District integrated energy system scale competition evaluation method

Abstract

The invention relates to a scale competition evaluation method for a park integrated energy system. The method comprises the steps that firstly, a park integrated energy system multi-dimensional evaluation index set is constructed, and the multi-dimensional evaluation index set comprises an energy criterion, an economic criterion, an environment criterion, a reliability criterion and a green process criterion; afterwards, a park comprehensive energy scale competition evaluation model is established, and the park comprehensive energy scale competition evaluation model comprises a fuzzy analytic hierarchy process evaluation model, an envelope analysis optimization model and a dynamic scale model; and finally, subjective and objective weighting is performed on the park integrated energy system multi-dimensional evaluation indexes based on the park integrated energy scale competition evaluation model, and a park integrated energy system evaluation result is obtained through calculation. According to the method, a criterion type index with single performance is considered, and meanwhile, the dynamic development attribute of the index is considered, so that the problems of non-fine quantification of the park evaluation index and unknown evaluation result orientation are solved.

Description

Technical Field

[0001] The present application relates to the field of integrated energy systems, and in particular to a competitive evaluation method for a scale of integrated energy systems in a park. Background Art

[0002] In recent years, my country's terminal energy system has gradually developed towards intelligence, cleanliness, electrification and high penetration of renewable energy. As the main carrier of production and life, the park is highly concentrated with advanced elements and has vigorous innovation activities. At present, my country's research on low-carbon / zero-carbon parks is still in its infancy. The multi-dimensional evaluation of parks faces challenges such as numerous scenarios, complex dimensions, and inconsistent subjects, resulting in a large number of current evaluation indicators, and problems such as high correlation, easy confusion, and non-standardization.

[0003] In addition, the research on the evaluation of park benefits focuses on analyzing the economic, social, environmental and other benefits it can bring, but there are few secondary indicators, which cannot fully and deeply reflect the benefits of specific links in operation, and the granularity is not fine enough. In terms of evaluation methods, traditional evaluation methods are highly subjective, the comprehensiveness of indicators is low, and they are still at the theoretical level, and the practicality of supporting the implementation of specific cases is difficult to verify. Therefore, there are still severe challenges in systematically and comprehensively constructing a multi-attribute evaluation index system and innovating multi-criteria comprehensive evaluation methods. In addition, park evaluation only considers data from a single regional park and a single time section, while park planning is a medium- and long-term dynamic rolling process, with complex equipment, numerous industrial entities, and large regional differences in construction goals. The superimposed effects brought about by its realistic characteristics such as time development and spatial differences cannot be ignored.

[0004] Therefore, in the relevant technologies, there is an urgent need for a method that can construct a set of multi-attribute and multi-scale evaluation indicators covering the overall economic cost of the park, energy efficiency, carbon emission levels, and other aspects, as well as an optimized evaluation decision-making method that considers the role of temporal and spatial characteristics. Summary of the invention

[0005] Based on this, it is necessary to provide a competitive evaluation method for the scale of the park's comprehensive energy system to address the above technical problems, which can construct a set of multi-attribute and multi-scale evaluation indicators covering the overall economic cost of the park, energy efficiency, carbon emission level, etc., as well as an optimization evaluation decision that considers the role of temporal and spatial characteristics.

[0006] In a first aspect, the present application provides a competitive evaluation method for a comprehensive energy system in a park. The method comprises:

[0007] Constructing a multi-dimensional evaluation index set for the park's comprehensive energy system, the multi-dimensional evaluation index set including energy criteria, economic criteria, environmental criteria, reliability criteria, and greening process criteria;

[0008] Establishing a comprehensive energy scale competition evaluation model for a park, wherein the comprehensive energy scale competition evaluation model for a park includes a fuzzy hierarchical analysis evaluation model, an envelope analysis optimization model and a dynamic scale model;

[0009] Based on the competitive evaluation model of the park's comprehensive energy scale, the multi-dimensional evaluation indicators of the park's comprehensive energy system are subjectively and objectively weighted, and the evaluation results of the park's comprehensive energy system are calculated.

[0010] Optionally, in one embodiment of the present application, the energy criteria include natural gas consumption constraints, electricity consumption constraints, electricity purchase constraints, clean energy consumption rate constraints, multi-energy consumption constraints, Efficiency constraints and clean energy utilization constraints.

