CN116247644A - Charging and discharging method and device based on energy storage system, storage medium and terminal - Google Patents
Charging and discharging method and device based on energy storage system, storage medium and terminal Download PDFInfo
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- CN116247644A CN116247644A CN202111496349.5A CN202111496349A CN116247644A CN 116247644 A CN116247644 A CN 116247644A CN 202111496349 A CN202111496349 A CN 202111496349A CN 116247644 A CN116247644 A CN 116247644A
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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Abstract
Charging and discharging method and device based on energy storage system, storage medium and terminal, wherein the method comprises the following steps: predicting power consumption of each preset period and photovoltaic power generation capacity of a photovoltaic power generation system in a first preset time length in the future; traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount whenever the predicted photovoltaic power generation amount is larger than the power consumption, and subtracting the first preset threshold from the excess power consumption in the preset period to obtain minimum power consumption whenever the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is larger than the first preset threshold; and if the sum of the photovoltaic excess power generation amount in the future first preset time period is smaller than the sum of the minimum power generation amount, acquiring enough electric energy from the power grid and charging the energy storage system before the starting moment of the future first preset time period. The invention can effectively reduce the electricity cost.
Description
Technical Field
The present invention relates to the field of electric power technologies, and in particular, to a charging and discharging method and apparatus based on an energy storage system, a storage medium, and a terminal.
Background
With the development of electric power technology, the current new energy power generation technologies such as solar power generation, wind power generation, geothermal power generation and the like are increasingly widely applied, and have important significance for relieving the increasingly serious environmental pollution problem and the energy exhaustion problem in the current world. However, the new energy power generation is very dependent on climate factors such as illumination, temperature, wind power and the like and geographical position factors, so if the new energy power generation system is directly used for power generation for users, the new energy power generation system has larger randomness, intermittence and passivity, in order to improve the utilization rate of the new energy, people develop an energy storage system, and can collect and store the surplus electric energy which is temporarily unused in a period of time in a certain way, and the energy storage system is used for power supply when power consumption is high or power supply of a power grid is short. The energy storage system is utilized more in factories, scientific and technical parks, office buildings and other occasions with high power consumption or unstable power consumption.
However, in the prior art, the energy storage system is not effectively planned and utilized, and the user generally adopts a simple timing charging and discharging strategy, that is, the user obtains electric energy from the power grid or the photovoltaic power generation system to charge the energy storage system every fixed time, and releases certain electric energy for the campus every fixed time. Because the power consumption of the user and the power generation amount of the photovoltaic power generation system are not predicted in advance in a period of time in the future, and enough power is stored in the energy storage system in advance, in the actual power utilization process in the future, if the power generation amount of the photovoltaic power generation system is far less than the power consumption of the user due to weather and other reasons, the power in the energy storage system is insufficient, at the moment, the power can only be obtained from the power grid for the user. It should be noted that, because the unit for laying the power grid often sets the energy consumption limit standard, the situation that the power of the enterprise power consumption exceeds the power peak value can be added with the over-limit electric charge, if the time period of power taking from the power grid just belongs to the enterprise power consumption peak value, unnecessary expenditure is easily generated due to that the instantaneous power taking exceeds the power peak value of power taking from the power grid, and the power consumption cost is increased.
Therefore, a charging and discharging method based on an energy storage system is needed, which can provide an optimized charging and discharging scheme for the energy storage system and reduce the electricity cost.
Disclosure of Invention
One of the purposes of the invention is to provide a charge and discharge method and device based on an energy storage system, a computer readable storage medium and a terminal, which can provide an optimized charge and discharge scheme for the energy storage system, so that the instantaneous power cannot exceed the upper limit value of the power when the electric energy is obtained from a power grid, thereby reducing the electricity cost.
In order to achieve the above object, an embodiment of the present invention provides a charging and discharging method based on an energy storage system, including the following steps: predicting power consumption of each preset period in a future first preset time period, and predicting photovoltaic power generation capacity of each preset period in the future first preset time period of a photovoltaic power generation system; traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount whenever the predicted photovoltaic power generation amount is larger than the power consumption amount, and subtracting a first preset threshold from the excess power consumption in the preset period to obtain the minimum power consumption amount whenever the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption amount is larger than a first preset threshold, wherein the first preset threshold is the power upper limit value obtained by taking a preset power threshold from a power grid, and the power obtained from the power grid in the preset period; respectively calculating the sum of photovoltaic excess power generation amount in the future first preset time period and the sum of minimum power consumption amount in the future first preset time period; and if the sum of the photovoltaic excess power generation amounts is smaller than the sum of the minimum power generation amounts, acquiring electric energy from the power grid and charging the electric energy into the energy storage system before the starting moment of the first preset time length in the future, so that the total power of the energy storage system is larger than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts.
Optionally, in the process of acquiring electric energy from the power grid and charging the energy storage system, the preset power threshold is used as a power upper limit value for acquiring electric energy from the power grid.
Optionally, in each of the preset periods within the first preset time period in the future, when the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is greater than or equal to the first preset threshold, the energy storage system is controlled to be in a discharge state.
Optionally, controlling the energy storage system to be in a discharge state includes: and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is smaller than or equal to the excess power consumption.
