CN112950063A - Regional energy source complementation method and device - Google Patents
Regional energy source complementation method and device Download PDFInfo
- Publication number
- CN112950063A CN112950063A CN202110333368.XA CN202110333368A CN112950063A CN 112950063 A CN112950063 A CN 112950063A CN 202110333368 A CN202110333368 A CN 202110333368A CN 112950063 A CN112950063 A CN 112950063A
- Authority
- CN
- China
- Prior art keywords
- energy
- complementation
- sub
- initial
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003169 complementation method Methods 0.000 title claims abstract description 23
- 230000005540 biological transmission Effects 0.000 claims abstract description 37
- 230000008901 benefit Effects 0.000 claims abstract description 33
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims description 23
- 239000011159 matrix material Substances 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 8
- 230000000295 complement effect Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 abstract description 6
- 238000013480 data collection Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 238000003860 storage Methods 0.000 description 7
- 230000008878 coupling Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 230000005611 electricity Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 101150035904 PES1 gene Proteins 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention is suitable for the technical field of energy Internet, and provides a regional energy complementation method and a device, wherein the regional energy complementation method comprises the following steps: receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways; determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm; determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model; and sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies. The cloud edge building cooperative system is used for data collection and decision generation, so that the regional energy mass data are used for calculation, accurate decision is completed, and efficient utilization of regional energy is achieved.
Description
Technical Field
The invention belongs to the technical field of energy Internet, and particularly relates to a regional energy complementation method and device.
Background
In recent years, the development and use of clean energy such as wind power, photovoltaic and biogas in rural areas are gradually increased, the energy is a powerful supplement for rural life power supply, heating and cooling and agricultural production, and the energy and a local power grid, a natural gas pipeline network and the like form a regional energy system with a characteristic village and town mode. Regional energy refers to energy of various forms and grades required by people for production and life in a certain region, and is reasonably, integrally and efficiently produced, distributed, utilized and dissipated. To achieve the goal of regional energy economy, stability and high efficiency, various distributed energy sources need to be reasonably configured.
At present, in the prior art, an information acquisition network is mainly constructed by applying a framework of an electric power internet of things to acquire current data, so that information interaction between a cloud center and an energy main body is realized.
However, the simultaneous surge of a large amount of data to the cloud platform causes congestion of a communication network and computing pressure of the cloud platform, so that the utilization rate of regional energy is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for regional energy complementation, so as to solve the problem of low regional energy utilization in the prior art.
The first aspect of the embodiment of the present invention provides a regional energy complementation method, which is applied to a cloud platform, and includes:
receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, wherein the n sub-region edge gateways correspond to the n energy sub-regions one to one;
determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
and sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
A second aspect of the embodiments of the present invention provides a regional energy complementation method, applied to a sub-region edge gateway, including:
receiving a plurality of target instructions sent by a cloud platform;
and realizing energy source complementation among the n energy source sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy source complementation strategies.
A third aspect of the embodiments of the present invention provides a regional energy complementation apparatus, applied to a cloud platform, including:
the device comprises an initial data receiving module, a data processing module and a data processing module, wherein the initial data receiving module is used for receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, and the n sub-region edge gateways correspond to the n energy sub-regions one to one;
the initial strategy generation module is used for determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
and the energy complementation module is used for sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies so as to enable the sub-area edge gateways to realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
A fourth aspect of the embodiments of the present invention provides a device for complementing regional energy, which is applied to a sub-region edge gateway, and includes:
the instruction receiving module is used for receiving a plurality of target instructions sent by the cloud platform;
and the energy source complementation module is used for realizing energy source complementation among the n energy source sub-regions according to the target instructions, wherein the target instructions at least comprise a plurality of target energy source complementation strategies.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the method comprises the steps of firstly receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, and determining a plurality of initial energy complementation strategies corresponding to the n energy sub-regions according to the initial energy data and a preset divide-and-conquer algorithm; determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model; and finally, sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies. The cloud edge building cooperative system is used for data collection and decision generation, so that the regional energy mass data are used for calculation, accurate decision is completed, and efficient utilization of regional energy is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a regional energy complementation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a cloud-edge collaborative regional energy complementation system topology according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an implementation of the refinement step of S102 in the embodiment of the present invention;
