CN117036100A - Dynamic scheduling system for virtual power plant resource aggregation - Google Patents
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Abstract
The application relates to the technical field of management systems, in particular to a dynamic scheduling system for virtual power plant resource aggregation. In the actual operation process, the electricity consumption of each area fluctuates, so the application adopts the scheduling module to generate the scheduling model so as to dynamically adjust the power supply area corresponding to the energy node, thereby improving the utilization efficiency of energy.
Description
Technical Field
The application relates to the technical field of management systems, in particular to a dynamic scheduling system for virtual power plant resource aggregation.
Background
The virtual power plant is a power coordination management system which is used as a special power plant to participate in the operation of an electric power market and an electric network by realizing the aggregation and coordination optimization of distributed energy sources such as a distributed power source, an energy storage system, a controllable load and the like through an advanced information communication technology and a software system.
Along with the increasingly prominent problems of shortage of energy sources, environmental pollution and the like in the world, renewable energy sources are increasingly widely applied, and green energy sources with clean low carbon and no pollution emission such as wind power and solar energy are increasingly used in the field of power generation.
The existing dispatching system cannot well adjust the energy supply modes of various energy nodes, so that the utilization efficiency of energy sources is reduced.
Disclosure of Invention
The application aims to provide a dynamic scheduling system for virtual power plant resource aggregation, which aims to better adjust the supply modes of various energy sources so as to improve the utilization efficiency of the energy sources.
In order to achieve the above purpose, the application provides a dynamic scheduling system for virtual power plant resource aggregation, which comprises a supply model establishment module, an electricity acquisition module, a power supply area division module, a matching module, a scheduling module and an adjustment module, wherein the supply model establishment module, the electricity acquisition module, the power supply area division module, the matching module, the scheduling module and the adjustment module are sequentially connected; the supply model building module is used for building a power plant supply model based on the energy nodes; the electricity consumption acquisition module is used for acquiring electricity consumption information of an electricity consumption area; the power supply area dividing module is used for dividing the power utilization area based on the power utilization information to obtain a plurality of power supply areas; the matching module is used for matching the energy nodes with the power supply area based on the power supply distance to obtain matched nodes; the scheduling module is used for generating a scheduling model based on dynamic electricity price and energy demand; the adjusting module is used for adjusting the power supply area corresponding to the matching node based on the scheduling model.
The supply model building module comprises an acquisition unit, a first model generation unit and a visualization unit, wherein the acquisition unit, the first model generation unit and the visualization unit are sequentially connected, and the acquisition unit is used for acquiring energy node information in a current region; the first model generation unit is used for generating a power plant supply model based on the node information, and the visualization unit is used for displaying the power plant supply model in a visualization mode.
The energy source node comprises a solar cell panel, a wind driven generator, an energy storage system, a controllable load and an electric automobile.
The energy node information comprises a position, an electricity generation amount, a device capacity and a voltage level.
The power consumption acquisition module comprises a system main station and an acquisition end, and a communication channel connected between the system main station and the acquisition end; the system comprises a system main station, wherein an internal local area network is established in the system main station, the system main station comprises a pre-information acquisition platform, an application server and a database server, the database is respectively connected with the pre-information acquisition platform and the application server, the pre-information acquisition platform comprises a communication interface machine and a pre-information acquisition server, the pre-information acquisition server is connected with the database server, and the communication interface machine is connected with the pre-information acquisition server.
The power supply area dividing module comprises a setting unit, a second model generating unit and a dividing unit, wherein the setting unit is used for setting a reference power supply amount; the second model generating unit is used for generating a topology model of the power supply area; the dividing unit is used for dividing the topology model in a traversing mode based on the power consumption information and the reference power supply quantity to obtain a power supply area.
The matching module comprises a map unit, a superposition unit, a traversing unit and a matching unit, wherein the map unit is used for acquiring a map of a target area, the superposition unit is used for superposing a power supply area and a power plant supply model on the map of the target area, the traversing unit is used for traversing the distance between each power supply area and all energy nodes to obtain the shortest distance, and the matching unit is used for matching the energy nodes and the power supply areas based on the shortest distance and the power supply quantity of the energy nodes.
