedure based on numerical weather forecast Download PDFInfo
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Abstract
The present invention is a kind of appraisal procedure of the family electricity consumption heating load adjustability based on numerical weather forecast, is characterized in, first defines three quantizating index of sign load adjustability and includes enforceable regulation power Pcontrol, maintain given regulation power being capable of duration tcontrol, and the electricity W that the progress power adjusting period can regulate and controlcontrol.Pass through the hot dynamic model of family electric heating, and introduce the temperature parameter of a certain period numerical weather forecast, the load adjustability of family electric heating of the period under the temperature range for meeting human comfort is evaluated, important reference is provided to realize that electric heating user participates in network load regulation.With the advantages that scientific and reasonable, strong applicability, effect is good.
Description
Technical field
The present invention relates to the field of Load Regulation ability, and in particular to a kind of family electric heating based on numerical weather forecast
Load adjustability appraisal procedure.
Background technology
Family electric heating scale application is gradually promoted in conditional area, promotes the low-carbon of electric energy supply, together
When, due to heating building wall thermal inertia (accumulation of heat and heat conduction) and the thermal inertia (hysteresis quality of temperature change) of interior environment, full
Under sufficient Thermal comfort requirement, architecture indoor temperature adjusting range causes the change that building energizes, and has available energy demand bullet
Property.In the family electricity consumption heating load scale of construction and considerable scale, power network is lifted with the elasticity of energy demand using " electric heating " load
Regulating power is well worth doing.Family is to realize its participation with the load adjustability of electric heating effectively in the acquisition following a certain period
The important prerequisite of power network regulation.In this context, the present invention proposes a kind of family based on numerical weather forecast and born with electric heating
The appraisal procedure of lotus adjustability.
The content of the invention
The object of the present invention is to propose a kind of scientific and reasonable, strong applicability, the good family based on numerical weather forecast of effect
The appraisal procedure of electricity consumption heating load adjustability.
Realize that the technical scheme that the object of the invention uses is that a kind of family electricity consumption heating load based on numerical weather forecast can
The appraisal procedure of regulating power, it is characterized in that, definition first characterizes the index of load adjustability, passes through electric heating heat dynamic
Model, the temperature parameter of a certain period numerical weather forecast is introduced, evaluates the family under the temperature range for meeting human comfort
With the load adjustability of electric heating, herein below is specifically included：
1) load adjustability index and its definition
PcontrolFor the regulation power implemented, tcontrolTo maintain regulation performance number PcontrolCan duration,
WcontrolTo carry out the electricity that the power adjusting period can regulate and control；
2) family electric heating Transient Thermal equilibrium relation model
Electric heating Transient Thermal equilibrium relation mathematical modeling is expressed as formula (1)
In formula (1)：PheatFor heating power, V is spatial volume in building, and S building appearance areas, K is building
Outer surface integrates thermal conductivity factor, CairFor air specific heat capacity, ρairFor atmospheric density,For indoor temperature change generated in case rate, TinFor room
Interior temperature, ToutFor outdoor temperature；
3) Load Regulation assessment is carried out
(1) the building appearance area S of user is given, spatial volume V, external surface of buildings synthesis heat conduction system in building
Number K, air specific heat capacity Cair, the maximum heating power P that is configured with electric heating of atmospheric density ρ and familysn, determine that indoor temperature adjusts
Scope is [Tdown, Tup]；
(2) take and determine indoor temperature TinTo carry out initial temperature T during Load Regulation capability evaluation0, choose outdoor temperature Tout
For the temperature T of period corresponding to numerical weather forecastk；
(3) data acquired in (1) and (2) of step 3) are substituted into family electric heating Transient Thermal equilibrium relation modular form
(1) it is 0, to make indoor temperature change generated in case rate, determines to maintain the performance number P of current indoor temperature0；
(4) the enforceable regulation power P of family electric heating is evaluatedcontrolScope, power be adjusted up scope for [0,
Psn-P0], the downward adjustable range of power is [- P0, 0]；
(5) evaluating the given regulation power of maintenance being capable of duration tcontrol, (4) according to step 3) are determined
Specific regulation and control power Pcontrol, simulation calculation is carried out by the hot dynamic model of electric heating, if Pcontrol>0, correspond in temperature
The process of liter, as indoor temperature TinRise to TupWhen end, if Pcontrol<0, correspond to temperature and decline process, as indoor temperature Tin
Drop to TdownWhen end, and then temperature can persistently maintain time in thermal comfort section and be when obtaining carrying out power adjusting
tcontrol；
(6) evaluate and carry out the electricity W that can regulate and control of power adjusting periodcontrol, (4) according to step 3) are determined
Specific regulation and control power PcontrolAnd the time t obtained by (5) of step 3)control, by energy meter formula (2),
Draw the regulation and control electricity W for carrying out being realized in power adjustment procedurecontrol。
The appraisal procedure of the family electricity consumption heating load adjustability based on numerical weather forecast of the present invention, is defined first
The index of load adjustability is characterized, by the hot dynamic model of electric heating, introduces the temperature of a certain period numerical weather forecast
Parameter, the load adjustability of the family electric heating under the temperature range for meeting human comfort is evaluated, there is science to close
Reason, strong applicability, the advantages that effect is good.
