CN115511297A - Virtual power plant application benefit evaluation method, equipment and storage medium - Google Patents
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Abstract
The invention relates to a virtual power plant application benefit evaluation method, equipment and a storage medium, wherein the method comprises the following steps: s1, constructing a multi-dimensional evaluation index system based on the technical characteristics and popularization and application of a virtual power plant; s2, obtaining the subjective scoring of the evaluation indexes of the virtual power plant by experts through a Delphi method, and calculating the subjective weight of the evaluation indexes by adopting an analytic hierarchy process; calculating objective weight of the evaluation index by adopting an entropy weight method based on the actually measured data of the virtual power plant; and S3, calculating a coupling weight based on the subjective weight and the objective weight, and grading the popularization and application benefits of the virtual power plant. Compared with the prior art, the invention adopts a subjective and objective analysis method combining an analytic hierarchy process and an entropy weight method, makes up the defect of a single weighting method, reflects the technical advantages of the virtual power plant more truly, is more objective and fair in the process of solving the weight index, and improves the accuracy of the benefit evaluation of the popularization and application of the virtual power plant.
Description
Technical Field
The invention relates to the technical field of virtual power plant application, in particular to a virtual power plant application benefit evaluation method, equipment and storage medium
Background
Virtual Power Plants (VPPs) realize integration regulation and control of various distributed resources through resource integration and communication technologies, participate in electric power markets and power grid operation as a whole, and solve the problems of scattered positions, relatively small capacity and difficulty in unified coordination management of photovoltaic power stations, wind power stations, various loads, electric vehicles and distributed energy storage devices.
However, at present, related research of virtual power plant VPP focuses on aspects such as optimized scheduling and acquired microscopic benefits, but the aspect of macroscopic comprehensive benefits brought by virtual power plant VPP technology popularization and application is not considered yet, and evaluation of virtual power plant VPP technology characteristics and comprehensive benefits of popularization and application is developed to scientifically guide new technology fusion development and coordination interaction of diversified terminal energy consumption, so that the virtual power plant VPP system is adapted to higher requirements of low-carbon energy conservation and new energy consumption in a new situation, and is an urgent need. In addition, the existing virtual power plant benefit evaluation method is too objective or subjective and is not suitable for the actual virtual power plant.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method, equipment and a storage medium for evaluating the application benefit of a virtual power plant, which have objectivity and high precision.
The purpose of the invention can be realized by the following technical scheme:
according to a first aspect of the invention, a virtual power plant application benefit evaluation method is provided, which comprises the following steps:
s1, constructing a multi-dimensional evaluation index system based on the technical characteristics and popularization and application of a virtual power plant;
s2, obtaining the subjective scoring of the evaluation indexes of the virtual power plant by experts through a Delphi method, and calculating the subjective weight of each evaluation index by adopting an analytic hierarchy process; based on the actual measurement data of the virtual power plant, calculating the objective weight of each evaluation index by adopting an entropy weight method;
and S3, calculating the coupling weight of each evaluation index based on the subjective weight and the objective weight in the step S2, and grading the application benefits of the virtual power plant.
Preferably, the multi-dimensional evaluation index system constructed in the step S1 based on the technical characteristics and popularization and application of the virtual power plant includes a primary index and a secondary index.
Preferably, the primary index and the secondary index are respectively:
economic indexes are as follows: profit value, turnover, running cost and network loss cost saving;
environmental impact: CO 2 2 Reduced volume of SO 2 The discharge capacity and the coal saving amount are reduced;
social benefits are as follows: new energy consumption, employment rate, policy compliance, new energy consumption, peak load reduction and valley load filling;
technical impact: the technical field has span, technical safety, referential property and achievement transformation.
Preferably, the calculating the subjective weight of the evaluation index by using an analytic hierarchy process in step S2 specifically includes the following substeps:
step S201, constructing a judgment matrix representing the relative importance among all evaluation indexes;
step S202, calculating the maximum eigenvalue of each judgment matrix and the corresponding eigenvector, normalizing the eigenvector, and then evaluating the relative weight of the index in each layer;
step S203, consistency check is carried out;
and step S204, acquiring the subjective weight of each evaluation index.
Preferably, the calculating of the objective weight of the evaluation index based on the measured data of the virtual power plant in the step S2 by using an entropy weight method specifically includes the following substeps:
s211, standardizing the collected actually measured data of the virtual power plant of the set group;
s212, solving the information entropy of each evaluation index;
step S213 calculates an objective weight for each evaluation index.
Preferably, the objective weight of each evaluation index in step S213 is expressed by the following specific mathematical expression:
in the formula (I), the compound is shown in the specification,
is the objective weight of the ith evaluation index, n is the number of evaluation indexes, E i The information entropy is the information entropy of the ith evaluation index.
Preferably, the set group of virtual power plant measured data in step S2 is continuous m-year virtual power plant measured data.
