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CN113315172B - Distributed source load data scheduling system of electric heating comprehensive energy - Google Patents

Distributed source load data scheduling system of electric heating comprehensive energy Download PDF

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CN113315172B
CN113315172B CN202110555421.0A CN202110555421A CN113315172B CN 113315172 B CN113315172 B CN 113315172B CN 202110555421 A CN202110555421 A CN 202110555421A CN 113315172 B CN113315172 B CN 113315172B
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edge node
distributed source
data
load
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CN113315172A (en
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罗毅
汤木易
胡博
周桂平
赵苑竹
王顺江
王磊
李铁
唐俊刺
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Huazhong University of Science and Technology
State Grid Liaoning Electric Power Co Ltd
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State Grid Liaoning Electric Power Co Ltd
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Abstract

本发明公开了一种电热综合能源的分布式源荷数据调度系统，属于综合能源系统运行领域，所述系统包括：一个调度主站和多个调度区域；调度主站用于调度多个调度区域内的分布式源荷；每个调度区域包括：主边缘节点、多个边缘节点和多个安装在分布式源荷处的智能电子设备；多个边缘节点与主边缘节点通信连接，多个智能电子设备与主边缘节点和多个边缘节点连接；本发明方法可以对任一调度区域内的分布式源荷进行调度运行数据采集，从而实施分布式源荷调度。弥补了现有调度对分布式源荷数据采集困难的缺陷。将主边缘节点作为调度系统的一个节点，从而可以在不改变现有调度系统的结构、功能和调度方式的条件下实施对分布式源荷数据采集和调度。

Figure 202110555421

The invention discloses a distributed source-load data dispatching system for electrothermal integrated energy, belonging to the field of integrated energy system operation. The system comprises: a dispatching master station and multiple dispatching areas; Distributed source and load within the network; each dispatch area includes: the main edge node, multiple edge nodes, and multiple intelligent electronic devices installed at the distributed source and load; multiple edge nodes communicate with the master edge node, and multiple intelligent electronic devices The electronic equipment is connected with the main edge node and a plurality of edge nodes; the method of the invention can collect the scheduling operation data for the distributed source and load in any scheduling area, thereby implementing the distributed source-load scheduling. It makes up for the defect that the existing scheduling is difficult to collect distributed source and load data. The main edge node is used as a node of the scheduling system, so that the distributed source and load data collection and scheduling can be implemented without changing the structure, function and scheduling mode of the existing scheduling system.

