CN112950063B - Regional energy complementation method and device - Google Patents
Regional energy complementation method and device Download PDFInfo
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Abstract
The invention is applicable to the technical field of energy Internet, and provides a regional energy complementation method and device, comprising the following steps: receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways; determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm; determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model; and sending the target energy complementary strategies to a sub-region edge gateway corresponding to the target energy complementary strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the target energy complementary strategies. The cloud edge cooperative system is used for data collection and decision generation so as to utilize regional energy mass data to calculate, finish accurate decision and achieve efficient utilization of regional energy.
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, development and use of clean energy sources such as wind power, photovoltaic, biogas and the like in rural areas are gradually promoted, and the clean energy sources become power supply, heating and cooling for rural life and power supplement for agricultural production, and form a regional energy system in a characteristic village and town mode with a local power grid, a natural gas pipeline network and the like. The regional energy source refers to various forms and grades of energy sources required by people to produce and live in a specific region, and the regional energy source 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, the prior art mainly uses a framework of an electric power internet of things to construct an information acquisition network to acquire current data, so that information interaction between a cloud center and an energy main body is realized.
However, a large amount of data is simultaneously gushed to the cloud platform, so that congestion of a communication network and calculation pressure of the cloud platform are caused, and the regional energy utilization rate is low.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a regional energy source complementation method and device, so as to solve the problem of low regional energy source utilization rate in the prior art.
A first aspect of an embodiment of the present invention provides a regional energy complementary method, applied to a cloud platform, including:
receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas;
determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
and sending the target energy complementary strategies to a sub-region edge gateway corresponding to the target energy complementary strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the target energy complementary strategies.
A second aspect of the embodiment of the present invention provides a regional energy complementary method, applied to a regional edge gateway, including:
receiving a plurality of target instructions sent by a cloud platform;
and realizing energy complementation among the n energy sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy complementation strategies.
A third aspect of an embodiment of the present invention provides a regional energy complementary 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 subregions sent by n subregion edge gateways, and the n subregion edge gateways are in one-to-one correspondence with the n energy subregions;
the initial strategy generation module is used for determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
and the energy source complementation module is used for sending the plurality of target energy source complementation strategies to the sub-area edge gateway corresponding to the plurality of target energy source complementation strategies so that the sub-area edge gateway realizes energy source complementation among the n energy source sub-areas according to the plurality of target energy source complementation strategies.
A fourth aspect of an embodiment of the present invention provides a regional energy complementary apparatus, applied to a regional edge gateway, including:
The instruction receiving module is used for receiving a plurality of target instructions sent by the cloud platform;
and the energy complementation module is used for realizing energy complementation among the n energy subareas according to the plurality of target instructions, wherein the plurality of target instructions at least comprise a plurality of target energy complementation strategies.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the method comprises the steps of firstly receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, and determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm; determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model; and finally, the plurality of target energy complementary strategies are sent to the sub-area edge gateway corresponding to the plurality of target energy complementary strategies, so that the sub-area edge gateway realizes energy complementation among the n energy sub-areas according to the plurality of target energy complementary strategies. The cloud edge cooperative system is used for data collection and decision generation so as to utilize regional energy mass data to calculate, finish accurate decision and achieve efficient utilization of regional energy.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an implementation flow of a regional energy complementation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a cloud-edge cooperative area energy complementary system topology according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a process for implementing the refinement step of S102 in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a process for implementing the refinement step of S103 in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a process for implementing the refinement step of S104 in an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating an implementation flow of a regional energy source complementation method according to another embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating an implementation flow of a regional energy source complementation method according to another embodiment of the present invention;
FIG. 8 is a schematic diagram of a process for implementing the refinement step of S702 in an embodiment of the present invention;
FIG. 9 is a schematic structural view of a regional energy source complementary apparatus according to an embodiment of the present invention;
FIG. 10 is a schematic view of a regional energy source complementary apparatus according to another embodiment of the present invention;
fig. 11 is a schematic diagram of a terminal device provided in 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 the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present 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 illustrate the technical scheme of the invention, the following description is made by specific examples.
