CN109829633A - A kind of energy scheduling management method, device, readable medium and electronic equipment - Google Patents
A kind of energy scheduling management method, device, readable medium and electronic equipment Download PDFInfo
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- CN109829633A CN109829633A CN201910042699.0A CN201910042699A CN109829633A CN 109829633 A CN109829633 A CN 109829633A CN 201910042699 A CN201910042699 A CN 201910042699A CN 109829633 A CN109829633 A CN 109829633A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a kind of energy scheduling management method, device, readable medium and electronic equipment, method includes: the energy operation data for obtaining the transportation network being made of at least one gas source and at least one gas station；Obtain the vehicle scheduling data of the corresponding carrier of the transportation network；The energy efficiency model for corresponding to the transportation network is formed according to the energy operation data and the vehicle scheduling data；Optimize the energy efficiency model with the energy scheduling data of the determination transportation network.According to the technical solution of the present invention, can the more reasonable dispatch situation to natural gas be managed.
Description
Technical field
The present invention relates to distributed energy technical field more particularly to a kind of energy scheduling management method, device, readable Jie
Matter and electronic equipment.
Background technique
Natural gas is life and common fuel in production as a kind of clean energy resource.In Gas Industry, Yong Huxu
Liquefied natural gas is bought from gas source, and gas source is according to the purchase gas demand of user, by the vehicle of carrier by the natural gas of gas source
It is delivered to gas station corresponding to relative users, to realize the scheduling of natural gas.
It can thus be seen that being only the purchase gas demand of user to the foundation that the dispatch situation of natural gas is managed, do not have
Consider the actual operation situation in scheduling process, such as the schedulable tolerance and/or the carrying capacity of carrier etc. of gas source, it may
Lead to not meet the natural gas of user demand to the delivery of gas station in time and accurately or transport power is caused to waste, how to realize more
Reasonably being managed to the dispatch situation of natural gas then becomes technical problem urgently to be resolved.
Summary of the invention
The present invention provides a kind of energy scheduling management method, device, readable medium and electronic equipment, pair that can be more reasonable
The dispatch situation of natural gas is managed.
In a first aspect, the present invention provides a kind of energy scheduling management methods, comprising:
Obtain the energy operation data for the transportation network being made of at least one gas source and at least one gas station；
Obtain the vehicle scheduling data of the corresponding carrier of the transportation network；
The efficiency mould for corresponding to the transportation network is formed according to the energy operation data and the vehicle scheduling data
Type；
Optimize the energy efficiency model with the energy scheduling data of the determination transportation network.
Preferably,
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are right respectively
The minimum air demand and greatest requirements tolerance answered；
The vehicle scheduling data, comprising: transport unit price, each energy transport vehicle of each energy transport vehicle
Maximum load volume, each energy transport vehicle execute the transport between each described gas station and each described gas source
The operating range of required traveling and delay time at stop when task；
Then,
The optimization energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
Optimize the energy efficiency model with determine the recommendation air demand between each described gas source and each described gas station,
The transport task distribution of each energy transport vehicle and its corresponding energy of each assigned transport task
Source freight volume.
Preferably,
It is described that the energy for corresponding to the transportation network is formed according to the energy operation data and the vehicle scheduling data
Imitate model, comprising:
Form the energy efficiency model corresponding to the transportation network being made of objective function and constraint condition；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization in T characterization energy valid value, N characterization transportation network
The total amount of carrier's energy transport vehicle；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th
Unit profit between gas station；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterized when being 1 the f energy transport vehicle be assigned to execute i-th gas source and
Transport task between j-th of gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to i-th of gas of execution
Transport task between source and j-th of gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The operating range of Shi Suoxu traveling；
yfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
When corresponding energy freight volume；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The delay time at stop of Shi Suoxu；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterize pre-set j-th of gas station most
Big demand tolerance, w be preset constant.
Preferably,
The constraint condition further comprises:
Wherein, P1、P2、P3、d1、d2It is constant.
Preferably,
The optimization energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
The optimal solution for being solved the objective function according to the constraint condition based on particle swarm algorithm, is obtained described in each
Recommendation air demand between gas source and each described gas station, each energy transport vehicle transport task distribution and its by
The corresponding energy freight volume of each of distribution transport task.