Figure 202110555421

Description

Distributed source load data scheduling system of electric heating comprehensive energy
Technical Field
The invention belongs to the field of operation of comprehensive energy systems, and particularly relates to a distributed source load data scheduling system for electric heating comprehensive energy.
Background
The double-carbon target is realized, and the renewable energy power generation grid connection and the re-electrification represented by wind power generation and solar photovoltaic power generation are rapidly developed. On the distribution side and the consumer side, distributed energy sources are developing at an average annual increase of 10%. As the permeability of distributed energy resources has increased year by year, the proportion of distributed energy resources in the total energy ratio has increased year by year, and local areas have been a high proportion of distributed energy application patterns. However, the current electric heating comprehensive energy system scheduling system only realizes scheduling of conventional large energy stations (such as conventional power plants, large wind power plants, large photovoltaic power plants and the like). Collecting distributed source load data and completing the scheduling of the distributed source load are not involved.
The virtual power plant technology is a technology capable of scheduling and controlling distributed energy, and a plurality of distributed energy are taken as a whole to equivalently form a virtual power plant for scheduling and controlling. However, the virtual power plant scheduling is a scheduling research on the premise that the distributed source load real-time operation data is known, and a clear system structure and a method for collecting the distributed source load real-time operation data are not provided. Due to the fact that the distributed energy sources are large in quantity, the installation positions are scattered, different property rights belong to the distributed energy sources, the conventional point-to-point and point-to-multipoint data acquisition and control ideas have application complexity, new technical idea support is needed for completing the data acquisition and control of the distributed energy sources, and the distributed energy sources are convenient and visual to apply.
In summary, distributed source load data in the existing scheduling system is numerous and distributed, and a centralized data acquisition is adopted, so that a data acquisition and processing system of a scheduling master station is very complex. Meanwhile, the distributed source load is positioned at the tail end of the comprehensive energy system, the reliability is poor, and the data rate is low.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a distributed source charge data scheduling system of electric heating comprehensive energy, which aims to acquire source charge data in a distributed mode and schedule the data in a distributed mode, so that the technical problems of complex structure, low communication efficiency and low reliability of the scheduling system are solved.
In order to achieve the above object, the present invention provides a distributed source load data scheduling system for electric heating comprehensive energy, comprising: a scheduling master station and a plurality of connected scheduling regions;
the scheduling master station is used for scheduling distributed source loads in a plurality of scheduling areas;
each of the scheduling regions includes:
the main edge node is used for receiving the real-time running data of the distributed source loads, uploading the real-time running data to a data cloud or a scheduling real-time database of the scheduling master station, and receiving a scheduling instruction issued by the scheduling master station;
the plurality of edge nodes are in communication connection with the main edge node and are used for receiving the real-time operation data and exchanging data with the main edge node so that the main edge node forms complete observation data of distributed source loads in the dispatching area; the dispatching system is also used for receiving and issuing the dispatching instruction of the dispatching master station forwarded by the main edge node;
the intelligent electronic equipment is connected with the main edge node and the edge nodes, and is used for acquiring real-time running data of the distributed source loads and sending the real-time running data to the main edge node or any edge node; and the edge node is further configured to receive and execute a scheduling instruction of the scheduling master station issued by the master edge node or the plurality of edge nodes.
In one embodiment, the primary edge node in each scheduling region is further configured to perform scaling, classification statistics, classification calculation, and logic judgment on data in the scheduling region.
In one embodiment, the configuration of each edge node in each scheduling area is determined by the property rights of the corresponding distributed source load, the energy supply area, the geographic position and the channel configuration.
In one embodiment, the main edge node in each scheduling region is generated by a plurality of edge nodes in the scheduling region in a competition mode.
In one embodiment, the master edge node, the scheduling master and the edge nodes are configured to periodically exchange security signals; the safety signal is used as a basis for starting the competition of the main edge node;
and determining the main edge node from the edge nodes based on the communication bandwidth between each edge node and the scheduling master station and the accessibility between each edge node and the intelligent electronic equipment.
In one embodiment, when each of the edge nodes corresponds to
Figure GDA0003169498850000031
When not equal, select
Figure GDA0003169498850000032
The corresponding edge node is used as the main edge node;
when each of the edge nodes corresponds to
Figure GDA0003169498850000033
When the two nodes are equal, generating the main edge node according to an exponential back-off mechanism;
wherein, B i Is the communication bandwidth between the ith edge node and the scheduling master station; b is max The theoretical maximum communication bandwidth between each edge node and the scheduling master station; n is i The number of intelligent electronic devices which can reach the ith edge node is the number of the intelligent electronic devices; n is the total number of the intelligent electronic equipment in the scheduling area; a and β are weight coefficients.
In one embodiment, there are a plurality of the primary edge nodes in one scheduling region; one of the scheduling regions includes a plurality of scheduling groups, each of the scheduling groups including one of the primary edge nodes.
In one embodiment, the scheduling master station is further configured to receive, process, store, and manage real-time operation data of the distributed source load.
In one embodiment, the intelligent electronic device is connected to one or more of the edge nodes via a point-to-point channel, a point-to-multipoint channel, a computer network.
In one embodiment, any one of the intelligent electronic devices can serve as a communication relay for other intelligent electronic devices to forward data packets of the other intelligent electronic devices to the edge node, so as to improve reliability of data transmission.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
(1) the method can carry out scheduling operation data acquisition on the distributed source load in any scheduling area, thereby implementing the distributed source load scheduling. The defect that the existing scheduling is difficult to acquire the distributed source load data is overcome. The main edge node is used as a node of the scheduling system, so that the acquisition and scheduling of the distributed source load data can be implemented under the condition of not changing the structure, the function and the scheduling mode of the conventional scheduling system;
(2) according to the method, only a communication channel is built between the edge node and the scheduling master station, and no communication channel can be built between most of distributed source loads and the scheduling master station, so that the difficulty in building the last 1km of a communication system is reduced;
(3) the method of the invention avoids the problem of data acquisition caused by poor quality of communication channels when distributed sources are loaded at the tail end of the system by means of communication relay among intelligent electronic devices, competition of multiple main edge nodes and the like.
Drawings
FIG. 1 is a schematic structural diagram of a distributed source-load data scheduling system of an electric-thermal integrated energy source according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a distributed source load data scheduling system of an electric heating comprehensive energy source in another embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in fig. 1, the present invention provides a distributed source load data scheduling system for electric heat comprehensive energy, comprising: a scheduling master station and a plurality of scheduling regions connected with each other;
the scheduling master station is used for scheduling distributed source loads in a plurality of scheduling areas;
each scheduling region includes:
the main edge node is used for receiving real-time running data of the distributed source loads, uploading the real-time running data to a data cloud or a scheduling real-time database of the scheduling master station, and receiving a scheduling instruction issued by the scheduling master station;
the edge nodes are in communication connection with the main edge node and used for receiving real-time operation data and exchanging the data with the main edge node so that the main edge node forms complete observation data of distributed source loads in a scheduling area; the main edge node is also used for receiving and issuing a scheduling instruction of the scheduling master station forwarded by the main edge node;
the intelligent electronic equipment is arranged at the distributed source load position, is connected with the main edge node and the edge nodes, and is used for acquiring real-time running data of the distributed source load and sending the real-time running data to the main edge node or any edge node; and the master node is also used for receiving and executing the scheduling instruction of the scheduling master station sent by the main edge node or the plurality of edge nodes.
Specifically, as shown in fig. 1, the system includes 1 conventional scheduling master station, a plurality of scheduling regions (each scheduling region has 1 main edge node), a plurality of edge nodes in each scheduling region, a plurality of Intelligent Electronic Devices (IEDs) installed at distributed source loads in each scheduling region, and a communication subsystem. The scheduling main station is provided with a preposed data acquisition subsystem. The preposed data acquisition subsystem receives distributed source load real-time operation data sent by main edge nodes in each scheduling area, and stores the data into a data server of the scheduling master station after data processing.
The main edge node has the following functions: (1) the main edge node is responsible for collecting distributed source load real-time operation data of the IED; (2) exchanging real-time operation data with the edge node to form distributed source load complete observation data in a scheduling area; (3) finishing data preprocessing and data processing functions such as real-time data scale transformation, classification statistics, classification calculation, logic judgment and the like in a scheduling region; (4) uploading the real-time operation data to a data cloud or a scheduling real-time database of a scheduling master station; (5) and receiving a scheduling instruction applied by the scheduling master station, and issuing the scheduling instruction to the corresponding distributed source load for execution.
The edge node has the following functions: (1) the edge node is responsible for collecting distributed source load real-time operation data of the IED; (2) real-time operation data are exchanged with the main edge nodes, so that the main edge nodes can form distributed source load complete observation data in a scheduling area; (3) receiving a scheduling instruction of a scheduling master station forwarded by a main edge node, and issuing the scheduling instruction to a corresponding distributed source load for execution; (4) the edge node does not transmit real-time data directly to the scheduling master.
IED, its role is: (1) collecting distributed source load real-time operation data; (2) transmitting the real-time operation data to a main edge node or an edge node; (3) and receiving the dispatching instruction forwarded by the main edge node or the edge node, and executing.
In one embodiment, the main edge node in each scheduling region is further configured to perform scaling, classification statistics, classification calculations, and logic decisions on real-time data in the scheduling region.
In one embodiment, the configuration of each edge node in each scheduling area is determined by the property rights of the corresponding distributed source load, the energy supply area, the geographic position and the channel configuration.
In one embodiment, the main edge node in each scheduling region is generated by a plurality of edge nodes in the scheduling region in a competition mode.
The main edge node has the following characteristics: the main edge node of a certain scheduling region is generated by a plurality of edge nodes in the scheduling region in a competition mode. The conditions for the master edge node contention are:
(1) restarting the system;
(2) the edge node as the main edge node does not directly communicate with the scheduling master station at the current moment;
(3) the edge node as the main edge node does not communicate with other edge nodes at the current moment;
(4) the edge node, which is the primary edge node, does not communicate with any IED at the present time.
In one embodiment, safety signals are exchanged among the main edge node, the scheduling master station and the edge node in a timing mode; the safety signal is used as a basis for starting the competition of the main edge node;
and determining a main edge node from the plurality of edge nodes based on the communication bandwidth between each edge node and the scheduling master station and the accessibility between each edge node and the IED.
Specifically, the method for competing the main edge node is as follows: and regularly exchanging safety signals between the main edge node and the scheduling master station and between the main edge node and the edge nodes to serve as a basis for starting competition of the main edge nodes. The selection of the main edge node mainly considers the communication bandwidth between the edge node and the scheduling master station and the accessibility between the edge node and the IED.
In addition, a computer network connection (bidirectional channel) is recommended between a plurality of edge nodes. The main edge node and the edge node may be specially configured node devices or may be both owned by the IED.
In one embodiment, when each edge node corresponds to
Figure GDA0003169498850000071
When not equal, select
Figure GDA0003169498850000072
The corresponding edge node is used as a main edge node;
when each edge node corresponds to
Figure GDA0003169498850000073
When the two nodes are equal, generating a main edge node according to an exponential back-off mechanism;
wherein, B i Is the communication bandwidth between the ith edge node and the scheduling master station; b is max The theoretical maximum communication bandwidth between each edge node and the scheduling master station; n is i Is the number of IEDs reachable to the ith edge node, and if the ith edge node can receive a communication data packet of a certain IED, n i + 1; n is the total number of IEDs in the dispatching area; a and β are weight coefficients.
In one embodiment, the number of the main edge nodes in one scheduling area is multiple; a scheduling region includes a plurality of scheduling groups, each scheduling group including a primary edge node.
Specifically, if a plurality of main edge nodes appear in one scheduling area, that is, grouping is generated between the edge nodes, data cannot be directly exchanged between groups, but each group can still communicate with the scheduling master station, and the edge nodes in the groups with low accessibility to the IEDs are automatically degraded to IED functions, so that only one main edge node is generated in one scheduling area.
In one embodiment, the scheduling master station is further configured to receive, process, store and manage real-time operation data of the distributed source load. In one embodiment, the IED is connected to one or more edge nodes via a point-to-point channel, a point-to-multipoint channel, or a computer network.
In one embodiment, any IED can act as a communication relay for other IEDs to forward data packets of the other IEDs to the edge node, thereby improving the reliability of data transmission.
Wherein the IED may be connected to one or more edge nodes (upstream or bidirectional) via a point-to-point channel, a point-to-multipoint channel, a computer network; and the IED sends the distributed source load real-time operation data to the main edge node or one edge node. The IEDs, any one of which may be a communication relay for the other IEDs, may forward packets for the other IEDs to the edge node.
Fig. 2 is a schematic diagram of a distributed source load data scheduling system of an electric heating comprehensive energy source. The system is different from the system in fig. 1 in that the main edge node directly stores the acquired data in the scheduling cloud platform. The others will not be described in detail.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (7)

