A multi-time scale energy storage configuration method and system for eliminating peak loads

Abstract

The present invention discloses a multi-time scale energy storage configuration method and system for eliminating peak loads, which relates to the technical field of power systems. The configuration method includes the following steps: generating a peak load shaving segment set based on the annual load curve; constructing peak load shaving sets with different durations based on the peak load shaving segment set; calculating the peak load shaving values for different durations and sorting them in ascending order of duration to generate a peak load shaving distribution map; calculating the equivalent unit peak load shaving cost of the multi-time scale energy storage for different durations; and determining the power required for the energy storage at different time scales according to the peak load shaving distribution map. By constructing the peak load shaving distribution map, the present invention optimally combines the energy storage at different time scales, which can not only reduce the energy storage configuration cost, but also has simple calculation and is easy to implement, achieving the peak load shaving target at 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] To meet the short-term peak load demand, additional investment in power sources and power grids will greatly reduce the operating efficiency of the power system. Energy storage has the characteristics of charging during low valleys, discharging during peaks, and suppressing load fluctuations, and is an effective means to eliminate peak loads.

[0003] To relieve the peak shaving pressure of the power system, existing research results have optimized the energy storage capacity configuration. However, the existing technologies not only have complex models and difficult solutions, but also only consider energy storage with a single duration during configuration. The prices of energy storage with different time scales vary greatly. Generally, the price of one 2-hour energy storage is 20% lower than that of two 1-hour energy storages. At present, relevant departments also require unified configuration according to 1 hour or 2 hours in the supporting energy storage for new energy. However, the energy storage with a unified time scale may not match the load characteristics of each province, resulting in too high investment costs. Therefore, it is urgent to propose an optimized configuration method for energy storage 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] To solve the deficiencies in the existing technology, the present invention provides a multi-time-scale energy storage configuration method and system for eliminating peak loads. By constructing a peak shaving load distribution map, the energy storage with different durations is optimized and combined to achieve the peak shaving goal at the lowest cost.

[0005] 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:

[0006] Generating a peak shaving load segment set based on the annual load curve;

[0007] Constructing a peak shaving load set under different durations based on the peak shaving load segment set;

[0008] Calculating the peak shaving load values under different durations, and sorting them from small to large according to the duration to generate a peak shaving load distribution map;

[0009] Calculating the equivalent unit peak shaving cost of multi-time-scale energy storage under different durations;

[0010] Determining the power required for energy storage at different time scales according to the peak shaving load distribution map.

[0011] In a preferred embodiment, generating a peak shaving load segment set based on the annual load curve includes the following steps:

[0012] 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.

[0013] In a preferred embodiment, constructing peak load sets with different durations based on the peak load segment sets includes the following steps:

[0014] 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;

[0015] 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 set S i,m There is only 1 element;

[0016] 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 int A peak shaving load point.

[0017] In a preferred embodiment, calculate the peak shaving load values for different durations, sort them in ascending order of duration, and generate a peak shaving load distribution diagram, including the following steps:

[0018] For the peak shaving load set S i,t Among the elements j , the minimum value of the peak shaving load point represents the load value for the element j lasting; let P i,t,j represent the peak shaving load segment i lasting for t hours in the set of elements j , then there is:

[0019] P i,t,j = min{ S i,t,j,k}

[0020] Take the maximum value of the load values of all elements in the peak shaving load segment i lasting for t hours, which is the peak shaving load value of the peak shaving load segment i lasting for t hours P i,t , as follows:

[0021] P i,t = max{ P i,t,j}

[0022] For a duration of t hours, take the maximum value of the peak shaving load values in all peak shaving load segments, which is the peak shaving load value for a duration of t hours P t , as follows:

[0023] P t = max{ P i,t}

[0024] Arrange P t in ascending order of duration to generate a peak shaving load distribution diagram based on duration.

