CN109557394A - A kind of power quality monitoring system for intelligent power grid - Google Patents
A kind of power quality monitoring system for intelligent power grid Download PDFInfo
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- CN109557394A CN109557394A CN201811441065.4A CN201811441065A CN109557394A CN 109557394 A CN109557394 A CN 109557394A CN 201811441065 A CN201811441065 A CN 201811441065A CN 109557394 A CN109557394 A CN 109557394A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
It the invention discloses a kind of power quality monitoring system for intelligent power grid, is connected in a manner of ad hoc network with power quality analysis terminal between each sensor node connecting Zigebee module, forms an effective internal network；Collected data are wirelessly transmitted to power quality analysis terminal through internal network by sensor node, power quality analysis terminal receives storage data and completes the calculating analysis of these data, the result of analysis will be calculated after human-computer interaction module is shown, it is sent to remote monitoring terminal, while corresponding control command to each feedback is exported based on the result for calculating analysis and executes terminal；Remote monitoring terminal issues Calculation results in such a way that interior letter of standing is sent and is reminded；Sensor controlling terminal carries out the calculating of each sensor node rate, completes the adjustment for carrying out each sensor node source rate while working sensor status assessment according to preset algorithm.The present invention realizes effective monitoring of the whole network power quality.
Description
Technical field
The present invention relates to electric power monitoring fields, and in particular to a kind of power quality monitoring system for intelligent power grid.
Background technique
With the fast development of smart grid, many new technologies are played an important role in the construction of smart grid, such as
Intelligent two-way interaction service technology, energy storage technology, the efficient access technology of distributed new, electric car universal and with
The interaction technique of power grid, the extensive use of these technologies, so that smart grid electrification structure and power structure are with diversified, more
Firstization feature, while but also power quality problem becomes increasingly conspicuous, also it is faced with new challenges.In current smart grid construction background
Under, how to layout and reasonable disposition realizes effective prison to the whole network power quality situation to the optimal of electric energy quality monitoring resource
It surveys and analysis is problem in the urgent need to address at present.
Summary of the invention
The object of the present invention is to provide a kind of power quality monitoring system for intelligent power grid, realize the whole network power quality
Effective monitoring.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of power quality monitoring system for intelligent power grid, including remote monitoring terminal, power quality analysis terminal, sensor
Node, sensor controlling terminal and feedback execute terminal, pass through connection Zigebee module between each sensor node with certainly
The mode of networking is connected with power quality analysis terminal, forms an effective internal network；Sensor node will acquire
To data be wirelessly transmitted to power quality analysis terminal through internal network, power quality analysis terminal receives storage
Data and the calculating analysis for completing these data will calculate the result analyzed after human-computer interaction module is shown, be sent to long-range
Terminal is monitored, while corresponding control command to each feedback is exported based on the result for calculating analysis and executes terminal；The long-range prison
It surveys terminal and issues the Calculation results in such a way that interior letter of standing is sent and is reminded；The sensor controlling terminal is for carrying out
The calculating of each sensor node rate carries out each biography according to preset algorithm while completing working sensor status assessment
The adjustment of sensor node source rate；It is also used to complete the adjustment of each sensor node position.
Further, the sensor node includes at least current sensor node and voltage sensor node.
Further, a data fusion module is equipped in the power quality analysis terminal, for carrying out pixel-based fusion
With feature-based fusion, pixel-based fusion carries out at the cluster head of power quality analysis terminal, is carried out using fuzzy nearness algorithm
Fusion, feature level are merged using BP neural network algorithm.
Further, it is equipped in the power quality analysis terminal:
Data storage module for the collected data of receiving sensor node institute and is stored in corresponding database；
Data forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, according to completion
Fused feature level data generate short-term powerquality forecast information, execute terminal scheduling decision-making module for feedback and use；
Power quality analysis module is based on fused data level using the support vector machine method of grid type searching method
Data carry out the assessment of power quality situation, and send feedback for assessment result and execute terminal scheduling decision-making module
Feedback executes terminal scheduling decision-making module, for according to the collected data of sensor node institute, data prediction point
The analysis of analysis module and power quality analysis module is conducive to electricity as a result, being calculated using more grouping differential evolution algorithm optimizations
The Managed Solution of energy quality.
