Comprehensive energy system efficiency evaluation method, system, equipment and medium

Abstract

The invention provides an integrated energy system efficiency evaluation method, system and device and a medium, and relates to the technical field of energy system efficiency evaluation, and the method comprises the steps: obtaining the integrated energy system data of s integrated energy systems; calculating four system evaluation indexes of each integrated energy system by using the integrated energy system data; processing the system evaluation indexes by using an entropy weight method, and determining an objective weight of each system evaluation index; and the objective weights of the four system evaluation indexes are applied to a TOPSIS method, and the comprehensive evaluation index of each comprehensive energy system scheme is calculated. According to the method, the multi-dimensional system evaluation index is calculated through the comprehensive energy system data, the objective weight is determined through the entropy weight method and applied to the TOPSIS method to calculate the comprehensive evaluation index, the comprehensiveness, objectivity and accuracy of efficiency evaluation of the comprehensive energy system can be improved, and powerful support is provided for optimization and improvement of the comprehensive energy system.

Description

Background Art

[0002] An integrated energy system refers to an energy system that uses advanced physical information technology and innovative management models to organically integrate and coordinate the management of multiple energy forms such as coal, oil, natural gas, electricity, and thermal energy within a certain area. With the continuous growth of energy demand and the increasing attention to environmental protection, the integrated energy system, as a key carrier for achieving optimal energy allocation and efficient conversion, can achieve the coordinated complementarity and cascade utilization of multiple energy forms, which is of great significance to alleviating the energy crisis and reducing environmental pollution. It has received widespread attention in the context of advocating sustainable development and efficient energy utilization. In many fields such as industrial production and urban energy supply, the application of integrated energy systems is becoming more and more extensive, and the performance evaluation of integrated energy systems has become a key link in measuring the pros and cons of the system and guiding the optimization and upgrading of the system.

[0003] In the existing technology, some comprehensive evaluation index systems of integrated energy systems are evaluated through refined evaluation indicators of a single dimension, such as considering the investment cost and benefits of the system from an economic perspective, or considering the impact of the integrated energy system on the environment, and comprehensively considering carbon emissions and pollutant emissions during the operation of the system, so as to judge the performance of the integrated energy system; some methods use a weighted average method to process multiple evaluation indicators to obtain a comprehensive evaluation result, which can reflect some performance characteristics of the integrated energy system to a certain extent, such as a comprehensive evaluation index system of an energy system that takes into account both economic and environmental benefits.

[0004] However, the existing comprehensive evaluation index system for integrated energy systems is often based on specific application scenarios or needs and is not universal; single-dimensional evaluation indicators cannot fully reflect the comprehensive performance of all aspects of the integrated energy system during operation, and the weighted average method is highly subjective. The determination of weights often lacks scientific basis and cannot objectively reflect the importance of each evaluation indicator in the comprehensive evaluation, which greatly reduces the accuracy and reliability of the evaluation results, making it difficult to make accurate judgments on the actual performance of the integrated energy system and unable to provide strong support for the optimization and improvement of the system. Summary of the invention

[0005] In view of the technical problems that the existing comprehensive energy system efficiency evaluation methods have poor versatility, one-sided single-dimensional evaluation, and strong subjectivity of simple weighted average, which lead to poor accuracy and reliability of evaluation results, the present invention provides a comprehensive energy system efficiency evaluation method, which calculates multi-dimensional system evaluation indicators based on comprehensive energy system data, uses the entropy weight method to determine the objective weight of each evaluation indicator and applies the TOPSIS method to calculate the comprehensive evaluation index, which can improve the comprehensiveness, objectivity and accuracy of the comprehensive energy system efficiency evaluation, and provide strong support for the optimization and improvement of the comprehensive energy system.

