CN107734696B - Communication and energy scheduling exchange method and device - Google Patents
Communication and energy scheduling exchange method and device Download PDFInfo
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- CN107734696B CN107734696B CN201711080430.9A CN201711080430A CN107734696B CN 107734696 B CN107734696 B CN 107734696B CN 201711080430 A CN201711080430 A CN 201711080430A CN 107734696 B CN107734696 B CN 107734696B
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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 communicate and dispatches exchange method and device with energy, is applied to scheduling side apparatus.The described method includes: dynamically distributing according to the situation of change for the user side number of systems for participating in demand response in each time interval to channel, and calculate the channel average packet loss ratio of each time interval after dynamic allocation.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 indicator.As a result, by consider energy with communicate between two-way interactive influence, channel can be dynamically distributed, keep data packetloss rate minimum, and the best electric price and optimal demand response performance indicator are obtained according to packet loss adjustment multi-user's demand response model.And then multi-user's demand response performance and communication performance are effectively promoted, stablize electricity price, reduces user power utilization cost.
Description
Technical field
The present invention relates to electrical and fields of communication technology, dispatch exchange method with energy in particular to a kind of communication
And device.
Background technique
With the continuous propulsion that smart grid is built, Demand-side resource is in cooperation power grid peak load shifting, consumption renewable energy
The effect in source etc. is re-recognized, core feature be dispatch side and user side communication and energy can neatly into
Row interaction, making more electric power users no longer is single energy consumption part, 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 publication
Or incentive mechanism responds, and changes itself consumption habit, reduces load peak period electricity consumption, support power grid is reliable, efficiently,
The acts and efforts for expediency of economical operation suffer from important strategy function to entire power industry and socio-economic development etc..It needs
The realization of response is asked to be related to the acquisition and transmitting 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 scheduling side two-way communication and energy transmission emulation testing do not consider communicate and
It is interactive between energy to influence.Usually in the case where the channel of default transport data will not occur packet loss or ignore packet loss
It carries out, also, when carrying out channel distribution, does not account for the wish that electric power users participate in demand response, ignore participation demand
The case where 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 meeting sharp fight channel, the communication informations such as workload demand, new energy power output of electric power users are easier to lose, on packet loss
It rises, multi-user's demand response performance is caused to decline, electricity price increases, user power utilization increased costs.Meanwhile communication performance decline can shadow
Power grid is rung to the reasonable distribution of energy, must be increased communication equipment investment to transmit a large amount of communication data, be increased communication
Cost.
Summary of the invention
In order to overcome above-mentioned deficiency in the prior art, the present invention provides a kind of communicate and energy scheduling exchange method and dress
It sets, by considering influence of the energy to communication, channel is dynamically distributed, keeps 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 indicator.The flexible interaction of scheduling side and user side can be achieved.
The first object of the present invention is that providing a kind of communicate dispatches exchange method with energy, and the method is applied to scheduling
Side apparatus, the scheduling side apparatus are described by the channel of cognitive radio and the user side system communication of participation demand response
Method includes:
According to the situation of change for the user side number of systems for participating in demand response in each time interval, channel is moved
State distribution, and calculate the channel average packet loss ratio of each time interval after dynamic allocation；
Multi-user's demand response model is adjusted according to the 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 indicator.
The second object of the present invention is that providing a kind of communicate 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 Energy Management System, and the scheduling side apparatus passes through cognition
The channel of radio and the user side system communication for participating in demand response, described device include:
First processing module, for the variation according to the user side number of systems for participating in demand response in each time interval
Situation dynamically distributes channel, and calculates the channel average packet loss ratio of each time interval after dynamic allocation；
Second processing module, for being adjusted according to the channel average packet loss ratio to multi-user's demand response model,
It obtains new multi-user's demand response model, solves new multi-user's demand response model, obtain the best electric price and optimal
Demand response performance indicator.
