CN116581794A - Energy storage regulation and control method and system - Google Patents
Energy storage regulation and control method and system Download PDFInfo
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- CN116581794A CN116581794A CN202310583685.6A CN202310583685A CN116581794A CN 116581794 A CN116581794 A CN 116581794A CN 202310583685 A CN202310583685 A CN 202310583685A CN 116581794 A CN116581794 A CN 116581794A
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Classifications
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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
- 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
- H02J3/004—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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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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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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The embodiment of the invention provides an energy storage regulation and control method and system. Wherein the method comprises the following steps: calculating the maximum demand in the first prediction period under the condition that the power of the transformer does not exceed the rated power of the transformer according to the historical maximum demand and the load prediction power in the first prediction period; according to the maximum demand in the first prediction period, calculating the charging power or the discharging power of the energy storage device in the next period; wherein the next period is located within the first prediction period. The invention can reduce the influence of the prediction error on the charge and discharge of the stored energy and avoid the overload problem of the transformer.
Description
Technical Field
The invention relates to the technical field of energy storage regulation and control, in particular to an energy storage regulation and control method and system.
Background
With the rapid development of park-level comprehensive energy systems, more and more photovoltaic, energy storage, hydrogen energy and experimental equipment are connected, and the load randomness of the photovoltaic, the hydrogen energy and the experimental equipment can impact a transformer and a power grid, so that the safety problem can also exist. In order to avoid adverse effects caused by the randomness of the load, the purpose of peak clipping and valley filling can be achieved through the charge and discharge of the energy storage device, so that the stability of the load is maintained.
At present, when calculating the charge and discharge power of the energy storage device, a mathematical model of constraint conditions and objective functions is generally established according to 24-hour load prediction and optical power prediction, and then the mathematical model is solved by an operation planning optimization method. However, in the mode, errors exist in load and photovoltaic prediction, so that the calculated errors of the stored energy charging and discharging power are larger, overload of a transformer can be caused, and potential safety hazard problems exist.
Disclosure of Invention
The embodiment of the invention aims to provide an energy storage regulation and control method and system, which can reduce the influence of prediction errors on energy storage charge and discharge and avoid the overload problem of a transformer. The specific technical scheme is as follows:
the invention provides an energy storage regulation and control method, which comprises the following steps:
calculating the maximum demand in the first prediction period under the condition that the power of the transformer does not exceed the rated power of the transformer according to the historical maximum demand and the load prediction power in the first prediction period;
according to the maximum demand in the first prediction period, calculating the charging power or the discharging power of the energy storage device in the next period; wherein the next period of time is within the first prediction period.
Optionally, the calculating the maximum demand in the first prediction period according to the historical maximum demand and the load predicted power in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer includes:
According to the historical maximum demand and the load predicted power in the first prediction period, minimizing the maximum demand in the first prediction period through energy storage regulation under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter; wherein the energy storage parameters include energy storage power and energy storage capacity.
Optionally, the predicting the power according to the historical maximum demand and the load in the first prediction period, minimizing the maximum demand in the first prediction period through energy storage adjustment under the condition that the power of the transformer does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter, includes:
calculating the demand in the first prediction period according to the load prediction power in the first prediction period;
and if the required amount in the first prediction period is not less than the historical maximum required amount, minimizing the maximum required amount in the first prediction period through energy storage adjustment under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter.
Optionally, the calculating the demand in the first prediction period according to the load prediction power in the first prediction period includes:
Acquiring load predicted power and power generation equipment predicted power at each moment in the first prediction period;
calculating a power difference value of the moment corresponding to the load predicted power and the power generation equipment predicted power;
and obtaining the demand in the first prediction period according to the power difference value.
Optionally, the calculating the maximum demand in the first prediction period according to the historical maximum demand and the load predicted power in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer includes:
calculating the maximum demand in the first prediction period according to the load prediction power in the first prediction period;
and when the maximum demand in the first prediction period is smaller than the historical maximum demand, and under the condition that the transformer power does not exceed the rated power of the transformer, taking the historical maximum demand as the maximum demand in the first prediction period.
Optionally, the calculating the charging power or the discharging power of the energy storage device in the next period according to the maximum demand in the first prediction period includes:
determining a demand coefficient of the next time period according to the power fluctuation condition of the power grid gateway of each historical time period;
Multiplying the maximum demand in the first prediction period by the demand coefficient to obtain a threshold;
and calculating the charging power or the discharging power of the energy storage device in the next period according to the threshold value.
Optionally, the determining the demand coefficient of the next period according to the power fluctuation condition of the grid gateway of each historical period includes:
when the power variance of the grid gateway of the historical period corresponding to the next period is larger than a first preset variance, determining a demand coefficient of the next period as a first coefficient;
when the power variance of the grid gateway of the historical period corresponding to the next period is smaller than a second preset variance, determining the demand coefficient of the next period as a second coefficient;
wherein the first preset variance is not less than the second preset variance, and the first coefficient is greater than the second coefficient.