Brief description of the drawings
Fig. 1 is the family electricity consumption heating load adjustability appraisal procedure flow chart based on numerical weather forecast；
Fig. 2 is that power regulation process chamber temperature changes over time tendency chart；
Fig. 3 regulates and controls electricity figure to carry out power adjusting sustained periods of time；
Fig. 4 is that the lower indoor temperature of different capacity regulation and control changes over time tendency chart.
Embodiment
The family electricity consumption heating load adjustability based on numerical weather forecast of the present invention is commented below in conjunction with accompanying drawing
The embodiment for estimating method is described in further detail.
Reference picture 1, a kind of assessment of family electricity consumption heating load adjustability based on numerical weather forecast of the invention
Method, first definition characterize the index of load adjustability, by the hot dynamic model of electric heating, introduce a certain period numerical value day
The temperature parameter of gas forecast, evaluate the load adjustable energy saving of the family electric heating under the temperature range for meeting human comfort
Power, specifically include herein below：
1) load adjustability index and its definition
PcontrolFor the regulation power implemented, tcontrolTo maintain regulation performance number PcontrolCan duration,
WcontrolTo carry out the electricity that the power adjusting period can regulate and control；
2) family electric heating Transient Thermal equilibrium relation model
Electric heating Transient Thermal equilibrium relation mathematical modeling is expressed as formula (1)
In formula (1)：PheatFor heating power, V is spatial volume in building, and S building appearance areas, K is building
Outer surface integrates thermal conductivity factor, CairFor air specific heat capacity, ρairFor atmospheric density,For indoor temperature change generated in case rate, TinFor room
Interior temperature, ToutFor outdoor temperature；
3) Load Regulation capability evaluation is carried out
(1) the building appearance area S of user is given, spatial volume V, external surface of buildings synthesis heat conduction system in building
Number K, air specific heat capacity Cair, the maximum heating power P that is configured with electric heating of atmospheric density ρ and familysn, determine that indoor temperature adjusts
Scope is [Tdown, Tup]；
(2) take and determine indoor temperature TinTo carry out initial temperature T during Load Regulation capability evaluation0, choose outdoor temperature Tout
For the temperature T of period corresponding to numerical weather forecastk；
(3) data acquired in (1) and (2) of step 3) are substituted into family electric heating Transient Thermal equilibrium relation modular form
(1) it is 0, to make indoor temperature change generated in case rate, determines to maintain the performance number P of current indoor temperature0；
(4) the enforceable regulation power P of family electric heating is evaluatedcontrolScope, power be adjusted up scope for [0,
Psn-P0], the downward adjustable range of power is [- P0, 0]；
(5) evaluating the given regulation power of maintenance being capable of duration tcontrol, reference picture 2, according to step 3)
(4) power P is specifically regulated and controled determined bycontrol, simulation calculation is carried out by the hot dynamic model of electric heating, if Pcontrol>0, it is corresponding
For temperature ramp de, as indoor temperature TinRise to TupWhen end, if Pcontrol<0, correspond to temperature and decline process, work as room
Interior temperature TinDrop to TdownWhen end, and then obtain carry out power adjusting when temperature can persistently maintain thermal comfort section
Time is tcontrol；
(6) evaluate and carry out the electricity W that can regulate and control of power adjusting periodcontrol, reference picture 3, according to step 3)
(4) power P is specifically regulated and controled determined bycontrolAnd the time t obtained by (5) of step 3)control, pass through energy meter formula
(2),
Draw the regulation and control electricity W for carrying out being realized in power adjustment procedurecontrol。
Embodiment：
With the maximum heating power P of certain configurationsnFor 7.2kW (equivalent 60W/m2) 120m2Electricity is carried out exemplified by domestic consumer
Heating load regulating power assesses example.
