CN109118250A - Electricity market main body act of unfair competition evaluation method and device - Google Patents
Electricity market main body act of unfair competition evaluation method and device Download PDFInfo
- Publication number
- CN109118250A CN109118250A CN201810919173.1A CN201810919173A CN109118250A CN 109118250 A CN109118250 A CN 109118250A CN 201810919173 A CN201810919173 A CN 201810919173A CN 109118250 A CN109118250 A CN 109118250A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- factor
- index
- behavior
- main body
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 232
- 230000005611 electricity Effects 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000006399 behavior Effects 0.000 claims description 148
- 230000002860 competitive effect Effects 0.000 claims description 53
- 238000004364 calculation method Methods 0.000 claims description 28
- 238000010606 normalization Methods 0.000 claims description 8
- 230000014759 maintenance of location Effects 0.000 claims description 7
- 230000002688 persistence Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 description 8
- 230000008901 benefit Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000012854 evaluation process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G06Q30/018—Certifying business or products
-
- 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)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (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 present invention provides a kind of electricity market main body act of unfair competition evaluation method and devices, it is related to electricity market technical field, this method comprises: obtaining the set of factors to be evaluated and Comment gathers of electricity market main body, calculate the weight factor of the affiliated unlawful practice of evaluation index in set of factors to be evaluated, and the corresponding factor value of evaluation index and multiple matched membership of factor in evaluation rank section；According to the corresponding section score of membership of factor and multiple evaluation rank sections, the corresponding index score of evaluation index that each unlawful practice includes is calculated；Based on weight factor and index score, the corresponding evaluation score of each unlawful practice of electricity market main body is calculated；It is evaluated according to act of unfair competition of the evaluation score to electricity market main body.The present invention provides electricity market main body act of unfair competition evaluation method and device, facilitates the rights and interests for ensureing electricity market main body, and then ensure the fair and just and orderly progress of electricity transaction.
Description
Technical Field
The invention relates to the technical field of power markets, in particular to a method and a device for evaluating illegal competitive behaviors of a main body of a power market.
Background
At present, related documents make it clear that an electricity selling company can be used as an electric power market main body to participate in electric power market transaction, so that the electric power market main body in the electric power market is richer, and the transaction behavior of the electric power market main body is more complex.
However, at present, the electric power market main body is hidden when carrying out the illegal competitive behaviors, so that the electric power supervision department is difficult to identify, bad influence is caused to the electric power market transaction, and meanwhile, great economic loss is brought.
Aiming at the technical problems that the illegal competitive behaviors of the main body of the power market are hidden and difficult to identify, an effective solution is not provided at present.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method and an apparatus for evaluating an illegal competition behavior of a power market entity, which solve the technical problem that the illegal competition behavior of the power market entity is relatively hidden and difficult to identify.
In a first aspect, an embodiment of the present invention provides a method for evaluating an improper competitive behavior of a power market main body, where the method includes: acquiring a to-be-evaluated factor set and a comment set of an electric power market main body, wherein the to-be-evaluated factor set comprises evaluation indexes contained in a plurality of illegal behaviors of the electric power market main body and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval; calculating a weight factor of the violation behavior of each evaluation index in the to-be-evaluated factor set, and a factor membership degree of matching the factor value corresponding to each evaluation index with a plurality of evaluation grade intervals; calculating an index score corresponding to an evaluation index contained in each violation behavior according to the factor membership and the interval scores corresponding to the multiple evaluation grade intervals; calculating an evaluation score corresponding to each violation behavior of the power market main body based on the weight factor and the index score; and evaluating the illegal competitive behaviors of the power market subjects according to the evaluation scores.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the method further includes: after a factor set to be evaluated of an electric power market main body is obtained, dividing the factor set to be evaluated into a plurality of factor subsets corresponding to violation behaviors, wherein each factor subset comprises an evaluation index corresponding to the violation behavior and a factor value corresponding to the evaluation index.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of calculating a weight factor of a violation, to which each evaluation index belongs, in the to-be-evaluated factor set includes: normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index; calculating the information entropy of each evaluation index according to the normalization index; and calculating the weight factor of the violation behavior to which each evaluation index belongs according to the information entropy.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of calculating a membership degree of a factor, where a factor value corresponding to each evaluation index matches a plurality of evaluation level intervals, includes: obtaining an evaluation index in each factor subset and an evaluation grade interval corresponding to the factor subset; calculating factor membership according to the factor value corresponding to the evaluation index in each factor subset, and the interval upper limit and the interval lower limit of the evaluation grade interval corresponding to the factor subset; the calculation formula of the factor membership degree is as follows:(xi+1＜x＜xi) (ii) a Wherein x is a factor corresponding to one of the evaluation indexes of the power market subjectThe values xi and xi +1 are respectively the upper limit and the lower limit of the interval of the judgment grade interval where x is located; i represents the rank of the evaluation rank interval.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, wherein the step of evaluating the illicit competitive behavior of the electricity market main body according to the evaluation score includes: acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; and determining that the power market main body has improper competitive behaviors.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the evaluation index of the factor set to be evaluated of the power market main body at least includes: declare the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium rate, the high price medium rate, the persistence proportion and the quotation success degree; the subset of factors corresponding to the violation includes: the factor subset of the collusion guarantee behavior, the factor subset of the collusion guarantee behavior and the factor subset of the free-car-taking behavior; wherein, the evaluation indexes of the factor subset of the collusion price-keeping behavior at least comprise: declaring the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium-winning rate and the quotation success degree; the evaluation indexes of the factor subset of the collusion guarantee behavior at least comprise the following indexes: reporting the electric quantity share proportion, the quotation safety degree, the retention proportion, the quotation consistency and the quotation success degree; the evaluation indexes of the factor subset of the free-carrying behavior at least comprise the following indexes: reporting electric quantity share proportion, quotation safety degree, quotation relative ratio, high price winning rate and quotation success degree.
