Evaluation index system construction and scoring method for rural distributed comprehensive energy construction effect

Abstract

The invention relates to a rural distributed comprehensive energy construction effect evaluation index system construction and scoring method. The method comprises the following steps: constructing a rural distributed comprehensive energy construction effect evaluation index system; calculating a subjective weight and an objective weight of each level of index; calculating a comprehensive weight by adopting a cooperative game method; and calculating to obtain scores of each first-level index and the target index. The weight of each index is calculated by applying a subjective and objective method, and the comprehensive weight is calculated by applying a cooperative game method on the basis, so that objective and comprehensive evaluation of rural distributed comprehensive energy construction is realized; the method has good flexibility and comprehensiveness, and through evaluation, the scheme is more suitable for practical application and better serves the living and production needs of local residents. The energy conversion efficiency of the whole system is improved, more clean and renewable resources are promoted to be used through reasonable evaluation standards, dependence on fossil fuel is reduced, greenhouse gas emission is reduced, and environmental protection is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to the construction of an evaluation index system and a scoring method for the effectiveness of rural distributed integrated energy construction. Background Art

[0002] Integrated energy has received much attention in recent years. As a clean and efficient way of energy utilization, it will be a key path to promote the development of clean energy and non-fossil energy in the future, and thus become a key path to promote the revolution of energy supply and demand. Electricity will inevitably become a link between primary and secondary energy in the future energy supply and demand network, and play an important role. The construction of rural distributed integrated energy is of great significance to promoting rural revitalization and promoting rural economic development. By utilizing renewable energy such as solar energy and wind energy, it will not only help improve the energy structure in rural areas, but also improve the quality of life of rural residents.

[0003] Many of the existing rural comprehensive energy systems are built in combination with energy Internet, but the current comprehensive energy evaluation system is generally constructed from more traditional aspects such as economy, environmental protection, adaptability, safety, and efficiency. The evaluation dimensions are relatively scattered and lack continuity. There is a lack of evaluation of rural energy Internet construction and no evaluation indicators are involved in Internet communications. Summary of the invention

[0004] In order to solve the problem that the evaluation dimensions of the existing evaluation system are relatively scattered and lack evaluation of energy interconnection, the purpose of the present invention is to provide an evaluation index system which adopts three primary indicators of equipment layer, information layer and application layer and 15 secondary indicators to build an evaluation index system, so as to realize objective and comprehensive evaluation of rural distributed integrated energy construction and a scoring method for the construction effectiveness of rural distributed integrated energy construction.

[0005] To achieve the above purpose, the present invention adopts the following technical solution: a method for constructing an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction, the method comprising the following steps in order:

[0006] (1) Establish an evaluation index system for the effectiveness of rural distributed integrated energy construction, which includes target indicators, three primary indicators and 15 secondary indicators;

[0007] (2) Calculate the subjective weights of indicators at all levels according to the analytic hierarchy process;

[0008] (3) Calculate the objective weights of indicators at all levels according to the objective weighting method;

[0009] (4) Based on the subjective weight and the objective weight, the comprehensive weight is calculated using the cooperative game method;

[0010] (5) Based on the comprehensive weight and the scoring formula of each secondary indicator, the scores of each primary indicator and the target indicator are calculated.

[0011] The step (1) specifically refers to:

[0012] The target indicator is the effectiveness of the construction of rural distributed integrated energy systems;

[0013] The first-level indicators include equipment layer, information layer and application layer. The equipment layer includes five second-level indicators: energy complementary supply degree, new energy output ratio, energy storage configuration ratio, distributed power supply penetration rate and new energy utilization rate. The information layer includes five second-level indicators: intelligent terminal equipment ratio, terminal communication coordination index, power grid equipment intelligence rate, network wide area coverage index and communication performance adaptation index. The application layer includes terminal electrification rate, demand response capability, power supply reliability rate, CO 2 There are five secondary indicators, including emission reduction rate and comprehensive energy adaptability to economic needs;

[0014] The degree of complementary energy supply F 1 It is used to reflect the wind, solar output and load power values. The formula is:

[0015]

[0016] Where W 风电 is the fan output value, W 光伏 is the photovoltaic output value, W 负荷 Indicates the load power value;

[0017] The proportion of new energy output F 2 The formula used to reflect the ratio of renewable energy output to total power output is:

[0018]

[0019] Where W 新能源 is the new energy output value, W 火电 is the output value of the thermal power unit;

[0020] The energy storage configuration ratio F 3 It is used to reflect the percentage of total energy storage power to total installed power generation capacity. The formula is:

[0021]

[0022] Where P ES is the total energy storage power, P sum is the total installed generating capacity;

[0023] The distributed generation penetration rate F 4It is used to reflect the percentage of distributed generation installed capacity to the annual maximum load. The formula is:

[0024]

[0025] Where P distributed Represents the installed capacity of distributed generation, P max Indicates the annual maximum load;

[0026] The new energy utilization rate F 5 The formula is as follows:

