Statistical analysis method and system for multi-energy complementary performance of integrated energy system

Abstract

The invention relates to the technical field of integrated energy system management, in particular to a statistical analysis method and system for multi-energy complementary performance of an integrated energy system, and the method comprises the steps: operating multiple candidate schemes based on the integrated energy system, and collecting the operation data of the integrated energy system in the operation process of each candidate scheme; classifying operation data of the integrated energy system in the operation process of each candidate scheme according to energy types, belonging branches or nodes and energy processes; respectively calculating energy values and entropy values of each node and each branch under each candidate scheme based on the classified operation data; on the basis of the energy values and entropy values of the nodes and the branches and according to classification of energy processes, calculating a multi-energy complementary entropy increase coefficient of the integrated energy system under each candidate scheme; and evaluating the multi-energy complementary performance of the comprehensive energy system of each candidate scheme based on the multi-energy complementary entropy increase coefficient. According to the invention, systematic and precise analysis of the multi-energy complementary performance of the integrated energy system can be realized.

Description

Technical Field

[0001] This application relates to the field of integrated energy system management technology, specifically to a statistical analysis method and system for the multi-energy complementarity performance of integrated energy systems. Background Technology

[0002] With the ongoing transformation of the energy structure, integrated energy systems have become an important vehicle for achieving multi-energy synergy and complementarity, and improving energy utilization efficiency. Integrated energy systems integrate multiple energy forms such as electricity, heat, and chemical energy, and achieve cascaded utilization and complementary optimization of energy through the coordinated operation of multiple links including source, grid, load, and storage. In integrated energy systems, accurately analyzing the multi-energy complementarity performance is a key issue for optimizing system operation and improving energy quality.

[0003] In existing technologies, some studies employ energy quality evaluation methods based on thermodynamic entropy increase to analyze the multi-energy complementarity performance of integrated energy systems. Specifically, this involves calculating the entropy increase of specific thermal equipment (such as axial turbines and turbines) during operation to quantify the irreversibility of their internal energy conversion processes and the degree of energy dissipation. For example, analyzing entropy production distribution can identify internal energy efficiency bottlenecks, and indicators such as volume entropy increase rate can assess the energy quality loss of a single energy conversion stage, thus providing a theoretical basis for optimizing the operating efficiency of specific equipment.

[0004] However, existing statistical analysis methods for the multi-energy complementary performance of integrated energy systems based on thermodynamic entropy increase have the following shortcomings: existing methods mainly analyze the energy conversion process within a single device, failing to extend to energy transmission, storage, and other links, and lacking a systematic evaluation of the multi-energy complementary performance of the entire integrated energy system; existing entropy calculations are based on classical thermodynamic theory, describing the entropy values ​​of various energies only through the microscopic state of thermal energy, failing to consider the differences in the microscopic particle motion characteristics and statistical laws of different energy types such as electrical energy, mechanical energy, and chemical energy. Summary of the Invention

[0005] To address the technical problem that existing statistical analysis methods for the multi-energy complementary performance of integrated energy systems based on thermodynamic entropy increase are limited to the energy conversion process within a single device and only calculate the entropy of all types through the microscopic state of thermal energy, thus failing to provide a comprehensive analysis of the multi-energy complementary performance of integrated energy systems, this application provides a statistical analysis method and system for the multi-energy complementary performance of integrated energy systems. By constructing a generalized entropy increase coefficient evaluation system covering the entire process of energy storage, transmission, and conversion, and calculating the entropy value for different energy types separately, a systematic and precise analysis of the multi-energy complementary performance of integrated energy systems is achieved.