Second aspect, the present invention provides a kind of energy scheduling managing devices, comprising:
Operation data obtains module, for obtaining the transportation network being made of at least one gas source and at least one gas station
Energy operation data；
Data acquisition module is dispatched, for obtaining the vehicle scheduling data of the corresponding carrier of the transportation network；
Model construction module, for being formed according to the energy operation data and the vehicle scheduling data corresponding to described
The energy efficiency model of transportation network；
Optimization processing module, for optimizing the energy efficiency model with the energy scheduling data of the determination transportation network.
Preferably,
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are right respectively
The minimum air demand and greatest requirements tolerance answered；
The vehicle scheduling data, comprising: transport unit price, each energy transport vehicle of each energy transport vehicle
Maximum load volume, each energy transport vehicle execute the transport between each described gas station and each described gas source
The operating range of required traveling and delay time at stop when task；
Then,
The optimization processing module, for optimizing the energy efficiency model described in each determining described gas source and each
Recommendation air demand between gas station, each energy transport vehicle transport task distribution and its be assigned each described in
The corresponding energy freight volume of transport task.
Preferably,
The model construction module, be used to form be made of objective function and constraint condition correspond to the transport network
The energy efficiency model of network；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization in T characterization energy valid value, N characterization transportation network
The total amount of carrier's energy transport vehicle；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th
Unit profit between gas station；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterized when being 1 the f energy transport vehicle be assigned to execute i-th gas source and
Transport task between j-th of gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to i-th of gas of execution
Transport task between source and j-th of gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The operating range of Shi Suoxu traveling；
yfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
When corresponding energy freight volume；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The delay time at stop of Shi Suoxu；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterize pre-set j-th of gas station most
Big demand tolerance, w be preset constant.
The third aspect, the present invention provides a kind of readable mediums, including execute instruction, when the processor of electronic equipment executes
Described when executing instruction, the electronic equipment executes the method as described in any in first aspect.
Fourth aspect, the present invention provides a kind of electronic equipment, including processor and are stored with the storage executed instruction
Device, when executing instruction described in the processor executes memory storage, the processor is executed as in first aspect
Any method.
The present invention provides a kind of energy scheduling management method, device, readable medium and electronic equipment, this method is logical to be obtained
If by the energy operation data for the transportation network that several gas sources and dry gas station are constituted, and obtaining the corresponding acknowledgement of consignment of the transportation network
The vehicle scheduling data of side, and corresponding energy efficiency model is formed according to the energy operation data and vehicle scheduling data of acquisition,
Then the energy scheduling data of transportation network can be then determined by optimizing to the energy efficiency model；In subsequent process, i.e.,
It can be executed between each gas source and each gas station according to the energy transport vehicle of obtained energy scheduling data rational management carrier
Energy transport task, thus realize comprehensively consider transportation network traffic-operating period and carrier vehicle scheduling situation, more
Reasonably the dispatch situation of natural gas is managed.
Detailed description of the invention
It in order to illustrate the embodiments of the present invention more clearly or existing technical solution, below will be to embodiment or the prior art
Attached drawing needed in description is briefly described, it should be apparent that, the accompanying drawings in the following description is only in the present invention
The some embodiments recorded without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram for energy scheduling management method that one embodiment of the invention provides；
Fig. 2 is a kind of structural schematic diagram for energy scheduling managing device that one embodiment of the invention provides；
Fig. 3 is the structural schematic diagram for a kind of electronic equipment that one embodiment of the invention provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment and accordingly
Technical solution of the present invention is clearly and completely described in attached drawing.Obviously, described embodiment is only a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
Every other embodiment obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
As shown in Figure 1, the embodiment of the invention provides a kind of energy scheduling management methods, including following each step:
Step 101, the energy operation number for the transportation network being made of at least one gas source and at least one gas station is obtained
According to；
Step 102, the vehicle scheduling data of the corresponding carrier of the transportation network are obtained；
Step 103, it is formed according to the energy operation data and the vehicle scheduling data and corresponds to the transportation network
Energy efficiency model；
Step 104, optimize the energy efficiency model with the energy scheduling data of the determination transportation network.
Embodiment as shown in Figure 1, if the logical energy for obtaining the transportation network being made of several gas sources and dry gas station of this method
Source operation data, and the vehicle scheduling data of the corresponding carrier of the transportation network are obtained, and according to the energy operation of acquisition
Data and vehicle scheduling data form corresponding energy efficiency model, then then can be by optimizing the energy efficiency model with determination
The energy scheduling data of transportation network out；It, can be according to obtained energy scheduling data rational management carrier in subsequent process
Energy transport vehicle execute the energy transport task between each gas source and each gas station, thus realize comprehensively consider transportation network
Traffic-operating period and carrier vehicle scheduling situation, the more reasonable dispatch situation to natural gas is managed.