Fig. 1 is a schematic diagram of a regional energy source complementary method according to an embodiment of the 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-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas;
Step S102: determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
step S103: determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
step S104: and sending the target energy complementary strategies to a sub-region edge gateway corresponding to the target energy complementary strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the target energy complementary strategies.
In an embodiment, the method of the present application is described with reference to fig. 2, where a sub-area edge gateway collects initial energy data of each energy sub-area, and uploads the initial energy data to a cloud platform (i.e., a cloud platform service center, where the cloud platform service center includes an area energy dynamic decision unit for energy storage complementary policy), and the cloud platform service performs preprocessing on the initial energy data, where the preprocessing process is: converting the initial energy data into standardized knowledge to form an initial knowledge base, and extracting attributes and relations of the knowledge in the initial knowledge base to form preprocessed initial energy data. And determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the preprocessed initial energy data 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. In addition, each energy sub-region includes a plurality of micro-nets, each micro-net including a source, a reservoir, and a load.
The method comprises the steps of firstly receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, and determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm; determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model; and finally, the plurality of target energy complementary strategies are sent to the sub-area edge gateway corresponding to the plurality of target energy complementary strategies, so that the sub-area edge gateway realizes energy complementation among the n energy sub-areas according to the plurality of target energy complementary strategies. The cloud edge cooperative system is used for data collection and decision generation so as to utilize regional energy mass data to calculate, finish accurate decision and achieve efficient utilization of regional energy.
Fig. 3 is a flowchart illustrating a refinement step of S102 in the embodiment of the present invention, as shown in fig. 3, S102 includes:
step S301: acquiring initial surplus energy data corresponding to m surplus energy sub-areas and initial shortage energy data corresponding to k shortage energy sub-areas;
Step S302: the initial surplus energy data is distributed according to the surplus energy type, and the initial shortage energy data is distributed according to the shortage energy type, so that multiple types of initial surplus energy data and multiple types of initial shortage energy data are obtained respectively;
step S303: matching the types of the surplus energy and the types of the shortage energy one by one according to the preset divide-and-conquer algorithm to construct the types of the combined energy;
step S304: distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the type of the combined energy to obtain multi-type initial energy combined data;
step S305: and taking a plurality of initial energy combination data in the multi-class initial energy combination data as a plurality of initial energy complementary strategies corresponding to the n energy sub-areas.
In one embodiment, the method specifically includes the following steps:
1. energy sub-region classification
An area energy system is divided into n energy subareas, m renewable surplus energy subareas are arranged at the initial moment of a period Tx, and surplus power 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 renewable energy shortage subareas, which are related to loads, the shortage power is:
Pshortage＝{(Pel1，Phl1)，(Pel2，Phl2)，(Pel3，Phl3)，…，(Pelk，Phlk)}
Wherein Pel is the demand for electrical energy and Phl is the demand for thermal energy.
If renewable energy is conveyed, the energy of surplus subareas is consumed, so that expenditure of purchasing energy from the power grid and the natural gas pipeline network by the energy shortage subareas is reduced, and S schemes are adopted.
It is clear that there are unreasonable ones of these schemes, for example when pesi=0, which still participate in the energy transmission scheme of Pelj, which can be eliminated by preprocessing, thus reducing the subsequent calculation pressure.