FIG. 4 is a schematic diagram of a flow chart of implementing the step of refining S103 in the embodiment of the present invention;
FIG. 5 is a flowchart illustrating the implementation of the refinement step of S104 in the embodiment of the present invention;
fig. 6 is a schematic flow chart illustrating a method for implementing a regional energy complementation according to another embodiment of the present invention;
fig. 7 is a schematic flow chart illustrating a method for implementing a regional energy complementation according to another embodiment of the present invention;
FIG. 8 is a flowchart illustrating an implementation of the refinement step of S702 in the embodiment of the present invention;
fig. 9 is a schematic structural diagram of a regional energy source complementation apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a regional energy source complementation apparatus according to another embodiment of the invention;
fig. 11 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a schematic diagram of a regional energy complementation method according to an embodiment of the present invention. As shown in fig. 1, a regional energy complementation method of this embodiment includes:
step S101: receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, wherein the n sub-region edge gateways correspond to the n energy sub-regions one to one;
step S102: determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
step S103: determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
step S104: and sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
In an embodiment, the method of the present application is described with reference to fig. 2, where a sub-region edge gateway collects initial energy data of each energy sub-region, and uploads the initial energy data to a cloud platform (that is, a cloud platform service center including a regional energy dynamic decision unit for storing an energy complementation policy), and the cloud platform service preprocesses the initial energy data, where a preprocessing process is as follows: and converting the initial energy data into standardized knowledge to form an initial knowledge base, and then extracting attributes and relations of the knowledge in the initial knowledge base to form the preprocessed initial energy data. And determining a plurality of initial energy complementation strategies corresponding to the n energy subregions according to the initial energy data after pretreatment and a preset divide-and-conquer algorithm. The initial energy data at least comprises source charge characteristics, space-time distribution, initial energy storage and interactive coupling. Furthermore, each energy sub-area comprises a plurality of micro-grids, each micro-grid comprising a source, a reservoir and a load.
The method comprises the steps of firstly receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, and determining a plurality of initial energy complementation strategies corresponding to the n energy sub-regions according to the initial energy data and a preset divide-and-conquer algorithm; determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model; and finally, sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies. The cloud edge building cooperative system is used for data collection and decision generation, so that the regional energy mass data are used for calculation, accurate decision is completed, and efficient utilization of regional energy is achieved.
Fig. 3 is a schematic flowchart of the refinement step of S102 in the embodiment of the present invention, and as shown in fig. 3, S102 includes:
step S301: acquiring initial surplus energy data corresponding to the m surplus energy subregions and initial shortage energy data corresponding to the k shortage energy subregions;
step S302: distributing the initial surplus energy data according to the types of surplus energy, and distributing the initial shortage energy data according to the types of shortage energy to respectively obtain multiple types of initial surplus energy data and multiple types of initial shortage energy data;
step S303: matching the types of the surplus energy sources and the types of the shortage energy sources one by one according to the preset division algorithm to construct the types of the combined energy sources;
step S304: distributing the multi-class initial surplus energy data and the multi-class initial shortage energy data according to the types of combined energy to obtain multi-class initial energy combination data;
step S305: and taking a plurality of initial energy combination data in the plurality of types of initial energy combination data as a plurality of initial energy complementation strategies corresponding to the n energy subregions.
In one embodiment, the method specifically comprises the following steps:
1. energy sub-region classification
Setting a regional energy system to be divided into n energy subregions, wherein m renewable surplus energy subregions are arranged at the initial moment of a period Tx, and surplus power of the regional energy system is as follows:
Psurplus＝{(Pes1，Phs1)，(Pes2，Phs2)，(Pes3，Phs3)，…，(Pesm，Phsm)}
wherein Pes is surplus electric energy, and Phs is surplus heat energy.
k sub-areas of renewable shortage of energy, associated with the load, the power of the shortage being:
Pshortage＝{(Pel1，Phl1)，(Pel2，Phl2)，(Pel3，Phl3)，…，(Pelk，Phlk)}
wherein Pel is the demand of electric energy, Phl is the demand of heat energy.
If the renewable energy is transported, the surplus subarea energy is consumed so as to reduce the expenditure of energy purchased by the energy shortage subarea to the power grid and the natural gas pipeline network, and S schemes are shared.
It is clear that some of these solutions are not reasonable, for example, when Pesi is 0, it still participates in the energy transmission scheme of Pelj, which can be eliminated by preprocessing, thereby reducing the subsequent computational pressure.
