CN101256550B - Parallelization estimation system for complex electric network phase synchronization - Google Patents
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Abstract
The invention relates to a complicated power network Phase synchronization parallelization evaluation system in electric system number value emulation field. In the invention, a pretreatment mould reads static spirit and dynamic component data needed by electric system stable analysis, transfers format of a data-in and generates a parallelization calculation task scheduling result, outputs the transferred data and the parallelization calculation task scheduling result to a parallelization calculation emulation mould via computer net; the parallelization calculation emulation mould carries out a electric net topology feature statistics and a Phase synchronization stability analysis according to the task scheduling result of the pretreatment mould, and transfers the result to a parallelization output analysis mould; the parallelization output analysis mould carries out a phase synchronization feature prediction and generates a Phase synchronization control strategy for user long-distance monitoring and maintenance via computer net. The invention improves use efficiency of each software and hardware source by utilizing the topology analysis features of entire electric net.
Description
Technical field
The present invention relates to the system in a kind of electric system numerical simulation field, specifically is a kind of parallelization estimation system for complex electric network phase synchronization.
Background technology
Since the second half year in 2003, recurred several massive blackout accidents in the global range, caused the extensive concern that people analyze stability of power system.To form deep understanding in detail to the accident of having a power failure on a large scale, at first need to investigate the various statistical properties of electric power networks, and on this basis power outage is done further dynamic analysis.Current research for electrical network phase-locking stable problem mainly is divided into two classes: a class is to investigate the structure of electrical network part and the phase-locking stable problem of partial electric grid, and another kind of is in the analysis of the enterprising line phase stability of synchronization of statistical significance to the whole feature of expressing of whole electrical network.We can say, the research main flow that current electrical network phase-locking is stable be reductionism but not systematology.Modern power systems just towards high voltage, big unit, big electrical network is interconnected and aspect development such as the operation marketization, and has proposed challenge to online in real time even super real-time Numerical Simulation Analysis.And the fast development of microprocessing and computer network makes high-performance calculation become possibility in the Economic Application in electric system numerical simulation field.Under new computation schema, how to give full play to the computing power of existing various software and hardware computational resources on the network and carry out electrical network phase-locking parallelization assessment, be one and have much challenging applied research topic.
Find by prior art documents, people such as Zhang Pei are in " south electric network technical research " 2006, delivered " based on the online dynamic secure estimation of grid computing system " on the 2nd the 5th phase of volume, this article has been reported the real-time system dynamic secure estimation instrument based on the grid computing system of American Electric Power research institute exploitation, this instrument can allow the Operation of Electric Systems personnel predict and prevented the generation of problem before stability problem causes the cascade power outage, combine computing technique in this article, developed the interface module between dynamic secure estimation instrument and the energy management system, with commercialization transient stability simulated program ETMSP as simulation engine, carry out fault according to the pattern of main control computer-servo and distribute, and carry out data storage and dynamic exchange in conjunction with commercialization database software Oracle.The shortcoming of this system is that the simulation engine module is only carried out time-domain-simulation to accident on the one hand, and the complex electric network topological property is not carried out statistical study; The criticality accident collection directly reads from database on the other hand, carries out incident level fault according to Accident Number and distributes, and accident generation and parallelization tupe are too single, is unfavorable for application under computational resource isomery and dynamic changeable computing environment.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of parallelization estimation system for complex electric network phase synchronization has been proposed, make it carry out electrical network phase-locking parallelization assessment in conjunction with complex electric network topology statistical property, investigate the various statistical properties of whole electric power networks on the one hand, avoid only relying on the deficiency that the partial electric grid characteristic is carried out the phase-locking stability assessment; From profound, improved utilization ratio on the other hand to existing various software and hardware computational resources with electrical network phase-locking stability analysis module and network communication module seamless combination.
