CN116488149A - Method and device for determining micro-grid power generation strategy and micro-grid - Google Patents
Method and device for determining micro-grid power generation strategy and micro-grid Download PDFInfo
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- CN116488149A CN116488149A CN202310364931.9A CN202310364931A CN116488149A CN 116488149 A CN116488149 A CN 116488149A CN 202310364931 A CN202310364931 A CN 202310364931A CN 116488149 A CN116488149 A CN 116488149A
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- 238000010248 power generation Methods 0.000 title claims abstract description 124
- 238000000034 method Methods 0.000 title claims abstract description 73
- 230000006854 communication Effects 0.000 claims abstract description 254
- 238000004891 communication Methods 0.000 claims abstract description 253
- 230000002159 abnormal effect Effects 0.000 claims abstract description 41
- 238000004146 energy storage Methods 0.000 claims description 29
- 238000012545 processing Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 13
- 230000008878 coupling Effects 0.000 claims description 6
- 238000010168 coupling process Methods 0.000 claims description 6
- 238000005859 coupling reaction Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 description 12
- 230000005611 electricity Effects 0.000 description 11
- 238000005457 optimization Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 3
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- 239000003990 capacitor Substances 0.000 description 2
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- 238000013507 mapping Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 238000007667 floating Methods 0.000 description 1
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Classifications
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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Abstract
The application discloses a method and device for determining a micro-grid power generation strategy and a micro-grid, and belongs to the technical field of micro-grids. The micro-grid power generation strategy determination method comprises the following steps: determining a target communication value based on the communication state of the communication equipment corresponding to the micro-grid; and determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid. According to the method for determining the power generation strategy of the micro-grid, the target communication value can be obtained under the condition that the state of the communication equipment is abnormal, so that the target power generation strategy is determined, the micro-grid can be safely scheduled under the condition that the state of the communication equipment is abnormal, and the normal income and the working efficiency of the micro-grid are ensured.
Description
Technical Field
The application belongs to the technical field of micro-grids, and particularly relates to a micro-grid power generation strategy determining method and device and a micro-grid.
Background
In the energy regulation process of the micro-grid, communication abnormality and other conditions may be encountered, so that the state of the micro-grid is insensitive. In the related art, the micro-grid regulation and control method cannot acquire the communication value of the communication equipment under the condition of abnormal communication, and further cannot generate an energy regulation and control strategy based on the communication value, so that the conditions of untimely energy management and control, incapability of normally acquiring the gain of the micro-grid and the like are caused, and the safety scheduling and the working efficiency of the micro-grid are further affected.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the method and the device for determining the power generation strategy of the micro-grid and the micro-grid can acquire the target communication value under the condition that the state of communication equipment is abnormal, so that the target power generation strategy is determined, the micro-grid can be safely scheduled under the condition that the state of communication is abnormal, and the normal income and the working efficiency of the micro-grid are ensured.
In a first aspect, the present application provides a method for determining a power generation strategy of a micro-grid, the method comprising:
determining a target communication value based on the communication state of the communication equipment corresponding to the micro-grid;
and determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid.
According to the method for determining the power generation strategy of the micro-grid, different communication values can be obtained based on different communication states of the communication equipment, the purpose that the target power generation strategy corresponding to the micro-grid can be determined based on the target communication values, the historical meteorological data and the historical load data in any communication state is ensured, and then energy regulation and control are performed based on the target power generation strategy, so that the normal income and the working efficiency of the micro-grid are ensured, the application scene is wider, and the stability is higher.
According to the method for determining the micro-grid power generation strategy, the target communication value is determined based on the communication state of the communication equipment corresponding to the micro-grid, and the method comprises the following steps:
under the condition that the communication state is normal, determining the target communication value based on the actual communication value sent by the communication equipment;
under the condition that the communication state is abnormal, acquiring an estimated communication value based on a digital model, and determining the estimated communication value as the target communication value; the digital model is a digital twin model determined based on the microgrid.
According to the method for determining the micro-grid power generation strategy, under the condition that the communication state is normal, a target communication value is determined based on an actual communication value sent by communication equipment; under the condition of abnormal communication state, the estimated communication value can be obtained based on the digital model, and the estimated communication value is determined to be the target communication value, so that the micro-grid can also obtain the communication value under the condition of abnormal communication state, and further safety scheduling is carried out based on the communication value, thereby ensuring the normal income and the working efficiency of the micro-grid, and widening the application scene.