The pretreatment method comprises the following steps:
(1) the surplus subareas are divided into three types according to the types of surplus energy sources:
P es-only ＝{P esi |i∈(1,2,3,…,m),and P hsi ＝0}
P hs-only ＝{P hsj |j∈(1,2,3,…,m),and P esj ＝0}
P es-hs ＝{(P esq ,P hsq )|q∈(1,2,3,…,m),and(P esq ≠0,P hsq ≠0)}
(2) similarly, the shortage subareas are classified into three categories according to the types of shortage energy sources:
P el-only ＝{P eli |i∈(1,2,3,…,k),and P hsi ＝0}
P hl-only ＝{P hlj |j∈(1,2,3,…,k),and P esj ＝0}
P el-hl ＝{(P esq ,P hsq )|q∈(1,2,3,…,k),and(P elq ≠0,P hlq ≠0)}
2. for the above classification, according to the principle of divide-and-conquer algorithm, the following 5 combinations are constructed:
P es-only ——P el-only
P hs-only ——P hl-only
P es-hs ——P el-only
P es-hs ——P hl-only
P es-hs ——P el-hl
3. the number of two aggregate elements in each combination is calculated, so that the following energy delivery scheme (namely an initial energy complementation strategy) is formed:
S′＝{S′ 1 ，S′ 2 ，S′ 3 ，S′ 4 ，S′ 5 }。
fig. 4 is a schematic flow chart of a refinement step of S103 in the embodiment of the present invention, as shown in fig. 4, S103 includes:
step S401: searching an initial energy complementary strategy corresponding to each surplus energy sub-region from the plurality of initial energy complementary strategies;
Step S402: extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs;
step S403: calculating the energy delivery benefit corresponding to each surplus region according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model;
step S404: summarizing initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, and obtaining an initial energy complementary strategy set corresponding to each surplus subarea;
step S405: and arranging the initial energy complementary strategies in the initial energy complementary strategy set in descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region.
In an embodiment, each of the plurality of initial energy combination data corresponds to each of the plurality of initial energy complementary policies one-to-one; and calculating which shortage energy source is transmitted to the sub-areas according to the principle of priority of the surplus energy sub-areas. The method comprises the following specific steps:
(1) Determining which of the 5 types in the previous embodiment may be categorized into the surplus energy sub-region.
(2) Calculating an energy transmission distance matrix of a scheme to which the type belongs
The system is provided with x surplus energy sub-areas and y shortage energy sub-areas:
the energy source is transported in an electric form or a thermal form, so that the energy source has line loss. If the electric energy is transmitted, the average loss of each kilometer line is recorded as Pekm; if heat energy is delivered, the average loss per kilometer line is Phkm. Once the cloud platform establishes an energy transportation relation for renewable energy sources in the regional energy system, calculating the average construction cost of the renewable energy sources under the strategy to the period Tx as follows:
CTinvest＝{CTinvest1，CTinvest2，CTinvest3，…，CTinvests}
assuming that the electricity selling and electricity purchasing price of the whole regional energy system is uniform, the ith scheme is provided with mi surplus energy subregions, ki subregions needing to purchase energy, and the distance matrix of the scheme is extracted from the transmission distance matrix as follows:
assuming only energy exchange between energy sub-areas, the grid and the thermodynamic pipeline network are just bridging functions, the benefit relation (i.e. the pre-set energy delivery benefit model) can be expressed as:
wherein ρ is esell Price for selling electric energy of surplus subarea, ρ hsell Price for heat energy, ρ ebuy Electric energy purchase price for energy shortage subarea, ρ hbuy Price for purchase of heat energy ρ network Price for electricity selling of power grid, ρ heat Is an official price of heat energy. T (T) i ≤T x Is the transaction time of the ith scheme. When (bf) i >When 0, the ith scheme enters a decision pool. The final decision pool of all the energy sources is:
BF＝{(bf) 1 ，(bf) 2 ，(bf) 3 ，…，(bf) i ，…，(bf) w }
the decision pool comprises target energy complementary strategies corresponding to each surplus energy sub-region.
Further, r target energy complementary strategies exist for the same surplus energy subarea in the decision pool, and one target energy complementary strategy needs to be selected from the r target energy complementary strategies and is issued to the corresponding subarea edge gateway. And if a decision needs to be issued to the v surplus energy subarea, selecting all target energy complementation strategies related to the decision-making pool, arranging the target energy complementation strategies in descending order according to (bf) values, issuing the first target energy complementation strategy to the v surplus energy subarea, and simultaneously opening an information channel of the shortage energy subarea related to the target energy complementation strategy so as to realize energy complementation between the surplus energy subarea and the shortage energy subarea.
