TWI819980B - Electric energy distribution method for site and power conversion system - Google Patents

Abstract

A method for distributing electrical energy, suitable for distributing the electrical energy of Lsites, comprising the following steps: (A) For each site, an AFC frequency modulation service system calculates weights according to a historical execution data and multiple execution rates, and obtains a comprehensive execution; (B) For each site, the AFC frequency modulation service system obtain an evaluation score based on multiple evaluation calculation weights, the comprehensive execution rate, and a battery data; (C) According to the evaluation scores obtained in step (B), the AFC frequency modulation service system groups the sites into Ksite groups, L≧ K＞1; (D) The AFC frequency modulation service system sorts the site groups according to the evaluation scores obtained in step (B); (E) The AFC frequency modulation service system sequentially obtains multiple site groups power allocation execution amount according to a total power distribution amount and multiple site rated power; and (F) For each site group, the AFC frequency modulation service system obtains multiple site power allocation execution amount according to the site groups power allocation execution amount and multiple site rated power.

Description

Electric energy distribution methods for case sites and power conversion systems

The present invention relates to a data exchange method related to the supply or distribution of electric power, and in particular, to a method of electric energy distribution in a field and a power conversion system.

In recent years, governments around the world have vigorously promoted clean energy as the direction of energy transformation and development. Clean energy projects include wind power, solar energy, biofuels, geothermal energy, ocean energy, hydropower and other renewable energy sources. However, as the capacity of renewable energy devices increases, the intermittent power generation characteristics and unpredictability of renewable energy may have an impact on the supply and demand balance of the power system and the operation of the grid.

In order to continue to stabilize the country's electricity demand, Taipower and private companies jointly created an Automatic Frequency Control (AFC) frequency modulation service system. The AFC frequency modulation service system will actively detect the power grid frequency of the previous second. If the frequency suddenly drops, it will dispatch electric energy from the private enterprise's site within a few milliseconds for rapid response and automatic discharge. The AFC frequency regulation service system can help maintain the frequency drift of the power system caused by load fluctuations, thereby maintaining the balance of the power system and improving grid stability.

In addition, each site includes a plurality of power conversion systems, and an energy management system that electrically connects these power conversion systems. When electric energy is dispatched at the site, the energy management system dispatches electric energy from the power conversion systems.

However, existing electric energy distribution methods only consider energy storage capacity, resulting in poor efficiency when dispatching electric energy. Therefore, it is necessary to propose a solution.

Therefore, an object of the present invention is to provide an electric energy distribution method that can improve execution efficiency when dispatching electric energy.

Therefore, the electric energy distribution method of the present invention is suitable for distributing electric energy to L case sites, and is implemented by an automatic frequency control frequency modulation service system. The automatic frequency control frequency modulation service system is communicatively connected to the case sites. The l- th case site includes M _l Power conversion system, the mth power conversion system has N _m battery management systems, L , M _l , N _m >1, , , the automatic frequency control frequency modulation service system stores a plurality of historical case execution data corresponding to the case sites, L pieces of battery data corresponding to the case sites, and a total power allocation for allocating the case sites. Each historical case site execution data includes multiple historical case site execution rates corresponding to multiple different time points. The battery data corresponding to the l- th case site includes a rated capacity of all battery management systems related to the corresponding case site. _{M l} Battery capacity, M _l × N _m corresponding to the rated capacity of the battery management system of the corresponding case, and _{M l} , the electric energy distribution method includes a step (A), a step (B), a step (C), a step (D), a step (E), and a step (F).

In step (A), for each case, the automatic frequency control frequency modulation service system calculates the weight based on the historical execution data and multiple execution rates corresponding to the case, and obtains a comprehensive execution rate.

In this step (B), for each case site, the automatic frequency control frequency modulation service system calculates the weight based on multiple evaluations, the comprehensive execution rate corresponding to the case site, and the battery data corresponding to the case site, and obtains a pair of corresponding The evaluation score of the case.

In this step (C), the automatic frequency control frequency modulation service system groups the case sites into K case site groups based on the evaluation scores corresponding to the case sites, L ≧ K > 1.

In step (D), the automatic frequency control frequency modulation service system sorts the case group groups according to the rating scores corresponding to all cases in the case group group.

In this step (E), the automatic frequency control frequency modulation service system sequentially obtains a plurality of case sites corresponding to the case group groups based on the total power allocation and the case site rated power of the battery data of the case sites. Group power allocation execution amount.

In this step (F), for each case group, the automatic frequency control frequency modulation service system allocates the execution amount according to the case group power corresponding to the case group and the battery data of all cases in the case group. The case site rated power is used to obtain the case site power allocation execution amounts of multiple case sites corresponding to the case site group.

Another object of the present invention is to provide a power distribution method that can improve execution efficiency.

Therefore, the electric energy distribution method of the present invention is suitable for distributing electric energy of M power conversion systems included in a project site, and is implemented by an energy management system included in the project site that is electrically connected to the power conversion systems. Each power conversion system There are N _m battery management systems, M , N _m > 1, , the energy management system stores a site specification output power related to the site at a frequency point f , and M pieces of battery data corresponding to the power conversion system. Each battery data corresponds to the power of the power conversion system. The rated power of the conversion system, N _m respectively correspond to the battery capacities of all battery management systems of the corresponding power conversion system, N _m respectively correspond to the rated capacities of all battery management systems of the corresponding power conversion system, and N _m respectively Corresponding to the battery health of all battery management systems of the corresponding power conversion system, the power distribution method includes one step (G), one step (H), one step (I), one step (J), and one step (K). ), and one step (L).

In this step (G), the energy management system obtains M average battery capacities corresponding to the battery data, and M average battery capacities corresponding to the battery data respectively, based on the battery capacity and battery health of the battery data. Battery health.

In this step (H), for each power conversion system, the energy management system uses an average battery capacity and an average battery health corresponding to the power conversion system, and a plurality of charging priority scores corresponding to the fuzzy semantics. A charging score attribution function, a plurality of capacity attribution functions respectively corresponding to multiple battery capacity fuzzy semantics, a plurality of health attribution functions respectively corresponding to multiple battery health fuzzy semantics, and a fuzzy rule base including multiple rules, using a The fuzzy inference algorithm infers a charging priority score associated with the power conversion system.

In step (I), the energy management system groups the power conversion systems into P power groups according to the charging priority scores corresponding to the power conversion systems, M ≧ P > 1.

In step (J), the energy management system sorts the power groups according to the charging priority scores corresponding to all power conversion systems of the power groups.

In this step (K), the energy management system sequentially obtains a plurality of power groups corresponding to the power groups at the frequency point f based on the site specification output power and the power conversion system rated power of the battery data. Standardized output power.

In this step (L), for each power group, the energy management system obtains based on the site specification output power, the power group specification output power corresponding to the power group, and the power conversion system rated power of the battery data. The multiple power conversion systems respectively corresponding to the power group have standardized output powers at the frequency point f .

Another object of the present invention is to provide a power distribution method that can improve execution efficiency.