[0027]

[0028] In the formula, Q 风电 Indicates the wind power abandoned, Q 光伏 Indicates the abandoned optical power;

[0029] The proportion of intelligent terminal devices is F 6 The formula is:

[0030]

[0031] In the formula, R j Represents the number of system devices used to realize intelligent data collection, processing, and communication functions, R 总 Indicates the total number of power grid terminal devices;

[0032] The terminal communication coordination index e 协同 The formula is:

[0033] e 协同 =(e 中高压配网 ×0.8+e 低压配网 ×0.2)×100%

[0034] In the formula, e 中高压配网 The communication standardization rate of medium and high voltage distribution network business terminals of 10 kV and above; 低压配网 Standardization rate for business terminal communications of 0.4 kV and below;

[0035] The intelligent rate of power grid equipment F 7 The formula is as follows:

[0036] F 7 =R 电网 ×25%+R 电表 ×25%+R 变电站 ×25%+R 配电线路 ×25%

[0037] In the formula, R 电网 represents the coverage rate of power distribution automation, R 电表 represents the smart meter coverage rate, R变电站 represents the intelligentization rate of substation, R 配电线路 Indicates the intelligentization rate of distribution lines;

[0038] The network wide area coverage index e 网络覆盖 It is used to reflect the effective coverage of communication sites in the distribution network. The formula is:

[0039] e 网络覆盖 =(e 高压配网 ×0.3+e 中低压配网 ×0.7)×100%

[0040] In the formula, e 高压配网 The coverage rate of dual routes for high voltage distribution network communication sites of 35 kV and above. The dual routes for communication sites of 35 kV and above are optical cable network and transmission network; e 中低压配网 The effective coverage rate of low-voltage distribution network communication sites of 10 kV and below. Communication sites of 10 kV and below include control, marketing, and equipment business sites;

[0041] The communication performance adaptation index e 性能适配 It is used to reflect the real-time service coverage of the distribution network. The formula is:

[0042] e 性能适配 =(e 中高压业务覆盖 ×0.5+e 低压业务覆盖 ×0.5)×100%

[0043] In the formula, e 中高压业务覆盖 It is a real-time service for distribution networks of 10 kV and above, specifically a millisecond-level real-time control service; 低压业务覆盖 It is a quasi-real-time service of 0.4 kV and below, including direct dispatching, direct purchase and control, load management and distribution automation services;

[0044] The terminal electrification rate F 8 It is used to reflect the percentage of terminal electricity consumption in the total terminal energy consumption. The formula is:

[0045]

[0046] Where W E Represents the terminal power consumption, W sum It represents the total final energy consumption;

[0047] The demand response capacity D is used to reflect the proportion of user-side demand response resources in the historical maximum load, and its formula is:

[0048]

[0049] In the formula, R 可调节 represents the adjustable capacity of demand response resources, Rmax Indicates the historical maximum load;

[0050] The power supply reliability rate F 9 The formula is:

[0051]

[0052] Where, t 平均 represents the average power outage time of customers, and t represents the length of the statistical period;

[0053] The CO 2 Reduction rate F 10 The formula is:

[0054]

[0055] In the formula, Represents the CO of a single substation energy supply mode 2 Annual emissions, Represents the CO of the energy complex 2 Annual displacement;

[0056] The comprehensive energy capacity to adapt to economic needs F 11 The formula is:

[0057]

[0058] Where D Q represents the average annual growth rate of total energy supply, D GDP Represents the average annual growth rate of GDP in the energy supply area.

[0059] The step (2) specifically comprises the following steps in order:

[0060] (2a) Taking the five secondary indicators under the same primary indicator as a whole object, construct the judgment matrix corresponding to the five secondary indicators as units:

[0061] Construct judgment matrix A = (a hl ),Right now:

[0062]

[0063] Among them, the central symmetric elements of the judgment matrix are reciprocals of each other, that is:

[0064] a hl =1 / a lh

[0065] In the formula, h≠l; for a hl , h represents the row number of element a in the matrix, and l represents the column number of element a in the matrix;

[0066] The elements on the main diagonal of the judgment matrix are all 1, that is:

[0067] a 11 =a 22 =a 33 =a 44 =a 55 =1

[0068] (2b) Calculate the maximum eigenvalue λ of the eigenvector W of the judgment matrix A max , then the judgment matrix consistency index CI is:

[0069]

[0070] Among them, n represents the number of secondary indicators, and its value is 5; the smaller the CI value, the better the consistency of the constructed judgment matrix; conversely, the larger the CI value, the worse the consistency of the judgment matrix;

[0071] (2c) The random consistency ratio CR is used to determine whether the judgment matrix has satisfactory consistency. The random consistency ratio CR is the ratio of the consistency index CI of the judgment matrix to the average random consistency index RI of the same order:

[0072]

[0073] When CR<0.1, the judgment matrix meets the consistency requirement; otherwise, it is necessary to adjust the judgment matrix A and the importance relationship of each indicator until CR<0.1 is met;

[0074] (2d) The judgment matrix after the adjustment of the judgment matrix A is A'. The eigenvector W' of the judgment matrix A' is calculated, and W' = [W 1 ',W 2 ',W 3 ',W 4 ',W 5 '] T , W 1 ',W 2 ',W 3 ',W 4 ',W 5 'They are the weight values ​​corresponding to the five secondary indicators;

[0075] Calculate W(1) = [W 1 ',W 2 ', ..., W 5 '], with W i (1) represents the i-th value in W(1), that is, W i (1) is the weight of the ith indicator obtained using the hierarchical analysis method, i.e., the subjective weight, and 1 indicates that the hierarchical analysis method is used.

