Self-adaptive adjustment method and system for transformer area side energy storage electric quantity

Abstract

The invention relates to the field of transformer area side energy storage batteries, in particular to a self-adaptive adjustment method and system for transformer area side energy storage electric quantity. The method comprises the following steps: firstly calculating the residual cycle number with relatively large influence degree on the service life of the battery as one influence factor, then evaluating the influence of a plurality of influence factors on the service life of the battery and establishing an influence matrix, then establishing a service life influence matrix according to the influence matrix, and further establishing a service life matrix containing each battery. And finally, the to-be-selected batteries and a part of batteries with the maximum service life evaluation score are selected as pre-selected batteries based on the planned energy storage electric quantity, so that the service life of each battery can be balanced, and the overall service life of the transformer area energy storage system is prolonged to the maximum extent. The problem that in mountainous areas where only part of energy storage batteries can be used for charging and discharging in part of time periods, if all the batteries are used for storing energy at the same time, the service life of a large number of batteries is wasted is solved.

Description

Technical Field

[0001] The present invention relates to the field of substation-side energy storage batteries, and in particular to a method and system for adaptively regulating substation-side energy storage power. Background Art

[0002] The demand for electricity in the weak distribution network in mountainous areas is unstable, and peak electricity consumption is time-limited and seasonal. The substation lines and distribution transformers are prone to heavy overload problems. The existing technology often sets up energy storage systems in the substations, so that electricity can be stored during peak and valley periods, and the electricity stored in the energy storage system can be called upon during peak periods to ensure electricity consumption in mountainous areas. The batteries of the energy storage system are often composed of multiple lithium iron phosphate batteries, and the battery life will be greatly reduced during repeated charging and discharging.

[0003] However, due to the time-period and seasonal changes in electricity consumption in mountainous areas, there is a large gap between peak electricity consumption and peak-valley electricity consumption. In some periods, even a small number of lithium iron phosphate batteries may be used to meet the power supply needs in mountainous areas. At this time, if all batteries are used for energy storage at the same time, the batteries will be charged and discharged synchronously, which will cause a large amount of battery life to be wasted. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method and system for adaptively adjusting the amount of energy storage power on the substation side, which solves the problem that in mountainous areas where only part of the energy storage batteries can be used for charging and discharging during certain periods of time, if all batteries are used for energy storage at the same time, a large amount of battery life will be wasted.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for adaptively regulating the amount of energy stored in a substation includes a plurality of batteries connected in parallel. The method includes the following steps:

[0007] S1. Obtain the planned energy storage capacity of the current area, the current capacity of each battery and the battery performance parameters;

[0008] S2. predicting the remaining number of cycles of each battery according to the battery performance parameters of each battery;

[0009] S3, setting a number of influencing factors affecting the battery life including the number of remaining cycles, and establishing a life matrix for each battery according to the influencing factors and corresponding values ​​of each battery life;

[0010] S4, determining in turn whether the current power of each battery is greater than the lower limit of energy storage power;

[0011] If yes, the battery is marked as a candidate battery;

[0012] If not, proceed to the next step;

[0013] S5. According to the candidate batteries and the life matrix, several batteries with the largest life assessment scores are selected as pre-selected batteries to meet the planned energy storage capacity.

[0014] Preferably, in step S2, the following steps are specifically included:

[0015] S21, obtaining battery performance parameters including the standard ambient temperature of each battery, the actual ambient temperature of the battery, and the average current of the battery charging and discharging state;

[0016] S22. Calculate the standard charge and discharge cycle number of the battery according to the battery performance parameters; the calculation formula for the standard charge and discharge cycle number is:

[0017]

[0018] In the above formula, n represents the cumulative number of conversion rounds of the battery to complete a round of charge and discharge state conversion, N(n) represents the standard number of battery charge and discharge rounds under the corresponding conditions when the battery charge and discharge state is converted in the nth round, DOD(n) represents the battery discharge depth corresponding to the battery charge and discharge state conversion in the nth round, H is the charge and discharge coefficient, α is the DOD index factor, β is the temperature index factor, T ref is the standard ambient temperature, T rec (n) represents the average actual temperature of the environment where the battery is located when the battery charge and discharge state is converted in the nth round, It represents the average current of the battery in the charging state when the battery charge and discharge state is converted in the nth round. γ represents the charging exponential factor. It represents the average current of the battery in the discharge state when the battery charge and discharge state is converted in the nth round, and δ represents the discharge index factor;

[0019] S23, calculating the aging factor of the battery according to the standard charge and discharge cycles of the battery; the calculation formula of the aging factor is:

[0020]

[0021] In the above formula, L(n) and L(n-1) respectively represent the aging factor of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round and the n-1th round, ε represents the charge and discharge round number conversion factor, N(n-1) represents the standard charge and discharge round number of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, A represents the aging constant, DOD(n), DOD(n-1) and DOD(n-2) respectively represent the battery discharge depth corresponding to the battery charge and discharge state conversion in the nth round, n-1 round and n-2 round;

[0022] S24. Calculate the remaining number of cycles of the battery according to the aging factor of the battery. The calculation formula of the remaining number of cycles of the battery is:

[0023] SN(n)=L(n)·SN 0 -SN(0)

[0024] In the above formula, S(n) is the number of remaining cycles of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, SN(0) represents the number of cycles that the battery has generated when it is put into use, and SN 0 It is the maximum number of cycles of the battery under rated charge and discharge conditions and with a discharge depth of 100%.