[0011] Optionally, in one embodiment of the present application, the economic criteria include investment cost constraints, operating cost constraints, electricity purchase cost constraints, total operating revenue constraints, energy storage unit capacity revenue constraints, and certified voluntary emission reduction sales revenue constraints.

[0012] Optionally, in one embodiment of the present application, the environmental criteria include CO2 emission constraints, NO X Emission constraints, certified voluntary emission reduction purchase constraints, clean energy carbon emission reduction constraints, carbon neutrality rate constraints, and certified voluntary emission reduction sales constraints.

[0013] Optionally, in one embodiment of the present application, the reliability criteria include power shortage time constraint, power shortage amount constraint, power shortage risk cost constraint, power supply reliability rate constraint, and energy supply rate constraint.

[0014] Optionally, in one embodiment of the present application, the envelope analysis optimization model is expressed as:

[0015]

[0016] Among them, v m is the weight of the mth input indicator, u k is the weight of the kth output indicator, X jm is the value of the mth input indicator of evaluation object j, Y jk is the value of the kth output indicator of evaluation object j, M is the total number of input indicators, K is the total number of output indicators, and N is the set of evaluation objects.

[0017] Optionally, in one embodiment of the present application, the dynamic scale model is expressed as:

[0018]

[0019] in, is the construction cost subsidy of the decision-making unit in period t, is the construction volume of decision-making units in period t, is the unit construction cost of the decision-making unit in period t, ε j is the cost proportion of the decision-making unit, is the proportion of construction cost of the decision-making unit.

[0020] In a second aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the steps of the method described in each of the above embodiments.

[0021] In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in each of the above embodiments are implemented.

[0022] The above-mentioned park comprehensive energy system scale competition evaluation method first constructs a multidimensional evaluation index set of the park comprehensive energy system, and the multidimensional evaluation index set includes energy criteria, economic criteria, environmental criteria, reliability criteria, and green process criteria; then, establishes a park comprehensive energy scale competition evaluation model, and the park comprehensive energy scale competition evaluation model includes a fuzzy hierarchical analysis evaluation model, an envelope analysis optimization model, and a dynamic scale model; finally, based on the park comprehensive energy scale competition evaluation model, the park comprehensive energy system multidimensional evaluation index is subjectively and objectively weighted, and the park comprehensive energy system evaluation result is calculated. In other words, a park "energy-economy-environment" multidimensional evaluation index set and scale competition evaluation method are proposed, including key indicators such as clean energy consumption rate, investment and operation cost, and carbon dioxide emissions, covering important aspects of the current park low-carbon development evaluation. The proposed method considers the criterion-type indicators with a single performance, and at the same time considers the dynamic development attributes of the indicators, solves the problem of unclear quantification of park evaluation indicators and unclear evaluation results, and can effectively provide a benchmark reference for the efficiency improvement of parks in different criteria such as resource utilization, economic development, and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 An application environment diagram of a campus integrated energy system scale competition evaluation method in an embodiment;

[0024] Figure 2 A schematic diagram of a flow chart of a competitive evaluation method for a campus integrated energy system scale in an embodiment;

[0025] Figure 3 A schematic diagram of a competitive evaluation result of a park integrated energy system scale in an embodiment;

[0026] Figure 4 A schematic diagram of a competitive evaluation result of a park integrated energy system scale in an embodiment;

[0027] Figure 5 A schematic diagram of an overall framework of a competitive evaluation method for a campus integrated energy system in an embodiment;

[0028] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0030] The present application provides a method for evaluating the scale competition of a park integrated energy system, which can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the terminal 102 can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0031] In one embodiment, Figure 2 As shown in the figure, a competitive evaluation method for the scale of integrated energy system in a park is provided. Figure 1 The server in the example is used to illustrate the following steps:

[0032] S201: Construct a multidimensional evaluation index set for the park's comprehensive energy system, wherein the multidimensional evaluation index set includes energy criteria, economic criteria, environmental criteria, reliability criteria, and greening process criteria.

[0033] In the embodiment of the present application, firstly, a multidimensional evaluation index set and a mathematical calculation model are established, which include criteria such as energy, economy, and environment, as well as secondary indicators such as clean energy consumption rate, operating cost, and CO2 emissions as typical representatives.

[0034] Specifically, in one embodiment of the present application, the energy criteria include natural gas consumption constraints, electricity consumption constraints, electricity purchase constraints, clean energy consumption rate constraints, multi-energy consumption constraints, Efficiency constraints and clean energy utilization constraints.

