Identification method of power grid business operation key elements

Abstract

The invention relates to a power grid business operation key element identification method comprising the following steps: 1, collecting and sorting elements influencing power grid business operation based on five stages of power grid business operation, and preliminarily forming a power grid business operation element set; step 2, classifying, sorting and screening the collected elements based on five characteristics of the novel power system to form a power grid business operation key element set; and step 3, determining the weight of each key element by using a two-stage weighting mode to obtain a key element identification result. According to the method, the weights of the key elements can be more accurate and objective, and the influence degree of each key element on power grid business operation can be reflected more accurately.

Description

Technical Field

[0001] The present invention belongs to the technical field of key influencing factor identification, and relates to a key factor identification method, in particular to a key factor identification method for power grid business operation. Background Art

[0002] In order to achieve efficient operation of power grid business, it is necessary to deeply understand and identify the key factors that affect the operation of power grid business in the new power system, so as to formulate effective business strategies and management plans.

[0003] At present, the main method for identifying key elements of power grid business operation is to determine the weights using the analytic hierarchy process. The process is relatively simple and very practical when data is scarce. However, the analytic hierarchy process is extremely dependent on the subjective judgment of experts, and the calculation results are not very objective. In addition, when selecting key elements, the existing methods do not screen the elements, causing some elements to be out of touch with reality, reducing the accuracy and precision of the identification method.

[0004] After searching, no public documents of the prior art that are identical or similar to the present invention were found. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and to propose a method for identifying key elements of power grid business operations, which can solve the technical problem of improving the accuracy of key element identification.

[0006] The present invention solves the practical problem by adopting the following technical solutions:

[0007] A method for identifying key elements of power grid business operation includes the following steps:

[0008] Step 1: Based on the five stages of power grid business operation, collect and organize the factors that affect power grid business operation, and initially form a set of power grid business operation factors;

[0009] Step 2: Based on the five characteristics of the new power system, the collected elements are classified, sorted and screened to form a set of key elements for power grid business operations;

[0010] Step 3: Use the two-stage weighting method to determine the weight of each key factor and obtain the key factor identification result.

[0011] Moreover, the specific method of step 1 is:

[0012] Based on the five major stages of grid business operation, namely planning, construction, operation, maintenance and marketing, the factors that affect the efficient operation of grid business in the five stages are collected, and the factor information is sorted out to initially form a grid business operation factor set;

[0013] Moreover, the specific method of step 2 is:

[0014] According to the selection principles of the key element set, duplicate elements are eliminated, the key elements of power grid business operations are determined, and the key elements are classified according to the five major characteristics of the new power system, namely clean and low-carbon, safe and sufficient, economical and efficient, supply and demand coordination, and flexible and intelligent, to form the final set of key elements for power grid business operations.

[0015] Moreover, the specific steps of step 3 include:

[0016] (1) Use the analytic hierarchy process to initially assign weights to each key factor:

[0017] 1) Construct a judgment matrix

[0018] A questionnaire on the weights of key elements for efficient operation of power grid business was designed, and experts were invited to conduct comparative analysis on the importance of key elements, evaluate the importance of each element, and compare the importance of each element according to five levels: 1, 2, 3, 4, and 5. The importance comparison results of each element were constructed into an element importance determination matrix A = [a ij ], and finally find the eigenvectors and maximum eigenvalues ​​λ of each matrix max ;

[0019] 2) Calculate the weight vector

[0020] After obtaining the experts' evaluation of the relative importance of each pair of key elements, the importance of each level of elements is calculated, and the importance evaluation values ​​between each pair of elements are normalized, and the weight of each element is estimated accordingly;

[0021] 3)Consistency check

[0022] ① Calculate the key elements of consistency of the judgment matrix:

[0023] ② Find the consistency ratio of the judgment matrix: CR

[0024]

[0025] where λ max For the judgment matrix A = [a ij ] is the maximum eigenvalue, RI is the average random consistency factor; finally, if the CR value calculated according to formulas (1) and (2) satisfies CR<0.1, it means that the judgment matrix has passed the consistency test, otherwise the judgment matrix needs to be adjusted until the judgment matrix passes the consistency test.

