CN110766426A - Electricity price making method and device - Google Patents
Electricity price making method and device Download PDFInfo
- Publication number
- CN110766426A CN110766426A CN201810827442.1A CN201810827442A CN110766426A CN 110766426 A CN110766426 A CN 110766426A CN 201810827442 A CN201810827442 A CN 201810827442A CN 110766426 A CN110766426 A CN 110766426A
- Authority
- CN
- China
- Prior art keywords
- reliability
- index
- indexes
- obtaining
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 101
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000011156 evaluation Methods 0.000 claims abstract description 79
- 238000009826 distribution Methods 0.000 claims abstract description 14
- 239000011159 matrix material Substances 0.000 claims description 50
- 230000008569 process Effects 0.000 claims description 23
- 238000012545 processing Methods 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 4
- 230000005484 gravity Effects 0.000 claims description 3
- 230000006872 improvement Effects 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 claims description 2
- 230000008901 benefit Effects 0.000 abstract description 8
- 230000004069 differentiation Effects 0.000 abstract description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012546 transfer Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000010668 complexation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides an electricity price making method and device, wherein the method comprises the following steps: acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes; establishing a user evaluation index system, and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system; and obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weights of the one or more guide electricity prices and the one or more reliability indexes. According to the electricity price making method and device provided by the embodiment of the invention, the user evaluation systems are respectively established for different users, and different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined, the differentiation requirements of different users can be met, the problem that the subjective feeling of the reliability index importance degrees of different users is difficult to evaluate during the pricing of the power distribution network is solved, and the economic benefit problems of power suppliers and users are considered at the same time.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and a device for making electricity prices.
Background
In the conventional power grid planning and optimization process, reliability and economy are two main planning targets. In terms of reliability, the quality of electric energy needs to be improved as much as possible, and the power failure times and the power failure time are reduced; on the basis of meeting certain reliability, the economic efficiency pursues the minimization of investment and operation oil waste. Generally, due to the lack of uniform indices, it is difficult to optimize both simultaneously. With the continuous development of the power market, how to give consideration to the economic benefits of both market power supply and power utilization parties is an important task to formulate a relatively reasonable power price mechanism based on the power utilization requirements of different users.
The existing method for calculating the weight mainly comprises an analytic hierarchy process, a comparison judgment matrix is established by expert scoring, a characteristic vector of the matrix is calculated and consistency check is carried out, the process is complex, and evaluation efficiency is not high. The analytic hierarchy process includes decomposing the decision problem into different hierarchical structures according to the sequence of the total target, sub targets of each layer, evaluation criteria and specific spare power switching scheme, solving and judging matrix characteristic vector to obtain the priority weight of each element of each layer to one element of the previous layer, and finally conducting hierarchical weighted sum to merge the final weight of each spare power switching scheme to the total target, wherein the maximum weight is the optimal scheme.
The existing electricity price making method does not consider the electricity utilization requirements of different users, cannot objectively evaluate the importance degree of each reliability index, and does not give consideration to the benefits of both power suppliers and users.
Disclosure of Invention
In order to solve the technical defects, the embodiment of the invention provides a method and a device for making electricity prices.
In a first aspect, an embodiment of the present invention provides an electricity price making method, including:
acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes;
establishing a user evaluation index system, and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system;
and obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
In a second aspect, an embodiment of the present invention provides an electricity price making device, including:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes;
the system comprises a first processing module, a second processing module and a third processing module, wherein the first processing module is used for establishing a user evaluation index system and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system;
and the second processing module is used for obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
In a third aspect, an embodiment of the present invention provides an electricity price making device, including a memory and a processor, where the processor and the memory complete communication with each other through a bus; the memory stores program instructions executable by the processor, the processor being capable of performing the method of the first aspect when invoked by the processor.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing the electricity price making method according to the first aspect.
