CN112232620A - Energy storage system typical work cycle curve extraction method applied to optical storage charging station - Google Patents
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Abstract
The invention relates to a typical work cycle curve extraction method of an energy storage system applied to a light storage charging station, which is characterized in that energy storage and energy storage are carried out at the time of off-peak electricity price and peak clipping and valley filling are carried out at the time of load fluctuation according to the angle of an electric power system and the operation characteristics of the light storage charging station at different time intervals, so that the typical work cycle curve of the energy storage system is extracted, the problem of peak adding in practical application is effectively avoided, and the stability of the electric power system is improved; through the load shaping at I, II time intervals, the finally obtained equivalent load curve is always larger than zero, so that the typical work cycle curve of the energy storage system is extracted, the problem that the energy of the optical storage charging station is sent back to the power grid in practical application is effectively avoided, and the stability of the power system is further improved; the energy storage charging time interval is distributed in the off-peak electricity price time interval as far as possible, so that the energy storage charging cost is reduced, and the running economy of the light storage charging station is improved.
Description
Technical Field
The invention relates to the technical field of energy storage system operation, in particular to a typical work cycle curve extraction method of an energy storage system applied to an optical storage charging station.
Background
The structure of the optical storage charging station, which is called a photovoltaic-energy storage integrated rapid charging station, is shown in figure 1, and comprises a photovoltaic system, an energy storage system and a charging system, wherein the photovoltaic system is used as a main power source of an electric vehicle load in the charging system, and the energy storage system is configured to realize power balance. The specific process is as follows: when the photovoltaic output is greater than the charging load, the photovoltaic array provides electric energy required by the load and also charges the energy storage system, and redundant electric energy is stored in the energy storage system; when the photovoltaic output is smaller than the charging load, the energy storage system discharges to provide electric energy together with the photovoltaic array, and the load requirement is met. Under most conditions, the optical storage charging station is connected with a public power grid, and power can be supplied by the public power grid when necessary, so that the power supply reliability of the optical storage charging station is improved. However, for power system stability considerations, power companies typically do not allow the energy in the optical storage charging stations to flow to the utility grid.
The prior chinese invention patent CN106779340A proposes a method for extracting a typical operating condition curve of an energy storage system, which obtains the typical operating condition curve of the energy storage system by using the probability distribution of energy storage charge and discharge power and combining with a genetic algorithm. However, if the method is directly applied to the extraction of the typical working curve of the energy storage system of the optical storage charging station, there may be problems of peak adding and energy reverse delivery on the peak, which brings risks to the stability of the power system.
Disclosure of Invention
The invention provides a typical work cycle curve extraction method of an energy storage system applied to an optical storage charging station, aiming at the problem of stable operation of the energy storage system in a power system, and solving the problems of peak-to-peak and energy back-off at the public connection point of the optical storage charging station and a power grid.
The technical scheme of the invention is as follows: a typical work cycle curve extraction method of an energy storage system applied to an optical storage charging station specifically comprises the following steps:
1) obtaining an original equivalent load curve f based on photovoltaic output data and charging load data of each sampling point under typical working conditions of the optical storage charging stationL0–t;
2) For the load curve fL0-t, performing power smoothing treatment to obtain an equivalent load curve f after power smoothingL1-t;