Preferably, in step S3, the coupling weight is calculated based on the subjective weight and the objective weight in step S2, specifically:
step S31, performing subjective and objective weight coupling:
in the formula (I), the compound is shown in the specification,
the subjective weight and the objective weight, alpha, corresponding to the ith evaluation index i 、β i The subjective comprehensive weight coefficient and the objective comprehensive weight coefficient are respectively corresponding to the ith evaluation index, and the mathematical expressions are respectively
Step S32, obtaining the final coupling weight after normalization:
in the formula, ω zh,i Is the coupling weight of the ith evaluation index.
According to a second aspect of the invention, there is provided an electronic device comprising a memory having stored thereon a computer program and a processor that, when executed, performs the method of any one of the above.
According to a third aspect of the invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the preceding claims.
Compared with the prior art, the invention has the following advantages:
1) According to the invention, by adopting an objective analysis method combining an analytic hierarchy process and an entropy weight method, the subjective feeling of experts is obtained, and the entropy weight method is combined with the actual measurement objective data of the virtual power plant, so that the defect of a single weighting method is made up, the technical advantages of the virtual power plant are reflected more truly, the weighting index is more objective and fair in the process of solving the weighting index, and the accuracy of the benefit evaluation of popularization and application of the virtual power plant is improved;
2) The method fully considers the influence of the access of distributed power equipment on a power system, takes the aspects of promoting new energy consumption, mobilizing each aggregation unit to participate in power transaction enthusiasm, improving safe and stable operation of a power grid and the like of a virtual power plant as the key points, comprehensively analyzes the economic influence, the environmental influence, the social influence and the technical application brought by analyzing the virtual power plant technology, constructs a multi-dimensional evaluation index system of the technical characteristics and the popularization and application of the virtual power plant, has a wider evaluation surface, and more meets the technical popularization and application benefit evaluation requirements of the virtual power plant under the current situation.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
Examples
In this embodiment, a domestic virtual power plant is taken as an example, and comprehensive evaluation is performed by combining an Analytic Hierarchy Process (AHP) and an entropy weight method on the basis of acquiring data of 2018 to 2020. Fig. 1 is a detailed flowchart of a virtual power plant promotion technique, which specifically includes the following steps:
step 1, constructing a multidimensional evaluation index system based on the technical characteristics and popularization and application of a virtual power plant, wherein the multidimensional evaluation index system comprises a first-level index and a second-level index which are respectively as follows as shown in table 1:
economic indexes are as follows: profit value, turnover, running cost and network loss cost saving;
environmental impact: CO 2 2 Reduced volume of SO 2 The discharge capacity and the coal saving amount are reduced;
social benefits are as follows: new energy consumption, employment rate, policy compliance, new energy consumption, peak load reduction and valley load filling;
technical impact: the technical field has span, technical safety, referential property and achievement transformation.
TABLE 1
Step 2, consulting experts by issuing questionnaires, using a Delphi method as a judgment basis to obtain evaluation indexes of the experts on the virtual power plant, adopting an Analytic Hierarchy Process (AHP) to judge the importance of each first-level index and each second-level index, and calculating the subjective weight of each index, wherein the method specifically comprises the following substeps:
step 2.1, constructing a judgment matrix representing the relative importance among all the evaluation indexes:
step 2.2, calculating the maximum eigenvalue of each judgment matrix and the corresponding eigenvector, and after normalizing the eigenvector, evaluating the relative weight of the index in each layer;
step 2.3, consistency check is carried out;
in the formula, λ max In order to judge the maximum eigenvalue of the matrix, n is the number of evaluation indexes; the following table 2 sets the value range of RI; when CR is less than 0.1, the consistency of the judgment matrix is considered to be acceptable, otherwise, the judgment matrix is properly modified, and the consistency of the modified judgment matrix is evaluated until CR is less than 0.1.
TABLE 2
| Number of matrix orders (n) | 3 | 4 | 5 | 6 |
| RI | 0.58 | 0.90 | 1.12 | 1.24 |
And 2.4, acquiring the subjective weight of each evaluation index.
And 3, in order to avoid errors caused by subjective weight, combining measured data of the virtual power plant in nearly three years, and calculating to obtain objective weight of each index by adopting an entropy weight method as shown in the following table 3.
TABLE 3
The entropy weight method is used for calculating and obtaining the objective weight of each index, and the specific steps are as follows:
construction of evaluation matrix X = { X = { [ X ] ij } n×m I =1,1, a.., n, j =1,2, a.., m, wherein n is the number of evaluation indexes, and m is the number of the acquired virtual power plant measured data groups;
step 3.1, standardizing the collected actually measured data of the virtual power plant:
in the formula, x ij Is the j group objective value of the i evaluation index, min j {x ij Is the minimum value, max, of the ith evaluation index in all groups j {x ij The ith evaluation index is the maximum value of all groups;
step 3.2, solving the information entropy of each evaluation index:
in the formula, E i The information entropy corresponding to the ith evaluation index is obtained, n is the number of the evaluation indexes, and m is the number of actually measured data groups of the virtual power plant; y is ij Is the normalized objective value of step S211; p ij The weight of the ith evaluation index in the jth group is set;
step 3.3, calculating the objective weight of each evaluation index:
in the formula (I), the compound is shown in the specification,
is the objective weight of the ith evaluation index, n is the number of evaluation indexes, E i The information entropy is the information entropy of the ith evaluation index.