Fig. 5 is a schematic flow chart of the refinement step of S104 in the embodiment of the present invention, as shown in fig. 5, S104 includes:
Step S501: generating a target instruction according to a target energy complementary strategy corresponding to each surplus energy sub-region, and sending the target instruction to a sub-region edge network corresponding to each surplus energy sub-region;
step S502: and the sub-region edge network establishes communication between each energy sub-region and the corresponding shortage energy sub-region of each energy sub-region according to the target instruction so as to realize energy complementation between each energy sub-region and the corresponding shortage energy sub-region of each energy sub-region.
In an embodiment, after receiving the target energy complementary strategy issued by the cloud platform, the sub-area edge computing gateway establishes a communication link with the shortage energy sub-area, and notifies the shortage energy sub-area to send related information such as a micro-grid address, a shortage energy attribute, a power element and the like of the received energy. After calculation, the sub-area edge calculation gateway forms a local energy delivery command matrix and issues to the micro-network of the administered area, thereby establishing the delivery of energy sources by means of the public network. And simultaneously, the edge computing gateway starts timing, records and stores relevant parameters of local micro networks and loads in real time, and performs preprocessing to sort out key data. And after timing to a period appointed by the cloud platform, uploading key data to the cloud platform by the sub-region edge computing gateway so as to prepare the cloud platform for the next round of decision.
FIG. 6 is a schematic diagram of another method for regional energy complementation according to an embodiment of the present invention. As shown in fig. 6, a regional energy complementation method of this embodiment includes:
step S601: receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas;
step S602: determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
step S603: determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
step S604: transmitting the target energy complementary strategies to a sub-region edge gateway corresponding to the target energy complementary strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the target energy complementary strategies;
step S605: receiving secondary energy data of the n energy sub-areas sent by the n sub-area edge gateways;
step S606: sequentially fusing the initial energy data and the secondary energy data, and performing association analysis to generate new energy data;
Step S607: and replacing the initial energy source data with the new energy source data, and returning to the step of executing a plurality of initial energy source complementary strategies corresponding to the n energy source subregions according to the initial energy source data and a preset divide-and-conquer algorithm.
In an embodiment, the energy source complementation method starts to execute the energy source complementation for a period of time set by a pre-stage, and the energy source complementation is performed all the time, one period after the other, so as to improve the utilization rate of regional energy sources.
FIG. 7 is a schematic diagram of another method for regional energy complementation according to an embodiment of the present invention. As shown in fig. 7, a regional energy complementation method of this embodiment includes:
step S701: receiving a plurality of target instructions sent by a cloud platform;
step S702: and realizing energy complementation among the n energy sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy complementation strategies.
Fig. 8 is a flowchart illustrating a refinement step of S702 in the embodiment of the present invention, as shown in fig. 8, S702 includes:
step S801: analyzing each target instruction in the plurality of target instructions to obtain a target energy complementary strategy corresponding to each target instruction;
Step S802: matching the target energy complementary strategy with an actual energy complementary strategy corresponding to the target energy complementary strategy;
step S803: if the target energy complementary strategy is matched with the actual energy complementary strategy corresponding to the target energy complementary strategy, controlling the energy sub-areas associated with the target energy complementary strategy to communicate and complete energy complementation;
step S804: and if the target energy complementary strategy is not matched with the actual energy complementary strategy corresponding to the target energy complementary strategy, feeding back a message to the cloud platform and carrying out energy complementation according to the actual energy complementary strategy.