Further, the sensor controlling terminal embodies the collaboration work between each sensor node by forwarding energy
Make, constitute a cooperation learning by a node and along all nodes of its routed path, carry out joint modeling on this basis,
The adjustment of each sensor node position is completed according to modeling result.
Further, the remote monitoring terminal includes cell phone application and host computer server, the cell phone application with it is upper
Machine server is attached, and realizes long-range monitoring.
Further, believe in the station and received through cell phone application, while often receiving letter in a station, cell phone application can be with certainly
The mode of dialog box of moving out of collaboration mobile phone vibration is reminded.
Further, the feedback executes terminal and includes at least voltage modulated module, current-modulation module, voltage compensation mould
Block and current compensation module.
The invention has the following advantages:
1, user can be achieved and checks that facilitating makes by the browsing that different intelligent terminal carries out current power grid power levels
With.
2, based on the acquisition of power quality data, analyzed by the processing of master controller, realize power quality prediction,
Analysis and auto-control.
3, realize the monitoring of sensor node working condition, user can have found malfunctioning node in time, thus avoid by
The system monitoring data error brought by sensor fault node.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of power quality monitoring system for intelligent power grid of the embodiment of the present invention.
Specific embodiment
In order to which objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
It is described in detail.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, the embodiment of the invention provides a kind of power quality monitoring system for intelligent power grid, including remotely monitor
Terminal, power quality analysis terminal, sensor node (including at least current sensor node and voltage sensor node), sensing
Device controlling terminal and feedback execute terminal, pass through connection Zigebee module between each sensor node with the side of ad hoc network
Formula is connected with power quality analysis terminal, forms an effective internal network；Sensor node is by collected data
Power quality analysis terminal is wirelessly transmitted to through internal network, power quality analysis terminal reception storage data are simultaneously complete
It is analyzed at the calculating of these data, by the result for calculating analysis after human-computer interaction module is shown, is sent to remote monitoring terminal,
Corresponding control command to each feedback is exported based on the result for calculating analysis simultaneously and executes terminal；The remote monitoring terminal is to stand
Interior letter is sent and the mode reminded issues the Calculation results；Letter is received through cell phone application in the station, while often receiving one
Believe in item station, cell phone application can cooperate with the mode of mobile phone vibration to be reminded with automatic spring dialog box.The sensor control
Terminal is used to carry out the calculating of each sensor node rate, according to preset calculation while completing working sensor status assessment
Method carries out the adjustment of each sensor node source rate；The sensor controlling terminal embodies each sensor by forwarding energy
Collaborative work between node constitutes a cooperation learning by a node and along all nodes of its routed path, in this base
Joint modeling is carried out on plinth, and the adjustment of each sensor node position is completed according to modeling result.The feedback executes terminal at least
Including voltage modulated module, current-modulation module, voltage compensation module and current compensation module.
It is equipped in the power quality analysis terminal
Data storage module for the collected data of receiving sensor node institute and is stored in corresponding database；
Data fusion module, for carrying out pixel-based fusion and feature-based fusion, pixel-based fusion is in power quality analysis
It carries out, is merged using fuzzy nearness algorithm, feature level is merged using BP neural network algorithm at the cluster head of terminal；
Data forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, according to completion
Fused feature level data generate short-term powerquality forecast information, execute terminal scheduling decision-making module for feedback and use；
Power quality analysis module is based on fused data level using the support vector machine method of grid type searching method
Data carry out the assessment of power quality situation, and send feedback for assessment result and execute terminal scheduling decision-making module
Feedback executes terminal scheduling decision-making module, for according to the collected data of sensor node institute, data prediction point
The analysis of analysis module and power quality analysis module is conducive to electricity as a result, being calculated using more grouping differential evolution algorithm optimizations
The Managed Solution of energy quality.
The remote monitoring terminal includes cell phone application and host computer server, the cell phone application and host computer server into
Long-range monitoring is realized in row connection.User's login interface, data variation interface, historical data are equipped in the host computer server
Query interface, data display interface, user's login interface carry out software login for registering user, and ordinary user can carry out
Registration, logs in after administrator allows；The main interface be menu interface, for user selection want into interface；Institute
It states data display interface and receives the data from gateway node by opening serial ports, and data are shown.Work as data receiver
After can will data be inserted into SQLSERVER database in.In addition, host computer is opened as server, receives and come from cell phone application
Connection；The inquiry of historical data interface can help the power quality data situation of user query section time；The number
According to change curve interface help user check the electric current of certain time, voltage, electricity quality evaluation result data variation curve.
