Energy storage control method, device and microgrid

Abstract

This invention discloses an energy storage control method, device, and microgrid. The energy storage control method includes: acquiring load data, electricity price sequences, and energy storage data; wherein the electricity price sequence includes set time periods for at least two electricity price tiers; predicting load electricity consumption according to the set time periods based on the load data to obtain an electricity consumption sequence; and calculating an economic target based on the electricity consumption sequence, electricity price sequence, and energy storage data; specifically, during the set time periods for low electricity price tiers, combining the energy storage data and electricity consumption sequence, determining that energy storage charging will be performed during the lowest electricity price period, and determining the charging power; during the set time periods for high electricity price tiers, combining the energy storage data and electricity consumption sequence, determining that energy storage discharging will be performed during the highest electricity price period, and determining the discharging power. The technical solution of this invention comprehensively considers the impact of electricity prices when predicting microgrid load, effectively reducing the electricity cost of the microgrid and contributing to increased economic benefits.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of power system technology, and in particular to an energy storage control method, device and microgrid. Background Technology

[0002] With the large-scale development of new energy sources, the combination and complementarity of multiple new energy sources, including energy storage systems, is an inevitable trend. In microgrids, energy storage control is the most critical link; the planned power output of the energy storage system affects the microgrid's electricity costs and whether it can achieve better economic benefits. However, current load forecasting applications do not consider the impact of electricity prices, or do not combine load and electricity price considerations, leading to increased electricity costs. Summary of the Invention

[0003] This invention provides an energy storage control method, device, and microgrid to rationally arrange planned energy storage power, effectively reduce the electricity cost of the microgrid, and improve economic efficiency.

[0004] According to one aspect of the present invention, an energy storage control method is provided, the energy storage control method comprising:

[0005] Acquire historical load data, electricity price series, and energy storage data; wherein, the electricity price series includes a set time period for at least two electricity price tiers;

[0006] Based on historical load data, the electricity consumption is predicted according to a set time period to obtain an electricity consumption sequence; wherein the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence.

[0007] Economic targets are calculated based on power generation sequence, electricity price sequence, and energy storage data. Specifically, during a set time period in the low electricity price tier, energy storage charging is determined in conjunction with energy storage data and power generation sequence, along with the charging power. During a set time period in the high electricity price tier, energy storage discharging is determined in conjunction with energy storage data and power generation sequence, along with the discharging power.

[0008] Optionally, the calculation method for energy storage charging during a set time period in a low electricity price tier includes:

[0009] Based on the energy sequence, the maximum safe charging power curve of energy storage is obtained, and the energy storage charging energy sequence is calculated.

[0010] The time periods for the low electricity price tiers are sorted from lowest to highest electricity price, and the corresponding electricity prediction sequence is obtained by combining the energy storage charging power sequence.

[0011] Based on the power prediction sequence, the number of time periods for charging is determined with the energy storage being fully charged as the charging cutoff condition.

[0012] Optionally, the energy storage control method further includes: for the set time period of low electricity price level, not charging and not discharging during other set time periods except for the set time period for which charging is determined.

[0013] Optionally, the calculation method for energy storage discharge during a set time period in the high electricity price tier includes:

[0014] The time periods for high electricity price tiers are sorted from highest to lowest price to obtain the energy storage discharge sequence;

[0015] Calculate the amount of energy discharged within each set time period in the energy storage discharge sequence;

[0016] Based on the energy storage discharge amount within a set time period, and using the current available energy storage capacity as the discharge cutoff condition, the number of set time periods for discharge is determined.

[0017] Optionally, after determining the number of set time periods for discharging, the method further includes:

[0018] The energy storage discharge power is determined based on the amount of energy stored during a set time period, and the energy storage discharge power is a constant value during the set time period.

[0019] Optionally, the energy storage control method further includes: for the set time period of high electricity price tier, not charging and not discharging during other set time periods except for the set time period for which discharge is determined.

[0020] Optionally, the energy storage control method further includes: a set time period for the medium electricity price tier, which is between the low electricity price tier and the high electricity price tier;

[0021] The calculation of economic targets based on electricity volume series, electricity price series, and energy storage data also includes:

[0022] Within the set time period of the medium electricity price tier, based on the electricity consumption sequence and the electricity price sequence, the electricity consumption of the set time period of the high electricity price tier is predicted to obtain the predicted electricity consumption of the high electricity price tier.

[0023] If the predicted electricity consumption under the high electricity price exceeds the current energy storage capacity, then in the set time period of the medium electricity price tier, the energy storage will be charged according to the electricity price from low to high, and the set time period with the lowest electricity price will be selected until the energy storage capacity reaches the predicted electricity consumption under the high electricity price.

