Multi-time scale energy storage configuration method and system for removing peak load

Abstract

The invention discloses a multi-time-scale energy storage configuration method and system for removing peak load, and relates to the technical field of power systems, and the configuration method comprises the following steps: generating a peak load fragment set based on an annual load curve; constructing a peak clipping load set under different durations based on the peak clipping load fragment set; calculating peak clipping load values under different durations, and sorting the peak clipping load values according to the durations from small to large to generate a peak clipping load distribution diagram; calculating the multi-time scale energy storage equivalent unit peak clipping cost under different durations; and according to the peak clipping load distribution diagram, determining power required by energy storage at different time scales. By constructing the peak clipping load distribution diagram, energy storage of different time scales is optimized and combined, the energy storage configuration cost can be reduced, calculation is simple, practicability is easy, and the peak clipping target is achieved with the lowest cost.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a multi-time scale energy storage configuration method and system for eliminating peak loads. Background Art

[0002] In order to meet short-term peak load demand, additional investment in power sources and power grids will greatly reduce the efficiency of power system operation. Energy storage has the characteristics of low-peak charging, peak-peak discharge, and load fluctuation smoothing, and is an effective means to reduce peak loads.

[0003] In order to alleviate the peak load pressure of the power system, existing research results have optimized the configuration of energy storage capacity. However, the existing technology not only has complex models and is difficult to solve, but also only considers energy storage of a single duration during configuration. The prices of energy storage at different time scales vary greatly. Generally, the price of 1 2-hour energy storage is 20% lower than that of 2 1-hour energy storage. At present, relevant departments also require unified configuration of 1 or 2 hours in new energy supporting energy storage, but there may be a mismatch between energy storage at a unified time scale and the load characteristics of each province, resulting in excessively high investment costs. Therefore, it is urgent to propose an energy storage optimization configuration method that can consider different time scales to improve the utilization efficiency of energy storage and reduce the electricity cost of the whole society. Summary of the invention

[0004] In order to solve the deficiencies in the prior art, the present invention provides a multi-time scale energy storage configuration method and system for removing peak loads. By constructing a peak load distribution diagram, energy storage of different durations is optimized and combined to achieve the peak shaving target at the lowest cost.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a multi-time scale energy storage configuration method for eliminating peak loads, the configuration method comprising the following steps: Generate a peak load segment set based on the annual load curve; Based on the peak load fragment set, the peak load set with different durations is constructed; Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram; Calculate the equivalent unit peak shaving cost of energy storage at multiple time scales with different durations; According to the peak load distribution diagram, the power required for energy storage at different time scales is determined.

[0006] In a preferred embodiment, generating a peak load segment set based on an annual load curve comprises the following steps: Based on the 8760-hour annual load curve, the peak shaving boundary is set, and the load points beyond the peak shaving boundary are defined as peak load points; the peak shaving load point is defined as the difference between the peak load point and the peak shaving boundary, and the continuous peak shaving load points are combined into a segment to construct the peak shaving load segment set. S i ,in, i =1,2,...... n , n is the number of fragments.

[0007] In a preferred embodiment, constructing peak load sets with different durations based on the peak load segment sets includes the following steps: For peak load shaving segments S i , generate peak load set according to duration S i,t ,in, t is the duration of peak load reduction. t =1,2,...... m , m Peak load shaving segment i Maximum duration of the session; S i,1 Peak load shaving segment i Peak load shedding set lasting 1 hour; S i,2 Peak load shaving segment i Peak load shedding set lasting 2 hours; S i,m Peak load shaving segment i continued m hourly peak load shaving set; make S i,t,j For peak load shaving S i,t Elements in j ; Peak load reduction S i,1 have m elements, peak load shaving set S i,m There is only 1 element; make S i,t,j,k For peak load shaving S i,t Elements in j The peak load points in each peak load set S i,t The elements in t Peak load reduction point.