It is shown in the cell phone application equipped with user's login interface, data variation interface, the inquiry of historical data interface, data
Interface, user's login interface are used to register the login that user carries out software, and ordinary user can register, and permit through administrator
Perhaps it is logged in after；The main interface is menu interface, is selected for user；The data show that boundary is upper when successfully linking up
After machine server, it can receive the data from host computer server and data shown, while received data being inserted into
In SQLite database；The inquiry of historical data interface can help the power quality data feelings of user query section time
Condition；Data variation curve interface help user check the electric current of certain time, voltage, electricity quality evaluation result data
Change curve.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the principle of the present invention, also it can make several improvements and retouch, these improvements and modifications should also regard
For protection scope of the present invention.
Claims (8)
1. a kind of power quality monitoring system for intelligent power grid, it is characterised in that: whole including remote monitoring terminal, power quality analysis
End, sensor node, sensor controlling terminal and feedback execute terminal, pass through connection between each sensor node
Zigebee module is connected in a manner of ad hoc network with power quality analysis terminal, forms an effective internal network；It passes
Collected data are wirelessly transmitted to power quality analysis terminal, power quality point through internal network by sensor node
Analysis terminal receives storage data and completes the calculating analysis of these data, and the result for calculating analysis is shown through human-computer interaction module
Afterwards, it is sent to remote monitoring terminal, while corresponding control command to each feedback is exported based on the result for calculating analysis and executes end
End；The remote monitoring terminal issues the Calculation results in such a way that interior letter of standing is sent and is reminded；The sensor control
Terminal processed is used to carry out the calculating of each sensor node rate, according to preset while completing working sensor status assessment
Algorithm carries out the adjustment of each sensor node source rate；It is also used to complete the adjustment of each sensor node position.
2. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the sensor node
Including at least current sensor node and voltage sensor node.
3. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the power quality point
It analyses and is equipped with a data fusion module in terminal, for carrying out pixel-based fusion and feature-based fusion, pixel-based fusion is in electric energy matter
Measure analysing terminal cluster head at carry out, merged using fuzzy nearness algorithm, feature level using BP neural network algorithm into
Row fusion.
4. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the power quality point
It is equipped in analysis terminal:
Data storage module for the collected data of receiving sensor node institute and is stored in corresponding database；
Data forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, is merged according to completion
Feature level data afterwards generate short-term powerquality forecast information, execute terminal scheduling decision-making module for feedback and use；
Power quality analysis module is based on fused data level data using the support vector machine method of grid type searching method
The assessment of power quality situation is carried out, and sends feedback for assessment result and executes terminal scheduling decision-making module
Feedback executes terminal scheduling decision-making module, for according to the collected data of sensor node institute, data forecast analysis mould
The analysis of block and power quality analysis module is conducive to electric energy matter as a result, being calculated using more grouping differential evolution algorithm optimizations
The Managed Solution of amount.
5. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the sensor control
Terminal embodies the collaborative work between each sensor node by forwarding energy, by a node and along its routed path
All nodes constitute a cooperation learning, carry out joint modeling on this basis, complete each sensor node position according to modeling result
The adjustment set.
6. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the long-range monitoring is whole
End includes cell phone application and host computer server, and the cell phone application is attached with host computer server, realizes long-range monitoring.
7. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: letter is handled in the station
Machine APP is received, while often receiving letter in a station, and cell phone application can cooperate with the mode of mobile phone vibration with automatic spring dialog box
It is reminded.
8. a kind of power quality monitoring system for intelligent power grid as described in claim 1, it is characterised in that: the feedback executes end
End includes at least voltage modulated module, current-modulation module, voltage compensation module and current compensation module.
