CN105701566B - Wind power heating system scheduling method and device comprising heat accumulation - Google Patents
Wind power heating system scheduling method and device comprising heat accumulation Download PDFInfo
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Abstract
The present invention relates to a kind of wind power heating system scheduling method and device comprising heat accumulation, this method comprises: the device parameter of the wind power heating system, a few days ago planned supply and use of electric power power and a few days ago heat load prediction value are obtained, to determine the quantity of heat storage change curve of heat-storing device a few days ago；Obtain the practical electric power of the electric heating system of next day preset time period and the electric heating system heating load forecasting value of actual heating load and the subsequent time period of the preset time period；The in a few days rolling planning scheduling model using the electric power of the wind power heating system as decision variable is established, and power generation dispatching is in a few days rolled according to the in a few days rolling planning scheduling model.The linear scheduling model of in a few days rolling of the invention is only using electric power as decision variable, facilitate and wind power heating system is added in power grid existing day in rolling planning formulation system, and then the optimal control of wind power heating system may be implemented, it ensure that the safety and economy of dispatching of power netwoks operation.
Description
Technical field
The present invention relates to new energy and high-efficiency energy-saving technology field more particularly to a kind of wind power heating system comprising heat accumulation
Dispatching method and device.
Background technique
The northern area of China wind resource is abundant, and wind-powered electricity generation installation scale expands year by year, however this regional heating period in winter
Between abandonment it is serious, have become restrict Wind Power Development primary bottleneck.Also, while wind-powered electricity generation a large amount of abandonments, using fire coal
The heating system of the forms such as boiler can largely consume fossil energy and discharge pollutants.
Wind power output has to be mismatched between fluctuation and uncertainty, and electric load demand, utilizes wind power heating
On the one hand it can increase system loading, reduce abandonment, heat-storing device is on the other hand added can will in the wind power output big period
Extra energy stores are got up, and are released energy in the wind power output small period and are guaranteed heating demands.Using wind power heating, can subtract
Few abandonment simultaneously realizes energy-saving and emission-reduction, and Benefit is quickly grown at present.
In order to which the wind power heating system for containing heat accumulation is conveniently added in existing power grid in a few days rolling planning scheduling system,
Existing electricity is added in the model by the in a few days rolling planning scheduling model for initially setting up the wind power heating system comprising heat accumulation
In net in a few days rolling planning scheduling system, the in a few days rolling planning electricity consumption curve of wind power heating system is determined.However, the prior art
The in a few days rolling planning scheduling model for the wind power heating system established in scheme includes that the heating power of entire heat reservoir runs shape
State is as decision variable, when largely building wind power heating system in system, if using existing wind power heating system model
It carries out in a few days rolling planning to calculate, it may appear that more problems of decision variable to be determined cannot achieve wind power heating easily
The purpose in power grid existing day in rolling planning formulation system is added in system, is unfavorable for realizing the optimization control of wind power heating system
System.
Summary of the invention
In order to solve the above technical problems, one aspect of the present invention proposes a kind of wind power heating system call side comprising heat accumulation
Method, this method comprises:
Device parameter, a few days ago planned supply and use of electric power power and the heat load prediction value a few days ago of the wind power heating system are obtained, with
According to the device parameter, a few days ago planned supply and use of electric power power and the heat accumulation quantitative change of the determining heat-storing device a few days ago of heat load prediction value a few days ago
Change curve；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, described
Heat load prediction value is the result of heat load prediction a few days ago a few days ago；
Obtain the practical electric power of the electric heating system of next day preset time period and the practical heat of the electric heating system
The electric heating system heating load forecasting value of load and the subsequent time period of the preset time period；
According to the device parameter, the quantity of heat storage change curve, the practical electric power, the actual heating load with
And the electric heating system heating load forecasting value is established using the electric power of the wind power heating system as decision variable
In a few days rolling planning scheduling model；
Power generation dispatching is in a few days rolled according to the in a few days rolling planning scheduling model.