In an embodiment, a plurality of target instructions are in one-to-one correspondence with the plurality of target energy complementary strategies, the target instructions comprise target energy complementary strategies, the edge gateway analyzes and matches the target instructions with the local actual energy complementary strategies after receiving the target instructions, and if the matching is successful, the decision is executed, and a channel set in the target energy complementary strategies is opened to interact information with other subareas; if the matching fails, the sub-region sends ACK refusing the decision to the root node to the cloud platform, manages the corresponding energy sub-region according to the local target actual energy complementary strategy, and starts timing.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In one embodiment, as shown in fig. 9, there is provided a regional energy complementary 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-areas sent by n sub-area edge gateways, where the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas;
the initial policy generation module 902 is configured to determine a plurality of initial energy complementary policies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
the target policy generating module 903 is configured to determine a plurality of target energy complementary policies corresponding to the n energy sub-areas according to the plurality of initial energy complementary policies and a preset energy delivery benefit model;
and the energy source complementation module 904 is configured to send the multiple target energy source complementation policies to a sub-area edge gateway corresponding to the multiple target energy source complementation policies, so that the sub-area edge gateway realizes energy source complementation among the n energy sub-areas according to the multiple target energy source complementation policies.
In an 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 subareas and initial shortage energy data corresponding to the k shortage energy subareas;
the type distribution module is used for distributing the initial surplus energy data according to the type of surplus energy and distributing the initial shortage energy data according to the type 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 carrying out one-to-one matching on the type of the surplus energy and the type of the shortage energy according to the preset divide-and-conquer algorithm to construct the type of the combined energy;
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 type 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 complementary strategies corresponding to the n energy subareas.
In an embodiment, each of the plurality of initial energy combination data corresponds to each of the plurality of initial energy complementary policies one-to-one; the target policy generation module 903 includes:
the strategy searching module is used for searching the initial energy complementary strategy corresponding to each surplus energy sub-region from the plurality of initial energy complementary strategies;
the matrix extraction module is used for extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs;
the benefit calculation module is used for calculating the energy delivery benefit corresponding to each surplus subarea according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model;
the strategy set determining module is used for summarizing the initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, so as to obtain an initial energy complementary strategy set corresponding to each surplus subarea;
and the strategy selection module is used for arranging the initial energy complementary strategies in the initial energy complementary strategy set in a descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region.
In one embodiment, the energy source complementary module 904 includes:
the instruction generation module is used for generating a target instruction according to a target energy complementary strategy corresponding to each surplus energy sub-area and sending the target instruction to a sub-area edge network corresponding to each surplus energy sub-area;
and the communication module is used for establishing communication between each energy subarea and the corresponding shortage energy subarea of each energy subarea according to the target instruction so as to realize energy complementation between each energy subarea and the corresponding shortage energy subarea of each energy subarea.
In an embodiment, after the energy complementary module 904, the method further includes:
the secondary data receiving module is used for receiving secondary energy data of the n energy sub-areas sent by the n sub-area edge gateways;
the data updating module is used for sequentially fusing the initial energy data and the secondary energy data and analyzing the association degree 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 complementary strategies corresponding to the n energy sub-areas 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 complementary apparatus applied to a subregion edge gateway, including: an instruction receiving module 1001 and an energy complementation module 1002, wherein,
the instruction receiving module 1001 is configured to receive a plurality of target instructions sent by the cloud platform;
the energy complementary module 1002 is configured to implement energy complementation among the n energy sub-regions according to the plurality of target instructions, where the plurality of target instructions at least includes a plurality of target energy complementation policies.
In one embodiment, the plurality of target instructions are in one-to-one correspondence with the plurality of target energy complementary policies; the energy complementary module 1002 includes:
the instruction analysis module is used for analyzing each target instruction in the plurality of target instructions to obtain a target energy complementary strategy corresponding to each target instruction;
the strategy matching module is used for matching the target energy complementary strategy with an actual energy complementary strategy corresponding to the target energy complementary strategy;
and the regional energy complementary module is used for controlling the energy sub-regions associated with the target energy complementary strategy to communicate and complete energy complementation if the target energy complementary strategy is matched with the actual energy complementary strategy corresponding to the target energy complementary strategy.
In one embodiment, after the policy matching module, the method further includes:
the regional energy source self-treatment module is used for feeding back a message to the cloud platform and carrying out energy source complementation according to the actual energy source complementation strategy 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.