In a second aspect, an embodiment of the present invention further provides an apparatus for evaluating an improper competitive behavior of a power market main body, including: the system comprises an acquisition module, a judgment module and a display module, wherein the acquisition module is used for acquiring a to-be-evaluated factor set and a comment set of an electric power market main body, and the to-be-evaluated factor set comprises evaluation indexes contained in a plurality of illegal behaviors of the electric power market main body and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval; the first calculation module is used for calculating the weight factor of the violation behavior to which each evaluation index belongs in the factor set to be evaluated and the factor membership degree of matching the factor value corresponding to each evaluation index with a plurality of evaluation grade intervals; the second calculation module is used for calculating an index score corresponding to an evaluation index contained in each violation behavior according to the factor membership degree and the interval scores corresponding to the multiple evaluation grade intervals; the third calculation module is used for calculating an evaluation score corresponding to each violation behavior of the electric power market main body based on the weight factor and the index score; and the evaluation module is used for evaluating the illegal competitive behaviors of the power market main body according to the evaluation scores.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the apparatus further includes: the dividing module is used for dividing the factor set to be evaluated into a plurality of factor subsets corresponding to the illegal behaviors after the factor set to be evaluated of the power market main body is obtained, wherein each factor subset comprises an evaluation index corresponding to the illegal behavior and a factor value corresponding to the evaluation index.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the first calculating module is configured to: normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index; calculating the information entropy of each evaluation index according to the normalization index; calculating a weight factor of the violation behavior to which each evaluation index belongs according to the information entropy;
with reference to the second aspect, an embodiment of the present invention provides a third possible implementation manner of the second aspect, where the evaluation module is configured to: acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; and determining that the power market main body has improper competitive behaviors.
The embodiment of the invention has the following beneficial effects:
the method and the device for evaluating the improper competitive behaviors of the power market main body, provided by the embodiment of the invention, can acquire the factor set to be evaluated and the comment set of the power market main body, calculate the weight factor of the illegal behavior to which each evaluation index in the factor set to be evaluated belongs, and the factor membership degree of the factor value corresponding to each evaluation index matched with a plurality of evaluation grade intervals, further calculate the index score corresponding to the evaluation index contained in each illegal behavior, calculate the evaluation score corresponding to the illegal behavior based on the index score and the weight factor, evaluate the improper competitive behaviors of the power market main body, can effectively analyze the characteristics of the improper competitive behaviors in the power trading process participated by the power market main body, so as to identify the improper competitive behaviors and risks in the power market trading process, and help to guarantee the rights and benefits of the power market main body, thereby ensuring the fair, fair and orderly power transaction.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an evaluation method for an improper competitive behavior of a power market main body according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an illegal competition behavior evaluation index system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for evaluating an improper competitive behavior of a power market main body according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another device for evaluating an unauthorized competitive behavior of a power market main body according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments 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, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the main improper competitive behavior that exists mainly includes acts such as collusion insurance price, collusion insurance volume, taking the car for free in the electric power market transaction, and this type of action is comparatively hidden, and it is difficult to discern, but in case take place can cause worse influence and great loss. Accordingly, the embodiment of the invention provides a method and a device for evaluating the illegal competition behavior of the power market body, so as to solve the technical problem that the illegal competition behavior of the power market body is relatively hidden and difficult to identify.
