CN110929220A - Power distribution network index weight calculation method and device - Google Patents
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Abstract
The application provides a power distribution network index weight calculation method and device, the method and device respectively utilize a first weight obtained by an entropy weight method, utilize a secondary analysis method and a composite weight calculation mode to obtain a second weight obtained by averaging the secondary weights, and finally obtain a final index weight through a ratio.
Description
Technical Field
The application relates to the technical field of power distribution networks, in particular to a power distribution network index weight calculation method and device.
Background
With the development of distributed power supply technology, more and more distributed power supplies are connected to a traditional power distribution network. The distributed power supply has the advantages of cleanness, flexibility and reproducibility, but the access of the distributed power supply can bring certain impact to the traditional power distribution network, and the power distribution network accessed with the distributed power supply needs to be monitored according to set power distribution network indexes, so that a weight value distribution scheme of each power distribution network index is determined, and a reasonable weight value not only has an extremely important guiding significance for the access management work of the distributed power supply in the power distribution network, but also is a basis for guiding the construction and the transformation of the power distribution network.
The existing power distribution network index weight calculation method adopts a single weight calculation method, and adopts different calculation methods, so that the calculated weight values are different, and the technical problem that the existing power distribution network index weight calculation result is inaccurate is caused.
Disclosure of Invention
The application provides a power distribution network index weight calculation method and device, which are used for solving the technical problem that the existing power distribution network index weight calculation result is inaccurate.
In view of this, the first aspect of the present application provides a power distribution network index weight calculation method, including:
acquiring historical operation data of the power distribution network according to preset indexes of the power distribution network;
calculating to obtain a first weight corresponding to the index of the power distribution network by an entropy weight method according to the historical operation data;
according to the power distribution network index, establishing a judgment matrix in a hierarchical analysis mode, and respectively obtaining a plurality of sub-weights in a composite weight calculation mode based on the judgment matrix, wherein the composite weight calculation mode specifically comprises the following steps: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode;
carrying out mean value calculation on each sub-weight to obtain a second weight;
and obtaining the weight product of the distribution network indexes according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the distribution network indexes to the cumulative sum of the weight products of all the distribution network indexes to obtain the index weight corresponding to the distribution network indexes.
Optionally, the establishing a judgment matrix according to the power distribution network index in a hierarchical analysis manner, and obtaining a plurality of sub-weights respectively in a composite weight calculation manner based on the judgment matrix specifically includes:
and establishing a judgment matrix through a hierarchical analysis mode according to the indexes of the power distribution network, and calculating through a geometric mean method, an arithmetic mean method, a feature vector method and a least square method respectively based on the judgment matrix to obtain a first sub-weight, a second sub-weight, a third sub-weight and a fourth sub-weight.
Optionally, the performing the mean calculation on each of the sub-weights to obtain the second weight specifically includes:
and carrying out mean value calculation on the first sub-weight, the second sub-weight, the third sub-weight and the fourth sub-weight to obtain a second weight.
Optionally, the distribution network indexes specifically include: equipment running state index, reliability index, economic index, power quality index and environmental protection index.
Optionally, the device operating state index specifically includes: the running life of the equipment, the failure rate of the equipment and the overload rate of the equipment.
Optionally, the reliability index specifically includes: the power supply reliability, the average power failure time of the user and the average power failure times of the user.
Optionally, the economic indicator specifically includes: line loss rate, initial investment cost of equipment, annual maintenance cost and depreciation cost.
Optionally, the power quality indicator specifically includes: voltage deviation, frequency deviation, grid harmonics and three-phase unbalance.
Optionally, the environmental protection index specifically includes: clean energy power generation ratio, CO2Reduced volume of SO2Volume reduction, nitride volume reduction.