The pretreatment method comprises the following steps:
dividing surplus subregions into three categories according to the types of surplus energy sources:
Pes-only＝{Pesi|i∈(1,2,3,…,m),and Phsi＝0}
Phs-only＝{Phsj|j∈(1,2,3,…,m),and Pesj＝0}
Pes-hs＝{(Pesq,Phsq)|q∈(1,2,3,…,m),and(Pesq≠0,Phsq≠0)}
and secondly, similarly, dividing the shortage subareas into three types according to the types of the shortage energy sources:
Pel-only＝{Peli|i∈(1,2,3,…,k),and Phsi＝0}
Phl-only＝{Phlj|j∈(1,2,3,…,k),and Pesj＝0}
Pel-hl＝{(Pesq,Phsq)|q∈(1,2,3,…,k),and(Pelq≠0,Phlq≠0)}
2. aiming at the above classification, according to the principle of a divide-and-conquer algorithm, the following 5 combinations are constructed:
Pes-only——Pel-only
Phs-only——Phl-only
Pes-hs——Pel-only
Pes-hs——Phl-only
Pes-hs——Pel-hl
3. the number of two set elements in each combination was calculated to form the following energy delivery scheme (i.e., initial energy complementation strategy):
S′＝{S′1，S′2，S′3，S′4，S′5}。
fig. 4 is a schematic flowchart of the refinement step of S103 in the embodiment of the present invention, and as shown in fig. 4, S103 includes:
step S401: searching an initial energy source complementation strategy corresponding to each surplus energy source subregion from the plurality of initial energy source complementation strategies;
step S402: extracting a distance matrix corresponding to the initial energy complementation strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combined data corresponding to the initial energy complementation strategy belongs;
step S403: calculating energy transmission benefits corresponding to each surplus subarea according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy transmission benefit model;
step S404: under the condition that the energy transmission benefit is larger than zero, summarizing the initial energy complementation strategies corresponding to the energy transmission benefit to obtain an initial energy complementation strategy set corresponding to each surplus subarea;
step S405: and performing descending order arrangement on the initial energy source complementation strategies in the initial energy source complementation strategy set according to energy source transmission benefits, and selecting the initial energy source complementation strategy corresponding to the maximum energy source transmission benefit as the target energy source complementation strategy corresponding to each surplus energy source subregion.
In an embodiment, each initial energy source combination data in the plurality of initial energy source combination data corresponds to each initial energy source complementation strategy in the plurality of initial energy source complementation strategies in a one-to-one manner; and calculating which shortage energy sources are transmitted to the surplus energy source sub-region according to the principle that the surplus energy source sub-region is preferred. The method comprises the following specific steps:
it is determined which of the 5 types in the previous embodiment the surplus energy sub-regions can be categorized into.
Secondly, calculating an energy transmission distance matrix of the scheme to which the type belongs
X surplus energy sub-regions and y shortage energy sub-regions are arranged:
there is line loss in the energy delivery process, whether in the form of electricity or heat. If the electric energy is transmitted, the average loss of each kilometer of the line is recorded as Pekm; if thermal energy is transported, the average loss per kilometer of the line is Phkm. Once the cloud platform establishes an energy delivery relationship between renewable energy sources in the regional energy system, the average construction cost to period Tx of the renewable energy sources under the strategy is calculated as follows:
CTinvest＝{CTinvest1，CTinvest2，CTinvest3，…，CTinvests}
assuming that the prices of electricity sold and purchased in the whole regional energy system are uniform, mi surplus energy sub-areas and ki sub-areas needing energy purchase exist in the ith scheme, and the distance matrix of the scheme extracted from the transmission distance matrix is as follows:
assuming that only energy exchange between energy sub-areas is performed, and the power grid and the heat distribution pipeline network only act as a bridge, the benefit relation (i.e. the preset energy delivery benefit model) can be expressed as:
where ρ isesellSelling prices, rho, for electric energy in surplus sub-areashsellSelling price for heat energy, pebuyPurchase price of electric energy, rho, for sub-area of energy shortagehbuyPurchase price for heat energy, pnetworkFor selling electricity prices, rho, to the gridheatIs the official heat energy price. T isi≤TxIs the transaction time for the ith scenario. When (bf)i>At 0, the ith scheme enters the decision pool. The finally constructed decision pool for all energy sources is as follows:
BF＝{(bf)1，(bf)2，(bf)3，…，(bf)i，…，(bf)w}
and the decision pool comprises a target energy complementation strategy corresponding to each surplus energy subregion.
