CN116388401A - Substation equipment control method and system - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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Abstract
The invention belongs to the field of control, and discloses a substation equipment control method and a system, wherein the method comprises the following steps: s100, the edge computing equipment classifies wireless sensor nodes in a transformer substation and divides the wireless sensor nodes into single-function nodes and double-function nodes; s200, the single-function node acquires the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period, and transmits the state data to the corresponding dual-function node; s300, the dual-function node transmits state data to the edge computing device; s400, the edge computing device sends the state data to the control device; s500, the control equipment judges whether the state of the power equipment is normal according to the state data, obtains a judging result and controls the power equipment according to the judging result. The invention can obtain the state data in time and simultaneously reduce the overall energy consumption speed of the wireless sensor node.
Description
Technical Field
The invention relates to the field of control, in particular to a substation equipment control method and system.
Background
In order to ensure safe operation of the transformer substation, equipment in the transformer substation can be monitored in the operation process, so that abnormality of the equipment in the transformer substation can be found in time, and abnormal equipment can be controlled in time, for example, operation of the equipment in abnormal state is stopped. In the prior art, a node generally acquires state data of equipment through a fixed acquisition period, then sends the state data to a control center, and the control center judges whether the state of the equipment is normal or not according to the state data and controls the equipment according to a judging result.
However, due to different service lives and different specific environments, if a larger acquisition period is adopted, the sampling frequency of part of equipment is too low, so that the state of the equipment cannot be obtained in time; if smaller acquisition periods are adopted, the energy consumption of the nodes is too high, and the nodes need to be maintained more frequently.
Disclosure of Invention
The invention aims to disclose a substation equipment control method and a system, which solve the problem that in the process of monitoring and controlling substation equipment, the acquisition period can be adapted to the timeliness of acquiring state data, so that the energy consumption speed of a node can be reduced while the state data of the equipment can be acquired in time.
In order to achieve the above purpose, the present invention provides the following technical solutions:
in a first aspect, the present invention provides a substation equipment control method, including:
s100, the edge computing equipment classifies wireless sensor nodes in a transformer substation and divides the wireless sensor nodes into single-function nodes and double-function nodes;
s200, the single-function node acquires the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period, and transmits the state data to the corresponding dual-function node;
s300, the dual-function node transmits state data to the edge computing device;
s400, the edge computing device sends the state data to the control device;
s500, the control equipment judges whether the state of the power equipment is normal according to the state data, obtains a judging result and controls the power equipment according to the judging result;
for the single-function node s, the first q-1 following change acquisition periods are all set constant values, and the calculation functions of the following change acquisition periods are as follows from the q-th following change acquisition period:
and->The (q+1) th and (q) th following change acquisition cycles of the single function node s respectively,is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing that the single function node s is +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison, < ->Representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
Optionally, classifying the wireless sensor nodes in the substation, and dividing the wireless sensor nodes into single-function nodes and dual-function nodes includes:
and classifying the wireless sensor nodes in the transformer substation by adopting fixed classification intervals, and dividing the wireless sensor nodes into single-function nodes and double-function nodes.
Optionally, the wireless sensor node is divided into a single-function node and a dual-function node, including:
s101, calculating an area where power equipment in a transformer substation is located, and dividing the area into a plurality of classification areas;
s102, respectively acquiring a single-function node and a double-function node of each classification area.
Optionally, calculating an area where the power equipment in the substation is located, dividing the area into a plurality of classification areas, including:
s111, establishing a rectangular coordinate system for an area where power equipment in a transformer substation is located;
s112, obtaining the maximum value maX of the X axis, the minimum value miX of the X axis, the maximum value maY of the Y axis and the minimum value miY of the Y axis of the area where the power equipment is located;
s113, acquiring a region to be calculated BK:
x and Y represent the value of the X-axis and the value of the Y-axis, respectively, of a point in a rectangular coordinate system;
s114, the calculation region BK is calculated, and the calculation region BK is divided into a plurality of classification regions.