This application second aspect provides a distribution network index weight calculation device, includes:
the historical operation data acquisition unit is used for acquiring historical operation data of the power distribution network according to preset indexes of the power distribution network;
the entropy weight method operation unit is used for calculating a first weight corresponding to the index of the power distribution network through an entropy weight method according to the historical operation data;
the hierarchical analysis operation unit is used for establishing a judgment matrix through a hierarchical analysis mode according to the power distribution network indexes and respectively obtaining a plurality of sub-weights through a composite weight calculation mode based on the judgment matrix, wherein the composite weight calculation mode specifically comprises the following steps: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode;
the mean value operation unit is used for carrying out mean value calculation on each sub-weight to obtain a second weight;
and the index weight calculation unit is used for obtaining the weight product of the power distribution network indexes according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the power distribution network indexes to the weight product accumulated sum of all the power distribution network indexes to obtain the index weight corresponding to the power distribution network indexes.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a power distribution network index weight calculation method, which comprises the following steps: acquiring historical operation data of the power distribution network according to preset indexes of the power distribution network; calculating to obtain a first weight corresponding to the index of the power distribution network by an entropy weight method according to the historical operation data; according to the power distribution network index, establishing a judgment matrix in a hierarchical analysis mode, and respectively obtaining a plurality of sub-weights in a composite weight calculation mode based on the judgment matrix, wherein the composite weight calculation mode specifically comprises the following steps: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode; carrying out mean value calculation on each sub-weight to obtain a second weight; and obtaining the weight product of the distribution network indexes according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the distribution network indexes to the cumulative sum of the weight products of all the distribution network indexes to obtain the index weight corresponding to the distribution network indexes.
According to the method, the first weight obtained by an entropy weight method, the second weight obtained by averaging the sub-weights by an analytic hierarchy process and a composite weight calculation method are respectively utilized, and finally, the final index weight is obtained through the ratio, so that the weighting deviation caused by adopting a single calculation method is avoided, the reality of historical data is considered, the accurate distribution of the index weight of the power distribution network after the distributed power supply is considered is realized, and the technical problem that the calculation result of the index weight of the existing power distribution network is inaccurate is solved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a power distribution network index weight calculation method according to a first embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a first embodiment of a power distribution network index weight calculation device provided in the present application.
Detailed Description
The embodiment of the application provides a method and a device for calculating index weight of a power distribution network, which are used for solving the technical problem that the calculation result of the index weight of the power distribution network is inaccurate.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
Referring to fig. 1, an embodiment of the present application provides a method for calculating index weights of a power distribution network, including:
102, calculating to obtain a first weight corresponding to the index of the power distribution network through an entropy weight method according to historical operation data.
Note that, the respective index weights α are calculated from historical operating data by using an entropy weight method:
the entropy weight method calculation principle is that the index value variation degree of each index is judged according to the information quantity provided by each index, and if the index value variation degree is larger, the information entropy is smaller, namely the information effective value is larger. Firstly, historical operation data of a power distribution network after a distributed power supply is accessed are collected, an initial data matrix with m rows and n columns is constructed, m is an evaluation object, and n is an evaluation index. x is the number ofijIs a matrix element, i is an evaluation object, j is evaluation data, xijI.e. the value of the ith object in the jth index. Calculating the proportion of the ith evaluation object in the jth index after performing per unit on the matrix data:
in the formula: x'ijIs the per unit value, y 'of the value of the ith evaluation object in the jth index'ijIs the ratio.
Calculating the j index information entropy:
in the formula: k is 1/lnm.
Calculating a first weight:
in the formula αjIs a first weight.
And 103, establishing a judgment matrix through a hierarchical analysis mode according to the indexes of the power distribution network, and respectively obtaining a plurality of sub-weights through a composite weight calculation mode based on the judgment matrix.
It should be noted that, according to a preset power distribution network index calculation formula, corresponding power distribution network data is collected, and through an analytic hierarchy process, the analytic hierarchy process calculates the index weight and is divided into the following steps: establishing a hierarchical structure model, constructing all judgment matrixes in each hierarchy, and performing hierarchical single sequencing and consistency check, and hierarchical total sequencing and consistency check. And based on the obtained judgment matrix, respectively obtaining a plurality of sub-weights calculated by each weight calculation mode through a composite weight calculation mode.
Each distribution network index of the embodiment comprises an equipment running state index, a reliability index, an economic index, an electric energy quality index and an environmental protection index.
