Novel electric power system technical standard system construction utility evaluation method and novel electric power system technical standard system construction utility evaluation system

Abstract

The invention relates to a novel electric power system technical standard system construction utility evaluation method and system, and the method comprises the following steps: obtaining the demands of a novel electric power system for technical standards as evaluation indexes, and obtaining an evaluation factor set; determining an evaluation comment set according to the evaluation standard of each evaluation index; determining the weight of each evaluation index by using an analytic hierarchy process; performing actual judgment on the novel power system, and determining a fuzzy relation matrix between the evaluation factor set and the evaluation comment set according to an actual judgment result; calculating a weight vector and a fuzzy comprehensive evaluation matrix by using fuzzy multiplication to obtain a fuzzy evaluation matrix; and assigning the evaluation grade, calculating a final score of the novel power system by adopting a weighted average method, and evaluating the construction effectiveness of the technical standard system of the novel power system according to the score. Compared with the prior art, the method integrates multiple methods for evaluation, so that the evaluation result is more comprehensive and objective.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and system for evaluating the effectiveness of constructing a new power system technical standard system. Background Art

[0002] Standards are the technical support for economic activities and social development, and are an important aspect of the country's basic system. In the new era, promoting high-quality development urgently requires further strengthening of standardization. With the acceleration of the "carbon peak and carbon neutrality" process, the energy system is facing transformation and transformation, showing a trend of accelerating clean energy production, highly electrified energy consumption, increasingly platform-based energy allocation, and increasingly efficient energy utilization.

[0003] In recent years, with the development of the economy and the needs of production and life, the demand for electricity in the whole society has also increased. Looking back over the past decade, my country's total installed capacity, power generation and electricity consumption have maintained a trend of sustained growth. In terms of power structure, my country's power installed capacity is still dominated by thermal power, and clean energy such as hydropower, nuclear power, and wind power accounts for a relatively small proportion. However, in recent years, with the development and application of renewable energy, the proportion of non-fossil energy installed capacity has increased year by year, and the power installed capacity structure has shown an increasingly obvious green and low-carbon development trend.

[0004] The new power system technical standard system is constructed based on the principles of systematicity, coordination, openness and expansibility. It is modularized according to the professional technology of the new power system, and highlights key technical directions such as new energy, energy storage, microgrids, and digitalization, forming a multi-branch, multi-field, and multi-series system framework. However, there is currently a lack of scientific evaluation methods for the effectiveness of the construction of the new power system technical standard system. It is very necessary and urgent to carry out research on the effectiveness evaluation technology and system to provide decision-making support for the company to achieve closed-loop management of standardization work and to provide technical support for further optimizing and improving the new power system technical standard system. Summary of the invention

[0005] The purpose of the present invention is to provide a new type of power system technical standard system construction effectiveness evaluation method and system, to provide technical methods and means for the evaluation of new power systems, so that the evaluation results are more comprehensive and objective.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A new power system technical standard system construction utility evaluation method, the method comprising:

[0008] Obtain the requirements of the new power system for technical standards as the evaluation indicators of the new power system, and obtain the evaluation factor set after screening;

[0009] Determine the evaluation comment set according to the evaluation criteria of each evaluation indicator;

[0010] Use the analytic hierarchy process to determine the weight of each evaluation index;

[0011] Conduct actual evaluation on the new power system and determine the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set based on the actual evaluation results;

[0012] The fuzzy multiplication operation is used to complete the calculation of the weight vector and the fuzzy comprehensive evaluation matrix to obtain the fuzzy evaluation matrix;

[0013] The evaluation grades are assigned and the final score of the new power system is calculated using the weighted average method. The effectiveness of constructing the technical standard system for the new power system is evaluated based on the score.

[0014] Furthermore, the screening includes:

[0015] Quantitatively simplify and repeat the requirements of technical standards to ensure that each evaluation indicator has data independence;

[0016] Factor analysis and variance in statistics are used to indicate the information content of the evaluation indicators in the evaluated object, to further determine the contribution of the indicators to the entire evaluation method, and to test the rationality of the evaluation indicators.