According to the electricity price making method and the electricity price making device, the user evaluation systems are respectively established for different users, different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined, the differentiation requirements of different users can be met, the problem that the subjective feelings of the different users on the importance degree of the reliability index are difficult to evaluate when the power distribution network is priced is solved, the economic benefit problem of power suppliers and users is considered, and the electricity price making method considering the electricity consumption requirements of the users under the more optimized market trading environment is made.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for pricing electricity according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an electricity price making device according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electricity price making device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying 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, are within the scope of the present invention.
Fig. 1 is a schematic flow chart of a method for setting electricity prices according to an embodiment of the present invention, as shown in fig. 1, including:
and step 13, obtaining the user comprehensive electricity price of the load point of the power system according to the one or more guide electricity prices and the comprehensive weight of the one or more reliability indexes.
The electricity price making method provided by the embodiment of the invention is used for meeting the differentiated requirements of different users, and determining different index weights by establishing evaluation index systems of different users so as to determine the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users.
Firstly, one or more reliability indexes are selected, and one or more guide electricity prices of the load point of the power system aiming at the one or more reliability indexes are obtained. The reliability of the power system comprises two aspects: namely adequacy and safety. The abundance refers to the fact that a power system has enough power generation capacity and enough power transmission capacity, peak load requirements of users can be met at any time, steady-state performance of a power grid is represented, the safety refers to the safety of the power system in an accident state and the capability of avoiding chain reaction without causing runaway and large-area power failure, and dynamic performance of the power system is represented. For the meaning of the reliability of the power system, and the category of the actual user, a corresponding index can be selected as the reliability index. And after the reliability indexes are selected, acquiring the guide electricity prices corresponding to the reliability indexes according to the reliability evaluation program of the power distribution network.
Then, a user evaluation index system needs to be established. Before establishing a user evaluation index system, users of the power system need to be classified. The classification of power system users is generally as follows: industry attribute classification (first industry, second industry, third industry); classifying power consumers according to power utilization properties; according to a method for distinguishing VIP customers of a power supply enterprise (users who can profit the power supply enterprise and have high customer value can be realized due to large electricity consumption, high contribution rate, high loyalty and the like); classifying according to importance degree (comprehensively evaluating the importance of important power users and classifying according to importance level); and classifying the power users by utilizing the load characteristic curve. The selection of the specific classification mode needs to be based on actual conditions. After user classification, a user evaluation index system is established for a certain type of users, and comprehensive weight corresponding to each reliability index of the type of users is obtained.
And finally, according to the obtained one or more guide electricity prices and the comprehensive weight corresponding to each reliability index, the electricity prices obtained by the single index are used for obtaining the multi-index user comprehensive electricity prices of the load points of the power system through weighting.
For example, the three most concerned aspects of the power distribution network user are electric quantity, frequency and time, and in view of this, the following three indexes are selected as reliability indexes:
the power supply shortage EES is called E for short;
average power failure frequency AIFI, F for short;
average power failure time AIDI, D for short.
According to the reliability evaluation program of the power distribution network, acquiring guide electricity prices corresponding to three reliability indexes of a load point i of the power system, wherein the guide electricity prices are Pi(Ei)、Pi(Fi)、Pi(Di)。
Then, user classification is carried out, a certain class of users is selected to establish a user evaluation index system, and comprehensive weights corresponding to three reliability indexes of the class of users are obtained, wherein the comprehensive weights are αi(E)、βi(F)、γi(D)。
Finally, based on the above factors, the electricity prices obtained by using the single index form a multi-index comprehensive electricity price through weighting, and the formula is as follows:
Pi＝αi(E)Pi(E)+βi(F)Pi(F)+γi(D)Pi(D)
in the formula, PiFor a certain load point i user's integrated electricity price αi(E)、βi(F)、γi(D) The aggregate weight of the power supply reliability indicators E, F and D for load point i users, respectively, due to the usersThe characteristics are different, the importance degree of the power supply reliability index is also different, and the three satisfy the following relations:
αi(E)+βi(F)+γi(D)＝1。
according to the electricity price making method provided by the embodiment of the invention, the users are classified, the user evaluation systems are respectively established for different users, and different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined, the differentiation requirements of different users can be met, the problem that the subjective feelings of the different users on the importance degree of the reliability index are difficult to evaluate during the pricing of the power distribution network is solved, and the economic benefits of power suppliers and users are taken into consideration.