[0006] In a first aspect, the present invention provides a comprehensive energy system performance evaluation method, specifically a comprehensive energy system performance evaluation method based on multi-dimensional collaborative optimization, the steps comprising: S1. Obtain the integrated energy system data of s integrated energy systems, which include basic environmental assessment data, thermodynamic property data, economic accounting data and new energy consumption data, where s is a natural number ≥ 2; S2. Use the integrated energy system data to calculate the system evaluation indicators of each integrated energy system, including environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators; Among them, environmental indicators are calculated using basic environmental assessment data, thermodynamic efficiency indicators are calculated using thermodynamic characteristic data, economic indicators are calculated using economic accounting data, and green electricity performance indicators are calculated using new energy consumption data; S3. Use the entropy weight method to process the system evaluation indicators and determine the objective weight of each system evaluation indicator; S4. Apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution , is the relative closeness between the nth integrated energy system solution and the ideal solution, .

[0007] It should be further explained that in step S1, the basic data for environmental assessment include the total carbon emission of the integrated energy system, the carbon emission intensity of the load node, and the load value of the load node. The load node is the node with the maximum carbon emission intensity in the integrated energy system; Thermodynamic characteristic data include all node entropy increments, branch entropy increments and branch distribution entropies in the integrated energy system; The economic accounting data include the system investment cost, system operation cost, system maintenance cost and post-production cost of the integrated energy system; New energy consumption data includes the actual power generation of renewable energy and the theoretical maximum power generation of renewable energy.

[0008] It should be further explained that in step S2, the calculation formula of the environmental index is:

[0009] In the formula, It is an environmental indicator; is the total carbon emissions of the integrated energy system; is the maximum carbon emission intensity of the load node; is the load value of the load node; The calculation formula of thermodynamic efficiency index is:

[0010] In the formula, Represents the thermodynamic efficiency index; is the cumulative entropy increment of the system nodes; is the node entropy increment; is the branch entropy increment; Assign entropy to branches; The calculation formula of economic index is:

[0011] In the formula, It is an economic indicator; The total life cycle cost of the integrated energy system; System investment cost; System operating costs; System maintenance costs; For later costs; The calculation formula of green electricity performance index is:

[0012] In the formula, It is the green electricity performance indicator; For new energy consumption, the expression is:

[0013] in, is the actual electricity generated by renewable energy; The theoretical maximum power generation capacity of renewable energy.

[0014] It should be further explained that the specific steps of step S3 include: S301. Construct an indicator evaluation matrix, which is expressed as:

[0015] in, Indicates The first integrated energy system System evaluation indicators, ; S302. Evaluation of all system indicators Forward processing, the formula is: ; S303. For each positively processed , calculate its proportion : ; S304. Calculate the Information entropy of system evaluation indicators : ; S305. Calculate information redundancy value : ; Calculate the Objective weights of system evaluation indicators : .

[0016] It should be further explained that, in step S301, the first system evaluation index is an environmental index, the second system evaluation index is a thermodynamic efficiency index, the third system evaluation index is an economic index, and the fourth system evaluation index is a green electricity performance index.

[0017] It should be further explained that in step S4, the comprehensive evaluation index The calculation steps include: S401. For all Normalization is performed, and the formula is: ; S402. Use of objective weights and normalized environmental indicators Construct a weighted matrix. The first integrated energy system Weighted Indicators The expression is: ; S403. Find the best solution and the worst solution : ; ; S404. Calculate the optimal distance and the worst distance : ; ; S405. Calculate the comprehensive evaluation index of each sample : .

[0018] It should be further explained that the method further includes step S5: sorting the comprehensive evaluation indexes of the various integrated energy system solutions according to their numerical values, and the integrated energy system with a larger comprehensive evaluation index has a higher evaluation.

[0019] In a second aspect, the present invention provides an integrated energy system performance evaluation system, which is used to implement the above-mentioned integrated energy system performance evaluation method, comprising: A data acquisition module, used for acquiring integrated energy system data of s integrated energy systems; An index calculation module, used to calculate the system evaluation index of each comprehensive energy system using the comprehensive energy system data; An objective weight determination module is used to process the system evaluation indicators using the entropy weight method to determine the objective weight of each system evaluation indicator; The comprehensive evaluation module is used to apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution.