[0017] Furthermore, the evaluation factor set is:

[0018] V={v1,v2,…,v n},

[0019] Among them, b n is the evaluation index;

[0020] The evaluation review set is:

[0021] A=(a1,a2,…,a i ),

[0022] where a i is the weight of the i-th factor, satisfying

[0023] Furthermore, it is characterized in that the analytic hierarchy process comprises:

[0024] Establish a hierarchical structure of evaluation indicators, decompose each evaluation indicator into at least one level from top to bottom according to the indicator attributes, and the factors in the same level are subordinate to the factors in the upper level, and at the same time dominate the factors in the lower level;

[0025] Construct a judgment matrix, starting from the second level of the hierarchy, and use the paired comparison method to construct a paired comparison matrix for the factors of the same level that belong to each factor of the previous level, until the lowest level;

[0026] By performing eigenvector analysis on the judgment matrix, the weight vector of each layer is calculated;

[0027] A consistency check is performed on the single-layer weight subset. Once the check passes, a consistency check is performed on the total weight layer. Once the check passes, the indicator weights of the evaluation indicators can be obtained.

[0028] Furthermore, the actual evaluation includes:

[0029] Evaluation of the degree of unified planning of new power systems;

[0030] Evaluation of the matching degree between the planning and design of new power systems and access to new energy sources;

[0031] Evaluation of the flexibility of grid connection, networking and access management between new energy networks and traditional energy networks in new power systems;

[0032] Evaluation of the safety level of new power systems;

[0033] Judging the cleanliness of new power systems.

[0034] Furthermore, the fuzzy relationship matrix is:

[0035]

[0036] Among them, r nm is the membership degree of the nth element in the evaluation factor set to the mth element in the evaluation comment set,

[0037] Furthermore, the fuzzy multiplication operation includes:

[0038] The main factor-determined fuzzy multiplication operation is as follows:

[0039] b j =max{(a i ∧r ij )|1≤i≤n}, j=1,2,…,m;

[0040] Weighted average fuzzy multiplication operation, the formula is,

[0041] b j =∑(a i ·r ij ), j = 1, 2, ..., m;

[0042] Among them, b j is the fuzzy judgment result, a i is the weight of the i-th factor, satisfying r ij It is a fuzzy judgment value.

[0043] Furthermore, the fuzzy evaluation matrix is:

[0044] B=(b1,b2,…,b j ),

[0045] Among them, b j It is a fuzzy judgment result.

[0046] Furthermore, the calculation formula for the final score of the power system is:

[0047] V i =(s1,s2,…,s m ),

[0048] S=b1·s1+b2·s2+…+b m ·s m ,

[0049] Among them, m is the total number of evaluation indicators, s m is the value assigned to the evaluation level, b m It is a fuzzy judgment result.

[0050] A novel power system technical standard system construction utility evaluation system, the system comprising:

[0051] The demand statistics module is used to obtain the demand for technical standards of the new power system as evaluation indicators, the evaluation criteria of each evaluation indicator and the weight of each evaluation indicator, and to organize the obtained data to obtain an evaluation factor set, an evaluation comment set and an evaluation weight set;

[0052] The actual evaluation module conducts actual evaluation on the new power system and determines the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set based on the evaluation results;

[0053] The final evaluation module uses fuzzy multiplication operations to complete the calculation of weight vectors and fuzzy comprehensive evaluation matrices, obtains the fuzzy evaluation matrix, assigns evaluation grades, and uses the weighted average method to calculate the final score of the new power system. Based on the score, the effectiveness of constructing the new power system technical standard system is evaluated.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. The present invention first designs and constructs an evaluation factor set, screens the evaluation indicators, and ensures that the evaluation indicators are not missed or double-selected; then the complex new power system is decomposed into several levels, considering both qualitative and quantitative factors, so that the system evaluation structure is clear, the logic is rigorous and has strong robustness; at the same time, by processing fuzzy evaluation objects through precise digital means, a scientific, reasonable and practical quantitative evaluation can be made for data with fuzzy information. The two methods are combined to form a complementary relationship, which can not only effectively deal with complex decision-making problems and improve evaluation efficiency, but also make a quantitative overall judgment on the evaluation object, and provide a more scientific and comprehensive evaluation result; finally, the obtained evaluation result is a clear numerical value, which is easy to understand and apply, so that users can understand the overall status of the system more clearly, and provide strong support for system improvement.

