CN117613980A - Method and device for predicting charge and discharge inertia supporting capacity index of electric automobile of power distribution network and computer readable storage medium - Google Patents
Method and device for predicting charge and discharge inertia supporting capacity index of electric automobile of power distribution network and computer readable storage medium Download PDFInfo
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Abstract
The utility model provides a method, a device and a computer readable storage medium for predicting charge and discharge inertia supporting capability index of a power distribution network electric automobile, which belongs to the technical field of network access of electric automobiles, and is used for carrying out real-time monitoring and predicting a predicted value at the next moment on total load power of the power distribution network, active power input to the electric automobile by the power distribution network, active power input to the power distribution network by the electric automobile, power distribution network frequency, current input to the electric automobile by the power distribution network, current input to the power distribution network by the electric automobile, calculating the predicted value of the charge and discharge inertia supporting capability index of the power distribution network electric automobile, adjusting charge and discharge or quantity of the electric automobile in a charge and discharge system of the power distribution network electric automobile according to the result, and improving stability and safety of the charge and discharge system of the power distribution network electric automobile. According to the method and the device for adjusting the quantity of the electric vehicles in the power distribution network, the quantity of the electric vehicles in the power distribution network is adjusted according to the prediction result of the charging and discharging inertia supporting capability index of the electric vehicles in the power distribution network, and the stable operation of the power distribution network can be ensured.
Description
Technical Field
The invention belongs to the technical field of electric automobile network access, and particularly relates to a method for predicting charge and discharge inertia supporting capacity index of an electric automobile of a power distribution network.
Background
The electric automobile is used as mobile energy storage equipment and can be used as spare capacity when the power distribution network independently operates. On the other hand, the electric automobile network access technology participates in the frequency modulation of the power distribution network, so that certain economic benefits are brought to electric automobile users and the power distribution network, the renewable energy consumption is promoted, the frequency stability of the power distribution network is improved, and meanwhile, the construction and operation cost of a controllable power supply in the power distribution network is reduced. However, when the electric automobile is charged and discharged to be connected into a power distribution network, the grid-connected electric automobile which is lack of inertia on a large scale cannot effectively participate in frequency modulation of the power distribution network under the condition of high grid-connected permeability.
Therefore, a method for predicting the charge-discharge inertia supporting capacity of the electric automobile of the power distribution network is necessary to be determined in the electric power system, and the problem that the grid-connected electric automobile which is lack of inertia on a large scale cannot effectively participate in frequency modulation of the power grid is solved in time when the electric automobile is connected to the power grid as an energy storage micro source only by accurately predicting the charge-discharge inertia supporting capacity of the electric automobile of the power distribution network. The method for increasing the power distribution network to input active power to the electric automobile for energy storage can fully meet the requirement of stable operation of the power grid when the inertia supporting capability of the power distribution network is provided, and the method for increasing the power distribution network to input active power to the power distribution network to enhance the operation stability of the power distribution network when the inertia supporting capability of the power distribution network cannot meet the requirement of stable operation of the power grid is provided, but at present, no method for accurately judging the charge and discharge inertia supporting capability of the electric automobile of the power distribution network is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the method, the device and the computer readable storage medium for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network can predict the insufficient charge and discharge inertia supporting capacity of the electric automobile of the power distribution network, and the stability of the operation of the power distribution network is enhanced by increasing the active power input by the electric automobile to the power distribution network or reducing the charging quantity of the electric automobile in time.
The method for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network comprises the following steps:
construction of DNEVC (distributed network electric vehicle) support capacity index model of charging and discharging inertia of electric vehicle ISCI ，
Support for measuring charging and discharging inertia of electric automobile of power distribution networkEach capacity parameter, and establishing a power distribution network electric vehicle charge and discharge inertia supporting capacity parameter time sequence according to each measured parameter value; and calculates the influence factor of the current moment on the next moment parameter
Calculating T according to the time sequence and the influence factor m+1 Predicted values of charge and discharge inertia supporting capacity parameters of electric vehicles of the power distribution network at moment;
normalizing the predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network to obtain a normalized value;
calculating T by the normalized value m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentThe method is used for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network.
