CN106991513B - Distribution network terminal operation evaluation method based on data of acquired section - Google Patents
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Abstract
The invention belongs to the field of distribution automation, and particularly relates to a distribution network terminal operation evaluation method based on data of a sampling section, which evaluates the operation condition of a distribution network terminal through comprehensive analysis of distribution network historical data and data of the sampling section, identifies abnormally operated terminals and uploaded suspicious data, and specifically comprises the following steps: (1) calculating the online rate of the distribution network terminal; (2) calculating the distribution network remote control success rate; (3) calculating the remote control utilization rate of the distribution network; (4) and calculating the distribution network remote signaling accuracy. The distribution network terminal operation evaluation method based on the data of the acquired section enables the distribution network terminal evaluation index to have more practical value.
Description
Technical Field
The invention belongs to the field of distribution automation, and particularly relates to a distribution network terminal operation evaluation method based on section data.
Background
By 2 months in 2015, the national grid company has completed 86 (27%) land-level control mechanisms and 213 (15.90%) county-level control mechanisms for the construction of the distribution automation master station system. The power distribution automation achieves the long-term progress, and the automation level of a test point area is greatly improved. However, since the historical debt problem of the company power distribution network is prominent for a long time, the whole power distribution automation construction is in a lagging state, and the rapid development requirement of the current social economy is difficult to adapt. There are mainly the following problems: the system coverage rate of the main station of the power distribution system is low. The coverage rate of the automatic power distribution main station is low, and the improvement of the regulation and control level of the distribution network is severely restricted; the power distribution automation terminal coverage rate is low. The distribution automation terminal is installed a little, and can only provide a little operation information of distribution equipment, and the blind tuning problem is prominent; the operation condition of the distribution automation terminal is unstable. The power distribution terminal is unstable in operation and low in on-line rate, remote control success rate, remote control utilization rate and remote signaling accuracy, and the information accuracy of the automatic master station is seriously influenced under the influence of factors such as operation environment, communication channel and operation and maintenance strength; the automation level of basic application functions needs to be improved, and due to the limitation of conditions in aspects such as funds, communication modes, technical levels, system operation and maintenance, the communication quality of a power distribution network is relatively low, the accuracy and the effectiveness of real-time data cannot be completely guaranteed, the situations of signal false alarm, missing report and late report exist, the fault tolerance requirements on application functions such as feeder automation and the like are high, and the automatic execution function is limited; the practical level of the advanced application of the distribution automation main station system is required to be improved, the advanced application function is difficult to be verified and the function is improved in practical application due to the reasons of model quality, data lack and the like, and the operation support of the distribution network is insufficient.
The existing distribution network terminal operation evaluation method is generally based on distribution network historical data, but due to the fact that the distribution network terminal is influenced by factors such as operation environment, communication channels, operation and maintenance strength and the like, the distribution network terminal is unstable in operation, so that the conditions of misinformation, missing report and late report of the signals are caused, and finally the operation evaluation analysis of the distribution network terminal is influenced. Thus, certain errors exist in the operation evaluation analysis of the terminal. The evaluated terminal situation is inconsistent with the fact.
Disclosure of Invention
Based on the above consideration, the invention provides a distribution network terminal operation evaluation method based on the data of the adopted section, which evaluates the operation condition of the distribution network terminal through the comprehensive analysis of the historical data of the distribution network and the data of the adopted section, identifies the terminal with abnormal operation and the uploaded suspicious data, and provides a detection and evaluation basis for improving the real-time monitoring level of the distribution automation.
The technical scheme of the invention is as follows: the scheme provides a distribution network terminal operation evaluation method based on data of a sampling section, which evaluates the operation condition of a distribution network terminal through comprehensive analysis of distribution network historical data and data of the sampling section, identifies abnormally operated terminals and uploaded suspicious data, and specifically comprises the following steps: (1) calculating the online rate of the distribution network terminal, (2) calculating the distribution network remote control success rate; (3) calculating the remote control utilization rate of the distribution network; (4) and calculating the distribution network remote signaling accuracy.