Alternatively, the calculating area BK is divided into a plurality of classifying areas, including:
the calculation region BK is calculated by adopting a mode of multiple times of calculation to obtain multiple classification regions,
first calculation, dividing the calculated region BK into H classification regions with the same area, and storing the obtained classification regions into an intermediate setWill->The classified area with the conflict coefficient larger than the set coefficient threshold value is saved to a calculation set +.>Will->The classified areas with the conflict coefficient smaller than or equal to the set coefficient threshold value are stored in the classified area set;
Calculation of the p-th time, and collecting the calculation obtained by the p-1 th timeEach element in the list is divided into H classification areas with the same area, and the obtained classification areas are saved into an intermediate set +.>Will->The classified area with the conflict coefficient larger than the set coefficient threshold value is saved to a calculation set +.>Will->The classified area with the conflict coefficient less than or equal to the set coefficient threshold value is saved into the classified area set +.>;
JudgingIf the number of elements in (a) is less than the set number threshold, if so, directly adding +_>Is saved to the classification region set->In the above, the calculation of the calculation region BK is ended, and if not, the (p+1) th calculation is performed.
Optionally, the method includes respectively obtaining a single-function node and a dual-function node of each classification area, including:
s121, respectively calculating relay performance values of each wireless sensor node in the classification area;
s122, determining the number of the dual-function nodes in the classification area based on the relay performance value;
s123, determining the number of single-function node nodes based on the number of double-function nodes;
s124, acquiring the single-function nodes and the double-function nodes of the classification area based on the number of the double-function nodes and the number of the single-function node nodes.
Optionally, controlling the power device according to the judgment result includes:
if the judging result is that the state of the power equipment is abnormal, generating an overhaul instruction, sending the overhaul instruction to the corresponding power equipment,
and stopping the operation of the power equipment after receiving the overhaul command.
In a second aspect, the invention provides a substation equipment control system, which comprises edge computing equipment, wireless sensor nodes and control equipment;
the edge computing equipment is used for classifying wireless sensor nodes in the transformer substation and dividing the wireless sensor nodes into single-function nodes and double-function nodes;
the single-function node is used for acquiring the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period and transmitting the state data to the corresponding double-function node;
the dual function node is used for transmitting the state data to the edge computing device;
the edge computing device is used for sending the state data to the control device;
the control equipment is used for judging whether the state of the power equipment is normal according to the state data, obtaining a judging result and controlling the power equipment according to the judging result;
for the single-function node s, the first q-1 following change acquisition periods are all set constant values, and the calculation functions of the following change acquisition periods are as follows from the q-th following change acquisition period:
and->The (q+1) th and (q) th following change acquisition cycles of the single function node s respectively,is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing that the single function node s is +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison, < ->Representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
In the process of monitoring and controlling the transformer substation equipment, the wireless sensor node acquires the state data of the power equipment along with the change acquisition period, so that the acquisition period of the power equipment is adapted to the real-time state of the power equipment, and the overall energy consumption speed of the wireless sensor node is reduced while the state data is acquired in time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a substation equipment control method according to the present invention.
Fig. 2 is a schematic diagram of a substation equipment control system according to the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In a first aspect, as shown in an embodiment of fig. 1, the present invention provides a substation equipment control method, including:
s100, the edge computing equipment classifies wireless sensor nodes in a transformer substation and divides the wireless sensor nodes into single-function nodes and double-function nodes;
s200, the single-function node acquires the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period, and transmits the state data to the corresponding dual-function node;
s300, the dual-function node transmits state data to the edge computing device;
s400, the edge computing device sends the state data to the control device;
s500, the control equipment judges whether the state of the power equipment is normal according to the state data, obtains a judging result and controls the power equipment according to the judging result;
for the single-function node s, the first q-1 following change acquisition periods are all set constant values, and the calculation functions of the following change acquisition periods are as follows from the q-th following change acquisition period:
and->The (q+1) th and (q) th following change acquisition cycles of the single function node s respectively,is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing that the single function node s is +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison, < ->Representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
In the process of monitoring and controlling the transformer substation equipment, the wireless sensor node acquires the state data of the power equipment along with the change acquisition period, so that the acquisition period of the power equipment is adapted to the real-time state of the power equipment, and the overall energy consumption speed of the wireless sensor node is reduced while the state data is acquired in time.
Specifically, when the representative value is changed to a large extent,and->The absolute value of the difference between them will be greater than the comparison threshold, in which case +.>A negative value causes the value of the acquisition period following the change to become smaller, and the magnitude of the smaller value is positively correlated with the magnitude of the change of the representative value; and when the variation amplitude of the representative value is small, < +.>The value of the acquisition period of the follow-up change is increased by a positive value, and the amplitude of the increased value is positively correlated with the amplitude of the change of the representative value, so that the follow-up change of the acquisition period is realized.