Gas source in transportation network belongs to natural gas supply quotient, and gas station belongs to natural gas motorcar side (i.e. user), carrier
Natural gas transportation gas source provided by its energy transport vehicle is to corresponding gas station.Carrier can with when natural gas supply quotient from
Body and/or third party's forwarding contractor.
When the carrying capacity of carrier fully meets the natural gas dispatching requirement of transportation network, ensuring to transport to realize
Under the premise of the corresponding supplier's profit maximization of defeated network, and under the premise of meeting the minimum tolerance demand of user, avoid to holding
The transport power of fortune side causes to waste, and realizes the energy transport vehicle of rational management carrier to reduce resource consumption, a reality of the invention
It applies in example,
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are right respectively
The minimum air demand and greatest requirements tolerance answered；
The vehicle scheduling data, comprising: transport unit price, each energy transport vehicle of each energy transport vehicle
Maximum load volume, each energy transport vehicle execute the transport between each described gas station and each described gas source
The operating range of required traveling and delay time at stop when task；
Then,
The optimization energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
Optimize the energy efficiency model with determine the recommendation air demand between each described gas source and each described gas station,
The transport task distribution of each energy transport vehicle and its corresponding energy of each assigned transport task
Source freight volume.
It should be noted that user belonging to each gas station may include trader, industrial user, power plant and other classes
Type client, the critical property of the corresponding business of different user, natural gas demand are respectively different.Therefore, here can according to
A large number of users is divided into different classes of by the critical property of the business at family and natural gas demand, for example a large number of users is divided into guarantor
For client, multiple classifications such as client, stable client, Protocol Client are specialized in, correspondingly, in a maximum demand of known each user
In the case where, the classification of owning user can be distinguished according to each gas station, and for each gas station, its corresponding minimum is set
Air demand and greatest requirements tolerance.
It is described according to the energy operation data and the vehicle scheduling data correspondingly, in one embodiment of the invention
Form the energy efficiency model for corresponding to the transportation network, comprising:
Form the energy efficiency model corresponding to the transportation network being made of objective function and constraint condition；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization in T characterization energy valid value, N characterization transportation network
The total amount of carrier's energy transport vehicle；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th
Unit profit between gas station；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterized when being 1 the f energy transport vehicle be assigned to execute i-th gas source and
Transport task between j-th of gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to i-th of gas of execution
Transport task between source and j-th of gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The operating range of Shi Suoxu traveling；
yfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
When corresponding energy freight volume；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The delay time at stop of Shi Suoxu；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterize pre-set j-th of gas station most
Big demand tolerance, w be preset constant.
In the embodiment, each function expression in constraint condition is referred specifically to:
(1), i-th gas source can provide natural gas to multiple gas stations, but i-th of gas source provided to each gas station it is natural
The total amount of gas should be not more than the schedulable tolerance of i-th of gas source.
(2), multiple gas sources can provide natural gas, but the day that each gas source is provided to j-th of gas station to j-th of gas station simultaneously
The total amount of right gas should be not less than the corresponding minimum essential requirement tolerance in pre-set j-th of gas station and no more than pre-set
The corresponding greatest requirements tolerance in j-th of gas station.
(3), the f energy transport vehicle can be assigned to the transport executed between i-th of gas source and j-th of gas station and appoint
Business, but is only capable of the direct transport task being performed simultaneously between a gas source and a gas station, can not be performed simultaneously a gas source with
Multiple transport tasks between multiple gas stations or between multiple gas sources and a gas station.
(4), carrier can provide one or more energy transport vehicles be performed simultaneously i-th of gas source and j-th gas station it
Between transport task, i.e. between i-th of gas source and j-th of gas station in the case where meeting other conditions, the transport power energy of carrier
Enough meet the recommendation freight volume x between i-th of gas source and j-th of gas stationij。
(5) the f energy transport vehicle can be assigned to the transport task executed between i-th of gas source and j-th of gas station,
But it executes the corresponding energy freight volume when transport task between i-th of gas source and j-th of gas station should be maximum no more than it
Load volume.