Further, the online rate of the distribution network terminal is calculated as follows:
the terminal operation, disconnection and time mark information are recorded in the historical data, the terminal on-line time and the terminal off-line time can be calculated according to the historical information, and the distribution network terminal on-line rate is assessed and evaluated through the information;
judging the state information of the distribution network terminal based on the distribution network terminal online rate of the data of the adopted section; when the terminal is operated, whether the terminal is operated can be judged by using the data of the acquisition section and the historical data of the distribution network; when the terminal is disconnected, whether the terminal is disconnected or not can be judged by using the data of the acquisition section and the historical data of the distribution network; through the data analysis, the statistical evaluation of the online rate of the distribution network terminal is closer to the real situation.
Further, the distribution network remote control success rate is calculated as follows:
specific information for remotely controlling the three-remote switch equipment is recorded in the historical data, and the specific information comprises remote control presetting, remote control issuing and remote control result returning information; the remote control success times and the total remote control times of the three-remote switch can be calculated according to the historical information, and the evaluation and analysis of the distribution network remote control success rate are examined through the information;
the switch state of the distribution network is judged based on the distribution network remote control success rate of the adopted section data, and when the three remote switches are remotely controlled, the switch state is judged through remote signaling identification based on the adopted section data and distribution network historical data; if the remote control result is false report, missing report or late report, judging the switch state according to the judgment basis to determine whether the remote control is successful; therefore, the examination index of the distribution network remote control success rate is more real and reliable.
Further, the calculation of the distribution network remote control utilization rate is as follows:
besides the above-mentioned remote control related information, the historical data also records the "opening" and "closing" information of switch deflection; calculating the displacement times of the three-remote switch according to the historical information, and synthesizing the remote control information to obtain a method for evaluating the remote control utilization rate;
judging the on-off state of the distribution network based on the distribution network remote control utilization rate of the data of the acquired section; when the three-remote switch is displaced, the on-off state can be judged through remote signaling identification based on the data of the acquired section and historical data of the distribution network; abnormal data are checked, and the abnormal data generated by unstable operation of the terminal are prevented from influencing index evaluation of the distribution network remote control utilization rate; the examination index of the remote control utilization rate of the distribution network is more real and has practical value.
Further, the distribution network remote signaling accuracy is calculated as follows:
the historical data records the switching-off information, the switching-on information and the remote signaling SOE information of the switch deflection; according to the historical information, the matching times of the telecommand deflection and the telecommand SOE and the times of the telecommand deflection can be calculated; thereby obtaining a method for evaluating the remote signaling accuracy;
judging the switching state of the distribution network based on the distribution network remote signaling accuracy of the data of the acquired section; when the switch is displaced, the switch state can be judged through remote signaling identification based on the acquired section data and distribution network historical data; the method comprises the steps of checking a field of data, and preventing abnormal data generated by unstable operation of a terminal from influencing index evaluation of distribution network remote signaling accuracy; the authenticity of the distribution network remote signaling accuracy is improved, so that the distribution network remote signaling accuracy assessment index has higher reference value and practical value.
According to the distribution network terminal operation evaluation method based on the data of the acquired cross section, the online rate of the distribution network terminal, the distribution network remote control success rate, the distribution network remote control utilization rate and the distribution network remote signaling accuracy rate are analyzed, the data information of signal misinformation, missing report and late report of unstable operation of the distribution network terminal is made up, the statistical evaluation of the online rate of the distribution network terminal is closer to the real condition, and the distribution network terminal evaluation indexes are made to have practical values. Therefore, the practicability of the online rate assessment index of the distribution network terminal is improved.
Detailed Description
Technical terms in the present invention are described as follows:
the online rate of the distribution network terminal is as follows: one of the examination and evaluation indexes of the power distribution automation system is the ratio of the online time of the currently used terminal equipment to the online time of all the used terminals.
Distribution network remote control success rate: one of the evaluation indexes of the power distribution automation system is the ratio of the remote control success times of the currently used three-remote switch equipment to the total remote control times.
Distribution network remote control utilization rate: one of the evaluation indexes of the checking of the power distribution automation system is the ratio of the number of times of success of remote control of the three-remote switch equipment to the number of times of displacement of the three-remote switch.
