CN111628514B - Method and device for determining discharge threshold of energy storage device, terminal and storage medium - Google Patents

Method and device for determining discharge threshold of energy storage device, terminal and storage medium Download PDF

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CN111628514B
CN111628514B CN202010460305.6A CN202010460305A CN111628514B CN 111628514 B CN111628514 B CN 111628514B CN 202010460305 A CN202010460305 A CN 202010460305A CN 111628514 B CN111628514 B CN 111628514B
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preset time
peak clipping
time period
discharge threshold
storage device
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CN111628514A (en
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李玉光
王大杰
王存岗
陈鹰
唐英伟
李胜飞
李彦吉
苏伟伟
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Dunshi Magnetic Energy Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention is applicable to the technical field of electrified railways, and particularly relates to a method, a device, a terminal and a storage medium for determining a discharge threshold of an energy storage device, wherein the method comprises the following steps: acquiring a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and acquiring a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping; determining the range of the discharge threshold to be determined according to the maximum value and the minimum value in the first parameter, and selecting WnPerforming peak clipping simulation as a discharge threshold; calculating the discharge threshold as WnThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value; and determining the discharge threshold value of the energy storage device based on the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value. The discharge threshold determined by the method can ensure that the peak clipping effect and the comprehensive effect of the capacity configuration of the energy storage device are optimal.

Description

Method and device for determining discharge threshold of energy storage device, terminal and storage medium
Technical Field
The invention belongs to the technical field of electrified railways, and particularly relates to a method, a device, a terminal and a storage medium for determining a discharge threshold of an energy storage device.
Background
The electrified railway has the development characteristics of high speed and heavy load, and the traction load power is large and the fluctuation is large. The design of the traction transformer needs to meet the requirement of load peak power, so that the transformer has the advantages of large installation capacity redundancy, low utilization rate and high transformer price. When the alternating current transmission train is braked, a large amount of braking energy is generated and directly returned to the power system, and the power department adopts a 'reverse transmission positive counting' charging mode for the returned braking energy, so that the high-efficiency economic operation of the railway department is not facilitated, and the waste of regenerative braking energy is caused. In addition, the electric railway is a single-phase load, and the problem of electric energy quality mainly in a negative sequence exists for a long time.
In order to solve the problems, experts in the industry propose that regenerative braking energy generated by train braking can be recovered by using an energy storage device, and the discharge characteristic of the energy storage device is used for assisting a traction transformer to supply power at a peak of an electric load, so that the braking energy can be effectively utilized for peak clipping, the capacity design of the traction transformer can be reduced, the maximum demand is reduced, the resource waste is reduced, the negative sequence can be reduced, and the electric energy quality is improved.
When the method is applied, the inventor finds that the discharge threshold of the energy storage device is closely related to the peak clipping effect and the design of the transformer capacity. However, in the current concrete engineering application, there is no exact method for setting the threshold of the energy storage device, and after setting various thresholds, the peak clipping effect and the design of the capacity configuration of the energy storage device cannot be guaranteed to be optimal.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a terminal and a storage medium for determining a discharge threshold of an energy storage device, so as to solve the problem that the existing energy storage device lacks a method for determining a discharge threshold, and cannot ensure that a peak clipping effect and a design of capacity allocation of the energy storage device are optimal.
A first aspect of an embodiment of the present invention provides a method for determining a discharge threshold of an energy storage device, where the method includes:
acquiring a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and acquiring a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping;
determining the range of the discharge threshold to be determined according to the maximum value and the minimum value in the first parameter, and selecting WnPerforming peak clipping simulation as a discharge threshold; wherein WnThe discharge threshold value is any value in the range of the discharge threshold value to be determined, and n is a label corresponding to the discharge threshold value;
based on the WnRespectively calculating a third parameter corresponding to each third preset time period in a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping;
respectively calculating a discharge threshold value W according to the third parameter and the fourth parameternThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value;
and determining the discharge threshold value of the energy storage device according to the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value by the energy storage device.
Optionally, the obtaining a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping and obtaining a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping may include:
the method comprises the steps of obtaining average power consumption corresponding to each preset time period in a plurality of second preset time periods in a first preset time period before peak clipping, determining first maximum average power consumption corresponding to each second preset time period according to each average power consumption, and taking the obtained first maximum average power consumption as a first parameter;
and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period before peak clipping, determining second maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained second maximum average power consumption as a second parameter.
