CN110991876A - Primary and secondary fusion on-column switch inspection strategy based on state assessment - Google Patents
Primary and secondary fusion on-column switch inspection strategy based on state assessment Download PDFInfo
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Abstract
The invention relates to a primary and secondary fusion on-column switch inspection strategy based on state evaluation, which comprises the following processes in a period of finishing primary inspection/maintenance: determining the constant weight of the index importance; emptying state quantity data set D at the beginning of each polling period1(ii) a Sampling the on-line monitoring data of the switch state indexes on the primary and secondary fusion column and adding the sampling value to D1Performing the following steps; based on D1Calculating variable value weights describing the degradation degrees of the state index data; combining the variable weight and the constant weight by adopting a combined weighting method to jointly determine a weight matrix; and then evaluating the current state of the column switch by combining a fuzzy comprehensive evaluation method, and adopting a corresponding routing inspection strategy according to the current state. The primary and secondary fusion column switch inspection strategy based on state evaluation can more comprehensively reflect the operation states of the primary and secondary parts of the column switch. In addition, the combined weighting method can avoid the common weighting methodThe method has the problem that the sensitivity of identifying part of indexes is too low due to the difference of importance.
Description
Technical Field
The invention relates to a power distribution switchgear state evaluation and inspection strategy thereof of a power system, in particular to a primary and secondary fusion pole top switch inspection strategy based on state evaluation.
Background
With the development of smart power grids, the physical fusion degree of information of power equipment is enhanced more, secondary equipment is fused into primary equipment more and tends to be integrated and integrated gradually (Yuanhao, Runggang, Zhuangsejin, and the like. the monitoring content of the state of the secondary equipment of the power grid discusses [ J ]. power system automation, 2014,38(12):100-106.2.ECT and EVT are fused in the primary and secondary fusion of the intelligent power distribution equipment [ J ]. power capacitor and reactive compensation, 2019,40(01):108 and 114), so that the coupling effect between the primary and secondary equipment is stronger and stronger, and the existing on-column switch state evaluation scheme is developed only aiming at a switch body and cannot carry out comprehensive evaluation on the overall operation states of the primary and secondary equipment.
The method combines the historical data degradation condition and the index importance degree, adopts a combined weighting mode to avoid the problem of low sensitivity of degradation identification of partial index data caused by the difference of the importance degrees, further comprehensively considers the factors of the operation state and the non-operation state of the column switch I, the secondary equipment, evaluates the overall operation state of the column switch I and the secondary equipment, and provides reference and guidance for arranging and routing inspection of the column switch equipment.
Disclosure of Invention
The invention aims to solve the problem that the sensitivity of identifying the deterioration of partial index data is too low due to the difference of importance degree in the weighting process; on the other hand, the operation state and non-operation state factors of the pole-mounted switch I, the secondary equipment are comprehensively considered, the overall operation state of the pole-mounted switch I and the secondary equipment is evaluated, and reference and guidance are provided for arranging and inspecting the pole-mounted switch equipment.
The invention provides a primary and secondary fusion column switch inspection strategy based on state evaluation, which comprises the following steps of:
(1) determining the index importance constant weight by using an analytic hierarchy process, wherein the index importance constant weight is fixed and unchangeable, so that the process only needs to be carried out once, and the obtained weight value can be directly used;
(2) each patrolEmptying the state quantity data set D at the beginning of the examination period1The system comprises a sampling module, a sampling module and a data processing module, wherein the sampling module is used for sampling state quantity data in a current period;
(3) the on-line monitoring data sampling method for the on-line switch state indexes of the primary and secondary fusion column comprises three parts of data, namely operation state indexes such as a switch body, a secondary part and the like and non-operation state indexes, and the data are added into D1Updating;
(4) based on updated D1Calculating the weight of the current degradation degree of each index data, because D is before each evaluation1The weights are updated, so that the calculated weights can reflect the change trend of the state quantity and have the property of changing weights;
(5) combining the index importance constant weight and the data degradation degree variable weight to carry out combined weighting, and further combining a fuzzy comprehensive evaluation method to evaluate the current states of the three parts of the column switches;
(6) and adopting a corresponding inspection strategy according to the state evaluation result and continuing the current inspection cycle or starting a new inspection cycle.