Optionally, controlling the energy storage system to be in a discharge state further includes: and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is larger than or equal to the minimum power consumption amount.
Optionally, the predicting the power consumption of each preset period in the first preset time period in the future includes: acquiring energy consumption data in a second preset time period in the past, wherein the energy consumption data comprises historical power consumption of each historical period in the second preset time period in the past, and the time period of the historical period is consistent with the time period of the preset period; and predicting the power consumption of each preset period in the future first preset time period at least based on the energy consumption data.
Optionally, predicting the power consumption of each of the preset periods within the future first preset time period based at least on the energy consumption data includes: the solar angle information, the air temperature information and the historical power consumption of each historical period in the past second preset time period are adopted as training data to train a first prediction model; and inputting the sunlight angle information and the air temperature forecast information of each preset period in the future first preset time period into the first prediction model to predict the power consumption of each preset period in the future first preset time period.
Optionally, the predicting the photovoltaic power generation amount of each preset period of the photovoltaic power generation system in the first preset time period in the future includes: acquiring photovoltaic power generation amount data in a third preset time period in the past, wherein the photovoltaic power generation amount data comprises historical power generation amounts of all historical periods in the third preset time period in the past, and the time period of the historical periods is consistent with the time period of the preset period; and predicting the photovoltaic power generation capacity of each preset period of the photovoltaic power generation system in the first preset time period in the future at least based on the photovoltaic power generation capacity data.
Optionally, predicting, based at least on the photovoltaic power generation data, the photovoltaic power generation of the photovoltaic power generation system in each preset period within the first preset time period in the future includes: the cloud layer thickness information, the air temperature information, the sunlight angle information and the historical power generation amount of each historical period in the third preset time period are adopted as training data, and a second prediction model is trained; and inputting cloud layer thickness information, air temperature forecast information and sunlight angle information of each preset period in the future first preset time period into the second prediction model to predict photovoltaic power generation capacity of the photovoltaic power generation system in each preset period in the future first preset time period.
Optionally, the sunlight angle information is determined by adopting the following formula:
sinHs＝sinφ×sinδ×cosφ×cost；
wherein, hs is used for representing the sun altitude at time t, namely the sunlight angle information; phi is used for representing latitude information in geographic longitude and latitude; delta is used for representing solar declination and is the included angle between the equatorial plane of the earth and the connecting line of the sun and the center of the earth; t is used to indicate the moment of computation.
Optionally, the charging and discharging method based on the energy storage system meets one or more of the following: the prediction algorithm for constructing the first prediction model is selected from: pre-training deep neural network algorithm and linear regression network algorithm.
Optionally, the prediction algorithm for constructing the second prediction model is selected from: pre-training deep neural network algorithm and linear regression network algorithm.
The embodiment of the invention also provides a charging and discharging device based on the energy storage system, which comprises:
the prediction module is used for predicting the power consumption of each preset period in a first preset time length in the future and predicting the photovoltaic power generation capacity of each preset period of the photovoltaic power generation system in the first preset time length in the future; the periodic electric quantity calculation module is used for traversing each preset period, subtracting the electric quantity from the photovoltaic generated energy in the preset period to obtain photovoltaic excess generated energy whenever the predicted photovoltaic generated energy is larger than the electric quantity, and subtracting a first preset threshold from the excess electric quantity in the preset period to obtain the minimum electric quantity whenever the excess electric quantity obtained by subtracting the photovoltaic generated energy from the electric quantity is larger than the first preset threshold, wherein the first preset threshold is the electric quantity obtained from the electric network in the preset period by adopting a preset power threshold as the power upper limit value of the electric quantity obtained from the electric network; the electricity quantity sum calculation module is used for calculating the sum of photovoltaic excess electricity generation quantity in the future first preset time period and the sum of minimum electricity taking quantity in the future first preset time period respectively; the power acquisition module is used for acquiring power from the power grid and charging the power storage system before the starting moment of the first preset time length in the future when the sum of the photovoltaic excess power generation amount is smaller than the sum of the minimum power generation amount, so that the total power of the power storage system is larger than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amount from the sum of the minimum power generation amount.
The embodiment of the invention also provides a storage medium, on which computer instructions are stored, wherein the computer instructions execute the steps of the charge and discharge method based on the energy storage system when running.
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor executes the steps of the charge and discharge method based on the energy storage system when running the computer instructions.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, firstly, the power consumption and the photovoltaic power generation of each preset period in a first preset time length in the future are predicted; then traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount every time the predicted photovoltaic power generation amount is larger than the power consumption, and subtracting the first preset threshold from the excess power consumption in the preset period to obtain minimum power consumption every time the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is larger than the first preset threshold; and finally, when the sum of the photovoltaic excess power generation amounts in the future first preset time period is smaller than the sum of the minimum power generation amounts, acquiring electric energy from the power grid and charging the energy storage system before the starting time of the future first preset time period, so that the total electric quantity of the energy storage system is larger than or equal to the difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts. Compared with the prior art, the energy storage system is charged and discharged only by adopting a simple timing charging and discharging strategy, when the generated energy of the photovoltaic power generation system is far less than the power consumption of a user, and the electric quantity of the energy storage system is insufficient, the power can be taken from the power grid in real time only according to the power consumption requirement, and the power consumption is increased due to the fact that the instantaneous power exceeds the power peak value of the power taken from the power grid, the overrun electric charge is generated. According to the embodiment of the invention, the power consumption and the photovoltaic power generation amount in a period of time in the future are accurately predicted, and the electric quantity which needs to be acquired from the power grid in advance and charged into the energy storage system is determined according to the prediction result, so that the energy storage system has enough electric quantity for a user in the future, the situation that the instantaneous power acquired from the power grid in the power utilization peak period exceeds the power peak acquired from the power grid is avoided, and the power utilization cost is effectively reduced.