[0020] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the above-mentioned integrated energy system efficiency evaluation method when executing the computer program.

[0021] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned integrated energy system performance evaluation method are implemented.

[0022] The beneficial effects of the present invention are: 1. The comprehensive energy system performance evaluation method based on multi-dimensional collaborative optimization provided by the present invention obtains comprehensive energy system data from various aspects and calculates four system evaluation indicators of each comprehensive energy system, then uses the entropy weight method to process the system evaluation indicators, determines the objective weight of each system evaluation indicator, and finally applies the objective weight of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each comprehensive energy system solution. Multi-dimensional evaluation of the four system evaluation indicators can comprehensively reflect the comprehensive performance of the comprehensive energy system, avoid the one-sidedness of evaluation from only a single dimension, make the evaluation results more truly reflect the overall performance of the system in actual operation, and improve the comprehensiveness of the comprehensive energy system performance evaluation.

[0023] 2. The present invention adopts the entropy weight method to determine the objective weights of system evaluation indicators. The weights are determined based on the information entropy of the data itself, avoiding the interference of human subjective factors. It scientifically and reasonably reflects the importance of each system evaluation indicator in the comprehensive evaluation, and can objectively and accurately evaluate the comprehensive energy system, thereby improving the credibility and reliability of the evaluation results.

[0024] 3. The present invention applies the objective weights determined by the entropy weight method to the TOPSIS method to calculate the comprehensive evaluation index, and evaluates the integrated energy system solution by the relative closeness value to the ideal solution. It comprehensively considers the relationship between various indicators and the gap between the system solution and the ideal state, and can accurately judge the performance of the integrated energy system. Provide a more targeted and effective basis for the optimization and improvement of the integrated energy system, and promote the development of the integrated energy system in a more efficient, environmentally friendly and economical direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0026] Figure 1 It is a flow chart of a comprehensive energy system performance evaluation method in one embodiment of the present invention.

[0027] Figure 2 It is a schematic block diagram of a comprehensive energy system performance evaluation system in one embodiment of the present invention.

[0028] Figure 3 It is a schematic diagram of the hardware structure of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in this specific embodiment. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] The present application involves a comprehensive energy system performance evaluation method based on multi-dimensional collaborative optimization, which mainly targets the technical field of energy system performance evaluation. It obtains comprehensive energy system data from various aspects and calculates four system evaluation indicators for each comprehensive energy system. The system evaluation indicators are then processed using the entropy weight method to determine the objective weight of each system evaluation indicator. Finally, the objective weights of the four system evaluation indicators are applied to the TOPSIS method to calculate the comprehensive evaluation index of each comprehensive energy system solution. The multi-dimensional evaluation of the four system evaluation indicators can comprehensively reflect the comprehensive efficiency of the integrated energy system, avoid the one-sidedness of evaluation from only a single dimension, make the evaluation results more truly reflect the overall performance of the system in actual operation, and improve the comprehensiveness of the comprehensive energy system efficiency evaluation; the entropy weight method is used to determine the objective weights of the system evaluation indicators, and the weights are determined according to the information entropy of the data itself, avoiding the interference of human subjective factors, and scientifically and reasonably reflecting the importance of each system evaluation indicator in the comprehensive evaluation. It can objectively and accurately evaluate the integrated energy system and improve the credibility and reliability of the evaluation results; the objective weights determined by the entropy weight method are applied to the TOPSIS method to calculate the comprehensive evaluation index, and the integrated energy system scheme is evaluated by the relative closeness value to the ideal solution. The relationship between the indicators and the gap between the system scheme and the ideal state are comprehensively considered, which can accurately judge the performance of the integrated energy system, provide a more targeted and effective basis for the optimization and improvement of the integrated energy system, and promote the development of the integrated energy system in a more efficient, environmentally friendly and economical direction.