Therefore, the electric energy distribution method of the present invention is suitable for distributing electric energy of M power conversion systems included in a project site, and is implemented by an energy management system included in the project site that is electrically connected to the power conversion systems. Each power conversion system There are N _m battery management systems, M , N _m > 1, , the energy management system stores a site specification output power related to the site at a frequency point f , and M pieces of battery data corresponding to the power conversion system. Each battery data corresponds to the power of the power conversion system. The rated power of the conversion system, N _m respectively correspond to the battery capacities of all battery management systems of the corresponding power conversion system, N _m respectively correspond to the rated capacities of all battery management systems of the corresponding power conversion system, and N _m respectively Corresponding to the battery health of all battery management systems of the corresponding power conversion system, the power distribution method includes one step (G), one step (H), one step (I), one step (J), and one step (K). ), and one step (L).

In this step (G), the energy management system obtains M average battery capacities corresponding to the battery data, and M average battery capacities corresponding to the battery data respectively, based on the battery capacity and battery health of the battery data. Battery health.

In this step (H), for each power conversion system, the energy management system uses an average battery capacity and an average battery health corresponding to the power conversion system, and a plurality of fuzzy semantics corresponding to a plurality of discharge priority scores respectively. Discharge score attribution functions, multiple capacity attribution functions corresponding to multiple battery capacity fuzzy semantics, multiple health attribution functions corresponding to multiple battery health fuzzy semantics, and a fuzzy rule base including multiple rules, using a The fuzzy inference algorithm infers a discharge priority score associated with the power conversion system.

In this step (I), the energy management system groups the power conversion systems into P power groups according to the discharge priority scores corresponding to the power conversion systems, M ≧ P > 1.

In step (J), the energy management system sorts the power groups according to the discharge priority scores corresponding to all power conversion systems of the power groups.

In this step (K), the energy management system sequentially obtains a plurality of power groups corresponding to the power groups at the frequency point f based on the site specification output power and the power conversion system rated power of the battery data. Standardized output power.

In this step (L), for each power group, the energy management system obtains based on the site specification output power, the power group specification output power corresponding to the power group, and the power conversion system rated power of the battery data. The multiple power conversion systems respectively corresponding to the power group have standardized output powers at the frequency point f .

The effect of the present invention is to use the automatic frequency control frequency modulation service system to divide the case sites into groups based on the evaluation scores calculated by considering the weights, comprehensive execution rates, and battery data, and then group the case sites according to all the cases in the case site groups. Based on the evaluation scores corresponding to each case, the case groups are sorted to obtain the power allocation execution amount of the case groups in order. Finally, the case power allocation execution amount is obtained based on the power allocation execution amount of each case group to improve The automatic frequency control frequency regulation service system performs efficiently when dispatching electric energy. In addition, the energy management system divides the power conversion systems into groups according to the charging or discharging priority scores obtained by considering the average battery capacity and average battery health, and then according to the charging or discharging priority scores corresponding to all the power conversion systems of the power groups. The discharge priority score is used to sort the power groups to obtain the standardized output power of the power groups in order. Finally, the standardized output power of the power conversion system is obtained according to the standardized output power of each power group, so as to improve the dispatching of electric energy by the energy management system. time execution efficiency.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are designated with the same numbering.

An embodiment of the power distribution method for a site and a power conversion system of the present invention includes a site power distribution program and a power conversion system power distribution program.

Referring to FIG. 1 , the electric energy distribution procedure of the case site according to this embodiment of the power distribution method of the case site and power conversion system of the present invention is suitable for distributing the power of L case site 2 and is implemented by an automatic frequency control frequency modulation service system 1 . The automatic frequency control frequency modulation service system 1 is communicatively connected to the case sites 2. The l-th case site 2 includes M _l power conversion systems (PCS) 21, and the m -th power conversion system 21 has N _m battery management System (Battery Management System, BMS) 211, L , M _l , N _m >1, , .

It is worth noting that in this embodiment, the automatic frequency control FM service system 1 communicates with the case sites 2 based on the IEC61850 standard, but it is not limited to this.

The automatic frequency control frequency modulation service system 1 stores a plurality of historical case execution data corresponding to the case sites respectively, L pieces of battery data corresponding to the case sites respectively, and a total power allocation for allocating the case sites. quantity. Special attention should be paid to the total scalar of such cases.

Each historical case execution data includes multiple historical case execution rates corresponding to multiple different time points.

The battery data corresponding to the l- th case site includes a case-site rated capacity corresponding to the sum of the rated capacities of all battery management systems in the corresponding case site, and M _l power conversions corresponding to all power conversion systems in the corresponding case site. System rated power, a site rated power that is related to the sum of the rated powers of all power conversion systems of the corresponding site, M _l × N _m battery capacities respectively corresponding to all battery management systems of the corresponding site, M _l × N _m respectively correspond to the rated capacity of the battery management system of the corresponding case site, and M _l × N _m respectively correspond to the battery health of the battery management system of the corresponding case site.

Referring to FIGS. 1 and 2 , the power distribution process of the project site and the power distribution method of the power conversion system according to this embodiment of the present invention includes the following steps.

In step 31, the automatic frequency control frequency modulation service system 1 calculates weights based on the historical execution data and multiple execution rates to obtain a comprehensive execution rate.

Referring to Figure 3, step 31 includes sub-steps 311~312.

In sub-step 311, for each case site, the automatic frequency control frequency modulation service system 1 calculates an average execution rate in the past day based on the historical execution data corresponding to the case site. , the average execution rate over the past 7 days , and an average execution rate of the past 14 days , as shown in the following formula: , , , in, is the historical case execution rate in h hours and s seconds on day d , D is the current date, and H is the current hour.

It is important to note that in this embodiment, in order to confirm whether the actual output power point meets the specified output power, it is necessary to calculate the execution rate every second, and the historical case execution rate of h hours and s seconds on day d The calculation method is as follows: , , , , , in, is the actual total output power corresponding to frequency f , is the expected total output power corresponding to frequency f , is the standard output percentage of each frequency point (as shown in Figure 4), The assigned execution volume of the case site, , , is the standard power comparison percentage, For standard frequency comparison, because The power point is between and time, if for Then the standard output power is ,like for Then the standard output power is .

In sub-step 312, for each case, the automatic frequency control FM service system 1 calculates a weight based on the execution rates, the average execution rate in the past day, the average execution rate in the past 7 days, and the average execution rate in the past 14 days. Execution rate calculates the comprehensive execution rate , as shown in the following formula: , , , in, Calculate the weight for these execution rates.

In step 32, for each case site, the automatic frequency control frequency modulation service system 1 calculates weights based on multiple evaluations, the comprehensive execution rate, and the battery data corresponding to the case site, and obtains a rating score for the case site. The evaluation score S _l corresponding to the l-th case field is as follows: , , , , , in, To calculate the weight for such evaluation, is the battery capacity of the n -th battery management system of the m- th power conversion system in the l- th case site, is the rated capacity of the n -th battery management system of the m- th power conversion system in the l- th case site, is the battery health of the n- th battery management system of the m- th power conversion system in the l- th case site, is the comprehensive execution rate corresponding to the l-th case site, It is the rated capacity of the case site of the lth case site.