[0006] In a first aspect, this application provides a statistical analysis method for the multi-energy complementarity performance of an integrated energy system, comprising the following steps: S1. Based on multiple candidate schemes for the operation of the integrated energy system, collect the operation data of the integrated energy system during the operation of each candidate scheme; S2. Classify the operational data of the integrated energy system during the operation of each candidate scheme according to energy type, branch or node, and energy process. Energy types include electrical energy, thermal energy, mechanical energy, and chemical energy; energy processes include energy conversion, energy transmission, and energy storage. S3. Based on the classified operational data, calculate the energy and entropy values ​​of each node and branch under each candidate scheme. The energy values ​​include thermal energy, electrical energy, mechanical energy, and chemical energy; the entropy values ​​include thermal entropy, electrical entropy, mechanical entropy, and chemical entropy. S4. Based on the energy and entropy values ​​of each node and branch, and according to the classification of energy processes, calculate the entropy ratio of the energy storage state under each candidate scheme. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. The formula is:

[0007] in, This indicates the moment when energy storage, energy transmission, and energy conversion all end; express The multi-energy complementary entropy increase coefficient at time t; express The entropy ratio of the energy storage state at a given time; In an integrated energy system, all energy processes are represented by nodes or branches that are energy storage. The sum of entropy ratios at time points; Indicates from From the moment to The rate of entropy increase per unit energy during energy transfer up to time 2. The moment indicates the start of energy transfer and energy conversion; In an integrated energy system, all energy processes are considered as nodes or branches for energy transmission. From the moment to The sum of the entropy increase rates per unit energy during the energy transfer process up to time 1; Indicates from From the moment to The rate of entropy increase per unit energy during the energy conversion process up to time t; In a comprehensive energy system, all energy processes are nodes or branches where energy conversion occurs from... From the moment to The sum of the entropy increase rates per unit energy during the energy conversion process up to time 1; S5. Evaluate the multi-energy complementarity performance of each candidate scheme based on the multi-energy complementarity entropy increase coefficient. The lower the multi-energy complementarity entropy increase coefficient of a candidate scheme, the better the multi-energy complementarity performance of the corresponding integrated energy system.

[0008] It should be further noted that in step S1, the operating data includes the state parameters of the energy equipment and pipeline cables. The state parameters include some or all of the following: temperature, pressure, flow rate, voltage, current, power, speed, displacement, elastic modulus, concentration, chemical potential, and bond strength.

[0009] It should be further noted that in step S3, the thermal energy value in the current node or branch... The calculation formula is:

[0010] Thermal entropy The calculation formula is:

[0011] in, This indicates the total number of molecules contained in the working medium in the current node or branch; Represents the Boltzmann constant; This indicates the thermodynamic temperature of the working medium in the current node or branch; The partition function representing thermal motion is calculated using the following formula:

[0012] This indicates the molecular mass of the working medium in the current node or branch; Denotes Planck's constant; This indicates the volume occupied by the working medium in the current node or branch.

[0013] It should be further noted that, in step S3, the electrical energy value in the current node or branch is... The calculation formula is:

[0014] Entropy of Electric Energy The calculation formula is:

[0015] in, This represents the total number of free electrons participating in electrical conduction in the current node or branch; It represents the charge of a single electron; This represents the voltage across the conductive medium in the current node or branch; The partition function representing electron motion is calculated using the following formula:

[0016] This represents the cross-sectional area of ​​the conductor through which the current flows in the current node or branch; Represents the rest mass of an electron; denoted as Planck's constant.

[0017] It should be further noted that in step S3, the mechanical energy value of the current node or branch is... The calculation formula is:

[0018] Mechanical entropy The calculation formula is:

[0019] in, This indicates the total number of molecules contained in the mechanical elastomer in the current node or branch; This represents the elastic modulus of a mechanical elastic body; This indicates the mechanical elastic body in the current node or branch. ; The partition function, representing the intermolecular distance, is calculated using the following formula:

[0020] This indicates the molecular mass of the molecules in a mechanically elastic mass. denoted as Planck's constant.

[0021] It should be further noted that in step S3, the chemical energy value in the current node or branch... The calculation formula is:

[0022] Chemical entropy The calculation formula is:

[0023] in, This represents the total number of molecules participating in the chemical reaction in the current node or branch. Indicates the bond order strength of a chemical bond; This indicates the number of effective bonds in a single molecule that participates in a chemical reaction; The partition function, representing the chemical bond, is calculated using the following formula:

[0024] Indicates the mass of the atoms involved in bonding; denoted as Planck's constant.

