CN113011779A - Energy consumption price compensation method and device based on fuzzy comprehensive evaluation - Google Patents
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Abstract
The invention discloses an energy consumption price compensation method and device based on fuzzy comprehensive evaluation. Firstly, considering index factors influencing the energy consumption characteristics of users and energy price compensation; determining a user energy consumption level evaluation set and an evaluation matrix, and judging the membership degree of each influence factor of the energy consumption characteristics to the evaluation set; then, determining the index weight in each sub-factor set by adopting a G1 group method; and finally, comprehensively considering the existing energy consumption price compensation policy and the energy consumption evaluation result, and building an energy consumption price compensation model. The invention can comprehensively consider the energy consumption and energy saving conditions of the demand side, comprehensively and quantitatively evaluate a plurality of independent and fuzzy factors influencing the energy consumption characteristics of the user and the electricity price compensation, dynamically adjust and compensate the electricity price according to the evaluation result, and the compensation mode is beneficial to the benefits of both the supply and demand parties.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to an energy consumption price compensation method based on fuzzy comprehensive evaluation, and an energy consumption price compensation device based on fuzzy comprehensive evaluation.
Background
According to the method, the power consumption data of the power utilization enterprise is acquired by the power efficiency monitoring system, an effective energy consumption characteristic assessment method is provided, scientific energy efficiency analysis is realized, accurate enterprise energy efficiency benchmarking and assessment business is provided, intelligent power utilization service quality is improved, the total energy consumption is reasonably controlled, power supply and demand balance is improved, the emergency guarantee capability of a power grid is improved, energy conservation and emission reduction are promoted, and the method has great significance for the power utilization enterprise and the power grid enterprise. And the energy consumption evaluation analyzes the attributes of all the parties of the object to be evaluated quantitatively and non-quantitatively according to the evaluation standard to obtain a reasonable energy consumption level conclusion about the object to be evaluated. The specific implementation process is as follows: determining an evaluation object; determining a measurement method according to the attributes; selecting a proper evaluation method; and optimizing and comparing the judgment results to obtain a final judgment result. In general, the rationality of the energy consumption evaluation system is evaluated from the following points: (1) the index system needs to be able to comprehensively reflect the attributes of the evaluation objects, that is, consider all the attributes of the evaluation objects that affect the final evaluation target. (2) The energy consumption assessment system and method needs to have reasonable logicality, namely determining which last target or attribute each object attribute has an influence on. (3) The weight of the evaluation index needs to be determined reasonably. Influence values of various attributes of the evaluation object on the upper-level index and the final evaluation target need to be determined, so that the weight of the evaluation system is determined.
Reasonable energy consumption assessment requires the establishment of a complete and scientific index system. The index system is determined according to various attributes of the evaluation object and the internal relation between the final evaluation objects, namely, the object attribute which influences the final evaluation object is determined according to the final evaluation object and the attributes of the evaluation object, and on the basis, establishing a complete evaluation index system and establishing the energy consumption evaluation index system is an important step of energy consumption evaluation. The definition of energy consumption is usually made up of a number of factors, i.e. different flexibility of the evaluation subject. The factors are relatively independent and closely related to the whole system and other factors, each factor has an energy consumption contribution value to the final energy consumption value of the system, and the energy consumption of the whole system is not the simple superposition of the energy consumption values of the factors but needs to consider the weight value of each factor. In order to accurately evaluate the energy consumption of a complex system, a reasonable index evaluation system needs to be established, and the internal relation and weight of an evaluation index are determined, so that scientific energy consumption evaluation is realized.
The effect of energy consumption evaluation depends on the scientificity of an index system, and an independent and complete (considering all factors without repetition) evaluation index system needs to be established. On the basis of an evaluation index system, a reasonable evaluation model is established for energy consumption evaluation of a target system, and then a corresponding evaluation method is adopted to realize energy consumption evaluation of the system. When a user energy consumption evaluation index system is established, the following principles need to be followed:
(1) the index needs to have objectivity
The energy consumption evaluation index is established on the basis of objective investigation, has stronger objectivity and can accurately and comprehensively reflect the energy consumption condition of a user. And the energy consumption evaluation implemented by utilizing the established evaluation index system can improve the energy consumption of the user for a long time.