For example, can by the position of the f energy transport vehicle, the position of i-th gas source, j-th gas station position
It sets, calculates the transport task when institute for knowing that the f energy transport vehicle executes between the position and j-th of gas station of i-th of gas source
The operating range D that need to be travelledfij。
For example, preset constant w can be as penalty coefficient according to history management and running situation, gradually adjust with
Obtained empirical value.
For example, delay time at stop KfijRefer specifically to position and jth that the f energy transport vehicle executes i-th of gas source
When transport task between a gas station, respectively at the predicted time interval that i-th of gas source and j-th of gas station early arrive or evening arrives
The sum of.In a kind of mode in the cards, operating range D can be passed throughfij, estimate the f energy transport vehicle and execute i-th
It reaches first estimated time of i-th of gas source when transport task between the position of gas source and j-th of gas station and estimates
Up to second estimated time at j-th of gas station, then by the first estimated time for reaching i-th of gas source and pre-set reach the
The limiting time of i gas source is compared to obtain the first predicted time interval, and when will reach the second of j-th of gas station and estimate
Between with the pre-set limiting time for reaching j-th of gas station be compared to obtain the second predicted time interval, when the first prediction
Between interval with the second predicted time interval and as delay time at stop Kfij；For example, the arrival time that i-th of gas source limits
For moment TiaAnd TibBetween, the arrival time that j-th of gas station limits is moment TjaAnd TjbBetween, it is assumed that the f energy transport vehicle
Earlier than moment TiaOr it is later than moment TibT altogether1A time interval reaches i-th of gas source, while earlier than moment TjaOr it is later than
Moment TjbT altogether2A time interval reaches, then Kfij=t1+t2。
It should be noted that DfijThe f energy transport vehicle is referred specifically to be assigned to i-th of gas source of execution and j-th
When transport task between gas station, from the position of the f energy transport vehicle travel to the first operating range of i-th of gas source with from
I-th of gas source travels the sum of the second operating range to j-th of gas station.
I-th of gas source is travelled to the unit profit between j-th of gas station in objective function, can at least pass through the following two kinds
One of implementation is realized.
Implementation 1 directly acquires the purchase gas unit price and gas supply unit price of i-th of gas source, by gas supply unit price and purchase gas list
The difference of valence is as unit profit.
It is implementation 2, its recommendation freight volume between i-th of gas source and j-th of gas station is associated, it is formed with i-th
Piecewise function of the recommendation freight volume as independent variable between a gas source and j-th of gas station, and using the piecewise function as constraint
Condition.
For implementation 2, the piecewise function specifically:
Wherein, P1、P2、P3、d1、d2It is constant.
Independent variable in objective function includes recommending freight volume xi between i-th of gas source and j-th of gas stationj, the f energy
The transport task distribution condition T of transport vehiclefijAnd the f energy transport vehicle is executed and is transported between i-th of gas source and j-th of gas station
Corresponding energy freight volume when defeated task；It is not difficult to find out that the quantity of independent variable depends critically upon transportation network in objective function
The total amount F of the total amount M of gas source, the total amount N at gas station and energy transport vehicle, and in practical business scene gas source total amount M, gas
The total amount of the total amount F of the total amount N and energy transport vehicle that stand are relatively large, i.e., the quantity of independent variable is relatively in objective function
Greatly, therefore, a large amount of independent variable in the objective function in order to adapt to energy efficiency model, in one embodiment of the invention, the optimization
The energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
The optimal solution for being solved the objective function according to the constraint condition based on particle swarm algorithm, is obtained described in each
Recommendation air demand between gas source and each described gas station, each energy transport vehicle transport task distribution and its by
The corresponding energy freight volume of each of distribution transport task.
In the embodiment, particle swarm algorithm realization, which optimizes specified model, belongs to this in the method for obtaining optimal solution
Therefore the common technology means of field technical staff solve target according to constraint condition only for based on particle swarm algorithm below
Each key step of the optimal solution of function is illustrated without being illustrated to detailed process flow, can specifically include
Following each step:
A, according to the position of each independent variable initialization particle r in objective function: xr=[xr00…xrij…xrMN,
yr000…yrfij…yrFMN, Tr000…Trfij…TrFMN]。
Here, for xrThe initialization of vector, xrij、yrfij、TrfijInitial value value can be related to j by its subscript i
Connection, that is, pass through yrfij、TrfijValue choose the f energy transport vehicle nearest with i-th gas source distance and participate in transport and adjust
Degree, as the initial position for executing optimal solution search in particle swarm algorithm；It is available of certain scale in initialization procedure
Particle r initial position, so as to the subsequent initial position to each particle r be iterated update with obtain locally optimal solution with
And globally optimal solution.