In terms of existing technologies, the invention has the following advantages:
Present pre-ferred embodiments provide a kind of communicate and are applied to adjust with energy scheduling exchange method and device, the method
Side apparatus is spent, the scheduling side apparatus passes through the channel of cognitive radio and the user side system communication of participation demand response, institute
The method of stating include: according in each time interval participate in demand response user side number of systems situation of change, to channel into
Mobile state distribution, and calculate the channel average packet loss ratio of each time interval after dynamic allocation.It is averaged packet loss according to the channel
Rate is adjusted multi-user's demand response model, obtains new multi-user's demand response model, solves the new multi-user
Demand response model obtains the best electric price and optimal demand response performance indicator.As a result, by considering energy to the shadow of communication
It rings, channel is dynamically distributed, keep 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 indicator.Scheduling side can be achieved
With the flexible interaction of user side, multi-user's demand response performance and communication performance are effectively promoted, stablizes electricity price, reduces user power utilization
Cost.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the block diagram for the smart 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 step flow chart of the communication that first embodiment of the invention provides and energy scheduling exchange method.
Fig. 4 is the sub-step flow chart for 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 for the sub-step S114 shown in Fig. 4 that first embodiment of the invention provides.
Fig. 7 is one of the sub-step flow chart for the step S120 shown in Fig. 3 that first embodiment of the invention provides.
Fig. 8 is the sub-step flow chart for 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 for the step S120 shown in Fig. 3 that first embodiment of the invention provides.
Figure 10 is the bar chart for participating in demand response number of users and changing over time.
Figure 11 is using static channel allocation and the corresponding packet loss comparison diagram of dynamic channel allocation.
Figure 12 is the grouping situation bar chart by dynamic channel allocation in each time interval.
Figure 13 is the comparison diagram influenced using static channel allocation and dynamic channel allocation on electricity price.
Figure 14 is the comparison diagram influenced using static channel allocation and dynamic channel allocation on demand response performance.
Figure 15 is the functional block diagram of the communication that second embodiment of the invention provides and energy scheduling interactive device.
Icon: 10- smart grid；100- dispatches side apparatus；110- memory；120- processor；130- network module；
200- communication dispatches interactive device with energy；210- first processing module；220- Second processing module；300- user's side system；
350- renewable energy device；400- cognitive radio；500- supply side；600- electric line and substation.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Usually herein
The component of the embodiment of the present invention described and illustrated in place's attached drawing can be arranged and be designed with a variety of different configurations.Therefore,
The model of claimed invention is not intended to limit to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
It encloses, but is merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
Fig. 1 is please referred to, Fig. 1 is the block diagram for the smart grid 10 that present pre-ferred embodiments provide.The intelligence
Power grid 10 includes: scheduling side apparatus 100, user's side system 300, renewable energy device 350, cognitive radio 400, supply side
500 and electric line and substation 600.
In the present embodiment, scheduling side apparatus 100 is for managing smart grid 10 as a whole.The scheduling side apparatus
100 are communicated to connect by the channel and user's side system 300 of cognitive radio 400, to obtain the use of the transmission of user's side system 300
The contents such as family workload demand and/or data information, the scheduling side apparatus 100 can also be by the channels to user's side system
300 issue data information.The scheduling side apparatus 100 is also connect 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 be made of multiple servers
Cluster.The operation of scheduling side apparatus 100 has Energy Management System (EMS), and energy management system is by rationalization scheme benefit
With the energy, unit product energy consumption, the information-based managing and control system increased economic efficiency are reduced.The scheduling side apparatus 100 can
It is connect 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
When energy deficiency, the scheduling side apparatus 100 can buy electric energy from supply side 500 to meet user demand.
In the present embodiment, user's side system 300 include renewable energy device 350 (for example, roof photovoltaic panel,
Small-sized wind power generator etc.), small-sized energy storage device, all kinds of family's loads (for example, air-conditioning, washing machine, dish-washing machine etc.) and intelligence
Ammeter.Renewable energy device 350 and small-sized energy storage device can energize for all kinds of family's loads.Intelligent electric meter is smart grid 10
Intelligent terminal also there are two-way a variety of rates to measure function other than having the function of measuring of traditional ammeter basic electricity consumption
Energy, user terminal control function, bidirectional data communication function of plurality of data transmission modes etc..Intelligent electric meter and scheduling side apparatus
100 connections, intelligent electric meter not only can accurately measure electricity consumption, and power demand can also be sent to scheduling side apparatus 100, connect
By the price signal for carrying out self scheduling side apparatus 100.The intelligent electric meter connecting with renewable energy device 350, can also be to renewable
The output data of energy source device 350 is accurately measured, and feeds back to the EMS system of scheduling side apparatus 100, so that scheduling side is set
Standby 100 formulate reasonable power program.