[0035] In one embodiment of the present application, the energy criteria mainly include natural gas consumption constraints, electricity consumption constraints, electricity purchase constraints, clean energy consumption rate constraints, multi-energy Efficiency constraint and clean energy utilization constraint. Among them, the calculation method of natural gas consumption constraint is shown in the following formula.

[0036]

[0037] Among them, I gas represents the total natural gas consumption, represents the natural gas consumption of CCHP unit at time t, It represents the natural gas consumption of the gas boiler at time t.

[0038] The calculation method of the power consumption constraint is shown in the following formula.

[0039]

[0040] Among them, I ele Indicates the total amount of electrical energy consumption. represents the amount of electricity purchased by the park from the public grid at time t, represents the electric energy consumption of the heat pump at time t, It represents the electric energy consumption of the electric refrigerator at time t.

[0041] The calculation method of the power purchase quantity constraint is shown in the following formula.

[0042]

[0043] Among them, I elebuy represents the total amount of electricity purchased, Represents the amount of electricity purchased by the park from the public grid at time t.

[0044] The calculation method of the clean energy consumption rate constraint is shown in the following formula.

[0045]

[0046] Among them, I re1 represents the clean energy consumption rate, P wt and P pv Represent the actual output of wind turbine and photovoltaic respectively, N wt and N pv Represent the installed capacity of wind turbines and photovoltaics respectively.

[0047] Multi-functional The calculation method of efficiency constraint is shown in the following formula.

[0048]

[0049] Among them, I ex Multi-functional Efficiency, λ ele , gas , heat , solar , wind and λ cold Represent the energy quality coefficients of electricity, natural gas, thermal energy, solar energy, wind energy, and cold energy, E eload 、E hlood and E cload They represent electrical load, heating load and cooling load respectively, E ele 、E gas 、E pv and E wt They respectively represent the electricity consumption, natural gas consumption, photovoltaic power generation and wind turbine power generation of the park’s comprehensive energy system.

[0050] The calculation formula for clean energy utilization rate constraint is shown below.

[0051]

[0052] Among them, I re2 represents the utilization rate of clean energy, and They respectively represent the output of wind turbines and photovoltaics under ideal resource endowment conditions.

[0053] In one embodiment of the present application, the economic criteria include investment cost constraints, operating cost constraints, electricity purchase cost constraints, total operating revenue constraints, energy storage unit capacity revenue constraints, and certified voluntary emission reduction sales revenue constraints.

[0054] In one embodiment of the present application, the economic criteria mainly include investment cost constraints, operating cost constraints, power purchase cost constraints, total operating revenue constraints, energy storage unit capacity revenue constraints, and certified voluntary emission reduction sales revenue constraints. The calculation formula of the investment cost constraint is shown below.

[0055]

[0056] Among them, I inv represents the total investment cost of the park's integrated energy system, represents the unit investment cost of candidate equipment i, represents the investment capacity of candidate equipment i, Ω d Represents a collection of candidate devices.

[0057] The calculation formula for the operating cost constraint is shown below.

[0058]

[0059] Among them, I ope It represents the total operating cost of the park’s integrated energy system, including the cost of purchasing electricity from the main grid, the cost of purchasing natural gas, the cost of abandoned clean energy, the carbon emission cost, and the cost of energy equipment operation and maintenance. represents the grid electricity price at time t, represents the amount of electricity purchased at time t, represents the natural gas purchase price at time t, represents the unit clean energy curtailment cost, and They represent the abandoned power of wind turbine and photovoltaic power generation at time t respectively, represents carbon tax, represents the carbon emissions at time t, represents the unit operation and maintenance cost of energy equipment i, Represents the output value of energy device i at time t.

[0060] The calculation formula for the power purchase cost constraint is shown below.

[0061]

[0062] Among them, I ebuy Indicates the cost of purchasing electricity from the main grid.

[0063] The calculation formula for running the total revenue constraint is shown below.

[0064]

[0065] Among them, I revenue It represents the total revenue of surplus electricity grid connection, Indicates the feed-in tariff subsidy, Indicates the excess power available for Internet access at time t.

[0066] The calculation formula for the energy storage unit capacity benefit constraint is shown below.

[0067]

[0068] Among them, I per，revenue Represents the unit capacity benefit of energy storage, N inv，es Represents the energy storage investment capacity.

[0069] The calculation formula for the CER sales revenue constraint is as follows.

