Power dynamic compensation adjusting method and system based on energy storage system

By dividing the time interval T of the energy storage system into multiple time slices and employing closed-loop feedback and dynamic adjustment algorithms, the power output of the energy storage system is optimized, solving the problem of grid power instability caused by the volatility of new energy sources and achieving high-precision power regulation and stability control.

CN121395307APending Publication Date: 2026-01-23HUNAN YICHU TECHNOLOGY CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202410241926.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-04
Publication Date
2026-01-23

AI Technical Summary

Technical Problem

Existing energy storage systems suffer from low power regulation accuracy and speed in the face of grid power instability caused by the volatility of new energy sources. They also have a high probability of overshoot or undershoot and cannot effectively meet the real-time power demand of the grid.

Method used

A power dynamic compensation and regulation method based on energy storage system is adopted. By dividing the time interval T into multiple time slices, a closed-loop feedback mechanism and dynamic adjustment algorithm are used to gradually approach the power target value. Combined with historical data, dynamic adjustment and evaluation are carried out to optimize the gain and integral control of the energy storage system and achieve precise power output.

Benefits of technology

It improves the control precision and accuracy of power output of energy storage systems, avoids overshoot and undershoot, and realizes the stability and flexible response of the power grid and user-side loads, meeting the needs of power demand response and ancillary services.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121395307A_ABST
    Figure CN121395307A_ABST
Patent Text Reader

Abstract

The invention discloses a power dynamic compensation adjustment method and system based on an energy storage system, and the method comprises the steps: setting a dynamic feedback evaluation adjustment time interval T, dividing the time interval T into N time slices, gradually approaching a target value through an adjustment algorithm in each time slice, and completing the dynamic adjustment after the timing of the time interval T, and re-reading the basic data to determine a new target value, and entering the next dynamic adjustment. According to the method, a dynamic successive approximation adjustment method is adopted, excessive overshoot and undershoot are prevented, meanwhile, the control algorithm evaluates the last adjustment effect, an evaluation coefficient is used for guiding the next dynamic compensation adjustment, each adjustment is optimized through closed-loop feedback, and the accuracy and precision of power output control are improved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The application discloses a power dynamic compensation adjustment method and system based on an energy storage system, and relates to power grid power adjustment technology in which the energy storage system participates. BACKGROUND

[0002] With the proposal of the double carbon target, the energy structure of the country is undergoing tremendous changes, new energy installations are rapidly increasing, the proportion of thermal power is gradually decreasing, and the entire power grid is transforming from traditional power to new power. However, as the scale of new energy development and utilization continues to expand, the problem of unstable output of wind power and photovoltaic power depending on the weather also emerges, and the volatility of new energy has a certain impact on the stability of the power grid and the quality of power supply. In the period of new energy development, the power department encourages everyone to participate in "power auxiliary services" and use more electricity to absorb new energy curtailment; when power demand increases and new energy cannot provide sufficient support, the power department calls on the user side to actively participate in "power demand response" and support "orderly power consumption" to achieve the purpose of power rationing and reduce the pressure on the power grid. At the same time, the proposal of the concept of virtual power plants and the trial of power spot trading have determined that the traditional real-time balancing mode of "source following load" cannot adapt to the new mode of "source-grid-load-storage integration", which has become an active exploration direction.

[0003] At present, most users control power consumption by switching loads and adjusting production capacity to achieve the purpose of demand response or auxiliary services. The energy storage system can be both a "source" and a "load", and can meet the demand for power control without changing the original load and maintaining the original production capacity. The participation of the energy storage system makes the "load" not a traditional load, but a flexible and adjustable "load". Therefore, how to scientifically regulate the relationship between the power grid, the energy storage system, and the load according to the demand, control the user-side load power relatively stably by real-time conversion of the different roles of the energy storage system, and realize "load following source" and "source-load interaction" are the practical problems that need to be solved at present.

