CN115438959A - Industrial user demand response potential assessment method based on combined empowerment - Google Patents
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Abstract
The invention discloses an industrial user demand response potential evaluation method based on combined empowerment, which comprises the following steps: constructing an industrial user demand response evaluation index system comprising a target layer, a standard layer and an index layer; dividing user demand response potential evaluation indexes in an index layer into 4 evaluation grades and corresponding classical domains; weighting each index by using an analytic hierarchy process and a CRITIC method, and determining the user demand response potential index weight by using an AHP-CRITIC combined weighting method; calculating by using a matter element extension evaluation model to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics; and evaluating the demand response potential of the user according to the comprehensive association degree of the user, the evaluation level of the user and the level variable. The influence of the combined weighting method on the demand response of the industrial user is comprehensively considered, and the comprehensive weight with subjective and objective meanings is obtained according to each index of the user; the problem of data deviation of a single subjective and objective weighting method is solved.
Description
Technical Field
The invention relates to the technical field of evaluation of demand response potential of industrial users, in particular to a combined empowerment-based evaluation method of demand response potential of industrial users.
Background
At present, the evaluation of the demand response potential of the power consumer is mostly based on post evaluation, historical power consumption data of the user, user load characteristics analysis, and the demand response quantity of the user is obtained by establishing a response potential calculation model of industrial enterprise users. The evaluation of the demand response potential is not carried out from the perspective of the user, so that the evaluation result of the demand response potential is deviated.
Due to the difference of production processes and flows and the difference of load characteristics and response capacity of industrial enterprises, how to establish a reliable user demand response potential evaluation index system is one of the first consideration problems of reflecting the active participation demand response level of a demand side. Therefore, the evaluation grade and the grade variable are obtained according to the comprehensive relevance of the user, and representative indexes are selected to evaluate the user demand response potential grade. The level of active participation of the demand side in demand response is fully reflected, and the willingness of the user in interaction with the power grid is improved.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems.
Therefore, the technical problem solved by the invention is as follows: the existing user demand response potential evaluation does not take the user angle of user behavior, user load condition and user basic condition as reference, and the demand side actively participates in the problems of low demand response level and low willingness of the user to participate in the interaction of the power grid.
In order to solve the technical problems, the invention provides the following technical scheme: an industrial user demand response potential assessment method based on combined weighting comprises the following steps:
constructing an industrial user demand response evaluation index system comprising a target layer, a standard layer and an index layer;
dividing the user demand response potential evaluation indexes in the index layer into 4 evaluation levels and corresponding classical domains, weighting each index by utilizing an analytic hierarchy process and a CRITIC process, and determining the user demand response potential index weight by utilizing an AHP-CRITIC combined weighting method;
calculating by using a matter element extension evaluation model to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics;
and evaluating the user demand response potential according to the user comprehensive association degree, the evaluation level of the user and the level variable.
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps: the target layer includes: and evaluating the index of the user demand response potential.
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps: the standard layer comprises three first-level indexes which are respectively: user behavior index, user load condition index and user basic condition index; the index layer comprises six secondary indexes which are respectively: user willingness degree level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User power supply reliability requirement index A 5 User energy consumption ratio index A 6 。
The user behavior index comprises a user willingness degree level index A 1 User response compliance index A 2 The user load condition index comprises an interruptible load ratio A 3 Load interruptible time ratio A 4 The user basic condition index comprises a user power supply reliability requirement index A 5 User energy consumption ratio index A 6 。
As a preferred embodiment of the method for assessing the demand response potential of the industrial users based on the combination empowerment, the method comprises the following steps: the evaluation grades comprise: excellent grade 1, good grade 2, pass grade 3 and fail grade 4.
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps: the analytic hierarchy process is used for subjective weighting, comprising: comparing the influence of a plurality of indexes under the same index on the standard layer factors pairwise, expressing the judgment result by using a corresponding ratio, and expressing the importance degree of the judgment result by using a 1-9 scale method to finally form a judgment matrix U;
performing consistency check, and judging that the matrix meets the consistency check when the consistency ratio CR is less than 0.10;
and taking the normalized feature vector as a subjective weight.