(2) Scientific feasibility
The designed evaluation index system needs to scientifically reflect the influence and contribution of each attribute of an evaluation object on the energy consumption of the evaluation object, namely the scientificity of the evaluation index system. In addition, the evaluation system needs to have feasibility, that is, the energy consumption evaluation of the evaluation object can be realized by a certain method.
(3) The index system has long-term optimal guidance
The evaluation index system needs to have reasonable weight and can reflect the contribution of different factors to the final evaluation target, so that each comprehensive energy consumption evaluation can guide the optimization and improvement of the energy consumption of the user and the directional development of the energy consumption improvement of the power grid user.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to overcome the defects in the prior art, provides an energy consumption price compensation method and device based on fuzzy comprehensive evaluation, analyzes energy consumption factors influencing the energy consumption characteristics of users, establishes an energy consumption evaluation model and an electricity price compensation scheme, and improves the rationality and feasibility of power grid power dispatching and energy consumption price compensation.
In order to achieve the purpose, the invention adopts the following technical scheme.
In a first aspect, the invention provides an energy consumption price compensation method based on fuzzy comprehensive evaluation, which comprises the following steps:
acquiring index values of the energy consumption characteristic influence factors according to a pre-constructed energy consumption characteristic evaluation factor system,
calculating and obtaining the membership degree of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set based on the index value of each energy consumption characteristic influence factor to form a fuzzy evaluation matrix;
determining the weight coefficient of each energy consumption characteristic influence factor based on a G1 method;
calculating to obtain an energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient;
and calculating to obtain the energy consumption compensation electricity price based on the energy consumption evaluation result and the basic electricity price.
Optionally, the energy consumption characteristic evaluation factor system includes a primary index and a secondary index;
the primary indicators include: energy consumption characteristics and energy price compensation;
the secondary influence factor indexes corresponding to the energy consumption characteristics comprise: user information, energy utilization equipment information, energy utilization rule distribution information, equipment energy saving information, environmental factor influence and comprehensive energy utilization rate;
the secondary influence factor indexes corresponding to the energy price compensation comprise: new energy consumption ratio, energy-saving potential of users, peak-valley electricity price mechanism and two electricity price making mechanisms.
Optionally, the calculating to obtain the membership of each energy consumption characteristic influence factor to each level of judgment includes:
membership r of ith energy consumption characteristic influence factor to jth level judgmentijThe calculation formula of (2) is as follows:
wherein f isijAs the ith energy consumption characteristic influence factor uiIs rated as the jth levelEvaluation vjThe number of times.
Optionally, the determining the weight coefficient of each energy consumption characteristic influence factor based on the G1 method includes:
among the L experts is L1，1<L1<L, bit experts give consistent ordering relationships and are related to SkIs noted as Skh，h＝1,2,..,L1Then, the index average importance coefficient is:
in the formula: skhRepresenting the index importance coefficient given by the h-th expert, h ═ 1,2,3, …, L1；
Calculating the weight akThe formula of (1) is:
ak-1＝Skak(k＝n,n-1,...,2) (9)
by substituting formula (10) for formulae (8) and (9), L1Weight coefficient a determined by bit experti (1)Thereafter, continuing from L-L1Searching whether a consistent sequence relation exists in experts, solving the index average importance degree coefficient according to an expression (10), and continuously calculating the weight a according to expressions (8) and (9)i (2)…, until L remainseThe indexes have different order relations, and L is calculatedeThe weight determined by each expert in the experts is taken as the arithmetic mean value ai (e)The comprehensive results of (1);
the weight coefficients determined by the L experts are:
in the formula, ci＝LiL, by an expert who determines a certain weightDimension is a proportion of the total dimension of the expert.
Optionally, after determining the weight coefficient of each energy consumption characteristic influence factor, the method further includes performing normalization processing on the weight coefficient.