In order to facilitate understanding of the embodiment, a detailed description will be given of an assessment method for an improper competitive behavior of a power market main body disclosed in the embodiment of the present invention.
The first embodiment is as follows:
the embodiment of the invention provides an evaluation method for an improper competitive behavior of a power market main body, and particularly the method can be applied to a power supervision department, such as a business server of the power supervision department, and the like, and is used for evaluating the competitive behavior of the power market main body. Fig. 1 shows a flowchart of a method for evaluating an improper competitive behavior of a power market entity, which includes the following steps:
step S102, acquiring a factor set to be evaluated and a comment set of an electric power market main body;
the to-be-evaluated factor set comprises evaluation indexes contained in a plurality of illegal behaviors of the electric power market main body and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval;
step S104, calculating a weight factor of the violation behavior of each evaluation index in the to-be-evaluated factor set, and a factor membership degree of matching the factor value corresponding to each evaluation index with a plurality of evaluation grade intervals;
step S106, calculating an index score corresponding to an evaluation index contained in each violation behavior according to the factor membership degree and the interval scores corresponding to the multiple evaluation grade intervals;
step S108, calculating an evaluation score corresponding to each violation behavior of the electric power market main body based on the weight factor and the index score;
and a step S110 of evaluating the illegal competitive behaviors of the power market main body according to the evaluation scores.
Specifically, in this step, the specific evaluation process may include: acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; and determining that the power market main body has improper competitive behaviors.
The evaluation method for the improper competitive behaviors of the power market main body, provided by the embodiment of the invention, can acquire the factor set to be evaluated and the comment set of the power market main body, calculate the weight factor of the illegal behavior to which each evaluation index in the factor set to be evaluated belongs, and the factor membership degree of the factor value corresponding to each evaluation index matched with a plurality of evaluation grade intervals, further calculate the index score corresponding to the evaluation index contained in each illegal behavior, calculate the evaluation score corresponding to the illegal behavior based on the index score and the weight factor, evaluate the improper competitive behaviors of the power market main body, can effectively analyze the characteristics of the improper competitive behaviors in the power trading process participated by the power market main body so as to identify the improper competitive behaviors and risks in the power market trading process, and is beneficial to ensuring the rights and benefits of the power market main body, thereby ensuring the fair, fair and orderly power transaction.
In practical use, the electric power market main body may include a main body such as a power generation enterprise, an electric power selling company, and an electric power user, and when an evaluation of an improper competitive behavior needs to be performed on the electric power market main body, a to-be-evaluated factor set of the electric power market main body generally needs to be acquired, specifically, the to-be-evaluated factor set generally includes evaluation indexes of a plurality of illegal behaviors, and therefore, after the to-be-evaluated factor set of the electric power market main body is acquired, the to-be-evaluated factor set needs to be divided into a plurality of factor subsets corresponding to the illegal behaviors, where each factor subset includes an evaluation index corresponding to the illegal behavior and a factor value corresponding to the evaluation index.
Specifically, the evaluation indexes of the to-be-evaluated factor set of the power market main body at least include: declare the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium rate, the high price medium rate, the persistence proportion and the quotation success degree; based on the factor set to be evaluated, the factor subset corresponding to the violation includes: the factor subset of the collusion guarantee behavior, the factor subset of the collusion guarantee behavior and the factor subset of the free-car-taking behavior; wherein, the evaluation indexes of the factor subset of the collusion price-keeping behavior at least comprise: declaring the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium-winning rate and the quotation success degree; the evaluation indexes of the factor subset of the collusion guarantee behavior at least comprise the following indexes: reporting the electric quantity share proportion, the quotation safety degree, the retention proportion, the quotation consistency and the quotation success degree; the evaluation indexes of the factor subset of the free-carrying behavior at least comprise the following indexes: reporting electric quantity share proportion, quotation safety degree, quotation relative ratio, high price winning rate and quotation success degree.