When the representative value changes greatly, the state of the power equipment changes greatly, and at the moment, the following change acquisition period is reduced, so that the state data of the power equipment can be acquired timely, and the power equipment with abnormal state can be found timely. Otherwise, the change of the representative value may be caused by natural aging and other factors, and belongs to normal loss in the use process.
Optionally, the following variation acquisition period is preset with a maximum value and a minimum value whenWhen the value of (2) is greater than the maximum value, the maximum value is taken as +.>Numerical value of>When the value of (2) is smaller than the minimum value, the minimum value is taken asIs a numerical value of (2).
The maximum value and the minimum value are set, the period of the acquisition cycle following the change can be defined in a more reasonable numerical range, if the value of the acquisition cycle following the change is very small, no change is basically caused between two adjacent state data, the data with no effect belongs to the data, and if the value of the acquisition cycle following the change is very large, the state data of the power equipment cannot be acquired timely.
Optionally, the dual-function node is further configured to acquire status data of the power device in the substation by using a following change acquisition period, and send the status data acquired by the dual-function node and the status data acquired by the dual-function node to the control device.
When the control device is out of the communication range of the dual-function node, the dual-function node communicates with the control device in a relay communication mode.
Alternatively, the status data may be a voltage or a current.
When the state data is voltage, judging whether the state of the power equipment is normal according to the state data, including:
if the voltage is greater than the set voltage threshold, the judging result is that the state of the power equipment is abnormal.
For example, when the voltage is 1000V and the voltage threshold is 800V in the obtained status data, it indicates that the status of the power equipment is abnormal.
bcd represents during the time intervalIn, the set of state data obtained by the single function node s,/->Nbcd is the value of state data j and represents the total number of state data in bcd.
In particular, the method comprises the steps of,is calculated by the method and->The same calculation mode is to acquire the average value of the state data in the corresponding time interval.
By calculating the average value of the state data in the time interval with the time span of P, the condition that the accidental occurrence of the state data with the excessive or insufficient individual numerical value influences the correct acquisition of the follow-up change acquisition period can be reduced, and therefore the effective degree of the follow-up change acquisition period is improved.
Optionally, classifying the wireless sensor nodes in the substation, and dividing the wireless sensor nodes into single-function nodes and dual-function nodes includes:
and classifying the wireless sensor nodes in the transformer substation by adopting fixed classification intervals, and dividing the wireless sensor nodes into single-function nodes and double-function nodes.
The value of the classification interval is much larger than the value of the follow-up change acquisition period, so that in one classification interval there are a plurality of follow-up change acquisition periods.
Specifically, after each classification interval is finished, classification is performed again, and after the classification is finished, the next classification interval is started.
The following variation period is always counted, for example, when the 3 rd classification interval is finished and the following variation period is 50 th, the following variation period is calculated from 51 th when the 4 th classification interval is entered.
Optionally, the wireless sensor node is divided into a single-function node and a dual-function node, including:
s101, calculating an area where power equipment in a transformer substation is located, and dividing the area into a plurality of classification areas;
s102, respectively acquiring a single-function node and a double-function node of each classification area.
By classifying the wireless sensor nodes, the efficiency of state data transmission can be improved, the average communication distance of the sensor nodes can be reduced, and each single-function node only needs to communicate with the dual-function node in the classification area where the single-function node is located, so that the service life of the wireless sensor node is prolonged.
Optionally, calculating an area where the power equipment in the substation is located, dividing the area into a plurality of classification areas, including:
s111, establishing a rectangular coordinate system for an area where power equipment in a transformer substation is located;
s112, obtaining the maximum value maX of the X axis, the minimum value miX of the X axis, the maximum value maY of the Y axis and the minimum value miY of the Y axis of the area where the power equipment is located;
s113, acquiring a region to be calculated BK:
x and Y represent the value of the X-axis and the value of the Y-axis, respectively, of a point in a rectangular coordinate system;
s114, the calculation region BK is calculated, and the calculation region BK is divided into a plurality of classification regions.
Specifically, the north direction may be selected as the Y-axis direction, and then a point near the area where the power equipment is located is selected as the origin, and a rectangular coordinate system is established.
In one embodiment, when the area where the power equipment is located is a rectangle, and two opposite sides of the rectangle are perpendicular to the true direction, a rectangular coordinate system is established by taking the lower left corner of the rectangle as the origin of coordinates,
at this time, the maximum value of the X axis is the length of the side of the rectangle in the north direction, the minimum value of the X axis is 0, the maximum value of the Y axis is the length of the side of the rectangle perpendicular to the north direction, and the minimum value of the Y axis is 0.
