A construction scheme optimization method based on new energy node performance attributes

Abstract

The present application belongs to the technical field of power grid construction scheme planning and design, and particularly relates to a construction scheme optimization method based on new energy node efficiency attribute, comprising: constructing a new energy node efficiency attribute evaluation matrix; determining a normalized scheme attribute matrix and an energy efficiency attribute weight matrix; constructing a new energy node efficiency attribute weighted evaluation matrix; solving the approaching coefficient and the energy efficiency attribute close coefficient of the new energy node construction scheme and the local superior and inferior scheme; determining the energy optimization index value based on the approaching coefficient and the energy efficiency attribute close coefficient of the new energy node construction scheme and the local superior and inferior scheme, and determining the best scheme; the present application compares and analyzes the superior and inferior schemes of the comprehensive attribute in the region to be analyzed, and then obtains the best construction scheme, adapts to the overall planning and design of the efficiency attribute of various types of new energy nodes, is not affected by the differences in regional and efficiency attribute settings, and has a good universal new energy node efficiency attribute-based construction scheme optimization method.

Description

Technical Field

[0001] This invention belongs to the field of power grid construction scheme planning and design technology, and in particular relates to a method for optimizing construction schemes based on the performance attributes of new energy nodes. Background Technology

[0002] In the continuous development of new energy construction in China, the necessity of building new energy nodes is a complex issue. Apart from some nodes designated by regional diversion and urban power distribution planning, the construction of most new energy nodes requires comprehensive evaluation based on their performance attributes. Due to the numerous and complex performance attributes of new energy nodes, it is often difficult to complete the calculation and analysis quickly and effectively in actual practice. In particular, due to differences in focus and regional characteristics in different regions and power grids, the performance attributes of new energy nodes vary greatly. Many planning and design schemes that are suitable in one place may not be suitable in other places. This increases the difficulty of planning and designing new energy nodes and has an adverse impact on the unified scheduling and planning of the domestic new energy network. Summary of the Invention

[0003] The purpose of this invention is to provide a method for selecting the optimal construction scheme based on the performance attributes of new energy nodes by comparing and analyzing the superior and inferior schemes with the comprehensive attributes of the region to be analyzed. This method is suitable for the overall planning and design of the performance attributes of various types of new energy nodes, is not affected by regional and performance attribute settings differences, and has good universality.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A method for optimizing a construction scheme based on the performance attributes of new energy nodes includes the following steps:

[0006] Step 1. Construct a performance evaluation matrix for new energy nodes; specifically:

[0007] Define a set of new energy node construction schemes G = {G1, G2, G3...G...} m-1 G m}, where G i (i = 1, 2, ..., m) refers to the construction plan of the i-th new energy node; the set of new energy node performance attributes S = {S1, S2, S3, ..., S...} is defined. n-1 S n}, the S j (j = 1, 2, ..., n) refers to the j-th performance attribute of the power grid at the new energy node; the performance attribute of the new energy node includes at least: the maximum load of the new energy node, the average input output, and the average input cost of the new energy node;

[0008] Establish a new energy node efficiency attribute evaluation matrix T:

[0009]

[0010] Where T ij This refers to the j-th performance attribute value of the construction plan for the i-th new energy node;

[0011] Step 2. Determine the normalization scheme attribute matrix and the energy efficiency attribute weight matrix;

[0012] Specifically, this refers to establishing an evaluation matrix for the performance attributes of new energy nodes.

[0013]

[0014] Establish a weight matrix for energy efficiency attributes of new energy nodes.

[0015] W = [ω1, ω2...ω] j ],in This refers to the weight coefficient of the j-th performance attribute, e j It refers to the entropy value of the j-th performance attribute;

[0016] Step 3. Construct a weighted evaluation matrix of the performance attributes of new energy nodes.

[0017] The weighted evaluation matrix of new energy node efficiency attributes is U = R·W = {u ij} mn , where u ij =ω j R ij ;

[0018] Step 4. Solve for the local advantages and disadvantages of the new energy node efficiency attributes and the convergence coefficients.

[0019] The schemes for local optimization and deterioration of the performance attributes of new energy nodes include a local optimization scheme U' and a local degradation scheme U'', where U' = {U'1, U'2, ..., U''}. j ...U' n}, U' j =maxu ij ;U”={U″1, U″2...U″ j ...U″ n},U″ j =maxu ij ;

[0020] The convergence coefficient of the new energy node efficiency attribute includes the convergence coefficient v of the local optimization scheme. i 'and the coefficient of convergence v of the local degradation scheme' i ,in

[0021] Step 5. Solve for the convergence coefficient and energy efficiency attribute compactness coefficient between the new energy node construction scheme and the local superior and inferior schemes.