[0008] In a preferred embodiment, the peak load values ​​under different durations are calculated and sorted from small to large according to the duration to generate a peak load distribution diagram, including the following steps: For peak load reduction S i,t Elements in j , the minimum value of the peak load point represents the element j The continuous load value; P i,t,j Indicates peak load shaving segment i Duration is t Elements of the hour set j The load value is: P i,t,j =min{ S i,t,j,k} Take the peak load segment i Duration is t The maximum load value of all elements in the hourly set is the peak load shaving segment. i Duration is t Peak load reduction value per hour P i,t , as follows: P i,t =max{ P i,t,j} against t The duration of the hour is taken as the maximum value of the peak load value in all the peak load shaving segments, which is the duration of t Peak load reduction value per hour P t , as follows: P t =max{ P i,t} Will P t Arrange them from small to large in duration and generate a peak load distribution diagram based on duration.

[0009] In a preferred embodiment, calculating the equivalent unit peak shaving cost of energy storage at multiple time scales under different durations includes the following steps: If the energy storage duration is greater than or equal to the duration of the peak load shaving, the energy storage cost is allocated according to the duration of the peak load shaving, which is: U t,b = C b / t in: t The duration of peak load shaving; b is the energy storage duration; U t,b The energy storage time is b The equivalent unit peak shaving cost; C b The time scale is b Energy storage investment costs; If the energy storage duration is less than the duration of the peak load shedding, the cost of supplementing the insufficient energy storage is calculated based on the duration of the peak load shedding: U t,b = C b / b + U t-b,t-b in, tb is the duration not covered by energy storage; U t-b,t-b The equivalent unit peak shaving cost of energy storage that needs to be supplemented for the duration; Duration of each peak load reduction t , calculate the minimum equivalent unit peak shaving cost U t : U t =min{ U t,b} in: U t for t Minimum equivalent unit peak shaving cost.

[0010] In a preferred embodiment, according to the peak load distribution diagram, determining the power required for energy storage at different time scales includes the following steps: The minimum equivalent unit peak shaving costs corresponding to each duration are sorted from small to large. According to the peak shaving load distribution diagram, the duration energy storage of the minimum equivalent unit peak shaving cost is preferentially used to cover the peak shaving load of the corresponding duration in the peak shaving load distribution diagram. The required energy storage power is the power difference between the peak shaving load corresponding to the duration and the configured energy storage. Then, the energy storage for the required duration is sequentially configured from small to large until the peak shaving load distribution diagram is completely covered by energy storage.

[0011] A multi-time scale energy storage configuration system for removing peak loads, comprising a peak load fragment set generation module, a peak load set construction module, a peak load distribution diagram generation module, an equivalent unit peak shaving cost calculation module, and an energy storage configuration module; Peak shaving load segment set generation module: generates peak shaving load segment sets based on annual load curve; Peak shaving load set construction module: construct peak shaving load sets with different durations based on the peak shaving load fragment set; Peak load distribution diagram generation module: calculates the peak load values ​​under different durations, sorts them from small to large according to the duration, and generates a peak load distribution diagram; Equivalent unit peak shaving cost calculation module: calculates the equivalent unit peak shaving cost of energy storage at multiple time scales under different durations; Energy storage configuration module: Determine the power required for energy storage at different time scales based on the peak load distribution diagram.

[0012] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. The present invention generates a peak-shaving load fragment set based on annual load data and peak-shaving demand, and constructs a peak-shaving load set under different durations; then generates a peak-shaving load distribution diagram according to the duration; finally, calculates the equivalent unit peak-shaving cost of energy storage of various time scales, fills the peak-shaving load distribution diagram in order of cost from small to large, and determines the power required for energy storage at different time scales. The present invention optimizes and combines energy storage at different time scales by constructing a peak-shaving load distribution diagram, which not only reduces the energy storage configuration cost, but also is simple to calculate, easy to use, and achieves the peak-shaving target at the lowest cost.