[0076] The step (3) specifically comprises the following steps in order:

[0077] (3a) Calculate the standard deviation S of the index i :

[0078]

[0079] In the formula, x ik is the kth data of the i-th secondary indicator; is the average value of the i-th secondary indicator; S i is the standard deviation of the i-th secondary indicator; n is the number of secondary indicators, which is 5;

[0080] (3b) Calculate the correlation coefficient r i j:

[0081]

[0082] In the formula, cov(X i ,X j ) is the correlation coefficient between the i-th index and the j-th index, that is, cov(X i ,X j )=EX i X j -EX i *EX j , E is the unit matrix; X i is the data set of the i-th secondary indicator, X j is the data set of the j-th secondary indicator, S j is the standard deviation of the j-th secondary indicator;

[0083] (3c) Calculate the information content G of the index i :

[0084]

[0085] (3d) Calculate the weight:

[0086]

[0087] Where W i (2) is the weight of the i-th indicator obtained using the objective weighting method, is the sum of the information of all secondary indicators; n is the number of secondary indicators, which is 5; W(2) is used to represent the weight of secondary indicators, where 2 indicates that the objective weighting method is used.

[0088] The step (4) specifically refers to:

[0089] Calculate the comprehensive weight W i :

[0090]

[0091] Among them, W i (1) is the subjective weight, W i (2) is the objective weight.

[0092] The step (5) specifically refers to:

[0093] The scoring formula for the energy complementary supply degree is:

[0094]

[0095] In the formula, F 1 The degree of complementary energy supply;

[0096] The scoring formula for the new energy output ratio is:

[0097]

[0098] In the formula, F 2 The proportion of renewable energy output;

[0099] The scoring formula for the distributed power penetration rate and the proportion of green power trading volume is the same as the scoring formula for the proportion of new energy output;

[0100] The index scoring formula for the energy storage configuration ratio is:

[0101]

[0102] In the formula, F 3 Configure the ratio for energy storage;

[0103] The scoring formula for the new energy utilization rate is:

[0104]

[0105] In the formula, F 5 is the utilization rate of new energy;

[0106] The scoring formula for the proportion of smart terminal devices is as follows:

[0107] P 5 =100*F 6

[0108] In the formula, F 6 The proportion of smart terminal devices;

[0109] The scoring formulas for the smart grid equipment rate, terminal communication coordination index, network wide-area coverage index, and comprehensive energy adaptability to economic needs are the same as the scoring formula for the proportion of smart terminal equipment.

[0110] The indicator scoring formula of the communication performance adaptation index is:

[0111]

[0112] In the formula, e 性能适配 is the communication performance adaptation index;

[0113] The indicator scoring formula for the terminal electrification rate is:

[0114]

[0115] In the formula, F 8 is the terminal electrification rate;

[0116] The indicator scoring formula for the demand response capability is:

[0117]

[0118] In the formula, D is the demand response capability;

[0119] The rating formula for the power supply reliability index is:

[0120]

[0121] In the formula, F 9 is the power supply reliability rate;

[0122] The CO 2 The indicator scoring formula for emission reduction rate is:

[0123]

[0124] In the formula, F 10 For CO 2 reduction rate;

[0125] The scoring formula for the first-level indicator is:

[0126]

[0127] Among them, W i is the comprehensive weight of the i-th secondary indicator, P i is the score of the single indicator of the i-th secondary indicator; n is the number of corresponding secondary indicators, and its value is 5; Y i' Score for the i'th first-level indicator;

[0128] The scoring formula for the target indicator is:

[0129]

[0130] Among them, Z is the final score of the target indicator; m' is the number of first-level indicators, and its value is 3.