[0031] The present application involves a comprehensive energy system efficiency evaluation method which mainly addresses the technical problems that existing comprehensive energy system efficiency evaluation methods have poor versatility, one-sided single-dimensional evaluation, and strong subjectivity of simple weighted average, resulting in poor accuracy and reliability of evaluation results.

[0032] A comprehensive energy system performance evaluation method involved in the present application will be described in detail below. For the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are provided to facilitate a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details.

[0033] In the comprehensive energy system performance evaluation method involved in the present application, the term "including" used indicates the existence of the described features, entities, steps, operations, elements and / or components, but does not exclude the existence or addition of one or more other features, entities, steps, operations, elements, components and / or their collections. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0034] In order to clearly describe the technical solution of the present application, the words "first", "second" and the like are used to distinguish the same or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit the difference.

[0035] The phrases such as "one embodiment" or "some embodiments" described in the present application mean that the specific features, structures or characteristics described in the embodiment are included in one or more embodiments of the present application. Therefore, the phrases such as "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments" etc. that appear in different places in the present application do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] An integrated energy system performance evaluation method provided by an embodiment of the present invention is executed by a computer device, and accordingly, an integrated energy system performance evaluation system runs in the computer device.

[0038] Figure 1 is a flow chart of a comprehensive energy system performance evaluation method according to an embodiment of the present invention. Figure 1 The execution subject may be a comprehensive energy system performance evaluation system. According to different requirements, the order of the steps in the flow chart may be changed, and some may be omitted.

[0039] The comprehensive energy system efficiency evaluation method is a comprehensive energy system efficiency evaluation method based on multi-dimensional collaborative optimization, such as Figure 1 As shown in Figure 2, the comprehensive energy system performance evaluation method includes: Step S1, obtaining integrated energy system data of s integrated energy systems, the integrated energy system data including basic environmental assessment data, thermodynamic property data, economic accounting data and new energy consumption data, s is a natural number ≥2.

[0040] Acquiring multi-dimensional comprehensive energy system data involving the environment, thermodynamics, economy and new energy consumption provides a rich and necessary data basis for comprehensive evaluation, which can reflect system characteristics from multiple perspectives, avoid one-sided evaluation and ensure that subsequent evaluations cover all key aspects of the system.

[0041] In some specific embodiments, the basic environmental assessment data includes the total carbon emission of the integrated energy system, the carbon emission intensity of the load node, and the load value of the load node, where the load node is the node with the maximum carbon emission intensity in the integrated energy system; Thermodynamic characteristic data include all node entropy increments, branch entropy increments and branch distribution entropies in the integrated energy system; The economic accounting data include the system investment cost, system operation cost, system maintenance cost and post-production cost of the integrated energy system; New energy consumption data includes the actual power generation of renewable energy and the theoretical maximum power generation of renewable energy.

[0042] Clarifying the specific contents of environmental assessment basic data, thermodynamic property data, economic accounting data and new energy consumption data provides a clear data basis for accurately calculating the corresponding system evaluation indicators, making the assessment process more operational and accurate.

[0043] Step S2, using the integrated energy system data to calculate system evaluation indicators of each integrated energy system, the system evaluation indicators including environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators; Among them, environmental indicators are calculated using basic environmental assessment data, thermodynamic efficiency indicators are calculated using thermodynamic characteristics data, economic indicators are calculated using economic accounting data, and green electricity performance indicators are calculated using new energy consumption data.

[0044] By calculating four system evaluation indicators based on comprehensive energy system data, we can quantify the performance of various aspects of the system, convert the system's performance in different fields into specific values, and comprehensively display the system's performance characteristics, providing a reliable basis for evaluation and decision-making.