[0056] 2. The present invention evaluates the new power system from multiple aspects, comprehensively considers the differences between the new power system and the traditional power system, and proposes an evaluation method for the new power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of the method of the present invention;

[0058] Figure 2 It is the flow chart of the hierarchical analysis method of the present invention. DETAILED DESCRIPTION

[0059] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0060] Example 1

[0061] This embodiment discloses a new method for evaluating the effectiveness of constructing a power system technical standard system. Figure 1 As shown, the method includes:

[0062] Step S1, obtaining the demand for technical standards of the new power system as evaluation indicators, the evaluation criteria of each evaluation indicator and the weight of each evaluation indicator, and sorting the obtained data to obtain an evaluation factor set, an evaluation comment set and an evaluation weight set;

[0063] Step S2, performing actual evaluation on the new power system, and determining the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set according to the evaluation results;

[0064] Step S3, use fuzzy multiplication operation to complete the calculation of weight vector and fuzzy comprehensive evaluation matrix, obtain the fuzzy evaluation matrix, assign evaluation grades, use weighted average method to calculate the final score of the new power system, and evaluate the effectiveness of constructing the new power system technical standard system based on the score.

[0065] Furthermore, the requirements for technical standards of the new power system include: the new power system can be planned in a unified manner; the planning and design of the new power system matches the access to new energy; the grid connection, networking and access management operations between the new power system's new energy network and the traditional energy network are flexible enough; the safety and energy cleanliness of the new power system are guaranteed.

[0066] Furthermore, the demand for technical standards of the new power system is obtained as evaluation indicators through investigation and research methods, expert consultation methods and theoretical analysis methods. During the acquisition process, the demand for technical standards needs to be screened.

[0067] Indicator screening is to quantitatively simplify and repeat the indicator system to ensure the data independence of each indicator. The screened indicator system needs to use factor analysis and variance in statistics to indicate the information content of the indicator in the object being evaluated, further determine the contribution of the indicator to the entire comprehensive evaluation system, and test the rationality of the indicator.

[0068] On the basis of constructing the index system, the corresponding quantitative method is selected according to the characteristics of each index to complete the homogenization of the index. The indicators in the evaluation index system are generally non-homogeneous, and the dimensions of the actual numerical values ​​of the indicators and the nature of the indicators are often inconsistent. There may be both benefit-oriented indicators and cost-oriented indicators in the evaluation index system. Therefore, it is necessary to homogenize the indicators, that is, to select corresponding quantitative methods for different indicators. Usually, the indicator processing includes dimensionless processing of indicators and homogenization processing based on the maximum distance method, minimum distance method, ideal point method, etc.

[0069] Furthermore, the weights of each evaluation index are determined by analytic hierarchy process, such as Figure 2 As shown, the specific steps are as follows:

[0070] 1. Establish an index hierarchy structure. By analyzing the actual situation of the new power system, each evaluation index is decomposed into several levels from top to bottom according to different attributes. The factors in the same layer are subordinate to the factors in the upper layer or have an impact on the factors in the upper layer. At the same time, they dominate the factors in the lower layer or are affected by the factors in the lower layer. The top layer is the target layer, which usually has only one factor. The bottom layer is usually the scheme or object layer. There can be one or several levels in the middle, which are usually the criteria or indicator layer. When there are too many criteria (such as more than 9), they should be further decomposed into sub-criteria layers;

[0071] 2. Construct a judgment matrix. Starting from the second level of the hierarchical model, for the factors of the same level that are subordinate to (or affect) each factor of the previous level, use the paired comparison method to construct a paired comparison matrix until the lowest level. The specific method is to compare the values ​​a obtained by comparing different factors pairwise. ij Filling in the positions of row i and column j of the matrix, the so-called pairwise comparison matrix is ​​constructed, and all the diagonals are 1. Table 1 below shows the meaning of the scale;

[0072] Table 1 Meaning of scales

[0073]

[0074] 3. By performing eigenvector analysis on the judgment matrix, the weight vector of each layer can be calculated. First, a consistency check is performed on the single-layer weight subset. After passing the check, a consistency check is performed on the total weight layer. After passing the check, the indicator weights of the total set of evaluation indicators can be obtained.

[0075] Furthermore, the actual evaluation process of the new power system includes:

[0076] Scoring the degree of unified planning of the new power system. Unified planning helps optimize resource allocation, flexibly adjust resources, strengthen the coordinated development of the power system, and achieve efficient operation and sustainable development of the power system.

