Port comprehensive energy system evaluation method based on cloud model, medium and equipment

Abstract

The invention provides a port comprehensive energy system evaluation method based on a cloud model, a medium and equipment, and relates to the technical field of port comprehensive energy systems. A weight result obtained through a combined weighting method combining a subjective analytic hierarchy process and an objective entropy evaluation method reduces the influence of subjectivity and personal prejudice, the importance of each index is reasonably measured, and the overall level of an evaluation object can be reflected more accurately; according to the advantage of a cloud model in the aspect of analysis of uncertainty problems, in combination with the superiority of a game theory in the aspects of index weight distribution and evaluation, the cloud model and the game theory are subjected to coupling analysis according to the characteristics of fuzziness and variability of the evaluation level of the port integrated energy system, and the evaluation level of the port integrated energy system is evaluated. The method can better adapt to the dynamic change characteristics of the overall level of the port comprehensive energy system, improves the credibility of comprehensive evaluation, and can provide a new way for the overall analysis of the port comprehensive energy system.

Description

Technical Field

[0001] The present disclosure relates to the technical field of port integrated energy systems, and in particular to a port integrated energy system evaluation method, medium and equipment based on a cloud model. Background Art

[0002] In recent years, more and more ports around the world have begun to pay attention to and build integrated energy systems to improve energy efficiency and reduce environmental pollution, thereby promoting sustainable development and realizing green ports.

[0003] In order to construct and utilize the port integrated energy system economically and scientifically, it is necessary to establish an effective port integrated energy system evaluation system. At present, there have been many studies on the benefit evaluation of IES (Integrated Energy System) at home and abroad, but the IES benefit evaluation standards applied to ports are not perfect. The current port integrated energy system lacks targeted analysis standards and evaluation models, and the existing research indicator evaluation is not comprehensive and targeted enough. In addition, in the actual evaluation process, due to the uncertainty of the evaluation object, the evaluation information of qualitative indicators cannot be directly described in a quantitative way. This uncertainty is manifested as fuzziness and randomness. Existing studies have not fully considered the inherent properties of uncertainty when conducting comprehensive evaluations. Summary of the invention

[0004] The present disclosure provides a port integrated energy system evaluation method, medium and equipment based on a cloud model, which can reasonably measure the importance of each evaluation indicator, fully consider the uncertainty of the port integrated energy system evaluation level, and improve the credibility of the comprehensive evaluation.

[0005] According to a first aspect of the present disclosure, a port integrated energy system evaluation method based on a cloud model is provided, comprising: The analytic hierarchy process is used to subjectively weight each evaluation indicator in the comprehensive evaluation system, and the entropy weight method is used to objectively weight each evaluation indicator. Based on game theory, the results of subjective weighting and objective weighting are combined to obtain the combined weights of various evaluation indicators; wherein the comprehensive evaluation system includes five indicator sets: environmental protection, energy utilization level, equipment green level, economy and reliability, and each indicator set contains multiple evaluation indicators; Calculate the relative degradation degree of each evaluation indicator and map it to the score value of each evaluation indicator, and obtain the indicator cloud parameters of each evaluation indicator based on the score value; input the indicator cloud parameters into the forward cloud generator to generate the indicator cloud map, and compare it with the standard cloud map to obtain the evaluation level corresponding to each evaluation indicator; Based on the combined weights of the various evaluation indicators contained in each indicator set and the indicator cloud parameters, the comprehensive cloud parameters of each indicator set are calculated; the comprehensive cloud parameters are input into the forward cloud generator to generate a comprehensive cloud map, and compared with the standard cloud map to obtain the evaluation level corresponding to each indicator set; Based on the combined weights and comprehensive cloud parameters of each indicator set, the total comprehensive cloud parameters of the port comprehensive energy system are calculated; the total comprehensive cloud parameters are input into the forward cloud generator to generate a total comprehensive cloud map, and compared with the standard cloud map to obtain the corresponding evaluation level of the port comprehensive energy system; the combined weight of the indicator set is the sum of the combined weights of the various evaluation indicators contained therein; The standard cloud map is generated based on the preset upper and lower limits of the evaluation level.

[0006] In one embodiment, the method further comprises: Calculating the membership between the indicator cloud map and / or the comprehensive cloud map and / or the total comprehensive cloud map and each evaluation level by using a membership function; The evaluation level corresponding to the maximum membership degree is taken as the evaluation result.

[0007] In one embodiment, the environmental performance index set includes PM2.5 / PM10 emission index, CO emission index, CO2 emission index, SOx emission index, NO X Emission indicators, VOC emission indicators, noise indicators; The energy utilization level indicator set includes the new energy power generation proportion indicator B1, the unit energy consumption level indicator B2, and the energy saving rate indicator B3; ; In the formula Represents the annual power generation of the photovoltaic system, Represents the annual power generation of the wind turbine system, Represents the annual electricity consumption of the port area; ; In the formula represents the annual power generation of the port area's integrated energy system, It represents the annual container throughput of the port area; ; In the formula , , , , Represents the standard coal conversion factors for electricity, hydrogen, diesel, gasoline and LNG, respectively. , , , , Represents the unit calorific value of electricity, hydrogen, diesel, gasoline and LNG respectively. Represents the annual hydrogen production of the port's integrated energy system, , , Respectively represent the annual usage of diesel, gasoline and LNG in the port area; The equipment green level indicator set includes a hydrogen power equipment proportion indicator C1, an electric power equipment proportion indicator C2, and a shore power system configuration rate indicator C3; ; In the formula Indicates the number of hydrogen / electric power equipment in the port area, Represents the number of bridge cranes in the port area, Represents the number of gantry cranes in the port area, Represents the number of container trucks in the port area, Represents the number of reach stackers in the port area, Represents the number of forklifts in the port area, Represents the number of forklifts in the port area; ; In the formula Indicates the number of berths equipped with shore power systems, Indicates the total number of berths in the port; The economic index set includes the annual construction cost index D1 of the integrated energy system, the annual operation and maintenance cost index D2 of the integrated energy system, the annual benefit index D3 of the integrated energy system, the annual energy purchase cost index D4 of the port area, and the annual total environmental cost index D5 of the integrated energy system; ; In the formula represents the one-time cost of the integrated energy system, represents the equipment purchase and installation costs of the integrated energy system, represents the engineering cost of the integrated energy system, Represents the salary paid to employees involved in project construction. represents other construction costs; ; In the formula represents the annual maintenance cost of equipment in the integrated energy system, Represents the salary expenses paid to employees involved in maintenance. represents the cost of system monitoring, Indicates the cost of spare parts for the integrated energy system. Indicates other operation and maintenance expenses; ; In the formula Indicates the portion of the annual electricity generated by the integrated energy system that is used in the port area. Indicates the unit price of electricity purchase, It represents the sales portion of the annual power generation of the integrated energy system. Indicates the unit price of electricity sold, Indicates the unit price of hydrogen sold; ; In the formula Indicates the purchase amount of different energy sources in the port area, Indicates the unit prices corresponding to different energy sources in the port area; ; In the formula Indicates the emission of a pollutant. Indicates the pollution equivalent value of a pollutant. Indicates the pollution equivalent number of a certain pollutant; The reliability index set includes a usage satisfaction index E1 and a failure loss rate index E2; ; In the formula represents the total loss caused by failure of the port integrated energy system, It represents the annual gross product of the port area.