Further, in the process of acquiring electric energy from the power grid and charging the energy storage system, the preset power threshold is used as the upper limit value of the power acquired from the power grid, so that the instantaneous power acquired from the power grid when the electric energy acquired from the power grid is charged into the energy storage system cannot exceed the upper limit value of the power acquired from the power grid, and therefore, the over-limit electric charge cannot be generated.
Further, when the energy storage system is controlled to be in a discharging state, the energy storage system is controlled to discharge by adopting an excess discharge amount, wherein the excess discharge amount is larger than or equal to the minimum electricity taking amount, so that the effect that the energy storage system releases enough electric quantity for a user to use in a power consumption peak period (namely, when the power consumption is far larger than the photovoltaic power generation amount) is achieved, and the energy storage system is not required to acquire too much electric quantity from a power grid, so that the electric quantity acquired from the power grid in a corresponding period is ensured not to exceed the first preset threshold value, and further the instant electricity taking power taken from the power grid is ensured not to exceed the upper limit value of the electricity taking power, and therefore, the over-limit electricity fee is also not generated.
Further, only when the sum of the photovoltaic excess power generation amounts within the first preset time period in the future is smaller than the sum of the minimum power generation amounts, electric energy is obtained from the power grid and is charged into the energy storage system before the starting time of the first preset time period in the future, namely when the photovoltaic power generation system can provide enough electric energy and the sum of the photovoltaic excess power generation amounts is larger than the sum of the minimum power generation amounts, the electric energy provided by the photovoltaic power generation system is preferentially used, and the electric energy does not need to be obtained from the power grid in advance to be charged into the energy storage system, so that full utilization of photovoltaic power generation is realized, the utilization rate of new energy is improved, and the electricity cost is reduced.
Further, when the power consumption and the photovoltaic power generation amount of each preset period in a first preset time period in the future are predicted, a prediction algorithm is adopted to construct a first prediction model and a second prediction model, the historical power consumption of each historical period in a second preset time period in the past and other information related to the power consumption are input to train the first prediction model, the historical power generation amount and the illumination related information of each historical period in a third preset time period in the past are input to train the second prediction model, the number relation between the sample parameters and the sample results of the past sample data can be determined through training and learning, and further in a follow-up prediction step, the parameters to be predicted are input to be trained to obtain a model for prediction, and an accurate prediction result can be obtained.
Drawings
FIG. 1 is a flow chart of a method of charging and discharging based on an energy storage system in an embodiment of the invention;
FIG. 2 is a graph of future power consumption and photovoltaic power generation in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a charge and discharge device based on an energy storage system according to an embodiment of the present invention.
Detailed Description
As described above, the new energy power generation system is directly used for generating power for users, and has larger randomness, intermittence and passivity, so in order to improve the utilization rate of new energy, people have developed an energy storage system, and surplus electric energy temporarily unused in a period of time is collected and stored in a certain way, and the energy storage system is used for supplying power when the power consumption is high or the power supply of the power grid is short.
In the prior art, users typically employ a simple timed charge-discharge strategy, i.e., obtain electrical energy from a power grid or a photovoltaic power generation system to charge an energy storage system every fixed time, and release certain electrical energy for use on a campus every fixed time. The method does not predict the power consumption of the user and the power generation amount of the photovoltaic power generation system in a period of time in the future in advance, and stores enough power in the energy storage system in advance according to the prediction result so as to meet the power consumption requirement in the future.
The inventor of the invention finds that in the actual electricity utilization process, if the generated energy of the photovoltaic power generation system is far less than the electricity consumption of a user due to weather and other reasons, the electric energy in the energy storage system is insufficient, and at the moment, only electric energy can be obtained from a power grid for the user to use. However, it should be pointed out that, because the unit for laying the power grid often sets the energy consumption limit standard, the power consumption limit standard is added to the situation that the peak power of the power consumption of the enterprise exceeds the upper limit of the power consumption, if the time period of power consumption from the power grid just belongs to the peak of the power consumption of the enterprise, unnecessary expenditure is easily generated due to the fact that the instantaneous power consumption exceeds the peak power of the power consumption from the power grid, and the power consumption cost is increased.