Optionally, the base is based on the WnRespectively calculating a plurality of third preset time periods before peak clippingThe third parameter corresponding to each third preset time period and the fourth parameter corresponding to each third preset time period in the plurality of third preset time periods after peak clipping may include:
acquiring the instantaneous power corresponding to each third preset time period in a plurality of third preset time periods before peak clipping, and counting that the value of the instantaneous power corresponding to each third preset time period is larger than WnThe obtained multiple durations are used as a third parameter;
and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period after peak clipping, determining third maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained plurality of third maximum average power consumption as a fourth parameter.
Optionally, the discharge threshold is respectively calculated as W according to the third parameter and the fourth parameternThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value may include:
multiplying the maximum value in the third parameter by the rated power of the energy storage device to obtain a discharge threshold value WnEnergy required by the energy storage device;
obtaining a fifth parameter corresponding to each second preset time period in the plurality of second preset time periods after peak clipping based on the fourth parameters in the plurality of third preset time periods after peak clipping; taking the maximum value of fourth parameters corresponding to a plurality of third preset time periods included in each second preset time period after peak clipping as a fifth parameter of the second preset time period after peak clipping;
correspondingly subtracting a first parameter corresponding to each second preset time period before peak clipping from a fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period;
adding the peak clipping effect values corresponding to each second preset time period to obtain the discharge threshold value WnThe peak clipping effect value.
Optionally, after correspondingly subtracting the first parameter corresponding to each second preset time period before peak clipping from the fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period, the method may further include:
obtaining the number of second preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each second preset time period;
and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the second preset time periods in which the peak clipping is performed.
Optionally, the discharge threshold is respectively calculated as W according to the third parameter and the fourth parameternThe energy required by the energy storage device and the discharge threshold are WnAfter the peak clipping effect value, the following steps may be further included:
correspondingly subtracting a second parameter corresponding to each third preset time period before peak clipping from a fourth parameter corresponding to each third preset time period after peak clipping to obtain a peak clipping effect value corresponding to each third preset time period;
obtaining the number of the third preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each third preset time period;
and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the third preset time periods in which the peak clipping is performed.
Optionally, the determining, by the base energy storage device, the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value may include:
and selecting a discharge threshold corresponding to the maximum ratio of the peak clipping effect value to the energy required by the energy storage device as the discharge threshold of the energy storage device.
A second aspect of the embodiments of the present invention provides an apparatus for determining a discharge threshold of an energy storage device, including:
the parameter acquisition module is used for acquiring a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and acquiring a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping;
a threshold selecting module for determining the range of the discharge threshold to be determined according to the maximum value and the minimum value in the first parameter and selecting WnPerforming peak clipping simulation as a discharge threshold; wherein WnThe discharge threshold value is any value in the range of the discharge threshold value to be determined, and n is a label corresponding to the discharge threshold value;
a first calculation module for calculating WnRespectively calculating a third parameter and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping;
a second calculation module for calculating a discharge threshold value W according to the third parameter and the fourth parameter respectivelynThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value;
and the threshold value determining module is used for determining the discharging threshold value of the energy storage device based on the energy required by the energy storage device and the peak clipping effect value corresponding to each discharging threshold value of the energy storage device.
A third aspect of the present embodiment provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for determining a discharge threshold of an energy storage device according to the first aspect of the present embodiment when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method for determining a discharge threshold of an energy storage device according to the first aspect of the embodiments of the present invention.
The method and the device for determining the discharge threshold value firstly acquire a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping so as to initially determine the value range of the discharge threshold value. And then, taking each value in the value range of the discharge threshold as the discharge threshold to be determined, and applying the discharge threshold to a system for peak clipping simulation. After the peak clipping simulation is performed, the peak clipping effect value under the current discharge threshold value can be calculated by comparing the second parameter corresponding to each third preset time period in the plurality of third preset time periods included in each second preset time period before the peak clipping with the fourth parameter corresponding to each third preset time period in the plurality of third preset time periods after the peak clipping; based on the current discharging threshold, a third parameter corresponding to each of a plurality of third preset time periods before peak clipping is calculated, and further, the energy required by the energy storage device under the current discharging threshold can be calculated. And finally, combining the influence of two factors of the peak clipping effect value and the energy required by the energy storage device, so that the capacity configuration and the peak clipping effect of the energy storage device can comprehensively reach the optimal discharge threshold value in the practical engineering application by selecting from all values of the discharge threshold value, and further the resource utilization efficiency is maximized.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for determining a discharge threshold of an energy storage device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for determining a discharge threshold of an energy storage device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The terms "comprises" and "comprising," as well as any other variations, in the description and claims of this invention and the drawings described above, are intended to mean "including but not limited to," and are intended to cover non-exclusive inclusions. For example, a process, method, or system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus. Furthermore, the terms "first," "second," and "third," etc. are used to distinguish between different objects and are not used to describe a particular order.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a schematic flow chart of a method for determining a discharge threshold of an energy storage device according to this embodiment, and referring to fig. 1, the method for determining a discharge threshold of an energy storage device includes:
step S101, obtaining a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and obtaining a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping.