In step 33, the automatic frequency control frequency modulation service system 1 groups the case sites into K case site groups according to the evaluation scores corresponding to the case sites, L ≧ K > 1.

Referring to Figure 5, step 33 includes sub-steps 331~334.

In sub-step 331, the automatic frequency control FM service system 1 obtains a case evaluation matrix A based on the evaluation scores corresponding to the cases and a predetermined value, as shown in the following formula: , , , where, S _i is the evaluation score corresponding to the i-th case field, S _j is the evaluation score corresponding to the j -th case field, is the predetermined value.

In sub-step 332, the automatic frequency control frequency modulation service system 1 determines whether the non-zero column vectors and non-zero row vectors of the case evaluation matrix A after deducting an identity matrix I are linearly dependent. When it is determined that the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I after deduction are linearly dependent, it means that there is no clear group, and the process proceeds to sub-step 333; and when it is determined that the non-zero row vector of the case evaluation matrix A - I after deduction is When the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I are linearly independent of each other, the process proceeds to step 334.

It is worth noting that in this example, after deducting the unit matrix from the case evaluation matrix A , zero columns and zero rows will be deducted to generate a reconstruction matrix A ', and the rows of the reconstruction matrix A ' will be determined. /Whether the number of columns is equal to the rank number, if the number of rows/columns of the reconstructed matrix A ' is equal to the rank number, determine whether the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I after deduction are dependent; if If the number of rows/columns of the reconstructed matrix A ' is not equal to the rank number, it is determined that the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I after deduction are not dependent on each other, but this is not limited to this.

In sub-step 333, the automatic frequency control frequency modulation service system 1 adjusts the predetermined value, and repeats sub-steps 331~332 until the non-zero column vector and non-zero row vector of the case evaluation matrix A - I after deduction are linear Not dependent on each other.

In sub-step 334, the automatic frequency control frequency modulation service system 1 groups the case sites into the case site groups according to the evaluation scores corresponding to the case sites, as shown in the following formula: , , , , , , , , where S _l is the evaluation score corresponding to the l -th case field, Indicates whether the l-th case field belongs to the k- th case field group, when the l-th case field belongs to the k -th case field group , when the l-th case field does not belong to the k -th case field group .

For example, suppose L =5, S ₁ =60, S ₂ =61, S ₃ =62, S ₄ =85, S ₅ =81, .

In sub-step 331, the automatic frequency control frequency modulation service system 1 obtains the case evaluation matrix A as shown in the following formula:

In sub-step 332, the deducted case evaluation matrix A - I and the reconstruction matrix A ' are as follows: , , the number of rows/columns of the reconstructed matrix A ' is 3 and the rank is 2, so it is determined that the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I after deduction are dependent on each other, and the process proceeds to step 333.

In sub-step 333, the automatic frequency control FM service system 1 adjusts the predetermined value, for example . When sub-step 331 is performed again, the case evaluation matrix A can be obtained as follows: .

For another example, assume L =5, S ₁ =60, S ₂ =61, S ₃ =80, S ₄ =85, S ₅ =81, .

In sub-step 331, the automatic frequency control frequency modulation service system 1 obtains the case evaluation matrix A as shown in the following formula: .

In sub-step 332, the deducted case evaluation matrix A - I and the reconstruction matrix A ' are as follows: , , the number of rows/columns of the reconstruction matrix A ' is 4 and the rank is 4, so it is determined that the non-zero column vectors and non-zero row vectors of the case evaluation matrix A - I after deduction are not dependent on each other, and the process proceeds to step 334 .

In sub-step 334, the automatic frequency control FM service system 1 grouping process is as follows:

when , , because no case has been assigned to the group( ), so ,because ,therefore , that is, the first The case scene is assigned to the first group.

when , , because there is no. The case scene is assigned to the first group( ), so ,because ,therefore , that is, the first The case scene is assigned to the first group.

when , , because there is no. The case scene is assigned to the first group( and ), so ,because ,therefore .

when , , because there is no. The case scene is assigned to the first group( and ), so ,because ,therefore .

when , , because there is no. The case scene is assigned to the first group( and ), so ,because ,therefore .

when , due to The case scene has been assigned to the group( , ),therefore , .

when , , because no case has been assigned to the group( ), so ,because ,therefore , that is, the first The case scene is assigned to the first group.

when , , because there is no. Case sites are assigned to the group( ), so ,because ,therefore .

when , , because there is no. Case sites are assigned to the group( ), so ,because ,therefore , that is, the first The case scene is assigned to the first group.

when , due to The case scene has been divided into group( , ),therefore , , due to The case scene has been divided into group( , ),therefore , .

when , , because no case has been assigned to the group( ), so ,because ,therefore .

From the above calculation, it can be seen that case sites with similar evaluation scores are classified into the same group. Currently, it can be seen that there are no members in the 3rd group, and the 4th case site has not been grouped yet, so the 4th case site is divided into the third group. , that is, if there is no group, the case scene will form a group by itself.

It is worth noting that in other implementations, other grouping methods can also be used to group cases corresponding to similar evaluation scores into the same group, but this is not a limitation.

In step 34, the automatic frequency control frequency modulation service system 1 sorts the case group groups according to the rating scores corresponding to all cases in the case group groups.

Referring to Figure 6, step 34 includes sub-steps 341~342.

In sub-step 341, for each case group, the automatic frequency control frequency modulation service system 1 calculates an average evaluation score based on the evaluation scores corresponding to all cases corresponding to the case group, wherein the kth case group corresponds to average review score As shown in the following formula: , in, , S _l is the evaluation score corresponding to the l -th case field.

In sub-step 342, the automatic frequency control frequency modulation service system 1 sorts the case group groups according to the average rating scores corresponding to the case group groups, wherein the case group groups with the corresponding average rating scores are higher than the previous ones. order.

In step 35, the automatic frequency control frequency modulation service system 1 sequentially obtains a plurality of case group power corresponding to the case groups according to the total power allocation amount and the case rated power of the battery data of the case groups. Allocate execution volume.

Referring to Figure 7, step 35 includes sub-steps 351~357.

In sub-step 351, the automatic frequency control frequency modulation service system 1 obtains K case group rated powers corresponding to the case groups based on the case rated power of the battery data of the case groups, among which the kth case group Group power rating As shown in the following formula: , in, It is the case site rated power of the battery data of the l case site.

In sub-step 352, initially, k =1.

In sub-step 353, for the kth sorted case group, the automatic frequency control frequency modulation service system 1 determines whether the rated power of the case group corresponding to the case group is less than the remaining power allocation amount of a case group. At the initial time, that is, when k = 1, the remaining power allocation amount of the case group is the total power allocation amount. When it is determined that the rated power of the case group corresponding to the case group is less than the remaining power allocation amount of the case group, the process proceeds to sub-step 354; and when it is determined that the rated power of the case group corresponding to the case group is not less than the case group When the remaining power allocation amount of the field group is determined, the process proceeds to sub-step 355.

