Control method and device of energy storage device in integrated energy station

Abstract

The application provides a control method and device for an energy storage device in a comprehensive energy station, comprising: obtaining source and load power prediction sequences of the comprehensive energy station, and dividing candidate charging and discharging time periods of the energy storage device; in the candidate charging time period, if an energy storage device charging constraint is met, the candidate charging time period is determined as a target charging time period; in the candidate discharging time period, if an energy storage device discharging constraint is met, a discharging interval is selected based on an energy storage device discharging loss cost and a power grid purchase cost, and a longest continuous time period in which the energy storage device discharging loss cost at each time does not exceed the power grid purchase cost and covers a time of the highest electricity price in the discharging interval is further selected as an effective discharging time period; in a dispatching period, the energy storage device is charged and discharged in the target charging time period and the effective discharging time period. The application is beneficial to improving the service life of the energy storage device and optimizing the charging and discharging strategy of the energy storage device.

Description

Technical Field

[0001] This invention relates to the field of integrated energy station technology, and more specifically, to a control method and apparatus for an energy storage device in an integrated energy station. Background Technology

[0002] An integrated energy station is a new type of energy facility that integrates multiple energy supplies (such as wind power and solar power) and services in a single location, achieving coordinated supply through intelligent control. Because power generation using wind and solar energy is inherently random, it is generally equipped with energy storage batteries to store, distribute, and utilize electrical energy, ensuring the stability and reliability of the integrated energy station while meeting user electricity demands.

[0003] One real-time charging and discharging strategy for energy storage devices operates on the following logic: if the total power generation of the wind and solar power generation devices exceeds the required power load, charging is initiated; if the total power generation is less than the required power load, discharging is initiated. Furthermore, it incorporates grid electricity prices to achieve off-peak charging and peak-peak discharging, reducing electricity costs. While this real-time charging and discharging strategy is simple to implement, it lacks long-term planning capabilities and is prone to issues such as the energy storage device being fully charged during off-peak hours or running out of power during peak hours. In addition, some solutions utilize intelligent control methods such as reinforcement learning (RL) to construct the current environment based on the total power generation of the wind and solar power generation devices and electricity prices. Based on this, they determine whether charging or discharging is necessary to handle the strong uncertainties in wind and solar power, load, and electricity prices, achieving dynamic optimization of the charging and discharging strategy and adaptive decision-making for complex scenarios. While this approach can achieve multi-objective optimization decision-making, it focuses primarily on power targets and economic efficiency, neglecting factors such as the state of health (SOH) and cycle life losses of the energy storage device itself. This can easily lead to frequent charge-discharge cycles and deep cycling, shortening battery life. Furthermore, although intelligent algorithms such as reinforcement learning and deep learning can handle uncertainty and multi-objective optimization, they suffer from a "black box problem," resulting in poor interpretability and difficulty in meeting the high reliability requirements of industrial-grade energy storage systems.

[0004] Chinese patent application CN119765426B discloses an optimization method for energy storage operation strategy that takes into account charging and discharging losses and real-time electricity prices. The method includes: establishing an optimization model for the user's energy storage system operation; determining the optimal charging and discharging periods based on the electricity price curve; determining the charging and discharging states of the energy storage system in each period based on the optimal charging and discharging periods; transforming the optimization model into a linear programming model based on the charging and discharging states of the energy storage system; and finally solving for the operation strategy that maximizes the operating benefits of the energy storage system. However, this method still has the following shortcomings: it does not involve distributed power sources such as wind power and photovoltaic power, and is not applicable to integrated energy station scenarios; it is based on known and deterministic load and electricity price curves, and is only suitable for offline experiments, not for scenarios with uncertain loads such as wind and solar power; furthermore, in this invention, the battery life depreciation cost uses a simplified model, which is only proportional to the charging and discharging capacity. This optimization strategy may lead to a tendency to maximize the depth of a single charge and discharge cycle to pursue electricity price difference gains, resulting in the actual aging rate of the battery being much faster than the model prediction, and the actual total life cycle cost being higher than the optimized calculation value.

[0005] The charging and discharging strategy of energy storage batteries is an important control strategy for integrated energy stations. How to rationally control the charging and discharging of energy storage batteries is of great research significance. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a control method and apparatus for energy storage devices in integrated energy stations.

[0007] The present invention adopts the following technical solution.

[0008] In a first aspect, the present invention discloses a control method for an energy storage device in an integrated energy station, the method comprising the following steps: S1. Obtain the predicted sequence of new energy power generation and load power of the integrated energy station, and divide the candidate charging period and candidate discharging period of the energy storage device based on the difference between power generation and load power at each time. S2. During the candidate charging period, if the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity, then the candidate charging period is determined as the target charging period. S3. During the candidate discharge period, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device, then based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, a discharge interval is selected, and the cumulative discharge power corresponding to the discharge interval is determined as the undetermined discharge power. S4. When the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, the corresponding candidate discharge period is taken as the target discharge period. Within the discharge interval corresponding to the target discharge period, an effective discharge period is selected, and the target discharge capacity is determined. The effective discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price in the discharge interval. S5. During the scheduling cycle, when the target charging period is reached, the energy storage device is controlled to charge; when the effective discharge period is reached, the energy storage device is controlled to discharge according to the target discharge capacity.

[0009] More preferably, In S1, the candidate charging period and candidate discharging period of the energy storage device are determined as follows: the continuous period in which the difference between the new energy power generation and the load power is continuously greater than 0 within the scheduling cycle is determined as the candidate charging period; the continuous period in which the difference between the new energy power generation and the load power is continuously less than 0 is determined as the candidate discharging period.

[0010] More preferably, In S3, the discharge interval is selected by: traversing each intermediate discharge period within the candidate discharge period, calculating the mains power purchase cost and the energy storage device discharge loss cost for each intermediate discharge period; and selecting the intermediate discharge period where the absolute value of the difference between the power purchase cost and the energy storage device discharge loss cost is less than a preset cost difference threshold as the discharge interval.

