CN110110409A - A kind of electric heat accumulation load modeling method based on distribution scheduling - Google Patents
A kind of electric heat accumulation load modeling method based on distribution scheduling Download PDFInfo
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Abstract
The present invention relates to a kind of electric heat accumulation load modeling methods based on distribution scheduling, belong to electric heat accumulation field.Comprise the following steps: electric load, thermic load relevant parameter are sought in step 1 acquisition；Step 2 establishes heat-storage medium heat Calculation model；Step 3, which is established, to be flowed into, flows out heat storage can heat Calculation model；Step 4 establishes the electric heat accumulation load model of coupled thermomechanics；Step 5 establishes the distribution scheduling multi-objective Model of electric heat accumulation load；Step 6 solves above-mentioned multiple objective function model using particle swarm algorithm.The present invention, which is capable of providing a kind of control the progress multiple objective function modeling of electric heat accumulation load, enables electric heat accumulation load be conducive to the implementation that distribution is dispatched.The scheduling of power grid distribution is participated in for electric heat accumulation load, and technical basis and practical method are provided.
Description
Technical field
The present invention relates to a kind of electric heat accumulation load modeling method, in particular to a kind of multiple target electricity storage for considering distribution scheduling
Thermic load modeling method belongs to electric heat accumulation field.
Background technique
Electric boiler is also referred to as electrically heated boiler, boilers heated electrically, it be by the energy of electric power and convert it into as thermal energy, thus
It is converted by boiler, exports the boiler plant of the steam with certain thermal energy, high-temperature water or organic heat carrier outward.Electric boiler point
For directly-heated type electric boiler and two kinds of heat storage electric boiler, heat storage electric boiler is to be encouraged according to power department in low-valley interval electricity consumption
Heating, and the policy for the electricity price that enjoys privileges, a kind of novel, high-efficiency energy-saved electric-heating product of release.Heat storage electric boiler is equipped with
Hot water storage tank and auxiliary device constitute heat storage electric boiler system, using the hot water heating in hot water storage tank, from reaching complete
Portion is using the mesh of valley power or part valley power.
Heat storage electric boiler and valley power consumption be it is closely coupled, the pure boilers heated electrically of no accumulation of heat does not have vitality and competing
Strive power.Because thermic load peak is often electric load peak, and the underload rate of peak load, peak electricity tariff and power grid masks
All advantages of boilers heated electrically, all have no attraction to electric power enterprise and power consumer.So-called heat-storage electric heating boiler is exactly in electricity
Hot water storage tank (necessarily being in good keeping warm mode) is installed additional on the basis of heat boiler, forms thermal energy exchange, a stocking system,
By forced circulation or Natural Circulation, by the hot water circuit in electric boiler into hot water storage tank, make cold water in hot water storage tank by
Hot water is faded to, the storage of thermal energy is completed.Heat-storage electric heating boiler is mainly started in power grid underload, and the heat of generation stores
It being stored in energy storage water tank or pond, when flat peak, gives a small amount of supplement, and when power grid peak stops transport, and with energy storage equipment heat supply to electric power
Rate of load condensate is improved for department, reduces electric cost expenditure for a user, and all advantages of boilers heated electrically are all able to abundant body
It is existing.How operation of power networks feature is combined, Collaborative Control is carried out to this load, is asking of needing further to research and solve
Topic.
Electric boiler water hold over system refers to during electric power low ebb, and the heat storage that electric boiler generates exists using water as medium
In regenerative apparatus, it is supplied to the system of heating equipment in due course.In this way grill pan can not be opened or opened less in the peak of power consumption period
Furnace plays the role of peak load shifting to reduce peak period electricity consumption.Electric boiler water hold over system is from constituting for upper only
Increase a set of water heat accumulation apparatus on the basis of conventional boilers heated electrically system, other each sections in structure with conventional heat sources system
System has no difference, it is also almost the same with conventional heating system in terms of use scope.
