CN107734696A - Communication and energy scheduling exchange method and device - Google Patents
Communication and energy scheduling exchange method and device Download PDFInfo
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- CN107734696A CN107734696A CN201711080430.9A CN201711080430A CN107734696A CN 107734696 A CN107734696 A CN 107734696A CN 201711080430 A CN201711080430 A CN 201711080430A CN 107734696 A CN107734696 A CN 107734696A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/12—Wireless traffic scheduling
- H04W72/1263—Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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Abstract
The present invention provides a kind of communication and energy scheduling exchange method and device, applied to scheduling side apparatus.Methods described includes：According to the situation of change for the user side number of systems that demand response is participated in each time interval, dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes.Multi-user's demand response model is adjusted according to channel average packet loss ratio, obtains new multi-user's demand response model, solves new multi-user's demand response model, obtains the best electric price and optimal demand response performance indications.Thus, influenceed by the two-way interactive between considering energy and communicating, dynamically distributes can be carried out to channel, make data packetloss rate minimum, and multi-user's demand response model is adjusted according to packet loss and obtains the best electric price and optimal demand response performance indications.And then multi-user's demand response performance and communication performance are effectively lifted, stable electricity price, reduce user power utilization cost.
Description
Technical field
The present invention relates to electric and communication technical field, and exchange method is dispatched with energy in particular to one kind communication
And device.
Background technology
With the continuous propulsion of intelligent grid construction, Demand-side resource is coordinating power network peak load shifting, consumption renewable energy
The effect in source etc. is re-recognized, and its core feature is that the communication for dispatching side and user side can neatly be entered with energy
Row interaction, it is no longer single energy resource consumption part to make more electric power users, but more participates in dispatching of power netwoks.
Demand response (Demand Response, DR) refers to that power consumer is directed to the price signal of dispatching of power netwoks side issue
Or incentive mechanism responds, change itself consumption habit, reduce load peak period power consumption, support power network is reliable, efficiently,
The acts and efforts for expediency of economical operation, important strategy function is suffered to whole power industry and socio-economic development etc..Need
The realization of response is asked to be related to the collection and transmission of various power informations, this is necessarily required to the participation of communication equipment, communication quality
Height directly affect the performance of demand response.
In the prior art, user side with dispatch side two-way communication and energy transmission emulation testing do not consider communicate and
It is interactive between energy to influence.Packet loss typically will not occur in the channel of default transport data, or in the case of ignoring packet loss
Carry out, also, when carrying out channel distribution, do not account for the wish that electric power users participate in demand response, ignore participation demand
The situation that the number of users of response changes over time.Channel distribution does not carry out dynamic optimization, and user is in order to obtain to channel control
System power can sharp fight channel, the workload demands of electric power users, the new energy communication information such as contribute are easier to lose, on packet loss
Rise, cause multi-user's demand response hydraulic performance decline, electricity price rise, the increase of user power utilization cost.Meanwhile communication performance declines meeting shadow
Reasonable distribution of the power network to energy is rung, must increase communication equipment investment, increase communication to transmit substantial amounts of communication data
Cost.
The content of the invention
In order to overcome above-mentioned deficiency of the prior art, the present invention provides a kind of communication and energy scheduling exchange method and dress
Put, it carries out dynamically distributes by considering influence of the energy to communication, to channel, makes data packetloss rate minimum.Also, consider logical
Believe the influence to energy, multi-user's demand response model is adjusted according to the packet loss after optimization, to obtain the best electric price
With optimal demand response performance indications.The flexible interaction of scheduling side and user side can be achieved.
The first object of the present invention is that provide a kind of communication dispatches exchange method with energy, and methods described is applied to scheduling
Side apparatus, the scheduling side apparatus is communicated by the channel of cognitive radio and user's side system of participation demand response, described
Method includes：
According to the situation of change for the user side number of systems that demand response is participated in each time interval, action is entered to channel
State is distributed, and calculates the channel average packet loss ratio of each time interval after dynamically distributes；
Multi-user's demand response model is adjusted according to the channel average packet loss ratio, obtains new multi-user's demand
Response model, new multi-user's demand response model is solved, obtains the best electric price and optimal demand response performance indications.
The second object of the present invention is that provide a kind of communication dispatches interactive device with energy, and described device is applied to scheduling
Side apparatus, the scheduling side apparatus include the control unit that operation has EMS, and the scheduling side apparatus passes through cognition
The channel of radio and the user's side system communication for participating in demand response, described device include：
First processing module, for the change according to the user side number of systems that demand response is participated in each time interval
Situation, dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes；
Second processing module, for being adjusted according to the channel average packet loss ratio to multi-user's demand response model,
Obtain new multi-user's demand response model, solve new multi-user's demand response model, obtain the best electric price and optimal
Demand response performance indications.
