CN114757422A - Charging pile cost adjustment and evaluation method and device for supporting voltage toughness of urban power grid - Google Patents

Charging pile cost adjustment and evaluation method and device for supporting voltage toughness of urban power grid Download PDF

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CN114757422A
CN114757422A CN202210410696.XA CN202210410696A CN114757422A CN 114757422 A CN114757422 A CN 114757422A CN 202210410696 A CN202210410696 A CN 202210410696A CN 114757422 A CN114757422 A CN 114757422A
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郭超
叶承晋
丁一
李静
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Zhejiang University ZJU
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Abstract

The invention discloses a charging pile cost adjustment and evaluation method and device for supporting voltage toughness of an urban power grid, wherein the method comprises the following steps: charging parameter cost of the charging pile is obtained through charging parameter and charging parameter change introduction cost; obtaining a demand response traffic cost through a charging pile demand response traffic cost model; obtaining the demand response endurance cost of the charging pile through the charging pile demand response endurance cost model; respectively obtaining each weight based on an AHP analytic hierarchy process; and acquiring a demand response comprehensive cost serving as the charging pile through the demand response comprehensive cost model, and performing cost adjustment and evaluation on the charging pile by using the demand response comprehensive cost. The apparatus comprises a computer device, mainly comprising a processor and a memory with a processing module installed. The method can avoid the problem that the demand side charging pile participates in supporting the urban power grid and has insufficient voltage toughness excitation, can improve the enthusiasm of the demand side charging pile participating in demand response, and improves the flexibility of operation of the power system.

Description

Charging pile cost adjustment and evaluation method and device for supporting voltage toughness of urban power grid
Technical Field
The invention relates to a charging pile cost adjustment and evaluation method in the technical field of operation and control of an electric power system, in particular to a charging pile cost adjustment and evaluation method and device for supporting voltage toughness of an urban power grid.
Background
With the increasing severity of environmental and energy problems, electric vehicles have received a great deal of attention and have been rapidly developed. The electric vehicle charging, discharging and storing integrated power station integrates the advantages of an electric vehicle charging station and a bidirectional power station, and energy bidirectional scheduling of the electric vehicle and a power grid is realized. Specifically, on one hand, the residual capacity of the charging pile of the electric automobile is fully utilized, and the voltage compensation is carried out on the V2G reactive power of the charger of the electric automobile. On the other hand, in the V2G mode, active power reversely flows from the battery side to the alternating current side, so that net load of a power grid can be equivalently reduced, and the effect of supporting the voltage level of the power distribution network is achieved. Under the background, the cost of demand side charging pile demand response needs to be further quantified, and demand side demand response resources represented by electric vehicles are more actively participated in power system optimization scheduling. At present, demand response of a demand side charging pile is mainly characterized by changes of charging parameters, comprehensive cost of the demand response of the demand side charging pile is not accurately quantified, adjustment and evaluation are limited, and therefore the enthusiasm of the demand side charging pile to participate in the demand response is limited.
Disclosure of Invention
In order to solve the problems in the background art, the invention provides a charging pile cost adjustment and evaluation method and device for supporting voltage toughness of an urban power grid, and mainly aims to solve the problem that cost cannot be effectively quantified and further adjusted and evaluated by a charging pile on a demand side due to the fact that charging cost is only considered.
The technical scheme adopted by the invention is as follows:
the charging pile cost adjustment and evaluation method comprises the following steps:
1) establishing a charging parameter model according to a charging pile connected to a demand side in a power grid in the operation process of a power system, and obtaining charging parameters through the charging parameter model; and establishing a charging parameter change introduction cost model according to the charging parameters, obtaining charging parameter change introduction cost through the charging parameter change introduction cost model, and obtaining the charging parameter cost of the charging pile through the charging parameters and the charging parameter change introduction cost.
2) The method comprises the steps of establishing a charging traffic density coefficient model of a charging pile connected to a demand side in a power grid during charging, obtaining a charging traffic density coefficient through the charging traffic density coefficient model, establishing a charging pile demand response traffic cost model through the charging traffic density coefficient, and obtaining demand response traffic cost through the charging pile demand response traffic cost model.
