CN108280775B - Layered distribution hybrid computing architecture system and method of power information physical system - Google Patents

Layered distribution hybrid computing architecture system and method of power information physical system Download PDF

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CN108280775B
CN108280775B CN201711406299.0A CN201711406299A CN108280775B CN 108280775 B CN108280775 B CN 108280775B CN 201711406299 A CN201711406299 A CN 201711406299A CN 108280775 B CN108280775 B CN 108280775B
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薛禹胜
李满礼
倪明
李悦岑
童和钦
赵丽莉
杨毅
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State Grid Corp of China SGCC
NARI Group Corp
Nari Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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NARI Group Corp
Nari Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a layered distribution hybrid computing architecture system of a power information physical system, which comprises three independent subsystems, wherein the subsystems are a communication layer hybrid computing system, a secondary equipment layer hybrid computing system and an information physical system hybrid computing system, and each subsystem supports the analysis and the processing of different characteristics of a model of the layer; all subsystems are communicated with each other through a data interaction interface; aiming at the problems of multi-time scale, multi-management main body, data interaction safety and model complexity of the power information physical system, a hierarchically distributed calculation algorithm system and a model simplification method are provided, a model and algorithm on-demand response mechanism is established, reasonable simplification, rapid calculation and accurate analysis of the complex power information physical system model are realized, and good data safety and expandability are realized.

Description

Layered distribution hybrid computing architecture system and method of power information physical system
Technical Field
The invention belongs to the field of power information physical coupling systems, and particularly relates to a hierarchical distribution hybrid computing architecture system and a method of a power information physical system.
Background
With the rapid development of computing technology, communication technology and intelligent control technology, once the information physical coupling system (CPS) is proposed, it draws extensive attention to academia and industry and keeps developing rapidly. The development of intelligent power grid construction is continuous, the number of power grid sensors, the scale of an information network and the number of decision units are rapidly increased, and the automation degree of a power system is greatly improved. In addition, the popularization of the energy internet enables more and more external information to directly or indirectly influence the control decision of the power system through various service approaches, and the interaction mechanism of the power network and the information network is increasingly complex. Modern power systems have been developed into power information physical systems (power CPS) with various CPS typical characteristics, however, in the prior art, a layered distribution hybrid computing system of the power information physical system is lacking, and the power CPS cannot be modeled and hybrid computed by adopting CPS technical means. The existing research aiming at modeling and hybrid computing of the electric power CPS is just started, modeling and computing are mostly carried out aiming at specific electric power services, a specific theory and method system is not formed, and the method has great limitation.
Disclosure of Invention
The technical problem solved by the invention is that: the existing research aiming at modeling and hybrid computing of the electric power CPS is just started, modeling and computing are mostly carried out aiming at specific electric power services, a specific theory and method system is not formed, and the method has great limitation.
The invention discloses a hierarchical distribution hybrid computing architecture system and a hierarchical distribution hybrid computing architecture method for a power information physical system, which support analysis, computation and control of the power information physical system.
The technical scheme of the invention is as follows.
A hierarchical distribution hybrid computing architecture system of a power information physical system divides the power information physical system into a physical layer, a secondary equipment layer, a communication layer and an information layer (control decision layer), wherein the in-layer network adopts an adjacent matrix to establish a model of each layer of network, the in-layer nodes adopt a multi-tuple mode to establish a model of key characteristics, and the layers adopt an incidence matrix to establish an incidence relation model among the layers;
and data interaction is carried out among the physical layer, the secondary equipment layer, the communication layer and the information layer of the power information physical system in a service demand-service response mode.
The electric power information physical system hybrid computing architecture system comprises three independent subsystems, wherein the subsystems are a communication layer hybrid computing system, a secondary equipment layer hybrid computing system and an information physical system hybrid computing system, and each subsystem supports analysis and processing of different characteristics of a model of the layer; and the subsystems are communicated with each other through a data interaction interface.