According to the micro-grid power generation strategy determination method, the communication state is determined based on the following steps:
under the condition that the heartbeat signal related to the communication equipment is normal, determining that the communication state is normal;
and under the condition that the heartbeat signal is abnormal, determining that the communication state is abnormal.
According to the method for determining the power generation strategy of the micro-grid, the communication state is determined based on the state of the heartbeat signal, and the communication value is determined based on the communication state, so that the micro-grid can acquire the communication value under the condition that the communication state is abnormal, and further safety scheduling is performed based on the communication value, normal income and working efficiency of the micro-grid are guaranteed, and application scenes are widened.
In the method for determining the micro-grid power generation strategy according to one embodiment of the present application, under the condition that the communication state is normal, the method further includes:
correcting a digital model based on the working parameters of the micro-grid; the digital model is a digital twin model determined based on the microgrid.
According to the method for determining the micro-grid power generation strategy, parameters in the loss model are corrected based on the working parameters of the micro-grid, and then the digital model is continuously corrected, so that the accuracy of the digital model can be improved, an estimated communication value which is closer to an actual communication value is output, and the optimization effect is improved.
According to the method for determining the power generation strategy of the micro-grid, the determining the power generation strategy of the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid comprises the following steps:
inputting the historical meteorological data and the historical load data into a first prediction model, and obtaining predicted output data and predicted load data of a future period output by the first prediction model;
and determining the target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition.
According to the method for determining the micro-grid power generation strategy, the historical meteorological data and the historical load data are input into the first prediction model, the predicted output data and the predicted load data of the future period are obtained, and the first prediction model is a pre-trained model and can be directly used in practical application, so that user experience can be improved; and then determining a target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition, and performing energy regulation and control based on the target power generation strategy in subsequent application, thereby ensuring the normal income and the working efficiency of the micro-grid.
In an embodiment of the present application, after the determining the target power generation policy based on the target communication value, the predicted output data, the predicted load data, and the operation constraint condition, the method further includes:
adjusting an energy storage output scheme of the micro-grid based on the target power generation strategy, and acquiring actual output data and actual load data of the future period;
the first predictive model is modified based on the actual output data and the actual load data.
According to the method for determining the power generation strategy of the micro-grid, the energy storage output scheme of the micro-grid is adjusted based on the target power generation strategy, the actual output data and the actual load data of the future period are obtained, and then the first prediction model is corrected based on the actual output data and the actual load data, so that the accuracy of the first prediction model can be improved, more accurate predicted output data and predicted load data can be output, and further the optimization effect is improved.
In a second aspect, the present application provides a micro-grid power generation strategy determining apparatus, including:
the first processing module is used for determining a target communication value based on the communication state of the communication equipment corresponding to the micro-grid; the communication state comprises normal or abnormal;
and the second processing module is used for determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, different communication values can be obtained based on different communication states of the communication equipment, so that the target power generation strategy corresponding to the micro-grid can be determined based on the target communication values, the historical meteorological data and the historical load data under any communication state, and further, the energy regulation and control are performed based on the target power generation strategy, the normal income and the working efficiency of the micro-grid are ensured, the application scene is wider, and the stability is higher.
In a third aspect, the present application provides a microgrid comprising:
a power supply;
the energy storage system is electrically connected with the power supply;
the micro-grid power generation strategy determination device according to the second aspect, wherein the micro-grid power generation strategy determination device is electrically connected to the power source and the energy storage system, respectively.
According to the micro-grid provided by the embodiment of the application, the micro-grid power generation strategy determining device is arranged, so that the target communication value can be obtained under the condition that the state of the communication equipment is abnormal, the target power generation strategy is further determined, the micro-grid can be safely scheduled under the condition that the state of the communication equipment is abnormal, and the normal income and the working efficiency of the micro-grid are ensured.
In a fourth aspect, the present application provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for determining a microgrid generation policy as described in the first aspect above.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements a method for determining a microgrid generation strategy as described in the first aspect above.
The above technical solutions in the embodiments of the present application have at least one of the following technical effects:
based on different communication states of the communication equipment, different communication values can be obtained, the purpose that a target power generation strategy corresponding to the micro-grid can be determined based on the target communication values, the historical meteorological data and the historical load data under any communication state is ensured, and then energy regulation and control are performed based on the target power generation strategy, so that the normal income and the working efficiency of the micro-grid are ensured, the application scene is wider, and the micro-grid has higher stability.
