CN112711845B - Virtual power plant response resource scheduling method and device based on communication network reliability - Google Patents
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Abstract
The invention discloses a virtual power plant response resource scheduling method and device based on communication network reliability, wherein the method comprises the following steps: acquiring information of a power network and a communication network of a virtual power plant to be analyzed; establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle; establishing an information transmission packet loss model according to a data packet transmission mechanism; the route is expressed as a weighted undirected graph, the information element is a node, the communication path is an edge, and a route forwarding fault model is established; establishing an information transmission delay model according to the time of the data packet reaching the information master station; based on the four models, the Monte Carlo simulation is carried out under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed, the response resource regulation and control effect of the virtual power plant to be analyzed under different scenes is calculated, and the optimal resource scheduling mode is determined according to the regulation and control effect. The method has important reference significance for realizing more accurate and reliable response effect and more predictable response effect of the virtual power plant.
Description
Technical Field
The invention relates to the technical field of power system response resource scheduling, in particular to a virtual power plant response resource scheduling method and device based on communication network reliability.
Background
The virtual power plant is a virtual public facility for providing electric energy service guided by consumers by utilizing the emerging technology, integrates different types of distributed energy sources such as distributed power sources, energy storage systems, controllable loads, electric vehicles and the like by advanced control, metering, communication and other technologies, and realizes the coordinated and optimized operation of a plurality of distributed energy sources by a higher-level software framework so as to realize the reasonable and optimized configuration and utilization of resources in an electric power system.
The virtual power plant needs to rely on a communication network to realize the optimal configuration of power resources, and the information system provides real-time data for the scheduling strategy of the virtual power plant, but the economy and feasibility of the scheduling strategy of the virtual power plant are affected by the failure of the information system. Most of the prior art assumes that the communication network is ideal and perfect when modeling and simulating the response scheduling strategies of the virtual power plant, and does not consider the influence of the reliability of the communication network on the resource scheduling effect. Therefore, it is necessary to design an analysis method capable of quantifying the influence of the reliability of the communication network on the response resource scheduling policy of the virtual power plant so as to achieve a more accurate, reliable and more predictable response effect, which has an important meaning on the economic and reliable operation of the virtual power plant.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent.
Therefore, an object of the present invention is to provide a method for scheduling response resources of a virtual power plant based on reliability of a communication network, which calculates actual response capability and economic benefit of the virtual power plant after considering failure/failure of the communication network by simulating operation process of the communication network, obtains sensitivity analysis of response effect of the virtual power plant to the reliability of the communication network, identifies weak links of the communication network, and further changes regulation mode of response resources.
Another object of the present invention is to provide a virtual power plant response resource scheduling device based on reliability of a communication network.
In order to achieve the above objective, an embodiment of an aspect of the present invention provides a method for scheduling response resources of a virtual power plant based on reliability of a communication network, including:
Acquiring information of a power network and a communication network of a virtual power plant to be analyzed;
establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle;
establishing an information transmission packet loss model according to a data packet transmission mechanism;
the route is expressed as a weighted undirected graph, the information element is a node, the communication path is an edge, and a route forwarding fault model is established;
establishing an information transmission delay model according to the time of the data packet reaching the information master station;
Based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, performing Monte Carlo simulation under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed, calculating response resource regulation and control effects of the virtual power plant to be analyzed under different scenes, and determining an optimal resource scheduling mode according to the regulation and control effects.
According to the virtual power plant response resource scheduling method based on the reliability of the communication network, the actual response capacity and economic benefit of the virtual power plant after the failure/fault of the communication network is considered are calculated through simulating the operation process of the communication network, the sensitivity analysis of the response effect of the virtual power plant to the reliability of the communication network is obtained, weak links of the communication network are identified, and then the regulation and control mode of response resources is changed. The method has important reference significance for realizing more accurate, reliable and more predictable response effects of the virtual power plant.