The virtual power plant resource aggregation dynamic scheduling system further comprises a monitoring module, wherein the monitoring module is used for monitoring the energy supply condition of the energy source node and giving an alarm when abnormality occurs.
According to the virtual power plant resource aggregation dynamic scheduling system, in an actual application scene, various types of energy nodes exist, so that the virtual power plant resource aggregation dynamic scheduling system is firstly based on the fact that various energy nodes in a current area are concentrated together to establish a power plant supply model, then all power utilization information in a power utilization area can be collected through the power utilization collection module, the power utilization information is collected through the power utilization information collector installed in a power utilization unit, then the power utilization area can be partitioned through the power supply area partitioning module, the power utilization area can be partitioned into a plurality of power supply areas needing to be supplied with power according to the power consumption, and then the power supply areas can be matched based on the distance between each energy node and the power supply area, so that different energy nodes can be powered nearby to reduce transmission loss. In the actual operation process, the power consumption of each area fluctuates, so the scheduling module is adopted to generate the scheduling model, the power supply area corresponding to the energy node can be dynamically adjusted, and the energy utilization efficiency can be improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, 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 block diagram of a dynamic scheduling system for virtual power plant resource aggregation according to a first embodiment of the present application.
Fig. 2 is a block diagram of a supply model building block of a second embodiment of the present application.
Fig. 3 is a block diagram of a power harvesting module of a second embodiment of the application.
Fig. 4 is a block diagram of a power supply area dividing module of a second embodiment of the present application.
Fig. 5 is a block diagram of a matching module of a second embodiment of the present application.
Fig. 6 is a block diagram of a scheduling module according to a second embodiment of the present application.
The system comprises a supply model establishment module 101, an electricity acquisition module 102, a power supply region division module 103, a matching module 104, a scheduling module 105 and an adjustment module 106, an acquisition unit 201, a first model generation unit 202 and a visualization unit 203, a system main station 204 and an acquisition end 205, a setting unit 206, a second model generation unit 207 and a division unit 208, a map unit 209, an overlapping unit 210, a traversing unit 211 and a matching unit 212, a price gradient unit 214, a prediction unit 215 and an adjustment unit 216.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
First embodiment
Referring to fig. 1, the application provides a dynamic scheduling system for virtual power plant resource aggregation, which comprises a supply model establishment module 101, an electricity acquisition module 102, a power supply area division module 103, a matching module 104, a scheduling module 105 and an adjustment module 106, wherein the supply model establishment module 101, the electricity acquisition module 102, the power supply area division module 103, the matching module 104, the scheduling module 105 and the adjustment module 106 are sequentially connected; the supply model building module 101 is configured to build a power plant supply model based on an energy node; the electricity consumption acquisition module 102 is configured to acquire electricity consumption information of an electricity consumption area; the power supply area dividing module 103 is configured to divide the power consumption area based on the power consumption information, so as to obtain a plurality of power supply areas; the matching module 104 is configured to match the energy node with the power supply area based on the power supply distance to obtain a matched node; the scheduling module 105 is used for generating a scheduling model based on dynamic electricity prices and energy demands; the adjusting module 106 is configured to adjust the power supply area corresponding to the matching node based on the scheduling model.
In this embodiment, in an actual application scenario, there are multiple types of energy nodes, so the present application firstly gathers together based on various energy nodes in a current area to establish a power plant supply model, then through the power acquisition module 102, all the power consumption information in the power consumption area can be acquired, the power consumption information is acquired through the power consumption information acquisition device installed in the power consumption unit, then through the power supply area dividing module 103, the power consumption area can be divided into multiple power supply areas needing power supply according to the power consumption amount, and then the power supply areas can be matched based on the distance between each energy node and the power supply area, so that different energy nodes can be powered nearby to reduce transmission loss. In the actual operation process, the electricity consumption of each area fluctuates, so the scheduling module 105 is adopted to generate a scheduling model, so that the power supply area corresponding to the energy node can be dynamically adjusted, and the energy utilization efficiency can be improved.