The communication layer hybrid computing system comprises a communication network model, a communication network hybrid computing algorithm and a communication layer data interaction module;
(101) the communication network model is a communication network adjacent matrix formed according to real-time data or historical data or simulation data of the communication network; the communication network model establishes communication networks with different granularities according to different communication performance indexes of the communication networks, and comprises a communication real-time delay matrix, a communication network average delay matrix and a communication reliability matrix;
(102) the hybrid calculation algorithm of the communication network comprises the steps of supporting the analysis, optimization and control of the communication network, and supporting the analysis, optimization and control of other layers of the electric power CPS;
(103) the communication layer data interaction module is used for supporting data and algorithm control of data interaction with other layers.
The secondary equipment layer hybrid computing system comprises a secondary equipment layer network model, a secondary equipment layer hybrid computing algorithm and a secondary equipment layer data interaction module;
(201) the secondary equipment layer network model is a secondary equipment layer adjacency matrix formed according to real-time data, historical data or simulation data of a secondary equipment layer network; the secondary equipment layer network model establishes different granularities according to different communication performance indexes of the communication network;
the secondary equipment layer network model comprises a secondary equipment layer delay matrix model, a secondary equipment layer information processing matrix model and a secondary equipment reliability matrix;
(202) the secondary equipment layer hybrid calculation algorithm comprises the analysis, optimization and control of a secondary equipment network, and the analysis, optimization and control of other layers of the supporting power CPS;
(203) and the secondary equipment layer data interaction module is used for supporting data and algorithm control for data interaction with other computing systems.
The mixed computing system of the cyber-physical system comprises: the system comprises a power network model, an information layer network model, an information physical hybrid calculation algorithm and an information physical system data interaction module;
(301) the power network model and the information layer network model are formed according to real-time data, historical data or simulation data of the power network and the control decision unit. The power network model is based on static, electromechanical transient and electromagnetic transient models of the traditional power grid. The information network model is a control model established according to the control logic of the power decision unit.
(302) The cyber-physical hybrid computing algorithm is used for analyzing the interactive influence relationship between the information layer and the physical layer and supporting the analysis, optimization and control of the power cyber-physical system.
(303) And the data interaction module of the information physical system is used for supporting data and algorithm control for data interaction with other computing systems.
According to the layered model of the power information physical system, data interaction is carried out in a service demand-service response mode through an independent algorithm system of each layer, and a power information physical system hybrid computing architecture system (the layered distribution hybrid computing architecture system of the power information physical system) supporting layered distribution computing on-demand response of comprehensive analysis of the power information physical system is established.
A hierarchical distribution hybrid calculation method of a power information physical system comprises the following steps:
s1, according to the purpose of analysis and calculation of the power information physical system, the service demand layer selects a model of hybrid calculation and an algorithm of hybrid calculation from a model library and an algorithm library to execute hybrid calculation of the power information physical system; the service demand layer is any one of an information physical layer hybrid computing system, a secondary equipment layer hybrid computing system or a communication layer hybrid computing system; the algorithm library refers to an algorithm set used for processing the data of the current layer in each algorithm system, for example, the communication layer hybrid computation algorithm library comprises a communication real-time delay algorithm, a communication network average delay algorithm and a communication reliability algorithm;
and S2, the service demand layer issues the service demand through the data interaction interface according to other layer data support required by the hybrid calculation of the power information physical system, and maps the demand to the service providing layer for providing the data service through the incidence relation.
And S3, the service providing layer performs hybrid calculation and returns the calculation result to the service demand layer in a service response mode through the data interaction interface.