[0025] Preferably, in step S3, the following steps are specifically included:

[0026] S31, setting a number of factors affecting battery life including the number of remaining cycles;

[0027] S32. Setting a number of impact levels and corresponding impact indexes;

[0028] S33, sequentially evaluating the influence of any influencing factor on the battery life relative to the other influencing factors, and establishing an influence matrix according to the influence level and the corresponding influence index; the expression of the influence matrix is:

[0029]

[0030] In the above formula, B represents the influence matrix, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor;

[0031] S34. Calculate the weight of any influencing factor according to the influencing matrix; the calculation formula of the weight of any influencing factor is:

[0032]

[0033] In the above formula, ω i' represents the weight of the i'th impact factor, n3 represents the number of impact factors, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor;

[0034] S35. Normalize the weights of the impact factors; the calculation formula for the weight of any impact factor after normalization is:

[0035]

[0036] In the above formula, ω' i' represents the normalized weight of the i'th influencing factor, ω i' represents the weight of the i'th influencing factor before normalization, and n3 represents the number of influencing factors;

[0037] S36, calculating the random consistency ratio of the influence matrix, and determining whether the consistency ratio is less than the consistency ratio threshold;

[0038] If yes, proceed to step S37;

[0039] If not, return to step S33;

[0040] S37. Construct a life impact matrix according to the normalized weight of any influencing factor; the expression of the life impact matrix is: C = [ω'1 ω'2 ω'3 … ω' i' ] T , where C represents the life impact matrix, ω' i' represents the normalized weight of the i'th influencing factor;

[0041] S38. Calculate the life evaluation score of each battery according to the life impact matrix of each battery and the numerical value of each impact factor to establish the life matrix of each battery; the expression of the life matrix is:

[0042] S=[S1 S2 S3 … S q T

[0043] in,

[0044]

[0045] In the above formula, S represents the life matrix of each battery, S q represents the life evaluation score of the qth battery, ω' i' (q) represents the weight of the i'th influencing factor after normalization of the qth battery, D i' (q) represents the value of the i'th impact factor of the qth battery, and n3 represents the number of impact factors of the qth battery.

[0046] Preferably, in step S36, the following steps are specifically included:

[0047] S361. Calculate the maximum eigenvalue of the influence matrix. The calculation formula for the maximum eigenvalue is:

[0048]

[0049] In the above formula, λ max represents the maximum eigenvalue of the influence matrix, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor in the impact matrix, and n3 represents the number of impact factors;

[0050] S362. Calculate the consistency of the influence matrix according to its maximum eigenvalue; the calculation formula of the consistency of the influence matrix is:

[0051]

[0052] In the above formula, CI represents the consistency of the influence matrix, λ max represents the maximum eigenvalue of the influence matrix, and n3 represents the number of influence factors;

[0053] S363. Calculate the consistency ratio according to the consistency of the influence matrix; the calculation formula of the consistency ratio is:

[0054]

[0055] In the above formula, CR represents the consistency ratio of the influence matrix, CI represents the consistency of the influence matrix, and RI represents the random consistency index of the influence matrix;

[0056] S364, determining whether the consistency ratio is less than a consistency ratio threshold;

[0057] If yes, proceed to step S37;

[0058] If not, return to step S33.

[0059] Preferably, in step S5, the following steps are specifically included:

[0060] S51, setting the full charge capacity and the minimum charge capacity of the battery with the largest life evaluation score in the power distribution matrix;

[0061] S52, select several batteries with the largest life evaluation scores and the batteries to be selected in the life matrix as pre-selected batteries, and construct a power allocation matrix, and mark the remaining batteries as inventory batteries; the expression of the power allocation matrix is:

[0062] I=[I1 I2 I3 … I j ] T

[0063] In the above formula, I represents the power distribution matrix, I j represents the life evaluation score of the jth battery in the pre-selected batteries;

[0064] S53, calculating the planned power of the remaining batteries in the pre-selected batteries according to the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score value in the power allocation matrix;

[0065] S54, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power;

[0066] If yes, then mark several inventory batteries with the largest life evaluation scores as pre-selected batteries, and then return to step S53;

[0067] If not, proceed to step S55;

[0068] S55. Output the planned power of each battery in the currently pre-selected batteries, and charge each battery according to the planned power.