In the present embodiment, electric line and substation 600 are for after being adjusted the electric energy that supply side 500 exports
It is conveyed to user's side system 300.
Referring to figure 2., 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 network module 130.
The memory 110, processor 120 and network module 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 between each other by one or more communication bus or signal wire
It is electrically connected.It is stored with communication in memory 110 and energy dispatches interactive device 200, the communication interacts dress with energy scheduling
Setting 200 includes that at least one can be stored in the software function in the memory 110 in the form of software or firmware (firmware)
Energy module, the software program and module that the processor 120 is stored in memory 110 by operation, thereby executing various
Functional application and data processing.
Wherein, the memory 110 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (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 for storing program, the processor 120 after receiving and executing instruction,
Execute described program.Further, the software program in above-mentioned memory 110 and module may also include operating system, can
Including the various component softwares for management system task (such as memory management, storage equipment control, power management etc.) and/or
Driving, and can be in communication with each other with various hardware or component software, to provide the running environment of other software component.
The processor 120 can be a kind of IC chip, the processing capacity with signal.Above-mentioned processor
120 can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit
(Network Processor, NP) etc..May be implemented or execute disclosed each method in the embodiment of the present invention, step and
Logic diagram.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
The network module 130 be used to establish by network in scheduling side apparatus 100 and smart grid 10 other outside
Communication connection between equipment (for example, 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 than shown in Fig. 2 or
The less component of person, or with the configuration different from shown in Fig. 2.Each component shown in Fig. 2 can using hardware, software or
A combination thereof is realized.
First embodiment
The present invention provides a kind of communicate and dispatches exchange method with energy, and the method 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.
Referring to figure 3., Fig. 3 is the step process of communication and energy scheduling exchange method that first embodiment of the invention provides
Figure.Communication and energy scheduling exchange method detailed process are described in detail below.
Step S110, according in each time interval participate in demand response 300 number of user's side system situation of change,
Channel is dynamically distributed, and calculates the channel average packet loss ratio of each time interval after dynamic allocation.
In the present embodiment, the factors such as education level, family income, house type influence, 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
Also there is different preferences for the selection of intelligent electric meter, earlier user may be partial to avoid risk, to price and peace
Full property is more sensitive, and only when responding income greater 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 as a result, in different time, the number of users for participating in demand response can become at any time
Change, and the variation of number of users will cause the variation of user demand energy, and then can transmit to the data of two-way communication and generate shadow
It rings, for example, if the utilization rate that will cause frequency spectrum is lower not to channel distribution dynamic optimization, making user when number of users increases
The communication informations such as workload demand, new energy power output are easier to lose, and packet loss rises.This programme is by considering energy to communication
It influences, the situation that can be changed with time according to the number of users for participating in demand response dynamically distributes channel, loses data
Packet rate is minimum, improves multi-user's demand response performance and communication performance.
Referring to figure 4., Fig. 4 is the sub-step flow chart for 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 obtains the number that user's side system 300 of demand response is participated in each time interval.
In the present embodiment, the time interval can carry out dynamic setting according to actual needs, for example, 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 obtain in 24 time intervals in one day participates in demand
The number of user's side system 300 of response.The time interval can also be set as needed as the smaller time, even if between the time
Every very little, once the number of users participated in changes, the EMS system for running on scheduling side apparatus 100 can also be moved quickly
State perception, is delayed short, user experience is good.
Sub-step S112 dynamically distributes channel according to the situation of change of 300 number of user's side system.
In the time interval, scheduling side apparatus 100 run EMS system can dynamic sensing participate in demand response user side
The situation of change of 300 number of system, and quickly carry out channel optimization and calculate, to be dynamically distributed to channel.
