CN109004677B - Charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow - Google Patents
Charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow Download PDFInfo
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Abstract
The invention relates to a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow, which realizes the quantity configuration of charging piles and is used for charging electric vehicles. Realize electric automobile through little electric wire netting and to the utilization of consuming on the spot of renewable energy power generation, can reduce the adverse effect that the two inserts the electric wire netting alone and cause, moreover, combine photovoltaic power generation capacity and campus mobile vehicle to confirm the electric pile quantity that fills of actual demand, can realize the cost minimum, the investment is minimum, the effect that the utilization ratio is the highest to and electric vehicle becomes mutually as portable power source cooperation photovoltaic power generation, the electrovalence of utilizing peak valley is poor, can realize individual and the maximize of group's income.
Description
Technical Field
The invention relates to a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow, and belongs to the technical field related to charging pile quantity configuration in special occasions.
Background
Currently, with the rapid development of global economy, the large consumption of non-renewable energy sources, especially fossil energy sources, causes global warming and environmental pollution. How to reduce the consumption of fossil energy, reduce the emission of greenhouse gases and pollution gases and solve the global problems of global warming and sustainable development of human society. The rapidly developed solar photovoltaic power generation technology becomes an important means for solving the problem. On the other hand, the popularization and application of electric vehicles have become one of effective measures to solve the global energy crisis and environmental pollution problems. In 2012 to 2016, the new energy automobile output and sales volume is increased from 1.3 ten thousand to 50 ten thousand, and the annual composite growth rate reaches 150%. In 2020, the total amount of new energy automobiles in China is planned to be about 500 thousands. The quantity of electric vehicles is greatly increased, the demand of charging infrastructure is also increased, and the planning of charging piles is urgent. However, the electric vehicle as a high-power electric device has the characteristics of randomness, intermittence and the like in the charging behavior, and the access of a large-scale electric vehicle charging pile provides great challenges for the normal operation of a power grid.
Meanwhile, as about 75% of electric energy in China is generated by coal, and the electric automobile is charged through a power grid, the carbon emission is not lower than that of the traditional fuel oil automobile, and the dependence on the traditional fossil fuel is difficult to reduce. Under the condition, a microgrid with renewable energy sources such as photovoltaic power generation as main energy sources provides a brand-new solution for the access of electric automobiles. Under the microgrid environment, realize electric automobile and renewable energy's organic integration, all have the promotion effect to the application of the two, help improving the economy and the environmental benefit of whole operation: the renewable energy power generation can reduce the dependence of the electric automobile on fossil fuel and realize low carbon in the true sense; the electric automobile can help to solve the intermittent problem of renewable energy sources, and the cost of energy storage is reduced. The electric automobile can be used for consuming and utilizing renewable energy power generation on site through the micro-grid, and adverse effects caused by the fact that the electric automobile and the renewable energy power generation are independently connected into the power grid can be reduced.
To realize electric automobile's popularization, its construction that fills electric pile is first and foremost in the beginning, and how accurate the realization fills laying of electric pile quantity, no matter be the cost to electric automobile's popularization, still promote the effect, will all be significant.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow, which combines multiple influencing factors, can accurately analyze and acquire the charging pile configuration quantity, and provides the charging pile arrangement working efficiency.
The invention adopts the following technical scheme for solving the technical problems: the invention designs a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow, which is used for realizing acquisition of the quantity of charging piles in a target area and comprises the following steps:
a, arranging photovoltaic power generation panels on the basis of all building roofs in a target area, and determining the number M of charging piles corresponding to photovoltaic power generation application in the target area; meanwhile, based on the fact that the electric vehicle enters the target area and directly carries out charging operation, the number N of charging piles corresponding to the charging requirement of the electric vehicle in the target area is determined; then entering the step B;
b, judging whether the number M of the charging piles corresponding to the photovoltaic power generation application in the target area is larger than the number N of the charging piles corresponding to the charging requirement of the electric vehicle in the target area, and if so, determining that the number of the final charging piles in the target area is N; otherwise, determining that the number of the final charging piles in the target area is M.