[0069] Preferably, in step S52, the number of preselected batteries is equal to the ratio of the planned energy storage capacity to the fully charged capacity and is rounded up to an integer value obtained.

[0070] Preferably, in step S53, the following steps are specifically included:

[0071] S531, obtaining the full charge capacity and the minimum charge capacity of the battery with the largest life evaluation score in the power distribution matrix;

[0072] S532, calculating the planned power of any battery in the pre-selected batteries according to the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score value in the power allocation matrix; the calculation formula for the planned power of any battery in the pre-selected batteries is:

[0073]

[0074] In the above formula, Q j represents the planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 Indicates the full charge capacity of the battery with the largest life assessment score in the power allocation matrix;

[0075] S533, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the current power of the corresponding battery;

[0076] If yes, go to the next step;

[0077] If not, mark the current power level of the battery as the first power level;

[0078] S534, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the minimum power;

[0079] If yes, then go to S54;

[0080] If not, the planned electricity quantity is marked as the second electricity quantity;

[0081] S535, marking the maximum value of the first power and the second power as the third power;

[0082] S536, calculating a second planned power of any battery among the pre-selected batteries according to the third power, the slow charge power, and the life evaluation score ratio of any battery among the pre-selected batteries to the battery with the largest life evaluation score in the power allocation matrix;

[0083] S537, marking the second planned power of each battery as the planned power, and then returning to step S533.

[0084] Preferably, in step S54, the following steps are specifically included:

[0085] S541, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power;

[0086] If yes, proceed to step S542;

[0087] If not, proceed to step S55;

[0088] S542, calculating the absolute value of the difference between the planned energy storage capacity and the sum of the planned capacity of each battery in the pre-selected batteries to obtain the energy storage capacity difference;

[0089] S543, calculating the ratio of the energy storage capacity difference to the planned capacity with the smallest value among the pre-selected batteries, and rounding up to obtain the battery addition amount;

[0090] S544. Mark several inventory batteries with the largest life assessment scores as pre-selected batteries. The number of selected inventory batteries is equal to the amount of batteries added, and then return to step S53.

[0091] Preferably, in step S536, the expression of the second planned power is:

[0092]

[0093] In the above formula, represents the second planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 represents the full charge capacity of the battery with the largest life evaluation score in the power allocation matrix, Q 3 Indicates the third electrical quantity.

[0094] The technical solution also provides a system for implementing a method for adaptively adjusting the amount of energy storage power on the substation side. The system includes: a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for adaptively adjusting the amount of energy storage power on the substation side is implemented.

[0095] Compared with the prior art, the present invention provides a method and system for adaptively adjusting the amount of energy stored in a substation, which has the following beneficial effects:

[0096] 1. First, the remaining number of cycles that has a greater impact on the battery life is calculated as one of the influencing factors. Then, the impact of several influencing factors on the battery life is evaluated and a life impact matrix is ​​established. Further, a life matrix containing each battery is established to visually observe the life of each battery. Finally, based on the planned energy storage capacity, the candidate batteries and the batteries with the largest life evaluation scores are selected as pre-selected batteries, so as to balance the life of each battery and maximize the overall service life of the energy storage system in the substation.

[0097] 2. The present invention calculates the standard number of charge and discharge cycles of the battery in the current environment based on the battery performance parameters. Since the standard number of charge and discharge cycles is inconsistent with the environment in which the battery has been used, the aging factor is used to evaluate and calculate the remaining number of cycles of the battery. This parameter is used as an important factor affecting the battery life.

[0098] 3. The present invention establishes an influence matrix according to various influencing factors, and then evaluates the life assessment score of each influencing factor according to the parameter value of each influencing factor and the normalized influence matrix, so as to facilitate the observation of the life of each battery and the selection of pre-selected batteries.

[0099] 4. The present invention reasonably selects a certain number of pre-selected batteries according to the planned energy storage capacity and allocates the corresponding storage capacity, so that some batteries can be reasonably selected for use to meet the energy storage needs of the substation, so as to maximize the overall service life of the substation energy storage system.

[0100] 5. When establishing the life matrix of the present invention, it is not necessary to accurately calculate the actual service life of the battery. It is only necessary to evaluate the relative high and low levels of the life of each battery through the life matrix to complete the subsequent pre-selected battery screening. In comparison, the calculation process is simpler. BRIEF DESCRIPTION OF THE DRAWINGS

[0101] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0102] Figure 1 The present invention is a flow chart of the method for adaptively adjusting the amount of energy stored in the substation. DETAILED DESCRIPTION

[0103] In order to make the above-mentioned purposes, 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 implementation methods, so that the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0104] Those skilled in the art can understand that all or part of the steps in the following embodiments can be completed by instructing the relevant hardware through a program, so the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0105] In order to solve the problem that in mountainous areas where only some energy storage batteries can be used for charging and discharging in some periods of time, if all batteries are used for energy storage at the same time, a large amount of battery life will be wasted, the present invention provides an adaptive regulation method for energy storage power at the substation side. When only some batteries are used to meet the peak and valley power regulation in mountainous areas, some batteries are reasonably selected for power storage, and the life of each battery is calculated. With the goal of balancing the life of each battery, the planned power of each battery is reasonably allocated, including several batteries connected in parallel, such as Figure 1 As shown, the adjustment method includes the following steps:

[0106] S1. Obtain the planned energy storage capacity of the current area, the current capacity of each battery and the battery performance parameters; the energy storage system in an area includes a number of batteries, the number of which is aimed to meet the area power capacity requirements during design.

