CN109460870B - Cluster electric automobile interaction method considering blocking - Google Patents
Cluster electric automobile interaction method considering blocking Download PDFInfo
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Abstract
The application relates to a cluster electric vehicle interaction method considering blocking. And judging whether the branch power of the branch exceeds the preset power value and judging whether the node voltage of each node exceeds the preset voltage value according to the planned dispatching power. And if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating the blocking electricity price according to the blocking electricity price model. And adjusting the planned dispatching power according to the blocking electricity price. According to the cluster electric vehicle interaction method considering the blocking, the branch power and the node voltage are fully considered, and the load peak value and the blocking of the power distribution network are avoided by restricting and guiding the distributed power utilization resources which are merged into the power grid in a large scale.
Description
Technical Field
The application relates to the technical field of power distribution system scheduling, in particular to a cluster electric vehicle interaction method considering blocking.
Background
Along with the continuous rising of the proportion of distributed resources such as an electric system, a photovoltaic power generation system and an energy storage system for an electric vehicle in a power distribution network and the continuous promotion of the reform of the power market, the scale and frequency of the interaction between the distributed resources and the power distribution network are increased.
The main body of the active power distribution network market structure is a power distribution system scheduling mechanism and a charging and discharging facility operator. And the power distribution system dispatching mechanism signs a charging and discharging contract with the charging and discharging facility operator to realize the control of the charging and discharging facility operator on the charging and discharging of the charging and discharging facility operator. And the charge and discharge facility operator signs a charge and discharge contract with the terminal user to realize the control of the charge and discharge of the terminal user by the charge and discharge facility operator.
The grid system includes a plurality of nodes and a branch including the nodes. Distributed resources such as an electric system, a photovoltaic power generation system and an energy storage system for the electric vehicle are merged into a power grid, so that the branch power of a power grid branch is influenced, and the node voltage of a power grid node is influenced. If the distributed power utilization resources incorporated into the power grid in a large scale are not restricted or guided, the load peaks and the blockage of the power distribution network are possibly caused, and the operation of the power distribution network and the power utilization equipment connected with the power distribution network is threatened.
Disclosure of Invention
Based on this, it is necessary to provide a cluster electric vehicle interaction method considering blocking, aiming at the problem that distributed power utilization resources incorporated into a power grid in a large scale are not restricted and guided, and load peaks and blocking of the power distribution grid are possibly caused, so that a threat is caused to the operation of the power distribution grid and power utilization equipment connected with the power distribution grid.
A method for clustered electric vehicle interaction with congestion considerations, the grid including a plurality of nodes and a branch including the nodes, comprising:
s100, obtaining scheduling time of a plurality of nodes of a power grid and planned scheduling power of the nodes corresponding to the scheduling time;
s200, judging whether the branch power of the branch exceeds a power preset value or not according to the planned scheduling power, and judging whether the node voltage of each node exceeds a voltage preset value or not;
s300, if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating the blocking electricity price according to the blocking electricity price model.
In one embodiment, the scheduled power includes electric power for an electric vehicle, generated power, and stored energy power, and the step S200 further includes:
s210, obtaining the basic power of the node;
s220, calculating node power through a node power formula based on the electric power for the electric vehicle, the generated power and the stored energy power,
calculating a negative value of the sum of the node power and the basic power to obtain node injection power;
s230, obtaining the branch power through a branch power formula based on the node injection power,
obtaining the node voltage through a node voltage formula based on the node injection power;
s240, judging whether the branch power exceeds the power preset value, and judging whether the node voltage exceeds the voltage preset value.
In one embodiment, in the step S300, calculating the blocking power rate according to the blocking power rate model includes:
s310, establishing the blocking electricity price model;
and S320, calculating the blocking electricity price according to the blocking electricity price model.
In one embodiment, the S320 step includes:
s321, obtaining electric quantity scheduling total power through an electric quantity scheduling total power formula based on the node injection power and the node voltage;
s322, calculating a derivative of the node power of the total power dispatching power, and calculating the node marginal electricity price through a node marginal electricity price formula;
and S323, obtaining a basic electricity price, and subtracting the basic electricity price by using the node marginal electricity price to obtain the node blocking electricity price.