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 implements the steps of the above-described respective regional energy source complementary method embodiments, such as steps 101 to 104 shown in fig. 1, when executing the computer program 1103. Alternatively, the processor 1101 implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 901 to 904 shown in fig. 9, when executing the computer program 1103.
By way of example, 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 accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions for describing the execution 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 complementary module, where each module specifically functions 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 subregions sent by n subregion edge gateways, and the n subregion edge gateways are in one-to-one correspondence with the n energy subregions;
the initial strategy generation module is used for determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
and the energy source complementation module is used for sending the plurality of target energy source complementation strategies to the sub-area edge gateway corresponding to the plurality of target energy source complementation strategies so that the sub-area edge gateway realizes energy source complementation among the n energy source sub-areas according to the plurality of target energy source complementation strategies.
The terminal device 11 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The 11 terminal device may include, but is not limited to, a processor 1101, a memory 1102. It will be appreciated by those skilled in the art that fig. 11 is merely an example of a terminal device and is not meant to be limiting, and that more or fewer components than shown may be included, or certain components may be combined, or different components may be included, for example, the terminal device may also include input and output devices, network access devices, buses, etc.
The processor 1101 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 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) or 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 program 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-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a 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 process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
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 solution. 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 manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (8)
1. The regional energy complementation method is applied to a cloud platform and is characterized by comprising the following steps of:
receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas;
determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
transmitting the target energy complementary strategies to a sub-region edge gateway corresponding to the target energy complementary strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the target energy complementary strategies;
The n energy sub-areas comprise m surplus energy sub-areas and k shortage energy sub-areas;
the determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm comprises:
acquiring initial surplus energy data corresponding to m surplus energy sub-areas and initial shortage energy data corresponding to k shortage energy sub-areas;
the initial surplus energy data is distributed according to the surplus energy type, and the initial shortage energy data is distributed according to the shortage energy type, so that multiple types of initial surplus energy data and multiple types of initial shortage energy data are obtained respectively;
matching the types of the surplus energy and the types of the shortage energy one by one according to the preset divide-and-conquer algorithm to construct the types of the combined energy;
distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the type of the combined energy to obtain multi-type initial energy combined data;
taking a plurality of initial energy combination data in the multi-class initial energy combination data as a plurality of initial energy complementary strategies corresponding to the n energy sub-areas;
Each initial energy combination data in the plurality of initial energy combination data corresponds to each initial energy complementation strategy in the plurality of initial energy complementation strategies one by one;
the determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy delivery benefit model comprises the following steps:
searching an initial energy complementary strategy corresponding to each surplus energy sub-region from the plurality of initial energy complementary strategies;
extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs;
calculating the energy delivery benefit corresponding to each surplus region according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model;
summarizing initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, and obtaining an initial energy complementary strategy set corresponding to each surplus subarea;
and arranging the initial energy complementary strategies in the initial energy complementary strategy set in descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region.
2. The regional energy complementation method according to claim 1, wherein the sending the plurality of target energy complementation strategies to the sub-region edge gateway corresponding to the plurality of target energy complementation strategies, so that the sub-region edge gateway realizes energy complementation among the n energy sub-regions according to the plurality of target energy complementation strategies, comprises:
generating a target instruction according to a target energy complementary strategy corresponding to each surplus energy sub-region, and sending the target instruction to a sub-region edge network corresponding to each surplus energy sub-region;
and the sub-region edge network establishes communication between each energy sub-region and the corresponding shortage energy sub-region of each energy sub-region according to the target instruction so as to realize energy complementation between each energy sub-region and the corresponding shortage energy sub-region of each energy sub-region.