[0008] In one possible implementation, the step of calculating the combined weight of each evaluation index includes: The evaluation indicators are weighted using the analytic hierarchy process and entropy weight method, and the basic weight combination is obtained as follows: ; Where n is the number of evaluation indicators, k is the number of weighting methods; Perform random linear combinations on the weight vectors in the basic weight combinations: ;in, is the linear combination coefficient of the kth weight, is the kth weight vector The comprehensive weight vector of The linear combination coefficients are optimized by the following formula to minimize the deviation between each group of weights, thereby obtaining the optimal combination weights: ; Get the optimized , and normalize it to get ; The combined weight is: .

[0009] In one possible implementation, the evaluation grades include excellent, good, average, poor, and extremely poor; a standard cloud map of two grades of excellent and extremely poor is generated in the form of a half cloud, and a standard cloud map of three grades of good, average, and poor is generated in the form of a complete normal cloud; the steps of generating the standard cloud map include: Convert the upper and lower limits of each evaluation level into three numerical features of the cloud model ; The calculation formula is: ; Where: and They are the corresponding upper and lower limits of the evaluation level respectively; is a constant; For the two evaluation levels of excellent and very poor, Take 1 and 0 respectively, ; The digital features corresponding to each evaluation level are input into the cloud generator to obtain the standard cloud map of the port integrated energy system.

[0010] In one possible implementation, the relative degradation degree ranges from [0, 1]; wherein, when the relative degradation degree is 0, the indicator performance is the best; and when the relative degradation degree is 1, the indicator performance is the worst; the step of calculating the relative degradation degree of each evaluation indicator and mapping it to a score value of each evaluation indicator, and obtaining the indicator cloud parameter of each evaluation indicator based on the score value includes: Calculating the relative degradation degree of each evaluation index, wherein the evaluation index includes a larger-is-better index and a smaller-is-better index; Among them, the calculation formula for the relative degradation degree of the larger the better type index is: ; The calculation formula for the relative degradation degree of the smaller the better type index is: ; Where: Actual data for evaluation indicators; is the lower limit of the evaluation index; is the upper limit of the evaluation index; The relative degradation is mapped to a score value using the following formula: ; In the formula, The upper limit of the score value; According to the score value, the indicator cloud parameters are calculated using the following formula: ; In the formula, n is the number of data groups, is the score value of group i.

[0011] In one possible implementation, the calculation formula for calculating the comprehensive cloud parameters of each indicator set based on the combined weights of the evaluation indicators contained in each indicator set and the indicator cloud parameters is: ; In the formula, is the combined weight of each evaluation index, m is the number of evaluation indexes, is the index cloud parameter of each evaluation index, It is the comprehensive cloud parameter of each indicator set.

[0012] In one possible implementation, the calculation formula for calculating the total comprehensive cloud parameters of the port integrated energy system based on the combined weights of each indicator set and the comprehensive cloud parameters is: ; In the formula, is the combined weight of each indicator set, which is equal to the sum of the combined weights of each evaluation indicator contained in it; is the comprehensive cloud parameter for each indicator set; It is the total comprehensive cloud parameter of the port integrated energy system.

[0013] According to a second aspect of the present disclosure, there is provided an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the cloud model-based port integrated energy system evaluation method described in the present disclosure.

[0014] According to a third aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the cloud model-based port integrated energy system evaluation method described in the present disclosure.

[0015] The present invention discloses a port integrated energy system evaluation method, medium and equipment based on a cloud model. The weight result obtained by the combined weighting method combining the subjective analytic hierarchy process and the objective entropy value method reduces the influence of subjectivity and personal bias, reasonably measures the importance of each indicator, and can more accurately reflect the overall level of the evaluation object. According to the advantages of the cloud model in analyzing uncertainty problems, combined with the superiority of game theory in indicator weight allocation and evaluation, the cloud model and game theory are coupled for analysis in view of the fuzziness and variability of the evaluation level of the port integrated energy system, which can better adapt to the dynamic changes in the overall level of the port integrated energy system, improve the credibility of the comprehensive evaluation, and provide a new way for the overall analysis of the port integrated energy system.

[0016] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present disclosure are shown in an exemplary and non-limiting manner, in which: In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0018] Figure 1 A flow chart of a port integrated energy system evaluation method based on a cloud model provided in the first embodiment of the present disclosure is shown; Figure 2 A schematic diagram of a standard cloud map provided in the first embodiment of the present disclosure is shown; Figure 3a A schematic diagram showing cloud diagrams of various environmental indicators provided in the first embodiment of the present disclosure is shown; Figure 3a Part (a) represents the PM2.5 / PM10 emission index cloud chart of the port integrated energy system of the first embodiment; Figure 3a Part (b) represents the CO emission index cloud diagram of the port integrated energy system of the first embodiment; Figure 3a Part (c) represents the CO2 emission index cloud chart of the port integrated energy system of the first embodiment; Figure 3a Part (d) represents the SO of the port integrated energy system of the first embodiment X Emissions indicator cloud map; Figure 3a Part (e) represents the NO of the port integrated energy system of the first embodiment. X Emissions indicator cloud map; Figure 3a Part (f) represents the VOC emission index cloud diagram of the port integrated energy system of the first embodiment; Figure 3a Part (g) represents the noise index cloud diagram of the port integrated energy system of the first embodiment; Figure 3b A schematic diagram showing cloud diagrams of various indicators of energy utilization levels provided in the first embodiment of the present disclosure is shown; Figure 3b Part (h) represents a cloud chart of the proportion of new energy power generation in the port comprehensive energy system of the first embodiment; Figure 3b Part (i) represents a cloud diagram of unit energy consumption level indicators of the port integrated energy system of the first embodiment; Figure 3b Part (j) represents the energy saving rate index cloud diagram of the port integrated energy system of the first embodiment; Figure 3c A schematic diagram showing cloud diagrams of various indicators of the green level of equipment provided in the first embodiment of the present disclosure is shown; Figure 3c Part (k) represents a cloud chart of the proportion of hydrogen power equipment in the port comprehensive energy system of the first embodiment; Figure 3c Part (l) represents a cloud chart of the proportion of electric power equipment in the port comprehensive energy system of the first embodiment; Figure 3c The (m) part represents the cloud diagram of the shore power system configuration rate index of the port integrated energy system of the first embodiment; Figure 3d A schematic diagram showing cloud diagrams of economic indicators provided in the first embodiment of the present disclosure is shown; Figure 3d The (n) part represents the cloud chart of annual construction cost indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3d Part (o) represents the cloud chart of annual operation and maintenance cost indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3d Part (p) represents the cloud diagram of annual benefit indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3d Part (q) represents the annual energy purchase cost index cloud diagram of the port integrated energy system of the first embodiment; Figure 3d The (r) part represents the cloud diagram of annual environmental cost indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3e A schematic diagram showing cloud diagrams of various reliability indicators provided in the first embodiment of the present disclosure is shown; Figure 3e The (s) part represents the cloud diagram of the user satisfaction index of the port integrated energy system of the first embodiment; Figure 3e The (t) part represents the failure loss rate index cloud diagram of the port integrated energy system of the first embodiment; Figure 4 A schematic diagram of a comprehensive cloud map of each criterion layer provided in the first embodiment of the present disclosure is shown; Figure 4 Part (a) represents a comprehensive cloud diagram of the environmental protection criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (b) represents a comprehensive cloud diagram of the energy utilization level criterion layer of the port integrated energy system of the first embodiment; Figure 4Part (c) represents a comprehensive cloud diagram of the equipment greening level criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (d) represents a comprehensive cloud diagram of the economic criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (e) represents a comprehensive cloud diagram of the reliability criterion layer of the port integrated energy system of the first embodiment; Figure 5 A schematic diagram of a total integrated cloud map of a port integrated energy system provided by the first embodiment of the present disclosure is shown; Figure 6 A schematic diagram showing a sensitivity analysis result provided by the first embodiment of the present disclosure is shown; Figure 7 A schematic diagram of the structure of an electronic device provided in Embodiment 2 of the present disclosure is shown. DETAILED DESCRIPTION