On the basis of the foregoing embodiments, the acquiring one or more guide electricity prices of the load point of the power system for one or more reliability indicators specifically includes:
selecting one or more reliability indexes;
obtaining a value of each reliability index of the load point of the power system according to a reliability evaluation program of the power distribution network;
and obtaining one or more guide electricity prices aiming at the one or more reliability indexes according to the change value of each reliability index of the power system load point.
Firstly, one or more corresponding reliability indexes are selected, and an electricity price model based on each reliability index is established. For example, in view of the fact that the electric quantity, the frequency and the time are the three indexes most concerned by the power distribution network user, the following three indexes can be selected, and an electricity price model based on each reliability index is established:
the power supply shortage EES is called E for short;
average power failure frequency AIFI, F for short;
average power failure time AIDI, D for short.
And then, obtaining the value of each reliability index of the load point of the power system according to the reliability evaluation program of the power distribution network. At the load point i, the values corresponding to the reliability index E, F, D are respectively Ei、Fi、Di。
And finally, obtaining one or more guide electricity prices aiming at the one or more reliability indexes according to the change value of each reliability index of the power system load point.
The obtaining one or more guide electricity prices for the one or more reliability indexes according to the value of each reliability index of the load point of the power system and the change value of the power supply reliability rate specifically includes:
aiming at any reliability index E, obtaining the power supply reliability from R0To RiThe unit load, in time, increases the cost M, wherein,
wherein Δ R ═ Ri-R0For the variation value of the power supply reliability, L is the line load, and Delta C is the power supply reliability from R0To RiThe change in production cost;
obtaining a guiding electricity price P (E) based on a reliability index E according to the unit load improvement cost M and the change value of the power supply reliabilityi) Wherein, in the step (A),
in the formula, P0The power supply reliability is R0Guiding the price of electricity when it is charged, EiAnd obtaining the value of the reliability index E of the load point of the power system after the reliability is improved.
According to the electricity price making method provided by the embodiment of the invention, one or more guide electricity prices aiming at one or more reliability indexes are obtained by selecting the reliability indexes and establishing the electricity price model based on the reliability indexes, so that the comprehensive electricity price acquisition of a user in the future is paved.
On the basis of the above embodiment, the establishing a user evaluation index system, and obtaining the comprehensive weight of one or more reliability indexes according to the user evaluation index system specifically include:
obtaining an evaluation score of the one or more reliability indicators;
establishing a user evaluation index system by improving an analytic hierarchy process based on the evaluation scores of the one or more reliability indexes;
acquiring the weight of the one or more reliability indexes according to the user evaluation index system;
and acquiring comprehensive weights corresponding to the one or more reliability indexes based on the weights of the one or more reliability indexes and a preset specific gravity.
For a certain class of users, after the reliability indexes are selected, each reliability index needs to be evaluated and scored, and then a user evaluation index system is established according to an improved analytic hierarchy process. The basic principle for constructing the index evaluation system is as follows: pertinence, completeness, testability, comparability, scientificity and dynamicity. In the existing analytic hierarchy process, a comparison and judgment matrix is established by expert scoring, and a characteristic vector of the comparison and judgment matrix is calculated and consistency check is carried out. According to the embodiment of the invention, the analytic hierarchy process is improved under the principle, so that consistency check of the judgment matrix is avoided, and the evaluation efficiency is improved. A user evaluation system is established for various user reliability indexes, and each reliability index is evaluated and scored from three aspects of users, experts and power supply units in two levels.
