CN111697704A - Power supply information processing method of smart power grid - Google Patents
Power supply information processing method of smart power grid Download PDFInfo
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- CN111697704A CN111697704A CN202010635402.4A CN202010635402A CN111697704A CN 111697704 A CN111697704 A CN 111697704A CN 202010635402 A CN202010635402 A CN 202010635402A CN 111697704 A CN111697704 A CN 111697704A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to a power supply information processing method of a smart grid, which comprises the following steps: step 1: the distributed nodes report self space-time-parameter integrated acquisition information to a scheduling center; step 2: the dispatching center clusters and groups the power supply source and the distributed nodes according to a preset rule 1; and step 3: the scheduling center determines a power supply gating strategy and sends the power supply gating strategy to each distributed node; and 4, step 4: and each distributed node completes power supply source gating based on a gating strategy and supplies power to the region under the jurisdiction. The invention can optimize the information acquisition effectiveness of the power system, realize the information acquisition of the power system in a real-time integration of space, time and parameter, optimize and allocate power supply information based on the information acquisition result and improve the power supply efficiency.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a power supply information processing method of an intelligent power grid.
Background
Electric energy is widely used as a clean and efficient energy source in various fields of human social life, such as: lighting, production, traffic, communications, etc. With the rapid development of the power industry, the power system gradually becomes intelligent, so that the scientific management degree of the power system is improved, and the electric energy is more reasonably and fully utilized to serve various industries.
In the intelligent evolution process of the power system, the processing processes of information collection, information analysis and closed-loop improvement are basic methods for intelligently implementing the optimization and the improvement of the benefit of the power system. Therefore, information collection is the basis, and if the dimensionality of information collection is rich, the analysis model which can touch new application is convenient to substitute, and finally the problem which is more effective is solved.
However, in the prior art, regarding information acquisition of the power system, more information is returned by relying on elements inside the system and utilizing a power line, information dimensionality is limited, and the information acquisition expectation of the space, time and parameter real-time integration cannot be achieved, so that how to establish a fusion system, improve the information acquisition effectiveness of the power system, achieve the information acquisition expectation of the space, time and parameter real-time integration, and achieve new application improvement through an innovative analysis model is a problem to be solved in the prior art.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the invention can optimize the information acquisition effectiveness of the power system, realize the information acquisition of the power system in a real-time and space-time integrated manner, optimize and allocate power supply information based on the information acquisition result and improve the power supply efficiency.
The technical scheme adopted by the invention for solving the problems in the prior art is as follows:
a power supply information processing method of a smart grid comprises the following steps:
step 1: the distributed nodes report self space-time-parameter integrated acquisition information to a scheduling center;
step 2: the dispatching center clusters and groups the power supply source and the distributed nodes according to a preset rule 1;
and step 3: the scheduling center determines a power supply gating strategy and sends the power supply gating strategy to each distributed node;
and 4, step 4: and each distributed node completes power supply source gating based on a gating strategy and supplies power to the region under the jurisdiction.
Preferably, in step 1, the reporting mode in which the distributed node reports its own space-time parameter integrated acquisition information to the scheduling center may be based on that after the scheduling center subsystem sets a reporting period of the distributed node subsystem, the distributed node subsystem reports the acquisition information to the scheduling center subsystem according to the period.
Preferably, in step 1, the reporting mode in which the distributed node reports its own space-time-parameter integrated acquisition information to the scheduling center may be based on the scheduling center subsystem sending a trigger event to the distributed node subsystem, and the distributed node subsystem reporting the acquisition information to the scheduling center subsystem after receiving the trigger event.
Preferably, in step 1, the space-time parameter integrated acquisition information at least includes identification, location information, time information, and power consumption information of the distributed node subsystem.
Preferably, the rule 1 preset in step 2 specifically refers to at least a natural day type DayType when clustering grouping is presetiAnd the time interval type in the natural dayj。
Preferably, in step 2, the specific method for the scheduling center to perform cluster grouping on the power supply source and the distributed nodes according to the preset rule 1 is as follows:
step 2.1, counting each DayType based on the historical information collected in the step 1iNext respective TimeInterval typejLower distributed nodes DisNodekPower consumption of (2)k,i,j；
Step 2.2, statistics of each DisNodekWith each power supplywPower loss value of PowerLossw,k；
Step 2.3, according to the preset electric quantity utilization ratio of each power supply source lower than the safety threshold RatewValue and total power loss value PowerLoss of power supply systemw,kThe minimization principle groups the distributed nodes with the power supply.