In one embodiment, in the step S220, the node power formula is:
in the formula: m is an electric quantity scheduling subunit, i is the node, t is the scheduling time, PEV(m, i, t) is the electric power for the electric vehicle in the i node, t time period of the mth electric quantity scheduling subunitPV,cur(m, i, t) is the generated power P of the mth electric quantity scheduling subunit in the i node and the t time periodESS(m, i, t) is the energy storage power N of the mth electric quantity scheduling subunit in the i node and the t time periodmScheduling the total number of subunits, P, for poweragg(i, t) is the node power for node i during the t scheduling time;
calculating the node injection power through the node injection power formula, wherein the node injection power formula is as follows:
Pinj(i,t)＝-[PL(i,t)+Pagg(i,t)] (2)
in the formula：PL(i, t) is the base power, P, of node i during tinj(i, t) injects power for node i into the node of the grid for a period t.
In one embodiment, in step S230, the branch power formula is:
in the formula: n is a radical ofjTotal number of nodes, P, for the jth branchj(t) the injected power of the jth branch during a time t;
the node voltage formula is as follows:
V(i,t)＝1+Pinj(i,t)Ri+Qinj(i,t)Xi (4)
in the formula: qinj(i, t) is the injected reactive power of node i into the grid during t, RiIs a resistance, XiIs an impedance.
In one embodiment, in step S240, the formula for checking whether the branch power exceeds the limit is:
-Pj,max≤Pj(t)≤Pj,max (5)
in the formula: fj-iFor the transmission of a distribution factor of DC power, Pj,maxRepresenting the power preset value of branch j;
the formula for checking whether the node voltage exceeds the limit is:
Vmin≤V(i,t)≤Vmax (6)
in the formula: vminUpper limit value, V, of said voltage preset value for node imaxIs the lower limit value of the voltage preset value of the node i.
In one embodiment, in step S321, the power scheduling total power formula is:
in the formula: l is the total power, lambda, of the electric quantity scheduling1And λ2Is the power-dependent electricity price factor, mu1And mu2Is a voltage dependent electricity price factor.
In one embodiment, in the step S322, the node marginal electricity price formula is:
in the formula: y isDLMPMarginal price of electricity for said node, yconThe blocking electricity rate and the base electricity rate are y.
In one embodiment, in step S323, the node blocking electricity price formula is:
the cluster electric vehicle interaction method considering blocking provided by the embodiment of the application. And judging whether the branch power of the branch exceeds the preset power value and judging whether the node voltage of each node exceeds the preset voltage value according to the planned dispatching power. And if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating the blocking electricity price according to the blocking electricity price model. And adjusting the planned dispatching power according to the blocking electricity price. According to the cluster electric vehicle interaction method considering the blocking, the branch power and the node voltage are fully considered, and the load peak value and the blocking of the power distribution network are avoided by restricting and guiding the distributed power utilization resources which are merged into the power grid in a large scale.
Drawings
FIG. 1 is a flow chart of a method of clustered electric vehicle interaction with congestion considerations provided in an embodiment of the present application;
FIG. 2 is a flow chart of determining whether the branch power and the node voltage exceed limits as provided in one embodiment of the present application;
FIG. 3 is a flow chart of the block electricity price model provided in one embodiment of the present application;
FIG. 4 is a flow chart of a calculation of the block electricity price model provided in an embodiment of the present application;
FIG. 5 is a parameter flow diagram of a clustered electric vehicle interaction method with congestion taken into account as provided in an embodiment of the present application;
FIG. 6 is a flowchart illustrating operation of a clustered electric vehicle interaction method with congestion taken into account as provided in one embodiment of the present application;
FIG. 7 is a flow diagram of the planned scheduled power allocation provided in one embodiment of the present application;
fig. 8 is a flow chart of parameters of the planned scheduled power allocation provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, an embodiment of the present application provides a method for cluster electric vehicle interaction considering congestion. The grid comprises a plurality of nodes and branches comprising the nodes, and the cluster electric vehicle interaction method considering blocking is characterized by comprising the following steps:
s100, obtaining scheduling time of a plurality of nodes of the power grid and planned scheduling power of the nodes corresponding to the scheduling time.