[0025] 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:

[0026] 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:

[0027] U t,b = C b / t

[0028] 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;

[0029] 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:

[0030] U t,b = C b / b + U t-b,t-b

[0031] in, t-b 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;

[0032] Duration of each peak load reduction t , calculate the minimum equivalent unit peak shaving cost U t :

[0033] U t =min{ U t,b}

[0034] in: U t for t Minimum equivalent unit peak shaving cost.

[0035] 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:

[0036] Sort the minimum equivalent unit peak shaving costs corresponding to each duration from small to large. According to the peak shaving load distribution diagram, first use the energy storage with the duration of the minimum equivalent unit peak shaving cost to cover the peak shaving load corresponding to the corresponding duration in the peak shaving load distribution diagram. The required configured energy storage power is the difference between the peak shaving load corresponding to this duration and the power of the already configured energy storage. Then, configure the required duration energy storage in ascending order until the entire peak shaving load distribution diagram is covered by the energy storage.

[0037] A multi-time scale energy storage configuration system for eliminating peak loads 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;

[0038] Peak shaving load segment set generation module: Generate a peak shaving load segment set based on the annual load curve;

[0039] Peak shaving load set construction module: Construct peak shaving load sets under different durations based on the peak shaving load segment set;

[0040] Peak shaving load distribution diagram generation module: Calculate the peak shaving load values under different durations, sort them from small to large according to the duration, and generate a peak shaving load distribution diagram;

[0041] Equivalent unit peak shaving cost calculation module: Calculate the equivalent unit peak shaving costs of multi-time scale energy storage under different durations;

[0042] Energy storage configuration module: Determine the required power of energy storage at different time scales according to the peak shaving load distribution diagram.

[0043] In the above technical solution, the technical effects and advantages provided by the present invention are as follows:

[0044] 1. The present invention generates a peak shaving load segment set based on annual load data and peak shaving requirements, and constructs peak shaving load sets under different durations; then generates a peak shaving load distribution diagram according to the duration; finally calculates the equivalent unit peak shaving costs of various time scale energy storages, fills the peak shaving load distribution diagram in ascending order of cost, and determines the required power of energy storage at different time scales. By constructing a peak shaving load distribution diagram, the present invention optimally combines energy storages at different time scales, which can not only reduce the energy storage configuration cost, but also has simple calculation and is easy to use, achieving the peak shaving goal at the lowest cost.

[0045] 2. The energy storage configuration method of the present invention can not only be used to eliminate the peak loads of the entire power system, but also be used to solve the heavy overload problems of a certain local substation and transmission line, avoid high costs of power sources and power grids for meeting short-term peak loads, and improve the operation efficiency, investment benefit and safety margin of the power system. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings.

[0047] Figure 1 It is the flowchart of the method of the present invention;

[0048] Figure 2 It is a combined graph of the annual load curve of 8760 hours and the peak shaving boundary;

[0049] Figure 3 It is the peak shaving load distribution map;

[0050] Figure 4 It is the energy storage configuration result graph. Specific embodiments

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0052] Embodiment 1: Please refer to Figure 1 As shown, a multi-time-scale energy storage configuration method for eliminating peak loads in this embodiment, the configuration method includes the following steps:

[0053] Generate a peak shaving load segment set based on the annual load curve;

[0054] Construct peak shaving load sets with different durations based on the peak shaving load segment set;

[0055] Calculate the peak shaving load values at different durations and sort them from small to large according to the duration to generate a peak shaving load distribution map;

[0056] Calculate the equivalent unit peak shaving cost of multi-time-scale energy storage at different durations;

[0057] Determine the power required for energy storage at different time scales according to the peak shaving load distribution map.

[0058] Generating a peak shaving load segment set based on the annual load curve includes the following steps:

[0059] 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.

[0060] Constructing peak load sets with different durations based on the peak load fragment set includes the following steps:

[0061] 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 The peak load reduction set of the hour.

[0062] 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 set S i,m There is only 1 element.

[0063] 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. Si,1 For the peak shaving load segment i A peak shaving load set that lasts for 1 hour, so each element has only 1 peak shaving load point; S i,2 For the peak shaving load segment i A peak shaving load set that lasts for 2 hours, and each of its elements has 2 peak shaving load points; S i,m For the peak shaving load segment i lasting m hours of peak shaving load set, each of its elements has m peak shaving load points.