Preferably, the power loss value PowerLoss in step 2.2w,kThe statistical method comprises the following steps: according to DisnodekPosition information and PowerProviderwThen, the actual line distance between the two points is calculated based on the power supply line diagram, and then the power loss value PowerLoss between the two points is calculated according to the line distancew,k。
Preferably, the method for grouping the distributed node with the power supply source in step 2.3 is as follows: the grouping method is to one DayTypeiInner one TimeInterval typejAre grouped underIn one group, the power supply source comprises at least one distributed node, and one distributed node is in a DayTypeiInner one TimeInterval typejUnder the condition of being subordinate to only one power supplywThereby forming respective DayTypesiEvery TimeInterval typejLower DisnodekAnd PowerProviderwGrouping of clusters of (i.e., for each DisNode under the same cluster during the time period)kGating the same PowerProviderwAnd power supply is carried out, so that the power loss is minimized.
Preferably, in step 3, the dispatch center subsystem generates every DayTypeiEvery next TimeInterval typejAnd sends the strategy to each distributed node DisNodek。
Preferably, in step 4, each distributed node is configured to select a gating strategy according to the gating strategy, and each DayType is used for selecting a gating strategy according to the gating strategyiEvery next TimeInterval typejAnd at the starting moment, completing power supply source gating and supplying power to the region under jurisdiction according to a gating strategy.
Compared with the prior art, the invention has the following beneficial effects:
by adopting the power supply information processing method of the smart power grid, the space-time parameter integrated historical acquisition information base is established, then the power supply sources and the distributed nodes are clustered and grouped based on the power loss minimization principle, so that a power supply source gating strategy with high energy efficiency is formed, and the power supply efficiency of a power supply system can be effectively improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a frame diagram of a novel processing device for power supply of a smart grid based on which a method for processing power supply information of the smart grid according to the present invention is provided,
fig. 2 is a diagram of the power system architecture on which the present invention is based.
Detailed Description
The accompanying drawings are preferred embodiments of the power supply information processing method for the smart grid, and the invention is further described in detail with reference to the accompanying drawings.
A power supply information processing method of a smart power grid is applied to the interior of a power supply system, and the power supply system is composed of at least one power supply source, at least one distributed node and a dispatching center. Wherein the power supply source is responsible for providing the electric energy; the distributed nodes are responsible for gating the selectable power supply and supplying power to the region under the jurisdiction; and the dispatching center is responsible for generating a gating strategy and issuing a power supply gating strategy to each distributed node.
A power supply information processing method of a smart grid specifically comprises the following steps:
step 1: the distributed nodes report self space-time-parameter integrated acquisition information to a scheduling center;
step 2: the dispatching center clusters and groups the power supply source and the distributed nodes according to a preset rule 1;
and step 3: the scheduling center determines a power supply gating strategy and sends the power supply gating strategy to each distributed node;
and 4, step 4: and each distributed node completes power supply source gating based on the gating strategy and supplies power to the region under the jurisdiction.
In step 1, the reporting mode of reporting the self space-time-parameter integrated acquisition information to the scheduling center by the distributed node can be based on that after the scheduling center subsystem sets the reporting period of the distributed node subsystem, the distributed node subsystem reports the acquisition information to the scheduling center subsystem according to the period; or sending a trigger event to the distributed node subsystem based on the scheduling center subsystem, and reporting the acquired information to the scheduling center subsystem after the distributed node subsystem receives the trigger event.
In step 1, the space-time parameter integrated acquisition information at least comprises identification, position information, time information and power consumption information of the distributed node subsystem.
In step 2, the preset rule 1 specifically refers to at least a natural day type DayType when clustering grouping is presetiAnd the time interval type in the natural dayj(wherein i 1.. gth, MaxDayType; j 1.. gth, MaxTimeIntervalType). Typically, DayTypeiCan be divided into working days, weekends, holidays and TimeintervalTypejIs divided into a day time period (6:00-18:00), an evening time period (18:00-24:00) and a morning time period (0:00-6: 00).
In step 2, the specific method for clustering and grouping the power supply source and the distributed nodes according to the preset rule 1 is as follows:
step 2.1, counting each DayType based on the historical information collected in the step 1iNext respective TimeInterval typejLower distributed nodes DisNodekPower consumption of (2)k,i,j(wherein k ═ 1, ·, MaxDisNode);
step 2.2, statistics of each DisNodekWith each power supplywPower loss value of PowerLossw,k(wherein w 1.,. ma xpowerprovider, PowerProvider)wThe total power supply amount ofw) The statistical method of the power loss value is according to the DisNodekPosition information and PowerProviderwThen, the actual line distance between the two points is calculated based on the power supply line diagram, and then the power loss value PowerLoss between the two points is calculated according to the line distancew,k；
Step 2.3, according to the preset electric quantity utilization ratio of each power supply source lower than the safety threshold RatewValue and total power loss value PowerLoss of power supply systemw,kThe distributed nodes and the power supply source are grouped on the principle of minimization, and the grouping is performed by aiming at one DayTypeiInner one TimeInterval typejGrouping of where in one grouping the one power supply comprises at least one distributed node, one distributed node being in a DayTypeiInner one TimeInterval typejUnder the condition of being subordinate to only one power supplywThereby forming respective DayTypesiEvery TimeInterval typejLower DisnodekAnd PowerProviderwGrouping of clusters of (i.e., for each DisNode under the same cluster during the time period)kGating the same PowerProviderwAnd power supply is carried out, so that the power loss is minimized.