3) Incorporating said load curve fL1T, dividing a whole-day work cycle into a period I and a period II according to the valley power price and the load fluctuation condition, wherein the period I is an energy storage valley power price charging period, and the period II is a peak clipping valley filling period; presetting a load upper limit value epsilon in a charging period of energy storage valley price, and a load curve fL1The I-period portions of-t are all in the interval (0, ∈)]Internal;
4) setting the upper limit f of load during peak clipping and valley filling period by considering the capacity of transformermaxAnd a lower limit fmin,fminIs greater than 0; upper limit of load fmaxAnd a lower limit fminFor the load curve fL1The part of the period II in the period T is subjected to peak clipping and valley filling, and an equivalent load curve f is reservedL1The I time section of t, obtaining the equivalent load curve f after II time shapingL2–t;
5) Based on the load curve fL2T energy storage charging and discharging conditions in the period II, judging the initial electric quantity which the energy storage system should have at the beginning of the period II, reserving the stored energy in the period I according to the initial electric quantity in the period II, and carrying out electric quantity reservation on a load curve fL2Energy storage charging power superposition is carried out in the period I in the period t, and an equivalent load curve f is reservedL2The II period part of t, obtaining the I period shaped equivalent load curve fL3-t;
6) According to the sampling time point, the load curve fL3T and load curve fL0The difference is made between t and t to obtain a typical work period curve f of the energy storage systemES-t。
The power smoothing processing method in the step 2) is as follows:
2.1) reading the original equivalent load curves f in sequenceL0Power of each sample point in-tValue fL0(t1)、…、fL0(ti)、…、fL0(tN) Where i is 1,2, …, N, denotes the ith sample point number, N denotes the total number of sample points, tiRepresenting the moment corresponding to the ith sampling point;
2.2) setting a smooth bandwidth D, wherein D is a positive integer; obtaining an equivalent load curve f after power smoothingL1T, the calculation formula is as follows:
the method for calculating the initial electric quantity in the step 5) comprises the following steps:
5.1) calculating the energy storage charge and discharge power f of each sampling moment in the period IIⅡ(tII,on)、…、fⅡ(tII,off) Wherein charging is positive and discharging is negative;
fII(ti)=fL2(ti)-fL1(ti);
5.2) calculating the initial electric quantity W which the energy storage system should have at the beginning of the II period0The unit is kW.h;
in the formula: Δ t is the number of sampling time interval minutes; i.e. iII,on、iII,offThe serial numbers of the first and the last sampling points of the II time period respectively
The invention has the beneficial effects that: the method for extracting the typical work cycle curve of the energy storage system applied to the optical storage charging station is used for extracting the typical work cycle curve of the energy storage system according to the angle of an electric power system and by combining the operation characteristics of the optical storage charging station in different time periods, performing energy storage in a valley price time period and performing peak clipping and valley filling in a load fluctuation time period, thereby effectively avoiding the problem of peak adding in practical application and improving the stability of the electric power system; through the load shaping at I, II time intervals, the finally obtained equivalent load curve is always larger than zero, so that the typical work cycle curve of the energy storage system is extracted, the problem that the energy of the optical storage charging station is sent back to the power grid in practical application is effectively avoided, and the stability of the power system is further improved; the energy storage charging time interval is distributed in the off-peak electricity price time interval as far as possible, so that the energy storage charging cost is reduced, and the running economy of the light storage charging station is improved.
Drawings
Fig. 1 is a schematic structural view of a conventional optical storage charging station;
FIG. 2 is a schematic flow diagram of the process of the present invention;
FIG. 3 is a graph showing an original equivalent load curve f obtained in the example of the present inventionL0-a t-plot;
FIG. 4 is a power-smoothed equivalent load curve f obtained in the embodiment of the present inventionL1-a t-plot;
FIG. 5 is a graph showing an equivalent load curve f obtained in the example of the present invention after the II period shapingL2-a t-plot;
FIG. 6 is a graph showing an equivalent load curve f obtained in the embodiment of the present invention after the I-period shapingL3-a t-plot;
FIG. 7 is a typical duty cycle curve f of the energy storage system obtained in the embodiment of the inventionES-t-graph.