[0011] More preferably, The discharge loss cost of the energy storage device is determined based on the actual discharge depth of the energy storage device during the discharge process, specifically as follows: ;in, This represents the loss cost corresponding to the actual discharge depth of the energy storage device during this discharge process. This represents the actual depth of discharge of the energy storage device during this discharge process; The rated depth of discharge of the energy storage device; The rated number of charge-discharge cycles corresponding to the rated depth of discharge; Cost of purchasing energy storage devices; , These are the fixed fitting coefficients in the nonlinear mapping function corresponding to the depth of discharge and the number of charge-discharge cycles of the energy storage device.

[0012] More preferably, The specific costs of purchasing mains electricity during each intermediate discharge period are as follows:

[0013] in, This is the start time point of the intermediate discharge period. This is the end time point of the intermediate discharge period. For future time points t The corresponding electricity price The time interval between two adjacent future time points; This represents the maximum discharge power of the energy storage device. For future time points t Corresponding to the power generation capacity of new energy sources, For future time points t The corresponding load power.

[0014] More preferably, In S4, when selecting effective discharge periods within the discharge interval, the discharge loss cost of the energy storage device at each moment is determined as follows:

[0015] in, For future time points k The corresponding discharge loss cost of the energy storage device; This represents the maximum discharge power of the energy storage device. For future time points k Corresponding new energy power generation capacity, For future time points k Corresponding load power; The actual discharge capacity of the energy storage device within the discharge range. The total discharge loss cost of the energy storage device within the discharge range.

[0016] More preferably, In S4, the step of using the corresponding candidate discharge period as the target discharge period specifically includes: Analyze candidate discharge periods where the undetermined discharge capacity exceeds the minimum discharge threshold of the energy storage device. If the number of such candidate discharge periods is not greater than... M If all of them are selected, then all of them are determined as the target discharge period; otherwise, at most one of them is selected. M One candidate discharge period is selected as the target discharge period; among them... M The maximum number of discharges for the energy storage device is preset within the scheduling cycle.

[0017] Secondly, the present invention discloses a control device for an energy storage device in an integrated energy station based on the aforementioned method, including a candidate time period division module, a target charging time period screening module, a pending discharge capacity calculation module, an effective discharge time period screening module, and an energy storage scheduling execution module; The candidate time period segmentation module obtains the predicted sequences of new energy power generation and load power of the integrated energy station, and divides the candidate charging time period and candidate discharging time period of the energy storage device based on the difference between power generation and load power at each time. The target charging period screening module determines the candidate charging period as the target charging period if, within the candidate charging period, the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity. The module for determining the undetermined discharge capacity, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device during the candidate discharge period, then selects a discharge interval based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, and determines the cumulative discharge capacity corresponding to the discharge interval as the undetermined discharge capacity. The effective discharge period screening module, when the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, takes the corresponding candidate discharge period as the target discharge period, screens the effective discharge period within the discharge interval corresponding to the target discharge period, and determines the target discharge capacity; the effective discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price in the discharge interval. The energy storage scheduling execution module controls the energy storage device to charge when the target charging period is reached during the scheduling cycle, and controls the energy storage device to discharge according to the target discharge amount when the effective discharge period is reached.

[0018] Thirdly, the present invention provides a terminal, including a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of the first aspects of the present invention.

[0019] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects of the present invention.

[0020] The beneficial effects of this invention are compared with those of the prior art: This invention divides candidate charging and discharging periods for energy storage based on the predicted sequences of new energy power generation and load power. On the charging side, it sets a threshold for power difference and an upper limit constraint on energy storage capacity, which can filter out small-scale, inefficient charging conditions, avoid frequent start-stop charging of energy storage, and reduce losses caused by ineffective charging and discharging. On the discharging side, it simultaneously considers the energy storage discharge loss cost and the cost of purchasing electricity from the grid. It filters the discharge range and determines the expected discharge capacity through cost difference tolerance, overcoming the shortcomings of traditional dispatching that only considers electricity prices and ignores the degradation of energy storage lifespan. It takes into account both electricity procurement costs and energy storage equipment losses, and can avoid frequent charging and discharging or deep cycling of energy storage devices, which is beneficial to improving the service life of energy storage devices. This invention conducts a time-by-time economic comparison within a discharge range. It selects the longest continuous period where the energy storage discharge loss cost at each moment does not exceed the grid electricity purchase cost and covers the moment with the highest electricity price in the range as the effective discharge period. This ensures that the discharge behavior at each moment within the effective discharge period is economical, avoiding unprofitable discharges in localized periods within the range. Furthermore, it locks in the moment with the highest electricity price in the range, fully utilizing the benefits from peak-valley price differences. Simultaneously, selecting the longest continuous period reduces frequent start-stop operations and repeated switching of operating states, minimizing additional energy storage losses caused by operational fluctuations. Finally, this invention comprehensively determines the appropriate discharge capacity based on grid electricity prices and the loss cost of the energy storage device. This not only smooths out the intermittency and volatility of wind and solar power output and reduces grid connection impact, but also optimizes the charging and discharging strategy of the energy storage device based on fluctuating grid electricity price signals, achieving off-peak charging and peak-peak discharging, further reducing electricity costs. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the control method for an energy storage device in an integrated energy station according to the present invention. Figure 2 This is a schematic diagram of a structure of the integrated energy station provided in Embodiment 1 of the present invention; Figure 3 This is a schematic diagram of a power curve over a future time period provided in Embodiment 1 of the present invention; Figure 4 This is a graph showing the difference in power provided in Embodiment 1 of the present invention; Figure 5 This is a schematic diagram illustrating the functional relationship between the depth of discharge and the number of charge-discharge cycles provided in Embodiment 1 of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0023] like Figure 1 As shown, this invention discloses a control method for an energy storage device in an integrated energy station, comprising the following steps: S1. Obtain the predicted sequence of new energy power generation and load power of the integrated energy station, and divide the candidate charging period and candidate discharging period of the energy storage device based on the difference between power generation and load power at each time. The candidate charging period and candidate discharging period of the energy storage device are determined as follows: the continuous period in which the difference between the new energy power generation and the load power is continuously greater than 0 within the scheduling cycle is determined as the candidate charging period; the continuous period in which the difference between the new energy power generation and the load power is continuously less than 0 is determined as the candidate discharging period.

