CN110675049A - Economic dispatching method based on flexible platform area - Google Patents

Economic dispatching method based on flexible platform area Download PDF

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CN110675049A
CN110675049A CN201910890845.5A CN201910890845A CN110675049A CN 110675049 A CN110675049 A CN 110675049A CN 201910890845 A CN201910890845 A CN 201910890845A CN 110675049 A CN110675049 A CN 110675049A
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energy storage
transformer
storage device
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CN110675049B (en
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沈培锋
谭瑾
刘强
刘国峰
朱晔
徐广开
孙国强
吕思
武迪
陈璐瑶
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State Grid Jiangsu Electric Power Co Ltd
Hohai University HHU
Nanjing Power Supply Co of Jiangsu Electric Power Co
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Hohai University HHU
Nanjing Power Supply Co of Jiangsu Electric Power Co
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    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

The invention discloses an economic dispatching method based on a flexible transformer area, which adopts a current transformer and an energy storage device to transfer loads between transformer areas and specifically comprises the following steps: s1, setting an objective function of economic dispatching, wherein the purpose of the economic dispatching is to balance the load rate of the transformer area, reduce the cost of energy storage and electricity purchase and reduce the heavy load rate of the transformer area; s2, constructing power models of the transformer, the current transformer and the energy storage device in the transformer area; s3, setting constraint conditions which are based on the power model and run according with actual working conditions; s4, inputting various parameters of the flexible platform area; and S5, solving an economic dispatching result, wherein the economic dispatching result comprises a day-ahead power plan of the transformer, the current transformer and the energy storage device. The invention adopts the converter and the energy storage device to transfer the load among the transformer areas, realizes the complete balance of the load rate of the transformer areas, reduces the operation cost and the electricity purchasing cost and reduces the heavy load rate of the transformer areas.

Description

Economic dispatching method based on flexible platform area
Technical Field
The invention belongs to the field of power transmission, and particularly relates to an economic dispatching method based on a flexible transformer area.
Background
With the development of power electronic technology and the wide application of the current transformer, the transformer can form interconnection among all the transformer areas to form a flexible transformer area. Within the flexible platform area, the power of each platform area can be transmitted and controlled through the bus.
At present, because the scale of the electric automobile is gradually increased, more researches on the optimization scheduling of the electric automobile are considered, the scheduling of the electric automobile is mostly considered based on a user side, and the fluctuation of the load on the power grid side is reduced through delayed charging or ordered charging; or the V2G technology is adopted, the electric automobile is regarded as an energy storage, and short-time energy feedback is carried out on the power grid side. However, due to the limitation of application scenarios, these scheduling methods are not fully applicable to the environment of flexible zones. Meanwhile, under the background that the electric vehicle is more and more popular in fast charging, when the electric vehicle is connected to a fast charging station, the electric vehicle should be treated as a type of load, and the load is heavier.
Disclosure of Invention
The invention aims to provide an economic dispatching method based on a flexible platform area aiming at the problems and the defects, and the method adopts a current transformer and an energy storage device to transfer loads among the platform areas, so that the complete balance of the platform area load rate is realized, the running cost and the electricity purchasing cost are reduced, and the platform area heavy load rate is reduced.
In order to achieve the purpose, the invention adopts the technical scheme that: an economic dispatching method based on a flexible transformer area adopts a current transformer and an energy storage device to transfer load between transformer areas, and specifically comprises the following steps:
s1, setting an objective function of economic dispatching, wherein the purpose of the economic dispatching is to balance the load rate of the transformer area, reduce the cost of energy storage and electricity purchase and reduce the heavy load rate of the transformer area;
s2, constructing power models of the transformer, the current transformer and the energy storage device in the transformer area;
s3, setting constraint conditions which are based on the power model and run according with actual working conditions;
s4, inputting various parameters of the flexible platform area;
and S5, solving an economic dispatching result, wherein the economic dispatching result comprises a day-ahead power plan of the transformer, the current transformer and the energy storage device.