[0019] In order to make the purpose, features, and advantages of the present disclosure more obvious and easy to understand, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0020] In order to solve the above problems existing in the prior art, the embodiments of the present disclosure provide a port comprehensive energy system evaluation method, medium and device based on a cloud model, which are described in detail below.

[0021] Embodiment 1: like Figure 1 As shown, Figure 1 A flowchart of a port integrated energy system evaluation method based on a cloud model is provided in the first embodiment of the present disclosure. The method includes: The analytic hierarchy process is used to subjectively weight each evaluation indicator in the comprehensive evaluation system, and the entropy weight method is used to objectively weight each evaluation indicator. Based on game theory, the results of subjective weighting and objective weighting are combined to obtain the combined weights of various evaluation indicators. Among them, the comprehensive evaluation system includes five indicator sets: environmental protection, energy utilization level, equipment green level, economy and reliability, and each indicator set contains multiple evaluation indicators.

[0022] A comprehensive evaluation system is constructed, which covers five aspects: environmental protection, energy utilization level, equipment green level, economy and reliability. The system contains a total of 20 evaluation indicators.

[0023] As shown in Table 1, Table 1 is a comprehensive evaluation system of a port integrated energy system provided in Example 1 of the present disclosure.

[0024] Table 1 Evaluation index system of port comprehensive energy system

[0025] In the port integrated energy system, environmental protection is a core evaluation index set, which can directly reflect the impact of the port integrated energy system on the environment during operation. The noise index is measured by noise monitoring devices on the port office buildings and surrounding residential areas, and the annual average value is taken.

[0026] The energy utilization level indicator set includes the new energy power generation proportion indicator B1, the unit energy consumption level indicator B2, and the energy saving rate indicator B3.

[0027] The proportion of renewable energy power generation indicator B1 refers to the proportion of renewable energy power generation in the port area's comprehensive energy system to the total power consumption of the port area. The calculation method is as follows: ; In the formula Represents the annual power generation of the photovoltaic system, Represents the annual power generation of the wind turbine system, Represents the annual electricity consumption of the port area. The specific power generation data of the integrated energy system comes from the monitoring software of the integrated energy system.

[0028] The unit energy consumption level indicator B2 refers to the non-clean electricity consumed per unit standard container. It helps to understand the efficiency of the port area in the use of electricity and the contribution of the self-generation system to reducing the power consumption of the power grid. The calculation method is as follows: ; In the formula represents the annual power generation of the port area's integrated energy system, Indicates the annual container throughput of the port area.

[0029] Energy saving rate index B3 refers to the ratio of the reduced old energy consumption of the port to the total energy consumption in a certain period of time, which reflects the degree of energy saving in production activities. The calculation method is as follows: ; In the formula , , , , Represents the standard coal conversion factors for electricity, hydrogen, diesel, gasoline and LNG, respectively. , , , , Represents the unit calorific value of electricity, hydrogen, diesel, gasoline and LNG (Liquefied Natural Gas). Represents the annual hydrogen production of the port's integrated energy system, , , Respectively represent the annual usage of diesel, gasoline and LNG in the port area.

[0030] The equipment greening level indicator set includes the hydrogen-powered equipment proportion index C1, the electric-powered equipment proportion index C2, and the shore power system equipment rate index C3.

[0031] The proportion of hydrogen / electric power equipment refers to the proportion of hydrogen / electric power equipment in the mechanical equipment of the entire port area. The calculation method is as follows: ; In the formula Indicates the number of hydrogen / electric power equipment in the port area, Represents the number of bridge cranes in the port area, Represents the number of gantry cranes in the port area, Represents the number of container trucks in the port area, Represents the number of reach stackers in the port area, Represents the number of forklifts in the port area, Represents the number of forklifts in the port area. This formula contains two formulas, corresponding to the hydrogen power equipment proportion index C1 and the electric power equipment proportion index C2.

[0032] The shore power system configuration rate index C3 refers to the ratio of the number of berths equipped with shore power facilities to the total number of berths. The calculation method is as follows: ; In the formula Indicates the number of berths equipped with shore power systems, Indicates the total number of berths in the port.

[0033] The economic indicator set includes the annual construction cost index D1 of the integrated energy system, the annual operation and maintenance cost index D2 of the integrated energy system, the annual benefit index D3 of the integrated energy system, the annual energy purchase cost index D4 of the port area, and the annual total environmental cost index D5 of the integrated energy system.

[0034] The annual construction cost index D1 of the integrated energy system refers to the investment and related expenses of building the integrated energy system of the port area in that year. The calculation formula is as follows: ; In the formula represents the one-time costs of the integrated energy system (land acquisition, etc.), represents the equipment purchase and installation costs of the integrated energy system, represents the engineering costs of the integrated energy system (system design, project management, etc.), Indicates the wages and other expenses paid to employees involved in the project construction. represents other construction costs (insurance and legal fees, research and development costs, etc.).

[0035] The annual operation and maintenance cost indicator D2 of the comprehensive energy system refers to all the costs required to maintain the normal operation of the system in that year. The calculation formula is as follows: ; In the formula represents the annual maintenance cost of equipment in the integrated energy system, Represents the salary expenses paid to employees involved in maintenance. represents the cost of system monitoring, Indicates the cost of spare parts for the integrated energy system. Represents other operation and maintenance costs (insurance costs, administrative costs, etc.).