[0013] 2. The energy storage configuration method of the present invention can not only be used to eliminate the peak load of the entire power system, but also can be used to solve the heavy overload problem of a local substation or transmission line, avoiding high power supply and power grid investment to meet short-term peak loads, and improving the operating efficiency, investment benefits and safety margin of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0015] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a combined diagram of the 8760-hour annual load curve and the peak-shaving boundary; Figure 3 It is the peak load distribution diagram; Figure 4 Configuring the resulting plot for energy storage. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example 1: Please refer to Figure 1 As shown, the multi-time scale energy storage configuration method for eliminating peak loads described in this embodiment includes the following steps: Generate a peak load segment set based on the annual load curve; Based on the peak load fragment set, the peak load set with different durations is constructed; Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram; Calculate the equivalent unit peak shaving cost of energy storage at multiple time scales with different durations; According to the peak load distribution diagram, the power required for energy storage at different time scales is determined.

[0018] Generating a peak load segment set based on the annual load curve includes the following steps: Based on the 8760-hour annual load curve, the peak shaving boundary is set, and the load points beyond the peak shaving boundary are defined as peak load points; the peak shaving load point is defined as the difference between the peak load point and the peak shaving boundary, and the continuous peak shaving load points are combined into a segment to construct the peak shaving load segment set. S i ,in, i =1,2,...... n , n is the number of fragments.

[0019] Constructing peak load sets with different durations based on the peak load fragment set includes the following steps: For peak load shaving segments S i , generate peak load set according to duration S i,t ,in, t is the duration of peak load reduction. t =1,2,...... m , m Peak load shaving segment i Maximum duration of the session; S i,1 Peak load shaving segment i Peak load shedding set lasting 1 hour;S i,2 Peak load shaving segment i Peak load shedding set lasting 2 hours; S i,m Peak load shaving segment i continued m Hourly peak load reduction set.

[0020] make S i,t,j For peak load shaving S i,t Elements in j Obviously, the peak load reduction S i,1 have m elements, peak load shaving set S i,m There is only 1 element.

[0021] make S i,t,j,k For peak load shaving S i,t Elements in j The peak load points in each peak load set S i,t The elements in t Peak load reduction point. S i,1 Peak load shaving segment i A peak load shaving set that lasts for 1 hour, so each element has only one peak load shaving point; S i,2 Peak load shaving segment i A peak load shaving set lasting 2 hours, each element of which has 2 peak load shaving points; S i,m Peak load shaving segment i continued m The peak load set of the hour, each element of which has m Peak load reduction point.

[0022] Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram, including the following steps: For peak load shaving S i,t Elements in j , the minimum value of the peak load point represents the element j The continuous load value; P i,t,j Indicates peak load shaving segment i Duration is t Elements of the hour set j The load value is: P i,t,j =min{ S i,t,j,k} (1) Take the peak load segment i Duration is t The maximum load value of all elements in the hourly set is the peak load shaving segment. i Duration is t Peak load reduction value per hour P i,t , as follows: P i,t =max{ P i,t,j} (2) against t The duration of the hour is taken as the maximum value of the peak load value in all the peak load shaving segments, which is the duration of t Peak load reduction value per hour P t , as follows: P t =max{ P i,t} (3) Will P t Arrange them from small to large in duration and generate a peak load distribution diagram based on duration.

[0023] Calculating the equivalent unit peak shaving cost of energy storage at different time scales under different durations includes the following steps: If the energy storage duration is greater than or equal to the duration of the peak load shaving, the energy storage cost is allocated according to the duration of the peak load shaving, which is: U t,b = C b / t (4) in: t The duration of peak load shaving; b is the energy storage duration; U t,b The energy storage time is b The equivalent unit peak shaving cost; C b The time scale is b energy storage investment cost.

[0024] If the energy storage duration is less than the duration of the peak load shedding, the cost of supplementing the insufficient energy storage is calculated based on the duration of the peak load shedding: Ut,b = C b / b + U t-b,t-b (5) in, tb is the duration not covered by energy storage; U t-b,t-b The equivalent unit peak shaving cost of the energy storage that needs to be supplemented for a certain period of time.