[0064] Calculate the peak shaving load values for different durations, sort them in ascending order of duration, and generate a peak shaving load distribution diagram, including the following steps:

[0065] For the peak shaving load set S i,t in the element j , the minimum value of the peak shaving load point represents the load value for which the element j lasts; let P i,t,j represent the load value of the element i in the set of peak shaving load segments t lasting for j hours, then there is:

[0066] P i,t,j = min{ S i,t,j,k} (1)

[0067] Take the maximum value of the load values of all elements in the set of peak shaving load segments i lasting for t hours, which is the peak shaving load value of the peak shaving load segment i lasting for t hours P i,t , as follows:

[0068] P i,t = max{ P i,t,j} (2)

[0069] For the duration of t hours, take the maximum value of the peak shaving load values in all peak shaving load segments, which is the peak shaving load value for the duration of t hours P t , as follows:

[0070] P t = max{ P i,t} (3)

[0071] Arrange P t in ascending order of the duration, and generate a peak shaving load distribution map based on the duration.

[0072] Calculate the equivalent unit peak shaving cost of multi-time scale energy storage under different durations, including the following steps:

[0073] If the energy storage duration is greater than or equal to the peak shaving load duration, the energy storage cost is allocated according to the peak shaving load duration, and there is:

[0074] U t,b = C b / t (4)

[0075] Where: t is the peak shaving load duration; b is the energy storage duration; U t,b is the equivalent unit peak shaving cost when the energy storage duration is b ; C b is the energy storage investment cost at the time scale of b ;

[0076] If the energy storage duration is less than the peak shaving load duration, make up for the insufficient energy storage cost according to the peak shaving load duration, and there is:

[0077] U t,b = C b / b + U t-b,t-b (5)

[0078] Wherein, t-b is the duration not covered by the energy storage; U t-b,t-b is the equivalent unit peak shaving cost of the energy storage that needs to make up the duration;

[0079] C b is mainly composed of initial investment cost, operation and maintenance cost, fixed asset residual value, etc., and the specific calculation formula is as follows:

[0080] C b =(C inv +COM + C rec ) / n (6)

[0081] In the formula: 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 salvage value of fixed assets; n is the service life of the energy storage system.

[0082] are respectively:

[0083] (7)

[0084] (8)

[0085] (9)

[0086] In the formula: is the cost per unit power; represents the cost per unit capacity; P represents the rated charge and discharge power of the energy storage power station; E represents the rated capacity of the energy storage power station; N represents the maximum service life of the energy storage system; represents the operation and maintenance cost coefficient of the energy storage; γ is the salvage value recovery rate of the energy storage power station, and can all be estimated according to a certain proportion of the initial investment cost; r is the discount rate.

[0087] For each peak shaving load duration t , calculate its minimum equivalent unit peak shaving cost U t :

[0088] U t = min{ U t,b} (10)

[0089] Among them: U t is t the minimum equivalent unit peak shaving cost at the duration.

[0090] According to the peak shaving load distribution map, determine the power required for energy storage at different time scales, including the following steps:

[0091] Sort the minimum equivalent unit peak shaving costs corresponding to each duration from small to large. According to the peak shaving load distribution diagram, preferentially cover the peak shaving load corresponding to the duration of the minimum equivalent unit peak shaving cost with energy storage for the duration in the peak shaving load distribution diagram. The required configured energy storage power is the difference between the peak shaving load corresponding to this duration and the power of the already configured energy storage; then configure the required duration energy storage in ascending order until the entire peak shaving load distribution diagram is covered by energy storage.

