CN107580315A - A kind of Wind turbines condition monitoring system for intelligent grid - Google Patents
A kind of Wind turbines condition monitoring system for intelligent grid Download PDFInfo
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- CN107580315A CN107580315A CN201710824439.XA CN201710824439A CN107580315A CN 107580315 A CN107580315 A CN 107580315A CN 201710824439 A CN201710824439 A CN 201710824439A CN 107580315 A CN107580315 A CN 107580315A
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Abstract
The invention provides a kind of Wind turbines condition monitoring system for intelligent grid, including Wind turbines state aware monitoring modular, CSRC platform and user terminal, described Wind turbines state aware monitoring modular is used to gather Wind turbines status data and send the Wind turbines status data collection of collection to CSRC platform；Described CSRC platform carries out data analysis and process to Wind turbines status data, judges the health status of Wind turbines in time；Described user terminal obtains the health status of Wind turbines status data and Wind turbines by accessing CSRC platform.The present invention realizes the wireless monitor of Wind turbines state.
Description
Technical Field
The invention relates to the field of wind power equipment monitoring, in particular to a wind turbine state monitoring system for an intelligent power grid.
Background
Wind turbine generator system state monitoring system among the present practical application carries out information acquisition and transmission based on the wired communication mode mostly, and along with wind-powered electricity generation's continuous development, wind-powered electricity generation field capacity constantly increases, and there is obvious defect in the state monitoring who adopts the wired communication mode: (1) For wind power plants far away from land, the accessibility is poor, the wiring difficulty of wired communication facilities is high, the construction cost is high, and the construction of a state monitoring system is not facilitated; (2) The traditional point-to-multipoint information transmission mode and the centralized information processing mode are often adopted in wired communication, so that the efficiency is low, the real-time performance is poor, and the reliability of a state monitoring system cannot be ensured.
Disclosure of Invention
In order to solve the problems, the invention provides a wind turbine state monitoring system for an intelligent power grid.
The purpose of the invention is realized by adopting the following technical scheme:
the wind turbine state sensing and monitoring module is used for acquiring wind turbine state data and collecting and sending the acquired wind turbine state data to the central monitoring platform; the central monitoring platform analyzes and processes the state data of the wind turbine generator and judges the health state of the wind turbine generator in time; the user terminal obtains the state data of the wind turbine generator and the health state of the wind turbine generator by accessing the central monitoring platform.
The invention has the beneficial effects that: the wireless monitoring of the state of the wind turbine generator is realized, the system has the advantages of convenience in arrangement, comprehensive monitoring, high communication efficiency and the like, the fault early warning and the service life prediction of the wind turbine generator are facilitated under the unattended condition, the scientific basis is provided for preventive maintenance of the wind turbine generator, the fault occurrence rate is reduced, and therefore the maintenance cost of the wind turbine generator is reduced.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a connection block diagram of the central monitoring platform of the present invention.
Reference numerals:
the system comprises a wind turbine state sensing and monitoring module 1, a central monitoring platform 2, a user terminal 3, a data storage module 10, a data analysis and processing module 20 and a wind turbine health state display module 30.
Detailed Description
The invention is further described in connection with the following examples.
Referring to fig. 1 and fig. 2, the wind turbine state monitoring system for the smart grid provided in this embodiment includes a wind turbine state sensing monitoring module 1, a central monitoring platform 2 and a user terminal 3, where the wind turbine state sensing monitoring module 1 is configured to collect wind turbine state data and collect and send the collected wind turbine state data to the central monitoring platform 2; the central monitoring platform 2 analyzes and processes the state data of the wind turbine generator and judges the health state of the wind turbine generator in time; the user terminal 3 obtains the state data of the wind turbine generator and the health state of the wind turbine generator by accessing the central monitoring platform 2.
Preferably, the wind turbine state data includes displacement, acceleration, strain and corrosion degree.
Preferably, the central monitoring platform 2 includes a data storage module 10, a data analysis processing module 20, and a wind turbine generator health status display module 30.