Alternatively, the calculating area BK is divided into a plurality of classifying areas, including:
at the end of the first classification interval, directly dividing the calculation region BK into Z classification regions with the same area;
starting from the second classification interval, after the classification interval is finished, the calculation region BK is calculated in a multi-calculation mode to obtain a plurality of classification regions,
first calculation, dividing the calculated region BK into H classification regions with the same area, and storing the obtained classification regions into an intermediate setWill->The classified area with the conflict coefficient larger than the set coefficient threshold value is saved to a calculation set +.>Will->The classified areas with the conflict coefficient smaller than or equal to the set coefficient threshold value are stored in the classified area set;
Calculation of the p-th time, and collecting the calculation obtained by the p-1 th timeEach element in the list is divided into H classification areas with the same area, and the obtained classification areas are saved into an intermediate set +.>Will->The classified area with the conflict coefficient larger than the set coefficient threshold value is saved to a calculation set +.>Will->The classified area with the conflict coefficient less than or equal to the set coefficient threshold value is saved into the classified area set +.>;
JudgingIf the number of elements in (a) is less than the set number threshold, if so, directly adding +_>Is saved to the classification region set->In the above, the calculation of the calculation region BK is ended, and if not, the (p+1) th calculation is performed.
At the beginning of the first classification interval, the present invention sets a direct division into Z classification regions, since there are not enough data samples to calculate the collision coefficients. For the subsequent calculation, the invention judges whether the classification area needs to be calculated next time according to the collision coefficient, so that the size of the classification area is different along with the difference of the acquisition period of the following change of the wireless sensor node, thereby realizing the self-adaptive change of the area of the classification area, being beneficial to maximizing the difference of the acquisition period of the following change of the wireless sensor node in the same classification area, reducing the probability of communication collision, reducing the retransmission probability of the wireless sensor node and saving the transmission energy consumption of the wireless sensor node.
Specifically, the set number threshold may be 1.
Optionally, the calculation function of the collision coefficient is:
for the collision coefficient of classification area a, +.>Weight representing area, ++>Weight representing acquisition period following a change, +.>And->The sum of the two is 1->For the area of the classification region a, +.>For the area of the region BK>For the set of single-function nodes in the classification area a at the end of the q-th classification interval,/>For the number of single function nodes in classification area a, +.>Indicating the following variation acquisition period of the single function node i at the end of the q-th classification interval,/>A standard value of the variance of the period is obtained for the set follow-up variation.
The collision coefficient is related to the size of the classification area and the variance of the following change acquisition period, and the larger the classification area is, the smaller the variance of the following change acquisition period is, the larger the collision coefficient is, and the larger the probability that the classification area needs to be calculated next time is.
The calculation function can maximize the difference of the acquisition periods of the wireless sensor nodes following the change in the same classification area, so that the probability of communication conflict is reduced.
The following is a more specific embodiment of the first calculation in the process of calculating the calculation region BK by a plurality of times of calculation to obtain a plurality of classification regions:
when H is 2, the calculated area BK is a rectangle with an area of 10000 square meters, and the calculated area BK is divided into 2 classified areas with an area of 5000 square meters, wherein the 2 classified areas are A1 and A2 respectively, and the obtained 2 classified areas are stored in the middle set,/>,
Let A1 have 4 single function nodes aA2, bA2, cA2, dA2 inside.
The following change acquisition periods at the end of the q-th classification interval of aA2, bA2, cA2d, A2 are 3h,5h,3h, respectively.
Inside A2 there are 4 single function nodes aA3, bA3, cA3, dA3.
The following change acquisition periods of aA3, bA3, cA3, dA3 at the end of the q-th classification interval are 3h,5h,7h,9h, respectively.
When (when)Has a value of 0.7->When the value of cycfc is 0.3 and the value of cycfc is 2, the conflict coefficient of the classification area A1The method comprises the following steps:
Similarly, the conflict coefficient of the classification area A2 can be calculatedAt the level of 0.47, the total number of the components,
when the coefficient threshold is set to 1,will be saved to the collection->,/>Will be saved to the collection->。
It is known that the collision coefficient of the classification area A1 with smaller variance of the acquisition period is larger, and the classification area A1 is judged as being required to be divided again.