Optionally, the calculating the charging power or the discharging power of the energy storage device in the next period according to the threshold value includes:
and calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation amount of the power grid gateway power and the threshold value.
Optionally, the calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation between the grid gateway power and the threshold value includes:
If the power of the power grid gateway is larger than the threshold value, calculating the discharge power of the energy storage device in the next period according to the difference value between the power of the power grid gateway and the threshold value;
and if the power of the power grid gateway is smaller than the threshold, calculating the charging power of the energy storage device in the next period according to the difference value of the threshold and the power of the power grid gateway.
Optionally, the calculating the discharge power of the energy storage device in the next period according to the difference between the grid gateway power and the threshold value includes:
and calculating the discharge power of the energy storage device in the next period according to the difference value between the current power grid gate power and the threshold value and the difference value between the predicted power grid gate power and the threshold value.
Optionally, the calculating the discharge power of the energy storage device in the next period according to the difference between the current grid gate power and the threshold value and the difference between the predicted grid gate power and the threshold value includes:
comparing the difference value between the current power grid gateway power and the threshold value, the difference value between the predicted power grid gateway power and the threshold value, the difference value between the current transformer power and the rated transformer power, and the difference value between the predicted power of the transformer and the rated transformer power in a second prediction period to obtain a maximum difference value; wherein the second prediction period is shorter than the first prediction period;
And taking the maximum difference value as the discharge power of the energy storage device in the next period.
Optionally, the calculating the charging power of the energy storage device in the next period according to the difference between the threshold and the grid gateway power includes:
and calculating the charging power of the energy storage device in the next period according to the difference value between the threshold value and the current power grid gateway power and the difference value between the threshold value and the predicted power grid gateway power.
Optionally, the calculating the charging power of the energy storage device in the next period according to the difference between the threshold and the current grid gate power and the difference between the threshold and the predicted grid gate power includes:
comparing the difference value of the threshold value and the current power grid gateway power, the difference value of the threshold value and the predicted power grid gateway power, the difference value of the rated transformer power and the current transformer power, and the difference value of the rated transformer power and the predicted power of the transformer in the second prediction period to obtain a minimum difference value; wherein the second prediction period is shorter than the first prediction period;
and taking the minimum difference value as the charging power of the energy storage device in the next period.
Optionally, the power grid gateway power includes a current power grid gateway power;
The method for calculating the current grid gateway power comprises the following steps:
acquiring current load power and current energy storage power;
when the energy storage is charged, taking the difference value between the current load power and the current energy storage power as the current grid gateway power;
and when the energy storage is discharged, taking the sum of the current load power and the current energy storage power as the current grid gateway power.
Optionally, the grid gateway power includes a predicted grid gateway power;
the calculation method for predicting the power grid gateway power comprises the following steps:
acquiring load predicted power and power generation device predicted power in a second prediction period;
and taking the difference value of the load predicted power and the power generation device predicted power in the second predicted period as the predicted grid gateway power.
Optionally, before calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation amount of the grid gateway power from the threshold value, the method further includes:
judging whether the next time period is in a peak section or not;
if the energy storage device is in the peak section, the charging power of the energy storage device is zero;
and if the energy storage device is not in the peak section, calculating the charging power of the energy storage device.
The invention also provides an energy storage regulation and control system, which comprises:
a control device and at least one energy storage device;
the energy storage device is controlled by the control device;
the control device is used for executing the energy storage regulation method.
According to the energy storage regulation and control method and the energy storage regulation and control system provided by the embodiment of the invention, according to the historical maximum demand and the load predicted power in the first prediction period, under the condition that the power of the transformer does not exceed the rated power of the transformer, the maximum demand in the first prediction period is calculated; and calculating the charging power or the discharging power of the energy storage device in the next period according to the maximum demand in the first prediction period. The invention can avoid larger errors caused by the fact that the load and the photovoltaic predicted power are utilized to predict the energy storage charging and discharging power for multiple times in the first prediction period by restricting the maximum required amount in the first prediction period, and the maximum required amount in the first prediction period is obtained under the condition that the power of the transformer does not exceed the rated power of the transformer, so that the problem of overload of the transformer in the energy storage charging and discharging process can be avoided.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an energy storage control method according to an embodiment of the present invention;
FIG. 2 is a flowchart of another energy storage control method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for minimizing maximum demand provided by an embodiment of the present invention;
fig. 4 is a flowchart of a method for calculating charge and discharge power of an energy storage device according to an embodiment of the present invention;
fig. 5 is a flowchart of a method for calculating charge and discharge power of an energy storage device according to another embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an energy storage regulation and control method, as shown in figure 1, which comprises the following steps:
step 101: and calculating the maximum demand in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer according to the historical maximum demand and the load prediction power in the first prediction period.
