A power control method and system based on demand control and backflow prevention control

The power control method and system dynamically adjust energy storage power to prevent increased maximum demand and backflow, optimizing energy storage system operation by real-time load power monitoring and parameter updates.

CN118713139BActive Publication Date: 2024-12-13FOSHAN HECHU ENERGY TECH CO LTD
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Patent Information

Application Number
CN202411192192.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-28
Publication Date
2024-12-13
Estimated Expiration
2044-08-28

AI Technical Summary

Technical Problem

Existing energy storage systems fail to adapt to real-time load power changes, leading to increased maximum demand charges and backflow due to inefficient power regulation, resulting in higher electricity costs for customers.

Method used

A power control method and system that dynamically adjusts energy storage power based on real-time load power monitoring, using parameters A and B to prevent backflow and manage maximum demand, updating these parameters in charging and discharging modes to optimize energy storage system operation.

Benefits of technology

The method effectively reduces the impact of charging on maximum demand and prevents backflow, enhancing the economic efficiency and operation of energy storage systems by aligning power regulation with actual load demands.

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Abstract

The present invention relates to the field of power control technology, and discloses a power control method and system based on demand control and backflow prevention control. The method is applied to an energy storage application system, and based on a set control target, the maximum demand value is updated in real time in each billing cycle. When the energy storage system is charged, according to formula B 0 =B 0 ‑P DELTA For the maximum demand control parameter B 0 To update, P DELTA Indicates P L Change to P LMD Time KM With P LMD When the energy storage system is discharged, according to formula A 0 =A 0 ‑P KM‑MIN Parameter A for prevention and control of backflow 0 To update, P KM‑MIN Indicates load power P L When it is 0, the grid power P KM The present invention monitors the change of user load power in real time, dynamically adjusts the energy storage power, avoids the maximum demand due to charging or reverse current due to discharging, and improves the economic efficiency of the energy storage system operation.
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Description

Technical Field

[0001] The present invention relates to the technical field of power regulation, and in particular to a power regulation method and system based on demand control and backflow prevention control. Background Art

[0002] In an energy storage application system, three main bodies are generally involved: the power grid, the energy storage system and the load. The power grid is the source of energy, supplying energy to the energy storage system and the load. The energy storage system generally operates in a peak shaving and valley filling mode, charging during periods of low electricity prices and discharging during periods of high electricity prices to earn the price difference for customers. The load obtains energy from the power grid and the energy storage system to complete the customer's production tasks.

[0003] Energy storage application system block diagram Figure 1 As shown in the figure, the direction of the arrow is the direction of power flow, the same direction is positive, and the opposite direction is negative. Assume that the power of the grid is P KM , the energy storage power is P S , the load power is P L According to the law of conservation of energy, at any time there exists the equation: P KM = P S + P L The existing technical solutions all monitor the load power changes in real time based on this equation and dynamically adjust the energy storage power P S , ensuring that at any time, the following inequality group holds, where P LMD The maximum demand value generated by the load at the current moment obtained by statistics:

[0004]

[0005] When the customer is not equipped with an energy storage system, there will be no reverse flow, and the customer only needs to pay for the maximum demand P generated by his own load. LMD After the energy storage system is equipped, no matter how fast the sampling speed and power regulation response capability of the energy storage system are, the power regulation of the energy storage system always occurs after the load power changes are detected. KM =0, then P L becomes smaller, reverse flow will occur; or when charging is steady state, P KM =P LMD , at this time, as long as P L If the maximum demand component increases, the charging power of the energy storage system will be included in the maximum demand component. All of these will cause customers to pay more for electricity.