[0022] The convergence coefficient between the new energy node construction plan and the locally superior and inferior plans includes the convergence coefficient v' between the i-th new energy node construction plan and the locally optimized plan. i The convergence coefficient v″ between the construction scheme of the i-th new energy node and the local degradation scheme i ,in

[0023] The correlation coefficient between the energy efficiency attributes of the new energy node construction scheme and the local superior and inferior schemes includes the correlation coefficient e' between the i-th new energy node construction scheme and the local optimization scheme with respect to the j-th energy efficiency attribute. i The correlation coefficient e″ between the construction scheme of the i-th new energy node and the local degradation scheme with respect to the j-th energy efficiency attribute i ,in λ is an adjustment coefficient to avoid weight imbalance;

[0024] Step 6. Determine the optimal energy selection index value based on the convergence coefficient and energy efficiency attribute tightness coefficient between the new energy node construction plan and the local superior and inferior plans;

[0025] Preferred index value

[0026] Optimal index value Goal i By positive optimization index Goal' i and negative optimization metric Goal″ i Calculated;

[0027] Positive optimization metric Goal' i =k1v″ i +k2e' i Negative optimization metric Goal″ i =k1v' i +k2e″ i , where k1 and k2 are tendency coefficients, k1+k2=1, k1∈(0,1), k1∈(0,1);

[0028] Based on the optimization index value Goal i Calculate the set of construction schemes for each new energy node, G = {G1, G2, G3...G...} m-1 G m The optimal index values ​​of each scheme are selected and sorted from largest to smallest, and the scheme with the highest value for new energy node construction is selected as the optimal scheme.

[0029] In a further improvement or optimization of the aforementioned construction scheme selection method based on the performance attributes of new energy nodes, step 6 uses a weighted index value, namely Goal'. i =k1V″ i +k2E' i Goal″ i =k1V' i +k2E″ i ;in This refers to the weighted convergence coefficient of the local optimization scheme, where It refers to the weighted convergence coefficient of the local degradation scheme; It refers to the weighted compactness coefficient of the local optimization scheme, where It refers to the weighted compactness coefficient of the local degradation scheme.

[0030] For a further improvement or optimization of the aforementioned construction scheme selection method based on the performance attributes of new energy nodes, the entropy value of the j-th performance attribute is calculated as follows:

[0031] For a further improvement or optimization of the aforementioned construction scheme selection method based on the performance attributes of new energy nodes, in step four, λ = 0.5.

[0032] Its beneficial effects are as follows:

[0033] The proposed method for optimizing construction schemes based on the performance attributes of new energy nodes is applicable to the analysis, coordination, and prediction of various types of new energy nodes, providing a foundation for the construction planning of new energy nodes. It can effectively analyze and process new energy nodes with different characteristics in different regions. By comparing and analyzing the superior and inferior schemes constructed based on their own attribute characteristics, it can quickly rank existing construction schemes and determine the optimal scheme. It has good adaptability to the attribute characteristics of new energy nodes, is easy to apply, and is of great significance for building a unified planning and analysis system. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating the optimal construction scheme based on the performance attributes of new energy nodes. Detailed Implementation

[0035] The present invention will be described in detail below with reference to specific embodiments.

[0036] The method for optimizing construction schemes based on the performance attributes of new energy nodes in this invention is mainly used for the planning and design of various types of new energy node construction projects.

[0037] During implementation, its basic purpose is to determine the optimal construction scheme among several new energy node construction schemes. In reality, different construction schemes will result in significant differences in the performance attributes of new energy nodes due to differences in construction location and construction methods. Considering the comprehensive needs of new energy node construction, a single attribute cannot be relied upon for judgment.

[0038] Step 1. To meet the comprehensive application analysis of multiple performance attributes, the first step of this application is to construct a performance attribute evaluation matrix for new energy nodes; specifically, it refers to defining a set of new energy node construction schemes G = {G1, G2, G3...G...} m-1 G m}, where G i (i = 1, 2, ..., m) refers to the construction plan of the i-th new energy node; the set of new energy node performance attributes S = {S1, S2, S3, ..., S...} is defined. n-1 S n}, the S j (j = 1, 2, ..., n) refers to the j-th performance attribute of the new energy node power grid; the performance attribute of the new energy node includes at least:

[0039] Establish a new energy node efficiency attribute evaluation matrix T:

[0040]

[0041] Where T ij This refers to the j-th performance attribute value of the construction plan for the i-th new energy node;

[0042] In actual implementation, based on preliminary demonstrations or historical statistical data, the efficiency attribute indicators of new energy nodes can be obtained from the basic data of different construction schemes, as shown in Table 1.

