Energy storage power station power distribution method and system based on state of charge

Abstract

This invention discloses a power allocation method for an energy storage power station based on state of charge (SOC). The method includes: acquiring data information of a target energy storage power station; classifying the states of each battery cell within the target energy storage power station and calculating the corresponding target average SOC value; receiving dispatch instructions from the power system and calculating the total output power of the target energy storage power station; allocating power to each battery cell based on its current state; updating the historical state records of each battery cell within the target energy storage power station; and repeating the above steps to complete the SOC-based power allocation for the target energy storage power station. This invention also discloses a system for implementing the aforementioned SOC-based power allocation method for an energy storage power station. This invention not only achieves power allocation for the target energy storage power station but also offers higher reliability and better accuracy.

Description

Technical Field

[0001] This invention belongs to the field of electrical automation, specifically relating to a power allocation method and system for energy storage power stations based on state of charge. Background Technology

[0002] With economic and technological development and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and daily life, bringing endless convenience. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Currently, an increasing number of new energy power generation systems are being integrated into the power grid and generating electricity. However, the randomness and intermittency of these systems' output pose significant challenges to the safe and stable operation of the power system. Energy storage power stations play a crucial role in balancing grid load and improving the absorption capacity of renewable energy. Therefore, ensuring the safe and stable operation of energy storage power stations is of paramount importance.

[0004] Currently, power allocation schemes within energy storage power stations often employ a standard, uniform allocation approach. While simple, this approach lacks fine-grained management of the individual state of charge (SOC) differences among battery cells within the power station, making it difficult to achieve dynamic power allocation based on the SOC of individual cells or zones. Especially when battery banks experience communication anomalies or SOC fluctuations, existing schemes struggle to guarantee the continuity, stability, and security of the allocation strategy, and also fail to improve the overall energy balance and power response efficiency of the energy storage system. Summary of the Invention

[0005] One of the objectives of this invention is to provide a reliable and accurate power allocation method for energy storage power stations based on state of charge.

[0006] The second objective of this invention is to provide a system for implementing the power allocation method of the energy storage power station based on the state of charge.

[0007] The power allocation method for energy storage power stations based on state of charge provided by this invention includes the following steps:

[0008] S1. Obtain data information from the target energy storage power station;

[0009] S2. Based on the data obtained in step S1, divide the state of each battery cell in the target energy storage power station and calculate the corresponding target average state of charge value.

[0010] S3. Receive the dispatch instructions from the power system and calculate the total output power of the target energy storage power station;

[0011] S4. Based on the data obtained in step S3, and combined with the current status of each battery cell in the target energy storage power station, perform power allocation for each battery cell;

[0012] S5. Update the historical status records of each battery cell within the target energy storage power station;

[0013] S6. Repeat the above steps to complete the state-of-charge-based power allocation for the target energy storage power station.

[0014] Step S1, which involves acquiring data information of the target energy storage power station, specifically includes the following steps:

[0015] Obtain data information from the target energy storage power station;

[0016] The data information includes the current state of charge of each battery cell in the target energy storage power station and the total number of battery cells in the target energy storage power station.

[0017] The following steps are used to obtain the current state of charge (SOC) value of each battery cell in the target energy storage power station:

[0018] The state of charge of each battery cell is collected and represented as follows: ,in Let t be the state of charge of the i-th battery cell at time t; This represents the total number of battery cells;

[0019] After data collection, the state of charge of each battery cell is corrected using the following formula:

[0020] In the formula This represents the corrected state of charge of the i-th battery cell at time t. The set correction factor; Let be the consistency correction coefficient for the i-th battery cell at time t, used to correct the SOC acquisition deviation caused by differences in capacity and internal resistance of the battery cells. , Let be the real-time available capacity of the i-th battery cell at time t. Let i be the rated capacity of the i-th battery cell. Let be the reference internal resistance of the i-th battery cell. Let be the real-time internal resistance of the i-th battery cell at time t.