[0006] P LMDRefer to historical data or manually set a smaller insurance value. For example, in a new billing cycle (billing cycle refers to the statistical period in which power companies collect electricity charges from large industrial users, which is generally once a month. The electricity charges collected by power companies include many items, including the active and reactive power charges of the actual electricity consumption of users, as well as other charges such as maximum demand charges), the maximum demand of the previous month is used as a reference value. This method cannot adapt well to the production arrangements of customers. If the customer's production arrangement this month is reduced compared to last month, it means that the number of equipment working at the same time is reduced compared to last month, but the maximum demand is still the same as last month. The energy storage system will think that there is more power margin to charge itself, resulting in the customer paying more demand charges. A smaller insurance value will cause the energy storage system to be unable to fully charge. In summary, the existing method of determining control parameters based on experience cannot effectively play the role of the energy storage system. Summary of the invention

[0007] The purpose of the present invention is to provide a power regulation method and system based on demand control and anti-backflow control, which can monitor the changes in customer load power in real time, dynamically adjust the power of the energy storage system, avoid the problem of maximum demand being increased due to charging and backflow being generated due to discharging, and improve the economy of the operation of the energy storage system.

[0008] To achieve the above object, the present invention provides the following solutions:

[0009] A power control method based on demand control and anti-backflow control is applied to an energy storage application system including a power supply, a load and an energy storage system powered by a power grid, wherein the control target of the energy storage application system is:

[0010]

[0011] Where P KM Represents the grid power, P LMD Indicates the maximum demand value, A and B are both two numbers greater than 0, where A is defined as the backflow prevention and control parameter and B is defined as the maximum demand control parameter; P is used S Represents the energy storage power, P L Indicates load power;

[0012] The power control method comprises the following steps:

[0013] In each billing cycle, real-time statistics and updates of load power P L The corresponding maximum demand value P LMD ;

[0014] When the energy storage system is operating in charging mode, the initial value of parameter B is set to B0. Based on equation P KM = P S + PL +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTA Update B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of

[0015] When the energy storage system is operating in the discharge mode, the initial value of parameter A is set to A0. Based on the equation P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

[0016] Furthermore, the billing period is one month, and in each billing period, the maximum demand value P LMD The initial value of is 0.

[0017] Furthermore, in each billing cycle, the load power P is counted and updated in real time. L The corresponding maximum demand value P LMD , including:

[0018] S101, real-time update of load power P L;

[0019] S102, set the unit time period and calculate the load power P in each unit time period L The average value P LE;

[0020] S103, compare the two average values ​​P in two adjacent unit time periods LE , retain the average value P with a larger value LE As the updated maximum demand value P LMD;

[0021] S104, repeat steps S101-S103 until the billing cycle ends.

[0022] Further, the equation based on P KM = P S + P L +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTA Update B0, including:

[0023] Based on the equation P KM = P S + P L +B0 regulates the energy storage power. After the set time period is run, all P KM With P LMD When the load allows a part of the surplus power to charge the energy storage system, the statistical P KM With P LMD The maximum difference P DELTA , substitute into formula B0' = B0-P DELTA Update B0.

[0024] Further, the equation based on P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, including:

[0025] Based on the equation P KM = P S + P L +A0 regulates the energy storage power, and after running for a set period of time, the load power P is calculated. L When all P KM The value of P is the minimum or the minimum probability value. KM-MIN , substitute into the formula A0' = A0-P KM-MIN Update A0.

[0026] The present invention also provides a power control system based on demand control and anti-backflow control, and the power control method based on demand control and anti-backflow control is applied to execute the above-mentioned power control method based on demand control and anti-backflow control, including:

[0027] The maximum demand value update module is used to count and update the load power P in real time during each billing cycle. L The corresponding maximum demand value P LMD;

[0028] The parameter B correction module is used to set the initial value of parameter B to B0 when the energy storage system is running in charging mode.KM = P S + P L +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTA Update B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of

[0029] Parameter A correction module, when the energy storage system is running in discharge mode, the initial value of parameter A is set to A0, based on equation P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

[0030] According to the specific embodiment provided by the present invention, the power control method and system based on demand control and backflow prevention control provided by the present invention disclose the following technical effects: the control target is determined based on the maximum demand value generated by the load:

[0031]