The demand is the average power value measured over a preset period of time (typically 15 minutes in the power industry). The historical maximum demand is the maximum demand in the past time period, and in practical application, the historical maximum demand may be the maximum demand in the month, and the past time period may be the past N hours, N days, N months, and N years, which is not limited herein.
The load in the first prediction period is predicted, and the load predicted power in the first prediction period can be obtained. The first prediction period may be one day, or may be longer or shorter than one day. The number of load prediction powers in the first prediction period may be more than one according to the time granularity, for example, the time granularity is 5 minutes, and in the case that the first prediction period is one day, the number of load prediction powers is 288, and of course, the time granularity may be 1 minute or other set values, which is not limited herein.
When the charging and discharging power of the energy storage device in the next period is predicted, the charging and discharging power of the energy storage device is determined based on the maximum required quantity in the first prediction period. The demand in the first prediction period may be determined according to the load predicted power in the first prediction period, and in order to improve the accuracy of the demand calculation in the first prediction period, the present invention is also based on the historical maximum demand, i.e. taking the historical maximum demand and the load predicted power into consideration at the same time. Since there are a plurality of demand amounts in the first period, in order to meet the demand amount requirement, a maximum demand amount may be calculated, so that the prediction of the stored energy charge/discharge power is performed by the maximum demand amount. In addition, in calculating the maximum required amount of the first prediction period, in order to avoid the problem of overload of the transformer in the process of charging and discharging the stored energy, the limitation condition is that the power of the transformer does not exceed the rated power of the transformer.
Step 102: according to the maximum demand in the first prediction period, calculating the charging power or the discharging power of the energy storage device in the next period; wherein the next period is located within the first prediction period.
In order to reduce the influence of load power prediction errors and optical power prediction errors on the energy storage charge and discharge power prediction, the method replaces the method of carrying out multiple energy storage charge and discharge power prediction by utilizing the load prediction power and the photovoltaic prediction power in the prior art by utilizing the mode of predicting the energy storage charge and discharge power by utilizing the maximum demand in the first prediction period. In the first prediction period, the charging power or the discharging power of the energy storage device in each period of the first prediction period is calculated only by one value, namely only by the maximum demand value in the first prediction period, compared with the charging power of the energy storage device in each period calculated by a plurality of prediction power values, the error of the predicted charging power and discharging power of the energy storage device is smaller, and the problem of overload of the transformer caused by lower prediction accuracy of the charging power and discharging power of the energy storage device can be avoided.
In an alternative embodiment, as shown in fig. 2, the energy storage regulation method provided by the present invention includes:
step 201: according to the historical maximum demand and the load predicted power in the first prediction period, minimizing the maximum demand in the first prediction period through energy storage regulation under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter; wherein the energy storage parameters include energy storage power and energy storage capacity.
In order to avoid the impact of large load fluctuation on a transformer and a power grid, the stability of the load can be kept by charging and discharging energy storage. In order to exert the maximum effect of energy storage, the maximum demand in the first prediction period can be minimized through energy storage regulation, the possibility of overload of the transformer can be reduced by reducing the maximum demand, and the electric charge can be saved. Accordingly, the present invention utilizes stored energy charging and discharging to minimize the maximum demand in the first prediction period.
In minimizing the maximum demand in the first prediction period, it is necessary to ensure that the transformer power does not exceed the transformer rated power, the stored energy power does not exceed the stored energy rated power, and the stored energy capacity does not exceed the stored energy rated capacity. Of course, in practical application, the transformer power may be controlled within a preset transformer power range, the energy storage power within a preset energy storage power range, and the energy storage capacity within a preset energy storage capacity range.
Step 202: according to the maximum demand in the first prediction period, calculating the charging power or the discharging power of the energy storage device in the next period; wherein the next period is located within the first prediction period.
This step 202 is similar to step 102 shown in fig. 1 and will not be described again.
As an alternative embodiment, as shown in fig. 3, according to the historical maximum demand and the load predicted power in the first prediction period, minimizing the maximum demand in the first prediction period through energy storage adjustment under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter, includes:
step 301: and calculating the demand in the first prediction period according to the load prediction power in the first prediction period.
The load predicted power in the first prediction period may be the load predicted power at each time in the first prediction period, the load predicted powers at a plurality of times in the demand period may be obtained, and the average value of the load predicted powers may be obtained to obtain the demand value. If the first prediction period includes a plurality of demand periods, a plurality of demand values can be obtained.
In the energy storage control area, for example, only electrical equipment can be provided in the park, and the electrical equipment can be used as load and can comprise experimental equipment. When only loads exist in the park, the demand in the first prediction period can be calculated according to the load prediction power, namely the prediction power of various loads can be overlapped at corresponding moments in the demand period to obtain the total prediction power of the loads, and the average value of the total prediction power of the loads is obtained to obtain the demand in the first prediction period.