[0043] Table 1. Performance Indicators of Different Construction Schemes for a Transmission-Type New Energy Node

[0044] Serial Number Performance indicators unit Option 1 Option 2 Option 3 Option 4 Option 5 1 Maximum load kw 5.5 6.2 7.3 6.4 7.1 2 Average input output kw / ten thousand yuan 0.35 0.37 0.39 0.41 0.41 4 Average input cost Ten thousand yuan 16.7 18.4 19.3 18.5 18.2 5 Automated conversion rate ％ 58.4 77.2 90 76.3 82.3 6 Average performance improvement rate ％ 19.1 33.2 38.5 36.4 38.2 7 Average efficiency increment kw 2.1 1.89 1.75 1.9 2.3 8 Node connectivity ％ 75 85 96 85 96 ... ... ... ... ... ... ... ...

[0045] In practical applications, the maximum load, average input-output ratio, and average input cost of new energy nodes are core performance indicators in the construction of new energy nodes. The maximum load of a node refers to its maximum load capacity (as an energy transfer, utilization, or transmission node) or output load (generally referring to new energy output nodes) across different construction schemes of a new energy node project. Average input-output ratio refers to the main performance output resulting from a unit cost investment in the new energy node.

[0046] Step 2. Determine the normalization scheme attribute matrix and the energy efficiency attribute weight matrix;

[0047] Specifically, this refers to establishing an evaluation matrix for the performance attributes of new energy nodes.

[0048] in

[0049] Establish a weight matrix for energy efficiency attributes of new energy nodes.

[0050] W = [ω1, ω2...ω] j ],in This refers to the weight coefficient of the j-th performance attribute, e j It refers to the entropy value of the j-th performance attribute;

[0051] Maximum load, average input output, and average input cost of new energy nodes;

[0052] Step 3. Construct a weighted evaluation matrix of the performance attributes of new energy nodes.

[0053] The weighted evaluation matrix of new energy node efficiency attributes is U = R·W = {u ij} mn , where u ij =ω j R ij ;

[0054] Step 4. Solve for the local advantages and disadvantages of the new energy node efficiency attributes and the convergence coefficients.

[0055] The schemes for local optimization and deterioration of the performance attributes of new energy nodes include a local optimization scheme U' and a local degradation scheme U'', where U' = {U'1, U'2, ..., U''}. j ...U' n}, U' j =maxu ij ;U”={U″1, U″2...U″ j ...U″ n},U″ j =maxu ij ;

[0056] The convergence coefficient of the new energy node efficiency attribute includes the convergence coefficient v' of the local optimization scheme. i The coefficient of convergence v″ with the local degradation scheme i ,in

[0057] Step 5. Solve for the convergence coefficient and energy efficiency attribute compactness coefficient between the new energy node construction scheme and the local superior and inferior schemes.

[0058] The convergence coefficient between the new energy node construction plan and the locally superior and inferior plans includes the convergence coefficient v' between the i-th new energy node construction plan and the locally optimized plan.i The convergence coefficient v″ between the construction scheme of the i-th new energy node and the local degradation scheme i ,in

[0059] The correlation coefficient between the energy efficiency attributes of the new energy node construction scheme and the local superior and inferior schemes includes the correlation coefficient e' between the i-th new energy node construction scheme and the local optimization scheme with respect to the j-th energy efficiency attribute. i The correlation coefficient e″ between the construction scheme of the i-th new energy node and the local degradation scheme with respect to the j-th energy efficiency attribute i ,in λ is an adjustment coefficient to avoid weight imbalance;

[0060] In actual implementation, the entropy value of the j-th performance attribute is calculated as follows: λ is mainly used to avoid imbalance of weight values ​​during coefficient calculation. In general calculation, λ = 0.5 is sufficient.

[0061] Step 6. Determine the optimal energy selection index value based on the convergence coefficient and energy efficiency attribute tightness coefficient between the new energy node construction plan and the local superior and inferior plans;

[0062] Preferred index value

[0063] Optimal index value Goal i By positive optimization index Goal' i and negative optimization metric Goal″ i Calculated;

[0064] Positive optimization metric Goal' i =k1v″ i +k2e' i Negative optimization metric Goal″ i =k1v' i +k2e″ i , where k1 and k2 are tendency coefficients, k1+k2=1, k1∈(0,1), k1∈(0,1);

[0065] In this application, the tendency coefficient is used to consider the tendency when constructing new energy nodes in the evaluation index process. When there is a tendency to make the new energy node equipment achieve better performance indicators, the weight value of K1 is increased. When there is a tendency to make stable performance attributes and reduce the negative optimization index value, the weight value of K1 is decreased.

