CN105515044A - Black-start assistant decision-making system based on DTS - Google Patents

Black-start assistant decision-making system based on DTS Download PDF

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Publication number
CN105515044A
CN105515044A CN201510971205.9A CN201510971205A CN105515044A CN 105515044 A CN105515044 A CN 105515044A CN 201510971205 A CN201510971205 A CN 201510971205A CN 105515044 A CN105515044 A CN 105515044A
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black
section
black starting
layer
power supply
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CN105515044B (en
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魏文辉
林昌年
陈捷
高峰
金逸
费益军
马强
杨选怀
王国平
韩佳兵
周书进
刘传良
慈文斌
史立勤
王全
秦科源
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State Grid Corp of China SGCC
State Grid Shandong Electric Power Co Ltd
State Grid Jiangsu Electric Power Co Ltd
Beijing Kedong Electric Power Control System Co Ltd
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State Grid Corp of China SGCC
State Grid Shandong Electric Power Co Ltd
State Grid Jiangsu Electric Power Co Ltd
Beijing Kedong Electric Power Control System Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00Adapting or protecting infrastructure or their operation
    • Y02A30/60Planning or developing urban green infrastructure

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application belongs to the computer calculation field of an electrical power system, and discloses a power grid black-start assistant decision-making system. The black-start assistant decision-making system includes three parts of a pattern platform, a database, and an algorithm analysis library. The pattern platform is formed by a picture browser of a smart power grid dispatching technical support system and a self-developed window. The database stores each element parameter in the electrical power system and analysis results, which is convenient for user modification and checkup. The algorithm analysis library includes a numerical analysis algorithm and an optimization algorithm used in a black-start process. The algorithm analysis library is a technology core of the whole system. The black-start assistant decision-making system based on the DTS is characterized in that the system adopts a modular hierarchical structure including a data layer, an application layer, an application support layer, an interface layer and a user layer. According to the invention, the black-start assistance decision-making system and the DTS based on a D5000 smart power grid dispatching technical support system are integrated together, share a real-time power grid database, a data communication platform, and power grid pictures.