[0045] In some specific embodiments, the calculation formula of the environmental index is:

[0046] In the formula, It is an environmental indicator; is the total carbon emissions of the integrated energy system; is the maximum carbon emission intensity of the load node; is the load value of the load node; The calculation formula of thermodynamic efficiency index is:

[0047] In the formula, Represents the thermodynamic efficiency index; is the cumulative entropy increment of the system nodes; is the node entropy increment; is the branch entropy increment; Assign entropy to branches; The calculation formula of economic index is:

[0048] In the formula, It is an economic indicator; The total life cycle cost of the integrated energy system; System investment cost; System operating costs; System maintenance costs; For later costs; The calculation formula of green electricity performance index is:

[0049] In the formula, It is the green electricity performance indicator; For new energy consumption, the expression is:

[0050] in, is the actual electricity generated by renewable energy; The theoretical maximum power generation capacity of renewable energy.

[0051] Specific calculation formulas for environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators are given, which unifies the indicator calculation standards, ensures the scientific and standardized nature of the evaluation process, and facilitates fair comparison between different integrated energy systems.

[0052] Step S3, using the entropy weight method to process the system evaluation indicators and determine the objective weight of each system evaluation indicator.

[0053] Using the entropy weight method, the weights are determined based on the information entropy of the system evaluation indicators themselves. Indicators with large data fluctuations and rich information have higher weights. This can eliminate human interference and avoid subjectivity in the weight determination process, so that the objective weight of each indicator can more truly reflect the importance of the indicator and improve the credibility of the evaluation.

[0054] In some specific embodiments, the specific steps of step S3 include: S301. Construct an indicator evaluation matrix, which is expressed as:

[0055] in, Indicates The first integrated energy system System evaluation indicators, ; S302. Evaluation of all system indicators Forward processing, the formula is: ; S303. For each positively processed , calculate its proportion : ; S304. Calculate the Information entropy of system evaluation indicators : ; S305. Calculate information redundancy value : ; Calculate the Objective weights of system evaluation indicators : .

[0056] The specific steps of determining the objective weights by the entropy weight method are clarified. By constructing an indicator evaluation matrix and calculating the proportion of system evaluation indicators, information entropy, information redundancy value and objective weights after forward processing, the process of determining the objective weights is made rigorous and scientific, which improves the accuracy of the objective weights and thus enhances the reliability of the comprehensive evaluation results.

[0057] In some specific embodiments, in step S301, the first system evaluation index is an environmental index, the second system evaluation index is a thermodynamic efficiency index, the third system evaluation index is an economic index, and the fourth system evaluation index is a green electricity performance index.

[0058] By stipulating the order of each system evaluation indicator in the indicator evaluation matrix, clear rules are provided for constructing the matrix and subsequent calculations, avoiding data confusion and ensuring the standardization and consistency of the evaluation process.

[0059] Step S4, applying the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution , is the relative closeness between the nth integrated energy system solution and the ideal solution, .

[0060] Combining the objective weights determined by the entropy weight method with the comprehensive evaluation index calculated by the TOPSIS method can comprehensively consider the various performances of the integrated energy system, scientifically evaluate the pros and cons of the performance of each integrated energy system, and provide strong support for the screening and optimization of the integrated energy system.

[0061] In some specific embodiments, the comprehensive evaluation index The calculation steps include: S401. For all Normalization is performed, and the formula is: ; S402. Use of objective weights and normalized environmental indicators Construct a weighted matrix. The first integrated energy system Weighted Indicators The expression is: ; S403. Find the best solution and the worst solution : ; ; S404. Calculate the optimal distance and the worst distance : ; ; S405. Calculate the comprehensive evaluation index of each sample : .

[0062] The specific steps of calculating the comprehensive evaluation index by the TOPSIS method are clarified, including normalization, constructing a weighted matrix, finding the best and worst solutions, calculating the best and worst distances and the comprehensive evaluation index, so that the comprehensive evaluation process is clear and standardized, and the accuracy and repeatability of the comprehensive evaluation are improved.