In addition, the virtual power plant response resource scheduling method based on the reliability of the communication network according to the above embodiment of the present invention may further have the following additional technical features:
Further, in one embodiment of the present invention, the power grid and communication network information of the virtual power plant to be analyzed includes: the method comprises the steps of distributed resource power generation cost, energy consumption requirement of a user at a requirement side, a topological graph of connection of communication network elements, types and positions of communication network element equipment and a communication network operation protocol.
Further, in an embodiment of the present invention, in the communication network element fault model, the fault time and repair time of the set element both conform to an exponential distribution.
Further, in an embodiment of the present invention, the information transmission packet loss model includes a bit error rate model and a retransmission model, a random number is generated, if the random number is within the bit error rate range of the bit error rate model, the data packet is lost, a retransmission mechanism in the retransmission model is triggered, the data packet is retransmitted, if the retransmission times reach the preset times, the data packet is lost, and the corresponding data transmission is invalid.
Further, in one embodiment of the present invention, in the route forwarding fault model, a routing path from an information node corresponding to a distributed resource to a virtual power plant information master station is found through a Bellman-ford algorithm, and if the element fault routing path does not exist, the information cannot reach the master station, and the corresponding data transmission is invalid.
Further, in an embodiment of the present invention, in the information transmission delay model, according to a requirement of a virtual power plant service on information transmission delay, if a data packet does not reach an information master station within a specified delay requirement, and exceeds a data information validity period, the data packet is regarded as invalid data.
Further, in an embodiment of the present invention, the regulation mode with the largest difference between the response resource and the fault-free condition is used as the optimal resource scheduling mode.
In order to achieve the above objective, another embodiment of the present invention provides a virtual power plant response resource scheduling device based on reliability of a communication network, including:
the acquisition module is used for acquiring the information of the power network and the communication network of the virtual power plant to be analyzed;
the first establishing module is used for establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle;
the second building module is used for building an information transmission packet loss model according to a data packet transmission mechanism;
The third building module is used for representing the route as a weighted undirected graph, the information element is a node, the communication path is an edge, and a route forwarding fault model is built;
a fourth building module, configured to build an information transmission delay model according to a time when the data packet arrives at the information master station;
The scheduling module is used for carrying out Monte Carlo simulation under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, calculating response resource regulation and control effects of the virtual power plant to be analyzed under different scenes, and determining an optimal resource scheduling mode according to the regulation and control effects.
According to the virtual power plant response resource scheduling device based on the reliability of the communication network, the actual response capacity and economic benefit of the virtual power plant after the failure/fault of the communication network is considered are calculated through simulating the operation process of the communication network, the sensitivity analysis of the response effect of the virtual power plant to the reliability of the communication network is obtained, weak links of the communication network are identified, and then the regulation and control mode of response resources is changed. The method has important reference significance for realizing more accurate and reliable response effect and more predictable response effect of the virtual power plant.
In addition, the virtual power plant response resource scheduling device based on the reliability of the communication network according to the above embodiment of the present invention may further have the following additional technical features:
Further, in one embodiment of the present invention, the power grid and communication network information of the virtual power plant to be analyzed includes: distributed resource power generation cost, demand side user energy demand, topology of communication network element connection, communication network element equipment type and location and communication network operation protocol
Further, in an embodiment of the present invention, the regulation mode with the largest difference between the response resource and the fault-free condition is used as the optimal resource scheduling mode.
Additional aspects and advantages of the invention 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 invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for scheduling virtual power plant response resources based on communication network reliability according to one embodiment of the invention;
Fig. 2 is a schematic structural diagram of a virtual power plant response resource scheduling device based on reliability of a communication network according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention 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 invention and should not be construed as limiting the invention.
The method and the device for scheduling the response resources of the virtual power plant based on the reliability of the communication network according to the embodiment of the invention are described below with reference to the accompanying drawings.
First, a virtual power plant response resource scheduling method based on the reliability of a communication network according to an embodiment of the present invention will be described with reference to the accompanying drawings.
FIG. 1 is a flow chart of a method for scheduling virtual power plant response resources based on the reliability of a communication network according to one embodiment of the invention.