As a preferred embodiment of the method for assessing the demand response potential of the industrial users based on the combination empowerment, the method comprises the following steps: the CRITIC method includes an index dimensionless process, which is expressed as:
carrying out dimensionless processing on the index matrix X 'to obtain a standardized matrix X'
If X' is a positive indicator:
if X' is a reverse indicator:
wherein, x' ij Representing the value after the dimensionless processing of the value of the ith row and j column in the index matrix; x is the number of ij The value of the ith row and the j column in the index matrix; max (x) j )、min(x j ) Respectively representing the maximum and minimum values in the j-th column.
The forward indicators include: the user will degree level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User energy consumption ratio index A 6 ；
The reverse indicators include: the user power supply reliability requirement index A 5 。
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps: the CRITIC method is adopted for objective weighting, and comprises the following steps:
and (3) calculating the standard deviation and the correlation coefficient of each index in the standardized matrix X', and expressing as follows:
r ij ＝cov(X′ i ，X′ j )/(S i ，S j )i，j＝1，2，…，n
objective weight calculation, expressed as:
wherein S j Is the standard deviation of the jth index, r ij A correlation coefficient between the ith index and the jth index; c j Is the amount of information contained in the jth index, W j Is the objective weight of the jth index.
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps: the AHP-CRITIC combined weighting method carries out combined weighting to obtain comprehensive weight, and the comprehensive weight is expressed as follows:
W * ＝λ 1 W 1 +λ 2 W 2
wherein takes lambda 1 ＝λ 2 ＝0.5，W * Is an integrated weight, W 1 Is a subjective weight, W 2 Is an objective weight.
As a preferred embodiment of the method for assessing the demand response potential of the industrial users based on the combination empowerment, the method comprises the following steps: the matter element extension evaluation model calculates to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics, and comprises the following steps: and completing confirmation of the demand response potential sub-index and the corresponding magnitude, and determining the object elements to be evaluated as follows:
wherein N is i -a user to be evaluated; c j1 ，C j2 ，…，C jk -user willingness level, user response mix degree, \ 8230;, energy consumption ratio, etc.; v j1 ，V j2 ，…，V jk -the demand response potential of the industrial user to be evaluated is related to each index C jk The magnitude of (c).
Determining the magnitude range of the classical domain, i.e. for the evaluation level N i About evaluation characteristics C j Magnitude range X of ij ＝(a ij ，b ij ) Expressed as:
for each evaluation feature C j All correspond to a value range X pj ＝(a pj ，b pj ) I.e. section domain, is represented as:
and determining the relevance of each grade according to the distance from the value-taking point to the classical domain interval of each grade, wherein the relevance is expressed as follows:
constructing a correlation matrix, the correlation matrix of the sub-indexes to each demand response potential level and the weight vector W of each sub-index jk Multiplying to obtain a correlation matrix K (c) of the index to each demand response potential grade j )：
The relevance matrix K (N) of the user to be evaluated to each potential grade is the weight vector W of the relevance of each sub-index to each burden grade multiplied by the sub-index j Namely:
calculating the demand response potential grade of the industrial user, and if so, according to the relevance index
The demand response potential of the user to be evaluated belongs to a grade i, and the grade variable characteristic value is represented as:
wherein i is a characteristic value of the grade variable.
As a preferred embodiment of the method for assessing demand response potential of industrial users based on combined empowerment, the method comprises the following steps:
determining the grade with the maximum comprehensive relevance degree of the users in the evaluation grade as the user grade;
and if the user grades are the same, evaluating according to the grade variable characteristics, wherein the larger the grade variable characteristics are, the larger the user demand response potential is.