[0004] Some research has been conducted in the industry for the collaborative control among the power grid, the energy storage system, and the load. For example, the patent application with the publication number CN115833197A proposes a kind of energy storage system power following control method and terminal, which corrects the historical power of the last time EMS system issued to PCS according to the preset load power approximation coefficient and power margin parameter to obtain the optimized power. This method only makes a simple correction to the previous result and does not evaluate the corrected result for dynamic correction according to the evaluation result. The power following accuracy and speed of this method are relatively low, the probability of overshoot or undershoot is extremely high, and the power output accuracy needs to be further improved. SUMMARY

[0005] The technical problem solved by the present application is: in view of the power instability of the existing new energy fluctuation, a power dynamic compensation adjustment method and system based on an energy storage system are provided.

[0006] The present application adopts the following technical solutions:

[0007] The present application discloses a power dynamic compensation adjustment method based on an energy storage system, comprising the following steps:

[0008] S1, select one time interval T of the energy storage system, divide T into N time slices T1, T2...T N In any time slice T n , determine the baseline power value of the time slice T n according to the power grid demand as the expected load power target value of the power grid, read the load power value and the energy storage system power value at the current time, and obtain the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n ;

[0009] S2, obtain the error coefficient of the dynamic compensation adjustment energy storage system in the time slice T n , read the evaluation coefficient of the dynamic compensation adjustment energy storage system in the time interval T, obtain the gain control amount and the integral control amount of the dynamic compensation adjustment energy storage system in the time slice T n , and then obtain the total adjustment amount of the energy storage system in the time slice T n , and the energy storage system adjusts the output power according to the value of the total adjustment amount in the time slice T n ;

[0010] S3, after the time slice T n arrives, repeat steps S1 and S2 in the next time slice T n+1 ;

[0011] S4, repeat step S3 until the time interval T arrives, obtain the evaluation effect of the dynamic compensation adjustment of the energy storage system in the time interval T, and feed back to the gain control amount of the dynamic compensation adjustment energy storage system in the next time interval adjustment calculation;

[0012] S5, enter the next time interval T, and repeat steps S1 to S4.

[0013] In the power dynamic compensation adjustment method based on the energy storage system, the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n is obtained by calculation as follows:

[0014] P erro(n) =P except(n) -P load(n) ,

[0015] P true(n) =P erro(n) -P energy(n) ,

[0016] Among them, P except(n) P is the target load power value desired by the power grid. load(n) For time slice T n The load power value at the current moment, P energy(n) For time slice T n The current power value of the energy storage system, P erro(n) For time slice T n The power error value of internal dynamic compensation regulation, P true(n) For time slice T n The target value for dynamic compensation and adjustment of the output power of the internal energy storage system, P except(n) P load(n) P energy(n) P erro(n) P true(n) All values ​​are signed, P except(n) and P load(n) P is always positive. energy(n) When the energy storage system discharges at a positive value, P energy(n) When the value is negative, the energy storage system is charged, P erro(n) A positive value for P indicates that the power grid supply exceeds demand. erro(n) A negative value for P indicates that the power grid supply is insufficient to meet demand. true(n) When the energy storage system discharges at a positive value, P true(n) The energy storage system is charged when the value is negative.

[0017] In a power dynamic compensation and adjustment method based on an energy storage system according to the present invention, in step S2, the calculation time slice T is obtained by the following formula. n Internal dynamic compensation adjusts the error coefficient α of the energy storage system n :

[0018]

[0019] In the formula, P true(n) For time slice T n The target value for dynamic compensation and adjustment of the output power of the energy storage system within the system, P true(n-1) For time slice T n-1 The target value for dynamic compensation adjustment of the output power of the internal energy storage system is α1 when n=1.

[0020] In a power dynamic compensation and adjustment method based on an energy storage system according to the present invention, in step S2, the time slice T is first calculated using the following formula. n Internal dynamic compensation regulation of energy storage system gain coefficient kp n :

[0021] kp n = kp n-1 * a n-1* β,

[0022] wherein, kp n-1 is the gain coefficient of the dynamic compensation and adjustment energy storage system within the time slice T n-1 , when n=1, the initial value of kp1 is set to be between 0.6 and 1.2, and β is the adjustment evaluation coefficient of the dynamic compensation and adjustment energy storage system, when n=1, β=1;

[0023] Then, the gain control amount P n of the dynamic compensation and adjustment energy storage system within the time slice T (kpn) is calculated by the following formula:

[0024] P (kpn) = kp n * P true(n) ,

[0025] The integral control amount of the dynamic compensation and adjustment energy storage system within the time slice T n is calculated by the following formula:

[0026]

[0027] wherein, P (kin) is the integral control amount of the dynamic compensation and adjustment energy storage system within the time slice T n , and T n =T / N;

[0028] The total adjustment amount P n of the energy storage system within the time slice T out(n) is obtained by the following formula:

[0029] P out(n) =P (kpn) +P (kin) .

