CN110008644B - Charging station multi-source harmonic estimation method based on classification correction - Google Patents
Charging station multi-source harmonic estimation method based on classification correction Download PDFInfo
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Abstract
The invention relates to a charging station multi-source harmonic estimation method based on classification correction, which is characterized in that a measuring device for automatically detecting the number of charging piles, the residual capacity of a charging automobile battery, the charging mode, the harmonic of the charging current of each charging pile, the harmonic of the charging voltage, the charging stage, the charging time, the total charging current harmonic of a charging station, the charging voltage harmonic and other data is designed, classification processing is carried out according to the change characteristics of the detected charging piles and the total charging station harmonic, then the change rule of the multi-source harmonic characteristics of the charging station along with the number, the structure and the charging stage is automatically given, and the charging station multi-source harmonic estimation method is provided according to the change rules. The invention can determine the law of the change and superposition of the multi-source harmonic waves of the charging station and the estimation method thereof, and provides effective reference for the construction and optimized operation of charging facilities, the harmonic wave treatment of a power grid and the like.
Description
Technical Field
The invention belongs to the field of multi-harmonic source estimation of electric vehicle charging stations, and particularly relates to a charging station multi-source harmonic estimation method based on classification correction.
Background
With the increase of energy and environmental protection pressure and the development of vehicle batteries and electric drive technologies, electric vehicles have been rapidly developed. To meet the important requirements of these electric vehicles, a large number of charging facilities must be established. And the charging station suitable for charging various electric vehicles is also rapidly constructed. Because fill electric pile mechanism and theory of operation make it must produce certain harmonic component in the charging process, and the size of this harmonic component is relevant with the factor such as the structure of filling electric pile, the stage of charging, the number of the electric pile that fills that charges simultaneously. In order to effectively grasp the characteristics of the harmonic components of the charging station and the magnitude of the harmonic distortion rate, effective estimation of the harmonic of the charging station is required so as to take relevant measures. At present, scholars at home and abroad carry out some researches on multi-source harmonic waves of charging stations, but the harmonic wave characteristics of a single charging pile are analyzed mainly by a simulation method, and the multi-source harmonic waves of a plurality of charging piles are estimated mainly according to the method of accumulating each harmonic wave source; but does not consider the harmonic characteristics of the charging pile in different charging stages and the simultaneity and phase among multiple harmonic sources. Therefore, the method for carrying out the multi-source harmonic characteristic test analysis and estimation of the charging station has important significance.
Disclosure of Invention
The invention provides a charging station multi-source harmonic estimation method based on classification correction, which fully considers the change characteristics of the multi-source harmonic of a charging station along with the quantity, the structure, the charging simultaneity and the charging stage of a charging pile, and effectively improves the estimation accuracy of the multi-source harmonic distortion rate of the charging station. The invention can determine the law of the change and superposition of the multi-source harmonic waves of the charging station and the estimation method thereof, and provides effective reference for the construction and optimized operation of charging facilities, the harmonic wave treatment of a power grid and the like.
The invention is realized according to the following technical scheme:
a charging station multi-source harmonic estimation method based on classification correction comprises the following steps:
collecting basic data of the charging stations, such as power supply modes of the charging stations, the number, parameters and control modes of charging piles, charging vehicles and the like;
designing a multi-source harmonic tester with multiple parameters for simultaneous measurement, and measuring relevant parameters of various charging piles of the existing charging station to obtain relevant data of harmonic characteristic analysis and estimation of the charging station;
classifying the charging process of each charging pile, and obtaining the charging time, the average current and the voltage value of the constant current and the constant voltage of each type of charging pile and the charging time, the average current and the voltage value of other three charging stages;
respectively analyzing the harmonic characteristics and the change rules of the constant current charging stages, the constant voltage charging stages and the other three charging stages of the charging piles of different models, and solving the harmonic distortion rate of each stage at different moments;
classifying the harmonic waves of different charging modes and charging stages according to the change rate of the harmonic wave distortion rate of the alternating current input side of each charging pile;
constructing the total charging time of each charging pile in a time period, the time of different charging stages occupying the time period and the probability density of the time period according to the test data; and constructing an estimation method of the multi-source harmonic of the charging station on the basis.