Based on the above to-be-evaluated factor set, in actual use, each evaluation index has its corresponding calculation formula, specifically, the calculation formula for reporting the electric quantity share ratio is:
in the formula, y1jDeclaring the percentage of electric quantity for the jth household electrical appliance market subject; djThe total amount of electric quantity declared for the jth household electrical appliance power market subject, wherein m is the number of the power market subjects;
the calculation formula of the offer safety degree is as follows:
in the formula, y2jThe offer security for the jth home appliance market body; pvjThe weighted average declared price of the jth household electrical appliance market main body can be obtained by carrying out weighted average on multiple sections of quoted prices according to the reported electric quantity of each section as weight; em is an expected value of the marginal price of the market and can be obtained by calculation based on the marginal price of historical transaction;
the price comparison calculation formula is as follows:
in the formula, y3jComparing the quoted prices of the jth household electrical appliance power market main body, wherein n is the number of the power market main bodies; pvjThe weighted average declared price of the jth household electrical appliance market main body can be obtained by carrying out weighted average on multiple sections of quoted prices according to the reported electric quantity of each section as weight;
the calculation formula of the retention ratio is as follows:
in the formula, y4jIs the retention proportion of the jth household electrical appliance market main body; dmj is the maximum generating capacity of the jth household electrical appliance market main body; djThe total amount of electric quantity declared for the jth household electrical appliance power market subject, wherein m is the number of the power market subjects;
the calculation formula of the quotation consistency is as follows:
in the formula, y5jA consistency ratio is quoted for the ith household electrical appliance market subject; ds is quote similarity, usually expressed in% where the χ value is given by the market subject of the analysis, usually 0.5%; djThe total amount of electric quantity declared for the jth household electrical appliance power market subject, wherein m is the number of the power market subjects;
the calculation formula of the low price winning rate is as follows:
in the formula, y6jA low price medium rate for the jth home appliance market body; dljThe price quoted for the jth market subject is lower than the lowest value of the clear electricity price and the electricity quantity of winning the bid in the last year history; djThe total amount of electric quantity declared for the jth household electrical appliance market subject;
the calculation formula of the high price winning rate is as follows:
wherein, y7jA high price bid rate for the jth home appliance market body; dhjThe price quoted for the jth household electrical appliance market subject is higher than the electricity quantity which has the highest value of the clear electricity price and is winning the bid for the last year calendar history; djThe total amount of electric quantity declared for the jth household electrical appliance market subject;
the bid success may be expressed as:
wherein, y8jThe success rate of the quotation of the jth household electrical appliance market main body; ddjThe declared transaction power percentage of the jth market subject; djThe total amount of electric quantity declared for the jth household electrical appliance market subject.
It should be understood that the above formula is only a preferable calculation formula of the evaluation index, and in actual use, the calculation of the evaluation index can also be based on the above calculation formula, and the above evaluation indexes can be obtained by adopting corresponding modifications according to actual use conditions.
Further, the above comment set can be expressed as: y ═ fine, good, better, general, non-compliant }; specifically, the above-mentioned preferable score interval is [100, 90 ], the preferable score interval is [90, 75 ], the preferable score interval is [75, 60 ], the general score interval is [60, 50 ], and the nonconforming score interval is [50, 0 ].
Based on the evaluation set of the to-be-evaluated factors, after the direct electric power transaction data of the electric power market main body is obtained, a calculation process for carrying out the evaluation of the illegal competitive behaviors can be carried out.
Specifically, the step of calculating the weight factor of the violation behavior to which each evaluation index in the to-be-evaluated factor set belongs includes:
(1) normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index;
specifically, j power market bodies are provided, each power market body has n evaluation indexes, and at this time, the positive direction index can be expressed as:
the negative indicator may be expressed as:
in the formula, xijThe evaluation method comprises the steps that the value of the ith evaluation index of the jth power market subject is represented, namely a factor value, the min { } function is the minimum value, and the max { } function is the maximum value. During specific calculation, one normalization index can be selected for calculation.
(2) Calculating the information entropy of each evaluation index according to the normalization index;
specifically, based on the definition of the information entropy in the information theory, the information entropy related to the power market subject in the embodiment of the present invention may be expressed as:wherein,if p isijWhen 0, thenn is the number of the evaluation indexes, YijThe normalization index is obtained;
(3) and calculating the weight factor of the violation behavior to which each evaluation index belongs according to the information entropy.
Specifically, the information entropy of each evaluation index may be calculated as E1 and E2 … … En according to the calculation formula of the information entropy, and then the weight factor may be calculated according to the information entropy, specifically, the weight factor of each index may be expressed as:
further, the step of calculating the membership degree of the factor matching the factor value corresponding to each evaluation index with the plurality of evaluation grade intervals includes:
(1) obtaining an evaluation index in each factor subset and an evaluation grade interval corresponding to the factor subset;
(2) calculating factor membership according to the factor value corresponding to the evaluation index in each factor subset, and the interval upper limit and the interval lower limit of the evaluation grade interval corresponding to the factor subset;
specifically, the calculation formula of the factor membership degree is as follows:
wherein x is a factor value corresponding to one evaluation index of the electric power market main body, and xi +1 are respectively an upper interval limit and a lower interval limit of the evaluation grade interval where x is located; i represents the grade of the evaluation grade interval. Specifically, the above-mentioned membership degree is a degree to which the factor value corresponding to the evaluation index approaches the level i, taking i equal to 5 as an example, that is, there are 5 evaluation level intervals, 1-r (x) is a degree to which x approaches the level i +1, and the remaining three levels of membership degree r (x) are 0. It should be noted that when x > x1 or x < x5, r (x) is 1, and the remaining four levels are subject to the degree of membership r (x) is 0.