In terms of existing technologies, the invention has the advantages that：
Present pre-ferred embodiments provide a kind of communication and energy scheduling exchange method and device, and methods described is applied to adjust
Side apparatus is spent, the scheduling side apparatus is communicated by the channel of cognitive radio and user's side system of participation demand response, institute
The method of stating includes：According to the situation of change for the user side number of systems that demand response is participated in each time interval, channel is entered
Mobile state distributes, and calculates the channel average packet loss ratio of each time interval after dynamically distributes.According to the average packet loss of the channel
Rate is adjusted to multi-user's demand response model, obtains new multi-user's demand response model, solves the new multi-user
Demand response model, obtain the best electric price and optimal demand response performance indications.Thus, by considering shadow of the energy to communication
Ring, dynamically distributes are carried out to channel, make data packetloss rate minimum.Also, influence of the communication to energy is considered, according to packet loss pair
Multi-user's demand response model is adjusted, to obtain the best electric price and optimal demand response performance indications.Scheduling side can be achieved
With the flexible interaction of user side, multi-user's demand response performance and communication performance are effectively lifted, stable electricity price, reduces user power utilization
Cost.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the block diagram for the intelligent grid that present pre-ferred embodiments provide.
Fig. 2 is the block diagram for the scheduling side apparatus that present pre-ferred embodiments provide.
Fig. 3 is the communication and the step flow chart of energy scheduling exchange method that first embodiment of the invention provides.
Fig. 4 is the sub-step flow chart of the step S110 shown in Fig. 3 that first embodiment of the invention provides.
Fig. 5 is the markovian schematic diagram of absorption that first embodiment of the invention provides.
Fig. 6 is the sub-step flow chart of the sub-step S114 shown in Fig. 4 that first embodiment of the invention provides.
Fig. 7 is one of step S120 sub-step flow chart shown in Fig. 3 that first embodiment of the invention provides.
Fig. 8 is the sub-step flow chart of the sub-step S121 shown in Fig. 7 that first embodiment of the invention provides.
Fig. 9 is the two of the sub-step flow chart of the step S120 shown in Fig. 3 that first embodiment of the invention provides.
Figure 10 is to participate in the bar chart that demand response number of users changes over time.
Figure 11 is to use static channel allocation and each self-corresponding packet loss comparison diagram of dynamic channel allocation.
Figure 12 is the packet situation bar chart in each time interval by dynamic channel allocation.
Figure 13 is the comparison diagram influenceed using static channel allocation and dynamic channel allocation on electricity price.
Figure 14 is to use the comparison diagram of static channel allocation and dynamic channel allocation to demand response performance impact.
Figure 15 is the communication and the functional block diagram of energy scheduling interactive device that second embodiment of the invention provides.
Icon：10- intelligent grids；100- dispatches side apparatus；110- memories；120- processors；130- mixed-media network modules mixed-medias；
200- communicates and energy scheduling interactive device；210- first processing modules；220- Second processing modules；300- user's side system；
350- renewable energy devices；400- cognitive radios；500- supply sides；600- electric lines and transformer station.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Generally herein
The component of the embodiment of the present invention described and illustrated in place's accompanying drawing can be configured to arrange and design with a variety of.Therefore,
The detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit the model of claimed invention below
Enclose, but be merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention, those of ordinary skill in the art are not having
There is the every other embodiment made and obtained under the premise of creative work, belong to the scope of protection of the invention.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.
Fig. 1 is refer to, Fig. 1 is the block diagram for the intelligent grid 10 that present pre-ferred embodiments provide.The intelligence
Power network 10 includes：Dispatch side apparatus 100, user's side system 300, renewable energy device 350, cognitive radio 400, supply side
500 and electric line and transformer station 600.
In the present embodiment, side apparatus 100 is dispatched to be used to manage intelligent grid 10 as a whole.The scheduling side apparatus
100 are communicated to connect by the channel of cognitive radio 400 with user's side system 300, to obtain the use of the transmission of user's side system 300
The content such as family workload demand and/or data message, the scheduling side apparatus 100 also can be by the channels to user's side system
300 issue data message.The scheduling side apparatus 100 is also connected with supply side 500, can buy electric energy to supply side 500.