In the embodiment of the invention, firstly, the power consumption and the photovoltaic power generation of each preset period of a first preset time length in the future are predicted; then traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount every time the predicted photovoltaic power generation amount is larger than the power consumption, and subtracting the first preset threshold from the excess power consumption in the preset period to obtain minimum power consumption every time the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is larger than the first preset threshold; and finally, when the sum of the photovoltaic excess power generation amounts in the future first preset time period is smaller than the sum of the minimum power generation amounts, acquiring electric energy from the power grid and charging the energy storage system before the starting time of the future first preset time period, so that the total electric quantity of the energy storage system is larger than or equal to the difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts. Compared with the prior art, the energy storage system is charged and discharged only by adopting a simple timing charging and discharging strategy, when the generated energy of the photovoltaic power generation system is far less than the power consumption of a user, and the electric quantity of the energy storage system is insufficient, the power can be taken from the power grid in real time only according to the power consumption requirement, and the power consumption is increased due to the fact that the instantaneous power exceeds the power peak value of the power taken from the power grid, the overrun electric charge is generated. According to the embodiment of the invention, the power consumption and the photovoltaic power generation amount in a period of time in the future are accurately predicted, and the electric quantity which needs to be acquired from the power grid in advance and charged into the energy storage system is determined according to the prediction result, so that the energy storage system has enough electric quantity for a user in the future, the situation that the instantaneous power acquired from the power grid in the power utilization peak period exceeds the power peak acquired from the power grid to generate an overrun electric charge is avoided, and the power utilization cost is effectively reduced.
In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 1, fig. 1 is a flowchart of a charging and discharging method based on an energy storage system according to an embodiment of the present invention. The method may include steps S11 to S14:
step S11: predicting power consumption of each preset period in a future first preset time period, and predicting photovoltaic power generation capacity of each preset period in the future first preset time period of a photovoltaic power generation system;
step S12: traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount whenever the predicted photovoltaic power generation amount is larger than the power consumption, and subtracting the first preset threshold from the excess power consumption in the preset period to obtain minimum power consumption whenever the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is larger than the first preset threshold;
step S13: respectively calculating the sum of photovoltaic excess power generation amount in the future first preset time period and the sum of minimum power consumption amount in the future first preset time period;
Step S14: and if the sum of the photovoltaic excess power generation amounts is smaller than the sum of the minimum power generation amounts, acquiring electric energy from the power grid and charging the electric energy into the energy storage system before the starting moment of the first preset time length in the future, so that the total power of the energy storage system is larger than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts.
In a specific implementation of step S11, the future first preset duration may be any time period after the current time, and the future first preset duration may be divided into a plurality of preset periods.
As a non-limiting example, the future first preset duration may be 8 hours, 10 hours, 12 hours, 24 hours, etc., and the preset period may be 15 minutes, 20 minutes, 30 minutes, etc., and the embodiment of the present invention does not limit the future first preset duration and the specific time of the preset period.
In a first specific implementation manner of the embodiment of the present invention, 10 hours may be used as the first preset time length in the future, and 8 am is the next day: 00 is taken as the starting time of the first preset duration in the future, 15 minutes is taken as the preset period, so that the next day 8 can be predicted: 00am to 18: power consumption per 15 minutes within 00pm and photovoltaic power generation of the photovoltaic power generation system. Wherein, taking 15 minutes as the preset period, 8:00am to 18: there are 40 cycles between 00 pm.
In a second specific implementation of the embodiment of the present invention, 16 hours may be used as the first preset time length in the future, and 6 am is the next day: 00 is taken as the starting time of the first preset duration in the future, 30 minutes is taken as the preset period, and the following day 6 can be predicted: 00am to 22: power consumption per 30 minutes within 00pm and photovoltaic power generation of the photovoltaic power generation system. Wherein, taking 30 minutes as the preset period, 6:00am to 22: there are 32 cycles between 00 pm.
Further, the predicting the power consumption of each preset period in the first preset time period in the future includes: acquiring energy consumption data in a second preset time period in the past, wherein the energy consumption data comprises historical power consumption of each historical period in the second preset time period in the past, and the time period of the historical period is consistent with the time period of the preset period; and predicting the power consumption of each preset period in the future first preset time period at least based on the energy consumption data.
Further, predicting the power consumption of each of the preset periods within the future first preset time period based at least on the power consumption data includes: the solar angle information, the air temperature information and the historical power consumption of each historical period in the past second preset time period are adopted as training data to train a first prediction model; and inputting the sunlight angle information and the air temperature forecast information of each preset period in the future first preset time period into the first prediction model to predict the power consumption of each preset period in the future first preset time period.
Wherein the past second preset time period may be a time period within a closer date than the time period to be predicted. It can be appreciated that the second preset time period should not be too short in the past, otherwise, the data amount for training the first prediction model is too small, and the accuracy of prediction is affected; the second preset time period in the past should not be too long, otherwise, the data for training the first prediction model will contain too much early data, the current practical situation cannot be represented, the timeliness is too low, and the operation cost is increased due to too much training data, so that the prediction efficiency is reduced. In addition, it can be understood that the time period to which the past second preset time period belongs is set to be the same as or similar to the time period to which the future first preset time period belongs, so that the accuracy of prediction can be improved.
In one embodiment of the present invention, for example, if it is desired to predict the next day 8:00am to 18: power consumption per 15 minutes in 00pm, 8 yesterday may be used: 00am to 18:00pm or previous day 8:00am to 18: solar angle information, air temperature information and historical power consumption in every 15 minutes in 00pm are used as training data to train the first prediction model.