S200, judging whether the branch power of the branch exceeds a power preset value or not according to the planned scheduling power, and judging whether the node voltage of each node exceeds a voltage preset value or not.
S300, if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating the blocking electricity price according to the blocking electricity price model.
The cluster electric vehicle interaction method considering blocking provided in the embodiment of the application is an interaction response adjustment method between the power distribution system dispatching mechanism and the charging and discharging facility operators. And judging whether the branch power of the branch exceeds the preset power value and judging whether the node voltage of each node exceeds the preset voltage value according to the planned dispatching power. And if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating the blocking electricity price according to the blocking electricity price model. And adjusting the planned dispatching power according to the blocking electricity price. According to the cluster electric vehicle interaction method considering blocking, the branch power and the node voltage can be regulated and controlled, large-scale power grid distributed power utilization resources are restrained and guided, and load peaks and blocking of a power distribution network are avoided.
In step S100, the power of the node during different time periods is different, so the scheduled power of the second day is also different according to the different time periods. In step S200, the branch power may be total power of electric energy flowing through all the electric terminals on the branch in the same time period. The node voltage is the voltage value of the end user at the node in the same time period. In step S300, the blocking power rate model may correlate the branch power and the node voltage with the blocking power rate. The higher the branch power and the higher the node voltage, the more expensive the blocking electricity price.
Referring also to fig. 2, in one embodiment, the scheduled power includes electric power for an electric vehicle, generated power, and stored energy power. The step S200 further includes:
s210, obtaining the basic power of the node.
And S220, calculating node power through a node power formula based on the electric power for the electric vehicle, the generated power and the stored energy power.
And calculating a negative value of the sum of the node power and the basic power to obtain the node injection power.
And S230, obtaining the branch power through a branch power formula based on the node injection power.
And obtaining the node voltage through a node voltage formula based on the node injection power.
S240, judging whether the branch power exceeds the power preset value, and judging whether the node voltage exceeds the voltage preset value.
The planned scheduled power includes the electric power for the electric vehicle, the generated power, and the stored energy power. The electric power for the electric vehicle is power used when electric energy is converted into energy of other forms. The generated power is generated by a fan or photovoltaic power generation equipment. The energy storage power is the power of the energy storage equipment during charging and discharging.
The basic power of the node is the basic power used at the node when the distributed resource power used by the node is not included. In one embodiment, the node is connected with a household electric appliance and the like. The basic power is generated when the electricity consumption of the household electric equipment in a day does not change greatly along with the time.
Referring to fig. 3, in one embodiment, in the step S300, calculating the blocking power rate according to the blocking power rate model includes:
and S310, establishing the blocking electricity price model.
And S320, calculating the blocking electricity price according to the blocking electricity price model.
In the step S310, establishing the blocking power rate model is to establish a corresponding relationship between the branch power and the node voltage and the blocking power rate. The blocking tariff can be obtained by substituting the branch power and the node voltage into the blocking tariff model.
Referring to fig. 4, in an embodiment, the step S320 includes:
and S321, obtaining the total power of electric quantity scheduling by an electric quantity scheduling total power formula based on the node injection power and the node voltage.
And S322, calculating a derivative of the node power of the total power dispatching power, and calculating the node marginal electricity price through a node marginal electricity price formula.
And S323, obtaining a basic electricity price, and subtracting the basic electricity price by using the node marginal electricity price to obtain the node blocking electricity price.
Referring to fig. 5, in one embodiment, in the step S220, the node power formula is:
in the formula: m is an electric quantity scheduling subunit, namely the charge and discharge facility operator, i is the node, t is the scheduling time, PEV(m, i, t) is the electric power for the electric vehicle in the i node, t time period of the mth electric quantity scheduling subunitPV,cur(m, i, t) is the generated power P of the mth electric quantity scheduling subunit in the i node and the t time periodESS(m, i, t) is the energy storage power N of the mth electric quantity scheduling subunit in the i node and the t time periodmScheduling the total number of subunits, P, for poweraggAnd (i, t) is the node power of the i node in the t scheduling time, namely the external output power of the i node in the t scheduling time.