[0021] Step S2, which involves classifying the states of each battery cell within the target energy storage power station based on the data obtained in step S1 and calculating the corresponding target average state of charge value, specifically includes the following steps:

[0022] Based on the state of charge values ​​of each battery cell in the target energy storage power station obtained in step S1 The mean value of the state of charge was calculated. for The standard deviation of the state of charge was calculated. for ;

[0023] Calculate the dynamic upper limit threshold for The dynamic lower limit threshold is calculated. for ;in, The distribution tensor factor is set;

[0024] State division is performed on each battery cell in the target energy storage power station: if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the high-state interval; if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the low-state interval; if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the intermediate state interval;

[0025] For the g-th state interval, the mean value of the charged state of the interval is calculated. for ,in Let be the total number of battery cells in the g-th state interval. It is the set of battery cells within the g-th state interval;

[0026] The target average state-of-charge value for the g-th state interval is calculated. for ,in The set adjustment factor.

[0027] Step S3, which involves receiving the dispatch instructions from the power system and calculating the total output power of the target energy storage power station, specifically includes the following steps:

[0028] Receive dispatch instructions from the power system and obtain raw power instructions. ;

[0029] The total output power of the target energy storage power station was calculated. for ,in The set execution ratio factor, This is the set reference state of charge base value.

[0030] Step S4, which involves allocating power to each battery cell based on the data obtained in step S3 and the current state of each battery cell within the target energy storage power station, specifically includes the following steps:

[0031] The charge state difference of the g-th state interval is calculated. for ;

[0032] The assigned weights for the g-th state interval are calculated. for ,in The sensitivity adjustment factor is set.

[0033] Based on the obtained allocation weights The power distribution value of each battery cell is calculated using the following formula:

[0034] In the formula This represents the power allocation value for the i-th battery cell; Indicates will The value is limited within the range Inside; The power allocation value for the i-th unlimited battery cell; This represents the minimum allowable power (discharge lower limit / charge negative limit) of the i-th battery cell. The maximum allowable power (charging limit / discharging limit) of the i-th battery cell. The total number of battery cells in the g-th state interval.

[0035] Step S4 further includes the following steps:

[0036] When the communication of the i-th battery cell fails, the equivalent state of charge (ESC) value of the i-th battery cell is calculated using the following formula. :

[0037] In the formula Let be the communication anomaly state variable for the i-th battery cell. If the communication state of the i-th battery cell is abnormal, then... If the communication status of the i-th battery cell is normal, then... ; The mean state of charge of the interval after removing the i-th battery cell is... ;

[0038] The state of charge (SOC) value of the i-th battery cell is considered as the equivalent SOC value. And perform power allocation for the i-th battery cell.

[0039] Step S5, which involves updating the historical status records of each battery cell within the target energy storage power station, specifically includes the following steps:

[0040] Constructing the historical state matrix for , This represents the power allocation value for the i-th battery cell;

[0041] The following formula is used to update the historical state records of each battery cell within the target energy storage power station:

[0042] In the formula This is the set time decay coefficient.

[0043] This invention also provides a system for implementing the power allocation method for energy storage power stations based on the state of charge (SOC) of the aforementioned system, comprising a data acquisition module, a state division module, an instruction calculation module, a power calculation module, a state update module, and a power allocation module; the data acquisition module, state division module, instruction calculation module, power calculation module, state update module, and power allocation module are connected in series; the data acquisition module is used to acquire data information of the target energy storage power station and upload the data information to the state division module; the state division module is used to divide the state of each battery cell in the target energy storage power station according to the received data information and the acquired data information, calculate the corresponding target average SOC value, and upload the data information to the instruction calculation module; the instruction calculation module is used to calculate the state of each battery cell in the target energy storage power station according to the received data information. The system receives dispatch instructions from the power system, calculates the total output power of the target energy storage power station, and uploads the data to the power calculation module. The power calculation module allocates power to each battery unit based on the received data, the data obtained in the previous step, and the current state of each battery unit in the target energy storage power station, and uploads the data to the state update module. The state update module updates the historical state records of each battery unit in the target energy storage power station based on the received data and uploads the data to the power allocation module. The power allocation module repeats the work of the data acquisition module, state division module, instruction calculation module, power calculation module, and state update module based on the received data to complete the state-of-charge power allocation of the target energy storage power station.