And after the evaluation scores of each reliability index of the users, the experts and the power supply units are obtained, the weights of the reliability indexes are obtained by respectively utilizing an improved analytic hierarchy process. Assuming that the reliability indexes are E, F and D, taking the evaluation scores of the users on the reliability indexes as an example, firstly, a comparison judgment matrix is constructed according to the evaluation scores of the users, and then, the weights of the E, F reliability indexes and the D reliability indexes are obtained by processing, wherein the weights are Y respectivelyE、YF、YDSimilarly, the weights of the three reliability indicators on the expert side E, F and D are ZE、ZF、ZDThe weights of the E, F and D reliability indexes in the aspect of the power supply unit are GE、GF、GD。
Respectively with B1、B2、B3Representing a predetermined proportion of statistics from three aspects, namely user, expert and power supply unit, B1、B2、B3The sum is 1.
And calculating to obtain comprehensive weight corresponding to the one or more reliability indexes according to the weight of the one or more reliability indexes and the preset proportion.
For example, the overall weight of the reliability index E is:
αi(E)＝YEB1+ZEB2+GEB3，
the comprehensive weight of the reliability index F is as follows:
βi(F)＝YFB1+ZFB2+GFB3，
the comprehensive weight of the reliability index D is as follows:
γi(D)＝YDB1+ZDB2+GDB3。
according to the electricity price making method provided by the embodiment of the invention, the user evaluation systems are respectively established for different users, and different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined, the differentiation requirements of different users can be met, the problem that the subjective feelings of different users on the importance degree of the reliability index are difficult to evaluate during the pricing of the power distribution network is solved, meanwhile, the consistency check of a judgment matrix is avoided through an improved analytic hierarchy process, and the evaluation efficiency is improved.
On the basis of the above embodiment, the establishing a user evaluation index system by improving an analytic hierarchy process based on the evaluation score of the one or more reliability indexes specifically includes:
constructing a comparison matrix A for the evaluation scores of the one or more reliability indicators, wherein:
obtaining a ranking index r according to the comparison matrix AiWherein:
according to the ranking index riConstructing a judgment matrix BijWherein B isijElement b ofijIs obtained by the following formula:
in the formula, rmax＝max(ri)，rmin＝min(ri)，
The obtaining the weight of the one or more reliability indexes according to the user evaluation index system specifically includes:
constructing the judgment matrix BijQuasi-optimal uniform matrix CijWherein the pseudo-optimal uniform matrix CijElement c ofijIs obtained by the following formula:
computing the pseudo-optimal consistent matrix CijThe feature vector corresponding to the maximum feature value of (1);
and normalizing the feature vector to obtain the weight of the one or more reliability indexes.
For the three aspects of the user, the expert and the power supply unit, similar user evaluation index system establishing processes are needed, and the weight of each reliability index on the aspect of the user, the weight of each reliability index on the aspect of the expert and the weight of each reliability index on the aspect of the power supply unit are respectively calculated through an improved analytic hierarchy process.
Taking the weight of each reliability index in the aspect of the user as an example, the selected reliability indexes are as follows:
the power supply shortage EES is called E for short;
average power failure frequency AIFI, F for short;
average power failure time AIDI, D for short.
Firstly, a reliability index evaluation system is established according to evaluation scores of a user, an expert and a power supply unit on three reliability indexes, and the basic principle for establishing the index evaluation system is as follows: pertinence, completeness, testability, comparability, scientificity and dynamicity. Under the principle, a user evaluation system is established for various user reliability indexes, and the reliability indexes E (power shortage amount), F (average power failure frequency) and D (average power failure time) are evaluated and scored in pairs from the aspects of users, experts and power supply units in two levels. Respectively with B1、B2、B3Representing weights from user, expert, power unit statistics, B1、B2、B3The sum is 1, here taken to be 1/3. Respectively using C1E、C2F、C3DIndicating that the evaluation of the reliability index E, F, D was scored.