Preferably, the device parameter includes electric heating conversion coefficient Ceh, maximum electric power Peh,max, next day initial time
Initial heat storage capacity S0, maximum heat storage capacity SmaxAnd next day one day leakage heat loss rate kloss。
Preferably, the model of the quantity of heat storage change curve of the heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；kloss
For next day one day leakage heat loss rate；SmaxFor maximum heat storage capacity；The sampling number that N is next day one day；I is respectively to sample next day
The ordinal number of point.
Preferably, the power constraint of the electric heater unit of the in a few days rolling planning scheduling model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0
For the initial time of the subsequent time period of the preset time period.
Preferably, the quantity of heat storage constraint of the heat-storing device of the in a few days rolling planning scheduling model are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；Under described
The electric heating system of one period leaks heat loss power prediction value；For from t=0 moment original state S0Run to moment t=
t0When the moment, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical of moment foregoing description electricity heating system uses electric work
Rate, actual heating load power and actual heating load wasted power.
Preferably, the electricity consumption constraint of the in a few days rolling planning scheduling model are as follows:
Wherein,
On the other hand, the present invention also provides a kind of wind power heating system call device comprising heat accumulation, the device include:
Quantity of heat storage determination unit, is used for
Device parameter, a few days ago planned supply and use of electric power power and the heat load prediction value a few days ago of the wind power heating system are obtained, with
According to the device parameter, a few days ago planned supply and use of electric power power and the heat accumulation quantitative change of the determining heat-storing device a few days ago of heat load prediction value a few days ago
Change curve；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, described
Heat load prediction value is the result of heat load prediction a few days ago a few days ago；
Operating condition acquiring unit, for obtaining practical electric power and the institute of the electric heating system of next day preset time period
The electric heating system heating demand for stating the actual heating load of electric heating system and the subsequent time period of the preset time period is pre-
Measured value；
Scheduling model establishes unit, for according to the device parameter, the quantity of heat storage change curve, the practical electricity consumption
Power, the actual heating load and the electric heating system heating load forecasting value are established with the use of the wind power heating system
In a few days rolling planning scheduling model of the electrical power as decision variable；
Power generation dispatching unit, in a few days being rolled power generation dispatching according to the in a few days rolling planning scheduling model.
Preferably, the device parameter includes electric heating conversion coefficient Ceh, maximum electric power Peh,max, next day initial time
Initial heat storage capacity S0, maximum heat storage capacity SmaxAnd next day one day leakage heat loss rate kloss。
Preferably, the model of the quantity of heat storage change curve of the heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；kloss
For next day one day leakage heat loss rate；SmaxFor maximum heat storage capacity；The sampling number that N is next day one day；I is respectively to sample next day
The ordinal number of point.