Preferably, the wind turbine state sensing and monitoring module 1 monitors the state of the wind turbine through a wireless sensor network, and comprises a plurality of wind turbine state monitoring nodes and a sink node which are distributed in a wind turbine monitoring area, each wind turbine state monitoring node has a unique identification number, and each wind turbine state monitoring node has the same initial energy and data processing and communication capacity; the wind turbine state monitoring nodes are used for acquiring wind turbine state data, the sink nodes collect the wind turbine state data of all the wind turbine state monitoring nodes, and the collected wind turbine state data are transmitted to the central monitoring platform 2.
Preferably, the wind turbine state monitoring node and the sink node are arranged on the wind turbine in a rigid mechanical fastening mode, or are arranged on the wind turbine through an adhesive or a magnetic base.
The embodiment of the invention realizes the wireless monitoring of the state of the wind turbine generator, the system has the advantages of convenient arrangement, comprehensive monitoring, high communication efficiency and the like, is convenient for carrying out the fault early warning and the service life prediction of the wind turbine generator under the unattended condition, is favorable for providing scientific basis for the preventive maintenance of the wind turbine generator, reduces the fault occurrence rate and further reduces the maintenance cost of the wind turbine generator.
During initialization, each wind turbine state monitoring node establishes a neighbor node list through broadcasting an initialization message, clustering is carried out, the wind turbine state monitoring nodes send wind turbine state data to cluster head nodes in the cluster, and then the cluster head nodes fuse the received wind turbine state data and send the received wind turbine state data to a sink node.
In one embodiment, if the wind turbine state monitoring node is in a multi-hop distance with a cluster head node of a cluster where the wind turbine state monitoring node is located, the wind turbine state monitoring node determines the selection probability of each neighbor node in a neighbor node list according to the following formula, and randomly selects a next-hop node in the neighbor node list according to the selection probability to transmit wind turbine state data:
in the formula, Q ij (t) shows that the wind turbine state monitoring node i is in the neighbor node list at the current moment tProbability, U, of selecting neighbor node j as next hop node for wind turbine state data transmission ij (t) represents the residual energy of j at the current time t, U v (t) is the residual energy of the v-th neighbor node in the neighbor node list of the wind turbine state monitoring node i, E i A cluster head node L (j, E) representing a cluster where the wind turbine state monitoring node i is located i ) Denotes j to E i L (v, E) i ) Indicating the v-th neighbor node to E in the neighbor node list of the wind turbine state monitoring node i i Distance of (d), P (j, E) i ) Denotes j to E i Minimum number of hops passed, 1/P (v, E) i ) From the v-th neighbor node to E in the neighbor node list of the wind turbine state monitoring node i i Minimum number of hops passed, N i And representing the number of neighbor nodes in the neighbor node list of the wind turbine state monitoring node i.
The wind turbine state monitoring node of the preferred embodiment randomly selects the next hop node in the neighbor node list according to the selection probability, wherein the selection probability depends on the residual energy of the neighbor nodes, the distance to the cluster head node and the hop count, so that the load of each neighbor node can be balanced, the energy consumption of the wind turbine state monitoring node is balanced, and the communication cost of the wind turbine state monitoring system is saved.
In one embodiment, when sending wind turbine generator state data to a sink node, a cluster head node judges in advance whether the sink node is in a neighbor node list thereof, if the sink node is in the neighbor node list thereof, the cluster head node directly forwards the wind turbine generator state data to the sink node, if the sink node is not in the neighbor node list thereof, the cluster head node sends the wind turbine generator state data to the sink node in a multi-hop relay manner, and selects a next-hop relay node in the neighbor node list thereof, which specifically includes:
(1) Setting a cluster head node needing to select a next hop relay node as b, if a cluster head node exists in a neighbor node list of b, selecting the cluster head node as the relay node when the cluster head nodes are 1, calculating the preferred value of each cluster head node according to the following formula when the cluster head nodes are multiple, and selecting the cluster head node with the largest preferred value as the relay node:
in the formula, L (d, b) represents the distance between the cluster head nodes d and b in the neighbor node list of b, L (d, sink) represents the distance between d and the sink node, g is a set weight coefficient, and the set range is 0.5-g-1;
(2) If the neighbor node list of b does not have cluster head nodes, calculating the routing probability of each neighbor node in the neighbor node list according to the following formula, and selecting the neighbor node with the maximum routing probability as a relay node:
in the formula, Q bh (t) represents the routing probability, U, of the neighbor node h in the neighbor node list of b at the current time t h (t) represents the remaining energy of h at the current time t,and b is the average residual energy of the neighbor nodes in the neighbor node list, L (h, sink) is the distance between h and the sink node, and P (h, sink) represents the minimum hop count from h to the sink node.
