CN105444343A - Air conditioner load priority interruption method based on electricity utilization comfort level - Google Patents

Air conditioner load priority interruption method based on electricity utilization comfort level Download PDF

Info

Publication number
CN105444343A
CN105444343A CN201510641078.6A CN201510641078A CN105444343A CN 105444343 A CN105444343 A CN 105444343A CN 201510641078 A CN201510641078 A CN 201510641078A CN 105444343 A CN105444343 A CN 105444343A
Authority
CN
China
Prior art keywords
air
conditioning
period
air conditioner
comfort level
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.)
Granted
Application number
CN201510641078.6A
Other languages
Chinese (zh)
Other versions
CN105444343B (en
Inventor
颜庆国
杨斌
陈楚
肖文举
薛璐
鲜景润
胡佳琪
阮文俊
张昊纬
肖宇华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Huiheshi Technology Co Ltd
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nanjing Power Supply Co of Jiangsu Electric Power Co
Original Assignee
Beijing Huiheshi Technology Co Ltd
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Nanjing Power Supply Co of Jiangsu Electric Power Co
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Huiheshi Technology Co Ltd, State Grid Corp of China SGCC, State Grid Jiangsu Electric Power Co Ltd, Nanjing Power Supply Co of Jiangsu Electric Power Co filed Critical Beijing Huiheshi Technology Co Ltd
Priority to CN201510641078.6A priority Critical patent/CN105444343B/en
Publication of CN105444343A publication Critical patent/CN105444343A/en
Application granted granted Critical
Publication of CN105444343B publication Critical patent/CN105444343B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to an air conditioner load priority interruption method based on the electricity utilization comfort level. The air conditioner load priority interruption method comprises the following steps that (1) an air conditioner response time interval and control time interval length are determined, air conditioner load peak clipping total amount in the response time interval is determined, and on-off states of all air conditioners and indoor temperature data in a control time interval are collected; (2) temperature set values and floating ranges of all the air conditioners are determined; (3) electricity utilization comfort level indexes of air conditioner load and corresponding air conditioner load control models are established; (4) the air conditioner electricity utilization comfort level indexes and corresponding air conditioner load states are worked out according to the actual data; and (5) all the comfort level indexes are ranked by magnitude, and a final air conditioner interruption scheme is determined with combination of the air conditioner load peak clipping total amount. The air conditioner load priority interruption method based on calculation of the electricity utilization comfort level indexes has feasibility and effectiveness; concrete reference schemes are provided for air conditioner load participating peak clipping during application; the optimization effect of the electricity utilization comfort level is ensured to the greatest extent while the requirement for power grid peak clipping is met.