As a preferred technical solution of the present invention, in the step a, photovoltaic power generation panels are arranged on the basis of all building roofs in the target area, and the number M of charging piles corresponding to the photovoltaic power generation application in the target area is determined according to the following steps a11 to a 15;
step A11, arranging photovoltaic power generation panels on the basis of all building roofs in a target area, respectively obtaining the maximum power generation p per hour corresponding to all the photovoltaic power generation panels within the illumination duration of each day according to the preset statistical cycle days, and then entering step A12;
step A12, according to the illumination scale factor K of each illumination hour in the preset dayiFor the number of days of the preset statistical cycle, according to KiXp, respectively obtaining the power generation amount of all the photovoltaic power generation panels in each day corresponding to each illumination hour, and then entering the step A13;
step A13, according to the generated energy of all the photovoltaic power generation panels corresponding to each day and each illumination hour within the preset statistical cycle days, combining the stored electricity capacity of a single charging pile and the state that the stored electricity quantity of the charging pile is 0, obtaining the number of the charging piles corresponding to the photovoltaic power generation applications within each day and each illumination hour within the preset statistical cycle days, and then entering the step A14;
step A14, obtaining the average value of the charging pile numbers respectively corresponding to the photovoltaic power generation applications in each day and each illumination hour according to the number of the charging piles respectively corresponding to the photovoltaic power generation applications in each day and each illumination hour in the preset statistical cycle days by an averaging method, namely obtaining the charging pile number respectively corresponding to each illumination hour in a single day, and then entering the step A15;
and A15, determining the number M of the charging piles corresponding to photovoltaic power generation application in the target area according to the number of the charging piles corresponding to each illumination hour in a single day.
As a preferred embodiment of the present invention, the step a15 includes the following steps:
step A15-1, aiming at the illumination scale factor K of each illumination hour in the preset dayiCarrying out normalization updating to obtain an illumination proportion normalization factor k of each illumination hour in a dayi，k1+…+ki+…+kII denotes the number of hours of light in a day, then step a 15-2;
step A15-2, normalizing the illumination proportion of each illumination hour in a day by a factor kiAnd respectively serving as the charging pile number weight corresponding to each illumination hour in a single day according to the time sequence, and carrying out weighting processing on the charging pile number corresponding to each illumination hour in the single day, so as to obtain the charging pile number M corresponding to the photovoltaic power generation application in the target area.
As a preferred embodiment of the present invention, the step a15 includes the following operations:
and (3) removing the maximum value and the minimum value according to the charging pile number corresponding to each illumination hour in a single day, and then carrying out average calculation processing on the rest values to obtain the charging pile number M corresponding to photovoltaic power generation application in the target area.
As a preferred technical solution of the present invention, in the step a, based on the fact that the electric vehicle enters the target area and directly performs the charging operation, the number N of charging piles corresponding to the charging demand of the electric vehicle in the target area is determined according to the following steps a21 to a 24;
step A21, respectively counting the number of electric vehicles driving into each hour and target area of each day according to the number of preset counting period days, directly performing charging operation based on the electric vehicles driving into the target area, counting the electric quantity required by the electric vehicles charging each day and each hour according to the electric quantity chargeable by the electric vehicles connected with a charging pile, and then entering the step A22;
step A22, counting the number of charging piles required for charging the electric vehicle for each day and each hour based on the full-charge state of the charging piles according to the electric quantity required for charging the electric vehicle for each day and each hour in the preset counting period days, and then entering the step A23;
step A23, obtaining the average value of the number of the charging piles respectively required for each day and each same hour according to the number of the charging piles required for charging the electric vehicle for each day and each hour in the preset statistical cycle days by an averaging method, namely obtaining the number of the charging piles respectively required for charging the electric vehicle for each hour in a single day, and then entering the step A24;
and A24, determining the number N of charging piles corresponding to the charging requirements of the electric vehicles in the target area according to the number of the charging piles respectively required for charging the electric vehicles in each hour in a single day.
As a preferred embodiment of the present invention, the step a24 includes the following operations:
and (3) removing the maximum value and the minimum value according to the number of charging piles required by the charging of the electric vehicle in each hour in a single day, and then carrying out average calculation processing according to the remaining values to obtain the number N of the charging piles corresponding to the charging demand of the electric vehicle in the target area.
Compared with the prior art, the charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow has the following technical effects:
the charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow realizes the quantity configuration of the charging piles, is used for charging electric vehicles, can reduce the consumption of fossil energy through photovoltaic power generation, reduces the emission of greenhouse gases and pollution gases, solves the problems of global warming and sustainable development of human society, can assist in solving the intermittent problem of renewable energy through reasonable configuration of electric vehicle energy storage, and reduces the cost of energy storage. Realize electric automobile through little electric wire netting and to the utilization of consuming on the spot of renewable energy power generation, can reduce the adverse effect that the two inserts the electric wire netting alone and cause, moreover, combine photovoltaic power generation capacity and campus mobile vehicle to confirm the electric pile quantity that fills of actual demand, can realize the cost minimum, the investment is minimum, the effect that the utilization ratio is the highest to and electric vehicle becomes mutually as portable power source cooperation photovoltaic power generation, the electrovalence of utilizing peak valley is poor, can realize individual and the maximize of group's income.