In the formula (1) [ P ]EV(m,i,t)+PPV(m,i,t)+PESS(m,i,t)]And represents the sum of the electric power for the electric vehicle, the generated power and the stored energy power of the mth electric quantity scheduling subunit in the inode t scheduling time. The formula (1) represents that the charging and discharging powers of all the electric quantity scheduling subunits in the scheduling time of the i node t are summed to obtain PaggAnd (i, t) is the node power of the i node in the t scheduling time, namely the external output power of the i node in the t scheduling time.
Calculating the node injection power through the node injection power formula, wherein the node injection power formula is as follows:
Pinj(i,t)＝-[PL(i,t)+Pagg(i,t)] (2)
in the formula: pL(i, t) is the base power, P, of node i during t scheduling timesinj(i, t) injecting power for node i at said node for a period t. The injected power is the power input to the grid. The maximum value of the node injection power carried by the power grid line is related to the parameters of the power grid line.
In one embodiment, in step S230, the branch power formula is:
in the formula: n is a radical ofjTotal number of nodes, P, for the jth branchj(t) the injection power of the jth branch during the period t, Fj-iAre Power Transfer Distribution Factors (PTDF).
The node voltage formula is as follows:
V(i,t)＝1+Pinj(i,t)Ri+Qinj(i,t)Xi (4)
in the formula: qinj(i, t) is the injected reactive power of node i into the grid during t, RiIs a resistance, XiIs an impedance. PinjAnd (i, t) injecting active power into the power grid at the node i in a period t, wherein the active power is electric power required for keeping the electric equipment normally running, and electric energy is converted into electric power of other forms of energy (mechanical energy, light energy and heat energy). Reactive power is the electric power that establishes and maintains a magnetic field in an electrical device, enabling the conversion of electric field energy and magnetic field energy within the circuit.
In one embodiment, in step S240, the formula for checking whether the branch power exceeds the limit is:
-Pj,max≤Pj(t)≤Pj,max (5)
in the formula: fj-iFor the transmission of a distribution factor of DC power, Pj,maxRepresenting said power preset value of branch j.
When the branch power exceeds a maximum value, overheating of the branch line may result. Local overheating of the branch circuit causes circuit burnout and even burnout of the electric equipment. And controlling the branch power within the range of the preset power value through a formula (5), so that the overhigh branch power is avoided when the user terminal is intensively used. And furthermore, the safety of the terminal electric equipment is effectively ensured.
The formula for checking whether the node voltage exceeds the limit is:
Vmin≤V(i,t)≤Vmax (6)
in the formula: vminIs the upper limit value, V, of said voltage preset value of node imaxIs the lower limit of the preset voltage value of node i.
When the current generated by the power generation equipment is imported into the power grid, the voltage of the node is caused to rise. When the node voltage exceeds the maximum value, not only can electric equipment be directly burnt out, but also insulation measures can be caused to fail, and even a fire disaster can be caused.
In one embodiment, in step S321, the power scheduling total power formula is:
in the formula: l is the total power, lambda, of the electric quantity scheduling1And λ2Is the power-dependent electricity price factor, mu1And mu2Is a voltage dependent electricity price factor.
In one embodiment, in the step S322, the node marginal electricity price formula is:
in the formula: y isDLMPMarginal price of electricity for said node, yconThe blocking electricity rate and the base electricity rate are y.
In one embodiment, in step S323, the node blocking electricity price formula is:
referring to fig. 6, the power distribution system dispatching mechanism obtains dispatching times of a plurality of nodes of a power grid and planned dispatching powers of the nodes corresponding to the dispatching times from a plurality of charging and discharging facility operators, and obtains the blocking electricity price through the cluster electric vehicle interaction method considering blocking. Under the influence of the blocking electricity price, the charging and discharging facility operator may adjust the scheduling time and the planned scheduling power of the node corresponding to the scheduling time.
Referring to fig. 7, in an embodiment, before the step S100, the method further includes:
and S010, the electric quantity scheduling subunit obtains the scheduling time and the planned scheduling power of the node corresponding to the scheduling time according to the electricity price estimation model.