[0107] S2. Predict the remaining number of cycles of each battery according to the battery performance parameters of each battery; the remaining number of cycles is difficult to obtain directly through the battery management system, so it needs to be calculated. This parameter is highly correlated with the battery life, and is related to the battery design parameters, the working environment temperature and the actual charge and discharge state of the battery. Therefore, it is calculated based on this parameter to facilitate the subsequent more accurate construction of the battery life matrix. Since the standard number of charge and discharge cycles is inconsistent with the environment in which the battery has been used, the remaining number of cycles cannot be obtained by subtraction. Therefore, the aging factor is used for evaluation to calculate the remaining number of cycles of the battery. In step S2, the following steps are specifically included:

[0108] S21. Obtain battery performance parameters including the standard ambient temperature of each battery, the actual ambient temperature of the battery, and the average current of the battery in the charging and discharging states; the standard ambient temperature refers to the temperature of the working environment expected when the battery is designed, and is a basic design parameter.

[0109] S22. Calculate the standard charge and discharge cycles of the battery according to the battery performance parameters; one round of standard charge and discharge means that the battery completes one charge and discharge, and the calculation formula for the standard charge and discharge cycles is:

[0110]

[0111] In the above formula, n represents the cumulative number of conversion rounds of the battery to complete a round of charge and discharge state conversion, N(n) represents the standard charge and discharge rounds of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, that is, under this condition, the standard number of charge and discharge rounds that the battery in the current state can complete, DOD(n) represents the battery discharge depth corresponding to the nth round of battery charge and discharge state conversion, H is the charge and discharge coefficient, α is the DOD index factor, β is the temperature index factor, T ref is the standard ambient temperature, T rec (n) represents the average actual temperature of the environment where the battery is located when the battery charge and discharge state is converted in the nth round, It represents the average current of the battery in the charging state when the battery charge and discharge state is converted in the nth round. γ represents the charging exponential factor. It represents the average current of the battery in the discharge state when the battery charge and discharge state is converted in the nth round, and δ represents the discharge index factor;

[0112] S23, calculating the aging factor of the battery according to the standard charge and discharge cycles of the battery; the calculation formula of the aging factor is:

[0113]

[0114] In the above formula, L(n) and L(n-1) respectively represent the aging factor of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round and the n-1th round, ε represents the charge and discharge round number conversion factor, N(n-1) represents the standard charge and discharge round number of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, A represents the aging constant, DOD(n), DOD9n-1) and DOD(n-2) respectively represent the battery discharge depth corresponding to the battery charge and discharge state conversion in the nth round, n-1 round and n-2 round;

[0115] S24. Calculate the remaining number of cycles of the battery according to the aging factor of the battery; the remaining number of cycles refers to the number of cycles that the battery can still complete. One cycle refers to the process of the battery completing one charge and discharge. The calculation formula for the remaining number of cycles of the battery is:

[0116] SN(n)=L(n)·SN 0 -SN(0)

[0117] In the above formula, S(n) is the number of remaining cycles of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, SN(0) represents the number of cycles that the battery has generated when it is put into use, and SN 0 It is the maximum number of cycles of the battery under rated charge and discharge conditions and with a discharge depth of 100%.

[0118] S3, setting a number of influencing factors affecting the battery life including the remaining number of cycles, and establishing a life matrix of each battery according to the influencing factors of the battery life and the corresponding values; the influencing factors generally include charge and discharge cut-off voltage, charge and discharge rate, resistance and battery capacity, etc. Different influencing factors have different influences on the battery life. In order to conduct a comprehensive evaluation, in step S3, the following steps are specifically included:

[0119] S31, setting a number of factors affecting battery life including the number of remaining cycles;

[0120] S32. Set several impact levels and corresponding impact indexes; the setting method may be as shown in the following Table 1:

[0121]

[0122] S33, sequentially evaluating the influence of any influencing factor on the battery life relative to the other influencing factors, and establishing an influence matrix according to the influence level and the corresponding influence index; the expression of the influence matrix is:

[0123]

[0124] In the above formula, B represents the influence matrix, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor;

[0125] S34. Calculate the weight of any influencing factor according to the influencing matrix; the calculation formula of the weight of any influencing factor is:

[0126]

[0127] In the above formula, ω i' represents the weight of the i'th impact factor, n3 represents the number of impact factors, B i'j' It represents the impact index of the i′th impact factor corresponding to the j′th impact factor;