[0025] C b It is mainly composed of initial investment cost, operation and maintenance cost, and residual value of fixed assets. The specific calculation formula is as follows: C b =(C inv +C OM + C rec ) / n (6) Where: C inv is the initial investment cost of the energy storage system, C OM is the operation and maintenance cost of the energy storage system, is the residual value of fixed assets, n It is the service life of the energy storage system.

[0026] They are: (7) (8) (9) Where: is the unit power cost; represents the unit capacity cost; P Indicates the rated charging and discharging power of the energy storage power station; E Indicates the rated capacity of the energy storage power station; N Indicates the maximum service life of the energy storage system; represents the operation and maintenance cost coefficient of energy storage, γ The residual value recovery rate of the energy storage power station can be estimated according to a certain proportion of the initial investment cost; r is the discount rate.

[0027] Duration of each peak load reduction t , calculate its minimum equivalent unit peak shaving cost U t : U t =min{ U t,b} (10) in: U t for t Minimum equivalent unit peak shaving cost.

[0028] According to the peak load distribution diagram, the power required for energy storage at different time scales is determined, including the following steps: The minimum equivalent unit peak shaving costs corresponding to each duration are sorted from small to large. According to the peak shaving load distribution diagram, the duration energy storage of the minimum equivalent unit peak shaving cost is preferentially used to cover the peak shaving load of the corresponding duration in the peak shaving load distribution diagram. The required energy storage power is the power difference between the peak shaving load corresponding to the duration and the configured energy storage. Then, the energy storage for the required duration is sequentially configured from small to large until the peak shaving load distribution diagram is completely covered by energy storage.

[0029] Embodiment 2: A multi-time scale energy storage configuration method for eliminating peak loads described in this embodiment includes the following steps: (1) Generate a peak load segment set based on the annual load curve; Set the peak shaving boundary and define the load point beyond the peak shaving boundary as the peak load point. Based on the 8760-hour annual load curve, find the peak load point. Figure 2 ; Calculate the difference between the peak load point and the peak shaving boundary, and define the difference as the peak shaving load point; Group the continuous peak shaving load points into a segment, and construct the peak shaving load segment set S i . Wherein, i=1,2,......n, n is the number of segments. In the data given in this embodiment, the corresponding peak load point is found and the difference is calculated, as shown in Table 1: Table 1 Example of peak load shaving segment set (unit: 10,000 kilowatts)

[0030] Among them, fragments S4, S7, S 10 and S 11 It is composed of multiple continuous peak load shaving points.

[0031] (2) Constructing peak load sets with different durations based on the peak load fragment set; For peak load shaving segments S i , generate peak load set according to duration S i,t ,in, t is the duration of peak load reduction. t =1,2,......m , m Peak load shaving segment i Maximum duration of the session; S i,1 Peak load shaving segment i Peak load shedding set lasting 1 hour; S i,2 Peak load shaving segment i Peak load shedding set lasting 2 hours; S i,m Peak load shaving segment i continued m Hourly peak load reduction set.

[0032] make S i,t,j For peak load shaving S i,t Elements in j Obviously, the peak load reduction S i,1 have m elements, peak load shaving set S i,m There is only 1 element.

[0033] make S i,t,j,k For peak load shaving S i,t Elements in j The peak load points in each peak load set S i,t The elements in t Peak load reduction point. S i,1 Peak load shaving segment i A peak load shaving set that lasts for 1 hour, so each element has only one peak load shaving point; S i,2 Peak load shaving segment i A peak load shaving set lasting 2 hours, each element of which has 2 peak load shaving points; S i,m Peak load shaving segment i continued m The peak load set of the hour, each element of which has m Table 2 shows an example of a peak shaving load set in this embodiment: Table 2 Example of peak load shaving set (unit: 10,000 kW)

[0034] (3) Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram; make P i,t,j Indicates peak load shaving segment i Duration is t Elements of the hour set j The load value is: P i,t,j =min{ S i,t,j,k} Take the peak load segment i Duration is t The maximum load value of all elements in the hourly set is the peak load shaving segment. i Duration is t Peak load reduction value per hour P i,t , as follows: P i,t =max{ P i,t,j} against t The duration of the hour is taken as the maximum value of the peak load value in all the peak load shaving segments, which is the duration of t Peak load reduction value per hour P t , as follows: P t =max{ P i,t} Will P t Arrange them from small to large in duration and generate a peak load distribution diagram based on duration.