[0030] In the power dynamic compensation and adjustment method based on the energy storage system, the effect of the dynamic compensation and adjustment within the current time interval T is evaluated in step S4, and the evaluation coefficient β within the current time interval T is determined by the following formula:

[0031]

[0032] wherein, β0 is the dynamic compensation and adjustment evaluation coefficient of the previous time interval, and when n=1, β0=β=1.

[0033] The application further discloses a power dynamic compensation and adjustment system based on the energy storage system, which comprises a timing module, an input module, a calculation module, an output module and a feedback module.

[0034] The timing module divides the working time of the energy storage system into several time intervals T, and each time interval T is divided into N time slices T1, T2,..., TN. N ,

[0035] The input module determines the time slice T according to the grid demand. n The baseline power value is the expected load power target value of the grid, and the current load power value and the energy storage system power value at the current time are read and transmitted to the calculation module to calculate the time slice T. n The dynamic compensation adjustment target value of the energy storage system output power, the error coefficient of the dynamic compensation adjustment energy storage system, and the gain coefficient of the dynamic compensation adjustment energy storage system are calculated to obtain the time slice T. n The gain control amount and the integral control amount of the dynamic compensation adjustment energy storage system are calculated to obtain the time slice T. n The total adjustment amount of the energy storage system is calculated to obtain the time slice T. n The energy storage system adjusts the output power according to the value of the total adjustment amount.

[0036] After a complete time interval T arrives, the calculation module obtains the evaluation effect of the dynamic compensation adjustment of the energy storage system in the time interval T, and feeds back to the next time interval to adjust the gain control amount of the dynamic compensation adjustment energy storage system through the feedback module.

[0037] In the power dynamic compensation adjustment system of the energy storage system, the calculation module calculates the time slice T by the following formula: n The dynamic compensation adjustment target value of the energy storage system output power is calculated.

[0038] P erro(n) = P except(n) -P load(n) ,

[0039] P true(n) = P erro(n) -P energy(n) ,

[0040] Wherein, P except(n) is the expected load power target value of the grid, P load(n) is the load power value at the current time, P n is the energy storage system power value at the current time, P energy(n) is the power error value of the dynamic compensation adjustment in the time slice T n , P erro(n) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n , P true(n) , P n , P except(n) , P load(n) , Penergy(n) , P erro(n) , P true(n) The numerical values of P except(n) and P load(n) are signed values, P energy(n) is positive when the energy storage system discharges, P energy(n) is negative when the energy storage system charges, P erro(n) is positive when the power grid is oversupplied, and P erro(n) is negative when the power grid is undersupplied, P true(n) is positive when the energy storage system discharges, and P true(n) is negative when the energy storage system charges.

[0041] In the power dynamic compensation adjustment system based on the energy storage system, the calculation module obtains the error coefficient a of the energy storage system in the time slice T n by the following formula: n

[0042]

[0043] In the formula, P true(n) is the dynamic compensation adjustment target value of the output power of the energy storage system in the time slice T n , P true(n-1) is the dynamic compensation adjustment target value of the output power of the energy storage system in the time slice T n-1 , and a1 is initially 1 when n=1.

[0044] In the power dynamic compensation adjustment system based on the energy storage system, the calculation module calculates the gain coefficient kp of the energy storage system in the time slice T n by the following formula: n

[0045] kp n = kp n-1 * a n-1 * b,

[0046] In the formula, kp n-1 is the gain coefficient of the energy storage system in the time slice T n-1 , and kp1 is initially set to be between 0.6 and 1.2 when n=1; and b is the adjustment evaluation coefficient of the dynamic compensation adjustment energy storage system, and b=1 when n=1.

[0047] The calculation module calculates the gain control amount of the energy storage system in the time slice T n by the following formula:

[0048] P (kpn) = kp n * P true(n) ​​,

[0049] The calculation module calculates the time slice T by the following formula n The integral control amount of the energy storage system in the dynamic compensation adjustment in the time slice T is

[0050]

[0051] In the formula, P (kin) is the total adjustment amount of the energy storage system in the time slice T n The integral control amount of the energy storage system in the dynamic compensation adjustment in the time slice T n = T / N.