Heat storage electric boiler is mainly run in the night dip period, carries out accumulation of heat while meeting basis heating.Therefore,
The operation of heat storage electric boiler is divided into 2 stages: first is that in low-valley interval, heat storage electric boiler puts into operation, the heat of generation
A part meets directly to user's heat supply and uses heat demand substantially, and the water in another part heat storage device stores heat, meets
The heat demand of non-low-valley interval；Second is that in non-low-valley interval, electric boiler is out of service, using the hot water in storage heater to user
Heat supply.Therefore, it is considered that regenerative load can participate in dispatching of power netwoks, electric boiler installation power remote controllers are meeting accumulation of heat requirement
In the case where using dispatching of power netwoks target as its change according to participate in peak load regulation network tune paddy.
The trough-electricity period in the evening, using which kind of mode operation need to depending on load condition depending on.Grill pan is used under normal circumstances
Furnace list accumulation of heat mode or the heat supply mode in accumulation of heat.But night load should be controlled, otherwise excessive night load can shadow
Acoustic system amount of stored heat may cause the excessive operation of second day electric boiler and increase operating cost.
The combined heat mode that daytime uses hot water storage tank preferential guarantees accumulation of heat using hot water storage tank constant speed exotherm
Water tank uniformly releases heat, while section uses up water tank heat between ensuring at work.When calculating the constant speed thermal discharge of water tank,
Need to consider electric boiler keeps away peak potential period operation, this period hot water storage tank answers full dose heat supply (i.e. hot water storage tank list heat supply mode),
To reduce the operating cost of electric boiler to the greatest extent.
According to the thermal discharge of water tank out temperature and flow rate calculation water tank, when the import and export temperature and stream of heat exchanger
It is close to measure calculated heating load, then system is switched to hot water storage tank list heat supply mode.It is transported in hot water storage tank with single heat supply mode
When row, when the leaving water temperature of heat exchanger is maintained at minimum temperature (50 DEG C), then system is switched to electric boiler and hot water storage tank again
Combined heat mode.
Carrying out multiple objective function modeling control to electric heat accumulation load the purpose of the present invention is to provide one kind enables electric heat accumulation negative
Lotus is conducive to the implementation of distribution scheduling.The scheduling of power grid distribution is participated in for electric heat accumulation load, and technical basis and practical method are provided.
Summary of the invention
Carrying out multiple objective function modeling control to electric heat accumulation load the purpose of the present invention is to provide one kind enables electric heat accumulation negative
Lotus is conducive to the implementation of distribution scheduling.The scheduling of power grid distribution is participated in for electric heat accumulation load, and technical basis and practical method are provided.
A kind of electric heat accumulation load modeling method based on distribution scheduling, comprising the following steps:
Electric load, thermic load relevant parameter are sought in step 1) acquisition；
Step 2) establishes the electric heat accumulation load model of coupled thermomechanics using the data being collected into step 1)；
(1) heat-storage medium heat Calculation model is established；
(2) heat-storage medium heat Calculation model is combined, is established and is flowed into, flows out heat storage can heat Calculation model；
(3) using flowing into, flowing out heat storage can heat Calculation model, the electric heat accumulation load model of coupled thermomechanics is established.
Step 3) considers the electric heat accumulation load model of coupled thermomechanics, and the distribution for establishing electric heat accumulation load dispatches multiple target mould
Type；
Step 4) solves above-mentioned multiple objective function model using particle swarm algorithm.
Electric load is sought in acquisition, thermic load relevant parameter refers to: heat-storage medium property relevant parameter, heat storage can size are related
Parameter, heat storage can temperature related parametric, heat storage can power-related parameter.
Compared with prior art, the invention has the benefit that
1. a kind of electric heat accumulation load modeling method based on distribution scheduling, can reduce the control difficulty of power grid.Heat storage type
Electric boiler load has the feature of random distribution in time, this is but also the difficulty to power grid control is aggravated.The present invention by pair
Electric heat accumulation load modeling is capable of providing a kind of electric heat accumulation load mathematical expression method for facilitating distribution scheduling.
2. this method is easy to implement.This method makes electric heat accumulation load have controllability, upper easy to implement from control；Meanwhile
Each function has ready-made algorithm or software, and control strategy is also easy to implement.