Second embodiment
Referring to fig. 2 to 6, fig. 2 is a block diagram of a supply model building module according to a second embodiment of the present application. Fig. 3 is a block diagram of a power harvesting module of a second embodiment of the application. Fig. 4 is a block diagram of a power supply area dividing module of a second embodiment of the present application. Fig. 5 is a block diagram of a matching module of a second embodiment of the present application. Fig. 6 is a block diagram of a scheduling module according to a second embodiment of the present application. On the basis of the first embodiment, the present application further provides a dynamic scheduling system for virtual power plant resource aggregation, where the supply model building module 101 includes an obtaining unit 201, a first model generating unit 202, and a visualization unit 203, where the obtaining unit 201, the first model generating unit 202, and the visualization unit 203 are sequentially connected, and the obtaining unit 201 is configured to obtain energy node information in a current region; the first model generating unit 202 is configured to generate a power plant supply model based on node information, and the visualizing unit 203 is configured to visualize and display the power plant supply model. The information of the energy nodes can be conveniently obtained in the mode, modeling is performed through the first model generating unit 202, and the information is displayed visually after modeling is finished, so that the information can be used and monitored by staff more conveniently.
In particular, the energy nodes referred to herein include, but are not limited to, solar panels, wind generators, and energy storage systems.
The energy node information includes location, power generation, device capacity, and voltage class. The energy nodes can be described more completely through the information, so that the description is more convenient.
The electricity acquisition module 102 comprises a system main station 204 and an acquisition end 205, and a communication channel connected between the system main station 204 and the acquisition end 205; an internal local area network is established in the system master station 204, the system master station 204 comprises a pre-information acquisition platform, an application server and a database server, the database is respectively connected with the pre-information acquisition platform and the application server, the pre-information acquisition platform comprises a communication interface machine and a pre-information acquisition server, the pre-information acquisition server is connected with the database server, and the communication interface machine is connected with the pre-information acquisition server.
The power supply area dividing module 103 includes a setting unit 206, a second model generating unit 207, and a dividing unit 208, the setting unit 206 being configured to set a reference power supply amount; the second model generating unit 207 is configured to generate a topology model of the power supply area; the dividing unit 208 is configured to partition the topology model in a traversal manner based on the power consumption information and the reference power supply amount, so as to obtain a power supply area. The reference power supply quantity can be set based on the average power consumption of the target area, and then the partition is traversed through the topology model, so that the partition is more convenient and simpler.
Further, the matching module 104 includes a map unit 209, a superposition unit 210, a traversing unit 211 and a matching unit 212, where the map unit 209 is configured to obtain a map of a target area, the superposition unit 210 is configured to stack a power supply area and a power plant supply model on the map of the target area, the traversing unit 211 is configured to traverse distances between each power supply area and all energy nodes to obtain a shortest distance, and the matching unit 212 is configured to match the energy nodes and the power supply area based on the shortest distance and a power supply amount of the energy nodes. Through the mode, the power supply area and the power plant supply model die can be conveniently placed on the target area map to quantify the distance, and then the shortest distance is searched in a traversing mode to improve the processing efficiency.
The dynamic scheduling system for virtual power plant resource aggregation further comprises a monitoring module, wherein the monitoring module is used for monitoring the energy supply condition of the energy source node and giving an alarm when abnormality occurs. By the mode, workers can be informed of processing in time, and the use is more convenient.
The scheduling module 105 comprises a price gradient unit 214, a prediction unit 215 and an adjustment unit 216, wherein the price gradient unit 214 is used for acquiring power supply prices of different energy types and generating price gradients from low price to high price; the prediction unit 215 is used for predicting the load of the energy source node with low price gradient; the adjusting unit 216 is configured to increase the power supply area of the adjacent price gradient energy node to the current energy node when the negative pressure is smaller than the output. Price gradients can be generated according to the price of different energy types through the price gradient unit 214, and then the load of the energy nodes with low price gradients is predicted through the prediction unit 215, so that the load can be increased and the load of the energy nodes with high price gradients can be reduced when the load is insufficient, electricity price can be saved, and adjustment is more convenient.
