Comprehensive energy system elasticity assessment method, device and electronic equipment

Abstract

The present invention provides a method, device and electronic device for evaluating the elasticity of an integrated energy system. The method comprises: using a multi-region input-output theory to create an integrated energy system, wherein the integrated energy system comprises m energy types and n subsystems; obtaining a standardized direct consumption coefficient matrix A of the entire system of the integrated energy system; * and the trade coefficient matrix C between the subsystems * ; Using the principle of multi-region failure input-output model, the system's ability matrix to resist renewable energy fluctuations under standardized renewable energy output fluctuations is obtained; the 2-norm of the obtained system's ability matrix to resist renewable energy fluctuations is determined as the static elasticity of the integrated energy system.

Description

Technical Field

[0001] The present invention relates to the field of energy technology, and in particular to a method, device and electronic equipment for evaluating elasticity of an integrated energy system. Background Art

[0002] The integrated energy system is an important strategic measure to break the lack of coordination in the energy system. It is of great significance to improve the overall energy efficiency, improve the efficiency of investment, increase the proportion of renewable energy, and promote energy conservation and emission reduction. The resilience (resilience) of the integrated energy system mainly refers to the ability of the energy system to respond to sudden and uncertain shocks and to recover quickly from shock events. It has been a research hotspot in recent years. The output volatility of renewable energy such as wind power and photovoltaic power is significant, which is a shock to the integrated energy system compared to traditional power sources with controllable output. In order to absorb renewable energy, it is necessary to deal with the fluctuation of renewable energy. It is very necessary to evaluate the resilience (resilience) of the energy system under the fluctuation of renewable energy. Summary of the invention

[0003] The purpose of the present invention is to provide a comprehensive energy system elasticity assessment method, device and electronic equipment, which can assess the elasticity of the comprehensive energy system under fluctuations of renewable energy.

[0004] The present invention provides a comprehensive energy system elasticity assessment method, comprising:

[0005] A comprehensive energy system is created by adopting multi-region input-output theory, wherein the comprehensive energy system includes m energy types and n subsystems;

[0006] Obtain the standardized direct consumption coefficient matrix A of the comprehensive energy system * and the trade coefficient matrix C between the subsystems * ;

[0007] The principle of multi-regional failure input-output model is adopted to obtain the system's ability matrix to resist renewable energy fluctuations under the standardized renewable energy output fluctuations.

[0008] The obtained 2-norm of the system's ability matrix to resist renewable energy fluctuations is determined as the static elasticity of the integrated energy system.

[0009] The present invention also provides a comprehensive energy system elasticity assessment device, comprising:

[0010] A system creation module, which uses multi-region input-output theory to create a comprehensive energy system, wherein the comprehensive energy system includes m energy types and n subsystems;

[0011] The coefficient acquisition module is used to obtain the standardized direct consumption coefficient matrix A of the entire system of the comprehensive energy system. * and the trade coefficient matrix C between the subsystems* ;

[0012] The capacity acquisition module is used to obtain the system's capacity matrix for resisting renewable energy fluctuations under the normalized renewable energy output fluctuations by adopting the principle of multi-region failure input-output model;

[0013] The capacity determination module is used to determine the 2-norm of the acquired capacity matrix of the system to resist renewable energy fluctuations as the static elasticity of the integrated energy system.

[0014] The present invention also provides an electronic device, comprising:

[0015] at least one processor; and,

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the comprehensive energy system resilience assessment method as described above.

[0018] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned integrated energy system elasticity assessment method.

[0019] The technical solution of the present invention adopts a multi-regional input-output (Multi-regional Input-Output) method to model the integrated energy system, and uses its system failure assessment framework to evaluate the elasticity (resilience) of the integrated energy system under renewable energy fluctuations, and realizes elasticity (resilience) evaluation from the perspective of the impact resistance of the system based on topological information analysis under a given state of the integrated energy system, that is, under certain conditions of component dynamic response performance, the elasticity (resilience) of the integrated energy system under renewable energy fluctuations is evaluated from the perspective of typical state planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 is a specific flow chart of the integrated energy system elasticity assessment method according to the first embodiment of the present invention;

[0022] Figure 2is a specific structural diagram of a comprehensive energy system elasticity assessment device according to a second embodiment of the present invention;

[0023] Figure 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than 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.

