CN111245097A - Intelligent power grid management and control system and method - Google Patents
Intelligent power grid management and control system and method Download PDFInfo
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- CN111245097A CN111245097A CN202010109143.1A CN202010109143A CN111245097A CN 111245097 A CN111245097 A CN 111245097A CN 202010109143 A CN202010109143 A CN 202010109143A CN 111245097 A CN111245097 A CN 111245097A
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims abstract description 13
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 18
- 238000012423 maintenance Methods 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 6
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Classifications
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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
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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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention relates to a smart grid management and control system and a smart grid management and control method, wherein the smart grid management and control system comprises the following steps: the power grid fault parameter selection module is used for selecting various parameters which possibly cause the power grid to have faults according to the power grid big data platform, and the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values; the fault parameter acquisition module is provided with an acquisition unit on a line or equipment, a timer is arranged in the acquisition unit, the acquisition sensor is controlled by the timer to periodically acquire fault parameters, and a fault parameter value variable taking a time sequence as an independent variable is formed in a sampling period; transmitting the fault parameter value variable to a remote control center; the fault parameter analysis module is used for carrying out sample division on the obtained fault parameter value variable, carrying out trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value; and the alarm module is used for sending alarm information to the alarm terminal by the remote control center.
Description
Technical Field
The invention belongs to the technical field of power equipment, and particularly relates to a smart grid management and control system and method.
Background
The electricity is the guarantee of human material life, and the electricity can not be left no matter in industry, agriculture or normal human life.
Along with the continuous development and progress of scientific technology, the intelligent power grid technology is more and more mature, and whether the power equipment breaks down or not can be judged according to the normality of the parameters of the power system so as to carry out timely rush repair.
However, in the prior art, the monitoring mode of the power equipment only can be that the first-aid repair is carried out after the fault occurs, and the prejudgment cannot be carried out before the fault occurs; inevitably leading to the occurrence of failure of the electrical equipment. This is a disadvantage of the prior art.
In view of this, the invention provides a system and a method for managing and controlling a smart grid; it is very necessary to solve the above-mentioned defects existing in the prior art.
Disclosure of Invention
The present invention is directed to provide a smart grid management and control system and method for solving the above technical problems.
In order to achieve the purpose, the invention provides the following technical scheme:
a smart grid management and control system, comprising:
the power grid fault parameter selection module is used for selecting various parameters which possibly cause the power grid to have faults according to the power grid big data platform, and the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values;
the fault parameter acquisition module is provided with an acquisition unit on a line or equipment, a timer is arranged in the acquisition unit, the acquisition sensor is controlled by the timer to periodically acquire fault parameters, and a fault parameter value variable taking a time sequence as an independent variable is formed in a sampling period; transmitting the fault parameter value variable to a remote control center;
the fault parameter analysis module is used for carrying out sample division on the obtained fault parameter value variable, carrying out trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value;
the remote control center sends alarm information to the alarm terminal; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
Preferably, in the grid fault screening module, the parameters causing the grid fault include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage and user equipment current; the failure parameters are set to more fully acquire the possibility of failure occurrence.
Preferably, the acquisition unit is provided with a GPS positioning chip; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time; the fault position can be conveniently and timely acquired.
Preferably, in the fault parameter analysis module, a trend calculation is performed on the fault parameter by using a moving average algorithm.
A smart grid management and control method comprises the following steps:
s1: selecting various parameters which possibly cause the power grid to have faults according to a power grid big data platform, wherein the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values;
s2: a step of acquiring fault parameters, which is to set an acquisition unit on a line or equipment, wherein the acquisition unit is provided with a timer, control an acquisition sensor to periodically acquire the fault parameters through the timer, and form a fault parameter value variable taking a time sequence as an independent variable in a sampling period; transmitting the fault parameter value variable to a remote control center;
s3: analyzing fault parameters, namely performing sample division on the obtained fault parameter value variable, performing trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value;
s4: alarming, namely sending alarm information to an alarm terminal by a remote control center; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
Preferably, in the step of screening the grid fault parameters, the parameters causing the grid fault include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage and user equipment current; the failure parameters are set to more fully acquire the possibility of failure occurrence.