[0025] It should be further noted that in step S4, in the current node or branch, The calculation formula is:

[0026] in, express At any given moment, the energy value of the unique energy type in the current node or branch. ; express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is:

[0027] in, express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is:

[0028] in, express At this moment, the first node or branch in the current node... The energy value of each energy type ; express At this moment, the first node or branch in the current node... The entropy value of a type of energy, .

[0029] It should be further noted that in step S5, the candidate scheme that meets the preset safety conditions and has the lowest multi-energy complementary entropy increase coefficient is selected as the optimal candidate scheme.

[0030] It should be further noted that the safety condition is: in each node or branch of the integrated energy system, the following conditions are met:

[0031] in, express At this moment, the first node or branch in the current node... The energy value of each energy type Represents a time variable. ; express At this moment, the first node or branch in the current node... The energy value of each energy type ; Indicates the current node or branch, the first... Rated capacity of each energy type; Indicates the current node or branch, the first... The total amount of energy that a resource can provide for each type of energy; In the current node or branch, the first User demand for each type of energy.

[0032] Secondly, this application provides a statistical analysis system for the multi-energy complementarity performance of an integrated energy system, used to implement the aforementioned statistical analysis method for the multi-energy complementarity performance of an integrated energy system, comprising: The data acquisition module is used to collect operational data of the integrated energy system during the operation of each candidate scheme; The operational data classification module is used to classify the operational data of the integrated energy system during the operation of each candidate scheme according to energy type, branch or node, and energy process; The energy and entropy calculation module is used to calculate the energy and entropy values ​​of each node and each branch under each candidate scheme based on the classified running data. The multi-energy complementary entropy increase coefficient calculation module is used to calculate the entropy ratio of energy storage state under each candidate scheme based on the energy and entropy values ​​of each node and branch, and according to the classification of energy processes. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. ; The multi-energy complementarity performance evaluation module is used to evaluate the multi-energy complementarity performance of the integrated energy system of each candidate scheme based on the multi-energy complementarity entropy increase coefficient.

[0033] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of the statistical analysis method for the multi-energy complementary performance of the integrated energy system described above.

[0034] Fourthly, this application provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the statistical analysis method for the multi-energy complementary performance of the integrated energy system described above.

[0035] As can be seen from the above technical solutions, this application has the following advantages: 1. This application establishes an entropy increase coefficient evaluation system covering the entire process of energy storage, transmission, and conversion, and systematically analyzes the multi-energy complementary performance of the entire energy system, including the source, grid, load, and storage. This overcomes the problem that existing evaluation methods only analyze the energy conversion process within a single device and lack a comprehensive evaluation of the multi-energy complementary performance of the entire system. This makes system-level multi-energy complementary performance assessment possible and provides a comprehensive basis for optimizing system operation.

[0036] 2. This application classifies the operational data of each candidate scheme according to energy type and energy process, and calculates the energy and entropy values ​​of each node and branch based on the classified data. This solves the problem that existing methods do not consider the differences in statistical regularities of different energy types. It can accurately reflect the quality changes of different energies in the conversion, transmission and storage processes, and provides a reliable data foundation for evaluating the effect of multi-energy complementarity.

[0037] 3. This application establishes entropy calculation methods for thermal energy, electrical energy, mechanical energy, and chemical energy based on the microscopic particle motion characteristics of different energy types. This solves the problem in the prior art that the entropy values ​​of various energies are described only by the microscopic state of thermal energy. It achieves accurate scaling of different energy qualities, making energy quality analysis more consistent with the physical nature of various energies and providing a more scientific basis for multi-energy complementarity.

[0038] 4. This application calculates the entropy ratio of energy storage state, the entropy increase rate of unit energy during energy transmission, and the entropy increase rate of unit energy during energy conversion, and comprehensively obtains the multi-energy complementarity entropy increase coefficient, establishing a complete energy quality evaluation index system, making the quantitative evaluation of multi-energy complementarity performance more comprehensive and accurate.