[0070] I CER,sell =c CER (Qsell,CER -Q buy,CER )

[0071] Among them, I CER,sell represents the proceeds from the sale of national certified voluntary emission reductions, c CER represents the unit price of national certified voluntary emission reductions, Q sell,CER It represents the amount of certified voluntary emission reductions sold to the carbon market by the country, Q buy,CER It indicates the amount of certified voluntary emission reductions purchased from the carbon market by the country.

[0072] In one embodiment of the present application, the environmental criteria include CO2 emission constraints, NO X Emission constraints, certified voluntary emission reduction purchase constraints, clean energy carbon emission reduction constraints, carbon neutrality rate constraints, and certified voluntary emission reduction sales constraints.

[0073] In one embodiment of the present application, the environmental criteria mainly include CO2 emission constraints, NO X Emissions constraints, certified voluntary emission reduction purchase constraints, clean energy carbon emission reduction constraints, carbon neutrality rate constraints, and certified voluntary emission reduction sales constraints. The calculation formula for CO2 emissions constraints is as follows.

[0074]

[0075] in, represents the total CO2 emissions, represents the carbon emission factor of electrical equipment, P i,t represents the power consumption of energy device i at time t, α grid represents the carbon emission factor of the power grid, It represents the amount of electricity purchased by the park from the public power grid at time t, T represents the total operating time, and n represents the total number of power-consuming devices.

[0076] NO X The calculation formula for the emission constraint is shown below.

[0077]

[0078] in, Indicates NO X Total emissions, Indicates that the electrical equipment is NO X Emission factor, β grid Indicates the NO of the power grid X Emission factors.

[0079] The calculation formula for the certified voluntary emission reduction purchase volume constraint is shown below.

[0080] I CER,buy =Q buy,CER

[0081] Among them, I CER,buy Represents the amount of voluntary emission reductions purchased by the state.

[0082] The calculation formula for clean energy carbon emission reduction constraints is shown below.

[0083]

[0084] Among them, I re,reduce represents the total amount of carbon emission reduction from clean energy, α re represents the clean energy carbon emission reduction factor, and They respectively represent the amount of surplus power connected to the grid by wind turbines and photovoltaics at time t.

[0085] The calculation formula for the carbon neutrality rate constraint is shown below.

[0086]

[0087] Among them, I cn It represents the carbon neutrality rate, which is defined as the ratio of carbon reduction to carbon emissions.

[0088] The calculation formula for the CER sales constraint is shown below.

[0089] I CER,sell =Q sell,CER

[0090] Among them, I CER,sell Represents the amount of national certified voluntary emission reductions sold.

[0091] In one embodiment of the present application, the reliability criteria include power shortage time constraint, power shortage amount constraint, power shortage risk cost constraint, power supply reliability rate constraint, and energy supply rate constraint.

[0092] In one embodiment of the present application, the reliability criteria mainly include power shortage time constraint, power shortage amount constraint, power shortage risk cost constraint, power supply reliability constraint, and energy supply rate constraint. The calculation formula of power shortage time constraint is as follows.

[0093]

[0094] Among them, I timeout Indicates the total time of insufficient power supply. A 0-1 flag indicating the power shortage period. If power shortage occurs in period t, it is set to 1.

[0095] The calculation formula for the power shortage constraint is as follows.

[0096]

[0097] Among them, I short Indicates insufficient power supply. Indicates the power shortage at time t.

[0098] The calculation formula for the power supply shortage risk cost constraint is as follows.

[0099]

[0100] Among them, I short,cost represents the risk cost of insufficient power supply, c risk Represents the unit risk cost of insufficient power supply.

[0101] The calculation formula for power supply reliability constraint is as follows.

[0102]

[0103] Among them, I reliable Represents the power supply reliability rate, represents the power shortage at time t, Represents the electrical load at time t.

[0104] The calculation formula for the energy supply rate constraint is shown below.

[0105]

[0106] Among them, I off Indicates the energy supply rate of the system in an isolated island state, and Respectively represent the wind turbine and photovoltaic output values ​​at time t, and Respectively represent the discharge power of the electric storage and the thermal storage at time t.

[0107] The green progress criteria mainly refer to the national and industry standards such as "National Ecological Industrial Demonstration Park Standards", "Green Park Evaluation Requirements", "Low-Carbon Park Evaluation Guidelines" to extract typical values. The specific indicators of the green progress criteria are shown in the following table.