Optionally, calculating the demand in the first prediction period according to the load predicted power in the first prediction period includes:
acquiring load predicted power and power generation equipment predicted power at each moment in a first prediction period;
calculating a power difference value of the corresponding moment of the load predicted power and the power generation equipment predicted power;
and obtaining the demand in the first prediction period according to the power difference value.
When there is a load in the park as well as a power generation device, the power generation device may be a photovoltaic power generation device, a wind power generation device, a hydrogen energy power generation device, or the like. For convenience of description, the invention uses power generation equipment as a photovoltaic power generation device as an example, and describes an energy storage regulation method.
And predicting the load power to obtain the load predicted power at each moment in the first prediction period. The optical power is predicted, and the optical predicted power at each moment in the first prediction period can be obtained. If the load includes experimental equipment, experimental power of the experimental equipment in the first prediction period may be obtained.
And (3) subtracting the load predicted power and the power generating equipment predicted power at the corresponding moment to obtain the power grid gateway table data, wherein the power grid gateway table data is the power of the grid connection point. If the power difference values at a plurality of moments are included in the demand period, an average value of the power difference values in the demand period may be used as the demand in the first prediction period. If there is only one power difference at a moment in the demand period, the power difference at the moment is taken as the demand in the first prediction period. When the length of the demand period is smaller than that of the first prediction period, the first prediction period has a plurality of demand values.
Step 302: and if the required quantity in the first prediction period is not less than the historical maximum required quantity, minimizing the maximum required quantity in the first prediction period through energy storage regulation under the condition that the power of the transformer does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter.
When the first prediction period is provided with a plurality of demand values, if any demand value of the plurality of demand values is larger than or equal to the historical maximum demand value, the demand value larger than the historical maximum demand value can be reduced through energy storage adjustment, so that the possibility of overload of the transformer is reduced, and the electricity fee can be saved.
When the maximum demand in the first prediction period is minimized, the transformer power is not more than the rated power of the transformer, the energy storage power is not more than the rated power of the energy storage, the energy storage capacity is not more than the rated capacity of the energy storage, the demand reduction is taken as a target, a corresponding data model is established, the method is used for solving to obtain the adjustable minimum demand, namely the maximum demand in the first prediction period after the minimization, and the maximum demand in the first prediction period after the minimization is the minimum reachable value of the demand of the whole park after the energy storage regulation and control through a certain capacity. . The power of the transformer is the power of the upper layer transformer of the loop where the energy storage is located, and the optimization algorithm can be an operation optimization algorithm.
When the maximum demand in the first prediction period is minimized, the historical maximum demand is considered, and the demand which can be adjusted under the maximum action of energy storage in the future is considered, so that the minimized maximum demand in the first prediction period can be used as global optimization.
As an alternative embodiment, calculating the maximum demand in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer based on the historical maximum demand and the load predicted power in the first prediction period includes:
calculating the maximum demand in the first prediction period according to the load prediction power in the first prediction period;
and when the maximum demand in the first prediction period is smaller than the historical maximum demand, and under the condition that the transformer power does not exceed the rated power of the transformer, taking the historical maximum demand as the maximum demand in the first prediction period.
When the maximum demand in the first prediction period is smaller than the historical maximum demand, the historical maximum demand can be used as the maximum demand in the first prediction period, and the energy storage charging and discharging power is restrained by the historical maximum demand at the moment, so that overload of the transformer caused by load fluctuation in the first prediction period can be avoided. Of course, when the historical maximum demand is taken as the maximum demand in the first prediction period, the constraint condition to be met is that the transformer power does not exceed the rated power of the transformer, the constraint condition to be met is that the energy storage power does not exceed the rated power of the energy storage, and the energy storage capacity does not exceed the rated capacity of the energy storage, and under the condition that the constraint conditions are met, the charging power or the discharging power of the energy storage device in the next period can be calculated according to the historical maximum demand.
In this embodiment, the method for calculating the maximum demand in the first prediction period may be described above, and will not be described herein.
In an alternative embodiment, as shown in fig. 4, calculating the charge power or the discharge power of the energy storage device in the next period according to the maximum demand in the first prediction period includes:
step 401: and determining a demand coefficient of the next time period according to the power fluctuation condition of the grid gateway of each historical time period.
The power grid gate power is the difference between the load and the optical power, and the power grid gate power in each history period can be the power grid gate power of a plurality of hours before the current moment.
When the power fluctuation of the power grid gateway is large, the fact that the power fluctuation of the load or the photovoltaic power generation device is large is indicated, at the moment, the demand coefficient of the next time period can be set smaller, and impact on a transformer or a power grid due to the randomness of the load or the photovoltaic power generation device is avoided.
When the power fluctuation of the power grid gateway is smaller, the power fluctuation of the load or the photovoltaic power generation device is smaller, the possibility of impact on the transformer or the power grid is smaller because of small load or photovoltaic change, and the demand coefficient of the next time period can be set larger and larger than the demand coefficient set when the power fluctuation of the power grid gateway is larger.
