A method and system for optimizing configuration of hybrid energy storage capacity of distribution network

Abstract

The present invention relates to an optimal configuration method and system for the hybrid energy storage capacity of a distribution network, belonging to the technical field of solar hybrid power generation, and comprising the following steps: Step 1): constructing at least two energy models for power generation in an energy storage device in a certain time period; Step 2): analyzing whether the capacity of the energy model is complete; using a model contour closure method to analyze whether the capacity of each energy model is complete; Step 3): analyzing the capacity stability of each energy model according to the capacity of each energy model; Step 4): colliding each energy model with each other, and selecting an energy model with good capacity stability as the energy output model of the distribution network; The beneficial effect of the present invention: by colliding each energy model with each other, selecting an energy model with good capacity stability as the energy output model of the distribution network, and realizing reasonable capacity configuration of the energy storage device.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric energy storage systems, and in particular relates to a method and system for optimizing the configuration of hybrid energy storage capacity of a distribution network. Background Art

[0002] In recent years, the sustainability of new energy and the concern about environmental problems caused by traditional power generation methods have provided impetus for the development of renewable energy. The introduction of distribution networks and the development of their technologies have provided conditions for achieving a high proportion of renewable energy use. The configuration of energy storage devices of a certain capacity in the distribution network improves the utilization rate of energy, and the energy storage devices in the distribution network serve as backup devices for power supply. The energy storage currently used in the distribution network is energy-type energy storage, which is energy storage after mixing energy generated by different methods (wind energy, solar energy and geothermal energy) or distributed power generation. Because the energy generated by distributed power generation can be mixed, the energy generated by distributed power generation is mixed and then stored in the entire energy storage device.

[0003] The energy generated by distributed generation needs to be stored after mixing. However, in the prior art, distributed generation generates electricity and stores energy randomly (i.e., wind energy, solar energy and geothermal energy may be generated at the same time, or two of wind energy, solar energy and geothermal energy may be randomly selected to generate electricity at the same time). Therefore, the capacity of the energy storage device cannot be reasonably configured. The most important part of the energy storage device is to reasonably configure the capacity of the energy storage device, which plays an important role in the subsequent reliability of the energy storage device. Summary of the invention

[0004] The main technical problem to be solved by the present invention is that the capacity of the energy storage device cannot be reasonably configured. The present invention provides a method and system for optimizing the configuration of the hybrid energy storage capacity of a distribution network. By colliding various energy models with each other, an energy model with good capacity stability is selected as the energy output model of the distribution network, thereby achieving reasonable capacity configuration of the energy storage device.

[0005] In order to achieve the above object, the present invention is implemented by the following technical solutions:

[0006] A method for optimizing the configuration of hybrid energy storage capacity of a distribution network comprises the following steps:

[0007] Step 1): constructing at least two power generation energy models in the energy storage device in a certain time period; wherein the power generation energy model is constructed by using a vector rotation method, the number of constructed power generation energy models is detected, and at least two constructed power generation energy models are mixed;

[0008] Step 2): Analyze whether the capacity of the energy model is complete; use the model contour closure method to analyze whether the capacity of each energy model is complete;

[0009] Step 3): Analyze the capacity stability of each energy model according to the capacity of each energy model; wherein the capacity stability of the energy model is analyzed by using a model deformation analysis method;

[0010] Step 4): The energy models are collided with each other, and the energy model with good capacity stability is selected as the energy output model of the distribution network; wherein, the energy model with good capacity stability is determined by using the model collision deformation analysis method.

[0011] Optionally, in step 1), a time period is randomly selected, and the type and number of energy models for power generation are found within the randomly selected time period.

[0012] Furthermore, in step 1), the energy model of power generation is constructed by the vector rotation method, using the following formula (1):

[0013] (1);

[0014] in, is the central axis of the energy model, The length can be extended or shortened, The length extension or shortening ranges from 0 to 5 cm; The energy model The radius of the sequence number, can grow or shrink in size, The growth or shortening of size ranges from 0 to 1 cm; Indicates the energy model Adjustment of the radius size of the serial number; is the angle rotation radius adjustment function, It rotates in one direction. Indicates the rotation process The angle value of the sequence number, During the angle rotation process, the size of each radius in the energy model is adjusted. The serial number corresponds to Serial number;

[0015] For energy model As the central axis, the radius of the energy model is rotated, and the size of each radius is adjusted to generate the energy model; or An energy model for power generation was constructed.