The present invention is achieved through the following technical solutions, the present invention includes: emulation module and parallelization output analysis module are calculated in pretreatment module, parallelization, wherein:
Pretreatment module reads power system stability from data source and analyzes required static trend and dynamic element data, to import data and make format conversion processing, produce parallelization calculation task scheduling result, and the data after will change and parallelization calculation task scheduling result are exported to parallelization calculating emulation module by computer network;
Parallelization calculating emulation module carries out power network topology statistics of features and phase-locking stability analysis according to the task scheduling result of pretreatment module, and analysis module is exported in result transmission to parallelization;
The result that parallelization output analysis module calculates emulation module according to parallelization carries out the prediction of phase-locking characteristic, and generates the phase-locking control strategy, by the computer network issue, carries out remote monitoring and maintenance for the user by computer network.
Described pretreatment module comprises: data input module, incident generation module, electrical network cluster module and calculating scheduler module, wherein:
Data input module is accepted power system stability and is analyzed required static trend and dynamic element data, carries out processing such as data check, data association, data modification, Data Format Transform, and its result is as the input of incident generation module;
Incident generation module produces incident according to the data that data input module provides according to operational modes such as random perturbation, calculated attack and artificial appointments;
Electrical network cluster module is carried out the cluster analysis of electrical network characteristic according to the output result of incident generation module, and the incident of the similar order of severity is put together, distinguishes the incident order of severity simultaneously, and the result of electrical network cluster module directly outputs to the calculating scheduler module;
Calculate scheduler module and carry out the calculation task Optimization Dispatching according to the electrical network cluster result and in conjunction with the network calculations resource situation, its scheduling result is transferred to parallelization by computer network and calculates emulation module.
Emulation module is calculated in described parallelization, comprise plurality of sub calculating emulation module, son calculates between the emulation module and connects by computer network, each son calculates emulation module obtains pretreatment module by computer network task scheduling result, when calculation task adopts the fine-grained data level to decompose, each son calculating emulation module carries out parallelization according to partition data finds the solution, and son calculates between the emulation module and realizes handing-over by stages data communication by computer network; When calculation task adopted the coarseness functional level to decompose, each son calculating emulation module directly carries out parallelization according to function found the solution, and son calculates between the emulation module does not need to carry out information interaction.
Described son calculates emulation module, includes: power network topology statistics of features module, phase-locking stability analysis module, wherein:
Power network topology statistical property module obtains parallelization task scheduling result by computer network, the basic statistics geometric sense of power network topology correspondence is calculated in parallelization, as the scale distribution of the correlativity of degree and distribution character, degree, gathereding degree and distribution characteristics thereof, shortest path and distribution characteristics thereof, Jie's number and distribution characteristics thereof, connected set etc., and the basic statistics geometric sense is transferred to parallelization output analysis module;
Phase-locking stability analysis module is according to static trend and dynamic element data and calculation task that computer network provided, by time-domain-simulation analysis to the disturbed running orbit of grid generation unit, obtain motor phase curve over time, and be transferred to parallelization output analysis module.
Described parallelization output analysis module, comprise plurality of sub output analysis module, connect by computer network between the son output analysis module, each son output analysis module obtains the result of calculation that emulation module is calculated in parallelization by computer network, when calculation task adopts the fine-grained data level to decompose, each son output analysis module carries out parallelization output according to partition data to be analyzed, and realizes handing-over by stages data communication by computer network between each son output analysis module; When calculation task adopted the coarseness functional level to decompose, each son output analysis module directly carries out parallelization output according to function to be analyzed, and does not need to carry out information interaction substantially between each son output analysis module.
Described son output analysis module includes: phase-locking characteristic prediction module, electrical network phase-locking control module, wherein:
Phase-locking characteristic prediction module is calculated the time domain numerical simulation curve of emulation module according to parallelization, and in conjunction with the phase stability index of transient energy function and artificial intelligence technology prediction generator, and according to critical excision constantly energy calculate indexs such as transient state energy nargin and electrical network transmission capacity limits;
The phase stability index that electrical network phase-locking control module produces according to phase-locking characteristic prediction module, in conjunction with the power network topology statistics, formulate prevention or emergency control policy, determine the concrete moment and the controlled quentity controlled variable of cutter, cutting load or generator porthole quick closing valve.