[0052] The calculation module obtains the total adjustment amount P out(n) of the energy storage system in the time slice T by the following formula

[0053] P out(n) = P (kpn) + P (kin) .

[0054] In the power dynamic compensation adjustment system based on the energy storage system, the calculation module evaluates the effect of the dynamic compensation adjustment in the time interval T by the following formula, and determines the evaluation coefficient β in the time interval T:

[0055]

[0056] Wherein, β0 is the dynamic compensation adjustment evaluation coefficient in the last time interval, and when n = 1, β0 = β = 1.

[0057] The power dynamic compensation adjustment method and system based on the energy storage system proposed in the application follow the technical idea of “dynamic adjustment, closed-loop feedback and evaluation optimization”, set a dynamic feedback mechanism to evaluate the adjustment time interval T, divide the time interval T into N time slices, gradually approach the target value in each time slice through the adjustment algorithm, complete the dynamic adjustment after the time interval T is over, read the basic data to determine a new target value, and enter the next dynamic adjustment.

[0058] The application has the following beneficial effects:

[0059] (1) The application realizes dynamic adjustment of the power of the energy storage system, sets two time concepts in the power adjustment process, one is the adjustment and evaluation time interval T, which is used for periodic large-scale adjustment to cope with the disturbance of the load and the commercial power, and the other is the time slice in the time interval T, which is cut into multiple time slices for step-by-step fine adjustment in each periodic adjustment time interval, so as to ensure the stability and precision of the adjustment and avoid over-adjustment and under-adjustment as much as possible;

[0060] (2) The application adopts closed-loop feedback to adjust the power target value, and in the process of power adjustment, the historical data of the whole process are comprehensively used as the reference basis for dynamic adjustment amplitude in addition to the output results of the previous time as the basis for adjustment optimization.

[0061] (3) The application evaluates and optimizes the result of each power adjustment, evaluates the effect of each adjustment, adjusts the evaluation coefficient in a timely manner, and ensures the stability and convergence of the power output.

[0062] In summary, the power dynamic compensation adjustment method and system based on the energy storage system proposed by the application scientifically regulate the relationship between the power grid, energy storage and load, propose an optimal control algorithm, improve the power output control precision and accuracy, can flexibly respond to the power demand response of the power grid and the power auxiliary service of the power demand, reduce the burden of the power grid from the user side, control the relative stability of the user side load power by real-time conversion of the different roles of energy storage, solve the actual problems of "load following source" and "source-load interaction", and real-time meet the power demand of the power grid.

[0063] The application will be further described below in combination with the drawings and specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0064] Figure 1 It is a schematic diagram of a power dynamic compensation adjustment system based on an energy storage system of the application.

[0065] Figure 2 It is a closed-loop control schematic diagram of a power dynamic compensation adjustment method based on an energy storage system of the application. DETAILED DESCRIPTION

[0066] EMBODIMENT

[0067] REFERENCE Figure 1 The embodiment shows a power dynamic compensation adjustment system based on an energy storage system, which is used for power dynamic compensation adjustment of the energy storage system, mainly including a timing module 100, an input module 200, a calculation module 300, an output module 400 and a feedback module 500, and in combination with Figure 2 The power dynamic compensation adjustment method based on the energy storage system of the system includes the following steps:

[0068] The timing module 100 divides the working time of the energy storage system into a plurality of time intervals T, and divides each time interval T into N time slices T1, T2...TN. N The value range of T and N can be determined according to the calculation capability of the hardware platform of the calculation module, for example, the time interval T can be 5S, and N can be 100, and each time slice is 50ms.

[0069] The input module 200 determines a time slice T according to the power grid demand n The baseline power value of the time slice T is taken as the expected load power target value of the power grid, and the load power value and the energy storage system power value at the current time are read and transmitted to the calculation module 300. The calculation module 300 calculates the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n , the error coefficient of the dynamic compensation adjustment energy storage system, and the gain coefficient of the dynamic compensation adjustment energy storage system, and further calculates the gain control amount and the integral control amount of the dynamic compensation adjustment energy storage system in the time slice T n according to the calculated adjustment coefficients, to obtain the total adjustment amount of the energy storage system in the time slice T n and transmits it to the output module 400. The energy storage system adjusts the output power according to the total adjustment amount value output by the output module 400 in the time slice T n .