Sub-step S113 calculates probability transfer matrix of the channel after dynamically distributing.
The detailed process for calculating the probability transfer matrix (P) to scheduling side apparatus 100 below is illustrated.
In the present embodiment, only there are two shapes for user's side system 300 for the channel that cognitive radio 400 provides
State, available mode and down state.This programme is available, but is not limited to, and discrete Markov Chain describes two states, and 0
Indicate channel available mode, 1 on the contrary.Then indicated by the channel usable probability that the Markov Chain of two states obtains are as follows:
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 usedcontrolIt indicates the probability that user acquires the right of control, then has: Pcontrol=1/n, wherein n indicates 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 be indicated
For Pfail。
In this example, it is assumed that the user's side system 300 for participating in channel distribution shares N number of, channel shares L item, can be by N
A user is divided into L group, and the data 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.Referring to figure 5., Fig. 5 is the absorption horse that first embodiment of the invention provides
The schematic diagram of Er Kefu chain.As shown in figure 5, the corresponding probability transfer matrix P of each channel may be expressed as:
Wherein, for element P in Pm,m', m, m' respectively indicate current time interval and next time interval is not transmitted
Data packet number, data packet transmission success needs to meet simultaneously that channel is available, acquirement is to the channel right to use and data packet
Without three conditions of error in transmission process.Thus for j-th strip channel
Calculation method is as follows:
Sub-step S114 calculates the channel average packet loss ratio of each time interval according to the probability transfer matrix.
Fig. 6 is please referred to, Fig. 6 is the sub-step process for 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 calculates the data-bag lost sum of each channel according to the probability transfer matrix.
In the present embodiment, after k (k value can be set according to demand) a time interval, it can determine that the number of transmitting not yet
It has been lost according to packet, the data-bag lost sum of j-th strip channel is availableIt indicates, calculation formula is as follows:
Wherein,It is number of dropped packets initial probability distribution,pjIt is probability transfer matrix.
Sub-step S1142 calculates the packet loss of respective channels according to the data-bag lost sum.
In the present embodiment, the packet loss μ of j-th stripjAre as follows:
Sub-step S1143, according to the number for the user's side system 300 for participating in demand response 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, the number of users that demand response is participated in different time intervals is different, as a result, not
Be be equipped with intelligent electric meter user require distribution channel.Assuming that ammeter sum in t-th of time interval are as follows:Wherein, NPVIndicate photovoltaic power generation ammeter number, NwindExpression wind-power electricity generation ammeter number,Indicate the intelligent electric meter number of participation channel distribution.The then channel average packet loss ratio μ of each time intervaltIt can indicate such as
Under.
Wherein, njIndicate 300 quantity of user's side system being divided into j-th group.
Referring once again to Fig. 3, the method also includes:
Step S120 is adjusted multi-user's demand response model according to the 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 indicator.
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 multi-user's demand response model, is rung with obtaining the best electric price and optimal demand
Answer performance indicator.Make power grid that can formulate reasonable power program according to the best electric price and optimal demand response performance indicator,
Distribution and scheduling are optimized to energy.
Fig. 7 is please referred to, Fig. 7 is the sub-step flow chart for 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 sets multi-user's demand response model.
Fig. 8 is please referred to, Fig. 8 is the sub-step process for 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 does not consider according to energy storage device energy storage capacity, utility function and that the second user that packet loss obtains is negative
Lotus demand and the second new energy output calculation obtain user side objective function.
In the present embodiment, the second user workload demand for not considering that packet loss obtains is as follows.
Wherein,Indicate that the nth user's side system 300 for participating in demand response is needed in the load of k-th of time interval
It asks.There is bound constraint:N ∈ [1,2 .., N], k ∈ [1,2 .., K], N indicate total user side
300 number of system, K indicate total time space-number.
In the present embodiment, energy storage device energy storage capacity includes: small-sized energy storage device energy storage capacity and the scheduling side of user side
Large-scale energy storage device energy storage capacity.
In the present embodiment, user's side system 300 can be expressed as follows in the charge-discharge energy of k-th of time interval.