[0036] The annual benefit index D3 of the integrated energy system refers to the economic benefits that the integrated energy system brings to the port area by optimizing energy production and use and selling surplus energy every year. The calculation formula is as follows: ; In the formula Indicates the portion of the annual electricity generated by the integrated energy system that is used in the port area. Indicates the unit price of electricity purchase, It represents the sales portion of the annual power generation of the integrated energy system. Indicates the unit price of electricity sold, Indicates the unit price of hydrogen.

[0037] The port area's annual energy purchase cost indicator D4 refers to the total cost of various energy purchased by the port area in that year. The calculation formula is as follows: ; In the formula Indicates the purchase amount of different energy sources (electricity, diesel, gasoline, LNG, etc.) in the port area. Indicates the unit prices of different energy sources (electricity, diesel, gasoline, LNG, etc.) in the port area.

[0038] The annual total environmental cost index D5 of the integrated energy system refers to the economic cost caused by the impact of the integrated energy system on the environment during operation in that year. The embodiment of this disclosure adopts the pollution equivalent method for calculation. By calculating the pollutant equivalent value, the environmental damage caused to the enterprise in production and operation is determined. The calculation formula is as follows: ; In the formula Indicates the emission of a pollutant. Indicates the pollution equivalent value of a pollutant. Indicates the pollution equivalent number of a certain pollutant. This formula takes the top 3 pollutants in terms of annual pollution equivalent number for calculation.

[0039] The reliability index set includes the usage satisfaction index E1 and the failure loss rate index E2.

[0040] Usage satisfaction E1 is a key indicator to measure the user experience of the port area's integrated energy system. It reflects the user's overall satisfaction with the reliability, cost-effectiveness, environmental impact and convenience of energy supply.

[0041] The failure loss rate E2 refers to the ratio of the loss caused by equipment or system failure to the annual output value of the port area within a certain period of time. The calculation formula is as follows: ; In the formula represents the total loss caused by failure of the port integrated energy system, It represents the annual gross product of the port area.

[0042] The analytic hierarchy process is a decision analysis method that quantifies the importance of each factor by establishing a hierarchical model and pairwise comparison to assist the decision-making process of complex problems. The entropy weight method is an objective weighting method that determines the weight by calculating the entropy value of each evaluation indicator, reflecting the degree of discreteness of the indicator, thereby evaluating the importance of the indicator in the evaluation system. After using the analytic hierarchy process and the entropy weight method to perform subjective and objective weighting respectively, the results of the subjective and objective weighting are combined again according to game theory, which can to a certain extent solve the problem that the calculation results of the indicator weights are too subjective or objective. The core idea of ​​this theory is to find a balance point between the weights determined by different weighting methods, while ensuring consistency, so that the deviation between the combined weights of each indicator and the basic weights under various weighting methods is minimized. The implementation steps are as follows: The evaluation indicators are weighted using the analytic hierarchy process and entropy weight method, and the basic weight combination is obtained as follows: ; Where n is the number of evaluation indicators, k is the number of weighting methods; Make random linear combinations of the weight vectors in the basic weight combination: ;in, is the linear combination coefficient of the kth weight, is the kth weight vector The comprehensive weight vector of According to the collaborative goal of Nash equilibrium, the linear combination coefficients are optimized by the following formula to minimize the deviation between each group of weights, thereby obtaining the optimal combination weights: ; According to the differential properties of the matrix, the optimal first-order derivative condition of the above formula can be obtained, thus obtaining , and normalize it to get ; Finally, the combined weight is: .

[0043] According to the above method, the subjective weight obtained by the hierarchical analysis method is combined with the objective weight obtained by the entropy weight method to obtain the weight result of the combined weighting, as shown in Table 2.

[0044] Table 2 Weights obtained by combining weights

[0045] The relative degradation degree of each evaluation indicator is calculated and mapped to the score value of each evaluation indicator. The indicator cloud parameters of each evaluation indicator are obtained based on the score value. The indicator cloud parameters are input into the forward cloud generator to generate the indicator cloud map, and compared with the standard cloud map to obtain the evaluation level corresponding to each evaluation indicator.

[0046] The cloud model is a mathematical model used to deal with uncertainty problems, proposed by Chinese scholar Professor Li Deyi in 1995. It is mainly used to simulate and process fuzzy concepts, uncertainty and incomplete information.

[0047] First, the standard cloud chart is generated based on the pre-set upper and lower limits of the evaluation level.

[0048] The embodiment of the present disclosure divides the evaluation level of the port comprehensive energy system into five levels, namely, the evaluation level . Traditional grading intervals often use the equal division method or the golden section method, which cannot well reflect the actual proportion of each evaluation indicator in these levels. For the port integrated energy system, it also has interval boundaries that conform to its own characteristics. According to the characteristics of the port integrated energy system itself, the grade intervals in the evaluation set are determined, and the result intervals are simply processed to determine the upper and lower limits of each level (ranging from 0 to 1), so as to obtain an evaluation grade division interval that is more suitable for the port integrated energy system. The division results are shown in Table 3.

[0049] Table 3 Evaluation results of port integrated energy system

[0050] The standard cloud can be a complete cloud or a half cloud. The probability that the evaluation results of the port integrated energy system are in the excellent and extremely poor levels is relatively low. The standard cloud in the form of a half cloud can better show the distribution of excellent and extremely poor data. Therefore, cloud maps of the excellent and extremely poor levels are generated in the form of a half cloud, and complete normal cloud maps are generated normally for the remaining levels. There is a fixed boundary on one side of the excellent and extremely poor levels (single-sided delimitation), while good, general, and poor have no clear boundaries than the initial ones. The range on both sides is given by scoring (double-sided delimitation), where the values ​​on both sides are the upper and lower limits of the evaluation level.

[0051] Assume that the evaluation result of a quantitative indicator is ,and , assuming that the original evaluation level of this indicator in this interval is "good", now the indicator value needs to be standardized and converted to the standard interval Internal value Indicates that , and ensure that the evaluation level is still "good", the conversion method is as follows: ; The upper and lower limits of each evaluation level can be converted into three digital features of the cloud model through calculation. Assuming that the upper and lower limits of the bilaterally bounded evaluation level are , then converted into digital features The calculation formula is: ; Where: and They are the corresponding extreme values ​​of the two end boundaries in the comprehensive cloud model indicator level; is a constant, which is determined by actual application. In the embodiment of the present disclosure, 0.005 is taken, and the same is true in the following.

[0052] For the two evaluation levels of excellent and very poor, Take 1 and 0 respectively, , then the digital characteristics of each level are shown in Table 4 below: Table 4 Numerical characteristics of cloud models at different evaluation levels

[0053] Bring each digital feature into the cloud generator and solve the standard cloud model for port integrated energy system evaluation as follows: Figure 2 As shown, Figure 2 A schematic diagram of a standard cloud map provided in Example 1 of the present disclosure.