In the present embodiment, the scheduling side apparatus 100 can be a server, or is made up of multiple servers
Cluster.Scheduling side apparatus 100 operation has EMS (EMS), and energy management system is by rationalization scheme profit
With the energy, unit product energy resource consumption, the information-based managing and control system increased economic efficiency are reduced.The scheduling side apparatus 100 can
It is connected with large-scale energy storage device, the energy in large-scale energy storage device can be energized freely for user side, when large-scale energy storage device
During energy deficiency, the scheduling side apparatus 100 can buy electric energy to meet user's request from supply side 500.
In the present embodiment, user's side system 300 include renewable energy device 350 (such as roof photovoltaic panel,
Small-sized wind power generator etc.), small-sized energy storage device, all kinds of family's loads (such as air-conditioning, washing machine, dish-washing machine etc.) and intelligence
Ammeter.Renewable energy device 350 and small-sized energy storage device can be that all kinds of family's loads energize.Intelligent electric meter is intelligent grid 10
Intelligent terminal, in addition to possessing the function of measuring of traditional ammeter basic electricity, also with two-way a variety of rates metering work(
Energy, user terminal control function, bidirectional data communication function of plurality of data transmission modes etc..Intelligent electric meter and scheduling side apparatus
Power demand can also be not only sent to scheduling side apparatus 100, be connect by 100 connections, intelligent electric meter with accurate measurement power consumption
By the price signal for carrying out self scheduling side apparatus 100.The intelligent electric meter being connected with renewable energy device 350, can also be to renewable
The output data of energy source device 350 carries out accurate measurement, and feeds back to the EMS system of scheduling side apparatus 100, so that scheduling side is set
Standby 100 formulate rational power program.
In the present embodiment, electric line and transformer station 600 are used for after the electric energy that supply side 500 exports is adjusted
It is conveyed to user's side system 300.
Fig. 2 is refer to, Fig. 2 is the block diagram for the scheduling side apparatus 100 that present pre-ferred embodiments provide.The tune
Spending side apparatus 100 includes memory 110, communication and energy scheduling interactive device 200, processor 120 and mixed-media network modules mixed-media 130.
The memory 110, processor 120 and mixed-media network modules mixed-media 130 are directly or indirectly electrically connected between each other, with reality
The transmission or interaction of existing data.For example, these elements can be realized by one or more communication bus or signal wire between each other
It is electrically connected with.Communication and energy scheduling interactive device 200 are stored with memory 110, the communication interacts dress with energy scheduling
Putting 200 includes at least one software work(that can be stored in the form of software or firmware (firmware) in the memory 110
Energy module, the processor 120 is stored in software program and module in memory 110 by operation, various so as to perform
Application of function and data processing.
Wherein, the memory 110 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 110 is used for storage program, the processor 120 after execute instruction is received,
Perform described program.Further, the software program in above-mentioned memory 110 and module may also include operating system, and it can
Including the various component softwares for management system task (such as memory management, storage device control, power management etc.) and/or
Driving, and can be in communication with each other with various hardware or component software, so as to provide the running environment of other software component.
The processor 120 can be a kind of IC chip, have the disposal ability of signal.Above-mentioned processor
120 can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc..Can realize or perform disclosed each method in the embodiment of the present invention, step and
Logic diagram.General processor can be microprocessor or the processor can also be any conventional processor etc..
The mixed-media network modules mixed-media 130 be used for by network establish scheduling side apparatus 100 and intelligent grid 10 in other outside
Communication connection between equipment (such as intelligent electric meter of user's side system 300).
It is appreciated that structure described in Fig. 2 is only to illustrate, scheduling side apparatus 100 may also include it is more more than shown in Fig. 2 or
The less component of person, or there is the configuration different from shown in Fig. 2.Each component shown in Fig. 2 can use hardware, software or
It, which is combined, realizes.
First embodiment
The present invention provides a kind of communication and energy scheduling exchange method, and methods described is applied to above-mentioned scheduling side apparatus
100.The scheduling side apparatus 100 is logical by the channel of cognitive radio 400 and user's side system 300 of participation demand response
Letter.
Fig. 3 is refer to, Fig. 3 is the communication and the step flow of energy scheduling exchange method that first embodiment of the invention provides
Figure.Communication and energy scheduling exchange method idiographic flow are described in detail below.
Step S110, according in each time interval participate in demand response the number of user's side system 300 situation of change,
Dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes.