Description

A kind of air conditioner load Priority interrupt method based on electricity consumption comfort level
Technical field
The present invention relates to network load control technique field, particularly a kind of air conditioner load Priority interrupt method based on electricity consumption comfort level.
Background technology
The sharp increase of air conditioner load is the major reason of grid load curve deterioration in summer and power shortages, brings great challenge to power grid security production and economical operation.Air conditioner load regulation and control, because of features such as its regulation and control cost are low, regulating effect remarkable, efficiency room for promotion is large, will progressively develop into the important means of peak load regulation network.Transfer air conditioner load and participate in electrical network peak clipping, realize peak period workload demand and reduce, effectively can alleviate the contradiction of power supply and demand, improve system reliability, slow down the investment pressure of electrical network facilities, improve energy utilization rate, reduce the consumption of primary energy.
The method that the correlative study that current and air conditioner load participates in demand response participates in load optimal from air conditioner load is mostly started with, carry out closedown air-conditioner host, adjustment set temperature, adjusting water outlet temperature etc., does not analyze from concrete effect of optimization with after optimizing the impact of user.Therefore, the specific embodiments that a kind of air conditioner load taking into account peak clipping requirement and users'comfort participates in electrical network peak clipping is studied significant.
Summary of the invention
The technical problem to be solved in the present invention is: the effect optimizing air conditioner load regulation and control, and while air conditioner load regulation and control meet electrical network peak clipping requirement, takes into account the electricity consumption comfort level of air conditioner user.
The technical scheme that the present invention takes is specially: a kind of air conditioner load Priority interrupt method based on electricity consumption comfort level, comprises the following steps:
(1) determine air-conditioning response period and control time length, determine to respond the air conditioner load peak clipping total amount in the period, each air-conditioning collected in control time cut-offs state and indoor temperature data:
1.1 determine air-conditioning response time started t onwith response end time t off;
1.2 determine control time length Δ t minute, then total within the response period the individual period;
1.3 determine the air-conditioning quantity I participating in response, and definition i is air-conditioning numbering;
1.4 collect each air-conditioning response start time cut-offs state and indoor temperature data: defining i-th air-conditioning responding the air-conditioning state of cut-offfing when starting is S i, 0, indoor temperature is T i, 0, the outdoor temperature of the n-th period is
1.5 determine the air conditioner load ideal peak clipping amount P responding the n-th period in the period aim, n;
(2) each air-conditioner temperature setting value and domain of walker is determined:
2.1 determine each air-conditioner temperature setting value T i, set;
2.2 determine each air-conditioner temperature domain of walker Δ T i, set;
(3) the electricity consumption comfort level index of air conditioner load and the air conditioner load Controlling model of correspondence is set up:
The 3.1 electricity consumption comfort level index K setting up air conditioner load i,n:
K i , n = | T i , n - T i , s e t | ΔT i , s e t - - - ( 1 )
Wherein: K i,nthe comfort level index of i-th air-conditioning in the n-th period; T i,nthe indoor temperature of i-th air-conditioning in the n-th period; T i, setit is the air-conditioner temperature setting value of i-th air-conditioning; Δ T i, setbe the air-conditioner temperature domain of walker of i-th air-conditioning, namely indoor temperature allowed band is T i, set~ T i, set+ Δ T i, set;
3.2 set up corresponding air conditioner load Controlling model:
Assuming that air-conditioning work is in refrigeration mode, running state of air conditioner sets relevant with room temperature: when room temperature is higher than peak, air-conditioning is energized; During lower than minimum, make air-conditioning power-off; When being in setting range, air-conditioning keeps original state, then Controlling model is as follows:
S i , n = 0 T i . n &le; T i , s e t 1 T i . n &GreaterEqual; T i , s e t + &Delta;T i , s e t S i , n - 1 T i , s e t < T i . n < T i , s e t + &Delta;T i , s e t - - - ( 2 )
Wherein: S i,nthat the air-conditioning of i-th air-conditioning within the n-th period cut-offs state, S i, n-1that the air-conditioning of i-th air-conditioning within the (n-1)th period cut-offs state;