Preferably, in the step of acquiring the fault parameters, a GPS positioning chip is configured in the acquisition unit; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time; the fault position can be conveniently and timely acquired; is convenient for rush repair.
Preferably, in the step of analyzing the fault parameters, a moving average algorithm is used to perform trend calculation on the fault parameters.
The method has the advantages that the method can reflect the fault occurrence by collecting the parameter information, trend budgeting is carried out on the collected information, if the collected information deviates from the standard value of the fault parameter, the fault is estimated to possibly occur, namely maintenance personnel are dispatched to carry out maintenance; the occurrence of faults is effectively avoided. In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
Fig. 1 is a schematic diagram of a smart grid management and control system provided by the invention.
Fig. 2 is a flowchart of a smart grid management and control method provided by the present invention.
The system comprises a power grid fault parameter screening module, a 2-fault parameter acquiring module, a 3-fault parameter analyzing module and a 4-alarm module, wherein the power grid fault parameter screening module, the 2-fault parameter acquiring module, the 3-fault parameter analyzing module and the 4-alarm module are arranged in sequence.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings by way of specific examples, which are illustrative of the present invention and are not limited to the following embodiments.
Example 1:
as shown in fig. 1, the smart grid management and control system provided in this embodiment includes:
the power grid fault parameter selection module 1 selects various parameters which may cause a fault of a power grid according to a power grid big data platform, and the selected parameters can judge that a corresponding line or equipment has a fault when the selected parameters deviate from standard values; parameters that cause the grid to fail include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage and user equipment current; the failure parameters are set to more fully acquire the possibility of failure occurrence.
The fault parameter acquisition module 2 is provided with an acquisition unit on a line or equipment, and the acquisition unit is provided with a GPS positioning chip; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time; the fault position can be conveniently and timely acquired. A timer is arranged in the acquisition unit, the acquisition sensor is controlled by the timer to periodically acquire fault parameters, and fault parameter value variables taking time sequence as independent variables are formed in a sampling period; transmitting the fault parameter value variable to a remote control center;
the fault parameter analysis module 3 is used for carrying out sample division on the obtained fault parameter value variable, carrying out trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value; and adopting a moving average algorithm to perform trend measurement and calculation on the fault parameters.
The alarm module 4 is used for sending alarm information to the alarm terminal by the remote control center; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
Example 2:
as shown in fig. 2, the smart grid management and control method provided in this embodiment includes the following steps:
s1: selecting various parameters which possibly cause the power grid to have faults according to a power grid big data platform, wherein the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values; parameters that cause the grid to fail include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage and user equipment current; the failure parameters are set to more fully acquire the possibility of failure occurrence.
S2: a step of acquiring fault parameters, in which an acquisition unit is arranged on a line or equipment, and a GPS positioning chip is configured in the acquisition unit; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time; the fault position can be conveniently and timely acquired. A timer is arranged in the acquisition unit, the acquisition sensor is controlled by the timer to periodically acquire fault parameters, and fault parameter value variables taking time sequence as independent variables are formed in a sampling period; transmitting the fault parameter value variable to a remote control center;
s3: analyzing fault parameters, namely performing sample division on the obtained fault parameter value variable, performing trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value; and adopting a moving average algorithm to perform trend measurement and calculation on the fault parameters.
S4: alarming, namely sending alarm information to an alarm terminal by a remote control center; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
The above disclosure is only for the preferred embodiments of the present invention, but the present invention is not limited thereto, and any non-inventive changes that can be made by those skilled in the art and several modifications and amendments made without departing from the principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. The utility model provides a smart power grids management and control system which characterized in that includes:
the power grid fault parameter selection module is used for selecting various parameters which possibly cause the power grid to have faults according to the power grid big data platform, and the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values;
the fault parameter acquisition module is provided with an acquisition unit on a line or equipment, a timer is arranged in the acquisition unit, the acquisition sensor is controlled by the timer to periodically acquire fault parameters, and a fault parameter value variable taking a time sequence as an independent variable is formed in a sampling period; transmitting the fault parameter value variable to a remote control center;
the fault parameter analysis module is used for carrying out sample division on the obtained fault parameter value variable, carrying out trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value;
the remote control center sends alarm information to the alarm terminal; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
2. The smart grid management and control system according to claim 1, wherein in the grid fault screening module, parameters causing grid fault include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage, and user equipment current.