[0024] If the predicted electricity consumption under the high electricity price is less than or equal to the current energy storage capacity, then the system will not charge or discharge during the set time period under the medium electricity price tier.

[0025] Optionally, the energy storage control method further includes:

[0026] According to the electricity price sequence, if there is no set time period for the high electricity price tier within the forecast period, the control method for the set time period of the medium electricity price tier will be adjusted to the control method for the set time period of the high electricity price tier.

[0027] Optionally, the energy storage control method further includes:

[0028] If there is a discrepancy between the set time period of the electricity consumption sequence and the set time period of the electricity price sequence, then the cost of the load electricity consumption within the set time period is calculated based on the electricity price sequence to obtain the average electricity price within the set time period.

[0029] Optionally, methods for predicting load electricity consumption include:

[0030] The first prediction model is used to predict the total load electricity consumption for all set time periods based on historical load data;

[0031] The second prediction model is adopted, which uses the total load power consumption as the boundary input and predicts the load power consumption according to the set time period.

[0032] The prediction methods of the first prediction model and the second prediction model may be the same or different.

[0033] According to another aspect of the present invention, an energy storage control device is provided, the energy storage control device comprising:

[0034] The data acquisition module is used to acquire historical load data, electricity price series, and energy storage data; wherein, the electricity price series includes a set time period for at least two electricity price tiers;

[0035] The electricity consumption sequence calculation module is used to predict the electricity consumption of the load according to a set time period based on historical load data, and obtain the electricity consumption sequence; wherein, the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence.

[0036] The energy storage control and calculation module is used to calculate the economic targets based on the power generation sequence, electricity price sequence, and energy storage data. Specifically, during a set time period in the low electricity price tier, it combines energy storage data and power generation sequence to determine when to charge the energy storage during the lowest electricity price period and to determine the charging power. During a set time period in the high electricity price tier, it combines energy storage data and power generation sequence to determine when to discharge the energy storage during the highest electricity price period and to determine the discharge power.

[0037] According to another aspect of the present invention, a microgrid is also provided, comprising: a load system, an energy storage system, and a control system; the control system performs the energy storage control method as described in any one of the first aspects.

[0038] The technical solution of this invention acquires historical load data, electricity price sequences, and energy storage data; based on the historical load data, it predicts the load electricity consumption according to a set time period to obtain an electricity consumption sequence; and based on the electricity consumption sequence, electricity price sequence, and energy storage data, it performs economic target calculations. Specifically, in a set time period at a low electricity price level, combined with energy storage data and the electricity consumption sequence, it determines whether to charge the energy storage during the lowest electricity price period and determines the charging power; in a set time period at a high electricity price level, combined with energy storage data and the electricity consumption sequence, it determines whether to discharge the energy storage during the highest electricity price period and determines the discharge power. Through the energy storage control method provided by this invention, the impact of electricity prices can be comprehensively considered when predicting microgrid load to obtain a suitable planned energy storage power, effectively reducing the electricity cost of the microgrid and improving economic efficiency.

[0039] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a schematic diagram of the electrical structure of a microgrid according to an embodiment of the present invention;

[0042] Figure 2 This is a flowchart of an energy storage control method provided according to an embodiment of the present invention;

[0043] Figure 3 This is a flowchart of the calculation method for charging energy storage during low electricity price periods in step S130 of an energy storage control method provided according to an embodiment of the present invention.

[0044] Figure 4 This is a flowchart of the calculation method for energy storage discharge during high electricity price periods in step S130 of an energy storage control method provided according to an embodiment of the present invention;

[0045] Figure 5 This is a flowchart of the method for calculating the economic target at the medium electricity price level in step S130 of an energy storage control method provided according to an embodiment of the present invention;

[0046] Figure 6 This is a schematic diagram of the structure of an energy storage control device according to an embodiment of the present invention. Detailed Implementation

[0047] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0048] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0049] This invention provides an energy storage control method, device, and microgrid. To facilitate understanding of the energy storage control method provided by this invention, the electrical structure of the microgrid using this energy storage control method will first be described.

[0050] Figure 1 This is a schematic diagram of the electrical structure of a microgrid provided in an embodiment of the present invention. Figure 1 As shown, the microgrid includes a load system 10, an energy storage system 20, and a control system 30. The control system 30 is used to execute the energy storage control method provided in any embodiment of the present invention, which will be explained in subsequent embodiments.

[0051] For example, transformer 41 is connected to bus 50 of the power grid, and a point of common coupling (PCC) 421 is provided on transformer 41 and bus 50. The load system 10 of the microgrid includes electrical appliances ( Figure 1 (Not shown in the image) Photovoltaic system 43 and other distributed energy systems 44. A photovoltaic point 422 is provided between transformer 41 and photovoltaic system 43, and an energy storage point 423 is provided between transformer 41 and energy storage system 20. For example, other distributed energy systems 44 may include wind power systems, etc.

