CN112968455A - Method and device for determining discharge time and electronic equipment - Google Patents

Method and device for determining discharge time and electronic equipment Download PDF

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Publication number
CN112968455A
CN112968455A CN202110150437.3A CN202110150437A CN112968455A CN 112968455 A CN112968455 A CN 112968455A CN 202110150437 A CN202110150437 A CN 202110150437A CN 112968455 A CN112968455 A CN 112968455A
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power
energy storage
discharge
storage subsystem
time point
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CN112968455B (en
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陶三奇
李凡
葛木明
张鹏
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Hefei Sungrow New Energy Technology Co Ltd
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Hefei Sungrow New Energy Technology Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • H02J7/0025—Sequential battery discharge in systems with a plurality of batteries

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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 provides a method and a device for determining discharge time and electronic equipment, the method and the device are used for determining the generation time based on a short-term power prediction result when the power generation system starts to generate power is not close to the time when the power generation system starts to generate power, the method and the device are used for determining the generation time based on an ultra-short-term power prediction result when the power generation system starts to generate power is close to the time when the power generation system starts to generate power, the prediction precision of a power value in a short time in the future is higher than the short-term power prediction precision in the ultra-short-term power prediction mode, so that the accuracy of a second discharge time period determined by using the ultra-short-term power prediction result is higher, the accuracy of discharge control of an energy storage subsystem is higher, and the discharge quantity.

Description

Method and device for determining discharge time and electronic equipment
Technical Field
The invention relates to the field of power grids, in particular to a method and a device for determining discharge time and electronic equipment.
Background
After the new energy is connected to the power grid, the energy storage system and the power generation system (power generation, wind power generation and the like) are combined for reasonable utilization of the energy. Surplus electric energy generated by the power generation system in the daytime can be stored in the energy storage system, and the electric energy stored by the energy storage system at night compensates the power consumption in the station so as to ensure enough available electric quantity. Wherein the energy storage system comprises a plurality of energy storage subsystems.
When the energy storage system discharges at night, the discharging time of each energy storage subsystem needs to be determined, if the discharging time is determined inaccurately, the discharging control accuracy of the energy storage subsystem is low, and further the discharging amount of the energy storage subsystem can not meet the power utilization requirement in a station.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for determining a discharge time, and an electronic device, so as to solve the problem that if the discharge time of each energy storage subsystem is not accurately determined, the accuracy of discharge control on the energy storage subsystem is low, and thus the discharge capacity of the energy storage subsystem cannot meet the demand of power consumption in a station.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for determining discharge time is applied to a controller, and comprises the following steps:
determining whether a power predicted value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value or not under the condition that the power generation power of the power generation system is less than the power utilization power of the power station;
if not, controlling each energy storage subsystem to perform discharging operation according to the determined first discharging parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
if the current value is greater than the preset threshold value, acquiring a second discharge parameter of each energy storage subsystem, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameter until the generated power of the power generation system is greater than the preset threshold value; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
Optionally, determining whether a power prediction value at a preset time point in the ultra-short term power prediction result is greater than a preset threshold includes:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
Optionally, the first discharge parameters further include a first discharge power and a first discharge order;
the determination process of the first discharge parameter includes:
determining a first time point when the generated power of the power generation system is smaller than the power utilization power of the power station, and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
calculating the total power consumption in the first station based on the first time point, the second time point and the power station power consumption;
determining first discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station or not;
and if not, calculating a first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem.
Optionally, the second discharge parameter further includes a second discharge power and a second discharge order;
acquiring a second discharge parameter of each energy storage subsystem, wherein the second discharge parameter comprises:
determining the current time point as a third time point under the condition that the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
determining a fourth time point when the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
calculating the total power consumption in the second station based on the third time point, the fourth time point and the power station power consumption;
determining second discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station or not;
and if not, calculating a second discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health of each energy storage subsystem.
Optionally, after the time when the generated power of the power generation system is greater than a preset threshold, the method further includes:
determining a fifth time point when the generated power of the power generation system is greater than a preset threshold;
and performing preset operation on each energy storage subsystem based on the comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of each energy storage subsystem.
Optionally, performing a preset operation on each energy storage subsystem based on a comparison result between the fifth time point and the fourth time point, so as to equalize the electric quantity of each energy storage subsystem, including:
under the condition that the fifth time point is not less than the fourth time point, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
under the condition that the fifth time point is smaller than the fourth time point, calculating residual electric quantity deviation values of the energy storage subsystems;
under the condition that the residual electric quantity deviation value is smaller than a preset deviation value, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power until the preset discharging power is a preset threshold value;
and under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, calculating the average residual electric quantity of each energy storage subsystem, and controlling each energy storage subsystem to carry out internal charging and discharging operations until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
A device for determining discharge time, which is applied to a controller, comprises:
the power determination module is used for determining whether a power predicted value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value or not under the condition that the power generation power of the power generation system is less than the power utilization power of the power station;
the first discharge control module is used for controlling each energy storage subsystem to perform discharge operation according to the determined first discharge parameter if the discharge parameter is not greater than the first discharge parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
the second discharge control module is used for acquiring a second discharge parameter of each energy storage subsystem if the power generation power is larger than the preset threshold value, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameter until the power generation power of the power generation system is larger than the preset threshold value; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
Optionally, the power determining module is specifically configured to:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
Optionally, the first discharge parameters further include a first discharge power and a first discharge order;
the device for determining the discharge time further comprises a discharge parameter determination module, wherein the discharge parameter determination module comprises:
the first time point determining submodule is used for determining a first time point when the generated power of the power generation system is smaller than the power utilization power of the power station and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
the first electric quantity calculation submodule is used for calculating the total electric quantity in the first station based on the first time point, the second time point and the power station electric power;
the first discharge determining sub-module is used for determining first discharge power of each energy storage subsystem based on the power utilization power of the power station and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
the judgment submodule is used for judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station;
and the first time period determination submodule is used for calculating the first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem if the first time period determination submodule is not smaller than the first time period determination submodule.