[0024] S2. During the candidate charging period, if the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity, then the candidate charging period is determined as the target charging period. S3. During the candidate discharge period, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device, then based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, a discharge interval is selected, and the cumulative discharge power corresponding to the discharge interval is determined as the undetermined discharge power. The discharge interval is selected by: traversing each intermediate discharge period within the candidate discharge period, calculating the mains power purchase cost and the energy storage device discharge loss cost for each intermediate discharge period; selecting intermediate discharge periods where the absolute value of the difference between the mains power purchase cost and the energy storage device discharge loss cost is less than a preset cost difference threshold as the discharge interval; the preset cost difference threshold is preset according to the energy storage device specifications.

[0025] The discharge loss cost of the energy storage device is determined based on the actual discharge depth of the energy storage device during the discharge process, specifically as follows: ;in, This represents the loss cost corresponding to the actual discharge depth of the energy storage device during this discharge process. This represents the actual depth of discharge of the energy storage device during this discharge process; The rated depth of discharge of the energy storage device; The rated number of charge-discharge cycles corresponding to the rated depth of discharge; Cost of purchasing energy storage devices; , These are the fixed fitting coefficients in the nonlinear mapping function corresponding to the discharge depth and cycle number of the energy storage device.

[0026] S4. When the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, the corresponding candidate discharge period is taken as the target discharge period. Valid discharge periods are selected within the discharge interval corresponding to the target discharge period, and the target discharge capacity is determined. The valid discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price within the discharge interval. In S4, the step of using the corresponding candidate discharge period as the target discharge period specifically includes: Analyze candidate discharge periods where the undetermined discharge capacity exceeds the minimum discharge threshold of the energy storage device. If the number of such candidate discharge periods is not greater than... M If all of them are selected, then all of them are determined as the target discharge period; otherwise, at most one of them is selected. M One candidate discharge period is selected as the target discharge period; among them... M The maximum number of discharges for the energy storage device is preset within the scheduling cycle.

[0027] When selecting effective discharge periods within the discharge range, the discharge loss cost of the energy storage device at each moment is determined as follows:

[0028] in, For future time points k The corresponding discharge loss cost of the energy storage device; This represents the maximum discharge power of the energy storage device. For future time points k Corresponding new energy power generation capacity, For future time points k Corresponding load power; The actual discharge capacity of the energy storage device within the discharge range. The total discharge loss cost of the energy storage device within the discharge range.

[0029] S5. During the scheduling cycle, when the target charging period is reached, the energy storage device is controlled to charge; when the effective discharge period is reached, the energy storage device is controlled to discharge according to the target discharge capacity.

[0030] Example 1: like Figure 1 As shown, this invention discloses a control method for an energy storage device in an integrated energy station, comprising the following steps: S1. Obtain the predicted sequence of new energy power generation and load power of the integrated energy station, and divide the candidate charging period and candidate discharging period of the energy storage device based on the difference between power generation and load power at each time. In addition to being connected to the municipal power grid, integrated energy stations can also utilize renewable resources such as wind and solar energy for power generation. Figure 2 A schematic diagram of a structure for an integrated energy station is shown, such as... Figure 2 As shown, in addition to connecting to the mains power grid via a transformer, the integrated energy station can also generate its own power using its wind power generation and photovoltaic power generation devices. Through joint operation, it can supply power to various electrical loads such as electrical equipment. Furthermore, it is equipped with energy storage devices such as batteries to further ensure the stability and reliability of power supply.

[0031] Among these, the charging and discharging control of energy storage devices can be achieved through the BMS (Battery Management System). The BMS is the decision-making brain of the integrated energy station's energy storage control. It can coordinate information from multiple dimensions such as source (wind power, solar power), grid (mains power), load (load), and storage to achieve global optimization of charging and discharging strategies and improve energy utilization efficiency.

[0032] This invention provides a control method for energy storage devices in an integrated energy station. Based on a prediction model, the power of each device in the integrated energy station is predicted to determine the candidate charging and discharging periods for the energy storage devices in the future. By combining the grid electricity price and the loss cost of the energy storage devices, the discharge period is selected. Based on the prediction results, a charging and discharging control strategy for the energy storage devices can be generated in advance, which can avoid frequent charging and discharging or deep cycling of the energy storage devices and help improve the service life of the energy storage devices.

[0033] This invention provides a control method for an energy storage device in an integrated energy station. This method can be executed by an edge control device in the integrated energy station, specifically by a BMS (Battery Management System). The integrated energy station includes wind power generation devices, photovoltaic power generation devices, and energy storage devices, etc., for details. Figure 2 As shown.

[0034] Furthermore, based on the prediction model, the working status of the integrated energy station in the future time period is predicted, and the candidate charging period and candidate discharging period of the energy storage device in the future time period are determined.

[0035] In this embodiment, a model is preset that can predict the working status of the integrated energy station in the future time period, i.e., a prediction model. Based on the prediction results of the prediction model, it can be determined which time periods can be used to charge the energy storage device (i.e., candidate charging time periods) and which time periods can be used to discharge the energy storage device (i.e., candidate discharging time periods).