[0063] In some specific embodiments, step S5 is included: the comprehensive evaluation index of each integrated energy system solution is sorted according to the numerical value, and the integrated energy system with a larger comprehensive evaluation index has a higher evaluation.

[0064] Sorting the comprehensive evaluation index of integrated energy system solutions can intuitively reflect the advantages and disadvantages of each system, making it convenient for decision makers to quickly screen out high-quality solutions and provide a clear basis for the optimization and selection of integrated energy systems.

[0065] In a specific embodiment, a comprehensive energy system performance evaluation method based on multi-dimensional collaborative optimization includes: Step S1, obtaining integrated energy system data of s integrated energy systems, the integrated energy system data including basic environmental assessment data, thermodynamic property data, economic accounting data and new energy consumption data, s is a natural number ≥ 2; The basic data for environmental assessment include the total carbon emissions of the integrated energy system. , Carbon emission intensity of load nodes , load value of load node , the load node is the node with the maximum carbon emission intensity in the integrated energy system; Among them, the total carbon emissions Refers to the total amount of carbon dioxide generated directly or indirectly during the operation of the integrated energy system, expressed as:

[0066] In the formula, is the electricity generated by coal-fired power plants; is the power generation of the gas turbine; is the CO2 emission coefficient of coal-fired power generation; is the carbon dioxide emission coefficient of natural gas combustion; Thermodynamic property data include all node entropy increments in the integrated energy system , branch entropy increment and branch assignment entropy ; Economic accounting data include system investment costs of integrated energy systems , system operating costs , system maintenance costs and later costs ; Among them, the investment cost It is the fixed cost in the initial stage of system construction, including equipment purchase cost, installation and commissioning cost and infrastructure construction cost, and the expression is:

[0067] In the formula, is the number of device types; For the Equipment purchase cost ; Installation and commissioning costs; For infrastructure construction costs; System operating costs is the ongoing cost during system operation, expressed as:

[0068] In the formula, The amount of electricity purchased from the grid; is the average electricity price; is the total natural gas consumption of the system; is the average price of natural gas; New energy consumption data includes actual power generation from renewable energy sources and the theoretical maximum power generation of renewable energy ; Step S2, using the integrated energy system data to calculate system evaluation indicators of each integrated energy system, the system evaluation indicators including environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators; Among them, environmental indicators are calculated using basic environmental assessment data, thermodynamic efficiency indicators are calculated using thermodynamic characteristic data, economic indicators are calculated using economic accounting data, and green electricity performance indicators are calculated using new energy consumption data; Environmental indicators The calculation formula is:

[0069] Thermodynamic performance index The calculation formula is:

[0070] In the formula, is the cumulative entropy increment of the system nodes; Economic indicators The calculation formula is:

[0071] In the formula, The total life cycle cost of the integrated energy system; Green power performance indicators The calculation formula is:

[0072] In the formula, For new energy consumption, the expression is: ; Step S3, using the entropy weight method to process the system evaluation indicators and determine the objective weight of each system evaluation indicator, the specific steps include: S301. Construct an indicator evaluation matrix, which is expressed as:

[0073] in, Indicates The first integrated energy system System evaluation indicators, ; S302. Evaluation of all system indicators Forward processing, the formula is: ; S303. For each positively processed , calculate its proportion : ; S304. Calculate the Information entropy of system evaluation indicators : ; S305. Calculate information redundancy value : ; Calculate the Objective weights of system evaluation indicators : ; Step S4, applying the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution , is the relative closeness between the nth integrated energy system solution and the ideal solution, ; Comprehensive evaluation index The calculation steps include: S401. For all Normalization is performed, and the formula is: ; S402. Use of objective weights and normalized environmental indicators Construct a weighted matrix. The first integrated energy system Weighted Indicators The expression is: ; S403. Find the best solution and the worst solution : ; ; S404. Calculate the optimal distance and the worst distance : ; ; S405. Calculate the comprehensive evaluation index of each sample : ; Step S5, sorting the comprehensive evaluation indexes of the various integrated energy system solutions according to their numerical values. The integrated energy system with a larger comprehensive evaluation index has a higher evaluation.