In the embodiment of the present invention, in order to determine the initial value range of the discharge threshold, an electric power parameter before peak clipping by the energy storage device may be obtained, and in this embodiment, the electric power parameter may include a first parameter corresponding to each of a plurality of second preset time periods included in a first preset time period before peak clipping. Specifically, the load power in each preset time period can be acquired as the initial data to be processed through a comprehensive automation device in the traction substation. The first parameter may reflect an energy storage device discharge threshold, and preferably, the first parameter may be a maximum demand for a preset time period.
For example, the first preset time period in this embodiment may be a year, the second preset time period may be each month included in the year, and the first parameter corresponding to each second preset time period may be a maximum demand of each month in the year. The maximum demand in the above is the average power of the electricity consumed by the client for a certain period of time in a certain settlement period, and the maximum once indicated value is reserved as the maximum demand of the settlement period. By acquiring the first parameter, the initial value range of the discharge threshold can be determined. Continuing with the above example, the third preset time period may be a day of a month, and the second parameter corresponding to each third preset time period is the maximum demand of the day. It should be noted that, according to the needs of the actual situation, the plurality of second preset time periods and the plurality of third preset time periods may be continuous or discontinuous, for example, for a certain year, the second preset time period may be 1 month, 3 months, 5 months, 7 months, and 9 months, or 1 month to 12 months; the third preset time period may be every day of a month, or may be several consecutive or discontinuous days.
Step S102, determining a range of a discharge threshold to be determined according to the maximum value and the minimum value in the first parameter, and selecting WnPerforming peak clipping simulation as a discharge threshold; wherein WnAnd n is a label corresponding to the discharge threshold value, and is any value in the range of the discharge threshold value to be determined.
In the embodiment of the invention, the obtained first parameters are multiple, and the range of the discharge threshold to be determined can be determined according to the minimum value and the maximum value in the first parameters. And then, randomly selecting a value from the value range as a discharge threshold of the energy storage device to perform simulation analysis of the peak clipping effect. In the above value taking process, WnValues can be taken at preset value intervals until the range of the discharge threshold to be determined is traversed, and the preset intervals are set according to the actual situation; wherein n is a label corresponding to the discharge threshold.
Step S103, based on the WnRespectively calculate peak clippingA third parameter corresponding to each third preset time period in the first plurality of third preset time periods and a fourth parameter corresponding to each third preset time period in the plurality of third preset time periods after peak clipping.
In the embodiment of the invention, any discharge threshold value W is selectednAfter the simulation analysis of peak clipping is performed as the discharge threshold of the energy storage device, the above description is continued by taking the third preset time period as an example. The maximum demand for a plurality of days in each month, for example, the maximum demand for 2 days, 9 days, 16 days, 23 days, and 30 days of 1 month is collected as the fourth parameter. In the above description, the fourth parameter is used to compare and calculate the peak clipping effect under the discharge threshold. In practical application, when the instantaneous power of the user and the discharge threshold satisfy a certain relationship, the energy storage device participates in the auxiliary power supply of the traction transformer, and in order to calculate the energy required by the corresponding energy storage device under the discharge threshold, the third parameter may be the duration that the instantaneous power before peak clipping is greater than the discharge threshold.
Step S104, respectively calculating a discharge threshold value W according to the third parameter and the fourth parameternThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value.
In the embodiment of the invention, when the third parameter is the duration that the instantaneous power before peak clipping is greater than the discharge threshold, and the fourth parameter is the maximum demand of a plurality of days in each month, the energy required by the energy storage device under the discharge threshold and the peak clipping effect value can be respectively determined according to the third parameter and the fourth parameter. Specifically, the third parameter reflects the time of the energy storage device participating in the auxiliary power supply, and the energy required by the energy storage device can be calculated according to the rated power of the energy storage device. The fourth parameter reflects the maximum demand after peak clipping under the discharge threshold, and the peak clipping effect value can be calculated by comparing with the maximum demand before peak clipping.
And step S105, determining the discharge threshold of the energy storage device based on the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold.
In the embodiment of the invention, all the discharge threshold values in the range of the discharge threshold to be determined are traversed at preset value intervals, and the energy required by the energy storage device and the peak clipping effect value corresponding to the discharge threshold values are calculated. By comparing the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold, the energy storage device capacity allocation and the peak clipping effect are comprehensively optimized to the optimal discharge threshold in the practical engineering application from all discharge threshold values within the range of the discharge threshold to be determined, and further the resource utilization efficiency is maximized.
