Distribution network economic operation evaluation system and method for coal-to-electricity project

Abstract

The invention discloses a coal-to-electricity project-oriented distribution network economic operation evaluation system and method in the technical field of power systems. The method comprises the steps of obtaining power distribution system indexes; subjective weighting is carried out on the power distribution system indexes through an analytic hierarchy process to obtain index subjective weights; objective weighting is carried out on the power distribution system indexes through a CRITIC method, and objective weights of the indexes are obtained; and after combined weighting is carried out based on the index subjective weight and the index objective weight, calculating a distribution network comprehensive evaluation score after coal-to-electricity project reconstruction, and evaluating the reconstruction effect. According to the method, the analytic hierarchy process and the CRITIC method are adopted for combined weighting for the power distribution network of the coal-to-electricity project, subjective and objective factors are comprehensively considered, the prejudice of a single factor is avoided, and the accuracy and reliability of an evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to a distribution network economic operation evaluation system and method for a coal-to-electricity project, and belongs to the technical field of power systems. Background Art

[0002] As environmental problems become increasingly severe, the power system also needs to transform towards cleanliness and efficiency. As a basic part of the power system, the clean transformation of the distribution network can effectively reduce environmental pollution. Traditional coal heating produces a large amount of pollutants and has a great impact on the environment. The coal-to-electricity project can effectively improve environmental problems.

[0003] Due to the large-scale development of coal-to-electricity projects, the distribution network structure has undergone major changes. Therefore, it is necessary to rationally plan various distribution network resources so that the distribution network can operate safely and stably in the most economical way. After the distribution network transformation is completed, it is necessary to conduct a comprehensive evaluation and summary of the transformation results. The existing evaluation system only considers the power-related parameters of the distribution network itself, and does not consider the characteristics of the distribution network after the coal-to-electricity project. Therefore, it is necessary to build a new evaluation system to evaluate and feedback it. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a distribution network economic operation evaluation system and method for coal-to-electricity projects, which conducts subjective and objective weighted evaluation on distribution network indicators after the coal-to-electricity transformation is completed, comprehensively considers subjective and objective factors, and improves the accuracy and reliability of the evaluation results.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a distribution network economic operation evaluation method for a coal-to-electricity project, comprising:

[0007] Obtain distribution system indicators;

[0008] The subjective weights of distribution system indicators are obtained by subjectively assigning weights to indicators through the analytic hierarchy process.

[0009] The distribution system indicators are objectively weighted by the CRITIC method to obtain the objective weights of the indicators;

[0010] After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

[0011] Furthermore, the distribution system indicators include economic indicators and technical indicators, among which: economic indicators include the annual unit cost of reactive power compensation, the annual unit cost of three-phase imbalance, the unit cost of electrochemical energy storage, DG power generation income, line loss improvement income and coal-to-electricity carbon emission reduction benefits; technical indicators include distribution line load rate, short-circuit capacity, line loss rate, power factor, node voltage deviation rate, harmonic distortion rate, electric heating absorption rate of DG, equipment utilization rate and electric heating load proportion.

[0012] Furthermore, the power distribution system indicators are subjectively weighted by the hierarchical analysis method to obtain the subjective weights of the indicators, including:

[0013] Construct a judgment matrix based on distribution system indicators:

[0014] Conduct consistency check on the judgment matrix;

[0015] In response to the judgment matrix not satisfying the consistency check, adjusting the judgment matrix and re-performing the consistency check;

[0016] In response to the judgment matrix satisfying the consistency check, the subjective weight of the indicator is calculated.