The pass that indoor temperature change generated in case changes with air-conditioning state is:
T i , n + 1 = T n + 1 o u t - &mu;P i S i , n + 1 / A - ( T n + 1 o u t - &eta;P i S i , n + 1 / A i , n - T i , n ) &epsiv; - - - ( 3 )
Wherein: T i.n+1the indoor temperature of i-th air-conditioning in the (n+1)th period; the outdoor temperature of i-th air-conditioning in the (n+1)th period; for the power of t air-conditioning; S i, n+1cut-offfing state for air-conditioning, be 1 shutoff is 0 during unlatching; P ispecified refrigeration consumed power when being i-th air-conditioning unlatching, P is i, n+1the actual power of i-th air-conditioning in the (n+1)th period; η is air-conditioning Energy Efficiency Ratio; A is thermal conductivity factor, unit be 1/ (kW DEG C-1); ε is heat radiation function, Δ t is control time interval, T cfor time constant;
(4) the electricity consumption comfort level index of air-conditioning and the air conditioner load state of correspondence is calculated according to real data:
Actually state S is cut-off according to each air-conditioning response start time i, 1and indoor temperature T i, 1, calculate the electricity consumption comfort level index K of i-th air-conditioning within N number of period i, 1..., K i,N, air-conditioning cut-offs state S i, 1..., S i,N, indoor temperature T i, 1..., T i,N;
Can obtain the initial interrupt scheme of the n-th period thus: namely in the n-th period, the cut-off state of I platform air-conditioning under spatial load forecasting is:
S n 0 = ( S 1 , n , ... S i , n , ... S I , n ) T - - - ( 4 )
(5) each comfort level index is sorted by size, determines the interrupt scheme of final air-conditioning in conjunction with air conditioner load peak clipping total amount:
5.1 calculate the n-th period initial interrupt scheme corresponding peak clipping amount judge whether to meet if do not meet, perform step 5.2, if meet, perform step 5.5;
In 5.2 n-th periods of screening, S i,nthe air-conditioning of=1, is namely in the air conditioner load of opening in this period, its corresponding electricity consumption comfort level index is and the electricity consumption comfort level index of these air conditioner loads is sorted from big to small, comfort level desired value is larger, shows that user satisfaction is higher, mutually should the electricity consumption priority of air-conditioning lower, its interrupt priority level participating in demand response is then higher;
Suppose have X platform air-conditioning to be in opening in the n-th period, be followed successively by after descending sequence:
K 1,n (1),K 2,n (1),...,K x,n (1),...,K X,n (1)
5.3 because be in K in the air conditioner load of unlatching in the n period 1, n (1)corresponding air conditioning electricity satisfaction is the highest, and interrupt priority level is also the highest, therefore by K 1, n (1)corresponding air conditioner load cut-offs state S i,nbe set to 0, namely become shutoff from unlatching, by S i,nsubstitution formula (4) obtains the n-th period new interrupt scheme S n;
5.4 calculate peak clipping amount P corresponding to new scheme n, judge whether it meets P n>=P aim, nif do not meet, repeat step 5.2 to 5.3, if meet, perform step 5.5;
5.5 export the n-th period interrupt scheme;
5.6 interrupt scheme repeating for 1 ~ N number of period calculate, and can obtain the total interrupt scheme in the overall response period:
S = ( S 1 , ... S i , .... S I ) = S 1 , 1 ... S 1 , n ... S 1 , N . . . . . . . . . . . . . . . S i , 1 ... S i , n ... S i , N . . . . . . . . . . . . . . . S I , 1 ... S I , n ... S I . N - - - ( 5 )
Namely the overall response scheme in day part in I platform air-conditioning N number of period is obtained.
The present invention is based on the Controlling model of the electricity consumption comfort level Index Establishment air conditioner load of air conditioner load thus be met the initial interrupt scheme of user power utilization comfort level, then according to the peak clipping target in the period, and the interrupt priority level of air conditioner load carries out interrupt scheme correction, finally taken into account the air conditioner load interrupt method of peak clipping requirement and users'comfort.
Further, in formula of the present invention (3), air-conditioning Energy Efficiency Ratio η value is 2.8; Thermal conductivity factor A value is 0.68; Heat radiation function ε value is 0.70, and control time interval value is 15min; Above-mentioned value can make the inventive method obtain better regulating effect.
Beneficial effect: the air conditioner load Priority interrupt method that the present invention is based on electricity consumption comfort level index calculate possesses feasibility and validity, the load optimal pattern that public building air conditioner load concentrates regulation and control can be applied to, there is provided concrete reference scheme for air conditioner load participates in peak clipping, realize the effect of optimization ensureing electricity consumption comfort level while reaching electrical network peak clipping requirement to greatest extent.