3. this method is convenient for raising economic power system.This method, which is capable of providing one kind, facilitates electric heat accumulation participation distribution scheduling
Electric heat accumulation load model, can be effectively reduced the peak-valley difference of network load by carrying out distribution scheduling to electric heat accumulation, improve electricity
The stability of operation is netted, reduces the operating cost of power grid to a certain extent, therefore the present invention can preferably improve the warp of power grid
Ji property.
Detailed description of the invention
Fig. 1 is that population solves flow chart；
Fig. 2 is the electric heat accumulation load modeling method flow diagram based on distribution scheduling；
Fig. 3 electricity heat accumulation installs the daily load curve of front and back additional.
Specific embodiment
Further details of the technical solution of the present invention by 1-3 with reference to the accompanying drawing.
The basic thought of this electric heat accumulation load modeling method based on distribution scheduling proposed by the present invention is: by electricity
Heat accumulation principle and feature carry out summary, establish the electric heat accumulation load model of electro thermal coupling, are stored up based on above-mentioned model foundation electricity
The distribution scheduling model of thermic load is simultaneously solved with particle swarm algorithm, be can aid in electric heat accumulation load using this method and is participated in
Power distribution network scheduling, to reduce load peak-valley difference, improves the stability of operation of power networks.
The technical solution that the present invention provides is: utilizing heat storage can, the relevant parameters such as heat-storage medium establish heat-storage medium heat
Computation model, inflow, outflow heat storage can heat Calculation model, electric heat accumulation load model of coupled thermomechanics etc., consider above-mentioned model,
The distribution for establishing electric heat accumulation load dispatches multi-objective Model, and is solved with particle swarm algorithm, finally obtains based on distribution tune
The electric car thermic load modeling method of degree.
As shown in Figure 1, Figure 2, Figure 3 shows, a kind of electric heat accumulation load modeling method based on distribution scheduling, comprising the following steps:
Its main feature is that the following steps are included:
Electric load, thermic load relevant parameter are sought in step 1) acquisition；
Step 2) establishes the electric heat accumulation load model of coupled thermomechanics using the data being collected into step 1)；
(1) heat-storage medium heat Calculation model is established；
(2) heat-storage medium heat Calculation model is combined, is established and is flowed into, flows out heat storage can heat Calculation model；
(3) using flowing into, flowing out heat storage can heat Calculation model, the electric heat accumulation load model of coupled thermomechanics is established.
Step 3) considers the electric heat accumulation load model of coupled thermomechanics, and the distribution for establishing electric heat accumulation load dispatches multiple target mould
Type；
Step 4) solves above-mentioned multiple objective function model using particle swarm algorithm.
Electric load is sought in acquisition, thermic load relevant parameter refers to: heat-storage medium property relevant parameter, heat storage can size are related
Parameter, heat storage can temperature related parametric, heat storage can power-related parameter etc..
The heat-storage medium heat Calculation model refers to:
Qt=C ρ Sh Δ Tt
The quality of heat-storage medium and the volume of heat-accumulator tank are closely related.It is assumed that heat-accumulator tank is regular shape, if heat-accumulator tank
Floor space is S, and water level height is h in t moment heat-accumulator tank, and the equivalent temperature of water is T in t moment heat-accumulator tankt, reference
Temperature is T0, then have:
Mt=ρ Sh
Δ T=Tt-T0
In conjunction with law of thermodynamics calculating formula:
Qt=C × Mt×ΔT
It can obtain:
Qt=C ρ Sh Δ T
It is assumed that coolant-temperature gage is distributed by gradient profile in heat-accumulator tank, sensor is followed successively by T from top to bottomt 1、Tt 2、Tt 3、Tt n, on
Formula is variable are as follows:
It can be obtained after arrangement:
Define the equivalent temperature of water in t moment heat-accumulator tank:
Obtain heat-storage medium heat Calculation model:
Qt=C ρ Sh Δ Tt
In above-mentioned formula
Q: heat-accumulator tank regenerative load is represented；C: the specific heat of heat storage medium is represented；M: the quality of heat storage medium is represented；Δ T: generation
The temperature difference that table causes thermic load to change；T: certain time period is represented.