One skilled in the art can set the coefficient threshold value according to the actual requirement,Values of (2)、/>A value of cycfc. For example, when it is necessary to make the area of the finally obtained classification region smaller, the coefficient threshold may be set smaller so that more partitioned regions enter the next calculation.
Optionally, the method includes respectively obtaining a single-function node and a dual-function node of each classification area, including:
s121, respectively calculating relay performance values of each wireless sensor node in the classification area;
s122, determining the number of the dual-function nodes in the classification area based on the relay performance value;
s123, determining the number of single-function node nodes based on the number of double-function nodes;
s124, acquiring the single-function nodes and the double-function nodes of the classification area based on the number of the double-function nodes and the number of the single-function node nodes.
Optionally, the calculation function of the relay performance value is:
for the relay performance value of wireless sensor node b,/-for>Is a proportional parameter->,/>For the current remaining energy of wireless sensor node b, +.>For the maximum amount of energy that wireless sensor node b can carry,is the total number of other wireless sensor nodes within the communication coverage of wireless sensor node b, +.>Is a set number constant.
The larger the current residual energy is, the larger the total number of other wireless sensor nodes in the communication coverage range is, the larger the relay performance value is, so that the wireless sensor node with excellent data relay performance can be selected to serve as a dual-function node.
Optionally, determining the number of dual function nodes in the classification area based on the relay performance value includes:
For the maximum value of the relay performance values of the wireless sensor nodes in the classification area, +.>For the upper limit value of the set relay performance value, +.>A standard value representing the number of dual function nodes.
The smaller the value of (c) is, the worse the relay performance value of the whole in the classification area is, the more the number of the dual-function nodes is, so that the capability of relaying the state data is ensured.
Optionally, determining the number of single-function node nodes based on the number of dual-function nodes includes:
subtracting the number of the dual-function nodes from the total number of the wireless sensor nodes in the classification area to obtain the number of the single-function node nodes in the classification area.
Optionally, obtaining the single-function node and the dual-function node of the classification area based on the number of the dual-function nodes and the number of the single-function node nodes, including;
before the value of the relay performance value in the classification area is the largestThe wireless sensor nodes are used as dual-function nodes, and the rest wireless sensor nodes in the classification area are used as single-function nodes.
Optionally, controlling the power device according to the judgment result includes:
if the judging result is that the state of the power equipment is abnormal, generating an overhaul instruction, sending the overhaul instruction to the corresponding power equipment,
and stopping the operation of the power equipment after receiving the overhaul command.
Specifically, taking voltage as an example, when the voltage of the power equipment exceeds a set interval, the state of the power equipment is abnormal.
In a second aspect, as shown in an embodiment of fig. 2, the present invention provides a substation equipment control system, including an edge computing device, a wireless sensor node, and a control device;
the edge computing equipment is used for classifying wireless sensor nodes in the transformer substation and dividing the wireless sensor nodes into single-function nodes and double-function nodes;
the single-function node is used for acquiring the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period and transmitting the state data to the corresponding double-function node;
the dual function node is used for transmitting the state data to the edge computing device;
the edge computing device is used for sending the state data to the control device;
the control equipment is used for judging whether the state of the power equipment is normal according to the state data, obtaining a judging result and controlling the power equipment according to the judging result;
for the single-function node s, the first q-1 following change acquisition periods are all set constant values, and the calculation functions of the following change acquisition periods are as follows from the q-th following change acquisition period:
and->The (q+1) th and (q) th following change acquisition cycles of the single function node s respectively,is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing that the single function node s is +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison, < ->Representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (8)
1. A substation equipment control method, characterized by comprising:
s100, the edge computing equipment classifies wireless sensor nodes in a transformer substation and divides the wireless sensor nodes into single-function nodes and double-function nodes;
s200, the single-function node acquires the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period, and transmits the state data to the corresponding dual-function node;
s300, the dual-function node transmits state data to the edge computing device;
s400, the edge computing device sends the state data to the control device;
s500, the control equipment judges whether the state of the power equipment is normal according to the state data, obtains a judging result and controls the power equipment according to the judging result;
for the single-function node s, the first q-1 following change acquisition periods are all set constant values, and the calculation functions of the following change acquisition periods are as follows from the q-th following change acquisition period:;and->The (q+1) th and (q) th following change acquisition periods of the single function node s, respectively,/->Is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing a single functionNode s +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison,representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
2. The substation equipment control method according to claim 1, wherein the classification of wireless sensor nodes in the substation, the classification of wireless sensor nodes into single-function nodes and dual-function nodes, includes:
and classifying the wireless sensor nodes in the transformer substation by adopting fixed classification intervals, and dividing the wireless sensor nodes into single-function nodes and double-function nodes.