[0026] (2) Use the entropy weight method to correct the weights obtained from the initial weighting:

[0027] 1) Normalize the judgment matrix as shown below:

[0028]

[0029] 2) Calculate the entropy value of the jth element as shown below:

[0030]

[0031] Where k>0, e j ≥0.

[0032] 3) Define the coefficient of variation as shown below:

[0033] g j =1-e j (5)

[0034] 4) Define the information weight coefficient of the factor, as shown in the following formula:

[0035]

[0036] 5) Calculate the correction weight coefficient as shown below:

[0037]

[0038] Advantages and beneficial effects of the present invention:

[0039] 1. The present invention proposes a method for identifying key elements for efficient operation of power grid business. Based on the five major characteristics of the new power system, it collects and screens key elements affecting the operation of power grid business, such as the clean energy power generation utilization rate and the proportion of clean energy power generation on the power generation side. It is more suitable for the identification of key elements of power grid business operation under the background of the new power system.

[0040] 2. The present invention adopts a two-stage weighting method, namely, a combination of the initial weighting of the analytic hierarchy process and the revised weighting of the entropy weight method, so that the weights of the key factors are more precise and objective, and can more accurately reflect the impact of each key factor on the operation of the power grid business. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of the method for identifying key elements of power grid business operation provided by the present invention. DETAILED DESCRIPTION

[0043] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0044] A method for identifying key elements of power grid business operations, such as Figure 1 As shown, the following steps are included:

[0045] Step 1: Based on the five stages of power grid business operation, collect and organize the factors that affect power grid business operation, and initially form a set of power grid business operation factors;

[0046] The specific method of step 1 is:

[0047] Based on the five stages of power grid business operation, namely planning, construction, operation, maintenance and marketing, references and expert suggestions, we widely collected the factors that affect the efficient operation of power grid business in the five stages, sorted out the factor information, and initially formed a set of power grid business operation factors, as shown in Table 1.

[0048] Table 1 Preliminary elements of power grid business operation

[0049]

[0050]

[0051] Step 2: Based on the five characteristics of the new power system, the collected elements are classified, sorted and screened to form a set of key elements for power grid business operations;

[0052] The specific method of step 2 is:

[0053] Determine the selection principles of the key factor set and eliminate duplicate factors, invite experts to score the relevant factors, determine the key factors according to the scoring results, and classify the key factors according to the five characteristics of the new power system, namely clean and low-carbon, safe and sufficient, economical and efficient, supply and demand coordination, and flexible and intelligent, to form the final set of key factors for power grid business operations.

[0054] Step 3: Use the two-stage weighting method to determine the weight of each key factor and obtain the key factor identification result;

[0055] The specific steps of step 3 include:

[0056] After the key element set for efficient operation of power grid business is constructed, the weight of each key element needs to be determined. In the research of this patent, the comprehensive analysis method of two-stage weighting will be fully utilized for research. The initial weighting adopts the hierarchical analysis method, and the second weighting adopts the entropy weight method to correct the results of the hierarchical analysis, and finally obtain the key element identification results. The specific process is as follows:

[0057] (1) Use the analytic hierarchy process to initially assign weights to each key factor;

[0058] The specific steps of step (1) of step 3 include:

[0059] 1) Construct a judgment matrix

[0060] A questionnaire on the weights of key elements for efficient operation of power grid business was designed, and experts were invited to conduct comparative analysis on the importance of key elements, evaluate the importance of each element, and compare the importance of each element according to five levels: 1, 2, 3, 4, and 5. The importance comparison results of each element were constructed into an element importance determination matrix A = [a ij ], and finally find the eigenvectors and maximum eigenvalues ​​λ of each matrix max .

[0061] The evaluation results of the importance of the two factors are shown in Table 2.

[0062] Table 2 Evaluation criteria

[0063]

[0064] 2) Calculate the weight vector

[0065] After obtaining experts' evaluation of the relative importance of each pair of key factors through a questionnaire survey, the importance of factors at all levels is calculated. At the same time, in order to enhance the comparability of factor importance, the importance evaluation values ​​between each pair of factors are normalized, and the weight of each factor is estimated accordingly.

[0066] 3)Consistency check

[0067] As before, the weights of each key factor obtained through the questionnaire survey method are determined subjectively by experts. When there are many factors, it is necessary to test the judgment matrix and the consistency of the judgment matrix.