Further, r target energy complementation strategies exist in the decision pool for the same surplus energy sub-region, and one target energy complementation strategy needs to be selected from the r target energy complementation strategies and issued to the corresponding sub-region edge gateway. And if a decision needs to be issued to the v surplus energy sub-region, selecting all target energy complementation strategies associated with the decision pool from the decision pool, arranging the strategies in a descending order according to the (bf) value, issuing the first ordered target energy complementation strategy to the v surplus energy sub-region, and simultaneously opening an information channel of the shortage energy sub-region associated with the target energy complementation strategy to realize energy complementation between the surplus energy sub-region and the shortage energy sub-region.
Fig. 5 is a schematic flowchart of the refinement step of S104 in the embodiment of the present invention, and as shown in fig. 5, S104 includes:
step S501: generating a target instruction according to the target energy complementation strategy corresponding to each surplus energy subregion, and sending the target instruction to a subregion edge network corresponding to each surplus energy subregion;
step S502: and the sub-area edge network establishes communication between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area according to the target instruction so as to realize energy complementation between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area.
In an embodiment, after receiving the target energy complementation strategy issued by the cloud platform, the sub-region edge computing gateway establishes a communication link with the sub-region in short energy, and notifies the sub-region in short energy to send related information such as the microgrid address, the attribute of short energy, the power factor and the like of the received energy. After calculation, the sub-region edge calculation gateways form a local energy source transmission command matrix and send the local energy source transmission command matrix to the micro-grid in the administered region, so that energy source flow transmission is established by means of a public network. Meanwhile, the edge computing gateway starts timing, records and stores relevant parameters of local micro-grids and loads in real time, preprocesses the parameters and arranges key data. And after a period appointed with the cloud platform is timed, the sub-region edge computing gateway uploads the key data to the cloud platform so as to prepare the cloud platform for the next round of decision making.
Fig. 6 is a schematic diagram of another regional energy complementation method according to an embodiment of the present invention. As shown in fig. 6, a regional energy source complementation method of this embodiment includes:
step S601: receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, wherein the n sub-region edge gateways correspond to the n energy sub-regions one to one;
step S602: determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
step S603: determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
step S604: sending the target energy complementation strategies to sub-region edge gateways corresponding to the target energy complementation strategies, so that the sub-region edge gateways realize energy complementation among the n energy sub-regions according to the target energy complementation strategies;
step S605: receiving secondary energy data of the n energy sub-regions sent by the n sub-region edge gateways;
step S606: sequentially fusing and analyzing the initial energy data and the secondary energy data to generate new energy data;
step S607: and replacing the initial energy output data with the new energy data, and returning to execute the step of determining a plurality of initial energy complementation strategies corresponding to the n energy subregions according to the initial energy data and a preset divide-and-conquer algorithm.
In one embodiment, the energy complementation method of the present application, the time period for starting to perform energy complementation is set by an earlier stage, and energy complementation is performed all the time, one period after another period, so as to improve the utilization rate of regional energy.
Fig. 7 is a schematic diagram of another method for energy complementation in a region according to an embodiment of the present invention. As shown in fig. 7, a regional energy source complementation method of this embodiment includes:
step S701: receiving a plurality of target instructions sent by a cloud platform;
step S702: and realizing energy source complementation among the n energy source sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy source complementation strategies.
Fig. 8 is a schematic flowchart of the refinement step of S702 in the embodiment of the present invention, and as shown in fig. 8, S702 includes:
step S801: analyzing each target instruction in the plurality of target instructions to obtain a target energy complementation strategy corresponding to each target instruction;
step S802: matching the target energy complementation strategy with an actual energy complementation strategy corresponding to the target energy complementation strategy;
step S803: if the target energy complementation strategy is matched with the actual energy complementation strategy corresponding to the target energy complementation strategy, controlling the energy subareas associated with the target energy complementation strategy to communicate and complete energy complementation;
step S804: and if the target energy source complementation strategy is not matched with the actual energy source complementation strategy corresponding to the target energy source complementation strategy, feeding back a message to a cloud platform and carrying out energy source complementation according to the actual energy source complementation strategy.