Further, in the third step, the charging process is divided into three stages of constant current, constant voltage and the like according to the detected change characteristics of the charging current and the charging voltage of the direct current side of each charging pile. The division standard is as follows:
when both the formulas (1) and (2) are not satisfied, classifying the compound as other stage;
i is a direct current value at the output side of the charging pile; u-is a direct-current voltage value of the output side of the charging pile;
Ie-outputting a current value for the charging pile rating; u shapee-outputting a voltage value for the charging pile rating;
the values of I and U are obtained by collecting five sampling values of direct current and voltage and removing the average value of the maximum sampling value and the minimum sampling value as the current value and the voltage value at the moment.
T-is the time period for calculating the rate of change, here defined as 1 s;
i5 to 10 percent of I can be taken as a current change rate setting valuee;
uAs a voltage rate-of-change setting valueTaking 10-15% of Ue;
And in subsequent verification, if the precision requirement can be met, continuously correcting and optimizing the division standard.
Further, in step four, the current harmonic distortion rates of the j charging pile at the moment k, namely the constant current, the constant voltage and the other three stages, are respectively recorded as: THDHI.j.k、THDiHU.j.k、THDiQT.j.k(ii) a The voltage harmonic distortion rate is recorded as: THDuHI.j.k、THDuHU.j.k、THDuQT.j.k。
Further, dividing each of the three charging stages into 10 sections according to the division and the duration of the three charging stages, then extracting 1 harmonic distortion rate calculated by the formula (5) from the 10 sections respectively, and then using 10 data to calculate the average value of the harmonic distortion rate of each stage; the current and voltage distortion rates are respectively recorded as THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j;THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j。
Further, harmonic distortion rate calculation of each charging stage when n charging piles are charged simultaneously is carried out:
further, in the fourth step, the correction coefficient c of the harmonic distortion rate when n charging piles are charged simultaneouslyn.jThe formula of (1) is:
THDc is a calculated value obtained by formula (3); THDm is the measured value.
Further, in the fifth step, classifying the harmonic waves of different charging modes and charging stages according to the change rate of the harmonic wave distortion rate of the alternating current input side of each charging pile, and dividing the harmonic waves into three types; the classification of the types is as follows:
wherein: alpha is alpha2The maximum current harmonic distortion rate of the charging pile in the national standard is obtained;
classifying according to a formula (5) according to harmonic distortion rates of constant-current and constant-voltage charging stages of each charging pile; analyzing and summarizing the harmonic distortion rate and classification of each charging pile in each charging stage; based on the harmonic characteristic analysis model, harmonic characteristic analysis models of different types of charging stations can be established;
further, in step six, the estimation method of the multi-source harmonic of the charging station is as follows:
wherein: n is the number of charging piles in the charging station;
Mj-representing a charging phase;
PL.Mj-probability of the lth charging pile in the Mj charging phase;
Cn.Mj-correction factors for n charging piles during simultaneous charging;
IL.Mj-average charging current value of the L charging pile in the Mj charging stage.
The invention has the beneficial effects that:
the method can effectively reveal the law of change and superposition of the multi-source harmonic waves of the power station, improve the accuracy of multi-source harmonic wave estimation of the charging station, and provide effective reference for construction and optimized operation of charging facilities, harmonic wave treatment of a power grid and the like.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in figure 1, the invention provides a charging station multi-source harmonic estimation method based on classification correction, by designing a measuring device for automatically detecting the number of charging piles, the residual capacity of a charging automobile battery, the charging mode, the harmonic of the charging current of each charging pile, the harmonic of the charging voltage, the charging stage, the charging time, the total charging current harmonic of a charging station, the charging voltage harmonic and other data, classifying the data according to the change characteristics of the detected harmonic of each charging pile and the total charging station, and then automatically giving the change rule of the multi-source harmonic characteristics of the charging station along with the number, the structure and the charging stage of the charging piles, and accordingly giving the charging station multi-source harmonic estimation method. The implementation flow is shown in figure 1:
the specific implementation method comprises the following steps:
(1) and collecting the power supply mode of the charging station, the quantity, parameters and control mode of the charging piles, charging vehicle and other charging station basic data.