[0044] The power allocation method and system for energy storage power stations based on state of charge provided by this invention not only achieves power allocation for the target energy storage power station by comprehensively considering the state of charge of each battery cell in the target energy storage power station, but also has higher reliability and better accuracy. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0046] Figure 2 This is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0047] like Figure 1 The diagram shown is a flowchart of the method of the present invention: The power allocation method for energy storage power stations based on state of charge disclosed in this invention includes the following steps:

[0048] S1. Obtain data information from the target energy storage power station; specifically including the following steps:

[0049] Obtain data information from the target energy storage power station;

[0050] The data information includes the current state of charge of each battery cell in the target energy storage power station and the total number of battery cells in the target energy storage power station.

[0051] In practice, the following steps are used to obtain the current state of charge (SOC) value of each battery cell in the target energy storage power station:

[0052] The state of charge of each battery cell is collected and represented as follows: ,in Let t be the state of charge of the i-th battery cell at time t; This represents the total number of battery cells;

[0053] After data collection, the state of charge of each battery cell is corrected using the following formula:

[0054] In the formula This represents the corrected state of charge of the i-th battery cell at time t. The set correction factor; Let be the consistency correction coefficient for the i-th battery cell at time t, used to correct the SOC acquisition deviation caused by differences in capacity and internal resistance of the battery cells. , Let be the real-time available capacity of the i-th battery cell at time t. Let i be the rated capacity of the i-th battery cell. Let be the reference internal resistance of the i-th battery cell. Let t be the real-time internal resistance of the i-th battery cell at time t; the state of charge values ​​obtained in this process are consistent and have strong anti-interference properties, providing a stable data foundation for subsequent interval division and dynamic power allocation;

[0055] S2. Based on the data obtained in step S1, classify the states of each battery cell in the target energy storage power station and calculate the corresponding target average state of charge value; specifically including the following steps:

[0056] Based on the state of charge values ​​of each battery cell in the target energy storage power station obtained in step S1 The mean value of the state of charge was calculated. for The standard deviation of the state of charge was calculated. for ;

[0057] Calculate the dynamic upper limit threshold for The dynamic lower limit threshold is calculated. for ;in, The distribution tensor factor is set;

[0058] State division is performed on each battery cell in the target energy storage power station: if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the high-state interval; if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the low-state interval; if the state of charge value of the i-th battery cell satisfies If the i-th battery cell is divided into the intermediate state interval, the threshold construction method ensures that the division result is consistent with the real-time state of charge distribution, and achieves a sensitive response to the overall state trend through the dynamic boundary formed by the mean and standard deviation, so that the interval division has stability, discriminability and real-time performance, and provides a strict grouping basis for subsequent target average state setting and power allocation.

[0059] For the g-th state interval, the mean value of the charged state of the interval is calculated. for ,in Let be the total number of battery cells in the g-th state interval. It is the set of battery cells within the g-th state interval;

[0060] The target average state-of-charge value for the g-th state interval is calculated. for ,in The set adjustment factor (to make the target average state of charge take into account both the consistency within the interval and the global energy balance target). The purpose of this setting is to enable the subsequent power allocation based on the difference to not only respond to the actual state deviation within the interval, but also to promote the convergence of the charge state of the entire station towards global equilibrium, thereby improving the stability of the allocation strategy and the system life benefits.

[0061] S3. Receive the dispatch instructions from the power system and calculate the total output power of the target energy storage power station; specifically, this includes the following steps:

[0062] Receive dispatch instructions from the power system and obtain raw power instructions. ;

[0063] The total output power of the target energy storage power station was calculated. for ,in The set execution ratio factor, The reference state of charge is set as the baseline value. In this step, when the global state of charge deviates from the baseline, the output power is suppressed in the analysis stage, thereby avoiding the risk of over-discharge or over-charging when the overall energy level of the battery pack is insufficient or too high. This forms a pre-constraint on the power execution process, ensuring that the total power command has safety, consistency and adaptability before entering the subsequent interval power allocation stage, and building a robust power input foundation for the dynamic allocation strategy.

