CN110490454B - Distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation - Google Patents

Distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation Download PDF

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CN110490454B
CN110490454B CN201910766821.9A CN201910766821A CN110490454B CN 110490454 B CN110490454 B CN 110490454B CN 201910766821 A CN201910766821 A CN 201910766821A CN 110490454 B CN110490454 B CN 110490454B
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陈绍南
李珊
周杨珺
梁朔
高立克
秦丽文
俞小勇
欧阳健娜
欧世锋
李克文
陈千懿
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Abstract

The invention belongs to the field of distribution network operation efficiency evaluation, and particularly relates to a distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation. The invention definitely gives the relation between the load rate of the distribution network equipment and the operation efficiency of the equipment, constructs an evaluation model of the operation efficiency of single distribution network equipment, simultaneously establishes an evaluation system of the operation state of the distribution network equipment, calculates the health degree of the equipment to quantitatively evaluate the operation state of the equipment, and substitutes the evaluation model of the operation efficiency of the distribution network equipment to take the influence of the operation state of the equipment on the operation efficiency into consideration. The operation efficiency of the distribution network equipment is related to the operation efficiency of the whole distribution network asset, the proportion of each equipment in the same equipment level is determined by the importance of the electricity customers connected with the modeling quantification equipment with different user importance, and finally the influence of equipment depreciation is considered when the operation efficiency of the whole distribution network system asset is calculated.

Description

Distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation
Technical Field
The invention belongs to the field of distribution network operation efficiency evaluation, and particularly relates to a distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation.
Background
The power distribution network directly faces to users and occupies a very important position as a terminal link in a power system. Due to the rapid development of the economic society, the planning and construction of the power distribution network are more important to the improvement of power supply capacity and power supply reliability, and the attention to the operation efficiency of the power distribution network is generally lacked. At present, related research aiming at the evaluation of the operation efficiency of a distribution network mainly focuses on the aspects of equipment utilization rate such as power management and electronic instruments, and the like, and the related research on the operation efficiency of the whole power grid asset is relatively less. Some scholars understand the utilization rate of the equipment as the maximum load rate which can be achieved by the equipment, and on the basis, the study is carried out on the maximum utilization level of the corresponding equipment when the power distribution network achieves the maximum power supply capacity under the condition that a certain safety criterion is met. There are also studies on optimization of the grid structure based on the power supply capacity. However, in the past research, the difference between the equipment load rate and the equipment utilization rate is not determined, a corresponding distribution network equipment operation efficiency evaluation model is provided on the basis, the distribution network asset operation efficiency is not related to the distribution network equipment operation efficiency, and the current distribution network asset operation efficiency evaluation is only limited to the input-output economic evaluation of distribution network planning.
Disclosure of Invention
In order to solve the problems, the invention provides a distribution network asset operation efficiency evaluation method based on distribution network equipment operation efficiency evaluation, which comprises the following specific technical scheme:
a distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation is characterized by comprising the following steps: the method comprises the following steps:
s1: determining the optimal load capacity of each level of equipment of the distribution network according to the safety criterion required to be met by the distribution network and the influence of the margin left by the increase of the load on the load capacity of the equipment of the distribution network;
s2: selecting an operation state evaluation index aiming at the distribution network equipment, establishing a distribution network equipment operation state evaluation system and calculating the health degree of the distribution network equipment to quantify the equipment operation state; the distribution network equipment comprises a medium-voltage distribution line and a distribution transformer;
s3: measuring the asset operation efficiency of the equipment by calculating the deviation degree of the average load rate and the optimal load rate of the equipment, and constructing an asset operation efficiency evaluation model of the whole life cycle of the single distribution network equipment by considering load increase, equipment depreciation and equipment aging;
s4: the method comprises the steps of modeling the importance degrees of various types of users according to different importance degrees of the users, quantifying the importance degrees of various users by calculating the power failure loss of the users, determining the weight of the equipment according to the importance degrees of the users and the proportion of the load of each equipment of the distribution network at the same level, and constructing an asset operation efficiency evaluation model of the equipment at the same level of the distribution network;
s5: calculating the weight of different equipment in the whole distribution network system according to the weight of the total asset current value of the equipment, constructing an asset operation efficiency evaluation model of the whole distribution network system, and calculating the asset operation efficiency of the distribution network by adopting the constructed asset operation efficiency evaluation model of the distribution network system.