(1) involved building parameter such as table 1 in, it is contemplated that human thermal comfort temperature range is 18-22 DEG C, this calculation
Indoor temperature adjusting range [T in exampledown, Tup] take fixed [18 DEG C, 22 DEG C].
(2) fixed initial temperature T is taken in0=20 DEG C, selected outdoor temperature ToutDuring for corresponding to numerical weather forecast
The temperature T of sectionk=-15 DEG C.
(3) relevant parameter is substituted into electric heating Transient Thermal equilibrium relation model, makes indoor temperature change generated in case rateIt is determined that
Go out to maintain the performance number P of current indoor temperature0=4.1kW.
(4) the enforceable regulation power P of family electric heating is determinedcontrolScope, power be adjusted up scope for [0,
3.1kW], the downward adjustable range of power is [- 4.1kW, 0]；
(5) and (6), surely specific P is taken respectivelycontrolValue ± 10%Psn, ± 20%Psn, ± 30%PsnEmulated, obtained
To the lower indoor temperature of different capacity regulation and control to change over time trend as shown in Figure 4.According to temperature adjusting direction, by corresponding work(
Rate divides into positive regulation and negative regulation, the wherein specific P of positive regulationcontrolAnd corresponding tcontrol, WcontrolOutput
2 are the results are shown in Table, negative regulation the results are shown in Table 3.
The building parameter list of table 1
The electric heating load forward direction regulating power statistical form of table 2
The electric heating load negative regulation ability statistical form of table 3
According to given assessment example, the maximum that electric heating is upward, adjusts downwards is can be seen that from Fig. 4, table 2, table 3
Long power is 43%, the 57% of maximum rated power；When taking fixed regulation power maximum, lasting adjustable time at least may be used
Continue 3min, if in the case that regulation and control power is relatively small, duration is longer；The comparable situation compared with carrying out power adjusting
Under, regulatable electricity can reach 18% in a short time.It can be seen that extensive family participates in the load of power network with the load of electric heating
Regulation, it has a high potential.
Above example also illustrate that the family electricity consumption heating load adjustability of the present invention based on numerical weather forecast
The feasibility and validity of appraisal procedure.
Claims (1)
1. a kind of appraisal procedure of the family electricity consumption heating load adjustability based on numerical weather forecast, it is characterized in that, first
Definition characterizes the index of load adjustability, by the hot dynamic model of electric heating, introduces a certain period numerical weather forecast
Temperature parameter, the load adjustability of the family electric heating under the temperature range for meeting human comfort is evaluated, specific bag
Include herein below：
1) load adjustability index and its definition
PcontrolFor the regulation power implemented, tcontrolTo maintain regulation performance number PcontrolCan duration,
WcontrolTo carry out the electricity that the power adjusting period can regulate and control；
2) family electric heating Transient Thermal equilibrium relation model
Electric heating Transient Thermal equilibrium relation mathematical modeling is expressed as formula (1)
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In formula (1)：PheatFor heating power, V is spatial volume in building, and S building appearance areas, K is external surface of buildings
Comprehensive thermal conductivity factor, CairFor air specific heat capacity, ρairFor atmospheric density,For indoor temperature change generated in case rate, TinFor indoor temperature,
ToutFor outdoor temperature；
3) Load Regulation capability evaluation is carried out
(1) give the building appearance area S of user, spatial volume V in building, external surface of buildings synthesis thermal conductivity factor K,
Air specific heat capacity Cair, the maximum heating power P that is configured with electric heating of atmospheric density ρ and familysn, determine indoor temperature adjusting range
For [Tdown, Tup]；
(2) take and determine indoor temperature TinTo carry out initial temperature T during Load Regulation capability evaluation0, choose outdoor temperature ToutFor number
It is worth the temperature T of period corresponding to weather forecastk；
(3) data acquired in (1) and (2) of step 3) are substituted into family electric heating Transient Thermal equilibrium relation modular form (1), order
Indoor temperature change generated in case rate is 0, determines to maintain the performance number P of current indoor temperature0；
(4) the enforceable regulation power P of family electric heating is evaluatedcontrolScope, power are adjusted up scope as [0, Psn-P0],
The downward adjustable range of power is [- P0, 0]；
(5) evaluating the given regulation power of maintenance being capable of duration tcontrol, have according to determined by (4) of step 3)