In sub-step 354, for the kth sorted case group, the automatic frequency control frequency modulation service system 1 uses the case group rated power corresponding to the case group as the case group power allocation execution amount corresponding to the case group, The remaining power allocation amount of the case group is deducted from the rated power of the case group corresponding to the case group to update the remaining power allocation amount of the case group.

In sub-step 355, for the kth sorted site group, the automatic frequency control frequency modulation service system 1 uses the remaining power allocation amount as the site group power allocation execution amount corresponding to the site group, and then uses the remaining power allocation amount of the power group The power allocation amount is updated to 0.

In sub-step 356, the automatic frequency control frequency modulation service system 1 determines whether the k -th case group is the K -th case group, that is, it determines whether k = K. When it is determined that the k -th case group is not the K -th case group, that is, k ≠ K , the process proceeds to sub-step 357; and when it is determined that the k -th case group is the K -th case group, Case group, that is, when k = K , proceed to step 36.

In sub-step 357, the automatic frequency control FM service system 1 sorts the k + 1th case group, that is, k = k + 1, and repeats sub-steps 353 to 355 until k = K.

It is worth noting that sub-steps 351~356 can be expressed as follows: , , , , , in, is the k -th case group in order, The power allocation execution amount is allocated to the case group power corresponding to the case group ranked first, is the rated power of the case group corresponding to the case group ranked first, is the remaining power allocation amount of the case group corresponding to the case group ranked first, is the total power allocation, Allocate the execution amount to the case group power corresponding to the k + 1th sorted case group, is the rated power of the case group corresponding to the k +1th sorted case group, is the remaining power allocation amount of the case group corresponding to the k +1th sorted case group, is the rated power of the case group corresponding to the kth sorted case group, is the rated power of the case group corresponding to the kth sorted case group.

It should be noted again that the backup amount of the case group corresponding to the kth case group As shown in the following formula , in, is the rated power of the case group corresponding to the kth case group, The execution amount is allocated to the power of the case group corresponding to the kth case group.

In step 36, for each case group, the automatic frequency control frequency modulation service system 1 allocates the execution amount according to the case group power corresponding to the case group and the battery data of all cases in the case group. The rated power is used to obtain the case power allocation execution amounts of multiple case sites corresponding to the case site group. Among them, the case field power allocation execution amount corresponding to the l-th case field of the k-th case field group As shown in the following formula: , , , in, It is the rated power of the case group corresponding to the l- th case group of the k -th case group.

It is worth noting that in other implementations, for each case group, the automatic frequency control frequency modulation service system 1 can also be based on the case group backup amount corresponding to the case group, the case group corresponding to the case group The group rated power, and the case rated power of the battery data of all cases in the case group, obtain multiple case backup volumes of the cases respectively corresponding to the case group. Among them, the case site backup amount corresponding to the l-th case site of the k- th case site group As shown in the following formula: , , .

Referring to FIG. 8 , the power conversion system power distribution procedure of this embodiment of the power distribution method for a project site and a power conversion system according to the present invention is suitable for distributing the power of M power conversion systems 21 included in a project site 2 . The field 2 includes an energy management system (EMS) 22 electrically connected to the power conversion systems 21. Each power conversion system 21 has N _m battery management systems 211, M , N _m > 1, .

The energy management system 22 stores a site specification output power related to the site 2 at a frequency point f , and M pieces of battery data corresponding to the power conversion system 21 respectively.

Each battery data corresponds to the rated power of the power conversion system of the power conversion system, N _m corresponds to the battery capacity of all battery management systems of the corresponding power conversion system, and N _m corresponds to all the battery management systems of the corresponding power conversion system. The rated capacity of the battery management system, and the battery health of all battery management systems of N _m corresponding to the corresponding power conversion system.

Referring to FIG. 8 and FIG. 9 , the power distribution process of the power conversion system of the embodiment of the power distribution method of the project site and the power conversion system of the present invention includes the following steps.

In step 41, the energy management system 3 obtains M average battery capacities corresponding to the battery data and M average battery health respectively corresponding to the battery data based on the battery capacity and battery health of the battery data. Spend. Among them, the average battery capacity corresponding to the m- th power conversion system and average battery health As shown in the following formula: , , , in, is the rated capacity of the nth battery management system of the mth power conversion system, is the sum of the rated capacities of all battery management systems of the m- th power conversion system.

In step 42, for each power conversion system, the energy management system 3 uses an average battery capacity and an average battery health level corresponding to the power conversion system, and a plurality of charging scores respectively corresponding to a plurality of charging priority scores with fuzzy semantics. Attribution functions, a plurality of capacity attribution functions corresponding to multiple battery capacity fuzzy semantics, a plurality of health attribution functions corresponding to multiple battery health fuzzy semantics, and a fuzzy rule base including multiple rules, using a fuzzy inference The algorithm derives a charging priority score associated with the power conversion system.

The fuzzy semantics of the charging priority scores are one low-speed charging, one medium-speed charging, and one high-speed charging, and the charging scores belong to functions As shown in the following formula: The charging fraction attribution function corresponding to the low-speed charging : , corresponding to the charging fraction attribution function of the medium-speed charging : , corresponding to the charging fraction attribution function of the high-speed charging : .

The fuzzy semantics of these battery capacities are a low capacity, a medium capacity, and a high capacity, and the capacities belong to functions As shown in the following formula: Capacity attribution function corresponding to the low capacity : , the capacity attribution function corresponding to the medium capacity : , the capacity attribution function corresponding to the high capacity : .

The fuzzy semantics of these battery health levels include a low health level, a medium health level, and a high health level, and these health levels are attributed to functions As shown in the following formula: The health attribution function corresponding to the low health : , corresponding to the health attribute function of the medium health : , the health attribution function corresponding to the high health : .

The fuzzy rule base is shown in Table 1 below: high capacity medium capacity low capacity high health Medium speed charging high speed charging high speed charging medium health low speed charging Medium speed charging high speed charging low health low speed charging low speed charging Medium speed charging Table 1

Referring to Figure 10, step 42 includes sub-steps 421~423.

In sub-step 421, for each power conversion system, the energy management system 3 performs fuzzification according to the charging score attribution functions, the capacity attribution functions, and the health attribution functions corresponding to the power conversion system, To generate a fractional fuzzy set including multiple fractional state attributions, a capacity fuzzy set including multiple capacity state attributions, and a health fuzzy set including multiple health state attributions, as shown in Figure 11 .

In sub-step 422, for each power conversion system, the energy management system 3 determines the average battery capacity, the average battery health, the capacity fuzzy set, the health fuzzy set, and the score fuzzy set corresponding to the power conversion system. The set, and the fuzzy rule base are used to obtain a plurality of inference results respectively corresponding to the rules in the fuzzy rule base.