Preferably, the step S1 includes the steps of:
s11: the safety criterion is an 'N-1' safety criterion, and the optimal load rate calculation formula of the overhead multi-segment N-1 interconnection and the cable 'N-1' main/standby medium-voltage distribution line under the condition of meeting the 'N-1' safety criterion is shown as the following formula:
Figure BDA0002172204090000021
wherein the content of the first and second substances,
Figure BDA0002172204090000022
the optimal load rate of the medium-voltage distribution line;
s12: setting the optimal load factor of the transformer as
Figure BDA0002172204090000023
Then the calculation formula is as follows:
Figure BDA0002172204090000024
wherein, Δ P0For the no-load active loss of the transformer, the unit is: kW; delta Q0The unit is the idle loss of the transformer in no load: kvar; delta PkFor transformer load active loss, unit: kW; delta QkFor transformer load reactive loss, unit: kvar; t isgThe unit is the number of operating hours of the transformer in year: h; tau is the annual loss hours of the maximum load of the transformer; kqIs the reactive power economic equivalent, unit: kW/kvar;
s13: when the optimal load rate of the distribution network equipment is calculated, the margin left by the increase of the load also needs to be considered, and the calculation formula is as follows:
Figure BDA0002172204090000025
wherein, betaoptimalThe optimal load rate of the equipment under the condition of not considering the margin left by the increase of the load; beta'optimalThe optimal load rate of the equipment under the condition of allowance reserved for considering load increase; v is the equipment load acceleration rate; n is the considered load increase time in units: and (5) year.
Preferably, the step S2 of establishing the distribution network device operation state evaluation system by using the entropy weight method includes the following steps:
s21: randomly selecting n devices for analysis, and setting the number of evaluation indexes as m, then having a data matrix Xnm：
Figure BDA0002172204090000026
S22: the evaluation indexes are normalized, and the normalized data matrix is X'nmWherein the positive indicator normalization formula is as follows:
Figure BDA0002172204090000027
wherein the content of the first and second substances,
Figure BDA0002172204090000028
is the minimum value of the j index n devices,
Figure BDA0002172204090000029
the maximum value of the j index n devices is obtained; x'ijIs normalized data matrix of X'nmNormalized elements of the ith row and jth column; x is the number ofijAs a data matrix XnmThe ith row and the jth column;
the negative indicator normalization formula is as follows:
Figure BDA0002172204090000031
s23: calculating a normalized data matrix X'nmSpecific gravity of the respective elements, x'ijThe specific gravity calculation formula is as follows:
Figure BDA0002172204090000032
yijis element x'ijSpecific gravity of (a);
s24: after the proportion of each element of the matrix is calculated, the information entropy e of the jth index is calculatedjThe calculation formula is as follows:
Figure BDA0002172204090000033
s25: calculating the weight w of each index, the jth indexjThe calculation formula is as follows:
Figure BDA0002172204090000034
preferably, the operation state of the equipment quantified by calculating the health degree of the equipment of the distribution network is specifically as follows:
and calculating the health degree of the distribution network equipment by adopting an index weighting method, and calculating by utilizing the following weighted summation formula:
Figure BDA0002172204090000035
wherein, GiIs the health score of the ith distribution network device, because of x'ijValue of [0,1]Thus GiHas a value range of [0,1 ]]。
Preferably, in step S3, the model for evaluating the asset operation efficiency of the distribution network device in the whole life cycle is constructed as follows:
s31: calculating the full-period utilization efficiency of the equipment according to a capacity factor, wherein the capacity factor is the ratio of the actual electric quantity to the maximum theoretical electric quantity, and the calculation formula is as follows:
Figure BDA0002172204090000036
wherein Cf is a capacity factor; e is the actual power supply amount in the power supply time T; c is the equipment capacity; t is power supply time;
the calculation formula of the full-cycle utilization efficiency of the equipment is as follows:
Figure BDA0002172204090000037
wherein eta is the utilization efficiency of the whole life cycle of the equipment; eiPutting the actual power supply amount of the equipment in the ith year of operation; n is the actual operational life of the equipment; esumThe total power supply amount within the operational life of the equipment is calculated; t isdDesign life for the equipment;
s32: the following derivation is made from equation (12):
Figure BDA0002172204090000041
s33: measuring the operation efficiency of the equipment according to the deviation degree of the average load rate and the optimal load rate of the equipment, wherein the higher the deviation degree is, the lower the efficiency is, otherwise, the higher the efficiency is, and constructing an asset operation efficiency evaluation model of the whole life cycle of the distribution network equipment;
when the average load rate beta of the equipmentaverageIs less than or equal to the optimal load factor beta of the equipment'optimalAnd then, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (14):
Figure BDA0002172204090000042
when the average load rate beta of the equipmentaverageNot less than equipment optimal load factor beta'optimalAnd then, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (15):
Figure BDA0002172204090000043
wherein eta' is the asset operating efficiency of the equipment in the whole life cycle; g is equipment health degree score obtained by evaluating the running state evaluation system; t isrunThe actual operational life of the equipment; t isdThe service life is designed for the equipment.