Further, under the condition that the communication state is normal, parameters in the loss model are corrected based on working parameters of the micro-grid, and then the digital model is continuously corrected, so that the accuracy of the digital model can be improved, an estimated communication value which is closer to an actual communication value is output, and the optimization effect is improved.
Furthermore, the energy storage output scheme of the micro-grid is adjusted based on the target power generation strategy, the actual output data and the actual load data of the future period are obtained, and then the first prediction model is corrected based on the actual output data and the actual load data, so that the accuracy of the first prediction model can be improved, more accurate predicted output data and predicted load data can be output, and the optimization effect is improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, wherein:
fig. 1 is one of flow diagrams of a method for determining a power generation strategy of a micro grid according to an embodiment of the present application;
FIG. 2 is a second flowchart of a method for determining a power generation strategy of a micro-grid according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a micro-grid power generation strategy determining device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a micro grid according to an embodiment of the present application.
Detailed Description
Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
The method for determining the power generation strategy of the micro-grid according to the embodiment of the present application is described below with reference to fig. 1 and 2.
It should be noted that, the execution body of the micro-grid power generation policy determining method may be a micro-grid, or may be a micro-grid power generation policy determining device disposed on the micro-grid, or may also be a server electrically connected to the micro-grid, or may also be a user terminal communicatively connected to the micro-grid, including, but not limited to, a mobile terminal and a non-mobile terminal.
For example, mobile terminals include, but are not limited to, cell phones, PDA smart terminals, tablet computers, vehicle-mounted smart terminals, and the like; non-mobile terminals include, but are not limited to, PC-side and the like.
As shown in fig. 1, the method for determining the micro-grid power generation strategy includes: step 110 and step 120.
Step 110, determining a target communication value based on the communication state of the communication device corresponding to the micro-grid.
In this step, the micro-grid includes a power source, an energy storage system, and electrical equipment, etc.
The power source in the micro-grid can be a distributed power source, for example, the distributed power source can be distributed photovoltaic, distributed wind energy, distributed tidal energy and the like.
The energy storage system is used for storing electric energy and supplying power.
The energy storage system can be a battery, a super capacitor, electromagnetic energy storage and the like.
The communication device is used for transmitting the electric wave information.
It will be appreciated that in the process of the communication devices communicating with each other, abnormal situations such as signal interruption may occur.
The communication state is determined based on the communication condition between the communication devices, and the communication state may be normal or may be abnormal.
In the case where the communication state is abnormal, the communication value sent by the communication apparatus may not be acquired.
The target communication value is used for generating an energy regulation strategy for the micro-grid.
The target communication value may be different in different communication states.
In some embodiments, step 110 may include:
under the condition that the communication state is normal, determining a target communication value based on an actual communication value sent by the communication equipment;
under the condition of abnormal communication state, acquiring an estimated communication value based on a digital model, and determining the estimated communication value as a target communication value; the digital model is a digital twin model determined based on the micro-grid.
In this embodiment, the actual communication value is an actual value of the communication device during the communication process.
The digital model may be photovoltaic, load model, line loss, or the like.
The digital model can be a digital twin model, wherein the digital twin is a simulation process, and the digital twin is a full life cycle process of mapping in a virtual space and then reflecting the mapping to corresponding entity equipment;
the digital twin model is a digitized representation of a real world entity or system for simulating the operation of the microgrid.
The estimated communication value is predicted based on a digital model.
The inventor finds that in the research and development process, in the related technology, under the condition of normal communication, a target communication value is determined based on an actual communication value, and under the conditions of abnormal communication, communication delay or sensor error and the like, the state of the micro-grid is perceived slowly, and the target communication value cannot be obtained by a common method, so that the conditions of untimely energy management and regulation, incapability of normally obtaining benefits and the like are caused.
In the method, under the conditions of abnormal communication state, communication delay or sensor error and the like, an estimated communication value can be obtained based on a digital model, the estimated communication value is determined to be a target communication value, and in the subsequent execution process, a regulation strategy can be obtained based on the target communication value.
According to the method for determining the micro-grid power generation strategy, under the condition that the communication state is normal, a target communication value is determined based on an actual communication value sent by communication equipment; under the condition of abnormal communication state, the estimated communication value can be obtained based on the digital model, and the estimated communication value is determined to be the target communication value, so that the micro-grid can also obtain the communication value under the condition of abnormal communication state, and further safety scheduling is carried out based on the communication value, thereby ensuring the normal income and the working efficiency of the micro-grid, and widening the application scene.