[0039] 5. This application evaluates the system performance of each candidate scheme based on the entropy increase coefficient of multi-energy complementarity, and uses the lowest entropy increase coefficient as the selection criterion. This can be directly applied to the optimization selection of system operation schemes, which helps to reduce system operating energy consumption and costs, and improve the overall operating efficiency of integrated energy systems. Attached Figure Description To more clearly illustrate the technical solution of this application, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart of a statistical analysis method for the multi-energy complementary performance of an integrated energy system in one embodiment of this application.

[0041] Figure 2 This is a schematic block diagram of a statistical analysis system for the multi-energy complementary performance of an integrated energy system in one embodiment of this application.

[0042] Figure 3 This is a schematic diagram of the hardware structure of an electronic device in one embodiment of this application. Detailed Implementation

[0043] To make the purpose, features, and advantages of this application more apparent and understandable, specific embodiments and accompanying drawings will be used to clearly and completely describe the technical solution protected by this application. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] The statistical analysis method for the multi-energy complementarity performance of the integrated energy system involved in this application will be described in detail below. Specific details such as particular system structures and technologies are presented for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application can also be implemented in other embodiments without these specific details.

[0045] In the statistical analysis method for the multi-energy complementary performance of integrated energy systems involved in this application, the term "comprising" indicates the presence of the described feature, whole, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or sets thereof. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0046] To facilitate a clear description of the technical solutions of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0047] The terms "one embodiment" or "some embodiments" used in this application mean that one or more embodiments of this application include the specific features, structures, or characteristics described in that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this application do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized.

[0048] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0049] The statistical analysis method for the multi-energy complementarity performance of the integrated energy system provided in this application embodiment is executed by a computer device, and correspondingly, the statistical analysis system for the multi-energy complementarity performance of the integrated energy system runs in the computer device.

[0050] Figure 1 This is a flowchart illustrating a statistical analysis method for the multi-energy complementary performance of an integrated energy system according to an embodiment of this application. Wherein, Figure 1 The implementing entity can be a statistical analysis system for the multi-energy complementary performance of an integrated energy system. Depending on different needs, the order of steps in this flowchart can be changed, and some steps can be omitted.

[0051] like Figure 1 As shown, the statistical analysis method for the multi-energy complementarity performance of this integrated energy system includes: Step S1: Based on the operation of multiple candidate schemes of the integrated energy system, collect the operation data of the integrated energy system during the operation of each candidate scheme.

[0052] By running multiple candidate schemes and collecting corresponding operational data, a comprehensive and comparable data foundation is provided for subsequent performance evaluation, ensuring that the evaluation results can truly reflect the actual performance of the system under different operating strategies.

[0053] In some specific embodiments, the operating data includes state parameters of energy equipment and pipelines, which include some or all of the following: temperature, pressure, flow rate, voltage, current, power, velocity, displacement, elastic modulus, concentration, chemical potential, and bond strength.

[0054] By specifying the content of the operational data to include various state parameters, the basic data upon which subsequent entropy calculations depend have sufficient breadth and physical meaning, thus ensuring the accuracy and reliability of energy and entropy value calculations.

[0055] Step S2: Classify the operation data of the integrated energy system during the operation of each candidate scheme according to energy type, branch or node, and energy process. Energy types include electrical energy, thermal energy, mechanical energy, and chemical energy; energy processes include energy conversion, energy transmission, and energy storage.

[0056] A structured data analysis framework was constructed by classifying operational data according to energy type, branch or node, and energy process.

[0057] Step S3: Based on the classified running data, calculate the energy value and entropy value of each node and each branch under each candidate scheme. The energy value includes thermal energy value, electrical energy value, mechanical energy value and chemical energy value; the entropy value includes thermal entropy, electrical entropy, mechanical entropy and chemical entropy.

[0058] By calculating the thermal energy, electrical energy, mechanical energy, and chemical energy values ​​of each node and branch under each candidate scheme, as well as the corresponding thermal entropy, electrical entropy, mechanical entropy, and chemical entropy, the quantification and quality scaling of energy of different forms and locations in the system are realized.