TABLE 1 reliability index evaluation System
And respectively constructing comparison matrixes according to the scores of the users, the experts and the power supply units. Taking user scoring as an example, assume that the user scoring results are shown in the following table:
TABLE 2 user evaluation scoring results
Constructing element a in comparison matrix A, A by using three-degree methodijIs obtained by the following formula:
then
Obtaining a ranking index r according to the comparison matrix AiWherein:
then r is1＝1，r2＝5，r3＝3，rmax＝5，rmin＝1，km＝5。
According to the ranking index riConstructing a judgment matrix BijWherein B isijElement b ofijIs obtained by the following formula:
then matrix BijComprises the following steps:
reconstructing the judgment matrix BijQuasi-optimal uniform matrix CijWherein a pseudo-optimal uniform matrix CijElement c ofijIs obtained by the following formula:
computing the pseudo-optimal consistent matrix CijThe feature vector corresponding to the maximum feature value of (a) is normalized to obtain the weights of the three reliability indexes E, F and D on the user side.
The weight of a certain element at a certain level relative to a certain element at the previous level is obtained according to the steps and is called the hierarchical single ordering. And repeating the steps to finish the hierarchical single sequencing of the elements of each layer. The importance ranking of the bottom level elements relative to the top level elements is calculated and is called the overall ranking of the hierarchy. Taking three layers as an example, the weight of the third layer element relative to the first layer element is calculated as follows.
Wherein m is the number of elements, n is the number of reliability indexes, and ω isajRepresenting the weight, ω, of the element j relative to the target layerbijAnd representing the weight of the index i relative to the element j, and obtaining the weight of the index layer relative to the target layer. If there is no link between index i and element j, ω isbij＝0。
In the same way, the weights of the three reliability indexes E, F and D on the expert side and the power supply unit side can be calculated and combined with the preset specific gravity B1、B2And B3And calculating to obtain the comprehensive weight of the three reliability indexes.
According to the electricity price making method provided by the embodiment of the invention, through an improved analytic hierarchy process, evaluation index systems of different users are established, and different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined. The consistency check of the judgment matrix is avoided, the evaluation efficiency is improved, the problem that the subjective feelings of different users on the importance degree of the reliability index are difficult to evaluate in the process of pricing the power distribution network is solved, and the economic benefit problems of power suppliers and users are considered.
On the basis of the foregoing embodiment, the constructing a comparison matrix a for the evaluation scores of the one or more reliability indicators specifically includes:
constructing a comparison matrix A by a three-scale method according to the evaluation scores of the one or more reliability indexes, wherein the element a in the comparison matrix AijIs obtained by the following formula:
the judgment matrix of the existing analytic hierarchy process usually adopts a nine-scale method, so that experts have more choices when determining the relative importance degree of factors, the subjectivity is strong, and the difficulty in making accurate judgment is high. Moreover, once the decision matrix does not pass the consistency check, the decision matrix needs to be reconstructed until the check is passed.
Aiming at the defects existing in the traditional analytic hierarchy process, the improved analytic hierarchy process proposes to replace a nine-scale process with a three-scale process, wherein the comparison result of an element i and an element j is {0, 1, 2}, 0 represents that i is not important, 1 represents that i is equally important, and 2 represents that i is more important than j. Compared with a nine-scale method, the three-scale method reduces the judgment difficulty and reduces the influence of human subjectivity on the evaluation result; the optimal transfer matrix is used for constructing the judgment matrix, the weight of each element can be directly solved, consistency check of the judgment matrix is not needed, the calculated amount is reduced, and the evaluation efficiency is improved.
The values of the elements of the comparison matrix reflect the relative importance of the various factors. In this model, a three-scale method of 0, 1, 2 is used for scaling, resulting in a comparison matrix a.
For example, based on the user evaluation scoring results, a comparison matrix A is constructed using a three-scale method, where reliability indexes are E, F and D, C1E、C2FAnd C3DThe user is scored for reliability index E, F and D, respectively.