In sub-step 423, for each power conversion system, the energy management system 3 performs defuzzification based on the inference results corresponding to the power conversion system to obtain the charging priority score.

In step 43, the energy management system 3 groups the power conversion systems into P power groups according to the charging priority scores corresponding to the power conversion systems, M ≧ P > 1.

Referring to Figure 12, step 43 includes sub-steps 431~434.

In sub-step 431, the energy management system 3 obtains a power conversion system priority matrix B according to the charging priority scores corresponding to the power conversion systems and a predetermined value, as shown in the following formula: , , , in, is the charging priority score of the i- th power conversion system, is the charging priority score of the j- th power conversion system, is the predetermined value.

In sub-step 432, the energy management system 3 determines whether the non-zero column vectors and non-zero row vectors of the power conversion system priority matrix B minus an identity matrix I are linearly dependent. When it is determined that the non-zero column vector and the non-zero row vector of the deducted power conversion system priority matrix B - I are linearly dependent, it means that there is no clear group, and the process proceeds to sub-step 432; and when it is determined that the deducted When the non-zero column vectors and non-zero row vectors of the power conversion system priority matrix B - I are linearly independent, the process proceeds to step 434.

In sub-step 433, the energy management system 3 adjusts the predetermined value and repeats sub-steps 431~432 until the non-zero column vectors and non-zero row vectors of the deducted power conversion system priority matrix B - I are linearly inconsistent. depend on each other.

In sub-step 434, the energy management system 3 groups the power conversion systems into the power groups according to the charging priority scores corresponding to the power conversion systems, as shown in the following formula: , , , , , , , , in, Indicates whether the m -th power conversion system belongs to the p -th power group, when the m -th power conversion system belongs to the p -th power group , when the m -th power conversion system does not belong to the p- th power group .

In step 44 , the energy management system 3 sorts the power groups according to the charging priority scores corresponding to all power conversion systems of the power groups.

Referring to Figure 13, step 44 includes sub-steps 441~442.

In sub-step 441, for each power group, the energy management system 3 calculates an average priority score based on the charging priority scores corresponding to all power conversion systems corresponding to the power group, where the average priority score corresponding to the p- th power group priority score As shown in the following formula: , in, , S _m is the charging priority score corresponding to the m -th power conversion system.

In sub-step 442, the energy management system 3 sorts the power groups according to the average priority scores corresponding to the power groups, wherein the power groups with corresponding higher average priority scores have a higher order.

It is worth noting that in other implementations, in step 42, for each power conversion system, the energy management system 3 can also correspond to multiple discharge priorities according to the average battery capacity, the average battery health, and multiple The fuzzy semantics of the discharge fraction attribution function, the capacity attribution function, the health attribution function, and another fuzzy rule base are used to deduce a discharge priority score related to the power conversion system using the fuzzy inference algorithm. . In step 43, the energy management system 3 can also group the power conversion systems into P' power groups according to the corresponding discharge priority scores of the power conversion systems, M ≧ P' > 1. In step 44, the energy management system 3 can also sort the power groups according to the discharge priority scores corresponding to all power conversion systems of the power groups, but is not limited to this.

Among them, the fuzzy semantics of the discharge priority scores are a low-speed discharge, a medium-speed discharge, and a high-speed discharge. The discharge score attribution functions corresponding to the low, medium, and high-speed discharges and the charge scores corresponding to the low, medium, and high-speed charges The attribution functions are the same. This other fuzzy rule base is shown in Table 2 below: high capacity medium capacity low capacity high health high speed discharge high speed discharge medium speed discharge medium health high speed discharge medium speed discharge low speed discharge low health medium speed discharge low speed discharge low speed discharge Table 2

In step 45, the energy management system 3 sequentially obtains a plurality of power group specifications corresponding to the power groups at the frequency point f based on the site specification output power and the power conversion system rated power of the battery data. Output power.

Referring to Figure 14, step 45 includes sub-steps 451~457.

In sub-step 451, the energy management system 3 obtains P power group rated powers respectively corresponding to the power groups according to the power conversion system rated power of the battery data, wherein the p- th power group rated power As shown in the following formula: , in, is the rated power of the m- th power conversion system.

In sub-step 452, initially, p =1.

In sub-step 453, for the p -th ranked power group, the energy management system 3 determines whether the rated power of the power group corresponding to the power group is less than the remaining power allocation amount of a power group. At the initial time, that is, when p = 1, the remaining power allocation amount of the power group is the standard output power of the site. When it is determined that the rated power of the electric power group corresponding to the electric power group is less than the remaining power allocation amount of the electric power group, the process proceeds to sub-step 454; and when it is determined that the rated power of the electric power group corresponding to the electric power group is not less than the residual power allocation amount of the electric power group When, the process proceeds to sub-step 455.

In sub-step 454, for the p -th ranked power group, the energy management system 3 uses the power group rated power corresponding to the power group as the power group specification output power corresponding to the power group, and allocates the remaining power of the power group The rated power of the electric power group corresponding to the electric power group is deducted to update the remaining power allocation of the electric power group.

In sub-step 455, for the p -th ranked power group, the energy management system 3 uses the remaining power allocation amount of the power group as the power group specification output power corresponding to the power group, and then updates the remaining power allocation amount of the power group as 0.

In sub-step 456, the energy management system 3 determines whether the p -th ranked power group is the P -th ranked power group, that is, determines whether p = P. When it is determined that the p -th power group is not the P -th power group, that is, p ≠ P , the process proceeds to sub-step 457; and when it is determined that the p -th power group is the P -th power group, That is, when p = P , proceed to step 46.

In sub-step 457, the energy management system 3 sorts the power group p +1, that is, p = p +1, and repeats sub-steps 453~455 until p = P.

It is worth noting that sub-steps 451~456 can be expressed as follows: , , , , , in, is the p -th power group, It is the standardized output power of the power group corresponding to the power group ranked first at the frequency point f , is the rated power of the power group corresponding to the power group ranked first, is the remaining power allocation amount of the power group corresponding to the power group ranked first, is the standard output power for this case, is the standardized output power of the corresponding power group at the frequency point f for the p +1th power group, is the rated power of the power group corresponding to the p +1th power group at the frequency point f , is the remaining power allocation amount of the power group corresponding to the power group ranked p +1, is the rated power of the power group corresponding to the p -th power group, is the rated power of the electric power group corresponding to the p-th ranked electric power group.

In step 46, for each power group, the energy management system 3 obtains multiple values based on the site group standard output power, the power group standard output power corresponding to the power group, and the power conversion system rated power of the battery data. A power conversion system standard output power corresponding to all power conversion systems of the power group respectively. Among them, the m -th power conversion system has the corresponding power conversion system specification output power at the frequency point f . As shown in the following formula: , , , in, It is the standardized output power of the power group corresponding to the power group to which the m- th power conversion system belongs at the frequency point f .