Preferably, the power constraint of the electric heater unit of the in a few days rolling planning scheduling model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0
For the initial time of the subsequent time period of the preset time period, N0For the when segment length of the subsequent time period of the preset time period
Degree；
The quantity of heat storage of the heat-storing device of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；Under described
The electric heating system of one period leaks heat loss power prediction value；For from t=0 moment original state S0Run to moment t=
t0When the moment, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical of moment foregoing description electricity heating system uses electric work
Rate, actual heating load power and actual heating load wasted power；
The electricity consumption of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
The in a few days rolling planning scheduling model of wind power heating system of the present invention by foundation comprising heat accumulation, will be containing heat accumulation
Wind power heating system is conveniently added in existing power grid in a few days rolling planning scheduling system, and then by determining wind power heating system
The in a few days rolling planning electricity consumption curve of system, is in a few days rolled power generation dispatching.Linear scheduling mould is rolled in day provided by the invention
Type will only contain wind power heating system electric power as decision variable, facilitate wind power heating system power grid existing day is added
In interior rolling planning formulation system, and then the optimal control of wind power heating system may be implemented.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 shows the wind power heating system scheduling method flow chart comprising heat accumulation of one embodiment of the invention；
Fig. 2 shows the wind power heating system call apparatus structure block diagrams comprising heat accumulation of one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 shows the wind power heating system scheduling method flow chart comprising heat accumulation of one embodiment of the invention；Such as Fig. 1
It is shown, this method comprises:
S1: obtaining device parameter, a few days ago planned supply and use of electric power power and the heat load prediction value a few days ago of the wind power heating system,
According to the device parameter, a few days ago planned supply and use of electric power power and a few days ago heat load prediction value determines the quantity of heat storage of heat-storing device a few days ago
Change curve；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, described
Heat load prediction value is the result of heat load prediction a few days ago a few days ago；
S2: the practical electric power of the electric heating system of next day preset time period and the reality of the electric heating system are obtained
The electric heating system heating load forecasting value of the subsequent time period of thermic load and the preset time period；
S3: negative according to the device parameter, the quantity of heat storage change curve, the practical electric power, the practical heat
Lotus and the electric heating system heating load forecasting value are established using the electric power of the wind power heating system as decision and are become
The in a few days rolling planning scheduling model of amount；
S4: power generation dispatching is in a few days rolled according to the in a few days rolling planning scheduling model.
The in a few days rolling planning scheduling model of wind power heating system of the present embodiment by foundation comprising heat accumulation, will contain heat accumulation
Wind power heating system be conveniently added in existing power grid in a few days rolling planning scheduling system, and then by determine wind power heating
The in a few days rolling planning electricity consumption curve of system is in a few days rolled power generation dispatching, also, due to rolling in day provided by the invention
Linear scheduling model will only contain wind power heating system electric power as decision variable, therefore can be easily by wind power heating system
System is added in power grid existing day in rolling planning formulation system, and then the optimal control of wind power heating system may be implemented, and protects
The safety and economy of dispatching of power netwoks operation are demonstrate,proved.
In the present embodiment, device parameter may include electric heating conversion coefficient Ceh, maximum electric power Peh,max, next day it is initial
The initial heat storage capacity S at moment0, maximum heat storage capacity SmaxAnd next day one day leakage heat loss rate kloss。
On this basis, the model of the quantity of heat storage change curve of heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；kloss
For next day one day leakage heat loss rate；SmaxFor maximum heat storage capacity；The sampling number that N is next day one day；I is respectively to sample next day
The ordinal number of point.
Further, the in a few days power constraint of the electric heater unit of rolling planning scheduling model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0
For the initial time of the subsequent time period of the preset time period, N0For the when segment length of the subsequent time period of the preset time period
Degree.
The quantity of heat storage of the heat-storing device of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；Under described
The electric heating system of one period leaks heat loss power prediction value；For from t=0 moment original state S0Run to moment t=
t0When the moment, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical of moment foregoing description electricity heating system uses electric work
Rate, actual heating load power and actual heating load wasted power.
The electricity consumption of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
Fig. 2 shows the wind power heating system call apparatus structure block diagrams comprising heat accumulation of one embodiment of the invention.Such as
Shown in Fig. 2, which includes:
Quantity of heat storage determination unit 100, device parameter, planned supply and use of electric power power a few days ago for obtaining the wind power heating system
Heat load prediction value a few days ago, according to the device parameter, a few days ago planned supply and use of electric power power and heat load prediction value determination a few days ago
The quantity of heat storage change curve of heat-storing device a few days ago；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, described
Heat load prediction value is the result of heat load prediction a few days ago a few days ago；
Operating condition acquiring unit 200, the practical electric power of the electric heating system for obtaining next day preset time period
It is negative with the electric heating system heat supply of the subsequent time period of the actual heating load and preset time period of the electric heating system
Lotus predicted value；
Scheduling model establishes unit 300, for according to the device parameter, the quantity of heat storage change curve, the reality
Electric power, the actual heating load and the electric heating system heating load forecasting value are established with the wind power heating system
In a few days rolling planning scheduling model of the electric power as decision variable；
Power generation dispatching unit 400, in a few days being rolled power generation dispatching according to the in a few days rolling planning scheduling model.