For example, to facilitate understanding of the method for evaluating the unauthorized competitive behavior of the electricity market entity provided by the embodiment of the present invention, an electricity selling company is taken as an example and the method for evaluating the unauthorized competitive behavior of the electricity market entity is used for evaluating the unauthorized competitive behavior. In the embodiment of the invention, the data of three power selling companies are selected as an example to be expressed in detail based on the first power direct transaction data developed by a certain provincial power selling company in 2017.
Suppose that the evaluation indexes of the A power selling company comprise: the method comprises the steps of declaring the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium rate, the high price medium rate, the retention proportion and the quotation success degree, wherein the corresponding factor values are {0.0473, 0, 0.9712, 0.3278, 0.0215, 0, 0.0356 and 0.9984} in sequence. Similarly, the factor values of B electricity selling company are {0.0783, 0.0099, 0.9919, 0.1252, 0, 0.0147, 0.2158, 0.9581 }. The factor values of C electricity selling company are {0.1026, 0.0021, 1.0229, 0.0801, 0, 0.9581, 0.0485, 1.2203 }.
The further panel was determined to be Y ═ { Y1, …, yn }. The comment set is Y ═ { good, generally, non-compliant }. The score interval is preferably [100, 90%), the score interval is preferably [90, 75%), the score interval is preferably [75, 60%), the score interval is typically [60, 50%), and the score interval is preferably not compliant [50, 0%). According to the actual transaction data, the corresponding scoring criteria are set as shown in the following table 1:
table 1:
the violations, the evaluation indexes included in the factor subsets corresponding to the violations, and the scoring criteria corresponding to each evaluation index are listed in table 1.
Based on the scoring criteria, the factor membership degree matched with the multiple evaluation grade intervals is calculated according to the calculation formula of the factor membership degree, and is shown in the following table 2:
table 2:
after the factor membership degree is calculated, an index score corresponding to an evaluation index included in each violation behavior can be further calculated according to the factor membership degree and interval scores corresponding to a plurality of evaluation grade intervals; specifically, the factor membership degree of each evaluation index may be multiplied by the section score corresponding to the corresponding evaluation grade section, and further added to obtain the index score corresponding to the evaluation index included in each violation behavior.
Furthermore, it is necessary to determine the weighting factors of the violations to which the evaluation indexes belong, and the weighting factors corresponding to the evaluation indexes calculated based on the calculation formula of the weighting factors are shown in table 3.
Table 3:
based on the weighting factors and the index scores, an evaluation score corresponding to each violation behavior of the electricity market agents, i.e., the electricity vendors A, B and C, can be calculated.
Specifically, based on the data in tables 1 to 3, the final evaluation score of the electricity market main body is shown in table 4:
table 4:
| violation behavior | A | B | C |
| Collusion insurance price | 90.22 | 94.05 | 97.17 |
| Collusion guarantee | 90.73 | 89.20 | 95.68 |
| Vehicle for carrying on toilet | 99.45 | 94.72 | 89.45 |
Further, the evaluation score is usually set to a score threshold of 80, and based on the final calculation result of the evaluation score shown in table 4, none of the three electric power vendors exceeds the threshold, and it can be determined that the transaction of the three electric power vendors performed well and that there was no improper competition behavior.
According to the evaluation method, the invention provides a set of credit evaluation method comprehensively considering the trading process of the main body of the power market, taking a power selling company as an example, the trading behavior of the power market is comprehensively evaluated, most indexes in the evaluation process are quantitative indexes, the evaluation is comprehensive and fair, the whole evaluation method is clear in thought, and the method is suitable for popularization and use.
The method for evaluating the illegal competitive behaviors of the power market main body, provided by the embodiment of the invention, is beneficial to an electric power supervision department to establish an illegal competitive behavior evaluation index system so as to comprehensively evaluate the transaction behaviors of the power market main body. Fig. 2 shows a schematic diagram of an illegal competitive behavior evaluation index system, which includes a plurality of evaluation indexes including collusion guarantee, collusion guarantee amount, and free-carrying violation, so as to evaluate market force, quotation strategies, and excess profits of an electric power market subject, where the evaluation indexes of market force design include market supply-demand ratio, declared electric quantity share ratio, the quotation strategies relate to evaluation indexes such as retention ratio, quotation safety, quotation relative ratio, quotation consistency, and the excess profits relate to evaluation indexes such as low-price medium-winning rate, high-price medium-winning rate, and quotation success rate. It should be understood that fig. 2 is only a schematic diagram of an evaluation index system for illegal competitive behavior, which includes aspects such as market force, quotation strategy, and excess income, and evaluation indexes related to each aspect may also be set according to actual situations, and the embodiment of the present invention is not limited to this.