[0017] Furthermore, the judgment matrix is ​​subjected to consistency check, including:

[0018] Calculate the maximum eigenvalue of the judgment matrix;

[0019] In response to the maximum eigenvalue being equal to the order of the judgment matrix, the judgment matrix satisfies the consistency test;

[0020] In response to the maximum eigenvalue being less than the order of the judgment matrix, the judgment matrix is ​​adjusted and the consistency check is performed again;

[0021] In response to the maximum eigenvalue being greater than the order of the judgment matrix, the consistency index is calculated based on the maximum eigenvalue, and then the consistency ratio is calculated based on the consistency index. In response to the consistency ratio being less than 0.1, the consistency test passes. Otherwise, the judgment matrix is ​​adjusted and the consistency test is performed again. The calculation formula is:

[0022]

[0023] In the formula, CI is the consistency index, λ max is the maximum eigenvalue, n is the order of the judgment matrix, CR is the consistency ratio, and RI is the average random consistency index;

[0024] In response to the judgment matrix satisfying the consistency check, the subjective weight of the indicator is calculated, including: calculating the characteristic phasor corresponding to the maximum eigenvalue of the judgment matrix, and then normalizing the characteristic phasor to obtain the subjective weight of the indicator, the expression is:

[0025] WAHP =(ω1,ω2,…ω n )

[0026] Where W AHP is the subjective weight of the indicator, ω n is the weight of the nth indicator.

[0027] Furthermore, the distribution system indicators are objectively weighted by the CRITIC method to obtain objective weights of the indicators, including:

[0028] forming an original matrix based on the distribution system indicators;

[0029] Non-dimensionalize the elements in the original matrix;

[0030] Calculate the information carrying capacity of the elements in the original matrix after dimensionless processing;

[0031] Calculate the objective weight of indicators based on information carrying capacity.

[0032] Furthermore, the elements in the original matrix are dimensionless processed, including:

[0033] For positive indicators:

[0034]

[0035] For negative indicators:

[0036]

[0037] Among them, x i ' j is the element in the matrix after dimensionless processing, x j is the jth index, x max is the maximum value of the indicator in the sample, x min is the minimum value of the indicator in the sample;

[0038] Calculate the information carrying capacity of the elements in the original matrix after dimensionless processing, including: after calculating the contrast strength and index conflict of the j-th index, calculate the information carrying capacity based on the contrast strength and index conflict, and the calculation formula is:

[0039]

[0040]

[0041] C j =θ j R j

[0042] Among them, θ jis the comparison strength of the jth indicator, the average value of the elements in the matrix after dimensionless processing m is the number of indicators; R j is the index conflict, r ij is the correlation coefficient between indicators i and j; C j To calculate the information carrying capacity;

[0043] The objective weight of the indicator is calculated based on the information carrying capacity. The calculation formula is:

[0044]

[0045] Among them, W CRITIC is the objective weight of the indicator.

[0046] Furthermore, after combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project transformation is calculated. The calculation formula is:

[0047] W=αW AHP +(1-α)W CRITIC

[0048]

[0049] Among them, W is the combined weight, α is a trade-off parameter between 0 and 1, and W AHP is the subjective weight of the indicator, W CRITIC is the objective weight of the indicator; T mark is the comprehensive evaluation score, X i is the score of the ith indicator, W i Assign weights to the combination of the i-th indicator.

[0050] In a second aspect, the present invention provides a distribution network economic operation evaluation system for coal-to-electricity projects, comprising:

[0051] Data receiving module: used to obtain power distribution system indicators;

[0052] Subjective weighting module: used to subjectively weight the distribution system indicators through the hierarchical analysis method to obtain the subjective weight of the indicators;

[0053] Objective weighting module: used to objectively weight the distribution system indicators through the CRITIC method to obtain the objective weights of the indicators;

[0054] Evaluation and calculation module: After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

[0055] In a third aspect, the present invention provides a distribution network economic operation evaluation device for coal-to-electricity projects, including a processor and a storage medium;

[0056] The storage medium is used to store instructions;

[0057] The processor is used to operate according to the instructions to execute the steps of any of the methods described above.