[0092] Embodiment 2: A multi-time scale energy storage configuration method for eliminating peak loads described in this embodiment includes the following steps:

[0093] (1) Generate a peak shaving load segment set based on the annual load curve;

[0094] Set the peak shaving boundary and define the load points exceeding the peak shaving boundary as peak load points. Based on the 8760-hour annual load curve, find the peak load points, see Figure 2 ; Calculate the difference between the peak load point and the peak shaving boundary, and define this difference as the peak shaving load point; form a segment with consecutive peak shaving load points to construct a peak shaving load segment set S i . Where i = 1, 2,... n, and n is the number of segments. In the data given in this embodiment, the corresponding peak load points were found and the differences were calculated, as shown in Table 1:

[0095] Table 1 Example table of peak shaving load segment set (unit: 10,000 kW)

[0096]

[0097] Among them, segment S 4 , S 7 , S 10 and S 11 are composed of multiple consecutive peak shaving load points.

[0098] (2) Construct a peak shaving load set for different durations based on the peak shaving load segment set;

[0099] For the peak shaving load segment set S i , generate a peak shaving load set S i,t according to the duration, where t is the peak shaving load duration, t = 1, 2,... m , m is the peak shaving load segment i with the maximum duration; S i,1 is the peak shaving load set for the peak shaving load segment i with a duration of 1 hour;S i,2 For peak shaving load segments i A peak shaving load set lasting for 2 hours; S i,m For peak shaving load segments i lasting m hours of peak shaving load set.

[0100] Let S i,t,j be the peak shaving load set S i,t in the element j . Obviously, the peak shaving load set S i,1 has m elements, and the peak shaving load set S i,m has only 1 element.

[0101] Let S i,t,j,k be the peak shaving load set S i,t in the element j in the peak shaving load point. Each peak shaving load set S i,t in the element has t peak shaving load points. For example S i,1 is the peak shaving load segment i a peak shaving load set lasting for 1 hour, so each of its elements has only 1 peak shaving load point; S i,2 is the peak shaving load segment i a peak shaving load set lasting for 2 hours, and each of its elements has 2 peak shaving load points; S i,m is the peak shaving load segment i lasting m hours of peak shaving load set, and each of its elements has m peak shaving load points. Table 2 shows the example table of peak shaving load sets in this embodiment:

[0102] Table 2 Example Table of Peak Shaving Load Sets (Unit: 10,000 kW)

[0103]

[0104] (3) Calculate the peak shaving load values under different durations, sort them from small to large according to the duration, and generate a peak shaving load distribution map;

[0105] Let P i,t,j represent the peak shaving load segment i lasting for tElements in the set of hours j For the load value, there is:

[0106] P i,t,j = min{ S i,t,j,k}

[0107] Select the peak shaving load segment i The duration is t The maximum value of the load values of all elements in the set of hours is the peak shaving load segment i The duration is t The peak shaving load value for the duration of hours P i,t , as shown in the following formula:

[0108] P i,t = max{ P i,t,j}

[0109] For t the duration of hours, take the maximum value of the peak shaving load values in all peak shaving load segments, which is the peak shaving load value for the duration of t hours P t , as shown in the following formula:

[0110] P t = max{ P i,t}

[0111] Arrange P t in ascending order of duration to generate a peak shaving load distribution diagram based on duration.

[0112] For the peak shaving load set with a duration of 1 hour, since each element has only 1 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:

[0113] Table 3 Example table for the calculation process of peak shaving load values for each duration

[0114]

[0115] As can be seen from Table 3, the peak shaving load value for a duration of 1 hour is 1.54 million kilowatts; the peak shaving load value for a duration of 2 hours is 1.02 million kilowatts; the peak shaving load for a duration of 3 hours is 0.5 million kilowatts. Arrange the peak shaving load values for each duration from largest to smallest to generate a peak shaving load distribution diagram, as shown in Figure 3 .