More specifically, the equipment operating state index specifically includes: the running life of the equipment, the failure rate of the equipment and the overload rate of the equipment.
More specifically, the reliability index specifically includes: the power supply reliability, the average power failure time of the user and the average power failure times of the user.
More specifically, the economic indicators specifically include: line loss rate, initial investment cost of equipment, annual maintenance cost and depreciation cost.
More specifically, the power quality index specifically includes: voltage deviation, frequency deviation, grid harmonics and three-phase unbalance.
More specifically, the environmental protection index specifically includes: clean energy power generation ratio, CO2Reduced volume of SO2Volume reduction, nitride volume reduction.
And the calculation formula of each distribution network index of this embodiment is:
the specific calculation formula of the equipment running state index is as follows:
in the formula: a. the1，A2，A3The operation years of the equipment, the failure rate of the equipment and the overload rate of the equipment are respectively set; n is a radical of1Is the total number of distribution network equipment, N2For the number of devices that have been operated over 70% of the planned operational life, TsFor the fault-free running time of the equipment, T is the total running time of the equipment, NGThe number of devices in which overload occurs.
The specific calculation formula of the reliability index is as follows:
in the formula: b is1，B2，B3Average power failure time of users, power supply reliability and average power failure times of users. T isTiCounting the power failure time of each household in the period, wherein N is the power supply reliability of the total number of users; n is a radical ofTiThe number of users in each power failure in the period is counted.
The specific calculation formula of the economic index is as follows:
in the formula: c1，C2，C3，C4The line loss rate, the initial investment cost of equipment, the annual maintenance cost and the depreciation cost are respectively. W1For selling electricity, W2Supplying power; n is a radical ofpNumber of devices P, CpIs the unit price of the device P; mpTotal maintenance cost for the full life cycle of the device P; spThe recycle price of the scrapped equipment P.
The specific calculation formula of the power quality index is as follows:
in the formula: d1，D2，D3，D4Respectively, voltage deviation, frequency deviation, harmonic current distortion and harmonic voltage distortion. U shape2For actual measurement of voltage, U1Is a voltage rating; f. of2Is the actual value of the frequency, f1Is a frequency rating; i ishOpen root number value, I, of the sum of squares of all harmonic currentseIs the effective value of the fundamental current; u shapehFor the root value, U, of the sum of the squares of all harmonic voltageseIs the effective value of the fundamental voltage.
The specific calculation formula of the environmental protection index is as follows:
in the formula: e1，E2，E3，E4Power generation ratio, CO, for clean energy respectively2Reduced volume of SO2Displacement reduction and nitride displacement reduction; omega is a distributed power set, PiFor active power output of distributed power supply, TiThe time is distributed power grid connection time, and W is total generated energy in a statistical period; a is1For standard coal consumption of coal-fired units, a2，b2，c2Respectively, emission of standard coal, SO2Emissions, and nitride emissions.
After each index calculation formula is determined, the data can be collected to carry out preliminary processing and calculation on the indexes of the power distribution network, so that a judgment matrix is obtained through an analytic hierarchy process.
Next, the complex weight calculation method of this embodiment specifically includes: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes included in the composite weight calculation mode.
Specifically, when calculating the weight vector, the weight vector is calculated by using a geometric mean method, an arithmetic mean method, a feature vector method, and a least square method, respectively:
geometric mean method:
in the formula: a isijElements in the constructed decision matrix. That is, multiplying elements in the judgment matrix by rows, then opening the power n, and finally normalizing the obtained vector.
Arithmetic mean method:
the arithmetic mean method is to add the elements in the judgment matrix after the elements are normalized according to the columns, and then divide the sum by the number n of the columns of the judgment matrix.
A feature vector method: AW ═ λmaxW
In the formula: w is a weight vector, A is a constructed decision matrix, λmaxThe maximum eigenvalue of the decision matrix.
Least square method:
in the formula: w is aiThe elements in the weight vector represent the weights of the indexes.