According to the purpose of analysis and calculation of the electric power information physical system, the electric power information physical system hybrid calculation, the secondary equipment layer hybrid calculation and the communication layer hybrid calculation are sequentially executed from top to bottom. The hybrid calculation of each layer is mainly realized by selecting a model of the hybrid calculation and an algorithm of the hybrid calculation according to the purpose of analysis calculation, performing the hybrid calculation according to the selected model and algorithm, possibly needing data support of other layers in the hybrid calculation process, issuing service requirements to other layers, responding the service requirements by the other layers and returning calculation results. If the secondary equipment layer needs to calculate the delay of strategy execution from a main station to a sub-station and needs the delay on a communication channel, the secondary equipment layer issues the calculated delay of the communication channel, responds to the service requirement of the secondary equipment layer, and feeds back the channel delay result to the secondary equipment layer.
Compared with the prior art, the invention has the following advantages:
1. the invention discloses a layered distribution hybrid computing architecture system of a power information physical system, which can support the analysis, calculation and control of the power information physical system.
2. The electric power information physical system is divided into a physical layer, a secondary equipment layer, a communication layer and an information layer (control decision layer), the electric power information physical system hybrid computing architecture system comprises three independent subsystems, and different layers of data are distributed, stored and processed, so that the problems of benefit conflict among multiple agents and data safety are solved;
3. data interaction is carried out among a physical layer, a secondary equipment layer, a communication layer and an information layer of the power information physical system in a service demand-service response mode; the sub-systems of the hybrid computing architecture system of the power information physical system are communicated with each other through a data interaction interface; the model and the calculation method which respond to different requirements of other layers as required overcome the problems of complex models and analysis with multiple time scales and different granularities of the power information physical system; aiming at the problems of multi-time scale, multi-management main body, data interaction safety and model complexity of the power information physical system, a hierarchically distributed calculation algorithm system and a model simplification method are provided, a model and algorithm on-demand response mechanism is established, reasonable simplification, rapid calculation and accurate analysis of the complex power information physical system model are realized, and good data safety and expandability are realized.
4. The model and the algorithm are established in a modular form, so that the method has better flexibility and expansibility, provides a good expansion interface for the analysis and calculation theory of the future electric power information physical system, and adapts to the future development.
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The invention is further explained below with reference to the figures and examples;
FIG. 1 is a block diagram of a hierarchical hybrid computing architecture for a power information physical system according to the present invention;
FIG. 2 is a flow chart of a method for calculating a hierarchical distribution mixture of a power information physical system according to the present invention;
fig. 3 is a security service communication topology diagram in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments, which are illustrative only and not limiting, and the scope of the present invention is not limited thereby.
In order to achieve the objectives and effects of the technical means, creation features, working procedures and using methods of the present invention, and to make the evaluation methods easy to understand, the present invention will be further described with reference to the following embodiments.
As shown in fig. 1, a hierarchical distribution hybrid computing architecture system of an electric power information physical system divides the electric power information physical system into a physical layer, a secondary device layer, a communication layer and an information layer (control decision layer), wherein the in-layer network adopts an adjacency matrix to establish a model of each layer of network, the in-layer nodes adopt a multi-tuple mode to establish a model of key characteristics, and the inter-layer adopts an incidence matrix to establish an incidence relation model between each layer;
and data interaction is carried out among the physical layer, the secondary equipment layer, the communication layer and the information layer of the power information physical system in a service demand-service response mode.
The electric power information physical system hybrid computing architecture system comprises three independent subsystems, wherein the subsystems are a communication layer hybrid computing system, a secondary equipment layer hybrid computing system and an information physical system hybrid computing system, and each subsystem supports analysis and processing of different characteristics of a model of the layer; and the subsystems are communicated with each other through a data interaction interface.
The communication layer hybrid computing system comprises a communication network model, a communication network hybrid computing algorithm and a communication layer data interaction module;
(101) the communication network model is a communication network adjacent matrix formed according to real-time data or historical data or simulation data of the communication network; the communication network model establishes communication networks with different granularities according to different communication performance indexes of the communication networks, and comprises a communication real-time delay matrix, a communication network average delay matrix and a communication reliability matrix;
(102) the hybrid calculation algorithm of the communication network comprises the steps of supporting the analysis, optimization and control of the communication network, and supporting the analysis, optimization and control of other layers of the electric power CPS;
(103) the communication layer data interaction module is used for supporting data and algorithm control of data interaction with other computing systems.