Detailed Description
The method for extracting the typical duty cycle curve of the energy storage system applied to the optical storage charging station as shown in fig. 2 comprises the following steps:
s1, obtaining an original equivalent load curve f based on photovoltaic output data and charging load data of each sampling point under typical working conditions of the optical storage charging stationL0–t;
S2, for the load curve fL0-t, performing power smoothing treatment to obtain an equivalent load curve f after power smoothingL1-t;
S3, combining the load curve fL1T, dividing a whole-day work cycle into a period I and a period II according to the valley power price and the load fluctuation condition, wherein the period I is an energy storage valley power price charging period, and the period II is a peak clipping valley filling period; presetting the upper limit value of the load in the charging period of the energy storage low-ebb electricity priceEpsilon, the load curve fL1The I-period portions of-t are all in the interval (0, ∈)]Internal;
s4, setting the upper limit f of load during peak clipping and valley filling period by considering the capacity of the transformermaxAnd a lower limit fmin(fmin> 0), upper limit f) of useful loadmaxAnd a lower limit fminFor the load curve fL1The part of the period II in the period t is subjected to peak clipping and valley filling, and a load curve f is reservedL1The I time section of t, obtaining the equivalent load curve f after II time shapingL2–t;
S5 based on the load curve fL2T energy storage charging and discharging conditions in the period II, judging the initial electric quantity which the energy storage system should have at the beginning of the period II, reserving the stored energy in the period I according to the initial electric quantity in the period II, and carrying out electric quantity reservation on a load curve fL2Energy storage charging power superposition is carried out in the period I in the period t, and an equivalent load curve f is reservedL2The II period part of t, obtaining the I period shaped equivalent load curve fL3-t;
S6, according to the sampling time point, the load curve fL3T and load curve fL0The difference is made between t and t to obtain a typical work period curve f of the energy storage systemES-t。
In this embodiment, taking a certain sea light storage and charging station as an example, the working cycle is set to be one day, and photovoltaic output and charging load data sampling is performed every 5 minutes, so that 288 time points are sampled.
1) According to the photovoltaic output data f of each sampling point of the photovoltaic storage charging station under typical working conditionsPV(t1)、fPV(t2)、…、fPV(t288) And charging load data fEV(t1)、fEV(t2)、…、fEV(t288) Combining the formula (1) to obtain the equivalent load data f of each sampling time pointL0(t1)、fL0(t2)、…、fL0(t288) Thereby obtaining an original equivalent load curve fL0-t is as shown in figure 3.
fL0(ti)=fEV(ti)-fPV(ti) (1)
In the formula, ti(i-1, 2, …,288) indicates the time at which the ith sampling point corresponds, e.g. t72Corresponding time of 6:00, t73The corresponding time was 6: 05.
2) Setting the smooth bandwidth D to 3, combining equation (2), and fitting the load curve fL0-t, performing power smoothing treatment to obtain an equivalent load curve f after power smoothingL1-t is as shown in figure 4.
3) When the time interval of the off-peak electricity price in Shanghai city is 22:00-6:00, referring to the attached figure 4, if the time interval of 22:00-24:00 is selected for energy storage charging, the phenomenon of 'peak-to-peak' of the load is caused, and when the time interval of 0:00-8:00 is in the off-peak time interval, the load is relatively gentle, and the energy storage charging is suitable. However, consider the load curve fL1T is close to zero and gradually decreases from 6:00, and peak clipping and valley filling are started before 6:00 or 6:00 in order to prevent the energy of the optical storage charging station from being sent back to the power grid.
And (3) setting the upper limit value epsilon of the load in the charging period of the energy storage valley price as f by combining the analysisL1(0:00), selecting the time interval I (I is 1,2, …,72) at 0:00-6:00 and the time interval II (I is 73,74, …,288) at 6:00-24:00, wherein the time interval I is used for energy storage charging, and the time interval II is used for peak clipping and valley filling.
4) The optical storage charging station in this embodiment is provided with 1 100kVA transformer, and sets the upper limit f of load during peak clipping and valley filling periodsmaxAnd a lower limit fmin80% and 20%, respectively, of the transformer capacity, i.e. fmax=80kW、fmin20kW, combined formula (3), versus load curve fL1The part of II time period in-t is subjected to peak clipping and valley filling to obtain an equivalent load curve f after the shaping of the II time periodL2-t is as shown in figure 5.
In the formula: 73,74, …, 288.