[0016] Optionally, in step 2), the model contour closure method is used to analyze whether the capacity of a certain energy model is complete, using the following steps:

[0017] Step S1): identifying the starting contour and the ending contour of the energy model;

[0018] Step S2): Calculate the angle between the starting contour and the ending contour of the energy model; if the angle between the starting contour and the ending contour is less than 3°, the capacity of the energy model is complete; if the angle between the starting contour and the ending contour is greater than 3°, the capacity of the energy model is incomplete;

[0019] Step S3): fill the angle between the starting contour and the ending contour using an angle filling method.

[0020] Furthermore, in step S3), the angle filling method is the following formula (2):

[0021] (2);

[0022] in, is the filling angle of the starting contour toward the ending contour, It is the filling angle from the starting contour to the ending contour per unit time; is the filling angle of the ending contour toward the starting contour, The filling angle of the ending contour toward the starting contour per unit time; It is the angle between the starting contour and the ending contour after filling;

[0023] To calculate the filled angle between the starting contour and the ending contour; The result of filling the angle between the starting contour and the ending contour;

[0024] like is equal to the angle between the starting contour and the ending contour, then the angle between the starting contour and the ending contour is completely filled; if If it is smaller than the angle between the starting contour and the ending contour, the angle between the starting contour and the ending contour is not completely filled.

[0025] Optionally, in step 3), at the positions at both ends of the central axis of a certain energy model, both ends of the central axis are stretched and compressed to detect the deformation of each of the two ends of the central axis;

[0026] If the deformation at both ends of the central axis is small, the stability of the energy model is good;

[0027] If the deformation at both ends of the central axis is large, the stability of the energy model is poor.

[0028] Furthermore, the model deformation analysis method is as follows: Formula (3) and Formula (4):

[0029] (3);

[0030] (4);

[0031] Formula (3) indicates that both ends of the central axis of the energy model are compressed; and are the compression forces per unit length at both ends of the central axis; and are the elastic coefficients at both ends of the central axis, = or ≠ ; or It is the sum of the compressed distances at both ends of the central axis;

[0032] Formula (4) indicates that both ends of the central axis of the energy model are stretched; and are the tensile forces per unit length at both ends of the central axis, or It is the sum of the stretching distances at both ends of the central axis.

[0033] Optionally, in step 4), the steps of determining an energy model with good capacity stability by using a model collision deformation analysis method are as follows:

[0034] Step a): aligning the central axes of the two energy models on the same straight line;

[0035] Step b): move the two energy models whose central axes coincide with each other toward each other on the coincident straight line, so that the two energy models collide with each other;

[0036] Step c): calculate the deformation distances at the respective central axis ends of the two energy models at the point where the two energy models collide; compare the deformation distances at the point where the two energy models collide. If the deformation distance of an energy model at the point where the two energy models collide is smaller, then the energy model is determined to be an energy model with good capacity stability, and the energy model with good capacity stability is configured and energized.

[0037] A system for optimizing configuration of hybrid energy storage capacity of a distribution network, comprising:

[0038] A plurality of energy model building units, used for building an energy model for power generation;

[0039] An energy model mixing unit, used for mixing a plurality of constructed energy models of power generation;

[0040] A model analysis unit, used to analyze whether the capacity of each energy model is complete and to analyze the capacity stability of each energy model;

[0041] A model judgment unit, used to judge the energy model with good capacity stability after various energy models collide with each other;

[0042] The energy model mixing unit, the model analysis unit and the model judgment unit are connected in sequence through circuits from the plurality of energy model construction units.

[0043] Beneficial effects of the present invention:

[0044] 1. The present invention analyzes the capacity stability of each energy model according to the capacity of each energy model. The capacity stability of the energy model is analyzed by using the model deformation analysis method. When the capacity of each energy model is stable, each energy model is collided with each other, and the energy model with good capacity stability is selected as the energy output model of the distribution network, wherein the energy model with good capacity stability is determined by using the model collision deformation analysis method. Therefore, by colliding each energy model with each other and selecting the energy model with good capacity stability as the energy output model of the distribution network, the capacity of the energy storage device is reasonably configured.

[0045] 2. The present invention constructs multiple energy models for power generation through an energy model construction unit, mixes multiple constructed energy models for power generation through an energy model mixing unit, and then uses a model analysis unit to analyze whether the capacity of each mixed energy model is complete and analyzes the capacity stability of each energy model, and then uses a model judgment unit to collide each energy model with each other to judge the energy model with good capacity stability, and uses the energy model with good capacity stability as the reasonable capacity configuration of the energy storage device. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0048] Figure 2 It is a schematic diagram of the workflow of the present invention;

[0049] Figure 3 Constructing a schematic diagram for the energy model of the present invention;

[0050] Figure 4 A schematic diagram of judging the integrity of the capacity of the energy model of the present invention;