Preferably, the step of constructing the asset operation efficiency evaluation model of the distribution network same-level device in the step S4 is as follows:
s41: classifying users into K types according to different importance degrees of the users;
s42: counting the unit power failure loss of various users, and calculating the unit power failure loss difference matrix of various users:
Figure BDA0002172204090000044
wherein,. DELTA.lij＝li-lj，liAnd ljThe unit power failure loss of users numbered as ith and jth is respectively represented, and i, j is 1,2, …, K;
s43: constructing an objective judgment matrix according to the unit power failure loss difference matrix of various users:
Figure BDA0002172204090000051
wherein a isijIs determined by the following formula:
Figure BDA0002172204090000052
s44: calculating the product PA of each row of elements of the objective judgment matrixi：
Figure BDA0002172204090000053
S45: calculating PAiOf (a) is n times the root of the square RAi：
Figure BDA0002172204090000054
S46: calculating the importance degree of various users based on objective angles;
Figure BDA0002172204090000055
s47: determining the weight of the equipment in the same-level equipment according to the power supply ratio of each equipment in the same-level equipment and the importance of a user connected with the equipment, and weighting and calculating the asset operation efficiency of the equipment on the same layer of the distribution network:
Figure BDA0002172204090000056
wherein eta islevelEfficiency for equipment level asset operation;
Figure BDA0002172204090000057
the importance of the user connected to the ith device; eta 'of'iOperating efficiency for the i-th equipment's full life cycle asset; w is aiAnd the power supply amount of the ith device accounts for the total power supply amount of the devices at the same layer.
Preferably, the step S5 is specifically performed by constructing an asset operation efficiency evaluation model of the entire distribution network system as follows:
Figure BDA0002172204090000058
wherein eta issystemThe asset operation efficiency of the distribution network system is improved;
Figure BDA0002172204090000061
operating efficiency for kth equipment level assets; w is akFor class k device hierarchyThe weight of (c);
Figure BDA0002172204090000062
the invention has the beneficial effects that:
compared with the traditional asset operation efficiency evaluation method, the invention definitely gives the relation between the load rate of the distribution network equipment and the equipment operation efficiency, constructs an evaluation model of the operation efficiency of single distribution network equipment, simultaneously establishes an evaluation system of the operation state of the distribution network equipment, calculates the health degree of the equipment to quantitatively evaluate the operation state of the equipment, and substitutes the evaluation model of the operation efficiency of the distribution network equipment to take the influence of the operation state of the equipment on the operation efficiency into consideration. The operation efficiency of the distribution network equipment is related to the operation efficiency of the whole distribution network asset, the proportion of each equipment in the same equipment level is determined by the importance of the electricity customers connected with the modeling quantification equipment with different user importance, and finally the influence of equipment depreciation is considered when the operation efficiency of the whole distribution network system asset is calculated.
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FIG. 1 is a flow chart of the present invention;
fig. 2 is an evaluation index system of the operation state of the distribution network device constructed in this embodiment.
Detailed Description
For a better understanding of the present invention, reference is made to the following detailed description taken in conjunction with the accompanying drawings in which:
as shown in fig. 1, the distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation is characterized in that: the method comprises the following steps:
s1: and determining the optimal load capacity of each level of equipment of the distribution network according to the safety criterion required to be met by the distribution network and the influence of the margin left by the increase of the load on the load capacity of the equipment of the distribution network. The method comprises the following steps:
s11: in order to meet the safe and reliable power supply of the power distribution network, an 'N-x' safety criterion needs to be met, and the larger the value of x in the 'N-x' safety criterion is, the more standby capacity needs to be provided by the system, and the optimal load rate of equipment is reduced.