Optionally, the second discharge parameter further includes a second discharge power and a second discharge order;
the second discharge control module includes:
the second time point determining submodule is used for determining the current time point as a third time point and determining a fourth time point when the short-term power in the ultra-short-term power prediction result is greater than the preset threshold under the condition that the short-term power in the ultra-short-term power prediction result is greater than the preset threshold;
the second electric quantity calculation submodule is used for calculating the total electric quantity in the second station based on the third time point, the fourth time point and the power station electric power;
the second discharge determining submodule is used for determining second discharge power of each energy storage subsystem based on the power utilization power of the power station and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
the second judgment submodule is used for judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station;
and the second time period determination submodule is used for calculating a second discharging time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem if the second time period determination submodule is not smaller than the second time period determination submodule.
Optionally, the method further comprises:
and the electric quantity balancing module is used for determining a fifth time point when the generated power of the power generation system is greater than a preset threshold value, and presetting the energy storage subsystems based on a comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of the energy storage subsystems.
Optionally, the power balancing module includes:
the first balancing submodule is used for controlling each energy storage subsystem to enter a standby state under the condition that the fifth time point is not less than the fourth time point, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
the deviation calculation submodule is used for calculating the residual electric quantity deviation value of each energy storage subsystem under the condition that the fifth time point is smaller than the fourth time point;
the second balancing submodule is used for controlling each energy storage subsystem to enter a standby state or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power under the condition that the residual electric quantity deviation value is smaller than a preset deviation value until the preset discharging power is stopped when a preset threshold value is reached;
and the third balancing submodule is used for calculating the average residual electric quantity of each energy storage subsystem under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, and controlling each energy storage subsystem to carry out internal charging and discharging operation until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
An electronic device, comprising: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program to execute the method for determining the discharge time.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method and a device for determining discharge time and electronic equipment, wherein under the condition that the generated power of a power generation system is smaller than the power consumption of a power station, whether the power predicted value of a preset time point in a super-short-term power prediction result is larger than a preset threshold value or not is determined, if the power predicted value is not larger than the preset threshold value, the time for starting power generation of the power generation system is not approached, and each energy storage subsystem is controlled to perform discharge operation according to a first discharge time period determined based on the short-term power prediction result. If the discharge time is larger than the preset discharge time, indicating that the time is close to the time when the power generation system starts to generate power, and controlling each energy storage subsystem to perform discharge operation according to a second discharge time period determined based on the ultra-short-term power prediction result. The prediction precision of the ultra-short-term power prediction mode on the power value in the future short time is higher than the prediction precision of the short-term power, so that when the time of starting power generation of the power generation system is close, the accuracy of the second discharging time period determined by using the ultra-short-term power prediction result is higher, and further the accuracy of discharging control of the energy storage subsystem is higher by using the second discharging time period with higher accuracy, so that the discharging amount of the energy storage subsystem can meet the power demand in a station.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a discharge time according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for determining a discharge time according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a discharge time according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for determining a discharge time according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another apparatus for determining a discharge time according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another device for determining a discharge time according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another apparatus for determining a discharge time according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The new energy is incorporated into the power grid in a large scale, great impact is formed on the power grid, the energy storage system and the power generation system (such as photovoltaic power generation, wind power generation and the like) are combined, and the energy storage system of the power generation side light power storage station participates in services such as secondary frequency modulation, limited power generation peak shifting, primary frequency modulation and the like according to the power grid requirements. Specifically, the electric energy generated by the power generation system in the daytime is stored in the energy storage system when being excessive, and the electric energy is adjusted through the energy storage system when being insufficient or unstable. The load is usually in the low-ebb period at night, and if the energy storage system discharges at night, the electric quantity taken from the power grid can be reduced, and the benefit of the energy storage system is improved. After the energy storage system discharges at night, the discharged available electric quantity of each energy storage subsystem needs to be consistent.
When each energy storage subsystem in the energy storage system discharges at night, the mode that all the energy storage subsystems discharge simultaneously can be adopted, and the discharging is stopped until the discharging condition is not met.
If the mode that all energy storage subsystems discharge simultaneously is adopted, taking the current 50MW-200MW photovoltaic power station as an example, the power consumption in the station and the domestic power at night is mainly 100-300 kW. Taking a 100MW photovoltaic power station configured with 20% of energy storage system as an example, the energy storage system is calculated as 20MW/20 MWh. The electricity consumption in the station is calculated according to 200kW and 12 hours, and the electricity consumption at night is 2400 kWh. Energy storage mainstream converters of the current energy storage subsystems are more than or equal to 500 kW. And (3) calculating 20MW/20MWh according to 10 sets of energy storage systems, wherein the discharge of a single converter is about 5kW, and the discharge is 1% of the rated power of the converter. That is to say, when the energy storage subsystem discharges at night, the discharge power is only 1% of the rated power of the converter, that is, the energy storage subsystem adopts a low-power discharge mode, which results in low discharge precision, low efficiency and high loss.
In order to solve the problems of low precision, low efficiency and high loss, if each energy storage subsystem adopts a time-sharing discharge mode, the problems of low precision and high loss can be solved, but in practical application, the time-sharing discharge mode is adopted, the power generation time of the next-day power generation system needs to be determined, the discharge time of the energy storage subsystem is determined based on the time, and if the determination of the power generation time of the next-day power generation system is inaccurate, the accuracy of the discharge time of the energy storage subsystem is low.
In determining the time of power generation of the power generation system the next day, the short-term power prediction result may be used for determination, but the short-term power prediction result is generally data for predicting the time length of 24 hours, 72 hours, and the like, and the prediction time period is long, so that the accuracy of the predicted result is low.