Body regulates and controls power Pcontrol, simulation calculation is carried out by the hot dynamic model of electric heating, if Pcontrol>0, correspond to temperature and rose
Journey, as indoor temperature TinRise to TupWhen end, if Pcontrol<0, correspond to temperature and decline process, as indoor temperature TinDecline
To TdownWhen end, and then temperature can persistently maintain time in thermal comfort section and be when obtaining carrying out power adjusting
tcontrol；
(6) evaluate and carry out the electricity W that can regulate and control of power adjusting periodcontrol, have according to determined by (4) of step 3)
Body regulates and controls power PcontrolAnd the time t obtained by (5) of step 3)control, by energy meter formula (2),
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Draw the regulation and control electricity W for carrying out being realized in power adjustment procedurecontrol。
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109284576A (en) * | 2018-10-29 | 2019-01-29 | 东北电力大学 | A kind of distributing electric heating load scheduling method and its modeling based on measured data |
| CN109523134A (en) * | 2018-10-29 | 2019-03-26 | 东北电力大学 | A kind of distributing electric heating load time-shift capability quantitative evaluating method and its modeling based on measured data |
| CN109583696A (en) * | 2018-10-29 | 2019-04-05 | 东北电力大学 | Single electric heating equipment regulating power appraisal procedure based on RBF neural |
| CN110094845A (en) * | 2019-05-24 | 2019-08-06 | 广东电网有限责任公司 | A kind of force control method, device and the equipment out of room temperature adjustment equipment |
| CN112054505A (en) * | 2020-07-30 | 2020-12-08 | 上海理工大学 | Building power demand elasticity rapid quantification method based on building basic information |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104896660A (en) * | 2015-05-20 | 2015-09-09 | 中南大学 | Method for optimized setting of air conditioner temperature in office building |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN105761022A (en) * | 2016-03-14 | 2016-07-13 | 东南大学 | Direct load control scheme assessment and selection method |
| CN106524353A (en) * | 2016-11-25 | 2017-03-22 | 国网河南省电力公司电力科学研究院 | Method for air-conditioner load actively controlling and participating in peak regulation of electric power |
-
2017
- 2017-08-07 CN CN201710664114.XA patent/CN107423915B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104896660A (en) * | 2015-05-20 | 2015-09-09 | 中南大学 | Method for optimized setting of air conditioner temperature in office building |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN105761022A (en) * | 2016-03-14 | 2016-07-13 | 东南大学 | Direct load control scheme assessment and selection method |
| CN106524353A (en) * | 2016-11-25 | 2017-03-22 | 国网河南省电力公司电力科学研究院 | Method for air-conditioner load actively controlling and participating in peak regulation of electric power |
Non-Patent Citations (3)
| Title |
|---|
| MOLINA A ETC: "Implementation and assessment of physically based electrical load models: application to direct load control residential programmes", 《IEE PROCEEDINGS-GENERATION,TRANSMISSION AND DISTRIBUTION》 * |
| NING LU ETC: "An evaluation of the HVAC load potential for providing load balancing service", 《IEEE TRANSACTIONS ON SMART GRID》 * |
| 崔永军 等: "新能源电采暖电力负荷建模", 《电器与能效管理技术》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109284576A (en) * | 2018-10-29 | 2019-01-29 | 东北电力大学 | A kind of distributing electric heating load scheduling method and its modeling based on measured data |
| CN109523134A (en) * | 2018-10-29 | 2019-03-26 | 东北电力大学 | A kind of distributing electric heating load time-shift capability quantitative evaluating method and its modeling based on measured data |
| CN109583696A (en) * | 2018-10-29 | 2019-04-05 | 东北电力大学 | Single electric heating equipment regulating power appraisal procedure based on RBF neural |
| CN109583696B (en) * | 2018-10-29 | 2021-10-26 | 东北电力大学 | RBF neural network-based method for evaluating regulating capacity of single electric heating device |
| CN109284576B (en) * | 2018-10-29 | 2023-04-21 | 东北电力大学 | Distributed electric heating load scheduling method based on measured data and modeling system thereof |
| CN109523134B (en) * | 2018-10-29 | 2023-04-21 | 东北电力大学 | Quantitative assessment method for time shifting capability of distributed electric heating load based on measured data and modeling system thereof |
| CN110094845A (en) * | 2019-05-24 | 2019-08-06 | 广东电网有限责任公司 | A kind of force control method, device and the equipment out of room temperature adjustment equipment |
| CN110094845B (en) * | 2019-05-24 | 2021-04-23 | 广东电网有限责任公司 | Output control method, device and equipment of indoor temperature adjusting equipment |
| CN112054505A (en) * | 2020-07-30 | 2020-12-08 | 上海理工大学 | Building power demand elasticity rapid quantification method based on building basic information |
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| CN107423915B (en) | 2020-09-08 |
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