The method for determining the discharge threshold of the energy storage device comprises the steps of firstly obtaining a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping so as to initially determine the value range of the discharge threshold. And then, taking each value in the value range of the discharge threshold as the discharge threshold to be determined, and applying the discharge threshold to a system for peak clipping simulation. After the peak clipping simulation is performed, the peak clipping effect value under the current discharge threshold value can be calculated by comparing the second parameter corresponding to each third preset time period in the plurality of third preset time periods included in each second preset time period before the peak clipping with the fourth parameter corresponding to each third preset time period in the plurality of third preset time periods after the peak clipping; based on the current discharging threshold, a third parameter corresponding to each of a plurality of third preset time periods before peak clipping is calculated, and further, the energy required by the energy storage device under the current discharging threshold can be calculated. And finally, combining the influence of two factors of the peak clipping effect value and the energy required by the energy storage device, so that the capacity configuration and the peak clipping effect of the energy storage device can comprehensively reach the optimal discharge threshold value in the practical engineering application by selecting from all values of the discharge threshold value, and further the resource utilization efficiency is maximized.
In some embodiments, the obtaining a first parameter corresponding to each of a plurality of second preset time periods included in a first preset time period before peak clipping and obtaining a second parameter corresponding to each of a plurality of third preset time periods included in each of the second preset time periods before peak clipping may include: the method comprises the steps of obtaining average power consumption corresponding to each preset time period in a plurality of second preset time periods in a first preset time period before peak clipping, determining first maximum average power consumption corresponding to each second preset time period according to each average power consumption, and taking the obtained first maximum average power consumption as a first parameter; and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period before peak clipping, determining second maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained second maximum average power consumption as a second parameter.
In the embodiment of the present invention, the first preset time period may be one year (may be an integer year or several months), each of the second preset times may be several months in the year, and preferably, when the first parameter indicates the maximum demand, the plurality of second preset times correspond to all months in the year, and the setting may reduce an error, thereby improving accuracy of determining the threshold. The obtaining process of the maximum demand corresponding to each month may specifically be: and obtaining a plurality of average power consumptions of a plurality of settlement periods in the month, selecting the maximum average power consumption as a first maximum average power consumption, and sequentially obtaining the first maximum average power consumption corresponding to each month in the year according to the method and taking the first maximum average power consumption as the maximum demand corresponding to the month. The third preset time may be several days in a month, and preferably, when the second parameter indicates the maximum demand, the third preset time is several days in a month separated by a certain time. Similarly, the process of acquiring the maximum demand corresponding to each day may specifically be: and acquiring a plurality of average power consumptions of a plurality of settlement periods (each settlement period can be several hours) in the day, selecting the maximum average power consumption as the second maximum average power consumption, and sequentially acquiring the second maximum average power consumption corresponding to each day in the month according to the method and taking the second maximum average power consumption as the maximum demand corresponding to the day.
In some embodiments, the method is based on theWnCalculating a third parameter corresponding to each third preset time period in a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping, respectively, may include: acquiring the instantaneous power corresponding to each third preset time period in a plurality of third preset time periods before peak clipping, and counting that the value of the instantaneous power corresponding to each third preset time period is larger than WnThe obtained multiple durations are used as a third parameter; and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period after peak clipping, determining third maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained plurality of third maximum average power consumption as a fourth parameter.
In the embodiment of the invention, the discharge threshold value W is adoptednAnd after the simulation of peak clipping is carried out, calculating a third parameter and a fourth parameter under the current discharge threshold value so as to further calculate the energy required by the energy storage device under the current discharge threshold value and the peak clipping effect value. In this embodiment, the third parameter is a time index, and the specific obtaining process may be: and acquiring an instantaneous power statistical table of the user in each day before peak clipping, further counting the duration of the instantaneous power in each day which is greater than the current discharge threshold, and taking the duration of each day as a third parameter for calculating the energy required by the energy storage device under the current discharge threshold. The fourth parameter is the maximum demand, and the specific acquisition process may be: the method comprises the steps of obtaining a plurality of average power consumptions of a plurality of settlement periods (each settlement period can be a plurality of hours or a plurality of minutes and the like) in each day in each month after peak clipping, selecting the maximum average power consumption as a third maximum average power consumption, sequentially obtaining the third maximum average power consumption corresponding to each day in the month after peak clipping according to the method, using the third maximum average power consumption as a maximum demand corresponding to the day, and using the maximum demand of each day after peak clipping as a fourth parameter so as to obtain a peak clipping effect value by comparing the maximum demand change before and after peak clipping.