[0131] It can be seen from the above technical scheme that the beneficial effects of the present invention are: first, the present invention is a rural distributed comprehensive energy construction evaluation system including three primary indicators of equipment layer, information layer and application layer and 15 secondary indicators, and uses subjective and objective methods to calculate the weight of each indicator. On this basis, the method of cooperative game is used to calculate the comprehensive weight, so as to achieve an objective and comprehensive evaluation of rural distributed comprehensive energy construction; second, taking into account the specific conditions of different regions, such as climatic conditions, resource availability, etc., the evaluation system has good flexibility and comprehensiveness. Through evaluation, the advantages and disadvantages of the construction plan can be provided with data support, so that the plan is more practical and can better serve the living and production needs of local residents; third, the construction of the evaluation system, especially through the evaluation of various indicators at the equipment layer, can dig out the weak links of energy construction in the construction plan, thereby optimizing the synergy between various energy sources and improving the energy conversion efficiency of the entire system. Reasonable evaluation standards will also promote the use of more clean and renewable resources, reduce dependence on fossil fuels, reduce greenhouse gas emissions, and benefit environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0132] Figure 1 Schematic diagram of the evaluation index system in the present invention;

[0133] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0134] like Figure 2 As shown, a method for constructing an evaluation index system and scoring the effectiveness of rural distributed integrated energy construction is provided, and the method includes the following steps in order:

[0135] (1) Establish an evaluation index system for the effectiveness of rural distributed integrated energy construction, which includes target indicators, three primary indicators and 15 secondary indicators;

[0136] (2) Calculate the subjective weights of indicators at all levels according to the analytic hierarchy process;

[0137] (3) Calculate the objective weights of indicators at all levels according to the objective weighting method;

[0138] (4) Based on the subjective weight and the objective weight, the comprehensive weight is calculated using the cooperative game method;

[0139] (5) Based on the comprehensive weight and the scoring formula of each secondary indicator, the scores of each primary indicator and the target indicator are calculated.

[0140] The step (1) specifically refers to:

[0141] like Figure 1 As shown, the target indicator is the effectiveness of the construction of rural distributed integrated energy systems;

[0142] The first-level indicators include equipment layer, information layer and application layer. The equipment layer includes five second-level indicators: energy complementary supply degree, new energy output ratio, energy storage configuration ratio, distributed power supply penetration rate and new energy utilization rate. The information layer includes five second-level indicators: intelligent terminal equipment ratio, terminal communication coordination index, power grid equipment intelligence rate, network wide area coverage index and communication performance adaptation index. The application layer includes terminal electrification rate, demand response capability, power supply reliability rate, CO 2 There are five secondary indicators, including emission reduction rate and comprehensive energy adaptability to economic needs;

[0143] The degree of complementary energy supply F 1 It is used to reflect the wind, solar output and load power values. The formula is:

[0144]

[0145] Where W 风电 is the fan output value, W 光伏 is the photovoltaic output value, W 负荷 Indicates the load power value;

[0146] The proportion of new energy output F 2 The formula used to reflect the ratio of renewable energy output to total power output is:

[0147]

[0148] Where W 新能源 is the new energy output value, W 火电 is the output value of the thermal power unit;

[0149] The energy storage configuration ratio F 3 It is used to reflect the percentage of total energy storage power to total installed power generation capacity. The formula is:

[0150]

[0151] Where P ES is the total energy storage power, P sum is the total installed generating capacity;

[0152] The distributed generation penetration rate F 4 It is used to reflect the percentage of distributed generation installed capacity to the annual maximum load. The formula is:

[0153]

[0154] Where Pdistributed Represents the installed capacity of distributed generation, P max Indicates the annual maximum load;

[0155] The new energy utilization rate F 5 The formula is as follows:

[0156]

[0157] In the formula, Q 风电 Indicates the wind power abandoned, Q 光伏 Indicates the abandoned optical power;

[0158] The proportion of intelligent terminal devices is F 6 The formula is:

[0159]

[0160] In the formula, R j Represents the number of system devices used to realize intelligent data collection, processing, and communication functions, R 总 Indicates the total number of power grid terminal devices;

[0161] The terminal communication coordination index e 协同 The formula is:

[0162] e 协同 =(e 中高压配网 ×0.8+e 低压配网 ×0.2)×100%

[0163] In the formula, e 中高压配网 The communication standardization rate of medium and high voltage distribution network business terminals of 10 kV and above; 低压配网 Standardization rate for business terminal communications of 0.4 kV and below;

[0164] The intelligent rate of power grid equipment F 7 The formula is as follows:

[0165] F 7 =R 电网 ×25%+R 电表 ×25%+R 变电站 ×25%+R 配电线路 ×25%

[0166] In the formula, R 电网 represents the coverage rate of power distribution automation, R 电表 represents the smart meter coverage rate, R 变电站 represents the intelligentization rate of substation, R 配电线路 Indicates the intelligentization rate of distribution lines;

[0167] The network wide area coverage index e 网络覆盖It is used to reflect the effective coverage of communication sites in the distribution network. The formula is:

[0168] e 网络覆盖 =(e 高压配网 ×0.3+e 中低压配网 ×0.7)×100%

[0169] In the formula, e 高压配网 The coverage rate of dual routes for high voltage distribution network communication sites of 35 kV and above. The dual routes for communication sites of 35 kV and above are optical cable network and transmission network; e 中低压配网 The effective coverage rate of low-voltage distribution network communication sites of 10 kV and below. Communication sites of 10 kV and below include control, marketing, and equipment business sites;