More specifically, the composite weight calculation method of this embodiment preferably adopts four calculation methods, that is, a determination matrix is established by a hierarchical analysis method according to the index of the power distribution network, and a geometric mean method, an arithmetic mean method, a feature vector method and a least square method are respectively used to calculate based on the determination matrix to obtain a first sub-weight, a second sub-weight, a third sub-weight and a fourth sub-weight.
After the weights are calculated by the four methods, an average value is taken as the final weight of the index calculated by the analytic hierarchy process. The improved analytic hierarchy process for calculating the weight comprehensively considers the advantages of various methods, and can avoid deviation generated by calculation of a single method.
And 104, performing mean value calculation on each sub-weight to obtain a second weight.
In the case where all the calculation methods in step 103 are used, for example, the calculation is performed by the geometric mean method, the arithmetic mean method, the feature vector method, and the least square method in step 103, and the first sub-weight, the second sub-weight, the third sub-weight, and the fourth sub-weight obtained are averaged to obtain the second weight.
And 105, obtaining a weight product of the indexes of the power distribution network according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the indexes of the power distribution network to the cumulative sum of the weight products of all the indexes of the power distribution network to obtain the index weight corresponding to the indexes of the power distribution network.
Finally, after the second weight β is calculated by an analytic hierarchy process and the first weight α is calculated by an entropy weight method, the final weight of each index, namely the index weight, is determined by an index weight calculation formula:
in the formula: omegaiAnd the index weight is the index weight of the ith distribution network index.
Referring to table 1, table 1 shows an example of the distribution network index weight calculated by the method provided in the present application:
table 1 shows the distribution network index weights
The method and the device for calculating the weighting of the power distribution network index weight respectively use the first weight obtained by the entropy weight method, use the analytic hierarchy process and the composite weight calculation mode to obtain the second weight obtained by averaging the sub-weights, finally obtain the final index weight through the ratio, use multiple calculation modes to calculate the weighting through the improved analytic hierarchy process and the entropy weight method, avoid deviation caused by a single calculation method, use historical data to calculate the weighting through the entropy weight method, ensure objectivity, and solve the technical problem that the calculation result of the existing power distribution network index weight is inaccurate.
The foregoing is a detailed description of a first embodiment of a power distribution network index weight calculation method provided by the present application, and the following is a detailed description of a first embodiment of a power distribution network index weight calculation device provided by the present application.
Referring to fig. 2, a second embodiment of the present application provides a power distribution network indicator weight calculation apparatus, including:
a historical operation data obtaining unit 201, configured to obtain historical operation data of the power distribution network according to preset indexes of the power distribution network;
the entropy weight method operation unit 202 is configured to calculate a first weight corresponding to an index of the power distribution network by an entropy weight method according to historical operation data;
the hierarchical analysis operation unit 203 is configured to establish a determination matrix through a hierarchical analysis method according to the power distribution network index, and obtain a plurality of sub-weights through a composite weight calculation method based on the determination matrix, where the composite weight calculation method specifically includes: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode;
the mean value operation unit 204 is configured to perform mean value calculation on each sub-weight to obtain a second weight;
and the index weight calculation unit 205 is configured to obtain a weight product of the power distribution network indexes according to a product of the first weight and the second weight, and calculate a ratio of the weight product of the power distribution network indexes to a cumulative sum of the weight products of all the power distribution network indexes to obtain index weights corresponding to the power distribution network indexes.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit 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.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill 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 in the embodiments of the present application.
Claims (10)
1. A power distribution network index weight calculation method is characterized by comprising the following steps:
acquiring historical operation data of the power distribution network according to preset indexes of the power distribution network;
calculating to obtain a first weight corresponding to the index of the power distribution network by an entropy weight method according to the historical operation data;
according to the power distribution network index, establishing a judgment matrix in a hierarchical analysis mode, and respectively obtaining a plurality of sub-weights in a composite weight calculation mode based on the judgment matrix, wherein the composite weight calculation mode specifically comprises the following steps: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode;
carrying out mean value calculation on each sub-weight to obtain a second weight;
and obtaining the weight product of the distribution network indexes according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the distribution network indexes to the cumulative sum of the weight products of all the distribution network indexes to obtain the index weight corresponding to the distribution network indexes.
