CN114928848B - 5G network deployment method in distributed power supply management and control system - Google Patents
5G network deployment method in distributed power supply management and control system Download PDFInfo
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- CN114928848B CN114928848B CN202210504682.4A CN202210504682A CN114928848B CN 114928848 B CN114928848 B CN 114928848B CN 202210504682 A CN202210504682 A CN 202210504682A CN 114928848 B CN114928848 B CN 114928848B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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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 5G network deployment method in a distributed power supply management and control system considering power supply stability and cost, which comprises the following steps: firstly, basic information such as distributed photovoltaic and base station candidate positions in a power system is obtained; secondly, analyzing and determining a 5G base station deployment scheme; constructing a 5G network deployment problem model based on economy and network coverage balance principles; and finally, solving the model through an intelligent optimization algorithm to realize the optimal configuration of the 5G network. According to the invention, the optimal deployment position of the machine room is determined through data analysis, and the storage battery pack with a certain capacity is configured, so that the power supply reliability of the network is improved; the 5G network deployment optimization model is completed by considering economical efficiency and network coverage effect balancing principle, and the application of the 5G technology is realized through an intelligent algorithm.
Description
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to a 5G network deployment method in a distributed power supply management and control system.
Background
The green technology innovation system for constructing market guidance develops green finance, and the energy-saving and environment-friendly industry, the clean production industry and the clean energy industry are greatly increased. The energy production and consumption revolution is promoted, and a clean, low-carbon, safe and efficient energy system is constructed. In recent years, distributed power supplies have a blowout type development trend, the photovoltaic permeability is higher and higher, and meanwhile, the feeder trend is reversed, the problem of local overvoltage is successively generated, and the power supply safety is affected. The distributed photovoltaic power supply is introduced into the distributed photovoltaic control device, a control system taking the distributed photovoltaic control device as a core is established, the coverage depth of a communication network can be effectively extended, and the group control level of the distributed power supply is improved. The operation of the distributed photovoltaic control system requires that the high-efficiency communication power network can monitor the whole operation state of the distributed power supply in real time, and meanwhile, the operation state of the distributed power supply is analyzed and judged in time through perspective data.
After the 5G license plate is issued, the 5G communication technology has entered a rapid development period, and compared with 4G communication, the 5G communication is far and ahead in bandwidth, time delay, capacity and other performances, and the 5G communication has shown great value in other fields such as medical treatment, unmanned driving, internet of vehicles and the like; the national network company shall develop 5G application work according to the principle of 'test point advance and orderly advance'. The efficient and stable communication network is an important basis for guaranteeing the operation of the distributed management and control system, and 4G communication cannot meet the explosive growth photovoltaic communication demand to a certain extent. Based on business requirements and prospective principles, the distributed management and control system can access 5G communication technology. However, 5G has the advantages of small coverage radius, high cost, serious equipment heating, equipment failure easily caused by high temperature, and the like, and stable power input is a precondition of normal operation of a network. Therefore, how to consider the power supply stability and the economical principle has important practical significance and engineering practical value in realizing the 5G network deployment work in the distributed photovoltaic grid-connected area.
Disclosure of Invention
Aiming at the problems, the invention provides a 5G network deployment method in a distributed power supply management and control system, which considers the power supply stability and the cost, determines the optimal deployment position of a machine room through data analysis, and configures a storage battery pack with a certain volume, thereby improving the power supply reliability of the network; the 5G network deployment optimization model is completed by considering the economic efficiency and the network coverage effect balance principle, the application landing of the 5G technology is realized through an intelligent algorithm, the distributed power supply management and control technology is stably ensured, a series of problems of low acquisition rate, feeder line tide pouring, local overvoltage and the like are solved, and the method has important academic significance and engineering practical value.
In order to achieve the above object, the present invention is realized by the following technical scheme:
the invention relates to a 5G network deployment method in a distributed power supply management and control system,
step 1, obtaining information, analyzing to obtain C-RAN machine room construction candidate points, and configuring a storage battery pack;
step 2, analyzing and determining a 5G base station deployment scheme;
step 3, completing the construction of a 5G network deployment problem model based on economy and network coverage balance principles;
and 4, solving the network model through an intelligent optimization algorithm to realize the optimal configuration of the 5G network.