[0035] For a peak shaving load set with a duration of 1 hour, since each element has only one load point, the peak shaving load value of each element is itself. The peak shaving load values ​​of each element in this embodiment are shown in Table 3: Table 3 Example of calculation process of peak load reduction value for each duration

[0036] From Table 3, we can see that the peak load value of 1 hour is 1.54 million kilowatts; the peak load value of 2 hours is 1.02 million kilowatts; the peak load of 3 hours is 500,000 kilowatts. The peak load values ​​of each duration are arranged from large to small to generate a peak load distribution diagram, see Figure 3 .

[0037] (4) Calculate the equivalent unit peak shaving cost of energy storage at multiple time scales under different durations; If the energy storage duration is greater than or equal to the duration of the peak load shaving, the energy storage cost is allocated according to the duration of the peak load shaving, which is: U t,b = C b / t in: t The duration of peak load shaving; b is the energy storage duration; U t,b The energy storage time is b The equivalent unit peak shaving cost; C b The time scale is b Energy storage investment costs; If the energy storage duration is less than the duration of the peak load shedding, the cost of supplementing the insufficient energy storage is calculated based on the duration of the peak load shedding: U t,b = C b / b + U t-b,t-b in, tb is the duration not covered by energy storage; U t-b,t-b The equivalent unit peak shaving cost of energy storage that needs to be supplemented for the duration; Duration of each peak load reduction t , calculate the minimum equivalent unit peak shaving cost U t : U t =min{ U t,b} in: U t for t Minimum equivalent unit peak shaving cost.

[0038] The basic parameters of various energy storage in this embodiment are shown in Table 4: Table 4 Basic parameters of various energy storage

[0039] The average annual investment cost of various types of energy storage at different time scales is calculated, as shown in Table 5: Table 5 Average annual investment costs of various energy storage systems at different time scales

[0040] From the calculation, it can be seen that for durations of 1 hour and 2 hours, lithium-ion batteries are more economical; for durations of 3 hours or more, lead-acid batteries are more economical.

[0041] Calculate the equivalent unit peak shaving cost of various energy storage types, as shown in Table 6: Table 6 Equivalent unit peak shaving cost of energy storage at various time scales

[0042] Calculate the minimum equivalent unit peak shaving cost corresponding to each duration. For removing a 1-hour peak load, the equivalent unit peak shaving cost of a 1-hour lithium-ion battery is the lowest; for removing a 2-hour peak load, the equivalent unit peak shaving cost of a 2-hour lithium-ion battery is the lowest; for removing a 3-hour peak load, the equivalent unit peak shaving cost of a 3-hour lead-acid battery is the lowest.

[0043] (5) Determine the power required for energy storage at different time scales based on the peak load distribution diagram; The minimum equivalent unit peak shaving costs corresponding to each duration are sorted from small to large. According to the peak shaving load distribution diagram, the duration energy storage of the minimum equivalent unit peak shaving cost is preferentially used to cover the peak shaving load of the corresponding duration in the peak shaving load distribution diagram. The required energy storage power is the power difference between the peak shaving load corresponding to the duration and the configured energy storage. Then, the energy storage for the required duration is sequentially configured from small to large until the peak shaving load distribution diagram is completely covered by energy storage.