Optionally, the calculating to obtain the energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient includes:
performing hierarchical comprehensive evaluation on the energy consumption characteristics, and firstly calculating the comprehensive evaluation result of each sub-factor of the secondary index:
B＝Ai·Ri＝(b1,...,bi,...,bm) (13)
in the formula: a isikRepresenting the weight, r, of the kth secondary index in the ith primary indexikRepresenting the degree of membership of the kth secondary index in the ith primary index, B representing the degree of membership of the evaluation vector of the primary index, AiRepresenting a fuzzy weight coefficient of a secondary index, RiRepresenting a fuzzy evaluation matrix of a secondary index, wherein m is the number of the primary indexes, namely the number of the sub-factor sets;
after the evaluation results of all the secondary indexes are obtained, comprehensive evaluation is carried out on the primary indexes, an evaluation matrix R of a factor set is formed by membership values B output by the comprehensive evaluation of the secondary factors, fuzzy comprehensive evaluation is carried out, and the formula is as follows:
Val＝∑ai*bi (15)
wherein, aiIs the weight of the primary index;
the final comprehensive evaluation result of the user energy consumption characteristic evaluation is as follows:
V＝max(Val) (16)
wherein V is the final evaluation result.
Optionally, the energy consumption compensation electricity price calculation formula is as follows:
wherein M is the energy consumption compensation electricity price per hour, M is the basic electricity price,
for the compensation coefficient, V is the evaluation result of the energy consumption characteristic evaluation system.
In a second aspect, the present invention provides an energy consumption price compensation device based on fuzzy comprehensive evaluation, including:
an influence factor data acquisition module for acquiring index values of the energy consumption characteristic influence factors according to a pre-constructed energy consumption characteristic evaluation factor system,
the evaluation matrix calculation module is used for calculating and obtaining the membership degree of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set based on the index value of each energy consumption characteristic influence factor to form a fuzzy evaluation matrix;
the weight coefficient determining module is used for determining the weight coefficient of each energy consumption characteristic influence factor based on a G1 method;
the evaluation result calculation module is used for calculating to obtain an energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient;
and the compensation electricity price calculation module is used for calculating to obtain the energy consumption compensation electricity price based on the energy consumption evaluation result and the basic electricity price.
Compared with the prior art, the invention has the following beneficial effects: relevant factors influencing the energy consumption of the user, including the power utilization characteristics of the user and the power dispatching requirement, are evaluated and analyzed through the user energy consumption characteristics based on the fuzzy set comprehensive strategy. The energy consumption and energy saving conditions of the demand side are considered based on the fuzzy set comprehensive strategy, and a plurality of independent and fuzzy factors influencing the energy consumption characteristics and the electricity price compensation of the user are comprehensively and quantitatively evaluated, so that the evaluation model is more comprehensive, reasonable and visual, and has stronger applicability. Compared with a single energy price compensation system, the energy consumption characteristic evaluation and energy consumption price compensation method based on the user is suitable for energy price compensation under multiple scenes, the situation that the current energy price compensation mode is solidified and single is filled, the compensation electricity price is dynamically adjusted according to the evaluation result, and benefits of supply and demand parties are facilitated; and the compensation electricity price can be used as a factor influencing the energy consumption characteristics of the user to carry out negative feedback regulation, so that the power dispatching capability of a region is further optimized, and the energy utilization rate is maximized.
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FIG. 1 is a flow chart of fuzzy synthesis evaluation steps;
fig. 2 is a user energy consumption characteristic evaluation model.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
The invention relates to a user energy consumption characteristic evaluation and energy consumption price compensation method based on fuzzy comprehensive evaluation, which specifically comprises the following steps:
1) user energy consumption characteristic evaluation is carried out by adopting fuzzy comprehensive evaluation method
The fuzzy comprehensive evaluation method is an effective multi-factor decision method for comprehensively evaluating things influenced by various factors. Setting a factor set U-U in fuzzy comprehensive decision1,u2,…,unN factors, and a judgment set V ═ V1,v2,…,vmThe m judgment types are different in the position of various factors, the functions are different, the weights are different, people do not absolutely affirm or deny the judgment, and therefore the comprehensive judgment is a fuzzy subset on V:
wherein, f (V) is a set composed of all fuzzy set subsets on the reference domain V: bj(j ═ 1, 2.. times, m) is set of evaluationsjFor fuzzy sets
The degree of membership of (a) is,
comprehensive judgment
The weights depending on the respective factors, i.e. weight a, are a fuzzy subset on U: a ═ a1,a2,...,an) E f (U) and
wherein a isiRepresenting the weight of the ith factor. Given a weight A, a comprehensive evaluation is obtained accordingly
The fuzzy comprehensive evaluation is to convert qualitative evaluation into quantitative evaluation based on fuzzy mathematic membership theory, i.e. fuzzy mathematic is used for making an overall evaluation on objects or objects restricted by various factors.