In order to solve the problem of low accuracy of the predicted result, if the time of starting power generation of the power generation system is not close to, the power generation time can be determined based on the short-term power prediction result, the power generation time can be determined based on the ultra-short-term power prediction result when the time of starting power generation of the power generation system is close to, and the prediction accuracy of the ultra-short-term power prediction mode on the power value in the future short time is higher than the short-term power prediction accuracy, so that the accuracy of the discharge time period of the energy storage subsystem determined by using the ultra-short-term power prediction result is higher, and further the accuracy of the discharge time period is higher, the accuracy of discharge control of the energy storage subsystem is higher, so that the discharge capacity of the energy.
Specifically, on the basis of the above content, an embodiment of the present invention provides a method for determining a discharge time, which is applied to a controller, where the controller in this embodiment may be an overall controller of a power generation system and an energy storage system, and referring to fig. 1, the method for determining a discharge time may include:
s11, judging whether the power generation power of the power generation system is smaller than the power utilization power of the power station, if so, executing a step S12; if not, the process is ended.
Specifically, short-term predicted power P _ short, ultra-short-term predicted power P _ super, dischargeable quantity E of an energy storage system, energy storage discharge power Pes of an energy storage subsystem, power generation power Ppv of a power generation system such as a photovoltaic power generation system, power station power consumption Pst, n sets of dischargeable energy storage systems, time T and health SOH of the energy storage subsystem are set.
The short-term predicted power P _ short is obtained through short-term prediction, wherein the short-term prediction means that the generated power of the new energy power station on the next day is predicted, and the prediction time lengths are different from 0 zero hour on the next day according to different regions, and are generally 0-24 hours, 0-72 hours and the like. The number of prediction points is, for example, 0 to 24 hours, and the number of points is 96.
The ultra-short-term prediction power P _ super is obtained through ultra-short-term prediction, wherein ultra-short-term prediction refers to prediction from the current prediction to the future for 4 hours, and the number of prediction points is 16 (the 16 th point is the 4 th hour time point). Both short-term and ultra-short term prediction temporal resolutions were 15 minutes.
In practical application, the time point that the generated power Ppv is less than the power consumption Pst of the power station is detected and judged, and recorded as a first time point t1, when the generated power Ppv is less than the power consumption Pst of the power station, it is indicated that the generated power of the power generation system is less than the power consumption Pst of the power station, that is, the generated energy cannot meet the power consumption, and at this time, the energy storage system needs to be used for discharging operation. In general, the time point when the power generation amount cannot satisfy the power consumption amount is approximately the evening time, that is, the time point when the sun lands on the hill.
If the generated power Ppv is larger than or equal to the power station power consumption Pst, the generated power of the power generation system is not smaller than the power station power consumption Pst, namely the generated energy can meet the power consumption, and at the moment, the energy storage system does not need to be used for discharging operation.
S12, determining whether a power predicted value of a preset serial number in the ultra-short term power predicted result is larger than a preset threshold value; if yes, go to step S14; if yes, go to step S13.
Specifically, it is determined whether the 16 th point power value in the ultra-short term prediction power P _ super is greater than a preset threshold, such as 0, i.e., the ultra-short term prediction power P _ super is greater than 0. If the power value is not greater than the 16 th point power value predicted in the ultra-short term, the power generation system does not start generating power, and the power generation system does not start generating power and is not close to the power generation system starting time.
It should be noted that, in the embodiment, determining whether the power prediction value at the preset time point in the ultra-short term power prediction result is greater than the preset threshold needs to be determined once every preset time interval, for example, every 15 minutes and every 30 minutes.
In addition, in this embodiment, it is determined whether the 16 th point power value is greater than zero, that is, the preset serial number is 16, and the preset serial number may be the 8 th, the 10 th, or the like, or mathematical operations such as selecting the predicted power of a plurality of serial numbers and performing weighted summation may be performed. In practical applications, the preset serial number is continuously decreased along with the continuous increase of time, for example, the preset serial number is 16 in the case of two-point prediction in the morning, and the preset serial number is 3 in the case of five-point prediction in the morning. That is, the preset serial number is smaller as the time from the sun is closer.
And S13, controlling each energy storage subsystem to perform discharging operation according to the determined first discharging parameters.
Specifically, if it is determined in step S12 that the power value is not greater than the 16 th point power value predicted in the ultra-short term, the power generation system does not start generating power yet, and it is determined that the power generation system does not approach the power generation start time. At this time, it is not necessary to accurately judge the power generation time of the power generation system, and in this time period, the discharge control may be performed by using the first discharge parameter determined by the short-term power prediction result, where the first discharge parameter includes the first discharge time period. And sequentially discharging the energy storage subsystems according to respective first discharge time periods.
And S14, acquiring second discharge parameters of each energy storage subsystem, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameters until the generated power of the power generation system is greater than a preset threshold value.
Wherein the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
Specifically, if it is determined in step S12 that the power value is greater than the 16 th power value predicted in the ultra-short term, the power generation system starts generating power, and it is determined that the power generation system is close to the power generation start time, and it is necessary to accurately determine the power generation time of the power generation system at this time. And sequentially discharging the energy storage subsystems according to respective second discharge time periods.
It should be noted that, in step S14, there is a discharge stop condition, specifically, when the generated power of the power generation system is greater than the preset threshold, the preset threshold is zero, that is, the power generation system starts generating power, and at this time, the energy storage subsystem is no longer required to perform a discharge operation. Because the ultra-short-period power prediction mode predicts the power within 4 hours in the future, the prediction time period is short, and the prediction precision is high, the starting power generation time of the next-day power generation system can be accurately determined through ultra-short-period power prediction, and further the total power generation time of the energy storage system can be determined based on the starting power generation time and the first time point, so that the respective power generation time period of each energy storage subsystem is determined.