In the present embodiment, the factor such as education level, family income, house type influences, different electric power users pair
Situations such as cognition of demand response, acceptance level, subjective good opinion implemented to demand response is all different.And different user
Selection for intelligent electric meter also has different preferences, may be partial to avoid risk for earlier user, to price and peace
Full property is more sensitive, and only when response income is more than cost, user can just participate in demand response.These factors can all influence to use
Family participates in the wish of demand response, and thus, in different time, participating in the number of users of demand response can become with the time
Change, and the change of number of users can cause the change of user's request energy, and then shadow can be produced to the data transfer of two-way communication
Ring, such as, when number of users increases, if the utilization rate of frequency spectrum can not caused relatively low, make user to channel distribution dynamic optimization
The communication informations such as workload demand, new energy output are easier to lose, and packet loss rises.This programme is by considering energy to communication
Influence, the situation that can be changed with time according to the number of users for participating in demand response carries out dynamically distributes to channel, loses data
Bag rate is minimum, improves multi-user's demand response performance and communication performance.
Fig. 4 is refer to, Fig. 4 is the sub-step flow chart of the step S110 shown in Fig. 3 that first embodiment of the invention provides.
The step S110 includes sub-step S111, sub-step S112, sub-step S113 and sub-step S114.
Sub-step S111, obtain the number for user's side system 300 that demand response is participated in each time interval.
In the present embodiment, the time interval can enter Mobile state setting according to the actual requirements, such as, it is small to may be set to one
When, then it can be divided within one day 24 time intervals, scheduling side apparatus 100 can be obtained in 24 time intervals in one day participates in demand
The number of user's side system 300 of response.The time interval also can be set as the smaller time as needed, even if between the time
Every very little, once the number of users participated in changes, running on the EMS system of scheduling side apparatus 100 also can quickly enter action
State perceives, and delay is short, and Consumer's Experience is good.
Sub-step S112, according to the situation of change of the number of user's side system 300, dynamically distributes are carried out to channel.
In the time interval, dispatch side apparatus 100 run EMS system can dynamic sensing participate in demand response user side
The situation of change of the number of system 300, and quickly carry out channel optimization and calculate, to carry out dynamically distributes to channel.
Sub-step S113, calculate probability transfer matrix of the channel after dynamically distributes.
The detailed process for calculating scheduling side apparatus 100 probability transfer matrix (P) below illustrates.
In the present embodiment, the channel that cognitive radio 400 provides only has two shapes for user's side system 300
State, upstate and down state.This programme is available, but is not limited to, and discrete Markov Chain describes two states, and 0
Channel upstate is represented, 1 on the contrary.The channel usable probability then obtained by the Markov Chain of two states is expressed as：
In the present embodiment, for each channel, the status of each user's side system 300 for participating in demand response is one
Sample, P can be usedcontrolThe probability that user acquires the right of control is represented, then is had：Pcontrol=1/n, wherein, n represents to participate in corresponding letter
The quantity of user's side system 300 of road competition.In addition, being likely to occur mistake in data transmission procedure, error probability can represent
For Pfail。
In this example, it is assumed that the user's side system 300 for participating in channel distribution shares N number of, the shared L bars of channel, can be by N
Individual user is divided into L groups, and the packet that each user's side system 300 needs to transmit is M, is described using Markov Chain is absorbed
The data transmission scenarios (assuming that M=5) of each channel.Fig. 5 is refer to, Fig. 5 is the absorption horse that first embodiment of the invention provides
The schematic diagram of Er Kefu chains.As shown in figure 5, probability transfer matrix P corresponding to each channel is represented by：
Wherein, for element P in Pm,m', m, m' represent that current time interval and next time interval are not transmitted respectively
Data packet number, packet transmission success needs to meet that channel is available, obtains to the channel right to use and packet simultaneously
Without three conditions of error in transmitting procedure.Thus for j-th strip channelMeter
Calculation method is as follows：
Sub-step S114, the channel average packet loss ratio of each time interval is calculated according to the probability transfer matrix.
Fig. 6 is refer to, Fig. 6 is the sub-step flow of the sub-step S114 shown in Fig. 4 that first embodiment of the invention provides
Figure.The sub-step S114 includes sub-step S1141, sub-step S1142 and sub-step S1143.
Sub-step S1141, the data-bag lost sum of each channel is calculated according to the probability transfer matrix.
In the present embodiment, after k (k values can be set according to demand) individual time interval, can determine that also without the number transmitted
Lost according to bag, the data-bag lost sum of j-th strip channel is availableRepresent, calculation formula is as follows：
Wherein,It is number of dropped packets initial probability distribution,pjIt is probability transfer matrix.