3. A substation equipment control method according to claim 2, characterized in that the division of the wireless sensor nodes into single-function nodes and dual-function nodes comprises:
s101, calculating an area where power equipment in a transformer substation is located, and dividing the area into a plurality of classification areas;
s102, respectively acquiring a single-function node and a double-function node of each classification area.
4. A substation equipment control method according to claim 3, characterized in that the calculation of the area in which the power equipment in the substation is located, the division of the area into a plurality of classification areas, comprises:
s111, establishing a rectangular coordinate system for an area where power equipment in a transformer substation is located;
s112, obtaining the maximum value maX of the X axis, the minimum value miX of the X axis, the maximum value maY of the Y axis and the minimum value miY of the Y axis of the area where the power equipment is located;
x and Y represent the value of the X-axis and the value of the Y-axis, respectively, of a point in a rectangular coordinate system;
s114, the calculation region BK is calculated, and the calculation region BK is divided into a plurality of classification regions.
5. The substation equipment control method according to claim 4, characterized in that calculating the calculation region BK, dividing the calculation region BK into a plurality of classification regions, includes:
the calculation region BK is calculated by adopting a mode of multiple times of calculation to obtain multiple classification regions,
first calculation, dividing the calculated region BK into H classification regions with the same area, and storing the obtained classification regions into an intermediate setWill->The classified areas with the conflict coefficients larger than the set coefficient threshold value are stored in a calculation setWill->The classified areas with the conflict coefficient smaller than or equal to the set coefficient threshold value are stored in the classified area set;
Calculation of the p-th time, and collecting the calculation obtained by the p-1 th timeEach element in the list is divided into H classification areas with the same area, and the obtained classification areas are saved into an intermediate set +.>Will->The classified area with the conflict coefficient larger than the set coefficient threshold value is saved to a calculation set +.>Will->The classified area with the conflict coefficient less than or equal to the set coefficient threshold value is saved into the classified area set +.>;
6. A substation equipment control method according to claim 3, wherein acquiring the single-function node and the dual-function node of each classification area, respectively, comprises:
s121, respectively calculating relay performance values of each wireless sensor node in the classification area;
s122, determining the number of the dual-function nodes in the classification area based on the relay performance value;
s123, determining the number of single-function node nodes based on the number of double-function nodes;
s124, acquiring the single-function nodes and the double-function nodes of the classification area based on the number of the double-function nodes and the number of the single-function node nodes.
7. The substation equipment control method according to claim 1, wherein the controlling of the power equipment according to the judgment result includes:
if the judging result is that the state of the power equipment is abnormal, generating an overhaul instruction, sending the overhaul instruction to the corresponding power equipment,
and stopping the operation of the power equipment after receiving the overhaul command.
8. The substation equipment control system is characterized by comprising edge computing equipment, wireless sensor nodes and control equipment;
the edge computing equipment is used for classifying wireless sensor nodes in the transformer substation and dividing the wireless sensor nodes into single-function nodes and double-function nodes;
the single-function node is used for acquiring the state data of the power equipment in the transformer substation by adopting a follow-change acquisition period and transmitting the state data to the corresponding double-function node;
the dual function node is used for transmitting the state data to the edge computing device;
the edge computing device is used for sending the state data to the control device;
the control equipment is used for judging whether the state of the power equipment is normal according to the state data, obtaining a judging result and controlling the power equipment according to the judging result;
for single functionThe node s, the previous q-1 follow-up change acquisition periods are all set constant values, and the calculation function of the follow-up change acquisition period is as follows from the q-th follow-up change acquisition period:;and->The (q+1) th and (q) th following change acquisition periods of the single function node s, respectively,/->Is a sign coefficient, if->Then->Is-1, otherwise, < >>1->For a preset comparison threshold, ++>Representing that the single function node s is +.>In, representative value of the status data obtained, < +.>Representing that the single function node s is +.>In the representative value of the obtained status data, P represents a preset first time period, ++>Representing a preset representative value for comparison,representing a second predetermined length of time, +.>The time at which the calculation of the (q+1) th acquisition cycle with change is started is indicated.
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