In addition, in the invention, when the time point when the generated power of the power generation system is smaller than the power consumption of the power station is generally in the evening, the time point when the power predicted value is larger than the preset threshold value is generally in the morning before sunrise, the time point when the power predicted value of the preset serial number in the ultra-short period power predicted result is larger than the preset threshold value is generally four hours before sunrise, that is, in the evening to four hours before sunrise in the morning, the first discharge parameter determined based on the short-term power predicted result is adopted for discharge control, and in the four hours before sunrise in the morning to sunrise in the morning, the second discharge parameter determined based on the ultra-short period power predicted result is adopted for discharge control.
In this embodiment, when the generated power of the power generation system is less than the power consumption of the power station, it is determined whether a power prediction value at a preset time point in the ultra-short term power prediction result is greater than a preset threshold, and if not, it indicates that the time at which the power generation system starts to generate power is not yet close, and each energy storage subsystem is controlled to perform a discharging operation according to a first discharging time period determined based on the short term power prediction result. If the discharge time is larger than the preset discharge time, indicating that the time is close to the time when the power generation system starts to generate power, and controlling each energy storage subsystem to perform discharge operation according to a second discharge time period determined based on the ultra-short-term power prediction result. The prediction precision of the ultra-short-term power prediction mode on the power value in the future short time is higher than the prediction precision of the short-term power, so that when the time of starting power generation of the power generation system is close, the accuracy of the second discharging time period determined by using the ultra-short-term power prediction result is higher, and further the accuracy of discharging control of the energy storage subsystem is higher by using the second discharging time period with higher accuracy, so that the discharging amount of the energy storage subsystem can meet the power demand in a station.
In addition, in the invention, under the condition of realizing the consistent electric quantity after discharging, the electric quantity used by the night station and the energy storage and discharge time are predicted in a short term by the light power prediction system; and calculating the relatively better discharge time of the energy storage subsystem by combining an ultra-short period circulation adjustment mode. The circulation frequency of the system is reduced, and the life cycle of the energy storage system is effectively prolonged.
The invention also realizes that each energy storage subsystem applies a prediction algorithm under the condition of uncertain photovoltaic power generation time of the next day, predicts the discharge time of the energy storage subsystem at night, and ensures the accurate discharge of the energy storage subsystem.
And the discharge power Pes of the energy storage system tracks the station power consumption Pst in real time and calculates the SOC of the energy storage power station system in real time. When the power generation power Ppv of the power station is less than or equal to the power utilization power Pst of the power station, the energy storage system can be used for discharging compensation.
The above embodiments have referred to the first discharge parameter and the second discharge parameter, and the determination process of the two parameters will now be described. Specifically, referring to fig. 2, the determining process of the first discharge parameter (including the first discharge power, the first discharge sequence and the first discharge time period) may include:
s21, determining a first time point when the generated power of the power generation system is smaller than the power station power utilization power, and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold value.
The first time point is t 1.
And acquiring a short-term power prediction result, wherein the short-term power prediction result is generally a short-term predicted power curve, judging the short-term predicted power in the short-term predicted power curve, namely the earliest time point of the predicted short-term power P _ short > 0 (a preset threshold), and recording the earliest time point as a second time point t 2.
And S22, calculating the total power consumption in the first station based on the first time point, the second time point and the power station power consumption.
Specifically, the total discharge time (total electricity utilization time in a new energy power station night station) T0 of the energy storage system is calculated to be T2-T1; and (4) calculating the power consumption amount E01 in the night station as the power station power Pst T0, and setting the power consumption amount in the night station as the total power consumption amount in the first station.
S23, determining first discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem.
Specifically, the stored energy discharge power Pes of each energy storage subsystem is set as the power station electricity consumption power Pst, wherein the stored energy discharge power in the present embodiment is set as the first discharge power in order to distinguish the stored energy discharge power determined based on the ultra-short term prediction result.
The dischargeable quantity SOC of each energy storage subsystem is obtained, and the discharging operation of each energy storage subsystem is carried out in the descending order of SOC, namely the discharging order of each energy storage subsystem is determined according to the order of Desc (SOC1, … and SOCn1), and the determined discharging order is called as a first discharging order.
S24, judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station or not; if yes, go to step S25; if not, step S26 is executed.
Specifically, E is judged to be larger than or equal to E01, namely whether the dischargeable quantity of the energy storage system is larger than the self-power consumption quantity of the power station at night is judged, if so, the electric energy of the energy storage system can meet the power consumption requirement of the power station, and if not, the electric energy of the energy storage system can meet the power consumption requirement of the power station.
And S25, calculating a first discharging time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem.
Specifically, the first discharge time period of the ith energy storage subsystem is as follows:
Figure BDA0002932510890000121
wherein, SOC represents the dischargeable quantity of the energy storage subsystem, and SOH represents the health degree of the energy storage subsystem.
And for each energy storage subsystem, calculating the first discharge time period according to the formula, so as to obtain the first discharge time period of each energy storage subsystem. And controlling the energy storage subsystems to discharge sequentially according to the first discharge sequence determined in the step S23, wherein only one energy storage subsystem discharges at the same time, and the time of each discharge is the first discharge time period calculated by the formula.
And S26, discharging in an equal proportion and equal margin mode until the discharging condition is met.
Specifically, if it is determined that the energy storage dischargeable electric quantity is far less than the night station self-electricity consumption electric quantity, it is indicated that no matter how discharge control is performed, it cannot be guaranteed that the energy storage system provides the night station self-electricity consumption electric quantity, and at this time, the discharging is stopped in a descending order according to the SOC of the energy storage subsystem in an equal proportion or equal margin manner until the remaining electric quantity is less than a preset threshold value or other discharging stop conditions.
In another implementation of the invention, the second discharge parameter further includes a second discharge power and a second discharge order.
Specifically, referring to fig. 3, obtaining the second discharge parameter of each energy storage subsystem may include:
and S31, determining the current time point as a third time point under the condition that the short-term power in the ultra-short-term power prediction result is greater than a preset threshold value.