Sub-step S1142, the packet loss of respective channels is calculated according to data-bag lost sum.
In the present embodiment, the packet loss μ of j-th stripjFor：
Sub-step S1143, according to the number for user's side system 300 that demand response is participated in each time interval and each
The packet loss of channel calculates the channel average packet loss ratio of each time interval.
In the present embodiment, in different time interval participate in demand response number of users be it is different, thus, not
It is that the user for being provided with intelligent electric meter is required for distributing channel.Assuming that ammeter sum is in t-th of time interval：Wherein, NPVRepresent photovoltaic generation ammeter number, NwindExpression wind-power electricity generation ammeter number,Represent the intelligent electric meter number of participation channel distribution.The then channel average packet loss ratio μ of each time intervaltIt can represent such as
Under.
Wherein, njRepresent the quantity of user's side system 300 being divided into j-th group.
Referring once again to Fig. 3, methods described also includes：
Step S120, multi-user's demand response model is adjusted according to the channel average packet loss ratio, obtained new
Multi-user's demand response model, new multi-user's demand response model is solved, obtains the best electric price and optimal demand response
Performance indications.
In the present embodiment, this programme is counted by considering influence of the communication to energy according to after dynamics of channels is distributed
Obtained channel average packet loss ratio is adjusted to multi-user's demand response model, is rung with obtaining the best electric price and optimal demand
Answer performance indications.Power network is set to formulate rational power program according to the best electric price and optimal demand response performance indications,
Distribution and scheduling are optimized to energy.
Fig. 7 is refer to, Fig. 7 is the sub-step flow chart of the step S120 shown in Fig. 3 that first embodiment of the invention provides
One of.The step S120 includes sub-step S121, sub-step S122 and sub-step S123.
Sub-step S121, set multi-user's demand response model.
Fig. 8 is refer to, Fig. 8 is the sub-step flow of the sub-step S121 shown in Fig. 7 that first embodiment of the invention provides
Figure.The sub-step S121 includes sub-step S1211, sub-step S1212 and sub-step S1213.
Sub-step S1211, do not consider according to energy storage device energy storage capacity, utility function and that the second user that packet loss obtains is born
Lotus demand and the second new energy output calculation obtain user side object function.
In the present embodiment, do not consider that the second user workload demand that packet loss obtains is as follows.
Wherein,Represent that load of the nth user's side system 300 of participation demand response in k-th of time interval needs
Ask.There is bound constraint：N ∈ [1,2 .., N], k ∈ [1,2 .., K], N represent total user side
The number of system 300, K represent total time space-number.
In the present embodiment, energy storage device energy storage capacity includes：The small-sized energy storage device energy storage capacity of user side and scheduling side
Large-scale energy storage device energy storage capacity.
In the present embodiment, user's side system 300 can represent as follows in the charge-discharge energy of k-th of time interval.
Wherein,Represent that energy storage device is charging,Expression is being discharged.
In the present embodiment, the small-sized energy storage device of user side is as follows in the energy storage capacity of k-th of time interval.
If initial energy storageThen have：
Energy storage device maximum capacity is bn,max, have：
In the present embodiment, the frequency of discharge and recharge, speed and degree, which can all produce loss, influences the life-span of energy storage device, fills
Discharge lossIt is also required to consider,Wherein, a1It is discharge and recharge loss factor, a1>0。
In the present embodiment, the large-scale energy storage device energy storage capacity for dispatching side represents as follows.
Wherein,(x)+=max { x, 0 }.(x)+For the size compared with 0, if x is more than 0, x value is taken, if
X is less than 0, then takes 0.
In the present embodiment, do not consider that the second new energy (i.e. regenerative resource) output that packet loss obtains can represent such as
Under.
Wherein, the new energy output upper limit is gn,max, have：
In the present embodiment, can useRepresent nth user's 300 effect in k-th of time interval of side system
With function, utility function can reflect the satisfaction of user power utilization, and calculation expression is as follows.
Wherein, α, w are parameters set in advance, represent the degree of saturation of utility function.
In the present embodiment, the calculation formula of the user side object function obtained according to above-mentioned calculating process is as follows.
Sub-step S1212, supply side object function is calculated according to energy loss cost function.
In the present embodiment, supply side 500, which provides electric energy, can also produce energy loss, the calculating of energy loss cost function
Formula is as follows.