In the case of meeting the "N-x" safety criterion, the more line contacts, the greater the load that can be taken in normal operation, i.e. the greater the optimum load capacity of the equipment, for the medium voltage distribution line. Therefore, the safety criterion is an 'N-1' safety criterion, and under the condition that the 'N-1' safety criterion is met, the optimal load rate calculation formula of the overhead multi-segment N-1 interconnection and the cable 'N-1' main/standby medium-voltage distribution line is as follows:
Figure BDA0002172204090000063
wherein the content of the first and second substances,
Figure BDA0002172204090000064
the optimal load factor for the medium voltage distribution line.
For medium voltage distribution lines, the optimum load rates for which the "N-1" safety criteria are met are shown in Table 1 below:
TABLE 1 optimum load factor for medium voltage distribution lines meeting "N-1" safety criteria
Figure BDA0002172204090000071
S12: for a distribution transformer, when the no-load loss and the load loss of the transformer are equal, the efficiency is the highest, the corresponding load efficiency is also called as the economic load efficiency, when the annual no-load loss and the annual energy load loss of the transformer are equal, the efficiency is the highest, and the optimal load efficiency of the transformer is set as
Figure BDA0002172204090000072
Then the calculation formula is as follows:
Figure BDA0002172204090000073
wherein, Δ P0The unit is the no-load active loss of the transformer: kW; delta Q0Is the no-load reactive loss of the transformer, the unit is: kvar; delta PkFor transformer load active loss, unit: kW; delta QkFor transformer load reactive loss, unit: kvar; t isgThe unit is the number of operating hours of the transformer in year: h; tau is the annual loss hours of the maximum load of the transformer; kqIs the reactive power economic equivalent, unit: kW/kvar; in theoretical calculation analysis, generally K is takenqIs 0.1 kW/kvar. After determining the type and capacity of the transformer, the delta P of the transformer0、ΔQ0、ΔPk、ΔQkThe voltage transformer is a constant value, and the annual input operation hours of the voltage transformer can be determined and are also constant values. The annual loss hours tau of the maximum load of the transformer is related to the type of the power customers connected with the transformer, the classified statistical analysis can be carried out according to historical data of the past year, namely the annual loss hours of the maximum load of the transformers of the power customers connected with the power customers of different types in the past year, the average value of the annual loss hours of the maximum load of the transformer corresponding to the power customers of different types is determined and used as a parameter substitution calculation for calculating the optimal load rate of the transformer, and therefore the optimal (economic) load rate of the transformer can be solved.
S13: in order to meet the demand of distribution network planning development, a certain margin is often reserved for the load rate of distribution network equipment, and due to the difference of various influence factors such as development planning of various regions and economic development speed, the margin left by load increase is also different, so that the margin left by load increase also needs to be considered when the optimal load rate of the distribution network equipment is calculated, and the calculation formula is as follows:
Figure BDA0002172204090000074
wherein, betaoptimalThe optimal load rate of the equipment under the condition of allowance left for not considering load increase; beta'optimalThe optimal load rate of the equipment under the condition of allowance reserved for considering load increase; v is the equipment load acceleration rate; n is the considered load increase time in units: and (5) year. S2: selecting running state evaluation finger for distribution network equipmentEstablishing a distribution network equipment running state evaluation system and calculating the health degree of the distribution network equipment to quantify the equipment running state; the distribution network equipment comprises a medium-voltage distribution line and a distribution transformer.
According to the method, the evaluation index of the running state of the distribution network equipment is selected according to historical statistical data and common problems of the 10kV line and the distribution transformer. As shown in fig. 2, for a 10kV medium voltage line, the common problems are mainly line heavy overload, line fault and line defect, so that the line overload duration, the line heavy load duration, the line overload occurrence, the line fault duration, the line fault frequency and the line defect frequency are selected as the evaluation indexes of the operation state of the 10kV medium voltage distribution line. For the distribution transformer of the low-voltage distribution transformer area, the common problems mainly comprise distribution transformer overload, three-phase unbalance, low voltage of the distribution transformer area, distribution transformer faults and distribution transformer defects, so that the distribution transformer overload time, the distribution transformer overload occurrence frequency, the distribution transformer low-voltage time, the distribution transformer low-voltage occurrence frequency, the distribution transformer three-phase unbalance degree, the distribution transformer three-phase unbalance out-of-range days, the distribution transformer fault frequency and the distribution transformer fault power failure duration time are selected. In addition, according to actual problems and actual engineering requirements of running state evaluation, indexes can be updated and replaced.