[0025] The first embodiment of the present invention relates to a method for evaluating the resilience of an integrated energy system. The core of this embodiment is to model the integrated energy system based on a multi-regional input-output method, so as to evaluate the resilience (resilience) of the integrated energy system under renewable energy fluctuations with the help of its system failure assessment framework, and to carry out resilience (resilience) assessment from the perspective of the impact resistance of the topological information analysis system under a given state of the integrated energy system, that is, under certain conditions of component dynamic response performance, evaluate the resilience (resilience) of the integrated energy system under renewable energy fluctuations from the perspective of typical state planning.

[0026] like Figure 1 As shown in the figure, the comprehensive energy system resilience assessment method includes:

[0027] Step 101: Create a comprehensive energy system using multi-region input-output theory, where the comprehensive energy system includes m energy types and n subsystems.

[0028] Specifically, the multi-region input-output theory is used to model the integrated energy system, which has a total of m energy types and n subsystems.

[0029] The comprehensive energy system is expressed as follows: X = CAX + CY

[0030] in,

[0031]

[0032] in, x represents the total input vector of the whole system in m·n×1 dimensions; Y represents the total system demand vector of m·n×1 dimensions; A represents the m·n×m·n dimensional direct consumption coefficient matrix of the whole system, C represents the m·n×m·n-dimensional matrix of trade coefficients between subsystems; p,l∈[1,...,n], It represents the percentage of total energy input k in subsystem l that comes from subsystem p, k = 1, ..., m. In the integrated energy system, the matrix form of each subsystem i considers the same m energy types, and the total input vector X i and the demand vector Y i They are: i=1,...,n. Direct consumption matrix A i It is a matrix of m·m dimensions, i = 1,...,n. The row and column labels of the vector or matrix involving new energy are set to R, and the number of elements in the set is r, r∈[1,...,mn].

[0033] Step 102: Obtain the standardized direct consumption coefficient matrix A of the integrated energy system * and the trade coefficient matrix C between subsystems * .

[0034] The two normalized coefficient matrices are related to the state of X. Specifically,

[0035]

[0036] in, A diagonal matrix representing the diagonal elements.

[0037] Step 103: Using the principle of the multi-region failure input-output model, obtain the system's ability matrix to resist renewable energy fluctuations under the standardized renewable energy output fluctuations.

[0038] According to formula 4, the system's ability matrix to resist renewable energy fluctuations under the normalized renewable energy output fluctuations is obtained:

[0039]

[0040] Among them, the subscript represents a (mn-r)×(mn-r)-dimensional matrix, whose row and column indices do not include R, and the subscript The row and column labels of the matrix elements belong to R, and the subscript represents a (mn-r)×r-dimensional vector, whose row index does not include R, column index includes R, and subscript represents a γ×(mn-r)-dimensional vector, with row labels including R and column labels excluding R. is an r×1 dimensional vector, is a (mn-r)×1 dimensional vector, is an r×1 dimensional vector.

[0041] Step 104: Determine the 2-norm of the obtained system's ability matrix to resist renewable energy fluctuations as the static elasticity of the integrated energy system.

[0042] Specifically, the static elasticity (resilience) of the integrated energy system under renewable energy fluctuations can be expressed as for The 2-norm of .

[0043] Compared with the prior art, this embodiment adopts the multi-region input-output theory to create a comprehensive energy system, wherein the comprehensive energy system includes m energy types and n subsystems; the standardized direct consumption coefficient matrix A of the entire system of the comprehensive energy system is obtained. * and the trade coefficient matrix C between subsystems * ; Adopt the principle of multi-regional failure input-output model to obtain the system's ability matrix to resist renewable energy fluctuations under standardized renewable energy output fluctuations; determine the 2-norm of the obtained system's ability matrix to resist renewable energy fluctuations as the static elasticity of the integrated energy system. The technical solution of the present invention adopts a multi-regional input-output method to model the integrated energy system, so as to evaluate the elasticity (resilience) of the integrated energy system under renewable energy fluctuations with the help of its system failure assessment framework, and to carry out elasticity (resilience) assessment from the perspective of the system's impact resistance from the perspective of topological information analysis under a given state of the integrated energy system, that is, under certain conditions of component dynamic response performance, evaluate the elasticity (resilience) of the integrated energy system under renewable energy fluctuations from the perspective of typical state planning.

[0044] The second embodiment of the present invention relates to a comprehensive energy system elasticity assessment device, which can be used to perform the method steps in the first embodiment, and the device includes:

[0045] A system creation module 201 uses a multi-region input-output theory to create a comprehensive energy system, wherein the comprehensive energy system includes m energy types and n subsystems;

[0046] The coefficient acquisition module 202 is used to obtain the standardized direct consumption coefficient matrix A of the entire system of the comprehensive energy system. * and the trade coefficient matrix C between subsystems * ;

[0047] Capacity acquisition module 203, used to obtain the system's capacity matrix for resisting renewable energy fluctuations under the normalized renewable energy output fluctuations by adopting the principle of multi-region failure input-output model;

[0048] The capability determination module 204 is used to determine the 2-norm of the acquired system capability matrix for resisting renewable energy fluctuations as the static elasticity of the integrated energy system.