[0044] The calculation data in this embodiment are as follows: It can be calculated from Table 6 that the equivalent unit peak shaving cost of a 3-hour lead-acid battery for 3 hours is the lowest, the equivalent unit peak shaving cost of a 2-hour lithium-ion battery for 2 hours is the second, and the equivalent unit peak shaving cost of a 1-hour lithium-ion battery for 1 hour is the highest. Therefore, first use a 3-hour lead-acid battery to fill the peak shaving load that lasts for 3 hours, and the required power is 50-0=500,000 kilowatts; then use a 2-hour lithium-ion battery to fill the peak shaving load that lasts for 2 hours, and the required power is 102-50=520,000 kilowatts; finally, use a 1-hour lithium-ion battery to fill the peak shaving load that lasts for 1 hour, and the required power is 154-102=520,000 kilowatts. At this point, the peak shaving load distribution diagram is completely covered by energy storage, and the energy storage configuration results are shown in the figure. Figure 4 .

[0045] The annual cost required for optimizing energy storage configuration according to the method of the present invention is: 1539 50+1075 52+587 52=163374 (10,000 yuan / year) If the configuration is uniformly based on 1 hour, the annual cost required is: 587 (154+102+50) = 179622 (10,000 yuan / year) If the configuration is uniformly based on 2 hours, the annual cost required is: (154+102+50) / 2 1075=164475 (10,000 yuan / year) The method of the present invention is 1622.48 million yuan / year lower than the annual cost of uniform configuration based on 1 hour duration; and 11.01 million yuan / year lower than the annual cost of uniform configuration based on 2 hours duration. The method of the present invention takes into account the optimal combination of energy storage of different types and time scales, which can not only reduce the cost of energy storage configuration, but also is simple to calculate and easy to use.

[0046] Embodiment 3: A multi-time scale energy storage configuration system for removing peak loads described in this embodiment includes a peak load fragment set generation module, a peak load set construction module, a peak load distribution diagram generation module, an equivalent unit peak load cost calculation module, and an energy storage configuration module; Peak shaving load segment set generation module: generates peak shaving load segment sets based on annual load curve; Peak shaving load set construction module: construct peak shaving load sets with different durations based on the peak shaving load fragment set; Peak load distribution diagram generation module: calculates the peak load values ​​under different durations, sorts them from small to large according to the duration, and generates a peak load distribution diagram; Equivalent unit peak shaving cost calculation module: calculates the equivalent unit peak shaving cost of energy storage at multiple time scales under different durations; Energy storage configuration module: Determine the power required for energy storage at different time scales based on the peak load distribution diagram.

[0047] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0048] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-time scale energy storage configuration method for eliminating peak loads, characterized in that: The configuration method comprises the following steps: Generate a peak load segment set based on the annual load curve; Based on the peak load fragment set, the peak load set with different durations is constructed; Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram; Calculate the equivalent unit peak shaving cost of energy storage at multiple time scales with different durations; According to the peak load distribution diagram, the power required for energy storage at different time scales is determined.

2. A multi-time scale energy storage configuration method for eliminating peak loads according to claim 1, characterized in that: Generating a peak load segment set based on the annual load curve includes the following steps: Based on the 8760-hour annual load curve, the peak shaving boundary is set, and the load points beyond the peak shaving boundary are defined as peak load points; the peak shaving load point is defined as the difference between the peak load point and the peak shaving boundary, and the continuous peak shaving load points are combined into a segment to construct the peak shaving load segment set. S i ,in, i =1,2,...... n , n is the number of fragments.

3. A multi-time scale energy storage configuration method for eliminating peak loads according to claim 2, characterized in that: Constructing peak load sets with different durations based on the peak load fragment set includes the following steps: For peak load shaving segments S i , generate peak load set according to duration S i,t ,in, t is the duration of peak load reduction. t =1,2,...... m , m Peak load shaving segment i Maximum duration of the session; S i,1 Peak load shaving segment i Peak load shedding set lasting 1 hour; S i,2 Peak load shaving segment i Peak load shedding set lasting 2 hours; S i,m Peak load shaving segment i continued m hourly peak load shaving set; make S i,t,j For peak load shaving S i,t Elements in j ; Peak load reduction S i,1 have m elements, peak load shaving set S i,m There is only 1 element; make S i,t,j,k For peak load shaving S i,t Elements in j The peak load points in each peak load set S i,t The elements in t Peak load reduction point.