5) The combination formula (4) is used for calculating the energy storage charge and discharge power f of each sampling moment in the II periodⅡ(t73)、fⅡ(t74)、…、fⅡ(t288) Wherein charging is positive and discharging is negative;
fII(ti)=fL2(ti)-fL1(ti) (4)
the combination formula (5) is used for calculating the initial electric quantity W which the energy storage system should have at the beginning of the II time period0The unit is kW.h;
in the formula: Δ t is the number of sampling time interval minutes; i.e. iII,on、iII,offThe serial numbers of the first and the last sampling points in the period II are respectively. In this embodiment: Δ t ═ 5, iII,on=73,iII,off=288。
Considering that initial electric quantity storage is carried out on the stored energy in the period I and the capacity attenuation is accelerated due to long-time charging and discharging of the stored energy, the stored energy standing period is set to be 5:00-6:00 so as to prolong the service life of the stored energy. And (3) obtaining the energy storage charging power P with the energy storage of 0:00-5:00 by adopting a constant power charging mode and combining the formula (6).
In the formula: t ischIs the charging time length, i.e. the difference between the time length of the I period and the time length of the standing. In this example, Tch=5h。
Combined formula (7) versus load curve fL2Energy storage charging power superposition is carried out in the period I in the period T to obtain an equivalent load curve f after the period I is shapedL3-t is as shown in figure 6.
In the formula: i.e. iI,on、iI,offThe serial numbers of the first sampling point and the last sampling point of the I time period are respectively; i.e. istay,on、istay,offThe serial numbers of the first sampling point and the last sampling point of the energy storage standing time period are respectively. In this embodiment: i.e. iI,on=1,iI,off=72,istay,on=61,istay,off=72。
6) According to the load curve fL3T and load curve fL0-t, in combination with equation (8), resulting in a typical duty cycle curve f for the energy storage systemES-t is as shown in figure 7.
fES(ti)=fL3(ti)-fL0(ti) (8)
In the formula: i is 1,2, …, 288.
According to the method, the energy storage and accumulation are carried out at the time of the off-peak electricity price by the angle of the electric power system and combining the operation characteristics of the optical energy accumulation charging station at different time intervals, and the peak clipping and valley filling are carried out at the time of the load fluctuation, so that the typical work cycle curve of the energy accumulation system is extracted, and the problem of peak adding in the practical application is effectively avoided; on the other hand, through the load shaping in the I, II time period, the finally obtained equivalent load curve is always larger than zero, so that the typical work cycle curve of the energy storage system is extracted, and the problem that the energy of the optical storage charging station is reversely fed into the power grid in practical application is effectively avoided. By combining the two points, the method can better ensure the stability of the power system. In addition, the energy storage charging time interval is distributed in the off-peak electricity price time interval, the energy storage charging cost can be reduced, and the running economy of the light storage charging station is improved.
Claims (3)
1. A typical work cycle curve extraction method of an energy storage system applied to an optical storage charging station is characterized by comprising the following steps:
1) obtaining an original equivalent load curve f based on photovoltaic output data and charging load data of each sampling point under typical working conditions of the optical storage charging stationL0–t;
2) For the load curve fL0-t, performing power smoothing treatment to obtain an equivalent load curve f after power smoothingL1-t;
3) Incorporating said load curve fL1T, dividing a whole-day work cycle into a period I and a period II according to the valley power price and the load fluctuation condition, wherein the period I is an energy storage valley power price charging period, and the period II is a peak clipping valley filling period; presetting a load upper limit value epsilon in a charging period of energy storage valley price, and a load curve fL1The I-period portions of-t are all in the interval (0, ∈)]Internal;
4) setting the upper limit f of load during peak clipping and valley filling period by considering the capacity of transformermaxAnd a lower limit fmin,fminIs greater than 0; upper limit of load fmaxAnd a lower limit fminFor the load curve fL1The part of the period II in the period T is subjected to peak clipping and valley filling, and an equivalent load curve f is reservedL1The I time section of t, obtaining the equivalent load curve f after II time shapingL2–t;