[0058] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1. The present invention provides a distribution network economic operation evaluation system and application method for coal-to-electricity projects. When weighting indicators, the hierarchical analysis method and the CRITIC method are used for combined weighting. The hierarchical analysis method is used for subjective weighting, and the CRITIC method is used for objective weighting. Compared with a single weighting method, the method used in the present invention can comprehensively consider subjective and objective factors, avoid the bias of a single factor, and improve the accuracy and reliability of the evaluation results.

[0061] 2. When constructing the evaluation system, the present invention adopts some traditional distribution network evaluation technical indicators, and at the same time constructs some new indicators for coal-to-electricity projects, including economic indicators and some technical indicators. Compared with the existing evaluation system, it can consider decision-making issues more comprehensively and reduce the arbitrariness and uncertainty of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 A diagram of the evaluation index system for coal-to-electricity projects provided in the first embodiment of the present invention;

[0064] Figure 2 A schematic flow chart of a distribution network economic operation evaluation method for coal-to-electricity projects provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0065] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0066] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0067] Embodiment 1:

[0068] Please refer to Figure 1-2 , a distribution network economic operation evaluation method for coal-to-electricity projects, including the following contents:

[0069] I. Principles for constructing an economic operation evaluation system

[0070] To evaluate the distribution network, it is necessary to build a complete and reasonable evaluation system, which needs to meet the following basic principles:

[0071] (1) Comprehensive principle

[0072] The evaluation system should cover all aspects of the distribution network system, including economy, reliability, safety, environmental friendliness, etc., to comprehensively evaluate the operating status of the distribution network system. At the same time, it should also comprehensively consider the relationship and influence between different indicators to avoid one-sided pursuit of the optimization of a certain indicator while ignoring the impact of other indicators.

[0073] (2) Scientific principle

[0074] The evaluation system should be based on scientific theories and technical methods, fully consider the characteristics and laws of the distribution network, ensure that the evaluation results are scientific and credible, and should rely on actual data to ensure that the evaluation results do not deviate from reality.

[0075] (3) Flexibility principle

[0076] The evaluation system should have a certain degree of flexibility and adjustability, and be able to be flexibly adjusted and optimized according to actual conditions and needs to adapt to different evaluation objects and evaluation objectives.

[0077] (4) Principle of practicality

[0078] The evaluation system should be practical and able to provide practical information and suggestions to decision makers and managers, and guide actual operation and management work. It should be able to provide support and guidance for each stage of distribution network planning, design, construction, and operation, and have strong operability and enforceability.

[0079] II. Post-evaluation index system for coal-to-electricity projects

[0080] The coal-to-electricity project has resulted in a large increase in the number of fluctuating and intermittent electric and thermal loads in the distribution network. Therefore, during planning, it is necessary to access various distribution network resources to cope with the impact of load uncertainty on the distribution network. Figure 1 The present invention considers installing reactive power compensation devices, three-phase unbalanced adjustment devices, electrochemical energy storage devices and distributed generation (DG), and constructs evaluation indicators based on the above devices, including two categories: economic indicators and technical indicators.

[0081] (1) Economic indicators

[0082] The present invention proposes the following new economic indicators for coal-to-electricity projects, including:

[0083] 1. Annual unit cost of reactive power compensation (yuan / kvar)

[0084]

[0085] In the formula, I WG is the annual unit cost of reactive power compensation; is the investment cost of reactive power compensation device; T WG is the average life of the reactive power compensation device; is the annual operation and maintenance cost of the reactive power compensation device; ∑Q is the annual reactive power compensation amount.

[0086] 2. Annual unit cost of three-phase unbalance (yuan / kw)

[0087]

[0088] In the formula, I SX is the annual unit cost of three-phase unbalance; is the investment cost of the three-phase unbalanced regulation device; T SX is the average life of the three-phase unbalanced regulation device; is the annual operation and maintenance cost of the three-phase unbalanced regulation device; ΔP is the annual three-phase unbalanced regulation amount.

[0089] 3. Unit cost of electrochemical energy storage (yuan / kVA)

[0090]

[0091] In the formula, I CN is the unit cost of electrochemical energy storage; is the initial investment cost of the electrochemical energy storage device; The battery life decay cost; is the device operation and maintenance cost; S CN Energy storage capacity of the device.