In some embodiments, the communication status may be determined based on the following steps:
under the condition that the heartbeat signal related to the communication equipment is normal, determining that the communication state is normal;
and under the condition of abnormal heartbeat signals, determining abnormal communication state.
In this embodiment, the heartbeat signal is a signal transmitted between any two communication devices that need to communicate.
During communication, heartbeat signals can be obtained all the time.
The heartbeat signal is whether to take the estimated communication value of the digital model as the basis of scheduling judgment.
For example, in the case where the heartbeat signal is normal, it is determined that the communication state is normal, and the actual communication value is determined as the target communication value.
In another example, in the case of abnormal heartbeat signal, if it is determined that the communication state is abnormal, the estimated communication value is determined as the target communication value.
According to the method for determining the power generation strategy of the micro-grid, the communication state is determined based on the state of the heartbeat signal, and the communication value is determined based on the communication state, so that the micro-grid can acquire the communication value under the condition that the communication state is abnormal, and further safety scheduling is performed based on the communication value, normal income and working efficiency of the micro-grid are guaranteed, and application scenes are widened.
And 120, determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid.
In this step, the historical weather data is weather data within a past target period of the area in which the micro grid is located.
Historical weather data may be acquired based on a weather data acquisition system.
The load data is the consumption power corresponding to the electric equipment in the micro-grid.
The historical load data is the consumed power of the electric equipment in the target period.
The target power generation strategy is used for energy regulation and control of the micro-grid.
In the actual execution process, whether the communication state of the communication equipment corresponding to the micro-grid is normal is firstly judged, then different communication values are obtained as target communication values based on the communication state, and then a target power generation strategy corresponding to the micro-grid is determined based on the target communication values, historical meteorological data of an area where the micro-grid is located and historical load data corresponding to the micro-grid.
According to the method for determining the power generation strategy of the micro-grid, different communication values can be obtained based on different communication states of the communication equipment, the purpose that the target power generation strategy corresponding to the micro-grid can be determined based on the target communication values, the historical meteorological data and the historical load data in any communication state is ensured, and then energy regulation and control are performed based on the target power generation strategy, so that the normal income and the working efficiency of the micro-grid are ensured, the application scene is wider, and the stability is higher.
As shown in fig. 2, in some embodiments, step 120 may include:
the method comprises the steps of inputting historical meteorological data and historical load data into a first prediction model, and obtaining predicted output data and predicted load data of a future period output by the first prediction model;
and determining a target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition.
In this embodiment, the first prediction model is a pre-trained model, and may be obtained by training the sample historical meteorological data and the sample historical load data as samples, and the sample predicted output data and the sample predicted load data as sample tags.
The output data is output power corresponding to a distributed power supply in the micro-grid.
The predicted output data is the predicted output power corresponding to the distributed power supply in the future period.
The load data is the consumption power corresponding to the electric equipment in the micro-grid.
The predicted load data is the predicted power consumption corresponding to the electric equipment in the future period.
The operating constraints may include at least one of equality constraints and inequality constraints.
The equality constraint is used to constrain the active and reactive power of the microgrid to be equal to the randomly varying load power in the microgrid at any one time.
Inequality constraints are used to guarantee power quality, device safety, etc.
In the actual execution process, as shown in fig. 2, historical meteorological data and historical load data are input into a first prediction model, predicted output data and predicted load data of a future period output by the first prediction model are obtained, then operation data and operation logs are stored, and then a target power generation strategy is determined based on a target communication value, the predicted output data, the predicted load data and operation constraint conditions.
According to the method for determining the micro-grid power generation strategy, the historical meteorological data and the historical load data are input into the first prediction model, the predicted output data and the predicted load data of the future period are obtained, and the first prediction model is a pre-trained model and can be directly used in practical application, so that user experience can be improved; and then determining a target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition, and performing energy regulation and control based on the target power generation strategy in subsequent application, thereby ensuring the normal income and the working efficiency of the micro-grid.
In some embodiments, in the case of floating electricity prices, determining the target power generation policy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, and the historical load data corresponding to the micro-grid may further include:
and determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, the historical load data corresponding to the micro-grid and the predicted electricity price.
In this embodiment, the predicted electricity prices are market information that is predicted to characterize the electricity prices.