Wherein, ekIt is to run the electricity that the scheduling side apparatus 100 for having EMS system is bought from supply side 500, c1、c2、c3It is
Parameter set in advance.
In the present embodiment, the calculation formula of supply side object function is as follows.
Wherein, p is sale of electricity electricity price.
Sub-step S1213, comprehensive the supply side object function and user side object function, setting are used as multi-user's demand
The first object function of response model and corresponding first constraints.
In the present embodiment, consider that the interactive purpose influenceed between communication and energy is to make demand due to this programme
The interests of response user and supply side 500 all reach relatively optimal, thus, it is desirable to consider supply side object function and user
Sidelong glance scalar functions, the first object function as multi-user's demand response model and corresponding first constraints are set, calculated
Formula is as follows.
First object function：
First constraints：
Sub-step S122, the channel average packet loss ratio based on each time interval obtain the first customer charge demand and first
New energy is contributed.
In the present embodiment, data packetloss can occur during actual transmissions for data, consider the influence of packet loss, scheduling
The first customer charge demand that side apparatus 100 obtains is as follows.
Wherein, μkIt is the packet loss of k-th of time interval,z1nIt is that scheduling side apparatus 100 receives
Customer charge demand and actual load demand between error, meet that zero-mean is just distributed very much, i.e., For z1nVariance, z1n≤z1,max。
Similarly, the first new energy that scheduling side apparatus 100 receives, which is contributed, represents as follows：
Wherein,z2nIt is to dispatch the new energy that side apparatus 100 receives to contribute to go out with actual new energy
Error between power, meet that zero-mean is just distributed very much For z2nVariance, and z2n≤z2,max。
Sub-step S123, contributed according to the first customer charge demand and the first new energy and multi-user's demand is rung
Answer model to be adjusted, obtain new multi-user's demand response model.
In the present embodiment, dispatching side apparatus 100 can contribute according to the first customer charge demand and the first new energy
The first object function and corresponding first constraints are adjusted, obtained as new multi-user's demand response model
The second object function and corresponding second constraints.
In the present embodiment, dispatch side apparatus 100 and carry out packet loss optimization using dynamic channel allocating technology in order, make packet loss
Reach minimum value as far as possible, obtain the first customer charge demand after considering data packetloss and the first new energy is contributed.According to described
First customer charge demand and the first new energy contribute to obtain the second object function as new multi-user's demand response model
And corresponding second constraints is as follows.
Second object function：
Second constraints：
Fig. 9 is refer to, Fig. 9 is the sub-step flow chart of the step S120 shown in Fig. 3 that first embodiment of the invention provides
Two.The step S120 also includes sub-step S124 and sub-step S125.
Sub-step S124, new multi-user's demand response model is solved using Dual Decomposition Algorithm, obtained
The best electric price expression formula and optimal demand response performance indications expression formula.
In the present embodiment, scheduling side apparatus 100 can use, but be not limited to, and Dual Decomposition Algorithm is to new multi-user
Demand response model carries out duty Optimization.Lagrangian corresponding to second object function is as follows.
Wherein, user side object function, definable are contrastedFor demand response performance indications, BDRMValue is bigger,
Illustrate that the effect of user's participation demand response is better.Electricity price can be represented with Lagrange multiplier.
In the present embodiment, the best electric price expression formula tried to achieve by Dual Decomposition Algorithm is：
Obtained optimal demand response performance indications expression formula is：
Sub-step S125, it is calculated according to the best electric price expression formula and optimal demand response performance indications expression formula
The best electric price and optimal demand response performance indications.
In the present embodiment, from above-mentioned two expression formula, packet loss μkElectricity price and demand response performance can be produced
Influence, i.e. communication can influence on energy production, and when loss of data increases, packet loss increase, electricity price can raise, demand response performance
It can decline.This programme carries out packet loss optimization by using dynamic channel allocating technology in order, packet loss as is reached minimum as possible, then
Multi-user's demand response model is adjusted according to packet loss, the best electric price and optimal demand response performance indications are obtained in the hope of solution.Electricity
Net can make rational power program according to the best electric price and optimal demand response performance indications, energy can be carried out excellent
Change distribution and scheduling, to keep stable electricity price, lift demand response performance.