And S32, determining a fourth time point when the short-term power in the ultra-short-term power prediction result is larger than the preset threshold.
And S33, calculating the total power consumption in the second station based on the third time point, the fourth time point and the power station power consumption.
And S34, determining second discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem.
Specifically, the specific implementation process of steps S31-S34 is similar to the specific process of steps S121-S23.
In practical applications, in the case that the short-term power is greater than the preset threshold in the ultra-short-term power prediction result, the current time point is recorded and set as the third time point t3, and the occurrence point t4 is predicted. Specifically, the time point P _ super > 0 is obtained according to the ultra-short term power prediction result, such as the ultra-short term power prediction curve, and is set as the fourth time point t 4.
Calculating the discharge time T of the energy storage subsystemjT4-t 3; calculating the electricity quantity required by the station electricity, namely the total electricity quantity E02 in the second station is the electricity power Pst T of the power stationj。
And setting the energy storage discharge power Pes of each energy storage subsystem as power station electricity consumption power Pst, wherein in order to distinguish the energy storage discharge power determined based on the short-term prediction result, the energy storage discharge power in the embodiment is set as second discharge power.
And acquiring the dischargeable quantity SOC of each energy storage subsystem, and performing the discharging operation of each energy storage subsystem in an SOC descending order, namely determining the discharging order of each energy storage subsystem according to the order of Desc (SOC1, … and SOCn1), wherein the determined discharging order is called as a second discharging order.
S35, judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station or not; if yes, go to step S36; if not, step S37 is executed.
Specifically, along with the continuous discharge of the energy storage subsystem, the available electric quantity E of the energy storage system is continuously changed, so that at this time, it is required to judge whether E is greater than or equal to E02, namely, whether the dischargeable quantity of the energy storage system is greater than the self-electricity-consumption electric quantity in the station at night, if so, the electric energy of the energy storage system can meet the electricity consumption requirement of the power station, and if not, the electric energy of the energy storage system can meet the electricity consumption requirement of the power station.
And S36, calculating a second discharging time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem.
Specifically, the second discharge time period of the jth energy storage subsystem is as follows:
Figure BDA0002932510890000131
Figure BDA0002932510890000132
Tk＝(240-15k)，k∈[1,2,3，…，16]
the SOC represents the dischargeable quantity of the energy storage subsystem, the SOH represents the health degree of the energy storage subsystem, j is the second discharge time period, namely the ultra-short-term prediction trigger condition, the number j of the energy storage subsystems meeting the discharge condition is less than or equal to i, and k is a 15-min multiple value in the ultra-short-term prediction trigger condition, namely the preset serial number.
And S37, discharging in an equal proportion and equal margin mode until the discharging stopping condition is met.
If the energy storage dischargeable electric quantity is far smaller than the self-consumption electric quantity in the night station, the fact that no matter how the discharge control is carried out, the energy storage system cannot be guaranteed to provide the self-consumption electric quantity in the night station is shown, at the moment, the discharging is stopped in a descending order mode according to the SOC equal proportion or equal margin of the energy storage subsystem until the residual electric quantity is smaller than the preset threshold value or other discharging stopping conditions.
The embodiment provides the determining process of the first discharging parameter and the second discharging parameter, so that the charging control can be performed according to the determined two parameters, and the charging precision is improved.
In the above embodiment, when the generated power of the power generation system is greater than the preset threshold, the energy storage subsystems substantially reach the electric quantity balance, but in practical application, because a control error exists in the control process, when the generated power of the power generation system is greater than the preset threshold, an electric quantity difference may still exist between the energy storage subsystems, and at this time, in order to ensure that the energy storage subsystems substantially reach the electric quantity balance, the electric quantity of each energy storage subsystem may be further adjusted, so that the energy storage subsystems substantially reach the electric quantity balance.
Specifically, after the power generation power of the power generation system is greater than a preset threshold, the method further includes:
1) and determining a fifth time point when the generated power of the power generation system is greater than a preset threshold value.
When the generated power Ppv of the actual power generation system is > 0 (a preset threshold), that is, a time point when the next sunrise sun is reached, the time point is set as a fifth time point t 5.
2) And performing preset operation on each energy storage subsystem based on the comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of each energy storage subsystem.
Specifically, referring to fig. 4, performing a preset operation on each energy storage subsystem based on a comparison result between the fifth time point and the fourth time point to equalize the electric quantity of each energy storage subsystem may include:
1) and under the condition that the fifth time point is not less than the fourth time point, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value.
Wherein the preset discharge power is related to the power consumption of the power station and the power generation power of the power generation system.
Specifically, when t5 is more than or equal to t4, namely, each energy storage subsystem is released to the SOC consistency in advance before the system starts to generate power the next day.
At the moment, the energy storage power system can select equal proportion and equal margin discharge, the energy storage discharge power Pes is Pst-Ppv, the intensity of the sun is gradually enhanced along with the continuous delay of time, the power generation power Pst is gradually increased, and the discharge is stopped when the power utilization power Pst of the power station is equal to 0 (preset threshold).
Or, in a case where the requirement on the remaining capacity of the energy storage subsystems is not strict, controlling each energy storage subsystem to stand by may be performed, that is, Pes is equal to 0.
2) And under the condition that the fifth time point is smaller than the fourth time point, calculating the residual electric quantity deviation value of each energy storage subsystem.
Specifically, when t5 is less than t4, namely, after-discharge exists, the SOC deviation exists, and the SOC deviation of the energy storage subsystem is calculated. Specifically, since the energy storage subsystems stop discharging at time t5, at this time, part of the energy storage subsystems may not be discharged, or only part of the electric energy is discharged, so that the remaining electric quantity between the energy storage subsystems is unbalanced, and in order to ensure the electric quantity balance, the SOC deviation between the energy storage subsystems which are not discharged, or only part of the electric energy is discharged and the energy storage subsystems which have completed the discharging operation is calculated.