(2) The design has the multi-source harmonic wave tester of multi-parameter simultaneous measurement's charging station, through having charging pile relevant parameter to each type of charging station and measuring, obtains the relevant data of charging station harmonic characteristic analysis and estimation.
Each charging pile's measured data includes: charging start time, charging end time, alternating current side voltage current and harmonic, direct current side voltage current and the like;
(3) classify charging processes of charging piles
And the charging process is divided into three stages of constant current, constant voltage and the like according to the detected change characteristics of the charging current and the charging voltage of the direct current side of each charging pile. The division standard is as follows:
when both the formulas (1) and (2) are not satisfied, classifying the compound as other stage;
i is a direct current value at the output side of the charging pile; u-is a direct-current voltage value of the output side of the charging pile;
Ie-outputting a current value for the charging pile rating; u shapee-outputting a voltage value for the charging pile rating;
the values of I and U are obtained by collecting five sampling values of direct current and voltage and removing the average value of the maximum sampling value and the minimum sampling value as the current value and the voltage value at the moment.
T-is the time period for calculating the rate of change, here defined as 1 s;
i5 to 10 percent of I can be taken as a current change rate setting valuee;
u10 to 15 percent of U can be taken as a voltage change rate setting valuee;
And in subsequent verification, if the precision requirement can be met, continuously correcting and optimizing the division standard.
(4) Obtaining the charging time, the average current and the voltage value of the constant current and the constant voltage of each type of charging pile and the charging time, the average current and the voltage value of other three charging stages; if the jth charging pile three-stage time is respectively recorded as: t isHL.j、THU.j、TQT.jTotal charging duration is Tj;Tj=THL.j+THU.j+TQT.j;
(5) Respectively analyzing the harmonic characteristics and the change rules of the constant-current charging stages, the constant-voltage charging stages and the other three charging stages of the charging piles of different models, and solving the harmonic distortion rate of each stage at different moments(ii) a If the constant current, the constant voltage and the current harmonic distortion rate of other three stages of the jth charging pile k are respectively recorded as: THDHI.j.k、THDiHU.j.k、THDiQT.j.k(ii) a The voltage harmonic distortion rate is recorded as: THDuHI.j.k、THDuHU.j.k、THDuQT.j.k;
(6) Respectively calculating the average value of harmonic distortion rates of three charging stages
Dividing each of the three charging stages into 10 sections according to the division and the duration of the three charging stages, then extracting 1 harmonic distortion rate calculated by the step (5) from the 10 sections respectively, and then using 10 data to calculate the average value of the harmonic distortion rate of each stage; the current and voltage distortion rates are respectively recorded as THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j;THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j;
(7) Harmonic distortion rate calculation of each charging stage when n charging piles are charged simultaneously
(8) Calculating superposition correction coefficient of each charging stage of multi-source harmonic distortion rate
Correction coefficient c of harmonic distortion rate when n charging piles are charged simultaneouslyn.jIs obtained as shown in equation (4):
THDc is a calculated value obtained by formula (3); THDm is the measured value.
(9) And (4) calculating and comparing the multi-source harmonic distortion rate superposition correction coefficients under different conditions, and when the relative error of the multi-source harmonic distortion rate superposition correction coefficients is larger than (3-7%), carrying out optimization calculation again from the step (3).
(10) Different types of charging piles and classification analysis of characteristics of different charging stages of different types of charging piles
Classifying the harmonic waves of different charging modes and charging stages according to the change rate of the harmonic wave distortion rate of the alternating current input side of each charging pile, and dividing the harmonic waves into three types; the classification of the various types is shown as (5):
wherein: alpha is alpha2The maximum current harmonic distortion rate of the charging pile in the national standard is obtained;
classifying according to a formula (5) according to harmonic distortion rates of constant-current and constant-voltage charging stages of each charging pile; analyzing and summarizing the harmonic distortion rate and classification of each charging pile in each charging stage;
(11) counting specific charging station parameters such as charging time, utilization rate, charging mode, charging pile number, simultaneous charging coefficient and the like of different types of charging stations;
(12) according to the test data, the total charging time of each charging pile in a time period T (such as one day), the time period occupied by the time periods in different charging stages (such as one day) and the probability density P of the time periodL.Mj(ii) a On the basis, an estimation method for constructing the multi-source harmonic waves of the charging station is shown as a formula (6):
wherein: n is the number of charging piles in the charging station;
Mj-representing a charging phase;
PL.Mj-probability of the lth charging pile in the Mj charging phase;
Cn.Mj-correction factors for n charging piles during simultaneous charging;
IL.Mj-average charging current value of the L charging pile in the Mj charging stage.