[0054] Using relative degradation to obtain cloud model parameters of evaluation indicators can avoid overly subjective overall evaluation due to reliance on expert ratings to obtain indicator scores. Relative degradation is an indicator status feedback based on actual feedback data. It is a better method for generating evaluation indicator clouds by inferring the position of the indicator under the standard cloud through the indicator degradation feedback from its feedback data. The relative degradation represents the degree of degradation of the indicator, and its range is [0,1]. When the relative degradation is 0, it represents the best performance of the indicator, which is mapped to an excellent evaluation level; when the relative degradation is 1, it represents the worst performance of the indicator, which is mapped to an extremely poor evaluation level. The specific steps are as follows: The relative degradation degree of each evaluation index is calculated, wherein the evaluation index includes a larger-is-better type index and a smaller-is-better type index.

[0055] Among them, the calculation formula for the relative degradation degree of the larger the better type index is: ; The calculation formula for the relative degradation degree of the smaller the better type index is: ; Where: Actual data for evaluation indicators; is the lower limit of the evaluation index; The upper limit of the evaluation index.

[0056] The relative degradation value is inversely proportional to the comprehensive evaluation score value in the standard cloud model. In order to facilitate the identification and evaluation of the overall evaluation level and adapt the scoring range, the relative degradation needs to be further mapped into the evaluation level score. The lower the relative degradation value, the better the indicator and the higher the score; the higher the relative degradation value, the worse the indicator and the lower the score. Use the following formula to map the relative degradation to the score value: ; In the formula, The upper limit of the score value; Assuming that there are n sets of data for a certain evaluation indicator, the corresponding relative degradation degree can be obtained by calculation and then mapped into a score value. According to the score value, the indicator cloud parameter, i.e., the digital feature, is calculated using the following formula: : ; In the formula, n is the number of data groups, is the score value of group i.

[0057] The obtained digital features are brought into the forward cloud generator to generate an indicator cloud map, and compared with the standard cloud map, the evaluation level of the indicator mapped to the relative degradation degree based on data feedback can be qualitatively obtained.

[0058] like Figure 3aAs shown, Figure 3a This is a schematic diagram of a cloud chart of various environmental indicators provided in Example 1 of the present disclosure. Figure 3a Part (a) represents the PM2.5 / PM10 emission index cloud chart of the port integrated energy system of the first embodiment; Figure 3a Part (b) represents the CO emission index cloud diagram of the port integrated energy system of the first embodiment; Figure 3a Part (c) represents the CO2 emission index cloud chart of the port integrated energy system of the first embodiment; Figure 3a Part (d) represents the SO of the port integrated energy system of the first embodiment X Emissions indicator cloud map; Figure 3a Part (e) represents the NO of the port integrated energy system of the first embodiment. X Emissions indicator cloud map; Figure 3a Part (f) represents the VOC emission index cloud diagram of the port integrated energy system of the first embodiment; Figure 3a Part (g) represents the noise index cloud diagram of the port integrated energy system of the first embodiment.

[0059] like Figure 3b As shown, Figure 3b This is a schematic diagram of the cloud charts of various indicators of energy utilization level provided in Example 1 of the present disclosure. Figure 3b Part (h) represents a cloud chart of the proportion of new energy power generation in the port comprehensive energy system of the first embodiment; Figure 3b Part (i) represents a cloud diagram of unit energy consumption level indicators of the port integrated energy system of the first embodiment; Figure 3b Part (j) represents the energy saving rate indicator cloud diagram of the port integrated energy system of the first embodiment.

[0060] like Figure 3c As shown, Figure 3c This is a schematic diagram of cloud charts of various indicators of the green level of equipment provided in Example 1 of the present disclosure. Figure 3c Part (k) represents a cloud chart of the proportion of hydrogen power equipment in the port comprehensive energy system of the first embodiment; Figure 3c Part (l) represents a cloud chart of the proportion of electric power equipment in the port comprehensive energy system of the first embodiment; Figure 3c The (m) portion represents a cloud diagram of the shore power system configuration rate index of the port integrated energy system of the first embodiment.

[0061] like Figure 3d As shown, Figure 3d This is a schematic diagram of the cloud chart of various economic indicators provided in Example 1 of the present disclosure. Figure 3d The (n) part represents the cloud chart of annual construction cost indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3dPart (o) represents the cloud chart of annual operation and maintenance cost indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3d Part (p) represents the cloud diagram of annual benefit indicators of the multi-energy system of the port integrated energy system of the first embodiment; Figure 3d Part (q) represents the annual energy purchase cost index cloud chart of the port integrated energy system of the first embodiment; Figure 3d The (r) portion represents a cloud diagram of annual environmental cost indicators of the multi-energy system of the port integrated energy system of the first embodiment.

[0062] like Figure 3e As shown, Figure 3e This is a schematic diagram of the cloud diagram of various reliability indicators provided in Example 1 of the present disclosure. Figure 3e The (s) part represents the cloud diagram of the user satisfaction index of the port integrated energy system of the first embodiment; Figure 3e The (t) part represents the failure loss rate indicator cloud diagram of the port integrated energy system of the first embodiment.

[0063] from Figure 3a-3e It can be seen that with the gradual construction of the port's comprehensive energy system, the evaluation of multiple indicators of the entire port's energy system shows a trend of shifting to the right; some cloud maps are thicker, indicating that the data is relatively discrete and has strong uncertainty.

[0064] Based on the combined weights of the various evaluation indicators contained in each indicator set and the indicator cloud parameters, the comprehensive cloud parameters of each indicator set are calculated; the comprehensive cloud parameters are input into the forward cloud generator to generate a comprehensive cloud map, and compared with the standard cloud map to obtain the evaluation level corresponding to each indicator set. The calculation formula is: ; In the formula, is the combined weight of each evaluation index, m is the number of evaluation indexes, is the index cloud parameter of each evaluation index, It is the comprehensive cloud parameter of each indicator set.

[0065] The comprehensive cloud is obtained by calculating the weights and parameters of each index cloud. The comprehensive cloud is a virtual cloud, which is a new cloud obtained by calculating the digital features of each basic cloud.

[0066] After obtaining the three digital features of the comprehensive cloud, a comprehensive cloud map of each indicator set (i.e., criterion layer) can be generated according to the parameters. By placing the generated cloud map in the standard cloud map for comparison, the evaluation level of each criterion layer can be intuitively seen.

[0067] like Figure 4 As shown, Figure 4 A schematic diagram of a comprehensive cloud map of each criterion layer provided in Example 1 of the present disclosure. Figure 4Part (a) represents a comprehensive cloud diagram of the environmental protection criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (b) represents a comprehensive cloud diagram of the energy utilization level criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (c) represents a comprehensive cloud diagram of the equipment greening level criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (d) represents a comprehensive cloud diagram of the economic criterion layer of the port integrated energy system of the first embodiment; Figure 4 Part (e) represents the comprehensive cloud diagram of the reliability criterion layer of the port integrated energy system of the first embodiment.