And considering the fuzzy degree of the energy consumption characteristics, carrying out hierarchical classification on the influence factors of the energy consumption characteristics, evaluating low-grade indexes by adopting a fuzzy comprehensive evaluation method, evaluating high-grade indexes, and obtaining the overall evaluation level layer by layer.
The evaluation steps of the fuzzy comprehensive evaluation method are shown in fig. 1 and comprise:
in step S1, an energy consumption characteristic factor set is determined.
And establishing an energy consumption characteristic evaluation factor system by combining field actual investigation and energy consumption characteristic influence factor research. The overall evaluation system is shown in fig. 2, and a primary index is formulated: energy consumption characteristics of the user U1, energy price compensation U2. For the energy consumption characteristics of the users, establishing secondary influence factor indexes of the users, including user information u11Energy consumption device information u12Regular distribution of information u13And equipment energy saving information u14Environmental factors influence u15And comprehensive energy utilization rate u16(ii) a The secondary influence factor indexes for energy price compensation comprise: new energy consumption ratio u21Energy saving potential u for users22Peak to valley rate mechanism u23And two electricity price making mechanisms u24。
The energy consumption characteristic influence factor set U is expressed as:
U＝{U1,U2} (2)
wherein, U1＝{u11,u12,u13,u14,u15,u16},U2＝{u21,u22,u23,u24}。
In step S2, an evaluation set is determined.
Let V be { V ═ V1,v2,…,vmAnd the establishment of the evaluation set has a far influence on the evaluation of the energy consumption characteristics. In conjunction with the foregoing, the present invention classifies the evaluation level of energy consumption characteristics into five categories as shown in table 1.
TABLE 1 energy consumption characteristics evaluation set
Step S3, determining a fuzzy evaluation matrix R based on a fuzzy comprehensive evaluation method
And (4) evaluating the single factor, wherein the single factor is calculated by a fuzzy mathematical formula:
fuzzy mappingInjection induced fuzzy relations
Namely, it is
Thus obscuring the relationship
Can be represented by the fuzzy evaluation matrix R as:
wherein n represents the total number of influencing factors (i.e. the number of secondary indexes), m represents the total number of evaluation grade levels, rijThe membership degree of the ith energy consumption characteristic influence factor to the j level judgment is determined by a membership degree function, namely:
wherein f isijAs the ith energy consumption characteristic influence factor uiIs evaluated as the jth level evaluation vjThe number of times.
Step S4, determining a weight coefficient matrix
The weight of the index is a reflection of an objective measure of the degree of importance of the index in the evaluation system. How to determine the weight coefficients is often a core problem in the comprehensive evaluation system.
The probability statistics method excessively depends on the experience of experts, the subjectivity is too strong, one system reflects personal preference of some experts more often, and the problem cannot be comprehensively evaluated; the analytic hierarchy process needs to carry out consistency verification of a matrix, and when index sets are more, the consistency verification is often more complicated and is not concise. The weight setting method based on the G1 group is adopted, the method does not completely depend on the subjective experience of experts, consistency verification is not required to be carried out every time, and the weight setting of each index can be well carried out in the energy consumption characteristic evaluation.
The first step is as follows: determining order relationships
In the evaluation by the G1 method, if a certain energy consumption characteristic influences the factor uiThe importance degree of the relative evaluation criterion is greater than the influence factor u of the energy consumption characteristicsjThen, it is recorded as ui>ujIf the index u is evaluated1,u2,u3…,unHaving the relation u with respect to the evaluation criterioni>ui>…>uk(i, j, … k is 1,2, … n), the evaluation index is said to be "within" each other ">"the order relationship is determined.
The second step is that: determining an importance Scale indicator SkValue of
After determining the order relationship, the influencing factors are concentrated u with respect to the energy consumption characteristicsk-1And ukIs scaled by SkTo show that:
Sk＝ak-1/ak (7)
wherein, akRepresenting the k-th factor U in the energy consumption characteristic influence factor set UkAnd (4) corresponding weight values.
SkThe values are detailed in table 2.
TABLE 2 order relationship and importance Scale indices
The third step: calculating the weight ak
ak-1＝Skak(k＝n,n-1,...,2) (9)
The fourth step: determining composite weights
Designing an expert system, when evaluating the same target, because each expert can determine a set of order relationships, there are two possibilities: the order relationships are not consistent and the order relationships are consistent.