3) The method comprises the steps of establishing a endurance mileage model of a charging pile connected to a demand side in a power grid, obtaining endurance mileage through the endurance mileage model, establishing a demand response endurance cost model of the charging pile through the endurance mileage, and obtaining demand response endurance cost of the charging pile through the demand response endurance cost model of the charging pile.
4) Based on an AHP analytic hierarchy process, weights of the charging parameter cost in the step 1), the demand response traffic cost in the step 2) and the demand response endurance cost in the step 3) are obtained respectively.
5) According to the charging parameter cost, the demand response traffic cost and the weight of the demand response endurance cost, a demand response comprehensive cost model of the charging pile is established, the demand response comprehensive cost as the charging pile is obtained through the demand response comprehensive cost model, and cost adjustment and evaluation are carried out on the charging pile through the demand response comprehensive cost.
The cost is the electric quantity related quantity to be consumed when the electric automobile is connected into the charging pile for charging.
In the step 1), a charging parameter model is established according to a charging pile accessed to a demand side in a power grid, and the method specifically comprises the following steps:
Figure BDA0003603544350000021
Figure BDA0003603544350000022
Figure BDA0003603544350000023
wherein t represents the starting time period of participation of the charging pile in demand response, and thetap(t) represents a charging parameter of the charging pile,. DELTA.Q ev(t) represents the adjustment electric quantity of the charging pile, P (t) represents the adjustment electric quantity index of the charging pile in the demand response time period, and delta t represents the time span of the charging pile in the demand response; Δ pch (t) represents a difference value of charging power adjustment in a period corresponding to participation of the charging pile in demand response; pi (t) represents a preset electric quantity index in a period corresponding to participation of the charging pile in demand response.
Charging parameter theta of charging pile is obtained through charging parameter modelp(t)。
According to the charging parameter thetap(t) establishing a charging parameter change introduction cost model, which specifically comprises the following steps:
Figure BDA0003603544350000024
Figure BDA0003603544350000025
wherein, gamma isp(t) represents the charging parameter change introduction cost of the charging pile, lambda represents a preset demand side loss coefficient, beta represents a preset demand side balance coefficient, and CtThe charging parameter reference point of the charging pile is represented, omega represents the coefficient of the charging parameter reference point, and the value range of omega is [0, 1%]Further, the specific value of ω is mainly [0.3,0.7 ]]。
By passingCharging parameter change introduction cost model for obtaining charging parameter change introduction cost gamma of charging pilep(t)。
The charging parameter cost of the charging pile is the charging parameter theta of the charging pilep(t) and charging parameter change introduction cost gamma of charging pilepThe sum of (t) is as follows:
Γcon(t)＝Θp(t)+Γp(t)
charging parameter cost is comprehensively considered, charging parameters of the charging pile and charging parameter change introduction cost of the charging pile are comprehensively considered, and charging parameter cost of the charging pile participating in demand response can be calculated more accurately.
In the step 2), a charging traffic density coefficient model of a charging pile accessed to a demand side in a power grid during charging is established, and the model specifically comprises the following steps:
Figure BDA0003603544350000031
Figure BDA0003603544350000032
wherein S iscon(T) represents a charge traffic density coefficient of a charging pile, TcTime period s representing demand response of charging pilecon(m) represents the traffic intensity index at time m, Eev(t) represents a charging amount preset value of the charging pile, and pch (t) represents charging power of the charging pile.
Obtaining charging traffic density coefficient S through charging traffic density coefficient modelcon(t)。
According to the charge traffic density coefficient Scon(t) establishing a charging pile demand response traffic cost model, which specifically comprises the following steps:
Figure BDA0003603544350000033
wherein, gamma iscon(t) represents the demand response traffic cost, ζ, of the charging pileconAnd the road density parameter of the radiation area of the charging pile during charging is represented.