[0068] The comprehensive cloud of the criterion layer shows the changing trend of the evaluation level of various aspects of the port integrated energy system over time. The changes shown in the figure are divided into two categories, namely gradually getting better over time and fluctuating over time. Among them, the evaluation level of the environmental protection comprehensive cloud shows an obvious trend from poor to excellent, which is consistent with the result that the completion of the integrated energy system has significantly reduced the exhaust gas emissions of the entire port; in terms of energy utilization level, because new energy accounts for an increasing proportion in the energy structure of the port area, the evaluation level has also significantly improved; the level of equipment greening has not changed much, which is consistent with the gradual promotion of equipment greening in the port area; the economic comprehensive cloud map is relatively concentrated, indicating that the evaluation level has changed little, because the investment in the construction and maintenance of the port integrated energy system is large, but the overall trend is getting better; the reliability comprehensive cloud map shows a trend of getting worse first and then getting better, which is because there is a certain failure rate in the operation of the port integrated energy system. The failure rate will inevitably increase when new facilities and equipment are introduced, but with the gradual construction and improvement of the system, the entire port integrated energy system has gradually stabilized.

[0069] Based on the combined weights and comprehensive cloud parameters of each indicator set, the total comprehensive cloud parameters of the port comprehensive energy system are calculated; the total comprehensive cloud parameters are input into the forward cloud generator to generate a total comprehensive cloud map, and compared with the standard cloud map to obtain the corresponding evaluation level of the port comprehensive energy system; the combined weight of the indicator set is the sum of the combined weights of the various evaluation indicators it contains. The calculation formula is: ; In the formula, is the combined weight of each indicator set, which is equal to the sum of the combined weights of each evaluation indicator contained in it; is the comprehensive cloud parameter for each indicator set; It is the total comprehensive cloud parameter of the port integrated energy system.

[0070] like Figure 5 As shown, Figure 5A schematic diagram of a total integrated cloud map of a port integrated energy system provided in the first embodiment of the present disclosure. It can be qualitatively seen from the integrated cloud map of the port integrated energy system that the first four years of the construction of the port integrated energy system were between poor and average. After the port integrated energy system was built, starting from the fifth year, the entire system was between good and excellent, meeting the expectations before construction.

[0071] The information obtained simply from the image is only at the qualitative stage and cannot be well compared quantitatively. For some cloud maps that are located in the middle of two levels and are difficult to distinguish, it is difficult to determine their evaluation level by directly looking at the image. In addition, for two relatively similar cloud maps, it is not easy to judge which one is better. Therefore, quantitative indicators can be used to solve such problems. The membership degree of the cloud map is used to represent it in the embodiment of the present disclosure.

[0072] For example, for a cloud image near the middle of two levels, its numerical features are known .

[0073] Generate an expectation of , the variance is Normal random numbers ; Generate an expectation of , the variance is Normal random numbers ; Calculate membership : ; Since the cloud model membership is a random variable, in order to increase the confidence of the results, it is necessary to repeat the forward cloud generator N times to calculate the membership The cloud models with five evaluation levels, namely, extremely poor, poor, fair, good, and excellent, were simulated 2000 times respectively, and the calculation results are shown in Table 5 below.

[0074] Table 5 Cloud model simulation results

[0075] According to the principle of maximum membership, the final evaluation levels of the port area comprehensive energy system in each year can be obtained as shown in Table 6: Table 6 Evaluation levels of the port area's integrated energy system over the years

[0076] By solving the cloud map membership, we can clearly see the evaluation level of the object being solved from a numerical point of view, and take the evaluation level corresponding to the maximum membership as the evaluation result. For a specific first-level indicator, solving the cloud map membership can obtain the evaluation level of the indicator. For the entire port integrated energy system, the solved cloud map membership can obtain the overall level of the port integrated energy system.

[0077] Combination Figure 5 From the analysis of Table 6, we can draw the following conclusions: The evaluation result in 2018 was average, because the port area had not yet built an integrated energy system. The port area's environmental protection and energy utilization levels were very poor, and the emissions of various greenhouse gases were relatively high. At the same time, there was no use of new energy in the port area, so the unit energy consumption level was also relatively high. In terms of the green equipment level, the port area's shore power system was equipped at a low rate, the shore power access rate of ships at the port was also relatively low, and the shore power usage was relatively low. In terms of economic efficiency, the integrated energy system had not yet started to be developed, so the economic efficiency was relatively excellent.

[0078] The evaluation results in 2019 were generally poor. Although the photovoltaic system was built that year, the annual power generation of the photovoltaic system was limited, and the cost savings were not much. There was still no use of clean energy that year, and the environmental protection of the integrated energy system did not change much. The port area's shore power configuration rate has been greatly improved, and the cost of the integrated energy system has also increased. At the same time, the introduction of new equipment has led to a decrease in the reliability of the integrated energy system, so the comprehensive evaluation results have decreased instead of increased.

[0079] In mid-2020, wind turbines and energy storage devices were completed and put into use, and the shore power supply ratio reached a relatively high level, which improved the energy efficiency of ships at the port. The annual power generation of wind turbines is dozens of times that of photovoltaics, and the effect is very significant. The integrated energy system not only brings considerable economic benefits to the port area, but also reduces the emission of pollutants such as CO2. However, the high cost of introducing new equipment and the reduced reliability of the integrated energy system have affected the comprehensive evaluation results this year, which are not much improved compared with 2019.

[0080] The evaluation results for 2021 are still average. Although photovoltaic and wind turbines were put into use throughout the year, and electric / hydrogen-powered container trucks and hydrogen production systems were also put into use in the second half of the year, significantly reducing the emissions of various greenhouse gases and greatly reducing the unit energy consumption level, the construction and operation and maintenance costs of the integrated energy system throughout the year were too high, which affected the evaluation results of the year.

[0081] In 2022, the port's integrated energy system was fully put into operation, and the port's environmental protection reached a good level. Although the port's cargo throughput has increased year by year, the unit energy consumption level has been successfully maintained at a low level. Due to the certain failure rate of the integrated energy system in 2022 and the low reliability, the evaluation level failed to reach excellent.

[0082] The evaluation results for 2023 were excellent. The integrated energy system of the port area has been running smoothly throughout the year, and both the emissions of various greenhouse gases and the cost of the entire integrated energy system have reached a very low level. The benefits brought by the integrated energy system of the port area are significant.

[0083] According to statistical analysis, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and FSE (Fuzzy Synthetic Evaluation) are the most commonly used multi-criteria decision-making methods. Therefore, these two commonly used methods are used to recalculate and compare with the evaluation method provided in the embodiment of the present disclosure. Table 7 shows the calculation results of the three methods.