Wherein,Indicate 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, speed and degree of charge and discharge, which can all generate loss, influences the service life of energy storage device, fills
Discharge lossIt is also required to consider,Wherein, a1It is charge and discharge loss factor, a1>0。
In the present embodiment, the large-scale energy storage device energy storage capacity for dispatching side is expressed as follows.
Wherein,(x)+=max { x, 0 }.(x)+The value of x is taken if x is greater than 0 for the size compared with 0,
If x takes 0 less than 0.
In the present embodiment, the second new energy (i.e. renewable energy) power output for not considering that packet loss obtains can indicate such as
Under.
Wherein, the new energy power output upper limit is gn,max, have:
In the present embodiment, it can useIndicate effect of the nth user's side system 300 in k-th of time interval
With function, utility function can reflect the satisfaction of user power utilization, and calculation expression is as follows.
Wherein, α, w are preset parameters, indicate the degree of saturation of utility function.
In the present embodiment, the calculation formula of the user side objective function obtained according to above-mentioned calculating process is as follows.
Supply side objective function is calculated according to energy loss cost function in sub-step S1212.
In the present embodiment, supply side 500, which provides electric energy, can also generate energy loss, the calculating of energy loss cost function
Formula is as follows.
Wherein, ekIt is the electricity that operation has the scheduling side apparatus 100 of EMS system to buy from supply side 500, c1、c2、c3It is
Preset parameter.
In the present embodiment, the calculation formula of supply side objective function is as follows.
Wherein, p is sale of electricity electricity price.
Sub-step S1213, the comprehensive supply side objective function and user side objective function, setting are used as multi-user's demand
The first object function of response model and corresponding first constraint condition.
In the present embodiment, since this programme considers that the interactive purpose influenced between communication and energy is to make demand
The interests of response user and supply side 500 all reach relatively optimal, thus, it is desirable to comprehensively consider supply side objective function and user
Sidelong glance scalar functions set the first object function as multi-user's demand response model and corresponding first constraint condition, calculate
Formula is as follows.
First object function:
First constraint condition:
Sub-step S122, the channel average packet loss ratio based on each time interval obtain the first customer charge demand and first
New energy power output.
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 zero-mean and be just distributed very much, i.e., For z1nVariance, z1n≤z1,max。
Similarly, the first new energy power output that scheduling side apparatus 100 receives is expressed as follows:
Wherein,z2nIt is to dispatch the new energy power output that side apparatus 100 receives to go out with practical new energy
Error between power meets zero-mean and is just distributed very much For z2nVariance, and z2n≤z2,max。
Sub-step S123 rings multi-user's demand according to the first customer charge demand and the first new energy power output
It answers model to be adjusted, obtains new multi-user's demand response model.
In the present embodiment, scheduling side apparatus 100 can contribute according to the first customer charge demand and the first new energy
The first object function and corresponding first constraint condition are adjusted, obtained as new multi-user's demand response model
The second objective function and corresponding second constraint condition.
In the present embodiment, scheduling side apparatus 100 carries out packet loss optimization using dynamic channel allocating technology in order, makes packet loss
Reach minimum value as far as possible, obtains the first customer charge demand and the first new energy power output after considering data packetloss.According to described
First customer charge demand and the first new energy contribute to obtain the second objective function as new multi-user's demand response model
And corresponding second constraint condition is as follows.
Second objective function:
Second constraint condition:
Fig. 9 is please referred to, Fig. 9 is the sub-step flow chart for the step S120 shown in Fig. 3 that first embodiment of the invention provides
Two.The step S120 further includes sub-step S124 and sub-step S125.
Sub-step S124 solves new multi-user's demand response model using Dual Decomposition Algorithm, obtains
The best electric price expression formula and optimal demand response performance indicator express 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.The corresponding Lagrangian of second objective function is as follows.
Wherein, user side objective function is compared, can defineFor demand response performance indicator, BDRMValue is bigger,
Illustrate that the effect of user's participation demand response is better.Electricity price can be indicated with Lagrange multiplier.