[0032] Based on this control target, in each billing cycle, the maximum demand value corresponding to the load power is counted and updated in real time, and the maximum demand control parameter B and the reverse flow prevention parameter A are updated and corrected in the charging and discharging modes of the energy storage system respectively. In the process of dynamically adjusting the energy storage power, the most suitable parameter conditions are obtained to reduce the impact on the charging and discharging depth and efficiency of the energy storage system, avoid the problem of increasing the maximum demand due to charging and generating reverse flow due to discharging, and improve the economy and efficiency of the energy storage system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0034] Figure 1 It is a structural block diagram of the energy storage application system of the present invention;

[0035] Figure 2 A schematic flow chart of a power control method based on demand control and anti-backflow control according to an embodiment of the present invention;

[0036] Figure 3 This is a schematic diagram of power control when parameter B takes different values ​​in the charging mode of an embodiment of the present invention;

[0037] Figure 4 This is a schematic diagram of power control when parameter A takes different values ​​in the discharge mode of an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] In the present invention, the maximum demand refers to the average power of the customer's electricity consumption during a certain period of time (currently 15 minutes in my country) within a certain settlement period (generally one month), and the maximum one-time indication value is retained as the maximum demand for this settlement period. The power company will charge for this maximum demand. The maximum demand represents the user's ability to control the power limit of their own load. If there is a large amount of load power demand within a certain period of time, it will inevitably lead to an increase in the maximum demand, and then pay more electricity bills. From the perspective of power users, such a situation should be avoided as much as possible. The power company will re-count the maximum demand of the settlement period in each new settlement period, and use this as the basis for charging for the settlement period.

[0040] The maximum demand is generally calculated using the sliding average method:

[0041]

[0042] In the formula, t1 represents the start time, and t2 represents the end time (current time). As mentioned above, generally t2 – t1 = 15 minutes. p Indicates the real-time active power counted by the electric meter. P EThe actual calculation will be discretized, for example, a power value is taken every 1 minute, and then the average power value of the last 15 minutes is calculated, and the average value is calculated repeatedly over time. If the average value calculated this time is greater than the previous value, the maximum demand will be updated to this value. If it is less than or equal to this value, it will not be updated. In a month, the maximum P E This is the maximum demand for that month.

[0043] At the beginning of each billing cycle (beginning of the month), the maximum demand value starts from 0. From 0:00 at the beginning of the month to 0:15, the maximum demand value is always 0. After 15 minutes, the average power value of these 15 minutes is the maximum demand at the current time of the month, and then the above calculation process is repeated until the end of the billing cycle (end of the month).

[0044] Generally, energy storage systems only need to consider maximum demand control during the charging period, at least to ensure that the customer's maximum demand costs are not increased due to the charging of the energy storage system itself.

[0045] The billing cycle is the statistical period for the power company to collect electricity charges from users, which is generally one month. The maximum demand will be reset to 0 at the beginning of the month, and then recalculated over time until the end of the month. In the following text, the beginning and end of the month refer to the beginning and end of the billing cycle.

[0046] Backflow refers to the phenomenon that power is output from the customer to the grid in reverse. Backflow occurs when the energy storage system discharges more power than the customer's load demand. Backflow is generally not allowed in electricity and needs to be prevented. When backflow occurs, the grid meter measures a negative power value.

[0047] The energy storage system only needs to consider that the discharge power does not exceed the power demand of the customer load when discharging itself. If it exceeds the power demand, the excess power will flow back into the grid.

[0048] The purpose of the present invention is to dynamically monitor the changes in customer load power in real time and adjust the power of the energy storage system to ensure that the maximum demand is not increased due to charging, and conversely, that reverse current is not generated due to discharging.

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] like Figure 1-Figure 2 As shown, the power control method based on demand control and anti-backflow control provided by the present invention is applied to an energy storage application system including a power supply, a load and an energy storage system powered by a power grid, and the control target of the energy storage application system is:

[0051]

[0052] Where P KM Represents the grid power, P LMD Indicates the maximum demand value, A and B are both two numbers greater than 0, where A is defined as the backflow prevention and control parameter and B is defined as the maximum demand control parameter; P is used S Represents the energy storage power, P L Indicates load power;

[0053] In the above inequality, the selection of A and B is also very important. If A and B are too large, the charging and discharging depth and efficiency of the energy storage system will be seriously affected. If they are too small, the problem of reverse flow or excess demand cannot be solved. Therefore, this application further improves the selection method of A and B.