[0116] (4)Calculate the equivalent unit peak shaving cost of multi-time scale energy storage under different durations;

[0117] If the energy storage duration is greater than or equal to the peak shaving load duration, the energy storage cost is allocated according to the peak shaving load duration, and there is:

[0118] U t,b = C b / t

[0119] Where: t is the peak shaving load duration; b is the energy storage duration; U t,b The equivalent unit peak shaving cost when the energy storage duration is b ; C b The energy storage investment cost with a time scale of b ;

[0120] If the energy storage duration is less than the peak shaving load duration, the insufficient energy storage cost is supplemented according to the peak shaving load duration, and there is:

[0121] U t,b = C b / b + U t-b,t-b

[0122] Wherein, t-b is the duration not covered by the energy storage; U t-b,t-b is the equivalent unit peak shaving cost of the energy storage that needs to make up the duration;

[0123] For each peak shaving load duration t , calculate the minimum equivalent unit peak shaving cost U t :

[0124] U t =min{ U t,b}

[0125] Where: U t is t the minimum equivalent unit peak shaving cost at the duration.

[0126] In this embodiment, the basic parameters of various energy storages are shown in Table 4:

[0127] Table 4 Basic parameters of various energy storages

[0128]

[0129] Calculate the average annual investment costs of various energy storages at different time scales, as shown in Table 5:

[0130] Table 5 Average Annual Investment Costs of Various Energy Storages at Different Time Scales

[0131]

[0132] It can be measured that for the durations of 1 hour and 2 hours, lithium-ion batteries are more economical; for the duration of 3 hours and above, lead-acid batteries are more economical.

[0133] Calculate the equivalent unit peak shaving costs of various energy storages, as shown in Table 6:

[0134] Table 6 Equivalent Unit Peak Shaving Costs of Energy Storages at Various Time Scales

[0135]

[0136] Calculate the minimum equivalent unit peak shaving costs corresponding to each duration. For shaving the peak load with a duration of 1 hour, the equivalent unit peak shaving cost of the 1-hour lithium-ion battery is the lowest; for shaving the peak load with a duration of 2 hours, the equivalent unit peak shaving cost of the 2-hour lithium-ion battery is the lowest; for shaving the peak load with a duration of 3 hours, the equivalent unit peak shaving cost of the 3-hour lead-acid battery is the lowest.

[0137] (5)Determine the power required for energy storage at different time scales according to the peak shaving load distribution map;

[0138] Sort the minimum equivalent unit peak shaving costs corresponding to each duration from small to large. According to the peak shaving load distribution map, first use the energy storage with the duration corresponding to the minimum equivalent unit peak shaving cost to cover the peak shaving load with the corresponding duration in the peak shaving load distribution map. The power of the energy storage to be configured is the difference between the peak shaving load corresponding to this duration and the power of the already configured energy storage; then configure the energy storage with the required duration in ascending order until the entire peak shaving load distribution map is covered by the energy storage.

[0139] The calculation data in this embodiment is as follows:

[0140] 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 .

[0141] The annual cost required for optimizing energy storage configuration according to the method of the present invention is:

[0142] 1539 50+1075 52+587 52=163374 (10,000 yuan / year)

[0143] If the configuration is uniformly based on 1 hour, the annual cost required is:

[0144] 587 (154+102+50) = 179622 (10,000 yuan / year)

[0145] If the configuration is uniformly based on 2 hours, the annual cost required is:

[0146] (154+102+50) / 2 1075=164475 (10,000 yuan / year)

[0147] 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.

[0148] 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;

[0149] Peak shaving load segment set generation module: generates peak shaving load segment sets based on annual load curve;

[0150] Peak shaving load set construction module: construct peak shaving load sets with different durations based on the peak shaving load fragment set;

[0151] Peak shaving load distribution map generation module: Calculate the peak shaving load values for different durations, sort them in ascending order of duration, and generate a peak shaving load distribution map;

[0152] Equivalent unit peak shaving cost calculation module: Calculate the equivalent unit peak shaving cost of multi-time scale energy storage for different durations;

[0153] Energy storage configuration module: Determine the power required for energy storage at different time scales according to the peak shaving load distribution map.

[0154] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0155] 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 present invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited 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, determine the power required for energy storage at different time scales; 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; 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.

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 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 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 } 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 system for eliminating peak loads, used to implement the configuration method according to any one of claims 1 to 4, 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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