Drawings
FIG. 1 is a schematic diagram of a photovoltaic application flow in a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow according to the design of the invention;
FIG. 2 is a schematic view of the distribution of the illumination scale factor at each illumination hour of a predetermined day;
FIG. 3 is a schematic diagram of an electric vehicle charging demand application flow in a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow according to the present invention;
FIG. 4 is a schematic flow chart illustrating a method for configuring the number of charging piles based on photovoltaic power generation and electric vehicle traffic according to the present invention;
fig. 5 is a strategy diagram of an application example of the charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow.
Detailed Description
The following description will explain embodiments of the present invention in further detail with reference to the accompanying drawings.
The invention designs a charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow, which is used for acquiring the quantity of charging piles in a target area, and in the practical application process, as shown in figure 4, the method specifically comprises the following steps:
a, arranging photovoltaic power generation panels on the basis of all building roofs in a target area, and determining the number M of charging piles corresponding to photovoltaic power generation application in the target area; meanwhile, based on the fact that the electric vehicle enters the target area and directly carries out charging operation, the number N of charging piles corresponding to the charging requirement of the electric vehicle in the target area is determined; then step B is entered.
In the step a, the photovoltaic panels are installed on the basis of all the roofs of the buildings in the target area, and as shown in fig. 1, the number M of the charging piles corresponding to the photovoltaic application in the target area is determined according to the following steps a11 to a15.
Step A11, arranging photovoltaic power generation panels on the basis of all building roofs in the target area, respectively obtaining the maximum power generation p in one hour corresponding to all the photovoltaic power generation panels in the illumination duration of each day according to the preset statistical cycle days, and then entering step A12.
Step A12, based on the graph shown in FIG. 2, according to the preset illumination scale factor K of each illumination hour in a dayiFor the number of days of the preset statistical cycle, according to KiAnd x p, respectively obtaining the power generation amount of all the photovoltaic power generation panels corresponding to each illumination hour in each day, and then entering the step A13.
Step A13, according to the generated energy of all the photovoltaic power generation panels corresponding to each day and each illumination hour within the preset statistical cycle days, combining the stored electricity capacity of a single charging pile and the state that the stored electricity quantity of the charging pile is 0, obtaining the number of the charging piles corresponding to the photovoltaic power generation applications within each day and each illumination hour within the preset statistical cycle days, and then entering the step A14.
Step A14, obtaining the average value of the charging pile numbers respectively corresponding to the photovoltaic power generation applications in each day and each illumination hour in the preset statistical cycle days according to the averaging method, namely obtaining the charging pile numbers respectively corresponding to each illumination hour in a single day, and then entering the step A15.
And A15, determining the number M of the charging piles corresponding to photovoltaic power generation application in the target area according to the number of the charging piles corresponding to each illumination hour in a single day.
For the operation of the step a15, two implementation schemes are specifically designed, one of which includes the following steps:
step A15-1, aiming at the illumination scale factor K of each illumination hour in the preset dayiCarrying out normalization updating to obtain an illumination proportion normalization factor k of each illumination hour in a dayi，k1+…+ki+…+kII denotes the number of hours of light in a day, and then proceeds to step a15-2.
Step A15-2, normalizing the illumination proportion of each illumination hour in a day by a factor kiAnd respectively serving as the charging pile number weight corresponding to each illumination hour in a single day according to the time sequence, and carrying out weighting processing on the charging pile number corresponding to each illumination hour in the single day, so as to obtain the charging pile number M corresponding to the photovoltaic power generation application in the target area.
The second one comprises the following operations:
and (3) removing the maximum value and the minimum value according to the charging pile number corresponding to each illumination hour in a single day, and then carrying out average calculation processing on the rest values to obtain the charging pile number M corresponding to photovoltaic power generation application in the target area.
In practical application, the operation of the step a15 can be realized by the two methods, and the number M of charging piles corresponding to the photovoltaic power generation application in the target area is determined.