According to the scoring result, the most important of the reliability indexes is F, D times and E is the last, so that the comparison matrix A is as follows:
according to the electricity price making method provided by the embodiment of the invention, a three-scale method is provided to replace a nine-scale method, and compared with the nine-scale method, the three-scale method reduces the judgment difficulty and reduces the influence of human subjectivity on the evaluation result; the optimal transfer matrix is used for constructing the judgment matrix, the weight of each element can be directly solved, consistency check of the judgment matrix is not needed, the calculated amount is reduced, and the evaluation efficiency is improved.
Fig. 2 is a schematic structural diagram of an electricity price making device according to an embodiment of the present invention, as shown in fig. 2, including: an obtaining module 21, a first processing module 22 and a second processing module 23, wherein: the obtaining module 21 is configured to obtain one or more guide electricity prices of the power system load point for one or more reliability indexes; the first processing module 22 is configured to establish a user evaluation index system, and obtain a comprehensive weight of one or more reliability indexes according to the user evaluation index system; the second processing module 23 is configured to obtain a user integrated electricity price of the power system load point according to the integrated weight of the one or more guide electricity prices and the one or more reliability indexes.
First, the obtaining module 21 is to select one or more reliability indexes, and obtain one or more guiding electricity prices of the power system load point for the one or more reliability indexes. The reliability of the power system comprises two aspects: namely adequacy and safety. The abundance refers to the fact that a power system has enough power generation capacity and enough power transmission capacity, peak load requirements of users can be met at any time, steady-state performance of a power grid is represented, the safety refers to the safety of the power system in an accident state and the capability of avoiding chain reaction without causing runaway and large-area power failure, and dynamic performance of the power system is represented. For the meaning of the reliability of the power system, and the category of the actual user, a corresponding index can be selected as the reliability index. After the reliability index is selected, the obtaining module 21 obtains the guide electricity price corresponding to each reliability index according to the power distribution network reliability evaluation program.
The first processing module 22 then needs to establish a user rating index system. Before establishing a user evaluation index system, users of the power system need to be classified. The classification of power system users is generally as follows: industry attribute classification (first industry, second industry, third industry); classifying power consumers according to power utilization properties; according to a method for distinguishing VIP customers of a power supply enterprise (users who can profit the power supply enterprise and have high customer value can be realized due to large electricity consumption, high contribution rate, high loyalty and the like); classifying according to importance degree (comprehensively evaluating the importance of important power users and classifying according to importance level); and classifying the power users by utilizing the load characteristic curve. The selection of the specific classification mode needs to be based on actual conditions. After the first processing module 22 classifies users, a user evaluation index system is established for a certain class of users, and a comprehensive weight corresponding to each reliability index of the class of users is obtained.
Finally, the second processing module 23 obtains the multi-index user comprehensive electricity price of the load point of the power system by weighting the electricity price obtained by the single index according to the obtained one or more guiding electricity prices and the comprehensive weight corresponding to each reliability index. The apparatus provided in the embodiment of the present invention is used for executing the above method embodiments, and for detailed descriptions and specific processes, reference is made to the above method embodiments, which are not described herein again.
According to the electricity price making device provided by the embodiment of the invention, the users are classified, the user evaluation systems are respectively established for different users, and different index weights are determined, so that the comprehensive weight of the influence degree of each reliability index on the current electricity prices of different types of users is determined, the differentiation requirements of different users can be met, the problem that the subjective feelings of the different users on the importance degree of the reliability index are difficult to evaluate during the pricing of the power distribution network is solved, and the economic benefits of power suppliers and users are taken into consideration.