In some embodiments, said determining is based on said third parameter and saidA fourth parameter for calculating discharge threshold values WnThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value may include: multiplying the maximum value in the third parameter by the rated power of the energy storage device to obtain a discharge threshold value WnEnergy required by the energy storage device; obtaining a fifth parameter corresponding to each second preset time period in the plurality of second preset time periods after peak clipping based on the fourth parameters in the plurality of third preset time periods after peak clipping; taking the maximum value of fourth parameters corresponding to a plurality of third preset time periods included in each second preset time period after peak clipping as a fifth parameter of the second preset time period after peak clipping; correspondingly subtracting a first parameter corresponding to each second preset time period before peak clipping from a fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period; adding the peak clipping effect values corresponding to each second preset time period to obtain the discharge threshold value WnThe peak clipping effect value.
In the embodiment of the present invention, when the third parameter and the fourth parameter indicate the meanings as described above, a specific process of calculating the energy required by the energy storage device under the current discharge threshold may be: multiplying the maximum duration time in the set formed by the duration time that the instantaneous power in each day before peak clipping is greater than the current discharge threshold value, namely the maximum duration time by the rated power of the energy storage device to obtain the discharge threshold value WnThe energy required by the energy storage device. According to the method for acquiring the energy required by the energy storage device, the energy required by the energy storage device is calculated by adopting the maximum duration, so that the stability of the energy storage device can be improved, and the condition of insufficient energy supply is avoided.
The specific calculation of the peak clipping effect value under the current discharge threshold may be: obtaining the monthly maximum demand after peak clipping based on the daily maximum demand after peak clipping; specifically, the maximum value of the maximum demand corresponding to each day in a plurality of days included in a month after peak clipping is taken as the maximum demand of the month after peak clipping; correspondingly subtracting the maximum demand corresponding to each month before peak clipping from the maximum demand corresponding to each month after peak clipping to obtain a peak clipping effect value corresponding to each month; and adding the peak clipping effect values of the months to obtain the peak clipping effect value under the current discharge threshold value. According to the method for obtaining the peak clipping effect value, the maximum demand per month after peak clipping is calculated according to the maximum demand per day after peak clipping, so that the influence of load fluctuation can be effectively reduced, the accuracy of peak clipping effect value calculation is improved, and the peak clipping evaluation is more practical.
In some embodiments, after the correspondingly subtracting the first parameter corresponding to each second preset time period before peak clipping from the fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period, the method may further include: obtaining the number of second preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each second preset time period; and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the second preset time periods in which the peak clipping is performed.
In the embodiment of the invention, after the peak clipping effect value corresponding to each month is obtained, the information of the number of the months subjected to peak clipping can be obtained according to the peak clipping effect value of each month. For example, if the peak clipping effect value is 0, it indicates that the month is clipping, and the energy storage device is not active in the month. Therefore, in the embodiment of the invention, the discharge threshold of the energy storage device can be determined by additionally considering the service efficiency of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of months for carrying out peak clipping, and the discharge threshold is further optimized.
In some embodiments, the discharge threshold is calculated as W according to the third parameter and the fourth parameter respectivelynThe energy required by the energy storage device and the discharge threshold are WnAfter the peak clipping effect value, the following steps may be further included: correspondingly subtracting the second parameter corresponding to each third preset time period before peak clipping from the fourth parameter corresponding to each third preset time period after peak clipping to obtain each third preset time periodThe peak clipping effect value corresponding to the time period; obtaining the number of the third preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each third preset time period; and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the third preset time periods in which the peak clipping is performed.
In the embodiment of the invention, the use efficiency of the energy storage device under each discharge threshold is further refined, whether the energy storage device acts in the number of days counted in each month or not is judged, the discharge threshold of the energy storage device is determined based on the energy required by the energy storage device, the peak clipping effect value and the number of days for peak clipping corresponding to each discharge threshold, and the discharge threshold is further optimized.
In some embodiments, the number of actions of the energy storage device in each day in the number of days of each month can be counted, the use efficiency of the energy storage device under each discharge threshold is further refined, the discharge threshold of the energy storage device is determined based on the energy required by the energy storage device, the peak clipping effect value and the number of actions of the energy storage device corresponding to each discharge threshold, and the discharge threshold is further optimized.
In some embodiments, the determining, by the base energy storage device, the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value may include: and selecting a discharge threshold corresponding to the maximum ratio of the peak clipping effect value to the energy required by the energy storage device as the discharge threshold of the energy storage device.