The demand coefficient can be used as a safety coefficient for charging and discharging energy storage. For the condition of large power fluctuation of the grid gateway, a smaller charging safety coefficient can be selected in the valley time, and a smaller discharging coefficient can be selected in the peak time. For the condition of small power fluctuation of the grid gateway, a larger charging safety coefficient can be selected in the valley time, and a larger discharging coefficient can be selected in the peak time.
Optionally, determining the demand coefficient of the next period according to the power fluctuation condition of the grid gateway of each historical period includes:
when the power variance of the grid gateway of the historical period corresponding to the next period is larger than a first preset variance, determining a demand coefficient of the next period as a first coefficient;
when the power variance of the grid gateway of the historical period corresponding to the next period is smaller than a second preset variance, determining a demand coefficient of the next period as a second coefficient;
the first preset variance is not smaller than the second preset variance, and the first coefficient is larger than the second coefficient.
The power grid gateway power fluctuation condition can be reflected through the power grid gateway power variance, if the power grid gateway power variance is larger, the power grid gateway power fluctuation is larger, and if the power grid gateway power variance is smaller, the power grid gateway power fluctuation is smaller.
In practical application, the power grid gateway power fluctuation condition can be reflected by comparing the power grid gateway power variance with a variance threshold. Specifically, when the power grid gateway power variance is larger than a first preset variance, it can be determined that the power grid gateway power fluctuation is larger, and when the power grid gateway power fluctuation is larger, in order to avoid impact of load fluctuation on a transformer and a power grid in a first prediction period, a demand coefficient of a next period can be determined to be a first coefficient. And when the power variance of the power grid gateway is smaller than the second preset variance, the power grid gateway is determined to have smaller fluctuation, and when the power grid gateway is smaller in fluctuation, the possibility of impact to the transformer and the power grid due to load fluctuation is low, and the demand coefficient of the next time period can be determined to be a second coefficient. Wherein the first coefficient is greater than the second coefficient and the first predetermined variance is greater than or equal to the second predetermined variance.
Optionally, the values of the first coefficient and the second coefficient are smaller than 1, the value range of the first coefficient can be 0.6-0.8, and the value range of the second coefficient can be 0.8-0.95.
Step 402: and multiplying the maximum demand in the first prediction period by a demand coefficient to obtain a threshold value.
The demand coefficient calculated in step 401 may adjust a maximum demand in the first prediction period, which may be the minimum maximum demand in the first prediction period after the minimization. According to the power grid gateway power fluctuation condition of each hour, different demand coefficients can be obtained, and different thresholds can be obtained after the different demand coefficients are multiplied by the maximum demand in the minimized first prediction period. The threshold is used for restraining the energy storage charging and discharging power, so that the influence of abrupt change of load power or optical power on a transformer and a power grid can be prevented, and the stability, the safety and the reliability of the system can be improved.
When the power fluctuation of the power grid gateway is large, the demand coefficient is small, the threshold value obtained by multiplying the maximum demand and the demand coefficient is also small, and the occurrence probability of the overload problem of the transformer can be reduced by restraining the energy storage charging and discharging power by using the small threshold value. When the power fluctuation of the power grid gateway is smaller, the demand coefficient is larger, the threshold value obtained by multiplying the maximum demand by the demand coefficient is also larger, the load is stable, and the energy storage device can be maximally utilized under the condition that the possibility of impact of the load fluctuation to the transformer and the power grid is low, so that the energy storage efficiency is improved.
Step 403: and calculating the charging power or the discharging power of the energy storage device in the next period according to the threshold value.
Optionally, calculating the charging power or the discharging power of the energy storage device in the next period according to the threshold value includes:
and calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation amount of the power grid gateway power and the threshold value.
The grid gateway power includes a current grid gateway power and/or a predicted grid gateway power.
The charging power or the discharging power of the energy storage device in the next period can be calculated according to the deviation amount of the current power grid gate power and the threshold value, the charging power or the discharging power of the energy storage device in the next period can be calculated according to the deviation amount of the predicted power grid gate power and the threshold value, and the charging power or the discharging power of the energy storage device in the next period can be calculated according to the deviation amount of the current power grid gate power and the threshold value and the deviation amount of the predicted power grid gate power and the threshold value.
If the charging power or the discharging power of the energy storage device in the next period is calculated only according to the deviation amount of the current power grid gate power and the threshold value, and the predicted power grid gate power is not considered, the load power or the light power in the next period can be greatly fluctuated, the calculated charging power or discharging power is poor in accuracy, and the transformer or the power grid is easily impacted. If the charging power or the discharging power of the energy storage device in the next period is calculated only according to the deviation amount of the predicted grid gate power and the threshold value, and the current grid gate power is not considered, the calculated energy storage charging and discharging power is affected by the error of the predicted grid gate power, and the accuracy is poor. Therefore, the invention can calculate the charging power or the discharging power of the energy storage device in the next period according to the deviation amount of the current power grid gateway power and the threshold value and the deviation amount of the predicted power grid gateway power and the threshold value, can ensure the accuracy of controlling the power grid gateway power and the power of the transformer, ensures that the power grid gateway works under safe power, improves the prediction accuracy of the energy storage power, and is beneficial to avoiding impact on the power grid and the transformer.