[0066] Finally, based on the optimization index value Goal i Calculate the set of construction schemes for each new energy node, G = {G1, G2, G3...G...} m-1 G mThe optimal index values ​​of each scheme are selected and sorted from largest to smallest, and the scheme with the highest value for new energy node construction is selected as the optimal scheme.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing a construction scheme based on the performance attributes of new energy nodes, characterized in that, Includes the following steps: Step 1. Construct a performance evaluation matrix for new energy nodes; specifically: Define a set of new energy node construction schemes G = {G1, G2, G3...G...} m-1 G m }, where G i (i = 1, 2, ..., m) refers to the construction plan of the i-th new energy node; the set of new energy node performance attributes S = {S1, S2, S3, ..., S...} is defined. n-1 S n }, the S j (j = 1, 2, ..., n) refers to the j-th performance attribute of the power grid at the new energy node; the performance attribute of the new energy node includes at least: the maximum load of the new energy node, the average input output, and the average input cost of the new energy node; Establish a new energy node efficiency attribute evaluation matrix T: Where T ij This refers to the j-th performance attribute value of the i-th new energy node construction plan; Step 2. Determine the normalization scheme attribute matrix and the energy efficiency attribute weight matrix; Specifically, this refers to establishing an evaluation matrix for the performance attributes of new energy nodes. in Establish a weight matrix for energy efficiency attributes of new energy nodes. W = [ω1, ω2...ω] j ],in This refers to the weight coefficient of the j-th performance attribute, e j It refers to the entropy value of the j-th performance attribute; Step 3. Construct a weighted evaluation matrix of the performance attributes of new energy nodes. The weighted evaluation matrix of new energy node efficiency attributes is U = R·W = {u ij } mn , where u ij =ω j R ij ; Step 4. Solve for the local advantages and disadvantages of the new energy node efficiency attributes and the convergence coefficients. The schemes for local optimization and deterioration of the performance attributes of new energy nodes include a local optimization scheme U' and a local degradation scheme U'', where U' = {U'1, U'2, ..., U''}. j ...U' n }, U' j =maxu ij ;U”={U”1, U”2...U” j ...U” n }, U” j =maxu ij ; The convergence coefficient of the new energy node efficiency attribute includes the convergence coefficient v' of the local optimization scheme. i The coefficient of convergence v with the local degradation scheme i ,in Step 5. Solve for the convergence coefficient and energy efficiency attribute compactness coefficient between the new energy node construction scheme and the local superior and inferior schemes. The convergence coefficient between the new energy node construction plan and the locally superior and inferior plans includes the convergence coefficient v' between the i-th new energy node construction plan and the locally optimized plan. i The convergence coefficient v between the construction scheme of the i-th new energy node and the local degradation scheme i ,in The correlation coefficient between the energy efficiency attributes of the new energy node construction plan and the local superior and inferior plans includes the correlation coefficient e' between the i-th new energy node construction plan and the local optimization plan with respect to the j-th energy efficiency attribute. i The correlation coefficient e” between the construction scheme of the i-th new energy node and the local degradation scheme with respect to the j-th energy efficiency attribute i ,in λ is an adjustment coefficient to avoid weight imbalance; Step 6. Determine the optimal energy selection index value based on the convergence coefficient and energy efficiency attribute tightness coefficient between the new energy node construction plan and the local superior and inferior plans; Preferred index value Optimal index value Goal i By positive optimization index Goal' i and negative optimization metric "Goal" i Calculated; Positive optimization metric Goal' i =k1v” i +k2e' i Negative optimization metric "Goal" i =k1v' i +k2e” i , where k1 and k2 are tendency coefficients, k1+k2=1, k1∈(0,1), k1∈(0,1); Based on the optimization index value Goal i Calculate the set of construction schemes for each new energy node, G = {G1, G2, G3...G...} m-1 G m The optimal index values ​​of each scheme are selected and sorted from largest to smallest, and the scheme with the highest value for new energy node construction is selected as the optimal scheme.

2. The method for optimizing a construction scheme based on the performance attributes of new energy nodes according to claim 1, characterized in that, In step 6, the preferred indicator value is a weighted indicator value, i.e., Goal'. i =k1V” i +k2E' i Goal i =k1V i '+k2E" i ;in This refers to the weighted convergence coefficient of the local optimization scheme, where It refers to the weighted convergence coefficient of the local degradation scheme; It refers to the weighted compactness coefficient of the local optimization scheme, where It refers to the weighted compactness coefficient of the local degradation scheme.

3. The method for optimizing a construction scheme based on the performance attributes of new energy nodes according to claim 1, characterized in that, The entropy value of the j-th performance attribute is calculated as follows:

4. The method for optimizing a construction scheme based on the performance attributes of new energy nodes according to claim 1, characterized in that, In step 5, λ = 0.5.

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