The invention has the beneficial effects that: the method for evaluating the demand response potential of the industrial user provided by the invention is characterized in that a demand response potential evaluation index system is established based on three user dimensions of industrial user behaviors, user load conditions and user basic conditions, subjective weights and objective weights are respectively given by adopting an analytic hierarchy process and a CRITIC method, and comprehensive weights are obtained by a combined weighting method, so that comprehensive weights with subjective and objective meanings are obtained; calculating the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics by using the matter element extension evaluation model; the user demand response potential level is evaluated, the level of active participation of the demand side in demand response is fully reflected, the willingness of the demand side to participate in interaction of the power grid is improved, and the selection of users participating in demand response and the formulation of a demand response scheme are facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
FIG. 1 is a flowchart illustrating an overall method for assessing demand response potential of an industrial user based on combined weighting according to an embodiment of the present invention;
fig. 2 is an index hierarchy diagram of an industrial user demand response potential evaluation method based on combined weighting according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures of the present invention are described in detail below, and it is apparent that the described embodiments are a part, not all or all of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 2, for an embodiment of the present invention, a method for evaluating demand response potential of an industrial user based on combined entitlement is provided, including:
s1: constructing an industrial user demand response evaluation index system comprising a target layer, a standard layer and an index layer;
further, the target layer is a user demand response potential index;
further, the standard layer includes three first-level indicators: user behavior indexes, user load condition indexes and user basic condition indexes;
furthermore, the index layer comprises six secondary indexes, namely a user willingness degree level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User power supply reliability requirement index A 5 User energy consumption ratio index A 6 。
Further, the user behavior index includes a user willingness level index A 1 User response compliance index A 2 The user load condition index includes an interruptible load ratio A 3 Load interruptible time ratio A 4 The user basic condition index comprises a user power supply reliability requirement index A 5 User energy consumption ratio index A 6 。
Note that, the user intention level index A1: in the evaluation, in order to consider the uncertainty of the willingness of the user to participate in the response, the willingness of the user is randomly valued in the range of [0,1 ]. The greater the willingness value is, the higher the participation willingness is;
user response suitability index A2: the more the users cooperate with each other to express the potential to be larger, the more the users cooperate with each other
The user load situation indicator includes an interruptible load ratio A3: the user may reduce or stop using the device capacity as a proportion of the total device capacity of the user while participating in the response. The higher the ratio, the greater the user response potential and vice versa.
Load interruptible time ratio A4: the length of time a user can turn off the load in 24 hours a day, the longer the time the greater the potential.
User power supply reliability requirement index A5: the user's power supply reliability requirements are inversely proportional to the potential for participation in DR, i.e., the higher the power supply reliability requirements, the lower the potential for participation in DR
User energy consumption ratio index A6: the proportion of the power consumed by the user to the total energy consumed by the user reflects the electrification level condition of the user.
S2: dividing user demand response potential evaluation indexes in an index layer into 4 evaluation grades and corresponding classical domains;
further, the evaluation grades include: excellent grade 1, good grade 2, pass grade 3 and fail grade 4. Weighting each index by using an analytic hierarchy process and a CRITIC method, and realizing the calculation of combined weighting by using an AHP-CRITIC combined weighting method;
further, the analytic hierarchy process is used for subjective weighting, comprising:
comparing the influence of a plurality of indexes under the same index on the standard layer factors pairwise, expressing the judgment result by using a corresponding ratio, and expressing the importance degree of the judgment result through a 1-9 scale correspondence table to finally form a judgment matrix X;
it should be noted that, subjective weighting is performed by using an analytic hierarchy process, and a determination matrix is a square matrix, all elements are greater than 0, elements on a diagonal are 1, and elements symmetrical about the diagonal are in reciprocal relation with each other.
Performing consistency check, and judging that the matrix U meets the consistency check when the consistency ratio CR is less than 0.1;
specifically, the formula is as follows:
in the formula: lambda is the maximum feature root; n is a unique non-zero characteristic root, RI is a random consistency index, and RI values are different and can be obtained by table lookup.
And normalizing the feature vector passing through the consistency check matrix, wherein the normalized feature vector can be used as a weight vector.
Further, the CRITIC method is used for objective weighting, and includes non-dimensionalizing the index as:
if X' is a forward indicator:
if X' is a reverse index:
wherein x' ij Representing the value after the dimensionless processing of the value of the ith row and j column in the index matrix; x is a radical of a fluorine atom ij The value of the ith row and j column in the index matrix; max (x) j )、min(x j ) Respectively representing the maximum and minimum values in the j-th column.