The solar angle information and the air temperature information in each history period in the second preset time period in the past are respectively used for indicating the solar angle information and the air temperature information in preset time (such as starting time, middle time and ending time) of each history period or respectively used for indicating the average value of the solar angle information and the average value of the air temperature information in each history period because the solar angle information and the air temperature information have the characteristic of transient change.
Further, the sunlight angle information at the time t is determined by adopting the following formula:
sinHs＝sinφ×sinδ×cosφ×cost；
wherein, hs is used for representing the sun altitude at time t, namely the sunlight angle information; phi is used for representing latitude information in geographic longitude and latitude; delta is used for representing solar declination and is the included angle between the equatorial plane of the earth and the connecting line of the sun and the center of the earth; t is used to indicate the moment of computation.
Further, the predicting the photovoltaic power generation amount of each preset period of the photovoltaic power generation system in the first preset time period in the future includes: acquiring photovoltaic power generation amount data in a third preset time period in the past, wherein the photovoltaic power generation amount data comprises historical power generation amounts of all historical periods in the third preset time period in the past, and the time period of the historical periods is consistent with the time period of the preset period; and predicting the photovoltaic power generation capacity of each preset period of the photovoltaic power generation system in the first preset time period in the future at least based on the photovoltaic power generation capacity data.
Based on at least the photovoltaic power generation data, predicting the photovoltaic power generation of each preset period of the photovoltaic power generation system within the first preset time period in the future comprises: the cloud layer thickness information, the air temperature information, the sunlight angle information and the historical power generation amount of each historical period in the third preset time period are adopted as training data, and a second prediction model is trained; and inputting cloud layer thickness information, air temperature forecast information and sunlight angle information of each preset period in the future first preset time period into the second prediction model to predict photovoltaic power generation capacity of the photovoltaic power generation system in each preset period in the future first preset time period.
The setting manner of the past third preset duration may be consistent with the second preset duration, that is, a time period in a date relatively close to a time period to be predicted. In one embodiment of the present invention, if the next day 8 is predicted: 00am to 18: every 15 minutes of photovoltaic power generation in 00pm, 8 yesterday may be used: 00am to 18:00pm or previous day 8:00am to 18: cloud thickness information, air temperature information, solar angle information and historical power generation amount in every 15 minutes in 00pm are used as training data to train the second prediction model.
The cloud layer thickness information can be extracted from satellite cloud image information, and specifically is cloud layer thickness information of a geographic position where the photovoltaic power generation system is located.
It should be noted that the cloud thickness information has instantaneous variability as well as the solar angle information and the air temperature information, and thus the cloud thickness information of each history period in the third preset period in the past may be used to indicate the cloud thickness information of a preset time (such as a start time, an intermediate time, or an end time) in each history period, or the cloud thickness average value in each history period.
It should be noted that the prediction model may be trained in advance using sample data in a plurality of history periods as training data. More specifically, the preset model may be trained in advance by using sample data in a plurality of historical time periods, so that a number relationship between sample parameters and sample results of past sample data is determined through training learning, a prediction model is obtained, and in a subsequent prediction step, the results are predicted by using parameters to be predicted.
Further, the prediction algorithm constructing the first prediction model and the second prediction model may be selected from: pre-training deep neural network algorithm and linear regression network algorithm. Other types of algorithms capable of achieving accurate intelligent analysis and prediction can be used, and the embodiment of the invention does not limit specific prediction algorithms.
In the embodiment of the invention, when the power consumption and the photovoltaic power generation amount of each preset period in a first preset time period in the future are predicted, a prediction algorithm is adopted to construct the first prediction model and the second prediction model, the historical power consumption of each historical period in the second preset time period in the past and other information related to the power consumption are input to train the first prediction model, the historical power generation amount and the illumination related information of each historical period in the third preset time period in the past are input to train the second prediction model, and then in a subsequent prediction step, parameters to be predicted are respectively input to train to obtain models for prediction, so that an accurate prediction result can be obtained.
In the implementation of step S12, in the process of traversing each preset period in the first preset period in the future, whenever the predicted photovoltaic power generation amount in a certain preset period is greater than the power consumption amount (for example, in a period from 12:00am to 13:00pm in a certain sunny day, the illumination is particularly strong, the cloud layer is very thin, the air temperature is high, and at this time, the electric quantity generated by the photovoltaic power generation system is more, and there is an excess in addition to the electric quantity for the user), the power consumption amount is subtracted from the photovoltaic power generation amount in the preset period to obtain the photovoltaic excess power generation amount in the preset period. In a specific implementation, the photovoltaic excess power generation will be stored in an energy storage system.
In the process of traversing each preset period in the first preset time period in the future, each time the predicted power consumption in a certain preset period is larger than the photovoltaic power generation amount, the power generated by the photovoltaic power generation system in the preset period is insufficient to support the energy consumption of a user (commonly seen in cloudy, cloudy and rainy days with weaker illumination, and the like), and at the moment, the power needs to be obtained from a power grid or an energy storage system for the user.