Further, in step S1, the objective function is:
C＝min(Cd+Cess+Cpeak) (1)
in the formula, CdIs the degree of unbalance of load factor of transformer in transformer area, CessFor energy storage and electricity purchase charge, CpeakThe transformer load rate is the heavy load degree of the transformer in the transformer area;
wherein, the transformer load factor of the transformer in the transformer area is unbalanced CdThe method specifically comprises the following steps:
Figure BDA0002208707130000021
Figure BDA0002208707130000022
Ln,t＝Ptr,n,t/Ca,n(4)
in the formula, cdIs a coefficient of deviation, dtThe actual deviation value at the time t is shown; l isn,tFor the load factor of the nth zone transformer at time t,
Figure BDA0002208707130000023
the average value of the load rates of n transformer areas at the time t is obtained; ptr,n,tFor the nth transformer load at time t, Ca,nThe capacity of the nth transformer;
energy storage electricity purchase fee CessThe method specifically comprises the following steps:
Figure BDA0002208707130000024
in the formula, cess,tElectricity price at time t, Pess,tThe charging and discharging power of the energy storage device at the time t, when the energy storage device is charged, Pess,tPositive value, P, when the energy storage device is dischargedess,tIs a negative value;
transformer load factor heavy load degree C of transformer areapeakThe method specifically comprises the following steps:
in the formula, cex1And cex2Is the load factor, p1For optimum load factor, p2Is a reference value of the overload rate, Ln,tThe load factor of the nth transformer at the moment t; when L isn,t>p1When c is greater thanex1Is constant, otherwise c ex10; when L isn,t>p2When c is greater thanex2Is constant, otherwise cex2＝0。
Further, the specific process of step S2 is as follows:
a. constructing a power model of the transformer area:
Ptr,n＝Pcity,n+Pac,n+Pvsc,n(7)
in the formula, Ptr,nFor nth transformer load, Pcity,nLoad of residents in the nth cell, Pac,nFor the n-th district electric automobile AC electric load, Pvsc,nFor the nth zone converter power, Pvsc,nThe positive value indicates that the power is transmitted from the transformer to the direct current bus, namely the positive power transmission; pvsc,nThe negative value indicates that the power is transmitted to the transformer from the direct current bus, namely the reverse power transmission is performed;
b. constructing a power model of the transformer area:
Figure BDA0002208707130000032
in the formula (I), the compound is shown in the specification,
Figure BDA0002208707130000033
total power of n district converters, PevFor the DC electrical load of an electric vehicle, PessThe energy storage power of the energy storage device;
c. constructing a power model of the energy storage device:
Figure BDA0002208707130000041
wherein T is a discretization variable of time T, S (T) is the power of the energy storage device at the time T, and S (T-1) is the power of the energy storage device at the time T-1; etaCEfficiency of charging the energy storage device, ηDDischarging power to the energy storage device; i isCFor the charging state of the energy storage device, when the energy storage device is charged, ICIs 1; i isDIn the discharge state of the energy storage device, when the energy storage device is discharged, IDIs 1; pess,CCharging power of energy storage device, Pess,DDischarge power for energy storage devices, Pess,CAnd Pess,DAre all positive values; Δ t is the time scale, CcapIs the energy storage device capacity; s (1) is the power of the energy storage device at the initial moment, S (T)max) The power of the energy storage device at the last moment.
Further, in step S3, the constraint condition includes:
1) setting a constraint condition of the transformer load rate of the transformer area:
Ln,t≤Ln,max(11)
in the formula, Ln,tFor the nth transformer load rate at time t, Ln,maxIs the overload critical value of the nth transformer;
2) setting a constraint condition of the power of the transformer in the transformer area:
Pvsc,min≤Pvsc,n≤Pvsc,max(12)
in the formula, Pvsc,nFor the power of the nth zone converter, Pvsc,minAnd Pvsc,maxMaximum values of reverse and forward transmission converter power respectively;
3) setting constraint conditions of the energy storage device:
ID+IC∈(0,1) (13)
Smin≤S(T)≤Smax(14)
Figure BDA0002208707130000051
Figure BDA0002208707130000052
0≤Pess,C≤Pess,Cmax(17)
0≤Pess,D≤Pess,Dmax(18)
in the formula ICFor the charging state of the energy storage device, IDIs in the energy storage device discharge state; s (T) is the power of the energy storage device at the moment T, SminAnd SmaxRespectively representing a minimum allowable value and a maximum allowable value of the power of the energy storage device; i isD,tIs the discharge state of the energy storage device at time t, ID,t+1The energy storage device discharge state at time t +1,
Figure BDA0002208707130000053
number of switching times for discharging to charging of energy storage device, CopTo limit the number of handovers;number of switching times for charging to discharging of energy storage device, CopTo limit the number of handovers; pess,CCharging power of energy storage device, Pess,CmaxCharging the energy storage device to a maximum allowable power value; pess,DDischarge power for energy storage devices, Pess,DmaxThe maximum allowable value of the discharge power of the energy storage device is obtained.
