CN111738546A - Power equipment state evaluation system - Google Patents
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Abstract
The invention provides a power equipment state evaluation system which comprises a reliability AHP evaluation system, a power supply continuity analysis system, a distribution transformer fault risk analysis system, a severe environment resistance analysis system and a longitudinal comparison analysis system, wherein the power supply continuity analysis system carries out statistical analysis on power failure duration and power failure times transmitted in working time, the distribution transformer fault risk analysis system carries out statistical analysis on voltage deviation and heavy overload data in the working time, the severe environment resistance analysis system carries out statistical analysis on high-temperature and strong precipitation data in the working time, and the longitudinal comparison analysis system carries out statistical analysis on power failure events and running state data in the working time. The invention solves the problems of excessive and insufficient manual inspection and poor risk resistance in the prior art.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power equipment state evaluation system.
Background
The power distribution network is arranged at the tail end of the power system and has the distinct characteristics of wide geographical distribution, large power grid scale, multiple equipment types, multiple network connections, variable operation modes and the like. With the increase of urbanization construction and power consumption demand, the power distribution network is continuously transformed and expanded, the scale of the power distribution network is continuously expanded, the scale of most power distribution networks above county level in a national network company system reaches more than one hundred feeders, and the scale of medium-voltage feeders of some medium-sized and large-sized cities reaches or exceeds one thousand feeders. Meanwhile, with the popularization and application of application systems such as power distribution automation and power utilization information acquisition, for a large-scale power distribution network with thousands of feeders, exponentially-increased massive heterogeneous and polymorphic data can be generated in the power distribution network, and the size of a data set can reach a big data level concerned by the current information society.
Disclosure of Invention
The invention provides a power equipment state evaluation system, which aims to solve the problems of excessive and insufficient manual inspection and poor risk resistance in the prior art.
In order to solve the technical problems, the invention provides a power equipment state evaluation system which comprises a reliability AHP evaluation system, a power supply continuity analysis system, a distribution transformer fault risk analysis system, a severe environment resistance analysis system and a longitudinal comparison analysis system, wherein the power supply continuity analysis system carries out statistical analysis on power failure duration and power failure times transmitted in working time, the distribution transformer fault risk analysis system carries out statistical analysis on voltage deviation and heavy overload data in the working time, the severe environment resistance analysis system carries out statistical analysis on high-temperature and strong rainfall data in the working time, the longitudinal comparison analysis system carries out statistical analysis on power failure events and running state data in the working time, and the reliability AHP evaluation system carries out statistical analysis on the power supply continuity analysis system, the distribution transformer fault risk analysis system, the severe environment resistance analysis system, And carrying out statistical analysis on the data of the longitudinal comparative analysis system.
The power failure duration comprises average continuous power failure duration and average short-time power failure duration, and the power failure times comprise continuous power failure times and short-time power failure times.
The voltage deviation comprises voltage low deviation times, voltage light deviation times and voltage high deviation times, and the heavy overload data comprises overload times, heavy load times, heavy overload times and capacity-load ratio.
The high-temperature data comprise high-temperature power failure times and long high-temperature power failure times, and the heavy precipitation data comprise long heavy precipitation power failure times and long heavy precipitation power failure times.
The power failure event comprises average power failure time difference, power failure time difference and total power failure time difference, and the running state comprises voltage deviation time difference and overload time difference.
The invention has the following beneficial effects: compared with the prior art, the power equipment state evaluation system provided by the invention has the advantages that a comprehensive evaluation model is established for the distribution network transformer by an analytic hierarchy process through the power supply continuity analysis system, the distribution transformer fault risk analysis system, the severe environment resistance analysis system and the longitudinal comparison analysis system, the power supply continuity, the power failure risk, the environment resistance and the self stability are comprehensively considered, and the reliability of the distribution network is comprehensively and quantitatively analyzed. Therefore, specific counter measures can be provided for different types and different reliability of distribution transformers to realize active rush repair, so that the stability and the safety of the power distribution network are improved, and the inspection labor cost is reduced. The system can timely send out early warning aiming at the problems, actively prevent and control, greatly shorten the power failure time, reduce the loss caused by power failure, improve the power supply reliability, improve the utilization rate of emergency repair resources, reduce the comprehensive cost of emergency repair and realize economic benefits.
Drawings
FIG. 1 is a block diagram of a power device status evaluation system according to an embodiment of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the power equipment state evaluation system provided by the present invention includes a reliability AHP evaluation system, a power supply continuity analysis system, a distribution transformer fault risk analysis system, a severe environment resistance analysis system, and a longitudinal comparison analysis system, where the power supply continuity analysis system performs statistical analysis on power outage duration and power outage frequency transmitted within a working time, the distribution transformer fault risk analysis system performs statistical analysis on voltage deviation and heavy overload data within the working time, the severe environment resistance analysis system performs statistical analysis on high temperature and strong precipitation data within the working time, the longitudinal comparison analysis system performs statistical analysis on power outage event and operating state data within the working time, and the reliability AHP evaluation system performs statistical analysis on the power supply continuity analysis system, the distribution transformer fault risk analysis system, the severe environment resistance analysis system, And carrying out statistical analysis on the data of the longitudinal comparative analysis system.
Further, the power failure duration comprises average continuous power failure duration and average short-time power failure duration, and the power failure times comprise continuous power failure times and short-time power failure times.