In one embodiment, a plurality of target instructions correspond to the plurality of target energy complementation strategies one by one, each target instruction comprises a target energy complementation strategy, the edge gateway analyzes and matches the target instruction after receiving the target instruction, and executes a decision if the matching is successful, opens a channel set in the target energy complementation strategy, and performs information interaction with other sub-regions; and if the matching fails, the sub-region sends ACK rejecting the decision to the root node to the cloud platform, manages the corresponding energy sub-region according to the local target actual energy complementation strategy, and starts timing.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In one embodiment, as shown in fig. 9, there is provided a regional energy source complementation apparatus applied to a cloud platform, including: an initial data receiving module 901, an initial policy generating module 902, a target policy generating module 903 and an energy complementation module 904, wherein,
an initial data receiving module 901, configured to receive initial energy data of n energy sub-regions sent by n sub-region edge gateways, where the n sub-region edge gateways correspond to the n energy sub-regions one to one;
an initial strategy generation module 902, configured to determine, according to the initial energy data and a preset divide-and-conquer algorithm, a plurality of initial energy complementation strategies corresponding to the n energy sub-regions;
a target strategy generation module 903, configured to determine multiple target energy complementation strategies corresponding to the n energy sub-regions according to the multiple initial energy complementation strategies and a preset energy delivery benefit model;
an energy complementation module 904, configured to send the target energy complementation policies to a sub-area edge gateway corresponding to the target energy complementation policies, so that the sub-area edge gateway implements energy complementation between the n energy sub-areas according to the target energy complementation policies.
In one embodiment, the n energy sub-regions include m surplus energy sub-regions and k shortage energy sub-regions; the initial policy generation module 902 includes:
the first acquisition module is used for acquiring initial surplus energy data corresponding to the m surplus energy sub-areas and initial shortage energy data corresponding to the k shortage energy sub-areas;
the type distribution module is used for distributing the initial surplus energy data according to the types of surplus energy and distributing the initial shortage energy data according to the types of shortage energy to respectively obtain multiple types of initial surplus energy data and multiple types of initial shortage energy data;
the energy type construction module is used for matching the surplus energy types and the shortage energy types one by one according to the preset division algorithm to construct combined energy types;
the combined data determining module is used for distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the types of combined energy to obtain multi-type initial energy combined data;
and the initial strategy determining module is used for taking a plurality of initial energy combination data in the plurality of types of initial energy combination data as a plurality of initial energy complementation strategies corresponding to the n energy subregions.
In an embodiment, each initial energy source combination data in the plurality of initial energy source combination data corresponds to each initial energy source complementation strategy in the plurality of initial energy source complementation strategies in a one-to-one manner; the target policy generation module 903 includes:
the strategy searching module is used for searching an initial energy source complementation strategy corresponding to each surplus energy source sub-region from the plurality of initial energy source complementation strategies;
the matrix extraction module is used for extracting a distance matrix corresponding to the initial energy complementation strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combined data corresponding to the initial energy complementation strategy belongs;
the benefit calculation module is used for calculating the energy transmission benefit corresponding to each surplus subarea according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy transmission benefit model;
the strategy set determining module is used for summarizing the initial energy complementation strategies corresponding to the energy transmission benefits under the condition that the energy transmission benefits are larger than zero to obtain an initial energy complementation strategy set corresponding to each surplus subarea;
and the strategy selection module is used for arranging the initial energy source complementation strategies in the initial energy source complementation strategy set in a descending order according to the energy source transmission benefits, and selecting the initial energy source complementation strategy corresponding to the maximum energy source transmission benefit as the target energy source complementation strategy corresponding to each surplus energy source subregion.
In one embodiment, the energy source complementation module 904 comprises:
the instruction generating module is used for generating a target instruction according to the target energy complementation strategy corresponding to each surplus energy subregion and sending the target instruction to the subregion edge network corresponding to each surplus energy subregion;
and the communication establishing module is used for establishing communication between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area by the sub-area edge network according to the target instruction so as to realize energy complementation between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area.
In an embodiment, the energy source complementation module 904 further comprises:
the secondary data receiving module is used for receiving the secondary energy data of the n energy sub-regions sent by the n sub-region edge gateways;
the data updating module is used for sequentially fusing and analyzing the initial energy data and the secondary energy data to generate new energy data;
and the repeated execution module is used for replacing the initial energy output data with the new energy data and returning to execute the step of determining a plurality of initial energy complementation strategies corresponding to the n energy subregions according to the initial energy data and a preset divide-and-conquer algorithm.
In one embodiment, as shown in fig. 10, there is provided a regional energy complementation apparatus applied to a sub-region edge gateway, including: an instruction receiving module 1001 and an energy source complementing module 1002, wherein,
an instruction receiving module 1001, configured to receive a plurality of target instructions sent by a cloud platform;
an energy complementation module 1002, configured to implement energy complementation between the n energy sub-regions according to the target instructions, where the target instructions at least include a plurality of target energy complementation strategies.