In the embodiment of the invention, for the energy storage device, different discharge thresholds cause different energy requirements of the energy storage device, and different discharge thresholds also cause different peak clipping effects. On the premise of ensuring the peak clipping effect, the energy required by the energy storage device is reduced as much as possible, the redundancy of the energy storage capacity configuration device can be reduced, the waste of resources is reduced, and the peak clipping effect corresponding to the discharge threshold value can not be ensured if too many discharge threshold values pursue small energy required by the energy storage device. In the embodiment of the invention, the ratio of the peak clipping effect value under each discharge threshold value to the energy required by the energy storage device is calculated so as to obtain the relative size of the peak clipping effect and the capacity configuration of the energy storage device. And if the discharge threshold value is the maximum corresponding to the value, the peak clipping effect and the comprehensive effect of the energy storage device parameters are the best in all the discharge threshold values. By adopting the method, the optimal designed energy storage device discharge threshold value for ensuring the peak clipping effect and the energy storage device capacity configuration can be screened for any energy storage device.
Fig. 2 is a schematic structural diagram of an apparatus for determining a discharge threshold of an energy storage device according to an embodiment of the present invention, and referring to fig. 2, the apparatus 20 for determining a discharge threshold of an energy storage device may include: the device comprises a parameter acquisition module 21, a threshold value selection module 22, a first calculation module 23, a second calculation module 24 and a threshold value determination module 25.
The parameter obtaining module 21 is configured to obtain a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and obtain a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping.
A threshold selecting module 22, configured to determine a discharge threshold range to be determined according to the maximum value and the minimum value in the first parameter, and select WnPerforming peak clipping simulation as a discharge threshold; wherein WnAnd n is a label corresponding to the discharge threshold value, and is any value in the range of the discharge threshold value to be determined.
A first calculation module 23 for calculating a first calculation value based on said WnAnd respectively calculating a third parameter corresponding to each third preset time period in a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping.
A second calculating module 24, configured to calculate a discharge threshold W according to the third parameter and the fourth parameter respectivelynThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value.
And the threshold determining module 25 is configured to determine the discharge thresholds of the energy storage device based on the energy required by the energy storage device and the peak clipping effect corresponding to each discharge threshold.
In some embodiments, the obtaining a first parameter corresponding to each of a plurality of second preset time periods included in a first preset time period before peak clipping and obtaining a second parameter corresponding to each of a plurality of third preset time periods included in each of the second preset time periods before peak clipping may include: the method comprises the steps of obtaining average power consumption corresponding to each preset time period in a plurality of second preset time periods in a first preset time period before peak clipping, determining first maximum average power consumption corresponding to each second preset time period according to each average power consumption, and taking the obtained first maximum average power consumption as a first parameter; and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period before peak clipping, determining second maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained second maximum average power consumption as a second parameter.
In some embodiments, said is based on said WnCalculating a third parameter corresponding to each third preset time period in a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping, respectively, may include: acquiring the instantaneous power corresponding to each third preset time period in a plurality of third preset time periods before peak clipping, and counting that the value of the instantaneous power corresponding to each third preset time period is larger than WnThe obtained multiple durations are used as a third parameter; and obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period after peak clipping, determining third maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained plurality of third maximum average power consumption as a fourth parameter.
In some embodiments, the calculating of the discharge threshold value is W according to the third parameter and the fourth parameter respectivelynThe energy required by the energy storage device and the discharge threshold are WnThe peak clipping effect value may include: most of the third parametersMultiplying the large value by the rated power of the energy storage device to obtain a discharge threshold value WnEnergy required by the energy storage device; obtaining a fifth parameter corresponding to each second preset time period in the plurality of second preset time periods after peak clipping based on the fourth parameters in the plurality of third preset time periods after peak clipping; taking the maximum value of fourth parameters corresponding to a plurality of third preset time periods included in each second preset time period after peak clipping as a fifth parameter of the second preset time period after peak clipping; correspondingly subtracting a first parameter corresponding to each second preset time period before peak clipping from a fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period; adding the peak clipping effect values corresponding to each second preset time period to obtain the discharge threshold value WnThe peak clipping effect value.
In some embodiments, after the correspondingly subtracting the first parameter corresponding to each second preset time period before peak clipping from the fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period, the method may further include: obtaining the number of second preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each second preset time period; and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the second preset time periods in which the peak clipping is performed.
In some embodiments, the discharge threshold is calculated as W according to the third parameter and the fourth parameter respectivelynThe energy required by the energy storage device and the discharge threshold are WnAfter the peak clipping effect value, the following steps may be further included: correspondingly subtracting a second parameter corresponding to each third preset time period before peak clipping from a fourth parameter corresponding to each third preset time period after peak clipping to obtain a peak clipping effect value corresponding to each third preset time period; obtaining the number of the third preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each third preset time period; determining the energy required by the energy storage device, the peak clipping effect value and the number of the third preset time periods for clipping the peak based on the energy required by the energy storage device corresponding to each discharge thresholdAn energy storage device discharge threshold.