[0077] Score the planning and design degree of the new power system. The new power system has a high proportion of new energy access. The new power system technical standard system also needs to strengthen the planning and design of new energy accordingly, promote the development and application of clean energy, and formulate corresponding dispatching and management strategies for the volatility and intermittency of new energy, ensure the reliability of power supply, improve the utilization efficiency of new energy, and promote the progress and improvement of new energy technology;

[0078] Scoring the management of grid connection, networking and access of new power systems. Since new energy sources have low anti-interference and weak support, to build a new power system, it is necessary to coordinate power supply and energy transformation, promote the optimal combination of coal-fired power and new energy, continuously improve the system's balance and regulation capabilities, and promote the large-scale development and utilization of clean energy on the premise of ensuring supply. This requires not only new energy sources, but also coal-fired power, energy storage and other entities. The system must coordinate and give full play to the advantages of each entity, study planning and make overall arrangements from the overall perspective, so as to enhance the flexibility and efficiency of the power system;

[0079] The new power system is scored for its safety level. It has the characteristics of high proportion of new energy and high proportion of power electronic equipment. The high proportion of new energy and power electronic equipment also poses a challenge to the safe and stable operation of the power grid, and has a negative impact on the power balance ability and the regulation ability of the power grid. It also makes the fault pattern of the power grid more complicated.

[0080] The environmental protection level of new power systems should be scored. The construction of new power systems should promote the application and integration of clean energy, reduce the use of fossil fuels, and reduce carbon emissions.

[0081] Furthermore, the fuzzy relationship matrix is:

[0082]

[0083] Among them, r nm is the membership degree of the nth element in the evaluation factor set to the mth element in the evaluation comment set,

[0084] Furthermore, the fuzzy multiplication operation includes:

[0085] The main factor-determined fuzzy multiplication operation is as follows:

[0086] b j =max{(a i ∧r ij )|1≤i≤n}, j=1,2,…,m;

[0087] Weighted average fuzzy multiplication operation, the formula is,

[0088] b j =∑(a i ·r ij ), j = 1, 2, ..., m;

[0089] Among them, b j is the fuzzy judgment result, a i is the weight of the i-th factor, satisfying r ij It is a fuzzy judgment value.

[0090] Furthermore, the fuzzy evaluation matrix is:

[0091] B=(b1,b2,…,b j ),

[0092] Among them, b j It is a fuzzy judgment result.

[0093] Furthermore, the calculation formula for the final score of the power system is:

[0094] V i =(s1,s2,…,s m ),

[0095] S=b1·s1+b2·s2+…+b m ·s m ,

[0096] Among them, m is the total number of evaluation indicators, s m is the value assigned to the evaluation level, b m It is a fuzzy judgment result.

[0097] In summary, the final score of the new power system can be obtained. Users can understand the specific situation of the new power system through the accurate score value and make corresponding corrections for the deficiencies.

[0098] Example 2

[0099] This embodiment discloses a novel power system technical standard system construction utility evaluation system, the system comprising:

[0100] The demand statistics module is used to obtain the demand for technical standards of the new power system as evaluation indicators, the evaluation criteria of each evaluation indicator and the weight of each evaluation indicator, and to organize the obtained data to obtain an evaluation factor set, an evaluation comment set and an evaluation weight set;

[0101] The actual evaluation module conducts actual evaluation on the new power system and determines the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set based on the evaluation results;

[0102] The final evaluation module uses fuzzy multiplication operations to complete the calculation of weight vectors and fuzzy comprehensive evaluation matrices, obtains the fuzzy evaluation matrix, assigns evaluation grades, and uses the weighted average method to calculate the final score of the new power system. Based on the score, the effectiveness of constructing the new power system technical standard system is evaluated.

[0103] Furthermore, the demand statistics module obtains the demand for technical standards of the new power system as evaluation indicators through investigation and research methods, expert consultation methods and theoretical analysis methods. During the acquisition process, the demand for technical standards needs to be screened.

[0104] Indicator screening is to quantitatively simplify and repeat the indicator system to ensure the data independence of each indicator. The screened indicator system needs to use factor analysis and variance in statistics to indicate the information content of the indicator in the object being evaluated, further determine the contribution of the indicator to the entire comprehensive evaluation system, and test the rationality of the indicator.

[0105] On the basis of constructing the index system, the corresponding quantitative method is selected according to the characteristics of each index to complete the homogenization of the index. The indicators in the evaluation index system are generally non-homogeneous, and the dimensions of the actual numerical values ​​of the indicators and the nature of the indicators are often inconsistent. There may be both benefit-oriented indicators and cost-oriented indicators in the evaluation index system. Therefore, it is necessary to homogenize the indicators, that is, to select corresponding quantitative methods for different indicators. Usually, the indicator processing includes dimensionless processing of indicators and homogenization processing based on the maximum distance method, minimum distance method, ideal point method, etc.

[0106] The specific details of the above modules can be understood by referring to the relevant descriptions and effects in Example 1.