In one embodiment, the target instructions correspond to the target energy complementation strategies one by one; the energy source complementation module 1002 comprises:
the instruction analysis module is used for analyzing each target instruction in the target instructions to obtain a target energy complementation strategy corresponding to each target instruction;
the strategy matching module is used for matching the target energy source complementation strategy with an actual energy source complementation strategy corresponding to the target energy source complementation strategy;
and the regional energy complementation module is used for controlling the energy subregions associated with the target energy complementation strategy to communicate and complete energy complementation if the target energy complementation strategy is matched with the actual energy complementation strategy corresponding to the target energy complementation strategy.
In one embodiment, the policy matching module further comprises:
and the regional energy autonomous module is used for feeding back a message to the cloud platform and performing energy complementation according to the actual energy complementation strategy if the target energy complementation strategy is not matched with the actual energy complementation strategy corresponding to the target energy complementation strategy.
Fig. 11 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 11, the terminal device 11 of this embodiment includes: a processor 1101, a memory 1102 and a computer program 1103 stored in said memory 1102 and executable on said processor 1101. The processor 1101, when executing the computer program 1103, implements the steps of the above-mentioned embodiments of the regional energy complementation method, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 1101, when executing the computer program 1103, implements the functions of each module/unit in each device embodiment described above, for example, the functions of the modules 901 to 904 shown in fig. 9.
Illustratively, the computer program 1103 may be partitioned into one or more modules/units that are stored in the memory 1102 and executed by the processor 1101 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 1103 in the terminal device 11. For example, the computer program 1103 may be divided into an initial data receiving module, an initial policy generating module, a target policy generating module, and an energy complementation module, and the specific functions of each module are as follows:
the device comprises an initial data receiving module, a data processing module and a data processing module, wherein the initial data receiving module is used for receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, and the n sub-region edge gateways correspond to the n energy sub-regions one to one;
the initial strategy generation module is used for determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
and the energy complementation module is used for sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies so as to enable the sub-area edge gateways to realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
The terminal device 11 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The 11 terminal devices may include, but are not limited to, a processor 1101, a memory 1102. Those skilled in the art will appreciate that fig. 11 is merely an example of a terminal device and is not limiting and may include more or fewer components than shown, or some components may be combined, or different components, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 1101 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 1102 may be an internal storage unit of the terminal device 11, such as a hard disk or a memory of the terminal device 11. The memory 1102 may also be an external storage device of the terminal device 11, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 11. Further, the memory 1102 may also include both an internal storage unit and an external storage device of the terminal device 11. The memory 1102 is used for storing the computer programs and other programs and data required by the terminal device. The memory 1102 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A regional energy source complementation method is applied to a cloud platform and is characterized by comprising the following steps:
receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, wherein the n sub-region edge gateways correspond to the n energy sub-regions one to one;
determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
and sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies, so that the sub-area edge gateways realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
2. The regional energy complementation method of claim 1 wherein the n energy sub-regions comprise m surplus energy sub-regions and k shortage energy sub-regions;
the determining a plurality of initial energy complementation strategies corresponding to the n energy subregions according to the initial energy data and a preset divide-and-conquer algorithm comprises the following steps:
acquiring initial surplus energy data corresponding to the m surplus energy subregions and initial shortage energy data corresponding to the k shortage energy subregions;
distributing the initial surplus energy data according to the types of surplus energy, and distributing the initial shortage energy data according to the types of shortage energy to respectively obtain multiple types of initial surplus energy data and multiple types of initial shortage energy data;
matching the types of the surplus energy sources and the types of the shortage energy sources one by one according to the preset division algorithm to construct the types of the combined energy sources;
distributing the multi-class initial surplus energy data and the multi-class initial shortage energy data according to the types of combined energy to obtain multi-class initial energy combination data;
and taking a plurality of initial energy combination data in the plurality of types of initial energy combination data as a plurality of initial energy complementation strategies corresponding to the n energy subregions.
3. The regional energy complementation method according to claim 2 wherein each of the plurality of initial energy combination data corresponds to each of the plurality of initial energy complementation strategies;
the determining a plurality of target energy complementation strategies corresponding to the n energy subregions according to the plurality of initial energy complementation strategies and a preset energy delivery benefit model comprises:
searching an initial energy source complementation strategy corresponding to each surplus energy source subregion from the plurality of initial energy source complementation strategies;
extracting a distance matrix corresponding to the initial energy complementation strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combined data corresponding to the initial energy complementation strategy belongs;
calculating energy transmission benefits corresponding to each surplus subarea according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy transmission benefit model;
under the condition that the energy transmission benefit is larger than zero, summarizing the initial energy complementation strategies corresponding to the energy transmission benefit to obtain an initial energy complementation strategy set corresponding to each surplus subarea;
and performing descending order arrangement on the initial energy source complementation strategies in the initial energy source complementation strategy set according to energy source transmission benefits, and selecting the initial energy source complementation strategy corresponding to the maximum energy source transmission benefit as the target energy source complementation strategy corresponding to each surplus energy source subregion.