In some embodiments, the predicted electricity prices may also be obtained based on the second predictive model.
In this embodiment, the second predictive model may be an economy-optimizing scheduling model.
As shown in fig. 2, in some embodiments, in a case where the communication state is normal, the method for determining a micro-grid power generation strategy may further include:
the digital model is modified based on the operating parameters of the microgrid.
In this embodiment, the operating parameter is real-time data generated during operation of the microgrid.
The digital model may include a loss model, which is pre-established.
Parameters in the loss model may be modified based on operating parameters of the microgrid to modify the digital model.
According to the method for determining the micro-grid power generation strategy, parameters in the loss model are corrected based on the working parameters of the micro-grid, and then the digital model is continuously corrected, so that the accuracy of the digital model can be improved, an estimated communication value which is closer to an actual communication value is output, and the optimization effect is improved.
With continued reference to fig. 2, in some embodiments, after determining the target power generation policy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, and the historical load data corresponding to the micro-grid, the method for determining the power generation policy of the micro-grid may further include:
adjusting an energy storage output scheme of the micro-grid based on a target power generation strategy, and acquiring actual output data and actual load data of a future period;
the first predictive model is modified based on the actual output data and the actual load data.
In this embodiment, the actual output data is the actual output power corresponding to the distributed power sources in the microgrid for the future period.
The actual load data is the actual consumed power corresponding to the electric equipment in the micro-grid in the future period.
The first predictive model is modified based on the degree of difference between the predicted output data and the actual output data, and the degree of difference between the predicted load data and the actual load data.
In the actual execution process, after a target power generation strategy corresponding to the micro-grid is determined, an energy storage output scheme of the micro-grid is adjusted based on the target power generation strategy, actual output data and actual load data corresponding to the micro-grid are obtained, and then the first prediction model is corrected based on the actual output data and the actual load data.
With continued reference to fig. 2, in some embodiments, after determining the target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, the historical load data corresponding to the micro-grid, and the predicted electricity price, the method for determining the power generation strategy of the micro-grid may further include:
the second predictive model is modified based on the actual electricity prices and the predicted electricity prices.
In this embodiment, the actual electricity price is the actual electricity price, which can be found based on the electricity price inquiry system.
After determining the target power generation strategy, the second predictive model may be modified based on the degree of difference between the predicted power price and the actual power price.
According to the method for determining the power generation strategy of the micro-grid, the energy storage output scheme of the micro-grid is adjusted based on the target power generation strategy, the actual output data and the actual load data of the future period are obtained, and then the first prediction model is corrected based on the actual output data and the actual load data, so that the accuracy of the first prediction model can be improved, more accurate predicted output data and predicted load data can be output, and further the optimization effect is improved.
The micro-grid power generation strategy determination device provided by the application is described below, and the micro-grid power generation strategy determination device described below and the micro-grid power generation strategy determination method described above can be referred to correspondingly.
According to the method for determining the micro-grid power generation strategy, the execution subject can be the device for determining the micro-grid power generation strategy. In the embodiment of the application, the method for determining the micro-grid power generation strategy by using the micro-grid power generation strategy determining device as an example is described.
The embodiment of the application also provides a micro-grid power generation strategy determining device.
As shown in fig. 3, the micro-grid power generation strategy determination device includes: a first processing module 310 and a second processing module 320.
A first processing module 310, configured to determine a target communication value based on a communication state of the communication device corresponding to the micro-grid; the communication state includes normal or abnormal;
the second processing module 320 is configured to determine a target power generation policy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, and the historical load data corresponding to the micro-grid.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, different communication values can be obtained based on different communication states of the communication equipment, so that the target power generation strategy corresponding to the micro-grid can be determined based on the target communication values, the historical meteorological data and the historical load data under any communication state, and further, the energy regulation and control are performed based on the target power generation strategy, the normal income and the working efficiency of the micro-grid are ensured, the application scene is wider, and the stability is higher.
In some embodiments, the micro-grid power generation strategy determination apparatus may further include:
the third processing module is used for determining a target communication value based on an actual communication value sent by the communication equipment under the condition that the communication state is normal;
the fourth processing module is used for acquiring an estimated communication value based on the digital model and determining the estimated communication value as a target communication value under the condition of abnormal communication state; the digital model is a digital twin model determined based on the micro-grid.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, under the condition that the communication state is normal, a target communication value is determined based on an actual communication value sent by communication equipment; under the condition of abnormal communication state, the estimated communication value can be obtained based on the digital model, and the estimated communication value is determined to be the target communication value, so that the micro-grid can also obtain the communication value under the condition of abnormal communication state, and further safety scheduling is carried out based on the communication value, thereby ensuring the normal income and the working efficiency of the micro-grid, and widening the application scene.