Accompanying drawing explanation
Fig. 1 is a kind of air conditioner load Priority interrupt method flow diagram based on electricity consumption comfort level provided by the invention;
Fig. 2 be a kind of final interrupt scheme of air conditioner load Priority interrupt method based on electricity consumption comfort level solve flow chart;
Fig. 3 is the effect of optimization figure of the air conditioner load Priority interrupt method based on electricity consumption comfort level.
Detailed description of the invention
Below by way of an example, the lower specific embodiment of the invention is described:
(1) determine air-conditioning response period and control time length, determine to respond the air conditioner load peak clipping total amount in the period, each air-conditioning collecting control time cut-offs state and indoor temperature data
1.1 determine air-conditioning response time started t on=11:00 and response end time t off=12:30;
1.2 determine control time length Δ t=15min minute, then total within the response period the individual period;
1.3 determine air-conditioning quantity I=5 participating in response, then i is air-conditioning numbering, i ∈ I;
1.4 collect each air-conditioning response start time cut-offs state and indoor and outdoor temperature data:
I-th air-conditioning initial air-conditioning before responding cut-offs state for [S i, 0] t=[11111] t, indoor temperature is [T i, 0] t=[28.227.525.625.228.6] t,
Outdoor temperature in Different periods is &lsqb; T n o u t &rsqb; = 34.2 33.9 34.4 34.8 34.8 34.9 ;
1.5 determine the desirable peak clipping amount of the air conditioner load [P responding the n-th period in the period aim, n]=[568665].
(2) each air-conditioner temperature setting value and domain of walker is determined
2.1 determine each air-conditioner temperature setting value [T i, set] t=[2626262526] t;
2.2 determine each air-conditioner temperature domain of walker Δ T i, set=1.5.
(3) the electricity consumption comfort level index of air conditioner load and the air conditioner load Controlling model of correspondence is set up
The 3.1 electricity consumption comfort level index K setting up air conditioner load i,n:
K i , n = | T i , n - T i , s e t | &Delta;T i , s e t - - - ( 1 )
Wherein: K i,nthe comfort level index of i-th air-conditioning in the n-th period; T i,nthe indoor temperature of i-th air-conditioning in the n-th period; T i, setit is the air-conditioner temperature setting value of i-th air-conditioning; Δ T i, setbe the air-conditioner temperature domain of walker of i-th air-conditioning, namely indoor temperature allowed band is T i, set~ T i, set+ Δ T i, set;
3.2 set up corresponding air conditioner load Controlling model
Assuming that air-conditioning work is in refrigeration mode, running state of air conditioner sets relevant with room temperature.When room temperature is higher than peak, air-conditioning is energized; During lower than minimum, air-conditioning power-off; When being in setting range, air-conditioning keeps original state.Its Controlling model is as follows:
S i , n = 0 T i . n &le; T i , s e t 1 T i . n &GreaterEqual; T i , s e t + &Delta;T i , s e t S i , n - 1 T i , s e t < T i . n < T i , s e t + &Delta;T i , s e t - - - ( 2 )
Wherein: S i,nthat the air-conditioning of i-th air-conditioning within the n-th period cut-offs state, S i, n-1that the air-conditioning of i-th air-conditioning within the (n-1)th period cut-offs state.
The equation that indoor temperature change generated in case changes with air-conditioning state is:
T i , n + 1 = T n + 1 o u t - &eta;P i S i , n + 1 / A - ( T n + 1 o u t - &eta;P i S i , n + 1 / A - T i , n ) &epsiv; = T n + 1 o u t - 0.7 ( T n + 1 o u t - T i , n ) - 3.09 S i , n + 1 - - - ( 3 )
Wherein: T i.n+1the indoor temperature of i-th air-conditioning in the (n+1)th period; it is the outdoor temperature in the (n+1)th period; for the power of t air-conditioning; S i, n+1cut-offfing state for air-conditioning, be 1 shutoff is 0 during unlatching; P i5 air-conditionings are all defaulted as 2.5kW, P in calculating here by specified refrigeration consumed power when being i-th air-conditioning unlatching is i, n+1the actual power of i-th air-conditioning in the (n+1)th period; η is air-conditioning Energy Efficiency Ratio, is 2.8; A is thermal conductivity factor, unit be 1/ (kW DEG C-1), get 0.68; ε is heat radiation function, Δ t is control time interval, is decided to be 15min, T cfor time constant, ε gets 0.70.
(4) the electricity consumption comfort level index of air-conditioning and the air conditioner load state of correspondence is calculated according to real data
Actually state S is cut-off according to each air-conditioning response start time i, 1and indoor temperature T i, 1, calculate the electricity consumption comfort level index K of i-th air-conditioning within N number of period i, 1..., K i,N, air-conditioning cut-offs state S i, 1..., S i,N, indoor temperature T i, 1..., T i,N, wherein i ∈ I.