In the present embodiment, the best electric price expression formula acquired by Dual Decomposition Algorithm are as follows:
Obtained optimal demand response performance indicator expression formula are as follows:
Sub-step S125 is calculated according to the best electric price expression formula and optimal demand response performance indicator expression formula
The best electric price and optimal demand response performance indicator.
In the present embodiment, by above-mentioned two expression formula it is found that packet loss μkElectricity price and demand response performance can be generated
It influences, i.e. communication can influence energy production, and when loss of data increases, packet loss increases, and electricity price can increase, demand response performance
It can decline.This programme makes packet loss as reach minimum as possible by carrying out packet loss optimization using dynamic channel allocating technology in order, then
Multi-user's demand response model is adjusted according to packet loss, obtains the best electric price and optimal demand response performance indicator in the hope of solution.Electricity
Net can make reasonable power program according to the best electric price and optimal demand response performance indicator, can carry out to energy excellent
Change distribution and scheduling, to keep stable electricity price, promotes demand response performance.
Figure 10, Figure 11, Figure 12, Figure 13 and Figure 14 are please referred to, Figure 10 is to participate in demand response number of users to change over time
Bar chart, Figure 11 is using static channel allocation and the corresponding packet loss comparison diagram of dynamic channel allocation, and Figure 12 is logical
Dynamic channel allocation is crossed in the grouping situation bar chart of each time interval, (being set as 3 channels) Figure 13 is using static state
The comparison diagram that channel distribution and dynamic channel allocation influence electricity price, Figure 14 are using static channel allocation and dynamic channel allocation
The comparison diagram that demand response performance is influenced.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, to upper map analysis it is found that as shown in figure 11, being existed using the packet loss that dynamic channel allocation acquires
Each time interval is significantly lower than the packet loss of static channel allocation.Compare the number of users of different moments participation demand response
Find that the user for participating in channel distribution is fewer, and packet loss is lower, and the information of transmission is less susceptible to lose with average packet loss ratio.When
User is more, if the utilization rate that will cause frequency spectrum is lower not to channel distribution dynamic optimization, does not obtain the channel right to use
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 and show that dynamic allocation 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 and obtains dynamic allocation 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.Pass through communication and energy as a result,
Interactive mode scheduling, multi-user's demand response performance are improved significantly.
Second embodiment
Figure 15 is please referred to, Figure 15 is the function of the communication that second embodiment of the invention provides and energy scheduling interactive device 200
It can module frame chart.Described device is applied to and scheduling side apparatus 100.Described device includes: at first processing module 210 and second
Manage module 220.
First processing module 210, for according to 300 number of user's side system for participating in demand response in each time interval
Situation of change, channel is dynamically distributed, and calculate dynamically distribute after each time interval channel average packet loss ratio.
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, it obtains new multi-user's demand response model, solves new multi-user's demand response model, obtain the best electric price and most
Excellent demand response performance indicator.
In the present embodiment, the first processing module 210 is used to execute the step S110 in Fig. 3, the second processing
Module 220 is used to execute step S120 in Fig. 3, about the specific of the first processing module 210 and Second processing module 220
Description is referred to the description of step S110 and step S120.
In conclusion present pre-ferred embodiments provide a kind of communicate 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 participates in user's side-line of demand response
System communication, which comprises according in each time interval participate in demand response user side number of systems situation of change,
Channel is dynamically distributed, and calculates the channel average packet loss ratio of each time interval after dynamic allocation.According to the channel
Average packet loss ratio is adjusted multi-user's demand response model, obtains new multi-user's demand response model, solves described new
Multi-user's demand response model, obtain the best electric price and optimal demand response performance indicator.