Let L experts have L1(1<L1<L) bit expert gives consistent order relationships and is related to SkIs noted as Skh，h＝1,2,..,L1Then, the index average importance coefficient is:
in the formula: skhRepresenting the index importance coefficient given by the h-th expert, h ═ 1,2,3, …, L1。
By substituting formula (10) for formulae (8) and (9), L1Weight coefficient a determined by bit experti (1)Thereafter, continuing from L-L1Searching whether a consistent sequence relation exists in experts, solving the index average importance degree coefficient according to an expression (10), and continuously calculating the weight a according to expressions (8) and (9)i (2)…, until L remainseThe indexes have different sequence relations. Calculating L from the above equationeThe weight determined by each expert in the experts is taken as the arithmetic mean value ai (e)The comprehensive results of (1).
The weight coefficients determined by the L experts are:
in the formula, ci＝Liand/L is obtained by the proportion of the expert dimension determining a certain weight to the total dimension of the experts.
Due to U2The factor (b) is dynamically changing, resulting in akThe sum of (1) is not necessarily 1, and the index weight normalization processing is performed by the formula (12), and normalizedThe chemical treatment formula is as follows:
in the formula: a iskAnd the weight value before normalization of each index is represented, A' represents a weight value matrix after normalization of each index, and n represents the number of the indexes.
Step S5, determining a comprehensive evaluation model
Performing hierarchical comprehensive evaluation on the energy consumption characteristics, and firstly calculating the comprehensive evaluation result of each sub-factor of the secondary index:
B＝Ai·Ri＝(b1,...,bi,...,bm) (13)
in the formula: a isikRepresenting the weight, r, of the kth secondary index in the ith primary indexikRepresenting the degree of membership of the kth secondary index in the ith primary index, B representing the degree of membership of the evaluation vector of the primary index, AiRepresenting a fuzzy weight coefficient of a secondary index, RiRepresenting a fuzzy evaluation matrix of the secondary indexes, wherein m is the number of the primary indexes, namely the number of the sub-factor sets.
After the evaluation results of the secondary indexes are obtained, comprehensive evaluation is carried out on the primary indexes, namely, fuzzy evaluation space (U, V, R) is evaluated, an evaluation matrix R of a factor set U is formed by membership values B output by comprehensive evaluation of the secondary factors, and fuzzy comprehensive evaluation is carried out, wherein the formula is as follows:
Val＝∑ai*bi (15)
wherein, aiIs the weight of the primary index.
The final comprehensive evaluation system for evaluating the energy consumption characteristics of the users is as follows:
V＝max(Val) (16)
2) and determining energy consumption compensation cost based on the obtained energy consumption evaluation system V.
Step S6, determining the compensation price of electricity
The new energy consumption ratio is an important aspect in realizing energy consumption price compensation, particularly electricity price compensation of large-scale industrial users, and has direct influence on the quality of energy consumption characteristics of the users and the selection of subsequent new energy use strategies, and also has important guiding significance on the determination of the interruption compensation cost of a power grid company.
For a plant with capacity, the power saving potential reflects the difference between the actual product energy consumption level and the advanced level of an enterprise, and reflects the size of the total energy saving space of the enterprise. It is related to the energy utilization structure of the factory production system, the overall architecture of the system, the mode of production operation, the mode of production management and the production content.
The peak-valley electricity price mechanism charges different prices for electricity according to consumption quantity in different time periods in one day or a fixed period aiming at the condition that the marginal cost of power supply at the peak time of the electricity utilization side is higher, and the marginal cost at the off-peak time is lower. The two electricity price making mechanisms are mainly based on reasonably sharing the cost of generating and supplying power capacity and the cost of electric energy, and calculate the electricity fee of the electricity utilization side by respectively using the capacity electricity price and the electricity price. The capacity price mainly reflects the fixed cost of the power plant and is closely related to the type, investment cost, repayment rate, depreciation mode and the like of the power plant; the electricity price mainly reflects the variable cost of the power plant and is closely related to the fuel cost, the material cost and the like. The electricity price compensation conditions under the peak-valley electricity price mechanism and the two electricity price mechanisms are comprehensively considered, and the energy consumption price compensation method is favorably and reasonably formulated.