For the 1st period the 1st air-conditioning, before responding, S 1,0=1, T 1,0=28.2, can be calculated electricity consumption comfort level index K 1 , 0 = | 28.2 - 26 | 1.5 = 1.467 :
Due to T 1,1=28.2 > (T 1, set+ Δ T 1, set), therefore the 1st period airconditioning control state is still for opening S 1,2=1;
According to the equation that indoor temperature change generated in case changes with air-conditioning state the indoor temperature that can calculate in the 1st period is T 1,2=26.91,
The electricity consumption comfort level index of the 1st period K 1 , 1 = | 26.91 - 26 | 1.5 = 0.601.
In like manner other several air-conditionings are calculated, the initial interrupt scheme of the 1st period can be obtained: namely in the 1st period, I platform air-conditioning cut-off state:
S 1 0 = ( S 1 , 2 , ... S i , 2 , ... S I , 2 ) T = 1 1 0 1 1 T - - - ( 4 )
(5) each comfort level index is sorted by size, determine the interrupt scheme of final air-conditioning in conjunction with air conditioner load peak clipping total amount
Initial interrupt scheme only considers the electricity consumption comfort level of user in response process, does not consider whether the program can reach expection peak clipping effect, reaching peak clipping target, also needing to carry out the interrupt scheme optimization based on interrupt priority level for realizing each period:
5.1 calculate the n-th period initial interrupt scheme corresponding peak clipping amount judge whether to meet if do not meet, perform step 5.2, if meet, perform step 5.5;
In 5.2 n-th periods of screening, S i,nthe air-conditioning of=1, is namely in the air conditioner load of opening in this period, its corresponding electricity consumption comfort level index is K i,n (1)=K i,n, and the electricity consumption comfort level index of these air conditioner loads sorted from big to small, comfort level desired value is larger, shows that user satisfaction is higher, mutually should the electricity consumption priority of air-conditioning lower, its interrupt priority level participating in demand response is then higher;
Suppose have X platform air-conditioning to be in opening in the n-th period, be followed successively by after descending sequence:
K 1,n (1),K 2,n (1),...,K x,n (1),...,K X,n (1)
5.3 because be in K in the air conditioner load of unlatching in the n period 1, n (1)corresponding air conditioning electricity satisfaction is the highest, and interrupt priority level is also the highest, therefore by K 1, n (1)corresponding air conditioner load cut-offs state S i,nbe set to 0, namely become shutoff from unlatching, by S i,nsubstitution formula (4) obtains the n-th period new interrupt scheme S n;
5.4 calculate peak clipping amount P corresponding to new scheme n, judge whether it meets P n>=P aim, nif discontented foot repeats step 5.2 to 5.3, if meet, perform step 5.5;
5.5 export the n-th period interrupt scheme;
5.6 interrupt scheme repeating for 1 ~ N number of period calculate, and can obtain the total interrupt scheme in the overall response period:
S = ( S 1 , ... S i , .... S I ) = S 1 , 1 ... S 1 , n ... S 1 , N . . . . . . . . . . . . . . . S i , 1 ... S i , n ... S i , N . . . . . . . . . . . . . . . S I , 1 ... S I , n ... S I . N - - - ( 5 )
5.7 export the overall response scheme in I platform air-conditioning N day part.Final interrupt scheme is as shown in table 1:
Table 1 is based on the air conditioner load Priority interrupt scheme of electricity consumption comfort level
Table 2 is based on indoor temperature change generated in case after the air conditioner load Priority interrupt of electricity consumption comfort level
Period 0 1 2 3 4 5 6
Air-conditioning 1 28.2 26.91 29.01 30.63 28.79 30.59 28.79
Air-conditioning 2 27.5 29.51 27.74 29.74 31.02 29.06 30.81
Air-conditioning 3 25.6 28.18 29.9 28.16 30.15 30.85 28.98
Air-conditioning 4 25.2 27.9 26.61 28.95 27.62 29.47 25.91
Air-conditioning 5 28.6 27.19 29.03 28.54 30.42 28.64 30.52
Outdoor temperature 34.2 33.9 34.4 34.8 34.8 34.9
Table 3 is based on electricity consumption comfort level index change after the air conditioner load Priority interrupt of electricity consumption comfort level
Period 0 1 2 3 4 5 6
Air-conditioning 1 1.467 0.58 2.007 3.087 1.86 3.06 1.86
Air-conditioning 2 1 2.34 1.16 2.493 3.347 2.04 3.207
Air-conditioning 3 0.267 1.453 2.6 1.44 2.767 3.23 1.987
Air-conditioning 4 0.133 1.933 1.07 2.633 1.745 2.98 0.606
Air-conditioning 5 1.733 0.793 2.02 1.694 2.947 1.76 3.013
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment to invention has been detailed description, those of ordinary skill in the field are to be understood that: still can modify to the specific embodiment of the present invention or equivalent replacement, and not departing from any amendment of spirit and scope of the invention or equivalent replacement, it all should be encompassed in the middle of right of the present invention.