(13) According to the above-mentioned harmonic distortion rate of charging station voltage and current can be respectively obtained, also can be respectively obtained the distortion rate of every harmonic; the calculation and analysis methods are consistent. Then, the method is respectively compared with national standards to judge whether the requirements are met or not, and optimal measures are taken to treat the disease according to the characteristics of the disease.
The above-mentioned embodiments only express one embodiment of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit and principle of the present invention, and these changes and modifications are within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A charging station multi-source harmonic estimation method based on classification correction is characterized by comprising the following steps:
collecting basic data of the charging stations, such as power supply modes of the charging stations, the number, parameters and control modes of charging piles and charging vehicles;
designing a multi-source harmonic tester with multiple parameters for simultaneous measurement, and measuring relevant parameters of various charging piles of the existing charging station to obtain relevant data of harmonic characteristic analysis and estimation of the charging station;
classifying the charging process of each charging pile, and obtaining the charging time, the average current and the voltage value of the constant current and the constant voltage of each type of charging pile and the charging time, the average current and the voltage value of other three charging stages;
respectively analyzing the harmonic characteristics and the change rules of the constant current charging stages, the constant voltage charging stages and the other three charging stages of the charging piles of different models, and solving the harmonic distortion rate of each stage at different moments;
classifying the harmonic waves of different charging modes and charging stages according to the change rate of the harmonic wave distortion rate of the alternating current input side of each charging pile;
constructing the total charging time of each charging pile in a time period, the time of different charging stages occupying the time period and the probability density of the time period according to the test data; and constructing an estimation method of the multi-source harmonic of the charging station on the basis.
2. The charging station multi-source harmonic estimation method based on classification correction according to claim 1, characterized in that: in the third step, the charging process is divided into a constant current stage, a constant voltage stage and other three stages according to the detected change characteristics of the charging current and the charging voltage of the direct current side of each charging pile, and the division standard is as follows:
when both the formulas (1) and (2) are not satisfied, classifying the compound as other stage;
i is a direct current value at the output side of the charging pile; u-is a direct-current voltage value of the output side of the charging pile; i ise-outputting a current value for the charging pile rating; u shapee-outputting a voltage value for the charging pile rating;
the values of I and U are obtained by collecting five sampling values of direct current and voltage and removing the average value of the maximum sampling value and the minimum sampling value as the current value and the voltage value at the moment;
t-is the time period for calculating the rate of change, here defined as 1 s;
i5 to 10 percent of I can be taken as a current change rate setting valuee;
u10 to 15 percent of U can be taken as a voltage change rate setting valuee;
And in subsequent verification, if the precision requirement can be met, continuously correcting and optimizing the division standard.
3. The charging station multi-source harmonic estimation method based on classification correction according to claim 1, characterized in that: in the fourth step, the constant current, the constant voltage and the current harmonic distortion of the j charging pile at the moment k are respectively recorded as: THDHI.j.k、THDiHU.j.k、THDiQT.j.k(ii) a The voltage harmonic distortion rate is recorded as: THDuHI.j.k、THDuHU.j.k、THDuQT.j.k。
4. The charging station multi-source harmonic estimation method based on classification correction according to claim 3, characterized in that: dividing each of three charging stages into 10 sections according to the division and the duration of the three charging stages, then extracting 1 harmonic distortion rate calculated by a formula (5) from the 10 sections respectively, and then using 10 data to calculate the harmonic distortion rate average value of each stage; the current and voltage distortion rates are respectively recorded as THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j;THDiAVG.HI.j、THDiAVG.HU.j、THDiAVG.QT.j。
5. The charging station multi-source harmonic estimation method based on classification correction according to claim 4, characterized in that: calculating harmonic distortion rates of all charging stages when n charging piles are charged simultaneously:
wherein, IL.Mj-average charging current value of the L charging pile in the Mj charging stage.