Device described in the present embodiment can be used for executing above method embodiment, and principle is similar with technical effect, this
Place repeats no more.
As the preferred of the present embodiment, the device parameter includes electric heating conversion coefficient Ceh, maximum electric power Peh,max、
The initial heat storage capacity S of next day initial time0, maximum heat storage capacity SmaxAnd next day one day leakage heat loss rate kloss。
Further, the model of the quantity of heat storage change curve of the heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；kloss
For next day one day leakage heat loss rate；SmaxFor maximum heat storage capacity；The sampling number that N is next day one day；I is respectively to sample next day
The ordinal number of point.
On this basis, the power constraint of the electric heater unit of the in a few days rolling planning scheduling model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0
For the initial time of the subsequent time period of the preset time period, N0For the when segment length of the subsequent time period of the preset time period
Degree；
The quantity of heat storage of the heat-storing device of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；Under described
The electric heating system of one period leaks heat loss power prediction value；For from t=0 moment original state S0Run to moment t=
t0When the moment, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical of moment foregoing description electricity heating system uses electric work
Rate, actual heating load power and actual heating load wasted power；
The electricity consumption of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
Device described in the present embodiment can be used for executing above method embodiment, and principle is similar with technical effect, this
Place repeats no more.
The in a few days rolling planning scheduling model of wind power heating system of the present invention by foundation comprising heat accumulation, will be containing heat accumulation
Wind power heating system is conveniently added in existing power grid in a few days rolling planning scheduling system, and then by determining wind power heating system
The in a few days rolling planning electricity consumption curve of system, is in a few days rolled power generation dispatching, also, due to rolling wire in day provided by the invention
Property scheduling model will only contain wind power heating system electric power as decision variable, therefore can be easily by wind power heating system
It is added in power grid existing day in rolling planning formulation system, and then the optimal control of wind power heating system may be implemented, guarantee
The safety and economy of dispatching of power netwoks operation.
The above examples are only used to illustrate the technical scheme of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these are modified or replace
It changes, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (8)
1. a kind of wind power heating system scheduling method comprising heat accumulation characterized by comprising
Device parameter, a few days ago planned supply and use of electric power power and the heat load prediction value a few days ago of the wind power heating system are obtained, with basis
It is bent that the device parameter, a few days ago planned supply and use of electric power power and a few days ago heat load prediction value determine that the quantity of heat storage of heat-storing device a few days ago changes
Line；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, it is described a few days ago
Heat load prediction value is the result of heat load prediction a few days ago；
The practical electric power of the electric heating system of next day preset time period and the actual heating load of the electric heating system are obtained,
And the electric heating system heating load forecasting value of the subsequent time period of the preset time period；
According to the device parameter, the quantity of heat storage change curve, the practical electric power, the actual heating load and institute
Electric heating system heating load forecasting value is stated to establish using the electric power of the wind power heating system as decision variable in a few days
Rolling planning scheduling model；
Power generation dispatching is in a few days rolled according to the in a few days rolling planning scheduling model；
Wherein, the model of the quantity of heat storage change curve of the heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For
Heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；SmaxFor maximum storage
Thermal capacity；The sampling number that N is next day one day；I is the ordinal number of next day each sampled point；klossFor next day one day leakage heat loss
Rate.
2. as described in claim 1 including the wind power heating system scheduling method of heat accumulation, which is characterized in that the device parameter
Including electric heating conversion coefficient Ceh, maximum electric power Peh,max, next day initial time initial heat storage capacity S0, maximum heat accumulation holds
Measure SmaxAnd next day one day leakage heat loss rate kloss。
3. as claimed in claim 2 including the wind power heating system scheduling method of heat accumulation, which is characterized in that described in a few days to roll
The power constraint of the electric heater unit of planned dispatching model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0For institute
State the initial time of the subsequent time period of preset time period, N0For the Period Length of the subsequent time period of the preset time period.