[0108]

[0109] S203: Establishing a comprehensive energy scale competition evaluation model for a park, wherein the comprehensive energy scale competition evaluation model for a park includes a fuzzy hierarchical analysis evaluation model, an envelope analysis optimization model and a dynamic scale model.

[0110] S205: Based on the park comprehensive energy scale competitive evaluation model, subjective and objective weighting is performed on the multi-dimensional evaluation indicators of the park comprehensive energy system, and the evaluation result of the park comprehensive energy system is calculated.

[0111] In the embodiment of the present application, a park comprehensive energy scale competition evaluation model is established, and the park comprehensive energy scale competition evaluation model includes a fuzzy analytic hierarchy process evaluation model, an envelope analysis optimization model and a dynamic scale model. First, a fuzzy analytic hierarchy process (FAHP) evaluation model is established to weight the energy criteria, economic criteria, environmental criteria, reliability criteria, green process criteria and other indicators of the criterion layer, and then a data envelopment analysis (DEA) and a dynamic scale model are established to calculate the overall efficiency of the constraint data corresponding to each criterion of the criterion layer, and the time scale is dynamically weighted according to different evaluation cycles (such as assigning 4 corresponding time weights to the 4 evaluation cycles of 2016, 2018, 2020 and 2022), and finally the evaluation result of the park comprehensive energy system is obtained by comprehensive calculation.

[0112] The FAHP evaluation model specifically includes: using a triangular fuzzy function to define the importance of expert s to indicator d for indicator g, which consists of the minimum value, the most likely value, and the maximum value, as shown below.

[0113]

[0114] The fuzzy comparison judgment matrix is ​​formed according to the scores of n indicators by s experts, as shown below.

[0115]

[0116] Calculate the indicator weights according to the fuzzy comparison judgment matrix as shown below.

[0117]

[0118] Among them, V d Indicates the degree of ambiguity of indicator d with respect to other indicators.

[0119] Calculate the blur level V d >V k The degree of possibility is as follows.

[0120]

[0121] Calculate the weight matrix W of expert s S , as shown below.

[0122]

[0123] The weighted average weights of all experts for all indicators are calculated as follows.

[0124]

[0125] Among them, λ s represents the opinion weight of expert s,

[0126] Data envelopment analysis (DEA) is an objective evaluation method that solves the optimal weights of various indicators by constructing a weight optimization model with the goal of maximizing the efficiency value. The advantage of this method is that when solving the maximum relative efficiency of each decision-making unit, the weights of various indicators are determined through the optimization model without relying on subjective analysis.

[0127] In one embodiment of the present application, taking the system j to be evaluated as an example, the envelope analysis optimization model is expressed as:

[0128]

[0129] Among them, v m is the weight of the mth input indicator, u k is the weight of the kth output indicator, X jm is the value of the mth input indicator of evaluation object j, Y jk is the value of the kth output indicator of evaluation object j, M is the total number of input indicators, K is the total number of output indicators, and N is the set of evaluation objects.

[0130] The model can be converted into the following linear form through Charnes-Cooper transformation:

[0131]

[0132] Among them, E j is the relative efficiency value of evaluation object j.

[0133] Benchmark competition is also known as regional comparative competition. Its basic idea is that by introducing a certain number of regional enterprises of the same type as reference, the investment in any region will be determined by other similar enterprises. In the context of benchmark competition, regulators create a working group consisting of inefficient enterprises and benchmark enterprises by comparing similar regional enterprises with regional enterprises of similar operating conditions and economic levels, and use high-efficiency regions as benchmarks to guide the investment of inefficient enterprises.

[0134] In one embodiment of the present application, each observation area is regarded as a decision making unit (DMU). j The construction cost subsidy in period t can be expressed as:

[0135]

[0136] in, is the construction cost subsidy of the decision-making unit in period t, is the construction volume of decision-making units in period t, is the unit construction cost of the decision-making unit in period t, ε j is the cost proportion of the decision-making unit, is the proportion of construction cost of the decision-making unit.

[0137] like Figure 3 As shown in the figure, it is the evaluation value of five different criteria of the integrated energy system of eight functional parks in four development rolling cycles. C1, C2, C3, C4, and C5 represent the criteria of energy development, economic level, environmental level, reliability, and green process, respectively. Figure 4 The figure shows the overall development trend of the integrated energy systems of eight functional parks. The following evaluation results can be obtained through comprehensive analysis:

[0138] Although Park #1 has a high overall evaluation value, its economic and environmental standards have been declining year by year. After reaching a high maturity, the park has weakened its economic, low-carbon and environmentally friendly development, which is one of the common problems of mature park development.