It should be noted that if the period of time for obtaining the electric energy from the power grid just belongs to the peak of enterprise electricity consumption, the instantaneous electricity-obtaining power exceeds the peak of the power obtained from the power grid, so that the over-limit electricity fee is easily generated, and the electricity cost is increased. Therefore, it should be ensured that the instantaneous power drawn from the grid is always lower than the peak power drawn from the grid, in particular by setting the first preset threshold value and controlling the amount of power drawn from the grid in any one preset period to be smaller than the first preset threshold value, in which case the minimum amount of power drawn from the energy storage system in the preset period should be subtracted from the amount of power drawn in the preset period by subtracting the first preset threshold value.
The first preset threshold is a power upper limit value which adopts a preset power threshold as power taken from a power grid, and the electric quantity obtained from the power grid in the preset period; the preset power threshold is a preset proportion of the power peak taken from the grid, which may be selected from 60% to 100%, for example 80%. It is noted that the preset power threshold may be set to a constant throughout the future first preset time period, and thus the first preset threshold may also be a constant throughout the future first preset time period.
In the implementation of step S13, the sum of the photovoltaic excess power generation amount in the future first preset time period and the sum of the minimum power consumption amount in the future first preset time period are calculated respectively.
In the implementation of step S14, if the sum of the photovoltaic excess power generation amounts is smaller than the sum of the minimum power generation amounts, before the starting time of the first preset time period in the future, electric energy is obtained from the power grid and is charged into the energy storage system, so that the total power of the energy storage system is greater than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts.
Further, in the process of acquiring electric energy from the power grid and charging the energy storage system, the preset power threshold value is used as the upper power limit value of the electric energy from the power grid.
It can be appreciated that in the embodiment of the invention, by accurately predicting the power consumption and the photovoltaic power generation amount in a period of time in the future and determining the electric quantity required to be acquired from the power grid in advance and charged into the energy storage system according to the prediction result, the energy storage system has enough electric quantity for a user to use in the future, thereby avoiding the situation that a large amount of electric energy is required to be acquired from the electric quantity in the electricity consumption peak period, and further causing the situation that the instantaneous electricity taking power from the power grid exceeds the power peak value of the electricity taking power from the power grid to generate an overrun electricity charge, and effectively reducing the electricity consumption cost.
In addition, it may be further understood that, in the embodiment of the present invention, only when the sum of the photovoltaic excess power generation amounts within the future first preset time period is smaller than the sum of the minimum power generation amounts, sufficient electric energy is obtained from the power grid and is charged into the energy storage system before the starting time of the future first preset time period, that is, when the photovoltaic power generation system can provide sufficient electric energy, and the sum of the photovoltaic excess power generation amounts is larger than the sum of the minimum power generation amounts, the electric energy provided by the photovoltaic power generation system is preferentially used, and the electric energy does not need to be obtained from the power grid in advance to be charged into the energy storage system, so that full utilization of photovoltaic power generation is achieved, the utilization rate of new energy is improved, and the electricity cost is reduced.
Further, the charging and discharging method based on the energy storage system further comprises the following steps: and in each preset period in the future first preset time period, controlling the energy storage system to be in a discharge state when the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is greater than or equal to the first preset threshold value.
Further, controlling the energy storage system to be in a discharge state includes: and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is smaller than or equal to the excess power consumption.
Further, controlling the energy storage system to be in a discharge state further includes: and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is larger than or equal to the minimum power consumption amount.
Referring to fig. 2, fig. 2 is a graph of future power consumption and photovoltaic power generation in an embodiment of the present invention.
t1 to t5 are used for representing a first preset time length in the future, wherein t1 represents a starting time of the first preset time length in the future, and t5 represents an ending time of the first preset time length in the future, wherein the photovoltaic power generation amount is larger than the power consumption amount between t1 and t2, the energy storage system can be controlled to be in a charging state in the period, and the photovoltaic power generation system is controlled to charge the excess photovoltaic power generation amount (namely the photovoltaic power generation amount-power consumption amount) into the energy storage system; between t2 and t5, the power consumption is larger than the photovoltaic power generation amount; between t3 and t4, the power consumption-photovoltaic power generation amount > a first preset threshold (i.e., photovoltaic power generation amount+first preset threshold < power consumption), during which time the energy storage system can be controlled to be in a discharge state.
It should be noted that the first preset threshold is used to indicate that a preset power threshold is used as an upper power limit value for taking power from the power grid, and the electric quantity obtained from the power grid in the preset period, where the preset power threshold may be a constant in the whole future first preset duration, and thus the first preset threshold may also be a constant in the future first preset duration.
And the area A represents the sum of photovoltaic excess power generation in the first preset time period in the future, and the area B represents the sum of minimum power consumption in the first preset time period in the future.
It may be appreciated that if the area of the area a is smaller than the area of the area B, which means that the sum of the photovoltaic excess power generation amounts within the future first preset duration is smaller than the sum of the minimum power generation amounts, then electrical energy may be obtained from the power grid and charged into the energy storage system before the starting time of the future first preset duration (before time t 1), so that the total electrical energy of the energy storage system is greater than or equal to a power extraction difference value (i.e., the difference obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts) (i.e., the difference obtained by subtracting the area of the area a from the area of the area B).