In the above-mentioned primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation, the operation state indexes and non-operation state indexes of the switch body and the secondary part are specifically as follows:
the operating state indexes of the switch body comprise vacuum degree, relative abrasion degree of a contact, temperature of the contact and similarity of vibration signals;
the secondary part running state indexes comprise the health state of the storage battery, the terminal online rate, the temperature of the controller, the humidity of the controller and the self-checking abnormal frequency;
the non-operation state indexes comprise air temperature, atmospheric humidity, atmospheric pollution level, accumulated action times and annual average fault times.
In the above-mentioned primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation, the weight of degradation degree variation of each index data is based on all state quantity data of each state index of the switch to be evaluated in the inspection period when evaluating through an entropy weight method, namely D after updating1All data are calculated, and the weight can reflect the degradation trend of the state quantity; and due to each timeBefore evaluation D1Are updated, so that the calculated weight can reflect the change trend of the state quantity and has the weight change property.
In the foregoing strategy for routing inspection of the first and second fused column switches based on state estimation, the current state estimation value of the column switch specifically includes:
the current attribution state of the column switch comprises four states of normal, attention, abnormity and severity;
calculating a score value p corresponding to each attribution state;
the evaluation result form is composed of the highest score pmaxGiven together with its attributed status, e.g., 0.5051-Severe, indicating that the current attributed status is "Severe".
In the above-mentioned primary and secondary fusion column switch inspection strategy based on state evaluation, the corresponding inspection strategy is specifically shown in the following table:
TABLE 1 routing policy
Note: in the table, I, II and III respectively represent the evaluation results of the operation state and the non-operation state of the on-column switch body and the secondary part.
Compared with the prior art, the invention has the beneficial effects that:
1) determining each index weight by combining the data degradation degree variable weight reflecting the state quantity degradation trend and the index importance degree constant weight in a combined weighting mode, and avoiding the problem of low degradation identification sensitivity of part of index data caused by difference of importance degrees;
2) a state index system which mainly monitors the operation state quantity of the switch body and the secondary part on line and assists the non-operation state quantity is constructed, the overall operation state of the first and the second parts of the column switch is more comprehensively reflected, and the on-line monitoring system is suitable for the traditional column switch and a novel first and second fusion column switch;
3) and reference and guidance are provided for the actual routing inspection strategy formulation.
Drawings
FIG. 1 is a flow chart of a two-shot fusion on-column switch state evaluation.
Detailed Description
The following description of the embodiments of the present invention is provided in connection with the accompanying drawings and examples.
Fig. 1 reflects a specific flow of the column switch plant state evaluation method and system. A primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation comprises the following steps:
(1) collecting related operation experience and expert opinions, determining the index importance constant weight by using an analytic hierarchy process, wherein the process only needs to be carried out once because the index importance constant weight is fixed and unchangeable, and then the obtained weight value can be directly used, and the specific process is as follows:
according to the fault type reflected by the pole-mounted switch body, the secondary part running state and non-running state three-part indexes, the influence on the running reliability of equipment and the running experience, and combining with expert experience, respectively constructing three judgment matrixes by using a pairwise comparison method and a nine-level scaling method:
in the formula: a isijIs the importance scale of the ith index relative to the jth index and satisfies aij>0，aii1 and aij＝1/aji。
And then, carrying out consistency check on the judgment matrix:
CI＝(λmax-m)/(m-1)
CR＝CI/RI
in the formula: lambda [ alpha ]maxJudging the maximum eigenvalue of the matrix; rIFor the average random consistency index, only m is involved, e.g. when m is 4, RI0.89; when m is 5, RI＝1.12。
Adjusting the judgment matrix which does not meet the consistency check until the judgment matrix passes the check, and then solving the characteristic vector of the judgment matrix which passes the consistency check and carrying out standardized processing to obtain the fingerConstant weight w of importancei″。