[0052] Communication lines 51 connect the control system 30 to the photovoltaic point 422, the photovoltaic system 43, other distributed energy systems 44, the energy storage point 432, and the energy storage system 20. The control system 30 can output control signals to the photovoltaic point 422, the photovoltaic system 43, other distributed energy systems 44, the energy storage point 432, and the energy storage system 20 through the communication lines 51, and the control system 30 can also collect relevant data through the communication lines 51.

[0053] The common connection point 421, photovoltaic point 422 and energy storage point 423 are all equipped with metering devices, such as electricity meters, which are used to measure the corresponding load data of the connected equipment.

[0054] The control system 30 in this microgrid structure is used to execute an energy storage control method. By executing this method, the electricity cost of the microgrid can be effectively reduced, achieving better economic benefits. The following embodiments will specifically illustrate the energy storage control method executed by the control system 30.

[0055] This invention provides an energy storage control method. Figure 2 This is a flowchart of an energy storage control method provided in an embodiment of the present invention. Figure 2 As shown, the energy storage control method includes:

[0056] S110. Obtain historical load data, electricity price series, and energy storage data; wherein, the electricity price series includes a set time period for at least two electricity price tiers.

[0057] Specifically, historical load data represents load data within a historical period. For example, historical load data may include load data from the previous month, the previous six months, or the previous year, without any limitation. All load systems other than energy storage systems can include: photovoltaic systems, wind power systems, and electrical equipment, etc. Photovoltaic and wind power systems generate electricity, and load data represents the electrical energy required. The data for charging and discharging the energy storage system is obtained by calculating the difference between the load data and the power generation data of the photovoltaic and wind power systems, as well as the power supply data from the bus. When the difference between the load data and the power generation data of the photovoltaic and wind power systems, as well as the power supply data from the bus, is positive, the energy storage system needs to discharge; when the difference is negative, the energy storage system needs to charge.

[0058] An electricity price sequence is a series of consecutive electricity prices over a future time period. This future time period must include at least two time periods with different price tiers. For example, a future electricity price sequence may include a low price tier and a medium price tier, or it may include a low price tier and a high price tier, or it may include a low price tier, a medium price tier, and a high price tier.

[0059] S120. Based on historical load data, predict the load electricity consumption according to a set time period to obtain the electricity consumption sequence; wherein, the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence.

[0060] Specifically, at the current moment, the electricity consumption for the future time period is predicted based on historical load data. For example, the future time period can be set to the next 24 hours. The current moment can be set to XX o'clock in the evening. Predicting the electricity consumption for the next 24 hours, i.e., the next day, facilitates the rational arrangement of energy storage plan power for the next day. The future time period is divided into multiple set time periods according to a certain time interval, i.e., the future time period can be divided into multiple set time periods X_1, X_2, ..., X_k. These set time periods can be of equal or unequal intervals. For example, if the set time periods are of equal intervals, the time interval can be set to 15 minutes, without limitation; that is, the duration of each set time period X_1, X_2, ..., X_k is 15 minutes. Alternatively, if the set time periods are of unequal intervals, each set time period can be set to 10 minutes, 15 minutes, and / or 20 minutes, without limitation on the duration of each set time period. Furthermore, among the multiple set time periods divided from the predicted electricity consumption sequence, at least two set time periods for different electricity price tiers are included. The set time period of the electricity consumption sequence is the same as the set time period of the electricity price sequence, and the set time periods in the electricity consumption sequence correspond one-to-one with the set time periods in the electricity price sequence, so as to facilitate the calculation of electricity costs for each set time period.

[0061] S130. Calculate the economic targets based on the power generation sequence, electricity price sequence, and energy storage data. Specifically, in the set time period of the low electricity price tier, combine the energy storage data and power generation sequence to determine that energy storage charging will be carried out during the lowest electricity price period, and determine the charging power. In the set time period of the high electricity price tier, combine the energy storage data and power generation sequence to determine that energy storage discharging will be carried out during the highest electricity price period, and determine the discharging power.

[0062] For example, the planned power of the energy storage system is calculated by comprehensively considering the electricity consumption sequence, electricity price sequence, and energy storage data. During designated time periods in the low electricity price tier, the energy storage system is primarily charged. The lowest electricity price period in the low price tier and the charging power of the energy storage system are calculated and determined to minimize the electricity cost of charging the energy storage system. During designated time periods in the high electricity price tier, the energy storage system is primarily discharged. The highest electricity price period in the high price tier and the discharging power of the energy storage system are calculated and determined to maximize economic benefits, thereby achieving better economic efficiency for the microgrid system.