[0054] The power control method comprises the following steps:

[0055] In each billing cycle, real-time statistics and updates of load power P L The corresponding maximum demand value P LMD ;

[0056] When the energy storage system is operating in charging mode, the initial value of parameter B is set to B0. Based on equation P KM = P S + P L +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTA Update B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of

[0057] When the energy storage system is operating in the discharge mode, the initial value of parameter A is set to A0. Based on the equation P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

[0058] For example, the billing period is one month, and in each billing period, the maximum demand value P LMDThe initial value is 0. The billing cycle can be adjusted according to the actual situation and implemented in accordance with the relevant standards of the power company.

[0059] In each billing cycle, the load power P is counted and updated in real time. L The corresponding maximum demand value P LMD , including:

[0060] S101, real-time update of load power P L For example, the total electricity meter at the power grid and the metering meter of the energy storage device can be used to obtain the power grid power P in real time. KM and energy storage power P S , based on the formula P L =P KM -P S Calculate the load power P L Alternatively, the load power P can be directly measured by a dedicated load meter L;

[0061] S102, calculate the load power P in each unit time period of 15 minutes L The average value P LE;

[0062] S103, compare two average values ​​P in two unit time periods LE , retain the average value P with a larger value LE As the updated maximum demand value P LMD;

[0063] S104, repeat steps S101-S103 until the billing cycle ends.

[0064] According to the definition of maximum demand, the present invention calculates the load power P in real time within a billing cycle. L The maximum demand value P LMD , and get P LMD After that, the charging and discharging power of the energy storage system is controlled accordingly, that is, to ensure that the KM = P S + P L +B0 The calculated grid power is less than or equal to the maximum demand value P LMD , during the load power change process, update the B value and adjust the energy storage power so that P KM Will not exceed the maximum demand. LMD Cleared to 0, the customer load refreshes P LMD After that, the energy storage system uses the new P LMDAs the control input, the reference value of the maximum demand control is guaranteed to be the most consistent with the actual power consumption of the customer load this month. The maximum demand calculated by the present invention is the maximum demand of the customer load itself. Ideally, the maximum demand value should be the same as the maximum demand value counted by the power grid meter, indicating that the customer demand is not increased due to the charging of the energy storage system, which is also the control goal of the present invention.

[0065] Parameters A and B in the present invention essentially reflect the ability of the power of the entire energy storage system to follow the load changes in real time, which is determined by the fluctuation characteristics of the load itself and the power regulation and tracking ability of the energy storage system. The slower and smaller the load fluctuation, the faster the energy storage power tracking ability, and the smaller the values ​​of parameters A and B can be set, and vice versa. Parameters A and B are different for different customer sites and different energy storage power configurations.

[0066] Specifically, the equation based on P KM = P S + P L +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTA Update B0, including:

[0067] After the energy storage system operates in charging mode for a period of time, based on the equation P KM = P S + P L +B0 regulates the energy storage power. After running for a set period of time, sufficient historical data is accumulated to count all P KM With P LMD When the load allows a part of the surplus power to charge the energy storage system, the statistical P KM With P LMD The maximum difference P DELTA , substitute into formula B0' = B0-P DELTA Update B0. Find P DELTA P LMD is the P at the corresponding time LMD , in each billing cycle, P LMD It starts from 0 and increases until the end of the month. Therefore, P DELTA According to P LMD Adjust at any time.

[0068] like Figure 3 The response of different B values ​​when the energy storage system is charged is shown, where B 03 >B 01 >B02 . Load power P at time T0 L The energy storage system starts to respond at time T1, and the load power P at time T2 L No longer increases, the energy storage power P at around T2 S It will not change even if it drops to 0.

[0069] B 01 The setting is reasonable, when the load power P L When it increases, the energy storage system responds, and the final grid power P KM Just does not exceed the maximum demand limit P LMD ;

[0070] B 02 The setting is too small, resulting in the grid power P from before T1 to after T2 KM Exceeds the maximum demand value P LMD , although the final energy storage power P S Reduced to 0, the grid power P KM Reduce to load power P L ,However, the average grid power during this period has been pulled up by this short period of time and does not meet the demand control requirements;

[0071] B 03 The setting is too large, the load power P L When there is no increase, the grid power P KM Always less than the maximum demand value P LMD However, this also results in the energy storage system not being fully charged.