[0036] If the total power generation of the wind power generation device and the photovoltaic power generation device is greater than the power required by the electrical equipment, it means that there is surplus power to charge the energy storage device, which corresponds to the candidate charging period. Conversely, if the total power generation of the wind power generation device and the photovoltaic power generation device is less than the power required by the electrical equipment, it means that the energy storage device or the grid power needs to provide additional power to ensure the normal operation of the electrical equipment, which corresponds to the candidate discharging period.

[0037] Specifically, the candidate charging period and candidate discharging period of the energy storage device are determined as follows: the continuous period in which the difference between the new energy power generation and the load power is continuously greater than 0 within the scheduling cycle is determined as the candidate charging period; the continuous period in which the difference between the new energy power generation and the load power is continuously less than 0 is determined as the candidate discharging period.

[0038] Optionally, the prediction of the working status of the integrated energy station based on the prediction model in the future time period, and the determination of the candidate charging period and candidate discharging period of the energy storage device in the future time period, includes steps A1 to A3.

[0039] Step A1: Obtain the first power sequence of the wind power generation device based on the first power prediction model, obtain the second power sequence of the photovoltaic power generation device based on the second power prediction model, and obtain the third power sequence of the electrical equipment in the integrated energy station based on the third power prediction model.

[0040] In this embodiment, based on different power prediction models (i.e., the first power prediction model, the second power prediction model, and the third power prediction model), the power of wind power generation devices, photovoltaic power generation devices, and electrical equipment at various future time points in the future time period is predicted respectively, generating corresponding power sequences, namely the first power sequence, the second power sequence, and the third power sequence.

[0041] Specifically, the power prediction model can employ an LSTM-Transformer architecture to ensure that the prediction errors for wind and solar power output and load are within a reasonable range. Furthermore, the first power sequence includes the power generation of wind power generation devices at multiple future time points. The second power sequence includes the power generation of photovoltaic power generation devices at multiple future points in time. The third power sequence includes the operating power required by electrical equipment at multiple future points in time. .

[0042] Figure 3 This diagram illustrates a power curve over a future time period. Figure 3 The horizontal axis represents time, corresponding to a future 24-hour period, and the vertical axis represents power. For example... Figure 3As shown, for photovoltaic power generation devices, their power output is mainly affected by the intensity of sunlight, with the highest output at midday and almost zero at night. For wind power generation devices, their actual power output is related to wind speed, generally determined by the cut-in wind speed, cut-out wind speed, and rated wind speed. Wind speeds are generally higher at night, so the power output curve of wind power generation devices generally shows a trend of higher power output at night and lower power output during the day. As for the electrical load corresponding to the electrical equipment, its output is relatively low at night, gradually increasing during the day, and reaching its maximum value after dusk.

[0043] Generally, the first, second, and third power sequences predicted based on the power prediction model also show an overall pattern. Figure 3 The trend shown is as follows.

[0044] In this approach, different edge devices can perform corresponding prediction tasks to predict various power sequences, and then transmit the predicted power sequences to the BMS for unified processing. This not only enables parallel prediction and improves prediction efficiency, but also allows multiple edge devices to work collaboratively.

[0045] Step A2: For any future point in time, determine the power difference between the generated power and the required operating power; power difference for: ; Let t be the power generation capacity of the wind power generation device at a future time point within a future time period. To represent the power generation capacity of a photovoltaic power generation device at a future time point t. Let t be the operating power required by the electrical equipment at a future time point.

[0046] Step A3: Select the periods in the future where the differential power is continuously greater than 0 as candidate charging periods, and select the periods in the future where the differential power is continuously less than 0 as candidate discharging periods.

[0047] for Figure 3 The power curve shown, Figure 4 The graphs corresponding to the power differences are shown. For example... Figure 4 As shown, the horizontal axis still represents time, and the vertical axis represents the differential power. For any future time point t within the future time period, it can be based on... Determine the differential power corresponding to the future time point t. Its whole is like Figure 4 As shown.

[0048] based on Figure 4 It can be seen that at the time points corresponding to points A, B, C, and D, the difference in power... Therefore, by dividing future time periods based on these time points, we can obtain corresponding candidate charging periods and candidate discharging periods. It can be understood that the period from the start to point A is a candidate charging period; from point A to point B is a candidate discharging period; from point B to point C is a candidate charging period; and from point C to point D is a candidate discharging period.

[0049] S2. During the candidate charging period, if the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity, then the candidate charging period is determined as the target charging period. In this embodiment, to avoid frequent charging and discharging of the energy storage device, a minimum charging threshold is set for the energy storage device. and minimum discharge threshold For example, if the rated capacity of an energy storage device is 100 kWh, then the minimum charging threshold can be 20 kWh, meaning that the amount of energy charged each time cannot be less than 20 kWh; similarly, if the minimum discharging threshold is 20 kWh, then the amount of energy discharged by the energy storage device each time cannot be less than 20 kWh.

[0050] For candidate charging periods, for example Figure 4 During the time period from midpoint B to point C, the remaining available electricity for wind power and photovoltaic power generation devices can be calculated. This remaining available electricity is the amount of electricity remaining after powering the electrical equipment, which can be used to charge the energy storage device. If this remaining available electricity exceeds the minimum charging threshold allowed by the energy storage device... If the additional power generated by the wind and photovoltaic power generation devices can be used to charge the energy storage device, then this candidate charging period can be used as the subsequent allowed charging period, i.e., the target charging period.

[0051] If the remaining available power is less than the minimum charging threshold allowed by the energy storage device If the candidate charging period is unsuitable as the target charging period, or if the grid electricity price is appropriate, supplementary charging based on grid electricity may be necessary to ensure that the charging amount for the energy storage device exceeds the minimum charging threshold. .

