CN107341600A - A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station - Google Patents

A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station Download PDF

Info

Publication number
CN107341600A
CN107341600A CN201710491829.XA CN201710491829A CN107341600A CN 107341600 A CN107341600 A CN 107341600A CN 201710491829 A CN201710491829 A CN 201710491829A CN 107341600 A CN107341600 A CN 107341600A
Authority
CN
China
Prior art keywords
energy
base station
mode base
queue
power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710491829.XA
Other languages
Chinese (zh)
Inventor
邓清勇
曹家盛
李哲涛
秦井霞
田淑娟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiangtan University
Original Assignee
Xiangtan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiangtan University filed Critical Xiangtan University
Priority to CN201710491829.XA priority Critical patent/CN107341600A/en
Publication of CN107341600A publication Critical patent/CN107341600A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
    • 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 present invention proposes a kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station.The multi-mode base station system model of multiple-energy-source power supply is constructed first, and wherein multiple-energy-source includes renewable new energy, battery and power network；Next establishes the queue of data communications task energy requirement, battery virtual queue, latency sensitive virtual queue model；Then spent with minimizing electric power purchase in average time as optimization aim, using the Lyapunov principles of optimality, optimization object function is obtained by " drift+penalty function "；Finally solved using linear programming method, draw the online energy and load dispatch strategy.The present invention is applied to multiple-energy-source Multi-Mode Base Station, and electric power purchase is minimized under the constraints for meeting telecommunication service quality and is spent, realization utilizes new energy as far as possible, reaches the purpose of energy-conservation；Communication task amount, electricity price and the renewable new energy output of time-varying need not be predicted simultaneously, it is simple and practical.