[0128] S35. Normalize the weights of the impact factors; the calculation formula for the weight of any impact factor after normalization is:

[0129]

[0130] In the above formula, ω′j′ represents the normalized weight of the i′th influencing factor, ω i′ represents the weight of the i′th influencing factor before normalization, and n3 represents the number of influencing factors;

[0131] S36, calculating the random consistency ratio of the influence matrix, and determining whether the consistency ratio is less than the consistency ratio threshold;

[0132] If yes, proceed to step S37;

[0133] If not, return to step S33;

[0134] To further illustrate the calculation method of the random consistency ratio, step S36 specifically includes the following steps:

[0135] S361. Calculate the maximum eigenvalue of the influence matrix. The calculation formula for the maximum eigenvalue is:

[0136]

[0137] In the above formula, λ max represents the maximum eigenvalue of the influence matrix, B i′j' It represents the influence index of the i'th impact factor corresponding to the j'th impact factor in the impact matrix, and n3 represents the number of impact factors;

[0138] S362. Calculate the consistency of the influence matrix according to its maximum eigenvalue; the calculation formula of the consistency of the influence matrix is:

[0139]

[0140] In the above formula, CI represents the consistency of the influence matrix, λ max represents the maximum eigenvalue of the influence matrix, and n3 represents the number of influence factors;

[0141] S363. Calculate the consistency ratio according to the consistency of the influence matrix; the calculation formula of the consistency ratio is:

[0142]

[0143] In the above formula, CR represents the consistency ratio of the influence matrix, CI represents the consistency of the influence matrix, and RI represents the random consistency index of the influence matrix;

[0144] S364, determining whether the consistency ratio is less than a consistency ratio threshold;

[0145] If yes, proceed to step S37;

[0146] If not, return to step S33.

[0147] S37. Construct a lifespan impact matrix according to the normalized weight of any impact factor; the expression of the lifespan impact matrix is: C = [ω′1 ω′2 ω′3 … ω′ i' ] T , where C represents the life impact matrix, ω' i' represents the normalized weight of the i'th influencing factor;

[0148] S38. Construct a life impact matrix according to the normalized weight of any influencing factor; the expression of the life impact matrix is: C = [ω'1 ω'2 ω'3 … ω' i' ] T , where C represents the life impact matrix, ω' i' represents the normalized weight of the i′th influencing factor;

[0149] S37, calculating the life evaluation score of each battery according to the life influence matrix of each battery and the numerical value of each influencing factor to establish the life matrix of each battery; the expression of the life matrix is:

[0150] S=[S1 S2 S3 … S q ] T

[0151] in,

[0152]

[0153] In the above formula, S represents the life matrix of each battery, S q represents the life evaluation score of the qth battery, ω′ i' (q) represents the weight of the i'th influencing factor after normalization of the qth battery, D i' (q) represents the value of the i'th impact factor of the qth battery, and n3 represents the number of impact factors of the qth battery.

[0154] S4, determining in turn whether the current power of each battery is greater than the lower limit of energy storage power; when the power in the battery is less than a certain amount, that is, the battery may be over-discharged during discharge or the power is gradually consumed when not used for a long time, in order to reduce the degree of passivation of the chemical activity of lithium ions, it is necessary to charge it as soon as possible to restore its capacity as much as possible;

[0155] If yes, the battery is marked as a candidate battery; the battery with the candidate battery mark will be charged in the next round of charging to reduce the degree of passivation of lithium ion chemical activity;

[0156] If not, proceed to the next step;

[0157] S5. According to the candidate batteries and the life matrix, several batteries with the largest life evaluation scores are selected as pre-selected batteries to meet the planned energy storage capacity. The battery with the largest life evaluation score indicates that the battery life is relatively long. Therefore, in order to ensure that the batteries in the energy storage system are abandoned at the same time, several batteries with the largest service life evaluation scores need to be selected first to reduce their lifespans so as to keep them balanced with the lifespans of the remaining batteries. In addition, in the process of energy storage, only some batteries are used for charge and discharge energy storage. Compared with using all batteries for charge and discharge, in the process of several rounds of charge and discharge, such as 10 times, the number of charge and discharge rounds of each battery must be less than 10, thereby reducing the number of charge and discharge rounds of the battery, so as to improve the overall life of the energy storage system. In step S5, the following steps are specifically included:

[0158] S51. Set the full charge and minimum charge of the battery with the largest life assessment score in the power allocation matrix; the full charge refers to the maximum charge allowed to be charged in the battery, and the minimum charge refers to the minimum charge allowed to be charged in the battery. The charge of the battery will gradually decrease when not in use, and the minimum charge needs to be greater than the sum of the lower limit of the energy storage and the power consumed when the battery is placed.