The relating to parameters such as regenerative load and medium specific heat, density, volume, wherein medium level can be surveyed, and equivalent temperature is controllable.
Boilers heated electrically control system formally passes through control equivalent temperature, the control of Lai Shixian regenerative load.
The foundation flows into, outflow heat storage can heat Calculation model refers to:
In which it is assumed that the flow in t moment heat-accumulator tank inlet and outflux is respectively Gin(t)、Gin(t)Unit is generally pressed
Kg/h, water velocity are respectively vin(t)、vout(t), pipe diameter is respectively Din、Dout。
A. the maximum amount of stored heat of heat-accumulator tank
Due to the specific heat of water in heat-accumulator tank, density, floor space does not change in heat accumulation and heat supplying process, therefore, according to,
Water level reaches maximum value in heat-accumulator tank, calculates water temperature in heat-accumulator tank and reaches maximum value, i.e.,
Qmax=C ρ Shmax·(Tmax-T0)
Wherein,
hmax: water level height when water fills with device in heat-accumulator tank；
Tmax: all hot water of water and temperature value when each layer temperature is unanimously maximum value in heat-accumulator tank.
B. the heating power of heat-accumulator tank
According to the calculating formula of power and energy
Pt=Q
Wherein:
P: the heating power of heat-accumulator tank
T: the heating power of heat-accumulator tank exports the period
Q: the heating demand of heat-accumulator tank
Heating power P of the heat-accumulator tank in the t periodg(t)It can be calculated by following formula
Pg(t)Δ t=Qout(t)-Qin(t)
The computation model established between load power and heat refers to:
According to the relational expression of flow rate of hot water and flow:
Flow rate of hot water and the relational expression of flow are substituted into inflow, outflow heat storage can heat Calculation model respectively, obtained:
In above-mentioned model, control variable is the equivalent temperature of heat-accumulator tank, the flow of heat-accumulator tank inlet and outflux, state
Variable is the heating power of heat-accumulator tank, heating demand, the heat accumulation power of heat-accumulator tank；Heat supply temperature is by operations staff according to user's need
Setting is asked, the volume of heat-accumulator tank water can be obtained by at-once monitor system, remaining is constant.
The multiple objective function of the distribution scheduling multi-objective Model of electric heat accumulation load refers to:
The effect that load peak load shifting is characterized with load criterion difference can more intuitively reflect the consistent level of load, together
When load criterion difference it is smaller, the gap between peak valley is also smaller, so that function caused by renewable energy power generation can be measured by reaching
Rate fluctuation, the purpose of peak load shifting.
Following formulae express can be used in objective function:
PDt=PLoadt+PRt
Wherein:
Nt: the load sampling period is sampled by one day 96 point load herein；
PDt: the phasor form of the load of t moment, PDt=[PD1,PD2,PD3...PD96]；
PLoad: conventional load t moment load value；
PR: electric heat accumulation load t moment load；
Pavt: the average load of t moment；
The target of optimization is to consider various influence factors, the duty value curve after being optimized.It is all kinds of for controlling variable
Controllable burden.
(2) optimize Load Regulation cost, reduce distribution operating cost
Wherein:
PRi: i-th of heat accumulation or heat release power；
fR: the cost function of heat accumulation and heat release power.
(3) distribution network trend is adjusted, via net loss is reduced
By load cooperative scheduling, it can control the multi-period trend distribution of power grid, reduce via net loss, improve power transmission and transformation
Utilization rate.Objectives function is described as follows:
Wherein:
PL: the active power of distribution branch；
QL: the reactive power of distribution branch；
KLi: the switch state variable of branch i, 0 indicates that switch disconnects, and 1 indicates to close the switch；
Ri: the resistance of branch i；
Vi: the voltage of branch i；
(4) integrated objective function:
MinF=λ1f1(PD)+λ2f2(PR)+λ3f3(PL,QL)
Wherein:
λ1,λ2,λ3: the weighting coefficient between each objective function；In actual use depending on the demand of foundation system.When
In preceding system, market environment and market mechanism are it is still necessary to perfect, and under normal condition, first item and third item scalar functions can be used.