The invention carries out correlation research on electricity price compensation and energy consumption characteristics, and when a user receives an excitation signal sent by an energy company (in the patent, an electric power company is taken as an example), the user needs to carry out correlation research according to the content of the excitation signal (namely, the two primary indexes, namely the energy consumption characteristics U of the user1And energy price compensation U2) Establishing corresponding secondary indexes, comprehensively considering the multi-party influence factors, and valuating the considered result to realize the energy consumption characteristic evaluation and energy consumption elimination of the userAnd (4) fee price compensation.
Thereby compensating for the energy consumption price (electricity price) according to the following formula.
The energy consumption compensation electricity price is as follows:
wherein M is the hourly compensation electricity price, M is the base electricity price,
to compensate for the coefficient, V is the above-obtained evaluation system.
A certain time period (t)0To tl) The inner compensation electricity price Mon is:
the compensation electricity price can be dynamically changed according to the real-time condition, negative feedback is carried out on factors influencing load scheduling, and regional power scheduling can be further optimized.
Firstly, considering index factors influencing the energy consumption characteristics and energy price compensation of a user, and establishing a comprehensive, objective and scientific index factor set; secondly, determining a user energy consumption grade evaluation set and an evaluation matrix, and judging the membership degree of each influence factor of the energy consumption characteristics to the evaluation set; then, determining the index weight in each sub-factor set by adopting a G1 group method; and finally, comprehensively considering the existing energy consumption price compensation policy and the energy consumption evaluation result, and building an energy consumption price compensation model.
Example 2
Based on the same inventive concept as that of embodiment 1, the present invention provides an energy consumption price compensation device based on fuzzy comprehensive evaluation, including:
an influence factor data acquisition module for acquiring index values of the energy consumption characteristic influence factors according to a pre-constructed energy consumption characteristic evaluation factor system,
the evaluation matrix calculation module is used for calculating and obtaining the membership degree of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set based on the index value of each energy consumption characteristic influence factor to form a fuzzy evaluation matrix;
the weight coefficient determining module is used for determining the weight coefficient of each energy consumption characteristic influence factor based on a G1 method;
the evaluation result calculation module is used for calculating to obtain an energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient;
and the compensation electricity price calculation module is used for calculating to obtain the energy consumption compensation electricity price based on the energy consumption evaluation result and the basic electricity price.
The specific implementation scheme of each module of the device of the invention refers to each implementation step of the method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. An energy consumption price compensation method based on fuzzy comprehensive evaluation is characterized by comprising the following steps:
acquiring index values of the energy consumption characteristic influence factors according to a pre-constructed energy consumption characteristic evaluation factor system,
calculating and obtaining the membership degree of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set based on the index value of each energy consumption characteristic influence factor to form a fuzzy evaluation matrix;
determining the weight coefficient of each energy consumption characteristic influence factor based on a G1 method;
calculating to obtain an energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient;
and calculating to obtain the energy consumption compensation electricity price based on the energy consumption evaluation result and the basic electricity price.
2. The energy consumption price compensation method based on the fuzzy comprehensive evaluation as claimed in claim 1, wherein the energy consumption characteristic evaluation factor system comprises a primary index and a secondary index;
the primary indicators include: energy consumption characteristics and energy price compensation;
the secondary influence factor indexes corresponding to the energy consumption characteristics comprise: user information, energy utilization equipment information, energy utilization rule distribution information, equipment energy saving information, environmental factor influence and comprehensive energy utilization rate;
the secondary influence factor indexes corresponding to the energy price compensation comprise: new energy consumption ratio, energy-saving potential of users, peak-valley electricity price mechanism and two electricity price making mechanisms.
3. The method as claimed in claim 1, wherein the calculating the membership of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set comprises:
membership r of ith energy consumption characteristic influence factor to jth level judgmentijThe calculation formula of (2) is as follows:
wherein f isijAs the ith energy consumption characteristic influence factor uiIs evaluated as the jth level evaluation vjThe number of times.