6. The charging station multi-source harmonic estimation method based on classification correction according to claim 1, characterized in that: in the fourth step, the correction coefficient c of the harmonic distortion rate when n charging piles are charged simultaneouslyn.jThe formula of (1) is:
THDc is a calculated value obtained by formula (3); THDm is the measured value.
7. The charging station multi-source harmonic estimation method based on classification correction according to claim 1, characterized in that: in the fifth step, classifying the harmonic waves of different charging modes and charging stages according to the change rate of the harmonic wave distortion rate of the alternating current input side of each charging pile, and dividing the harmonic waves into three types; the classification of the types is as follows:
wherein: alpha is alpha2The maximum current harmonic distortion rate of the charging pile in the national standard is obtained;
classifying according to a formula (5) according to harmonic distortion rates of constant-current and constant-voltage charging stages of each charging pile; analyzing and summarizing the harmonic distortion rate and classification of each charging pile in each charging stage; based on the harmonic characteristic analysis model, different types of charging stations can be established.
8. The charging station multi-source harmonic estimation method based on classification correction according to claim 1, characterized in that: in the sixth step, the estimation method of the multi-source harmonic wave of the charging station is as follows:
wherein: n is the number of charging piles in the charging station;
Mj-representing a charging phase;
PL.Mj-probability of the lth charging pile in the Mj charging phase;
Cn.Mj-correction factors for n charging piles during simultaneous charging;
IL.Mj-average charging current value of the L charging pile in the Mj charging stage.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104268798A (en) * | 2014-09-25 | 2015-01-07 | 国家电网公司 | Method for assessing influence on power distribution network from distributed power sources and electric cars |
EP3073634A1 (en) * | 2015-03-23 | 2016-09-28 | ABB Technology AG | A method for determining the operating status of a spring charging motor for a lv or mv switching apparatus and a diagnostic system implementing said method |
CN106026278A (en) * | 2016-07-01 | 2016-10-12 | 吴文坚 | Intelligent monitoring method for charging pile system |
CN106100033A (en) * | 2016-07-01 | 2016-11-09 | 李红彪 | A kind of charging pile system detecting and filtering harmonic wave |
CN107144749A (en) * | 2017-06-16 | 2017-09-08 | 国网四川省电力公司电力科学研究院 | Electric automobile electric charging station electricity quality evaluation method |
CN207039266U (en) * | 2017-08-16 | 2018-02-23 | 山东农业大学 | The off-board DC charging device of electric automobile based on APFC |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107525969A (en) * | 2016-06-21 | 2017-12-29 | 中电普瑞科技有限公司 | A kind of self-adapting type electric harmonic analysis method for merging many algorithms |
CN108146261B (en) * | 2017-11-27 | 2021-03-16 | 国网北京市电力公司 | Fault protection method and device for electric vehicle rapid charging station |
-
2019
- 2019-05-05 CN CN201910360440.0A patent/CN110008644B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104268798A (en) * | 2014-09-25 | 2015-01-07 | 国家电网公司 | Method for assessing influence on power distribution network from distributed power sources and electric cars |
EP3073634A1 (en) * | 2015-03-23 | 2016-09-28 | ABB Technology AG | A method for determining the operating status of a spring charging motor for a lv or mv switching apparatus and a diagnostic system implementing said method |
CN106026278A (en) * | 2016-07-01 | 2016-10-12 | 吴文坚 | Intelligent monitoring method for charging pile system |
CN106100033A (en) * | 2016-07-01 | 2016-11-09 | 李红彪 | A kind of charging pile system detecting and filtering harmonic wave |
CN107144749A (en) * | 2017-06-16 | 2017-09-08 | 国网四川省电力公司电力科学研究院 | Electric automobile electric charging station electricity quality evaluation method |
CN207039266U (en) * | 2017-08-16 | 2018-02-23 | 山东农业大学 | The off-board DC charging device of electric automobile based on APFC |
Non-Patent Citations (1)
Title |
---|
"多电动汽车同时充电模型的仿真结果及谐波分析";黄瑞 等;《仪表技术》;20180215(第2期);第21-23页 * |
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