And the charging and discharging facility operator calculates the minimum total price of the total scheduling electric quantity of the charging and discharging facility operator according to the power price empirical value and the planned scheduling power of the node one day before power utilization. And the charge and discharge facility operator can select the time period with the minimum total electricity price to predict and schedule the electric quantity to form an initial electricity utilization plan. And the charging and discharging facility operator reports the scheduling time and the planned scheduling power of the node corresponding to the scheduling time to the power distribution system scheduling mechanism.
In one embodiment, after the step S300, the power distribution system dispatching mechanism feeds back the node blocking electricity price to the charging and discharging facility operator, that is, the total dispatching center feeds back the node blocking electricity price to the electricity quantity dispatching subunit, and the electricity quantity dispatching subunit performs the following steps:
and S400, correcting the scheduling time and the scheduled scheduling power of the node corresponding to the scheduling time based on the node blocking electricity price.
In one embodiment, the S400 and S010 steps include:
and S410, obtaining the planned dispatching power of the node corresponding to the optimal dispatching time according to a power utilization optimization formula based on the minimum principle of the total power price of the power dispatching subunit.
And S420, distributing the electric power for the electric vehicle, the generated power and the stored energy power according to an electric quantity distribution formula based on the planned scheduling power of the node corresponding to the optimal scheduling time.
And S430, judging whether the redistributed electric power for the electric automobile is larger than a preset electric power value for the electric automobile, and judging whether the electric charge quantity of an electric automobile system corresponding to the electric power for the electric automobile is within the preset electric charge quantity range for the electric automobile.
And judging whether the charge and discharge power is within the range of charge and discharge power preset values or not, and judging whether the charge value of the charge and discharge system corresponding to the charge and discharge power is within the range of charge and discharge preset values or not.
And judging whether the generated power is greater than a preset generated power value.
And S440, if the redistributed electric power for the electric vehicle is larger than a preset value of the electric power for the electric vehicle, returning to the step S430 and redistributing the electric quantity.
And if the electric charge quantity of the electric vehicle system corresponding to the redistributed electric power for the electric vehicle is not within the preset range of the electric charge quantity for the electric vehicle, returning to the step S430 and redistributing the electric quantity.
And if the redistributed charge and discharge power is not within the preset range of charge and discharge power, returning to the step S430 to redistribute the electric quantity.
And if the charge value of the charge-discharge system corresponding to the redistributed charge-discharge power is not within the charge preset value range of charge-discharge, returning to the step S430, and redistributing the electric quantity.
And if the redistributed generated power is larger than the preset generated power value, returning to the step S430 to redistribute the electric quantity.
Referring to fig. 8, in one embodiment, the formula used in step S430 is;
and applying the electricity utilization constraint formula, judging whether the redistributed electric power for the electric vehicle is larger than a preset electric power value for the electric vehicle, and judging whether the electricity utilization charge quantity of an electric vehicle system corresponding to the electric power for the electric vehicle is within the preset electric charge quantity range for the electric vehicle. The electricity utilization constraint formula is as follows:
0≤PEV(m,i,t)≤PEV,max (12.1)
SOCEV,min(m，i)≤SOCEV(m，i，t)≤SOCEV,max(m，i) (12.2)
SOCEV(m,i,t+1)＝SOCEV(m,i,t)+ηPEV(m,i,t)/EEV(m,i) (12.3)
in the formula: pEV,maxScheduling the electric power preset value, SOC, of the subunit for the electric vehicle in the i node and the t time periodEV(m, i, t) is the electric charge quantity and SOC (state of charge) of the electric automobile in the i node and the t time period of the mth electric quantity scheduling subunitEV,minScheduling the minimum value, SOC (state of charge) of the preset value of the electric charge quantity for the electric vehicle of the subunit in the i node and t time period for the mth electric quantityEV,maxScheduling the maximum value, E, of the preset value of the electric charge quantity for the electric vehicle of the subunit in the i node and the t time periodEVAnd (m, i) is the sum of the power utilization capacities of the mth power scheduling subunit in the i node and the t time period, and eta is the charging efficiency of the electric vehicle.