Further, in step S4, the parameters of the flexible platform area include:
residential electricity load P of n transformer areas with time length of one daycity,n,tN stations of one day in time length, and electric load P for alternating current of electric vehicleac,n,tElectric automobile direct current user load P with time length of one dayev,t；
Transformer capacity C of transformer areaa,nOverload critical value L of n transformer areasn,max；
Maximum value P of reverse and forward power transmission of transformer in transformer areavsc,minAnd Pvsc,max；
Capacity of energy storage device CcapCharging efficiency eta of energy storage deviceCDischarge efficiency eta of energy storage deviceDEnergy storage device limiting switching times CopThe maximum allowable value P of the charging power of the energy storage deviceess,CmaxThe maximum allowable value P of the discharge power of the energy storage deviceess,Dmax；
And weight coefficients in the objective function, including the deviation coefficient cdTime of day electricity price cess,tHeavy load coefficient cex1And cex2。
The invention has the beneficial effects that: the invention provides an economic dispatching method, which is characterized in that a current transformer and an energy storage device are adopted to transfer inter-platform load, so that the existing equipment in a flexible platform area can cooperatively operate, the fast charging load of a large-scale accessed electric automobile can be better dealt with, and the problem of platform area economic operation under the access of a modular electric automobile is solved; meanwhile, the energy storage device is used for peak clipping and valley filling, the energy storage device discharges to reduce the load rate of the transformer in the peak period, and the energy storage device charges in the low peak period, so that the transformer area is ensured to operate under safe and economic working conditions, the load rate between the transformer areas is completely balanced, the energy storage and electricity purchasing cost is reduced, and the heavy load rate of the transformer area is reduced.
Drawings
FIG. 1 is a flow chart of an economic dispatch method based on a flexible platform area according to the present invention;
FIG. 2 is a graph showing the load of each residential area;
FIG. 3 is an AC/DC load curve of the electric vehicle;
FIG. 4 is a transformer load curve of each distribution area after scheduling;
fig. 5 is a power plan for an energy storage device day ahead.
Detailed Description
In order to make the content of the invention clearer, the following detailed description of the embodiments of the invention is made with reference to the accompanying drawings. It should be noted that for the sake of clarity, the figures and the description omit representation and description of parts known to those skilled in the art that are not relevant to the inventive concept.
The invention provides an economic dispatching method based on a flexible platform area, which adopts a current transformer and an energy storage device to transfer loads between the platform areas as shown in figure 1, and specifically comprises the following steps:
s1, setting an objective function of economic dispatching, wherein the purpose of the economic dispatching is to balance the load rate of the transformer area, reduce the cost of energy storage and electricity purchase and reduce the heavy load rate of the transformer area;
s2, constructing power models of the transformer, the current transformer and the energy storage device in the transformer area;
s3, setting constraint conditions which are based on the power model and run according with actual working conditions;
s4, inputting various parameters of the flexible platform area;
and S5, solving an economic dispatching result, wherein the economic dispatching result comprises a day-ahead power plan of the transformer, the current transformer and the energy storage device.
In step S1, the objective function is:
C＝min(Cd+Cess+Cpeak) (1)
in the formula, CdIs the degree of unbalance of load factor of transformer in transformer area, CessFor energy storage and electricity purchase charge, CpeakThe transformer load rate is the heavy load degree of the transformer in the transformer area;
wherein, the transformer load factor of the transformer in the transformer area is unbalanced CdThe method specifically comprises the following steps:
Figure BDA0002208707130000071
Figure BDA0002208707130000072
Ln,t＝Ptr,n,t/Ca,n(4)
in the formula, cdIs a coefficient of deviation, dtThe actual deviation value at the time t is shown; l isn,tFor the load factor of the nth zone transformer at time t,
Figure BDA0002208707130000073
the average value of the load rates of n transformer areas at the time t is obtained; ptr,n,tFor the nth transformer load at time t, Ca,nThe capacity of the nth transformer.