Figure 10, Figure 11, Figure 12, Figure 13 and Figure 14 are refer to, Figure 10 is to participate in demand response number of users to change over time
Bar chart, Figure 11 is to use static channel allocation and each self-corresponding packet loss comparison diagram of dynamic channel allocation, and Figure 12 is logical
Packet situation bar chart of the dynamic channel allocation in each time interval is crossed, (being set as 3 channels) Figure 13 is using static state
The comparison diagram that channel distribution and dynamic channel allocation influence on electricity price, Figure 14 are to use static channel allocation and dynamic channel allocation
To the comparison diagram of demand response performance impact.In Figure 11, Figure 13 and Figure 14, line correspondences static channel allocation, big rise and fall
Surge line correspond to dynamic channel allocation.
In the present embodiment, as shown in figure 11, the packet loss tried to achieve using dynamic channel allocation, which is existed, is understood to upper map analysis
The packet loss of static channel allocation is significantly lower than in each time interval.Contrast participates in the number of users of demand response at different moments
Found with average packet loss ratio, participate in that the user of channel distribution is fewer, and packet loss is lower, the information of transmission is less susceptible to lose.When
User is more, if the utilization rate of frequency spectrum can not caused relatively low, do not obtain the channel right to use to channel distribution dynamic optimization
The information that user sends is easily lost, and packet loss also increases.By dynamic channel allocation, packet loss can be reduced.Such as figure
Shown in 13, it is computed showing that dynamically distributes reduce 3.1821284099447% compared to the electricity price of static allocation, dynamic channel
The electricity price of distribution is significantly lower than the electricity price of static channel allocation.As shown in figure 14, it is computed drawing dynamically distributes compared to static state
The demand response performance of distribution improves 4.5118596209877%.Compared to static channel allocation, in each time interval
Interior, by dynamic channel allocation, communication performance is improved, enabled to measure optimized scheduling.Thus, communication and energy are passed through
Interactive mode scheduling, multi-user's demand response performance are improved significantly.
Second embodiment
Figure 15 is refer to, Figure 15 is the communication and the work(of energy scheduling interactive device 200 that second embodiment of the invention provides
Can module frame chart.Described device is applied to dispatching side apparatus 100.Described device includes：At first processing module 210 and second
Manage module 220.
First processing module 210, for according to the number of user's side system 300 that demand response is participated in each time interval
Situation of change, dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes.
Second processing module 220, for being adjusted according to the channel average packet loss ratio to multi-user's demand response model
It is whole, obtain new multi-user's demand response model, solve new multi-user's demand response model, obtain the best electric price and most
Excellent demand response performance indications.
In the present embodiment, the first processing module 210 is used to perform the step S110 in Fig. 3, the second processing
Module 220 is used to perform step S120 in Fig. 3, on the specific of the first processing module 210 and Second processing module 220
Description is referred to step S110 and step S120 description.
In summary, present pre-ferred embodiments provide a kind of communication and energy scheduling exchange method and device, the side
Method is applied to scheduling side apparatus, and the scheduling side apparatus passes through the channel of cognitive radio and user's side-line of participation demand response
System communication, methods described include：According in each time interval participate in demand response user side number of systems situation of change,
Dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes.According to the channel
Average packet loss ratio is adjusted to multi-user's demand response model, obtains new multi-user's demand response model, is solved described new
Multi-user's demand response model, obtain the best electric price and optimal demand response performance indications.
Thus, by considering influence of the energy to communication, dynamically distributes are carried out to channel, make data packetloss rate minimum.And
And consider influence of the communication to energy, multi-user's demand response model is adjusted according to packet loss, to obtain the best electric price
With optimal demand response performance indications.The flexible interaction of scheduling side and user side can be achieved, make rational power program, can
Distribution and scheduling are optimized to energy, multi-user's demand response performance and communication performance can be effectively lifted, stable electricity price, reduce
User power utilization cost.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (10)
1. one kind communication and energy scheduling exchange method, it is characterised in that methods described is applied to scheduling side apparatus, the scheduling
Side apparatus is communicated by the channel of cognitive radio and user's side system of participation demand response, and methods described includes：
According to the situation of change for the user side number of systems that demand response is participated in each time interval, Mobile state point is entered to channel
Match somebody with somebody, and calculate the channel average packet loss ratio of each time interval after dynamically distributes；
Multi-user's demand response model is adjusted according to the channel average packet loss ratio, obtains new multi-user's demand response
Model, new multi-user's demand response model is solved, obtains the best electric price and optimal demand response performance indications.
2. according to the method for claim 1, it is characterised in that demand response is participated in each time interval of basis
The situation of change of user side number of systems, dynamically distributes are carried out to channel, and calculate the letter of each time interval after dynamically distributes
Road average packet loss ratio, including：
Obtain the number for user's side system that demand response is participated in each time interval；
According to the situation of change of user side number of systems, dynamically distributes are carried out to channel；
Calculate probability transfer matrix of the channel after dynamically distributes；
The channel average packet loss ratio of each time interval is calculated according to the probability transfer matrix.