In some embodiments, in a case that the communication state is normal, the micro-grid power generation strategy determination device may further include a fifth processing module for:
the digital model is modified based on the operating parameters of the microgrid.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, parameters in the loss model are corrected based on the working parameters of the micro-grid, and then the digital model is continuously corrected, so that the accuracy of the digital model can be improved, an estimated communication value which is closer to an actual communication value is output, and the optimization effect is further improved.
In some embodiments, the micro-grid power generation strategy determination device may further include a sixth processing module for determining the communication state based on:
under the condition that the heartbeat signal related to the communication equipment is normal, determining that the communication state is normal;
and under the condition of abnormal heartbeat signals, determining abnormal communication state.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, the communication state is determined based on the state of the heartbeat signal, and then the communication value is determined based on the communication state, so that the micro-grid can acquire the communication value under the condition that the communication state is abnormal, and further safety scheduling is performed based on the communication value, the normal income and the working efficiency of the micro-grid are ensured, and the application scene is widened.
In some embodiments, the second processing module 320 may also be configured to:
the method comprises the steps of inputting historical meteorological data and historical load data into a first prediction model, and obtaining predicted output data and predicted load data of a future period output by the first prediction model;
and determining a target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, the historical meteorological data and the historical load data are input into the first prediction model, so that the predicted output data and the predicted load data of a future period are obtained, and the first prediction model is a pre-trained model, can be directly used in practical application, and can improve user experience; and then determining a target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition, and performing energy regulation and control based on the target power generation strategy in subsequent application, thereby ensuring the normal income and the working efficiency of the micro-grid.
In some embodiments, the micro-grid power generation strategy determination apparatus may further include a seventh processing module for:
after determining a target power generation strategy based on a target communication value, historical meteorological data of an area where the micro-grid is located and historical load data corresponding to the micro-grid, adjusting an energy storage output scheme of the micro-grid based on the target power generation strategy, and acquiring actual output data and actual load data of a future period;
the first predictive model is modified based on the actual output data and the actual load data.
According to the micro-grid power generation strategy determining device provided by the embodiment of the application, the energy storage output scheme of the micro-grid is adjusted based on the target power generation strategy, the actual output data and the actual load data of the future period are obtained, and then the first prediction model is corrected based on the actual output data and the actual load data, so that the accuracy of the first prediction model can be improved, more accurate predicted output data and predicted load data can be output, and the optimization effect is further improved.
The micro-grid power generation strategy determination device in the embodiment of the application may be a device with an operating system. The operating system may be an Android operating system, an IOS operating system, or other possible operating systems, which is not specifically limited in the embodiments of the present application.
The micro-grid power generation strategy determining device provided in the embodiment of the present application can implement each process implemented by the method embodiments of fig. 1 and fig. 2, and in order to avoid repetition, a detailed description is omitted here.
The embodiment of the application also provides a micro-grid.
As shown in fig. 4, the micro grid includes: a power supply, an energy storage system and a microgrid generation strategy determination device as described in any of the embodiments above.
In this embodiment, the power source may be a distributed power source, for example, the distributed power source may be distributed photovoltaic, distributed wind energy, distributed nuclear energy, and the like.
The energy storage system is electrically connected with a power supply.
The energy storage system is used for maintaining the stability of the internal voltage and frequency of the micro-grid.
The energy storage system can be a battery, a super capacitor, a flywheel and the like.
The micro-grid power generation strategy determining device is electrically connected with the power supply and the energy storage system respectively.
As shown in fig. 4, the micro-grid power generation strategy determining device may be a server, and is used for data storage, front-end display, planning economy evaluation, optimizing scheduling, real-time scheduling and the like.
The micro-grid may further comprise a digital model, the digital model being electrically connected to the micro-grid power generation strategy determination means.
In some embodiments, an energy storage system may include: at least one of an energy storage direct current coupling system and an energy storage alternating current coupling system.
In this embodiment, as shown in fig. 4, where the distributed power source is a distributed photovoltaic, the energy storage system may include an optical storage dc coupling system and an optical storage ac coupling system.
