CN110932399B - Intelligent switch regulation and control method and system for power grid, storage medium and terminal - Google Patents
Intelligent switch regulation and control method and system for power grid, storage medium and terminal Download PDFInfo
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- CN110932399B CN110932399B CN201911192601.6A CN201911192601A CN110932399B CN 110932399 B CN110932399 B CN 110932399B CN 201911192601 A CN201911192601 A CN 201911192601A CN 110932399 B CN110932399 B CN 110932399B
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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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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
Abstract
The invention discloses a method, a system, a storage medium and a terminal for regulating and controlling an intelligent switch of a power grid, wherein the method for regulating and controlling the intelligent switch of the power grid comprises the following steps: establishing connection of all intelligent switches in a power grid; acquiring state parameters of all intelligent switches, wherein the intelligent switches are network nodes of the power grid; taking the state parameters as operation objects, and carrying out iterative operation on the operation objects by utilizing an evolutionary algorithm to obtain optimal or suboptimal state parameters; and regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter. The method can quickly and accurately determine the optimal or suboptimal power grid intelligent switch configuration scheme, find the optimal or suboptimal power grid path, enable complex power grid systems to be simply and quickly regulated and controlled, greatly save manpower and power consumption and save resource cost.
Description
Technical Field
The invention relates to the field of intelligent control of a power grid switch, in particular to a method, a system, a storage medium and a terminal for regulating and controlling the intelligent switch of a power grid.
Background
Because the intelligent switch sensor network is large in scale, is influenced by external environment and burst factors, and has large uncertainty, the problem that the intelligent switch sensor network is reconstructed aiming at a specific power distribution task to ensure that the paths of a target power grid are communicated and are optimal is always a difficult point.
The traditional intelligent switch sensor network belongs to a non-bionic conventional networking method, and the traditional software development method cannot imitate the optimized solution and intelligent search capability of biological evolution, so that the weak link of the intelligent switch sensor network can cause irreparable great loss in a complex and changeable power grid environment.
Disclosure of Invention
Objects of the invention
The invention aims to provide an intelligent switch regulation and control method, system, storage medium and terminal of a power grid so as to solve the technical problem that the optimal path of the power grid is difficult to find.
(II) technical scheme
In order to solve the above problem, a first aspect of the present invention provides a method for regulating and controlling an intelligent switch of a power grid, including: establishing connection of all intelligent switches in a power grid; acquiring state parameters of all intelligent switches, wherein the intelligent switches are network nodes of the power grid; taking the state parameters as operation objects, and carrying out iterative operation on the operation objects by utilizing an evolutionary algorithm to obtain optimal or suboptimal state parameters; and regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter.
Further, the establishing of the connection of all the intelligent switches in the power grid is as follows: and establishing LoRa communication connection of all intelligent switches in the power grid.
Further, the state parameters include: the intelligent switch comprises network connection data, voltage data, current data, temperature data, humidity data, spring pressure data in the intelligent switch and magnetic force data of a magnet of the intelligent switch.
Further, the iterative operation sequentially comprises the following operations; carrying out mutation operator operation; performing crossover operator operation; and optimizing and selecting operator operation.
According to another aspect of the present invention, there is provided a smart switching regulation system of a power grid, including: the connection module is used for establishing the connection of all intelligent switches in the power grid; the acquisition module is used for acquiring state parameters of all the intelligent switches, wherein the intelligent switches are network nodes of the power grid; the evolution operation module is used for taking the state parameters as operation objects, and performing iterative operation on the operation objects by using an evolution algorithm to obtain optimal or suboptimal state parameters; and the regulation and control module is used for regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter.
Further, the connection module is an LoRa communication device for establishing LoRa communication connection of all intelligent switches in the power grid
Further, the obtaining module comprises: the network monitoring unit is used for acquiring a network connection state and configuration data; a voltage sensor unit for acquiring voltage data; a current sensor unit for acquiring current data; a temperature sensor unit for acquiring temperature data; a humidity sensor unit for acquiring humidity data; the pressure sensor unit is used for acquiring pressure data of a spring in the intelligent switch; and the magnetic field sensor unit is used for acquiring magnetic force data of the intelligent switch magnet.
Further, the evolutionary computing module includes: a mutation operator unit for performing mutation operator operations; the crossover operator unit is used for executing crossover operator operation; and the optimization selection operator unit is used for executing the optimization selection operator operation.
According to a further aspect of the present invention, there is provided a computer storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of the method of any one of the above-described aspects.
According to a further aspect of the present invention, there is provided a terminal comprising a memory, a display, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the above aspects when executing the program.
(III) advantageous effects
The technical scheme of the invention has the following beneficial technical effects:
the method and the system can quickly and accurately determine the optimal or suboptimal power grid intelligent switch configuration scheme and find the optimal or suboptimal power grid path, so that a complex power grid system can be simply and quickly regulated and controlled, manpower and power loss are greatly saved, and resource cost is saved.