The electric automobile charging and discharging inertia supporting capacity of the power distribution network comprises the total load power of the power distribution networkThe power distribution network inputs active power to the electric automobile>The electric automobile inputs active power to the power distribution network>Power distribution network frequencyThe distribution network inputs current to the electric automobile>The electric automobile inputs current to the power distribution network>
The influencing factorsThe calculation formula of (2) is as follows:
in the method, in the process of the invention,is the T th z Influence factors of the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network on the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network at the next moment; p (P) C,min For the total load power of the distribution network to be T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; f (f) E,min For the distribution network frequency at T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; />Is T z The electric automobile inputs current to the power distribution network at any moment; i Be,max Inputting current into power distribution network for electric automobile in T 1 ,T 2 ,...,T z ,...,T m The maximum of the time measurements for these m fixed time intervals.
The T is m+1 The predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network at moment is as follows:
in the method, in the process of the invention,is T m+1 Predicted value of total load power of the power distribution network at moment; />Is T m+1 The power distribution network inputs a predicted value of active power to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a predicted value of active power to the power distribution network at any moment;is T m+1 Predicted values of the power distribution network frequency at the moment; />Is T m+1 The power distribution network inputs a predicted value of current to the electric automobile at any moment; />Is T m+1 And the electric automobile inputs a predicted value of the current to the power distribution network at any time.
The T is m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentThe method comprises the following steps:
in the method, in the process of the invention,is T m+1 Normalizing the predicted value of the total load power of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of the active power predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of the active power predicted value to the power distribution network at any moment; />Is T m+1 Normalizing the predicted value of the frequency of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of a current predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of a current predicted value to the power distribution network at any moment;
if the predicted value of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is obtainedIf the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is greater than or equal to 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network can support the normal operation of the power distribution network at the next moment, and the power distribution network is required to be increased to input active power into the electric automobile for energy storage;
if the predicted value of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is obtainedAnd the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is smaller than 0.5, and the charging quantity of the electric automobile is required to be increased to input active power into the power distribution network or the charging quantity of the electric automobile is reduced to enhance the running stability of the power distribution network.
DNEVC (digital electronic visual analysis) of electric automobile charge and discharge inertia supporting capacity index model of power distribution network ISCI The method comprises the following steps:
wherein T is 1 ,T 2 ,...,T z ,...,T m M times of fixed time intervals, wherein m is a natural number, m e 1,2, …, z is a z time, and z is a natural number, z e {1,2, …, m };is T z Total load power of the power distribution network at moment; />Is T z The power distribution network inputs active power to the electric automobile at any moment; />Is T z The electric automobile inputs active power to the power distribution network at any moment; p (P) C,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum value of the measured value of the total load power of the power distribution network in the m fixed time intervals; p (P) Eb,max Is T 1 ,T 2 ,...,T z ,...,T m The power distribution network inputs the maximum value of active power measurement values to the electric automobile in the moments of the m fixed time intervals; p (P) Be,max Is T 1 ,T 2 ,...,T z ,...,T m The electric automobile inputs the maximum value of active power measurement values to the power distribution network at the moment of the m fixed time intervals; />Is T z The frequency of the power distribution network at any moment; f (f) E,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum of the power distribution network frequency measurements at the m fixed time intervals.
The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction device comprises a basic data measurement module, wherein the basic data measurement module is used for measuring various parameters of the power distribution network electric automobile charge and discharge inertia supporting capacity;
model training module for charging and discharging inertia of electric automobile in power distribution networkSupport Capacity index model DNEVC ISCI Training is carried out;
and the prediction module is used for predicting the charge and discharge inertia supporting capacity of the electric automobile of the power distribution network at the next moment.
The model training module comprises a modeling unit, a normalization processing unit and a predicted value acquisition unit.
A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the method for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network when the computer program is executed by a processor.