[0139] Park #2 has a relatively high overall level in all stages of economic criteria, and its economic development is particularly outstanding, so it can be used as a benchmark park at this stage;

[0140] The overall levels of parks #4, #6, #7, and #8 are relatively high, and the evaluation values ​​have increased significantly, indicating that they have certain potential for steady development in energy, economy, and low carbon in the future;

[0141] Park #5 has the lowest overall and phase-by-phase development efficiency and currently has no development reference value.

[0142] like Figure 5 The figure shows the overall framework of the competitive evaluation method for the park integrated energy system benchmark.

[0143] In the above-mentioned park comprehensive energy system scale competition evaluation method, first, a multidimensional evaluation index set of the park comprehensive energy system is constructed, and the multidimensional evaluation index set includes energy criteria, economic criteria, environmental criteria, reliability criteria, and green process criteria; then, a park comprehensive energy scale competition evaluation model is established, and the park comprehensive energy scale competition evaluation model includes a fuzzy hierarchical analysis evaluation model, an envelope analysis optimization model, and a dynamic scale model; finally, based on the park comprehensive energy scale competition evaluation model, the park comprehensive energy system multidimensional evaluation index is subjectively and objectively weighted, and the park comprehensive energy system evaluation result is calculated. In other words, a park "energy-economy-environment" multidimensional evaluation index set and scale competition evaluation method are proposed, including key indicators such as clean energy consumption rate, investment and operation cost, and carbon dioxide emissions, covering important aspects of the current park low-carbon development evaluation. The proposed method considers the criterion-type indicators with a single performance, and at the same time considers the dynamic development attributes of the indicators, solves the problem of unclear quantification of park evaluation indicators and unclear evaluation results, and can effectively provide a benchmark reference for the efficiency improvement of parks in different criteria such as resource utilization, economic development, and environmental protection.

[0144] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0145] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a competitive evaluation method for a scale of an integrated energy system in a park is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse.

[0146] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0147] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0148] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0149] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0150] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0151] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0152] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0153] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A competitive evaluation method for a comprehensive energy system in a park, characterized in that: The method comprises: Constructing a multi-dimensional evaluation index set for the park's comprehensive energy system, the multi-dimensional evaluation index set including energy criteria, economic criteria, environmental criteria, reliability criteria, and greening process criteria; Establishing a comprehensive energy scale competition evaluation model for a park, wherein the comprehensive energy scale competition evaluation model for a park includes a fuzzy hierarchical analysis evaluation model, an envelope analysis optimization model and a dynamic scale model; Based on the competitive evaluation model of the park's comprehensive energy scale, the multi-dimensional evaluation indicators of the park's comprehensive energy system are subjectively and objectively weighted, and the evaluation results of the park's comprehensive energy system are calculated.

2. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The energy criteria include natural gas consumption constraints, electricity consumption constraints, electricity purchase constraints, clean energy consumption rate constraints, multi-energy Efficiency constraints and clean energy utilization constraints.

3. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The economic criteria include investment cost constraints, operating cost constraints, electricity purchase cost constraints, total operating revenue constraints, energy storage unit capacity revenue constraints and certified voluntary emission reduction sales revenue constraints.

4. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The environmental criteria include CO2 emission constraints, NO X Emission constraints, certified voluntary emission reduction purchase constraints, clean energy carbon emission reduction constraints, carbon neutrality rate constraints, and certified voluntary emission reduction sales constraints.

5. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The reliability criteria include power shortage time constraint, power shortage amount constraint, power shortage risk cost constraint, power supply reliability rate constraint, and energy supply rate constraint.

6. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The envelope analysis optimization model is expressed as: Among them, v m is the weight of the mth input indicator, u k is the weight of the kth output indicator, X jm is the value of the mth input indicator of evaluation object j, Y jk is the value of the kth output indicator of evaluation object j, M is the total number of input indicators, K is the total number of output indicators, and N is the set of evaluation objects.

7. A competitive evaluation method for a park integrated energy system according to claim 1, characterized in that: The dynamic scale model is expressed as: in, is the construction cost subsidy of the decision-making unit in period t, is the construction volume of decision-making units in period t, is the unit construction cost of the decision-making unit in period t, ε j is the cost proportion of the decision-making unit, is the proportion of construction cost of the decision-making unit.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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