[0092] 4. DG (Distributed Generation) power generation income (yuan)

[0093]

[0094] In the formula, I DG P is the DG power generation income; DG is the DG power generation; is the unit electricity selling price of DG; is the unit power generation cost of DG.

[0095] 5. Line loss improvement income (yuan)

[0096] I L =(P S ' H -P SH )C SD

[0097] In the formula, I L Improvement of line loss profit; P S ' H P is the total loss of the distribution network after the coal-to-electricity project without installing the above-mentioned devices; SH is the total loss of the distribution network after installing the above device; C SD The unit electricity selling price.

[0098] 6. Carbon emission reduction benefits of coal-to-electricity conversion

[0099]

[0100] In the formula, I CO2 Carbon emission reduction benefits of coal-to-electricity conversion; C CO2 is the total CO2 emission of the distribution network before coal-to-electricity conversion; C' CO2 It is the total CO2 emissions of the distribution network after coal-to-electricity conversion.

[0101] (2) Technical indicators

[0102] The technical indicators constructed in the present invention partially follow the standard indicators in existing literature, and at the same time propose some new indicators for coal-to-electricity projects.

[0103] The technical indicators used in existing literature include:

[0104] 1. Distribution line load factor

[0105]

[0106] Where η L is the load rate of the distribution line; S L，max is the load actually connected to the distribution line; S N is the rated capacity of the line.

[0107] 2. Short circuit capacity

[0108]

[0109] In the formula, S dl is the short-circuit capacity; U d is the line voltage before short circuit; I d It is the short-circuit current when three-phase is short-circuited.

[0110] 3. Line loss rate

[0111]

[0112] In the formula, I loss is the line loss rate; P loss is the line loss power; P L Delivers power to the line.

[0113] 4. Power Factor

[0114]

[0115] In the formula, PF is the power factor; P is the active power; S is the apparent power.

[0116] 5. Node voltage deviation rate

[0117]

[0118] Where δ is the node voltage offset rate; V rel is the actual voltage value of the node; V exp is the expected voltage value of the node.

[0119] 6. Harmonic distortion rate

[0120]

[0121] Where, THD is the harmonic distortion rate; M1 is the fundamental component; M i It is the i-th harmonic component, and the highest order is n-th.

[0122] The technical indicators proposed by the present invention for the coal-to-electricity project include:

[0123] 7. Electric heating consumption rate of DG

[0124]

[0125] In the formula, I XN is the consumption rate of DG by electric heating; P DG is the power generation of DG; P H Electric heating load.

[0126] 8. Equipment utilization

[0127]

[0128] Where η ep is the equipment utilization rate; T total The total time the equipment is put into use; T DJ It is the running time of the equipment at rated power.

[0129] 9. Electric heating load ratio

[0130]

[0131] Where, χ is the proportion of electric heating load; L EH is the electric heating load; L CG Normal electrical load.

[0132] 3. Evaluation method based on the evaluation index system of coal-to-electricity conversion

[0133] The present invention adopts the analytic hierarchy process (AHP) and the objective weighting method (CRITIC) to combine and weight the above indicators, uses the analytic hierarchy process for subjective weighting, uses the objective weighting method for objective weighting, and then performs weighted average of the two weighting results to obtain the final weight.

[0134] AHP is a multi-criteria decision-making method used to determine the weights of various elements in multiple hierarchical structures. This method hierarchizes the problem and decomposes complex decision problems into a series of hierarchical structures, including the target layer, the criterion layer, and the factor layer. At each level, decision makers need to compare the relative importance of different factors and quantify these comparisons using paired comparisons. These comparisons form a matrix, and then the final weights are calculated through specific mathematical operations to obtain the best decision solution.