4. The regional energy complementation method of claim 3 wherein the sending the target energy complementation strategies to the sub-region edge gateways corresponding to the target energy complementation strategies to enable the sub-region edge gateways to implement energy complementation between the n energy sub-regions according to the target energy complementation strategies comprises:
generating a target instruction according to the target energy complementation strategy corresponding to each surplus energy subregion, and sending the target instruction to a subregion edge network corresponding to each surplus energy subregion;
and the sub-area edge network establishes communication between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area according to the target instruction so as to realize energy complementation between each energy sub-area and the shortage energy sub-area corresponding to each energy sub-area.
5. The regional energy complementation method according to any one of claims 1 to 4, wherein the sending the target energy complementation strategies to the sub-region edge gateways corresponding to the target energy complementation strategies to enable the sub-region edge gateways to implement energy complementation between the n energy sub-regions according to the target energy complementation strategies further comprises:
receiving secondary energy data of the n energy sub-regions sent by the n sub-region edge gateways;
sequentially fusing and analyzing the initial energy data and the secondary energy data to generate new energy data;
and replacing the initial energy output data with the new energy data, and returning to execute the step of determining a plurality of initial energy complementation strategies corresponding to the n energy subregions according to the initial energy data and a preset divide-and-conquer algorithm.
6. A regional energy complementation method is applied to a sub-region edge gateway, and is characterized by comprising the following steps:
receiving a plurality of target instructions sent by a cloud platform;
and realizing energy source complementation among the n energy source sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy source complementation strategies.
7. The regional energy complementation method according to claim 6, wherein the target instructions correspond to the target energy complementation strategies one to one;
the implementing energy complementation between the n energy sub-regions according to the target instructions comprises:
analyzing each target instruction in the plurality of target instructions to obtain a target energy complementation strategy corresponding to each target instruction;
matching the target energy complementation strategy with an actual energy complementation strategy corresponding to the target energy complementation strategy;
and if the target energy complementation strategy is matched with the actual energy complementation strategy corresponding to the target energy complementation strategy, controlling the energy subareas associated with the target energy complementation strategy to communicate and complete energy complementation.
8. The regional energy complementation method according to claim 7, wherein after the matching of the target energy complementation strategy and the actual energy complementation strategy corresponding to the target energy complementation strategy, the method further comprises:
and if the target energy source complementation strategy is not matched with the actual energy source complementation strategy corresponding to the target energy source complementation strategy, feeding back a message to a cloud platform and carrying out energy source complementation according to the actual energy source complementation strategy.
9. The utility model provides a complementary device of regional energy, is applied to the cloud platform, its characterized in that includes:
the device comprises an initial data receiving module, a data processing module and a data processing module, wherein the initial data receiving module is used for receiving initial energy data of n energy sub-regions sent by n sub-region edge gateways, and the n sub-region edge gateways correspond to the n energy sub-regions one to one;
the initial strategy generation module is used for determining a plurality of initial energy source complementation strategies corresponding to the n energy source sub-regions according to the initial energy source data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy source complementation strategies corresponding to the n energy source subregions according to the plurality of initial energy source complementation strategies and a preset energy source transmission benefit model;
and the energy complementation module is used for sending the target energy complementation strategies to the sub-area edge gateways corresponding to the target energy complementation strategies so as to enable the sub-area edge gateways to realize energy complementation among the n energy sub-areas according to the target energy complementation strategies.