[0059] In some specific embodiments, the thermal energy value in the current node or branch The calculation formula is:

[0060] Thermal entropy The calculation formula is:

[0061] in, This indicates the total number of molecules contained in the working medium in the current node or branch; Represents the Boltzmann constant; This indicates the thermodynamic temperature of the working medium in the current node or branch; The partition function representing thermal motion is calculated using the following formula:

[0062] This indicates the molecular mass of the working medium in the current node or branch; Denotes Planck's constant; This indicates the volume occupied by the working medium in the current node or branch.

[0063] The specific calculation formulas for thermal energy value and thermal entropy are based on the microscopic physical parameters of the working medium, such as the total number of molecules, thermodynamic temperature, molecular mass and volume. By using Boltzmann constant and Planck constant, macroscopic thermodynamic quantities are correlated with the microscopic statistical laws of molecular thermal motion, thus realizing the statistical physical description and quantitative calculation of thermal energy quality.

[0064] In some specific embodiments, the electrical energy value in the current node or branch The calculation formula is:

[0065] Entropy of Electric Energy The calculation formula is:

[0066] in, This represents the total number of free electrons participating in electrical conduction in the current node or branch; It represents the charge of a single electron; This represents the voltage across the conductive medium in the current node or branch; The partition function representing electron motion is calculated using the following formula:

[0067] This represents the cross-sectional area of ​​the conductor through which the current flows in the current node or branch; Represents the rest mass of an electron; denoted as Planck's constant.

[0068] The specific calculation formulas for electrical energy value and electrical entropy establish a connection between macroscopic electrical energy and the collective directional transition motion of electrons under the action of potential difference through electrical parameters such as the total number of free electrons, voltage, and cross-sectional area of ​​the conductor, thereby realizing the statistical physical description and quantitative calculation of electrical energy quality.

[0069] In some specific embodiments, the mechanical energy value in the current node or branch The calculation formula is:

[0070] Mechanical entropy The calculation formula is:

[0071] in, This indicates the total number of molecules contained in the mechanical elastomer in the current node or branch; This represents the elastic modulus of a mechanical elastic body; This indicates the mechanical elastic body in the current node or branch. ; The partition function, representing the intermolecular distance, is calculated using the following formula:

[0072] This indicates the molecular mass of the molecules in a mechanically elastic mass. denoted as Planck's constant.

[0073] The specific calculation formulas for mechanical energy value and mechanical entropy are based on parameters such as the total number of molecules, elastic modulus, and characteristic length of the force direction contained in the mechanical elastomer. They correlate macroscopic mechanical deformation with the microscopic statistical law of the change in the distribution of intermolecular distance, thus realizing the statistical physical description and quantitative calculation of mechanical energy quality.

[0074] In some specific embodiments, the chemical energy value in the current node or branch The calculation formula is:

[0075] Chemical entropy The calculation formula is:

[0076] in, This represents the total number of molecules participating in the chemical reaction in the current node or branch. Indicates the bond order strength of a chemical bond; This indicates the number of effective bonds in a single molecule that participates in a chemical reaction; The partition function, representing the chemical bond, is calculated using the following formula:

[0077] Indicates the mass of the atoms involved in bonding; denoted as Planck's constant.

[0078] The specific calculation formulas for chemical energy and chemical entropy establish a connection between macroscopic chemical energy and the quantum state distribution of interatomic chemical bonds within molecules by using chemical characteristic parameters such as the total number of molecules participating in the chemical reaction, bond order strength, and the number of effective bonds in a single molecule. This enables a statistical physical description and quantitative calculation of chemical energy quality.

[0079] Step S4: Based on the energy and entropy values ​​of each node and branch, and according to the classification of energy processes, calculate the entropy ratio of the energy storage state under each candidate scheme. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. The formula is:

[0080] in, This indicates the moment when energy storage, energy transmission, and energy conversion all end; express The multi-energy complementary entropy increase coefficient at time t; express The entropy ratio of the energy storage state at a given time; In an integrated energy system, all energy processes are represented by nodes or branches that are energy storage. The sum of entropy ratios at time points; Indicates from From the moment to The rate of entropy increase per unit energy during energy transfer up to time 2. The moment indicates the start of energy transfer and energy conversion; In an integrated energy system, all energy processes are considered as nodes or branches for energy transmission. From the moment to The sum of the entropy increase rates per unit energy during the energy transfer process up to time 1; Indicates from From the moment to The rate of entropy increase per unit energy during the energy conversion process up to time t; In a comprehensive energy system, all energy processes are nodes or branches where energy conversion occurs from... From the moment to The sum of the entropy increase rates per unit energy during the energy conversion process up to time.