The constraint condition of the distribution scheduling multi-objective Model of electric heat accumulation load refers to:
From the perspective of system, electric boiler load can be analyzed to conventional heating demand and adjustable regenerative load.Often
Load is advised depending on power demand, regenerative load can flexibly be adjusted according to the control of the electric boiler method of operation.No matter
Which kind of operation control model thermal storage electric boiler takes, and core is all the control of the adjusting strategy and accumulation of heat law of heat release of regenerative capacity
System establishes such as drag thermal storage electric boiler deferrable load model in scheduling:
Regenerative capacity constraint:
Qw min≤Qw(t)≤Qw max
Qw max=C ρ Shmax·(Tmax-T0)
Accumulation of heat Constraints of Equilibrium:
Qw(t)=Qw(t-1)+Qin(t-1)-Qout(t-1)
The accumulation of heat of unit time period maximum and heat supply capacity-constrained:
Qin min≤Qin(t)≤Qin max
0≤Qout(t)≤Qout max
Wherein:
Qw(t): the thermal power of t period heat-accumulator tank storage, and relating to parameters such as medium specific heat, density, volume, the temperature difference, wherein
Medium level can be surveyed, and equivalent temperature is controllable；I.e. initial amount of stored heat can be calculated；
Qin(t): the accumulation of heat power of t period heat-accumulator tank is temperature dependent with flow of inlet water, and flow is controllable, and temperature can be set；
Qout(t): the heating power of t period heat-accumulator tank is temperature dependent with water flow, and flow is controllable, and temperature can be set；
hmax: water level height when water fills with device in heat-accumulator tank；
Tmax: all hot water of water and temperature value when each layer temperature is unanimously maximum value in heat-accumulator tank；
vin(t)、vout(t): the water velocity of inflow and outflow；
Din、Dout: the diameter of inflow and outflow pipe；
T0: initial coolant-temperature gage；
C: the specific heat of heat storage medium is represented；
ρ: the density of medium；
Accumulation of heat or heat release capacity adjustment number limitation:
Wherein:
λQin: the adjustment number that accumulation of heat power allows in heat-accumulating process；
λQout: the adjustment number that heat release power allows in exothermic process；
Being scheduled optimization calculating using particle swarm algorithm, steps are as follows:
(1) integrated objective function value is calculated under the conditions of initial load；
(2) according to heat accumulation constrained parameters, one group of initial parameter vector is obtained；
(3) particle group (population size is adjustment equipment set variable number) is initialized, obtains one group of primary, i.e.,
Initial solution；
(4) fitness for calculating each particle, that is, be directed to every kind of compensation situation, carries out Load flow calculation and constraint condition meets
Property calculate, and according to calculated result calculating target function value；
(5) p is updated according to fitnessbest、gbest, particle position speed is updated, obtains new particle group to get to one
The new idle control set of group；
(6) if reaching maximum number of iterations or target function value satisfaction optimization requirement, optimum results are calculated in stopping, no
Then repeat step (5).
Fig. 2 is overview flow chart, is consistent with above-mentioned calculating step, it is worth noting that can from the process in figure
This method proposes to be scheduling to the multiple objective function of one of target in favor of distribution out, is and the difference of other method essence place.
Fig. 3 is remaining period of 8h heat accumulation exothermic variation diagram, wherein drawn high when load valley to 26.5MW or so, load
Peak is also cut down accordingly, and electrothermal load therein is compressed in peak period, realizes the even running of load, accordingly
Heat-storing device can satisfy corresponding management and running with battery capacity.
It is that the heat accumulation operation obtained by Optimal Operation Model arranges below, heat-storing device traffic control should follow following original
Then.Power distribution network next day load condition is predicted first, and generally since 0 point is electricity at 0 there are power grid low-valley interval after midnight
Heat-storing device, at this point, electric heat accumulation and battery increase power load, should draw high low ebb load, make full use of low without capacity at heat supply
Electric heating demand is cut down in paddy electricity valence, the uniform heat release of heat-storing device after 6 points in the daytime, and simultaneously battery energy storage is in peak period
Electric energy is provided, and heat-storing device combined dispatching is cooperated to run.