The invention further improves that: in the step 1, the historical power failure record of the obtained base station candidate position points is analyzed, the position points with stable power supply are screened out, the position points are used as C-RAN machine room construction candidate points, and a storage battery pack with a certain capacity is configured according to the load.
The invention further improves that: let m= {1,2, … M } be the candidate 5G base station construction position, k= {1,2, … K } be the C-RAN machine room candidate construction position, where K is less than or equal to M, defining the following function:
the invention further improves that: in the step 2, the deployment cost of the 5G base station is analyzed, and the cost is divided into the construction cost of the base station, the cost of the AAU remote optical fiber and the construction cost of a machine room, wherein the total cost of the 5G base station deployment is as follows:
wherein a is i For the construction cost of the ith machine room, b i The construction cost of the ith base station is c is the cost of laying 1 meter of optical fiber, D i Is M i The distance for optical fiber communication is paved in the machine room.
The invention further improves that: in the step 3, the construction of the 5G network deployment problem model is specifically as follows: let l= {1,2, …, L } be the set of distributed photovoltaic terminals, and the coverage radius of the 5G base station is R, then define:
wherein S is ij The distance from the ith terminal to the j base station;
the 5G base station deployment optimization problem is as follows:
the beneficial effects of the invention are as follows:
1. the candidate positions of the electric power 5G machine room are determined through historical data analysis, so that the stability of the electric power communication network is improved;
2. the electric power 5G deployment model is not pursued with lowest cost, the reliability of a machine room is firstly met by the model, then a deployment scheme is output through an optimization algorithm, and the electric power 5G base station deployment cost is lower on the premise of meeting coverage rate and reliability in a distributed power system.
Drawings
FIG. 1 is a distributed power management and control system of the present invention;
fig. 2 is a power 5G base station deployment scenario of the present invention.
Detailed Description
The technical scheme of the patent is further described in detail below with reference to the specific embodiments.
As shown in fig. 1-2, the invention relates to a 5G network deployment method in a distributed power management and control system, which comprises the following specific steps:
step 1, acquiring candidate position point information of distributed photovoltaic control equipment and deployable power 5G base stations in an area, screening out position points with stable power supply by analyzing historical power failure records of the candidate position points, and configuring a storage battery pack with certain capacity according to a load, wherein stable input of a power supply of a machine room can be ensured on a certain degree.
And 2, analyzing and determining a 5G base station deployment scheme.
In the traditional power 4G base station network, each base station BBU and RRU are basically located at the same position point, one BBU is communicated with three RRUs, BBUs of different base stations are independently deployed and are respectively located at different positions, and the communication network fault system is extremely inconvenient to maintain. The 5G BBU has the properties of high power, easy heating and the like. In the invention, the 5G network adopts a C-RAN scheme, namely, the 5G BBU is intensively deployed in a machine room, the AAU is deployed in a remote mode, and high-power air conditioners are configured in the machine room to intensively dissipate heat of 5G network equipment.
And 3, completing the construction of the 5G network deployment problem model based on the economy and network coverage balance principle.
The deployment cost of the 5G base station can be divided into three parts according to the step 2, namely the construction cost of the base station, the cost of the AAU remote optical fiber, and the construction cost of a machine room.
Let M= {1,2, … M } be the candidate 5G base station construction position, K= {1,2, … K } be the C-RAN machine room candidate construction position, wherein K is less than or equal to M. Each location can be built with a base station or a machine room, M i ＝1，K i =1, respectively, represents the selected construction base station and machine room, defining the following functions:
assuming that the construction cost of each machine room is a, the construction cost of each base station is b, the cost of laying 1 m optical fiber is c, and the electric machine room can be configured with a preset number of BBUs and base stationsCommunicate with, M i The distance for paving optical fiber communication in machine room is D i Then the total cost of 5G base station deployment is:
the final goal of the base station deployment scheme is to meet certain coverage conditions so that costs are minimal. Let l= {1,2, …, L } be the set of distributed photovoltaic terminals, here assume that the coverage radius of the 5G base station is R, when the i-th terminal is at the distance S from the j base station ij When less than R, L i Is 1
The 5G base station deployment optimization problem is as follows:
and 4, selecting a proper optimization algorithm to solve an optimization model, and outputting a power 5G base station and a machine room deployment scheme by using the optimization algorithm, so that the application of the power 5G base station in a distributed management and control system is realized.