Description

A kind of black start assistant decision making system based on DTS
Technical field
The application belongs to power system computation machine and calculates field, is power grid"black-start" decision-assistant software.
Background technology
Black starting-up refers to that electric power system is when system full cut-off, utilizes in system and has self-startup ability unit or the system external power progressively process normally run of recovery system.Start since nineteen sixties, lot of domestic and international experts and scholars are devoted to the Theories and methods reducing electric power accident probability of happening and scope, achieved significant achievement, and the problem how electric power system recovers after having an accident as early as possible and black starting-up problem are left in the basket relatively.Middle 1980s is started to the recovery research after the complete black accident of electric power system, two types can be divided into the recovery in dead electricity region: the recovery of part dead electricity system and the recovery of complete black system.There are numerous experts and scholars and work about electric power person furtheing investigate black starting-up relevant issues both at home and abroad at present, generally speaking mainly comprise the following aspects:
1) selection of black starting-up power supply
Black starting-up power supply has a very important role in whole black starting-up process.In general, the suitable unit as black starting-up power supply should possess following characteristics: 1. the start-stop time is short; 2. supply of electric power is not needed, can self-starting; 3. load rising or falling speed is fast, flexible operation; 4. reliability is high; 5. leading phase operation ability is strong, absorbs and sends idle ability by transmission line charging current, and self-excitation can not be caused to occur; 6. there is automatic and manual accurate synchronizer, automatic speed regulation, the grid-connected and manual accurate simultaneous interconnecting of automatic presynchronization can be realized; 7. manual governing, voltage regulation function can be realized; 8. the regulating power of good voltage and frequency.
Owing to meeting above-mentioned requirements preferably, usually select the hydraulic turbine as black starting-up power supply, but area that is deficient at some hydropower resources, that do not have condition construction hydroelectric station, other forms of black starting-up power supply can be selected.There is researcher to carry out black starting-up modeling and simulation to gas Combined circulator, fuel oil consump-tion respectively, its feasibility as black starting-up power supply is verified.The isolated island Starting mode of little unit Active Splitting, interregional interconnection power transmission are also conventional black starting-up power mode.The success rate that these two kinds of modes are recovered is relatively high, but the position occurred due to power failure range and isolated island is difficult to precognition, thus write black starting-up prediction scheme is difficult to, if but there is the ability of rapid development black-start scheme conditions being possessed and control centre, then should pay the utmost attention to isolated island and interconnection as startup power supply.When conditions permit, generation of electricity by new energy, DC transmission system also can be used as black starting-up power supply.
The optimum choice aspect of black starting-up power supply, Guangxi University Wu Jie health etc. proposes based on causality loss minimized black starting-up power supply preference pattern, establish with the minimum black starting-up Generation Expansion Planning Model for target of social loss of outage, in order to optimize installation site and the capacity of black starting-up power supply; Tsing-Hua University Liu Dong, Sun Yingyun etc. propose based on the maximized black starting-up power source planning of social benefit, the cost of major break down loss of outage value and scheme is made Integrated comparative, selects optimum black starting-up power supply; The Wang Chunyi of Shandong University, the people such as Liu Yutian consider black starting-up benefit and the static budget of hydroenergy storage station, in conjunction with the marginal operational position constraint of peak load shifting, establish hydroenergy storage station optimal reserve water computation model; The people such as the Zhang Jiquan in bright power plant, Foshan describe the design of power plant's black starting-up power supply, propose useful black starting-up power supply Choice and design principle; The people such as the Xu Jiannan of Wujiang, Jiangsu electric company propose using " user's emergency power supply black starting-up Services Composition " as black starting-up power supply, provide the new approaches of electric energy for being activated unit; Shanghai Communications University Wu Ye, the people such as Fang Xinyan propose the concept of generalized model assessment, the cost of various black starting-up pattern and reliability are compared, extract the index of broad sense black starting-up mode evaluation from timeliness, structural, economy and reliability four aspects, utilize hierarchical data Envelope Analysis (DEA/AHP) method to assess black starting-up pattern.
2) to the research of formulating black starting-up overall plan
Xia Shaolian, Li Guozhu etc. are the brief discussion meaning of Black-start Schemes of Electric Power Grid in the literature, in conjunction with Central China Power Grid feature, describe the workout content of Central China network regulation black-start scheme, also have a lot of staff to be studied for the black-start scheme of a certain specific electrical network to this electrical network.Height is looked far into the distance, turn round and look at snow equal utilization Network topology technology and expert system is studied black-start scheme Generating Problems, is intended to dispatcher and carries out power system restoration and provide a scientific, visual decision references.Liu Yingshang, Wu Wenchuan are studied black starting-up subregion, define a kind of black starting-up subregion Mathematical Modeling, and be Boolean function by this model conversation, and design and development is a kind of based on two stage black starting-up sector search algorithm.Li Bihui, Tian Feng discuss the conventional method of power system blackstart solution formulation, analyze the safety problem in Power System Restoration Process, emphasis has inquired into System recover aid decision evaluation system, for the manual intelligent of power system recovery solution formulation provides reference.The people such as Xue Yusheng, Wang Haohao consider under black starting-up being put into Power Market, propose economic optimization target and should be service fee and risk of loss sum is minimum.
3) control analysis of active reactive characteristic research and frequency and voltage in black starting-up process