Emulation module is calculated in described parallelization, parallelization output analysis module all is in the distributed environment, between the submodule between the submodule in the parallelization calculating emulation module, in the parallelization output analysis module, and parallelization is calculated between emulation module and the parallelization output analysis module, all interconnected by LAN (Local Area Network) or wide area network, and follow the uniform communication agreement, can intercom mutually and exchange message.
When the present invention works, at first start the data input module in the pretreatment module, read computational data and handle from each data source, incident generation module is according to random perturbation, calculated attack and the artificial isotype of specifying produce incident, after electrical network cluster module is pressed the cluster analysis of the incident order of severity, input is calculated scheduler module and is carried out the parallelization task scheduling in conjunction with the computational resource situation, its task scheduling is the result transmit by computer network, calculate in the emulation module each son by parallelization then and calculate emulation module scheduling result of executing the task, carry out power network topology statistics and phase-locking stability analysis respectively, it calculates simulation result and is directly inputted to parallelization output analysis module, calculate the phase stability index according to calculating simulation result by phase-locking characteristic prediction module in each son output analysis module in the parallelization output analysis module, start electrical network phase-locking control module at last, phase stability index according to the generation of phase-locking characteristic prediction module, and in conjunction with the power network topology statistics, formulate prevention or emergency control policy, its result in time issues by computer network.
Compared with prior art, the present invention includes following beneficial effect:
1, to the simulation and the emulation of complicated polymorphic type event of failure.By to random perturbation, calculated attack with manually specify the combination of three kinds of patterns, can realize simulation and emulation to complicated polymorphic type event of failure;
2, carry out the calculation task Optimization Dispatching according to power network topology, event of failure characteristics and computational resource situation.But computational resource situation on different power network topology agglomeration, event of failure type and the network, its calculation task scheduling strategy should be differentiated.By employing, can determine to carry out decomposition of calculation task fine-grained data level or the decomposition of coarseness functional level according to different power network topologies, event of failure characteristics and computational resource situation to system of the present invention;
3, express-analysis, prediction and control.All adopt parallelization to find the solution to electrical network phase-locking specificity analysis, prediction and control, can make full use of the network calculations resource, further improve complex electric network phase-locking stability assessment speed and efficient;
4, the present invention analyzes electrical network phase-locking stability problem in conjunction with the complex network topologies statistical property by the parallelization solution strategies, taken into full account the topological statistical property of whole electrical network, and, improved service efficiency greatly to existing various software and hardware computational resources from profound with electrical network phase-locking stability analysis module and network communication module seamless combination;
5, this invention system not only is fit to be applied to the high-performance computing environment of software and hardware computational resource isomorphism, also is particularly suitable for application on computational resource isomery and dynamic changeable various middle and small scale computing node environment.
Description of drawings
Fig. 1 is a system architecture diagram in the embodiments of the invention.
Embodiment
Below in conjunction with accompanying drawing embodiments of the invention are elaborated: present embodiment is being to implement under the prerequisite with the technical solution of the present invention, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, present embodiment comprises: emulation module 18, parallelization output analysis module 19 are calculated in pretreatment module 1, parallelization, parallelization is calculated emulation module 18 and comprised that two sons calculate emulation module: first calculates emulation module 6 and second calculates emulation module 12, parallelization output analysis module 19 comprises two son output analysis modules: the first output analysis module 9 and the second output analysis module 15, wherein:
Pretreatment module 1 reads power system stability from data source and analyzes required static trend and dynamic element data, to import data and make format conversion processing, produce parallelization calculation task scheduling result, and the data after will change and parallelization calculation task scheduling result are exported to parallelization calculating emulation module 18 by computer network;
Parallelization calculating emulation module 18 carries out power network topology statistics of features and phase-locking stability analysis according to the task scheduling result of pretreatment module 1, and result transmission is to parallelization output analysis module 19;
The result that parallelization output analysis module 19 calculates emulation module 18 according to parallelization carries out the prediction of phase-locking characteristic, and generates the phase-locking control strategy, by the computer network issue, carries out remote monitoring and maintenance for the user by computer network.