The method for evaluating the improper competitive behaviors of the power market main body provided by the embodiment of the invention can comprehensively evaluate the trading behaviors of the power market main body, and the evaluation indexes included in the evaluation process are mostly quantitative indexes, so that the evaluation process is more comprehensive and fair, and meanwhile, the whole evaluation method is clear in thought and suitable for popularization and use.
Example two:
based on the method for evaluating the improper competitive behavior of the power market main body in the foregoing embodiment, an embodiment of the present invention further provides an apparatus for evaluating the improper competitive behavior of the power market main body, as shown in fig. 3, the apparatus includes the following structures:
the obtaining module 30 is configured to obtain a to-be-evaluated factor set and a comment set of the electric power market main body, where the to-be-evaluated factor set includes evaluation indexes included in multiple violations of the electric power market main body, and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval;
the first calculating module 32 is configured to calculate a weight factor of the violation behavior to which each evaluation index belongs in the to-be-evaluated factor set, and a factor membership degree of matching between a factor value corresponding to each evaluation index and a plurality of evaluation level intervals;
the second calculating module 34 is configured to calculate an index score corresponding to an evaluation index included in each violation behavior according to the factor membership and the interval scores corresponding to the multiple evaluation level intervals;
a third calculating module 36, configured to calculate, based on the weighting factor and the index score, an evaluation score corresponding to each violation behavior of the power market main body;
and the evaluation module 38 is used for evaluating the illegal competitive behaviors of the power market main body according to the evaluation scores.
Further, as shown in fig. 4, another configuration diagram of the electric power market main body illicit competition behavior evaluation device includes, in addition to the configuration shown in fig. 3:
the dividing module 40 is configured to divide the to-be-evaluated factor set into multiple factor subsets corresponding to the illegal behaviors after the to-be-evaluated factor set of the power market main body is acquired, where each factor subset includes an evaluation index corresponding to the illegal behavior and a factor value corresponding to the evaluation index.
Specifically, the first calculating module is configured to: normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index; calculating the information entropy of each evaluation index according to the normalization index; calculating a weight factor of the violation behavior to which each evaluation index belongs according to the information entropy;
the evaluation module is configured to: acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; and determining that the power market main body has improper competitive behaviors.
The device for evaluating the improper competitive behavior of the power market main body provided by the embodiment of the invention has the same technical characteristics as the method for evaluating the improper competitive behavior of the power market main body provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The computer program product of the method and the device for evaluating the improper competitive behavior of the power market main body provided by the embodiment of the invention comprises a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method in the previous method embodiment, and specific implementation can be referred to the method embodiment, and is not repeated herein.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. 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.
Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for evaluating an improper competitive behavior of a power market entity, the method comprising:
acquiring a to-be-evaluated factor set and a comment set of an electric power market main body, wherein the to-be-evaluated factor set comprises evaluation indexes contained in a plurality of illegal behaviors of the electric power market main body and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval;
calculating a weight factor of the violation behavior to which each evaluation index in the to-be-evaluated factor set belongs, and a factor membership degree of matching a factor value corresponding to each evaluation index with the evaluation grade intervals;
calculating an index score corresponding to the evaluation index contained in each violation behavior according to the factor membership and a plurality of interval scores corresponding to the evaluation grade intervals;
calculating an evaluation score corresponding to each violation behavior of the electricity market subject based on the weight factor and the index score;
and evaluating the illegal competitive behaviors of the power market main body according to the evaluation scores.
2. The method of claim 1, further comprising:
after a to-be-evaluated factor set of the electric power market main body is obtained, dividing the to-be-evaluated factor set into a plurality of factor subsets corresponding to the illegal behaviors, wherein each factor subset comprises an evaluation index corresponding to the illegal behavior and a factor value corresponding to the evaluation index.
3. The method according to claim 1, wherein the step of calculating the weight factor of the violation behavior to which each evaluation index in the to-be-evaluated factor set belongs comprises:
normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index;
calculating the information entropy of each evaluation index according to the normalization index;
and calculating a weight factor of the violation behavior to which each evaluation index belongs according to the information entropy.