Obtaining a demand response traffic cost gamma through a charging pile demand response traffic cost modelcon(t)。
In the step 3), a cruising mileage model of the charging pile accessed to the demand side in the power grid is established, and the method specifically comprises the following steps:
Figure BDA0003603544350000034
wherein M istraThe driving mileage of the charging pile is shown,
Figure BDA0003603544350000035
the available electric quantity of the electric automobile connected with the charging pile is represented, and the ECR represents the unit mileage energy consumption value of the electric automobile connected with the charging pile; the unit mileage energy consumption value of the electric vehicle may be determined based on historical operating data of the electric vehicle.
Obtaining the driving mileage M of the charging pile through the driving mileage modeltra。
According to the driving mileage M of the charging piletraEstablishing a demand response endurance cost model of the charging pile, which comprises the following steps:
Figure BDA0003603544350000036
wherein, gamma istra(t) represents the demand response endurance cost of the charging pile, MreqThe trip that shows the electric automobile who inserts the electric pile presets the mileage.
Charging pile demand response endurance cost model obtaining demand response endurance cost gamma of charging piletra(t)。
In the step 5), weighting ω according to the obtained charge parameter cost1And a demand response traffic cost gammaconWeight ω of (t)2And a demand response endurance cost ΓtraWeight ω of (t)3Establishing a demand response comprehensive cost model of the charging pile,the method comprises the following specific steps:
Ωc(t)＝ω1Γcon(t)+ω2Γpri(t)+ω3Γtra(t)
wherein omegacAnd (t) representing the comprehensive cost of demand response of the charging pile.
Obtaining a demand response comprehensive cost omega serving as a charging pile through a demand response comprehensive cost modelcAnd (t) carrying out cost adjustment and evaluation on the charging pile by using the comprehensive cost of the demand response.
The charging pile cost adjustment and evaluation device is computer equipment and mainly comprises a processor and a memory provided with a processing module, wherein the processor is used for driving the memory provided with the processing module, so that the memory executes the charging pile cost adjustment and evaluation method through the processing module.
The beneficial effects of the invention are:
compared with the prior art, the method, the device and the computer equipment for adjusting and evaluating the comprehensive cost of the demand response of the demand side charging pile are used for calculating the comprehensive cost of the demand response of the demand side charging pile based on the charging cost, the traffic cost and the cruising cost brought by the participation of the demand side charging pile in the demand response, and the problem that the cost cannot be effectively quantized by the demand side charging pile due to the fact that only the charging cost is considered is avoided.
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Fig. 1 is a flowchart of a charging pile cost adjustment and evaluation method provided by the invention;
fig. 2 is a schematic structural diagram of a computer device provided in the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the embodiments.
The charging pile cost adjustment and evaluation method comprises the following steps:
1) establishing a charging parameter model according to a charging pile connected to a demand side in a power grid in the operation process of a power system, and obtaining charging parameters through the charging parameter model; and establishing a charging parameter change introduction cost model according to the charging parameters, obtaining charging parameter change introduction cost through the charging parameter change introduction cost model, and obtaining the charging parameter cost of the charging pile through the charging parameters and the charging parameter change introduction cost.
The method comprises the following steps of establishing a charging parameter model according to a charging pile connected to a demand side in a power grid, and specifically comprising the following steps:
Figure BDA0003603544350000041
Figure BDA0003603544350000051
Figure BDA0003603544350000052
wherein t represents the starting time period of participation of the charging pile in demand response, and thetap(t) represents a charging parameter of the charging pile,. DELTA.Qev(t) represents the adjustment electric quantity of the charging pile, P (t) represents the adjustment electric quantity index of the charging pile in the demand response time period, and delta t represents the time span of the charging pile in the demand response; Δ pch (t) represents a difference value of charging power adjustment in a period corresponding to participation of the charging pile in demand response; pi (t) represents a preset electric quantity index in a period corresponding to participation of the charging pile in demand response.