Through the design scheme, the invention has the following beneficial effects: according to the method, the device and the computer readable storage medium for predicting the charge and discharge inertia supporting capability index of the electric automobile of the power distribution network, the total load power of the power distribution network, the active power input to the electric automobile by the power distribution network, the active power input to the power distribution network by the electric automobile, the frequency of the power distribution network, the current input to the electric automobile by the power distribution network, the predicted value of the next time parameter is monitored and predicted in real time, the predicted value of the charge and discharge inertia supporting capability index of the electric automobile of the power distribution network is calculated according to the obtained monitored parameter and the predicted value of the next time parameter, the charge and discharge or the number of the electric automobiles in the electric automobile charge and discharge system of the power distribution network is adjusted in real time according to the calculated result, and the stability and the safety of the electric automobile charge and discharge system of the power distribution network are improved.
Compared with the prior art, the method disclosed by the invention has the advantages that the quantity of the electric vehicles in the power distribution network is adjusted according to the prediction result of the charge and discharge inertia supporting capability index of the electric vehicles in the power distribution network, so that the stable operation of the power distribution network can be ensured.
Drawings
The invention is further described with reference to the drawings and detailed description which follow:
fig. 1 is a flow chart of a method for predicting charge and discharge inertia supporting capacity index of an electric vehicle of a power distribution network.
Detailed Description
The method for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network, as shown in fig. 1, comprises the following steps:
step 1: define power distribution network electric automobile charge and discharge inertia support capability index DNEVC ISCI And according to DNEVC ISCI Defining and determining the supporting capacity parameters of the charging and discharging inertia of the electric automobile of the power distribution network;
the electric automobile charge and discharge inertia supporting capacity index DNEVC of the power distribution network ISCI As shown in formula (1):
wherein T is 1 ,T 2 ,...,T z ,...,T m M times of fixed time intervals, wherein m is a natural number, m e 1,2, …, z is a z time, and z is a natural number, z e {1,2, …, m };is T z Total load power of the power distribution network at moment; />Is T z The power distribution network inputs active power to the electric automobile at any moment; />Is T z The electric automobile inputs active power to the power distribution network at any moment; p (P) C,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum value of the measured value of the total load power of the power distribution network in the m fixed time intervals; p (P) Eb,max Is T 1 ,T 2 ,...,T z ,...,T m Distribution network power distribution in the m fixed time intervalsThe maximum value of the active power measured value is input to the motor car; p (P) Be,max Is T 1 ,T 2 ,...,T z ,...,T m The electric automobile inputs the maximum value of active power measurement values to the power distribution network at the moment of the m fixed time intervals; />Is T z The frequency of the power distribution network at any moment; f (f) E,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum of the power distribution network frequency measurements at the m fixed time intervals;
the electric automobile charge and discharge inertia supporting capacity parameter of the power distribution network comprises: the method comprises the steps that the power distribution network total load power, the power distribution network inputs active power to the electric automobile, the electric automobile inputs active power to the power distribution network, the power distribution network frequency, the power distribution network inputs current to the electric automobile, and the electric automobile inputs current to the power distribution network;
step 2: measuring the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network, and establishing a time sequence of the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network according to the obtained measured values;
the method for measuring the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network comprises the following steps: selecting m fixed time intervals of time T 1 ,T 2 ,...,T z ,...,T m Measurement value of total load power of power distribution network is obtained through measurement in charging and discharging system of electric automobile of power distribution networkThe distribution network inputs the measured value of the active power to the electric automobile>Electric automobile inputs measured value of active power to power distribution network +.>Measurement of the frequency of a power distribution network>Power distribution network inputs measured value of electric current to electric automobileElectric vehicle inputs measured value of current to distribution network>
The time sequence of the charging and discharging inertia supporting capacity parameters of the electric automobile of the power distribution network is shown in a formula (2):
in this embodiment, a fixed time interval in the measurement process is set to 15min, and 5 measurement moments, i.e., T, are selected 1 ,T 2 ,T 3 ,T 4 ,T 5 Time instants of 5 fixed time intervals; at a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 The measurement of the total load power of the distribution network is obtainedAt a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 The power distribution network is obtained by measurement and is used for inputting active power measurement value into electric automobile>At a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 Middle measurement electric automobile inputs active power measurement value +.>At a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 Medium measurement distribution network frequency measurement +.>At a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 The middle measurement power distribution network inputs current measurement value to electric automobile>At a fixed time interval of time T 1 ,T 2 ,T 3 ,T 4 ,T 5 Medium measurement electric car input current measurement value to distribution networkAnd establishing a time sequence of the charging and discharging inertia supporting capacity parameters of the electric automobile of the power distribution network according to all the obtained measured values, wherein the time sequence is as follows:
step 3: calculating influence factors of charging and discharging inertia supporting capacity parameters of electric vehicles of power distribution network on charging and discharging inertia supporting capacity parameters of electric vehicles of power distribution network at next moment
Influence factors of charging and discharging inertia supporting capacity parameters of electric vehicles of power distribution network on charging and discharging inertia supporting capacity parameters of electric vehicles of power distribution network at next momentAs shown in formula (3):
wherein,is the T th z Charging and discharging inertia support of electric automobile of power distribution networkThe influence factor of the supporting capacity parameter on the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network at the next moment; p (P) C,min For the total load power of the distribution network to be T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; f (f) E,min For the distribution network frequency at T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; />Is T z The electric automobile inputs current to the power distribution network at any moment; i Be,max Inputting current into power distribution network for electric automobile in T 1 ,T 2 ,...,T z ,...,T m The maximum of the time measurements for these m fixed time intervals;
in this embodiment, according to formula (3), it may be calculated that the influence factor of the charging and discharging inertia supporting capability parameter of the electric vehicle in the power distribution network on the charging and discharging inertia supporting capability parameter of the electric vehicle in the power distribution network at the next moment is
Step 4: calculating T according to the time sequence of the charging and discharging inertia supporting capacity parameters of the electric automobile of the power distribution network and the influence factors of the charging and discharging inertia supporting capacity parameters of the electric automobile of the power distribution network on the charging and discharging inertia supporting capacity parameters of the electric automobile of the power distribution network at the next moment m+1 Predicted values of charge and discharge inertia supporting capacity parameters of electric vehicles of the power distribution network at moment;
the predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network is shown in a formula (4):
wherein,is T m+1 Predicted value of total load power of the power distribution network at moment; />Is T m+1 The power distribution network inputs a predicted value of active power to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a predicted value of active power to the power distribution network at any moment; />Is T m+1 Predicted values of the power distribution network frequency at the moment; />Is T m+1 The power distribution network inputs a predicted value of current to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a predicted value of current to the power distribution network at any moment;
in the present embodiment, T is predicted according to formula (4) 6 The predicted value of the charge and discharge inertia supporting capacity parameter of the electric automobile of the power distribution network at the moment is as follows:
wherein,is T 6 Predicted value of total load power of the power distribution network at moment; />Is T 6 The power distribution network inputs a predicted value of active power to the electric automobile at any moment; />Is T 6 The electric automobile inputs a predicted value of active power to the power distribution network at any moment; />Is T 6 Predicted values of the power distribution network frequency at the moment; />Is T 6 The power distribution network inputs a predicted value of current to the electric automobile at any moment; />Is T 6 The electric automobile inputs a predicted value of current to the power distribution network at any moment;
step 5: normalizing the predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network to obtain a normalized value of the predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network;
the normalization process is as shown in formula (5):
wherein,is T m+1 Normalizing the predicted value of the total load power of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of the active power predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of the active power predicted value to the power distribution network at any moment; />Is T m+1 Normalizing the predicted value of the frequency of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of a current predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of a current predicted value to the power distribution network at any moment; p (P) Eb,min Is T 1 ,T 2 ,...,T z ,...,T m The power distribution network inputs the minimum value of the active power measured value to the electric automobile in the moments of the m fixed time intervals; p (P) Be,min Is T 1 ,T 2 ,...,T z ,...,T m The electric automobile inputs the minimum value of active power to the power distribution network in the moments of the m fixed time intervals; i Eb,min Inputting current into electric automobile for power distribution network at T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; i Eb,max Inputting current into electric automobile for power distribution network at T 1 ,T 2 ,...,T z ,...,T m The maximum of the time measurements for these m fixed time intervals; i Be,min Inputting current into power distribution network for electric automobile in T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals;
in the present embodiment, for T 6 The predicted value of the charge and discharge inertia supporting capacity parameter of the electric automobile of the power distribution network at the moment is normalized as follows:
wherein,is T 6 Normalizing the predicted value of the total load power of the power distribution network at the moment; />Is T 6 The power distribution network inputs a normalized value of the active power predicted value to the electric automobile at any moment; />Is T 6 The electric automobile inputs a normalized value of the active power predicted value to the power distribution network at any moment; />Is T 6 Normalizing the predicted value of the frequency of the power distribution network at the moment; />Is T 6 The power distribution network inputs a normalized value of a current predicted value to the electric automobile at any moment; />Is T 6 And the electric automobile inputs the normalized value of the current predicted value to the power distribution network at any moment.