In step 3, the scheduling center subsystem generates every DayTypeiEvery next TimeInterval typejAnd sends the strategy to each distributed node DisNodek。
In step 4, each distributed node is based on the gating strategy and is in every DayTypeiEvery next TimeInterval typejAnd at the starting moment, completing power supply source gating and supplying power to the region under jurisdiction according to a gating strategy.
A power supply information processing method of a smart grid comprises a power supply information processing device of the smart grid, which is shown in the attached figure 1, and the power supply information processing device of the smart grid comprises the following steps: the system comprises a distributed node subsystem, a dispatching center subsystem and a power supply subsystem.
The distributed node subsystem: the subsystem is responsible for reporting the space-time-parameter integrated acquisition information of the node to the scheduling center subsystem, executing power supply gating according to gating measurement issued by the scheduling center subsystem and realizing power supply service for a controlled area;
the dispatching center subsystem: determining a power supply source gating strategy according to the space-time parameter integrated historical acquisition information, and issuing the power supply source gating strategy to a distributed node subsystem and a power supply source;
the power supply subsystem: and determining whether the power supply is started or not according to the strategy of the dispatching center subsystem.
The specific embodiment of the power supply information processing method of the smart grid comprises the following steps:
as shown in FIG. 2, in this embodiment, MaxCayType equals 3, MaxTimeIntervalType equals 3, MaxDissNode equals 5, MaxPurprovider equals 3, and thus, DayTypei(where i ═ 1,.. 3), TimeIntervalTypej(where j ═ 1,.. 3), distanodek(wherein k 1.., 5), PowerProviderw(wherein w ═ 1,. ·, 3). The dispatching center subsystem configures the distributed node subsystems to periodically report the collected information, the dispatching center forms a history information base based on the reported collected information, and then statistics is carried out on each DisNodekIn each DayTypeiNext respective TimeInterval typejPower consumption PowerConsum of time periodk,i,j. With DayType1For example, make statistics ofAs a result, as shown in Table 1, it is assumed that each power supply can supply 12000 (i.e., PowerProviderenergy)1、PowerProviderEnergy2、PowerProviderEnergy3All equal to 12000), power supply source electricity use safety threshold RatewEqual to 0.8 (i.e., Rate)1、Rate2、Rate3All equal to 0.8), power loss value PowerLoss between each power supply and each distributed nodew,kSee table 2 for details. Then, the scheduling center subsystem finds out a specific grouping which meets the condition that the power supply consumption is less than a safety threshold and the power loss value is minimized under the whole power supply system through permutation and combination, and can obtain the following clustering grouping of each time period:
first, period 1 clustering grouping:
clustering and grouping 1: disnode1+PowerProvider1；
Clustering and grouping 2: disnode2+PowerProvider2；
Clustering and grouping 3: disnode3+DisNode4+DisNode5+PowerProvider3；
Second, period 2 clustering grouping:
clustering and grouping 1: disnode1+DisNode2+PowerProvider1；
Clustering and grouping 2: disnode3+DisNode4+PowerProvider2；
Clustering and grouping 3: disnode5+PowerProvider3；
Third, period 3 clustering grouping:
as in period 2.
From the above grouping it can be seen that:
the period 1 power loss value is:
PowerLoss1,1+PowerLoss2,2+PowerLoss3,3+PowerLoss3,4+PowerLoss3,5
＝500+1500+1500+500+500＝4500；
the electric quantity use value of each node in the time interval 1 is as follows: 8000+9000+6000+1800+1500 ═ 26300;
and the power loss values of the period 2 and the period 3 are as follows:
PowerLoss1,1+PowerLoss1,2+PowerLoss2,3+PowerLoss2,4+PowerLoss3,5
＝500+500+500+500+500＝2500；
the electric quantity use value of each node in the time period 2 is as follows: 1500+2000+1000+4000+3500 12000;
the electric quantity use value of each node in the period 3 is as follows: 700+1000+500+1000+600 ═ 3800.