Described pretreatment module 1 comprises: data input module 2, incident generation module 3, electrical network cluster module 4 and calculating scheduler module 5, wherein:
Electrical network cluster module 4 is carried out the cluster analysis of electrical network characteristic according to the output result of incident generation module 3, and the incident of the similar order of severity is put together, distinguishes the incident of the different orders of severity simultaneously, and its result directly outputs to and calculates scheduler module 5;
Calculate scheduler module 5 and carry out the calculation task Optimization Dispatching according to the cluster result of electrical network cluster module 4 and in conjunction with the network calculations resource situation, its scheduling result is transmitted by computer network.
Described first calculates emulation module 6, second calculates emulation module 12 all from computer network acquisition parallelization calculation task, carry out power network topology statistics of features and phase-locking stability analysis, extract the required data message of phase-locking characteristic prediction algorithm, and the result is delivered to respectively in the first output analysis module 9 and the second output analysis module 15.
Described first calculates emulation module 6, comprising: the first power network topology statistics of features module 7, the first phase-locking stability analysis module 8, wherein:
The first power network topology statistics of features module 7 obtains electric network data and sub-calculation task by computer network, the basic statistics geometric sense of power network topology correspondence is calculated in parallelization, as degree and distribution character, correlativity, gathereding degree and distribution characteristics thereof, shortest path and distribution characteristics thereof, Jie's number and the distribution characteristics thereof of degree, the scale distribution of connected set etc., for the first output analysis module 9 provides power network topology statistical property reference data;
Electric network data and sub-calculation task that the first phase-locking stability analysis module 8 provides according to computer network, by time-domain-simulation analysis to the disturbed movement locus of grid generation unit, obtain motor phase curve over time, the foundation that its result of calculation is carried out prediction of phase-locking characteristic and control as the second output analysis module 9.
Described second calculates emulation module 12, comprise: the second power network topology statistics of features module 13, the second phase-locking stability analysis module 14, its information processing, transmission relation are identical with the first first power network topology statistics of features module 7, the first phase-locking stability analysis module of calculating in the emulation module 68.
The described first output analysis module 9 and the second output analysis module 15 calculate power network topology statistics of features result and the time-domain-simulation curve that emulation module 6, second calculates emulation module 12 according to first respectively, carry out the prediction and the control of electrical network phase-locking characteristic, its output is the result in time issue by computer network.
The described first output analysis module 9 comprises: the first phase-locking characteristic prediction module 10, the first electrical network phase-locking control module 11, wherein:
The first phase-locking characteristic prediction module 10 is according to the time domain numerical simulation curve of the first calculating emulation module 6, and in conjunction with the phase stability of transient energy function and artificial intelligence technology prediction generator, and according to critical excision moment energy calculating transient state energy nargin and electrical network transmission capacity limits, its output can in time be issued by computer network, provides input for the first electrical network phase control module 11 simultaneously;
The stability indicator that the first electrical network phase-locking control module 11 produces according to the first phase-locking characteristic prediction module 10, and in conjunction with the power network topology statistics of the first power network topology statistics of features module 7, formulate prevention or emergency control policy, determine the concrete moment and the controlled quentity controlled variable of cutter, cutting load or generator porthole quick closing valve, its output is in time issued by computer network.
The described second output analysis module 15, comprise: the second phase-locking characteristic prediction module 16, the second electrical network phase-locking control module 17, its information processing, transmission relation are identical with the first phase-locking characteristic prediction module 10, the first electrical network phase-locking control module 11 in the first output analysis module 15.
Present embodiment is disposed 3 computing nodes under LAN environment, wherein 1 PC is a dual core processor, and other two PC are single core processor.Operating system adopts Windows XP, and the parallel communications agreement is supported message passing interface MPI and based on the ICP/IP protocol of Java Virtual Machine.The parallelization computing module is served as after the programming expansion by electric system electromechanical transient analysis software PSS/E.Research object is IEEE 50 machines 145 node standard power systems.