Drawings
Fig. 1 is a flow chart of a method for intelligent switching regulation of an electrical grid according to a first embodiment of the invention;
FIG. 2 is a schematic diagram of a power grid intelligent switch regulation system according to an alternative embodiment of the present invention;
fig. 3 is a flowchart of power grid smart switch evolutionary computation and regulation according to an alternative embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in fig. 1, in a first aspect of the embodiment of the present invention, there is provided a method for regulating and controlling an intelligent switch of a power grid, including:
s1: establishing connection of all intelligent switches in a power grid;
s2: acquiring state parameters of all intelligent switches, wherein the intelligent switches are network nodes of the power grid;
s3: taking the state parameters as operation objects, and carrying out iterative operation on the operation objects by utilizing an evolutionary algorithm to obtain optimal or suboptimal state parameters;
s4: and regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter.
The embodiment can quickly and accurately determine the optimal or suboptimal power grid intelligent switch configuration scheme and find the optimal or suboptimal power grid path, so that a complex power grid system can be simply and quickly regulated and controlled, manpower and power loss are greatly saved, and resource cost is saved.
Optionally, the establishing of the connection of all the intelligent switches in the power grid is as follows: and establishing LoRa communication connection of all intelligent switches in the power grid.
Optionally, the status parameters include: the intelligent switch comprises network connection data, voltage data, current data, temperature data, humidity data, spring pressure data in the intelligent switch and magnetic force data of a magnet of the intelligent switch.
Optionally, the iterative operation sequentially includes the following operations; carrying out mutation operator operation; performing crossover operator operation; and optimizing and selecting operator operation.
In another aspect of the embodiments of the present invention, there is provided an intelligent switch regulation and control system for a power grid, including: the connection module is used for establishing the connection of all intelligent switches in the power grid; the acquisition module is used for acquiring state parameters of all the intelligent switches, wherein the intelligent switches are network nodes of the power grid; the evolution calculation module is used for taking the state parameters as operation objects and performing iterative operation on the operation objects by utilizing an evolution algorithm to obtain optimal or suboptimal state parameters; and the regulation and control module is used for regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter.
Optionally, the connection module is an LoRa communication device, and is used for establishing LoRa communication connection of all intelligent switches in the power grid
Optionally, the obtaining module includes: the network monitoring unit is used for acquiring a network connection state and configuration data; a voltage sensor unit for acquiring voltage data; a current sensor unit for acquiring current data; a temperature sensor unit for acquiring temperature data; a humidity sensor unit for acquiring humidity data; the pressure sensor unit is used for acquiring pressure data of a spring in the intelligent switch; and the magnetic field sensor unit is used for acquiring magnetic force data of the intelligent switch magnet.
Optionally, the evolutionary computation module includes: a mutation operator unit for performing mutation operator operations; the crossover operator unit is used for executing crossover operator operation; and the optimization selection operator unit is used for executing the optimization selection operator operation.
In a further aspect of the embodiments of the present invention, there is provided a computer storage medium having a computer program stored thereon, the program, when executed by a processor, implementing the steps of the method of any one of the above embodiments.
In a further aspect of the embodiments of the present invention, there is provided a terminal, including a memory, a display, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the above embodiments when executing the program.
In an optional embodiment, a self-designed intelligent switch sensor network is provided, and the embodiment constructs an intelligent switch sensor network optimized based on an evolutionary algorithm according to the following steps.
1. Intelligent switch sensor network based on evolutionary algorithm optimization
The intelligent switch sensor network optimized based on the evolutionary algorithm has certain optimization solving, intelligent searching and learning capabilities, and is established on the basis of a wireless ad hoc network and the evolutionary algorithm, as shown in fig. 2. The intelligent switch sensor network optimized based on the evolutionary algorithm is composed of intelligent switch network nodes provided with a plurality of sensors, each network node is formally expressed as a DNA chromosome, and evolutionary network iteration operation is carried out according to a mutation operator, a crossover operator and an optimization selection operator.
The mutation operator is an operator for mutating local DNA of individual DNA chromosomes in the intelligent switch sensor network, so that the diversity of the individuals is increased, and the coverage of random search of the intelligent switch sensor network distribution network scheme is wide enough.
The crossover operator is an operator for DNA data sharing and transformation between two DNA chromosomes in the intelligent switch sensor network, is used for expanding the correlation expansion search among a plurality of individuals and improving the efficiency and diversity of intelligent search.
The optimization selection operator is used for carrying out priority evaluation and sequencing on existing individuals and newly generated individuals in the current population of the intelligent switch sensor network, preferentially selecting the best individual, eliminating the last inferior individual, updating the population of individuals and realizing iterative evolutionary calculation and optimization of the distribution network scheme of the intelligent switch sensor network.
The evolutionary algorithm of the intelligent switch sensor network is a core algorithm for realizing the optimization of the distribution network structure and parameters of the intelligent switch sensor network, as shown in fig. 3.
2. Constructing intelligent switch sensors
When a hardware module of the intelligent switch sensor network optimized based on the evolutionary algorithm is constructed, necessary intelligent switch sensors are constructed firstly, wherein the necessary intelligent switch sensors comprise a voltage sensor, a current sensor, a temperature sensor, a humidity sensor, a pressure sensor and a magnetic field sensor.