Claims (2)

1., based on an air conditioner load Priority interrupt method for electricity consumption comfort level, it is characterized in that, comprise the following steps:
(1) determine air-conditioning response period and control time length, determine to respond the air conditioner load peak clipping total amount in the period, each air-conditioning collected in control time cut-offs state and indoor temperature data:
1.1 determine air-conditioning response time started t onwith response end time t off;
1.2 determine control time length Δ t minute, then total within the response period the individual period;
1.3 determine the air-conditioning quantity I participating in response, and definition i is air-conditioning numbering;
1.4 collect each air-conditioning response start time cut-offs state and indoor temperature data: defining i-th air-conditioning responding the air-conditioning state of cut-offfing when starting is S i, 0, indoor temperature is T i, 0, the outdoor temperature of the n-th period is
1.5 determine the air conditioner load ideal peak clipping amount P responding the n-th period in the period aim, n;
(2) each air-conditioner temperature setting value and domain of walker is determined:
2.1 determine each air-conditioner temperature setting value T i, set;
2.2 determine each air-conditioner temperature domain of walker Δ T i, set;
(3) the electricity consumption comfort level index of air conditioner load and the air conditioner load Controlling model of correspondence is set up:
The 3.1 electricity consumption comfort level index K setting up air conditioner load i,n:
K i , n = | T i , n - T i , s e t | &Delta;T i , s e t - - - ( 1 )
Wherein: K i,nthe comfort level index of i-th air-conditioning in the n-th period; T i,nthe indoor temperature of i-th air-conditioning in the n-th period; T i, setit is the air-conditioner temperature setting value of i-th air-conditioning; Δ T i, setbe the air-conditioner temperature domain of walker of i-th air-conditioning, namely indoor temperature allowed band is T i, set~ T i, set+ Δ T i, set;
3.2 set up corresponding air conditioner load Controlling model:
Assuming that air-conditioning work is in refrigeration mode, running state of air conditioner sets relevant with room temperature: when room temperature is higher than peak, air-conditioning is energized; During lower than minimum, make air-conditioning power-off; When being in setting range, air-conditioning keeps original state, then Controlling model is as follows:
S i , n = 0 T i , n &le; T i , s e t 1 T i , n &GreaterEqual; T i , s e t + &Delta;T i , s e t S i , n - 1 T i , s e t < T i , n < T i , s e t + &Delta;T i , s e t - - - ( 2 )
Wherein: S i,nthat the air-conditioning of i-th air-conditioning within the n-th period cut-offs state, S i, n-1that the air-conditioning of i-th air-conditioning within the (n-1)th period cut-offs state;
The pass that indoor temperature change generated in case changes with air-conditioning state is:
T i , n + 1 = T n + 1 o u t - &eta;P i S i , n + 1 / A - ( T n + 1 o u t - &eta;P i S i , n + 1 / A - T i , n ) &epsiv; - - - ( 3 )
Wherein: T i.n+1the indoor temperature of i-th air-conditioning in the (n+1)th period; the outdoor temperature of i-th air-conditioning in the (n+1)th period; for the power of t air-conditioning; S i, n+1cut-offfing state for air-conditioning, be 1 shutoff is 0 during unlatching; P ispecified refrigeration consumed power when being i-th air-conditioning unlatching, P is i, n+1the actual power of i-th air-conditioning in the (n+1)th period; η is air-conditioning Energy Efficiency Ratio; A is thermal conductivity factor, unit be 1/ (kW DEG C-1); ε is heat radiation function, Δ t is control time interval, T cfor time constant;
(4) the electricity consumption comfort level index of air-conditioning and the air conditioner load state of correspondence is calculated according to real data:
Actually state S is cut-off according to each air-conditioning response start time i, 1and indoor temperature T i, 1, calculate the electricity consumption comfort level index K of i-th air-conditioning within N number of period i, 1..., K i,N, air-conditioning cut-offs state S i, 1..., S i,N, indoor temperature T i, 1..., T i,N;
Can obtain the initial interrupt scheme of the n-th period thus: namely in the n-th period, the cut-off state of I platform air-conditioning under spatial load forecasting is:
S n 0 = ( S 1 , n , ... S i , n , ... S I , n ) T - - - ( 4 )
(5) each comfort level index is sorted by size, determines the interrupt scheme of final air-conditioning in conjunction with air conditioner load peak clipping total amount:
5.1 calculate the n-th period initial interrupt scheme corresponding peak clipping amount judge whether to meet if do not meet, perform step 5.2, if meet, perform step 5.5;
In 5.2 n-th periods of screening, S i,nthe air-conditioning of=1, is namely in the air conditioner load of opening in this period, its corresponding electricity consumption comfort level index is K i,n (1)=K i,n, and the electricity consumption comfort level index of these air conditioner loads sorted from big to small, comfort level desired value is larger, shows that user satisfaction is higher, mutually should the electricity consumption priority of air-conditioning lower, its interrupt priority level participating in demand response is then higher;
Suppose have X platform air-conditioning to be in opening in the n-th period, be followed successively by after descending sequence:
K 1,n (1),K 2,n (1),...,K x,n (1),...,K X,n (1)
5.3 because be in K in the air conditioner load of unlatching in the n period 1, n (1)corresponding air conditioning electricity satisfaction is the highest, and interrupt priority level is also the highest, therefore by K 1, n (1)corresponding air conditioner load cut-offs state S i,nbe set to 0, namely become shutoff from unlatching, by S i,nsubstitution formula (4) obtains the n-th period new interrupt scheme S n;
5.4 calculate peak clipping amount P corresponding to new scheme n, judge whether it meets P n>=P aim, nif do not meet, repeat step 5.2 to 5.3, if meet, perform step 5.5;
5.5 export the n-th period interrupt scheme;
5.6 interrupt scheme repeating for 1 ~ N number of period calculate, and can obtain the total interrupt scheme in the overall response period:
S = ( S 1 , ... S i , ... S I ) = S 1 , 1 ... S 1 , n ... S 1 , N . . . . . . . . . . . . . . . S i , 1 ... S i , n ... S i , N . . . . . . . . . . . . . . . S I , 1 ... S I , n ... S I . N - - - ( 5 )
Namely the overall response scheme in day part in I platform air-conditioning N number of period is obtained.
2. method according to claim 1, is characterized in that, in formula (3), air-conditioning Energy Efficiency Ratio η value is 2.8; Thermal conductivity factor A value is 0.68; Heat radiation function ε value is 0.70, and control time interval value is 15min.
CN201510641078.6A 2015-09-30 2015-09-30 Air conditioner load priority interruption method based on electricity utilization comfort level Active CN105444343B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510641078.6A CN105444343B (en) 2015-09-30 2015-09-30 Air conditioner load priority interruption method based on electricity utilization comfort level