B, the speed of particle r: v is initializedr=[vr0 vr1 … vrL]。
Wherein, L xrThe length of vector, vrIn element value limitation need and xrMiddle element corresponds.
C, particle position x is calculatedrFitness value, and according to particle position xrFitness value initialization particle r part
Optimal location and global optimum position.
Here, the corresponding local optimum position (i.e. locally optimal solution) of initialization particle r can recorde are as follows: pr=[pr0 pr1
… prL]。
Here, the corresponding global optimum position (i.e. globally optimal solution) of initialization particle r can recorde are as follows: pg=[pg0
pg1 … pgL]。
D, the iteration more speed of new particle r and position.
Here, formula can be passed through:It updates
The speed of particle r.
Here, formula can be passed through:The more position of new particle r.
Wherein, c1、c2It, can be with value for 2, r for Studying factors or accelerator coefficient1、r2Value interval is [0,1], is the area
Between equally distributed random number；Q characterizes xiAnd viElement numbers, f indicate the f times iteration.
It should be noted that can limit particle iteration here updates the attainable maximum speed value of institute.
It should also be noted that, during being updated to the particle r it should be ensured that position of particle r meets energy mini Mod
Constraint condition.
E, according to updated particle position xr, fitness value is calculated, p is updated according to the fitness value of calculatingrAnd pg.
F, judge whether to reach maximum number of iterations or successive ignition obtains the variation of global optimum position and meets Minimum Threshold
Value, if it is, iteration terminates；Otherwise it jumps to step D and continues iteration update.
It will be apparent that the global optimum position of obtained particle r corresponds to the optimal solution of energy efficiency model, the optimal solution
Specifically contain the recommendation air demand between each gas source and each gas station, the transport task of each energy transport vehicle is divided
The corresponding energy freight volume of each transport task matched and its be assigned.
Based on design identical with embodiment of the present invention method, referring to FIG. 2, the embodiment of the invention also provides a kind of energy
Source dispatching managing device, comprising:
Operation data obtains module 201, for obtaining the transport being made of at least one gas source and at least one gas station
The energy operation data of network；
Data acquisition module 202 is dispatched, for obtaining the vehicle scheduling data of the corresponding carrier of the transportation network；
Model construction module 203, for being corresponded to according to the energy operation data and vehicle scheduling data formation
The energy efficiency model of the transportation network；
Optimization processing module 204, for optimizing the energy efficiency model with the energy scheduling data of the determination transportation network.
In one embodiment of the invention,
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are right respectively
The minimum air demand and greatest requirements tolerance answered；
The vehicle scheduling data, comprising: transport unit price, each energy transport vehicle of each energy transport vehicle
Maximum load volume, each energy transport vehicle execute the transport between each described gas station and each described gas source
The operating range of required traveling and delay time at stop when task；
Then,
The optimization processing module 204, for optimizing the energy efficiency model to determine each described gas source and each
The transport task of recommendation air demand, each energy transport vehicle between the gas station is distributed and its each assigned
The corresponding energy freight volume of the transport task.
In one embodiment of the invention, the model construction module 203 is used to form by objective function and constraint condition
The energy efficiency model corresponding to the transportation network constituted；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization in T characterization energy valid value, N characterization transportation network
The total amount of carrier's energy transport vehicle；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th
Unit profit between gas station；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterized when being 1 the f energy transport vehicle be assigned to execute i-th gas source and
Transport task between j-th of gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to i-th of gas of execution
Transport task between source and j-th of gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The operating range of Shi Suoxu traveling；
yfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
When corresponding energy freight volume；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task executed between i-th of gas source and j-th of gas station
The delay time at stop of Shi Suoxu；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterize pre-set j-th of gas station most
Big demand tolerance, w be preset constant.
For convenience of description, it describes to be divided into various units when apparatus above embodiment with function or module describes respectively,
The function of each unit or module can be realized in the same or multiple software and or hardware in carrying out the present invention.