Charging parameter theta of charging pile is obtained through charging parameter modelp(t)。
According to the charging parameter thetap(t) establishing a charging parameter change introduction cost model, which is specifically as follows:
Figure BDA0003603544350000053
Figure BDA0003603544350000054
wherein, gamma isp(t) represents the charging parameter change introduction cost of the charging pile, lambda represents a preset demand side loss coefficient, beta represents a preset demand side balance coefficient, and CtThe charging parameter reference point of the charging pile is represented, omega represents the coefficient of the charging parameter reference point, and the value range of omega is [0, 1%]Further, the specific value of ω is mainly [0.3,0.7 ]]。
Charging parameter change introduction cost gamma of the charging pile is obtained through the charging parameter change introduction cost model p(t)。
Charging parameter cost of charging pile is charging parameter theta of charging pilep(t) and charging parameter change introduction cost gamma of charging pilepThe sum of (t) is as follows:
Γcon(t)＝Θp(t)+Γp(t)
charging parameter cost is comprehensively considered, charging parameters of the charging pile and charging parameter change introduction cost of the charging pile are comprehensively considered, and charging parameter cost of the charging pile participating in demand response can be calculated more accurately.
2) The method comprises the steps of establishing a charging traffic density coefficient model of a charging pile connected to a demand side in a power grid during charging, obtaining a charging traffic density coefficient through the charging traffic density coefficient model, establishing a charging pile demand response traffic cost model through the charging traffic density coefficient, and obtaining demand response traffic cost through the charging pile demand response traffic cost model.
The method comprises the following steps of establishing a charging traffic density coefficient model of a charging pile connected to a demand side in a power grid during charging, wherein the model specifically comprises the following steps:
Figure BDA0003603544350000055
Figure BDA0003603544350000061
wherein Scon (t) represents chargingPile charge traffic density factor, TcTime period s representing demand response of charging pilecon(m) represents the traffic intensity index at time m, Eev(t) represents a charging amount preset value of the charging pile, and pch (t) represents charging power of the charging pile.
Obtaining charging traffic density coefficient S through charging traffic density coefficient model con(t)。
According to the charging traffic density coefficient Scon(t) establishing a charging pile demand response traffic cost model, which specifically comprises the following steps:
Figure BDA0003603544350000062
wherein, gamma iscon(t) represents the demand response traffic cost, ζ, of the charging pileconAnd the road density parameter of the radiation area of the charging pile during charging is represented.
Obtaining a demand response traffic cost gamma through a charging pile demand response traffic cost modelcon(t)。
3) The method comprises the steps of establishing a endurance mileage model of a charging pile connected to a demand side in a power grid, obtaining endurance mileage through the endurance mileage model, establishing a demand response endurance cost model of the charging pile through the endurance mileage, and obtaining demand response endurance cost of the charging pile through the demand response endurance cost model of the charging pile.
The method comprises the following steps of establishing a mileage model of a charging pile connected to a demand side in a power grid, and specifically comprising the following steps:
Figure BDA0003603544350000063
wherein M istraThe driving mileage of the charging pile is shown,
Figure BDA0003603544350000065
the available electric quantity of the electric automobile connected with the charging pile is represented, and the ECR represents the unit mileage energy consumption value of the electric automobile connected with the charging pile; the unit mileage energy consumption value of the electric automobile can be determined according to the historical operation number of the electric automobileIs determined accordingly.
Obtaining the endurance mileage M of the charging pile through the endurance mileage modeltra。
According to the continuation of the journey mileage M of charging staketraEstablishing a demand response endurance cost model of the charging pile, which comprises the following steps:
Figure BDA0003603544350000064
Wherein, gamma istra(t) represents the demand response endurance cost of the charging pile, MreqThe trip that shows the electric automobile who inserts the electric pile presets the mileage.
Charging pile demand response endurance cost model obtaining demand response endurance cost gamma of charging piletra(t)。
4) Based on an AHP (analytic hierarchy process), weights of the charging parameter cost in the step 1), the demand response traffic cost in the step 2) and the demand response endurance cost in the step 3) are respectively obtained;
5) according to the charging parameter cost, the demand response traffic cost and the demand response endurance cost, a demand response comprehensive cost model of the charging pile is established, the demand response comprehensive cost serving as the charging pile is obtained through the demand response comprehensive cost model, and cost adjustment and evaluation are carried out on the charging pile through the demand response comprehensive cost. The cost is the related quantity of the electric quantity to be consumed when the electric automobile is connected into the charging pile for charging.