[0135] The hierarchical indexes constructed by the present invention are shown in Table 1:

[0136]

[0137]

[0138] Table 1 AHP ​​hierarchy for coal-to-electricity project evaluation

[0139] The detailed steps of AHP subjective weighting are as follows:

[0140] Step 1: Construct a judgment matrix

[0141] Construct the following judgment matrix:

[0142]

[0143] Among them, A is the judgment matrix, a ij It indicates the importance of the ith indicator relative to the jth indicator. The importance of the indicator is determined based on the opinions of experts and the experience of decision makers. The importance is given by Santy's 1-9 scale method, as shown in Table 2:

[0144]

[0145] Table 2 Scale importance

[0146] For the criterion layer, there are only two indicators, technical and economic, so the judgment matrix is ​​of order 2; for the factor layer, there are 15 indicators, so the judgment matrix is ​​of order 15.

[0147] Step 2: Consistency check

[0148] After obtaining the judgment matrix, calculate the maximum eigenvalue λ of the judgment matrix max , when λ max =n, the judgment matrix satisfies the consistency test, when λ max ≠n, λ max It must be greater than n to perform consistency check according to the corresponding value. The check steps are as follows:

[0149] (I) Calculate the consistency index first:

[0150]

[0151] In the formula, CI is the consistency index, λ max >n, where n is the order of the judgment matrix.

[0152] (II) Calculate the consistency ratio:

[0153]

[0154] In the formula, CR is the consistency ratio, RI is the average random consistency index, which can be obtained by looking up the table, and its value changes with the order of the judgment matrix.

[0155] If CR<0.1, the consistency test passes, otherwise the judgment matrix needs to be adjusted.

[0156] Step 3: Calculate the weight of each indicator at this level

[0157] If the consistency check passes, calculate λ max The corresponding characteristic phasor is then normalized to obtain the weighted phasor of each index:

[0158] W AHP =(ω1,ω2,…ω n )

[0159] Where W AHPis the subjective weight of the indicator, ω n is the weight of the nth indicator, corresponding to I WG ,I SX And other indicators.

[0160] The CRITIC method is an objective weighting method that comprehensively measures the objective weight of indicators based on the comparative strength of evaluation indicators and the conflict between indicators. It takes into account the variability of indicators while taking into account the correlation between indicators. The larger the number, the more important it is. It fully utilizes the objective attributes of the data itself for scientific evaluation.

[0161] The detailed steps of CRITIC objective empowerment are as follows:

[0162] Step 1: Form the original matrix X, assuming n samples, m indicators, x nm is the value of the mth indicator of the nth sample.

[0163]

[0164] Step 2: Dimensionless processing

[0165] For positive indicators (larger values ​​are better):

[0166]

[0167] For negative indicators (smaller values ​​are better):

[0168]

[0169] x i ' j is the element in the matrix after dimensionless processing, x j is the jth index, x max is the maximum value of the indicator in the sample, x min is the minimum value of this indicator in the sample.

[0170] Step 3: Calculate the information carrying capacity

[0171] First calculate the comparison strength of the jth indicator:

[0172]

[0173] Among them, the average value of the elements in the matrix after dimensionless processing θ j is the comparison strength of the j-th indicator.

[0174] Then calculate the indicator conflict:

[0175]

[0176] Among them, R j is the index conflict, r ij is the correlation coefficient between indicators i and j.

[0177] Finally, calculate the information carrying capacity:

[0178] C j =θ j R j

[0179] Among them, C j To calculate the information carrying capacity, C j The larger it is, the greater the role of the jth indicator is, and the greater the assigned weight is.

[0180] Step 4: Calculate weights

[0181]

[0182] Among them, W CRITIC is the objective weight of the indicator.