[0074] The following is an embodiment of an integrated energy system efficiency evaluation system provided by the embodiments of the present disclosure. The active load reduction optimization system and the integrated energy system efficiency evaluation method of the above-mentioned embodiments belong to the same inventive concept. For details not described in detail in the embodiment of an integrated energy system efficiency evaluation system, reference can be made to the embodiment of the above-mentioned integrated energy system efficiency evaluation method.

[0075] A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the subsequent description, suffixes such as "module", "component" or "unit" used to represent elements are used only to facilitate the description of the embodiments of the present invention and have no specific meaning in themselves. Therefore, "module" and "component" can be used interchangeably.

[0076] like Figure 2 As shown, a comprehensive energy system performance evaluation system includes: A data acquisition module, used for acquiring integrated energy system data of s integrated energy systems; An index calculation module, used to calculate the system evaluation index of each comprehensive energy system using the comprehensive energy system data; An objective weight determination module is used to process the system evaluation indicators using the entropy weight method to determine the objective weight of each system evaluation indicator; The comprehensive evaluation module is used to apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution.

[0077] The comprehensive energy system performance evaluation system of this embodiment is used to implement a comprehensive energy system performance evaluation method, and the steps include: S1. Obtain the integrated energy system data of s integrated energy systems, which include basic environmental assessment data, thermodynamic property data, economic accounting data and new energy consumption data, where s is a natural number ≥ 2; S2. Use the integrated energy system data to calculate the system evaluation indicators of each integrated energy system, including environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators; Among them, environmental indicators are calculated using basic environmental assessment data, thermodynamic efficiency indicators are calculated using thermodynamic characteristic data, economic indicators are calculated using economic accounting data, and green electricity performance indicators are calculated using new energy consumption data; S3. Use the entropy weight method to process the system evaluation indicators and determine the objective weight of each system evaluation indicator; S4. Apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution , is the relative closeness between the nth integrated energy system solution and the ideal solution, .

[0078] Those skilled in the art will appreciate that the electronic device structure involved in the embodiments of the present invention does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0079] Figure 3 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0080] The electronic device includes but is not limited to components such as a processor and a memory. Those skilled in the art will appreciate that the electronic device structure involved in the embodiments of the present invention does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0081] In the embodiments of the present invention, 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 can 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 the present application described and / or required herein.

[0082] In the embodiment of the present application, the processor can be implemented by 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, and an electronic unit designed to perform the functions described herein. In some cases, such an implementation can be implemented in a controller. For software implementation, implementations such as processes or functions can be implemented with separate software modules that allow execution of at least one function or operation. The software code can be implemented by a software application (or program) written in any appropriate programming language, and the software code can be stored in a memory and executed by a controller.

[0083] In addition, the electronic device includes some functional modules not shown, which will not be described in detail here.

[0084] Those skilled in the art will appreciate that the various aspects of the electronic device provided by the present application may be implemented as a system, method or program product. Therefore, the various aspects of the present disclosure may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software, which may be collectively referred to as a "circuit", "module" or "system" herein.

[0085] The present application also provides a storage medium, in which a program product capable of implementing a comprehensive energy system performance evaluation method is stored. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present disclosure described in the above "Exemplary Method" section of this specification.

[0086] The storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0087] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A comprehensive energy system performance evaluation method, characterized in that the steps include: S1. Obtain the integrated energy system data of s integrated energy systems, which include basic environmental assessment data, thermodynamic property data, economic accounting data and new energy consumption data, where s is a natural number ≥ 2; S2. Use the integrated energy system data to calculate the system evaluation indicators of each integrated energy system, including environmental indicators, thermodynamic efficiency indicators, economic indicators and green electricity performance indicators; Among them, environmental indicators are calculated using basic environmental assessment data, thermodynamic efficiency indicators are calculated using thermodynamic characteristic data, economic indicators are calculated using economic accounting data, and green electricity performance indicators are calculated using new energy consumption data; S3. Use the entropy weight method to process the system evaluation indicators and determine the objective weight of each system evaluation indicator; S4. Apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution , is the relative closeness between the nth integrated energy system solution and the ideal solution, .