According to the embodiment, a strategy that the cluster head nodes send the state data of the wind generation sets to the sink nodes is formulated, energy excess caused by long-distance transmission is avoided, energy consumption of wind generation set state data collection is saved and balanced, the cluster head nodes are preferentially selected to serve as the relay nodes, communication delay can be reduced, calculation formulas of optimal values and routing probabilities are designed, the selected relay nodes have better performance, loads among the wind generation set state monitoring nodes can be balanced, and energy consumption of the wind generation set state monitoring nodes is balanced.
In one embodiment, when each wind turbine state monitoring node establishes its own neighbor node list by broadcasting an initialization message, the following steps are specifically executed:
(1) The wind turbine state monitoring node determines neighbor nodes in a communication range through broadcast initialization information;
(2) If the neighbor node satisfies the following formula, the wind turbine state monitoring node is added into a neighbor node list, so that a self neighbor node list is established:
in the formula, L (i, j) represents the distance between the wind turbine state monitoring node i and the neighbor node j in the communication range of the wind turbine state monitoring node i, and R i Communication radius, L, of node i for monitoring wind turbine state max And L min The maximum distance and the minimum distance between the wind turbine state monitoring node and the sink node are respectively shown, L (i, sink) represents the distance between the wind turbine state monitoring node i and the sink node, and L (j, sink) represents the distance between j and the sink node.
The wind turbine state monitoring node constructs the neighbor node list of the wind turbine state monitoring node according to the method, so that the scale of the neighbor node list closer to the sink node is smaller, the energy consumed by the wind turbine state monitoring node closer to the sink node when the next-hop node is selected is saved beneficially, more energy is reserved to undertake a forwarding task, the neighbor nodes in a communication range are filtered, and the efficiency of selecting the subsequent next-hop node or relay node is improved beneficially.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (6)
1. A wind turbine state monitoring system for an intelligent power grid is characterized by comprising a wind turbine state sensing and monitoring module, a central monitoring platform and a user terminal, wherein the wind turbine state sensing and monitoring module is used for acquiring wind turbine state data and collecting and sending the acquired wind turbine state data to the central monitoring platform; the central monitoring platform analyzes and processes the state data of the wind turbine generator and judges the health state of the wind turbine generator in time; the user terminal acquires the state data of the wind turbine generator and the health state of the wind turbine generator by accessing the central monitoring platform.
2. The wind turbine state monitoring system for the smart grid as claimed in claim 1, wherein the central monitoring platform comprises a data storage module, a data analysis processing module and a wind turbine health state display module.
3. The wind turbine state monitoring system for the smart grid as claimed in claim 1, wherein the wind turbine state sensing and monitoring module monitors the state of the wind turbine through a wireless sensor network, and comprises a plurality of wind turbine state monitoring nodes and a sink node, wherein the wind turbine state monitoring nodes are distributed in a wind turbine monitoring area, each wind turbine state monitoring node has a unique identification number, and each wind turbine state monitoring node has the same initial energy and data processing and communication capabilities; the wind turbine state monitoring nodes are used for acquiring wind turbine state data, the sink nodes collect the wind turbine state data of all the wind turbine state monitoring nodes, and the collected wind turbine state data are transmitted to the central monitoring platform.