(2) Emptying state quantity data set D at the beginning of each polling period1The system comprises a sampling module, a sampling module and a data processing module, wherein the sampling module is used for sampling state quantity data in a current period;
(3) sampling on-line monitoring data of switch state indexes on a primary and secondary fusion column, wherein the sampling comprises switch body running state index data such as vacuum degree, contact relative wear degree, contact temperature and vibration signal similarity, secondary part running state index data such as storage battery health state, terminal on-line rate, controller temperature, controller humidity and self-checking abnormal frequency, non-running state index data such as air temperature, atmospheric humidity, atmospheric pollution level, accumulated action times and annual average fault times, and adding the obtained data to D1Updating;
(4) based on updated D1Calculating the weight of the current degradation degree of each index data, because D is before each evaluation1Are updated, so that the calculated weight can reflect the change trend of the state quantity and has the weight change property. The weight is based on all state quantity data of the state indexes of the switch to be evaluated in the routing inspection period during evaluation through an entropy weight method, namely D after updating1All data are obtained by calculation, and the specific process is as follows:
each index u is measured and obtained by the pole switch to be evaluatediThe data in the designated time interval is standardized to obtain Nij. Taking the smaller index as an example, the normalization process is performed according to the following formula:
in the formula: max (u)i) Is the ith index uiThe critical point of the worst interval; u. ofijIs to the index uiThe jth sampled data value of (a); min (u)i) Is an index uiIs determined as a critical point of the optimum interval.
Further, an entropy value E reflecting the degree of deterioration of each index data is calculatedi：
In the formula: k is the data amount of a single index;
if H isijWhen 0, then
Calculating the weight w of the data degradation degreei′：
In the formula: m is the index number.
(5) And combining the index importance constant weight and the data degradation degree variable weight to perform combined weighting, and further combining a fuzzy comprehensive evaluation method to evaluate the current states of three parts of the column switch, wherein the method specifically comprises the following steps:
the index u is combined by the following formulaiData degradation degree variable weight wi' and index importance constant weight wi″：
The current attribution states of the pole-mounted switch comprise a normal state, an attention state, an abnormal state and a severe state, and each attribution state corresponds to a score value p.
And (3) obtaining a final fuzzy evaluation B by utilizing a primary fuzzy comprehensive evaluation model M (V, according to the corresponding comprehensive weight matrix W and membership degree matrix R of the three-part state of the switch, namely:
in the formula:
is the fuzzy operator M (, v); max [ alpha ], [ alpha]The representation takes the maximum value element in the matrix.
The final evaluation result is formed by the highest scoring pmaxGiven together with its attributed state (status), e.g., 0.5051-severe, i.e., indicating that the current attributed state is "severe".
(6) According to the state evaluation result, a corresponding inspection strategy is adopted, and the specific steps are shown in the following table:
TABLE 1 routing policy
Note: in the table, I, II and III respectively represent the evaluation results of the operation state and the non-operation state of the on-column switch body and the secondary part.
The following is an actual calculation example of the method, taking partial sampling data before maintenance of a ZW20 type 10kV pole circuit breaker as an example for calculation, and arranging the original index data in time sequence as shown in tables 2 and 3:
TABLE 2 on-line monitoring index data of switch running state on a column
TABLE 3 index data of non-operating state of switch on certain column
According to the data in tables 2 and 3, the data degradation degree variable weight matrixes of the switch body, the secondary part and the non-operation state index at the time t4 and t5 are respectively calculated by adopting an entropy weight method, the index importance degree constant weight matrix is obtained by utilizing an analytic hierarchy process, the data degradation degree variable weight and the index importance degree constant weight are respectively combined to obtain a three-part comprehensive weight matrix, and each weight is shown in table 4. Further, according to the attribute of each index, the distribution of the respective membership function is determined and the membership matrix of each index at the time t4 and t5 is calculated, as shown in table 5.