4. as claimed in claim 3 including the wind power heating system scheduling method of heat accumulation, which is characterized in that described in a few days to roll
The quantity of heat storage of the heat-storing device of planned dispatching model constrains are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；For described lower a period of time
Between section electric heating system leak heat loss power prediction value；For from t=0 moment original state S0Run to moment t=t0When
When quarter, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical electric power of moment foregoing description electricity heating system, reality
Border thermic load power and actual heating load wasted power.
5. as claimed in claim 4 including the wind power heating system scheduling method of heat accumulation, which is characterized in that described in a few days to roll
The electricity consumption of planned dispatching model constrains are as follows:
Wherein,
6. a kind of wind power heating system call device comprising heat accumulation characterized by comprising
Quantity of heat storage determination unit, device parameter, planned supply and use of electric power power and a few days ago a few days ago for obtaining the wind power heating system
Heat load prediction value, to be stored up according to the device parameter, a few days ago planned supply and use of electric power power and heat load prediction value determination a few days ago a few days ago
The quantity of heat storage change curve of thermal；
Wherein, the power of planned supply and use of electric power a few days ago is the electric power of the next day determined according to generation schedule a few days ago, it is described a few days ago
Heat load prediction value is the result of heat load prediction a few days ago；
The practical electric power of the electric heating system of next day preset time period and the actual heating load of the electric heating system are obtained,
And the electric heating system heating load forecasting value of the subsequent time period of the preset time period；
Scheduling model establishes unit, for according to the device parameter, the quantity of heat storage change curve, described actually use electric work
Rate, the actual heating load and the electric heating system heating load forecasting value are established with the electricity consumption of the wind power heating system
In a few days rolling planning scheduling model of the power as decision variable；
Power generation dispatching unit, in a few days being rolled power generation dispatching according to the in a few days rolling planning scheduling model；
Wherein, the model of the quantity of heat storage change curve of the heat-storing device a few days ago are as follows:
Hloss=klossSmax/24
Δ t=24/N
Wherein,For the heat-storing device quantity of heat storage a few days ago；For planned supply and use of electric power power a few days ago；For
Heat load prediction value a few days ago；HlossAveragely to leak heat loss power per hour；Δ t is sampled point interval time；SmaxFor maximum storage
Thermal capacity；The sampling number that N is next day one day；I is the ordinal number of next day each sampled point；klossFor next day one day leakage heat loss
Rate.
7. as claimed in claim 6 including the wind power heating system call device of heat accumulation, which is characterized in that the device parameter
Including electric heating conversion coefficient Ceh, maximum electric power Peh,max, next day initial time initial heat storage capacity S0, maximum heat accumulation holds
Measure SmaxAnd next day one day leakage heat loss rate kloss。
8. as claimed in claim 7 including the wind power heating system call device of heat accumulation, which is characterized in that described in a few days to roll
The power constraint of the electric heater unit of planned dispatching model are as follows:
Wherein, Peh,tFor in a few days rolling planning electric power；Peh,maxFor the maximum value of in a few days rolling planning electric power, t0For institute
State the initial time of the subsequent time period of preset time period, N0For the Period Length of the subsequent time period of the preset time period；
The quantity of heat storage of the heat-storing device of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
In formula,For the electric heating system thermic load power prediction value of the subsequent time period；For the future time
The electric heating system of section leaks heat loss power prediction value；For from t=0 moment original state S0Run to moment t=t0Moment
When, the quantity of heat storage of electric heating system, calculating is shown below
In formula,Respectively t=t0The practical electric power of moment foregoing description electricity heating system, reality
Border thermic load power and actual heating load wasted power；
The electricity consumption of the in a few days rolling planning scheduling model constrains are as follows:
Wherein,
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