2. The method according to claim 1, wherein the step of establishing a judgment matrix by a hierarchical analysis method according to the distribution network index, and the step of respectively obtaining a plurality of sub-weights by a composite weight calculation method based on the judgment matrix specifically comprises:
and establishing a judgment matrix through a hierarchical analysis mode according to the indexes of the power distribution network, and calculating through a geometric mean method, an arithmetic mean method, a feature vector method and a least square method respectively based on the judgment matrix to obtain a first sub-weight, a second sub-weight, a third sub-weight and a fourth sub-weight.
3. The method according to claim 2, wherein the step of performing a mean calculation on the sub-weights to obtain the second weight specifically comprises:
and carrying out mean value calculation on the first sub-weight, the second sub-weight, the third sub-weight and the fourth sub-weight to obtain a second weight.
4. The method for calculating the distribution network index weight according to claim 1, wherein the distribution network index specifically comprises: equipment running state index, reliability index, economic index, power quality index and environmental protection index.
5. The method according to claim 4, wherein the equipment operation state index specifically includes: the running life of the equipment, the failure rate of the equipment and the overload rate of the equipment.
6. The method for calculating the index weight of the power distribution network according to claim 4, wherein the reliability index specifically comprises: the power supply reliability, the average power failure time of the user and the average power failure times of the user.
7. The method according to claim 4, wherein the economic indicator specifically comprises: line loss rate, initial investment cost of equipment, annual maintenance cost and depreciation cost.
8. The method for calculating the index weight of the power distribution network according to claim 4, wherein the power quality index specifically comprises: voltage deviation, frequency deviation, grid harmonics and three-phase unbalance.
9. The method according to claim 4, wherein the environmental protection index specifically comprises: clean energy power generation ratio, CO2Reduced volume of SO2Volume reduction, nitride volume reduction.
10. A distribution network index weight calculation device is characterized by comprising:
the historical operation data acquisition unit is used for acquiring historical operation data of the power distribution network according to preset indexes of the power distribution network;
the entropy weight method operation unit is used for calculating a first weight corresponding to the index of the power distribution network through an entropy weight method according to the historical operation data;
the hierarchical analysis operation unit is used for establishing a judgment matrix through a hierarchical analysis mode according to the power distribution network indexes and respectively obtaining a plurality of sub-weights through a composite weight calculation mode based on the judgment matrix, wherein the composite weight calculation mode specifically comprises the following steps: at least two of a geometric mean method, an arithmetic mean method, a feature vector method and a least square method, wherein the number of the sub-weights corresponds to the number of calculation modes contained in the composite weight calculation mode;
the mean value operation unit is used for carrying out mean value calculation on each sub-weight to obtain a second weight;
and the index weight calculation unit is used for obtaining the weight product of the power distribution network indexes according to the product of the first weight and the second weight, and calculating the ratio of the weight product of the power distribution network indexes to the weight product accumulated sum of all the power distribution network indexes to obtain the index weight corresponding to the power distribution network indexes.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113985284A (en) * | 2021-11-25 | 2022-01-28 | 海南核电有限公司 | System and method for monitoring additional diesel generator of nuclear power station |
| CN114237176A (en) * | 2021-12-08 | 2022-03-25 | 中盈优创资讯科技有限公司 | Method and device for realizing out-of-control prejudgment of normal index in communication field based on control chart |
| CN115907490A (en) * | 2022-11-29 | 2023-04-04 | 山东华科信息技术有限公司 | Method and system for evaluating self-healing capability of power distribution network |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113985284A (en) * | 2021-11-25 | 2022-01-28 | 海南核电有限公司 | System and method for monitoring additional diesel generator of nuclear power station |
| CN114237176A (en) * | 2021-12-08 | 2022-03-25 | 中盈优创资讯科技有限公司 | Method and device for realizing out-of-control prejudgment of normal index in communication field based on control chart |
| CN115907490A (en) * | 2022-11-29 | 2023-04-04 | 山东华科信息技术有限公司 | Method and system for evaluating self-healing capability of power distribution network |
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