[0070] After the time interval T arrives, the calculation module 300 obtains the evaluation effect of the dynamic compensation adjustment of the energy storage system in the time interval T, and feeds back the gain control amount of the dynamic compensation adjustment energy storage system to the next time interval adjustment calculation through the feedback module 500.

[0071] Specifically, the calculation module 300 calculates the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n according to the following formula:

[0072] P erro(n) = P except(n) -P load(n) ,

[0073] P true(n) = P erro(n) -P energy(n) ,

[0074] wherein P except(n) is the expected load power target value of the power grid, P load(n) is the load power value at the current time in the time slice T n , P energy(n) is the energy storage system power value at the current time in the time slice T n , P erro(n) is the power error value of the dynamic compensation adjustment in the time slice T n , P true(n) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n , P except(n) , P load(n) , P energy(n) , P erro(n) , and P true(n) are all signed values, and P except(n) and Pload(n) Always positive, P energy(n) When positive, the energy storage system discharges, P energy(n) When negative, the energy storage system charges, P erro(n) When positive, it indicates that the grid supply is greater than demand, P erro(n) When negative, it indicates that the grid supply is less than demand, P true(n) When positive, the energy storage system discharges, P true(n) When negative, the energy storage system charges.

[0075] The calculation module 300 obtains the calculation time slice T by the following formula n The error coefficient a of the internal dynamic compensation adjustment n :

[0076]

[0077] In the formula, P true(n) is the dynamic compensation adjustment target value of the energy storage system output power within the time slice T n , P true(n-1) is the dynamic compensation adjustment target value of the energy storage system output power within the time slice T n-1 , and a1 is initially 1 when n = 1.

[0078] First, the calculation module 300 calculates the dynamic compensation adjustment energy storage gain coefficient kp within the time slice T n by the following formula n :

[0079] kp n = kp n-1 * a n-1 * b,

[0080] In the formula, kp n-1 is the dynamic compensation adjustment energy storage gain coefficient within the time slice T n-1 , and kp1 is initially set to between 0.6 and 1.2 when n = 1; b is the dynamic compensation adjustment energy storage adjustment evaluation coefficient, and b = 1 when n = 1.

[0081] Then, the calculation module 300 calculates the dynamic compensation adjustment energy storage gain control amount within the time slice T1 by the following formula:

[0082] P (kpn) = kp n * P true(n) .

[0083] The calculation module 300 calculates the dynamic compensation adjustment energy storage integral control amount within the time slice T n by the following formula:

[0084]

[0085] P = P + P (kin) T = T + T n T = T + T n T = T / N.

[0086] P = P + P out(n)

[0087] P = P + P out(n) P = P + P (kpn) P = P + P (kin)

[0088] P = P + P

[0089]

[0090] P = P + P

[0091] P = P + P

[0092] In order to more clearly illustrate the technical effects of the present application, the following example of the application of the power system of an enterprise is described, and the disclosed parameter data is a specific application of the present application, and cannot limit the protection scope of the present application.

[0093] During the "Summer Peak" period, the electricity demand increases sharply, and the power grid supply capacity is insufficient. The demand side response is called on to reduce the load power. The normal power consumption of an enterprise is 1200kW, and the declared response value is 200kW by participating in the demand side response through the energy storage system, i.e. the power consumption of 200kW needs to be reduced. The power output of the energy storage system is adjusted by the power dynamic compensation adjustment system of the present application. According to the calculation capability of the hardware platform of the calculation module and the actual demand of power adjustment, the time interval T of dynamic feedback evaluation adjustment is set to 15S, i.e. dynamic power following and compensation adjustment is performed every 15S. The time slice division coefficient N is taken as 150, and the time interval T is divided into 150 time slices T i , i∈(1, 2,..., 150), and each time slice T i is 100ms.