In an embodiment, equation (12.1) is a charging power constraint equation for the cluster electric vehicle. The formula (12.1) limits the charging power of the cluster electric automobile to be 0 and the maximum range of the charging power of the cluster electric automobile, so that the phenomenon that the charging power of the cluster electric automobile is too large and a line is damaged is prevented. And the formula (12.2) is a constraint formula of the battery state of charge of the cluster electric automobile. And (12.2) limiting the electricity consumption of the cluster electric automobile within the preset value range of the electricity consumption of the electric automobile, and preventing the over-charge and over-discharge of the battery of the electric automobile so as to prolong the service life of the battery. And the formula (12.3) represents the change of the electric charge quantity of the electric automobile along with the electricity consumption time.
And judging whether the charge and discharge power is within the charge and discharge power preset value range or not by applying a charge and discharge constraint formula, and judging whether the charge value of the charge and discharge system corresponding to the charge and discharge power is within the charge and discharge preset value range or not. The charge-discharge constraint formula is as follows:
PESS，min(m,i)≤PESS(m,i,t)≤PESS，max(m,i) (13.1)
SOCESS，min(m,i)≤SOCESS(m,i,t)≤SOCESS，max(m,i) (13.2)
SOCESS(m,i,t+1)＝SOCESS(m,i,t)+PESS(m,i,t)/EESS(m,i) (13.3)
SOCESS(m,i,1)＝SOCESS(m,i,24) (13.4)
in the formula: pESS,minScheduling the minimum value, P, of the preset values of the charge and discharge power of the subunit in the i node and the t time period for the mth electric quantityESS,maxScheduling the maximum value of the preset values of the charge and discharge power of the subunit in the i node and the t time period, namely SOC (state of charge)ESS(m, i, t) is the charge value and SOC of the charge-discharge system of the mth electric quantity scheduling subunit in the i node and the t time periodESS,minScheduling the minimum value of the charge preset values, SOC, of the charge-discharge system of the sub-unit on the i node for the mth electric quantityESS,maxAnd scheduling the maximum value of the charge preset values of the charge and discharge system of the sub unit on the i node for the mth electric quantity.
In one embodiment, the charging and discharging system is an energy storage battery. And the formula (13.1) is a charge-discharge power constraint formula of the energy storage battery. And (13.1) limiting the charging and discharging power of the energy storage battery between the maximum value and the minimum value of the preset charging and discharging power value, and preventing the excessive charging and discharging power of the energy storage battery from causing the circuit to generate heat. Meanwhile, the situation that the power is insufficient and the node voltage is too low due to the fact that the charging and discharging power of the energy storage battery is too small is avoided. And (13.2) a constraint formula of the charge value of the energy storage battery. Equation (13.2) defines the charge value of the energy storage battery between the maximum value and the minimum value of the preset charge value of the energy storage battery. And (13.3) changing the charging and discharging power of the energy storage battery along with the charging and discharging time. The expression (13.4) shows that the initial state and the final state of the energy storage battery are consistent in one day, so that the energy storage battery is maintained in a stable state, and the function of adjusting the local electric energy of the power grid is realized.
And judging whether the generated power is greater than a generated power preset value or not by applying the generated power constraint formula, wherein the generated power constraint formula is as follows:
0≤PPV(m,i,t)≤PPV,max (14.1)
PPV(m,i,t)＝PPV，max(m,i,t)-PPV，cur(m,i,t) (14.2)
in the formula: pPV,maxScheduling the upper limit value, P, of the preset value of the generated power of the subunit in the i node and the t time period for the mth electric quantityPV,cur(m, i, t) are the generated power reduction values of the mth electric quantity scheduling subunit in the i node and the t time period respectively.
The generated power is generated when the power generation system transmits electric quantity to the power grid. In one embodiment, the power generation system is a photovoltaic power generation system. Equation (14.1) is a constraint equation of the generated power of the photovoltaic power generation system. Equation (14.1) limits the generated power between 0 and the upper limit of the generated power preset value. The problem that the photovoltaic power generation system is over high in power of electric quantity transmitted to a power grid to cause line burnout is avoided.