In summary, the electric energy distribution method of the project site and the power conversion system of the present invention uses the automatic frequency control frequency modulation service system to calculate the weight, comprehensive execution rate, and battery data of the project sites based on the evaluation scores obtained. Group the case groups, and then sort the case groups according to the evaluation scores corresponding to all cases in the case groups, so as to obtain the power allocation execution volume of the case groups in order, and finally based on the power allocation of each case group The execution amount is obtained by obtaining the execution amount of power distribution in the field to improve the execution efficiency of the automatic frequency control frequency modulation service system when dispatching electric energy. In addition, the energy management system divides the power conversion systems into groups according to the charging or discharging priority scores obtained by considering the average battery capacity and average battery health, and then according to the charging or discharging priority scores corresponding to all the power conversion systems of the power groups. The discharge priority score is used to sort the power groups to obtain the standardized output power of the power groups in order. Finally, the standardized output power of the power conversion system is obtained according to the standardized output power of each power group, so as to improve the dispatching of electric energy by the energy management system. time execution efficiency, so the purpose of the present invention can indeed be achieved.

However, the above are only examples of the present invention. They cannot be used to limit the scope of the present invention. All simple equivalent changes and modifications made based on the patent scope of the present invention and the contents of the patent specification are still within the scope of the present invention. within the scope covered by the patent of this invention.

1: Automatic frequency control FM service system 2:Case scene 21:Power conversion system 211:Battery Management System 22:Energy Management System 31~36: Steps 311~312: Sub-steps 331~334: Sub-steps 341~342: Sub-steps 351~357: Sub-steps 41~46: Steps 421~423: Sub-steps 431~434: Sub-steps 441~442: Sub-steps 451~457: Sub-steps

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: FIG. 1 is a block diagram illustrating an automatic frequency control frequency modulation service system for implementing a field power distribution procedure according to an embodiment of the power distribution method of the field and power conversion system of the present invention; Figure 2 is a flow chart illustrating the electric energy distribution procedure of the case site and the electric energy distribution method of the power conversion system according to the embodiment of the present invention; Figure 3 is a flow chart to assist in explaining the sub-steps of step 31 in Figure 2; Figure 4 is a schematic diagram illustrating a standard output percentage chart for each frequency point; Figure 5 is a flow chart to assist in explaining the sub-steps of step 33 in Figure 2; Figure 6 is a flow chart to assist in explaining the sub-steps of step 34 in Figure 2; Figure 7 is a flow chart to assist in explaining the sub-steps of step 35 in Figure 2; FIG. 8 is a block diagram illustrating an energy management system used to implement the power distribution process of the power conversion system of the embodiment of the present invention; Figure 9 is a flow chart illustrating the power distribution process of the power conversion system in the embodiment of the power distribution method of the case site and the power conversion system of the present invention; Figure 10 is a flow chart to assist in explaining the sub-steps of step 42 in Figure 9; Figure 11 is a schematic diagram illustrating a score fuzzy set, a capacity fuzzy set, and a health fuzzy set; Figure 12 is a flow chart to assist in explaining the sub-steps of step 43 in Figure 9; Figure 13 is a flow chart to assist in explaining the sub-steps of step 44 of Figure 9; and FIG. 14 is a flow chart to assist in explaining the sub-steps of step 45 of FIG. 9 .

31~36: Steps

Claims (15)