2. The comprehensive energy system performance evaluation method according to claim 1, characterized in that: In step S1, the basic data for environmental assessment includes the total carbon emissions of the integrated energy system. , Carbon emission intensity of load nodes , load value of load node , the load node is the node with the maximum carbon emission intensity in the integrated energy system; Thermodynamic characteristic data include all node entropy increments and branch entropy increments in the integrated energy system and branch assignment entropy ; Economic accounting data include system investment costs of integrated energy systems , system operating costs , system maintenance costs and later costs ; New energy consumption data includes actual power generation from renewable energy sources and the theoretical maximum power generation of renewable energy .

3. The comprehensive energy system performance evaluation method according to claim 2, characterized in that: In step S2, the environmental index The calculation formula is: Thermodynamic performance index The calculation formula is: In the formula, is the cumulative entropy increment of the system nodes; Economic indicators The calculation formula is: In the formula, The total life cycle cost of the integrated energy system; Green power performance indicators The calculation formula is: In the formula, For new energy consumption, the expression is: 。 4. The comprehensive energy system performance evaluation method according to claim 1, characterized in that: The specific steps of step S3 include: S301. Construct an indicator evaluation matrix, which is expressed as: in, Indicates The first integrated energy system System evaluation indicators, ; S302. Evaluation of all system indicators Forward processing, the formula is: ； S303. For each positively processed , calculate its proportion : ； S304. Calculate the Information entropy of system evaluation indicators : ； S305. Calculate information redundancy value : ； Calculate the Objective weights of system evaluation indicators : 。 5. The comprehensive energy system performance evaluation method according to claim 4, characterized in that: In step S301, the first system evaluation index is an environmental index, the second system evaluation index is a thermodynamic efficiency index, the third system evaluation index is an economic index, and the fourth system evaluation index is a green electricity performance index.

6. The comprehensive energy system performance evaluation method according to claim 4, characterized in that: Comprehensive evaluation index The calculation steps include: S401. For all Normalization is performed, and the formula is: ； S402. Use of objective weights and normalized environmental indicators Construct a weighted matrix. The first integrated energy system Weighted Indicators The expression is: ； S403. Find the best solution and the worst solution : ； ； S404. Calculate the optimal distance and the worst distance : ； ； S405. Calculate the comprehensive evaluation index of each sample : 。 7. The comprehensive energy system performance evaluation method according to claim 1, characterized in that: The step S5 is also included: sorting the comprehensive evaluation indexes of the various integrated energy system solutions according to their numerical values. The integrated energy system with a larger comprehensive evaluation index has a higher evaluation.

8. A comprehensive energy system performance evaluation system, characterized in that: A method for implementing the comprehensive energy system performance evaluation method as claimed in any one of claims 1 to 7, comprising: A data acquisition module, used for acquiring integrated energy system data of s integrated energy systems; An index calculation module, used to calculate the system evaluation index of each comprehensive energy system using the comprehensive energy system data; An objective weight determination module is used to process the system evaluation indicators using the entropy weight method to determine the objective weight of each system evaluation indicator; The comprehensive evaluation module is used to apply the objective weights of the four system evaluation indicators to the TOPSIS method to calculate the comprehensive evaluation index of each integrated energy system solution.

9. An electronic device, characterized in that: It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the comprehensive energy system performance evaluation method as described in any one of claims 1 to 7 when executing the computer program.

10. A storage medium, characterized in that: A computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the comprehensive energy system performance evaluation method as described in any one of claims 1 to 7 are implemented.

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