3. The smart grid management and control system according to claim 2, wherein the acquisition unit is configured with a GPS positioning chip; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time.
4. The intelligent power grid management and control system according to claim 3, wherein in the fault parameter analysis module, a moving average algorithm is adopted to perform trend calculation on the fault parameters.
5. A smart grid management and control method is characterized by comprising the following steps:
s1: selecting various parameters which possibly cause the power grid to have faults according to a power grid big data platform, wherein the selected parameters can judge that the corresponding line or equipment has faults when the selected parameters deviate from standard values;
s2: a step of acquiring fault parameters, which is to set an acquisition unit on a line or equipment, wherein the acquisition unit is provided with a timer, control an acquisition sensor to periodically acquire the fault parameters through the timer, and form a fault parameter value variable taking a time sequence as an independent variable in a sampling period; transmitting the fault parameter value variable to a remote control center;
s3: analyzing fault parameters, namely performing sample division on the obtained fault parameter value variable, performing trend measurement and calculation on the divided fault parameter value variable sample, and alarming when the measured and calculated data deviates from the fault data standard value;
s4: alarming, namely sending alarm information to an alarm terminal by a remote control center; and assigning a maintenance worker to carry out overhaul treatment by the alarm terminal closest to the fault occurrence place.
6. The smart grid management and control method according to claim 5, wherein in the grid fault parameter screening step, the parameters causing the grid fault include: power transmission line power, power transmission line voltage, power transmission line current, user equipment power, user equipment voltage, and user equipment current.
7. The smart grid management and control method according to claim 6, wherein in the step of acquiring the fault parameters, a GPS positioning chip is configured in the acquisition unit; when the acquisition unit uploads the acquired fault parameters, the GPS positioning chip uploads the acquired position information to the remote control center at the same time.
8. The smart grid management and control method according to claim 7, wherein in the fault parameter analysis step, a moving average algorithm is used to perform trend calculation on the fault parameters.
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| CN202010109143.1A CN111245097A (en) | 2020-02-21 | 2020-02-21 | Intelligent power grid management and control system and method |
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| CN202010109143.1A CN111245097A (en) | 2020-02-21 | 2020-02-21 | Intelligent power grid management and control system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113283621A (en) * | 2021-07-21 | 2021-08-20 | 金华八达集团有限公司科技信息分公司 | Parameter processing method based on virtual prism coordinate transformation |
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| CN106127347A (en) * | 2016-06-27 | 2016-11-16 | 华南理工大学 | Consider the regional power grid accident load loss predictor method of voltage character of load |
| CN110378492A (en) * | 2019-05-28 | 2019-10-25 | 长春电力设计有限公司 | A method of reinforcing the control of distribution net equipment O&M |
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- 2020-02-21 CN CN202010109143.1A patent/CN111245097A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105375982A (en) * | 2015-11-24 | 2016-03-02 | 国家电网公司 | Ethernet passive optical network failure prejudging method of smart distribution network system |
| CN106127347A (en) * | 2016-06-27 | 2016-11-16 | 华南理工大学 | Consider the regional power grid accident load loss predictor method of voltage character of load |
| CN110378492A (en) * | 2019-05-28 | 2019-10-25 | 长春电力设计有限公司 | A method of reinforcing the control of distribution net equipment O&M |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113283621A (en) * | 2021-07-21 | 2021-08-20 | 金华八达集团有限公司科技信息分公司 | Parameter processing method based on virtual prism coordinate transformation |
| CN113283621B (en) * | 2021-07-21 | 2021-10-08 | 金华八达集团有限公司科技信息分公司 | Parameter processing method based on virtual prism coordinate transformation |
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Application publication date: 20200605 |