Claims (8)
1. a kind of electric heat accumulation load modeling method based on distribution scheduling, which is characterized in that utilize heat storage can, heat-storage medium is related
It is negative to establish heat-storage medium heat Calculation model, inflow, outflow heat storage can heat Calculation model, the electric heat accumulation of coupled thermomechanics for parameter
Lotus model etc. considers above-mentioned model, and the distribution for establishing electric heat accumulation load dispatches multi-objective Model, and is asked with particle swarm algorithm
Solution finally obtains the electrothermal load modeling method based on distribution scheduling；The following steps are included:
Step 1) obtains electric load, thermic load associated parameter data；
Step 2) establishes the electric heat accumulation load model of coupled thermomechanics using the data being collected into step 1)；
(1) heat-storage medium heat Calculation model is established；
(2) heat-storage medium heat Calculation model is combined, is established and is flowed into, flows out heat storage can heat Calculation model；
(3) using flowing into, flowing out heat storage can heat Calculation model, the electric heat accumulation load model of coupled thermomechanics is established；
Step 3) considers the electric heat accumulation load model of coupled thermomechanics, and the distribution for establishing electric heat accumulation load dispatches multi-objective Model；
Step 4) solves above-mentioned multiple objective function model using particle swarm algorithm.
2. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, which is characterized in that obtain
Electric load, thermic load relevant parameter refer to: heat-storage medium property relevant parameter, heat storage can size relevant parameter, heat storage can temperature
Relevant parameter, heat storage can power-related parameter.
3. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: described
Heat-storage medium heat Calculation model refer to:
Qt=C ρ Sh Δ Tt
In above-mentioned formula
Q: heat-accumulator tank regenerative load is represented；C: the specific heat of heat storage medium is represented；M: the quality of heat storage medium is represented；Δ T: representative is led
The temperature difference of pyrogenicity load variations；T: certain time period is represented；
Regenerative load is related with medium specific heat, density, volume parameter, and wherein medium level can be surveyed, and equivalent temperature is controllable, electric food warmer
Furnace control system formally passes through control equivalent temperature, the control of Lai Shixian regenerative load.
4. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: described
Foundation flow into, outflow heat storage can heat Calculation model refer to:
In which it is assumed that the flow in t moment heat-accumulator tank inlet and outflux is respectively Gin(t)、Gin(t)Unit generally presses Kg/h,
Water velocity is respectively vin(t)、vout(t), pipe diameter is respectively Din、Dout。
5. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: establish
Computation model between load power and heat refers to:
In above-mentioned model, control variable is the equivalent temperature of heat-accumulator tank, the flow of heat-accumulator tank inlet and outflux, state variable
For the heating power of heat-accumulator tank, heating demand, the heat accumulation power of heat-accumulator tank；Heat supply temperature is set by operations staff according to user demand
Fixed, the volume of heat-accumulator tank water can be obtained by at-once monitor system, remaining is constant.
6. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: electricity storage
The multiple objective function of the distribution scheduling multi-objective Model of thermic load refers to:
(1) effect that load peak load shifting is characterized with load criterion difference can more intuitively reflect the consistent level of load, together
When load criterion difference it is smaller, the gap between peak valley is also smaller, so that function caused by renewable energy power generation can be measured by reaching
Rate fluctuation, the purpose of peak load shifting.
Following formulae express can be used in objective function:
PDt=PLoadt+PRt
Wherein:
Nt: the load sampling period is sampled by one day 96 point load herein；
PDt: the phasor form of the load of t moment, PDt=[PD1,PD2,PD3...PD96]；
PLoad: conventional load t moment load value；
PR: electric heat accumulation load t moment load；
Pavt: the average load of t moment；
The target of optimization is to consider various influence factors, the duty value curve after being optimized；Control variable is all kinds of controllable
Load；
(2) optimize Load Regulation cost, reduce distribution operating cost；
Wherein:
PRi: i-th of heat accumulation or heat release power；
fR: the cost function of heat accumulation and heat release power.