[0107] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A new power system technical standard system construction effectiveness evaluation method, characterized in that: The method comprises: Obtain the requirements of the new power system for technical standards as the evaluation indicators of the new power system, and obtain the evaluation factor set after screening; Determine the evaluation comment set according to the evaluation criteria of each evaluation indicator; Use the analytic hierarchy process to determine the weight of each evaluation index; Conduct actual evaluation on the new power system and determine the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set based on the actual evaluation results; The fuzzy multiplication operation is used to complete the calculation of the weight vector and the fuzzy comprehensive evaluation matrix to obtain the fuzzy evaluation matrix; The evaluation grades are assigned and the final score of the new power system is calculated using the weighted average method. The effectiveness of constructing the technical standard system for the new power system is evaluated based on the score.

2. According to claim 1, a new power system technical standard system construction effectiveness evaluation method is characterized by: The screening includes: Quantitatively simplify and repeat the requirements of technical standards to ensure that each evaluation indicator has data independence; Factor analysis and variance in statistics are used to indicate the information content of the evaluation indicators in the evaluated object, to further determine the contribution of the indicators to the entire evaluation method, and to test the rationality of the evaluation indicators.

3. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The evaluation factor set is: B={b1,b2,…,b n }, Among them, b n is the evaluation index; The evaluation review set is: <h2 style=";text-align:left;direction:ltr">A = (a1, a2,…, a)<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ), where a i is the weight of the i-th factor, satisfying 4. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The analytic hierarchy process includes: Establish a hierarchical structure of evaluation indicators, decompose each evaluation indicator into at least one level from top to bottom according to the indicator attributes, and the factors in the same level are subordinate to the factors in the upper level, and at the same time dominate the factors in the lower level; Construct a judgment matrix, starting from the second level of the hierarchy, and use the paired comparison method to construct a paired comparison matrix for the factors of the same level that belong to each factor of the previous level, until the lowest level; By performing eigenvector analysis on the judgment matrix, the weight vector of each layer is calculated; A consistency check is performed on the single-layer weight subset. Once the check passes, a consistency check is performed on the total weight layer. Once the check passes, the indicator weights of the evaluation indicators can be obtained.

5. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The actual assessment includes: Evaluation of the degree of unified planning of new power systems; Evaluation of the matching degree between the planning and design of new power systems and access to new energy sources; Evaluation of the flexibility of grid connection, networking and access management between new energy networks and traditional energy networks in new power systems; Evaluation of the safety level of new power systems; Judging the cleanliness of new power systems.

6. The method for evaluating the effectiveness of building a new power system technical standard system according to claim 1 is characterized in that: The fuzzy relationship matrix is: Among them, r nm It is the membership degree of the nth element in the evaluation factor set to the mth element in the evaluation comment set.

7. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The fuzzy multiplication operation includes: The main factor-determined fuzzy multiplication operation is as follows: b j =max{(a i ∧r ij )|1≤i≤n},j=1,2,…,m; Weighted average fuzzy multiplication operation, the formula is, b j =∑(a i ·r ij ),j=1,2,…,m; Among them, b j is the fuzzy judgment result, a i is the weight of the i-th factor, satisfying r ij It is a fuzzy judgment value.

8. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The fuzzy evaluation matrix is: B=(b1,b2,…,b j ), Among them, b j The result is fuzzy judgment.

9. The method for evaluating the effectiveness of constructing a new power system technical standard system according to claim 1 is characterized in that: The calculation formula for the final score of the power system is: V i =(s1,s2,…,s m ), S=b1·s1+b2·s2+…+b m ·s m , Among them, m is the total number of evaluation indicators, s m is the value assigned to the evaluation level, b m The result is fuzzy judgment.

10. A new power system technical standard system construction utility evaluation system, characterized in that: The system comprises: The demand statistics module is used to obtain the demand for technical standards of the new power system as evaluation indicators, the evaluation criteria of each evaluation indicator and the weight of each evaluation indicator, and to organize the obtained data to obtain an evaluation factor set, an evaluation comment set and an evaluation weight set; The actual evaluation module conducts actual evaluation on the new power system and determines the fuzzy relationship matrix between the evaluation factor set and the evaluation comment set based on the evaluation results; The final evaluation module uses fuzzy multiplication operations to complete the calculation of weight vectors and fuzzy comprehensive evaluation matrices, obtains the fuzzy evaluation matrix, assigns evaluation grades, and uses the weighted average method to calculate the final score of the new power system. Based on the score, the effectiveness of constructing the new power system technical standard system is evaluated.

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