[0159] S52, select several batteries with the largest life evaluation scores and the batteries to be selected in the life matrix as pre-selected batteries, and construct a power allocation matrix, mark the remaining batteries as inventory batteries, and the number of pre-selected batteries is equal to the integer value obtained by rounding up the ratio of the planned energy storage capacity to the full charge capacity, so as to approach the actual number of pre-selected batteries required as soon as possible; the expression of the power allocation matrix is:

[0160] I=[I1 I2 I3 … I j ] T

[0161] In the above formula, I represents the power distribution matrix, I j represents the life evaluation score of the jth battery in the pre-selected batteries;

[0162] S53, according to the life evaluation score ratio of any battery in the pre-selected batteries and the battery with the largest life evaluation score value in the power allocation matrix, calculate the planned power of the remaining batteries in the pre-selected batteries; when calculating the planned power, it is also necessary to meet the minimum power requirement and be greater than the current power of the battery. Therefore, in step S53, the following steps are specifically included:

[0163] S531, obtaining the full charge capacity and the minimum charge capacity of the battery with the largest life evaluation score in the power distribution matrix;

[0164] S532, calculating the planned power of any battery in the pre-selected batteries according to the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score value in the power allocation matrix; the calculation formula for the planned power of any battery in the pre-selected batteries is:

[0165]

[0166] In the above formula, Q j represents the planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 Indicates the full charge capacity of the battery with the largest life assessment score in the power allocation matrix;

[0167] S533, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the current power of the corresponding battery;

[0168] If yes, go to the next step;

[0169] If not, mark the current power level of the battery as the first power level;

[0170] S534, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the minimum power;

[0171] If yes, then go to S54;

[0172] If not, the planned electricity quantity is marked as the second electricity quantity;

[0173] S535, marking the maximum value of the first power and the second power as the third power;

[0174] S536, calculating a second planned power of any battery in the pre-selected batteries according to the third power, the slow charge power, and the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score in the power allocation matrix; the expression of the second planned power is:

[0175]

[0176] In the above formula, represents the second planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 represents the full charge capacity of the battery with the largest life evaluation score in the power allocation matrix, Q 3 Indicates the third electrical quantity;

[0177] S537, marking the second planned power of each battery as the planned power, and then returning to step S533. S54, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power;

[0178] If yes, then mark several inventory batteries with the largest life evaluation scores as pre-selected batteries, and then return to step S53;

[0179] If not, proceed to step S55;

[0180] In order to speed up the determination of selecting the number of inventory batteries with the largest life evaluation score to be marked as pre-selected batteries, step S54 specifically includes the following steps:

[0181] S541, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power;

[0182] If yes, proceed to step S542;

[0183] If not, proceed to step S55;

[0184] S542, calculating the absolute value of the difference between the planned energy storage capacity and the sum of the planned capacity of each battery in the pre-selected batteries to obtain the energy storage capacity difference;

[0185] S543, calculating the ratio of the energy storage capacity difference to the planned capacity with the smallest value among the pre-selected batteries, and rounding up to obtain the battery addition amount;

[0186] S544. Mark several inventory batteries with the largest life assessment scores as pre-selected batteries. The number of selected inventory batteries is equal to the amount of batteries added, and then return to step S53.

[0187] S55. Output the planned power of each battery in the currently pre-selected batteries, and charge each battery according to the planned power.

[0188] When the present invention is implemented, the remaining number of cycles that has a greater impact on the battery life is first calculated as one of the influencing factors, and then the impact of several influencing factors on the battery life is evaluated and a life impact matrix is ​​established, and further a life matrix containing each battery is established, so as to intuitively observe the life of each battery, and finally select the candidate battery and the battery with the largest life evaluation score as the pre-selected battery based on the planned energy storage power, so as to balance the life of each battery and maximize the overall service life of the substation energy storage system.

[0189] Corresponding to the adaptive regulation method of the energy storage power on the substation side provided in the above-mentioned embodiment, the present embodiment also provides a system for implementing the adaptive regulation method of the energy storage power on the substation side. Since the adaptive regulation system of the energy storage power on the substation side provided in the present embodiment corresponds to the adaptive regulation method of the energy storage power on the substation side provided in the above-mentioned embodiment, the implementation method of the adaptive regulation method of the energy storage power on the substation side is also applicable to the adaptive regulation system of the energy storage power on the substation side provided in the present embodiment, and will not be described in detail in the present embodiment.

[0190] The system includes a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, a method for adaptively regulating the amount of energy storage power at the substation side is implemented.

[0191] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. 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 a limitation on the present invention.

Claims

1. A method for adaptively regulating the amount of energy stored in a substation, comprising a plurality of batteries connected in parallel, characterized in that: The adjustment method comprises the following steps: S1. Obtain the planned energy storage capacity of the current area, the current capacity of each battery and the battery performance parameters; S2. predicting the remaining number of cycles of each battery according to the battery performance parameters of each battery; S3, setting a number of influencing factors affecting the battery life including the number of remaining cycles, and establishing a life matrix for each battery according to the influencing factors and corresponding values ​​of each battery life; S4, determining in turn whether the current power of each battery is greater than the lower limit of energy storage power; If yes, the battery is marked as a candidate battery; If not, proceed to the next step; S5. According to the candidate batteries and the life matrix, several batteries with the largest life evaluation scores are selected as pre-selected batteries to meet the planned energy storage capacity.