[0063] The technical solution of this embodiment acquires historical load data, electricity price sequences, and energy storage data; based on the historical load data, it predicts the load electricity consumption according to a set time period to obtain an electricity consumption sequence; and based on the electricity consumption sequence, electricity price sequence, and energy storage data, it performs economic target calculations. Specifically, in a set time period at a low electricity price level, combined with energy storage data and the electricity consumption sequence, it determines whether to charge the energy storage during the lowest electricity price period and determines the charging power; in a set time period at a high electricity price level, combined with energy storage data and the electricity consumption sequence, it determines whether to discharge the energy storage during the highest electricity price period and determines the discharge power. Through the energy storage control method provided in this embodiment, the impact of electricity prices can be comprehensively considered when predicting microgrid load to obtain a suitable planned energy storage power, effectively reducing the electricity cost of the microgrid and improving economic efficiency.

[0064] Optional, Figure 3 This is a flowchart illustrating the calculation method for charging energy storage during low electricity price periods in step S130 of an energy storage control method provided in an embodiment of the present invention. Based on the above embodiment, as... Figure 3 As shown, the calculation method for energy storage charging during a set time period under low electricity price tiers includes:

[0065] S1301. Based on the energy sequence, obtain the maximum safe charging power curve for energy storage and calculate the energy storage charging power sequence.

[0066] Specifically, the maximum safe charging power curve for energy storage is a curve representing the maximum charging power that the energy storage system can achieve in each time interval under the premise of safe operation during a set time period in a low-price electricity tier. The energy storage charging power sequence is the charging power of the energy storage system in each set time period.

[0067] Based on the predicted load consumption for each set time period in the low-price tier of the energy consumption sequence, the maximum safe charging power for energy storage is obtained, thereby calculating the energy storage charging power sequence when the energy storage system is charged at the maximum safe charging power. The energy storage charging power sequence can be represented as (Pcbms1, Pcbms2, ..., Pcbmsk).

[0068] S1302. Sort the time periods of the low electricity price tiers in ascending order of electricity price, and combine them with the energy storage charging power sequence to obtain the corresponding power prediction sequence.

[0069] Specifically, the electricity price sequence for the low-price tier is arranged in chronological order and can be represented as (Cx1, Cx2, ..., Cxk). Arranging (Cx1, Cx2, ..., Cxk) in ascending order of price can be represented as (Tx1, Tx2, ..., Txk). The energy storage charging power sequence (Pcbms1, Pcbms2, ..., Pcbmsk) is then sorted in ascending order of price for each set time period to obtain the power prediction sequence, specifically represented as (Pcbms1', Pcbms2', ..., Pcbmsk').

[0070] S1303. Based on the power prediction sequence, and taking the full capacity of the energy storage as the charging cutoff condition, determine the number of time periods for charging.

[0071] Specifically, the full-charge capacity is the maximum capacity of electrical energy that the energy storage system can absorb during the charging process, and it can be represented by Cfull. Based on the electricity consumption within each set time period in the electricity prediction sequence, the number of set time periods required for energy storage charging is determined. The lowest electricity price is used to ensure that the total amount of electricity charged within each set time period reaches the full-charge capacity, i.e., Cfull ≦ Pcbms1' + Pcbms2' + ... + Pcbmsm', at which point energy storage charging stops. Therefore, energy storage charging is required for the first to m set time periods, meaning the number of set time periods for energy storage charging is m.

[0072] It should be noted that, based on the above embodiments, the calculation method for energy storage charging during a set time period under low electricity price conditions further includes: for the set time period under low electricity price conditions, no charging or discharging is performed during other set time periods except for the set time period for which charging is determined, thereby ensuring that charging is performed when electricity prices are low and discharging is performed when electricity prices are high, effectively reducing electricity costs and improving economic efficiency.

[0073] Optional, Figure 4 This is a flowchart illustrating the calculation method for energy storage discharge during high electricity price periods in step S130 of an energy storage control method provided in an embodiment of the present invention. Based on the above embodiment, as... Figure 4 As shown, the calculation method for energy storage discharge during a set time period in the high electricity price tier includes:

[0074] S1304. Sort the time periods of the high electricity price tiers in descending order of electricity price to obtain the energy storage discharge sequence.

[0075] Specifically, the electricity price sequence for high-price tiers, arranged chronologically, can be represented as (Cx1', Cx2', ..., Cxk'), and arranged in descending order of price, can be represented as (Tx1', Tx2', ..., Txk'). The energy storage discharge capacity for each set time period is obtained based on the corresponding electricity price, thus forming an energy storage discharge sequence.

[0076] S1305. Calculate the amount of energy storage discharge in each set time period in the energy storage discharge sequence.