[0064] S4. Based on the data obtained in step S3, and combined with the current state of each battery cell in the target energy storage power station, perform power allocation for each battery cell; specifically including the following steps:

[0065] The charge state difference of the g-th state interval is calculated. for ;

[0066] The assigned weights for the g-th state interval are calculated. for ,in The sensitivity adjustment factor is set.

[0067] Based on the obtained allocation weights The power distribution value of each battery cell is calculated using the following formula:

[0068] In the formula This represents the power allocation value for the i-th battery cell; Indicates will The value is limited within the range Internally, in specific implementation, when hour ,when hour ,when hour ; The power allocation value for the i-th unlimited battery cell; This represents the minimum allowable power (discharge lower limit / charge negative limit) of the i-th battery cell. The maximum allowable power (charging limit / discharging limit) of the i-th battery cell. The total number of battery cells in the g-th state interval;

[0069] The weighting gives a larger proportion to the intervals with larger differences in subsequent power allocation. The weighting structure ensures that the sum of the weights of all intervals is one, so that the difference-driven allocation has a power-law amplification effect in magnitude and maintains the overall power consistency. The purpose is to amplify the correction capability of the key interval through adjustable nonlinear response, and improve the overall state of charge convergence rate and allocation stability.

[0070] Furthermore, when the communication of the i-th battery cell fails, the equivalent state of charge (ESC) value of the i-th battery cell is calculated using the following formula. :

[0071] In the formula Let be the communication anomaly state variable for the i-th battery cell. If the communication state of the i-th battery cell is abnormal, then... If the communication status of the i-th battery cell is normal, then... ; The mean state of charge of the interval after removing the i-th battery cell is... ;

[0072] The state of charge (SOC) value of the i-th battery cell is considered as the equivalent SOC value. The replacement and recalculation process ensures that abnormal communication cells do not introduce instantaneous deviations and maintain the consistency of interval energy statistics, thereby avoiding erroneous power allocation due to communication abnormalities in subsequent power allocation driven by difference, and improving the robustness and operational safety of the allocation strategy.

[0073] S5. Update the historical status records of each battery cell within the target energy storage power station; specifically including the following steps:

[0074] Constructing the historical state matrix for , This represents the power allocation value for the i-th battery cell;

[0075] The following formula is used to update the historical state records of each battery cell within the target energy storage power station:

[0076] In the formula The set time decay coefficient;

[0077] This scheme enables continuous accumulation and dynamic correction of historical states, so that the historical records of each battery cell not only reflect the current power execution status, but also smoothly reflect recent changes in state of charge, thereby providing data support and trend reference for the next round of power allocation, and improving the continuity, traceability and control accuracy of the power allocation strategy.

[0078] S6. Repeat the above steps to complete the state-of-charge-based power allocation for the target energy storage power station.

[0079] This invention improves the accuracy and stability of state-of-charge (SOC) data by precisely collecting and correcting anomalies in the SOC of each battery cell within the energy storage power station, providing a reliable foundation for dynamic power allocation. Through a three-segment interval division based on the global mean and standard deviation, the high, medium, and low SOC intervals reflect the real-time SOC distribution of the battery group, enabling zoned management and differentiated control. A unified target average SOC value is calculated for each SOC interval, and combined with a global equilibrium adjustment factor, achieving consistency within the interval and overall station energy balance, thus improving battery life and energy utilization. The total power is dynamically determined based on grid dispatch instructions and the overall SOC of the energy storage power station. This system achieves adaptive matching between power input and power plant capability, ensuring output safety and reliability. The difference-driven interval power allocation method enables higher power adjustment in intervals with large charge deviations, achieving rapid correction and equalization convergence, and improving the response speed and accuracy of the allocation strategy. The abnormal communication data processing mechanism improves the robustness of power allocation by using interval average states instead of individual abnormal values, preventing misallocation caused by data anomalies and ensuring safe system operation. The synchronous update of historical state records, combined with a time decay mechanism, enables continuous data tracking and trend reference, providing data support for the next round of power allocation and enhancing the continuity and traceability of the strategy.