[0094] The power dynamic compensation adjustment method based on the energy storage system is as follows:

[0095] Step S1: determine the baseline power value P except(1) ​​= 1000 kW, read the load power value P at the current time through the energy storage energy management system load(1) = 1100 kW, read the energy storage system power value P at the current time energy(1) = 100 kW, the energy storage system is in discharge state.

[0096] Take the above power values as input, calculate the power error value P that should be adjusted by dynamic compensation adjustment in the first time slice T1 erro(1) = P except(1) -P load(1) = 1000 kW-1100 kW = -100 kW, the dynamic compensation adjustment in the first time slice T1 needs to reduce 100 kW of load power, at this time the energy storage system should be discharged as a "source" to provide 100 kW of power support, count the energy storage system output power adjustment target value P in the first time slice T1 true(1) = P energy(1) -P erro(1) = 100 kW-(-100 kW) = 200 kW, the energy storage system needs to be adjusted to discharge at a power of 200 kW in the first time slice T1.

[0097] Step S2: Calculate the error coefficient a(1) of the energy storage system in the dynamic compensation adjustment in the first time slice T1, take the initial value a(1) = 1; the evaluation coefficient β of the energy storage system in the dynamic compensation adjustment in the current time interval T, take the initial value β = 1; calculate the gain coefficient of the energy storage system in the dynamic compensation adjustment in the time slice T1, the initial value is set according to experience kp1 = 0.95.

[0098] Then, calculate the gain control amount P of the energy storage system in the dynamic compensation adjustment in the first time slice T1 (kp1) , P (kp1) = kp1*P true(1) = 0.95*200 = 190.

[0099] Calculate the integral control amount P of the energy storage system in the dynamic compensation adjustment in the first time slice T1 (ki1) ,

[0100] Calculate the total adjustment amount P of the energy storage system in the dynamic compensation adjustment in the first time slice T1 out(1) = P (kp1) + P (ki1) = 190+1.33 = 191.33, output the value to the energy storage system through the output module, and the energy storage system adjusts the output power according to the value.

[0101] Step S3: after the first time slice T1 arrives, i.e. 100 ms arrives, repeat step S1, read the load power value P at the current time of the second time slice T2load(2) = 1006.67 kW, read the current time energy storage system power value P energy(2) = 191.33 kW, power error value P erro(2) = P except(2) -P load(2) = 1000 kW-1006.67 kW=-6.67 kW, energy storage system output power adjustment target value P true(2) = P energy(2) -P erro(2) = 191.33 kW+6.67 kW=198 kW; repeat step S2, calculate the error evaluation coefficient of dynamic compensation adjustment in the second time slice T2 Read the evaluation coefficient of the dynamic compensation adjustment energy storage system in the current time interval T=1, calculate the gain coefficient of the dynamic compensation adjustment energy storage system in the second time slice T2= kp1*alpha1*beta=0.95*1.01*1=0.9595; repeat step S3, calculate the second time slice T2 data, P (kp2) = kp2*P true(2) = 189.981 kW, P out(2) = P (kp2) +P (ki2) = 192.621 kW, the energy storage system needs to be adjusted to discharge at a power of 192.621 kW in the second time slice.

[0102] Step S4: repeat step S3 until the time interval T reaches, i.e. 15S reaches. Calculate the dynamic compensation adjustment evaluation coefficient beta of the current 15S time interval, And the evaluation coefficient beta is fed back to the dynamic compensation adjustment calculation of the next time interval T.

[0103] Step S5: enter the next time interval T, repeat steps S1-S4.

[0104] As can be seen from the embodiment, the power dynamic compensation adjustment algorithm proposed in the application adopts a dynamic step-by-step approximation adjustment method, which prevents excessive overshoot and under-adjustment. At the same time, the control algorithm evaluates the adjustment effect of the last time, uses the evaluation coefficient to guide the next dynamic compensation adjustment, optimizes each adjustment through closed-loop feedback, and improves the accuracy and precision of power output control.

[0105] In this article, the terms "up", "down", "front", "back", "left", "right", "top", "bottom", "inside", "outside", "vertical", "horizontal" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the purpose of expressing the technical solution clearly and conveniently. Therefore, it cannot be understood as a limitation on the application.