[0077] Specifically, based on the predicted discharge capacity within each set time period in the energy storage discharge sequence, the energy storage discharge capacity within each set time period is calculated, i.e., the dischargeable capacity of the energy storage system. The energy storage discharge capacity can be represented by Pdis_i. For example, the energy storage discharge capacity can be obtained from the following quantitative relationship:

[0078] Pdis_i = MIN(Dischargeable amount in time period X_i, predicted power consumption in time period X_i)

[0079] Where i represents the i-th set time period, and 1≤i≤k. The smaller of the dischargeable amount and the predicted power consumption within each set time period is selected as the value of the energy storage discharge amount, so that the energy storage system capacity meets the energy storage discharge amount requirement.

[0080] S1306. Based on the energy storage discharge amount within a set time period, and using the current available energy storage capacity as the discharge cutoff condition, determine the number of set time periods for discharge.

[0081] Specifically, the current available capacity of the energy storage system is the total electrical energy that the system can release in its current state, denoted by Cbms. The current available capacity of the energy storage system is used as the discharge cutoff condition. When the sum of the energy discharge amounts over multiple set time periods is greater than or equal to the current available capacity, the energy storage system stops discharging, and the number of set time periods used for discharge is recorded, denoted by n. Here, 1 ≤ n ≤ k. Therefore, the discharge cutoff condition of the energy storage system can be expressed as follows: when Pdis_1 + Pdis_2 + ... + Pdis_n ≥ Cbms, the energy storage system stops discharging.

[0082] It should be noted that, based on the above embodiments, please continue to refer to... Figure 4 After determining the number of time periods for discharge, the method also includes: determining the energy storage discharge power based on the amount of energy stored during the time periods, wherein the energy storage discharge power is a constant value during the time periods.

[0083] Specifically, after determining the number of discharge time periods as n, the electricity prices from the 1st to the nth, arranged from highest to lowest, are matched with their corresponding time periods, and the duration of the matched time periods is converted to hours. The duration of each time period can be represented by x. The energy storage discharge amount within each time period is divided by the corresponding time period duration, expressed by the formula: Pdis_i / x (where 1≦i≦n, and x is in hours), to obtain the energy storage discharge power. The energy storage discharge power within each time period is a constant value, representing the average discharge power within each time period.

[0084] It should also be noted that for the high electricity price tier's designated time periods, charging and discharging are not performed during any of the designated time periods other than the time periods specifically designated for discharging. Within the high electricity price tier's designated time periods, discharging only occurs during the first to nth designated time periods when the electricity price is higher, while charging and discharging are not performed during the remaining designated time periods, which is beneficial for improving economic efficiency.

[0085] In addition to the low and high electricity price tiers described in the above embodiments, the electricity price tier also includes a medium electricity price tier, where the price falls between that of the low and high electricity price tiers. The following embodiments will explain how to calculate the economic targets for the time period set for the medium electricity price tier.

[0086] Optional, Figure 5 This is a flowchart illustrating the method for calculating the economic target at the medium electricity price tier in step S130 of an energy storage control method provided in an embodiment of the present invention. Based on the above embodiment, the electricity price sequence also includes a medium electricity price tier. Specifically, as shown... Figure 5 As shown, the calculation of economic targets based on electricity volume series, electricity price series, and energy storage data also includes:

[0087] S1307. During the set time period of the medium electricity price tier, based on the electricity consumption sequence and the electricity price sequence, predict the electricity consumption during the set time period of the high electricity price tier to obtain the predicted electricity consumption for the high electricity price tier.

[0088] Specifically, based on the electricity consumption and price sequences for each set time period within the medium-price tier, the electricity consumption for each set time period within the subsequent high-price tier is predicted, resulting in the predicted electricity consumption sequence for each set time period, thus forming the predicted electricity consumption sequence for the high-price tier. This predicted electricity consumption sequence can be represented as (Px1, Px2, ..., Pxk). Adding the predicted electricity consumption for each set time period within the high-price tier yields the predicted high-price electricity consumption. This predicted high-price electricity consumption can be represented by Ch, which can be calculated using the following formula: Ch = ∑Pxi (1≦i≦k).

[0089] S1308. If the predicted electricity consumption under the high electricity price is greater than the current energy storage capacity, then in the set time period of the medium electricity price tier, the energy storage will be charged according to the electricity price from low to high, and the set time period with the lowest electricity price will be selected until the energy storage capacity reaches the predicted electricity consumption under the high electricity price.

[0090] Specifically, when Ch>Cbms, it indicates that the current available capacity of energy storage is insufficient to meet the discharge demand during the set time period of the high electricity price tier. Therefore, it is necessary to charge during the corresponding set time period of the medium electricity price tier so that the energy storage capacity can meet the predicted electricity consumption of the high electricity price tier.