From the above analysis, it can be seen that for period 2, if the clustering grouping scheme for period 2 is adopted, the loss overhead is:
2500/(2500+12000) ═ 17.2%, if the clustering scheme for slot 1 is adopted, then the loss overhead is: 4500/(4500+12000) ═ 27.3%, therefore, the power supply system efficiency can be improved by 10% by the scheme of the invention.
Similarly, for period 3, if the clustering grouping scheme of period 3 is adopted, the overhead is:
2500/(2500+3800) — 39.7%, if the clustering grouping scheme of slot 1 is adopted, the loss overhead is: 4500/(4500+3800) — 54.2%, therefore, the power supply system efficiency can be improved by 14.5% by the scheme of the present invention.
It can be seen from the above embodiments that, by using the method of the present invention, a space-time parameter integrated historical acquisition information base is established first, and then the power supply sources and the distributed nodes are clustered and grouped based on the power loss minimization principle, so that a power supply source gating strategy with superior energy efficiency is formed, and the power supply efficiency of the power supply system can be effectively improved.
TABLE 1 DayTypeiHistory information (i ═ 1)
TABLE 2 PowerLossw,kInformation
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A power supply information processing method of a smart grid is characterized by comprising the following steps:
step 1: the distributed nodes report self space-time-parameter integrated acquisition information to a scheduling center;
step 2: the dispatching center clusters and groups the power supply source and the distributed nodes according to a preset rule 1;
and step 3: the scheduling center determines a power supply gating strategy and sends the power supply gating strategy to each distributed node;
and 4, step 4: and each distributed node completes power supply source gating based on a gating strategy and supplies power to the region under the jurisdiction.
2. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 1, the reporting mode of reporting the self space-time-parameter integrated acquisition information to the scheduling center by the distributed node can be based on that after the scheduling center subsystem sets the reporting period of the distributed node subsystem, the distributed node subsystem reports the acquisition information to the scheduling center subsystem according to the period.
3. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 1, the reporting mode of reporting the self space-time-parameter integrated acquisition information to the scheduling center by the distributed node can be based on that the scheduling center subsystem sends a trigger event to the distributed node subsystem, and the distributed node subsystem reports the acquisition information to the scheduling center subsystem after receiving the trigger event.
4. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 1, the space-time parameter integrated acquisition information at least comprises identification, position information, time information and power consumption information of the distributed node subsystem.
5. The power supply information processing method of the smart grid according to claim 1, wherein:
the rule 1 preset in the step 2 specifically refers to at least the natural day type DayType when clustering grouping is presetiAnd the time interval type in the natural dayj。
6. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 2, the specific method for the scheduling center to cluster and group the power supply source and the distributed nodes according to the preset rule 1 is as follows:
step 2.1, counting each DayType based on the historical information collected in the step 1iNext respective TimeInterval typejLower distributed nodes DisNodekPower consumption of (2)k,i,j；
Step 2.2, statistics of each DisNodekWith each power supplywPower loss value of PowerLossw,k；
Step 2.3, according to the preset electric quantity utilization ratio of each power supply source lower than the safety threshold RatewValue and total power loss value PowerLoss of power supply systemw,kThe minimization principle groups the distributed nodes with the power supply.
7. The power supply information processing method of the smart grid according to claim 6, wherein:
power loss value PowerLoss in step 2.2w,kThe statistical method comprises the following steps: according to DisnodekPosition information and PowerProviderwThen the actual line distance between the two is calculated based on the power supply line diagram, and then the line is passedDistance accounting for Power loss value PowerLoss between two pointsw,k。
8. The power supply information processing method of the smart grid according to claim 6, wherein:
the method for grouping the distributed nodes and the power supply source in the step 2.3 comprises the following steps: the grouping method is to one DayTypeiInner one TimeInterval typejGrouping of where in one grouping the one power supply comprises at least one distributed node, one distributed node being in a DayTypeiInner one TimeInterval typejUnder the condition of being subordinate to only one power supplywThereby forming respective DayTypesiEvery TimeInterval typejLower DisnodekAnd PowerProviderwGrouping of clusters of (i.e., for each DisNode under the same cluster during the time period)kGating the same PowerProviderwAnd power supply is carried out, so that the power loss is minimized.
9. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 3, the scheduling center subsystem generates every DayTypeiEvery next TimeInterval typejAnd sends the strategy to each distributed node DisNodek。
10. The power supply information processing method of the smart grid according to claim 1, wherein:
in step 4, each distributed node is based on the gating strategy and is in every DayTypeiEvery next TimeInterval typejAnd at the starting moment, completing power supply source gating and supplying power to the region under jurisdiction according to a gating strategy.
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