3) And under the condition that the residual electric quantity deviation value is smaller than a preset deviation value, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power until the preset discharging power is a preset threshold value.
Specifically, when the deviation value is within the preset deviation value, the energy storage system distributes power in equal proportion or equal margin to the discharge constraint condition Pes ═ Pst-Ppv ≧ 0, or the standby Pes ═ 0. The specific process refers to the process at t5 ≧ t 4.
4) And under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, calculating the average residual electric quantity of each energy storage subsystem, and controlling each energy storage subsystem to carry out internal charging and discharging operations until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
Specifically, when the energy storage sub-systems are out of the preset deviation value, the controller calculates the average residual energy SOCavg of all the energy storage sub-systems, and under the condition of setting for 15min (power prediction time resolution), the energy storage internal sub-systems are charged and discharged to the average value, or the energy storage night power supply mode is exited after the constraint condition is reached. Wherein the constraint condition may be:
ALL (SOC _ limit) is more than or equal to SOC or Ppv is more than or equal to Pst, namely the SOC values of ALL energy storage systems are lower than the minimum limit value, or the photovoltaic power generation power is more than or equal to the station power consumption power.
In this embodiment, whether the remaining power of each energy storage subsystem reaches equilibrium is determined by comparing the fifth time point with the fourth time point, and if not, the remaining power of each energy storage subsystem is adjusted to equilibrium so as to satisfy the condition that the remaining power of each energy storage subsystem is balanced after discharging, thereby realizing that the available power of each energy storage subsystem is consistent after discharging.
Optionally, on the basis of the embodiment of the method for determining a discharge time, another embodiment of the present invention provides a device for determining a discharge time, which is applied to a controller, and with reference to fig. 3, the device includes:
the power determination module 11 is configured to determine whether a power prediction value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value under the condition that the generated power of the power generation system is less than the power consumption of the power station;
the first discharge control module 12 is configured to control each energy storage subsystem to perform a discharge operation according to the determined first discharge parameter if the discharge parameter is not greater than the first discharge parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
the second discharge control module 13 is configured to, if the power generation power is greater than the preset threshold, obtain a second discharge parameter of each energy storage subsystem, and control each energy storage subsystem to perform discharge operation according to the determined second discharge parameter, until the power generation power of the power generation system is greater than the preset threshold, stop; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
Further, the power determination module is specifically configured to:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
Further, the first discharge parameters further include a first discharge power and a first discharge order;
referring to fig. 5, the apparatus for determining a discharge time further includes a discharge parameter determination module 14 including:
the first time point determining submodule 141 is configured to determine a first time point when the generated power of the power generation system is smaller than the power consumption of the power station, and determine a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
the first electric quantity calculating submodule 142 is configured to calculate a total electric quantity in the first station based on the first time point, the second time point, and the power station electric power;
the first discharge determining sub-module 143 is configured to determine a first discharge power of each energy storage subsystem based on the power consumption of the power station, and determine a first discharge sequence of each energy storage subsystem based on a dischargeable amount of each energy storage subsystem;
the first judgment submodule 144 is configured to judge whether the dischargeable amount of the energy storage system is not less than the total amount of power consumption in the first station;
and the first time period determination submodule 145 is used for calculating a first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem if the first discharge time period is not less than the first discharge time period.
Further, the second discharge parameters further include a second discharge power and a second discharge order;
referring to fig. 6, the second discharge control module 13 includes:
the second time point determining submodule 131 is configured to determine, when the short-term power in the ultra-short-term power prediction result is greater than the preset threshold, the current time point as a third time point, and determine a fourth time point at which the short-term power in the ultra-short-term power prediction result is greater than the preset threshold;
the second electric quantity calculating submodule 132 is configured to calculate a total electric quantity in the second station based on the third time point, the fourth time point and the power station electric power;
the second discharge determining submodule 133 is configured to determine a second discharge power of each energy storage subsystem based on the power consumption of the power station, and determine a second discharge sequence of each energy storage subsystem based on a dischargeable amount of each energy storage subsystem;
the second judging submodule 134 is configured to judge whether the dischargeable amount of the energy storage system is not less than the total amount of power consumption in the second station;
and the second time period determination submodule 135 is configured to calculate a second discharge time period of each energy storage subsystem based on the dischargeable amount and the battery health of each energy storage subsystem if the second discharge time period is not less than the first discharge time period.
Further, referring to fig. 7, the method further includes:
and the electric quantity balancing module 15 is configured to determine a fifth time point when the generated power of the power generation system is greater than a preset threshold, and perform preset operation on each energy storage subsystem based on a comparison result between the fifth time point and the fourth time point, so as to balance the electric quantity of each energy storage subsystem.
Further, the electric quantity balancing module comprises:
the first balancing submodule 151 is configured to, when the fifth time point is not less than the fourth time point, control each energy storage subsystem to enter a standby state, or control each energy storage subsystem to perform a discharging operation according to a preset discharging power, and stop until the preset discharging power is a preset threshold; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
the deviation calculation submodule 152 is configured to calculate a residual electric quantity deviation value of each energy storage subsystem when the fifth time point is smaller than the fourth time point;
the second balancing submodule 153 is configured to control each energy storage subsystem to enter a standby state or control each energy storage subsystem to perform a discharging operation according to the preset discharging power when the residual electric quantity deviation value is smaller than a preset deviation value, and stop until the preset discharging power is a preset threshold value;
and a third balancing sub-module 154, configured to calculate an average remaining power of each energy storage subsystem when the remaining power deviation value is not smaller than a preset deviation value, and control each energy storage subsystem to perform internal charging and discharging operations until the remaining power of each energy storage subsystem is the average remaining power.