(3) distribution network trend is adjusted, via net loss is reduced；
By load cooperative scheduling, it can control the multi-period trend distribution of power grid, reduce via net loss, improve the benefit of power transmission and transformation
With rate；Objectives function is described as follows:
Wherein:
PL: the active power of distribution branch；
QL: the reactive power of distribution branch；
KLi: the switch state variable of branch i, 0 indicates that switch disconnects, and 1 indicates to close the switch；
Ri: the resistance of branch i；
Vi: the voltage of branch i；
(4) integrated objective function:
MinF=λ1f1(PD)+λ2f2(PR)+λ3f3(PL,QL)
Wherein:
λ1,λ2,λ3: the weighting coefficient between each objective function；In actual use depending on the demand of foundation system.
7. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: electricity storage
The constraint condition of the distribution scheduling multi-objective Model of thermic load refers to:
From the perspective of system, electric boiler load can be analyzed to conventional heating demand and adjustable regenerative load.It is conventional negative
Depending on power demand, regenerative load can flexibly be adjusted lotus according to the control of the electric boiler method of operation；No matter accumulation of heat
Which kind of operation control model electric boiler takes, and core is all the control of the adjusting strategy and accumulation of heat law of heat release of regenerative capacity,
In scheduling, such as drag thermal storage electric boiler deferrable load model is established:
Regenerative capacity constraint:
Qw min≤Qw(t)≤Qw max
Qw max=C ρ Shmax·(Tmax-T0)
Accumulation of heat Constraints of Equilibrium:
Qw(t)=Qw(t-1)+Qin(t-1)-Qout(t-1)
The accumulation of heat of unit time period maximum and heat supply capacity-constrained:
Qin min≤Qin(t)≤Qin max
0≤Qout(t)≤Qout max
Wherein:
Qw(t): the thermal power of t period heat-accumulator tank storage, and relating to parameters such as medium specific heat, density, volume, the temperature difference, wherein medium
Height can be surveyed, and equivalent temperature is controllable；I.e. initial amount of stored heat can be calculated；
Qin(t): the accumulation of heat power of t period heat-accumulator tank is temperature dependent with flow of inlet water, and flow is controllable, and temperature can be set；
Qout(t): the heating power of t period heat-accumulator tank is temperature dependent with water flow, and flow is controllable, and temperature can be set；
hmax: water level height when water fills with device in heat-accumulator tank；
Tmax: all hot water of water and temperature value when each layer temperature is unanimously maximum value in heat-accumulator tank；
vin(t)、vout(t): the water velocity of inflow and outflow；
Din、Dout: the diameter of inflow and outflow pipe；
T0: initial coolant-temperature gage；
C: the specific heat of heat storage medium is represented；
ρ: the density of medium；
Accumulation of heat or heat release capacity adjustment number limitation:
Wherein:
λQin: the adjustment number that accumulation of heat power allows in heat-accumulating process；
λQout: the adjustment number that heat release power allows in exothermic process.
8. a kind of electric heat accumulation load modeling method based on distribution scheduling according to claim 1, it is characterised in that: use
Particle swarm algorithm is scheduled optimization calculating, and steps are as follows:
(1) integrated objective function value is calculated under the conditions of initial load；
(2) root heat accumulation obtains one group of initial parameter vector according to constrained parameters；
(3) particle group is initialized, one group of primary, i.e. initial solution are obtained；
(4) fitness for calculating each particle, that is, be directed to every kind of compensation situation, carries out Load flow calculation and constraint condition satisfaction property meter
It calculates, and according to calculated result calculating target function value；
(5) p is updated according to fitnessbest、gbest, particle position speed is updated, obtains new particle group to get new to one group
Idle control set；
(6) if reaching maximum number of iterations or target function value satisfaction optimization requirement, stop that optimum results are calculated, otherwise weigh
Multiple step (5).
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