Load rate unbalance degree C of transformer in transformer areadThe significance of is that: the transformer load rates of all the transformer areas after scheduling are balanced, namely the transformer load rates of high-load transformer areas are transferred to the transformer load rates of low-load transformer areas, and the transformer load rates of the high-load transformer areas can be reduced. As long as the load rates of the distribution areas are unbalanced, the actual deviation value dtWill be greater than zero; therefore, after scheduling, the optimal condition is that the load rates of all the distribution areas are completely balanced, and no deviation exists; if the station area is not balancedThe situation is very serious, the full load of the converter cannot reach the balanced situation of the transformer area, at the moment, the energy storage device can play a role in peak clipping or valley filling, and the load rate of the transformer area is effectively reduced.
Energy storage electricity purchase fee CessThe method specifically comprises the following steps:
Figure BDA0002208707130000081
in the formula, cess,tElectricity price at time t, Pess,tThe charging and discharging power of the energy storage device at the time t, when the energy storage device is charged, Pess,tPositive value, P, when the energy storage device is dischargedess,tIs negative.
Energy storage electricity purchase fee CessThe significance of is that: for the area adopting the time-of-use electricity price, after the dispatching, the energy storage device can be charged at the valley electricity price and discharged at the peak electricity price, and the final cost can be negative, so that a certain profit can be generated, and the economic effect of the dispatching is improved.
Transformer load factor heavy load degree C of transformer areapeakThe method specifically comprises the following steps:
in the formula, cex1And cex2Is the load factor, p1For optimum load factor, p2Is a reference value of the overload rate, Ln,tThe load factor of the nth transformer at the moment t; when L isn,t>p1When c is greater thanex1Is constant, otherwise c ex10; when L isn,t>p2When c is greater thanex2Is constant, otherwise cex2＝0。
Generally, each transformer has its fixed optimal operating range; when the optimal operation interval of a certain transformer is p0～p1The transformer should be operated in this load factor range as much as possible. However, when a reload condition occurs, to preferentially reduce the reload rate, the weight of the portion exceeding the reload rate, i.e., c, is increasedex2A value of greater than cex1To thereby solve firstThe problem of heavy load is solved, and then the problem of optimal operation is solved. Transformer load factor heavy load degree C of transformer areapeakThe significance lies in that: when a heavy load exists, the energy storage device is controlled to discharge in the heavy load time; when no heavy load exists, the discharge is carried out in a time period exceeding the optimal interval, so that the level of the load peak value of the transformer area is reduced.
The specific process of step S2 is as follows:
a. constructing a power model of the transformer area:
Ptr,n＝Pcity,n+Pac,n+Pvsc,n(7)
in the formula, Ptr,nFor nth transformer load, Pcity,nLoad of residents in the nth cell, Pac,nFor the n-th district electric automobile AC electric load, Pvsc,nFor the nth zone converter power, Pvsc,nThe positive value indicates that the power is transmitted from the transformer to the direct current bus, namely the positive power transmission; pvsc,nNegative values indicate that power is transferred from the dc bus to the transformer, i.e., reverse power transfer.
b. Constructing a power model of the transformer area:
Figure BDA0002208707130000091
in the formula (I), the compound is shown in the specification,
Figure BDA0002208707130000095
total power of n district converters, PevFor the DC electrical load of an electric vehicle, PessThe energy storage power of the energy storage device.
c. Constructing a power model of the energy storage device:
wherein T is a discretized variable of time T, S (T) isThe power of the energy storage device at the moment T, and S (T-1) is the power of the energy storage device at the moment T-1; etaCEfficiency of charging the energy storage device, ηDDischarging power to the energy storage device; i isCFor the charging state of the energy storage device, when the energy storage device is charged, ICIs 1; i isDIn the discharge state of the energy storage device, when the energy storage device is discharged, IDIs 1; pess,CCharging power of energy storage device, Pess,DDischarge power for energy storage devices, Pess,CAnd Pess,DAre all positive values; Δ t is the time scale, CcapIs the energy storage device capacity; s (1) is the power of the energy storage device at the initial moment, S (T)max) The power of the energy storage device at the last moment is the same as the power of the energy storage device at the initial moment.