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510641078.6A CN105444343B (en) 2015-09-30 2015-09-30 Air conditioner load priority interruption method based on electricity utilization comfort level

Publications (2)

Publication Number Publication Date
CN105444343A true CN105444343A (en) 2016-03-30
CN105444343B CN105444343B (en) 2020-03-13

Family

ID=55554833

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510641078.6A Active CN105444343B (en) 2015-09-30 2015-09-30 Air conditioner load priority interruption method based on electricity utilization comfort level

Country Status (1)

Country Link
CN (1) CN105444343B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105864963A (en) * 2016-04-05 2016-08-17 东南大学 Aggregation air conditioner load control method based on conversion time priority list
CN106451472A (en) * 2016-10-24 2017-02-22 国电南瑞科技股份有限公司 Method for users to participate in power-grid peaking regulation based on virtual machine unit
CN106485068A (en) * 2016-10-08 2017-03-08 东南大学 A kind of polymerization modeling method of air conditioner load
CN107178869A (en) * 2017-04-24 2017-09-19 东南大学 The polymerization control despicking method of convertible frequency air-conditioner load
CN108266958A (en) * 2017-12-08 2018-07-10 广州供电局有限公司 Demand response capacity evaluating method, device, storage medium and computer equipment
CN108562019A (en) * 2018-04-02 2018-09-21 广东美的暖通设备有限公司 Control method and control system, the air-conditioning system of air-conditioning system
CN108599177A (en) * 2018-05-23 2018-09-28 云南电网有限责任公司 A kind of automatic demand response strategy of resident based on dynamic priority
CN109409741A (en) * 2018-10-26 2019-03-01 国网上海市电力公司 A kind of flexible peak regulating method of central air-conditioning
CN109737570A (en) * 2019-01-21 2019-05-10 中国电力科学研究院有限公司 A kind of multi-connection operation regulation method and system
CN110161856A (en) * 2019-05-24 2019-08-23 华南理工大学 A kind of business premises air conditioner load centralized dispatching method
CN110223005A (en) * 2019-06-21 2019-09-10 清华大学 Air conditioner load power supply reliability assessment method and assessment device
CN111520882A (en) * 2020-04-02 2020-08-11 广东汇电云联智能科技有限公司 Automatic measurement method and device for hydraulic balance of air conditioning system and storage medium
CN111697594A (en) * 2020-06-22 2020-09-22 南方电网科学研究院有限责任公司 Demand response control method, system and equipment for limiting load reduction rate of power grid
CN112556109A (en) * 2020-11-25 2021-03-26 国网上海市电力公司 Central air conditioner demand response scheme optimization method based on global temperature adjustment
CN112665159A (en) * 2021-01-07 2021-04-16 西安建筑科技大学 Load rebound quantity optimization and load regulation method and system based on demand response
CN113218053A (en) * 2020-05-29 2021-08-06 国网河北省电力有限公司 Air conditioner load regulation and control system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3718456A1 (en) * 1986-06-11 1987-12-17 Budapesti Eletromos Muevek Method for increasing the load carrying capability of installed low-voltage power distributor systems by means of central control of the switching of periodic loads
JP2002277017A (en) * 2001-03-14 2002-09-25 Daikin Ind Ltd Air conditioner, method for controlling the same, air conditioning system and program thereof
KR100949044B1 (en) * 2009-08-07 2010-03-24 충남대학교산학협력단 Optimized operation method for cooling system
CN103257571A (en) * 2013-04-22 2013-08-21 东南大学 Air conditioning load control strategy making method based on direct load control
CN103746453A (en) * 2013-12-27 2014-04-23 江苏南瑞帕威尔电气有限公司 A power load adjusting system based on user real-time feedback
CN103972896A (en) * 2014-05-13 2014-08-06 国家电网公司 Load modeling and optimal control method based on demand response
CN104374042A (en) * 2014-07-28 2015-02-25 广东电网公司电力科学研究院 Air conditioner load control method and system
CN104990208A (en) * 2015-06-04 2015-10-21 国家电网公司 Method for controlling and reducing peak load of power grid by using air conditioning load

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3718456A1 (en) * 1986-06-11 1987-12-17 Budapesti Eletromos Muevek Method for increasing the load carrying capability of installed low-voltage power distributor systems by means of central control of the switching of periodic loads
JP2002277017A (en) * 2001-03-14 2002-09-25 Daikin Ind Ltd Air conditioner, method for controlling the same, air conditioning system and program thereof
KR100949044B1 (en) * 2009-08-07 2010-03-24 충남대학교산학협력단 Optimized operation method for cooling system
CN103257571A (en) * 2013-04-22 2013-08-21 东南大学 Air conditioning load control strategy making method based on direct load control
CN103746453A (en) * 2013-12-27 2014-04-23 江苏南瑞帕威尔电气有限公司 A power load adjusting system based on user real-time feedback
CN103972896A (en) * 2014-05-13 2014-08-06 国家电网公司 Load modeling and optimal control method based on demand response
CN104374042A (en) * 2014-07-28 2015-02-25 广东电网公司电力科学研究院 Air conditioner load control method and system
CN104990208A (en) * 2015-06-04 2015-10-21 国家电网公司 Method for controlling and reducing peak load of power grid by using air conditioning load