Fig. 3 illustrates a physical structure diagram of an electricity price making apparatus, and as shown in fig. 3, the electronic apparatus may include: a processor (processor)31, a communication Interface (communication Interface)32, a memory (memory)33 and a bus 34, wherein the processor 31, the communication Interface 32 and the memory 33 are communicated with each other via the bus 34. Bus 34 may be used for information transfer between the electronic device and the sensor. The processor 31 may call logic instructions in the memory 33 to perform the following method: acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes; establishing a user evaluation index system, and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system; and obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
In addition, the logic instructions in the memory 33 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions cause a computer to execute the electricity price making method provided in the foregoing embodiment, for example, the method includes: acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes; establishing a user evaluation index system, and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system; and obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Various modifications and additions may be made to the described embodiments by those skilled in the art without departing from the spirit of the invention or exceeding the scope as defined in the appended claims.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of pricing electricity, comprising:
acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes;
establishing a user evaluation index system, and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system;
and obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
2. The method according to claim 1, wherein the obtaining one or more guide electricity prices of the power system load point for one or more reliability indicators specifically comprises:
selecting one or more reliability indexes;
obtaining a value of each reliability index of the load point of the power system according to a reliability evaluation program of the power distribution network;
and obtaining one or more guide electricity prices aiming at the one or more reliability indexes according to the value of each reliability index of the load point of the power system and the change value of the power supply reliability.
3. The method according to claim 2, wherein the obtaining one or more guide electricity prices for the one or more reliability indicators according to the value of each reliability indicator of the load point of the power system and the variation value of the power supply reliability rate specifically comprises:
aiming at any reliability index, obtaining the power supply reliability from R0To RiThe unit load, in time, increases the cost M, wherein,
wherein Δ R ═ Ri-R0For the variation value of the power supply reliability, L is the line load, and Delta C is the power supply reliability from R0To RiThe change in production cost;
obtaining a guiding electricity price P (E) based on a reliability index E according to the unit load improvement cost M and the change value of the power supply reliabilityi) Wherein, in the step (A),
in the formula, P0The power supply reliability is R0Guiding the price of electricity when it is charged, EiAnd obtaining the value of the reliability index E of the load point of the power system after the reliability is improved.
4. The method according to claim 1, wherein the establishing a user evaluation index system, and obtaining the comprehensive weight of one or more reliability indexes according to the user evaluation index system specifically comprises:
obtaining an evaluation score of the one or more reliability indicators;
establishing a user evaluation index system by improving an analytic hierarchy process based on the evaluation scores of the one or more reliability indexes;
acquiring the weight of the one or more reliability indexes according to the user evaluation index system;
and acquiring comprehensive weights corresponding to the one or more reliability indexes based on the weights of the one or more reliability indexes and a preset specific gravity.
5. The method according to claim 4, wherein the establishing a user evaluation index system by improving an analytic hierarchy process based on the evaluation score of the one or more reliability indexes comprises:
constructing a comparison matrix A for the evaluation scores of the one or more reliability indicators, wherein:
obtaining a ranking index r according to the comparison matrix AiWherein:
according to the ranking index riConstructing a judgment matrix BijWherein B isijElement b ofijIs obtained by the following formula:
in the formula, rmax＝max(ri)，rmin＝min(ri)，
6. The method according to claim 5, wherein the obtaining the weight of the one or more reliability indicators according to the user evaluation indicator system specifically comprises:
constructing the judgment matrix BijQuasi-optimal uniform matrix CijWherein the pseudo-optimal uniform matrix CijElement c ofijIs obtained by the following formula:
computing the pseudo-optimal consistent matrix CijThe feature vector corresponding to the maximum feature value of (1);
and normalizing the feature vector to obtain the weight of the one or more reliability indexes.
7. The method according to claim 5, wherein the constructing of the comparison matrix A for the evaluation scores of the one or more reliability indicators comprises:
constructing a comparison matrix A by a three-scale method according to the evaluation scores of the one or more reliability indexes, wherein the element a in the comparison matrix AijIs obtained by the following formula:
8. an electricity price formulating device characterized by comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring one or more guide electricity prices of a load point of the power system aiming at one or more reliability indexes;
the system comprises a first processing module, a second processing module and a third processing module, wherein the first processing module is used for establishing a user evaluation index system and acquiring the comprehensive weight of one or more reliability indexes according to the user evaluation index system;
and the second processing module is used for obtaining the user comprehensive electricity price of the load point of the power system according to the comprehensive weight of the one or more guide electricity prices and the one or more reliability indexes.