In this embodiment, when the generated power of the power generation system is less than the power consumption of the power station, it is determined whether a power prediction value at a preset time point in the ultra-short term power prediction result is greater than a preset threshold, and if not, it indicates that the time at which the power generation system starts to generate power is not yet close, and each energy storage subsystem is controlled to perform a discharging operation according to a first discharging time period determined based on the short term power prediction result. If the discharge time is larger than the preset discharge time, indicating that the time is close to the time when the power generation system starts to generate power, and controlling each energy storage subsystem to perform discharge operation according to a second discharge time period determined based on the ultra-short-term power prediction result. The prediction precision of the ultra-short-term power prediction mode on the power value in the future short time is higher than the prediction precision of the short-term power, so that when the time of starting power generation of the power generation system is close, the accuracy of the second discharging time period determined by using the ultra-short-term power prediction result is higher, and further the accuracy of discharging control of the energy storage subsystem is higher by using the second discharging time period with higher accuracy, so that the discharging amount of the energy storage subsystem can meet the power demand in a station.
It should be noted that, for the working processes of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the embodiments of the method and the apparatus for determining a discharge time, another embodiment of the present invention provides an electronic device, including: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
determining whether a power predicted value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value or not under the condition that the power generation power of the power generation system is less than the power utilization power of the power station;
if not, controlling each energy storage subsystem to perform discharging operation according to the determined first discharging parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
if the current value is greater than the preset threshold value, acquiring a second discharge parameter of each energy storage subsystem, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameter until the generated power of the power generation system is greater than the preset threshold value; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
Further, determining whether a power prediction value of a preset time point in the ultra-short term power prediction result is greater than a preset threshold value includes:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
Further, the first discharge parameters further include a first discharge power and a first discharge order;
the determination process of the first discharge parameter includes:
determining a first time point when the generated power of the power generation system is smaller than the power utilization power of the power station, and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
calculating the total power consumption in the first station based on the first time point, the second time point and the power station power consumption;
determining first discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station or not;
and if not, calculating a first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem.
Further, the second discharge parameters further include a second discharge power and a second discharge order;
acquiring a second discharge parameter of each energy storage subsystem, wherein the second discharge parameter comprises:
determining the current time point as a third time point under the condition that the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
determining a fourth time point when the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
calculating the total power consumption in the second station based on the third time point, the fourth time point and the power station power consumption;
determining second discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station or not;
and if not, calculating a second discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health of each energy storage subsystem.
Further, after the power generation power of the power generation system is greater than a preset threshold, the method further comprises:
determining a fifth time point when the generated power of the power generation system is greater than a preset threshold;
and performing preset operation on each energy storage subsystem based on the comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of each energy storage subsystem.
Further, performing a preset operation on each energy storage subsystem based on a comparison result between the fifth time point and the fourth time point, so as to equalize the electric quantity of each energy storage subsystem, including:
under the condition that the fifth time point is not less than the fourth time point, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
under the condition that the fifth time point is smaller than the fourth time point, calculating residual electric quantity deviation values of the energy storage subsystems;
under the condition that the residual electric quantity deviation value is smaller than a preset deviation value, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power until the preset discharging power is a preset threshold value;
and under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, calculating the average residual electric quantity of each energy storage subsystem, and controlling each energy storage subsystem to carry out internal charging and discharging operations until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
In this embodiment, when the generated power of the power generation system is less than the power consumption of the power station, it is determined whether a power prediction value at a preset time point in the ultra-short term power prediction result is greater than a preset threshold, and if not, it indicates that the time at which the power generation system starts to generate power is not yet close, and each energy storage subsystem is controlled to perform a discharging operation according to a first discharging time period determined based on the short term power prediction result. If the discharge time is larger than the preset discharge time, indicating that the time is close to the time when the power generation system starts to generate power, and controlling each energy storage subsystem to perform discharge operation according to a second discharge time period determined based on the ultra-short-term power prediction result. The prediction precision of the ultra-short-term power prediction mode on the power value in the future short time is higher than the prediction precision of the short-term power, so that when the time of starting power generation of the power generation system is close, the accuracy of the second discharging time period determined by using the ultra-short-term power prediction result is higher, and further the accuracy of discharging control of the energy storage subsystem is higher by using the second discharging time period with higher accuracy, so that the discharging amount of the energy storage subsystem can meet the power demand in a station.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (13)

1. A method for determining discharge time is applied to a controller, and comprises the following steps:
determining whether a power predicted value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value or not under the condition that the power generation power of the power generation system is less than the power utilization power of the power station;
if not, controlling each energy storage subsystem to perform discharging operation according to the determined first discharging parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
if the current value is greater than the preset threshold value, acquiring a second discharge parameter of each energy storage subsystem, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameter until the generated power of the power generation system is greater than the preset threshold value; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
2. The method for determining according to claim 1, wherein determining whether the power prediction value at the preset time point in the ultra-short term power prediction result is greater than a preset threshold value comprises:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
3. The determination method according to claim 1, wherein the first discharge parameter further includes a first discharge power and a first discharge order;
the determination process of the first discharge parameter includes:
determining a first time point when the generated power of the power generation system is smaller than the power utilization power of the power station, and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
calculating the total power consumption in the first station based on the first time point, the second time point and the power station power consumption;
determining first discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station or not;
and if not, calculating a first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem.
4. The determination method according to claim 1, wherein the second discharge parameter further includes a second discharge power and a second discharge order;
acquiring a second discharge parameter of each energy storage subsystem, wherein the second discharge parameter comprises:
determining the current time point as a third time point under the condition that the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
determining a fourth time point when the short-term power in the ultra-short-term power prediction result is greater than a preset threshold;
calculating the total power consumption in the second station based on the third time point, the fourth time point and the power station power consumption;
determining second discharge power of each energy storage subsystem based on the power utilization power of the power station, and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station or not;
and if not, calculating a second discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health of each energy storage subsystem.
5. The determination method according to claim 4, further comprising, after when the generated power of the power generation system is greater than a preset threshold value:
determining a fifth time point when the generated power of the power generation system is greater than a preset threshold;
and performing preset operation on each energy storage subsystem based on the comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of each energy storage subsystem.