[0080] like Figure 2The diagram shows the functional modules of the system of the present invention: The system disclosed in this invention for implementing the power allocation method for an energy storage power station based on the state of charge includes a data acquisition module, a state division module, an instruction calculation module, a power calculation module, a state update module, and a power allocation module; these modules are connected in series. The data acquisition module acquires data information of the target energy storage power station and uploads it to the state division module. The state division module, based on the received and acquired data information, divides the state of each battery cell within the target energy storage power station, calculates the corresponding target average state of charge value, and uploads the data to the instruction calculation module. The instruction calculation module, based on the received and acquired data information, divides the state of each battery cell within the target energy storage power station, calculates the corresponding target average state of charge value, and uploads the data to the instruction calculation module. The instruction calculation module is used to... The system receives data information, receives dispatch instructions from the power system, calculates the total output power of the target energy storage power station, and uploads the data information to the power calculation module. The power calculation module is used to allocate power to each battery unit based on the received data information, the data obtained in the previous step, and the current state of each battery unit in the target energy storage power station, and uploads the data information to the state update module. The state update module is used to update the historical state records of each battery unit in the target energy storage power station based on the received data information, and uploads the data information to the power allocation module. The power allocation module is used to repeat the work of the data acquisition module, state division module, instruction calculation module, power calculation module, and state update module based on the received data information to complete the power allocation of the target energy storage power station based on the state of charge.

Claims

1. A power allocation method for an energy storage power station based on state of charge, comprising the following steps: S1. Obtain data information from the target energy storage power station; S2. Based on the data obtained in step S1, divide the state of each battery cell in the target energy storage power station and calculate the corresponding target average state of charge value. S3. Receive the dispatch instructions from the power system and calculate the total output power of the target energy storage power station; S4. Based on the data obtained in step S3, and combined with the current status of each battery cell in the target energy storage power station, perform power allocation for each battery cell; S5. Update the historical status records of each battery cell within the target energy storage power station; S6. Repeat the above steps to complete the state-of-charge-based power allocation for the target energy storage power station.

2. The power allocation method for energy storage power stations based on state of charge as described in claim 1, characterized in that... Step S1, which involves acquiring data information of the target energy storage power station, specifically includes the following steps: Obtain data information from the target energy storage power station; The data information includes the current state of charge of each battery cell in the target energy storage power station and the total number of battery cells in the target energy storage power station.

3. The power allocation method for energy storage power stations based on state of charge as described in claim 2, characterized in that... The following steps are used to obtain the current state of charge (SOC) value of each battery cell in the target energy storage power station: The state of charge of each battery cell is collected and represented as follows: ,in Let t be the state of charge of the i-th battery cell at time t; This represents the total number of battery cells; After data collection, the state of charge of each battery cell is corrected using the following formula: In the formula This represents the corrected state of charge of the i-th battery cell at time t. The set correction factor; Let be the consistency correction coefficient for the i-th battery cell at time t, and , Let be the real-time available capacity of the i-th battery cell at time t. Let i be the rated capacity of the i-th battery cell. Let be the reference internal resistance of the i-th battery cell. Let be the real-time internal resistance of the i-th battery cell at time t.

