WO2021143503A1 - 基于智能节点重叠网的电力系统和信息系统联合调度系统 - Google Patents

基于智能节点重叠网的电力系统和信息系统联合调度系统 Download PDF

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WO2021143503A1
WO2021143503A1 PCT/CN2020/140093 CN2020140093W WO2021143503A1 WO 2021143503 A1 WO2021143503 A1 WO 2021143503A1 CN 2020140093 W CN2020140093 W CN 2020140093W WO 2021143503 A1 WO2021143503 A1 WO 2021143503A1
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information
control strategy
power system
intelligent
local optimal
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French (fr)
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慈松
康重庆
程林
贺鸿杰
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清华大学
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    • 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]

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  • the present invention proposes a power system and information system joint dispatch system based on an intelligent node overlay network, which belongs to the field of information interaction and network architecture.
  • cloud computing service providers have established data centers based on service use requirements. These data centers also form a communication and transfer computing task between each other.
  • the internet As an information system load that consumes electric energy, computing tasks are gradually becoming an important load of the power system. Different from the traditional power load, because computing tasks can be transferred between different data centers, and with the development of high-reliability and low-latency transmission technology, the computing tasks of data centers will also be dispatched by the power system in the future. The scheduling provides flexibility.
  • the purpose of the present invention is to fill in the gaps in the prior art and propose a joint dispatching system for power systems and information systems based on intelligent node overlapping networks.
  • the present invention breaks the barriers between the power system and the information system in terms of communication protocol and data type, and realizes the interactive perception and interaction between the power system and the information system; the present invention takes the calculation burden of data processing and operation scheduling control strategy from the power system and information system. Extraction from the system reduces the communication and calculation pressure of the power system and the information system, and improves the reliability of the overall system; at the same time, the present invention can realize the joint dispatch operation of the power system and the information system, and give full play to the efficient, fast and flexible allocation capability of the calculation load, Improve the economy and reliability of power system operation.
  • the intelligent node interaction port of each intelligent node is connected, and is used to send the local optimal joint dispatch control strategy of the power system and information system of the intelligent node and receive the local optimal joint dispatch control strategy of the power system and information system of other intelligent nodes;
  • the power system interaction port is connected to each data acquisition and monitoring control module SCADA and the synchronous phasor measurement device PMU in the power system respectively, and is used to obtain the network topology information of the power system, the power generation cost and installed capacity information of all generator sets, and all Power consumption curve information of the power load; at the same time, the power system interaction port
  • Each of the intelligent nodes further includes: a data fusion and aggregation module; the data fusion and aggregation module is respectively connected to the intelligent node interaction port, the power system interaction port, and the information system interaction port, and is used to receive information from other intelligent nodes from the intelligent node interaction port.
  • Local optimal joint dispatching control strategy and then generating global intelligent node local optimal joint dispatching control strategy fusion data set; receiving power system network topology information, power generation cost and installed capacity information of all generating units, and all power from the power system interaction port Load power curve information, generate power system fusion parameter set; receive the maximum transmission capacity and transmission cost of all information transmission channels, the connection relationship between data centers, and the load information of the calculation task from the information system interaction port, and generate the information system Fusion parameter set;
  • a data storage module which is connected to the data fusion and aggregation module, and is used to receive the global intelligent node local optimal joint dispatching control strategy fusion parameter set, the power system fusion parameter set and the information system fusion parameter set sent by the data fusion aggregation module And store
  • the data processing module is respectively connected to the data storage module, the intelligent node interaction port, the power system interaction port and the information system interaction port, and is used to receive the power system fusion parameter set and the information system fusion parameter sent by the data storage module Set and global intelligent node local optimal joint dispatching control strategy fusion parameter set; the data processing module uses the received power system fusion parameter set and information system fusion parameter set to obtain the power generation of each generator in the power system through distributed optimization
  • the dispatching control strategy and the information transmission dispatching control strategy of each transmission channel in the information system are used as the local optimal joint dispatching control strategy of the power system and the information system obtained by the intelligent node;
  • the data processing module combines the received global intelligent node local optimal joint
  • the local optimal joint scheduling control strategy of other intelligent nodes in the scheduling control strategy fusion parameter set is compared with the local optimal joint scheduling control strategy obtained by this intelligent node: If the local optimal joint scheduling control strategy of this intelligent node is compared with the local optimal joint scheduling control strategy of other intelligent nodes If the optimal joint scheduling control strategy is
  • the present invention proposes a power system and information system joint dispatch system based on an overlapping network of intelligent nodes, which breaks the barrier between the power system and the information system in terms of communication protocols and data types, and realizes the interactive perception and interaction of the power system and the information system;
  • the invention extracts and processes the operating state parameters of the power system and information system in real time by establishing an overlapping network of intelligent nodes, extracts the computational burden of data processing and operation scheduling control strategies from the power system and information system, and reduces the power system and information
  • the communication and calculation pressure of the system improves the reliability of the overall system; at the same time, the present invention realizes the joint dispatch operation of the power system and the information system through the calculation and processing capabilities of the intelligent power-saving overlapped network, and gives full play to the efficient, rapid and flexible deployment of the calculation load.
  • the overlay network proposed by the present invention can be used for the perception, communication and interaction of two different systems, the power system and the information system;
  • the intelligent node proposed in the present invention can extract and process the operating state parameters of the power system and information system in real time, and undertake calculation and communication tasks through the overlay network, thereby reducing the calculation and communication burden of the power system and information system;
  • the present invention can be used as a management and control system for the joint dispatch of the power system and the information system, ensuring the optimality of the joint dispatching operation, and improving the economy and reliability of the power system operation through the time air conditioning of the information load.
  • Figure 1 is a schematic diagram of a system structure according to an embodiment of the present invention.
  • Fig. 2 is a schematic diagram of the structure of an intelligent node according to an embodiment of the present invention.
  • the present invention proposes a power system and information system joint dispatching system based on an intelligent node overlay network.
  • each smart node is shown in Figure 2, including: smart node interaction port, power system interaction port, information system interaction port; the smart node interaction port and the smart node interaction port of each other smart node are transmitted through optical fiber transmission lines Connected, used to send the local optimal joint dispatching control strategy of the power system and information system of the intelligent node and receive the local optimal joint dispatching control strategy of the power system and information system of other intelligent nodes to realize the power system and information between each intelligent node
  • the mutual transmission of the local optimal joint dispatching control strategy of the system; the power system interaction port and all the data acquisition and monitoring control modules (Supervisory Control And Data Acquisition, SCADA), synchronous phasor measurement device (Phasor Measurement Unit, PMU) in the power system ) Are respectively connected by optical fiber transmission lines, which are used to obtain the network topology information of the power system, the power generation cost and installed capacity information of all generator sets, and the power consumption curve information of all power loads from the power system; at the same time, the power system interaction port is also connected to the power system All power
  • the information system in the present invention refers to the data center, the information transmission channel connected between the data center, the computing load scheduling unit and the information management
  • the system composed of the system is explained, and the information system in this embodiment can be divided into multiple information subsystems according to the spatial distribution of the data center and the actual needs of the joint scheduler.
  • the information system interaction port is used to obtain the maximum transmission capacity and transmission cost of each information transmission channel, the connection relationship between data centers, and the load of the calculation task from the information management system; at the same time, the information system interaction port and the calculation load of each information system
  • the scheduling units are respectively connected to each information system computing load scheduling unit to send the information transmission scheduling control strategy corresponding to the information system in the local optimal joint scheduling control strategy obtained by the intelligent node;
  • Each intelligent node also includes: a data fusion and aggregation module; the data fusion and aggregation module respectively interacts with the intelligent node interaction port, the power system interaction port and the information system interaction port are connected by optical fiber transmission lines, and are used to receive other intelligent nodes from the intelligent node interaction port
  • the local optimal joint dispatching control strategy includes: the local optimal power generation dispatching control strategy of all generator sets and the information transmission dispatching control strategy of the information transmission channel of all data centers.
  • the SCADA and control strategies of the power system are received from the power system interaction port.
  • the network topology information of the power system received by the PMU, the power generation cost and installed capacity information of all generator sets, and the power consumption curve information of all power loads, and all the information transmission channels received from the information management system in the information system are received from the information system interaction port
  • the maximum transmission capacity and transmission cost, the connection relationship between the data centers, and the load information of the computing task; the data fusion aggregation module controls the local optimal power generation dispatching control strategy and all the generator sets received from other intelligent nodes.
  • the information transmission scheduling control strategy of the information transmission channel of the data center is arranged in a matrix form according to the order of the intelligent nodes to which the local optimal joint scheduling control strategy of other intelligent nodes is fused;
  • the network topology information of the power system received by the SCADA and PMU measuring devices, the power generation cost and installed capacity information of all generator sets, and the power curve information of all electric loads are in accordance with the order of each generator set, each node load and each line Arranging and arranging in a matrix form according to the sequence order on this basis to obtain the power system fusion parameter set;
  • the data fusion aggregation module determines the maximum transmission capacity and transmission cost of all the information transmission channels in the received information system, and the data center
  • the connection relationship and the load information of the calculation tasks are arranged in the order of each data center and each information transmission channel, and on this basis, arranged in a matrix form according to the sequence order to obtain the information system fusion parameter set; data fusion aggregation
  • the module sends the local optimal joint scheduling control strategy
  • a data storage module which is connected to the data fusion and aggregation module through an optical fiber transmission line, and is used to receive the global intelligent node local optimal joint dispatching control strategy fusion parameter set, the power system fusion parameter set and the information system sent by the data fusion aggregation module Fusion parameter set and storage;
  • 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 to receive the power system fusion parameter set, the information system fusion parameter set and the global intelligent node local optimal joint dispatching control strategy fusion parameter set sent by the data storage module; the data processing module has built-in joint dispatching of the power system and the information system Model, the scheduling model can be determined by the user according to actual needs.
  • the scheduling algorithm can use the lowest power consumption as the objective function according to the user's choice, or the lowest total cost of the power system and information system joint dispatch as the objective function, etc.; data
  • the processing module takes the received power system fusion parameter set and information system fusion parameter set as the boundary conditions of the scheduling algorithm, and obtains the generation scheduling control strategy of each generator in the power system and each transmission channel in the information system through distributed optimization solution
  • the information transmission scheduling control strategy of the intelligent node is used as the local optimal joint scheduling control strategy of the power system and the information system obtained by the intelligent node.
  • the data processing module also integrates the received global intelligent node local optimal joint scheduling control strategy into the parameter set of other intelligent nodes’ joint scheduling local optimal scheduling control strategy and this intelligent node.
  • the obtained local optimal joint dispatch control strategy is compared. If the local optimal joint dispatch control strategy of this node is inconsistent with the local optimal joint dispatch control strategy of other intelligent nodes, the latest power system fusion parameter set will be retrieved from the data storage module. Integrate the parameter set with the information system, and continue to use the built-in optimization algorithm to calculate the local optimal joint scheduling control strategy of the intelligent node until it is consistent with the local optimal joint scheduling control strategy of other intelligent nodes.
  • the data processing module After being consistent with the local optimal joint scheduling control strategy of other intelligent nodes, the data processing module sends the local optimal joint scheduling control strategy of the intelligent node to other intelligent nodes through the intelligent node interaction port, and the local optimal joint scheduling control strategy of the intelligent node is sent to other intelligent nodes.
  • the joint dispatch control strategy the power generation dispatch control strategy of each generator set is sent to the corresponding power system energy dispatch unit through the power system interaction port, and the information transmission schedule of each information transmission channel in the local optimal joint dispatch control strategy of the intelligent node The control strategy is sent to the corresponding information system computing load scheduling unit through the information system interaction port.
  • each intelligent node generates the local optimal joint scheduling control strategy of the entire power system.
  • each intelligent node needs to calculate the local optimal joint scheduling control strategy and compare them with each other.
  • the function of the overlay network in the present invention is the real-time extraction, interaction and processing of information from the power system and the information system.
  • the function of the system of the present invention is realized through the following steps:
  • Each intelligent node uses XML language to interact with all other intelligent nodes through the intelligent node interactive port of the node, and is used to receive the local optimal joint scheduling of power system and information system from other intelligent nodes from the intelligent node interactive port. Control Strategy.
  • each smart node communicates with all SCADA and PMU in the power system through the power system interaction port of the node using 61850 communication protocol to obtain the network topology information of the power system and the power generation cost of all generator sets from the power system. And installed capacity information and power consumption curve information for all electrical loads.
  • Each intelligent node uses Internet technology to communicate with all information management modules in the information system through the information system interaction port of the node, and is used to obtain the maximum transmission capacity and transmission cost of each information transmission channel from the information system, and the data center The connection relationship between the two and the load of the calculation task; the intelligent node interaction port will send all the collected information to the data fusion aggregation module;
  • the local optimal joint dispatch control strategy of the power system and the information system includes: the local optimal power generation dispatch control strategy of all generator sets and the local optimal information transmission dispatch control strategy of the information transmission channels of all data centers.
  • the data fusion convergent module will receive the network topology information of the power system, the power generation cost and installed capacity information of all generators and the information of all power loads according to the order of each generator set, each node load and each line. Electricity curve information is arranged, and on this basis, arranged in a matrix form according to the sequence of time sequence to obtain the power system fusion parameter set; the data fusion convergence module is based on the order of each data center and each information transmission channel to the received information system Arrange the maximum transmission capacity and transmission cost of all information transmission channels, the connection relationship between the data centers, and the load information of the computing task, and on this basis, arrange them in a matrix form in sequence order to obtain the information system fusion parameter set ; The data fusion aggregation module receives the local optimal power generation dispatching control strategy of all generator sets from other intelligent nodes and the information transmission dispatching control strategy of the information transmission channel of all data centers according to the order of the intelligent node to which they belong. Intelligent node local optimal joint dispatch control strategy fusion data set, and send
  • the data storage module saves the received power system fusion parameter set, information system fusion parameter set, and other intelligent node local optimal joint dispatching control strategy fusion data set, and then combines the power system fusion parameter set, information system fusion parameter set and The local optimal joint scheduling control strategy fusion data set of other intelligent nodes is sent to the data processing module.
  • the data processing module receives the power system fusion parameter set, information system fusion parameter set and other intelligent node local optimal joint dispatching control strategy fusion data set transmitted by the data storage module, and integrates the power system fusion parameter set and the information system fusion parameter set The set is used as the input condition of the joint dispatch optimization model of the power system and the information system, where the optimization model can be specified by the user according to the actual demand.
  • the data processing module obtains the power generation dispatching control strategy of each generator in the power system and the information transmission dispatching control strategy of each transmission channel in the information system through distributed optimization solution, as the local optimal combination of the power system and the information system of the intelligent node Scheduling control strategy.
  • the data processing module integrates the local optimal joint scheduling control strategy of the intelligent node with the received local optimal scheduling control strategy of other intelligent nodes to determine the consistency of the data set. : If the local optimal joint dispatch control strategy of this intelligent node is inconsistent with the local optimal joint dispatch control strategy of other intelligent nodes, the data processing module will re-read the power system fusion parameter set and the information system fusion parameter set, and continue to use the built-in joint
  • the scheduling optimization model updates 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 strategy of other intelligent nodes;
  • the data processing module sends the obtained local optimal joint dispatch control strategy of the intelligent node to the other intelligent nodes through the intelligent node interaction port, and the power generation of each generator set in the intelligent node's local optimal joint dispatch control strategy
  • the dispatch control strategy is sent to the corresponding power system energy dispatch unit in the power system through the power system interaction port, and the information transmission scheduling control strategy of each information transmission channel in the local optimal joint dispatch control strategy of the intelligent node is sent through the information system interaction port Give the corresponding computing load dispatch unit in the information system, so as to realize the joint dispatch operation of the power system and the information system.
  • first and second are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with “first” and “second” may explicitly or implicitly include at least one of the features. In the description of the present invention, “plurality” means at least two, such as two, three, etc., unless otherwise specifically defined.

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Abstract

一种基于智能节点重叠网的电力系统和信息系统联合调度系统,属于信息交互与网络架构领域。系统包括多个相互连接的智能节点;每个智能节点包括:智能节点交互端口、电力系统交互端口、信息系统交互端口、数据融合汇聚模块、数据存储模块和数据处理模块;每个智能节点获取电力系统和信息系统信息和其他智能节点上的本地最优联合调度控制策略,对汇聚后的电力系统和信息系统信息进行处理后,生成智能节点的电力系统和信息系统本地最优联合调度控制策略并发送给信息系统计算负荷调度单元和电力系统能量调度单元实施。

Description

基于智能节点重叠网的电力系统和信息系统联合调度系统
相关申请的交叉引用
本申请基于申请号为:202010055978.3,申请日为2020年01月18日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本发明提出基于智能节点重叠网的电力系统和信息系统联合调度系统,属于信息交互与网络架构领域。
背景技术
随着可再生能源的不断发展,风电、光伏等新型可再生能源在电力系统中所占比例不断升高。截至2018年底,我国可再生能源发电装机达到7.28亿千瓦,同比增长12%;其中,风电装机1.84亿千瓦、光伏发电装机1.74亿千瓦,分别同比增长12.4%和34%。可以预见,可再生能源的大规模接入将是未来电力系统的重要特征。但是可再生能源也往往具有较强的不确定性,这使得电力系统的供电可靠性缺乏保障。为了克服这种不确定性,电力系统在安排发电机组出力调度控制策略时往往需要预留足够的备用容量,从而为电力系统提供充足的灵活性资源。
近年来世界各地对云计算服务的使用需求增长迅速,为了满足这种需求,云计算服务供应商依据服务使用需求建立数据中心,这些数据中心也形成了一个相互之间可以通信并且转移计算任务的网络。计算任务作为一种消耗电能的信息系统负荷,正逐渐成为电力系统的重要负荷。不同于传统的电力负荷,由于计算任务可以在不同数据中心之间转移,同时随着高可靠低时延传输技术的发展,数据中心的计算任务也将在未来接受电力系统的调度,为电力系统的调度提供灵活性。
但电力系统和信息系统的联合调度在信息交互与网络架构上还存在以下问题:
(1)电力系统和信息系统在通信协议和数据结构上存在差异。电力系统中常用的通信协议为全局性协议,如用于变电站的IEC 61850协议,用于配电自动化的IEC 61334协议等,而目前应用于信息系统数据中心通信的协议往往基于局域网,这使得两者的通信协议存在冲突。在数据结构方面,电力系统中使用的数据大多是电力系统的状态变量,属于数组结构, 而信息系统中使用的数据大多是计算任务,属于队列或堆栈结构,这使得数据的联合处理与分析存在冲突。
(2)联合调度加重了电力系统和信息系统的计算负担。为了对系统状态进行实时地分析与处理,实现电力系统和信息系统的联合调度,往往需要加装复杂的信息处理装置与策略控制装置。若在电力系统和信息系统中加装上述装置,则由于电力系统也肩负着实时检测系统频率稳定、监控系统线路潮流越限情况等职能,同时信息系统也需要检测信息传输的丢失率等,因此联合调度将额外加重电力系统和信息系统的计算负担,影响其原有职能的实现。
目前尚没有一种网络架构能够实现电力系统和信息系统的联合调度。
发明内容
本发明的目的是为填补已有技术的空白之处,提出一种基于智能节点重叠网的电力系统和信息系统联合调度系统。本发明打破了电力系统和信息系统在通信协议和数据类型等方面的隔阂,实现电力系统和信息系统的交互感知与互动;本发明将数据处理和运行调度控制策略的计算负担从电力系统和信息系统中抽取,降低电力系统和信息系统的通信和计算压力,提高整体系统的可靠性;同时本发明能够实现电力系统和信息系统的联合调度运行,充分发挥计算负荷的高效快速灵活的调配能力,提高电力系统运行的经济性和可靠性。
本发明提出一种基于智能节点重叠网的电力系统和信息系统联合调度系统,其特征在于,包括N个相互连接的智能节点,N=N G+N E,其中N G为电力系统中能量调度单元的个数,N E为信息系统中计算负荷调度单元的个数;其中每个智能节点,包括:智能节点交互端口、电力系统交互端口、信息系统交互端口;所述智能节点交互端口和其他每个智能节点的智能节点交互端口相连,用于发送本智能节点的电力系统和信息系统本地最优联合调度控制策略并接收其他智能节点的电力系统和信息系统本地最优联合调度控制策略;所述电力系统交互端口与电力系统中每个数据采集与监视控制模块SCADA和同步相量测量装置PMU分别相连,用于获取电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息;同时电力系统交互端口与所有电力系统能量调度单元相连,用于向每一个电力系统能量调度单元发送该智能节点的本地最优联合调度控制策略中该电力系统对应的发电调度控制策略;所述信息系统交互端口与信息系统中的每个信息管理系统分别相连,用于从信息管理系统获取每个信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量;同时信息系统交互端口与每个信息系统计算负荷调度单元分别相连,用于向每个信息系统计算负荷调度单元发送该智能节点的本地最优联合调度控制策略中该信息系统对应的信息负荷调度策略;
所述每个智能节点还包括:数据融合汇聚模块;所述数据融合汇聚模块分别与智能节点 交互端口、电力系统交互端口和信息系统交互端口相连,用于从智能节点交互端口接收其他智能节点的本地最优联合调度控制策略,进而生成全局智能节点本地最优联合调度控制策略融合数据集;从电力系统交互端口接收电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息,生成电力系统融合参数集;从信息系统交互端口接收所有信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量信息,生成信息系统融合参数集;
数据存储模块,所述数据存储模块与数据融合汇聚模块相连,用于接收数据融合汇聚模块发送的全局智能节点本地最优联合调度控制策略融合参数集、电力系统融合参数集和信息系统融合参数集并存储;
数据处理模块,所述数据处理模块分别与数据存储模块、智能节点交互端口、电力系统交互端口和信息系统交互端口通相连,用于接收数据存储模块发送的电力系统融合参数集、信息系统融合参数集和全局智能节点本地最优联合调度控制策略融合参数集;数据处理模块利用接收到的电力系统融合参数集和信息系统融合参数集,通过分布式优化求解得到电力系统中各台发电机的发电调度控制策略和信息系统中各条传输通道的信息传输调度控制策略作为该智能节点得到的电力系统和信息系统本地最优联合调度控制策略;数据处理模块将接收到的全局智能节点本地最优联合调度控制策略融合参数集中其他智能节点的本地最优联合调度控制策略与本智能节点得到的本地最优联合调度控制策略进行比较:若本智能节点本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略不一致,则重新从数据存储模块获取电力系统融合参数集和信息系统融合参数集,更新本智能节点的本地最优联合调度控制策略,直至智能本节点的本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略一致,然后数据处理模块将本节点的本地最优联合调度控制策略通过智能节点交互端口发送给其他智能节点,将本智能节点的本地最优联合调度控制策略中各台发电机组的发电调度控制策略通过电力系统交互端口发送给电力系统中的电力系统能量调度单元,将本智能节点的本地最优联合调度控制策略中各个信息传输通道的信息传输调度控制策略通过信息系统交互端口发送给信息系统中的计算负荷调度单元。
本发明的特点及有益效果在于:
本发明提出基于智能节点重叠网的电力系统和信息系统联合调度系统,打破了电力系统和信息系统在通信协议和数据类型等方面的隔阂,实现了电力系统和信息系统的交互感知和互动;本发明通过建立智能节点重叠网,对电力系统和信息系统的运行状态参数进行实时提取与实时处理,将数据处理和运行调度控制策略的计算负担从电力系统和信息系统中抽取,降低电力系统和信息系统的通信和计算压力,提高整体系统的可靠性;同时本发明通过智能节电重叠网的计算与处理能力,实现电力系统和信息系统的联合调度运行,充分发挥计算负 荷的高效快速灵活的调配能力,提高电力系统运行的经济性和可靠性。
1.本发明提出的重叠网可用于电力系统和信息系统这两个不同系统的感知、通信与交互;
2.本发明提出的智能节点可对电力系统和信息系统的运行状态参数进行实时提取和实时处理,通过重叠网承担计算和通信任务,从而降低电力系统和信息系统的计算和通信负担;
3.本发明可作为电力系统和信息系统联合调度的管控体系,保证联合调度运行的最优性,通过信息负荷的时空调度提高电力系统运行的经济性和可靠性。
本发明附加的方面和优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解,其中:
图1为本发明实施例的系统结构示意图。
图2为本发明实施例的智能节点的结构示意图。
具体实施方式
下面详细描述本发明的实施例,实施例的示例在附图中示出,其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的,旨在用于解释本发明,而不能理解为对本发明的限制。
本发明提出一种基于智能节点重叠网的电力系统和信息系统联合调度系统,下面结合附图和具体实施例对本发明进一步详细说明如下。
本发明提出一种基于智能节点重叠网的电力系统和信息系统联合调度系统,整体结构如图1所示,包括N个相互连接的智能节点,N=N G+N E,其中N G为电力系统中能量调度单元的个数,N E为信息系统中计算负荷调度单元的个数,每一个智能节点都与其他智能节点相互连接;
其中每个智能节点,结构如图2所示,包括:智能节点交互端口、电力系统交互端口、信息系统交互端口;所述智能节点交互端口和其它每个智能节点的智能节点交互端口通过光纤传输线相连,用于发送本智能节点的电力系统和信息系统本地最优联合调度控制策略并接收其他智能节点的电力系统和信息系统本地最优联合调度控制策略,实现各个智能节点间的电力系统和信息系统本地最优联合调度控制策略的相互传输;所述电力系统交互端口与电力系统中所有数据采集与监视控制模块(Supervisory Control And Data Acquisition,SCADA)、同步相量测量装置(Phasor Measurement Unit,PMU)通过光纤传输线分别相连,用于从电力系统获取电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力 负荷的用电曲线信息;同时电力系统交互端口也与电力系统中所有电力系统能量调度单元相连,用于向每一个电力系统能量调度单元发送该智能节点求解得到的本地最优联合调度控制策略中该电力系统对应的发电调度控制策略;所述信息系统交互端口与信息系统中的所有信息管理系统通过光纤传输线分别相连,,不失一般性地,本发明中的信息系统是指由数据中心、数据中心之间相连的信息传输通道、计算负荷调度单元和信息管理系统组成的系统进行阐述,同时可根据数据中心的空间分布和联合调度者的实际需求将本实施例中的信息系统划分为多个信息子系统。信息系统交互端口用于从信息管理系统获取每个信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量;同时信息系统交互端口与每个信息系统计算负荷调度单元分别相连,用于向每个信息系统计算负荷调度单元发送该智能节点求解得到的本地最优联合调度控制策略中该信息系统对应的信息传输调度控制策略;
每个智能节点还包括:数据融合汇聚模块;所述数据融合汇聚模块分别与智能节点交互端口,电力系统交互端口和信息系统交互端口通过光纤传输线相连,用于从智能节点交互端口接收其他智能节点的本地最优联合调度控制策略,包括:所有发电机组的本地最优发电调度控制策略和所有数据中心的信息传输通道的信息传输调度控制策略,从电力系统交互端口接收从电力系统中的SCADA和PMU接收的电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息,从信息系统交互端口接收从信息系统中的信息管理系统接收的所有信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量信息;所述数据融合汇聚模块对从其他智能节点接收到的所有发电机组的本地最优发电调度控制策略和所有数据中心的信息传输通道的信息传输调度控制策略按照所属智能节点的顺序排列为矩阵形式,得到其他智能节点本地最优联合调度控制策略融合数据集;数据融合汇聚模块对接收到的电力系统中的SCADA和PMU测量装置接收的电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息按照每一台发电机组,每一个节点负荷和每一条线路的顺序进行排列,并在此基础上按照时序顺序排列为矩阵形式,得到电力系统融合参数集;数据融合汇聚模块对接收到的信息系统中的所有信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量信息按照每一个数据中心,每一条信息传输通道的顺序进行排列,并在此基础上按照时序顺序排列为矩阵形式,得到信息系统融合参数集;数据融合汇聚模块将其他智能节点本地最优联合调度控制策略融合数据集、电力系统融合参数集和信息系统融合参数集发送给数据存储模块。
数据存储模块,所述数据存储模块与数据融合汇聚模块通过光纤传输线相连,用于接收数据融合汇聚模块发送的全局智能节点本地最优联合调度控制策略融合参数集、电力系统融合参数集和信息系统融合参数集并存储;
数据处理模块,所述数据处理模块分别与数据存储模块、智能节点交互端口、电力系统交互端口和信息系统交互端口通过光纤传输线相连。数据处理模块用于接收数据存储模块发送的电力系统融合参数集、信息系统融合参数集和全局智能节点本地最优联合调度控制策略融合参数集;数据处理模块内置有电力系统和信息系统的联合调度模型,该调度模型可根据实际需求由用户自行确定,例如调度算法可根据用户选择把电力消耗最低作为目标函数,也可把电力系统和信息系统联合调度的总成本最低作为目标函数等等;数据处理模块将接收到的电力系统融合参数集和信息系统融合参数集作为调度算法的边界条件,通过分布式优化求解得到电力系统中各台发电机的发电调度控制策略和信息系统中各条传输通道的信息传输调度控制策略,作为该智能节点得到的电力系统和信息系统本地最优联合调度控制策略。为了防止数据传输时延、传输错误等问题,数据处理模块同时也将接收到的全局智能节点本地最优联合调度控制策略融合参数集中其他智能节点的联合调度本地最优调度控制策略与本智能节点得到的本地最优联合调度控制策略进行比较,若本节点本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略不一致,则重新从数据存储模块获取最新的电力系统融合参数集和信息系统融合参数集,继续利用内置的优化算法计算本智能节点的本地最优联合调度控制策略,直至与其他智能节点的本地最优联合调度控制策略一致。在与其他智能节点的本地最优联合调度控制策略一致后,数据处理模块将本智能节点的本地最优联合调度控制策略通过智能节点交互端口发送给其他智能节点,将本智能节点的本地最优联合调度控制策略中各台发电机组的发电调度控制策略通过电力系统交互端口发送给对应的电力系统能量调度单元,将本智能节点的本地最优联合调度控制策略中各个信息传输通道的信息传输调度控制策略通过信息系统交互端口发送给对应的信息系统计算负荷调度单元。
本发明中,每个智能节点各自生成整个电力系统的本地最优联合调度控制策略,但是为了防止时延等问题,每个智能节点都需计算本地最优联合调度控制策略,然后相互比对。
本发明系统工作原理如下:
本发明中重叠网的功能是电力系统和信息系统信息的实时提取、交互和处理。本发明系统的功能通过以下步骤实现:
(1)每一个智能节点都通过该节点的智能节点交互端口利用XML语言与其他所有智能节点交互通信,用于从智能节点交互端口接收其他智能节点得到的电力系统和信息系统本地最优联合调度控制策略。同时,每一个智能节点都通过该节点的电力系统交互端口利用61850通信协议与电力系统中所有的SCADA、PMU进行通信,用于从电力系统获取电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息。每一个智能节点都通过该节点的信息系统交互端口利用互联网技术与信息系统中所有的信息管理模块进行通信,用于从信息系统获取每个信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量;智能节点交互端口将采集到所有信息发送给数据融合汇聚模块;
其中,所述电力系统和信息系统本地最优联合调度控制策略包括:所有发电机组的本地最优发电调度控制策略和所有数据中心的信息传输通道的本地最优信息传输调度控制策略。
(2)数据融合汇聚模块按照每一台发电机组,每一个节点负荷和每一条线路的顺序对接收到的电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息进行排列,并在此基础上按照时序顺序排列为矩阵形式,得到电力系统融合参数集;数据融合汇聚模块按照每一个数据中心,每一条信息传输通道的顺序对接收到的信息系统中的所有信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量信息进行排列,并在此基础上按照时序顺序排列为矩阵形式,得到信息系统融合参数集;数据融合汇聚模块按照所属智能节点的顺序从其他智能节点接收到的所有发电机组的本地最优发电调度控制策略和所有数据中心的信息传输通道的信息传输调度控制策略排列为矩阵形式,得到其他智能节点本地最优联合调度控制策略融合数据集,并将电力系统融合参数集、信息系统融合参数集和其他智能节点本地最优联合调度控制策略融合数据集发送给数据存储模块;
(3)数据存储模块保存接收到的电力系统融合参数集、信息系统融合参数集和其他智能节点本地最优联合调度控制策略融合数据集,然后将电力系统融合参数集、信息系统融合参数集和其他智能节点本地最优联合调度控制策略融合数据集发送给数据处理模块。
(4)数据处理模块接收数据存储模块传输的电力系统融合参数集、信息系统融合参数集和其他智能节点本地最优联合调度控制策略融合数据集,并将电力系统融合参数集和信息系统融合参数集作为电力系统和信息系统的联合调度优化模型的输入条件,其中优化模型可根据实际需求由用户指定。数据处理模块通过分布式优化求解得到电力系统中各台发电机的发电调度控制策略和信息系统中各条传输通道的信息传输调度控制策略,作为该智能节点的电力系统和信息系统本地最优联合调度控制策略。
(5)为了防止数据传输时延、传输错误等问题,数据处理模块将本智能节点的本地最优联合调度控制策略与接收到的其他智能节点本地最优调度控制策略融合数据集进行一致性判断:若本智能节点的本地最优联合调度控制策略与其他智能节点本地最优联合调度控制策略不一致,则数据处理模块重新读取电力系统融合参数集和信息系统融合参数集,继续利用内置的联合调度优化模型更新本智能节点本地最优联合调度控制策略,直至该智能节点的本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略一致;
(6)数据处理模块将求得的该智能节点的本地最优联合调度控制策略通过智能节点交互端口发送给其余智能节点,将该智能节点本地最优联合调度控制策略中各台发电机组的发电调度控制策略通过电力系统交互端口发送给电力系统中对应的电力系统能量调度单元,将该智能节点的本地最优联合调度控制策略中各个信息传输通道的信息传输调度控制策略通过信息系统交互端口发送给信息系统中对应的计算负荷调度单元,从而实现电力系统和信息系统的联合调度运行。
此外,术语“第一”、“第二”仅用于描述目的,而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此,限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中,“多个”的含义是至少两个,例如两个,三个等,除非另有明确具体的限定。
在本说明书的描述中,参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中,对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且,描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外,在不相互矛盾的情况下,本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
尽管上面已经示出和描述了本发明的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本发明的限制,本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (1)

  1. 一种基于智能节点重叠网的电力系统和信息系统联合调度系统,其特征在于,包括N个相互连接的智能节点,N=N G+N I,其中N G为电力系统中能量调度单元的个数,N I为信息系统中计算负荷调度单元的个数;其中每个智能节点,包括:智能节点交互端口、电力系统交互端口、信息系统交互端口;所述智能节点交互端口和其他每个智能节点的智能节点交互端口相连,用于发送本智能节点的电力系统和信息系统本地最优联合调度控制策略并接收其他智能节点的电力系统和信息系统本地最优联合调度控制策略;所述电力系统交互端口与电力系统中每个数据采集与监视控制模块SCADA和同步相量测量装置PMU分别相连,用于获取电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息;同时电力系统交互端口与所有电力系统能量调度单元相连,用于向每一个电力系统能量调度单元发送该智能节点的本地最优联合调度控制策略中该电力系统对应的发电调度控制策略;所述信息系统交互端口与信息系统中的每个信息管理系统分别相连,用于从信息管理系统获取每个信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量;同时信息系统交互端口与每个信息系统计算负荷调度单元分别相连,用于向每个信息系统计算负荷调度单元发送该智能节点的本地最优联合调度控制策略中该信息系统对应的信息负荷调度策略;
    所述每个智能节点还包括:数据融合汇聚模块;所述数据融合汇聚模块分别与智能节点交互端口、电力系统交互端口和信息系统交互端口相连,用于从智能节点交互端口接收其他智能节点的本地最优联合调度控制策略,进而生成全局智能节点本地最优联合调度控制策略融合数据集;从电力系统交互端口接收电力系统的网络拓扑信息、所有发电机组的发电成本与装机容量信息以及所有电力负荷的用电曲线信息,生成电力系统融合参数集;从信息系统交互端口接收所有信息传输通道的最大传输容量与传输成本、数据中心之间的连接关系以及计算任务的负荷量信息,生成信息系统融合参数集;
    数据存储模块,所述数据存储模块与数据融合汇聚模块相连,用于接收数据融合汇聚模块发送的全局智能节点本地最优联合调度控制策略融合参数集、电力系统融合参数集和信息系统融合参数集并存储;
    数据处理模块,所述数据处理模块分别与数据存储模块、智能节点交互端口、电力系统交互端口和信息系统交互端口通相连,用于接收数据存储模块发送的电力系统融合参数集、信息系统融合参数集和全局智能节点本地最优联合调度控制策略融合参数集;数据处理模块利用接收到的电力系统融合参数集和信息系统融合参数集,通过分布式优化求解得到电力系统中各台发电机的发电调度控制策略和信息系统中各条传输通道的信息传输调度控制策略 作为该智能节点得到的电力系统和信息系统本地最优联合调度控制策略;数据处理模块将接收到的全局智能节点本地最优联合调度控制策略融合参数集中其他智能节点的本地最优联合调度控制策略与本智能节点得到的本地最优联合调度控制策略进行比较:若本智能节点本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略不一致,则重新从数据存储模块获取电力系统融合参数集和信息系统融合参数集,更新本智能节点的本地最优联合调度控制策略,直至智能本节点的本地最优联合调度控制策略与其他智能节点的本地最优联合调度控制策略一致,然后数据处理模块将本节点的本地最优联合调度控制策略通过智能节点交互端口发送给其他智能节点,将本智能节点的本地最优联合调度控制策略中各台发电机组的发电调度控制策略通过电力系统交互端口发送给电力系统中的电力系统能量调度单元,将本智能节点的本地最优联合调度控制策略中各个信息传输通道的信息传输调度控制策略通过信息系统交互端口发送给信息系统中的计算负荷调度单元。
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