[0081] By calculating the entropy ratio of energy storage state, the entropy increase rate per unit energy during energy transmission, and the entropy increase rate per unit energy during energy conversion based on the energy and entropy values ​​of each node and branch, and further synthesizing them to obtain the multi-energy complementary entropy increase coefficient, a comprehensive quantitative evaluation of energy quality dissipation of the entire system in the entire process of storage, transmission, and conversion is realized.

[0082] In some specific embodiments, in the current node or branch, The calculation formula is:

[0083] in, express At any given moment, the energy value of the unique energy type in the current node or branch. ; express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is:

[0084] in, express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is:

[0085] in, express At this moment, the first node or branch in the current node... The energy value of each energy type ; express At this moment, the first node or branch in the current node... The entropy value of a type of energy, .

[0086] By clarifying the specific calculation formulas for the entropy ratio of energy storage state, the entropy increase rate per unit energy during energy transmission, and the entropy increase rate per unit energy during energy conversion, core indicators for evaluating the quality changes of energy in three different states and processes—static storage, spatial transmission, and form conversion—are defined, thus making the energy quality scaling system more specific and operational.

[0087] Step S5: Evaluate the multi-energy complementarity performance of each candidate scheme based on the multi-energy complementarity entropy increase coefficient. The lower the multi-energy complementarity entropy increase coefficient of a candidate scheme, the better the multi-energy complementarity performance of the corresponding integrated energy system.

[0088] By evaluating the system performance of each candidate scheme based on the comprehensive index of multi-energy complementary entropy increase coefficient, a clear and quantitative decision-making basis is provided for selecting and optimizing the operation scheme, thereby directly serving the goal of improving system energy efficiency and reducing operating costs.

[0089] In some specific embodiments, the candidate scheme that meets the preset safety conditions and has the lowest multi-energy complementary entropy increase coefficient is selected as the optimal candidate scheme.

[0090] By selecting the candidate scheme that meets the preset safety conditions and has the lowest entropy increase coefficient for multi-energy complementarity as the optimal candidate scheme, the feasibility and engineering practicality of the selected scheme are ensured while pursuing the optimization of system energy quality, taking into account multiple practical constraints such as equipment safe operation, resource supply guarantee and user demand satisfaction.

[0091] In some specific embodiments, the safety condition is that, in each node or branch of the integrated energy system, the following is satisfied:

[0092] in, express At this moment, the first node or branch in the current node... The energy value of each energy type Represents a time variable. ; express At this moment, the first node or branch in the current node... The energy value of each energy type ; Indicates the current node or branch, the first... Rated capacity of each energy type; Indicates the current node or branch, the first... The total amount of energy that a resource can provide for each type of energy; In the current node or branch, the first User demand for each type of energy.

[0093] By defining a set of constraint equations that specify the safety conditions, the energy value of each node or branch in the system must not exceed its rated capacity, not exceed the total amount of resources that can be provided, and ultimately meet the user's demand, a clear safety boundary is set for the system operation scheme, effectively preventing operational risks such as equipment overload, resource overdraft, and supply-demand imbalance.

[0094] The following are embodiments of the statistical analysis system for the multi-energy complementary performance of integrated energy systems provided in this application. This statistical analysis system for the multi-energy complementary performance of integrated energy systems belongs to the same inventive concept as the statistical analysis method for the multi-energy complementary performance of integrated energy systems in the above embodiments. For details not described in detail in the embodiments of the statistical analysis system for the multi-energy complementary performance of integrated energy systems, please refer to the embodiments of the statistical analysis method for the multi-energy complementary performance of integrated energy systems described above.

