CN111198548B - Power system and information system combined scheduling system based on intelligent node overlay network - Google Patents

Power system and information system combined scheduling system based on intelligent node overlay network Download PDF

Info

Publication number
CN111198548B
CN111198548B CN202010055978.3A CN202010055978A CN111198548B CN 111198548 B CN111198548 B CN 111198548B CN 202010055978 A CN202010055978 A CN 202010055978A CN 111198548 B CN111198548 B CN 111198548B
Authority
CN
China
Prior art keywords
information
power system
intelligent node
control strategy
scheduling control
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010055978.3A
Other languages
Chinese (zh)
Other versions
CN111198548A (en
Inventor
慈松
康重庆
程林
贺鸿杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cloud Storage New Energy Technology Co ltd
Original Assignee
Tsinghua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tsinghua University filed Critical Tsinghua University
Priority to CN202010055978.3A priority Critical patent/CN111198548B/en
Publication of CN111198548A publication Critical patent/CN111198548A/en
Priority to PCT/CN2020/140093 priority patent/WO2021143503A1/en
Application granted granted Critical
Publication of CN111198548B publication Critical patent/CN111198548B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides an intelligent node overlay network-based power system and information system combined scheduling system, and belongs to the field of information interaction and network architecture. The system comprises a plurality of interconnected intelligent nodes; each intelligent node comprises: the intelligent node interaction port, the power system interaction port, the information system interaction port, the data fusion and aggregation module, the data storage module and the data processing module are arranged in the intelligent node interaction port; and each intelligent node acquires the information of the power system and the information system and the local optimal combined dispatching control strategy on other intelligent nodes, processes the converged information of the power system and the information system, generates the local optimal combined dispatching control strategy of the power system and the information system of the intelligent node and sends the local optimal combined dispatching control strategy of the power system and the information system to the information system computing load dispatching unit and the power system energy dispatching unit for implementation. The invention realizes the deep fusion perception and control of the power system and the information system, and improves the reliability and the safe and economic operation capability of the power system.

Description

Power system and information system combined scheduling system based on intelligent node overlay network
Technical Field
The invention provides an intelligent node overlay network-based power system and information system combined scheduling system, and belongs to the field of information interaction and network architecture.
Background
With the continuous development of renewable energy sources, the proportion of novel renewable energy sources such as wind power and photovoltaic in a power system is continuously increased. By the end of 2018, the renewable energy power generation and installation machine in China reaches 7.28 hundred million kilowatts, and the renewable energy power generation and installation machine is increased by 12 percent on year-on-year basis; wherein, wind power installation 1.84 hundred million kilowatts, photovoltaic power installation 1.74 hundred million kilowatts, increase 12.4% and 34% respectively on a same scale. It is anticipated that large scale access to renewable energy sources will be an important feature of future power systems. But renewable energy sources also tend to have strong uncertainty, which makes the power supply reliability of the power system lack guarantee. To overcome this uncertainty, the power system often needs to reserve enough spare capacity when scheduling the generator set output scheduling control strategy, so as to provide sufficient flexible resources for the power system.
In order to meet the demand for the use of cloud computing services, which has been rapidly increasing worldwide, cloud computing service providers build data centers according to the demand for service use, which also form a network that can communicate with each other and transfer computing tasks. The computing task is becoming an important load of the power system as an information system load consuming electric energy. Different from the traditional power load, the calculation tasks can be transferred among different data centers, and meanwhile, with the development of a high-reliability low-delay transmission technology, the calculation tasks of the data centers can also be scheduled by the power system in the future, so that flexibility is provided for the scheduling of the power system.
However, the joint scheduling of the power system and the information system has the following problems in the information interaction and network architecture:
(1) there are differences in communication protocols and data structures between power systems and information systems. Communication protocols commonly used in the power system are global protocols, such as an IEC 61850 protocol for a substation, an IEC 61334 protocol for distribution automation, and the like, while the current protocols applied to information system data center communication are often based on a local area network, so that the communication protocols of the two protocols conflict. In terms of data structure, data used in the power system is mostly state variables of the power system and belongs to an array structure, while data used in the information system is mostly calculation tasks and belongs to a queue or stack structure, so that the joint processing and analysis of the data have conflicts.
(2) Joint scheduling imposes a computational burden on both the power system and the information system. In order to analyze and process the system state in real time and realize the joint scheduling of the power system and the information system, a complex information processing device and a policy control device are often required to be additionally installed. If the above devices are added to the power system and the information system, the power system also has functions of detecting the frequency stability of the system in real time, monitoring the out-of-limit situation of the power flow of the system line, and the like, and the information system also needs to detect the loss rate of information transmission, and the like, so that the joint scheduling additionally increases the calculation burden of the power system and the information system, and influences the realization of the original functions.
At present, no network architecture can realize joint scheduling of a power system and an information system.
Disclosure of Invention
The invention aims to fill the blank of the prior art and provides a power system and information system combined scheduling system based on an intelligent node overlay network. The invention breaks the gap between the power system and the information system in the aspects of communication protocols, data types and the like, and realizes the interactive perception and interaction between the power system and the information system; the invention extracts the calculation burden of the data processing and operation scheduling control strategy from the power system and the information system, reduces the communication and calculation pressure of the power system and the information system, and improves the reliability of the whole system; meanwhile, the invention can realize the combined dispatching operation of the power system and the information system, fully exert the efficient, rapid and flexible dispatching capability of the calculation load and improve the economical efficiency and the reliability of the operation of the power system.
The invention provides an electric power system and information system combined scheduling system based on an intelligent node overlay network, which is characterized by comprising N intelligent nodes which are mutually connected, wherein N is NG+NIIn which N isGFor the number of energy scheduling units in the power system, NICalculating the number of load scheduling units in the information system; wherein each intelligent node includes: the intelligent node interaction port, the power system interaction port and the information system interaction port are arranged on the intelligent node; the intelligent node interaction port is connected with the intelligent node interaction ports of other intelligent nodes and is used for sending the local optimal joint scheduling control strategy of the power system and the information system of the intelligent node and receiving the local optimal joint scheduling control strategy of the power system and the information system of other intelligent nodes; the power system interaction port is respectively connected with each data acquisition and monitoring control module SCADA and the synchronous phasor measurement unit PMU in the power system and is used for acquiring the network of the power systemNetwork topology information, power generation cost and installed capacity information of all generator sets and power utilization curve information of all power loads; meanwhile, the power system interaction port is connected with all power system energy scheduling units and is used for sending a power generation scheduling control strategy corresponding to the power system in the local optimal combined scheduling control strategy of the intelligent node to each power system energy scheduling unit; the information system interaction port is connected with each information management system in the information system respectively and is used for acquiring the maximum transmission capacity and transmission cost of each information transmission channel, the connection relation between data centers and the load of a calculation task from the information management systems; meanwhile, the information system interaction port is respectively connected with each information system computation load scheduling unit and is used for sending an information load scheduling strategy corresponding to the information system in the local optimal joint scheduling control strategy of the intelligent node to each information system computation load scheduling unit;
each intelligent node further comprises: a data fusion convergence module; the data fusion aggregation module is respectively connected with the intelligent node interaction port, the power system interaction port and the information system interaction port and is used for receiving local optimal joint scheduling control strategies of other intelligent nodes from the intelligent node interaction port so as to generate a global intelligent node local optimal joint scheduling control strategy fusion data set; receiving network topology information of the power system, power generation cost and installed capacity information of all generator sets and power utilization curve information of all power loads from the power system interaction port, and generating a power system fusion parameter set; receiving the maximum transmission capacity and transmission cost of all information transmission channels, the connection relation between data centers and the load information of a calculation task from an information system interaction port, and generating an information system fusion parameter set;
the data storage module is connected with the data fusion aggregation module and used for receiving and storing the global intelligent node local optimal joint scheduling control strategy fusion parameter set, the power system fusion parameter set and the information system fusion parameter set which are sent by the data fusion aggregation module;
the data processing module is respectively communicated with the data storage module, the intelligent node interaction port, the power system interaction port and the information system interaction port and is used for receiving the power system fusion parameter set, the information system fusion parameter set and the global intelligent node local optimal joint scheduling control strategy fusion parameter set which are sent by the data storage module; the data processing module obtains a power generation scheduling control strategy of each generator in the power system and an information transmission scheduling control strategy of each transmission channel in the information system as the local optimal combined scheduling control strategy of the power system and the information system obtained by the intelligent node by utilizing the received power system fusion parameter set and the information system fusion parameter set through distributed optimization solution; the data processing module compares the received local optimal joint scheduling control strategy of other intelligent nodes in the global intelligent node local optimal joint scheduling control strategy fusion parameter set with the local optimal joint scheduling control strategy obtained by the intelligent node: if the local optimal joint scheduling control strategy of the intelligent node is inconsistent with the local optimal joint scheduling control strategies of other intelligent nodes, acquiring the fusion parameter set of the power system and the fusion parameter set of the information system from the data storage module again, updating the local optimal joint scheduling control strategy of the intelligent node until the local optimal joint scheduling control strategy of the intelligent node is consistent with the local optimal joint scheduling control strategies of other intelligent nodes, then sending the local optimal joint scheduling control strategy of the intelligent node to other intelligent nodes through intelligent node interaction ports by the data processing module, sending the power generation scheduling control strategy of each generator set in the local optimal joint scheduling control strategy of the intelligent node to a power system energy scheduling unit in the power system through the power system interaction ports, and sending the information transmission scheduling control strategy of each information transmission channel in the local optimal joint scheduling control strategy of the intelligent node to an information system energy scheduling unit in the power system through the power system interaction ports And sending the data to a calculation load scheduling unit in the information system through an information system interaction port.
The invention has the characteristics and beneficial effects that:
the invention provides a power system and information system combined scheduling system based on an intelligent node overlay network, which breaks the gap between the power system and the information system in the aspects of communication protocols, data types and the like, and realizes the interactive perception and interaction of the power system and the information system; according to the invention, the intelligent node overlay network is established, the running state parameters of the power system and the information system are extracted and processed in real time, the calculation burden of the data processing and running scheduling control strategy is extracted from the power system and the information system, the communication and calculation pressure of the power system and the information system is reduced, and the reliability of the whole system is improved; meanwhile, the invention realizes the joint dispatching operation of the power system and the information system through the calculation and processing capacity of the intelligent power-saving overlay network, fully exerts the efficient, rapid and flexible allocation capacity of the calculation load, and improves the economical efficiency and the reliability of the operation of the power system.
1. The overlay network provided by the invention can be used for perception, communication and interaction of two different systems, namely a power system and an information system;
2. the intelligent node provided by the invention can extract and process the running state parameters of the power system and the information system in real time, and undertakes calculation and communication tasks through the overlay network, thereby reducing the calculation and communication burden of the power system and the information system;
3. the method can be used as a management and control system for joint scheduling of the power system and the information system, ensures the optimality of joint scheduling operation, and improves the economy and reliability of the operation of the power system through the space-time scheduling of the information load.
Drawings
Fig. 1 is a schematic structural diagram of a system according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an intelligent node according to an embodiment of the present invention.
Detailed Description
The invention provides a power system and information system combined dispatching system based on an intelligent node overlay network, and the invention is further described in detail below by combining the attached drawings and specific embodiments.
The invention provides an electric power system and information system combined dispatching system based on an intelligent node overlay network, the overall structure of which is shown in figure 1 and comprises NInterconnected intelligent nodes, N ═ NG+NIIn which N isGFor the number of energy scheduling units in the power system, NICalculating the number of load scheduling units in the information system, wherein each intelligent node is connected with other intelligent nodes;
each intelligent node, the structure of which is shown in fig. 2, includes: the intelligent node interaction port, the power system interaction port and the information system interaction port are arranged on the intelligent node; the intelligent node interaction port is connected with the intelligent node interaction ports of other intelligent nodes through an optical fiber transmission line and used for sending the local optimal joint scheduling control strategy of the power system and the information system of the intelligent node and receiving the local optimal joint scheduling control strategies of the power system and the information system of other intelligent nodes, so that mutual transmission of the local optimal joint scheduling control strategies of the power system and the information system among the intelligent nodes is realized; the power system interaction port is respectively connected with all Data Acquisition And monitoring Control modules (SCADA) And synchronous Phasor Measurement Units (PMUs) in the power system through optical fiber transmission lines, And is used for acquiring network topology information of the power system, power generation cost And installed capacity information of all generator sets And power utilization curve information of all power loads from the power system; meanwhile, the power system interaction port is also connected with all power system energy scheduling units in the power system and is used for sending a power generation scheduling control strategy corresponding to the power system in the local optimal combined scheduling control strategy obtained by solving the intelligent node to each power system energy scheduling unit; the information system interaction port is connected with all information management systems in the information system through optical fiber transmission lines, and the information system in the invention is explained by a system consisting of a data center, an information transmission channel connected between the data centers, a calculation load scheduling unit and the information management system, and can be divided into a plurality of information subsystems according to the spatial distribution of the data centers and the actual requirements of joint dispatchers. The information system interaction port is used for acquiring the maximum transmission capacity and transmission cost of each information transmission channel, the connection relation between data centers and the load amount of a calculation task from the information management system; meanwhile, the information system interaction port is respectively connected with each information system computation load scheduling unit and is used for sending an information transmission scheduling control strategy corresponding to the information system in the local optimal combined scheduling control strategy obtained by the intelligent node to each information system computation load scheduling unit;
each intelligent node further comprises: a data fusion convergence module; the data fusion convergence module is respectively connected with the intelligent node interaction port, the power system interaction port and the information system interaction port through optical fiber transmission lines, and is used for receiving local optimal joint scheduling control strategies of other intelligent nodes from the intelligent node interaction port, and the method comprises the following steps: receiving network topology information of the power system, power generation cost and installed capacity information of all the generator sets and power utilization curve information of all power loads, which are received from an SCADA (supervisory control and data acquisition) and a PMU (phasor measurement unit) in the power system, from an interaction port of the power system, and receiving the maximum transmission capacity and transmission cost of all the information transmission channels, the connection relation between the data centers and the load information of a calculation task, which are received from an information management system in the information system, from the interaction port of the information system; the data fusion aggregation module arranges the local optimal power generation scheduling control strategies of all the generator sets and the information transmission scheduling control strategies of the information transmission channels of all the data centers received from other intelligent nodes in a matrix form according to the sequence of the intelligent nodes to obtain a local optimal joint scheduling control strategy fusion data set of other intelligent nodes; the data fusion aggregation module arranges the received network topology information of the power system, the power generation cost and installed capacity information of all generator sets and the power utilization curve information of all power loads, which are received by an SCADA (supervisory control and data acquisition) and PMU (power management unit) measuring device in the power system, according to the sequence of each generator set, each node load and each line, and arranges the node loads and each line in a matrix form according to a time sequence on the basis to obtain a power system fusion parameter set; the data fusion aggregation module arranges the received maximum transmission capacity and transmission cost of all information transmission channels in the information system, the connection relation among the data centers and the load information of the calculation task according to the sequence of each data center and each information transmission channel, and arranges the information transmission channels into a matrix form according to the time sequence on the basis to obtain an information system fusion parameter set; and the data fusion aggregation module sends the fusion data set of the local optimal joint scheduling control strategy of other intelligent nodes, the fusion parameter set of the power system and the fusion parameter set of the information system to the data storage module.
The data storage module is connected with the data fusion aggregation module through an optical fiber transmission line and used for receiving and storing the global intelligent node local optimal joint scheduling control strategy fusion parameter set, the power system fusion parameter set and the information system fusion parameter set which are sent by the data fusion aggregation module;
and the data processing module is respectively connected with the data storage module, the intelligent node interaction port, the power system interaction port and the information system interaction port through optical fiber transmission lines. The data processing module is used for receiving the power system fusion parameter set, the information system fusion parameter set and the global intelligent node local optimal joint scheduling control strategy fusion parameter set which are sent by the data storage module; the data processing module is internally provided with a combined scheduling model of the power system and the information system, the scheduling model can be determined by a user according to actual requirements, for example, a scheduling algorithm can use the lowest power consumption as a target function according to the selection of the user, and can also use the lowest total cost of the combined scheduling of the power system and the information system as the target function, and the like; the data processing module takes the received power system fusion parameter set and the information system fusion parameter set as boundary conditions of a scheduling algorithm, obtains a power generation scheduling control strategy of each generator in the power system and an information transmission scheduling control strategy of each transmission channel in the information system through distributed optimization solution, and takes the power generation scheduling control strategy and the information transmission scheduling control strategy as local optimal combined scheduling control strategies of the power system and the information system obtained by the intelligent node. In order to prevent problems of data transmission delay, transmission errors and the like, the data processing module compares the received joint scheduling local optimal scheduling control strategies of other intelligent nodes in the global intelligent node local optimal joint scheduling control strategy fusion parameter set with the local optimal joint scheduling control strategy obtained by the intelligent node, if the local optimal joint scheduling control strategy of the node is inconsistent with the local optimal joint scheduling control strategies of other intelligent nodes, the latest electric power system fusion parameter set and information system fusion parameter set are obtained from the data storage module again, and the local optimal joint scheduling control strategy of the intelligent node is calculated by using a built-in optimization algorithm until the local optimal joint scheduling control strategy of the intelligent node is consistent with the local optimal joint scheduling control strategies of other intelligent nodes. After the local optimal joint scheduling control strategies of other intelligent nodes are consistent, the data processing module sends the local optimal joint scheduling control strategies of the intelligent nodes to other intelligent nodes through intelligent node interaction ports, sends the power generation scheduling control strategies of each generator set in the local optimal joint scheduling control strategies of the intelligent nodes to corresponding power system energy scheduling units through power system interaction ports, and sends the information transmission scheduling control strategies of each information transmission channel in the local optimal joint scheduling control strategies of the intelligent nodes to corresponding information system computing load scheduling units through information system interaction ports.
In the invention, each intelligent node generates a local optimal joint scheduling control strategy of the whole power system, but in order to prevent the problems of time delay and the like, each intelligent node needs to calculate the local optimal joint scheduling control strategy and then compares the local optimal joint scheduling control strategies with each other.
The working principle of the system of the invention is as follows:
the function of the overlay network in the invention is real-time extraction, interaction and processing of the information of the power system and the information system. The function of the system of the invention is realized by the following steps:
(1) and each intelligent node interactively communicates with all other intelligent nodes by using an XML language through an intelligent node interaction port of the node, and is used for receiving the local optimal joint scheduling control strategy of the power system and the information system, which is obtained by other intelligent nodes, from the intelligent node interaction port. Meanwhile, each intelligent node communicates with all SCADA and PMU in the power system through the power system interaction port of the intelligent node by means of a 61850 communication protocol, and is used for acquiring network topology information of the power system, power generation cost and installed capacity information of all generator sets and power utilization curve information of all power loads from the power system. Each intelligent node communicates with all information management modules in the information system through an information system interaction port of the node by using the internet technology, and is used for acquiring the maximum transmission capacity and transmission cost of each information transmission channel, the connection relation between data centers and the load of a calculation task from the information system; the intelligent node interaction port sends all the collected information to the data fusion convergence module;
the local optimal combined scheduling control strategy of the power system and the information system comprises the following steps: the local optimal power generation scheduling control strategies of all the generator sets and the local optimal information transmission scheduling control strategies of the information transmission channels of all the data centers.
(2) The data fusion aggregation module arranges the received network topology information of the power system, the power generation cost and installed capacity information of all the generator sets and the power utilization curve information of all the power loads according to the sequence of each node load and each line of each generator set, and arranges the information in a matrix form according to the time sequence on the basis to obtain a power system fusion parameter set; the data fusion aggregation module arranges the received maximum transmission capacity and transmission cost of all information transmission channels in the information system, the connection relation between the data centers and the load information of the calculation task according to the sequence of each data center and each information transmission channel, and arranges the information in a matrix form according to the time sequence on the basis to obtain an information system fusion parameter set; the data fusion aggregation module is arranged in a matrix form according to the sequence of the intelligent nodes, the local optimal power generation scheduling control strategies of all the generator sets and the information transmission scheduling control strategies of the information transmission channels of all the data centers, which are received by the data fusion aggregation module from other intelligent nodes, so as to obtain a local optimal combined scheduling control strategy fusion data set of other intelligent nodes, and send the power system fusion parameter set, the information system fusion parameter set and the local optimal combined scheduling control strategy fusion data set of other intelligent nodes to the data storage module;
(3) the data storage module stores the received power system fusion parameter set, information system fusion parameter set and other intelligent node local optimal joint scheduling control strategy fusion data set, and then sends the power system fusion parameter set, the information system fusion parameter set and other intelligent node local optimal joint scheduling control strategy fusion data set to the data processing module.
(4) And the data processing module receives the power system fusion parameter set, the information system fusion parameter set and other intelligent node local optimal combined scheduling control strategy fusion data sets transmitted by the data storage module, and takes the power system fusion parameter set and the information system fusion parameter set as input conditions of a combined scheduling optimization model of the power system and the information system, wherein the optimization model can be specified by a user according to actual requirements. And the data processing module obtains a power generation scheduling control strategy of each generator in the power system and an information transmission scheduling control strategy of each transmission channel in the information system through distributed optimization solution, and the power generation scheduling control strategy and the information transmission scheduling control strategy are used as local optimal combined scheduling control strategies of the power system and the information system of the intelligent node.
(5) In order to prevent the problems of data transmission delay, transmission errors and the like, the data processing module performs consistency judgment on the local optimal joint scheduling control strategy of the intelligent node and the received local optimal scheduling control strategies of other intelligent nodes and a fusion data set: if the local optimal joint scheduling control strategy of the intelligent node is inconsistent with the local optimal joint scheduling control strategies of other intelligent nodes, the data processing module reads the fusion parameter set of the power system and the fusion parameter set of the information system again, and continuously updates the local optimal joint scheduling control strategy of the intelligent node by using a built-in joint scheduling optimization model until the local optimal joint scheduling control strategy of the intelligent node is consistent with the local optimal joint scheduling control strategies of other intelligent nodes;
(6) the data processing module sends the obtained local optimal combined scheduling control strategy of the intelligent node to other intelligent nodes through an intelligent node interaction port, sends the power generation scheduling control strategy of each generator set in the local optimal combined scheduling control strategy of the intelligent node to a corresponding power system energy scheduling unit in a power system through a power system interaction port, and sends the information transmission scheduling control strategy of each information transmission channel in the local optimal combined scheduling control strategy of the intelligent node to a corresponding calculation load scheduling unit in the information system through an information system interaction port, so that the combined scheduling operation of the power system and the information system is realized.

Claims (1)

1. The utility model provides an electric power system and information system joint scheduling system based on intelligent node overlay network which characterized in that includes N intelligent node of interconnect, N is NG+NIIn which N isGFor the number of energy scheduling units in the power system, NICalculating the number of load scheduling units in the information system; wherein each intelligent node includes: the intelligent node interaction port, the power system interaction port and the information system interaction port are arranged on the intelligent node; the intelligent node interaction port is connected with the intelligent node interaction ports of other intelligent nodes and is used for sending the local optimal joint scheduling control strategy of the power system and the information system of the intelligent node and receiving the local optimal joint scheduling control strategy of the power system and the information system of other intelligent nodes; the power system interaction port is respectively connected with each data acquisition and monitoring control module SCADA and a synchronous phasor measurement unit PMU in the power system and is used for acquiring network topology information of the power system, power generation cost and installed capacity information of all generator sets and power utilization curve information of all power loads; meanwhile, the power system interaction port is connected with all power system energy scheduling units and is used for sending a power generation scheduling control strategy corresponding to the power system in the local optimal combined scheduling control strategy of the intelligent node to each power system energy scheduling unit; the information system interaction port is respectively connected with each information management system in the information system and is used for acquiring the maximum of each information transmission channel from the information management systemThe connection relation between the transmission capacity and the transmission cost and between the data centers and the load amount of the calculation task; meanwhile, the information system interaction port is respectively connected with each information system computation load scheduling unit and is used for sending an information load scheduling strategy corresponding to the information system in the local optimal joint scheduling control strategy of the intelligent node to each information system computation load scheduling unit;
each intelligent node further comprises: a data fusion convergence module; the data fusion aggregation module is respectively connected with the intelligent node interaction port, the power system interaction port and the information system interaction port and is used for receiving local optimal joint scheduling control strategies of other intelligent nodes from the intelligent node interaction port so as to generate a global intelligent node local optimal joint scheduling control strategy fusion data set; receiving network topology information of the power system, power generation cost and installed capacity information of all generator sets and power utilization curve information of all power loads from the power system interaction port, and generating a power system fusion parameter set; receiving the maximum transmission capacity and transmission cost of all information transmission channels, the connection relation between data centers and the load information of a calculation task from an information system interaction port, and generating an information system fusion parameter set;
the data storage module is connected with the data fusion aggregation module and used for receiving and storing the global intelligent node local optimal joint scheduling control strategy fusion parameter set, the power system fusion parameter set and the information system fusion parameter set which are sent by the data fusion aggregation module;
the data processing module is respectively communicated with the data storage module, the intelligent node interaction port, the power system interaction port and the information system interaction port and is used for receiving the power system fusion parameter set, the information system fusion parameter set and the global intelligent node local optimal joint scheduling control strategy fusion parameter set which are sent by the data storage module; the data processing module obtains a power generation scheduling control strategy of each generator in the power system and an information transmission scheduling control strategy of each transmission channel in the information system as the local optimal combined scheduling control strategy of the power system and the information system obtained by the intelligent node by utilizing the received power system fusion parameter set and the information system fusion parameter set through distributed optimization solution; the data processing module compares the received local optimal joint scheduling control strategy of other intelligent nodes in the global intelligent node local optimal joint scheduling control strategy fusion parameter set with the local optimal joint scheduling control strategy obtained by the intelligent node: if the local optimal joint scheduling control strategy of the intelligent node is inconsistent with the local optimal joint scheduling control strategies of other intelligent nodes, acquiring the fusion parameter set of the power system and the fusion parameter set of the information system from the data storage module again, updating the local optimal joint scheduling control strategy of the intelligent node until the local optimal joint scheduling control strategy of the intelligent node is consistent with the local optimal joint scheduling control strategies of other intelligent nodes, then sending the local optimal joint scheduling control strategy of the intelligent node to other intelligent nodes through intelligent node interaction ports by the data processing module, sending the power generation scheduling control strategy of each generator set in the local optimal joint scheduling control strategy of the intelligent node to a power system energy scheduling unit in the power system through the power system interaction ports, and sending the information transmission scheduling control strategy of each information transmission channel in the local optimal joint scheduling control strategy of the intelligent node to an information system energy scheduling unit in the power system through the power system interaction ports And sending the data to a calculation load scheduling unit in the information system through an information system interaction port.
CN202010055978.3A 2020-01-18 2020-01-18 Power system and information system combined scheduling system based on intelligent node overlay network Active CN111198548B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202010055978.3A CN111198548B (en) 2020-01-18 2020-01-18 Power system and information system combined scheduling system based on intelligent node overlay network
PCT/CN2020/140093 WO2021143503A1 (en) 2020-01-18 2020-12-28 Power system and information system combined scheduling system based on intelligent node overlay network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010055978.3A CN111198548B (en) 2020-01-18 2020-01-18 Power system and information system combined scheduling system based on intelligent node overlay network

Publications (2)

Publication Number Publication Date
CN111198548A CN111198548A (en) 2020-05-26
CN111198548B true CN111198548B (en) 2021-05-28

Family

ID=70746450

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010055978.3A Active CN111198548B (en) 2020-01-18 2020-01-18 Power system and information system combined scheduling system based on intelligent node overlay network

Country Status (2)

Country Link
CN (1) CN111198548B (en)
WO (1) WO2021143503A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111198548B (en) * 2020-01-18 2021-05-28 清华大学 Power system and information system combined scheduling system based on intelligent node overlay network

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004265393A (en) * 2003-02-13 2004-09-24 Mitsutoyo Corp Control program arranging system and program
CN102325054A (en) * 2011-10-18 2012-01-18 国网电力科学研究院 Self-adaptive adjusting method for hierarchy management of distributed type calculation management platform cluster
CN103269069A (en) * 2013-03-18 2013-08-28 国家电网公司 Method for reconstructing low-voltage power transmission system
CN103617305A (en) * 2013-10-22 2014-03-05 芜湖大学科技园发展有限公司 Self-adaptive electric power simulation cloud computing platform job scheduling algorithm
CN103617067A (en) * 2013-10-22 2014-03-05 芜湖大学科技园发展有限公司 Electric power software simulation system based on cloud computing
CN105323817A (en) * 2015-10-15 2016-02-10 贵州大学 TDMA scheduling method in heterogeneous sensor network based on cluster-tree topological structure
CN106325229A (en) * 2015-06-30 2017-01-11 邻元科技(北京)有限公司 Distributed computing network system
CN107425605A (en) * 2017-06-23 2017-12-01 国网上海市电力公司 Power distribution automation is worth Optimum Regulation system and method under the conditions of intelligent grid
CN110611335A (en) * 2019-09-25 2019-12-24 清华大学 Method and device for considering joint scheduling of power system and information system

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9430745B2 (en) * 2005-12-21 2016-08-30 International Business Machines Corporation Pre-executing workflow preparation activities based on activity probabilities and system load and capacity threshold requirements
CN101414177A (en) * 2008-10-17 2009-04-22 上海纳杰电气成套有限公司 System for converting serial port to Ethernet based on field bus data acquisition
US10289143B2 (en) * 2014-06-12 2019-05-14 Michigan Technological University Agent-based microgrid architecture for generation following protocols
CN104239059B (en) * 2014-09-19 2018-05-29 国家电网公司 Intelligence based on full model matches somebody with somebody the construction method of electricity consumption unified information support platform
CN104318486A (en) * 2014-10-08 2015-01-28 华北电力大学(保定) Cloud computing-based power dispatching data disaster recovery method
US10963800B2 (en) * 2017-07-25 2021-03-30 General Electric Company Service layer augmentation of response to semantically-informed query of arbitrary external data sources
CN109327323B (en) * 2017-08-01 2022-09-30 全球能源互联网研究院 New energy grid-connected power communication network planning and optimizing method and system
CN110416998B (en) * 2019-07-01 2021-01-08 华北电力大学 Regional complex distribution network scheduling control management system based on virtual power plant
CN111198548B (en) * 2020-01-18 2021-05-28 清华大学 Power system and information system combined scheduling system based on intelligent node overlay network

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004265393A (en) * 2003-02-13 2004-09-24 Mitsutoyo Corp Control program arranging system and program
CN102325054A (en) * 2011-10-18 2012-01-18 国网电力科学研究院 Self-adaptive adjusting method for hierarchy management of distributed type calculation management platform cluster
CN103269069A (en) * 2013-03-18 2013-08-28 国家电网公司 Method for reconstructing low-voltage power transmission system
CN103617305A (en) * 2013-10-22 2014-03-05 芜湖大学科技园发展有限公司 Self-adaptive electric power simulation cloud computing platform job scheduling algorithm
CN103617067A (en) * 2013-10-22 2014-03-05 芜湖大学科技园发展有限公司 Electric power software simulation system based on cloud computing
CN106325229A (en) * 2015-06-30 2017-01-11 邻元科技(北京)有限公司 Distributed computing network system
CN105323817A (en) * 2015-10-15 2016-02-10 贵州大学 TDMA scheduling method in heterogeneous sensor network based on cluster-tree topological structure
CN107425605A (en) * 2017-06-23 2017-12-01 国网上海市电力公司 Power distribution automation is worth Optimum Regulation system and method under the conditions of intelligent grid
CN110611335A (en) * 2019-09-25 2019-12-24 清华大学 Method and device for considering joint scheduling of power system and information system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Carbon emission flow: from electricity network to;Yaohua Cheng 等;<Global Energy Interconnection>;20180430;全文 *
主动配电网优化调度策略研究;尤毅 等;《电力系统自动化》;20140510;全文 *
基于主动配电网的城市能源互联网体系架构及其关键技术;蒲天骄 等;《中国电机工程学报》;20150720;全文 *
基于多源多时空信息的配电网SCADA 系统;刘科研 等;《电网技术》;20151130;全文 *

Also Published As

Publication number Publication date
WO2021143503A1 (en) 2021-07-22
CN111198548A (en) 2020-05-26

Similar Documents

Publication Publication Date Title
CN112909992B (en) Distributed power supply cluster grid-connected regulation and control system and method based on cloud management side end
CN112653154B (en) Distributed photovoltaic power distribution network reactive power optimization control method based on edge calculation
CN104239059A (en) Construction method for intelligent power distribution and utilization unified information supporting platform based on full model
CN104992009A (en) Multi-agent system based distributed voltage control method for active power distribution network
CN115833402B (en) Artificial intelligent network command management and issuing system based on power dispatching
CN104201672A (en) Novel micro-grid system control device
CN112491034B (en) Electric power information physical system modeling method based on alternating current power flow model
CN110380512A (en) The intelligent distribution network coordinated control system and method for the information containing synchronized phasor
CN110460074A (en) A kind of energy-accumulating power station comprehensive management and control system
CN112769240A (en) Power plant electrical equipment unified system
CN102842916B (en) For how wind farm grid-connected information collecting method
CN117411007A (en) Distribution network low-voltage treatment method combining distributed photovoltaic and energy storage
CN111198548B (en) Power system and information system combined scheduling system based on intelligent node overlay network
CN114498709A (en) High-speed cooperative distributed energy storage control system
CN116090665A (en) Source network lotus stores up integrated management and control system
CN110611335B (en) Method and device for considering joint scheduling of power system and information system
CN115207918A (en) Real-time stable control device suitable for new forms of energy grid-connected system
Ku et al. Energy information collecting agent for IoT big data system
CN111711214A (en) Micro-grid dispatching monitoring system
Vu et al. Coordination of networked microgrids for supporting voltages of bulk power systems
Li et al. Application-Driven Data Management Framework for Wind Farms by Cloud-Edge-End Collaboration
CN108808666A (en) A kind of energy internet cooperative control system and control method
CN113964940B (en) Production regulation and control method based on demand response terminal and PLC system
CN112865298B (en) Power distribution and utilization power energy router integrating service flow, information flow and energy flow
CN218386826U (en) Remote distributed energy storage control device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20211231

Address after: 264004 2605, building B3, No. 7, Tongshi South Road, Zhifu District, Yantai City, Shandong Province

Patentee after: Shandong Yunchu New Energy Technology Co.,Ltd.

Address before: 100084 No. 1 Tsinghua Yuan, Beijing, Haidian District

Patentee before: TSINGHUA University

TR01 Transfer of patent right
CP03 Change of name, title or address

Address after: Floor 1, Building 4, No. 27, Xingyu Road, Zhifu District, Yantai City, Shandong Province, 264004

Patentee after: Cloud Storage New Energy Technology Co.,Ltd.

Address before: 264004 2605, building B3, No. 7, Tongshi South Road, Zhifu District, Yantai City, Shandong Province

Patentee before: Shandong Yunchu New Energy Technology Co.,Ltd.

CP03 Change of name, title or address