Further, the voltage deviation comprises a voltage low deviation number, a voltage light deviation number and a voltage high deviation number, and the heavy overload data comprises an overload number, a heavy load number, a heavy overload number and a capacity-to-load ratio.
Further, the high-temperature data comprise high-temperature power failure times and high-temperature power failure time, and the heavy precipitation data comprise heavy precipitation power failure time and heavy precipitation power failure times.
Further, the power failure events comprise average power failure time difference, power failure times difference and total power failure time difference, and the running states comprise voltage deviation times difference and heavy overload times difference.
The reliability of the distribution transformer is influenced by various complex factors such as external climate, environment, users and the like besides the power failure state, and has obvious big data characteristics. Based on the electric power big data concept, the internal data and the external environment data of the power grid are fused, distribution transformer reliability influence factor analysis and mining are carried out, and the problem caused by passive maintenance can be avoided being not found and solved in time.
Distribution transformer reliability is affected by a number of factors. The system comprises failure information such as power failure duration and times, natural factors such as temperature and environment, internal factors such as self load, voltage deviation and service life. And 4 major categories related to reliability are extracted by combining the various factors, wherein the major categories comprise a power supply continuity index, a distribution transformer fault risk index, a severe environment resistance index and a longitudinal comparison index. From these 4 large categories, important variables that affect the reliability of the distribution transformation are extracted. And establishing an AHP comprehensive evaluation model, evaluating and scoring each distribution transformer, and outputting a result.
The analytic hierarchy process divides the problem into different components according to the essence of the specific problem and the goal of the decision requirement, and combines all the factors together according to different hierarchies according to the mutual influence and membership among all the components to form a multi-layer analytic structure model, thereby arranging the relative important weight or relative good and bad sequence of the lowest layer and the highest layer for the reference of the decision maker. The method comprises the following basic steps:
firstly, establishing a hierarchical structure model;
dividing each element in the problem into different hierarchical structures, and explaining the dependency relationship among the hierarchies by using a frame structure;
thirdly, constructing a judgment matrix, and expressing the relative importance degree between the elements in a certain layer and the elements higher than the elements in the layer by an expert through grading;
and fourthly, checking the result of the layer analysis, if an error exists, adjusting the value of the element of the judgment matrix, and carrying out operation again.
In summary, the power equipment state evaluation system of the invention establishes a comprehensive evaluation model for the distribution network transformer by an analytic hierarchy process through a power supply continuity analysis system, a distribution transformer fault risk analysis system, a severe environment resistance analysis system and a longitudinal comparison analysis system, comprehensively considers the power supply continuity, the power failure risk, the environment resistance and the self stability, and comprehensively and quantitatively analyzes the reliability of the distribution network. Therefore, specific counter measures can be provided for different types and different reliability of distribution transformers to realize active rush repair, so that the stability and the safety of the power distribution network are improved, and the inspection labor cost is reduced. The system can timely send out early warning aiming at the problems, actively prevent and control, greatly shorten the power failure time, reduce the loss caused by power failure, improve the power supply reliability, improve the utilization rate of emergency repair resources, reduce the comprehensive cost of emergency repair and realize economic benefits.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (5)
1. A power equipment state evaluation system is characterized in that: the power distribution transformer fault risk analysis system comprises a reliability AHP evaluation system, a power supply continuity analysis system, a distribution transformer fault risk analysis system, a severe environment resistance analysis system and a longitudinal comparison analysis system, wherein the power supply continuity analysis system carries out statistical analysis on power failure duration and power failure times transmitted in working time, the distribution transformer fault risk analysis system carries out statistical analysis on voltage deviation and heavy overload data in the working time, the severe environment resistance analysis system carries out statistical analysis on high-temperature and strong precipitation data in the working time, the longitudinal comparison analysis system carries out statistical analysis on power failure events and running state data in the working time, and the reliability AHP evaluation system carries out statistical analysis on data of the power supply continuity analysis system, the distribution transformer fault risk analysis system, the severe environment resistance analysis system and the longitudinal comparison analysis system.
2. The power equipment condition evaluation system of claim 1 wherein the blackout duration comprises an average sustained blackout duration, an average short blackout duration, and the blackout times comprise sustained blackout times, short blackout times.
3. The power equipment condition evaluation system according to claim 1, wherein the voltage deviation includes a voltage low deviation number, a voltage light deviation number, a voltage high deviation number, and the heavy overload data includes an overload number, a heavy overload number, a capacity-to-load ratio.
4. The power equipment condition evaluation system of claim 1 wherein the high temperature data includes a number of high temperature power outages, a length of high temperature power outages, and the heavy precipitation data includes a length of heavy precipitation power outages, a number of heavy precipitation power outages.
5. The power equipment condition evaluation system according to claim 1, wherein the blackout event includes an average blackout duration difference, a blackout number difference, a total blackout duration difference, and the operation condition includes a voltage deviation number difference, a heavy overload number difference.
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| CN202010424931.XA CN111738546A (en) | 2020-05-19 | 2020-05-19 | Power equipment state evaluation system |
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| CN202010424931.XA CN111738546A (en) | 2020-05-19 | 2020-05-19 | Power equipment state evaluation system |
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- 2020-05-19 CN CN202010424931.XA patent/CN111738546A/en active Pending
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