Weight ω according to the obtained cost of the charging parameter1Demand response traffic cost gammaconWeight ω of (t)2And a demand response endurance cost ΓtraWeight ω of (t)3Establishing a demand response comprehensive cost model of the charging pile, which comprises the following steps:
Ωc(t)＝ω1Γcon(t)+ω2Γpri(t)+ω3Γtra(t)
wherein omegacAnd (t) representing the comprehensive cost of demand response of the charging pile.
Obtained through a demand response comprehensive cost model asFill demand response of electric pile and synthesize cost omegacAnd (t) carrying out cost adjustment and evaluation on the charging pile by using the comprehensive cost of the demand response.
The charging pile cost adjustment and evaluation device is computer equipment and mainly comprises a processor and a memory provided with a processing module, wherein the processor is used for driving the memory provided with the processing module, so that the memory executes a charging pile cost adjustment and evaluation method for supporting the voltage toughness of the urban power grid through the processing module.
The specific embodiment is as follows:
table 1 traffic intensity index s of charging pile participating in demand response periodcon(m)
Time At 1 hour At 2 time At 3 time At 4 th hour At 5 th hour At 6 th hour
Density index 8.36 4.89 4.64 3.92 2.89 3.19
Time At 7 th hour At 8 th hour At 9 th hour At 10 hours At 11 time At 12 th hour
Density index 7.86 44.03 79.85 51.41 29.57 20.93
Time At 13 th hour At time 14 At 15 time At 16 hours At 17 time At 18 hours
Density index 17.63 20.89 26.47 27.4 22.09 45.02
Time At 19 time At 20 hours At time 21 At 22 hours At 23 time At 24 hours
Density index 40.42 21.4 13.39 12.64 7.92 6.92
Table 2 preset electric quantity index pi (t) in the period corresponding to the participation of charging pile in demand response
Time At 1 hour At 2 time At 3 time At 4 th hour At 5 th hour At 6 th hour
Electricity quantity index 0.45 0.47 0.48 0.47 0.49 0.51
Time At 7 th hour At 8 th hour At 9 th hour At 10 hours At 11 time At 12 th hour
Index of electric quantity 0.49 0.5 0.56 0.6 0.61 0.61
Time At 13 th hour At time 14 At 15 time At 16 hours At 17 time At 18 hours
Electricity quantity index 0.59 0.66 0.76 0.69 0.64 0.60
Time At 19 time At 20 hours At time 21 At 22 hours At 23 time At 24 hours
Electricity quantity index 0.54 0.49 0.47 0.47 0.44 0.42
In addition, the invention assumes that the preset endurance mileage at 8 hours-20 hours is higher than the preset endurance mileage at night.
Table 3 preset trip mileage M of electric vehicle connected to charging pilereq
Time At 1 hour At 2 time At 3 time At 4 th hour At 5 th hour At 6 th hour
Preset mileage 0.5 0.5 0.5 0.5 0.5 0.5
Time At 7 th hour At 8 th hour At 9 th hour At 10 hours At 11 time At 12 th hour
Preset mileage 0.5 0.5 1 1 1 1
Time At 13 th hour At time 14 At 15 time At 16 hours At 17 time At 18 hours
Preset mileage 1 1 1 1 1 1
Time At 19 time At 20 hours At time 21 At 22 hours At 23 time At 24 hours
Preset mileage 1 1 0.5 0.5 0.5 0.5
Based on the data, the charging pile cost adjusting method for supporting the voltage toughness of the urban power grid is applied, and the optimized and determined comprehensive cost of the demand response of the charging pile on the demand side is as follows:
table 4 comprehensive cost Ω of demand response of charging pilec(t)
Time At 1 hour At 2 time At 3 time At 4 th hour At 5 th hour At 6 th hour
Composite cost 0.92 0.88 0.83 0.79 0.78 0.85
Time At 7 th hour At 8 th hour At 9 th hour At 10 hours At 11 time At 12 th hour
Composite cost 0.77 0.62 0.58 0.6 0.65 0.71
Time At 13 th hour At time 14 At 15 time At 16 hours At 17 time At 18 hours
Composite cost 0.75 0.83 0.9 0.98 1.12 1.21
Time At 19 time At 20 hours At time 21 At 22 hours At 23 time At 24 hours
Composite cost 1.18 1.09 0.96 0.91 0.88 0.84
The validity of the method of the invention can be verified through the result of the embodiment. The result of the embodiment shows that the comprehensive cost of the demand response of the demand-side charging pile varies greatly in one day. Under the condition that the current demand response compensation electric quantity index is a fixed value, the demand side charging pile can optimize a demand response strategy according to the self demand response comprehensive cost. Meanwhile, the comprehensive cost of the demand response of the demand side charging pile is lower at 8:00-10:00 and higher at 17:00-20: 00. The reasons why the above-described scenario occurs are: at 8:00-10:00, the traffic density index is higher, and at the same time, the electric quantity index is higher, the preset trip mileage of the electric automobile can be met by night charging behaviors, so that the comprehensive cost of the demand response of the demand side charging pile is reduced; at 17:00-20:00, the traffic density index is relatively low, and at the same time, the electric quantity index is low, the preset trip mileage of the electric automobile is high, so that the comprehensive cost of the demand response of the demand side charging pile is increased.