Optionally, the current power grid gateway power calculation method includes:
acquiring current load power and current energy storage power;
when the energy storage is charged, taking the difference value between the current load power and the current energy storage power as the current grid gateway power;
and when the energy storage is discharged, taking the sum of the current load power and the current energy storage power as the current grid gateway power.
Optionally, the calculation method for predicting the power of the grid gateway includes:
acquiring load predicted power and power generation device predicted power in a second prediction period;
and taking the difference value between the load predicted power and the power predicted power of the power generation device in the second prediction period as the predicted grid gateway power.
The second prediction period has a length shorter than that of the first prediction period, and the accuracy of the load predicted power in the second prediction period is higher than that in the first prediction period. According to the method, the difference value of the load predicted power and the power generation device predicted power in the second predicted period with higher prediction precision is used as the predicted grid gate power, and the energy storage charging and discharging power is constrained by the minimum maximum demand in the first predicted period according to the predicted grid gate power and the current grid gate power, so that the calculated charging and discharging power precision of the energy storage device in the next period is higher.
As an alternative embodiment, as shown in fig. 5, calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation between the grid gateway power and the threshold value includes:
step 501: if the power of the power grid gateway is larger than the threshold value, calculating the discharge power of the energy storage device in the next period according to the difference value of the power grid gateway power and the threshold value.
When the power of the power grid gateway is larger than the threshold value, the energy storage device is required to discharge, and the discharge power of the energy storage device can be obtained through calculation of the difference value between the power grid gateway and the threshold value.
Optionally, calculating the discharge power of the energy storage device in the next period according to the difference value between the power of the grid gateway and the threshold value includes:
and calculating the discharge power of the energy storage device in the next period according to the difference value between the current power grid gate power and the threshold value and the difference value between the predicted power grid gate power and the threshold value.
Under the condition that the power grid gateway power comprises the current power grid gateway power and the predicted power grid gateway power, respectively calculating the difference value between the current power grid gateway power and the threshold value and the difference value between the predicted power grid gateway power and the threshold value, and then calculating the discharge power of the energy storage device in the next period according to the two difference values.
In order to ensure that the transformer power is less than the rated power of the transformer, the difference between the transformer power and the rated transformer power is also taken into account when calculating the discharge power of the energy storage device in the next period. And the transformer power includes the current transformer power and the predicted transformer power for the second prediction period. The current transformer power is the upper layer transformer power of the loop where the energy storage device is located at the current moment.
Optionally, calculating the discharge power of the energy storage device in the next period according to the difference between the current grid gate power and the threshold value and the difference between the predicted grid gate power and the threshold value includes:
comparing the difference value between the current power grid gate power and the threshold value, the difference value between the predicted power grid gate power and the threshold value, the difference value between the current transformer power and the rated transformer power and the difference value between the predicted power of the transformer and the rated transformer power in the second prediction period to obtain the maximum difference value; wherein the second prediction period is shorter than the first prediction period; and taking the maximum difference value as the discharge power of the energy storage device in the next period.
In order to reduce the probability of overload of the transformer during the discharging of the stored energy, the maximum difference value is selected from the four difference values, and the maximum difference value is taken as the discharging power of the energy storage device in the next period. Of course, the determined discharge power of the energy storage device in the next period of time also needs to satisfy that the discharge power is smaller than the rated power of the energy storage.
Step 502: if the power of the power grid gateway is smaller than the threshold value, calculating the charging power of the energy storage device in the next period according to the difference value between the threshold value and the power grid gateway.
When the power of the power grid gateway is smaller than the threshold value, the energy storage device is required to be charged, and the charging power of the energy storage device can be obtained through calculation of the difference value between the threshold value and the power grid gateway.
Optionally, calculating the charging power of the energy storage device in the next period according to the difference value between the threshold and the grid gateway power includes:
and calculating the charging power of the energy storage device in the next period according to the difference value between the threshold value and the current grid gate power and the difference value between the threshold value and the predicted grid gate power.
Under the condition that the power grid gateway power comprises the current power grid gateway power and the predicted power grid gateway power, calculating the difference value between the threshold value and the current power grid gateway power and the difference value between the threshold value and the predicted power grid gateway power respectively, and then calculating the charging power of the energy storage device in the next period according to the two difference values.
In order to ensure that the transformer power is less than the rated power of the transformer, the difference between the rated transformer power and the transformer power is also taken into account when calculating the charging power of the energy storage device in the next period. And the transformer power includes the current transformer power and the predicted transformer power for the second prediction period. The current transformer power is the upper layer transformer power of the loop where the energy storage device is located at the current moment.