In some embodiments, the determining, by the base energy storage device, the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value may include: and selecting a discharge threshold corresponding to the maximum ratio of the peak clipping effect value to the energy required by the energy storage device as the discharge threshold of the energy storage device.
It is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is merely used as an example, and in practical applications, the foregoing function allocation may be performed by different functional units and modules as needed, that is, the internal structure of the device for determining the discharge threshold of the energy storage device is divided into different functional units or modules to perform all or part of the above-described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 3, in the present embodiment, the terminal device 30 includes: a processor 31, a memory 32 and a computer program 33 stored in said memory 32 and executable on said processor 31. The processor 31, when executing the computer program 33, implements the steps in the embodiments as described in the first aspect of the embodiments, such as the steps S101 to S105 shown in fig. 1. Alternatively, the processor 31, when executing the computer program 33, implements the functions of the modules/units in the above-mentioned device for determining the energy storage device discharge threshold, for example, the functions of the modules 21 to 25 shown in fig. 2.
Illustratively, the computer program 33 may be partitioned into one or more modules/units that are stored in the memory 32 and executed by the processor 31 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 33 in the terminal device 30.
The terminal device can be a mobile phone, a tablet computer and other computing devices. The terminal device may include, but is not limited to, a processor 31, a memory 32. Those skilled in the art will appreciate that fig. 3 is merely an example of the terminal device 30, and does not constitute a limitation of the terminal device 30, and may include more or less components than those shown, or combine some of the components, or different components, for example, the terminal device 30 may further include an input-output device, a network access device, a bus, etc.
The Processor 31 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 32 may be an internal storage unit of the terminal device 30, such as a hard disk or a memory of the terminal device 30. The memory 32 may also be an external storage device of the terminal device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 30. Further, the memory 32 may also include both an internal storage unit and an external storage device of the terminal device 30. The memory 32 is used for storing the computer program 33 and other programs and data required by the terminal device 30. The memory 32 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when being executed by a processor, the computer program implements the steps in the embodiments described in the first aspect of the embodiments, such as step S101 to step S105 shown in fig. 1.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed method, apparatus, terminal and storage medium for determining a discharge threshold of an energy storage device may be implemented in other ways. For example, the above-described embodiments of the device for determining the discharge threshold of the energy storage device are merely illustrative, for example, the division of the modules or units is only a logical function division, and other division manners may be provided in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (8)

1. A method for determining a discharge threshold of an energy storage device, comprising:
acquiring a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and acquiring a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping; the method comprises the following steps: the method comprises the steps of obtaining average power consumption corresponding to each preset time period in a plurality of second preset time periods in a first preset time period before peak clipping, determining first maximum average power consumption corresponding to each second preset time period according to each average power consumption, and taking the obtained first maximum average power consumption as a first parameter; obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period before peak clipping, determining second maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained second maximum average power consumption as a second parameter;
determining a range of a discharge threshold to be determined according to the maximum value and the minimum value in the first parameter, and selecting W n as the discharge threshold to perform peak clipping simulation; w n is any value in the range of the discharge threshold to be determined, and n is a label corresponding to the discharge threshold;
respectively calculating a third parameter corresponding to each third preset time period in a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each third preset time period in a plurality of third preset time periods after peak clipping based on the W n; the method comprises the following steps: acquiring the instantaneous power corresponding to each third preset time period in a plurality of third preset time periods before peak clipping, counting the duration time corresponding to the value of the instantaneous power corresponding to each third preset time period, which is greater than W n, and taking the obtained plurality of durations as third parameters; obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period after peak clipping, determining third maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained plurality of third maximum average power consumption as a fourth parameter;
respectively calculating the energy required by the energy storage device when the discharge threshold is W n and the peak clipping effect value when the discharge threshold is W n according to the third parameter and the fourth parameter;
and determining the discharge threshold value of the energy storage device based on the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold value.