Step 6: calculating T by using normalized value of predicted value of charge and discharge inertia supporting capacity of electric automobile of power distribution network m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentThe prediction of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is realized;
the calculation T m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentThe method of (2) is shown in the formula (6):
if get a matchElectric automobile charge and discharge inertia supporting capacity index predictive value of power gridIf the power distribution network is larger than or equal to 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network can be considered to support the normal operation of the power distribution network, and the power distribution network can be increased to input active power into the electric automobile for energy storage; if the predicted value of the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network is obtained +.>And if the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is smaller than 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is considered to be too small, and the active power input to the power distribution network by the electric automobile is increased or the charging quantity of the electric automobile is reduced to enhance the running stability of the power distribution network.
In the present embodiment, T is calculated according to formula (6) 6 Electric automobile charge and discharge inertia supporting capacity index predictive value of power distribution network at momentThe method comprises the following steps:
if the predicted value of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is obtainedIf the power distribution network is larger than or equal to 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network can be considered to support the normal operation of the power distribution network at the next moment, and the power distribution network can be increased to input active power to the electric automobile for energy storage; if the predicted value of the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network is obtained +.>If the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is smaller than 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is considered to be too small at the next moment, and at the momentThe active power input by the electric automobile to the power distribution network is increased or the charging quantity of the electric automobile is reduced to enhance the running stability of the power distribution network.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions, which are defined by the scope of the appended claims.
Claims (9)
1. The method for predicting the charge and discharge inertia supporting capacity index of the electric automobile of the power distribution network is characterized by comprising the following steps of: the method comprises the following steps:
construction of DNEVC (distributed network electric vehicle) support capacity index model of charging and discharging inertia of electric vehicle ISCI ，
Measuring all parameters of the charge and discharge inertia supporting capacity of the electric automobile of the power distribution network, and establishing a time sequence of the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network according to the measured parameter values; and calculates the influence factor of the current moment on the next moment parameter
Calculating T according to the time sequence and the influence factor m+1 Predicted values of charge and discharge inertia supporting capacity parameters of electric vehicles of the power distribution network at moment;
normalizing the predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network to obtain a normalized value;
calculating T by the normalized value m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentBe used for supporting distribution network electric automobile charge and discharge inertiaAnd (5) predicting the capability index.
2. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction method according to claim 1, characterized by comprising the following steps: the electric automobile charging and discharging inertia supporting capacity of the power distribution network comprises the total load power of the power distribution networkThe power distribution network inputs active power to the electric automobile>The electric automobile inputs active power to the power distribution network>Distribution network frequency->The distribution network inputs current to the electric automobile>The electric automobile inputs current to the power distribution network>
3. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction method according to claim 1, characterized by comprising the following steps: the influencing factorsThe calculation formula of (2) is as follows:
in the method, in the process of the invention,is the T th z Influence factors of the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network on the charge and discharge inertia supporting capacity parameters of the electric automobile of the power distribution network at the next moment; p (P) C,min For the total load power of the distribution network to be T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; f (f) E,min For the distribution network frequency at T 1 ,T 2 ,...,T z ,...,T m The minimum of the time measurements for these m fixed time intervals; />Is T z The electric automobile inputs current to the power distribution network at any moment; i Be,max Inputting current into power distribution network for electric automobile in T 1 ,T 2 ,...,T z ,...,T m The maximum of the time measurements for these m fixed time intervals.
4. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction method according to claim 1, characterized by comprising the following steps: the T is m+1 The predicted value of the charging and discharging inertia supporting capacity parameter of the electric automobile of the power distribution network at moment is as follows:
in the method, in the process of the invention,is T m+1 Predicted value of total load power of the power distribution network at moment; />Is T m+1 The power distribution network inputs a predicted value of active power to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a predicted value of active power to the power distribution network at any moment; />Is T m+1 Predicted values of the power distribution network frequency at the moment; />Is T m+1 The power distribution network inputs a predicted value of current to the electric automobile at any moment; />Is T m+1 And the electric automobile inputs a predicted value of the current to the power distribution network at any time.
5. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction method according to claim 1, characterized by comprising the following steps: the T is m+1 Power distribution network electric automobile charge and discharge inertia supporting capacity index predicted value at momentThe method comprises the following steps:
in the method, in the process of the invention,is T m+1 Normalizing the predicted value of the total load power of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of the active power predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of the active power predicted value to the power distribution network at any moment; />Is T m+1 Normalizing the predicted value of the frequency of the power distribution network at the moment; />Is T m+1 The power distribution network inputs a normalized value of a current predicted value to the electric automobile at any moment; />Is T m+1 The electric automobile inputs a normalized value of a current predicted value to the power distribution network at any moment;
if the predicted value of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is obtainedIf the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is greater than or equal to 0.5, the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network can support the normal operation of the power distribution network at the next moment, and the power distribution network is required to be increased to input active power into the electric automobile for energy storage;
if the predicted value of the charging and discharging inertia supporting capacity index of the electric automobile of the power distribution network is obtainedAnd the charging and discharging inertia supporting capacity of the electric automobile of the power distribution network is smaller than 0.5, and the charging quantity of the electric automobile is required to be increased to input active power into the power distribution network or the charging quantity of the electric automobile is reduced to enhance the running stability of the power distribution network.
6. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction method according to claim 1, characterized by comprising the following steps: DNEVC (digital electronic visual analysis) of electric automobile charge and discharge inertia supporting capacity index model of power distribution network ISCI The method comprises the following steps:
wherein T is 1 ,T 2 ,...,T z ,...,T m M times of fixed time intervals, wherein m is a natural number, m e 1,2, …, z is a z time, and z is a natural number, z e {1,2, …, m };is T z Total load power of the power distribution network at moment; />Is T z The power distribution network inputs active power to the electric automobile at any moment; />Is T z The electric automobile inputs active power to the power distribution network at any moment; p (P) C,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum value of the measured value of the total load power of the power distribution network in the m fixed time intervals; p (P) Eb,max Is T 1 ,T 2 ,...,T z ,...,T m The power distribution network inputs the maximum value of active power measurement values to the electric automobile in the moments of the m fixed time intervals; p (P) Be,max Is T 1 ,T 2 ,...,T z ,...,T m The electric automobile inputs the maximum value of active power measurement values to the power distribution network at the moment of the m fixed time intervals; />Is T z The frequency of the power distribution network at any moment; f (f) E,max Is T 1 ,T 2 ,...,T z ,...,T m The maximum of the power distribution network frequency measurements at the m fixed time intervals.
7. Power distribution network electric automobile charge and discharge inertia supporting capability index prediction unit, characterized by: the system comprises a basic data measurement module, a power distribution network and a power distribution network, wherein the basic data measurement module is used for measuring all parameters of the charge and discharge inertia supporting capacity of the electric automobile of the power distribution network;
the model training module is used for supporting a capacity index model DNEVC of charging and discharging inertia of the electric automobile of the power distribution network ISCI Training is carried out;
and the prediction module is used for predicting the charge and discharge inertia supporting capacity of the electric automobile of the power distribution network at the next moment.
8. The power distribution network electric automobile charge and discharge inertia supporting capacity index prediction device according to claim 7, characterized in that: the model training module comprises a modeling unit, a normalization processing unit and a predicted value acquisition unit.
9. A computer-readable storage medium, characterized by: the computer readable storage medium stores a computer program, which when executed by a processor, implements the method for predicting the charge and discharge inertia supporting capability index of the electric automobile of the power distribution network according to any one of claims 1 to 6.
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