4. A multi-time scale energy storage configuration method for eliminating peak loads according to claim 3, characterized in that: Calculate the peak load values ​​under different durations, sort them from small to large according to the duration, and generate a peak load distribution diagram, including the following steps: For peak load reduction S i,t Elements in j , the minimum value of the peak load point represents the element j The continuous load value; P i,t,j Indicates peak load shaving segment i Duration is t Elements of the hour set j The load value is: P i,t,j =min{ S i,t,j,k } Take the peak load segment i Duration is t The maximum load value of all elements in the hourly set is the peak load shaving segment. i Duration is t Peak load reduction value per hour P i,t , as follows: P i,t =max{ P i,t,j } against t The duration of the hour is taken as the maximum value of the peak load value in all the peak load shaving segments, which is the duration of t Peak load reduction value per hour P t , as follows: P t =max{ P i,t } Will P t Arrange them from small to large in duration and generate a peak load distribution diagram based on duration.

5. A multi-time scale energy storage configuration method for eliminating peak loads according to claim 4, characterized in that: Calculating the equivalent unit peak shaving cost of energy storage at different time scales under different durations includes the following steps: If the energy storage duration is greater than or equal to the duration of the peak load shaving, the energy storage cost is allocated according to the duration of the peak load shaving, which is: U t,b = C b / t in: t The duration of peak load shaving; b is the energy storage duration; U t,b The energy storage time is b The equivalent unit peak shaving cost; C b The time scale is b Energy storage investment costs; If the energy storage duration is less than the duration of the peak load shedding, the cost of supplementing the insufficient energy storage is calculated based on the duration of the peak load shedding: U t,b = C b / b + U t-b,t-b in, tb is the duration not covered by energy storage; U t-b,t-b The equivalent unit peak shaving cost of energy storage that needs to be supplemented for the duration; Duration of each peak load reduction t , calculate the minimum equivalent unit peak shaving cost U t : U t =min{ U t,b } in: U t for t Minimum equivalent unit peak shaving cost.

6. A multi-time scale energy storage configuration method for eliminating peak loads according to claim 5, characterized in that: According to the peak load distribution diagram, the power required for energy storage at different time scales is determined, including the following steps: The minimum equivalent unit peak shaving costs corresponding to each duration are sorted from small to large. According to the peak shaving load distribution diagram, the duration energy storage of the minimum equivalent unit peak shaving cost is preferentially used to cover the peak shaving load of the corresponding duration in the peak shaving load distribution diagram. The required energy storage power is the power difference between the peak shaving load corresponding to the duration and the configured energy storage. Then, the energy storage for the required duration is sequentially configured from small to large until the peak shaving load distribution diagram is completely covered by energy storage.

7. A multi-time scale energy storage configuration system for eliminating peak loads, used to implement the configuration method according to any one of claims 1 to 6, characterized in that: It includes a peak shaving load segment set generation module, a peak shaving load set construction module, a peak shaving load distribution diagram generation module, an equivalent unit peak shaving cost calculation module, and an energy storage configuration module; Peak shaving load segment set generation module: generates peak shaving load segment sets based on annual load curve; Peak shaving load set construction module: construct peak shaving load sets with different durations based on the peak shaving load fragment set; Peak load distribution diagram generation module: calculates the peak load values ​​under different durations, sorts them from small to large according to the duration, and generates a peak load distribution diagram; Equivalent unit peak shaving cost calculation module: calculates the equivalent unit peak shaving cost of energy storage at multiple time scales under different durations; Energy storage configuration module: Determine the power required for energy storage at different time scales based on the peak load distribution diagram.

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