Distribution network remote signaling accuracy: one of the examination and evaluation indexes of the power distribution automation system is the ratio of the number of times of using a switch to shift and matching remote signaling SOE to the total number of shifting times.
Remote signaling: the passive contact mode is required, that is, the input of a certain path of remote communication quantity is the contact of a pair of relays, and is closed or opened. And the closing or opening of the relay contact is converted into a low-level or high-level signal through a remote signaling terminal board and the low-level or high-level signal is sent to the YX module of the RTU.
SOE: the event sequence recording is carried out, when the power equipment is subjected to remote signaling deflection such as switch deflection, the power protection equipment or the intelligent power instrument can automatically record deflection time, deflection reasons and corresponding telemetering measurement values (such as corresponding three-phase current, active power and the like) when the switch is tripped, and SOE records are formed so as to facilitate post analysis.
Remote signaling identification: the switch/knife switch remote signaling value is divided into: and (3) closing and separating (namely the state of the switch/disconnecting link), judging whether the state of the switch is correct or not according to whether the upstream and downstream equipment of the switch/disconnecting link is electrified or not and the telemetering value of the equipment, and carrying out incorrect correction and suspicious storage.
The technical solution of the present invention is explained in detail below.
The scheme provides a distribution network terminal operation evaluation method based on data of a sampling section, which evaluates the operation condition of a distribution network terminal through comprehensive analysis of distribution network historical data and data of the sampling section, identifies abnormally operated terminals and uploaded suspicious data, and specifically comprises the following steps: (1) calculating the online rate of the distribution network terminal, (2) calculating the distribution network remote control success rate; (3) calculating the remote control utilization rate of the distribution network; (4) and calculating the distribution network remote signaling accuracy.
Calculating the online rate of the distribution network terminal:
and the online rate of the distribution network terminal is obtained by analyzing and calculating according to the historical data of the distribution network. The historical data records information of terminal operation, terminal disconnection, time scale and the like, the online time and the offline time of the terminal can be calculated according to the historical information, and the online rate of the distribution network terminal is assessed and evaluated through the information. The online rate of the distribution network terminal is assessed and evaluated through historical data, false report, missing report and late report of the historical data exist, and therefore the evaluation result of the index data is influenced.
Based on the online rate of the distribution network terminal adopting the section data, the data information of signal false report, missing report and late report of unstable operation of the distribution network terminal is compensated. Judging the state information of the distribution network terminal; when the terminal is operated, whether the terminal is operated can be judged by using the data of the acquisition section and the historical data of the distribution network; when the terminal is disconnected, whether the terminal is disconnected can be judged by using the data of the acquisition section and the historical data of the distribution network. Through the data analysis, the statistical evaluation of the online rate of the distribution network terminal is closer to the real situation. The practicability of the online rate assessment index of the distribution network terminal is improved.
Calculating the distribution network remote control success rate:
and the distribution network remote control success rate is obtained by analyzing and calculating according to distribution network historical data. Specific information for remotely controlling the three-remote switch equipment is recorded in the historical data, and the specific information comprises information such as remote control presetting, remote control issuing, remote control result returning and the like. According to the historical information, the remote control success times and the total remote control times of the three-remote switch can be calculated, and the evaluation and analysis of the distribution network remote control success rate can be examined through the information. The success rate of remote control of the distribution network is checked through historical data, and false report, missing report and late report of the historical data exist, so that index evaluation and analysis of the distribution network are influenced. The practicability of the examination result is greatly reduced.
Based on the distribution network remote control success rate of the data acquisition section, the data information of signal false report, missing report and late report of unstable operation of the distribution network terminal is compensated. The on-off state of the distribution network is judged, and when the three-remote switch is remotely controlled, the on-off state can be judged through remote signaling identification based on the acquired section data and distribution network historical data. If the remote control result is false report, missing report or late report, the switch state can be judged according to the judgment to determine whether the remote control is successful. Therefore, the examination index of the distribution network remote control success rate is more real and reliable.