The voltage sensor senses voltage data of the intelligent switch and is used for detecting the power supply state and distribution network parameters of the intelligent switch; the current sensor senses current data of the intelligent switch and is used for detecting the power supply current of the intelligent switch and parameters of a distribution network; the temperature sensor senses the temperature of the intelligent switch, is used for detecting the working stability of the intelligent switch and provides parameter estimation values for the distribution network; the humidity sensor senses the humidity of the intelligent switch, is used for detecting the working stability of the intelligent switch and provides parameter estimation values for the distribution network; the pressure sensor senses the spring pressure of the intelligent switch, is used for detecting the working stability and the service life of the intelligent switch and provides parameter estimation values for the distribution network; the magnetic field sensor senses the magnetic force of the magnet of the intelligent switch, is used for detecting the working stability of the intelligent switch and provides parameter estimation for a distribution network.
3. Constructing LoRa communication devices
The LoRa communication equipment is a main tool for mutual wireless networking communication among the intelligent switches with the sensors, connects all the intelligent switch embedded systems together, and establishes external connection with a special power grid.
The invention aims to protect an intelligent switch regulation and control method of a power grid, which comprises the following steps: establishing connection of all intelligent switches in a power grid; acquiring state parameters of all intelligent switches, wherein the intelligent switches are network nodes of the power grid; taking the state parameters as operation objects, and carrying out iterative operation on the operation objects by utilizing an evolutionary algorithm to obtain optimal or suboptimal state parameters; and regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter. The method can quickly and accurately determine the optimal or suboptimal power grid intelligent switch configuration scheme, find the optimal or suboptimal power grid path, enable complex power grid systems to be simply and quickly regulated and controlled, greatly save manpower and power consumption and save resource cost.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (4)
1. An intelligent switch regulation and control method of a power grid is characterized by comprising the following steps:
establishing connection of all intelligent switches in a power grid;
acquiring state parameters of all intelligent switches, wherein the intelligent switches are network nodes of the power grid;
taking the state parameters as operation objects, and carrying out iterative operation on the operation objects by utilizing an evolutionary algorithm to obtain optimal or suboptimal state parameters;
regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter;
the iterative operation comprises the following operations in sequence;
performing mutation operator operation, wherein the mutation operator is an operator for mutation of local DNA of DNA chromosome individuals in the intelligent switch sensor network and is used for increasing the diversity of the individuals;
the method comprises the following steps of (1) carrying out crossover operator operation, wherein the crossover operator is an operator for carrying out DNA data sharing and transformation between two DNA chromosomes in an intelligent switch sensor network and is used for expanding correlation expansion search among a plurality of individuals;
the optimization selection operator is used for carrying out priority evaluation and sequencing on the existing individuals and newly generated individuals in the current population of the intelligent switch sensor network, preferentially selecting the best individual, and eliminating the last inferior individual for updating the individuals of the population;
the establishment of the connection of all the intelligent switches in the power grid is as follows:
establishing LoRa communication connection of all intelligent switches in the power grid;
the state parameters include: the intelligent switch comprises network connection data, voltage data, current data, temperature data, humidity data, spring pressure data in the intelligent switch and magnetic force data of a magnet of the intelligent switch.
2. An intelligent switch regulation and control system of a power grid is characterized by comprising:
the connection module is used for establishing the connection of all intelligent switches in the power grid;
the acquisition module is used for acquiring state parameters of all the intelligent switches, wherein the intelligent switches are network nodes of the power grid;
the evolution calculation module is used for taking the state parameters as operation objects and performing iterative operation on the operation objects by utilizing an evolution algorithm to obtain optimal or suboptimal state parameters;
the regulation and control module is used for regulating and controlling the intelligent switch according to the optimal or suboptimal state parameter;
the evolutionary computing module includes:
the mutation operator unit is used for executing mutation operator operation, and the mutation operator is an operator for mutating local DNA of the DNA chromosome individual in the intelligent switch sensor network and is used for increasing the diversity of the individual;
the crossover operator unit is used for executing crossover operator operation, and the crossover operator is an operator for DNA data sharing and transformation between two DNA chromosomes in the intelligent switch sensor network and is used for expanding correlation expansion search among a plurality of individuals;
the optimization selection operator unit is used for executing optimization selection operator operation, the optimization selection operator is used for carrying out priority evaluation and sequencing on the existing individuals and newly generated individuals in the current population of the intelligent switch sensor network, selecting the best individual preferentially, eliminating the last inferior individual and updating the individuals of the population;
the connection module is LoRa communication equipment and is used for establishing LoRa communication connection of all intelligent switches in a power grid;
the acquisition module includes:
the network monitoring unit is used for acquiring a network connection state and configuration data;
a voltage sensor unit for acquiring voltage data;
a current sensor unit for acquiring current data;
a temperature sensor unit for acquiring temperature data;
a humidity sensor unit for acquiring humidity data;
the pressure sensor unit is used for acquiring pressure data of a spring in the intelligent switch; and
and the magnetic field sensor unit is used for acquiring magnetic force data of the intelligent switch magnet.
3. A computer storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method as claimed in claim 1.
4. A terminal comprising a memory, a display, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of claim 1 when executing the program.
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