3. according to the method for claim 2, it is characterised in that described that each time is calculated according to the probability transfer matrix
The channel average packet loss ratio at interval, including：
The data-bag lost sum of each channel is calculated according to the probability transfer matrix；
The packet loss of respective channels is calculated according to data-bag lost sum；
Calculated according to the packet loss of the number for user's side system that demand response is participated in each time interval and each channel every
The channel average packet loss ratio of individual time interval.
4. according to the method for claim 1, it is characterised in that described to be used according to the channel average packet loss ratio to described
Family demand response model is adjusted, and obtains new multi-user's demand response model, including：
Set multi-user's demand response model；
Channel average packet loss ratio based on each time interval obtains the first customer charge demand and the first new energy is contributed；
Contributed according to the first customer charge demand and the first new energy and multi-user's demand response model be adjusted,
Obtain new multi-user's demand response model.
5. according to the method for claim 4, it is characterised in that setting multi-user's demand response model, including：
Second user workload demand and the second new energy that packet loss obtains are not considered according to energy storage device energy storage capacity, utility function and
Source output calculation obtains user side object function；
Supply side object function is calculated according to energy loss cost function；
Comprehensive the supply side object function and user side object function, set the first mesh as multi-user's demand response model
Scalar functions and corresponding first constraints.
6. according to the method for claim 5, it is characterised in that described new according to the first customer charge demand and first
The energy is contributed and multi-user's demand response model is adjusted, and obtains new multi-user's demand response model, including：
Contributed according to the first customer charge demand and the first new energy to the first object function and corresponding first about
Beam condition is adjusted, and obtains the second object function as new multi-user's demand response model and corresponding second constraint bar
Part.
7. according to the method described in claim 4-6 any one, it is characterised in that described to solve new multi-user's demand
Response model, the best electric price and optimal demand response performance indications are obtained, including：
New multi-user's demand response model is solved using Dual Decomposition Algorithm, obtain the best electric price expression formula and
Optimal demand response performance indications expression formula；
The best electric price and optimal is calculated according to the best electric price expression formula and optimal demand response performance indications expression formula
Demand response performance indications.
8. one kind communication and energy scheduling interactive device, it is characterised in that described device is applied to scheduling side apparatus, the scheduling
Side apparatus includes the control unit that operation has EMS, the scheduling channel and ginseng of the side apparatus by cognitive radio
Communicated with user's side system of demand response, described device includes：
First processing module, for the change feelings according to the user side number of systems that demand response is participated in each time interval
Condition, dynamically distributes are carried out to channel, and calculate the channel average packet loss ratio of each time interval after dynamically distributes；
Second processing module, for being adjusted according to the channel average packet loss ratio to multi-user's demand response model, obtain
New multi-user's demand response model, new multi-user's demand response model is solved, obtains the best electric price and optimal demand
Performance criteria of the response.
9. device according to claim 8, it is characterised in that the first processing module is according to each time interval internal reference
With the situation of change of the user side number of systems of demand response, dynamically distributes are carried out to channel, and calculated each after dynamically distributes
The mode of the channel average packet loss ratio of time interval includes：
Obtain the number for user's side system that demand response is participated in each time interval；
According to the situation of change of user side number of systems, dynamically distributes are carried out to channel；
Calculate probability transfer matrix of the channel after dynamically distributes；
The channel average packet loss ratio of each time interval is calculated according to the probability transfer matrix.
10. device according to claim 8, it is characterised in that the Second processing module is averagely lost according to the channel
Bag rate is adjusted to multi-user's demand response model, obtains new multi-user's demand response model, is solved described new
Multi-user's demand response model, obtaining the mode of the best electric price and optimal demand response performance indications includes：
Set multi-user's demand response model；
Channel average packet loss ratio based on each time interval obtains the first customer charge demand and the first new energy is contributed；
Contributed according to the first customer charge demand and the first new energy and multi-user's demand response model be adjusted,
Obtain new multi-user's demand response model；
New multi-user's demand response model is solved using Dual Decomposition Algorithm, obtain the best electric price expression formula and
Optimal demand response performance indications expression formula；
The best electric price and optimal is calculated according to the best electric price expression formula and optimal demand response performance indications expression formula
Demand response performance indications.
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