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| CN201811441065.4A CN109557394A (en) | 2018-11-19 | 2018-11-19 | A kind of power quality monitoring system for intelligent power grid |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110213542A (en) * | 2019-06-06 | 2019-09-06 | 广州商学院 | A kind of comprehensive on-line monitoring cloud platform system of the foundation pit based on Internet of Things big data |
| CN111965464A (en) * | 2020-08-25 | 2020-11-20 | 杭州电力设备制造有限公司 | Electric energy quality early warning system based on monitoring data analysis |
| CN112003374A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN112000672A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Distributed power supply electric energy quality monitoring system |
| CN112001550A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Multipoint power quality monitoring system for transformer substation |
| CN112003375A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Electric energy quality on-line monitoring system |
| CN113640602A (en) * | 2021-08-02 | 2021-11-12 | 张家港智能电力研究院有限公司 | Electric energy quality on-line monitoring device with 4G communication function |
| WO2022247087A1 (en) * | 2021-05-24 | 2022-12-01 | 苏州大学 | Electric energy quality monitoring system of smart meter |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090265041A1 (en) * | 2008-04-18 | 2009-10-22 | Benjamin Daniel E | Power Distribution and Monitoring System |
| CN104168331A (en) * | 2014-08-29 | 2014-11-26 | 河海大学常州校区 | Remote power quality monitoring system based on wireless sensor network |
| CN104330701A (en) * | 2014-11-06 | 2015-02-04 | 扬州森源电气有限公司 | Single-phase fault monitoring wireless system for community and monitoring method thereof |
| CN105093019A (en) * | 2015-08-07 | 2015-11-25 | 浙江大学 | LabVIEW and Zigbee based power quality monitoring platform |
| CN204945269U (en) * | 2015-08-21 | 2016-01-06 | 常州埃依琦科技有限公司 | Power quality supervisory information system |
| CN106950902A (en) * | 2017-04-26 | 2017-07-14 | 衢州职业技术学院 | A kind of electric integrated automatic monitoring system |
| CN107567044A (en) * | 2017-10-30 | 2018-01-09 | 云南民族大学 | A kind of wireless sensor network |
| CN108650648A (en) * | 2018-04-04 | 2018-10-12 | 云南民族大学 | A kind of indoor environment monitoring system |
-
2018
- 2018-11-19 CN CN201811441065.4A patent/CN109557394A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090265041A1 (en) * | 2008-04-18 | 2009-10-22 | Benjamin Daniel E | Power Distribution and Monitoring System |
| CN104168331A (en) * | 2014-08-29 | 2014-11-26 | 河海大学常州校区 | Remote power quality monitoring system based on wireless sensor network |
| CN104330701A (en) * | 2014-11-06 | 2015-02-04 | 扬州森源电气有限公司 | Single-phase fault monitoring wireless system for community and monitoring method thereof |
| CN105093019A (en) * | 2015-08-07 | 2015-11-25 | 浙江大学 | LabVIEW and Zigbee based power quality monitoring platform |
| CN204945269U (en) * | 2015-08-21 | 2016-01-06 | 常州埃依琦科技有限公司 | Power quality supervisory information system |
| CN106950902A (en) * | 2017-04-26 | 2017-07-14 | 衢州职业技术学院 | A kind of electric integrated automatic monitoring system |
| CN107567044A (en) * | 2017-10-30 | 2018-01-09 | 云南民族大学 | A kind of wireless sensor network |
| CN108650648A (en) * | 2018-04-04 | 2018-10-12 | 云南民族大学 | A kind of indoor environment monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 张慧颖: "基于Zigbee 技术的电能质量监测系统设计", 《电源技术》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110213542A (en) * | 2019-06-06 | 2019-09-06 | 广州商学院 | A kind of comprehensive on-line monitoring cloud platform system of the foundation pit based on Internet of Things big data |
| CN111965464A (en) * | 2020-08-25 | 2020-11-20 | 杭州电力设备制造有限公司 | Electric energy quality early warning system based on monitoring data analysis |
| CN112003374A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN112000672A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Distributed power supply electric energy quality monitoring system |
| CN112001550A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Multipoint power quality monitoring system for transformer substation |
| CN112003375A (en) * | 2020-08-25 | 2020-11-27 | 杭州电力设备制造有限公司 | Electric energy quality on-line monitoring system |
| CN112003374B (en) * | 2020-08-25 | 2022-04-15 | 杭州电力设备制造有限公司 | Wireless monitoring system for power quality |
| CN112003375B (en) * | 2020-08-25 | 2022-04-15 | 杭州电力设备制造有限公司 | Electric energy quality on-line monitoring system |
| WO2022247087A1 (en) * | 2021-05-24 | 2022-12-01 | 苏州大学 | Electric energy quality monitoring system of smart meter |
| CN113640602A (en) * | 2021-08-02 | 2021-11-12 | 张家港智能电力研究院有限公司 | Electric energy quality on-line monitoring device with 4G communication function |
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Application publication date: 20190402 |