Description

A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station
Technical field
Present invention relates generally to wireless communication field, is related specifically to load of base station scheduling and base station energy-saving field.
Background technology
With technology of Internet of things and 5G development, on the one hand, communication base station demand sharply increases, and is emerged in large numbers in cellular network big The isomery base station of amount and Multi-Mode Base Station；On the other hand, energy consumption problem becomes increasingly conspicuous, and predicts to the year two thousand thirty, ICT (ICT) energy consumption brought is up to 1700Twh, wherein, the energy consumption of base station turns into major part in cellular network.Therefore, such as What reduces the energy expenditure of cellular network, realizes that green communications have become current study hotspot.Traditional reduction Cellular Networks The method of network energy consumption has following several：When realize the open and close of base station according to traffic loads or start dormancy mould Formula；Second, dynamic adjusts the coverage of each base station in cellular network；Third, using the frequency spectrum dynamically distributes between more base stations；Fourth, Mobile state management is entered to the Internet resources under single base station.Meanwhile introduce renewable new energy and solve the problems, such as base station energy consumption increasingly Attract people's attention.
The content of the invention
Main study a question of the invention is the online load dispatch side for the multiple-energy-source Multi-Mode Base Station for introducing renewable new energy Method, minimizes electric power purchase cost under the constraints for meeting telecommunication service quality, and realization utilizes new energy, reached as far as possible To the purpose of energy-conservation.Main contents are divided into following four step：
Step 1, establish the Multi-Mode Base Station energy and model of communication system powered by multiple-energy-source.
Step 2, establish the queue of data communications task energy requirement, battery virtual queue, the virtual queue mould of latency sensitive Type.
Step 3, according to Spot Price, data communications task amount and new energy output value, using Lyapunov optimization methods Load dispatch is realized, is meeting under delayed tasks maximum delay constraints base station communication electric power buying expenses can be made minimum.
Step 4, according to step 3 by solving linear programming problem, draw online load dispatching method.
Brief description of the drawings
Fig. 1 is the multi-mode base station system illustraton of model of multiple-energy-source power supply.
Fig. 2 is system call illustraton of model.
Fig. 3 be Communication power buying expenses and average delay withVariation diagram, take。
Fig. 4 be Communication power buying expenses and average delay withVariation diagram, take。
Fig. 5 is the base station energy consumption contrast under Different Strategies.
Embodiment
Step 1, establish the multi-mode base station system model powered by multiple-energy-source.
The present invention constructs a Multi-Mode Base Station model powered by multiple-energy-source, including various energy resources power supply and a variety of communications Pattern accesses, as shown in Figure 1.It is (local that many of energy power supply includes power network power supply, storage battery power supply and renewable new energy Wind light mutual complementing power generation station) power supply.Because wind light mutual complementing power generation station is the self-built local power station in base station, belong to cost category, institute In putting aside that electric power is spent, it is only necessary to which the electric power considered from power network purchase is spent.The base station energy in the present invention uses The form of interconnection, can be the electric energy supply base station operation obtained at the various energy.Multi-Mode Base Station model includes existing logical Believe access module 2G, 3G and 4G, traffic load is based on lining up mode communication under each pattern.
Step 2, the virtual queue mould for establishing the queue of data communications task energy requirement, battery virtual queue and latency sensitive Type.
1）Data communications task energy requirement queuing model
The total power consumption of one cellular basestationIt can regard as and be made up of two parts, such as formula（1）It is shown：
（1）
WhereinWhat is represented is the power for powering with air-conditioning, belongs to fixed energies consumption part.It is base station and user The transmission power of communication, belong to real-time variable part,It is related and linear to instant messaging load, it is expressed as：
（2）
WhereinIt is the traffic load factor of base station, value is between [0,1]；It is the idle basal energy expenditure in base station.
Data communications task energy requirement can be drawn by deriving, therefore have：
（3）
WithCorrespond to respectively in time slottOng The power demand of queue overstocks, can prolonged When task power distribution and can delayed tasks power demand.
2）Battery virtual queue model
Base station storage batteries are used for emergency power supply situation, such as power failure or electric power deficiency.Simultaneously also can gently new energy it is defeated What is gone out is unstable, realizes reliable power supply.Represent accumulator capacity,The minimum electricity that battery must be retained is represented, To tackle emergency.Represent time slottThe electricity of upper battery,Represent time slottThe charge volume of upper batteryOr discharge capacity, then have：
（4）
Maximum chargeable speed or maximum in the unit time slot that different battery varieties is allowed can discharge rate be different , useMaximum chargeable speed is represented, is usedRepresent that maximum can discharge rate.Therefore can obtain another onPact Beam condition：
（5）
For the battery capacity constraint that relaxes, virtual queue is introduced。
（6）
3）Load dispatch model
Base station communication load dispatch model minimizes base station power purchase as shown in Fig. 2 in the case where ensuring that communication queue is stable The time average of buy sheet, it is therefore desirable to be in the decision-making that each time slot is made：1）Each can delayed tasks queue needed Into task amount, so as to the electricity that need to be bought from power network in calculating；2）Electric charge needed for battery（Or needed for battery Discharge capacity）, therefore shown in optimization aim such as formula (7)：
（7）
Subject to: （8）
（9）
（10）
WhereinIt is the output energy of regenerative resource in unit time slot,It is the average length of queue, It is the average treatment speed of queue（That is the average minimizing speed of queue）,It is the processing time of g queue tasks.
4）The virtual queue model of latency sensitive
In order to ensure the stability of queue, virtual queue is introduced：
（11）
What is represented is queue in unit time slotgIn also exist without complete can delayed tasks when penalty factor,.
Step 3, the energy and load on-line optimizing scheduling are carried out using Lyapunov optimization methods.
Define Lyapunov functions such as formula（12）：
（12）
Therefore condition Lyapunov, which drifts about, is：
（13）
WhereinIt is state vector。Value to need on unit time slot The charge value to be bought from power network, therefore, while consider the growth that electric power purchase is spent and energy requirement overstocks, target letter can be obtained Number is such as formula（14）：
（14）
Step 4, linear programming problem is solved, draw online load dispatching method.
1）On-line optimization
The first step：Optimization
（15）
WhereinIt is observation variable,It is decision variable.
Second step：Renewal
（16）
2）On-line scheduling：
Due toAll it is Real-time monitored value, then can be with wushu（15）Become a kind of Simpler form goes to solve：
（17）
Solved by using linear programming method, draw scheduling strategy resultWith。
When can be seen that by simulation result Fig. 3 and Fig. 4 near η=100, v=120, be communication queue average delay with The equalization point that electric power purchase is spent, therefore η is set to 100, v to be set to 120 the most suitable.
When can be seen that the method for the present invention compared to no introducing new energy and without scheduling strategy by simulation result Fig. 5 Reduce respectively and spend 68.63% and 31.64%.

Claims (4)