Specifically, the forward indicators include: user willingness level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User energy consumption ratio index A 6 (ii) a The reverse indexes comprise: user power supply reliability requirement index A 5 。
The standard deviation calculation for each index in the normalized matrix X' is expressed as:
calculating the correlation coefficient of each index in the standardized matrix X', and expressing the calculation as follows:
r ij ＝cov(X i ，X j )/(S i ，S j )i，j＝1，2，…，n
it should be noted that, when the standard deviation is constant, the smaller the conflict between the indexes is, the smaller the weight is; the greater the conflict, the greater the weight; when the positive correlation degree between the two indexes is larger, the correlation coefficient is closer to 1, and the conflict is smaller, which indicates that the information reflected by the two indexes on the quality of the evaluation scheme has larger similarity.
Objective weight calculation, expressed as:
note that objective weighting is performed by the CRITIC method, and if the amount of information provided by an index is larger, the degree of importance in the overall evaluation is higher, and the weight value is larger.
Furthermore, the AHP-CRITIC combination weighting method performs combination weighting to obtain a comprehensive weight, which is expressed as:
W * ＝λ 1 W 1 +λ 2 W 2
wherein λ is 1 ＝λ 2 =0.5, W is the composite weight, W 1 Is a subjective weight, W 2 Are objective weights.
It should be noted that, considering that the weight is judged to have randomness only by a subjective method, objective weights of each index are obtained by calculating information amounts included in index data by combining the CRITIC method, and the information amounts are expressed by correlation coefficients and standard deviations among the indexes, so that the relevance and the diversity among the indexes are sufficiently expressed, and the weighted result is close to the actual result as much as possible by combining the weighting methods, thereby increasing the reliability of the evaluation result.
S3: the method comprises the following steps of calculating the comprehensive association degree of a user, the evaluation grade of the user and the grade variable characteristics by using an object element extension evaluation model, wherein the comprehensive association degree of the user and the evaluation grade and grade variable characteristics of the user are obtained by calculating the object element extension evaluation model, and the comprehensive association degree of the user and the evaluation grade and grade variable characteristics of the user comprise the following steps: and completing the confirmation of the sub-indexes of the demand response potential and the corresponding magnitude, and determining the object elements to be evaluated as follows:
wherein N is i -a user to be evaluated; c j1 ，C j2 ，…，C jk -user willingness level, user response mix degree, \ 8230;, energy consumption ratio, etc.; v j1 ，V j2 ，…，V jk -the demand response potential of the industrial user to be evaluated is related to each itemIndex C jk The magnitude of (c).
Determining the magnitude range of the classical domain, i.e. for the evaluation level N i About evaluation characteristics C j Magnitude range X of ij ＝(a ij ，b ij ) Expressed as:
for each evaluation feature C j All correspond to a value range X pj ＝(a pj ，b pj ) I.e. section domain, is represented as:
and determining the relevance of each grade according to the distance from the value-taking point to the classical domain interval of each grade, wherein the relevance is expressed as follows:
constructing a correlation matrix, the correlation matrix of the sub-indexes to each demand response potential level and the weight vector W of each sub-index jk Multiplying to obtain a correlation matrix K (c) of the index to each demand response potential grade j )：
The relevance matrix K (N) of the user to be evaluated to each potential grade is the weight vector W of the relevance of each sub-index to each burden grade multiplied by the sub-index j Namely:
calculating the demand response potential grade of the industrial user according to the relevance indexIf, if
The demand response potential of the user to be evaluated belongs to a grade i, and the grade variable characteristic value is as follows:
wherein i is a characteristic value of the grade variable.
It should be noted that, by using the object element extension model, the comprehensive association degree of the user, the evaluation level of the user and the level variable characteristic are calculated, and the level variable characteristic value can more accurately represent the level of the evaluation object.
S4: and evaluating the demand response potential of the user according to the comprehensive association degree of the user, the evaluation level of the user and the level variable.
Determining the grade with the maximum comprehensive relevance degree of the users in the evaluation grade as the user grade;
and if the user grades are the same, evaluating according to the grade variable characteristics, wherein the larger the grade variable characteristics are, the larger the user demand response potential is.
Example 2
Referring to fig. 1-2, for one embodiment of the present invention, a method for assessing demand response potential of an industrial user based on combined empowerment is provided, and the practical application process thereof is as follows:
in order to fully reflect the level of active participation of the demand side in demand response, from the perspective of users, a demand response potential index system is established, as shown in fig. 1. Specifically, three primary indexes, namely a user behavior index, a user load condition index and a user basic condition index, are established, wherein the user behavior index comprises a user willingness degree level index A 1 User response compliance index A 2 Two secondary indicators, the user load condition indicator comprising an interruptible load ratio A 3 Load interruptible time ratio A 4 Two secondary indexes, the user basic condition index comprises a user power supply reliability requirement index A 5 User energy consumption ratio index A 6 Two secondary indexes.