At first read computational data, carry out processing such as data check and format conversion at data input module 2 from data source.Incident generation module 3 produces a collection of fault test sample at random, and fault type is the bus three-phase shortcircuit.Electrical network cluster module 4 is put the incident of the similar order of severity together, and its result calculates the task scheduling reference of emulation module 18 as parallelization.The computing power of considering computing node 1 is stronger, and in conjunction with electrical network cluster module 4 results, with the mode Distribution Calculation task of three computing nodes according to 2: 1: 1.Owing to can't obtain the program's source code of PSS/E, according to the coarseness functional level calculation task is carried out coarse grain parallelism and divide and separate so calculate scheduler module 5, its result is transferred to parallelization by computer network and calculates emulation module 18.Because computational resource is made up of three computing nodes at present, therefore parallelization is calculated emulation module 18 and can be expanded to three son calculating emulation modules, each son calculating emulation module basis distribution calculation task is separately carried out power network topology statistics of features and phase-locking stability analysis, and its result outputs to parallelization output analysis module 19.Parallelization output analysis module also can expand to three output analysis modules, and event of failure is carried out the prediction of phase-locking characteristic, and the unstability unit is proposed certain prevention and emergency control policy.Its result in time issues by computer network.
In order to verify the parallelization effect of system of the present invention, under MPI communication protocol and ICP/IP protocol, test respectively based on Java, and provided different participation computing node numbers under the MPI environment and based on the contrast of the phase-locking simulation time under the tcp/ip communication environment of Java (seeing Table 1), wherein result of calculation is not taken into account the initialization of system and the time that program stops thereof.Show that by contrast adopt the system of present embodiment, the computational resource that can make full use of on the network improves computing velocity and efficient to simulation time.Owing to hardware systems and software module are not all had strict restriction,, are more suitable for application under computational resource high isomerism and dynamic changeable various middle and small scale computing node environment so this system is applicable to the high-performance computing environment of computational resource isomorphism.
Phase-locking parallelization simulation time contrast under the table 1 different communication environment (chronomere is second)
Claims (7)
1. a parallelization estimation system for complex electric network phase synchronization is characterized in that, comprising: emulation module and parallelization output analysis module are calculated in pretreatment module, parallelization, wherein:
Pretreatment module reads power system stability from data source and analyzes required static trend and dynamic element data, to import data and make format conversion processing, produce parallelization calculation task scheduling result, and the data after will change and parallelization calculation task scheduling result are exported to parallelization calculating emulation module by computer network;
Parallelization calculating emulation module carries out power network topology statistics of features and phase-locking stability analysis according to the task scheduling result of pretreatment module, and analysis module is exported in result transmission to parallelization;
The result that parallelization output analysis module calculates emulation module according to parallelization carries out the prediction of phase-locking characteristic, and generates the phase-locking control strategy, by the computer network issue, carries out remote monitoring and maintenance for the user by computer network.
2. parallelization estimation system for complex electric network phase synchronization according to claim 1 is characterized in that, described pretreatment module comprises: data input module, incident generation module, electrical network cluster module and calculating scheduler module, wherein:
Data input module is accepted power system stability and is analyzed required static trend and dynamic element data, carries out data check, data association, data modification, Data Format Transform processing, and its result is as the input of incident generation module;
The data that incident generation module provides according to data input module are according to random perturbation, calculated attack and manually specify operational mode to produce incident;
Electrical network cluster module is carried out the cluster analysis of electrical network characteristic according to the output result of incident generation module, and the incident of the similar order of severity is put together, distinguishes the incident order of severity simultaneously, and the result of electrical network cluster module directly outputs to the calculating scheduler module;
Calculate scheduler module and carry out the calculation task Optimization Dispatching according to the electrical network cluster result and in conjunction with the network calculations resource situation, its scheduling result is transferred to parallelization by computer network and calculates emulation module.
3. parallelization estimation system for complex electric network phase synchronization according to claim 1, it is characterized in that, emulation module is calculated in described parallelization, comprise plurality of sub calculating emulation module, son calculates between the emulation module and connects by computer network, each son calculates emulation module obtains pretreatment module by computer network task scheduling result, when calculation task adopts the fine-grained data level to decompose, each son calculating emulation module carries out parallelization according to partition data finds the solution, and son calculates between the emulation module and realizes handing-over by stages data communication by computer network; When calculation task adopted the coarseness functional level to decompose, each son calculating emulation module directly carries out parallelization according to function found the solution, and son calculates between the emulation module does not have information interaction.