Therefore, the charging pile cost adjusting method for supporting the voltage toughness of the urban power grid can effectively reflect the influence of the dense traffic situation, the real-time electric quantity index and the preset trip mileage of the electric automobile on the comprehensive cost of the demand response of the demand side charging pile, and adjust and evaluate the cost of the demand side charging pile participating in the demand response.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made without departing from the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (6)

1. A charging pile cost adjusting and evaluating method for supporting voltage toughness of an urban power grid is characterized by comprising the following steps:
the method comprises the following steps:
1) establishing a charging parameter model according to a charging pile accessed to a demand side in a power grid, and obtaining charging parameters through the charging parameter model; establishing a charging parameter change introduction cost model according to the charging parameters, obtaining charging parameter change introduction cost through the charging parameter change introduction cost model, and obtaining charging parameter cost of the charging pile through the charging parameters and the charging parameter change introduction cost;
2) Establishing a charging traffic intensive coefficient model of a charging pile accessed to a demand side in a power grid during charging, obtaining a charging traffic intensive coefficient through the charging traffic intensive coefficient model, establishing a charging pile demand response traffic cost model through the charging traffic intensive coefficient, and obtaining demand response traffic cost through the charging pile demand response traffic cost model;
3) establishing a cruising mileage model of a charging pile accessed to a demand side in a power grid, obtaining cruising mileage through the cruising mileage model, establishing a charging pile demand response cruising cost model through the cruising mileage, and obtaining demand response cruising cost of the charging pile through the charging pile demand response cruising cost model;
4) based on an AHP analytic hierarchy process, respectively obtaining weights of the charging parameter cost in the step 1), the demand response traffic cost in the step 2) and the demand response endurance cost in the step 3);
5) according to the charging parameter cost, the demand response traffic cost and the weight of the demand response endurance cost, a demand response comprehensive cost model of the charging pile is established, the demand response comprehensive cost as the charging pile is obtained through the demand response comprehensive cost model, and cost adjustment and evaluation are carried out on the charging pile through the demand response comprehensive cost.