As shown in fig. 1, the virtual power plant response resource scheduling method based on the reliability of the communication network includes the following steps:
And S1, acquiring power grid and communication network information of the virtual power plant to be analyzed.
Further, the power grid and communication network information of the virtual power plant to be analyzed includes: the method comprises the steps of distributed resource power generation cost, energy consumption requirement of a user at a requirement side, a topological graph of connection of communication network elements, types and positions of communication network element equipment and a communication network operation protocol.
And step S2, establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle.
Further, the communication network element fault model simulates the change process of the running state of the communication network element in the whole dispatching cycle, and supposing that the fault time and the repair time of a certain element are both in accordance with the exponential distribution, generating random numbers of the corresponding exponential distribution, and acquiring the time sequence of the running state (fault-normal) of the element.
And step S3, establishing an information transmission packet loss model according to a data packet transmission mechanism.
Specifically, the corresponding communication type is subjected to an error rate model and a retransmission model of the channel quality level. Generating a random number, if the random number falls within the error rate range, losing the information packet, triggering retransmission, and if the maximum retransmission times are reached, the data packet is lost, and the corresponding data transmission is invalid.
And S4, representing the route as a weighted undirected graph, taking an information element as a node and a communication path as an edge, and establishing a route forwarding fault model.
Specifically, the route is expressed as a weighted undirected graph, the information element is taken as a node, the communication path is taken as an edge, the route path from the information node corresponding to the distributed resource to the information master station of the virtual power plant is searched through a Bellman-ford algorithm, and if the route path does not exist due to the failure of the element, the information cannot reach the master station, and the corresponding data transmission is invalid.
And S5, establishing an information transmission delay model according to the time of the data packet reaching the information master station.
Further, considering the requirement of the virtual power plant business on information transmission delay, if the data packet does not reach the information master station within the specified delay requirement and exceeds the data information validity period, the data packet is regarded as invalid data.
And S6, based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, carrying out Monte Carlo simulation under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed, calculating response resource regulation and control effects of the virtual power plant to be analyzed under different scenes, and determining an optimal resource scheduling mode according to the regulation and control effects.
Specifically, taking four models into consideration, simulating under various operation scenes through Monte Carlo simulation, calculating response resource regulation and control effects of the virtual power plant under different scenes, and identifying weak links of the communication network. And taking the regulation and control mode with the largest difference under the condition of responding to the resource and no fault as a final resource scheduling mode.
According to the virtual power plant response resource scheduling method based on the reliability of the communication network, which is provided by the embodiment of the invention, the information collection, the element fault model establishment, the information transmission packet loss model establishment, the route forwarding fault model establishment, the information transmission delay model establishment and the Monte Carlo simulation are performed. Therefore, by simulating the operation process of the communication network, the actual response capability and economic benefit of the virtual power plant after the failure/fault of the communication network is considered are calculated, the sensitivity analysis of the response effect of the virtual power plant to the reliability of the communication network is obtained, the weak links of the communication network are identified, and the regulation and control mode of response resources is changed. The method has important reference significance for realizing more accurate, reliable and more predictable response effects of the virtual power plant.
The virtual power plant response resource scheduling device based on the reliability of the communication network according to the embodiment of the invention is described with reference to the accompanying drawings.
Fig. 2 is a schematic structural diagram of a virtual power plant response resource scheduling device based on reliability of a communication network according to an embodiment of the present invention.
As shown in fig. 2, the virtual power plant response resource scheduling device based on the reliability of the communication network includes: an acquisition module 201, a first setup module 202, a second setup module 203, a third setup module 204, a fourth setup module 205, and a scheduling module 206.
The acquisition module 201 is configured to acquire power grid and communication network information of a virtual power plant to be analyzed.
A first building module 202 is configured to build a communication network element fault model according to a change process of an operation state of the communication network element in a scheduling period.
The second establishing module 203 is configured to establish an information transmission packet loss model according to a packet transmission mechanism.
A third building module 204, configured to represent the route as a weighted undirected graph, the information element as a node, the communication path as an edge, and build a route forwarding failure model.