[0106] In this document, the terms "comprise", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0107] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for power dynamic compensation regulation based on an energy storage system, characterized in that, The method comprises the following steps: S1, select one time interval T of the energy storage system, divide T into N time slices T1, T2...T N In any time slice T n , determine the baseline power value of the time slice T n according to the grid demand as the expected load power target value of the grid, read the load power value and the energy storage system power value at the current time, and obtain the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n ; S2, obtaining time slice T n the error coefficient of the inner dynamic compensation adjustment energy storage system, reading the evaluation coefficient of the dynamic compensation adjustment energy storage system in the current time interval T, obtaining the time slice T n the gain control amount and the integral control amount of the inner dynamic compensation adjustment energy storage system, and then obtaining the time slice T n the total adjustment amount of the inner energy storage system, the time slice T n the inner energy storage system adjusts the output power according to the numerical value of the total adjustment amount; S3, in the time slice T n Upon arrival, in the next time slice T n+1 Steps S1 and S2 are repeated within the time slice T; S4, repeating step S3 until the time interval T reaches, obtaining the evaluation effect of the dynamic compensation adjustment of the energy storage system in the time interval T, and feeding back to the gain control amount of the dynamic compensation adjustment of the energy storage system in the next time interval adjustment calculation; S5, entering the next time interval T, and repeating steps S1 to S4.

2. The power dynamic compensation adjustment method based on the energy storage system according to claim 1, characterized in that: In the step S1, the time slice T n The dynamic compensation adjustment target value of the internal energy storage system output power is obtained by calculation through the following formula: P erro(n) = P except(n) - P load(n) , P true(n) = P erro(n) - P energy(n) , P except(n) is the expected load power target value of the power grid, P load(n) is the time slice T n is the load power value at the current moment, P energy(n) is the time slice T n is the energy storage system power value at the current moment, P erro(n) is the time slice T n is the power error value of the internal dynamic compensation adjustment, P true(n) is the time slice T n is the dynamic compensation adjustment target value of the energy storage system output power, P except(n) , P load(n) , P energy(n) , P erro(n) , P true(n) The numerical values of P except(n) , P load(n) are always positive, P energy(n) is positive, the energy storage system discharges, P energy(n) is negative, the energy storage system charges, P erro(n) is positive, indicating that the power grid supply is greater than demand, P erro(n) is negative, indicating that the power grid supply is less than demand, P true(n) is positive, the energy storage system discharges, P true(n) is negative, the energy storage system charges.

3. The power dynamic compensation adjustment method based on energy storage system according to claim 1, characterized in that, In the step S2, The calculation time slice T is obtained by the following formula n The error coefficient a of the internal dynamic compensation adjustment energy storage system n : In the formula, P true(n) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T true(n-1) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n-1 is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T, and the initial value of α1 is 1 when n = 1.

4. The power dynamic compensation adjustment method based on energy storage system according to claim 1, characterized in that, In the step S2, The time slice T is first calculated by the following formula n The gain coefficient kp of the inner dynamic compensation adjustment energy storage system n : kp n = kp n-1 * α n-1 * β, wherein kp n-1 is the time slice T n-1 The gain coefficient of the dynamic compensation and adjustment energy storage system is n = 1, the initial value of kp1 is set to 0.6-1.2, and β is the adjustment evaluation coefficient of the dynamic compensation and adjustment energy storage system. When n = 1, β = 1. The time slice T is then calculated by the following equation n The gain control amount P of the internal dynamic compensation adjustment energy storage system (kpn) : P (kpn) = kp n *P true(n) , The time slice T is calculated by the following formula n Integral control amount of the inner dynamic compensation adjustment energy storage system: In the formula, P (kin) is T n The integral control amount of the energy storage system is dynamically adjusted in the time slice, T n = T / N; The time slice T is derived by the following equation n The total regulating amount P of the internal energy storage system out(n) : P out(n) = P (kpn) + P (kin) .

5. The power dynamic compensation adjustment method based on energy storage system according to claim 1, characterized in that, The evaluation effect of the dynamic compensation adjustment in the time interval T is evaluated in the step S4, and the evaluation coefficient β in the time interval T is determined by the following formula: Wherein, β0 is the dynamic compensation adjustment evaluation coefficient of the last time interval, when n=1, β0=β=1.