2. The method for determining the discharge threshold of the energy storage device according to claim 1, wherein the calculating the required energy of the energy storage device with the discharge threshold of W n and the peak clipping effect value with the discharge threshold of W n according to the third parameter and the fourth parameter comprises:
multiplying the maximum value in the third parameter by the rated power of the energy storage device to obtain the energy required by the energy storage device when the discharge threshold is W n;
obtaining a fifth parameter corresponding to each second preset time period in the plurality of second preset time periods after peak clipping based on the fourth parameters in the plurality of third preset time periods after peak clipping; taking the maximum value of fourth parameters corresponding to a plurality of third preset time periods included in each second preset time period after peak clipping as a fifth parameter of the second preset time period after peak clipping;
correspondingly subtracting a first parameter corresponding to each second preset time period before peak clipping from a fifth parameter corresponding to each second preset time period after peak clipping to obtain a peak clipping effect value corresponding to each second preset time period;
and adding the peak clipping effect values corresponding to each second preset time period to obtain the peak clipping effect value when the discharge threshold is W n.
3. The method for determining the energy storage device discharge threshold according to claim 2, wherein after the subtracting the first parameter corresponding to each second preset time period before peak clipping from the fifth parameter corresponding to each second preset time period after peak clipping to obtain the peak clipping effect value corresponding to each second preset time period, the method further comprises:
obtaining the number of second preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each second preset time period;
and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the second preset time periods in which the peak clipping is performed.
4. The method for determining the discharge threshold of the energy storage device according to any one of claims 1-2, wherein after the calculating the energy requirement of the energy storage device with the discharge threshold of W n and the peak clipping effect value with the discharge threshold of W n according to the third parameter and the fourth parameter, respectively, the method further comprises:
correspondingly subtracting a second parameter corresponding to each third preset time period before peak clipping from a fourth parameter corresponding to each third preset time period after peak clipping to obtain a peak clipping effect value corresponding to each third preset time period;
obtaining the number of the third preset time periods subjected to peak clipping based on the peak clipping effect value corresponding to each third preset time period;
and determining the discharge threshold of the energy storage device based on the energy required by the energy storage device corresponding to each discharge threshold, the peak clipping effect value and the number of the third preset time periods in which the peak clipping is performed.
5. The method for determining the energy storage device discharge threshold according to any one of claims 1-2, wherein the determining the energy storage device discharge threshold based on the energy required by the energy storage device and the peak clipping effect value corresponding to each discharge threshold comprises:
and selecting a discharge threshold corresponding to the maximum ratio of the peak clipping effect value to the energy required by the energy storage device as the discharge threshold of the energy storage device.
6. An apparatus for determining a discharge threshold of an energy storage device, comprising:
the parameter acquisition module is used for acquiring a first parameter corresponding to each second preset time period in a plurality of second preset time periods included in a first preset time period before peak clipping, and acquiring a second parameter corresponding to each third preset time period in a plurality of third preset time periods included in each second preset time period before peak clipping; the method comprises the following steps: the method comprises the steps of obtaining average power consumption corresponding to each preset time period in a plurality of second preset time periods in a first preset time period before peak clipping, determining first maximum average power consumption corresponding to each second preset time period according to each average power consumption, and taking the obtained first maximum average power consumption as a first parameter; obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period before peak clipping, determining second maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained second maximum average power consumption as a second parameter;
the threshold selecting module is used for determining a range of a discharge threshold to be determined according to the maximum value and the minimum value in the first parameter, and selecting W n as the discharge threshold to perform peak clipping simulation; w n is any value in the range of the discharge threshold to be determined, and n is a label corresponding to the discharge threshold;
a first calculating module, configured to calculate, based on the W n, a third parameter corresponding to each of a plurality of third preset time periods before peak clipping and a fourth parameter corresponding to each of a plurality of third preset time periods after peak clipping, respectively; the method comprises the following steps: acquiring the instantaneous power corresponding to each third preset time period in a plurality of third preset time periods before peak clipping, counting the duration time corresponding to the value of the instantaneous power corresponding to each third preset time period, which is greater than W n, and taking the obtained plurality of durations as third parameters; obtaining average power consumption corresponding to each preset time period in a plurality of third preset time periods in a second preset time period after peak clipping, determining third maximum average power consumption corresponding to each third preset time period according to each average power consumption, and taking the obtained plurality of third maximum average power consumption as a fourth parameter;
the second calculation module is used for respectively calculating the energy required by the energy storage device when the discharge threshold is W n and the peak clipping effect value when the discharge threshold is W n according to the third parameter and the fourth parameter;
and the threshold value determining module is used for determining the discharging threshold value of the energy storage device based on the energy required by the energy storage device and the peak clipping effect corresponding to each discharging threshold value.
7. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the method for determining a discharge threshold of an energy storage means according to any of claims 1 to 5.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for determining a discharge threshold of an energy storage device according to any one of claims 1 to 5.
CN202010460305.6A 2020-05-27 2020-05-27 Method and device for determining discharge threshold of energy storage device, terminal and storage medium Active CN111628514B (en)

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