4. The method according to claim 2, wherein the step of calculating the membership degree of the factor of which the factor value corresponding to each evaluation index matches with the evaluation level intervals comprises:
obtaining an evaluation index in each factor subset and a judgment grade interval corresponding to the factor subset;
calculating the factor membership degree according to the factor value corresponding to the evaluation index in each factor subset, and the interval upper limit and the interval lower limit of the evaluation grade interval corresponding to the factor subset;
the calculation formula of the factor membership degree is as follows:
wherein x is a factor value corresponding to one of the evaluation indexes of the electric power market main body, and xi +1 are respectively an upper interval limit and a lower interval limit of the evaluation grade interval where x is located; i represents the grade of the evaluation grade interval.
5. The method according to claim 1, wherein the step of evaluating the illicit competitive behavior of the electricity market subject according to the evaluation score includes:
acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; determining that the electricity market subject has the improper competitive behavior.
6. The method according to claim 2, wherein the evaluation index of the factor set to be evaluated of the power market main body at least comprises: declare the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium rate, the high price medium rate, the persistence proportion and the quotation success degree;
the subset of factors corresponding to the violation includes: the factor subset of the collusion guarantee behavior, the factor subset of the collusion guarantee behavior and the factor subset of the free-car-taking behavior; wherein the evaluation indexes of the factor subset of the collusion price-keeping behavior at least comprise: declaring the electric quantity share proportion, the quotation safety degree, the quotation relative ratio, the quotation consistency, the low price medium-winning rate and the quotation success degree; the evaluation indexes of the factor subset of the collusion guarantee behavior at least comprise the following evaluation indexes: reporting the electric quantity share proportion, the quotation safety degree, the retention proportion, the quotation consistency and the quotation success degree; the evaluation indexes of the factor subset of the free-pick behavior at least comprise: reporting electric quantity share proportion, quotation safety degree, quotation relative ratio, high price winning rate and quotation success degree.
7. An apparatus for evaluating illicit competitive behavior of a power market entity, the apparatus comprising:
the system comprises an acquisition module, a judgment module and a display module, wherein the acquisition module is used for acquiring a factor set to be evaluated and a comment set of an electric power market main body, and the factor set to be evaluated comprises evaluation indexes contained in a plurality of illegal behaviors of the electric power market main body and factor values corresponding to the evaluation indexes; the evaluation set comprises a plurality of evaluation grade intervals, and each evaluation grade interval comprises an interval upper limit, an interval lower limit and an interval score corresponding to the evaluation grade interval;
the first calculation module is used for calculating a weight factor of the violation behavior to which each evaluation index belongs in the factor set to be evaluated, and the factor membership degree of matching between the factor value corresponding to each evaluation index and the evaluation grade intervals;
the second calculation module is used for calculating an index score corresponding to the evaluation index contained in each violation behavior according to the factor membership degree and a plurality of interval scores corresponding to the evaluation grade intervals;
a third calculation module, configured to calculate, based on the weighting factor and the index score, an evaluation score corresponding to each violation behavior of the electricity market main body;
and the evaluation module is used for evaluating the illegal competitive behaviors of the power market main body according to the evaluation scores.
8. The apparatus of claim 7, further comprising:
the dividing module is used for dividing the factor set to be evaluated into a plurality of factor subsets corresponding to the illegal behaviors after the factor set to be evaluated of the power market main body is obtained, wherein each factor subset comprises an evaluation index corresponding to the illegal behaviors and a factor value corresponding to the evaluation index.
9. The apparatus of claim 7, wherein the first computing module is configured to:
normalizing a plurality of evaluation indexes contained in each violation behavior, and calculating a normalized index, wherein the normalized index comprises a positive index or a negative index;
calculating the information entropy of each evaluation index according to the normalization index;
and calculating a weight factor of the violation behavior to which each evaluation index belongs according to the information entropy.