[0084] Table 7 Evaluation results of TOPSIS, FSE and cloud models

[0085] Under these three methods, the evaluation results for 2018 / 2019 are not ideal. Compared with the results obtained by TOPSIS, the ranking results for the first three years of building an integrated energy system are slightly different. The results of the FSE method show that they are similar to the results obtained by the cloud model. This shows that considering the combination of subjective and objective factors will affect the final evaluation results.

[0086] The disclosed embodiment provides a weight-based evaluation method, which requires a sensitivity analysis of the evaluation index weights to test the stability and robustness of the evaluation model. This paper uses OAT (One At A Time) to perform a sensitivity analysis on the weights of key indicators. OAT is an experimental design method that is mainly used to evaluate the impact of a single factor on a system or process. This method observes the impact of a factor on the system output by changing one factor one by one while keeping other factors unchanged. The weight values ​​of specific indicators are adjusted one by one, while keeping the relative proportions of the weights of other indicators unchanged, to reflect the changing laws and trends of the overall evaluation of the integrated energy system when the weights of specific indicators change, and then evaluate the impact of the uncertainty of each indicator on the research results.

[0087] In the sensitivity analysis, it is necessary to determine the appropriate RPC (Range of Percent Change) and IPC (Increment of Percent Change) to keep all weights fixed and feasible. RPC represents a finite set of percentages of the original indicator weight change range, while IPC represents the percentage amplitude of each change in the indicator weight within a fixed range. Let the RPC value be ±30% and the IPC value be ±10%, and the weights of 20 evaluation indicators are adjusted for analysis. A total of 120 tests were conducted to complete this sensitivity analysis. The purpose of the test is to see if the weight change will significantly affect the results. With this treatment, the fluctuation of the results and the sensitivity of each scheme under the performance criteria can be clearly seen.

[0088] like Figure 6 As shown, Figure 6 A schematic diagram of a sensitivity analysis result provided by an embodiment of the present disclosure. The changes in the comprehensive evaluation score caused by the changes in various indicators are monotonically changed with 0 as the center. The longer the value of the horizontal axis, the stronger the sensitivity of the indicator to the evaluation of the port comprehensive energy system. Figure 6 It can be seen that the two most sensitive factors are failure loss and annual operation and maintenance cost. The sensitivity of the proportion of hydrogen-powered equipment and electric-powered equipment is also quite obvious. However, the overall results do not change much.

[0089] Through the sensitivity analysis of the indicator weights, it can be seen that the weights determined by the subjective and objective weighting method are reasonable and effective, and can objectively reflect the overall status of the port's integrated energy system, fully verifying the rationality and reliability of the entire evaluation model.

[0090] The embodiment of the present disclosure provides a port integrated energy system evaluation method based on a cloud model. The data of the six-year span before and after the construction of the entire integrated energy system of the port area are analyzed, and the conclusions are as follows: (1) Considering the environmental protection, energy utilization level, equipment greening level, economy and reliability of the entire integrated energy system of the port area, a comprehensive evaluation system including 20 specific indicators such as CO2 emissions, proportion of new energy power generation, unit energy consumption level, proportion of electric power equipment, shore power system equipment rate, integrated energy system operation and maintenance cost and failure loss rate was constructed. This system can comprehensively reflect the level of various aspects of the integrated energy system of the port area. Through this comprehensive evaluation system, port managers can analyze the energy operation benefits of the port, optimize energy consumption strategies, and improve the reliability and safety of the energy supply of the port. At the same time, this indicator system also provides a scientific basis for the planning, design and operation of the port integrated energy system. Therefore, the comprehensive evaluation system of the port integrated energy system has important practical application value.

[0091] (2) The weight result obtained by the combined weighting method of the subjective analytic hierarchy process and the objective entropy method reduces the influence of subjectivity and personal bias, reasonably measures the importance of each indicator, and can more accurately reflect the overall level of the evaluation object.

[0092] (3) Based on the advantages of the cloud model in analyzing uncertainty problems, combined with the superiority of game theory in indicator weight allocation and evaluation, the cloud model and game theory are coupled for analysis in view of the fuzziness and variability of the evaluation level of the port comprehensive energy system. This can better adapt to the dynamic changes in the overall level of the port comprehensive energy system, improve the credibility of the comprehensive evaluation, and provide a new way for the overall analysis of the port comprehensive energy system. It can provide a certain reference for other port areas to build a port comprehensive energy system.

[0093] Embodiment 2: According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0094] Figure 7 A schematic block diagram of an example electronic device 700 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable 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 present disclosure described and / or required herein.

[0095] like Figure 7 As shown, the device 700 includes a computing unit 701, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0096] A number of components in the device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0097] The computing unit 701 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 701 performs the various methods and processes described above, such as a port integrated energy system evaluation method based on a cloud model. For example, in some embodiments, the port integrated energy system evaluation method based on a cloud model may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the port integrated energy system evaluation method based on the cloud model described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to execute the cloud model-based port integrated energy system evaluation method in any other appropriate manner (eg, by means of firmware).

[0098] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0099] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0100] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer 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 foregoing.

[0101] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0102] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0103] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0104] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document is not limited here.

[0105] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0106] The above is only a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present disclosure, which should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A port integrated energy system evaluation method based on cloud model, It is characterized in that include: The analytic hierarchy process is used to subjectively weight each evaluation indicator in the comprehensive evaluation system, and the entropy weight method is used to objectively weight each evaluation indicator. Based on game theory, the results of subjective weighting and objective weighting are combined to obtain the combined weights of various evaluation indicators; wherein the comprehensive evaluation system includes five indicator sets: environmental protection, energy utilization level, equipment green level, economy and reliability, and each indicator set contains multiple evaluation indicators; Calculate the relative degradation degree of each evaluation indicator and map it to the score value of each evaluation indicator, and obtain the indicator cloud parameters of each evaluation indicator based on the score value; input the indicator cloud parameters into the forward cloud generator to generate the indicator cloud map, and compare it with the standard cloud map to obtain the evaluation level corresponding to each evaluation indicator; Based on the combined weights of the various evaluation indicators contained in each indicator set and the indicator cloud parameters, the comprehensive cloud parameters of each indicator set are calculated; the comprehensive cloud parameters are input into the forward cloud generator to generate a comprehensive cloud map, and compared with the standard cloud map to obtain the evaluation level corresponding to each indicator set; Based on the combined weights and comprehensive cloud parameters of each indicator set, the total comprehensive cloud parameters of the port comprehensive energy system are calculated; the total comprehensive cloud parameters are input into the forward cloud generator to generate a total comprehensive cloud map, and compared with the standard cloud map to obtain the corresponding evaluation level of the port comprehensive energy system; the combined weight of the indicator set is the sum of the combined weights of the various evaluation indicators contained therein; The standard cloud map is generated based on the preset upper and lower limits of the evaluation level.