[0170] The communication performance adaptation index e 性能适配 It is used to reflect the real-time service coverage of the distribution network. The formula is:

[0171] e 性能适配 =(e 中高压业务覆盖 ×0.5+e 低压业务覆盖 ×0.5)×100%

[0172] In the formula, e 中高压业务覆盖 It is a real-time service for distribution networks of 10 kV and above, specifically a millisecond-level real-time control service; 低压业务覆盖 It is a quasi-real-time service of 0.4 kV and below, including direct dispatching, direct purchase and control, load management and distribution automation services;

[0173] The terminal electrification rate F 8 It is used to reflect the percentage of terminal electricity consumption in the total terminal energy consumption. The formula is:

[0174]

[0175] Where W E Represents the terminal power consumption, W sum It represents the total final energy consumption;

[0176] The demand response capacity D is used to reflect the proportion of user-side demand response resources in the historical maximum load, and its formula is:

[0177]

[0178] In the formula, R 可调节 represents the adjustable capacity of demand response resources, R max Indicates the historical maximum load;

[0179] The power supply reliability rate F 9 The formula is:

[0180]

[0181] In the formula, t 平均 represents the average power outage time of customers, and t represents the length of the statistical period;

[0182] The CO 2 Reduction rate F 10 The formula is:

[0183]

[0184] In the formula, Represents the CO of a single substation energy supply mode 2 Annual emissions, Indicates the CO of the energy complex 2 Annual displacement;

[0185] The comprehensive energy capacity to adapt to economic needs F 11 The formula is:

[0186]

[0187] Where D Q represents the average annual growth rate of total energy supply, D GDP Represents the average annual growth rate of GDP in the energy supply area.

[0188] The step (2) specifically comprises the following steps in order:

[0189] (2a) Taking the five secondary indicators under the same primary indicator as a whole object, construct the judgment matrix corresponding to the five secondary indicators as units:

[0190] Construct judgment matrix A = (a hl ),Right now:

[0191]

[0192] Among them, the central symmetric elements of the judgment matrix are reciprocals of each other, that is:

[0193] a hl =1 / a lh

[0194] In the formula, h≠l; for a hl , h represents the row number of element a in the matrix, and l represents the column number of element a in the matrix;

[0195] The elements on the main diagonal of the judgment matrix are all 1, that is:

[0196] a 11 =a 22 =a 33 =a 44=a 55 =1

[0197] (2b) Calculate the maximum eigenvalue λ of the eigenvector W of the judgment matrix A max , then the judgment matrix consistency index CI is:

[0198]

[0199] Among them, n represents the number of secondary indicators, and its value is 5; the smaller the CI value, the better the consistency of the constructed judgment matrix; conversely, the larger the CI value, the worse the consistency of the judgment matrix;

[0200] (2c) The random consistency ratio CR is used to determine whether the judgment matrix has satisfactory consistency. The random consistency ratio CR is the ratio of the consistency index CI of the judgment matrix to the average random consistency index RI of the same order:

[0201]

[0202] When CR<0.1, the judgment matrix meets the consistency requirement; otherwise, it is necessary to adjust the judgment matrix A and the importance relationship of each indicator until CR<0.1 is met;

[0203] (2d) The judgment matrix after the adjustment of the judgment matrix A is A'. The eigenvector W' of the judgment matrix A' is calculated, and W' = [W 1 ',W 2 ',W 3 ',W 4 ',W 5 '] T , W 1 ',W 2 ',W 3 ',W 4 ',W 5 'They are the weight values ​​corresponding to the five secondary indicators;

[0204] Calculate W(1) = [W 1 ',W 2 ', ..., W 5 '], with W i (1) represents the i-th value in W(1), that is, W i (1) is the weight of the ith indicator obtained using the hierarchical analysis method, i.e., the subjective weight, and 1 indicates that the hierarchical analysis method is used.

[0205] And so on, calculate the weights of the secondary indicators under the other two primary indicators respectively.

[0206] The step (3) specifically comprises the following steps in order:

[0207] (3a) Calculate the standard deviation S of the index i :

[0208]

[0209] In the formula, x ik is the kth data of the i-th secondary indicator; is the average value of the i-th secondary indicator; S i is the standard deviation of the i-th secondary indicator; n is the number of secondary indicators, which is 5;

[0210] (3b) Calculate the correlation coefficient r i j:

[0211]

[0212] In the formula, cov(X i ,X j ) is the correlation coefficient between the i-th index and the j-th index, that is, cov(X i ,X j )=EX i X j -EX i *EX j , E is the unit matrix; X i is the dataset of the i-th secondary indicator, X j is the data set of the j-th secondary indicator, S j is the standard deviation of the j-th secondary indicator;

[0213] (3c) Calculate the information content G of the index i :

[0214]

[0215] (3d) Calculate the weight:

[0216]

[0217] Where W i (2) is the weight of the i-th indicator obtained using the objective weighting method, is the sum of the information of all secondary indicators; n is the number of secondary indicators, which is 5; W(2) is used to represent the weight of secondary indicators, where 2 indicates that the objective weighting method is used.