3. The regional energy complementation method according to any one of claims 1-2, wherein after the sending the plurality of target energy complementation strategies to the sub-region edge gateway corresponding to the plurality of target energy complementation strategies, the sub-region edge gateway implementing the energy complementation among the n energy sub-regions according to the plurality of target energy complementation strategies, further comprises:
Receiving secondary energy data of the n energy sub-areas sent by the n sub-area edge gateways;
sequentially fusing the initial energy data and the secondary energy data, and performing association analysis to generate new energy data;
and replacing the initial energy source data with the new energy source data, and returning to the step of executing a plurality of initial energy source complementary strategies corresponding to the n energy source subregions according to the initial energy source data and a preset divide-and-conquer algorithm.
4. The regional energy complementation method is applied to the regional edge gateway and is characterized by comprising the following steps:
receiving a plurality of target instructions sent by a cloud platform; the cloud platform generates the target instruction by the following method: receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas, and the n energy sub-areas comprise m surplus energy sub-areas and k shortage energy sub-areas; acquiring initial surplus energy data corresponding to m surplus energy sub-areas and initial shortage energy data corresponding to k shortage energy sub-areas; the initial surplus energy data is distributed according to the surplus energy type, and the initial shortage energy data is distributed according to the shortage energy type, so that multiple types of initial surplus energy data and multiple types of initial shortage energy data are obtained respectively; matching the types of the surplus energy and the types of the shortage energy one by one according to a preset divide-and-conquer algorithm to construct the types of the combined energy; distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the type of the combined energy to obtain multi-type initial energy combined data; taking a plurality of initial energy combination data in the multi-class initial energy combination data as a plurality of initial energy complementary strategies corresponding to the n energy sub-areas; each initial energy combination data in the plurality of initial energy combination data corresponds to each initial energy complementation strategy in the plurality of initial energy complementation strategies one by one; searching an initial energy complementary strategy corresponding to each surplus energy sub-region from the plurality of initial energy complementary strategies; extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs; calculating the energy delivery benefit corresponding to each surplus region according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model; summarizing initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, and obtaining an initial energy complementary strategy set corresponding to each surplus subarea; arranging the initial energy complementary strategies in the initial energy complementary strategy set in descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region; generating a target instruction according to a target energy complementary strategy corresponding to each surplus energy sub-region;
And realizing energy complementation among the n energy sub-areas according to the target instructions, wherein the target instructions at least comprise a plurality of target energy complementation strategies.
5. The regional energy complementation method according to claim 4, wherein the plurality of target instructions are in one-to-one correspondence with the plurality of target energy complementation strategies;
the realizing the energy complementation among the n energy sub-areas according to the target instructions comprises the following steps:
analyzing each target instruction in the plurality of target instructions to obtain a target energy complementary strategy corresponding to each target instruction;
matching the target energy complementary strategy with an actual energy complementary strategy corresponding to the target energy complementary strategy;
and if the target energy complementary strategy is matched with the actual energy complementary strategy corresponding to the target energy complementary strategy, controlling the energy sub-areas associated with the target energy complementary strategy to communicate and complete energy complementation.
6. The regional energy source complementation method according to claim 5, wherein after the matching the target energy source complementation strategy with the actual energy source complementation strategy corresponding to the target energy source complementation strategy, further comprises:
And if the target energy complementary strategy is not matched with the actual energy complementary strategy corresponding to the target energy complementary strategy, feeding back a message to the cloud platform and carrying out energy complementation according to the actual energy complementary strategy.