An entropy weight method is adopted to establish a distribution network equipment operation state evaluation system, and the method comprises the following steps:
s21: randomly selecting n devices for analysis, and setting the number of evaluation indexes as m, then having a data matrix Xnm：
Figure BDA0002172204090000081
S22: the evaluation index is normalized, and the normalized data matrix is X'nmWherein the positive indicator normalization formula is as follows:
Figure BDA0002172204090000082
wherein the content of the first and second substances,
Figure BDA0002172204090000083
is the minimum value of the j index n devices,
Figure BDA0002172204090000084
the maximum value of the j index n devices is obtained; x'ijIs normalized data matrix X'nmNormalized element of ith row and jth column; x is the number ofijAs a data matrix XnmRow i and column j;
the negative indicator normalization formula is as follows:
Figure BDA0002172204090000085
the larger the positive index is the index value, the better the running state of the equipment is, and the smaller the negative index is the index value, the better the running state of the equipment is;
s23: calculating a normalized data matrix X'nmSpecific gravity of the respective elements, x'ijThe specific gravity calculation formula is as follows:
Figure BDA0002172204090000091
yijis element x'ijSpecific gravity of (a);
s24: after the proportion of each element of the matrix is calculated, the information entropy e of the jth index is calculatedjThe calculation formula is as follows:
Figure BDA0002172204090000092
s25: calculating the weight w of each index, the jth indexjThe calculation formula is as follows:
Figure BDA0002172204090000093
the method for quantifying the running state of the equipment by calculating the health degree of the equipment of the distribution network is as follows:
the health degree of the distribution network equipment is calculated by adopting an index weighting method, and the health degree is calculated by utilizing the following weighted summation formula:
Figure BDA0002172204090000094
wherein G isiIs the health score of the ith distribution network device, because of x'ijValue of [0,1]Thus GiHas a value range of [0,1 ]]。
S3: measuring the asset operation efficiency of the equipment by calculating the deviation degree of the average load rate and the optimal load rate of the equipment, and constructing an asset operation efficiency evaluation model of the whole life cycle of the single distribution network equipment by considering load increase, equipment depreciation and equipment aging; the construction of the asset operation efficiency evaluation model of the whole life cycle of a single distribution network device is as follows:
s31: calculating the full-period utilization efficiency of the equipment according to a capacity factor, wherein the capacity factor is the ratio of the actual electric quantity to the maximum theoretical electric quantity and is an international commonly used index for calculating the utilization efficiency of the equipment, and the calculation formula is as follows:
Figure BDA0002172204090000095
wherein Cf is a capacity factor; e is the actual power supply amount in the power supply time T; c is the equipment capacity; t is power supply time;
the calculation formula of the full-cycle utilization efficiency of the equipment is as follows:
Figure BDA0002172204090000096
wherein eta is the utilization efficiency of the whole life cycle of the equipment; eiPutting the actual power supply amount of the equipment in the ith year of operation; n is the actual operational life of the equipment; esumThe total power supply amount within the operational life of the equipment is calculated; t isdTo be provided withThe design service life of the device;
s32: the following derivation is made from equation (12):
Figure BDA0002172204090000101
s33: measuring the operation efficiency of the equipment according to the deviation degree of the average load rate and the optimal load rate of the equipment, wherein the higher the deviation degree is, the lower the efficiency is, otherwise, the higher the efficiency is, and constructing an asset operation efficiency evaluation model of the whole life cycle of the distribution network equipment;
when the average load rate beta of the equipmentaverageIs less than or equal to the optimal load factor beta of the equipment'optimalAnd then, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (14):
Figure BDA0002172204090000102
when the average load rate beta of the equipmentaverageNot less than the optimum load factor beta of the equipmento′ptimalAnd then, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (15):
Figure BDA0002172204090000103
wherein eta' is the asset operation efficiency of the equipment in the whole life cycle; g is equipment health degree score obtained by evaluating the running state evaluation system; t isrunThe actual operational life of the equipment; t isdThe service life is designed for the equipment.