2. According to the cloud model-based port integrated energy system evaluation method of claim 1, It is characterized in that The method further comprises: Calculating the membership between the indicator cloud map and / or the comprehensive cloud map and / or the total comprehensive cloud map and each evaluation level by using a membership function; The evaluation level corresponding to the maximum membership degree is taken as the evaluation result.

3. According to the cloud model-based port integrated energy system evaluation method of claim 1, It is characterized in that The environmental protection index set includes PM2.5 / PM10 emission index, CO emission index, CO 2 Emission indicators, SOx emission indicators, NO X Emission indicators, VOC emission indicators, noise indicators; The energy utilization level indicator set includes the new energy power generation proportion indicator B 1 , Unit energy consumption level index B 2 , Energy saving rate index B 3 ; ; In the formula Represents the annual power generation of the photovoltaic system, Represents the annual power generation of the wind turbine system, Represents the annual electricity consumption of the port area; ; In the formula represents the annual power generation of the port area's integrated energy system, It represents the annual container throughput of the port area; ; In the formula , , , , Represents the standard coal conversion factors for electricity, hydrogen, diesel, gasoline and LNG, respectively. , , , , Represents the unit calorific value of electricity, hydrogen, diesel, gasoline and LNG respectively. Represents the annual hydrogen production of the port's integrated energy system, , , Respectively represent the annual usage of diesel, gasoline and LNG in the port area; The equipment green level indicator set includes the hydrogen-powered equipment proportion indicator C 1 、Electric power equipment proportion index C 2 , Shore power system configuration rate index C 3 ; ; In the formula Indicates the number of hydrogen / electric power equipment in the port area, Represents the number of bridge cranes in the port area, Represents the number of gantry cranes in the port area, Represents the number of container trucks in the port area, Represents the number of reach stackers in the port area, Represents the number of forklifts in the port area, Represents the number of forklifts in the port area; ; In the formula Indicates the number of berths equipped with shore power systems, Indicates the total number of berths in the port; The economic index set includes the annual construction cost index D of the comprehensive energy system 1 , Annual operation and maintenance cost index of comprehensive energy system D 2 , Annual benefit index of comprehensive energy system D 3 , Port area annual energy purchase cost index D 4 , Annual total environmental cost index of comprehensive energy system D 5 ; ; In the formula represents the one-time cost of the integrated energy system, represents the equipment purchase and installation costs of the integrated energy system, represents the engineering cost of the integrated energy system, Represents the salary paid to employees involved in project construction. represents other construction costs; ; In the formula represents the annual maintenance cost of equipment in the integrated energy system, Represents the salary expenses paid to employees involved in maintenance. represents the cost of system monitoring, Represents the spare parts cost of the integrated energy system, Indicates other operation and maintenance expenses; ; In the formula Indicates the portion of the annual electricity generated by the integrated energy system that is used in the port area. Indicates the unit price of electricity purchase, It represents the sales portion of the annual power generation of the integrated energy system. Indicates the unit price of electricity sold, Indicates the unit price of hydrogen sold; ; In the formula Indicates the purchase amount of different energy sources in the port area, Indicates the unit prices corresponding to different energy sources in the port area; ; In the formula Indicates the emission of a pollutant. Indicates the pollution equivalent value of a pollutant. Indicates the pollution equivalent number of a certain pollutant; The reliability index set includes the usage satisfaction index E 1 , Failure loss rate index E 2 ; ; In the formula represents the total loss caused by failure of the port integrated energy system, It represents the annual gross product of the port area.

4. According to the cloud model-based port integrated energy system evaluation method of claim 1, It is characterized in that The calculation steps of the combined weights of the evaluation indicators include: The evaluation indicators are weighted using the analytic hierarchy process and entropy weight method, and the basic weight combination is obtained as follows: ; Where n is the number of evaluation indicators, k is the number of weighting methods; Perform random linear combinations on the weight vectors in the basic weight combinations: ;in, is the linear combination coefficient of the kth weight, is the kth weight vector The comprehensive weight vector of The linear combination coefficients are optimized by the following formula to minimize the deviation between each group of weights, thereby obtaining the optimal combination weights: ； Get the optimized , and normalize it to get ; The combined weight is: .

5. According to the cloud model-based port integrated energy system evaluation method of claim 1, It is characterized in that The evaluation grades include excellent, good, general, poor, and extremely poor; standard cloud maps of the two grades of excellent and extremely poor are generated in the form of half clouds, and standard cloud maps of the three grades of good, general, and poor are generated in the form of complete normal clouds; The steps of generating the standard cloud map include: Convert the upper and lower limits of each evaluation level into three numerical features of the cloud model ; The calculation formula is: ； Where: and They are the corresponding upper and lower limits of the evaluation level respectively; is a constant; For the two evaluation levels of excellent and very poor, Take 1 and 0 respectively, ; The digital features corresponding to each evaluation level are input into the cloud generator to obtain the standard cloud map of the port integrated energy system.

6. The port integrated energy system evaluation method based on cloud model according to claim 1, It is characterized in that The relative degradation degree ranges from [0, 1]; wherein, when the relative degradation degree is 0, the indicator performance is the best; and when the relative degradation degree is 1, the indicator performance is the worst; the step of calculating the relative degradation degree of each evaluation indicator and mapping it to a score value of each evaluation indicator, and obtaining the indicator cloud parameter of each evaluation indicator based on the score value includes: Calculating the relative degradation degree of each evaluation index, wherein the evaluation index includes a larger-is-better index and a smaller-is-better index; Among them, the calculation formula for the relative degradation degree of the larger the better type index is: ； The calculation formula for the relative degradation degree of the smaller the better type index is: ； Where: Actual data for evaluation indicators; is the lower limit of the evaluation index; is the upper limit of the evaluation index; The relative degradation is mapped to a score value using the following formula: ; In the formula, The upper limit of the score value; According to the score value, the indicator cloud parameters are calculated using the following formula: ； In the formula, n is the number of data groups, is the score value of group i.

7. The port integrated energy system evaluation method based on cloud model according to claim 1, It is characterized in that The calculation formula for calculating the comprehensive cloud parameters of each indicator set based on the combined weights of the evaluation indicators contained in each indicator set and the indicator cloud parameters is: ； In the formula, is the combined weight of each evaluation index, m is the number of evaluation indexes, is the index cloud parameter of each evaluation index, It is the comprehensive cloud parameter of each indicator set.

8. According to the cloud model-based port integrated energy system evaluation method of claim 7, It is characterized in that The calculation formula for calculating the total comprehensive cloud parameters of the port integrated energy system based on the combined weights of each indicator set and the comprehensive cloud parameters is: ； In the formula, is the combined weight of each indicator set, which is equal to the sum of the combined weights of each evaluation indicator contained in it; is the comprehensive cloud parameter for each indicator set; It is the total comprehensive cloud parameter of the port integrated energy system.

9. An electronic device, It is characterized in that include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium storing computer instructions, It is characterized in that The computer instructions are used to cause the computer to execute the method according to any one of claims 1-8.

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