[0183] Combine the weight results obtained by AHP and CRITIC to assign weights:

[0184] W=αW AHP +(1-α)W CRITIC

[0185] Among them, W is the combined weighting weight, and α is a trade-off parameter between 0 and 1, which is used to balance the importance of subjective and objective weights. If you believe in subjective weights more, α takes a larger value, otherwise it takes a smaller value. After determining the combined weighting weights of each indicator, bring in the data, calculate the comprehensive evaluation score, and evaluate the effectiveness of the distribution network coal-to-electricity project transformation. The calculation formula is as follows:

[0186]

[0187] Among them, T mark is the comprehensive evaluation score, X i is the score of the ith indicator. The indicators are scored based on the experience of experts and decision makers. The total score is 100. The better the indicator value calculated by the data, the higher the score. i Assign weights to the combination of the i-th indicator.

[0188] Embodiment 2:

[0189] A distribution network economic operation evaluation system for coal-to-electricity projects can implement a distribution network economic operation evaluation method for coal-to-electricity projects described in Example 1, including:

[0190] Data receiving module: used to obtain power distribution system indicators;

[0191] Subjective weighting module: used to subjectively weight the distribution system indicators through the hierarchical analysis method to obtain the subjective weight of the indicators;

[0192] Objective weighting module: used to objectively weight the distribution system indicators through the CRITIC method to obtain the objective weights of the indicators;

[0193] Evaluation and calculation module: After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

[0194] Embodiment three:

[0195] The embodiment of the present invention further provides a distribution network economic operation evaluation device for coal-to-electricity projects, which can implement a distribution network economic operation evaluation method for coal-to-electricity projects described in the first embodiment, including a processor and a storage medium;

[0196] The storage medium is used to store instructions;

[0197] The processor is used to operate according to the instructions to perform the steps of the following method:

[0198] Obtain distribution system indicators;

[0199] The subjective weights of distribution system indicators are obtained by subjectively assigning weights to indicators through the analytic hierarchy process.

[0200] The distribution system indicators are objectively weighted by the CRITIC method to obtain the objective weights of the indicators;

[0201] After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

[0202] Embodiment 4:

[0203] The embodiment of the present invention further provides a computer-readable storage medium, which can implement the distribution network economic operation evaluation method for coal-to-electricity projects described in the first embodiment, and a computer program is stored thereon, and when the program is executed by a processor, the steps of the following method are implemented:

[0204] Obtain distribution system indicators;

[0205] The subjective weights of distribution system indicators are obtained by subjectively assigning weights to indicators through the analytic hierarchy process.

[0206] The distribution system indicators are objectively weighted by the CRITIC method to obtain the objective weights of the indicators;

[0207] After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

[0208] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0209] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0210] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0211] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0212] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0213] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A distribution network economic operation evaluation method for coal-to-electricity projects, characterized by: include: Obtain distribution system indicators; The subjective weights of distribution system indicators are obtained by subjectively assigning weights to indicators through the analytic hierarchy process. The distribution system indicators are objectively weighted by the CRITIC method to obtain the objective weights of the indicators; After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

2. The method for evaluating the economic operation of distribution networks for coal-to-electricity projects according to claim 1 is characterized in that: The distribution system indicators include economic indicators and technical indicators, among which: economic indicators include the annual unit cost of reactive power compensation, the annual unit cost of three-phase imbalance, the unit cost of electrochemical energy storage, DG power generation income, line loss improvement income and coal-to-electricity carbon emission reduction benefits; technical indicators include distribution line load rate, short-circuit capacity, line loss rate, power factor, node voltage deviation rate, harmonic distortion rate, electric heating absorption rate of DG, equipment utilization rate and electric heating load proportion.

3. The method for evaluating the economic operation of distribution networks for coal-to-electricity projects according to claim 1 is characterized in that: The subjective weights of the distribution system indicators are obtained by subjectively assigning weights to the indicators through the hierarchical analysis method, including: Construct a judgment matrix based on distribution system indicators: Conduct consistency check on the judgment matrix; In response to the judgment matrix not satisfying the consistency check, adjusting the judgment matrix and re-performing the consistency check; In response to the judgment matrix satisfying the consistency check, the subjective weight of the indicator is calculated.