2. The charging pile cost adjusting method for supporting voltage toughness of the urban power grid according to claim 1, characterized by comprising the following steps:
in the step 1), a charging parameter model is established according to a charging pile accessed to a demand side in a power grid, and the method specifically comprises the following steps:
Figure FDA0003603544340000011
Figure FDA0003603544340000012
Figure FDA0003603544340000013
wherein t represents the starting time period of participation of the charging pile in demand response, and thetap(t) represents a charging parameter of the charging pile,. DELTA.Qev(t) represents the adjustment electric quantity of the charging pile, P (t) represents the adjustment electric quantity index of the charging pile in the demand response time period, and delta t represents the time span of the charging pile in the demand responseDegree; Δ pch (t) represents a difference value of charging power adjustment in a period corresponding to participation of the charging pile in demand response; pi (t) represents a preset electric quantity index in a period corresponding to participation of the charging pile in demand response;
charging parameter theta of charging pile is obtained through charging parameter modelp(t)；
According to the charging parameter thetap(t) establishing a charging parameter change introduction cost model, which is specifically as follows:
Figure FDA0003603544340000021
Figure FDA0003603544340000022
wherein, gamma isp(t) represents the charging parameter change introduction cost of the charging pile, lambda represents a preset demand side loss coefficient, beta represents a preset demand side balance coefficient, and CtThe charging parameter reference point of the charging pile is represented, omega represents the coefficient of the charging parameter reference point, and the value range of omega is [0, 1% ]；
Charging parameter change introduction cost gamma of the charging pile is obtained through the charging parameter change introduction cost modelp(t)；
The charging parameter cost of the charging pile is the charging parameter theta of the charging pilep(t) and charging parameter change introduction cost gamma of charging pilepThe sum of (t) is as follows:
Γcon(t)＝Θp(t)+Γp(t)
3. the charging pile cost adjusting method for supporting voltage toughness of the urban power grid according to claim 1, characterized by comprising the following steps:
in the step 2), a charging traffic density coefficient model of a charging pile accessed to a demand side in a power grid during charging is established, and the model specifically comprises the following steps:
Figure FDA0003603544340000023
Figure FDA0003603544340000024
wherein S iscon(T) represents a charge traffic density coefficient of a charging pile, TcTime period s representing demand response of charging pilecon(m) represents the traffic intensity index at time m, Eev(t) represents a charging amount preset value of the charging pile, and pch (t) represents charging power of the charging pile;
obtaining charging traffic density coefficient S through charging traffic density coefficient modelcon(t)；
According to the charge traffic density coefficient Scon(t) establishing a charging pile demand response traffic cost model, which specifically comprises the following steps:
Figure FDA0003603544340000025
wherein, gamma iscon(t) represents the demand response traffic cost, ζ, of the charging pileconRepresenting a road dense parameter of a radiation area when the charging pile is charged;
obtaining a demand response traffic cost gamma through a charging pile demand response traffic cost model con(t)。
4. The charging pile cost adjusting method for supporting voltage toughness of the urban power grid according to claim 1, characterized by comprising the following steps:
in the step 3), a endurance mileage model of the charging pile accessed to a demand side in the power grid is established, and the model specifically comprises the following steps:
Figure FDA0003603544340000031
wherein, MtraThe driving mileage of the charging pile is shown,
Figure FDA0003603544340000032
the available electric quantity of the electric automobile connected with the charging pile is represented, and the ECR represents the unit mileage energy consumption value of the electric automobile connected with the charging pile; obtaining the endurance mileage M of the charging pile through the endurance mileage modeltra；
According to the driving mileage M of the charging piletraEstablishing a demand response endurance cost model of the charging pile, which comprises the following steps:
Figure FDA0003603544340000033
wherein, gamma istra(t) represents the demand response endurance cost of the charging pile, MreqRepresenting a preset trip mileage of the electric vehicle connected with the charging pile;
charging pile demand response endurance cost model obtaining demand response endurance cost gamma of charging piletra(t)。
5. The charging pile cost adjusting method for supporting voltage toughness of the urban power grid according to claim 1, characterized by comprising the following steps:
in the step 5), weighting ω according to the obtained charge parameter cost1Demand response traffic cost gammaconWeight ω of (t)2And a demand response endurance cost ΓtraWeight ω of (t) 3And establishing a demand response comprehensive cost model of the charging pile, which specifically comprises the following steps:
Ωc(t)＝ω1Γcon(t)+ω2Γpri(t)+ω3Γtra(t)
wherein omegac(t) representing the comprehensive cost of demand response of the charging pile;
obtaining a demand response comprehensive cost omega serving as a charging pile through a demand response comprehensive cost modelcAnd (t) carrying out cost adjustment and evaluation on the charging pile by using the comprehensive cost of the demand response.
6. The utility model provides a support electric pile cost of filling of urban power grid voltage toughness adjusts evaluation device which characterized in that:
the charging pile cost adjusting and evaluating device is computer equipment and mainly comprises a processor and a memory provided with a processing module, wherein the processor is used for driving the memory provided with the processing module, so that the memory can execute the method of any one of claims 1 to 5 through the processing module.
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