In the step a, the electric vehicle enters the target area and directly performs the charging operation, and as shown in fig. 3, the number N of charging piles corresponding to the charging demand of the electric vehicle in the target area is determined according to the following steps a21 to a24.
Step A21, respectively counting the number of electric vehicles driving into each hour and target area of each day according to the number of preset counting period days, directly performing charging operation based on the electric vehicles driving into the target area, counting the electric quantity required by the electric vehicles charging each day and each hour according to the electric quantity chargeable by the electric vehicles connected with the charging pile, and then entering step A22.
And A22, counting the number of charging piles required for charging the electric vehicles in each day and each hour based on the full-charge state of the charging piles according to the electric quantity required for charging the electric vehicles in each day and each hour in the preset counting period days, and then entering the step A23.
Step A23, obtaining the average value of the number of the charging piles respectively required for each day and each same hour according to the number of the charging piles required for charging the electric vehicle for each day and each hour in the preset statistical cycle days by an averaging method, namely obtaining the number of the charging piles respectively required for charging the electric vehicle for each hour in a single day, and then entering the step A24.
And A24, determining the number N of charging piles corresponding to the charging requirements of the electric vehicles in the target area according to the number of the charging piles respectively required for charging the electric vehicles in each hour in a single day. The specific operation is as follows: and (3) removing the maximum value and the minimum value according to the number of charging piles required by the charging of the electric vehicle in each hour in a single day, and then carrying out average calculation processing according to the remaining values to obtain the number N of the charging piles corresponding to the charging demand of the electric vehicle in the target area.
B, judging whether the number M of the charging piles corresponding to the photovoltaic power generation application in the target area is larger than the number N of the charging piles corresponding to the charging requirement of the electric vehicle in the target area, and if so, determining that the number of the final charging piles in the target area is N; otherwise, determining that the number of the final charging piles in the target area is M.
Based on the design method, the number of the final charging piles in the target area can be determined based on photovoltaic power generation and electric vehicle flow, and the number is used for realizing the setting of the charging piles in the target area.
Based on the charging pile settings, such as in practical applications in college areas, as shown in fig. 5, when the photovoltaic power generation power sufficiently matches the charging pile configuration, the charging pile is preferentially charged; and meanwhile, the photovoltaic power generation residual electric quantity is used for supplying power to daily fixed loads such as an air conditioner, a water pump, a test bed and the like in the high school. And secondly, the battery of the electric vehicle of the staff in the school can be used as a mobile power supply, so that the staff is encouraged to charge at night when the electricity price is low, and when the photovoltaic power generation supply is not required in daytime and the residual electric quantity of the electric vehicle of the staff is more than 80%, the power can be flexibly supplied to the fixed load of the school under the voluntary condition of the owner. And colleges and universities have special time periods such as workdays, rest days, cold and summer holidays and the like, and have the following two characteristics: except for working days, the number of workers on duty is greatly reduced, and only a few workers and workers on duty are provided; secondly, most facilities in the campus stop working, so that the power consumption is reduced rapidly, and the daily power load is reduced accordingly. Therefore, photovoltaic power generation can completely meet the requirements of charging piles and campus power utilization, school parties can be open to the outside, and foreign social vehicles are encouraged to charge in schools. Moreover, in the cold and summer holiday time of colleges and universities, seasonal loads, such as more air conditioner energy consumption, and the power utilization peak of the power grid need to be configured with spare capacity, surplus conditions exist in the photovoltaic power generation in the period, the grid-connected power generation can be realized, and the pressure of the power grid is reduced.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (5)
1. A charging pile quantity configuration method based on photovoltaic power generation and electric vehicle flow is used for achieving obtaining of the quantity of charging piles in a target area and is characterized by comprising the following steps:
a, arranging photovoltaic power generation panels on the basis of all building roofs in a target area, and determining the number M of charging piles corresponding to photovoltaic power generation application in the target area; meanwhile, based on the fact that the electric vehicle enters the target area and directly carries out charging operation, the number N of charging piles corresponding to the charging requirement of the electric vehicle in the target area is determined; then entering the step B;
in the step A, arranging photovoltaic power generation panels on the basis of all building roofs in the target area, and determining the number M of charging piles corresponding to photovoltaic power generation application in the target area according to the following steps A11 to A15;
step A11, arranging photovoltaic power generation panels on the basis of all building roofs in a target area, respectively obtaining the maximum power generation p per hour corresponding to all the photovoltaic power generation panels within the illumination duration of each day according to the preset statistical cycle days, and then entering step A12;