The secondary equipment layer hybrid computing system comprises a secondary equipment layer network model, a secondary equipment layer hybrid computing algorithm and a secondary equipment layer data interaction module;
(201) the secondary equipment layer network model is a secondary equipment layer adjacency matrix formed according to real-time data, historical data or simulation data of a secondary equipment layer network; the secondary equipment layer network model establishes different granularities according to different communication performance indexes of the communication network;
the secondary equipment layer network model comprises a secondary equipment layer delay matrix model, a secondary equipment layer information processing matrix model and a secondary equipment reliability matrix;
(202) the secondary equipment layer hybrid calculation algorithm comprises the analysis, optimization and control of the secondary equipment network, and the analysis, optimization and control of other layers (a physical layer, a communication layer and an information layer) of the supporting power CPS;
(203) and the secondary equipment layer data interaction module is used for supporting data and algorithm control for data interaction with other layers.
The mixed computing system of the cyber-physical system comprises: the system comprises a power network model, an information layer network model, an information physical hybrid calculation algorithm and an information physical system data interaction module;
(301) the power network model and the information layer network model are formed according to real-time data, historical data or simulation data of the power network and the control decision unit. The power network model is based on static, electromechanical transient and electromagnetic transient models of the traditional power grid. The information network model is a control model established according to the control logic of the power decision unit.
(302) The cyber-physical hybrid computing algorithm is used for analyzing the interactive influence relationship between the information layer and the physical layer and supporting the analysis, optimization and control of the power cyber-physical system.
(303) The data interaction module of the cyber-physical system is used for supporting data and algorithm control of data interaction with other layers (a secondary equipment layer, a communication layer and an information layer).
According to the layered model of the power information physical system, data interaction is carried out in a service demand-service response mode through an independent algorithm system of each layer, and a layered distribution hybrid computing architecture system of the power information physical system supporting comprehensive analysis of the power information physical system is established.
As shown in fig. 2, a method for calculating a hierarchical distribution mixture of an electric power information physical system includes the following steps:
s1, according to the purpose of analysis and calculation of the power information physical system, the service demand layer selects a model of hybrid calculation and an algorithm of hybrid calculation from a model library and an algorithm library to execute hybrid calculation of the power information physical system; the service demand layer is any one of an information physical layer hybrid computing system, a secondary equipment layer hybrid computing system or a communication layer hybrid computing system; the algorithm library refers to an algorithm set used for processing the data of the current layer in each algorithm system; if the communication layer hybrid computing algorithm library comprises a communication real-time delay algorithm, a communication network average delay algorithm and a communication reliability algorithm;
and S2, the service demand layer issues the service demand through the data interaction interface according to other layer data support required by the hybrid calculation of the power information physical system, and maps the demand to the service providing layer for providing the data service through the incidence relation. If the secondary device layer hybrid computing system needs the reliability of the communication channel corresponding to the communication network when performing secondary device layer network reliability analysis, the secondary device layer hybrid computing system calculates the reliability of the related communication channel according to the interactive interface incidence relation by initiating a service request for calculating the reliability of the related communication channel, and returns the calculated result to the secondary device layer hybrid computing system through a service response mode. In this process, the secondary device layer hybrid computing system is a service requirement layer, and the communication layer hybrid computing system is a service provision layer.
And S3, the service providing layer performs hybrid calculation and returns the calculation result to the service demand layer in a service response mode through the data interaction interface.