A fourth establishing module 205, configured to establish an information transmission delay model according to the time when the data packet arrives at the information master station.
The scheduling module 206 is configured to perform monte carlo simulation under multiple operation scenarios based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, and calculate response resource regulation effects of the virtual power plant to be analyzed under different scenarios by using the communication network information of the virtual power plant to be analyzed, and determine an optimal resource scheduling mode according to the regulation effects.
Further, in one embodiment of the invention, the power grid and communication network information of the virtual power plant to be analyzed comprises: the method comprises the steps of distributed resource power generation cost, energy consumption requirement of a user at a requirement side, a topological graph of connection of communication network elements, types and positions of communication network element equipment and a communication network operation protocol.
Further, in one embodiment of the present invention, the regulation mode with the largest difference between the response resource and the fault-free condition is used as the optimal resource scheduling mode.
It should be noted that the foregoing explanation of the method embodiment is also applicable to the apparatus of this embodiment, and will not be repeated here.
According to the virtual power plant response resource scheduling device based on the reliability of the communication network, which is provided by the embodiment of the invention, the information collection, the element fault model establishment, the information transmission packet loss model establishment, the route forwarding fault model establishment, the information transmission delay model establishment and the Monte Carlo simulation are performed. Therefore, by simulating the operation process of the communication network, the actual response capability and economic benefit of the virtual power plant after the failure/fault of the communication network is considered are calculated, the sensitivity analysis of the response effect of the virtual power plant to the reliability of the communication network is obtained, the weak links of the communication network are identified, and the regulation and control mode of response resources is changed. The method has important reference significance for realizing more accurate, reliable and more predictable response effects of the virtual power plant.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (4)
1. The virtual power plant response resource scheduling method based on the reliability of the communication network is characterized by comprising the following steps of:
Acquiring information of a power network and a communication network of a virtual power plant to be analyzed;
establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle;
establishing an information transmission packet loss model according to a data packet transmission mechanism;
the route is expressed as a weighted undirected graph, the information element is a node, the communication path is an edge, and a route forwarding fault model is established;
establishing an information transmission delay model according to the time of the data packet reaching the information master station;
Based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, carrying out Monte Carlo simulation under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed, calculating response resource regulation and control effects of the virtual power plant to be analyzed under different scenes, and determining an optimal resource scheduling mode according to the regulation and control effects;
The power grid and communication network information of the virtual power plant to be analyzed comprises the following steps: the method comprises the steps of distributed resource power generation cost, energy consumption requirement of a user at a requirement side, a topological graph connected with a communication network element, the type and the position of communication network element equipment and a communication network operation protocol;
Setting the failure time and repair time of the element to accord with the exponential distribution in the communication network element failure model;
The information transmission packet loss model comprises an error rate model and a retransmission model, a random number is generated, if the random number is within the error rate range of the error rate model, the data packet is lost, a retransmission mechanism in the retransmission model is triggered, the data packet is retransmitted, if the retransmission times reach the preset times, the data packet is still not transmitted successfully, and the corresponding data transmission is invalid;
in the route forwarding fault model, searching a route path from an information node corresponding to a distributed resource to an information master station of a virtual power plant through a Bellman-ford algorithm, and if the element fault route path does not exist and the information cannot reach the master station, invalidating the corresponding data transmission;
In the information transmission delay model, according to the requirement of the virtual power plant business on the information transmission delay, if the data packet does not reach the information master station within the specified time delay requirement and exceeds the data information validity period, the data packet is regarded as invalid data.
2. The method according to claim 1, wherein the best resource scheduling method is a regulation method with the largest difference between the response resource and the failure-free condition.