[0095] like Figure 2 As shown, the statistical analysis system for the multi-energy complementarity performance of the integrated energy system includes: The data acquisition module is used to collect operational data of the integrated energy system during the operation of each candidate scheme; The operational data classification module is used to classify the operational data of the integrated energy system during the operation of each candidate scheme according to energy type, branch or node, and energy process; The energy and entropy calculation module is used to calculate the energy and entropy values ​​of each node and each branch under each candidate scheme based on the classified running data. The multi-energy complementary entropy increase coefficient calculation module is used to calculate the entropy ratio of energy storage state under each candidate scheme based on the energy and entropy values ​​of each node and branch, and according to the classification of energy processes. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. ; The multi-energy complementarity performance evaluation module is used to evaluate the multi-energy complementarity performance of the integrated energy system of each candidate scheme based on the multi-energy complementarity entropy increase coefficient.

[0096] The statistical analysis system for the multi-energy complementarity performance of the integrated energy system in this embodiment is used to implement a statistical analysis method for the multi-energy complementarity performance of the integrated energy system.

[0097] This application also provides an electronic device for implementing the various embodiments of this application. Figure 3 To illustrate the hardware structure of an electronic device according to various embodiments of this application, as shown in the following diagram... Figure 3 As shown, the electronic device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor.

[0098] Those skilled in the art will understand that the electronic device structure involved in the embodiments of this application does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0099] In embodiments of this application, electronic devices include, but are not limited to, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0100] In this application embodiment, the processor can be implemented using at least one of an Application-Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a processor, a controller, a microcontroller, a microprocessor, or an electronic unit designed to perform the functions described herein. In some cases, such implementations can be implemented within a controller. For software implementations, implementations such as processes or functions can be implemented with separate software modules that allow the performance of at least one function or operation. The software code can be implemented by a software application (or program) written in any suitable programming language, and the software code can be stored in memory and executed by the controller.

[0101] In addition, the electronic device includes some functional modules not shown, which will not be described in detail here.

[0102] Those skilled in the art will understand that the various aspects of the electronic device provided in this application can be implemented as a system, method, or program product. Therefore, the various aspects of this application can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0103] This application also provides a storage medium storing a program product capable of statistical analysis methods for realizing the multi-energy complementary performance of an integrated energy system. In some possible implementations, various aspects of this application can also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this application.

[0104] The storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example,, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0105] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A statistical analysis method for the multi-energy complementary performance of an integrated energy system, characterized in that, include: S1. Based on multiple candidate schemes for the operation of the integrated energy system, collect the operation data of the integrated energy system during the operation of each candidate scheme; S2. Classify the integrated energy system operation data during the operation of each candidate scheme according to energy type, branch or node, and energy process. The energy process includes energy conversion, energy transmission, and energy storage. S3. Based on the classified operational data, calculate the energy value and entropy value of each node or branch under each candidate scheme, where the energy value includes thermal energy value, electrical energy value, mechanical energy value and chemical energy value; the entropy value includes thermal entropy, electrical entropy, mechanical entropy and chemical entropy; S4. Based on the energy and entropy values ​​of each node or branch, and the classification of energy processes, calculate the entropy ratio of the energy storage state for each candidate scheme. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. The formula is: in, This indicates the moment when energy storage, energy transmission, and energy conversion all end; express The multi-energy complementary entropy increase coefficient at a given moment; express The entropy ratio of the energy storage state at a given time; Indicates from From the moment to The rate of entropy increase per unit energy during energy transfer up to time 2. The moment indicates the start of energy transfer and energy conversion; Indicates from From the moment to The rate of entropy increase per unit energy during the energy conversion process up to time t; S5. Evaluate the multi-energy complementarity performance of each candidate scheme based on the multi-energy complementarity entropy increase coefficient. The lower the multi-energy complementarity entropy increase coefficient of a candidate scheme, the better the multi-energy complementarity performance of the corresponding integrated energy system.

2. The statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in claim 1, characterized in that, In step S1, the operating data includes the state parameters of the energy equipment and pipeline cables. The state parameters include some or all of the following: temperature, pressure, flow rate, voltage, current, power, velocity, displacement, elastic modulus, concentration, chemical potential, and bond strength.