In step S3, the constraint conditions include:
1) setting a constraint condition of transformer load rate of a transformer area, wherein the allowable load rate of the transformer should be less than a set value to prevent the transformer from overloading:
Ln,t≤Ln,max(11)
in the formula, Ln,tFor the nth transformer load rate at time t, Ln,maxIs the overload critical value of the nth transformer;
2) setting a constraint condition of the power of the transformer in the transformer area:
Pvsc,min≤Pvsc,n≤Pvsc,max(12)
in the formula, Pvsc,nFor the power of the nth zone converter, Pvsc,minAnd Pvsc,maxMaximum values of reverse and forward transmission converter power respectively;
3) setting constraint conditions of the energy storage device:
ID+IC∈(0,1) (13)
Smin≤S(T)≤Smax(14)
Figure BDA0002208707130000101
Figure BDA0002208707130000102
0≤Pess,C≤Pess,Cmax(17)
0≤Pess,D≤Pess,Dmax(18)
in the formula ICFor the charging state of the energy storage device, IDThe energy storage device is in a discharge state, and the energy storage device cannot be in a charge state and a discharge state at the same time, but can be in an idle state at the same time. S (T) is the power of the energy storage device at the moment T, SminAnd SmaxThe minimum allowable value and the maximum allowable value of the power of the energy storage device are respectively ensured, and the energy storage power is ensured to be kept in the interval. I isD,tIs the discharge state of the energy storage device at time t, ID,t+1The energy storage device discharge state at time t +1,
Figure BDA0002208707130000111
number of switching times for discharging to charging of energy storage device, CopTo limit the number of handovers;
Figure BDA0002208707130000112
number of switching times for charging to discharging of energy storage device, CopIn order to limit the switching times, the charging and discharging switching of the energy storage device for a limited time in one day is ensured. Pess,CCharging power of energy storage device, Pess,CmaxCharging the energy storage device to a maximum allowable power value; pess,DDischarge power for energy storage devices, Pess,DmaxThe maximum allowable value of the discharge power of the energy storage device is obtained.
In step S4, the parameters of the flexible platform area include:
residential electricity load P of n transformer areas with time length of one daycity,n,tN stations of one day in time length, and electric load P for alternating current of electric vehicleac,n,tElectric automobile direct current user load P with time length of one dayev,t；
Transformer capacity C of transformer areaa,nOverload critical value L of n transformer areasn,max；
Maximum value P of reverse and forward power transmission of transformer in transformer areavsc,minAnd Pvsc,max；
Capacity of energy storage device CcapCharging efficiency eta of energy storage deviceCDischarge efficiency eta of energy storage deviceDEnergy storage device limiting switching times CopThe maximum allowable value P of the charging power of the energy storage deviceess,CmaxThe maximum allowable value P of the discharge power of the energy storage deviceess,Dmax；
And weight coefficients in the objective function, including the deviation coefficient cdTime of day electricity price cess,tHeavy load coefficient cex1And cex2。
In step S5, a mixed integer linear programming model composed of an objective function, a power model, and constraint conditions is solved by CPLEX to obtain a day-ahead power plan of the transformer, the converter, and the energy storage device in the transformer area.
The advantage of the economic dispatch method of the present invention is illustrated by an embodiment.
Before dispatching, the AC electric load of the electric automobile is accessed to a t1 transformer area nearby, and the DC electric load of the electric automobile is accessed to a t2 transformer area nearby; comparing the scheduling before and after the scheduling, the superiority of the economic scheduling method is verified.