S4: the method comprises the steps of modeling the importance degrees of various types of users aiming at different importance degrees of the users, quantifying the importance degrees of various types of users by calculating the power failure loss of the users, determining the weight of the equipment according to the importance degrees of the users and the proportion of the load of each equipment of the distribution network at the same level, and constructing an asset operation efficiency evaluation model of the equipment at the same level of the distribution network.
The method for constructing the asset operation efficiency evaluation model of the distribution network same-level equipment comprises the following steps:
s41: classifying users into K types according to different importance degrees of the users; in the embodiment, users are divided into 7 types aiming at different importance degrees of the users, namely, K is 7, the users are primary important users, industrial users, commercial users, agricultural users, residential users, governments and public institutions and office buildings, and the user numbers are 1-7 respectively;
s42: counting the unit power failure loss of various users, and calculating the unit power failure loss difference matrix of various users:
Figure BDA0002172204090000104
wherein,. DELTA.lij＝li-lj，liAnd ljThe unit power failure loss of users with the numbers of ith class and jth class is respectively shown, i, j is 1,2, … and 7;
s43: constructing an objective judgment matrix according to the unit power failure loss difference matrix of various users:
Figure BDA0002172204090000111
wherein a isijIs determined by the following formula:
Figure BDA0002172204090000112
s44: calculating the product PA of each row of elements of the objective judgment matrixi：
Figure BDA0002172204090000113
S45: calculating PAiOf (a) is n times the root of the square RAi：
Figure BDA0002172204090000114
S46: calculating the importance degree of various users based on objective angles;
Figure BDA0002172204090000115
s47: determining the weight of the equipment in the same-level equipment according to the power supply ratio of each equipment in the same-level equipment and the importance of a user connected with the equipment, and weighting and calculating the asset operation efficiency of the equipment on the same layer of the distribution network:
Figure BDA0002172204090000116
wherein eta islevelEfficiency for equipment level asset operation;
Figure BDA0002172204090000117
the importance of the user connected to the ith device; eta 'of'iOperating efficiency for the i-th equipment's full life cycle asset; w is aiThe specific calculation for the ratio of the power supply amount of the ith device in the total power supply amount of the devices in the same hierarchy is as follows:
Figure BDA0002172204090000121
s5: calculating the weight of different equipment in the whole distribution network system according to the weight of the total asset current value of the equipment, constructing an asset operation efficiency evaluation model of the whole distribution network system, and calculating the asset operation efficiency of the distribution network by adopting the constructed asset operation efficiency evaluation model of the distribution network system.
When the asset operation efficiency of the whole distribution network system is evaluated, because different types of equipment are difficult to unify during scale estimation, the weight of the equipment in the distribution network system is reflected by the asset present value of each equipment level, and therefore the asset operation efficiency evaluation model of the whole distribution network system is specifically constructed as follows:
Figure BDA0002172204090000122
wherein eta issystemThe asset operation efficiency of the distribution network system is improved;
Figure BDA0002172204090000123
operating efficiency for kth equipment level assets; w is akIs the weight of the kth class device hierarchy;
Figure BDA0002172204090000124
the invention takes a distribution network in a certain area to carry out example analysis, respectively selects four medium-voltage lines with different wiring modes in the area to carry out application of a single distribution network equipment operation efficiency evaluation model, the annual load increase rate of the area is 1.5%, the load increase in the last three years is considered, the average operation life is 15 years, and the medium-voltage line operation efficiency result obtained by evaluation is shown in the following table 2:
table 2 evaluation results of medium voltage distribution line operation efficiency
Parameter(s) Line 1 Line 2 Line 3 Line 4
Wiring pattern Aerial bill contact Aerial bill contact Overhead deviceSegment 2 contact Cable '4-1' main and standby
Average load factor of line 0.3361 0.4622 0.5708 0.7518
Line operational life 18 16 11 7
Health degree (decimal) 0.76 0.72 0.85 0.92
Efficiency of operation 0.6413 0.7426 0.5579 0.4096
In addition, 5 distribution network areas (divided according to the areas of the district power supply bureau) are selected for calculation and analysis, wherein the evaluation results of the distribution and transformation levels of the distribution lines and the low-voltage station areas and the operation efficiency of the distribution network assets of the areas are shown in the following table 3:
TABLE 3 regional distribution network asset operation efficiency evaluation results
Figure BDA0002172204090000125