As a result, by considering influence of the energy to communication, channel is dynamically distributed, keeps 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 indicator.The flexible interaction that scheduling side and user side can be achieved, makes reasonable power program, can
Distribution and scheduling are optimized to energy, can effectively promote multi-user's demand response performance and communication performance, stablizes electricity price, is reduced
User power utilization cost.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of communication dispatches exchange method with energy, which is characterized in that the method is applied to scheduling side apparatus, the scheduling
Side apparatus passes through the channel of cognitive radio and the user side system communication of participation demand response, which comprises
According to the situation of change for the user side number of systems for participating in demand response in each time interval, dynamic point is carried out to channel
Match, and calculates the channel average packet loss ratio of each time interval after dynamic allocation；
Multi-user's demand response model is adjusted according to the 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 indicator；
Wherein, multi-user's demand response model is adjusted according to the channel average packet loss ratio, obtaining new multi-user needs
Seek response model, comprising:
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 power output；
Multi-user's demand response model is adjusted according to the first customer charge demand and the first new energy power output,
Obtain new multi-user's demand response model；
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 objective function；
Supply side objective function is calculated according to energy loss cost function；
The comprehensive supply side objective function and user side objective function, set the first mesh as multi-user's demand response model
Scalar functions and corresponding first constraint condition；
It is contributed to the first object function and corresponding first about according to the first customer charge demand and the first new energy
Beam condition is adjusted, and obtains the second objective function and corresponding second constraint item as new multi-user's demand response model
Part.
2. the method according to claim 1, wherein described according to participation demand response in each time interval
The situation of change of user side number of systems, dynamically distributes channel, and calculates the letter of each time interval after dynamic allocation
Road average packet loss ratio, comprising:
Obtain the number that user's side system of demand response is participated in each time interval；
According to the situation of change of user side number of systems, channel is dynamically distributed；
Calculate probability transfer matrix of the channel after dynamically distributing；
The channel average packet loss ratio of each time interval is calculated according to the probability transfer matrix.
3. according to the method described in claim 2, it is characterized in that, described calculate each time according to the probability transfer matrix
The channel average packet loss ratio at interval, comprising:
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 the data-bag lost sum；
It is calculated according to the packet loss of the number for the user's side system for participating in demand response in each time interval and each channel every
The channel average packet loss ratio of a time interval.
4. the method according to claim 1, wherein described solve new multi-user's demand response model,
Obtain the best electric price and optimal demand response performance indicator, comprising:
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 indicator expresses formula；
The best electric price and optimal is calculated according to the best electric price expression formula and optimal demand response performance indicator expression formula
Demand response performance indicator.
5. a kind of communication dispatches interactive device with energy, which is characterized in that described device is applied to scheduling side apparatus, the scheduling
Side apparatus includes the control unit that operation has Energy Management System, and the scheduling side apparatus passes through the channel and ginseng of cognitive radio
With the user side system communication of demand response, described device includes:
First processing module, for the variation feelings according to the user side number of systems for participating in demand response in each time interval
Condition dynamically distributes channel, and calculates the channel average packet loss ratio of each time interval after dynamic allocation；
Second processing module is obtained for being adjusted according to the channel average packet loss ratio to multi-user's demand response model
New multi-user's demand response model solves new multi-user's demand response model, obtains the best electric price and optimal demand
Performance criteria of the response；
The Second processing module is specifically used for setting 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 power output；
Multi-user's demand response model is adjusted according to the first customer charge demand and the first new energy power output,
Obtain new multi-user's demand response model；
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 objective function；
Supply side objective function is calculated according to energy loss cost function；
The comprehensive supply side objective function and user side objective function, set the first mesh as multi-user's demand response model
Scalar functions and corresponding first constraint condition；
It is contributed to the first object function and corresponding first about according to the first customer charge demand and the first new energy
Beam condition is adjusted, and obtains the second objective function and corresponding second constraint item as new multi-user's demand response model
Part；
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 indicator expresses formula；
The best electric price and optimal is calculated according to the best electric price expression formula and optimal demand response performance indicator expression formula
Demand response performance indicator.
6. device according to claim 5, which is characterized 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, channel is dynamically distributed, and is calculated each after dynamic allocation
The mode of the channel average packet loss ratio of time interval includes:
Obtain the number that user's side system of demand response is participated in each time interval；
According to the situation of change of user side number of systems, channel is dynamically distributed；
Calculate probability transfer matrix of the channel after dynamically distributing；
The channel average packet loss ratio of each time interval is calculated according to the probability transfer matrix.
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