[0051] Figure 5 It is a schematic diagram of the collision between two energy models of the present invention. DETAILED DESCRIPTION

[0052] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0053] Embodiment 1;

[0054] like Figure 1 As shown, this embodiment provides an optimization configuration system for hybrid energy storage capacity of a distribution network, including: multiple energy model construction units, an energy model mixing unit, a model analysis unit and a model judgment unit;

[0055] A plurality of energy model building units are used to build an energy model for power generation;

[0056] The energy model mixing unit is used to mix a plurality of constructed energy models of power generation;

[0057] The model analysis unit is used to analyze whether the capacity of each energy model is complete and to analyze the capacity stability of each energy model;

[0058] The model judgment unit is used to judge the energy model with good capacity stability after the energy models collide with each other, wherein the model judgment unit can perform the operation of collision between the energy models;

[0059] The energy model mixing unit, the model analysis unit and the model judgment unit are connected in sequence through circuits from the plurality of energy model construction units.

[0060] At least two energy model construction units (each energy model construction unit constructs a different power generation energy model), a plurality of constructed power generation energy models are mixed through an energy model mixing unit (the mixing here is to concentrate the energy models in the model mixing unit), a model analysis unit analyzes whether the capacity of each mixed energy model is complete and analyzes the capacity stability of each energy model, and then uses the model judgment unit to collide each energy model with each other to judge the energy model with good capacity stability.

[0061] Embodiment 2;

[0062] Based on Example 1, Figure 2 As shown, this embodiment provides a method for optimizing the configuration of hybrid energy storage capacity of a distribution network, comprising the following steps:

[0063] Step 1): construct at least two power generation energy models in the energy storage device in a certain time period; wherein the power generation energy model is constructed by using a vector rotation method, the number of constructed power generation energy models is detected, and at least two constructed power generation energy models are mixed (i.e., the energy model mixing unit in the energy storage device stores energy for two or three power generation energy models);

[0064] Step 2): Analyze whether the capacity of the energy model is complete; use the model contour closure method to analyze whether the capacity of each energy model is complete;

[0065] Step 3): According to the capacity of each energy model (the capacity of each energy model meets the complete condition), analyze the capacity stability of each energy model; wherein the capacity stability of the energy model is analyzed by using the model deformation analysis method;

[0066] Step 4): The energy models are collided with each other, and the energy model with good capacity stability is selected as the energy output model of the distribution network; wherein, the energy model with good capacity stability is determined by using the model collision deformation analysis method.

[0067] Specifically, in step 1), a time period is randomly selected, and the type and number of energy models for power generation are found in the randomly selected time period. Because wind energy, solar energy and geothermal energy may be generated simultaneously, or two of wind energy, solar energy and geothermal energy may be randomly selected to generate power simultaneously, so randomly selecting a time period can know the power generation mode and several energy generation modes of the selected time period.

[0068] like Figure 3 As shown, in step 1), the energy model of power generation is constructed by the vector rotation method, using the following formula (1):

[0069] (1);

[0070] in, is the central axis of the energy model, The length can be extended or shortened, The length extension or shortening ranges from 0 to 5 cm; The energy model The radius of the sequence number, can grow or shrink in size, The growth or shortening of size ranges from 0 to 1 cm; Indicates the energy model Adjustment of the radius size of the serial number; is the angle rotation radius adjustment function, It rotates in one direction. Indicates the rotation process The angle value of the sequence number, During the angle rotation process, the size of each radius in the energy model is adjusted. The serial number corresponds to Serial number;

[0071] For energy model As the central axis, the radius of the energy model is rotated, and the size of each radius is adjusted to generate the energy model; or An energy model for power generation was constructed.

[0072] like Figure 3 As shown in formula (1), the central axis of the energy model is , center axis The length of can be stretched or shortened, indicating that the energy model can be stretched and compressed; the various radii in the energy model (i.e. … … … ), the radius in the energy model changes from arrive Around the central axis Rotate to build Figure 3 The energy model shown. Each radius in the energy model (i.e. … … … ) can be equal or unequal, because the angle rotation radius adjustment function can adjust the size of each radius.

[0073] Since the energy model is from the radius Start building at the starting position, radius The starting angle value is 0°. The angle value of the serial number corresponds to Serial number radius , so that during the rotation process, the angle value of each serial number corresponds to the radius of each serial number.