Assuming that the demand response potential evaluation is performed on four industrial users, the index values are shown in table 1 through investigation.
TABLE 1 index values for four users
| A1 | A2 | A3 | A4 | A5 | A6 | |
| User 1 | 0.6 | 0.8 | 0.55 | 0.65 | 0.9 | 0.3 |
| User 2 | 0.3 | 0.4 | 0.3 | 0.4 | 0.9 | 0.6 |
| User 3 | 0.7 | 0.9 | 0.6 | 1.2 | 0.8 | 0.5 |
| User 4 | 0.5 | 0.9 | 0.7 | 1 | 0.7 | 0.6 |
The evaluation grades of the user demand response potential are divided into 4 grades which are respectively unqualified (grade 1), qualified (grade 2), good (grade 3) and excellent (grade 4), and each index corresponds to a classical domain under the 4 grades, as shown in table 2.
TABLE 2 classical fields for various indices at different levels
| Index (I) | Level 1 | Stage 2 | Grade 3 | Grade 4 |
| Degree of user's will A 1 (％) | ≥70 | 40～70 | 20～40 | ≤20 |
| User response compliance A 2 (％) | ≥80 | 50～80 | 30～50 | ≤30 |
| Interruptible duty ratio A 3 (％) | ≥60 | 50～60 | 40～50 | ≤40 |
| Time a of interruptible load 4 (h) | ≥1 | 0.8～1 | 0.6～0.8 | ≤0.6 |
| Power supply reliability requirement a 5 (％) | 70≤ | 70～80 | 80～90 | 90≥ |
| Energy consumption ratio A 6 (％) | ≥50 | 35～50 | 20～35 | ≤20 |
And (3) carrying out expert scoring by adopting an analytic hierarchy process to calculate subjective weight, calculating objective weight on quantized data by adopting a CRITIC method, and finally carrying out combined weighting calculation to obtain comprehensive weight, wherein the comprehensive weight is shown in tables 3, 4 and 5.
TABLE 3 weight of primary index to target layer
| Index (I) | A1 | A2 | A3 | A4 | A5 | A6 |
| Weight of | 0.478 | 0.159 | 0.215 | 0.043 | 0.087 | 0.017 |
TABLE 4 weight of Secondary indices to target layer
| Index (I) | A1 | A2 | A3 | A4 | A5 | A6 |
| Weight of | 0.173 | 0.127 | 0.108 | 0.104 | 0.136 | 0.352 |
TABLE 5 comprehensive weight of each index
| Index (I) | A1 | A2 | A3 | A4 | A5 | A6 |
| Weight of | 0.3255 | 0.143 | 0.1615 | 0.0735 | 0.1115 | 0.1845 |
Calculating the comprehensive association degree, evaluation level and level variable characteristics of the four users according to the matter element extension model, as shown in table 6:
TABLE 6 user index correlation
| k1 | K2 | K3 | K4 | Grade | Level variable characteristics | |
| User 1 | -0.3509 | 0.0866 | -0.1983 | -0.4075 | 2.0000 | 2.201 |
| User 2 | -0.3765 | -0.3040 | 0.1334 | -0.1475 | 3.0000 | 3.193 |
| User 3 | 0.0579 | -0.0930 | -0.3829 | -1.2540 | 1.0000 | 1.868 |
| User 4 | -0.3001 | -0.0506 | -0.3443 | -1.0966 | 2.0000 | 1.983 |
According to the table, it can be seen that the association degree between the demand response potential of the user 3 and the level 1 is the highest, and the user is an excellent user; user 1 and user 4 are then level 2 users, indicating that their demand response potential is good. Comparing the grade variable characteristics of the user 1 and the user 4, and showing that the demand response potential of the user 1 is more than 4; the demand response potential of the user 2 is most highly correlated with the 3 grades, namely the user 2 is a qualified user, and the demand response potential is lower.