4. The method as claimed in claim 1, wherein the determining the weight coefficient of each energy consumption characteristic influence factor based on the G1 method comprises:
among the L experts is L1，1<L1<L, bit experts give consistent ordering relationships and are related to SkIs noted as Skh，h＝1,2,..,L1Then, the index average importance coefficient is:
in the formula: skhRepresenting the index importance coefficient given by the h-th expert, h ═ 1,2,3, …, L1；
Calculating the weight akThe formula of (1) is:
ak-1＝Skak(k＝n,n-1,...,2) (9)
by substituting formula (10) for formulae (8) and (9), L1Weight coefficient a determined by bit experti (1)Thereafter, continuing from L-L1Searching whether a consistent sequence relation exists in experts, solving the index average importance degree coefficient according to an expression (10), and continuously calculating the weight a according to expressions (8) and (9)i (2)…, until L remainseThe indexes have different order relations, and L is calculatedeThe weight determined by each expert in the experts is taken as the arithmetic mean value ai (e)The comprehensive results of (1);
the weight coefficients determined by the L experts are:
in the formula, ci＝Liand/L is obtained by the proportion of the expert dimension determining a certain weight to the total dimension of the experts.
5. The method as claimed in claim 1, wherein the step of determining the weight coefficients of the energy consumption characteristic influencing factors further comprises normalizing the weight coefficients.
6. The method as claimed in claim 1, wherein the step of calculating the energy consumption estimation result based on the fuzzy evaluation matrix and the weighting factor comprises:
performing hierarchical comprehensive evaluation on the energy consumption characteristics, and firstly calculating the comprehensive evaluation result of each sub-factor of the secondary index:
B＝Ai·Ri＝(b1,...,bi,...,bm) (13)
in the formula: a isikRepresenting the weight, r, of the kth secondary index in the ith primary indexikRepresenting the degree of membership of the kth secondary index in the ith primary index, B representing the degree of membership of the evaluation vector of the primary index, AiRepresenting a fuzzy weight coefficient of a secondary index, RiRepresenting a fuzzy evaluation matrix of a secondary index, wherein m is the number of the primary indexes, namely the number of the sub-factor sets;
after the evaluation results of all the secondary indexes are obtained, comprehensive evaluation is carried out on the primary indexes, an evaluation matrix R of a factor set is formed by membership values B output by the comprehensive evaluation of the secondary factors, fuzzy comprehensive evaluation is carried out, and the formula is as follows:
Val＝∑ai*bi (15)
wherein, aiIs the weight of the primary index;
the final comprehensive evaluation result of the user energy consumption characteristic evaluation is as follows:
V＝max(Val) (16)
wherein V is the final evaluation result.
7. The energy consumption price compensation method based on the fuzzy comprehensive evaluation as claimed in claim 1, wherein the energy consumption compensation electricity price is calculated by the following formula:
wherein M is the energy consumption compensation electricity price per hour, M is the basic electricity price,
for the compensation coefficient, V is the evaluation result of the energy consumption characteristic evaluation system.
8. An energy consumption price compensation device based on fuzzy comprehensive evaluation is characterized by comprising:
an influence factor data acquisition module for acquiring index values of the energy consumption characteristic influence factors according to a pre-constructed energy consumption characteristic evaluation factor system,
the evaluation matrix calculation module is used for calculating and obtaining the membership degree of each energy consumption characteristic influence factor to each level of evaluation in the energy consumption characteristic evaluation set based on the index value of each energy consumption characteristic influence factor to form a fuzzy evaluation matrix;
the weight coefficient determining module is used for determining the weight coefficient of each energy consumption characteristic influence factor based on a G1 method;
the evaluation result calculation module is used for calculating to obtain an energy consumption evaluation result based on the fuzzy evaluation matrix and the weight coefficient;
and the compensation electricity price calculation module is used for calculating to obtain the energy consumption compensation electricity price based on the energy consumption evaluation result and the basic electricity price.
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| CN106127388A (en) * | 2016-06-24 | 2016-11-16 | 南瑞（武汉）电气设备与工程能效测评中心 | The energy efficiency evaluating method of high energy-consuming enterprises |
| CN110782153A (en) * | 2019-10-23 | 2020-02-11 | 国网湖南省电力有限公司 | Modeling method and system for comprehensive energy efficiency assessment system of enterprise park |
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| CN106127388A (en) * | 2016-06-24 | 2016-11-16 | 南瑞（武汉）电气设备与工程能效测评中心 | The energy efficiency evaluating method of high energy-consuming enterprises |
| CN110782153A (en) * | 2019-10-23 | 2020-02-11 | 国网湖南省电力有限公司 | Modeling method and system for comprehensive energy efficiency assessment system of enterprise park |
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