[0068] The consistency test process of the judgment matrix is ​​as follows.

[0069] ① Calculate the key elements of consistency of the judgment matrix:

[0070] ② Find the consistency ratio of the judgment matrix: CR

[0071]

[0072] where λ max For the judgment matrix A = [a ij ] maximum eigenvalue, RI is the average random consistency factor, and its specific content is shown in Table 3.

[0073] Table 3 Average random consistency elements

[0074]

[0075] Finally, if the CR value calculated according to formulas (1) and (2) satisfies CR < 0.1, it indicates that the judgment matrix passes the consistency test. Otherwise, the judgment matrix needs to be adjusted until the judgment matrix passes the consistency test.

[0076] (2) Use the entropy weight method to correct the weights obtained from the initial weighting:

[0077] 1) Normalize the judgment matrix as shown below:

[0078]

[0079] 2) Calculate the entropy value of the jth element as shown below:

[0080]

[0081] Where k>0, e j ≥0.

[0082] 3) Define the coefficient of variation as shown below:

[0083] g j =1-e j (5)

[0084] 4) Define the information weight coefficient of the factor, as shown in the following formula:

[0085]

[0086] 5) Calculate the correction weight coefficient as shown below:

[0087]

[0088] The present invention is further described below in conjunction with specific examples:

[0089] Taking a certain power grid company as an example, this method is used to identify the key factors affecting the power grid business operations of the power grid company under the influence of the new power system.

[0090] (1) First, referring to relevant literature and combining the advice of experts, we collected and summarized the influencing factors according to the five stages of power grid business operation, namely planning, construction, operation, maintenance and marketing, and initially formed a set of power grid business operation factors. Due to space limitations, some of the factors are shown in Table 4.

[0091] Table 4 Preliminary elements of power grid business operation

[0092]

[0093]

[0094] Organize the preliminary element set and determine the key element selection principles

[0095] The collected elements are sorted and duplicate elements are removed. At the same time, the selection principles of key elements are determined. The sorted element set is given to experts for scoring. Experts score each indicator based on the selection principles and experience, with a scoring standard of 1-5. The elements are then sorted according to the total score, and the elements with low scores are removed. Finally, a set of key elements for power grid business operations is formed, and they are classified according to the five major characteristics of the new power system, as shown in Table 5.

[0096] Table 5 Key element set

[0097]

[0098]

[0099] After determining the key element set for efficient operation of power grid business, the element weights are determined using a two-stage weighting method.

[0100] The analytic hierarchy process was used for the initial empowerment, and 20 domestic experts in the field of new power systems were selected to evaluate the relative importance of key factors for efficient operation of power grid business. The results are shown in Tables 6-11.

[0101] Table 6 Initial weighting of characteristic layer element weights

[0102]

[0103] Table 7 Initial weighting of clean and low-carbon elements

[0104]

[0105] Table 8 Initial weighting of safety adequacy factors

[0106]

[0107] Table 9 Weights of economic efficiency factors assigned initially

[0108]

[0109] Table 10 Initial weighting of supply and demand synergy factors

[0110]

[0111] Table 11 Weights of flexible intelligent elements assigned initially

[0112]

[0113]

[0114] The weights are then corrected. The entropy weight method is used to correct the weights assigned initially, and the correction results are shown in Table 12.

[0115] Table 12 Results of correcting factor weights using entropy weight method

[0116] elements Information entropy value e Information utility value d Weight coefficient w A 0.769 0.231 0.2255 B 0.8802 0.1198 0.1169 C 0.7983 0.2017 0.1969 D 0.6516 0.3484 0.3400 E 0.8763 0.1237 0.1207 A1 0.938 0.062 0.1532 A2 0.9183 0.0817 0.2020 A3 0.8628 0.1372 0.3391 A4 0.8764 0.1236 0.3057 B1 0.9183 0.0817 0.1797 B2 0.9528 0.0472 0.1038 B3 0.932 0.068 0.1496 B4 0.875 0.125 0.2749 B5 0.8673 0.1327 0.2920 C1 0.961 0.039 0.0747 C2 0.7671 0.2329 0.4459 C3 0.8691 0.1309 0.2506 C4 0.8805 0.1195 0.2288 D1 0.9602 0.0398 0.1928 D2 0.9129 0.0871 0.4224 D3 0.9206 0.0794 0.3848 E1 0.875 0.125 0.3165 E2 0.938 0.062 0.1569 E3 0.8392 0.1608 0.4071 E4 0.9528 0.0472 0.1195

[0117] Finally, the results of using this method to identify the key factors affecting the grid business operations of a certain power grid company under the background of the new power system are shown in Table 13.