As is known, transformer capacities C of transformer blocks t1 and t2a,nTransformer capacity C of transformer t3 and t4 in 630kVAa,n800kVA, energy storage device capacity Ccap120kWh, energy storage device charge-discharge efficiency etaCAnd ηDAre all 0.98, the energy storage device limits the switching times Cop4, transformer overload threshold L n,max1, upper limit of energy storage power Pess,CmaxAnd Pess,Dmax120kW, the upper and lower limits P of the converter powervsc,minAnd Pvsc,maxRespectively 200kW and a load deviation coefficient cdIs 1, time of day electricity price cess,tSee Table 1, coefficient of overloading cex1And cex2Respectively 2 and 5. Residential load P of each districtcity,nThe curve is shown in figure 2, the AC/DC load curve of the electric automobile is shown in figure 3, wherein ac is AC load P of the electric automobileac,nCurve dc is the DC load P of the electric vehicleevCurve line.
Figure BDA0002208707130000121
TABLE 1
And solving the mixed integer linear programming model by using CPLEX to obtain the scheduling results of the figures 4 and 5. As shown in table 2, the results of comparison of the indexes before and after scheduling are shown.
Figure BDA0002208707130000122
Figure BDA0002208707130000131
TABLE 2
As can be seen from table 2, before scheduling, each station area has unbalanced load, and the load rate is too high during peak time, and the heavy load condition is severe. After scheduling, the load rate of the transformer area can be completely balanced, and the influence caused by imbalance is reduced to the maximum extent; meanwhile, the energy storage device is charged at the valley price and discharged at the peak price, so that the running cost and the electricity purchasing cost are greatly reduced; and the peak value of the load rate is also obviously reduced.
The above description is only intended to illustrate the embodiments of the present invention, and the description is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the inventive concept, and these changes and modifications are within the scope of the invention. Therefore, the protection scope of the invention should be subject to the appended claims.

Claims (5)

1. An economic dispatching method based on a flexible platform area is characterized in that: the method for transferring the load between the transformer areas by adopting the current transformer and the energy storage device specifically comprises the following steps:
s1, setting an objective function of economic dispatching, wherein the purpose of the economic dispatching is to balance the load rate of the transformer area, reduce the cost of energy storage and electricity purchase and reduce the heavy load rate of the transformer area;
s2, constructing power models of the transformer, the current transformer and the energy storage device in the transformer area;
s3, setting constraint conditions which are based on the power model and run according with actual working conditions;
s4, inputting various parameters of the flexible platform area;
and S5, solving an economic dispatching result, wherein the economic dispatching result comprises a day-ahead power plan of the transformer, the current transformer and the energy storage device.
2. The flexible platform zone-based economic dispatching method according to claim 1, wherein:
in step S1, the objective function is:
C＝min(Cd+Cess+Cpeak) (1)
in the formula, CdIs the degree of unbalance of load factor of transformer in transformer area, CessFor energy storage and electricity purchase charge, CpeakThe transformer load rate is the heavy load degree of the transformer in the transformer area;
wherein, the transformer load factor of the transformer in the transformer area is unbalanced CdThe method specifically comprises the following steps:
Figure FDA0002208707120000011
Figure FDA0002208707120000012
Ln,t＝Ptr,n,t/Ca,n(4)
in the formula, cdIs a coefficient of deviation, dtThe actual deviation value at the time t is shown; l isn,tFor the load factor of the nth zone transformer at time t,
Figure FDA0002208707120000013
the average value of the load rates of n transformer areas at the time t is obtained; ptr,n,tFor the nth transformer load at time t, Ca,nThe capacity of the nth transformer;
energy storage electricity purchase fee CessThe method specifically comprises the following steps:
in the formula, cess,tElectricity price at time t, Pess,tThe charging and discharging power of the energy storage device at the time t, when the energy storage device is charged, Pess,tPositive value, P, when the energy storage device is dischargedess,tIs a negative value;
transformer load factor heavy load degree C of transformer areapeakThe method specifically comprises the following steps:
Figure FDA0002208707120000022
in the formula, cex1And cex2Is the load factor, p1For optimum load factor, p2Is a reference value of the overload rate, Ln,tThe load factor of the nth transformer at the moment t; when L isn,t>p1When c is greater thanex1Is constant, otherwise cex10; when L isn,t>p2When c is greater thanex2Is constant, otherwise cex2＝0。