10. The apparatus of claim 7, wherein the evaluation module is configured to:
acquiring a pre-stored score threshold, wherein when the evaluation score corresponding to the violation behavior of any one of the electric power market main bodies is lower than the score threshold; determining that the electricity market subject has the improper competitive behavior.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810919173.1A CN109118250A (en) | 2018-08-13 | 2018-08-13 | Electricity market main body act of unfair competition evaluation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810919173.1A CN109118250A (en) | 2018-08-13 | 2018-08-13 | Electricity market main body act of unfair competition evaluation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109118250A true CN109118250A (en) | 2019-01-01 |
Family
ID=64852384
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810919173.1A Pending CN109118250A (en) | 2018-08-13 | 2018-08-13 | Electricity market main body act of unfair competition evaluation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109118250A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353692A (en) * | 2020-02-19 | 2020-06-30 | 浙江中智达科技有限公司 | Industrial device evaluation method and system |
| CN111951121A (en) * | 2020-07-20 | 2020-11-17 | 广东电力交易中心有限责任公司 | Electric power spot market quotation mode classification method, device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295976A (en) * | 2016-08-03 | 2017-01-04 | 重庆大学 | IPT system electromagnetic mechanism method of evaluating performance based on analytic hierarchy process (AHP) and fuzzy overall evaluation |
| CN107622354A (en) * | 2017-09-29 | 2018-01-23 | 中国科学技术大学 | A kind of accident contingency capabilities assessment method based on section Two-tuple Linguistic Information Processing |
| CN108241932A (en) * | 2018-01-24 | 2018-07-03 | 国网山东省电力公司泰安供电公司 | A kind of method for building up of electricity provider evaluation model |
| CN108288122A (en) * | 2018-01-12 | 2018-07-17 | 南方电网科学研究院有限责任公司 | Assessment method and device of multi-region interconnection system |
-
2018
- 2018-08-13 CN CN201810919173.1A patent/CN109118250A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295976A (en) * | 2016-08-03 | 2017-01-04 | 重庆大学 | IPT system electromagnetic mechanism method of evaluating performance based on analytic hierarchy process (AHP) and fuzzy overall evaluation |
| CN107622354A (en) * | 2017-09-29 | 2018-01-23 | 中国科学技术大学 | A kind of accident contingency capabilities assessment method based on section Two-tuple Linguistic Information Processing |
| CN108288122A (en) * | 2018-01-12 | 2018-07-17 | 南方电网科学研究院有限责任公司 | Assessment method and device of multi-region interconnection system |
| CN108241932A (en) * | 2018-01-24 | 2018-07-03 | 国网山东省电力公司泰安供电公司 | A kind of method for building up of electricity provider evaluation model |
Non-Patent Citations (1)
| Title |
|---|
| 周旭: ""区域电力辅助服务市场评价体系"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353692A (en) * | 2020-02-19 | 2020-06-30 | 浙江中智达科技有限公司 | Industrial device evaluation method and system |
| CN111353692B (en) * | 2020-02-19 | 2023-07-14 | 浙江中智达科技有限公司 | Industrial device evaluation method and system |
| CN111951121A (en) * | 2020-07-20 | 2020-11-17 | 广东电力交易中心有限责任公司 | Electric power spot market quotation mode classification method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Rasool et al. | Financial literacy and behavioural biases of individual investors: empirical evidence of Pakistan stock exchange | |
| Outreville | Life insurance markets in developing countries | |
| Ganong et al. | Why Do Borrowers Default on Mortgages? | |
| TW530235B (en) | Valuation prediction models in situations with missing inputs | |
| CN108665159A (en) | A kind of methods of risk assessment, device, terminal device and storage medium | |
| Shibia et al. | Effects of financial literacy on individual choices among financial access strands in Kenya | |
| CN109118250A (en) | Electricity market main body act of unfair competition evaluation method and device | |
| Ferreira et al. | Anatomy of the beginning of the housing boom across US metropolitan areas | |
| Shah et al. | Mining eBay: Bidding strategies and shill detection | |
| Kishan et al. | Financial Statement Literacy of Individual Investors in China. | |
| Barbon et al. | NFT bubbles | |
| Talpsepp et al. | Do gender, age and education affect herding in the real estate market? | |
| Gaure et al. | The impacts of labor market policies on job search behavior and post-unemployment job quality | |
| Jonsson et al. | Households and mutual fund investments: Individual characteristics of investors behaving like contrarians | |
| Eid et al. | Income rounding and loan performance in the peer-to-peer market | |
| CN116883135A (en) | Differentiated pricing method and device for financial services | |
| Tsang et al. | Evaluating fraud detection algorithms using an auction data generator | |
| CN115034685A (en) | Customer value evaluation method, customer value evaluation device and computer-readable storage medium | |
| Candraningrat | Analysis of herding behavior in the Indonesian capital stock market | |
| CN111681090A (en) | Account grouping method and device of business system, terminal equipment and storage medium | |
| Musa et al. | Determinants of access to credit among rural agricultural entrepreneurs in Katsina State, Nigeria | |
| Disbergen | A Machine Learning Approach to Quantify the Default Risk of Peer-to-Peer Loans on Bondora. Com | |
| Yang et al. | Retail exposures credit scoring models for chinese commercial banks | |
| Goto et al. | Financial ratio analysis: An application to US energy industry | |
| du Preez et al. | Demographic and Sociocultural Determinants of Financial Literacy in South Africa |
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: 20190101 |
|
| RJ01 | Rejection of invention patent application after publication |