[0072] The above analysis process is realized according to the energy conservation formula: P KM =P S + P L。

[0073] After statistically analyzing a large amount of historical data, the optimal value of parameter B is equal to B0 minus P L Change to P LMD Time KM With P LMD The maximum difference (the most conservative value).

[0074] Specifically, the equation based on P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, including:

[0075] After the energy storage system operates in the discharge mode for a period of time, based on the equation PKM = P S + P L +A0 regulates the energy storage power. After running for a set period of time, sufficient historical data is accumulated to calculate the load power P L When all P KM The value of P is the minimum or the minimum probability value. KM-MIN , substitute into the formula A0' = A0-P KM-MIN Update A0.

[0076] The ideal state of the energy storage system during discharge operation is that when the load power drops to 0, the energy storage power also becomes 0. When the load power is not yet 0, the energy storage power has already become 0, indicating that the discharge is not sufficient (A0 is set too large); when the load power has become 0, the energy storage system is still discharging and reverse flow will occur (A0 is set too small). The above two states are not optimal. The reasonable parameter A value should be neither reverse flow nor sufficient discharge. Therefore, the P value when the load power is 0 is counted. KM , take the minimum or probability minimum value P KM-MIN , calculate A0' = A0 - P KM-MIN。

[0077] Since the user's electricity consumption is random, the load power is always fluctuating. If P KM-MIN It is calculated based on the power state at the time of the largest fluctuation, which is definitely the safest. However, the largest fluctuation may not be the normal state of the user's electricity consumption, and it may also be a sudden load reduction caused by equipment abnormality. Therefore, in order to ensure that the energy storage system is fully discharged, the minimum or probabilistic minimum value P is used. KM-MIN。

[0078] Figure 4 The results of different A values ​​when the energy storage system is discharged are shown, where A 03 >A 01 >A 02 . Load power P at time T0 L The load starts to decrease, the energy storage system starts to respond at T1, the load stops changing at T2, and the energy storage system completes the corresponding power adjustment at around T3.

[0079] A 01 It means that the setting A0 is just right, no reverse flow occurs, and the load power P L After the energy storage power decreases, it also decreases accordingly. When the balance is reached, P KM is not less than 0 (that is, no reverse flow occurs), P KM Nor is it much greater than 0 (P KMGreater than 0 indicates that the load has power demand on the grid, and this part of the power demand can also be supported by the energy storage system).

[0080] A 02 Setting too large Figure 4 It can be seen that A 02 Under the value of KM It is always greater than 0. Although there is no reverse flow, this part of the power demand for the power grid can be supported by the energy storage system, and the optimal power regulation is not achieved.

[0081] A 03 The setting is too small, resulting in load power P L When it becomes smaller, the energy storage power does not decrease immediately, and reverse flow occurs.

[0082] The above analysis process is realized according to the energy conservation formula: P KM = P S + P L , during discharge, P S should be as large as possible to fully discharge, but P S Cannot be greater than P L , P S Greater than P L , the excess power will flow back to the grid.

[0083] In a full month, there are many similar Figure 4 After statistically analyzing a large amount of operating data during such power variation periods, the optimal value of parameter A is equal to A0 minus P L Change to A0 time P KM The minimum value (the most conservative value) of .