TABLE 4 weight matrix
TABLE 5 membership matrix
For the above results, the state score matrix of the switch at time t4, t5 is calculated as follows:
TABLE 6 time t4, time t5 scoring matrix
At the time of t4, the on-column switch has the evaluation result of 0.4705-normal state, the secondary part state of 0.9520-normal state and the non-operation index state of 0.6245-abnormal state, and can delay the inspection plan according to the table 1; at the time t5, the evaluation result of the on-column switch body state is 0.3280-serious, the secondary part state is 0.6102-normal, and the non-operation index state is 0.7982-attention. Because the switch body state is 'serious', the pole switch needs to be arranged for on-site line inspection immediately. Compared with the data degradation degree weights at the time t4 and the time t5, the weight of the contact temperature is obviously improved, so the method has obvious effect.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents and are intended to be included in the scope of the present invention.
Claims (6)
1. A primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation is characterized by comprising the following steps:
(1) determining the constant weight of the index importance;
(2) emptying state quantity data set D at the beginning of each polling period1The system comprises a sampling module, a sampling module and a data processing module, wherein the sampling module is used for sampling state quantity data in a current period;
(3) the on-line monitoring data sampling method for the on-line switch state indexes of the primary and secondary fusion column comprises three parts of data, namely operation state indexes such as a switch body, a secondary part and the like and non-operation state indexes, and the data are added into D1Updating;
(4) based on updated D1Calculating the weight of the degradation degree variable value of each index data at present;
(5) combining the index importance constant weight and the data degradation variable weight to carry out combined weighting, and further combining a fuzzy comprehensive evaluation method to evaluate the current states of the three parts of the column switches;
(6) and adopting a corresponding inspection strategy according to the state evaluation result and continuing the current inspection cycle or starting a new inspection cycle.
2. The primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation according to claim 1, wherein the operation state indexes and non-operation state indexes of the switch body state index, the secondary part and the like in the step (3) specifically include:
the operating state indexes of the switch body comprise vacuum degree, relative abrasion degree of a contact, temperature of the contact and similarity of vibration signals;
the secondary part running state indexes comprise the health state of the storage battery, the terminal online rate, the temperature of the controller, the humidity of the controller and the self-checking abnormal frequency;
the non-operation state indexes comprise air temperature, atmospheric humidity, atmospheric pollution level, accumulated action times and annual average fault times.
3. According to claimThe state-evaluation-based primary and secondary fusion pole-mounted switch inspection strategy of claim 1, characterized in that the index data degradation degree variable weight in the step (4) is based on all state quantity data of the switch to be evaluated in the inspection period when each state index is evaluated through an entropy weight method, namely, after updating D1All the data are calculated, and the weight can reflect the deterioration trend of the state quantity.
4. The primary and secondary fusion pole-mounted switch inspection strategy based on state evaluation according to claim 1, wherein the evaluation of the current states of the three parts of the pole-mounted switch in the step (5) specifically comprises:
the current attribution state of the column switch comprises four states of normal, attention, abnormity and severity;
calculating a score value p corresponding to each attribution state;
the evaluation result form is composed of the highest score pmaxGiven together with its attributed status, e.g., 0.5051-Severe, indicating that the current attributed status is "Severe".
5. The primary and secondary fusion column switch inspection strategy based on state evaluation according to claim 1, wherein the corresponding inspection strategy in the step (6) is specifically as follows: if three indexes of the column switch are not abnormal or serious, the original inspection plan can be delayed; if the evaluation result of the running state of the switch body or the secondary part is abnormal and the non-running state is not serious, the field inspection is arranged as soon as possible according to the value of the score; if the evaluation result of the running state of the switch body or the secondary part is worthy of attention, and the non-running state is serious, the field inspection should be arranged as soon as possible according to the value of the score; when the evaluation result of the operation state of the switch body or the secondary part is 'serious', or at least one of the operation states of the switch body and the secondary part is 'abnormal' and the non-operation state is 'serious', personnel should be arranged to overhaul immediately.
6. The primary and secondary fusion column switch inspection strategy based on state evaluation according to claim 1, wherein the determination method of the index importance constant weight in the step (1) is as follows: and (3) determining the index importance constant weight by using an analytic hierarchy process, wherein the index importance constant weight is fixed and unchangeable, so the step (1) only needs to be carried out once, and the obtained weight value can be directly used subsequently.
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