In one embodiment, two charging and discharging facility operators are selected as agregator 1 and agregator 2 respectively. The Aggregator1 and the Aggregator2 are respectively provided with an electric automobile power utilization port, a photovoltaic power generation port and an energy storage battery port which are connected with the power grid at different nodes. The Aggregator1 has the photovoltaic scale of 3 x 500kW and is respectively connected to nodes 17, 21 or 25 of the power grid; the Aggregator1 possesses 3 x 150 electric vehicles which are respectively connected to nodes 18, 22 or 24 of the power grid; the Aggregator1 has the energy storage battery size of 3 x 500 kW.h and is respectively connected to the node 21 or 25 of the power grid. The Aggregator2 has the photovoltaic scale of 3 x 500kW and is respectively connected to nodes 16, 17 or 33 of the power grid; the agregator 2 possesses 3 x 150 electric vehicles, which are respectively connected to nodes 17, 23 or 25 of the power grid; the Aggregator2 has the energy storage battery size of 3 x 500 kW.h and is respectively connected to the node 16 or 33 of the power grid. The distribution of the electric vehicle, the photovoltaic and the energy storage cell is shown in table 1.
TABLE 1 distribution of electric vehicles, photovoltaic and energy storage cells
And counting main stream brand distributed electric equipment to obtain related parameters of the electric automobile, the photovoltaic and the energy storage battery, as shown in table 2.
TABLE 2 electric vehicle, photovoltaic and energy storage cell relevant parameters
The load rate of the line is the ratio of the load power of the line to the maximum load power of the line, namely Pj/Pj,max. The load rate model of the power grid which does not adopt the blocking control method is type 1, the load rate model of the power grid which adopts the blocking control method of the line capacity is type 2, and the load rate model of the power grid which adopts the blocking control method of the active power distribution method is type 3. Table 3 shows the line load rate for the line 22 over the day.
TABLE 3 line 22 Total day line load Rate
From table 3, it can be seen that when the blocking control method is not applied to the grid, the load rate of the line 22 exceeds 100% at 0:00, 1:00, 2:00, 3:00, 4:00, 5:00, and 23: 00. At 4:00, the load rating of line 22 is as high as 188.20%. After the blocking control method of the line capacity and the blocking control method of the active power distribution method are adopted in the power grid, the load rate of any time period in the power grid does not exceed 100%, and the power distribution results of the two methods are the same. After the blocking control method of the active power distribution method is adopted in the power grid, the load rates of 0:00, 1:00, 2:00, 3:00, 4:00, 17:00, 18:00, 19:00, 20:00, 21:00, 22:00 and 23:00 are all 100%, and reasonable power distribution is achieved.
Table 4 shows the statistical results of the per-day node voltage values of the node 18. (per unit value is a numerical value marking method commonly used in power system analysis and engineering calculation, and represents a relative value of each physical quantity and parameter.) in a power system, the normal range of the node voltage per unit value is between 0.95 and 1.05. As seen from table 4, when the blocking control method is not used and the blocking control method of the line capacity is used in the power grid, the node voltage per unit value of the node 22 is greater than 1.05 or less than 0.95 at different time intervals. After the active power distribution method is adopted in the power grid, the voltage per unit value of the node is between 0.95 and 1.05. As shown in table 4, the active power distribution method of the present application can effectively control the node voltage to be within the optimal circuit flowing range.
TABLE 4 node 18 full day node Voltage
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for clustered electric vehicle interaction with congestion considerations, a power grid comprising a plurality of nodes and branches comprising said nodes, comprising:
s100, obtaining scheduling time of a plurality of nodes of a power grid and planned scheduling power of the nodes corresponding to the scheduling time;
s200, obtaining node injection power, branch power of the branch and node voltage of each node according to the planned scheduling power, judging whether the branch power of the branch exceeds a power preset value, and judging whether the node voltage of each node exceeds a voltage preset value;
s300, if the branch power exceeds the power preset value or the node voltage exceeds the voltage preset value, calculating a blocking electricity price according to a blocking electricity price model, wherein the step of calculating the blocking electricity price according to the blocking electricity price model comprises the following steps:
s321, obtaining electric quantity scheduling total power through an electric quantity scheduling total power formula based on the node injection power and the node voltage;
s322, calculating a derivative of the node power of the total power dispatching power, and calculating the node marginal electricity price through a node marginal electricity price formula;
and S323, obtaining a basic electricity price, and subtracting the basic electricity price by using the node marginal electricity price to obtain the node blocking electricity price.