[0084] The present invention also provides a power control system based on demand control and anti-backflow control, and the power control method based on demand control and anti-backflow control is applied to execute the above-mentioned power control method based on demand control and anti-backflow control, including:

[0085] The maximum demand value update module is used to count and update the load power P in real time during each billing cycle. L The corresponding maximum demand value P LMD ;

[0086] The parameter B correction module is used to set the initial value of parameter B to B0 when the energy storage system is running in charging mode. KM = P S + P L +B0 regulates the energy storage power and according to the formula B0' = B0-P DELTAUpdate B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of

[0087] Parameter A correction module, when the energy storage system is running in discharge mode, the initial value of parameter A is set to A0, based on equation P KM = P S + P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

[0088] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A power control method based on demand control and anti-backflow control is applied to an energy storage application system including a power supply, a load and an energy storage system powered by a power grid, wherein the control target of the energy storage application system is: ; Where P KM Represents the grid power, P LMD Indicates the maximum demand value. A and B are both parameters greater than 0. A is defined as the backflow prevention and control parameter, and B is defined as the maximum demand control parameter; P S Represents the energy storage power, P L Indicates load power; The power control method is characterized by comprising the following steps: In each billing cycle, real-time statistics and updates of load power P L The corresponding maximum demand value P LMD ; When the energy storage system is operating in charging mode, the initial value of parameter B is set to B0. Based on equation P KM =P S +P L +B0 regulates the energy storage power and according to the formula B0'= B0-P DELTA Update B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of When the energy storage system is operating in the discharge mode, the initial value of parameter A is set to A0. Based on the equation P KM =P S +P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

2. The power control method based on demand control and backflow prevention control according to claim 1 is characterized in that: The billing period is one month. In each billing period, the maximum demand value P LMD The initial value of is 0.

3. The power control method based on demand control and anti-backflow control according to claim 1 is characterized in that: In each billing cycle, the load power P is counted and updated in real time. L The corresponding maximum demand value P LMD , specifically including: S101, real-time update of load power P L ; S102, set the unit time period and calculate the load power P in each unit time period L The average value P LE ; S103, compare the two average values ​​P in two adjacent unit time periods LE , retain the average value P with a larger value LE As the updated maximum demand value P LMD ; S104, repeat steps S101-S103 until the billing cycle ends.

4. The power control method based on demand control and anti-backflow control according to claim 1 is characterized in that: Based on the equation P KM =P S + P L +B0 regulates the energy storage power and according to the formula B0'= B0-P DELTA Update B0, including: Based on the equation P KM =P S +P L +B0 regulates the energy storage power. After running for a set period of time, all P KM With P LMD When the load allows a part of the surplus power to charge the energy storage system, the statistical P KM With P LMD The maximum difference P DELTA , substitute into the formula B0'= B0-P DELTA Update B0.

5. The power control method based on demand control and anti-backflow control according to claim 1 is characterized in that: Based on the equation P KM =P S +P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, including: Based on the equation P KM =P S +P L +A0 regulates the energy storage power. After running for a set period of time, the load power P is counted. L When all P KM The value of P is the minimum or the minimum probability value. KM-MIN , substitute into the formula A0' = A0-P KM-MIN Update A0.

6. A power control system based on demand control and anti-backflow control, applying and executing the power control method based on demand control and anti-backflow control according to any one of claims 1 to 5, comprising: The maximum demand value update module is used to count and update the load power P in real time during each billing cycle. L The corresponding maximum demand value P LMD ; The parameter B correction module is used to set the initial value of parameter B to B0 when the energy storage system is running in charging mode. KM =P S +P L +B0 regulates the energy storage power and according to the formula B0'= B0-P DELTA Update B0, where B0' represents the updated value of parameter B, P DELTA Indicates P L Change to P LMD Time P KM With P LMD The maximum difference of Parameter A correction module, when the energy storage system is running in discharge mode, the initial value of parameter A is set to A0, based on equation P KM =P S +P L +A0 regulates the energy storage power and uses the formula A0' = A0-P KM-MIN Update A0, where A0' represents the updated value of parameter A, P KM-MIN Indicates load power P L When it is 0, the grid power P KM The minimum value or probability minimum.

Citation Information

Patent Citations

  • Maximum demand control method based on energy storage system

    CN107994594A

  • Demand control method, device and system based on energy storage system

    CN110148957A

  • Peak clipping and valley filling, demand control and countercurrent prevention integrated control method for industrial and commercial energy storage

    CN118074185A

  • Electrically parallel connection of photovoltaic modules in a string to provide a DC voltage to a DC voltage bus

    EP2159895A2