[0218] The cooperative game adopts a cooperative approach, or a compromise. The reason why compromise can enhance the interests of both parties and the interests of the entire society is that the cooperative game can generate a cooperative surplus. This surplus is generated from this relationship and approach, and is limited to this. As for how the cooperative surplus is distributed among the parties to the game, it depends on the power comparison and skill application of the parties to the game. Therefore, compromise must be bargained, reached, and cooperated by all parties to the game. Here, the distribution of the cooperative surplus is both the result of compromise and the condition for compromise.

[0219] The step (4) specifically refers to:

[0220] Calculate the comprehensive weight W i :

[0221]

[0222] Among them, W i (1) is the subjective weight, W i (2) is the objective weight.

[0223] In addition, only two methods are used in the present invention. When more than two methods are used, the comprehensive weight is Here, s is the number of methods used.

[0224] The step (5) specifically refers to:

[0225] The scoring formula for the energy complementary supply degree is:

[0226]

[0227] In the formula, F 1 The degree of complementary energy supply;

[0228] The scoring formula for the new energy output ratio is:

[0229]

[0230] In the formula, F 2 The proportion of new energy output;

[0231] The scoring formula for the distributed power penetration rate and the proportion of green power trading volume is the same as the scoring formula for the proportion of new energy output;

[0232] The index scoring formula for the energy storage configuration ratio is:

[0233]

[0234] In the formula, F 3 Configure the ratio for energy storage;

[0235] The scoring formula for the new energy utilization rate is:

[0236]

[0237] In the formula, F 5 is the utilization rate of new energy;

[0238] The scoring formula for the proportion of smart terminal devices is as follows:

[0239] P 5 =100*F 6

[0240] In the formula, F 6 The proportion of smart terminal devices;

[0241] The scoring formulas for the smart grid equipment rate, terminal communication coordination index, network wide-area coverage index, and comprehensive energy adaptability to economic needs are the same as the scoring formula for the proportion of smart terminal equipment.

[0242] The indicator scoring formula of the communication performance adaptation index is:

[0243]

[0244] In the formula, e 性能适配 is the communication performance adaptation index;

[0245] The indicator scoring formula for the terminal electrification rate is:

[0246]

[0247] In the formula, F 8 is the terminal electrification rate;

[0248] The indicator scoring formula for the demand response capability is:

[0249]

[0250] In the formula, D is the demand response capability;

[0251] The rating formula for the power supply reliability index is:

[0252]

[0253] In the formula, F 9 is the power supply reliability rate;

[0254] The CO 2 The indicator scoring formula for emission reduction rate is:

[0255]

[0256] In the formula, F 10 For CO 2 reduction rate;

[0257] The scoring formula for the first-level indicator is:

[0258]

[0259] Among them, W i is the comprehensive weight of the i-th secondary indicator, P i is the score of the single indicator of the i-th secondary indicator; n is the number of corresponding secondary indicators, and its value is 5; Y i' Score for the i'th first-level indicator;

[0260] The scoring formula for the target indicator is:

[0261]

[0262] Among them, Z is the final score of the target indicator; m' is the number of first-level indicators, and its value is 3.

[0263] In summary, the present invention is a rural distributed comprehensive energy construction evaluation system including three primary indicators of equipment layer, information layer and application layer, and 15 secondary indicators, and applies subjective and objective methods to calculate the weight of each indicator. On this basis, the cooperative game method is applied to calculate the comprehensive weight to achieve an objective and comprehensive evaluation of rural distributed comprehensive energy construction. Taking into account the specific conditions of different regions, such as climate conditions, resource availability, etc., the evaluation system has good flexibility and comprehensiveness. Through evaluation, the advantages and disadvantages of the construction plan can be provided with data support, making the plan more practical and better serving the living and production needs of local residents. By constructing an evaluation system, especially through the evaluation of various indicators at the equipment layer, the weak links in energy construction in the construction plan can be explored, thereby optimizing the synergy between various energy sources and improving the energy conversion efficiency of the entire system. Reasonable evaluation standards will also promote the use of more clean and renewable resources, reduce dependence on fossil fuels, reduce greenhouse gas emissions, and benefit environmental protection.

Claims

1. A rural distributed integrated energy construction effectiveness evaluation index system construction and scoring method, characterized by: The method comprises the following steps in order: (1) Establish an evaluation index system for the effectiveness of rural distributed integrated energy construction, which includes target indicators, three primary indicators and 15 secondary indicators; (2) Calculate the subjective weights of indicators at all levels according to the analytic hierarchy process; (3) Calculate the objective weights of indicators at all levels according to the objective weighting method; (4) Based on the subjective weight and the objective weight, the comprehensive weight is calculated using the cooperative game method; (5) Based on the comprehensive weight and the scoring formula of each secondary indicator, the scores of each primary indicator and the target indicator are calculated.