7. An area energy complementary device, applied to a cloud platform, comprising:
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 subregions sent by n subregion edge gateways, and the n subregion edge gateways are in one-to-one correspondence with the n energy subregions;
the initial strategy generation module is used for determining a plurality of initial energy complementary strategies corresponding to the n energy sub-areas according to the initial energy data and a preset divide-and-conquer algorithm;
the target strategy generation module is used for determining a plurality of target energy complementary strategies corresponding to the n energy sub-areas according to the plurality of initial energy complementary strategies and a preset energy conveying benefit model;
the energy source complementation module is used for sending the plurality of target energy source complementation strategies to the sub-region edge gateway corresponding to the plurality of target energy source complementation strategies so that the sub-region edge gateway realizes energy source complementation among the n energy source sub-regions according to the plurality of target energy source complementation strategies;
The n energy sub-areas comprise m surplus energy sub-areas and k shortage energy sub-areas;
the initial strategy generation module is specifically configured to obtain initial surplus energy data corresponding to m surplus energy sub-areas and initial shortage energy data corresponding to k shortage energy sub-areas; the initial surplus energy data is distributed according to the surplus energy type, and the initial shortage energy data is distributed according to the shortage energy type, so that multiple types of initial surplus energy data and multiple types of initial shortage energy data are obtained respectively; matching the types of the surplus energy and the types of the shortage energy one by one according to the preset divide-and-conquer algorithm to construct the types of the combined energy; distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the type of the combined energy to obtain multi-type initial energy combined data; taking a plurality of initial energy combination data in the multi-class initial energy combination data as a plurality of initial energy complementary strategies corresponding to the n energy sub-areas;
each initial energy combination data in the plurality of initial energy combination data corresponds to each initial energy complementation strategy in the plurality of initial energy complementation strategies one by one;
The target strategy generation module is specifically configured to search an initial energy complementary strategy corresponding to each surplus energy sub-region from the multiple initial energy complementary strategies; extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs; calculating the energy delivery benefit corresponding to each surplus region according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model; summarizing initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, and obtaining an initial energy complementary strategy set corresponding to each surplus subarea; and arranging the initial energy complementary strategies in the initial energy complementary strategy set in descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region.
8. A regional energy complementation apparatus for use in a regional edge gateway, comprising:
The instruction receiving module is used for receiving a plurality of target instructions sent by the cloud platform; the cloud platform generates the target instruction by the following method: receiving initial energy data of n energy sub-areas sent by n sub-area edge gateways, wherein the n sub-area edge gateways are in one-to-one correspondence with the n energy sub-areas, and the n energy sub-areas comprise m surplus energy sub-areas and k shortage energy sub-areas; acquiring initial surplus energy data corresponding to m surplus energy sub-areas and initial shortage energy data corresponding to k shortage energy sub-areas; the initial surplus energy data is distributed according to the surplus energy type, and the initial shortage energy data is distributed according to the shortage energy type, so that multiple types of initial surplus energy data and multiple types of initial shortage energy data are obtained respectively; matching the types of the surplus energy and the types of the shortage energy one by one according to a preset divide-and-conquer algorithm to construct the types of the combined energy; distributing the multi-type initial surplus energy data and the multi-type initial shortage energy data according to the type of the combined energy to obtain multi-type initial energy combined data; taking a plurality of initial energy combination data in the multi-class initial energy combination data as a plurality of initial energy complementary strategies corresponding to the n energy sub-areas; each initial energy combination data in the plurality of initial energy combination data corresponds to each initial energy complementation strategy in the plurality of initial energy complementation strategies one by one; searching an initial energy complementary strategy corresponding to each surplus energy sub-region from the plurality of initial energy complementary strategies; extracting a distance matrix corresponding to the initial energy complementary strategy from an energy transmission distance matrix corresponding to the type of the combined energy to which the initial energy combination data corresponding to the initial energy complementary strategy belongs; calculating the energy delivery benefit corresponding to each surplus region according to the distance matrix corresponding to the initial energy complementation strategy and the preset energy delivery benefit model; summarizing initial energy complementary strategies corresponding to the energy delivery benefit under the condition that the energy delivery benefit is greater than zero, and obtaining an initial energy complementary strategy set corresponding to each surplus subarea; arranging the initial energy complementary strategies in the initial energy complementary strategy set in descending order according to the energy conveying benefit, and selecting the initial energy complementary strategy corresponding to the maximum energy conveying benefit as the target energy complementary strategy corresponding to each surplus energy sub-region; generating a target instruction according to a target energy complementary strategy corresponding to each surplus energy sub-region;
And the energy complementation module is used for realizing energy complementation among the n energy subareas according to the plurality of target instructions, wherein the plurality of target instructions at least comprise a plurality of target energy complementation strategies.
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