[0049] The system creation module 201 is specifically used for:

[0050] Assuming that in the integrated energy system, the matrix form of each subsystem i considers the same m energy types, the total input vector X i and the demand vector Y i They are: i=1,...,n,directly consumes matrix A i It is an m×m dimensional matrix, i=1,...,n, the row and column label set of vectors or matrices involving new energy is R, the number of elements in the set is r, r∈[1,...,mn], and the comprehensive energy system is created according to formula 1:

[0051] X=CAX+CY Formula 1;

[0052] in, X represents the total input vector of the whole system in m·n×1 dimensions; Y represents the total system demand vector of m·n×1 dimensions; A represents the m·n×m·n dimensional direct consumption coefficient matrix of the whole system, C represents the m·n×m·n-dimensional matrix of trade coefficients between subsystems; p,l∈[1,...,n], It represents the percentage of total energy input k in subsystem l that comes from subsystem p, k=1,...,m

[0053] The coefficient acquisition module 202 is specifically used for:

[0054] According to Formula 2 and Formula 3, the standardized direct consumption coefficient matrix A* of the entire system and the trade coefficient matrix C* between the subsystems of the comprehensive energy system are obtained:

[0055]

[0056] The capability acquisition module 203 is specifically used for:

[0057] According to formula 4, the system's ability matrix to resist renewable energy fluctuations under the normalized renewable energy output fluctuations is obtained:

[0058]

[0059] Among them, the subscript represents a (mn-r)×(mn-r)-dimensional matrix, whose row and column indices do not include R, and the subscript The row and column labels of the matrix elements belong to R, and the subscript represents a (mn-r)×r-dimensional vector, whose row index does not include R, column index includes R, and subscript represents an r×(mn-r)-dimensional vector, where the row label includes R and the column label does not include R. is an r×1 dimensional vector, is a (mn-r)×1 dimensional vector, is an r×1 dimensional vector.

[0060] The capability determination module 204 is specifically used for:

[0061] Determine the static elasticity of the integrated energy system under renewable energy fluctuations as in, for The 2-norm of .

[0062] Compared with the existing technology, this embodiment adopts a multi-regional input-output (Multi-regional Input-Output) method to model the integrated energy system, and uses its system failure assessment framework to evaluate the elasticity (resilience) of the integrated energy system under renewable energy fluctuations, and realizes elasticity (resilience) evaluation from the perspective of the impact resistance of the system based on topological information analysis under a given state of the integrated energy system. That is, under certain conditions of component dynamic response performance, the elasticity (resilience) of the integrated energy system under renewable energy fluctuations is evaluated from the perspective of typical state planning.

[0063] A third embodiment of the present invention relates to an electronic device, such as Figure 3 As shown, it includes at least one processor 302; and a memory connected to the at least one processor 302 in communication; wherein the memory 301 stores instructions that can be executed by the at least one processor 302, and the instructions are executed by the at least one processor 302 so that the at least one processor 302 can execute any of the above method embodiments.

[0064] The memory 301 and the processor 302 are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 302 and the memory 301 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor 302 is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor 302.

[0065] The processor 302 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 301 can be used to store data used by the processor 302 when performing operations.

[0066] A sixth embodiment of the present invention relates to a computer-readable storage medium storing a computer program, which implements any of the above method embodiments when executed by a processor.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive energy system resilience assessment method, characterized in that: include: A comprehensive energy system is created by adopting multi-region input-output theory, wherein the comprehensive energy system includes m energy types and n subsystems; Obtain the standardized direct consumption coefficient matrix A of the integrated energy system * and the trade coefficient matrix C between the subsystems * ; Specifically include: According to formula 2 and formula 3, the standardized direct consumption coefficient matrix A of the comprehensive energy system is obtained. * and the trade coefficient matrix C between the subsystems * : The principle of multi-regional failure input-output model is adopted to obtain the system's ability matrix to resist renewable energy fluctuations under the standardized renewable energy output fluctuations; specifically, it includes: According to formula 4, the system's ability matrix to resist renewable energy fluctuations under the normalized renewable energy output fluctuations is obtained: Among them, the subscript represents a (mn-r)×(mn-r)-dimensional matrix, whose row and column indices do not include R, and the subscript The row and column labels of the matrix elements belong to R, and the subscript represents a (mn-r)×r-dimensional vector, whose row index does not include R, column index includes R, and subscript represents an r×(mn-r)-dimensional vector, where the row label includes R and the column label does not include R. is an r×1 dimensional vector, is a (mn-r)×1 dimensional vector, is an r×1 dimensional vector; The obtained 2-norm of the system's ability matrix to resist renewable energy fluctuations is determined as the static elasticity of the integrated energy system.