2. The construction of an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction according to claim 1 is characterized by: The step (1) specifically refers to: The target indicator is the effectiveness of the construction of rural distributed integrated energy systems; The first-level indicators include the equipment layer, information layer, and application layer. The equipment layer includes five second-level indicators: energy complementary supply degree, new energy output ratio, energy storage configuration ratio, distributed power supply penetration rate, and new energy utilization rate; the information layer includes five second-level indicators: intelligent terminal equipment ratio, terminal communication coordination index, power grid equipment intelligence rate, network wide area coverage index, and communication performance adaptation index; the application layer includes five second-level indicators: terminal electrification rate, demand response capability, power supply reliability rate, CO2 emission reduction rate, and comprehensive energy adaptation to economic needs; The energy complementary supply degree F1 is used to reflect the situation of wind and solar output values ​​and load power values, and its formula is: Where W 风电 is the fan output value, W 光伏 is the photovoltaic output value, W 负荷 Indicates the load power value; The new energy output ratio F2 is used to reflect the ratio of new energy output to the total power output, and its formula is: Where W 新能源 is the new energy output value, W 火电 is the output value of the thermal power unit; The energy storage configuration ratio F3 is used to reflect the percentage of the total energy storage power to the total installed power generation capacity, and its formula is: Where P ES is the total energy storage power, P sum is the total installed generating capacity; The distributed generation penetration rate F4 is used to reflect the percentage of distributed generation installed capacity to the annual maximum load, and its formula is: Where P distributed Represents the installed capacity of distributed generation, P max Indicates the annual maximum load; The formula of the new energy utilization rate F5 is as follows: In the formula, Q 风电 Indicates the wind power abandoned, Q 光伏 Indicates the abandoned optical power; The formula for the proportion of smart terminal devices F6 is: In the formula, R j Represents the number of system devices used to realize intelligent data collection, processing, and communication functions, R 总 Indicates the total number of power grid terminal devices; The terminal communication coordination index e 协同 The formula is: And 协同 =(and 中高压配网 ×0.8+e 低压配网 ×0.2)×100% In the formula, e 中高压配网 The communication standardization rate of medium and high voltage distribution network business terminals of 10 kV and above; 低压配网 Standardization rate for business terminal communications of 0.4 kV and below; The formula of the power grid equipment intelligence rate F7 is as follows: F7=R 电网 ×25%+R 电表 ×25%+R 变电站 ×25%+R 配电线路 ×25% In the formula, R 电网 represents the coverage rate of power distribution automation, R 电表 represents the smart meter coverage rate, R 变电站 represents the intelligentization rate of substation, R 配电线路 Indicates the intelligentization rate of distribution lines; The network wide area coverage index e 网络覆盖 It is used to reflect the effective coverage of communication sites in the distribution network. The formula is: And 网络覆盖 =(and 高压配网 ×0.3+e 中低压配网 ×0.7)×100% In the formula, e 高压配网 The coverage rate of dual routes for high voltage distribution network communication sites of 35 kV and above. The dual routes for communication sites of 35 kV and above are optical cable network and transmission network; e 中低压配网 The effective coverage rate of low-voltage distribution network communication sites of 10 kV and below. Communication sites of 10 kV and below include control, marketing, and equipment business sites; The communication performance adaptation index e 性能适配 It is used to reflect the real-time service coverage of the distribution network. The formula is: And 性能适配 =(and 中高压业务覆盖 ×0.5+e 低压业务覆盖 ×0.5)×100% In the formula, e 中高压业务覆盖 It is a real-time service for distribution networks of 10 kV and above, specifically a millisecond-level real-time control service; 低压业务覆盖 It is a quasi-real-time service of 0.4 kV and below, including direct dispatching, direct purchase and control, load management and distribution automation services; The terminal electrification rate F8 is used to reflect the percentage of terminal electricity consumption in the total terminal energy consumption, and its formula is: Where W E Represents the terminal power consumption, W sum It represents the total final energy consumption; The demand response capacity D is used to reflect the proportion of user-side demand response resources in the historical maximum load, and its formula is: In the formula, R 可调节 represents the adjustable capacity of demand response resources, R max Indicates the historical maximum load; The formula of the power supply reliability rate F9 is: In the formula, t 平均 represents the average power outage time of customers, and t represents the length of the statistical period; The CO2 emission reduction rate F 10 The formula is: In the formula, Indicates the annual CO2 emissions of a single substation energy supply mode, represents the annual CO2 emissions of the energy complex; The comprehensive energy capacity to adapt to economic needs F 11 The formula is: Where D Q represents the average annual growth rate of total energy supply, D GDP Represents the average annual growth rate of GDP in the energy supply area.