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105864963B (en) * 2016-04-05 2018-08-21 东南大学 A kind of polymerization air conditioner load control method based on transformation time priority list
CN105864963A (en) * 2016-04-05 2016-08-17 东南大学 Aggregation air conditioner load control method based on conversion time priority list
CN106485068A (en) * 2016-10-08 2017-03-08 东南大学 A kind of polymerization modeling method of air conditioner load
CN106485068B (en) * 2016-10-08 2018-12-28 东南大学 A kind of polymerization modeling method of air conditioner load
CN106451472B (en) * 2016-10-24 2018-10-02 国电南瑞科技股份有限公司 A kind of user's participation peak load regulation network method based on virtual robot arm
CN106451472A (en) * 2016-10-24 2017-02-22 国电南瑞科技股份有限公司 Method for users to participate in power-grid peaking regulation based on virtual machine unit
CN107178869A (en) * 2017-04-24 2017-09-19 东南大学 The polymerization control despicking method of convertible frequency air-conditioner load
CN107178869B (en) * 2017-04-24 2019-09-20 东南大学 The polymerization of convertible frequency air-conditioner load controls despicking method
CN108266958A (en) * 2017-12-08 2018-07-10 广州供电局有限公司 Demand response capacity evaluating method, device, storage medium and computer equipment
CN108562019A (en) * 2018-04-02 2018-09-21 广东美的暖通设备有限公司 Control method and control system, the air-conditioning system of air-conditioning system
CN108562019B (en) * 2018-04-02 2020-11-27 广东美的暖通设备有限公司 Control method and control system of air conditioning system and air conditioning system
CN108599177A (en) * 2018-05-23 2018-09-28 云南电网有限责任公司 A kind of automatic demand response strategy of resident based on dynamic priority
CN108599177B (en) * 2018-05-23 2021-09-07 云南电网有限责任公司 Dynamic priority based automatic demand response strategy for residential users
CN109409741A (en) * 2018-10-26 2019-03-01 国网上海市电力公司 A kind of flexible peak regulating method of central air-conditioning
CN109409741B (en) * 2018-10-26 2021-12-07 国网上海市电力公司 Flexible peak regulation method of central air conditioner
CN109737570A (en) * 2019-01-21 2019-05-10 中国电力科学研究院有限公司 A kind of multi-connection operation regulation method and system
CN110161856A (en) * 2019-05-24 2019-08-23 华南理工大学 A kind of business premises air conditioner load centralized dispatching method
CN110223005B (en) * 2019-06-21 2021-05-25 清华大学 Air conditioner load power supply reliability assessment method and assessment device
CN110223005A (en) * 2019-06-21 2019-09-10 清华大学 Air conditioner load power supply reliability assessment method and assessment device
CN111520882A (en) * 2020-04-02 2020-08-11 广东汇电云联智能科技有限公司 Automatic measurement method and device for hydraulic balance of air conditioning system and storage medium
CN111520882B (en) * 2020-04-02 2021-09-24 广东汇电云联智能科技有限公司 Automatic measurement method and device for hydraulic balance of air conditioning system and storage medium
CN113218053A (en) * 2020-05-29 2021-08-06 国网河北省电力有限公司 Air conditioner load regulation and control system
CN111697594A (en) * 2020-06-22 2020-09-22 南方电网科学研究院有限责任公司 Demand response control method, system and equipment for limiting load reduction rate of power grid
CN112556109A (en) * 2020-11-25 2021-03-26 国网上海市电力公司 Central air conditioner demand response scheme optimization method based on global temperature adjustment
CN112556109B (en) * 2020-11-25 2022-07-12 国网上海市电力公司 Central air conditioner demand response scheme optimization method based on global temperature adjustment
CN112665159A (en) * 2021-01-07 2021-04-16 西安建筑科技大学 Load rebound quantity optimization and load regulation method and system based on demand response
CN112665159B (en) * 2021-01-07 2021-12-21 西安建筑科技大学 Load rebound quantity optimization and load regulation method and system based on demand response

Also Published As

Publication number Publication date
CN105444343B (en) 2020-03-13

Similar Documents

Publication Publication Date Title
CN105444343A (en) Air conditioner load priority interruption method based on electricity utilization comfort level
CN104214912B (en) Aggregation air conditioning load scheduling method based on temperature set value adjustment
CN110425706B (en) Power grid peak clipping-oriented aggregated air conditioner load regulation and control method
Zhang et al. A multi-criterion renewable energy system design optimization for net zero energy buildings under uncertainties
Yu et al. A GA-based system sizing method for net-zero energy buildings considering multi-criteria performance requirements under parameter uncertainties
CN105841300A (en) Modeling and controlling strategy for central air conditioner with fresh air system
Meng et al. A demand-response method to balance electric power-grids via HVAC systems using active energy-storage: Simulation and on-site experiment
CN105138847A (en) Method for electricity-saving potential estimation on load involved demand response of variable-frequency air conditioners
CN104778631A (en) Method for optimizing power utilization modes of residential users with orientation to demand response
CN103257571A (en) Air conditioning load control strategy making method based on direct load control
CN104952001A (en) Method for performing power optimized scheduling on controllable loads comprising air conditioning loads
CN106524353A (en) Method for air-conditioner load actively controlling and participating in peak regulation of electric power
CN107860057B (en) Heat load economic optimization scheduling method for cogeneration heating system
CN106972497A (en) A kind of probabilistic model of the scattered modulation strategy of air conditioner load group is set up and method of value solving
Luo et al. A two-stage energy management strategy for CCHP microgrid considering house characteristics
CN111737857A (en) Heating ventilation air-conditioning cluster coordination control method based on interaction capacity curve
CN105279709A (en) Power grid day-ahead optimization scheduling method based on thermal inertia of hot water network
CN105823175A (en) Air conditioner time-sharing scheduling method based on demand response
CN111681133B (en) Method and device for processing electric load information
CN105864963A (en) Aggregation air conditioner load control method based on conversion time priority list
CN113420413B (en) Flexible load adjustability quantification method and system based on load plasticity
CN107563547A (en) A kind of novel user side energy depth Optimum Synthesis energy management-control method
CN108224692B (en) Consider the air-conditioning flexible control responding ability prediction technique of outside air temperature prediction error
Chen et al. Optimal power dispatch for district cooling system considering cooling water transport delay
CN113159380B (en) Comprehensive energy system operation optimization method considering demand response

Legal Events

Date Code Title Description
C06 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