9. The electricity price making device is characterized by comprising a memory and a processor, wherein the processor and the memory are communicated with each other through a bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 7.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the electricity pricing method according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810827442.1A CN110766426A (en) | 2018-07-25 | 2018-07-25 | Electricity price making method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810827442.1A CN110766426A (en) | 2018-07-25 | 2018-07-25 | Electricity price making method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110766426A true CN110766426A (en) | 2020-02-07 |
Family
ID=69327132
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810827442.1A Pending CN110766426A (en) | 2018-07-25 | 2018-07-25 | Electricity price making method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110766426A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743978A (en) * | 2021-07-23 | 2021-12-03 | 国网河北省电力有限公司电力科学研究院 | Time-of-use electricity price making method and device of source network charge storage system and terminal equipment |
-
2018
- 2018-07-25 CN CN201810827442.1A patent/CN110766426A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743978A (en) * | 2021-07-23 | 2021-12-03 | 国网河北省电力有限公司电力科学研究院 | Time-of-use electricity price making method and device of source network charge storage system and terminal equipment |
| CN113743978B (en) * | 2021-07-23 | 2024-01-23 | 国网河北省电力有限公司电力科学研究院 | Time-of-use electricity price making method and device of source network charge storage system and terminal equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108876132B (en) | Industrial enterprise energy efficiency service recommendation method and system based on cloud | |
| CN105512465B (en) | Based on the cloud platform safety quantitative estimation method for improving VIKOR methods | |
| CN110544123B (en) | Power consumer classification method and device, computer equipment and storage medium | |
| CN107153977A (en) | Transaction entity credit estimation method, apparatus and system in online trade platform | |
| CN106600039A (en) | E-commerce commodity information pushing optimization method | |
| CN113191828B (en) | User electricity price value grade label construction method, device, equipment and medium | |
| CN110163486A (en) | A kind of project risk different degree appraisal procedure and system | |
| CN111784109A (en) | Supplier selection method based on Bidagolas fuzzy set and VIKOR | |
| CN111598387A (en) | Method and system for determining quality of electric energy meter in multiple dimensions | |
| WO2023035245A1 (en) | Risk early-warning method applied to electricity market price | |
| CN115049102A (en) | Electricity price prediction method and device, mobile terminal and storage medium | |
| Xiao | Quantitative investment decision model based on PPO algorithm | |
| CN110766426A (en) | Electricity price making method and device | |
| CN108446563A (en) | A kind of ICS Method of Information Security Evaluation based on Fuzzy AHP | |
| CN110837962A (en) | Power customer viscosity calculation method | |
| CN112039111A (en) | Method and system for participating in peak regulation capacity of power grid by new energy microgrid | |
| CN115170195A (en) | Information processing method and device, electronic equipment and computer readable medium | |
| CN112258344A (en) | Power failure identification method for power generator market in electric power spot market | |
| CN114004530A (en) | Enterprise power credit score modeling method and system based on sequencing support vector machine | |
| CN114065109A (en) | Optimal selection method for power system demand response aggregation users | |
| CN113159634A (en) | Financial product management method and device and electronic equipment | |
| CN113177682A (en) | Power grid enterprise comprehensive performance evaluation method and device based on system dynamics theory | |
| CN112232945A (en) | Method and device for determining personal customer credit | |
| CN112348066A (en) | Line uninterrupted power rating evaluation method based on gray clustering algorithm | |
| Wang et al. | Research on Credit Decision Issues of the Small and Medium-Sized Enterprises Based on TOPSIS and Hierarchical Cluster Analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200207 |
|
| RJ01 | Rejection of invention patent application after publication |