2. The adaptive adjustment method according to claim 1, characterized in that: In step S2, the following steps are specifically included: S21, obtaining battery performance parameters including the standard ambient temperature of each battery, the actual ambient temperature of the battery, and the average current of the battery charging and discharging state; S22. Calculate the standard charge and discharge cycle number of the battery according to the battery performance parameters; the calculation formula for the standard charge and discharge cycle number is: In the above formula, n represents the cumulative number of conversion rounds of the battery to complete a round of charge and discharge state conversion, N(n) represents the standard number of battery charge and discharge rounds under the corresponding conditions when the battery charge and discharge state is converted in the nth round, DOD(n) represents the battery discharge depth corresponding to the battery charge and discharge state conversion in the nth round, H is the charge and discharge coefficient, α is the DOD index factor, β is the temperature index factor, T ref is the standard ambient temperature, T rec (n) represents the average actual temperature of the environment where the battery is located when the battery charge and discharge state is converted in the nth round, It represents the average current of the battery in the charging state when the battery charge and discharge state is converted in the nth round. γ represents the charging exponential factor. It represents the average current of the battery in the discharge state when the battery charge and discharge state is converted in the nth round, and δ represents the discharge index factor; S23, calculating the aging factor of the battery according to the standard number of charge and discharge cycles of the battery; The calculation formula of aging factor is: In the above formula, L(n) and L(n-1) respectively represent the aging factor of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round and the n-1th round, ε represents the charge and discharge round number conversion factor, N(n-1) represents the standard charge and discharge round number of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, A represents the aging constant, DOD(n), DOD(n-1) and DOD(n-2) respectively represent the battery discharge depth corresponding to the battery charge and discharge state conversion in the nth round, n-1 round and n-2 round; S24. Calculate the remaining number of cycles of the battery according to the aging factor of the battery. The calculation formula of the remaining number of cycles of the battery is: SN(n)=L(n)·SN 0 -SN(0) In the above formula, S(n) is the number of remaining cycles of the battery under the corresponding conditions when the battery charge and discharge state is converted in the nth round, SN(0) represents the number of cycles that the battery has generated when it is put into use, and SN 0 It is the maximum number of cycles of the battery under rated charge and discharge conditions and with a discharge depth of 100%.

3. The adaptive adjustment method according to claim 1, characterized in that: In step S3, the following steps are specifically included: S31, setting a number of factors affecting battery life including the number of remaining cycles; S32. Setting a number of impact levels and corresponding impact indexes; S33, sequentially evaluating the influence of any influencing factor on the battery life relative to the other influencing factors, and establishing an influence matrix according to the influence level and the corresponding influence index; the expression of the influence matrix is: In the above formula, B represents the influence matrix, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor; S34. Calculate the weight of any influencing factor according to the influencing matrix; the calculation formula of the weight of any influencing factor is: In the above formula, ω i' represents the weight of the i'th impact factor, n3 represents the number of impact factors, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor; S35. Normalize the weights of the impact factors; the calculation formula for the weight of any impact factor after normalization is: In the above formula, ω' i' represents the normalized weight of the i'th influencing factor, ω i' represents the weight of the i'th influencing factor before normalization, and n3 represents the number of influencing factors; S36, calculating the random consistency ratio of the influence matrix, and determining whether the consistency ratio is less than the consistency ratio threshold; If yes, proceed to step S37; If not, return to step S33; S37. Construct a life impact matrix according to the normalized weight of any influencing factor; the expression of the life impact matrix is: C = [ω'1 ω'2 ω'3 … ω' i' ] T , where C represents the life impact matrix, ω' i' represents the normalized weight of the i'th influencing factor; S38. Calculate the life evaluation score of each battery according to the life impact matrix of each battery and the numerical value of each impact factor to establish the life matrix of each battery; the expression of the life matrix is: <h2 style=";text-align:left;direction:ltr">S=[S1 S2 S3 … S<h2 style=";text-align:left;direction:ltr"> q <h2 style=";text-align:left;direction:ltr"> ]<h2 style=";text-align:left;direction:ltr"> T in, In the above formula, S represents the life matrix of each battery, S q represents the life evaluation score of the qth battery, ω' i' (q) represents the weight of the i'th influencing factor after normalization of the qth battery, D i' (q) represents the value of the i'th impact factor of the qth battery, and n3 represents the number of impact factors of the qth battery.