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.In hardware view, the electronic equipment
Including processor, optionally further comprising internal bus, network interface, memory.Wherein, memory may include memory, such as
High-speed random access memory (Random-Access Memory, RAM), it is also possible to further include nonvolatile memory (non-
Volatile memory), for example, at least 1 magnetic disk storage etc..Certainly, which is also possible that other business institutes
The hardware needed.
Processor, network interface and memory can be connected with each other by internal bus, which can be ISA
(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral
Component Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended Industry Standard
Architecture, expanding the industrial standard structure) bus etc..The bus can be divided into address bus, data/address bus, control always
Line etc..Only to be indicated with a four-headed arrow in Fig. 3, it is not intended that an only bus or a type of convenient for indicating
Bus.
Memory is executed instruction for storing.Specifically, the computer program that can be performed is executed instruction.Memory
It may include memory and nonvolatile memory, and execute instruction to processor offer and data.
In a kind of mode in the cards, processor reads corresponding execute instruction to interior from nonvolatile memory
It is then run in depositing, can also obtain from other equipment and execute instruction accordingly, to form energy scheduling pipe on logic level
Manage device.What processor execution memory was stored executes instruction, to execute instruction any reality of the realization present invention by what is executed
The energy scheduling management method provided in example is provided.
The method that the above-mentioned energy scheduling managing device provided such as embodiment illustrated in fig. 2 of the present invention executes can be applied to locate
It manages in device, or realized by processor.Processor may be a kind of IC chip, the processing capacity with signal.In reality
During now, each step of the above method can pass through the integrated logic circuit of the hardware in processor or the finger of software form
It enables and completing.Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processor, DSP), it is specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete
Door or transistor logic, discrete hardware components.It may be implemented or execute the disclosed each side in the embodiment of the present invention
Method, step and logic diagram.General processor can be microprocessor or the processor is also possible to any conventional processing
Device etc..
The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processor and execute
At, or in decoding processor hardware and software module combination execute completion.Software module can be located at random access memory,
This fields such as flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register maturation
In storage medium.The storage medium is located at memory, and processor reads the information in memory, completes above-mentioned side in conjunction with its hardware
The step of method.
The embodiment of the present invention also proposed a kind of readable medium, which, which is stored with, executes instruction, storage
It executes instruction when being executed by the processor of electronic equipment, the electronic equipment can be made to execute and provided in any embodiment of the present invention
Energy scheduling management method, and be specifically used for executing method as shown in Figure 1.
Electronic equipment described in foregoing individual embodiments can be computer.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method or computer program product.
Therefore, the form that complete hardware embodiment, complete software embodiment or software and hardware combine can be used in the present invention.
Various embodiments are described in a progressive manner in the present invention, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Implement especially for device
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part illustrates.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
The above description is only an embodiment of the present invention, is not intended to restrict the invention.For those skilled in the art
For, the invention may be variously modified and varied.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (10)
1. a kind of energy scheduling management method characterized by comprising
Obtain the energy operation data for the transportation network being made of at least one gas source and at least one gas station；
Obtain the vehicle scheduling data of the corresponding carrier of the transportation network；
The energy efficiency model for corresponding to the transportation network is formed according to the energy operation data and the vehicle scheduling data；
Optimize the energy efficiency model with the energy scheduling data of the determination transportation network.
2. the method according to claim 1, wherein
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are corresponding
Minimum air demand and greatest requirements tolerance；
The vehicle scheduling data, comprising: the transport unit price of each energy transport vehicle, each energy transport vehicle are most
Big load volume, each energy transport vehicle execute the transport task between each described gas station and each described gas source
The operating range of Shi Suoxu traveling and delay time at stop；
Then,
The optimization energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
Optimize the energy efficiency model to determine the recommendation air demand between each described gas source and each described gas station, each
The transport task distribution of the energy transport vehicle and its corresponding energy fortune of each described transport task being assigned
Throughput rate.
3. according to the method described in claim 2, it is characterized in that,
It is described that the efficiency mould for corresponding to the transportation network is formed according to the energy operation data and the vehicle scheduling data
Type, comprising:
Form the energy efficiency model corresponding to the transportation network being made of objective function and constraint condition；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization acknowledgement of consignment in T characterization energy valid value, N characterization transportation network
Can source transport vehicle total amount；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th of gas station
Between unit profit；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterizes the f energy transport vehicle and is assigned to i-th of gas source of execution and j-th when being 1
Transport task between gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to executing i-th of gas source and the
Transport task between j gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task when institute executed between i-th of gas source and j-th of gas station
The operating range that need to be travelled；
yfijThe f energy transport vehicle is characterized to be assigned to when executing the transport task between i-th of gas source and j-th of gas station pairs
The energy freight volume answered；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task when institute executed between i-th of gas source and j-th of gas station
The delay time at stop needed；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterizing the maximum of pre-set j-th of gas station needs
Ask tolerance, w be preset constant.