[0091] When selecting a time period for charging within the medium-price tier, the electricity prices for each time period are first arranged in ascending order, and the energy storage charging power for the corresponding time period is calculated to obtain the power curve within the medium-price tier's time period. Starting with the time period with the lowest electricity price, a corresponding number of time periods are selected for energy storage charging until Ch≦Cbms, at which point charging stops. This approach allows energy storage capacity to meet the predicted electricity demand in the high-price tier while enabling charging during relatively low-price time periods, effectively reducing charging costs.

[0092] S1309. If the predicted electricity consumption under the high electricity price is less than or equal to the current energy storage capacity, then the energy storage will not be charged or discharged during the set time period under the medium electricity price tier.

[0093] Specifically, when Ch≦Cbms, it indicates that the current available capacity of the energy storage system meets the discharge requirements during the high-price period, eliminating the need for charging during the medium-price period and thus reducing charging costs. Furthermore, the energy storage system does not discharge during the medium-price period but discharges during the higher-price period, improving economic efficiency.

[0094] For example, based on the electricity price sequence, if there is no set time period for the high electricity price tier within the forecast period, the control method for the set time period for the medium electricity price tier is adjusted to the control method for the set time period for the high electricity price tier. Specifically, if the future forecast period only includes set time periods for the low and medium electricity price tiers, the control method for the set time period for the medium electricity price tier is adopted for the high electricity price tier. The specific control method has been described in detail in the above embodiments and will not be repeated here. Adjusting the control method for the set time period for the medium electricity price tier ensures that energy storage charging occurs during the low electricity price tier set time period when the electricity price is lower, and energy storage discharging occurs during the medium electricity price tier set time period when the electricity price is higher, thereby minimizing electricity costs, achieving the economic target calculation, and improving economic efficiency.

[0095] Optionally, based on the above embodiments, the energy storage control method further includes: if there is a deviation between the set time period of the power consumption sequence and the set time period of the electricity price sequence, then the cost of the load power consumption within the set time period is calculated according to the electricity price sequence to obtain the average electricity price within the set time period.

[0096] Specifically, in the electricity consumption sequence obtained by predicting load consumption based on historical load data, if the duration of the set time period and the set time period in the electricity price sequence are not exactly equal, and there is a certain deviation, a set time period in the electricity consumption sequence may correspond to two different electricity prices. In this case, it is necessary to perform sequence processing on the load consumption within the set time period of the electricity consumption sequence. For example, the simplest method of processing the load consumption within the set time period can be used. The future time period is divided into multiple set time periods, specifically represented as Px1, Px2, Px3, ..., Pxn. A price sequence is obtained for each set time period in chronological order. Based on the electricity price of the set time period corresponding to Pxi in the price sequence and the electricity consumption of the set time period corresponding to Pxi in the electricity consumption sequence, cost calculation is performed to obtain the electricity cost of the set time period Pxi. The electricity cost of the set time period of Pxi is then divided by the duration of the set time period of Pxi to calculate the average electricity price of the set time period of Pxi. This yields the average electricity price sequence for each set time period corresponding to the electricity consumption sequence. The average electricity price sequence can be represented as (Cx1, Cx2, ..., Cxn), which facilitates subsequent calculation of economic targets.

[0097] Optionally, based on the above embodiments, the method for predicting load electricity consumption includes:

[0098] The first prediction model is used to predict the total load electricity consumption for all set time periods based on historical load data.

[0099] The second prediction model is adopted, which uses the total load power consumption as the boundary input and predicts the load power consumption according to a set time period; wherein, the prediction methods of the first prediction model and the second prediction model are the same or different.

[0100] Specifically, firstly, based on historical load data, a first prediction model is used to predict the total load consumption for all set time periods in the future. Then, using the total load consumption as a boundary, a second prediction model is used to predict the load consumption for each set time period within the future period. The first prediction model used to predict the total load consumption in the future period and the second prediction model used to predict the load consumption for each set time period within the future period can be the same model or different models, thereby improving prediction accuracy. For example, both the first and second prediction models can be ARIMA models, RNN models, or random forest models, etc.

[0101] This invention also provides an energy storage control device. Figure 6 This is a schematic diagram of an energy storage control device provided in an embodiment of the present invention. This energy storage control device is used to execute the energy storage control method described in any of the above embodiments, such as... Figure 6 As shown, the energy storage control device includes:

[0102] The data acquisition module 100 is used to acquire historical load data, electricity price series, and energy storage data; wherein, the electricity price series includes a set time period for at least two electricity price tiers;

[0103] The electricity consumption sequence calculation module 200 is used to predict the electricity consumption of the load according to a set time period based on historical load data, and obtain the electricity consumption sequence; wherein the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence.