Third embodiment
On the basis of the second embodiment, the application also provides a dynamic scheduling system for virtual power plant resource aggregation, which further comprises a transaction module, wherein the transaction module is used for predicting surplus electric quantity and discharging the surplus electric quantity to an energy market for transaction, and the specific steps comprise: and predicting surplus electric quantity and electric quantity cost of the whole system, putting the surplus electric quantity into the energy market for trade when the electric quantity cost is lower than the trade price of the energy market, purchasing corresponding electric quantity from the energy market when the trade price of the energy market is lower than the electric quantity cost, and reducing a power supply area in charge of high-price gradient energy nodes.
In this embodiment, the scheduling system is also connected to the energy market, so that the whole system can sell electricity when the electricity cost is low, and buy electricity when the electricity cost is high, so that the use cost of electricity can be further saved.
The above disclosure is only a preferred embodiment of the present application, and it should be understood that the scope of the application is not limited thereto, and those skilled in the art will appreciate that all or part of the procedures described above can be performed according to the equivalent changes of the claims, and still fall within the scope of the present application.
Claims (8)
1. A dynamic scheduling system for virtual power plant resource aggregation is characterized in that,
the power consumption management system comprises a supply model building module, a power consumption acquisition module, a power supply area dividing module, a matching module, a scheduling module and an adjusting module, wherein the supply model building module, the power consumption acquisition module, the power supply area dividing module, the matching module, the scheduling module and the adjusting module are sequentially connected;
the supply model building module is used for building a power plant supply model based on the energy nodes;
the electricity consumption acquisition module is used for acquiring electricity consumption information of an electricity consumption area;
the power supply area dividing module is used for dividing the power utilization area based on the power utilization information to obtain a plurality of power supply areas;
the matching module is used for matching the energy nodes with the power supply area based on the power supply distance to obtain matched nodes;
the scheduling module is used for generating a scheduling model based on dynamic electricity price and energy demand;
the adjusting module is used for adjusting the power supply area corresponding to the matching node based on the scheduling model.
2. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 1,
the supply model building module comprises an acquisition unit, a first model generation unit and a visualization unit, wherein the acquisition unit, the first model generation unit and the visualization unit are sequentially connected, and the acquisition unit is used for acquiring energy node information in a current region; the first model generation unit is used for generating a power plant supply model based on the node information, and the visualization unit is used for displaying the power plant supply model in a visualization mode.
3. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 2,
the energy source node comprises a solar cell panel, a wind driven generator, an energy storage system, a controllable load and an electric automobile.
4. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 3,
the energy node information includes location, power generation, device capacity, and voltage class.
5. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 4,
the electricity acquisition module comprises a system master station, an acquisition end and a communication channel connected between the system master station and the acquisition end; the system comprises a system main station, wherein an internal local area network is established in the system main station, the system main station comprises a pre-information acquisition platform, an application server and a database server, the database is respectively connected with the pre-information acquisition platform and the application server, the pre-information acquisition platform comprises a communication interface machine and a pre-information acquisition server, the pre-information acquisition server is connected with the database server, and the communication interface machine is connected with the pre-information acquisition server.
6. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 5,
the power supply area dividing module comprises a setting unit, a second model generating unit and a dividing unit, wherein the setting unit is used for setting a reference power supply amount; the second model generating unit is used for generating a topology model of the power supply area; the dividing unit is used for dividing the topology model in a traversing mode based on the power consumption information and the reference power supply quantity to obtain a power supply area.
7. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 6, wherein,
the matching module comprises a map unit, a superposition unit, a traversing unit and a matching unit, wherein the map unit is used for acquiring a map of a target area, the superposition unit is used for superposing a power supply area and a power plant supply model on the map of the target area, the traversing unit is used for traversing the distance between each power supply area and all energy nodes to obtain the shortest distance, and the matching unit is used for matching the energy nodes and the power supply areas based on the shortest distance and the power supply quantity of the energy nodes.
8. A virtual power plant resource aggregate dynamic scheduling system as set forth in claim 7,
the dynamic scheduling system for virtual power plant resource aggregation further comprises a monitoring module, wherein the monitoring module is used for monitoring the energy supply condition of the energy source node and giving an alarm when abnormality occurs.
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| CN117993582A (en) * | 2024-04-07 | 2024-05-07 | 国网江西省电力有限公司经济技术研究院 | Power supply data simulation optimization operation method and system |
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