3. The statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in claim 1, characterized in that, In step S3, the heat energy value of the current node or branch is... The calculation formula is: Thermal entropy The calculation formula is: in, This indicates the total number of molecules contained in the working medium in the current node or branch; Represents the Boltzmann constant; This indicates the thermodynamic temperature of the working medium in the current node or branch; The partition function representing thermal motion is calculated using the following formula: This indicates the molecular mass of the working medium in the current node or branch; Denotes Planck's constant; This indicates the volume occupied by the working medium in the current node or branch.

4. The statistical analysis method for the multi-energy complementary performance of the integrated energy system as described in claim 1, characterized in that, In step S3, the electrical energy value in the current node or branch is... The calculation formula is: Entropy of Electric Energy The calculation formula is: in, This represents the total number of free electrons participating in electrical conduction in the current node or branch; It represents the charge of a single electron; This represents the voltage across the conductive medium in the current node or branch; The partition function representing electron motion is calculated using the following formula: This represents the cross-sectional area of ​​the conductor through which the current flows in the current node or branch; Represents the rest mass of an electron; This represents Planck's constant.

5. The statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in claim 1, characterized in that, In step S3, the mechanical energy value of the current node or branch is... The calculation formula is: Mechanical entropy The calculation formula is: in, This indicates the total number of molecules contained in the mechanical elastomer in the current node or branch; This represents the elastic modulus of a mechanical elastic body; Indicates the mechanical elastic body in the current node or branch. ; The partition function, representing the intermolecular distance, is calculated using the following formula: This indicates the molecular mass of the molecules in a mechanically elastic mass. This represents Planck's constant.

6. The statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in claim 1, characterized in that, In step S3, the chemical energy value of the current node or branch is... The calculation formula is: Chemical entropy The calculation formula is: in, This represents the total number of molecules participating in the chemical reaction in the current node or branch. Indicates the bond order strength of a chemical bond; It represents the number of effective bonds contained in a single molecule participating in a chemical reaction; The partition function, representing the chemical bond, is calculated using the following formula: Indicates the mass of the atoms involved in bonding; This represents Planck's constant.

7. The statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in claim 1, characterized in that, In step S4, in the current node or branch, The calculation formula is: in, express At any given moment, the energy value of the unique energy type in the current node or branch. ; express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is: in, express At any given moment, the entropy value of the unique energy type in the current node or branch. ; In the current node or branch, The calculation formula is: in, express At time t, the first node or branch in the current node... The energy value of each energy type ; express At time t, the first node or branch in the current node... The entropy value of a type of energy, .

8. A statistical analysis system for the multi-energy complementary performance of an integrated energy system, characterized in that, A statistical analysis method for realizing the multi-energy complementary performance of the integrated energy system as described in any one of claims 1-7 includes: The data acquisition module is used to collect operational data of the integrated energy system during the operation of each candidate scheme; The operational data classification module is used to classify the operational data of the integrated energy system during the operation of each candidate scheme according to energy type, branch or node, and energy process; The energy and entropy calculation module is used to calculate the energy and entropy values ​​of each node and each branch under each candidate scheme based on the classified running data. The multi-energy complementary entropy increase coefficient calculation module is used to calculate the entropy ratio of energy storage state under each candidate scheme based on the energy and entropy values ​​of each node and branch, and according to the classification of energy processes. The rate of entropy increase per unit energy during energy transfer and the rate of entropy increase per unit energy during energy conversion Further calculations were performed on the multi-energy complementary entropy increase coefficient of the integrated energy system under this candidate scheme. ; The multi-energy complementarity performance evaluation module is used to evaluate the multi-energy complementarity performance of the integrated energy system of each candidate scheme based on the multi-energy complementarity entropy increase coefficient.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The steps of implementing the statistical analysis method for the multi-energy complementary performance of the integrated energy system as described in any one of claims 1-7 when the processor is used to execute a computer program.

10. A storage medium storing a computer program, characterized in that, When a computer program is executed by a processor, it implements the steps of the statistical analysis method for the multi-energy complementary performance of an integrated energy system as described in any one of claims 1-7.

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