4. The power allocation method for energy storage power stations based on state of charge as described in claim 3, characterized in that... Step S2, which involves classifying the states of each battery cell within the target energy storage power station based on the data obtained in step S1 and calculating the corresponding target average state of charge value, specifically includes the following steps: Based on the state of charge values ​​of each battery cell in the target energy storage power station obtained in step S1 The mean value of the state of charge was calculated. for The standard deviation of the state of charge was calculated. for ; Calculate the dynamic upper limit threshold for The dynamic lower limit threshold is calculated. for ;in, The distribution tensor factor is set; State division is performed on each battery cell in the target energy storage power station: if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the high-state interval; if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the low-state interval; if the state of charge value of the i-th battery cell satisfies Then the i-th battery cell is divided into the intermediate state interval; For the g-th state interval, the mean value of the charged state of the interval is calculated. for ,in Let be the total number of battery cells in the g-th state interval. It is the set of battery cells within the g-th state interval; The target average state-of-charge value for the g-th state interval is calculated. for ,in The set adjustment factor.

5. The power allocation method for an energy storage power station based on state of charge as described in claim 4, characterized in that... Step S3, which involves receiving the dispatch instructions from the power system and calculating the total output power of the target energy storage power station, specifically includes the following steps: Receive dispatch instructions from the power system and obtain raw power instructions. ; The total output power of the target energy storage power station was calculated. for ,in The set execution ratio factor, This is the set reference state of charge base value.

6. The power allocation method for an energy storage power station based on state of charge as described in claim 5, characterized in that... Step S4, which involves allocating power to each battery cell based on the data obtained in step S3 and the current state of each battery cell within the target energy storage power station, specifically includes the following steps: The charge state difference of the g-th state interval is calculated. for ; The assigned weights for the g-th state interval are calculated. for ,in The sensitivity adjustment factor is set. Based on the obtained allocation weights The power distribution value of each battery cell is calculated using the following formula: In the formula This represents the power allocation value for the i-th battery cell; Indicates will The value is limited within the range Inside; The power allocation value for the i-th unlimited battery cell; This represents the minimum allowable power of the i-th battery cell; This represents the maximum allowable power of the i-th battery cell; The total number of battery cells in the g-th state interval.

7. The power allocation method for energy storage power stations based on state of charge as described in claim 6, characterized in that... Step S4 further includes the following steps: When the communication of the i-th battery cell fails, the equivalent state of charge (ESC) value of the i-th battery cell is calculated using the following formula. : In the formula Let be the communication anomaly state variable for the i-th battery cell. If the communication state of the i-th battery cell is abnormal, then... If the communication status of the i-th battery cell is normal, then... ; The mean state of charge of the interval after removing the i-th battery cell is... ; The state of charge (SOC) value of the i-th battery cell is considered as the equivalent SOC value. And perform power allocation for the i-th battery cell.

8. The power allocation method for an energy storage power station based on state of charge as described in claim 7, characterized in that... Step S5, which involves updating the historical status records of each battery cell within the target energy storage power station, specifically includes the following steps: Constructing the historical state matrix for , This represents the power allocation value for the i-th battery cell; The following formula is used to update the historical state records of each battery cell within the target energy storage power station: In the formula This is the set time decay coefficient.

9. A system for implementing the power allocation method for an energy storage power station based on state of charge as described in any one of claims 1 to 8, characterized in that... It includes a data acquisition module, a state division module, an instruction calculation module, a power calculation module, a state update module, and a power allocation module; these modules are connected in series. The data acquisition module acquires data information from the target energy storage power station and uploads it to the state division module. The state division module, based on the received and acquired data information, divides the state of each battery cell within the target energy storage power station, calculates the corresponding target average state of charge value, and uploads the data to the instruction calculation module. The instruction calculation module receives dispatch instructions from the power system based on the received data information, calculates the total output power of the target energy storage power station, and uploads the data information to the power calculation module. The power calculation module allocates power to each battery unit based on the received data information, the data obtained in the previous step, and the current state of each battery unit in the target energy storage power station, and uploads the data information to the status update module. The status update module updates the historical status records of each battery unit in the target energy storage power station based on the received data information and uploads the data information to the power allocation module. The power allocation module repeats the work of the data acquisition module, status division module, instruction calculation module, power calculation module, and status update module based on the received data information to complete the power allocation of the target energy storage power station based on the state of charge.

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