According to the purpose of analysis and calculation of the electric power information physical system, the electric power information physical system hybrid calculation, the secondary equipment layer hybrid calculation and the communication layer hybrid calculation are sequentially executed from top to bottom. The hybrid calculation of each layer is mainly realized by selecting a model of the hybrid calculation and an algorithm of the hybrid calculation according to the purpose of analysis calculation, performing the hybrid calculation according to the selected model and algorithm, possibly needing data support of other layers in the hybrid calculation process, issuing service requirements to other layers, responding the service requirements by the other layers and returning calculation results. If the secondary equipment layer needs to calculate the delay of strategy execution from a main station to a sub-station and needs the delay on a communication channel, the secondary equipment layer issues the calculated delay of the communication channel, responds to the service requirement of the secondary equipment layer, and feeds back the channel delay result to the secondary equipment layer.
A series of calculation algorithms in the hybrid calculation system respectively perform their own functions and coordinate to complete different analysis and calculation functions in the power grid information physical system. And various hybrid computing algorithms exist in a modular form, so that the hybrid computing algorithm has good expandability. Since the algorithms for hybrid computation are various, and need to be specifically analyzed in combination with specific analysis scenarios, it is impossible to make an explanation one by one.
As shown in fig. 3, the analysis requirement of the security service network is as follows: and analyzing the reliability between the secondary equipment S1 → S2, wherein the specific algorithm flow is as follows:
1) and according to the reliability analysis requirement of S1 → S2, selecting a secondary equipment layer model as a reliability model, namely a reliability incidence matrix, and selecting a reliability calculation algorithm by the algorithm. 2) And (4) analyzing and calculating the reliability of the secondary equipment, wherein a calculation program needs the support of communication layer data according to calculation logic. 3) The secondary device layer issues a reliability analysis service requirement. 4) The communication-secondary equipment interaction interface maps C7 and C8 communication nodes according to the S-C incidence matrix. 5) The communication layer selection communication path search algorithm searches for a communication path shown by a dotted line in the drawing of C7 → C8, and the communication selection reliability calculation algorithm calculates the communication reliability of C7 → C8. 6) The communication layer returns the communication reliability of C7 → C8 to the secondary device layer through the communication-secondary device interaction interface, and the secondary device layer reliability analysis algorithm calculates the reliability of S1 → S2 according to the returned communication reliability.
The specific calculation algorithm for reliability is as follows. First, assuming reliability parameters obtained from real-time/historical data of the communication network, the communication adjacency matrix C thereof is as follows:
Figure GDA0002976374590000101
due to static configuration of the safety control service route, the communication layer path search algorithm searches out that the main path is C7 → C2 → C3 → C8, and the standby path is C7 → C6 → C5 → C4 → C3 → C8.
Then, reliability analysis is carried out by a communication layer reliability analysis algorithm, and the process is as follows:
Pm=1-P7-2×P2×P2-3
Pb=1-P7-6×P6×P6-5×P5×P5-4×P4×P4-3
Pvp=Pm×Pb
Pvc=1-P7×P3×P3-8×P8
Pv=Pvc+Pvp-Pvc×Pvp=0.2355%
wherein, PmIs the probability of interruption of the main path only (C7 → C2 → C3), PbFor the probability of interruption of only the backup path (C7 → C6 → C5 → C4 → C3), PvThe probability of interruption of C7 → C8.
And then outputting the interruption probability analysis result to a secondary equipment layer through an interactive interface, and carrying out subsequent analysis on the secondary equipment layer.
Those skilled in the art can design the invention to be modified or varied without departing from the spirit and scope of the invention. Therefore, if such modifications and variations of the present invention fall within the technical scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (6)

1. A hierarchical distribution hybrid computing architecture system of a power information physical system is characterized in that: dividing a power information physical system into a physical layer, a secondary equipment layer, a communication layer and an information layer, wherein the in-layer network adopts an adjacency matrix to establish a model of each layer of network, the in-layer nodes adopt a multi-tuple mode to establish a model of key characteristics, and the layers adopt incidence matrixes to establish incidence relation models among the layers;
data interaction is carried out among a physical layer, a secondary equipment layer, a communication layer and an information layer of the power information physical system in a service demand-service response mode;
the electric power information physical system hybrid computing architecture system comprises three independent subsystems, wherein the subsystems are a communication layer hybrid computing system, a secondary equipment layer hybrid computing system and an information physical system hybrid computing system, and each subsystem analyzes and processes different characteristics of a model of the layer; and the subsystems are communicated with each other through a data interaction interface.
2. The system according to claim 1, wherein the system comprises:
the communication layer hybrid computing system comprises a communication network model, a communication network hybrid computing algorithm and a communication layer data interaction module;
(101) the communication network model is a communication network adjacent matrix formed according to real-time data or historical data or simulation data of the communication network; the communication network model establishes communication networks with different granularities according to different communication performance indexes of the communication networks, and comprises a communication real-time delay matrix, a communication network average delay matrix and a communication reliability matrix;
(102) the hybrid calculation algorithm of the communication network comprises the steps of supporting the analysis, optimization and control of the communication network, and supporting the analysis, optimization and control of other layers of the power information physical system;
(103) the communication layer data interaction module is used for supporting the data and algorithm control of data interaction between the communication layer hybrid computing system and other computing systems.
3. The system according to claim 1, wherein the system comprises:
the secondary equipment layer hybrid computing system comprises a secondary equipment layer network model, a secondary equipment layer hybrid computing algorithm and a secondary equipment layer data interaction module;
(201) the secondary equipment layer network model is a secondary equipment layer adjacency matrix formed according to real-time data, historical data or simulation data of a secondary equipment layer network; the secondary equipment layer network model establishes different granularities according to different communication performance indexes of the communication network;
the secondary equipment layer network model comprises a secondary equipment layer delay matrix model, a secondary equipment layer information processing matrix model and a secondary equipment reliability matrix;
(202) the secondary equipment layer hybrid calculation algorithm comprises the analysis, optimization and control of a secondary equipment network, and the analysis, optimization and control of other layers of the supporting power CPS;
(203) and the secondary equipment layer data interaction module is used for supporting data and algorithm control for data interaction with other computing systems.
4. The system according to claim 1, wherein the system comprises:
the mixed computing system of the cyber-physical system comprises: the system comprises a power network model, an information layer network model, an information physical hybrid calculation algorithm and an information physical system data interaction module;
(301) the power network model and the information layer network model are formed according to real-time data, historical data or simulation data of the power network and the control decision unit; the power network model is based on static, electromechanical transient and electromagnetic transient models of a traditional power grid; the information network model is a control model established according to the control logic of the power decision unit;
(302) the information physical hybrid computing algorithm is used for analyzing the interaction influence relationship between the information layer and the physical layer and supporting the analysis, optimization and control of the electric power information physical system;
(303) and the data interaction module of the information physical system is used for supporting data and algorithm control for data interaction with other computing systems.
5. The system according to claim 1, wherein the system comprises:
according to the layered model of the power information physical system, data interaction is carried out in a service demand-service response mode through an independent algorithm system of each layer, and a power information physical system hybrid computing architecture system supporting layered distribution computing on-demand response of power information physical system analysis is established.
6. A hierarchical distribution hybrid calculation method of a power information physical system is characterized by comprising the following steps:
s1, according to the purpose of analysis and calculation of the power information physical system, the service demand layer selects a model of hybrid calculation and an algorithm of hybrid calculation from a model library and an algorithm library to execute hybrid calculation of the power information physical system; the service demand layer is any one of an information physical layer hybrid computing system, a secondary equipment layer hybrid computing system or a communication layer hybrid computing system; the algorithm library refers to an algorithm set used for processing the data of the current layer in each computing system;
s2, the service demand layer distributes service demands through a data interaction interface according to other layer data support required by the hybrid calculation of the power information physical system, and maps the demands to a service providing layer providing data services through an incidence relation;
and S3, the service providing layer performs hybrid calculation and returns the calculation result to the service demand layer in a service response mode through the data interaction interface.
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