[0052] S3. During the candidate discharge period, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device, then based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, a discharge interval is selected, and the cumulative discharge power corresponding to the discharge interval is determined as the undetermined discharge power. During the candidate discharge period, if the additional electricity required by the electrical equipment of the integrated energy station, in addition to the power generation of the wind power generation device and the photovoltaic power generation device, is greater than the minimum discharge capacity allowed by the energy storage device, then the discharge interval is selected based on the discharge loss cost of the energy storage device and the grid power purchase cost, and the cumulative discharge capacity corresponding to the discharge interval is determined as the undetermined discharge capacity. For candidate discharge periods, for example Figure 4 During the period from midpoint A to point B, the electrical equipment requires additional power to operate. This additional power can be calculated based on the difference between the load's electricity consumption and the renewable energy generation. Similarly, if this additional power is less than the minimum discharge threshold of the energy storage device... This indicates that the energy storage device can only provide a small amount of electricity to the electrical equipment, and is prone to frequent discharge. Therefore, the energy storage device cannot be discharged during this candidate discharge period. If the additional electricity exceeds the minimum discharge threshold of the energy storage device... Further analysis can be conducted based on the grid electricity price to determine whether it is better to be directly powered by grid electricity or to use energy storage devices for discharge.

[0053] In this embodiment, both the grid electricity price and the loss cost of the energy storage device are comprehensively considered to achieve a better decision. Specifically, the cost balance point of the two methods of energy storage discharge power supply and grid electricity purchase power supply can be solved: that is, for a certain candidate discharge volume, the purchase cost of purchasing the volume at the grid electricity price is calculated, and the loss cost of the energy storage device caused by releasing the volume is calculated. When the absolute value of the difference between the two is less than a preset cost difference threshold, the volume is taken as the undetermined discharge volume; the preset cost difference threshold is related to the specifications of the energy storage device, and in this embodiment, it is preferably 1% of the rated capacity of the energy storage device.

[0054] It is understood that the pending discharge capacity is no greater than the additional power required by the electrical equipment during the candidate discharge period.

[0055] In some optional implementations, the step of selecting a discharge range based on the discharge loss cost of the energy storage device and the mains power purchase cost, and determining the cumulative discharge capacity corresponding to the discharge range as the undetermined discharge capacity, includes the following steps B1 to B4.

[0056] Step B1: For any intermediate discharge period within the candidate discharge period, determine the purchase cost of providing additional power to the electrical equipment based on the mains power.

[0057] Since not all points in time within the entire candidate discharge period are suitable for powering storage devices, a portion of the time period can be selected as the "intermediate discharge period." In other words, the intermediate discharge period is a subset of the candidate discharge period.

[0058] Specifically, since the candidate discharge period contains multiple time points, any two time points can be selected, and the time period between the two selected time points is taken as an intermediate discharge period; different intermediate discharge periods can be formed by selecting different two time points.

[0059] If additional power is supplied to the electrical equipment by the mains electricity during this intermediate discharge period, the corresponding purchase cost can be calculated based on the mains electricity price.

[0060] Optionally, for a certain intermediate discharge period, if its start time is The end time is Then for any point in time within this intermediate discharge period t The extra electricity provided to electrical equipment can be expressed as ,in, This refers to the time interval between two adjacent future time points. For example, if a prediction model forecasts the power of a device every 15 minutes, then... The duration is 15 minutes. Furthermore, this electricity purchase cost is compared to the loss cost when the energy storage device supplies power, and the energy storage device has a maximum discharge power. Therefore, the power supplied by the mains power must not exceed the maximum discharge power. Comparison is only meaningful under the premise that the electrical equipment provides additional power: .

[0061] Therefore, the purchase cost based on the mains power supply to provide additional electricity to electrical equipment. for:

[0062] in, This is the start time point of the intermediate discharge period. This is the end time point of the intermediate discharge period. Let the price of electricity at future time t be... The time interval between two adjacent future time points; This represents the maximum discharge power of the energy storage device. future time points within a future time period t The power generation capacity of wind power generation devices To represent the power generation capacity of a photovoltaic power generation device at a future time point t. Let t be the operating power required by the electrical equipment at a future time point.

[0063] Step C2: Determine the actual discharge capacity of the energy storage device during the intermediate discharge period, and determine the actual discharge depth corresponding to the actual discharge capacity.

[0064] Step C3: Determine the loss cost corresponding to the actual discharge capacity released by the energy storage device based on the actual discharge depth.

[0065] Generally, the lifespan of an energy storage device (energy storage battery) is fixed within each complete charge-discharge cycle; however, the damage to the battery varies depending on the depth of discharge (DOD). In actual operation, a greater depth of discharge results in fewer charge-discharge cycles and a shorter cycle life, while a smaller depth of discharge results in more charge-discharge cycles and a longer cycle life. Therefore, the correlation between depth of discharge and cost can be statistically established to reasonably calculate the cost of energy storage devices at various depths of discharge.

[0066] Specifically, the correlation between the depth of discharge of an energy storage device and its corresponding number of charge-discharge cycles can be statistically analyzed. In this embodiment, the functional relationship between the depth of discharge and the number of charge-discharge cycles is fitted using a combination of power functions and exponential functions. The nonlinear mapping function corresponding to the depth of discharge of the energy storage device and the number of charge-discharge cycles is as follows:

[0067] in, This indicates the actual depth of discharge of the energy storage device during this discharge process. This indicates the actual number of charge-discharge cycles corresponding to this discharge process; This indicates the rated depth of discharge (e.g., 100%) of the energy storage device. This indicates the rated number of charge-discharge cycles corresponding to the rated depth of discharge. For a certain type of energy storage device, It is also a constant value. , The fitting coefficients are determined when fitting the relationship between the depth of discharge and the number of charge-discharge cycles of an energy storage device.

[0068] Figure 5 This diagram illustrates the functional relationship between depth of discharge and number of charge-discharge cycles, where the horizontal axis represents depth of discharge (e.g., ...). The vertical axis represents the number of charge-discharge cycles of the energy storage device (e.g., ...). ).