Figure BDA0002172204090000131
The present invention is not limited to the above-described embodiments, which are merely preferred embodiments of the present invention, and the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (1)

1. A distribution network asset operation efficiency calculation method based on distribution network equipment operation efficiency evaluation is characterized by comprising the following steps: the method comprises the following steps:
s1: determining the optimal load capacity of each level of equipment of the distribution network according to the safety criterion required to be met by the distribution network and the influence of the margin left by the increase of the load on the load capacity of the equipment of the distribution network;
the step S1 includes the following steps:
s11: the safety criterion is an 'N-1' safety criterion, and the optimal load rate calculation formula of the overhead multi-segment N-1 interconnection and the cable 'N-1' main/standby medium-voltage distribution line under the condition of meeting the 'N-1' safety criterion is shown as the following formula:
Figure FDA0003584364390000011
wherein the content of the first and second substances,
Figure FDA0003584364390000012
the optimal load rate of the medium-voltage distribution line;
s12: setting the optimal load factor of the transformer to be
Figure FDA0003584364390000013
Then the calculation formula is as follows:
Figure FDA0003584364390000014
wherein, Δ P0The unit is the no-load active loss of the transformer: kW; delta Q0The unit is the idle loss of the transformer in no load: kvar; delta PkFor transformer load active loss, unit: kW; delta QkFor transformer load reactive loss, unit: kvar; t isgThe unit is the number of operating hours of the transformer in year: h; tau is the annual loss hours of the maximum load of the transformer; k isqIs the reactive power economic equivalent, unit: kW/kvar;
s13: when the optimal load rate of the distribution network equipment is calculated, the margin left by the increase of the load also needs to be considered, and the calculation formula is as follows:
Figure FDA0003584364390000015
wherein, betaoptimalThe optimal load rate of the equipment under the condition of allowance left for not considering load increase; beta'optimalThe optimal load rate of the equipment under the condition of allowance reserved for considering load increase; v is the equipment load acceleration rate; n is the considered load increase time in units: year;
s2: selecting an operation state evaluation index aiming at the distribution network equipment, establishing a distribution network equipment operation state evaluation system and calculating the health degree of the distribution network equipment to quantify the equipment operation state; the distribution network equipment comprises a medium-voltage distribution line and a distribution transformer;
in the step S2, an entropy weight method is used to establish a distribution network device operation state evaluation system, which includes the following steps:
s21: randomly selecting n devices for analysis, and setting the number of evaluation indexes as m, then having a data matrix Xnm：
Figure FDA0003584364390000016
S22: normalizing the evaluation index, and the normalized data momentX 'array'nmWherein the positive indicator normalization formula is as follows:
Figure FDA0003584364390000021
wherein the content of the first and second substances,
Figure FDA0003584364390000022
is the minimum value of the n devices of the j index,
Figure FDA0003584364390000023
the maximum value of the j index n devices is obtained; x'ijIs normalized data matrix of X'nmNormalized element of ith row and jth column; x is the number ofijAs a data matrix XnmRow i and column j;
the negative indicator normalization formula is as follows:
Figure FDA0003584364390000024
s23: calculating a normalized data matrix X'nmSpecific gravity of the respective elements, x'ijThe specific gravity calculation formula is as follows:
Figure FDA0003584364390000025
yijis element x'ijSpecific gravity of (a);
s24: after the proportion of each element of the matrix is calculated, the information entropy e of the jth index is calculatedjThe calculation formula is as follows:
Figure FDA0003584364390000026
s25: calculating the weight w of each index, the jth indexjThe calculation formula is as follows:
Figure FDA0003584364390000027
the method for quantifying the running state of the equipment by calculating the health degree of the equipment of the distribution network is as follows:
and calculating the health degree of the distribution network equipment by adopting an index weighting method, and calculating by utilizing the following weighted summation formula:
Figure FDA0003584364390000028
wherein G isiScoring health of ith distribution network device as x'ijTakes a value of [0,1]Thus GiHas a value range of [0,1 ]]；
S3: measuring the asset operation efficiency of the equipment by calculating the deviation degree of the average load rate and the optimal load rate of the equipment, and constructing an asset operation efficiency evaluation model of the whole life cycle of the single distribution network equipment by considering load increase, equipment depreciation and equipment aging;
in step S3, the model for evaluating the asset operation efficiency of the distribution network device in the whole life cycle is constructed as follows:
s31: calculating the full-period utilization efficiency of the equipment according to a capacity factor, wherein the capacity factor is the ratio of the actual electric quantity to the maximum theoretical electric quantity, and the calculation formula is as follows:
Figure FDA0003584364390000031
wherein Cf is a capacity factor; e is the actual power supply amount in the power supply time T; c is the equipment capacity; t is power supply time;
the calculation formula of the full-cycle utilization efficiency of the equipment is as follows:
Figure FDA0003584364390000032
wherein eta is the utilization efficiency of the whole life cycle of the equipment; eiPutting the actual power supply amount of the equipment in the ith year of operation; n is the actual operational life of the equipment; esumThe total power supply amount within the operational life of the equipment is calculated; t isdDesign life for the equipment;
s32: the following derivation is made from equation (12):
Figure FDA0003584364390000033
s33: measuring the operation efficiency of the equipment according to the deviation degree of the average load rate and the optimal load rate of the equipment, wherein the higher the deviation degree is, the lower the efficiency is, otherwise, the higher the efficiency is, and constructing an asset operation efficiency evaluation model of the whole life cycle of the distribution network equipment;
when the average load rate beta of the equipmentaverageLess than or equal to the optimal load factor beta of the equipment'optimalAnd then, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (14):
Figure FDA0003584364390000034
when the average load rate beta of the equipmentaverageNot less than equipment optimal load factor beta'optimalThen, the evaluation model of the asset operation efficiency of the whole life cycle of the distribution network equipment is as follows (15):
Figure FDA0003584364390000035
wherein eta' is the asset operating efficiency of the equipment in the whole life cycle; g is equipment health degree score obtained by evaluating the running state evaluation system; t isrunThe actual operational life of the equipment; t isdDesigning the service life of the equipment;
s4: the method comprises the steps of modeling the importance degrees of various types of users according to different importance degrees of the users, quantifying the importance degrees of various users by calculating the power failure loss of the users, determining the weight of the equipment according to the importance degrees of the users and the proportion of the load of each equipment of the distribution network at the same level, and constructing an asset operation efficiency evaluation model of the equipment at the same level of the distribution network;
the step of constructing the distribution network same-level equipment asset operation efficiency evaluation model in the step S4 is as follows:
s41: classifying users into K types according to different importance degrees of the users;
s42: counting the unit power failure loss of various users, and calculating the unit power failure loss difference matrix of various users:
Figure FDA0003584364390000041
wherein,. DELTA.lij＝li-lj，liAnd ljThe unit power failure loss of users with the numbers of ith class and jth class is respectively shown, i, j is 1,2, …, K;
s43: constructing an objective judgment matrix according to the unit power failure loss difference matrix of various users:
Figure FDA0003584364390000042
wherein a isijIs determined by the following formula:
Figure FDA0003584364390000043
s44: calculating product PA of each row element of objective judgment matrixi：
Figure FDA0003584364390000044
S45: calculating PAiOf (a) is n times the root of the square RAi：
Figure FDA0003584364390000045
S46: calculating the importance degree of various users based on objective angles;
Figure FDA0003584364390000051
s47: determining the weight of the equipment in the same-level equipment according to the power supply ratio of each equipment in the same-level equipment and the importance of a user connected with the equipment, and weighting and calculating the asset operation efficiency of the equipment on the same layer of the distribution network:
Figure FDA0003584364390000052
wherein eta islevelEfficiency for equipment level asset operation;
Figure FDA0003584364390000056
the importance of the user connected to the ith device; eta 'of'iOperating efficiency for the i-th equipment's full life cycle asset; w is aiThe power supply amount of the ith device accounts for the total power supply amount of the devices in the same layer;
s5: calculating the weight of different equipment in the whole distribution network system according to the weight of the total asset current value of the equipment, constructing a whole distribution network system asset operation efficiency evaluation model, and calculating the distribution network asset operation efficiency by adopting the constructed distribution network system asset operation efficiency evaluation model;
in the step S5, the method for constructing the asset operation efficiency evaluation model of the entire distribution network system specifically includes the following steps:
Figure FDA0003584364390000053
wherein eta issystemThe operation efficiency of the assets of the distribution network system is improved;
Figure FDA0003584364390000054
operating efficiency for kth equipment level assets; w is akIs the weight of the kth class device hierarchy;
Figure FDA0003584364390000055
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