4. The wind turbine state monitoring system for the smart grid as claimed in claim 3, wherein the wind turbine state monitoring node and the sink node are rigidly and mechanically fastened to the wind turbine, or are mounted on the wind turbine by an adhesive or a magnetic base.
5. The system according to claim 3, wherein during initialization, each wind turbine state monitoring node establishes its own neighbor node list by broadcasting an initialization message and performs clustering, and the wind turbine state monitoring node transmits the wind turbine state data to a cluster head node in the cluster, and then fuses the received wind turbine state data by the cluster head node and transmits the received wind turbine state data to the aggregation node.
6. The wind turbine state monitoring system for the smart grid as claimed in claim 5, wherein if the wind turbine state monitoring node is a multi-hop distance from the cluster head node of the cluster, the wind turbine state monitoring node determines the selection probability of each neighbor node in the neighbor node list according to the following formula, and randomly selects the next-hop node in the neighbor node list according to the selection probability for transmitting the wind turbine state data:
in the formula, Q ij (t) represents the probability that the wind turbine state monitoring node i selects the neighbor node j in the neighbor node list of the wind turbine state monitoring node i as the next hop node to transmit the wind turbine state data at the current moment t, and U represents the probability that the wind turbine state monitoring node i selects the neighbor node j as the next hop node to transmit the wind turbine state data ij (t) represents the residual energy of j at the current time t, U v (t) is the residual energy of the v-th neighbor node in the neighbor node list of the wind turbine state monitoring node i, E i A cluster head node L (j, E) representing a cluster where the wind turbine state monitoring node i is located i ) Denotes j to E i L (v, E) i ) Indicating the v-th neighbor node to E in the neighbor node list of the wind turbine state monitoring node i i Distance of (d), P (j, E) i ) Denotes j to E i Minimum number of hops passed, 1/P (v, E) i ) From the v-th neighbor node to E in the neighbor node list of the wind turbine state monitoring node i i Minimum number of hops passed, N i Representing windThe number of neighbor nodes in the neighbor node list of the motor group state monitoring node i.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710824439.XA CN107580315A (en) | 2017-09-13 | 2017-09-13 | A kind of Wind turbines condition monitoring system for intelligent grid |
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| CN201710824439.XA CN107580315A (en) | 2017-09-13 | 2017-09-13 | A kind of Wind turbines condition monitoring system for intelligent grid |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108518315A (en) * | 2018-03-20 | 2018-09-11 | 深圳众厉电力科技有限公司 | A kind of Wind turbines intelligent monitor system based on cloud storage technology |
| CN108691733A (en) * | 2018-07-25 | 2018-10-23 | 深圳众厉电力科技有限公司 | Wind generating set vibration wireless monitor system |
| CN108924785A (en) * | 2018-08-02 | 2018-11-30 | 深圳汇通智能化科技有限公司 | Wind generating set vibration wisdom monitors system |
| CN115013261A (en) * | 2022-08-08 | 2022-09-06 | 国网浙江省电力有限公司舟山供电公司 | State monitoring method and system for offshore wind farm |
-
2017
- 2017-09-13 CN CN201710824439.XA patent/CN107580315A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108518315A (en) * | 2018-03-20 | 2018-09-11 | 深圳众厉电力科技有限公司 | A kind of Wind turbines intelligent monitor system based on cloud storage technology |
| CN108691733A (en) * | 2018-07-25 | 2018-10-23 | 深圳众厉电力科技有限公司 | Wind generating set vibration wireless monitor system |
| CN108924785A (en) * | 2018-08-02 | 2018-11-30 | 深圳汇通智能化科技有限公司 | Wind generating set vibration wisdom monitors system |
| CN115013261A (en) * | 2022-08-08 | 2022-09-06 | 国网浙江省电力有限公司舟山供电公司 | State monitoring method and system for offshore wind farm |
| CN115013261B (en) * | 2022-08-08 | 2022-12-06 | 国网浙江省电力有限公司舟山供电公司 | State monitoring method and system for offshore wind farm |
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Application publication date: 20180112 |