Real-time example 3
Referring to table 4, for an embodiment of the present invention, a method for evaluating demand response potential of an industrial user based on combination empowerment is provided, and in order to verify the beneficial effects of the present invention, scientific demonstration is performed through comparative experiments.
TABLE 4 comparison of effects
The evaluation results of the method are basically consistent with those of an analytic hierarchy process and an entropy weight method, compared with the analytic hierarchy process and the entropy weight method, the demand response potential grades of the user 2 and the user 3 are slightly different, the problem of concentrated evaluation grades can occur when the demand response potential of the user is evaluated by simply adopting the analytic hierarchy process and the entropy weight method, and the defect that the demand response potential of the user cannot be accurately reflected due to the fact that a certain index is too large or too small in weight by a single subjective and objective weighting method exists. The evaluation method of combined weighting provided by the invention can accurately reflect the evaluation grade of each user, avoids the bias of a single subjective and objective weighting method, and improves the accuracy of the evaluation result.
It should be noted that, overall, in the past research, the evaluation research on the user demand response potential is less, the evaluation on the user demand response potential lacks a set of complete evaluation system, and some traditional evaluation methods are not applied to the evaluation on the user demand response potential. The innovation of the method is that after an industrial user demand response evaluation index system comprising a target layer, a standard layer and an index layer is constructed; and (4) combining the demand response potential evaluation data of different users, and applying the evaluation method to a user demand response evaluation index system to obtain a final evaluation result.
In the algorithm, calculating by using an object element extension evaluation model to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics; and evaluating the demand response potential of each user according to the evaluation level of the user and the level variable to obtain a final evaluation result.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. An industrial user demand response potential assessment method based on combined weighting is characterized by comprising the following steps:
constructing an industrial user demand response evaluation index system comprising a target layer, a standard layer and an index layer;
dividing the user demand response potential evaluation indexes in the index layer into 4 evaluation grades and corresponding classical domains; weighting each index by utilizing an analytic hierarchy process and a CRITIC process, and determining the weight of the user demand response potential index through an AHP-CRITIC combined weighting method;
calculating by using an object element extension evaluation model to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics;
and evaluating the demand response potential of the user according to the comprehensive association degree of the user, the evaluation level of the user and the level variable.
2. The combination-empowerment-based industrial customer demand response potential assessment method of claim 1, wherein: the target layer includes: magnitude of customer demand response potential.
3. The combined entitlement based industrial user demand response potential assessment method according to claim 2, characterized in that: the standard layer comprises three first-level indexes which are respectively as follows: user behavior index, user load condition index and user basic condition index; the index layer comprises six secondary indexes, namely a user willingness degree level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User power supply reliability requirement index A 5 User energy consumption ratio index A 6 ；
The user behavior index comprises a user willingness degree level index A 1 User response compliance index A 2 The user load condition index comprises an interruptible load ratio A 3 Load interruptible time ratio A 4 The user basic condition index comprises a user power supply reliability requirement index A 5 User energy consumption ratio index A 6 。
4. The combined entitlement based industrial user demand response potential assessment method according to claim 3, characterized in that: the evaluation grades include excellent grade 1, good grade 2, acceptable grade 3 and unacceptable grade 4.
5. The combined entitlement based industrial user demand response potential assessment method according to claim 4, characterized in that: the analytic hierarchy process is used for subjective weighting, and comprises the following steps:
comparing the influence of a plurality of indexes under the same index on the standard layer factors pairwise, representing the judgment result by using a corresponding ratio, and representing the importance degree of the judgment result through a 1-9 scale correspondence table to finally form a judgment matrix U;
performing consistency check, and judging that the matrix U meets the consistency check when the consistency ratio CR is less than 0.10; and taking the normalized feature vector as subjective weight.