4. according to the method described in claim 3, it is characterized in that,
The constraint condition further comprises:
Wherein, P1、P2、P3、d1、d2It is constant.
5. according to the method described in claim 3, it is characterized in that,
The optimization energy efficiency model is with the energy scheduling data of the determination transportation network, comprising:
The optimal solution for solving the objective function according to the constraint condition based on particle swarm algorithm obtains each described gas source
The transport task of recommendation air demand, each energy transport vehicle between gas station described in each is distributed and its is assigned
The corresponding energy freight volume of each described transport task.
6. a kind of energy scheduling managing device characterized by comprising
Operation data obtains module, for obtaining the energy for the transportation network being made of at least one gas source and at least one gas station
Source operation data；
Data acquisition module is dispatched, for obtaining the vehicle scheduling data of the corresponding carrier of the transportation network；
Model construction module corresponds to the transport for being formed according to the energy operation data and the vehicle scheduling data
The energy efficiency model of network；
Optimization processing module, for optimizing the energy efficiency model with the energy scheduling data of the determination transportation network.
7. device according to claim 6, which is characterized in that
The energy operation data includes: that the schedulable tolerance of each gas source, each described gas station are corresponding
Minimum air demand and greatest requirements tolerance；
The vehicle scheduling data, comprising: the transport unit price of each energy transport vehicle, each energy transport vehicle are most
Big load volume, each energy transport vehicle execute the transport task between each described gas station and each described gas source
The operating range of Shi Suoxu traveling and delay time at stop；
Then,
The optimization processing module, for optimizing the energy efficiency model to determine each described gas source and each described gas station
Between recommendation air demand, the distribution of the transport task of each energy transport vehicle and its each assigned described transport
The corresponding energy freight volume of task.
8. device according to claim 7, which is characterized in that
The model construction module, be used to form be made of objective function and constraint condition correspond to the transportation network
Energy efficiency model；
Wherein,
The objective function includes:
The constraint condition includes:
Wherein,
The total amount at gas station, M characterize the total amount of gas source in transportation network, F characterization acknowledgement of consignment in T characterization energy valid value, N characterization transportation network
Can source transport vehicle total amount；
cij(xij) recommend freight volume for x between i-th of gas source of characterization and j-th of gas stationijWhen, i-th of gas source and j-th of gas station
Between unit profit；
xijCharacterize the recommendation air demand between i-th of gas source and j-th of gas station；
TfijValue is 0 or 1, TfijValue characterizes the f energy transport vehicle and is assigned to i-th of gas source of execution and j-th when being 1
Transport task between gas station, TfijValue characterizes the f energy transport vehicle when being 0 unassigned to executing i-th of gas source and the
Transport task between j gas station；
PfCharacterize the transport unit price of the f energy transport vehicle；
DfijThe f energy transport vehicle is characterized to be assigned to the transport task when institute executed between i-th of gas source and j-th of gas station
The operating range that need to be travelled；
yfijThe f energy transport vehicle is characterized to be assigned to when executing the transport task between i-th of gas source and j-th of gas station pairs
The energy freight volume answered；
CfCharacterize the maximum load volume of the f energy transport vehicle；
KfijThe f energy transport vehicle is characterized to be assigned to the transport task when institute executed between i-th of gas source and j-th of gas station
The delay time at stop needed；
aiCharacterize the schedulable tolerance of i-th of gas source；
VajCharacterize minimum essential requirement tolerance, the b at pre-set j-th of gas stationjCharacterizing the maximum of pre-set j-th of gas station needs
Ask tolerance, w be preset constant.
9. a kind of readable medium, including execute instruction, when executing instruction described in the processor of electronic equipment executes, the electronics
Equipment executes the method as described in any in claim 1 to 5.
10. a kind of electronic equipment including processor and is stored with the memory executed instruction, described in processor execution
When executing instruction described in memory storage, the processor executes the method as described in any in claim 1 to 5.
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