An electric energy distribution method, suitable for distributing electric energy to L case sites, implemented by an automatic frequency control frequency modulation service system. The automatic frequency control frequency modulation service system is communicatively connected to the case sites. Each case site includes M _l power conversion systems , each power conversion system has N _m battery management systems, L , M _l , N _m > 1. The automatic frequency control frequency modulation service system stores multiple historical case execution data, L pens corresponding to the corresponding cases respectively. Corresponding to the battery data of the case sites respectively, and a total power allocation amount used to allocate the case sites, each historical case site execution data includes a plurality of historical case site execution rates corresponding to multiple different time points, each A battery data includes a site rated capacity that is related to the sum of the rated capacities of all battery management systems in the corresponding site, a site rated power that is related to the sum of the rated power of all power conversion systems in the corresponding site, M _l × N _m respectively correspond to the battery capacities of all battery management systems in the corresponding case site, M _l × N _m respectively correspond to the rated capacities of the battery management systems in the corresponding case site, and M _l × N _m respectively correspond to the battery health of the battery management systems of the corresponding case sites. The power distribution method includes the following steps: (A) For each case site, based on the historical execution data and multiple executions corresponding to the case site Calculate the weight according to the rate to obtain a comprehensive execution rate; (B) For each case site, calculate the weight based on multiple evaluations, the comprehensive execution rate corresponding to the case site, and the battery data corresponding to the case site, and obtain a pair of the case site The evaluation scores of The evaluation scores are used to rank the case groups; (E) According to the total power allocation and the case rated power of the battery data of the cases, multiple case groups corresponding to the case groups are obtained in sequence Group power allocation execution amount; and (F) for each case group, based on the case group power allocation execution amount corresponding to the case group and the case rated power of the battery data of all cases in the case group, Obtain the case power allocation execution amounts of multiple case sites corresponding to the case site group. The electric energy distribution method as described in claim 1, wherein step (A) includes the following sub-steps: (A-1) For each case, calculate the average execution in the past day based on the historical execution data corresponding to the case. Rate , the average execution rate over the past 7 days , and an average execution rate of the past 14 days , as shown in the following formula: , , , in, is the historical case execution rate of h hours and s seconds on day d , D is the current date, H is the current hour; and (A-2) for each case, calculate the weight based on the execution rate, the average of the past day The comprehensive execution rate is calculated from the execution rate, the average execution rate over the past 7 days, and the average execution rate over the past 14 days. , as shown in the following formula: , , , in, Calculate the weight for these execution rates. The electric energy distribution method as described in claim 1, wherein in step (B), the rating score S _l corresponding to the l-th case site is expressed by the following formula: , , , , , in, To calculate the weight for such evaluation, is the battery capacity of the n -th battery management system of the m- th power conversion system in the l- th case site, is the rated capacity of the n -th battery management system of the m- th power conversion system in the l- th case site, is the battery health of the n- th battery management system of the m- th power conversion system in the l- th case site, is the comprehensive execution rate corresponding to the l-th case site, It is the rated capacity of the case site of the lth case site. The electric energy distribution method as described in claim 1, wherein step (C) includes the following sub-steps: (C-1) Obtain a case site evaluation matrix based on the evaluation scores corresponding to the case sites and a predetermined value. The field evaluation matrix A is shown as follows: , , , where, S _i is the evaluation score corresponding to the i-th case field, S _j is the evaluation score corresponding to the j -th case field, is the predetermined value; (C-2) Determine whether the non-zero column vector and non-zero row vector of the case site evaluation matrix A after deducting an unit matrix I are linearly dependent; (C-3) Determine whether the case site after deduction is When the non-zero column vectors and non-zero row vectors of the evaluation matrix A - I are linearly dependent, adjust the predetermined value and repeat sub-steps (C-1) ~ (C-2) until the case evaluation matrix A is obtained after deduction. - The non-zero column vector and the non-zero row vector of I are linearly independent; (C-4) When it is determined that the non-zero column vector and the non-zero row vector of the case evaluation matrix A after deduction are linearly independent, The case sites are grouped into the case site groups according to the corresponding evaluation scores of the case sites, as shown in the following formula: , , , , , , , , in, Indicates whether the l-th case field belongs to the k- th case field group, when the l-th case field belongs to the k -th case field group , when the l-th case field does not belong to the k -th case field group . The electric energy distribution method as described in claim 1, wherein step (D) includes the following sub-steps: (D-1) For each case group, calculate the corresponding evaluation scores of all cases corresponding to the case group An average evaluation score, in which the average evaluation score corresponding to the k -th case field group As shown in the following formula: , in, , S _l is the evaluation score corresponding to the l -th case field, Indicates whether the l-th case field belongs to the k- th case field group, when the l-th case field belongs to the k -th case field group , when the l-th case field does not belong to the k -th case field group ; and (D-2) Sort the case group groups according to the average rating scores corresponding to the case group groups, where the case group groups with the corresponding average rating scores are ranked higher. The electric energy distribution method as described in claim 1, wherein step (E) includes the following sub-steps: (E-1) According to the case site rated power of the battery data of the case sites, obtain K corresponding to the case sites respectively The rated power of the case group of the group, where the rated power of the kth case group is As shown in the following formula: , in, is the case site rated power of the battery data of the l case site, Indicates whether the l-th case field belongs to the k- th case field group, when the l-th case field belongs to the k -th case field group , when the l-th case field does not belong to the k -th case field group ; (E-2) For the case group ranked first, determine whether the rated power of the case group corresponding to the case group is less than the total power allocation; (E-3) For the case group ranked first, when When it is determined that the rated power of the case group corresponding to the case group is less than the total power allocation amount, the rated power of the case group corresponding to the case group is used as the case group power allocation execution amount corresponding to the case group, and the execution amount of the case group power is obtained. 1. The remaining power allocation amount of the case group after deducting the rated power of the case group corresponding to the case group from the total power allocation amount; (E-4) For the case group ranked first, when it is determined that the case group corresponds to When the rated power of the case group is not less than the total power allocation amount, the total power allocation amount is used as the case group power allocation execution amount corresponding to the case group, and then the remaining power allocation amount of the case group is updated to 0; (E-5) For the sorted case group, , determine whether the rated power of the case group corresponding to the case group is less than the remaining power allocation of the case group; (E-6) For the ranking When it is determined that the rated power of the case group corresponding to the case group is less than the remaining power allocation amount of the case group, the rated power of the case group corresponding to the case group will be used as the case group corresponding to the case group. The power allocation execution amount of the case group is deducted from the remaining power allocation of the case group by the rated power of the case group corresponding to the case group to update the remaining power allocation of the case group; and (E-7) for the ranking number When it is determined that the rated power of the case group corresponding to the case group is not less than the remaining power allocation amount of the case group, the remaining power allocation amount will be implemented as the case group power allocation corresponding to the case group. amount, and then update the remaining power allocation amount of the case group to 0. The electric energy distribution method as described in claim 1, wherein in step (F), the case field power distribution execution amount corresponding to the l-th case field of the k -th case field group As shown in the following formula: , , , , in, is the rated power of the case group corresponding to the l-th case site of the k -th case site group, is the case site rated power of the battery data of the l case site, is the rated power of the k -th case field group, Indicates whether the l-th case field belongs to the k- th case field group, when the l-th case field belongs to the k -th case field group , when the l-th case field does not belong to the k -th case field group . An electric energy distribution method, suitable for distributing electric energy of M power conversion systems included in a project site, implemented by an energy management system included in the project site that is electrically connected to the power conversion systems. Each power conversion system has N _m A battery management system, M , N _m > 1, , the energy management system stores a site specification output power related to the site at a frequency point f , and M pieces of battery data corresponding to the power conversion system. Each battery data corresponds to the power of the power conversion system. The rated power of the conversion system, N _m respectively correspond to the battery capacities of all battery management systems of the corresponding power conversion system, N _m respectively correspond to the rated capacities of all battery management systems of the corresponding power conversion system, and N _m respectively Corresponding to the battery health of all battery management systems of the corresponding power conversion system, the power distribution method includes the following steps: (G) According to the battery capacity and battery health of the battery data, obtain M corresponding battery data respectively the average battery capacity, and M average battery health degrees respectively corresponding to the corresponding battery data; (H) For each power conversion system, according to an average battery capacity and an average battery health degree corresponding to the power conversion system, a plurality of There are charging score attribution functions corresponding to multiple charging priority score fuzzy semantics, multiple capacity attribution functions corresponding to multiple battery capacity fuzzy semantics, multiple health attribution functions corresponding to multiple battery health fuzzy semantics, and a A fuzzy rule base including multiple rules uses a fuzzy inference algorithm to deduce a charging priority score related to the power conversion system; (I) Convert the power according to the corresponding charging priority score of the power conversion system The system is grouped into P power groups, M ≧ P >1; (J) Sort the power groups according to the charging priority scores corresponding to all power conversion systems of the power groups; (K) According to the case specifications The output power and the rated power of the power conversion system of the