[0104] The energy storage control calculation module 300 is used to calculate the economic target based on the power generation sequence, the electricity price sequence, and the energy storage data. Specifically, during a set time period in the low electricity price tier, it combines the energy storage data and the power generation sequence to determine whether to charge the energy storage during the lowest electricity price period and to determine the charging power. During a set time period in the high electricity price tier, it combines the energy storage data and the power generation sequence to determine whether to discharge the energy storage during the highest electricity price period and to determine the discharge power.

[0105] The energy storage control device provided in the embodiments of the present invention can execute the method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0106] Optionally, based on the above embodiments, the energy storage control calculation module 300 includes:

[0107] The energy storage charging calculation unit is used to obtain the maximum safe charging power curve of energy storage based on the energy quantity sequence, and to calculate the energy storage charging quantity sequence.

[0108] The energy storage power prediction unit is used to sort the set time periods of low electricity price tiers in ascending order of electricity price, and combine them with the energy storage charging power sequence to obtain the corresponding power prediction sequence.

[0109] The charging time period determination unit is used to determine the number of set time periods for charging based on the energy prediction sequence and with the energy storage capacity being fully charged as the charging cutoff condition.

[0110] Optionally, based on the above embodiments, the energy storage control calculation module 300 further includes:

[0111] The electricity price sorting unit is used to sort the set time periods of high electricity price tiers from highest to lowest price to obtain the energy storage discharge sequence;

[0112] The energy storage discharge calculation unit is used to calculate the energy storage discharge amount within each set time period in the energy storage discharge sequence.

[0113] The discharge time period determination unit is used to determine the number of set time periods for discharge based on the energy storage discharge amount within a set time period and using the current available energy storage capacity as the discharge cutoff condition.

[0114] Optionally, based on the above embodiments, the energy storage control calculation module 300 further includes:

[0115] The electricity consumption forecasting unit is used to forecast electricity consumption for a set time period in the medium electricity price tier, based on the electricity consumption sequence and the electricity price sequence, and to obtain the predicted electricity consumption for the high electricity price tier.

[0116] The predicted electricity consumption judgment unit is used to select the time period with the lowest electricity price in the middle electricity price range, sorted by electricity price from small to large, and charge the energy storage if the predicted electricity consumption under the high electricity price is greater than the current energy storage capacity, until the energy storage capacity reaches the predicted electricity consumption under the high electricity price.

[0117] If the predicted electricity consumption under the high electricity price is less than or equal to the current energy storage capacity, then the system will not charge or discharge during the set time period under the medium electricity price tier.

[0118] Optionally, based on the above embodiments, the power sequence calculation module 200 includes:

[0119] The cost calculation unit is used to calculate the cost of the load electricity consumption within the set time period based on the electricity price series if there is a deviation between the set time period of the electricity consumption series and the set time period of the electricity price series, so as to obtain the average electricity price within the set time period.

[0120] Optionally, based on the above embodiments, the power sequence calculation module 200 further includes:

[0121] The first forecasting unit is used to use the first forecasting model to forecast the total load electricity consumption within all set time periods based on historical load data.

[0122] The second prediction unit is used to use the second prediction model, with the total load power consumption as the boundary input, to predict the load power consumption according to a set time period.

[0123] The prediction methods of the first prediction model and the second prediction model may be the same or different.

[0124] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An energy storage control method, characterized in that, include: Acquire historical load data, electricity price sequences, and energy storage data; wherein the electricity price sequences include a set time period for at least two electricity price tiers; Based on historical load data, the electricity consumption is predicted according to a set time period to obtain an electricity consumption sequence; wherein the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence. An economic target is calculated based on the power consumption sequence, the electricity price sequence, and the energy storage data. Specifically, during a set time period at a low electricity price level, the energy storage charging is determined to occur during the lowest electricity price period, and the charging power is determined, based on the energy storage data and the power consumption sequence. During a set time period at a high electricity price level, the energy storage discharging is determined to occur during the highest electricity price period, based on the energy storage data and the power consumption sequence, and the discharging power is determined, based on the energy storage data and the power consumption sequence. The electricity price sequence further includes: a set time period for the medium electricity price tier, which is between the low electricity price tier and the high electricity price tier; The calculation of the economic target based on the electricity consumption sequence, the electricity price sequence, and the energy storage data further includes: In the set time period of the medium electricity price tier, based on the electricity consumption sequence and the electricity price sequence, the electricity consumption of the set time period of the high electricity price tier is predicted to obtain the predicted electricity consumption of the high electricity price tier. If the predicted high electricity price electricity consumption is greater than the current energy storage capacity, then the set time period in the medium electricity price tier is sorted from low to high electricity price, and the set time period with the lowest electricity price is selected for energy storage charging until the energy storage capacity reaches the predicted high electricity price electricity consumption. If the predicted electricity consumption under the high electricity price is less than or equal to the current energy storage capacity, then the system will not charge or discharge during the set time period under the medium electricity price tier.