5) Based on the load curve fL2T energy storage charging and discharging conditions in the period II, judging the initial electric quantity which the energy storage system should have at the beginning of the period II, reserving the stored energy in the period I according to the initial electric quantity in the period II, and carrying out electric quantity reservation on a load curve fL2Energy storage charging power superposition is carried out in the period I in the period t, and an equivalent load curve f is reservedL2The II period part of t, obtaining the I period shaped equivalent load curve fL3-t;
6) According to the sampling time point, the load curve fL3T and load curve fL0The difference is made between t and t to obtain a typical work period curve f of the energy storage systemES-t。
2. The method for extracting the typical duty cycle curve of the energy storage system applied to the optical energy storage and charging station as claimed in claim 1, wherein the step 2) power smoothing method comprises the following steps:
2.1) reading the original equivalent load curves f in sequenceL0Power value f at each sample point in-tL0(t1)、…、fL0(ti)、…、fL0(tN) Where i is 1,2, …, N, denotes the ith sample point number, N denotes the total number of sample points, tiRepresenting the moment corresponding to the ith sampling point;
2.2) setting a smooth bandwidth D, wherein D is a positive integer; obtaining an equivalent load curve f after power smoothingL1T, the calculation formula is as follows:
3. the method for extracting the typical duty cycle curve of the energy storage system applied to the optical storage charging station as claimed in claim 2, wherein the initial electric quantity calculating method in step 5) is as follows:
5.1) calculating the energy storage charge and discharge power f of each sampling moment in the period IIⅡ(tII,on)、…、fⅡ(tII,off) Wherein charging is positive and discharging is negative;
fII(ti)=fL2(ti)-fL1(ti);
5.2) calculating the initial electric quantity W which the energy storage system should have at the beginning of the II period0The unit is kW.h;
in the formula: Δ t is the number of sampling time interval minutes; i.e. iII,on、iII,offThe serial numbers of the first and the last sampling points in the period II are respectively.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104062958A (en) * | 2014-06-16 | 2014-09-24 | 国家电网公司 | Smart home optimization method based on dynamic load management |
CN104901579A (en) * | 2015-06-26 | 2015-09-09 | 青岛海能阿尔派轨道电力设备工程科技有限公司 | Four-quadrant current-variable regeneration energy inversion feedback device |
CN105958520A (en) * | 2016-05-24 | 2016-09-21 | 中国农业大学 | Operation control strategy for storage battery energy storage system in power distribution network |
CN106779340A (en) * | 2016-12-01 | 2017-05-31 | 中国电力科学研究院 | A kind of extracting method and its evaluation system of energy-storage system typical condition curve |
CN110429624A (en) * | 2019-08-12 | 2019-11-08 | 万克能源科技有限公司 | A kind of energy accumulation capacity configuration applied to data center's energy-storage system |
WO2023060815A1 (en) * | 2021-10-12 | 2023-04-20 | 广西电网有限责任公司电力科学研究院 | Energy storage capacity optimization configuration method for improving reliability of power distribution network |
-
2020
- 2020-08-20 CN CN202010844107.XA patent/CN112232620B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104062958A (en) * | 2014-06-16 | 2014-09-24 | 国家电网公司 | Smart home optimization method based on dynamic load management |
CN104901579A (en) * | 2015-06-26 | 2015-09-09 | 青岛海能阿尔派轨道电力设备工程科技有限公司 | Four-quadrant current-variable regeneration energy inversion feedback device |
CN105958520A (en) * | 2016-05-24 | 2016-09-21 | 中国农业大学 | Operation control strategy for storage battery energy storage system in power distribution network |
CN106779340A (en) * | 2016-12-01 | 2017-05-31 | 中国电力科学研究院 | A kind of extracting method and its evaluation system of energy-storage system typical condition curve |
CN110429624A (en) * | 2019-08-12 | 2019-11-08 | 万克能源科技有限公司 | A kind of energy accumulation capacity configuration applied to data center's energy-storage system |
WO2023060815A1 (en) * | 2021-10-12 | 2023-04-20 | 广西电网有限责任公司电力科学研究院 | Energy storage capacity optimization configuration method for improving reliability of power distribution network |
Non-Patent Citations (1)
Title |
---|
唐巍 等: "考虑微能网聚合整形和资产利用率提升的配电网规划", 《电力***自动化》, vol. 47, no. 08, pages 89 - 98 * |
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