4. The adaptive adjustment method according to claim 3, characterized in that: In step S36, the following steps are specifically included: S361. Calculate the maximum eigenvalue of the influence matrix. The calculation formula for the maximum eigenvalue is: In the above formula, λ max represents the maximum eigenvalue of the influence matrix, B i'j' It represents the impact index of the i'th impact factor corresponding to the j'th impact factor in the impact matrix, and n3 represents the number of impact factors; S362, calculating the consistency of the influence matrix according to its maximum eigenvalue; The calculation formula for the consistency of the impact matrix is: In the above formula, CI represents the consistency of the influence matrix, λ max represents the maximum eigenvalue of the influence matrix, and n3 represents the number of influence factors; S363. Calculate the consistency ratio according to the consistency of the influence matrix; the calculation formula of the consistency ratio is: In the above formula, CR represents the consistency ratio of the influence matrix, CI represents the consistency of the influence matrix, and RI represents the random consistency index of the influence matrix; S364, determining whether the consistency ratio is less than a consistency ratio threshold; If yes, proceed to step S37; If not, return to step S33.

5. The adaptive adjustment method according to claim 1, characterized in that: In step S5, the following steps are specifically included: S51, setting the full charge capacity and the minimum charge capacity of the battery with the largest life evaluation score in the power distribution matrix; S52, select several batteries with the largest life evaluation scores and the batteries to be selected in the life matrix as pre-selected batteries, and construct a power allocation matrix, and mark the remaining batteries as inventory batteries; the expression of the power allocation matrix is: I=[I1 I2 I3 … I j ] T In the above formula, I represents the power distribution matrix, I j represents the life evaluation score of the jth battery in the pre-selected batteries; S53, calculating the planned power of the remaining batteries in the pre-selected batteries according to the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score value in the power allocation matrix; S54, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power; If yes, then mark several inventory batteries with the largest life evaluation scores as pre-selected batteries, and then return to step S53; If not, proceed to step S55; S55. Output the planned power of each battery in the currently pre-selected batteries, and charge each battery according to the planned power.

6. The adaptive adjustment method according to claim 5, characterized in that: In step S52, the number of pre-selected batteries is equal to the ratio of the planned energy storage capacity to the full charge capacity and rounded up to an integer value obtained.

7. The adaptive adjustment method according to claim 5, characterized in that: In step S53, the following steps are specifically included: S531, obtaining the full charge capacity and the minimum charge capacity of the battery with the largest life evaluation score in the power distribution matrix; S532, calculating the planned power of any battery in the pre-selected batteries according to the life evaluation score ratio of any battery in the pre-selected batteries to the battery with the largest life evaluation score value in the power allocation matrix; the calculation formula for the planned power of any battery in the pre-selected batteries is: In the above formula, Q j represents the planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 Indicates the full charge capacity of the battery with the largest life assessment score in the power allocation matrix; S533, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the current power of the corresponding battery; If yes, go to the next step; If not, mark the current power level of the battery as the first power level; S534, determining in sequence whether the planned power of any battery in the pre-selected batteries is greater than the minimum power; If yes, then go to S54; If not, the planned electricity quantity is marked as the second electricity quantity; S535, marking the maximum value of the first power and the second power as the third power; S536, calculating a second planned power of any battery among the pre-selected batteries according to the third power, the slow charge power, and the life evaluation score ratio of any battery among the pre-selected batteries to the battery with the largest life evaluation score in the power allocation matrix; S537, marking the second planned power of each battery as the planned power, and then returning to step S533.

8. The adaptive adjustment method according to claim 5, characterized in that: In step S54, the following steps are specifically included: S541, calculating whether the sum of the planned power of each battery in the pre-selected batteries is less than the planned energy storage power; If yes, proceed to step S542; If not, proceed to step S55; S542, calculating the absolute value of the difference between the planned energy storage capacity and the sum of the planned capacity of each battery in the pre-selected batteries to obtain the energy storage capacity difference; S543, calculating the ratio of the energy storage capacity difference to the planned capacity with the smallest value among the pre-selected batteries, and rounding up to obtain the battery addition amount; S544. Mark several inventory batteries with the largest life assessment scores as pre-selected batteries. The number of selected inventory batteries is equal to the amount of batteries added, and then return to step S53.

9. The adaptive adjustment method according to claim 7, characterized in that: In step S536, the expression of the second planned power is: In the above formula, represents the second planned capacity of the jth battery, I j represents the life evaluation score of the jth battery in the pre-selected batteries, I 0 represents the life evaluation score of the battery with the largest life evaluation score in the power allocation matrix, Q 0 represents the full charge capacity of the battery with the largest life evaluation score in the power allocation matrix, Q 3 Indicates the third electrical quantity.

10. A regulation system for implementing the adaptive regulation method according to any one of claims 1 to 9, characterized in that: It includes a processor and a memory, the memory is used to store a computer program, and when the computer program is executed by the processor, the method for adaptively regulating the amount of energy storage power at the substation side as described in any one of claims 1 to 9 is implemented.

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