4. The method for evaluating the economic operation of distribution networks for coal-to-electricity projects according to claim 3 is characterized in that: Perform consistency check on the judgment matrix, including: Calculate the maximum eigenvalue of the judgment matrix; In response to the maximum eigenvalue being equal to the order of the judgment matrix, the judgment matrix satisfies the consistency test; In response to the maximum eigenvalue being less than the order of the judgment matrix, the judgment matrix is ​​adjusted and the consistency check is performed again; In response to the maximum eigenvalue being greater than the order of the judgment matrix, the consistency index is calculated based on the maximum eigenvalue, and then the consistency ratio is calculated based on the consistency index. In response to the consistency ratio being less than 0.1, the consistency test passes. Otherwise, the judgment matrix is ​​adjusted and the consistency test is performed again. The calculation formula is: In the formula, CI is the consistency index, λ max is the maximum eigenvalue, n is the order of the judgment matrix, CR is the consistency ratio, and RI is the average random consistency index; In response to the judgment matrix satisfying the consistency check, the subjective weight of the indicator is calculated, including: calculating the characteristic phasor corresponding to the maximum eigenvalue of the judgment matrix, and then normalizing the characteristic phasor to obtain the subjective weight of the indicator, the expression is: W AHP =(ω1,ω2,…ω n ) Where W AHP is the subjective weight of the indicator, ω n is the weight of the nth indicator.

5. The method for evaluating the economic operation of distribution networks for coal-to-electricity projects according to claim 1 is characterized in that: The distribution system indicators are objectively weighted by the CRITIC method to obtain objective weights of the indicators, including: forming an original matrix based on the distribution system indicators; Non-dimensionalize the elements in the original matrix; Calculate the information carrying capacity of the elements in the original matrix after dimensionless processing; Calculate the objective weight of indicators based on information carrying capacity.

6. The method for evaluating the economic operation of distribution networks for coal-to-electricity projects according to claim 5 is characterized in that: The elements in the original matrix are dimensionless, including: For positive indicators: For negative indicators: Among them, x i ' j is the element in the matrix after dimensionless processing, x j is the jth index, x max is the maximum value of the indicator in the sample, x min is the minimum value of the indicator in the sample; Calculate the information carrying capacity of the elements in the original matrix after dimensionless processing, including: after calculating the contrast intensity and indicator conflict of the j-th indicator, calculate the information carrying capacity based on the contrast intensity and indicator conflict, and the calculation formula is: C j =θ j R j Among them, θ j is the comparison strength of the jth indicator, the average value of the elements in the matrix after dimensionless processing m is the number of indicators; R j is the index conflict, r ij is the correlation coefficient between indicators i and j; C j To calculate the information carrying capacity; The objective weight of the indicator is calculated based on the information carrying capacity. The calculation formula is: Among them, W CRITIC is the objective weight of the indicator.

7. The method for evaluating the economic operation of distribution network for coal-to-electricity projects according to claim 1 is characterized in that: After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project transformation is calculated. The calculation formula is: W=αW AHP +(1-α)W CRITIC Among them, W is the combined weight, α is a trade-off parameter between 0 and 1, and W AHP is the subjective weight of the indicator, W CRITIC is the objective weight of the indicator; T mark is the comprehensive evaluation score, X i is the score of the ith indicator, W i Assign weights to the combination of the i-th indicator.

8. A distribution network economic operation evaluation system for coal-to-electricity projects, characterized by: include: Data receiving module: used to obtain power distribution system indicators; Subjective weighting module: used to subjectively weight the distribution system indicators through the hierarchical analysis method to obtain the subjective weight of the indicators; Objective weighting module: used to objectively weight the distribution system indicators through the CRITIC method to obtain the objective weights of the indicators; Evaluation and calculation module: After combining and weighting the subjective weights and objective weights of the indicators, the comprehensive evaluation score of the distribution network after the coal-to-electricity project is calculated to evaluate the effectiveness of the transformation.

9. A distribution network economic operation evaluation device for coal-to-electricity projects, characterized in that: including processor and storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

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

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