2. The method according to claim 1, characterized in that The use of multi-regional input-output theory to create a comprehensive energy system specifically includes: Assuming that in the integrated energy system, the matrix form of each subsystem i considers the same m energy types, the total input vector X i and the demand vector Y i They are: i=1,...,n,directly consumes matrix A i It is an m×m dimensional matrix, i=1,...,n, the row and column label set of vectors or matrices involving new energy is R, the number of elements in the set is r, r∈[1,...,mn], and the comprehensive energy system is created according to formula 1: X=CAX+CY Formula 1; in, X represents the total input vector of the whole system in m·n×1 dimensions; Y represents the total system demand vector of m·n×1 dimensions; A represents the m·n×m·n dimensional direct consumption coefficient matrix of the whole system, C represents the m·n×m·n-dimensional matrix of trade coefficients between subsystems; p,l∈[1,...,n], represents the percentage of the total energy input k in subsystem l that comes from subsystem p, k=1,...,m.

3. The method according to claim 1, characterized in that Determining the obtained 2-norm of the system's ability matrix to resist renewable energy fluctuations as the static elasticity of the integrated energy system specifically includes: Determine the static elasticity of the integrated energy system under renewable energy fluctuations as in, for The 2-norm of .

4. A comprehensive energy system elasticity assessment device, characterized in that: include: A system creation module, which uses multi-region input-output theory to create a comprehensive energy system, wherein the comprehensive energy system includes m energy types and n subsystems; The coefficient acquisition module is used to obtain the standardized direct consumption coefficient matrix A of the entire system of the comprehensive energy system. * and the trade coefficient matrix C between the subsystems * ; Specifically used for: According to formula 2 and formula 3, the standardized direct consumption coefficient matrix A of the comprehensive energy system is obtained. * and the trade coefficient matrix C between the subsystems * : The capacity acquisition module is used to obtain the system's capacity matrix for resisting renewable energy fluctuations under the standardization of renewable energy output fluctuations by adopting the principle of multi-region failure input-output model; specifically used for: According to formula 4, the system's ability matrix to resist renewable energy fluctuations under the normalized renewable energy output fluctuations is obtained: Among them, the subscript represents a (mn-r)×(mn-r)-dimensional matrix, whose row and column indices do not include R, and the subscript The row and column labels of the matrix elements belong to R, and the subscript represents a (mn-r)×r-dimensional vector, whose row index does not include R, column index includes R, and subscript represents an r×(mn-r)-dimensional vector, where the row label includes R and the column label does not include R. is an r×1 dimensional vector, is a (mn-r)×1 dimensional vector, is an r×1 dimensional vector; The capacity determination module is used to determine the 2-norm of the acquired capacity matrix of the system to resist renewable energy fluctuations as the static elasticity of the integrated energy system.

5. The device according to claim 4, characterized in that The system creation module is specifically used for: Assuming that in the integrated energy system, the matrix form of each subsystem i considers the same m energy types, the total input vector X i and the demand vector Y i They are: i=1,...,n,directly consumes matrix A i It is an m×m dimensional matrix, i=1,...,n, the row and column label set of vectors or matrices involving new energy is R, the number of elements in the set is r, r∈[1,...,mn], and the comprehensive energy system is created according to formula 1: X=CAX+CY Formula 1; in, X represents the total input vector of the whole system in m·n×1 dimensions; Y represents the total system demand vector of m·n×1 dimensions; A represents the m·n×m·n dimensional direct consumption coefficient matrix of the whole system, C represents the m·n×m·n-dimensional matrix of trade coefficients between subsystems; p,l∈[1,...,n], represents the percentage of the total energy input k in subsystem l that comes from subsystem p, k=1,...,m.

6. The device according to claim 4, characterized in that The capability determination module is specifically used for: Determine the static elasticity of the integrated energy system under renewable energy fluctuations as in, for The 2-norm of .

7. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the comprehensive energy system resilience assessment method as described in any one of claims 1 to 3.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the integrated energy system elasticity assessment method described in any one of claims 1 to 3 is implemented.

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