4. parallelization estimation system for complex electric network phase synchronization according to claim 3 is characterized in that, described son calculates emulation module, comprising: power network topology statistics of features module, phase-locking stability analysis module, wherein:
Power network topology statistics of features module obtains parallelization task scheduling result by computer network, the basic statistics geometric sense of power network topology is calculated in parallelization, the basic statistics geometric sense comprises: the scale of the correlativity of degree and distribution character, degree, gathereding degree and distribution characteristics thereof, shortest path and distribution characteristics thereof, Jie's number and distribution characteristics thereof, connected set distributes, and the basic statistics geometric sense is transferred to parallelization output analysis module;
Phase-locking stability analysis module is according to static trend and dynamic element data and task scheduling result that computer network provided, by time-domain-simulation analysis to the disturbed running orbit of grid generation unit, obtain motor phase curve over time, and be transferred to parallelization output analysis module.
5. parallelization estimation system for complex electric network phase synchronization according to claim 1, it is characterized in that, described parallelization output analysis module, comprise plurality of sub output analysis module, connect by computer network between the son output analysis module, each son output analysis module obtains the result of calculation that emulation module is calculated in parallelization by computer network, when calculation task adopts the fine-grained data level to decompose, each son output analysis module carries out parallelization output according to partition data to be analyzed, and realizes handing-over by stages data communication by computer network between each son output analysis module; When calculation task adopted the coarseness functional level to decompose, each son output analysis module directly carries out parallelization output according to function to be analyzed, and does not have information interaction between the son output analysis module.
6. parallelization estimation system for complex electric network phase synchronization according to claim 5 is characterized in that, described son output analysis module comprises: phase-locking characteristic prediction module, electrical network phase-locking control module, wherein:
Phase-locking characteristic prediction module is calculated the time domain numerical simulation curve of emulation module according to parallelization, and in conjunction with the phase stability index of transient energy function and artificial intelligence technology prediction generator, and according to critical excision constantly energy calculate transient state energy nargin and electrical network transmission capacity limits index;
The phase stability index that electrical network phase-locking control module produces according to phase-locking characteristic prediction module, in conjunction with the power network topology statistics, formulate prevention or emergency control policy, determine the concrete moment and the controlled quentity controlled variable of cutter, cutting load or generator porthole quick closing valve.
7. parallelization estimation system for complex electric network phase synchronization according to claim 1, it is characterized in that, emulation module is calculated in described parallelization, parallelization output analysis module all is in the distributed environment, between the submodule between the submodule in the parallelization calculating emulation module, in the parallelization output analysis module, and parallelization is calculated between emulation module and the parallelization output analysis module, all interconnected by LAN (Local Area Network) or wide area network, and follow the uniform communication agreement.
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| CN101477168B (en) * | 2009-01-08 | 2010-12-01 | 上海交通大学 | Parallelization test system and method for transient stability of electric power system |
| CN101944766B (en) * | 2010-06-01 | 2012-09-05 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN102156783B (en) * | 2011-04-15 | 2012-12-12 | 华北电力大学 | Comprehensive assessment method for simulation accuracy of electrical power system |
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| CN104156769A (en) * | 2013-05-31 | 2014-11-19 | 贵州电网公司电力调度控制中心 | Electric power system vulnerability assessment method |
| DE102014219709A1 (en) * | 2014-09-29 | 2016-03-31 | Siemens Aktiengesellschaft | Method for power plant simulation for testing and training purposes by means of a distributed simulation hardware |
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| CN106356846B (en) * | 2016-10-18 | 2019-02-19 | 国网山东省电力公司烟台供电公司 | A kind of time-based initial stage power grid cascading fault simulation emulation mode |
| CN116542079B (en) * | 2023-07-07 | 2023-09-12 | 中国电力科学研究院有限公司 | Microsecond-level full-electromagnetic transient real-time simulation linear extensible method and device |
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