6. A power dynamic compensation regulating system based on an energy storage system, characterized in that, The method comprises a timing module, an input module, a calculation module, an output module and a feedback module; The timing module divides the working time of the energy storage system into a plurality of time intervals T, and each time interval T is divided into N time slices T1, T2,..., TN. N , The input module determines time slice T according to power grid demand n The baseline power value is taken as a load power target value expected by the power grid, and the load power value and the energy storage system power value at the current time are read and transmitted to the calculation module to obtain time slice T by calculation of the calculation module n The dynamic compensation adjustment target value of the output power of the internal energy storage system, the error coefficient of the dynamic compensation adjustment energy storage system, and the gain coefficient of the dynamic compensation adjustment energy storage system are calculated to obtain time slice T n The gain control amount and the integral control amount of the internal dynamic compensation adjustment energy storage system are obtained to obtain time slice T n The total adjustment amount of the internal energy storage system is obtained and transmitted to the output module to obtain time slice T n The internal energy storage system adjusts the output power according to the numerical value of the total adjustment amount After a complete time interval T reaches, the calculation module obtains the evaluation effect of the dynamic compensation adjustment of the energy storage system in the time interval T, and feeds back to the gain control amount of the dynamic compensation adjustment of the energy storage system in the next time interval adjustment calculation through the feedback module.

7. The power dynamic compensation adjustment system based on the energy storage system according to claim 6, characterized in that: The calculation module calculates the time slice T by the following formula n The dynamic compensation adjustment target value of the internal energy storage system output power P erro(n) = P except(n) - P load(n) , P true(n) = P erro(n) - P energy(n) , Among them, P except(n) P is the target load power value desired by the power grid. load(n) For time slice T n The load power value at the current moment, P energy(n) For time slice T n The current power value of the energy storage system, P erro(n) For time slice T n The power error value of internal dynamic compensation regulation, P true(n) For time slice T n The target value for dynamic compensation and adjustment of the output power of the internal energy storage system, P except(n) P load(n) P energy(n) P erro(n) P true(n) All values ​​are signed, P except(n) and P load(n) P is always positive. energy(n) When the energy storage system discharges at a positive value, P energy(n) When the value is negative, the energy storage system is charged, P erro(n) A positive value for P indicates that the power grid supply exceeds demand. erro(n) A negative value for P indicates that the power grid supply is insufficient to meet demand. true(n) When the energy storage system discharges at a positive value, P true(n) The energy storage system is charged when the value is negative.

8. The power dynamic compensation adjustment system based on the energy storage system according to claim 6, characterized in that: The calculation module obtains the calculation time slice T by the following formula n The error coefficient α of the inner dynamic compensation adjustment energy storage system n : In the formula, P true(n) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T true(n-1) is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T n-1 is the dynamic compensation adjustment target value of the energy storage system output power in the time slice T 9. The power dynamic compensation adjustment system based on the energy storage system according to claim 6, characterized in that: The calculation module calculates the time slice T by the following formula n The gain coefficient kp of the inner dynamic compensation adjustment energy storage system n : kp n = kp n-1 * α n-1 * β, wherein kp n-1 is the time slice T n-1 is the gain coefficient of the dynamic compensation and regulation energy storage system, when n = 1, the initial value of kp1 is set to be between 0.6 and 1.2; β is the evaluation coefficient of the dynamic compensation and regulation energy storage system, when n = 1, β = 1; The calculation module calculates the time slice T by the following formula n The gain control amount of the inner dynamic compensation adjustment energy storage system is P (kpn) = kp n *P true(n) , The calculation module calculates the time slice T by the following formula n Integral control amount of inner dynamic compensation adjustment energy storage system: In the formula, P (kin) is T n time slice dynamic compensation adjustment energy storage system integral control quantity, T n = T / N; The calculation module obtains the total adjustment amount P of the energy storage system in the current time slice by the following formula out(n) : P out(n) = P (kpn) + P (kin) .

10. The power dynamic compensation adjustment system based on the energy storage system according to claim 6, characterized in that: The calculation module evaluates the effect of the dynamic compensation adjustment in the time interval T by the following formula, and determines the evaluation coefficient β in the time interval T: Wherein, β0 is the dynamic compensation adjustment evaluation coefficient of the last time interval, when n=1, β0=β=1.

Citation Information

Patent Citations

  • Energy storage system power following control method and terminal

    CN115833197A