The distributed photovoltaic in the link is used for supplying power to the 5G base station of the operator, improving the backup power supply guarantee capability of the communication base station and assisting the 5G to complete deployment with the lowest cost, the maximum coverage and the like. The invention provides a 5G network deployment method in a distributed power management and control system, which has the following characteristics: the candidate positions of the electric power 5G machine room are determined through historical data analysis, so that the stability of the electric power communication network is improved; the electric power 5G deployment model is not pursued with lowest cost, the reliability of a machine room is firstly met by the model, then a deployment scheme is output through an optimization algorithm, and the electric power 5G base station deployment cost is lower on the premise of meeting coverage rate and reliability in a distributed power system.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and that although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which are intended to be covered by the scope of the claims.
Claims (1)
1. A5G network deployment method in a distributed power management and control system is characterized in that:
step 1, obtaining information, analyzing to obtain C-RAN machine room construction candidate points, and configuring a storage battery pack;
step 2, analyzing and determining a 5G base station deployment scheme;
step 3, completing the construction of a 5G network deployment problem model based on economy and network coverage balance principles;
step 4, solving the network model through an intelligent optimization algorithm to realize the optimal configuration of the 5G network;
step 1, analyzing the historical power failure record of the obtained base station candidate position points, screening out position points with stable power supply, taking the position points as C-RAN machine room construction candidate points, and configuring a storage battery pack with certain capacity according to a load;
Q＝H*I
wherein Q is the battery capacity; h is the requirement of endurance hours, and the unit is H; i is the current of communication equipment in a machine room, and the unit is A;
let M= {1,2, M } be the candidate 5G base station construction position, K= {1,2, K } be the C-RAN machine room candidate construction position, wherein K is less than or equal to M, define the following function:
in the step 2, the deployment cost of the 5G base station is analyzed, and the cost is divided into the construction cost of the base station, the cost of the AAU remote optical fiber and the construction cost of a machine room, wherein the total cost of the 5G base station deployment is as follows:
wherein a is i For the construction cost of the ith machine room, b i The construction cost of the ith base station is c is the cost of laying 1 meter of optical fiber, D i Is M i Paving an optical fiber communication distance in a machine room;
in the step 3, the construction of the 5G network deployment problem model is specifically as follows:
let l= {1,2, L } be the set of distributed photovoltaic terminals, and the coverage radius of the 5G base station is R, then define:
wherein S is ij The distance from the ith terminal to the j base station;
the 5G base station deployment optimization problem is as follows:
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109699033A (en) * | 2019-01-28 | 2019-04-30 | 国网江苏省电力有限公司电力科学研究院 | LoRa electric power Internet of Things base station deployment method and device towards cost and load balancing |
| CN114423013A (en) * | 2022-01-19 | 2022-04-29 | 国网河南省电力公司经济技术研究院 | 5G heterogeneous network base station deployment method facing power distribution network |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109699033A (en) * | 2019-01-28 | 2019-04-30 | 国网江苏省电力有限公司电力科学研究院 | LoRa electric power Internet of Things base station deployment method and device towards cost and load balancing |
| CN114423013A (en) * | 2022-01-19 | 2022-04-29 | 国网河南省电力公司经济技术研究院 | 5G heterogeneous network base station deployment method facing power distribution network |
Non-Patent Citations (1)
| Title |
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| 面向5G规模演进的C-RAN架构部署方案;黄小光;汪伟;赵品勇;;邮电设计技术(11);全文 * |
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