3. A virtual power plant response resource scheduling device based on reliability of a communication network, comprising:
the acquisition module is used for acquiring the information of the power network and the communication network of the virtual power plant to be analyzed;
the first establishing module is used for establishing a communication network element fault model according to the change process of the running state of the communication network element in the dispatching cycle;
the second building module is used for building an information transmission packet loss model according to a data packet transmission mechanism;
The third building module is used for representing the route as a weighted undirected graph, the information element is a node, the communication path is an edge, and a route forwarding fault model is built;
a fourth building module, configured to build an information transmission delay model according to a time when the data packet arrives at the information master station;
The scheduling module is used for carrying out Monte Carlo simulation under various operation scenes by utilizing the communication network information of the virtual power plant to be analyzed based on the communication network element fault model, the information transmission packet loss model, the routing forwarding fault model and the information transmission delay model, calculating response resource regulation and control effects of the virtual power plant to be analyzed under different scenes, and determining an optimal resource scheduling mode according to the regulation and control effects;
The power grid and communication network information of the virtual power plant to be analyzed comprises the following steps: the method comprises the steps of distributed resource power generation cost, energy consumption requirement of a user at a requirement side, a topological graph connected with a communication network element, the type and the position of communication network element equipment and a communication network operation protocol;
Setting the failure time and repair time of the element to accord with the exponential distribution in the communication network element failure model;
The information transmission packet loss model comprises an error rate model and a retransmission model, a random number is generated, if the random number is within the error rate range of the error rate model, the data packet is lost, a retransmission mechanism in the retransmission model is triggered, the data packet is retransmitted, if the retransmission times reach the preset times, the data packet is still not transmitted successfully, and the corresponding data transmission is invalid;
in the route forwarding fault model, searching a route path from an information node corresponding to a distributed resource to an information master station of a virtual power plant through a Bellman-ford algorithm, and if the element fault route path does not exist and the information cannot reach the master station, invalidating the corresponding data transmission;
In the information transmission delay model, according to the requirement of the virtual power plant business on the information transmission delay, if the data packet does not reach the information master station within the specified time delay requirement and exceeds the data information validity period, the data packet is regarded as invalid data.
4. The apparatus of claim 3, wherein a regulatory mode that is the most different between the response resource and the failure-free condition is used as the optimal resource scheduling mode.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105932775A (en) * | 2016-05-23 | 2016-09-07 | 天津大学 | Analysis method for influence from information system to operational reliability of micro-grid |
CN110163578A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of batch carries out the virtual plant system of peak load shifting business |
CN110428147A (en) * | 2019-07-15 | 2019-11-08 | 深圳供电局有限公司 | A kind of virtual plant communication methods of risk assessment, system and equipment |
CN110991919A (en) * | 2019-12-11 | 2020-04-10 | 合肥阳光新能源科技有限公司 | Distributed energy scheduling method, distributed energy management system and virtual power plant |
CN111784055A (en) * | 2020-07-02 | 2020-10-16 | 长沙理工大学 | Virtual power plant optimization scheduling model considering response characteristics of power demand side |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100217642A1 (en) * | 2009-02-26 | 2010-08-26 | Jason Crubtree | System and method for single-action energy resource scheduling and participation in energy-related securities |
CN103338150B (en) * | 2013-07-19 | 2016-06-15 | 中国人民解放军信息工程大学 | Communication network architecture method for building up, device, server and router |
-
2020
- 2020-12-25 CN CN202011562124.0A patent/CN112711845B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105932775A (en) * | 2016-05-23 | 2016-09-07 | 天津大学 | Analysis method for influence from information system to operational reliability of micro-grid |
CN110163578A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of batch carries out the virtual plant system of peak load shifting business |
CN110428147A (en) * | 2019-07-15 | 2019-11-08 | 深圳供电局有限公司 | A kind of virtual plant communication methods of risk assessment, system and equipment |
CN110991919A (en) * | 2019-12-11 | 2020-04-10 | 合肥阳光新能源科技有限公司 | Distributed energy scheduling method, distributed energy management system and virtual power plant |
CN111784055A (en) * | 2020-07-02 | 2020-10-16 | 长沙理工大学 | Virtual power plant optimization scheduling model considering response characteristics of power demand side |
Non-Patent Citations (1)
Title |
---|
泛在电力物联网在智能变电站中的应用与展望;方晶晶;常海青;;电工电气(04);全文 * |
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