And calculating the distribution network remote control utilization rate:
and the remote control utilization rate of the distribution network is obtained by analyzing and calculating according to the historical data of the distribution network. In addition to the above-mentioned remote control related information, the history data also records the "opening" and "closing" information of the switch displacement. According to the historical information, the displacement times of the three-remote switch can be calculated, and the remote control information is integrated, so that the method for evaluating the remote control utilization rate is obtained. However, the remote control utilization rate of the distribution network is assessed through historical data, and false report, missing report and late report of the historical data exist, so that index evaluation and analysis of the distribution network are influenced. Influences the authenticity and the practicability of the examination result.
Based on the distribution network remote control utilization rate of the data of the section, the data information of the unstable operation of the distribution network terminal, such as misinformation, missing report and late report, is compensated. And judging the switch state of the distribution network. When the three-remote switch is displaced, the on-off state can be judged through remote signaling identification based on the data of the acquired section and distribution network historical data. Abnormal data are checked, and the abnormal data generated by unstable operation of the terminal are prevented from influencing index evaluation of the distribution network remote control utilization rate. The examination index of the remote control utilization rate of the distribution network is more real and has practical value.
Calculating the distribution network remote signaling accuracy:
and analyzing and calculating the distribution network remote signaling accuracy according to the distribution network historical data to obtain the distribution network remote signaling accuracy. The historical data records the switching-off information, the switching-on information and the remote signaling SOE information of the switch displacement. From these history information, the number of times the telecommand displacement matches the telecommand SOE, and the number of times of telecommand displacement can be calculated. Thereby obtaining a method for evaluating the remote signaling accuracy. However, the distribution network remote signaling accuracy is checked through historical data, and the evaluation indexes of the distribution network remote signaling accuracy are influenced due to the fact that historical data is mistakenly reported, is not reported and is reported later.
Based on the distribution network remote signaling accuracy rate of the data of the acquired section, the data information of the unstable operation of the distribution network terminal, such as misinformation, missing report and late report, is compensated. And judging the switch state of the distribution network. When the switch is displaced, the switch state can be judged by remote signaling identification based on the acquired section data and distribution network historical data. And one field of data is checked, so that abnormal data generated by unstable operation of the terminal is prevented from influencing index evaluation of distribution network remote signaling accuracy. The authenticity of the distribution network remote signaling accuracy is improved, so that the distribution network remote signaling accuracy assessment index has higher reference value and practical value.
According to the distribution network terminal operation evaluation method based on the data of the acquired cross section, the online rate of the distribution network terminal, the distribution network remote control success rate, the distribution network remote control utilization rate and the distribution network remote signaling accuracy rate are analyzed, the data information of signal misinformation, missing report and late report of unstable operation of the distribution network terminal is made up, the statistical evaluation of the online rate of the distribution network terminal is closer to the real condition, and the distribution network terminal evaluation indexes are made to have practical values. Therefore, the practicability of the online rate assessment index of the distribution network terminal is improved.
The key points and points to be protected of the technology of the invention are as follows: 1. the online rate of the distribution network terminal based on the data of the acquired section; 2. the distribution network remote control success rate based on the data of the adopted section; 3. the distribution network remote control utilization rate based on the data of the acquired section; 4. distribution network remote signaling accuracy based on data of the acquired section.