6. The determination method according to claim 5, wherein performing a preset operation on each energy storage subsystem based on the comparison result between the fifth time point and the fourth time point to equalize the electric quantity of each energy storage subsystem comprises:
under the condition that the fifth time point is not less than the fourth time point, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
under the condition that the fifth time point is smaller than the fourth time point, calculating residual electric quantity deviation values of the energy storage subsystems;
under the condition that the residual electric quantity deviation value is smaller than a preset deviation value, controlling each energy storage subsystem to enter a standby state, or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power until the preset discharging power is a preset threshold value;
and under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, calculating the average residual electric quantity of each energy storage subsystem, and controlling each energy storage subsystem to carry out internal charging and discharging operations until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
7. A discharge time determination device applied to a controller comprises:
the power determination module is used for determining whether a power predicted value of a preset serial number in the ultra-short term power prediction result is greater than a preset threshold value or not under the condition that the power generation power of the power generation system is less than the power utilization power of the power station;
the first discharge control module is used for controlling each energy storage subsystem to perform discharge operation according to the determined first discharge parameter if the discharge parameter is not greater than the first discharge parameter; the first discharge parameter comprises a first discharge time period; the first discharge parameter is determined based on a short-term power prediction result;
the second discharge control module is used for acquiring a second discharge parameter of each energy storage subsystem if the power generation power is larger than the preset threshold value, and controlling each energy storage subsystem to perform discharge operation according to the determined second discharge parameter until the power generation power of the power generation system is larger than the preset threshold value; the second discharge parameter comprises a second discharge time period; the second discharge parameter is determined based on the ultra-short term power prediction result.
8. The determination apparatus according to claim 7, wherein the power determination module is specifically configured to:
and determining whether the power predicted value of a preset time point in the ultra-short term power predicted result is greater than a preset threshold value at intervals of a preset time interval.
9. The determination apparatus according to claim 7, wherein the first discharge parameter further comprises a first discharge power and a first discharge order;
the device for determining the discharge time further comprises a discharge parameter determination module, wherein the discharge parameter determination module comprises:
the first time point determining submodule is used for determining a first time point when the generated power of the power generation system is smaller than the power utilization power of the power station and determining a second time point when the short-term power in the short-term power prediction result is larger than a preset threshold;
the first electric quantity calculation submodule is used for calculating the total electric quantity in the first station based on the first time point, the second time point and the power station electric power;
the first discharge determining sub-module is used for determining first discharge power of each energy storage subsystem based on the power utilization power of the power station and determining a first discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
the judgment submodule is used for judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the first station;
and the first time period determination submodule is used for calculating the first discharge time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem if the first time period determination submodule is not smaller than the first time period determination submodule.
10. The determination apparatus according to claim 7, wherein the second discharge parameter further comprises a second discharge power and a second discharge order;
the second discharge control module includes:
the second time point determining submodule is used for determining the current time point as a third time point and determining a fourth time point when the short-term power in the ultra-short-term power prediction result is greater than the preset threshold under the condition that the short-term power in the ultra-short-term power prediction result is greater than the preset threshold;
the second electric quantity calculation submodule is used for calculating the total electric quantity in the second station based on the third time point, the fourth time point and the power station electric power;
the second discharge determining submodule is used for determining second discharge power of each energy storage subsystem based on the power utilization power of the power station and determining a second discharge sequence of each energy storage subsystem based on the dischargeable quantity of each energy storage subsystem;
the second judgment submodule is used for judging whether the dischargeable quantity of the energy storage system is not less than the total electricity consumption in the second station;
and the second time period determination submodule is used for calculating a second discharging time period of each energy storage subsystem based on the dischargeable quantity and the battery health degree of each energy storage subsystem if the second time period determination submodule is not smaller than the second time period determination submodule.
11. The determination apparatus according to claim 10, further comprising:
and the electric quantity balancing module is used for determining a fifth time point when the generated power of the power generation system is greater than a preset threshold value, and presetting the energy storage subsystems based on a comparison result of the fifth time point and the fourth time point so as to balance the electric quantity of the energy storage subsystems.
12. The apparatus of claim 11, wherein the charge equalization module comprises:
the first balancing submodule is used for controlling each energy storage subsystem to enter a standby state under the condition that the fifth time point is not less than the fourth time point, or controlling each energy storage subsystem to perform discharging operation according to preset discharging power until the preset discharging power is a preset threshold value; the preset discharge power is related to the power consumption of the power station and the power generation power of a power generation system;
the deviation calculation submodule is used for calculating the residual electric quantity deviation value of each energy storage subsystem under the condition that the fifth time point is smaller than the fourth time point;
the second balancing submodule is used for controlling each energy storage subsystem to enter a standby state or controlling each energy storage subsystem to perform discharging operation according to the preset discharging power under the condition that the residual electric quantity deviation value is smaller than a preset deviation value until the preset discharging power is stopped when a preset threshold value is reached;
and the third balancing submodule is used for calculating the average residual electric quantity of each energy storage subsystem under the condition that the residual electric quantity deviation value is not smaller than a preset deviation value, and controlling each energy storage subsystem to carry out internal charging and discharging operation until the residual electric quantity of each energy storage subsystem is the average residual electric quantity.
13. An electronic device, comprising: a memory and a processor;
wherein the memory is used for storing programs;
a processor calls a program to perform the method of determining a discharge time according to any one of claims 1 to 6.
CN202110150437.3A 2021-02-03 Method and device for determining discharge time and electronic equipment Active CN112968455B (en)

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CN202110150437.3A CN112968455B (en) 2021-02-03 Method and device for determining discharge time and electronic equipment

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Application Number Priority Date Filing Date Title
CN202110150437.3A CN112968455B (en) 2021-02-03 Method and device for determining discharge time and electronic equipment

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CN112968455B CN112968455B (en) 2024-06-28

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