According to the micro-grid provided by the embodiment of the application, the micro-grid power generation strategy determining device is arranged, so that the target communication value can be obtained under the condition that the state of the communication equipment is abnormal, the target power generation strategy is further determined, the micro-grid can be safely scheduled under the condition that the state of the communication equipment is abnormal, and the normal income and the working efficiency of the micro-grid are ensured.
In another aspect, the present application further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer readable storage medium, where the computer program includes program instructions, when the program instructions are executed by a computer, can execute each process of the foregoing embodiment of the method for determining a micro-grid power generation policy, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.
In yet another aspect, the present application further provides a non-transitory computer readable storage medium, on which a computer program is stored, where the computer program is implemented when executed by a processor to perform each process of the foregoing embodiment of the method for determining a micro grid power generation policy, and the same technical effects can be achieved, and for avoiding repetition, a description is omitted herein.
In still another aspect, an embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction, implement each process of the embodiment of the foregoing micro-grid power generation policy determining method, and achieve the same technical effect, and in order to avoid repetition, details are not repeated herein.
It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 corresponding technical solutions.
Claims (11)
1. A microgrid generation strategy determination method, characterized by comprising:
determining a target communication value based on the communication state of the communication equipment corresponding to the micro-grid; the communication state comprises normal or abnormal;
and determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid.
2. The method for determining a power generation strategy of a micro-grid according to claim 1, wherein determining the target communication value based on the communication state of the communication device corresponding to the micro-grid comprises:
under the condition that the communication state is normal, determining the target communication value based on the actual communication value sent by the communication equipment;
under the condition that the communication state is abnormal, acquiring an estimated communication value based on a digital model, and determining the estimated communication value as the target communication value; the digital model is a digital twin model determined based on the microgrid.
3. The method of determining a power generation strategy of a micro grid according to claim 1, wherein the communication status is determined based on the steps of:
under the condition that the heartbeat signal related to the communication equipment is normal, determining that the communication state is normal;
and under the condition that the heartbeat signal is abnormal, determining that the communication state is abnormal.
4. A micro-grid power generation strategy determination method according to any one of claims 1 to 3, wherein in the case where the communication state is normal, the method further comprises:
correcting a digital model based on actual working parameters of the micro-grid; the digital model is a digital twin model determined based on the microgrid.
5. The method for determining a power generation strategy of a micro-grid according to any one of claims 1 to 3, wherein the determining the power generation strategy of the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located, and the historical load data corresponding to the micro-grid includes:
inputting the historical meteorological data and the historical load data into a first prediction model, and obtaining predicted output data and predicted load data of a future period output by the first prediction model;
and determining the target power generation strategy based on the target communication value, the predicted output data, the predicted load data and the operation constraint condition.
6. The method of determining a microgrid generation strategy according to claim 5, further comprising, after said determining said target generation strategy based on said target communication values, said predicted output data, said predicted load data and operating constraints:
adjusting an energy storage output scheme of the micro-grid based on the target power generation strategy, and acquiring actual output data and actual load data of the future period;
the first predictive model is modified based on the actual output data and the actual load data.
7. A microgrid generation strategy determination device, characterized by comprising:
the first processing module is used for determining a target communication value based on the communication state of the communication equipment corresponding to the micro-grid; the communication state comprises normal or abnormal;
and the second processing module is used for determining a target power generation strategy corresponding to the micro-grid based on the target communication value, the historical meteorological data of the area where the micro-grid is located and the historical load data corresponding to the micro-grid.
8. A micro-grid, comprising:
a power supply;
the energy storage system is electrically connected with the power supply;
the microgrid generation strategy determination device of claim 7 electrically connected to said power source and said energy storage system, respectively.
9. The microgrid according to claim 8, wherein said energy storage system comprises: at least one of an energy storage direct current coupling system and an energy storage alternating current coupling system.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the microgrid generation policy determination method of any one of claims 1-6.
11. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements a microgrid generation policy determination method according to any of claims 1-6.
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| CN117291429A (en) * | 2023-11-24 | 2023-12-26 | 天津市扬天环保科技有限公司 | Hydraulic engineering quality safety risk assessment method based on big data analysis |
| CN117291429B (en) * | 2023-11-24 | 2024-01-26 | 天津市扬天环保科技有限公司 | Hydraulic engineering quality safety risk assessment method based on big data analysis |
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