Referring to fig. 3, fig. 3 is a schematic structural diagram of a charging and discharging device based on an energy storage system according to an embodiment of the present invention. The energy storage system-based charging and discharging device may include:
the prediction module 31 is configured to predict power consumption of each preset period in a first preset time period in the future, and predict photovoltaic power generation capacity of each preset period in the first preset time period in the future;
The periodic electricity quantity calculation module 32 traverses each preset period, subtracts the electricity consumption from the photovoltaic electricity generation quantity in the preset period to obtain photovoltaic excess electricity generation quantity whenever the predicted photovoltaic electricity generation quantity is larger than the electricity consumption, and subtracts a first preset threshold from the excess electricity consumption in the preset period to obtain minimum electricity consumption whenever the excess electricity consumption obtained by subtracting the photovoltaic electricity generation quantity from the electricity consumption is larger than the first preset threshold, wherein the first preset threshold is an electricity quantity obtained from the electricity grid in the preset period by adopting a preset power threshold as an upper power limit value of electricity taken from the electricity grid;
a sum of electricity calculation module 33, configured to calculate a sum of photovoltaic excess electricity generation amounts in the future first preset time period and a sum of minimum electricity consumption amounts in the future first preset time period, respectively;
and the electric energy obtaining module 34 is configured to obtain electric energy from the power grid and charge the energy storage system before the starting time of the first preset time period in the future when the sum of the photovoltaic excess power generation amounts is smaller than the sum of the minimum power generation amounts, so that the total electric energy of the energy storage system is greater than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts.
Regarding the principle, specific implementation and beneficial effects of the charge and discharge device based on the energy storage system, please refer to the foregoing and the related description of the charge and discharge method based on the energy storage system shown in fig. 1 to 2, which are not repeated here.
The embodiment of the invention also provides a storage medium which can be a computer readable storage medium, and the computer instructions are stored on the storage medium, and the computer instructions execute the steps of the charge and discharge method based on the energy storage system when running. The computer readable storage medium may include non-volatile memory (non-volatile) or non-transitory memory, and may also include optical disks, mechanical hard disks, solid state disks, and the like.
Specifically, in the embodiment of the present invention, the processor may be a central processing unit (central processing unit, abbreviated as CPU), and the processor may also be other general purpose processors, digital signal processors (digital signal processor, abbreviated as DSP), application specific integrated circuits (application specific integrated circuit, abbreviated as ASIC), off-the-shelf programmable gate arrays (field programmable gate array, abbreviated as FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It should also be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically erasable ROM (electrically EPROM, EEPROM), or a flash memory. The volatile memory may be a random access memory (random access memory, RAM for short) which acts as an external cache. By way of example but not limitation, many forms of random access memory (random access memory, abbreviated as RAM) are available, such as static random access memory (static RAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, abbreviated as DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus random access memory (direct rambus RAM, abbreviated as DR RAM).
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor executes the steps of the charge and discharge method based on the energy storage system when running the computer instructions. The terminal can include, but is not limited to, terminal equipment such as a mobile phone, a computer, a tablet computer, a server, a cloud platform, and the like.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, the character "/" indicates that the front and rear associated objects are an "or" relationship.
The term "plurality" as used in the embodiments herein refers to two or more.
The first, second, etc. descriptions in the embodiments of the present application are only used for illustrating and distinguishing the description objects, and no order division is used, nor does it indicate that the number of the devices in the embodiments of the present application is particularly limited, and no limitation on the embodiments of the present application should be construed.
It should be noted that the serial numbers of the steps in the present embodiment do not represent a limitation on the execution sequence of the steps.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (15)
1. The charging and discharging method based on the energy storage system is characterized by comprising the following steps of:
predicting power consumption of each preset period in a future first preset time period, and predicting photovoltaic power generation capacity of each preset period in the future first preset time period of a photovoltaic power generation system;
traversing each preset period, subtracting the power consumption from the photovoltaic power generation amount in the preset period to obtain photovoltaic excess power generation amount whenever the predicted photovoltaic power generation amount is larger than the power consumption amount, and subtracting a first preset threshold from the excess power consumption in the preset period to obtain the minimum power consumption amount whenever the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption amount is larger than a first preset threshold, wherein the first preset threshold is the power upper limit value obtained by taking a preset power threshold from a power grid, and the power obtained from the power grid in the preset period;
Respectively calculating the sum of photovoltaic excess power generation amount in the future first preset time period and the sum of minimum power consumption amount in the future first preset time period;
and if the sum of the photovoltaic excess power generation amounts is smaller than the sum of the minimum power generation amounts, acquiring electric energy from the power grid and charging the electric energy into the energy storage system before the starting moment of the first preset time length in the future, so that the total power of the energy storage system is larger than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amounts from the sum of the minimum power generation amounts.
2. The method of claim 1, wherein the preset power threshold is used as an upper power limit for drawing power from the power grid during the process of drawing power from the power grid and charging the energy storage system.
3. The method according to claim 1, wherein the method further comprises:
and in each preset period in the future first preset time period, controlling the energy storage system to be in a discharge state when the excess power consumption obtained by subtracting the photovoltaic power generation amount from the power consumption is greater than or equal to the first preset threshold value.