Claims (1)
1. The utility model provides a distribution network terminal operation evaluation method based on adopt section data, which characterized in that, the method is through the comprehensive analysis to distribution network historical data and adopt section data, evaluates the running condition of distribution network terminal, discerns the terminal of abnormal operation and the suspicious data of uploading, specifically includes: (1) calculating the online rate of the distribution network terminal, (2) calculating the distribution network remote control success rate; (3) calculating the remote control utilization rate of the distribution network; (4) calculating the distribution network remote signaling accuracy;
calculating the online rate of the distribution network terminal:
the terminal operation, disconnection and time mark information are recorded in the historical data, the terminal on-line time and the terminal off-line time are calculated according to the historical data, and the distribution network terminal on-line rate is assessed and evaluated through the information;
judging the state information of the distribution network terminal based on the distribution network terminal online rate of the data of the adopted section; when the terminal is operated, judging whether the terminal is operated or not by using the acquired section data and the distribution network historical data; when the terminal is disconnected, judging whether the terminal is disconnected or not by using the acquired section data and the distribution network historical data; judging the state information of the distribution network terminal through the above steps;
calculating the distribution network remote control success rate:
specific information for remotely controlling the three-remote switch equipment is recorded in the historical data, and the specific information comprises remote control presetting, remote control issuing and remote control result returning information; the remote control success times and the remote control total times of the three-remote switch are calculated according to specific information recorded in historical data for remotely controlling the three-remote switch equipment, and evaluation and analysis of the distribution network remote control success rate are examined through the remote control success times and the remote control total times of the three-remote switch;
the switch state of the distribution network is judged based on the distribution network remote control success rate of the adopted section data, and when the three remote switches are remotely controlled, the switch state is judged through remote signaling identification based on the adopted section data and distribution network historical data; if the remote control result is false report, missing report or late report, judging the switch state according to the judgment basis to determine whether the remote control is successful; and calculating the distribution network remote control utilization rate:
the historical data records the specific information of the remote control of the three-remote switch equipment, and also records the information of 'opening' and 'closing' of switch deflection; calculating the displacement times of the three-remote switch according to the 'opening' and 'closing' information of the displacement of the switch, and integrating the specific information of remote control and the displacement times of the switch so as to obtain the remote control utilization rate;
judging the on-off state of the distribution network based on the distribution network remote control utilization rate of the data of the acquired section; when the three-remote switch is displaced, the on-off state can be judged through remote signaling identification based on the data of the acquired section and historical data of the distribution network; abnormal data are checked, and the abnormal data generated by unstable operation of the terminal are prevented from influencing index evaluation of the distribution network remote control utilization rate;
calculating the distribution network remote signaling accuracy:
the historical data records the switching-off information, the switching-on information and the remote signaling SOE information of the switch deflection; calculating the matching times of the remote signaling deflection and the remote signaling SOE and the times of the remote signaling deflection according to the switching-off information, the switching-on information and the remote signaling SOE information of the switch deflection; thereby obtaining the remote signaling accuracy;
judging the switching state of the distribution network based on the distribution network remote signaling accuracy of the data of the acquired section; when the switch is displaced, the switch state can be judged through remote signaling identification based on the acquired section data and distribution network historical data; abnormal data are checked, and the abnormal data generated by unstable operation of the terminal are prevented from influencing index evaluation of distribution network remote signaling accuracy; the authenticity of the remote signaling accuracy of the distribution network is improved.
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| CN108964272A (en) * | 2018-07-12 | 2018-12-07 | 国网北京市电力公司 | Power distribution automation application index on-line monitoring method |
| CN109284837A (en) * | 2018-09-25 | 2019-01-29 | 中国电力科学研究院有限公司 | A kind of distribution power automation terminal O&M evaluation method and system |
| CN109191029B (en) * | 2018-11-13 | 2021-08-24 | 国电南瑞科技股份有限公司 | Defect closed-loop management method and device across safety zones |
| CN109599947A (en) * | 2018-12-06 | 2019-04-09 | 国网北京市电力公司 | Power distribution automation application index on-line monitoring method |
| CN110970995B (en) * | 2019-03-26 | 2021-09-07 | 国网重庆市电力公司 | Transmission type management and control system for key indexes of safe operation of power grid |
| CN110247477B (en) * | 2019-06-19 | 2021-03-12 | 广东电网有限责任公司 | Method and device for monitoring online condition of equipment |
| CN111478439A (en) * | 2020-04-16 | 2020-07-31 | 广东电网有限责任公司 | Remote control success rate analysis method for regional distribution network automatic switch |
| CN111709612B (en) * | 2020-05-26 | 2023-07-18 | 国网四川省电力公司 | Power distribution network state estimation method considering mining history data |
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| KR101285065B1 (en) * | 2011-08-26 | 2013-07-10 | 한국전력공사 | System and method for managing a distribution system |
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