battery data are obtained in order to obtain a plurality of power group standard output powers respectively corresponding to the power group at the frequency point f ; and (L) for each power group, according to the case The field standard output power, the power group standard output power corresponding to the power group, and the power conversion system rated power of the battery data are obtained to obtain multiple power conversion systems corresponding to all power conversion systems of the power group at the frequency point f Standardized output power. The electric energy distribution method as described in claim 8, wherein in step (H), the charging priority scores have fuzzy semantics of a low-speed charging, a medium-speed charging, and a high-speed charging, and the charging scores belong to functions As shown in the following formula: The charging fraction attribution function corresponding to the low-speed charging : , corresponding to the charging fraction attribution function of the medium-speed charging : , corresponding to the charging fraction attribution function of the high-speed charging : , the fuzzy semantics of these battery capacities are a low capacity, a medium capacity, and a high capacity, and these capacities belong to functions As shown in the following formula: Capacity attribution function corresponding to the low capacity : , the capacity attribution function corresponding to the medium capacity : , the capacity attribution function corresponding to the high capacity : , the fuzzy semantics of the battery health are a low health, a medium health, and a high health, and the health attribution functions As shown in the following formula: The health attribution function corresponding to the low health : , corresponding to the health attribute function of the medium health : , the health attribution function corresponding to the high health : . The electric energy distribution method as described in claim 8, wherein step (H) includes the following sub-steps: (H-1) For each power conversion system, fuzzification is performed based on the charging fraction attribution functions, the capacity attribution functions, and the health attribution functions corresponding to the power conversion system to generate a system including multiple a fractional fuzzy set of fractional state attributions, a capacity fuzzy set including multiple capacity state attributions, and a health fuzzy set including multiple health state attributions; (H-2) For each power conversion system, according to the average battery capacity, the average battery health, the capacity fuzzy set, the health fuzzy set, the fractional fuzzy set, and the fuzzy rule corresponding to the power conversion system library to obtain multiple inference results corresponding to the rules in the fuzzy rule library; and (H-3) For each power conversion system, perform defuzzification according to the inference result corresponding to the power conversion system to obtain the charging priority score. The electric energy distribution method as described in claim 8, wherein step (I) includes the following sub-steps: (I-1) Obtain a power conversion system priority according to the charging priority scores corresponding to the power conversion systems and a predetermined value level matrix, the power conversion system priority matrix B is as follows: , , , in, is the charging priority score of the i- th power conversion system, is the charging priority score of the j- th power conversion system, is the predetermined value; (I-2) Determine whether the non-zero column vector and non-zero row vector of the power conversion system priority matrix B after deducting an identity matrix I are linearly dependent; (I-3) When it is determined that the deducted When the non-zero column vector and non-zero row vector of the power conversion system priority matrix B - I are linearly dependent, adjust the predetermined value and repeat sub-steps (I-1) ~ (I-2) until the deducted The non-zero column vectors and non-zero row vectors of the power conversion system priority matrix B - I are linearly independent; (I-4) When it is determined that the non-zero column vector and the non-zero column vector of the power conversion system priority matrix B - I after deduction are determined When the non-zero row vectors are linearly independent, the power conversion systems are grouped into the power groups according to the corresponding charging priority scores of the power conversion systems, as shown in the following formula: , , , , , , , , in, Indicates whether the m -th power conversion system belongs to the p -th power group, when the m -th power conversion system belongs to the p -th power group , when the m -th power conversion system does not belong to the p- th power group . The electric energy distribution method as described in claim 8, wherein step (J) includes the following sub-steps: (J-1) for each electric power group, calculate according to the charging priority scores corresponding to all power conversion systems corresponding to the electric power group Get an average priority score, where the average priority score corresponding to the p -th power group As shown in the following formula: , in, , S _m is the charging priority score corresponding to the m -th power conversion system, Indicates whether the m -th power conversion system belongs to the p -th power group, when the m -th power conversion system belongs to the p -th power group , when the m -th power conversion system does not belong to the p- th power group ; and (J-2) Sort the power groups according to the average priority score corresponding to the power group, wherein the power group with a corresponding higher average priority score has a higher order. The electric energy distribution method as described in claim 8, wherein step (K) includes the following sub-steps: (K-1) According to the rated power of the power conversion system of the battery data, obtain P electric powers corresponding to the electric power groups. Group rated power, where the p- th power group rated power As shown in the following formula: , in, is the rated power of the m- th power conversion system, Indicates whether the m -th power conversion system belongs to the p -th power group, when the m -th power conversion system belongs to the p -th power group , when the m -th power conversion system does not belong to the p- th power group ; (K-2) For the power group ranked first, determine whether the rated power of the power group corresponding to the power group is less than the standard output power of the site; (K-3) For the power group ranked first, when it is determined that the power group When the rated power of the electric power group corresponding to the electric power group is less than the standard output power of the project site, the rated power of the electric power group corresponding to the electric power group will be regarded as the standard output power of the electric power group corresponding to the electric power group, and a deduction of the standard output power of the project site will be obtained. The remaining power allocation amount of the power group corresponding to the rated power of the power group; (K-4) For the power group ranked first, when it is determined that the rated power of the power group corresponding to the power group is not less than the standard output power of the case site When , the standard output power of the project site is used as the power group standard output power corresponding to the power group, and then the remaining power allocation amount of the power group is updated to 0; (K-5) For the first power group, , determine whether the rated power of the electric power group corresponding to the electric power group is less than the remaining power allocation of the electric power group; (K-6) For the ranking When it is determined that the rated power of the electric power group corresponding to the electric power group is less than the remaining power allocation amount of the electric power group, the rated power of the electric power group corresponding to the electric power group will be used as the electric power group standard output power corresponding to the electric power group, and The remaining power allocation amount of the electric power group is deducted from the rated power of the electric power group corresponding to the electric power group to update the remaining power allocation amount of the electric power group; and (K-7) for the sorted power group When it is determined that the rated power of the electric power group corresponding to the electric power group is not less than the residual power allocation amount of the electric power group, the residual power allocation amount of the electric power group will be used as the electric power group standard output power corresponding to the electric power group, and then the electric power group will The remaining power allocation amount of the power group is updated to 0. The power distribution method as described in claim 8, wherein in step (L), the corresponding power conversion system of the m -th power conversion system at the frequency point f specifies the output power. As shown in the following formula: , , , in, is the standardized output power of the power group corresponding to the power group to which the m- th power conversion system belongs at the frequency point f , is the rated power of the power group corresponding to the power group to which the m- th power conversion system belongs, is the rated power of the p -th power group, Indicates whether the m -th power conversion system belongs to the p -th power group, when the m -th power conversion system belongs to the p -th power group , when the m -th power conversion system does not belong to the p- th power group . An electric energy distribution method, suitable for distributing electric energy of M power conversion systems included in a project site, implemented by an energy management system included in the project site that is electrically connected to the power conversion systems. Each power conversion system has N _m A battery management system, M , N _m > 1, , the energy management system stores a site specification output power related to the site at a frequency point f , and M pieces of battery data corresponding to the power conversion system. Each battery data corresponds to the power of the power conversion system. The rated power of the conversion system, N _m respectively correspond to the battery capacities of all battery management systems of the corresponding power conversion system, N _m respectively correspond to the rated capacities of all battery management systems of the corresponding power conversion system, and N _m respectively Corresponding to the battery health of all battery management systems of the corresponding power conversion system, the power distribution method includes the following steps: (G) According to the battery capacity and battery health of the battery data, obtain M corresponding battery data respectively the average battery capacity, and M average battery health degrees respectively corresponding to the corresponding battery data; (H) For each power conversion system, according to an average battery capacity and an average battery health degree corresponding to the power conversion system, a plurality of Discharge score attribution functions corresponding to multiple fuzzy semantics of discharge priority scores, multiple capacity attribution functions corresponding to multiple fuzzy semantics of battery capacity, multiple health attribution functions corresponding to multiple fuzzy semantics of battery health, and a A fuzzy rule base including a plurality of rules uses a fuzzy inference algorithm to deduce a discharge priority score related to the power conversion system; (I) Convert the power according to the corresponding discharge priority score of the power conversion system The system is grouped into P power groups, M ≧ P >1; (J) Sort the power groups according to the discharge priority scores corresponding to all power conversion systems of the power groups; (K) According to the case specifications The output power and the rated power of the power conversion system of the battery data are obtained in order to obtain a plurality of power group standard output powers respectively corresponding to the power group at the frequency point f ; and (L) for each power group, according to the case The field standard output power, the power group standard output power corresponding to the power group, and the power conversion system rated power of the battery data are obtained to obtain multiple power conversion systems corresponding to all power conversion systems of the power group at the frequency point f Standardized output power.