And 4, calculating the coupling weight of each evaluation index based on the obtained subjective weight and objective weight, and grading the application benefits of the virtual power plant.
The solving process of the coupling weight of each evaluation index specifically comprises the following steps:
1) Performing subjective and objective weight coupling:
in the formula (I), the compound is shown in the specification,
the subjective weight and the objective weight, alpha, corresponding to the ith evaluation index i 、β i Are respectively asThe subjective comprehensive weight coefficient and the objective comprehensive weight coefficient corresponding to the ith evaluation index respectively have mathematical expressions of
2) And obtaining the final coupling weight after normalization:
in the formula, ω zh,i Is the coupling weight of the ith evaluation index.
The electronic device of the present invention includes a Central Processing Unit (CPU) that can perform various appropriate actions and processes according to computer program instructions stored in a Read Only Memory (ROM) or computer program instructions loaded from a storage unit into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the device can also be stored. The CPU, ROM, and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
A plurality of components in the device are connected to the I/O interface, including: an input unit such as a keyboard, a mouse, etc.; an output unit such as various types of displays, speakers, and the like; storage units such as magnetic disks, optical disks, and the like; and a communication unit such as a network card, modem, wireless communication transceiver, etc. The communication unit allows the device to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processing unit executes the respective methods and processes described above, such as the methods S1 to S3. For example, in some embodiments, methods S1-S3 may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device via ROM and/or the communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more of the steps of methods S1-S3 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to perform methods S1-S3 in any other suitable manner (e.g., by way of firmware).
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A virtual power plant application benefit assessment method is characterized by comprising the following steps:
s1, constructing a multi-dimensional evaluation index system based on the technical characteristics and popularization and application of a virtual power plant;
s2, obtaining the subjective scoring of the evaluation indexes of the virtual power plant by experts through a Delphi method, and calculating the subjective weight of each evaluation index by adopting an analytic hierarchy process; based on the actual measurement data of the virtual power plant, calculating the objective weight of each evaluation index by adopting an entropy weight method;
and S3, calculating the coupling weight of each evaluation index based on the subjective weight and the objective weight in the step S2, and scoring the application benefit of the virtual power plant.
2. The virtual power plant application benefit evaluation method according to claim 1, wherein the multi-dimensional evaluation index system constructed in the step S1 based on the technical characteristics and popularization and application of the virtual power plant comprises a primary index and a secondary index.
3. The virtual power plant application benefit evaluation method according to claim 2, wherein the primary index and the secondary index are respectively:
economic indexes are as follows: profit value, turnover, running cost and network loss cost saving;
environmental impact: CO 2 2 Reduced volume of SO 2 The discharge capacity and the coal saving amount are reduced;
social benefits are as follows: new energy consumption, employment rate, policy compliance, new energy consumption, peak load reduction and valley load filling;
technical impact: the technical field has span, technical safety, referential property and achievement transformation.
4. The virtual power plant application benefit evaluation method according to claim 2, wherein the step S2 of calculating the subjective weight of the evaluation index by using an analytic hierarchy process specifically comprises the following substeps:
step S201, constructing a judgment matrix representing the relative importance among all the evaluation indexes;
step S202, calculating the maximum eigenvalue of each judgment matrix and the corresponding eigenvector, normalizing the eigenvector, and then evaluating the relative weight of the index in each layer;
step S203, carrying out consistency check;
and step S204, acquiring the subjective weight of each evaluation index.
5. The virtual power plant application benefit evaluation method according to claim 2, wherein the step S2 of calculating the objective weight of the evaluation index by an entropy weight method based on the virtual power plant measured data specifically comprises the following substeps:
step S211, standardizing the collected actually measured data of the virtual power plant of the set group;
step S212, solving the information entropy of each evaluation index;
step S213 calculates an objective weight for each evaluation index.
6. The virtual power plant application benefit evaluation method according to claim 5, wherein the objective weight of each evaluation index in the step S213 is represented by a specific mathematical expression:
in the formula (I), the compound is shown in the specification,
is the objective weight of the ith evaluation index, n is the number of evaluation indexes, E i The information entropy is the information entropy of the ith evaluation index.
7. The method of claim 5, wherein the set of virtual plant measured data in step S2 is continuous m years of virtual plant measured data.
8. The virtual power plant application benefit evaluation method according to claim 1, wherein the step S3 is based on the subjective weight and the objective weight in the step S2, and the step of calculating the coupling weight specifically comprises the following steps:
step S31, performing subjective and objective weight coupling:
in the formula (I), the compound is shown in the specification,
the subjective weight and the objective weight, alpha, corresponding to the ith evaluation index i 、β i The subjective comprehensive weight coefficient and the objective comprehensive weight coefficient are respectively corresponding to the ith evaluation index, and the mathematical expressions are respectively
Step S32, obtaining the final coupling weight after normalization:
in the formula, ω zh,i Is the coupling weight of the ith evaluation index.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the program, implements the method of any of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
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