Optionally, calculating the charging power of the energy storage device in the next period according to the difference between the threshold and the current grid gate power and the difference between the threshold and the predicted grid gate power includes:
comparing the difference value of the threshold value and the current power grid gateway power, the difference value of the threshold value and the predicted power grid gateway power, the difference value of the rated transformer power and the current transformer power and the difference value of the rated transformer power and the predicted power of the transformer in the second prediction period to obtain a minimum difference value; wherein the second prediction period is shorter than the first prediction period; and taking the minimum difference value as the charging power of the energy storage device in the next period.
In order to reduce the probability of overload of the transformer during the energy storage charging, a minimum difference value is selected from the four difference values, and the minimum difference value is taken as the charging power of the energy storage device in the next period. Of course, the determined charging power of the energy storage device in the next period of time also needs to satisfy that the charging power is smaller than the rated power of the energy storage.
As an optional implementation manner, before calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation between the grid gateway power and the threshold value, the energy storage regulation method provided by the invention further includes:
Judging whether the next time period is in a peak section or not;
if the energy storage device is in the peak section, the charging power of the energy storage device is zero;
if the energy storage device is not in the peak section, the charging power of the energy storage device is calculated.
In consideration of the requirement of large electricity consumption at the peak section, the energy storage device is not charged at the peak section, and the problem that the overload of the transformer is easily caused because the charged energy storage device is used as a load to increase the power of the gateway of the power grid is avoided. The charging power of the energy storage device can be calculated in the valley Duan Huo flat section, that is, the charging power or the discharging power of the energy storage device in the next period can be calculated according to the deviation between the power grid gateway power and the threshold value in the valley section and the flat section. And the energy storage device can be used for discharging in peak sections, flat sections and valley sections, namely the discharging power of the energy storage device in the next time period can be calculated according to the deviation amount of the power grid gateway power and the threshold value in any time period. The calculation of the charge and discharge power of the energy storage device is described above, and will not be described in detail herein.
The invention also provides an energy storage regulation and control system, which comprises:
a control device and at least one energy storage device.
The energy storage device is controlled by the control device.
The control device is used for executing the energy storage regulation method.
This energy storage regulation and control system still includes:
a power generation device.
The power generation device can be one or more of a photovoltaic power generation device, a wind power generation device and a hydrogen energy power generation device.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
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 (17)
1. An energy storage regulation method, characterized by comprising:
calculating the maximum demand in the first prediction period under the condition that the power of the transformer does not exceed the rated power of the transformer according to the historical maximum demand and the load prediction power in the first prediction period;
according to the maximum demand in the first prediction period, calculating the charging power or the discharging power of the energy storage device in the next period; wherein the next period of time is within the first prediction period.
2. The energy storage control method according to claim 1, wherein calculating the maximum demand in the first prediction period on the basis of the historical maximum demand and the load predicted power in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer includes:
according to the historical maximum demand and the load predicted power in the first prediction period, minimizing the maximum demand in the first prediction period through energy storage regulation under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter; wherein the energy storage parameters include energy storage power and energy storage capacity.
3. The energy storage regulation method of claim 2, wherein the minimizing the maximum demand in the first prediction period by energy storage regulation on the condition that the transformer power does not exceed the transformer rated power and the energy storage parameter does not exceed the rated energy storage parameter according to the historical maximum demand and the load prediction power in the first prediction period comprises:
Calculating the demand in the first prediction period according to the load prediction power in the first prediction period;
and if the required amount in the first prediction period is not less than the historical maximum required amount, minimizing the maximum required amount in the first prediction period through energy storage adjustment under the condition that the transformer power does not exceed the rated power of the transformer and the energy storage parameter does not exceed the rated energy storage parameter.
4. The energy storage control method according to claim 3, wherein calculating the demand in the first prediction period from the load predicted power in the first prediction period includes:
acquiring load predicted power and power generation equipment predicted power at each moment in the first prediction period;
calculating a power difference value of the moment corresponding to the load predicted power and the power generation equipment predicted power;
and obtaining the demand in the first prediction period according to the power difference value.
5. The energy storage control method according to claim 1, wherein calculating the maximum demand in the first prediction period on the basis of the historical maximum demand and the load predicted power in the first prediction period under the condition that the transformer power does not exceed the rated power of the transformer includes:
Calculating the maximum demand in the first prediction period according to the load prediction power in the first prediction period;
and when the maximum demand in the first prediction period is smaller than the historical maximum demand, and under the condition that the transformer power does not exceed the rated power of the transformer, taking the historical maximum demand as the maximum demand in the first prediction period.
6. The energy storage control method according to any one of claims 1 to 5, wherein calculating the charge power or the discharge power of the energy storage device in the next period according to the maximum demand in the first prediction period includes:
determining a demand coefficient of the next time period according to the power fluctuation condition of the power grid gateway of each historical time period;
multiplying the maximum demand in the first prediction period by the demand coefficient to obtain a threshold;
and calculating the charging power or the discharging power of the energy storage device in the next period according to the threshold value.