1. a kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station, it is characterised in that methods described comprises at least following step Suddenly：
Step 1, multiple-energy-source power supply Multi-Mode Base Station model under, including various energy resources power supply and plurality of communication schemes access；Its Middle various energy resources power supply includes power network power supply, storage battery power supply and renewable new energy (local color complementary power station) power supply, Can be the electric energy supply base station operation obtained at various energy resources；Multi-Mode Base Station model includes existing communication access mode 2G, 3G and 4G, traffic load is communicated based on lining up mode under each pattern；
Step 2, the multi-mode base station system model according to step 1, establish the queue of data communications task energy requirement, the virtual team of battery The virtual queue model of row and latency sensitive；
Step 3, the queuing model with reference to step 2, according to Spot Price, data communications task amount and new energy output value, use Lyapunov methods build optimization object function, are meeting that base station communication electric power can be made under delayed tasks maximum delay constraints Buying expenses is minimum；
Step 4, dissolve optimization object function according to step 3, solution linear programming problem, draw online load dispatching method.
2. the energy and load dispatching method of multiple-energy-source Multi-Mode Base Station according to claim 1, it is characterised in that described Multiple-energy-source multi-mode base station system model is at least further comprising the steps of：
1）Wind light mutual complementing power generation station is the self-built local power station in base station, belongs to cost category, in putting aside that electric power is spent, The electric power only considered from power network purchase is spent；
2）Energy supplementary form using distributed type renewable new energy as base station, can largely reduce network load needs Ask, at utmost using renewable resource, reduce CO2Discharge；
3）The base station energy uses Join Shape, and battery charging only considers grid charging, does not consider that regenerative resource charges.
3. the energy and load dispatching method of multiple-energy-source Multi-Mode Base Station according to claim 1, it is characterised in that described Data communications task energy requirement queue is at least further comprising the steps of：
1）The data communications task of base station can be divided into can delayed tasks and can not two kinds of delayed tasks；
2）In base station can the maximum delay of delayed tasks queue maximum be present.
4. the energy and load dispatching method of multiple-energy-source Multi-Mode Base Station according to claim 1, it is characterised in that described Scheduling model should at least comprise the following steps：
1）Calculate the instant electricity needed from power network purchase；
2）The instant charge volume or discharge capacity that calculating accumulator needs；
3）Calculate the task amount that can each need in delayed tasks queue unit time slot to complete.
CN201710491829.XA 2017-06-20 2017-06-20 A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station Pending CN107341600A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710491829.XA CN107341600A (en) 2017-06-20 2017-06-20 A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710491829.XA CN107341600A (en) 2017-06-20 2017-06-20 A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station

Publications (1)

Publication Number Publication Date
CN107341600A true CN107341600A (en) 2017-11-10

Family

ID=60221644

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710491829.XA Pending CN107341600A (en) 2017-06-20 2017-06-20 A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station

Country Status (1)

Country Link
CN (1) CN107341600A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110120667A (en) * 2019-05-07 2019-08-13 华北电力大学（保定） For reducing the renewable energy of energy cost and the distribution method of traditional energy

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110120667A (en) * 2019-05-07 2019-08-13 华北电力大学（保定） For reducing the renewable energy of energy cost and the distribution method of traditional energy

Similar Documents

Publication Publication Date Title
Pamuklu et al. Reinforcement learning based dynamic function splitting in disaggregated green open RANs
CN105870950B (en) A kind of multi-objective coordinated system of the adjustable resource of intelligent building and optimal control method
CN107482766B (en) Electric power system dispatching method based on data network and electric power networks interaction operation
Lee et al. Online ski rental for ON/OFF scheduling of energy harvesting base stations
Liu et al. Profit-driven user association and smart grid energy transfer in green cellular networks
CN113471959A (en) Multi-platform-area flexible interconnection control method and system based on platform-area intelligent fusion terminal
CN104158187A (en) Control method and system for secondary allocation of local power grid energy and power
CN105956693B (en) A kind of virtual plant economic load dispatching method based on distributed gradient algorithm
CN109041162B (en) WSN (Wireless sensor network) non-uniform topology control method based on potential game
Piovesan et al. Joint load control and energy sharing for autonomous operation of 5G mobile networks in micro-grids
CN113766573A (en) Base station energy storage facility adjustable capacity evaluation method considering load balance and standby
CN107341600A (en) A kind of energy and load dispatching method of multiple-energy-source Multi-Mode Base Station
Hu et al. Green relay station assisted cell zooming scheme for cellular networks
Qiao et al. Multiple time-scale energy scheduling with energy harvesting aided heterogeneous cloud radio access networks
CN111047227B (en) Robust energy scheduling method based on two-stage energy and service space-time matching
CN107995034A (en) A kind of dense cellular network energy and business collaboration method
CN114529220A (en) Multi-station fusion economic dispatching method considering energy storage dynamic dispatching capacity
Li et al. Joint energy cooperation and resource allocation in C-RANs with hybrid energy sources
Tala't et al. A survey: Green energy for cellular base station and small cell
CN116050661B (en) 5G base station and power grid collaborative scheduling method based on master-slave game
Wang et al. Cooperative Self-Organized Energy-Saving Mechanism of Cellular Network Based on Hybrid Energy Supplies
Ma et al. Green Base Station Battery Dispatchable Capacity Modeling and Optimization
Lin et al. Cost efficient power allocation, user association and energy management in H-CRAN with hybrid energy sources
CN115149550A (en) 5G fusion power distribution network online energy storage scheduling method and system considering standby power reliability
CN113991716B (en) Operation control method of lithium battery energy storage system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20171110