[0118] Table 13 Weights of evaluation indicators for efficient operation of power grid business

[0119]

[0120]

[0121] Based on the identification method of the key elements of power grid business operation provided by the present invention, repeated or redundant elements can be effectively avoided through screening. For example, when selecting the clean and low-carbon characteristic elements in the example, the wind abandonment rate, the solar abandonment rate and other elements are eliminated, and the clean energy power generation utilization rate element is retained, making the method more concise, low in redundancy, and improved in operability. In addition, the identification method uses a combination of the initial weighting of the hierarchical analysis method and the modified weighting of the entropy weight method, which effectively improves the accuracy and objectivity of the identification results and is more suitable for objective conditions.

[0122] It should be emphasized that the embodiments described in the present invention are illustrative rather than restrictive. Therefore, the present invention includes but is not limited to the embodiments described in the specific implementation manner. Any other implementation manners derived by those skilled in the art based on the technical solution of the present invention also fall within the scope of protection of the present invention.

Claims

1. A method for identifying key elements of power grid business operations, characterized by: The following steps are involved: Step 1: Based on the five stages of power grid business operation, collect and organize the factors that affect power grid business operation, and initially form a set of power grid business operation factors; Step 2: Based on the five characteristics of the new power system, the collected elements are classified, sorted and screened to form a set of key elements for power grid business operations; Step 3: Use the two-stage weighting method to determine the weight of each key factor and obtain the key factor identification result.

2. A method for identifying key elements of power grid business operations according to claim 1, characterized in that: The specific method of step 1 is: Based on the five stages of planning, construction, operation, maintenance and marketing of power grid business operations, we collect factors that affect the efficient operation of power grid business in the five stages, organize the factor information, and preliminarily form a set of power grid business operation factors.

3. The method for identifying key elements of power grid business operation according to claim 1, characterized in that: The specific method of step 2 is: According to the selection principles of the key element set, duplicate elements are eliminated, the key elements of power grid business operations are determined, and the key elements are classified according to the five major characteristics of the new power system, namely clean and low-carbon, safe and sufficient, economical and efficient, supply and demand coordination, and flexible and intelligent, to form the final set of key elements for power grid business operations.

4. The method for identifying key elements of power grid business operation according to claim 1, characterized in that: The specific steps of step 3 include: (1) Use the analytic hierarchy process to initially assign weights to each key factor: 1) Construct judgment matrix A questionnaire on the weights of key elements for efficient operation of power grid business was designed, and experts were invited to conduct comparative analysis on the importance of key elements, evaluate the importance of each element, and compare the importance of each element according to five levels: 1, 2, 3, 4, and 5. The importance comparison results of each element were constructed into an element importance determination matrix A = [a ij ], and finally find the eigenvectors and maximum eigenvalues ​​λ of each matrix max ; 2) Calculate the weight vector After obtaining the experts' evaluation of the relative importance of each pair of key elements, the importance of each level of elements is calculated, and the importance evaluation values ​​between each pair of elements are normalized, and the weight of each element is estimated accordingly; 3)Consistency check ① Calculate the key elements of consistency of the judgment matrix: ② Find the consistency ratio of the judgment matrix: CR where λ max For the judgment matrix A = [a ij ] is the maximum eigenvalue, RI is the average random consistency factor; finally, if the CR value calculated according to formulas (1) and (2) satisfies CR<0.1, it means that the judgment matrix has passed the consistency test, otherwise the judgment matrix needs to be adjusted until the judgment matrix passes the consistency test. (2) Use the entropy weight method to correct the weights obtained from the initial weighting: 1) Normalize the judgment matrix as shown below: 2) Calculate the entropy value of the jth element as shown below: Where k>0, e j ≥0. 3) Define the coefficient of variation as shown below: g j =1-e j (5) 4) Define the information weight coefficient of the factor, as shown in the following formula: 5) Calculate the correction weight coefficient as shown below:

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