4. The method of claim 3, wherein controlling the energy storage system to a discharge state comprises:
and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is smaller than or equal to the excess power consumption.
5. The method of claim 3, wherein controlling the energy storage system to a discharged state further comprises:
and controlling the energy storage system to discharge by adopting an excess discharge amount, wherein the excess discharge amount is larger than or equal to the minimum power consumption amount.
6. The method of claim 1, wherein predicting the power consumption for each of the predetermined periods within the first predetermined time period in the future comprises:
acquiring energy consumption data in a second preset time period in the past, wherein the energy consumption data comprises historical power consumption of each historical period in the second preset time period in the past, and the time period of the historical period is consistent with the time period of the preset period;
and predicting the power consumption of each preset period in the future first preset time period at least based on the energy consumption data.
7. The method of claim 6, wherein predicting the power consumption for each of the predetermined periods within the future first predetermined time period based at least on the energy consumption data comprises:
The solar angle information, the air temperature information and the historical power consumption of each historical period in the past second preset time period are adopted as training data to train a first prediction model;
and inputting the sunlight angle information and the air temperature forecast information of each preset period in the future first preset time period into the first prediction model to predict the power consumption of each preset period in the future first preset time period.
8. The method of claim 1, wherein predicting photovoltaic power generation of each of the predetermined periods of the photovoltaic power generation system for the first predetermined length of time in the future comprises:
acquiring photovoltaic power generation amount data in a third preset time period in the past, wherein the photovoltaic power generation amount data comprises historical power generation amounts of all historical periods in the third preset time period in the past, and the time period of the historical periods is consistent with the time period of the preset period;
and predicting the photovoltaic power generation capacity of each preset period of the photovoltaic power generation system in the first preset time period in the future at least based on the photovoltaic power generation capacity data.
9. The method of claim 8, wherein predicting photovoltaic power generation of each of the preset periods of the photovoltaic power generation system for the first preset time period in the future based at least on the photovoltaic power generation data comprises:
The cloud layer thickness information, the air temperature information, the sunlight angle information and the historical power generation amount of each historical period in the third preset time period are adopted as training data, and a second prediction model is trained;
and inputting cloud layer thickness information, air temperature forecast information and sunlight angle information of each preset period in the future first preset time period into the second prediction model to predict photovoltaic power generation capacity of the photovoltaic power generation system in each preset period in the future first preset time period.
10. The method according to claim 7 or 9, wherein the solar angle information is determined using the following formula:
sinHs＝sinφ×sinδ×cosφ×cost；
wherein, hs is used for representing the sun altitude at time t, namely the sunlight angle information; phi is used for representing latitude information in geographic longitude and latitude; delta is used for representing solar declination and is the included angle between the equatorial plane of the earth and the connecting line of the sun and the center of the earth; t is used to indicate the moment of computation.
11. The method of claim 7, wherein one or more of the following is satisfied:
the prediction algorithm for constructing the first prediction model is selected from: pre-training deep neural network algorithm and linear regression network algorithm.
12. The method of claim 9, wherein one or more of the following is satisfied:
the prediction algorithm for constructing the second prediction model is selected from: pre-training deep neural network algorithm and linear regression network algorithm.
13. A charging and discharging device based on an energy storage system, comprising:
the prediction module is used for predicting the power consumption of each preset period in a first preset time length in the future and predicting the photovoltaic power generation capacity of each preset period of the photovoltaic power generation system in the first preset time length in the future;
the periodic electric quantity calculation module is used for traversing each preset period, subtracting the electric quantity from the photovoltaic generated energy in the preset period to obtain photovoltaic excess generated energy whenever the predicted photovoltaic generated energy is larger than the electric quantity, and subtracting a first preset threshold from the excess electric quantity in the preset period to obtain the minimum electric quantity whenever the excess electric quantity obtained by subtracting the photovoltaic generated energy from the electric quantity is larger than the first preset threshold, wherein the first preset threshold is the electric quantity obtained from the electric network in the preset period by adopting a preset power threshold as the power upper limit value of the electric quantity obtained from the electric network;
The electricity quantity sum calculation module is used for calculating the sum of photovoltaic excess electricity generation quantity in the future first preset time period and the sum of minimum electricity taking quantity in the future first preset time period respectively;
the power acquisition module is used for acquiring power from the power grid and charging the power storage system before the starting moment of the first preset time length in the future when the sum of the photovoltaic excess power generation amount is smaller than the sum of the minimum power generation amount, so that the total power of the power storage system is larger than or equal to a power taking difference value, and the power taking difference value is a difference value obtained by subtracting the sum of the photovoltaic excess power generation amount from the sum of the minimum power generation amount.
14. A storage medium having stored thereon a computer program, which when run by a processor performs the steps of the energy storage system based charging and discharging method according to any of claims 1 to 12.
15. A terminal comprising a memory and a processor, the memory having stored thereon a computer program executable on the processor, characterized in that the processor executes the steps of the energy storage system based charging and discharging method according to any of claims 1 to 12 when the computer program is executed by the processor.
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