10. A regional energy source complementation device applied to a sub-region edge gateway is characterized by comprising:
the instruction receiving module is used for receiving a plurality of target instructions sent by the cloud platform;
and the energy source complementation module is used for realizing energy source complementation among the n energy source sub-regions according to the target instructions, wherein the target instructions at least comprise a plurality of target energy source complementation strategies.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110333368.XA CN112950063B (en) | 2021-03-29 | 2021-03-29 | Regional energy complementation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110333368.XA CN112950063B (en) | 2021-03-29 | 2021-03-29 | Regional energy complementation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112950063A true CN112950063A (en) | 2021-06-11 |
| CN112950063B CN112950063B (en) | 2023-05-09 |
Family
ID=76227124
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110333368.XA Active CN112950063B (en) | 2021-03-29 | 2021-03-29 | Regional energy complementation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112950063B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108494861A (en) * | 2018-03-28 | 2018-09-04 | 北京三快在线科技有限公司 | Method, apparatus and electronic equipment for Service Source allotment |
| CN110856183A (en) * | 2019-11-18 | 2020-02-28 | 南京航空航天大学 | Edge server deployment method based on heterogeneous load complementation and application |
| CN110887173A (en) * | 2019-11-27 | 2020-03-17 | 国网冀北电力有限公司 | Method and device for remotely controlling central air-conditioning system |
| CN111245025A (en) * | 2020-02-04 | 2020-06-05 | 国网河北省电力有限公司经济技术研究院 | Optimization method of operation strategy of comprehensive energy system, terminal equipment and storage medium |
| CN111310956A (en) * | 2018-12-11 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining scheduling strategy and electronic equipment |
| US20210075715A1 (en) * | 2018-05-31 | 2021-03-11 | Alibaba Group Holding Limited | Network Construction Method, System, and Routing Device |
-
2021
- 2021-03-29 CN CN202110333368.XA patent/CN112950063B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108494861A (en) * | 2018-03-28 | 2018-09-04 | 北京三快在线科技有限公司 | Method, apparatus and electronic equipment for Service Source allotment |
| WO2019184445A1 (en) * | 2018-03-28 | 2019-10-03 | 北京三快在线科技有限公司 | Service resource allocation |
| US20210075715A1 (en) * | 2018-05-31 | 2021-03-11 | Alibaba Group Holding Limited | Network Construction Method, System, and Routing Device |
| CN111310956A (en) * | 2018-12-11 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Method and device for determining scheduling strategy and electronic equipment |
| CN110856183A (en) * | 2019-11-18 | 2020-02-28 | 南京航空航天大学 | Edge server deployment method based on heterogeneous load complementation and application |
| CN110887173A (en) * | 2019-11-27 | 2020-03-17 | 国网冀北电力有限公司 | Method and device for remotely controlling central air-conditioning system |
| CN111245025A (en) * | 2020-02-04 | 2020-06-05 | 国网河北省电力有限公司经济技术研究院 | Optimization method of operation strategy of comprehensive energy system, terminal equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112950063B (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | AEBIS: AI-enabled blockchain-based electric vehicle integration system for power management in smart grid platform | |
| Jiang et al. | Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment | |
| Zia et al. | Microgrid transactive energy: Review, architectures, distributed ledger technologies, and market analysis | |
| CN109034840B (en) | Green certificate transaction method and system based on clean energy generation | |
| Wang et al. | Design of integrated energy market cloud service platform based on blockchain smart contract | |
| CN110826940B (en) | Distributed power transaction method in extensible multi-microgrid environment | |
| Liu et al. | Mechanism design for blockchain storage sustainability | |
| CN112907082B (en) | Block chain consensus algorithm evaluation optimization method | |
| CN111461890A (en) | Distributed power generation transaction system and method based on multiple prediction and block chain technologies | |
| CN114358929A (en) | Distributed energy centralized transaction method and system based on block chain | |
| CN109325537A (en) | Power utilization management method and device, computer equipment and storage medium | |
| CN113222690A (en) | Block chain consensus method applied to regional energy Internet | |
| CN112785429A (en) | Local area multi-microgrid power transaction pairing method based on block chain technology | |
| CN113177772B (en) | Service data processing method, device and system | |
| US20210326984A1 (en) | Power transaction data storage system based on private blockchain platform and method for verifying and distributedly storing power transaction data using the same | |
| CN112950063B (en) | Regional energy complementation method and device | |
| Ma et al. | Study on the transaction management mode of virtual power plants based on blockchain technology | |
| CN116452332A (en) | Power transaction data management method, system, terminal and storage medium | |
| CN111062766A (en) | Block chain-based electronic invoice issuing method and device | |
| CN114529376A (en) | Energy exchange data processing method and device, computer equipment and storage medium | |
| Zou et al. | Auction-based distributed efficient economic operations of microgrid systems | |
| CN115310538A (en) | Microgrid green electricity mark tracing method and device | |
| CN113870030A (en) | Multi-microgrid energy transaction mechanism design method based on improved Nash bargaining method | |
| Mu et al. | Peer-to-peer energy trading based on a hybrid blockchain system | |
| Yang et al. | Electricity Trading Model Based on Chaincode and Multi-stage Hybrid Auction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |