CN111697614A - Method for optimizing smart grid by using SDN technology - Google Patents
Method for optimizing smart grid by using SDN technology Download PDFInfo
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- CN111697614A CN111697614A CN201910193340.3A CN201910193340A CN111697614A CN 111697614 A CN111697614 A CN 111697614A CN 201910193340 A CN201910193340 A CN 201910193340A CN 111697614 A CN111697614 A CN 111697614A
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- 238000010248 power generation Methods 0.000 claims description 12
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The invention discloses a method for optimizing a smart grid by utilizing an SDN technology, which belongs to the technical field of data receiving and storing modules, wireless communication modules and switches, wherein each smart sensing device is connected to the data receiving and storing module, the data receiving and storing module is connected with the wireless communication module, the switches and a controller are connected to an SDN control system through an SDN southward interface, and the controller is connected with an upper-layer service interface through an SDN northward interface. The invention meets the requirement of upper-layer service by using SDN technology to participate in the control management of the network, simplifies the operation and maintenance of the network by automatic service deployment, realizes the requirement of large-particle and high-speed data transmission, and solves the problems of network security and resource efficiency.
Description
Technical Field
The invention relates to an SDN technology, in particular to a method for optimizing a smart grid by utilizing the SDN technology, and belongs to the technical field of SDN.
Background
The SDN is a software defined network, is a novel network innovation architecture provided by the clean slate research group of Stanford university in America, and has the core concept that application software is expected to participate in control management of the network, so that the requirement of upper-layer services is met, and the operation and maintenance of the network are simplified through automatic service deployment.
The traditional power communication network has poor service management capability for a connectionless Ethernet system, cannot meet the requirements of large-particle and high-speed data transmission, has low network security and low resource efficiency, and cannot know the power generation characteristics of the photovoltaic units in a dispatching day when the electric automobile is charged by power generation of the photovoltaic units, so that the problems of timeliness and rapidness are not achieved.
Disclosure of Invention
The invention mainly aims to provide a method for optimizing a smart grid by using an SDN technology, which meets the requirements of upper-layer services by using the SDN technology to participate in the control and management of a network, simplifies the operation and maintenance of the network by automatic service deployment, realizes the requirements of large-particle and high-speed data transmission, solves the problems of network safety and resource efficiency, charges an electric vehicle by photovoltaic unit power generation, knows the power generation characteristics of the photovoltaic units in a dispatching day, and is timely and rapid.
The purpose of the invention can be achieved by adopting the following technical scheme:
a method for optimizing a smart grid using SDN technology, comprising:
with every meteorological, photovoltaic collection sensing equipment and by photovoltaic unit, miniature gas turbine group, fill the little electric wire netting that electric pile and big electric wire netting constituted and insert to data reception storage module, data reception storage module includes data processing unit, distribution network state monitoring unit, vehicle information module and dispatch administrative unit, will data reception storage module and wireless communication module are connected:
connecting a wireless communication module with a switch, and simultaneously connecting the wireless communication module with a historical photovoltaic data storage module, a historical meteorological data storage module and a scheduling solar meteorological data storage module, wherein the historical photovoltaic data storage module collects historical power generation power data of a photovoltaic unit and transmits the historical power generation power data to a photovoltaic output prediction module, and the historical meteorological data storage module collects historical meteorological data of the area where the photovoltaic unit is located and transmits the historical meteorological data to the photovoltaic output prediction module:
the method comprises the following steps that a switch and a controller are connected into an SDN control system through an SDN southbound interface, and the SDN control system comprises a control instruction receiving and issuing system, an automatic service arranging system and a control cloud system:
the controller is connected with an upper-layer service interface through an SDN northbound interface, and the upper-layer service comprises a vehicle information service and a charging demand service.
Preferably, the SDN control system writes the SDN control system framework through any one of RESTful, SOAP, C, and Java.
Preferably, the SDN control system is connected to the switch through an OpenFlow protocol.
Preferably, the intelligent sensing device and the data receiving and storing module form a forwarding layer, and the bottom layer part after the separation of the network resource software and hardware is set as a physical device layer and a physical device abstraction layer, and the loose coupling of the network software and hardware is completed through the forwarding layer.
Preferably, the automatic service arrangement system dynamically provides an arrangement template and a control strategy according to service requirements, and the upper layer service passes through a global load balancing strategy based on network resources and application resources.
Preferably, the header contents of the data packet received by the switch are matched, data flow related information is counted, each flow table, each data flow, each device port, and each forwarding queue in the switch are maintained, and how to process the data packet after the switch receives the matched data packet is indicated.
Preferably, after receiving a data Packet, the switch performs flow table lookup, automatically searches for an entry matching the Packet header of the data Packet, processes the data Packet according to the action list indicated by the flow table after the entry is found, and encapsulates the data Packet in a Packet-in message and sends the data Packet to the controller for processing if the entry is not found.
The invention has the beneficial technical effects that: the SDN technology is used for participating in control management of the network, requirements of upper-layer services are met, operation and maintenance of the network are simplified through automatic service deployment, large-particle and high-speed data transmission requirements are met, the problems of network safety and resource efficiency are solved, the electric automobile is charged through photovoltaic unit power generation, the power generation characteristics of the photovoltaic units in a dispatching day are known, and the operation and the maintenance are timely and rapid.
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Fig. 1 is a flow diagram of a preferred embodiment of a truck brake pipe line integration mechanism in accordance with the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail with reference to the following examples, but the embodiments of the present invention are not limited thereto.
The method for optimizing the smart grid by using the SDN technology provided by the embodiment includes:
with every meteorological, photovoltaic collection sensing equipment and by photovoltaic unit, miniature gas turbine group, fill the little electric wire netting that electric pile and big electric wire netting constituted and insert to data reception storage module, data reception storage module includes data processing unit, distribution network state monitoring unit, vehicle information module and dispatch administrative unit, will data reception storage module and wireless communication module are connected:
connecting a wireless communication module with a switch, and simultaneously connecting the wireless communication module with a historical photovoltaic data storage module, a historical meteorological data storage module and a scheduling solar meteorological data storage module, wherein the historical photovoltaic data storage module collects historical power generation power data of a photovoltaic unit and transmits the historical power generation power data to a photovoltaic output prediction module, and the historical meteorological data storage module collects historical meteorological data of the area where the photovoltaic unit is located and transmits the historical meteorological data to the photovoltaic output prediction module:
the method comprises the following steps that a switch and a controller are connected into an SDN control system through an SDN southbound interface, and the SDN control system comprises a control instruction receiving and issuing system, an automatic service arranging system and a control cloud system:
the controller is connected with an upper-layer service interface through an SDN northbound interface, and the upper-layer service comprises a vehicle information service and a charging demand service.
In this implementation, the SDN control system includes a control instruction receiving and issuing system, an automated service orchestration system, and a control cloud system.
In the implementation, the SDN control system writes the SDN control system framework through any one of RESTful, SOAP, C, and Java, so that the SDN control system can be written through multiple writing languages.
In this implementation, the SDN control system is connected to the switch through an OpenFlow protocol, the smart sensor device and the data receiving and storing module form a forwarding layer, a bottom layer part after separation of network resources from software and hardware is set as a physical device layer and a physical device abstraction layer, loose coupling of the network resources from the software and the hardware is completed through the forwarding layer, and the data flow is programmed based on a flow table and consistency of updating the flow table is achieved.
In this implementation, the automatic service orchestration system dynamically provides an orchestration template and a control policy according to service requirements, the upper layer service matches the packet header content of a data packet received by the switch through a global load balancing policy based on network resources and application resources, counts data flow related information, maintains each flow table, each data flow, each device port, and each forwarding queue in the switch, and indicates how the switch processes the matched data packet after receiving the matched data packet, maintains each flow table, each data flow, each device port, and each forwarding queue in the switch, is used for counting device flow related information, counts the number of currently active entries, the number of times of querying the data packet, the number of times of matching the data packet, and the like for each flow table, and counts the number of bytes, data packets, and the like for each data flow, The duration of the data flow, etc. for each device port, in addition to the indexes of the number of received data packets, the number of transmitted data packets, the number of received bytes, the number of transmitted bytes, etc., the number of times of various errors, etc. for each queue, the number of transmitted data packets and the number of bytes, and the number of errors overflowing during transmission, etc. are counted, the flow table action sends out the data packets from all the ports except the ingress port, sends the data packets to the controller, sends the data packets to the local port of the switch, installs the flow table matching entry processing on the data packets, sends out the data packets from the ingress port, processes the data packets according to the flow of the ordinary two-layer switch, forwards the data packets from the minimum spanning tree enabling port, sets the VLAN ID, the VLAN priority, strips off the header, modifies the source MAC address, the destination MAC address, the IPV4 address, the IPV4 address, etc., sets the VLAN ID, the VLAN priority, The To5 bit modifies the source port number and the destination port number, and the switch will perform default drop processing for all packets that it matches for flow table entries that do not explicitly specify processing actions.
In the implementation, after receiving a data Packet, the switch performs flow table lookup, automatically searches for an entry matching the Packet header of the data Packet, processes the data Packet according to an action list indicated by the flow table after the entry is found, and encapsulates the data Packet in a Packet-in message and sends the data Packet to the controller for processing if the entry is not found.
To sum up, in this embodiment, the header content of a packet received by a switch is matched, data flow related information is counted, each flow table, each data flow, each device port, and each forwarding queue in the switch are maintained, and the switch is instructed how to process the matched packet after receiving the matched packet, maintenance is performed for each flow table, each data flow, each device port, and each forwarding queue in the switch for counting device flow related information, for each flow table, the number of currently active entries, the number of packet queries, the number of packet matches, etc., is counted for each data flow, the number of received packets, the number of bytes, the duration of the data flow, etc., is counted for each device port, except for counting the number of received packets, the number of transmitted packets, the number of received bytes, the number of transmitted bytes, and other indexes, the flow table action sends the data packet from all other ports except the input port, sends the data packet to the controller, sends the data packet to the local port of the switch, installs the data packet into the flow table to be matched with the item processing, sends the data packet from the input port, processing the data packet according To the flow of the common two-layer switch, forwarding the data packet from the minimum spanning tree enabled port, modifying the domain To set the VLAN ID and the VLAN priority, stripping the VLAN header, modifying the source MAC address and the destination MAC address, modifying the IPV4 address, modifying the destination IPV4 address, modifying the source port number and the destination port number at the To5 bit, and performing default discarding processing on all the data packets matched with the flow table entry which does not explicitly indicate the processing action by the switch.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (7)
1. A method for optimizing a smart grid by using an SDN technology is characterized by comprising the following steps: the method comprises the following steps:
with every meteorological, photovoltaic collection sensing equipment and by photovoltaic unit, miniature gas turbine group, fill the little electric wire netting that electric pile and big electric wire netting constituted and insert to data reception storage module, data reception storage module includes data processing unit, distribution network state monitoring unit, vehicle information module and dispatch administrative unit, will data reception storage module and wireless communication module are connected:
connecting a wireless communication module with a switch, and simultaneously connecting the wireless communication module with a historical photovoltaic data storage module, a historical meteorological data storage module and a scheduling solar meteorological data storage module, wherein the historical photovoltaic data storage module collects historical power generation power data of a photovoltaic unit and transmits the historical power generation power data to a photovoltaic output prediction module, and the historical meteorological data storage module collects historical meteorological data of the area where the photovoltaic unit is located and transmits the historical meteorological data to the photovoltaic output prediction module:
the method comprises the following steps that a switch and a controller are connected into an SDN control system through an SDN southbound interface, and the SDN control system comprises a control instruction receiving and issuing system, an automatic service arranging system and a control cloud system:
the controller is connected with an upper-layer service interface through an SDN northbound interface, and the upper-layer service comprises a vehicle information service and a charging demand service.
2. The method of claim 1, wherein the method comprises the following steps: the SDN control system writes the SDN control system framework through any one of RESTful, SOAP, C and Java.
3. The method of claim 1, wherein the method comprises the following steps: the SDN control system is connected with the switch through an OpenFlow protocol.
4. The method of claim 1, wherein the method comprises the following steps: the intelligent sensing equipment and the data receiving and storing module form a forwarding layer, the bottom layer part of the network resource after the software and the hardware are separated is set as a physical equipment layer and a physical equipment abstraction layer, and loose coupling of the network software and the network hardware is completed through the forwarding layer.
5. The method of claim 1, wherein the method comprises the following steps: the automatic service arrangement system dynamically provides an arrangement template and a control strategy according to service requirements, and the upper-layer service passes through a global load balancing strategy based on network resources and application resources.
6. The method of claim 1, wherein the method comprises the following steps: and matching the header content of the data packet received by the switch, counting data flow related information, maintaining each flow table, each data flow, each equipment port and each forwarding queue in the switch, and indicating how to process the matched data packet after the switch receives the matched data packet.
7. The method of claim 1, wherein the method comprises the following steps: and after receiving a data Packet, the switch searches a flow table, automatically searches items matched with the Packet head of the data Packet, processes the data Packet according to an action list indicated by the flow table after finding the items, and encapsulates the data Packet in a Packet-in message and sends the data Packet to the controller for processing if the items are not found.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104125092A (en) * | 2013-04-25 | 2014-10-29 | 杭州华三通信技术有限公司 | Matching method and device of network resource |
| CN105634945A (en) * | 2015-12-22 | 2016-06-01 | 国网吉林省电力有限公司信息通信公司 | Method for optimizing intelligent power grid by using service digital network (SDN) technology |
| CN107590607A (en) * | 2017-09-19 | 2018-01-16 | 合肥工业大学 | A kind of micro-capacitance sensor Optimal Scheduling and method based on photovoltaic prediction |
| CN109257091A (en) * | 2018-09-18 | 2019-01-22 | 北京邮电大学 | Global load balancing star ground contract network network device and method |
-
2019
- 2019-03-14 CN CN201910193340.3A patent/CN111697614A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104125092A (en) * | 2013-04-25 | 2014-10-29 | 杭州华三通信技术有限公司 | Matching method and device of network resource |
| CN105634945A (en) * | 2015-12-22 | 2016-06-01 | 国网吉林省电力有限公司信息通信公司 | Method for optimizing intelligent power grid by using service digital network (SDN) technology |
| CN107590607A (en) * | 2017-09-19 | 2018-01-16 | 合肥工业大学 | A kind of micro-capacitance sensor Optimal Scheduling and method based on photovoltaic prediction |
| CN109257091A (en) * | 2018-09-18 | 2019-01-22 | 北京邮电大学 | Global load balancing star ground contract network network device and method |
Non-Patent Citations (1)
| Title |
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