6. The combinatorial entitlement based demand response potential assessment method of claim 5, wherein: the CRITIC method includes an index dimensionless process, expressed as:
carrying out dimensionless processing on the index matrix X 'to obtain a standardized matrix X'
If X' is a positive indicator:
if X' is a reverse indicator:
wherein, x' ij Representing the value after the dimensionless processing of the value of the ith row and j column in the index matrix; x is the number of ij The value of the ith row and j column in the index matrix; max (x) j )、min(x j ) Respectively representing the maximum and minimum values in the j column;
the forward indicators include: the user will degree level index A 1 User response compliance index A 2 Interruptible duty ratio A 3 Load interruptible time ratio A 4 User energy consumption ratio index A 6 ；
The reverse indicators include: the user power supply reliability requirement index A 5 。
7. The combined entitlement based industrial user demand response potential assessment method according to claim 6, characterized in that: the CRITIC method is adopted for objective weighting, and comprises the following steps:
the standard deviation and correlation coefficient of each index in the normalized matrix X' are calculated and are expressed as:
r ij ＝cov(X′ i ，X′ j )/(S i ，S j )i，j＝1，2，…，n
objective weight calculation, expressed as:
wherein S j Is the standard deviation of the jth index, r ij The correlation coefficient between the ith index and the jth index is obtained; c j Is the amount of information contained in the jth index, W j Is the objective weight of the jth index.
8. The combined entitlement based industrial user demand response potential assessment method of claim 7, characterized in that:
the AHP-CRITIC combined weighting method carries out combined weighting to obtain comprehensive weighting, and the comprehensive weighting is expressed as follows:
W * ＝λ 1 W 1 +λ 2 W 2
wherein take lambda 1 ＝λ 2 W is the overall weight, W =0.5 1 Is a subjective weight, W 2 Is an objective weight.
9. The combined entitlement based industrial user demand response potential assessment method of claim 8, characterized in that: the matter element extension evaluation model calculates to obtain the comprehensive relevance of the user, the evaluation level of the user and the level variable characteristics, and comprises the following steps: and completing confirmation of the demand response potential sub-index and the corresponding magnitude, and determining the object elements to be evaluated as follows:
wherein, N i -a user to be evaluated; c j1 ，C j2 ，…，C jk -user willingness level, user response mix degree, \ 8230;, energy consumption ratio, etc.; v j1 ，V j2 ，…，V jk -the demand response potential of the industrial user to be evaluated is related to each index C jk The magnitude of (c).
Determining the magnitude range of the classical domain, i.e. for the evaluation level N i About evaluation characteristics C j Magnitude range X of ij ＝(a ij ，b ij ) Expressed as:
for each evaluation feature C j All correspond to a value range X pj ＝(a pj ，b pj ) I.e. section domain, is represented as:
determining the relevance of each grade according to the distance from the value-taking point to the classical domain interval of each grade, and expressing as follows:
constructing a correlation matrix, the correlation matrix of the sub-indexes to each demand response potential level and the weight vector W of each sub-index jk Multiplying to obtain a correlation matrix K (c) of the index to each demand response potential grade j )：
The relevance matrix K (N) of the user to be evaluated to each potential grade is the weight vector W of the relevance of each sub-index to each burden grade multiplied by the sub-index j Namely:
calculating the demand response potential grade of the industrial user, and if so, according to the relevance index
The demand response potential of the user to be evaluated belongs to a grade i, and the grade variable characteristic value is represented as:
wherein i is a characteristic value of the grade variable.
10. The combined entitlement based industrial user demand response potential assessment method of claim 9, characterized in that: the evaluation of the user demand response potential comprises:
determining the grade with the maximum comprehensive relevance degree of the users in the evaluation grade as the user grade;
and if the user grades are the same, evaluating according to the grade variable characteristics, wherein the larger the grade variable characteristics are, the larger the user demand response potential is.
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| CN115759711A (en) * | 2023-01-10 | 2023-03-07 | 国网江苏省电力有限公司营销服务中心 | Comprehensive evaluation method and system for demand response execution effect oriented to load management |
| CN116365529A (en) * | 2022-12-21 | 2023-06-30 | 四川大学 | Industrial user adjustable potential evaluation method based on load electricity utilization characteristics |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116365529A (en) * | 2022-12-21 | 2023-06-30 | 四川大学 | Industrial user adjustable potential evaluation method based on load electricity utilization characteristics |
| CN116365529B (en) * | 2022-12-21 | 2024-01-23 | 四川大学 | Industrial user adjustable potential evaluation method based on load electricity utilization characteristics |
| CN115759711A (en) * | 2023-01-10 | 2023-03-07 | 国网江苏省电力有限公司营销服务中心 | Comprehensive evaluation method and system for demand response execution effect oriented to load management |
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