[0069] The total discharge capacity corresponding to the rated depth of discharge of an energy storage device over its entire life cycle. for: ;in, This indicates the rated capacity (MWh) of the energy storage device.

[0070] Similarly, the total discharge capacity corresponding to the actual depth of discharge. for: .

[0071] During this discharge process, the actual discharge capacity of the energy storage device was: This discharge process corresponds to the intermediate discharge period; therefore, the actual discharge capacity of the energy storage device is... It can be represented as:

[0072] For the actual discharge capacity is Converting it to the discharge condition with rated discharge depth, the corresponding equivalent discharge capacity satisfy: ,Right now .

[0073] The cost of the energy storage device is (e.g., purchase price), then the cost of loss to the energy storage device during this discharge process. This is equivalent to releasing the equivalent discharge capacity under discharge conditions with the rated discharge depth. The cost of loss. That is: .

[0074] Where, substituting into the fitted result ,but: ; Right now: .

[0075] Furthermore, the actual discharge depth of the energy storage device during this discharge process... The actual discharge capacity of the energy storage device during this discharge process is [missing information]. With the rated capacity of the energy storage device The ratio, i.e. Therefore, loss cost for: .

[0076] Actual depth of discharge The larger the size, the higher the cost of wear and tear. The higher.

[0077] in, This indicates the actual depth of discharge of the energy storage device during this discharge process. Indicates the rated depth of discharge of the energy storage device. This indicates the rated number of charge-discharge cycles corresponding to the rated depth of discharge. Indicates the cost of the energy storage device; , These are fixed fitting coefficients in the nonlinear mapping function corresponding to the depth of discharge of the energy storage device and the number of charge-discharge cycles. In this embodiment, preferably, , .

[0078] Step C4: Search for the middle discharge period when the absolute value of the difference between the electricity purchase cost and the discharge loss cost of the energy storage device is within a preset tolerance range, and determine the cumulative discharge capacity corresponding to this discharge period as the undetermined discharge capacity of the energy storage device in the candidate discharge period.

[0079] Preferably, for any intermediate discharge period, after determining its corresponding mains power purchase cost and energy storage device loss cost, the two costs can be compared to determine the intermediate discharge periods with equal costs. Here, cost equality is not absolute; as long as the difference between the two costs is within a preset tolerance range, they are considered equal. For intermediate discharge periods with equal costs, their corresponding actual discharge capacity can be determined. The actual discharge capacity This can be used as the undetermined discharge capacity corresponding to the candidate discharge period to determine the final target discharge capacity; when there are multiple candidate discharge intervals that satisfy the equality of loss cost and electricity purchase cost, the discharge interval with the smallest cost difference is selected as the final discharge interval.

[0080] S4. When the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, the corresponding candidate discharge period is taken as the target discharge period. Valid discharge periods are selected within the discharge interval corresponding to the target discharge period, and the target discharge capacity is determined. The valid discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price within the discharge interval. Since the price of mains electricity fluctuates, if the actual amount of electricity is less than the predetermined discharge amount when the prices of the two are balanced, then using energy storage devices to power electrical equipment can be cheaper than directly using mains electricity.

[0081] Furthermore, if the pending discharge capacity is greater than the minimum discharge capacity, it means that a discharge operation can be performed during the candidate discharge period, that is, the energy storage device provides the electrical equipment with the additional power it needs, and the candidate discharge period is taken as the target discharge period.

[0082] Furthermore, the amount of electricity that the energy storage device needs to release is determined, i.e., the target discharge amount; wherein, in order to ensure that the cost of discharging operation with the target discharge amount is lower, the target discharge amount needs to not exceed the undetermined discharge amount.

[0083] Optionally, since frequent charging and discharging will reduce the lifespan of the energy storage device, a limit on the number of charging and discharging cycles allowed for the energy storage device within a future time period can also be set. Specifically, selecting the corresponding candidate discharge period as the target discharge period may include steps C1 to C3.

[0084] Step C1: Analyze the candidate discharge periods when the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device; Step C2: If, within a future time period, the number of candidate discharge periods where the undetermined discharge capacity exceeds the minimum discharge threshold of the energy storage device is not greater than the preset maximum number of discharges of the energy storage device within the scheduling cycle. M Then all candidate discharge periods will be taken as the target discharge period.

[0085] Step C2: If, within a future time period, the number of candidate discharge periods where the undetermined discharge capacity exceeds the minimum discharge threshold of the energy storage device is greater than the preset maximum number of discharges of the energy storage device within the scheduling cycle... M Then select up to [number] from them. M The candidate discharge periods are selected as the target discharge periods.

[0086] The maximum number of discharges allowed by the energy storage device within a future time period is preset; for example, if the future time period is one day, the maximum number of discharges could be 1, 2, 3, etc. If the number of candidate discharge periods with a predetermined discharge capacity exceeds the minimum discharge capacity, and this number exceeds the maximum number of discharges, then at most the candidate discharge periods with the maximum number of discharges can be selected as the target discharge period for subsequent discharge operations. The optimal target discharge period can be selected based on cost, and the specific selection can be determined based on actual circumstances.

[0087] The step of selecting effective discharge periods within the discharge interval corresponding to the target discharge period and determining the target discharge capacity may include steps D1 to D4.

[0088] Step D1: Determine the highest time point corresponding to the highest mains electricity price within the discharge range.

[0089] Step D2: For any time point within the discharge interval k Determine the purchase cost of providing additional electricity to electrical equipment based on mains power. And the cost of losses corresponding to the additional electricity required by the energy storage device to release power to the power-consuming equipment. .

[0090] Step D3: The time point when the cost of the lost sub-sub is no greater than the cost of the purchased sub-sub ...

[0091] Step D4: Determine the target discharge capacity based on the additional power required by the electrical equipment during the effective discharge period.