7. The energy storage regulation method of claim 6, wherein the determining the demand coefficient of the next period according to the power fluctuation condition of the grid gateway of each historical period comprises:
when the power variance of the grid gateway of the historical period corresponding to the next period is larger than a first preset variance, determining a demand coefficient of the next period as a first coefficient;
When the power variance of the grid gateway of the historical period corresponding to the next period is smaller than a second preset variance, determining the demand coefficient of the next period as a second coefficient;
wherein the first preset variance is not less than the second preset variance, and the first coefficient is greater than the second coefficient.
8. The energy storage control method according to claim 6, wherein calculating the charge power or the discharge power of the energy storage device in the next period according to the threshold value includes:
and calculating the charging power or the discharging power of the energy storage device in the next period according to the deviation amount of the power grid gateway power and the threshold value.
9. The energy storage control method according to claim 8, wherein calculating the charge power or the discharge power of the energy storage device in the next period according to the deviation amount of the grid gateway power from the threshold value includes:
if the power of the power grid gateway is larger than the threshold value, calculating the discharge power of the energy storage device in the next period according to the difference value between the power of the power grid gateway and the threshold value;
and if the power of the power grid gateway is smaller than the threshold, calculating the charging power of the energy storage device in the next period according to the difference value of the threshold and the power of the power grid gateway.
10. The energy storage control method according to claim 9, wherein calculating the discharge power of the energy storage device in the next period according to the difference between the grid gateway power and the threshold value comprises:
and calculating the discharge power of the energy storage device in the next period according to the difference value between the current power grid gate power and the threshold value and the difference value between the predicted power grid gate power and the threshold value.
11. The energy storage control method according to claim 10, wherein calculating the discharge power of the energy storage device in the next period according to the difference between the current grid gate power and the threshold value and the difference between the predicted grid gate power and the threshold value comprises:
comparing the difference value between the current power grid gateway power and the threshold value, the difference value between the predicted power grid gateway power and the threshold value, the difference value between the current transformer power and the rated transformer power, and the difference value between the predicted power of the transformer and the rated transformer power in a second prediction period to obtain a maximum difference value; wherein the second prediction period is shorter than the first prediction period;
and taking the maximum difference value as the discharge power of the energy storage device in the next period.
12. The energy storage regulation method of claim 9, wherein calculating the charging power of the energy storage device in the next period according to the difference between the threshold and the grid gateway power comprises:
and calculating the charging power of the energy storage device in the next period according to the difference value between the threshold value and the current power grid gateway power and the difference value between the threshold value and the predicted power grid gateway power.
13. The energy storage regulation method of claim 12, wherein calculating the charging power of the energy storage device in the next period according to the difference between the threshold and the current grid gate power and the difference between the threshold and the predicted grid gate power comprises:
comparing the difference value of the threshold value and the current power grid gateway power, the difference value of the threshold value and the predicted power grid gateway power, the difference value of the rated transformer power and the current transformer power, and the difference value of the rated transformer power and the predicted power of the transformer in the second prediction period to obtain a minimum difference value; wherein the second prediction period is shorter than the first prediction period;
and taking the minimum difference value as the charging power of the energy storage device in the next period.
14. The energy storage regulation method of claim 8, wherein the grid gate power comprises a current grid gate power;
the method for calculating the current grid gateway power comprises the following steps:
acquiring current load power and current energy storage power;
when the energy storage is charged, taking the difference value between the current load power and the current energy storage power as the current grid gateway power;
and when the energy storage is discharged, taking the sum of the current load power and the current energy storage power as the current grid gateway power.
15. The energy storage regulation method of claim 8, wherein the grid gate power comprises predicting grid gate power;
the calculation method for predicting the power grid gateway power comprises the following steps:
acquiring load predicted power and power generation device predicted power in a second prediction period;
and taking the difference value of the load predicted power and the power generation device predicted power in the second predicted period as the predicted grid gateway power.
16. The energy storage regulation method of claim 9, wherein prior to calculating the charge power or the discharge power of the energy storage device for the next period of time from the deviation amount of the grid gate power from the threshold value, the method further comprises:
Judging whether the next time period is in a peak section or not;
if the energy storage device is in the peak section, the charging power of the energy storage device is zero;
and if the energy storage device is not in the peak section, calculating the charging power of the energy storage device.
17. An energy storage regulation system, comprising:
a control device and at least one energy storage device;
the energy storage device is controlled by the control device;
the control device is used for executing the energy storage regulation method according to any one of claims 1 to 16.
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| CN117424269B (en) * | 2023-12-19 | 2024-04-05 | 广州汇电云联数科能源有限公司 | Control method, device, terminal and medium for charging power of energy storage converter |
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