3. The flexible platform zone-based economic dispatching method according to claim 1, wherein:
the specific process of step S2 is as follows:
a. constructing a power model of the transformer area:
Ptr,n＝Pcity,n+Pac,n+Pvsc,n(7)
in the formula, Ptr,nFor nth transformer load, Pcity,nLoad of residents in the nth cell, Pac,nFor the n-th district electric automobile AC electric load, Pvsc,nFor the nth zone converter power, Pvsc,nThe positive value indicates that the power is transmitted from the transformer to the direct current bus, namely the positive power transmission; pvsc,nThe negative value indicates that the power is transmitted to the transformer from the direct current bus, namely the reverse power transmission is performed;
b. constructing a power model of the transformer area:
in the formula (I), the compound is shown in the specification,
Figure FDA0002208707120000032
total power of n district converters, PevFor the DC electrical load of an electric vehicle, PessThe energy storage power of the energy storage device;
c. constructing a power model of the energy storage device:
Figure FDA0002208707120000033
wherein T is a discretization variable of time T, S (T) is the power of the energy storage device at the time T, and S (T-1) is the power of the energy storage device at the time T-1; etaCEfficiency of charging the energy storage device, ηDDischarging power to the energy storage device; i isCFor the charging state of the energy storage device, when the energy storage device is charged, ICIs 1; i isDIn the discharge state of the energy storage device, when the energy storage device is discharged, IDIs 1; pess,CCharging power of energy storage device, Pess,DDischarge power for energy storage devices, Pess,CAnd Pess,DAre all positive values; Δ t is the time scale, CcapIs the energy storage device capacity; s (1) is the power of the energy storage device at the initial moment, S (T)max) The power of the energy storage device at the last moment.
4. The flexible platform zone-based economic dispatching method according to claim 1, wherein:
in step S3, the constraint conditions include:
1) setting a constraint condition of the transformer load rate of the transformer area:
Ln,t≤Ln,max(11)
in the formula, Ln,tFor the nth transformer load rate at time t, Ln,maxIs the overload critical value of the nth transformer;
2) setting a constraint condition of the power of the transformer in the transformer area:
Pvsc,min≤Pvsc,n≤Pvsc,max(12)
in the formula, Pvsc,nFor the power of the nth zone converter, Pvsc,minAnd Pvsc,maxMaximum values of reverse and forward transmission converter power respectively;
3) setting constraint conditions of the energy storage device:
ID+IC∈(0,1) (13)
Smin≤S(T)≤Smax(14)
Figure FDA0002208707120000041
0≤Pess,C≤Pess,Cmax(17)
0≤Pess,D≤Pess,Dmax(18)
in the formula ICFor the charging state of the energy storage device, IDIs in the energy storage device discharge state; s (T) is the power of the energy storage device at the moment T, SminAnd SmaxRespectively representing a minimum allowable value and a maximum allowable value of the power of the energy storage device; i isD,tIs the discharge state of the energy storage device at time t, ID,t+1The energy storage device discharge state at time t +1,number of switching times for discharging to charging of energy storage device, CopTo limit the number of handovers;number of switching times for charging to discharging of energy storage device, CopTo limit the number of handovers; pess,CCharging power of energy storage device, Pess,CmaxCharging the energy storage device to a maximum allowable power value; pess,DDischarge power for energy storage devices, Pess,DmaxThe maximum allowable value of the discharge power of the energy storage device is obtained.
5. The flexible platform zone-based economic dispatching method according to claim 1, wherein:
in step S4, the parameters of the flexible platform area include:
residential electricity load P of n transformer areas with time length of one daycity,n,tN stations of one day in time length, and electric load P for alternating current of electric vehicleac,n,tElectric automobile direct current user load P with time length of one dayev,t；
Transformer capacity C of transformer areaa,nOverload critical value L of n transformer areasn,max；
Maximum value P of reverse and forward power transmission of transformer in transformer areavsc,minAnd Pvsc,max；
Capacity of energy storage device CcapCharging efficiency eta of energy storage deviceCDischarge efficiency eta of energy storage deviceDEnergy storage device limiting switching times CopThe maximum allowable value P of the charging power of the energy storage deviceess,CmaxThe maximum allowable value P of the discharge power of the energy storage deviceess,Dmax；
And weight coefficients in the objective function, including the deviation coefficient cdTime of day electricity price cess,tHeavy load coefficient cex1And cex2。
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