[0074] like Figure 4 As shown, in step 2), the model contour closure method analyzes whether the capacity of a certain energy model is complete, using the following steps:

[0075] Step S1): Identify the starting contour of the energy model ( Figure 4 G1) and the termination contour ( Figure 4 G2);

[0076] Step S2): Calculate the angle between the starting contour and the ending contour of the energy model ( Figure 4 of ); if the angle between the starting contour and the ending contour is less than 3°, the capacity of the energy model is complete; if the angle between the starting contour and the ending contour is greater than 3°, the capacity of the energy model is incomplete;

[0077] Step S3): fill the angle between the starting contour and the ending contour using an angle filling method.

[0078] Figure 4 Specifically, in step S3), the angle filling method is the following formula (2):

[0079] (2);

[0080] in, is the filling angle from the starting contour to the ending contour, It is the filling angle from the starting contour to the ending contour per unit time; is the filling angle of the ending contour toward the starting contour, The filling angle of the ending contour toward the starting contour per unit time; It is the angle between the starting contour and the ending contour after filling;

[0081] To calculate the filled angle between the starting contour and the ending contour; The result of filling the angle between the starting contour and the ending contour;

[0082] like is equal to the angle between the starting contour and the ending contour, then the angle between the starting contour and the ending contour is completely filled; if If it is smaller than the angle between the starting contour and the ending contour, the angle between the starting contour and the ending contour is not completely filled.

[0083] In step 3), at the central axis of a certain energy model (central axis ) at both ends (i.e., the upper end face and the lower end face of the energy model), stretching and compressing both ends of the central axis to detect the deformation of each end of the central axis;

[0084] If the deformation at both ends of the central axis is small, the stability of the energy model is good;

[0085] If the deformation at both ends of the central axis is large, the stability of the energy model is poor.

[0086] Furthermore, the model deformation analysis method is as follows: Formula (3) and Formula (4):

[0087] (3);

[0088] (4);

[0089] Formula (3) indicates that both ends of the central axis of the energy model are compressed; and are the compression forces per unit length at both ends of the central axis; and are the elastic coefficients at both ends of the central axis, = or ≠ ; or It is the sum of the compressed distances at both ends of the central axis;

[0090] Formula (4) indicates that both ends of the central axis of the energy model are stretched; and are the tensile forces per unit length at both ends of the central axis, or It is the sum of the stretching distances at both ends of the central axis.

[0091] The energy model = or ≠ It is determined by the energy concentration at both ends of the central axis of an energy model; when the energy concentration at the upper end of the energy model is greater than that at the lower end of the energy model or the energy concentration at the lower end of the energy model is greater than that at the upper end of the energy model, ≠ ; When the energy concentration of the upper end of the energy model is equal to the energy concentration of the lower end of the energy model, then = . Generally = , because the energy in the energy model is uniformly distributed, and All are calculated by computer.

[0092] like Figure 5 As shown, in step 4), the steps of determining the energy model with good capacity stability by using the model collision deformation analysis method are as follows:

[0093] Step a): aligning the central axes of two energy models (the capacities of the two energy models are different or the same, as determined by the type of the energy model for power generation) on the same straight line;

[0094] Step b): move the two energy models whose central axes coincide with each other toward each other on the coincident straight line, so that the two energy models collide with each other;

[0095] Step c): calculate the deformation distances at the respective central axis ends of the two energy models at the point where the two energy models collide; compare the deformation distances at the point where the two energy models collide. If the deformation distance of an energy model at the point where the two energy models collide is smaller, then the energy model is determined to be an energy model with good capacity stability, and the energy model with good capacity stability is configured and energized.

[0096] Embodiment 3;

[0097] Based on Example 2, Figure 5 As shown, in step 4), the central axes of the two energy models coincide, the two energy models move toward each other, and the lower end of one energy model collides with the upper end of the other energy model; if the axial deformation distance of the lower end of one energy model is smaller than the axial deformation distance of the upper end of the other energy model, then the one energy model is determined to be an energy model with good capacity stability, and the energy model with good capacity stability is configured and energized; similarly, if the axial deformation distance of the lower end of one energy model is larger than the axial deformation distance of the upper end of the other energy model, then the other energy model is determined to be an energy model with good capacity stability, and the energy model with good capacity stability is configured and energized.