[0092] In this embodiment, the purchase cost is determined from the candidate discharge periods. With loss cost After equal intermediate discharge periods, due to the fluctuation of mains electricity prices, it may be more advantageous to use mains electricity for power supply at some points during the intermediate discharge period (when mains electricity prices are lower), and more advantageous to use energy storage devices for power supply at other points (when mains electricity prices are higher). Therefore, it is possible to further determine the period during which the battery can provide the best power supply, and thus determine the corresponding target discharge capacity.

[0093] Specifically, for any point in time during this intermediate discharge period k (This is understandable, and also refers to a future point in time.) It can be determined that at that point in time... k The price of electricity Based on this calculation, at that time point k The cost of supplying additional electricity to electrical equipment from the mains power grid, i.e., the cost of purchasing the sub-equipment. That's understandable. .

[0094] And, at that point in time k The amount of electricity (discharge capacity) required by the energy storage device is: .

[0095] Because the actual discharge capacity supplied by the energy storage device during this intermediate discharge period is The corresponding total loss cost is Based on this, the cost of loss per unit of electricity can be estimated, i.e. Therefore, the loss sub-cost at time point k can be determined. for: .

[0096] in, For a future point in time k The price of electricity from the grid, The time interval between two adjacent future time points; This represents the maximum discharge power of the energy storage device. For at a certain point in time k The power generation capacity of wind power generation devices, For at a certain point in time k The power generation capacity of photovoltaic power generation devices For at a certain point in time k The operating power required by electrical equipment; This represents the actual discharge capacity of the energy storage device during the intermediate discharge period. The cost of losses corresponding to the actual discharge capacity of the energy storage device.

[0097] For that point in time k If the cost of loss is Less than or equal to the cost of purchasing the sub-item This indicates that at that point in time... k Using energy storage batteries for power is superior, therefore this time point can be considered. k As an effective time point, a time period can be formed based on multiple consecutive effective time points within this intermediate time period. If this time period includes the highest time point corresponding to the highest grid electricity price, it means that using the energy storage device to discharge during this time period can avoid purchasing grid electricity during peak periods as much as possible, thereby minimizing discharge costs. Therefore, this time period can be taken as the finally determined discharge time period, i.e., the effective discharge time period. Furthermore, the additional electricity required by the electrical equipment during this effective discharge time period can be used as the target discharge amount. After the effective discharge time period is reached, the energy storage device can be controlled to release the target discharge amount.

[0098] S5. During the scheduling cycle, when the target charging period is reached, the energy storage device is controlled to charge; when the effective discharge period is reached, the energy storage device is controlled to discharge according to the target discharge capacity.

[0099] In this embodiment, based on the analysis and processing of S1 to S4, the target charging period during which charging operations are allowed to be performed and the effective discharging period during which discharging operations are allowed can be determined in advance within a future time period.

[0100] Furthermore, if the current time reaches the target charging period, a charging operation can be performed on the energy storage device to store the remaining usable electricity from the wind power generation and photovoltaic power generation devices for subsequent use. Similarly, if the current time reaches the effective discharge period, a discharging operation can be performed on the energy storage device, with the discharge amount being the target discharge amount, to ensure the economy and rationality of the discharge process. When the grid electricity price is high, the energy storage device will supply power, realizing peak-valley arbitrage.

[0101] This invention provides a control method for energy storage devices in an integrated energy station. Based on a predictive model, the power of each device in the integrated energy station is predicted to determine potential charging and discharging periods for the energy storage devices in the future. Combining grid electricity prices and the energy storage device's loss costs, discharge periods are selected. This allows for the generation of charging and discharging control strategies for the energy storage devices in advance based on the prediction results, avoiding frequent charging and discharging or deep cycling, thus improving the lifespan of the energy storage devices by approximately 20% to 30%. Furthermore, by comprehensively determining the appropriate discharge capacity based on grid electricity prices and the energy storage device's loss costs, the intermittent and fluctuating wind and solar power output can be mitigated, reducing grid connection impacts. Additionally, based on changing grid electricity price signals, the charging and discharging strategies of the energy storage devices can be optimized to achieve off-peak charging and peak-peak discharging, further reducing electricity costs.

[0102] The control method and process of the energy storage device in the integrated energy station have been described in detail above. This method can also be implemented by a corresponding device. The structure and function of the device will be described in detail below.

[0103] Based on the same inventive concept, embodiments of the present invention also provide a control device for an energy storage device in an integrated energy station, the device comprising: The prediction module is used to obtain the predicted sequence of new energy power generation and load power of the integrated energy station. Based on the difference between power generation and load power at each time, it divides the candidate charging period and candidate discharging period of the energy storage device. The candidate time period segmentation module obtains the predicted sequences of new energy power generation and load power of the integrated energy station, and divides the candidate charging time period and candidate discharging time period of the energy storage device based on the difference between power generation and load power at each time. The target charging period screening module determines the candidate charging period as the target charging period if, within the candidate charging period, the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity. The module for determining the undetermined discharge capacity, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device during the candidate discharge period, then selects a discharge interval based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, and determines the cumulative discharge capacity corresponding to the discharge interval as the undetermined discharge capacity. The effective discharge period screening module, when the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, takes the corresponding candidate discharge period as the target discharge period, screens the effective discharge period within the discharge interval corresponding to the target discharge period, and determines the target discharge capacity; the effective discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price in the discharge interval. The energy storage scheduling execution module controls the energy storage device to charge when the target charging period is reached during the scheduling cycle, and controls the energy storage device to discharge according to the target discharge amount when the effective discharge period is reached.

[0104] This invention also provides a computer storage medium storing computer-executable instructions, including a program for executing the control method of the energy storage device in the integrated energy station described above. The computer-executable instructions can execute the method in any of the above method embodiments.

[0105] The computer storage medium can be any available medium or data storage device that a computer can access, including but not limited to magnetic storage (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical storage (e.g., CD, DVD, BD, HVD), and semiconductor storage (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)).