2. The energy storage control method according to claim 1, characterized in that, The calculation method for energy storage charging during the designated time period under the low electricity price tier includes: Based on the energy sequence, the maximum safe charging power curve for energy storage is obtained, and the energy storage charging power sequence is calculated. The time periods of the low electricity price tiers are sorted in ascending order of electricity price, and the corresponding power prediction sequence is obtained by combining the energy storage charging power sequence. Based on the power prediction sequence, the number of time periods for charging is determined with the energy storage capacity being fully charged as the charging cutoff condition.

3. The energy storage control method according to claim 2, characterized in that, Also includes: For the set time period of the low electricity price tier, no charging or discharging will occur during the other set time periods besides the designated charging time period.

4. The energy storage control method according to claim 1, characterized in that, The calculation method for energy storage discharge during a set time period under the high electricity price tier includes: The time periods of the high electricity price tiers are sorted from highest to lowest electricity price to obtain the energy storage discharge sequence; Calculate the amount of energy discharged within each set time period in the energy storage discharge sequence; Based on the energy storage discharge amount within the set time period, and using the current available energy storage capacity as the discharge cutoff condition, the number of set time periods for discharge is determined.

5. The energy storage control method according to claim 4, characterized in that, After determining the number of time periods for discharging, the following is also included: The energy storage discharge power is determined based on the amount of energy stored during the set time period, and the energy storage discharge power is a constant value during the set time period.

6. The energy storage control method according to claim 4, characterized in that, Also includes: For the set time period of the high electricity price tier, no charging or discharging is performed during the other set time periods, except for the set time period for which discharge is determined.

7. The energy storage control method according to claim 1, characterized in that, Also includes: According to the electricity price sequence, if there is no set time period for the high electricity price tier within the predicted time period, the control method for the set time period of the medium electricity price tier will be adjusted to the control method for the set time period of the high electricity price tier.

8. The energy storage control method according to claim 1, characterized in that, Also includes: If there is a discrepancy between the set time period of the electricity consumption sequence and the set time period of the electricity price sequence, then the cost of the load electricity consumption within the set time period is calculated based on the electricity price sequence to obtain the average electricity price within the set time period.

9. The energy storage control method according to claim 1, characterized in that, Methods for predicting electricity load include: The first prediction model is used to predict the total load electricity consumption for all set time periods based on historical load data; The second prediction model is adopted, using the total load power consumption as the boundary input, and predicts the load power consumption according to a set time period. The prediction methods of the first prediction model and the second prediction model may be the same or different.

10. An energy storage control device, characterized in that, include: The data acquisition module is used to acquire historical load data, electricity price sequences, and energy storage data; wherein, the electricity price sequence includes a set time period for at least two electricity price tiers; The electricity consumption sequence calculation module is used to predict the electricity consumption of the load according to a set time period based on historical load data, and obtain the electricity consumption sequence; wherein the set time period of the electricity consumption sequence corresponds to the set time period of the electricity price sequence. The energy storage control calculation module is used to calculate the economic target based on the power generation sequence, the electricity price sequence, and the energy storage data. Specifically, during a set time period at a low electricity price level, the module combines the energy storage data and the power generation sequence to determine whether to charge the energy storage during the lowest electricity price period and to determine the charging power. During a set time period at a high electricity price level, the module combines the energy storage data and the power generation sequence to determine whether to discharge the energy storage during the highest electricity price period and to determine the discharge power. The energy storage control and calculation module further includes: The electricity consumption prediction unit is used to predict the electricity consumption for a set time period of the high electricity price level based on the electricity consumption sequence and the electricity price sequence within a set time period of the medium electricity price level, so as to obtain the predicted electricity consumption for the high electricity price level. The predicted electricity consumption judgment unit is used to, if the predicted electricity consumption under the high electricity price is greater than the current energy storage capacity, sort the set time periods under the medium electricity price level in ascending order of electricity price, select the set time period with the lowest electricity price for energy storage charging, until the energy storage capacity reaches the predicted electricity consumption under the high electricity price. If the predicted electricity consumption under the high electricity price is less than or equal to the current energy storage capacity, then the system will not charge or discharge during the set time period under the medium electricity price tier.

11. A microgrid, characterized in that, include: Load systems, energy storage systems, and control systems; The control system performs the energy storage control method as described in any one of claims 1-9.

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