step A12, according to the illumination scale factor K of each illumination hour in the preset dayiFor the number of days of the preset statistical cycle, according to KiX p, respectively obtaining the power of all the photovoltaic power generation panels corresponding to each illumination hour in each dayPower, then go to step a 13;
step A13, according to the generated energy of all the photovoltaic power generation panels corresponding to each day and each illumination hour within the preset statistical cycle days, combining the stored electricity capacity of a single charging pile and the state that the stored electricity quantity of the charging pile is 0, obtaining the number of the charging piles corresponding to the photovoltaic power generation applications within each day and each illumination hour within the preset statistical cycle days, and then entering the step A14;
step A14, obtaining the average value of the charging pile numbers respectively corresponding to the photovoltaic power generation applications in each day and each illumination hour according to the number of the charging piles respectively corresponding to the photovoltaic power generation applications in each day and each illumination hour in the preset statistical cycle days by an averaging method, namely obtaining the charging pile number respectively corresponding to each illumination hour in a single day, and then entering the step A15;
step A15, determining the number M of charging piles corresponding to photovoltaic power generation application in a target area according to the number of the charging piles corresponding to each illumination hour in a single day;
b, judging whether the number M of the charging piles corresponding to the photovoltaic power generation application in the target area is larger than the number N of the charging piles corresponding to the charging requirement of the electric vehicle in the target area, and if so, determining that the number of the final charging piles in the target area is N; otherwise, determining that the number of the final charging piles in the target area is M.
2. The method for configuring the number of charging piles based on photovoltaic power generation and electric vehicle traffic as claimed in claim 1, wherein the step a15 comprises the following steps:
step A15-1, aiming at the illumination scale factor K of each illumination hour in the preset dayiCarrying out normalization updating to obtain an illumination proportion normalization factor k of each illumination hour in a dayi，k1+…+ki+…+kII denotes the number of hours of light in a day, then step a 15-2;
step A15-2, normalizing the illumination proportion of each illumination hour in a day by a factor kiRespectively serving as the weight of the number of the charging piles corresponding to each illumination hour in a single day according to the time sequence, and aiming at each illumination in the single dayAnd weighting the charging pile numbers respectively corresponding to the hours to obtain the charging pile number M corresponding to the photovoltaic power generation application in the target area.
3. The method for configuring the number of charging piles based on photovoltaic power generation and electric vehicle traffic as claimed in claim 1, wherein the step a15 comprises the following operations:
and (3) removing the maximum value and the minimum value according to the charging pile number corresponding to each illumination hour in a single day, and then carrying out average calculation processing on the rest values to obtain the charging pile number M corresponding to photovoltaic power generation application in the target area.
4. The method for configuring the number of charging piles based on photovoltaic power generation and electric vehicle traffic according to claim 1, wherein in the step a, based on the fact that the electric vehicle enters the target area and directly performs the charging operation, the number N of charging piles corresponding to the charging demand of the electric vehicle in the target area is determined according to the following steps a21 to a 24;
step A21, respectively counting the number of electric vehicles driving into each hour and target area of each day according to the number of preset counting period days, directly performing charging operation based on the electric vehicles driving into the target area, counting the electric quantity required by the electric vehicles charging each day and each hour according to the electric quantity chargeable by the electric vehicles connected with a charging pile, and then entering the step A22;
step A22, counting the number of charging piles required for charging the electric vehicle for each day and each hour based on the full-charge state of the charging piles according to the electric quantity required for charging the electric vehicle for each day and each hour in the preset counting period days, and then entering the step A23;
step A23, obtaining the average value of the number of the charging piles respectively required for each day and each same hour according to the number of the charging piles required for charging the electric vehicle for each day and each hour in the preset statistical cycle days by an averaging method, namely obtaining the number of the charging piles respectively required for charging the electric vehicle for each hour in a single day, and then entering the step A24;
and A24, determining the number N of charging piles corresponding to the charging requirements of the electric vehicles in the target area according to the number of the charging piles respectively required for charging the electric vehicles in each hour in a single day.
5. The method for configuring the number of charging piles based on photovoltaic power generation and electric vehicle traffic as claimed in claim 4, wherein the step A24 comprises the following operations:
and (3) removing the maximum value and the minimum value according to the number of charging piles required by the charging of the electric vehicle in each hour in a single day, and then carrying out average calculation processing according to the remaining values to obtain the number N of the charging piles corresponding to the charging demand of the electric vehicle in the target area.
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