1.一种电热综合能源的分布式源荷数据调度系统，其特征在于，包括：互相连接的一个调度主站多个调度区域；1. A distributed source-load data dispatching system of electrothermal integrated energy, characterized in that, comprising: a plurality of dispatching areas of a dispatching master station connected to each other; 所述调度主站，用于调度多个所述调度区域内的分布式源荷；the scheduling master station for scheduling a plurality of distributed source loads in the scheduling area; 每个所述调度区域内设有：Within each of the scheduling areas are: 主边缘节点，用于接收所述分布式源荷的实时运行数据，并将所述实时运行数据上传所述调度主站的数据云或调度实时数据库，且接收所述调度主站下发的调度指令；The main edge node is used to receive the real-time operation data of the distributed source load, upload the real-time operation data to the data cloud or the scheduling real-time database of the scheduling master station, and receive the scheduling issued by the scheduling master station instruction; 多个边缘节点，与所述主边缘节点通信连接，用于接收所述实时运行数据并与所述主边缘节点进行数据交换，以使所述主边缘节点形成所述调度区域内分布式源荷的完全观测数据；还用于接收所述主边缘节点转发来的所述调度主站的调度指令并下发；A plurality of edge nodes, connected in communication with the main edge node, for receiving the real-time operation data and exchanging data with the main edge node, so that the main edge node forms a distributed source load in the scheduling area The complete observation data; also used to receive and issue the scheduling instruction of the scheduling master station forwarded by the master edge node; 多个安装在所述分布式源荷处的智能电子设备，与所述主边缘节点和多个所述边缘节点连接，用于采集分布式源荷实时运行数据并发送至所述主边缘节点或任一所述边缘节点；还用于接收所述主边缘节点或多个所述边缘节点下发的所述调度主站的调度指令并执行；A plurality of intelligent electronic devices installed at the distributed source and load are connected to the main edge node and a plurality of the edge nodes, and are used to collect real-time operation data of the distributed source and load and send it to the main edge node or any one of the edge nodes; further configured to receive and execute the scheduling instruction of the master scheduling station issued by the master edge node or multiple edge nodes; 各个所述调度区域内主边缘节点由该调度区域内的多个边缘节点竞争产生；所述主边缘节点、所述调度主站和所述边缘节点之间定时交换的平安信号；所述平安信号作为启动所述主边缘节点竞争的依据；基于各个所述边缘节点与所述调度主站之间的通信带宽、各个所述边缘节点与所述智能电子设备之间的可达性，从多个所述边缘节点中确定出所述主边缘节点；The main edge nodes in each scheduling area are generated by the competition of multiple edge nodes in the scheduling area; the safety signals exchanged regularly between the master edge node, the scheduling master station and the edge nodes; the safety signals As the basis for initiating competition for the primary edge node; based on the communication bandwidth between each of the edge nodes and the scheduling master station, and the reachability between each of the edge nodes and the intelligent electronic device, multiple The main edge node is determined from the edge nodes; 当各个所述边缘节点对应的
Figure FDA0003750136230000011
不完全相等时，选择
Figure FDA0003750136230000012
对应的边缘节点作为所述主边缘节点；当各个所述边缘节点对应的
Figure FDA0003750136230000021
相等时，按照指数退让机制产生所述主边缘节点；其中，Bi是第i个边缘节点与调度主站之间的通信带宽；Bmax是各个边缘节点与调度主站之间理论上的最大通信带宽；ni是与第i个边缘节点可达的智能电子设备个数；N为调度区域内智能电子设备总数；a和β是权重系数。When each of the edge nodes corresponds to
Figure FDA0003750136230000011
When not exactly equal, choose
Figure FDA0003750136230000012
The corresponding edge node is used as the main edge node; when the corresponding edge node
Figure FDA0003750136230000021
When equal, the primary edge node is generated according to the exponential backoff mechanism; where B i is the communication bandwidth between the i-th edge node and the scheduling master station; B max is the theoretical maximum value between each edge node and the scheduling master station Communication bandwidth; n i is the number of intelligent electronic devices reachable with the i-th edge node; N is the total number of intelligent electronic devices in the scheduling area; a and β are weight coefficients. 2.如权利要求1所述的电热综合能源的分布式源荷数据调度系统，其特征在于，各个所述调度区域内的所述主边缘节点还用于完成所述调度区域内实时数据标度变换、分类统计、分类计算和逻辑判断。2 . The distributed source-load data scheduling system of electric-heat integrated energy according to claim 1 , wherein the main edge nodes in each scheduling area are also used to complete real-time data scaling in the scheduling area. 3 . Transformation, classification statistics, classification calculation and logical judgment. 3.如权利要求1所述的电热综合能源的分布式源荷数据调度系统，其特征在于，各个所述调度区域内的各个所述边缘节点的配置由对应的所述分布式源荷的产权所属、供能区域、地理位置、信道配置情况决定。3 . The distributed source-load data scheduling system of electric-heat integrated energy according to claim 1 , wherein the configuration of each of the edge nodes in each of the scheduling areas is determined by the property rights of the corresponding distributed source-load. 4 . It is determined by the affiliation, energy supply area, geographical location, and channel configuration. 4.如权利要求1-3任一项所述的电热综合能源的分布式源荷数据调度系统，其特征在于，一个所述调度区域内的所述主边缘节点为多个；一个所述调度区域包括多个调度组，每个所述调度组包括一个所述主边缘节点。4. The distributed source-load data dispatching system of electric-heat integrated energy according to any one of claims 1-3, characterized in that, there are multiple primary edge nodes in one dispatching area; one dispatching area The area includes a plurality of scheduling groups, and each of the scheduling groups includes one of the primary edge nodes. 5.如权利要求1-3任一项所述的电热综合能源的分布式源荷数据调度系统，其特征在于，所述调度主站还用于对所述分布式源荷的实时运行数据进行接收、处理、存储和管理。5. The distributed source-load data dispatching system of electric-heat integrated energy according to any one of claims 1-3, wherein the dispatching master station is further configured to perform real-time operation data on the distributed source-load data. Receive, process, store and manage. 6.如权利要求1-3任一项所述的电热综合能源的分布式源荷数据调度系统，其特征在于，所述智能电子设备通过点对点信道、点对多点信道、计算机网络与一个或多个所述边缘节点连接。6. The distributed source-load data dispatching system of electric-heat integrated energy sources according to any one of claims 1-3, wherein the intelligent electronic device communicates with a point-to-point channel, a point-to-multipoint channel, a computer network and one or A plurality of the edge nodes are connected. 7.如权利要求1-3任一项所述的电热综合能源的分布式源荷数据调度系统，其特征在于，任一所述智能电子设备能够作为其他所述智能电子设备的通信中继器，以将其他智能电子设备的数据包转发给所述边缘节点，从而提高数据传输的可靠性。7. The distributed source-load data dispatching system for integrated electrothermal energy according to any one of claims 1 to 3, wherein any one of the intelligent electronic devices can be used as a communication repeater for other intelligent electronic devices , so as to forward the data packets of other intelligent electronic devices to the edge node, thereby improving the reliability of data transmission.
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