[0106] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0107] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example, but not limited to, electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination thereof. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0108] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0109] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A control method for an energy storage device in an integrated energy station, characterized in that, The method includes the following steps: S1. Obtain the predicted sequence of new energy power generation and load power of the integrated energy station, and divide the candidate charging period and candidate discharging period of the energy storage device based on the difference between power generation and load power at each time. S2. During the candidate charging period, if the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity, then the candidate charging period is determined as the target charging period. S3. During the candidate discharge period, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device, then based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, a discharge interval is selected, and the cumulative discharge power corresponding to the discharge interval is determined as the undetermined discharge power. S4. When the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, the corresponding candidate discharge period is taken as the target discharge period. Within the discharge interval corresponding to the target discharge period, an effective discharge period is selected, and the target discharge capacity is determined. The effective discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the grid power purchase cost and covers the moment with the highest electricity price in the discharge interval. S5. During the scheduling cycle, when the target charging period is reached, the energy storage device is controlled to charge; when the effective discharge period is reached, the energy storage device is controlled to discharge according to the target discharge capacity.

2. The control method for the energy storage device in the integrated energy station according to claim 1, characterized in that: In S1, the candidate charging period and candidate discharging period of the energy storage device are determined as follows: the continuous period in which the difference between the new energy power generation and the load power is continuously greater than 0 within the scheduling cycle is determined as the candidate charging period; the continuous period in which the difference between the new energy power generation and the load power is continuously less than 0 is determined as the candidate discharging period.

3. The control method for the energy storage device in the integrated energy station according to claim 1, characterized in that: In S3, the discharge interval is selected by: traversing each intermediate discharge period within the candidate discharge period, calculating the mains power purchase cost and the energy storage device discharge loss cost for each intermediate discharge period; and selecting the intermediate discharge period where the absolute value of the difference between the power purchase cost and the energy storage device discharge loss cost is less than a preset cost difference threshold as the discharge interval.

4. The control method for the energy storage device in the integrated energy station according to claim 3, characterized in that: The discharge loss cost of the energy storage device is determined based on the actual discharge depth of the energy storage device during the discharge process, specifically as follows: ;in, This represents the loss cost corresponding to the actual discharge depth of the energy storage device during this discharge process. This represents the actual depth of discharge of the energy storage device during this discharge process; The rated depth of discharge of the energy storage device; The rated number of charge-discharge cycles corresponding to the rated depth of discharge; Cost of purchasing energy storage devices; , These are the fixed fitting coefficients in the nonlinear mapping function corresponding to the depth of discharge and the number of charge-discharge cycles of the energy storage device.

5. The control method for the energy storage device in the integrated energy station according to claim 3, characterized in that: The specific costs of purchasing mains electricity during each intermediate discharge period are as follows: in, This is the start time point of the intermediate discharge period. This is the end time point of the intermediate discharge period. For future time points t The corresponding electricity price The time interval between two adjacent future time points; This represents the maximum discharge power of the energy storage device. For future time points t Corresponding to the power generation capacity of new energy sources, For future time points t The corresponding load power.

6. The control method for the energy storage device in the integrated energy station according to claim 4, characterized in that: In S4, when selecting effective discharge periods within the discharge interval, the discharge loss cost of the energy storage device at each moment is determined as follows: in, For future time points k The corresponding discharge loss cost of the energy storage device; This represents the maximum discharge power of the energy storage device. For future time points k Corresponding new energy power generation capacity, For future time points k Corresponding load power; The actual discharge capacity of the energy storage device within the discharge range. The total discharge loss cost of the energy storage device within the discharge range.

7. The control method for the energy storage device in the integrated energy station according to claim 1, characterized in that: In S4, the step of using the corresponding candidate discharge period as the target discharge period specifically includes: Analyze candidate discharge periods where the undetermined discharge capacity exceeds the minimum discharge threshold of the energy storage device. If the number of such candidate discharge periods is not greater than... M If all of them are selected, then all of them are determined as the target discharge period; otherwise, at most one of them is selected. M One candidate discharge period is selected as the target discharge period; among them... M The maximum number of discharges for the energy storage device is preset within the scheduling cycle.

8. A control device for an energy storage device in an integrated energy station based on the method of any one of claims 1-7, comprising a candidate time period division module, a target charging time period screening module, a pending discharge capacity calculation module, an effective discharge time period screening module, and an energy storage scheduling execution module, characterized in that: The candidate time period segmentation module obtains the predicted sequences of new energy power generation and load power of the integrated energy station, and divides the candidate charging time period and candidate discharging time period of the energy storage device based on the difference between power generation and load power at each time. The target charging period screening module determines the candidate charging period as the target charging period if, within the candidate charging period, the difference between the new energy power generation and the load power consumption is greater than the minimum charging threshold of the energy storage device, and the current power of the energy storage device has not reached the upper limit of the energy storage capacity. The module for determining the undetermined discharge capacity, if the difference between the load power consumption and the new energy power generation is greater than the minimum discharge threshold of the energy storage device during the candidate discharge period, then selects a discharge interval based on the discharge loss cost of the energy storage device and the grid power purchase cost corresponding to the difference, and determines the cumulative discharge capacity corresponding to the discharge interval as the undetermined discharge capacity. The effective discharge period screening module, when the undetermined discharge capacity is greater than the minimum discharge threshold of the energy storage device, takes the corresponding candidate discharge period as the target discharge period, screens the effective discharge period within the discharge interval corresponding to the target discharge period, and determines the target discharge capacity. The effective discharge period is the longest continuous period in which the discharge loss cost of the energy storage device at each moment does not exceed the cost of purchasing electricity from the grid, and covers the moment with the highest electricity price within the discharge interval. The energy storage scheduling execution module controls the energy storage device to charge when the target charging period is reached during the scheduling cycle, and controls the energy storage device to discharge according to the target discharge amount when the effective discharge period is reached.

9. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1-7.

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