[0098] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for optimizing the configuration of hybrid energy storage capacity in a distribution network. It is characterized in that The steps include: Step 1): constructing at least two power generation energy models in the energy storage device in a certain time period; wherein the power generation energy model is constructed by using a vector rotation method, the number of constructed power generation energy models is detected, and at least two constructed power generation energy models are mixed; Step 2): Analyze whether the capacity of the energy model is complete; use the model contour closure method to analyze whether the capacity of each energy model is complete; The model contour closure method analyzes whether the capacity of a certain energy model is complete, and adopts the following steps: Step S1): identifying the starting contour and the ending contour of the energy model; Step S2): Calculate the angle between the starting contour and the ending contour of the energy model; if the angle between the starting contour and the ending contour is less than 3°, the capacity of the energy model is complete; if the angle between the starting contour and the ending contour is greater than 3°, the capacity of the energy model is incomplete; Step S3): fill the angle between the starting contour and the ending contour using an angle filling method; Step 3): Analyze the capacity stability of each energy model according to the capacity of each energy model; wherein the capacity stability of the energy model is analyzed by using a model deformation analysis method; Step 4): The energy models are collided with each other, and the energy model with good capacity stability is selected as the energy output model of the distribution network; wherein, the energy model with good capacity stability is determined by using the model collision deformation analysis method.

2. A method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to claim 1, It is characterized in that In the step 1), a time period is randomly selected, and the type and number of the energy models of power generation are found within the randomly selected time period.

3. A method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to any one of claims 1 or 2, It is characterized in that In the step 1), the energy model of power generation is constructed by the vector rotation method using the following formula (1): (1)； in, is the central axis of the energy model, The length can be extended or shortened, The length extension or shortening ranges from 0 to 5 cm; The energy model The radius of the sequence number, can grow or shrink in size, The growth or shortening of size ranges from 0 to 1 cm; Indicates the energy model Adjustment of the radius size of the serial number; is the angle rotation radius adjustment function, It rotates in one direction. Indicates the rotation process The angle value of the sequence number, During the angle rotation process, the size of each radius in the energy model is adjusted. The serial number corresponds to Serial number; For energy model As the central axis, the radius of the energy model is rotated, and the size of each radius is adjusted to generate the energy model; or An energy model for power generation was constructed.

4. The method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to claim 1, It is characterized in that In the step S3), the angle filling method is the following formula (2): (2)； in, is the filling angle of the starting contour toward the ending contour, It is the filling angle from the starting contour to the ending contour per unit time; is the filling angle of the ending contour toward the starting contour, The filling angle of the ending contour toward the starting contour per unit time; It is the angle between the starting contour and the ending contour after filling; To calculate the filled angle between the starting contour and the ending contour; The result of filling the angle between the starting contour and the ending contour; like is equal to the angle between the starting contour and the ending contour, then the angle between the starting contour and the ending contour is completely filled; if If it is smaller than the angle between the starting contour and the ending contour, the angle between the starting contour and the ending contour is not completely filled.

5. The method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to claim 1, It is characterized in that In the step 3), at the two end positions of the central axis of a certain energy model, both ends of the central axis are stretched and compressed to detect the deformation of each of the two ends of the central axis; If the deformation at both ends of the central axis is small, the stability of the energy model is good; If the deformation at both ends of the central axis is large, the stability of the energy model is poor.

6. A method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to claim 5, It is characterized in that The model deformation analysis method is the following formula (3) and formula (4): (3); (4)； Formula (3) indicates that both ends of the central axis of the energy model are compressed; and are the compression forces per unit length at both ends of the central axis; and are the elastic coefficients at both ends of the central axis, = or ≠ ; or It is the sum of the compressed distances at both ends of the central axis; Formula (4) indicates that both ends of the central axis of the energy model are stretched; and are the tensile forces per unit length at both ends of the central axis, or It is the sum of the stretching distances at both ends of the central axis.

7. The method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to claim 1, It is characterized in that In step 4), the steps of determining an energy model with good capacity stability by using the model collision deformation analysis method are as follows: Step a): aligning the central axes of the two energy models on the same straight line; Step b): move the two energy models whose central axes coincide with each other toward each other on the coincident straight line, so that the two energy models collide with each other; Step c): calculate the deformation distances at the respective central axis ends of the two energy models at the point where the two energy models collide; compare the deformation distances at the point where the two energy models collide. If the deformation distance of an energy model at the point where the two energy models collide is smaller, then the energy model is determined to be an energy model with good capacity stability, and the energy model with good capacity stability is configured and energized.

8. A system for optimizing the configuration of hybrid energy storage capacity of a distribution network, used to execute a method for optimizing the configuration of hybrid energy storage capacity of a distribution network according to any one of claims 1 to 7, It is characterized in that include: A plurality of energy model building units, used for building an energy model for power generation; An energy model mixing unit, used for mixing a plurality of constructed energy models of power generation; A model analysis unit, used to analyze whether the capacity of each energy model is complete and to analyze the capacity stability of each energy model; A model judgment unit, used to judge the energy model with good capacity stability after various energy models collide with each other; The energy model mixing unit, the model analysis unit and the model judgment unit are connected in sequence through circuits from the plurality of energy model construction units.

Images