3. The construction of an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction according to claim 1 is characterized by: The step (2) specifically comprises the following steps in order: (2a) Taking the five secondary indicators under the same primary indicator as a whole object, construct the judgment matrix corresponding to the five secondary indicators as units: Construct judgment matrix A = (a hl ),Right now: Among them, the central symmetric elements of the judgment matrix are reciprocals of each other, that is: a hl =1 / a lh In the formula, h≠l; for a hl , h represents the row number of element a in the matrix, and l represents the column number of element a in the matrix; The elements on the main diagonal of the judgment matrix are all 1, that is: a 11 =a 22 =a 33 =a 44 =a 55 =1 (2b) Calculate the maximum eigenvalue λ of the eigenvector W of the judgment matrix A max , then the judgment matrix consistency index CI is: Among them, n represents the number of secondary indicators, and its value is 5; the smaller the CI value, the better the consistency of the constructed judgment matrix; conversely, the larger the CI value, the worse the consistency of the judgment matrix; (2c) The random consistency ratio CR is used to determine whether the judgment matrix has satisfactory consistency. The random consistency ratio CR is the ratio of the consistency index CI of the judgment matrix to the average random consistency index RI of the same order: When CR<0.1, the judgment matrix meets the consistency requirement; otherwise, it is necessary to adjust the judgment matrix A and the importance relationship of each indicator until CR<0.1 is met; (2d) The judgment matrix after the adjustment of the judgment matrix A is A'. The eigenvector W' of the judgment matrix A' is calculated, and W' = [W1', W2', W3', W4', W5'] is obtained. T , W1', W2', W3', W4', and W5' are the weight values ​​corresponding to the five secondary indicators; Calculate W(1) = [W1', W2', ..., W5'], with W i (1) represents the i-th value in W(1), that is, W i (1) is the weight of the ith indicator obtained using the hierarchical analysis method, i.e., the subjective weight, and 1 indicates that the hierarchical analysis method is used.

4. The construction of an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction according to claim 1 is characterized by: The step (3) specifically comprises the following steps in order: (3a) Calculate the standard deviation S of the index i : In the formula, x ik is the kth data of the i-th secondary indicator; is the average value of the i-th secondary indicator; S i is the standard deviation of the i-th secondary indicator; n is the number of secondary indicators, which is 5; (3b) Calculate the correlation coefficient r i j: In the formula, cov(X i ,X j ) is the correlation coefficient between the i-th index and the j-th index, that is, cov(X i ,X j )=EX i X j -EX i *EX j , E is the unit matrix; X i is the dataset of the i-th secondary indicator, X j is the data set of the j-th secondary indicator, S j is the standard deviation of the j-th secondary indicator; (3c) Calculate the information content G of the index i : (3d) Calculate the objective weight: Where W i (2) is the weight of the ith indicator obtained using the objective weighting method, i.e., the objective weight, where 2 indicates that the objective weighting method is used; is the sum of the information of all secondary indicators; n is the number of secondary indicators, and its value is 5.

5. The construction of an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction according to claim 1 is characterized by: The step (4) specifically refers to: Calculate the comprehensive weight W i : Among them, W i (1) is the subjective weight, W i (2) is the objective weight.

6. The construction of an evaluation index system and scoring method for the effectiveness of rural distributed integrated energy construction according to claim 1 is characterized by: The step (5) specifically refers to: The scoring formula for the energy complementary supply degree is: In the formula, F1 is the degree of complementary energy supply; The scoring formula for the new energy output ratio is: In the formula, F2 is the proportion of new energy output; The scoring formula for the distributed power penetration rate and the proportion of green power trading volume is the same as the scoring formula for the proportion of new energy output; The index scoring formula for the energy storage configuration ratio is: In the formula, F3 is the energy storage configuration ratio; The scoring formula for the new energy utilization rate is: In the formula, F5 is the utilization rate of new energy; The scoring formula for the proportion of smart terminal devices is as follows: P5=100*F6 In the formula, F6 is the proportion of smart terminal devices; The scoring formulas for the smart grid equipment rate, terminal communication coordination index, network wide-area coverage index, and comprehensive energy adaptability to economic needs are the same as the scoring formula for the proportion of smart terminal equipment. The indicator scoring formula of the communication performance adaptation index is: In the formula, e 性能适配 is the communication performance adaptation index; The indicator scoring formula for the terminal electrification rate is: Where, F8 is the terminal electrification rate; The indicator scoring formula for the demand response capability is: In the formula, D is the demand response capability; The index scoring formula for the power supply reliability rate is: In the formula, F9 is the power supply reliability rate; The indicator scoring formula for the CO2 emission reduction rate is: In the formula, F 10 is the CO2 emission reduction rate; The scoring formula for the first-level indicator is: Among them, W i is the comprehensive weight of the i-th secondary indicator, P i is the score of the single indicator of the i-th secondary indicator; n is the number of corresponding secondary indicators, and its value is 5; Y i' Score for the i'th first-level indicator; The scoring formula for the target indicator is: Among them, Z is the final score of the target indicator; m' is the number of first-level indicators, and its value is 3.

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