2. The congestion-considered clustered electric vehicle interaction method of claim 1, wherein the planned scheduled power comprises electric power for electric vehicles, generated power and stored energy power, the step S200 further comprising:
s210, obtaining the basic power of the node;
s220, calculating the node power through a node power formula based on the electric power for the electric vehicle, the generated power and the stored energy power,
calculating a negative value of the sum of the node power and the basic power to obtain the node injection power;
s230, obtaining the branch power through a branch power formula based on the node injection power,
obtaining the node voltage through a node voltage formula based on the node injection power;
s240, judging whether the branch power exceeds the power preset value, and judging whether the node voltage exceeds the voltage preset value.
3. The clustered electric vehicle interaction method considering congestion as claimed in claim 2, wherein in the step S220, the node power formula is:
in the formula: m is an electric quantity scheduling subunit, i is the node, t is the scheduling time, PEV(m, i, t) is the electric power for the electric vehicle in the i node, t time period of the mth electric quantity scheduling subunitPV,cur(m, i, t) is the generated power P of the mth electric quantity scheduling subunit in the i node and the t time periodESS(m, i, t) is the energy storage power N of the mth electric quantity scheduling subunit in the i node and the t time periodmScheduling the total number of subunits, P, for poweragg(i, t) is the node power for node i during the t scheduling time;
and calculating the node power of the node in the time period by accumulating the electric power for the electric vehicle, the generated power and the stored energy power generated by the distributed resources in the same time period of the node.
4. The clustered electric vehicle interaction method considering blocking according to claim 3, wherein in the step S220, the node injection power is calculated by the node injection power formula:
Pinj(i,t)＝-[PL(i,t)+Pagg(i,t)] (2)
in the formula: pL(i, t) is the base load of node i during t, Pinj(i, t) injects power for the node i during the period t into the grid.
5. The clustered electric vehicle interaction method considering congestion as claimed in claim 4, wherein in the step S230, the branch power formula is:
in the formula: n is a radical ofjTotal number of nodes, P, for the jth branchj(t) is the injected power of the jth branch during the t period.
6. The clustered electric vehicle interaction method considering blocking as claimed in claim 5, wherein in the step S230, the node voltage formula is:
V(i,t)＝1+Pinj(i,t)Ri+Qinj(i,t)Xi (4)
in the formula: qinj(i, t) is the injected reactive power of node i into the grid during t, RiIs a resistance, XiIs an impedance.
7. The clustered electric vehicle interaction method of considering congestion as claimed in claim 6, wherein in said step S240, the formula for checking whether said branch power exceeds a limit is:
-Pj,max≤Pj(t)≤Pj,max(5) in the formula: fj-iFor the transmission of a distribution factor of DC power, Pj,maxRepresenting the power preset value of branch j;
the formula for checking whether the node voltage exceeds the limit is:
Vmin≤V(i,t)≤Vmax (6)
in the formula: vminUpper limit value, V, of said voltage preset value for node imaxIs the lower limit value of the voltage preset value of the node i.
8. The clustered electric vehicle interaction method considering congestion as claimed in claim 7, wherein in step S321, the total power scheduling power formula is:
in the formula: l is the total power, lambda, of the electric quantity scheduling1And λ2Is the power-dependent electricity price factor, mu1And mu2Is a voltage dependent electricity price factor.
9. The clustered electric vehicle interaction method considering blocking as claimed in claim 8, wherein in the step S322, the node marginal electricity price formula is:
in the formula: y isDLMPMarginal price of electricity for said node, yconThe blocking electricity rate and the base electricity rate are y.
10. The clustered electric vehicle interaction method considering congestion as claimed in claim 9, wherein in the step S323, the node congestion electricity price formula is:
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