Three kinds of overvoltage likely can be produced: power-frequency overvoltage, switching overvoltage and resonance overvoltage in system black starting-up process.Overvoltage may cause the damage of the power equipments such as transformer, protective relaying device, switch, makes black starting-up procedure failure.Must carefully study and superpotential reason occurs, prevent superpotential generation.Wang Wei is red, Yang Zenghui etc. utilizes RTDS real-time emulation system to solve the black starting-up starting stage in Shanghai Power Network black startup test, due to the problem of reverse power protection generation set grid-connection failure.Permitted the situation that self-excitation overvoltage easily occurs when friendly policy is run generator zero load band long transmission line, describe 4 kinds of Self-Excitation Criterions such as the short-cut counting method of generator band long transmission line, impedance comparison method, circle diagram method, charge characteristic method, and done analytical calculation.When Wu Yichun, Ding Ming etc. analyze in power system blackstart process and recover unloaded long distance overhead transmission line, there is the mechanism of internal overvoltage, establish over-voltage simulation computation model, electric power system general-purpose computations software can be used to emulate.The swollen source of Lee proposes the method utilizing neural net fast prediction black starting-up closing overvoltage, total sample space is formed by selecting one group of effective input feature vector, and adopt electromagnetic transients program (EMTP) to set up training sample set and test sample book collection, error backward propagation method for constructing the mapping relations between input feature vector and overvoltage peak value, thus realizes the fast prediction of black starting-up closing overvoltage.The people such as He Jinding are based on the simulation result of RTDS real-time emulation system to pilot system, and proposition impact is idle and active power variation tendency is the key factor affecting voltage stability, and the field regulator of generator and reactor are comparatively suitable countermeasures.
4) assessment in black starting-up path and selection
The assessment in black starting-up path is a Multi-attribute synthetic evaluation problem, and researcher conducts in-depth research this problem from different perspectives, proposes numerous Efficient Evaluation method.About black starting-up path evaluation method roughly can be divided into Deterministic Methods and the large class of fuzzy class methods two in existing document.Deterministic black starting-up path evaluation method is relatively simple because of it, and is subject to the attention of researcher at first.Turn round and look at snow equality propose based on analytic hierarchy process AHP (analytichierarchyprocess) appraisal procedure and utilize DEA (DEA) method to carry out the efficiency assessment of black-start scheme.Lin Jikeng, Jiang Yuemei etc. take full advantage of the two advantage, propose the black-start scheme appraisal procedure based on DEA/AHP model.Wu Ye proposes improving one's methods of DEA---group standard method (GSM).Meng Xianpeng, Lin Jikeng etc. propose the black starting-up appraisal procedure based on incidence matrices, for the overall process analysis of strategies of Tianjin Power Grid black starting-up.Lin Zhenzhi, Wen Fu such as to fasten at the black starting-up appraisal procedure proposed based on entropy power and TOPSIS method, enhance the objectivity of assessment.Liu Lianzhi, turns round and look at snow equality and considers different black starting-up path to the impact of reconfiguration of electric networks efficiency, in conjunction with critical path method (CPM) with intersect particle cluster algorithm and carried out emulating solving to Southern Hebei Network system.
In order to consider the Practical Project approach degree of index better, take into account the ambiguity of qualitative index, many researchers propose and utilize fuzzy assessment method to carry out black-start scheme assessment.Chen Liwei etc. propose the black-start scheme appraisal procedure based on fuzzy DEA, and fuzzy technology combines with AHP by Li Xiuqing, Shang Jinggang etc., propose the black-start scheme appraisal procedure that interval number method in AHP and fuzzy technology is combined.Zhang Zhiyi, Chen Yun equality propose the black-start scheme appraisal procedure based on Fuzzy Multi-Attribute Decision Making (FMDM), and the method Evaluated effect is better, but more complicated.Lin Jikeng, Li Tongfei propose the fuzzy overall evaluation strategy based on entropy power, and the relative process of the method is simple, and has good evaluation effect.Lin Zhenzhi, Wen Fu to fasten etc. and propose a kind of Sensitivity Analysis Method based on simple additive weight, the impact that the change that have studied desired value and index weights is sorted on black starting-up preferred version, and the scientific offering for index weights provides useful thinking.
5) network reconfiguration and load restoration
By the viewpoint of mathematics, the System recover after black starting-up success is a multistage, multiple target, nonlinear optimization problem.It can be divided into two aspects: (1) main grid structure reconstructs, and with as much as possible for power failure district provides power supply, namely recovers main grid structure and power supply; (2) load restoration, to recover the power supply of load in power failure district as much as possible.The reconstruct of main grid structure be unable to do without the support of load restoration, and the recovery demand of important load will affect target net structure to a certain extent.
For main grid structure reconstruct, rack reconstruction stage solves by " serial " and " walking abreast " two power transmission stages by Zhou Yunhai, Min Yong etc. respectively, and gives corresponding power transmission optimum path search algorithm.Liu Yan, turn round and look at snow equality and propose back bone network this concept, to utilize in scales-free network " core node " thought as the guidance of the fast quick-recovery of system after large-area power-cuts.Wei Zhibo, Liu Yan adopt Discrete Particle Swarm Optimization Algorithm, account for the ratio recovering load total amount be up to target structure recovery rack with important load amount of recovery.Zhou Yunhai, Liu Yingshang etc. establish system returns to loop network process Mathematical Modeling from tree network, and adopt heuritic approach, ask for the input order problem of circuit the best.Lin Zhenzhi, Wen Fu to fasten etc. and introduce betweenness index to this problem, are optimized restoration path.Network reconfiguration is modeled as the Local Minimum tree problem of a searching figure by Liu Qiang, Shi Libao, Ni Yixin etc., adopts the weighting power transmission path that intelligent optimization algorithm search is the shortest.Should say, said method all obtains certain effect, but due to when recovery system, often system scale is larger, all also need explore further in engineering practical feasibility.
6) exploitation of black starting-up DSS
Formed fast for the auxiliary of black-start scheme, assess and check, existing researcher devises more corresponding tentative auxiliary decision-making support systems.Zhou Yunhai, Min Yong etc., from theoretical and engineering actual demand, propose the related notion of black starting-up DSS, and inquire into the structure of system and related algorithm.Yang Deshang, Yuan Rongxiang etc. develop a set of black starting-up DSS based on C++, QT and SQLSERVER, can more convenient realization to the aid decision of black starting-up process, but its computing function is slightly simple, only comprise Load flow calculation and calculation of fault, do not consider that self-excitation, stability etc. calculate and check content; The scheme evaluation sort method in its knowledge based storehouse, the acquisition because of knowledge is a difficult point, therefore its practicality also needs further verification.Su Desheng, Zhao Shuqiang etc. are based on artificial intelligence technology, develop Southern Hebei Network black start assistant decision system, the verification of this systems technology is comparatively perfect, but its scheme evaluation and sort method are also just based on single analytic hierarchy process (AHP) (AHP), for different schemes, may occur cannot by the situation of consistency desired result.The power network modeling of these systems and figure are independent of outside the dispatch automated system of on-line operation, and the construction period is long, also may there is careless omission, cannot adapt to fast-changing electrical network, also cannot at other control centre's Rapid Popularizations.
The analysis package of black starting-up problem, containing the aspects of contents of electric power system, is a comprehensive systematic large-scale research topic, had both needed certain depth & wideth, and had again great engineering significance, therefore receives the most attention of China and foreign countries researcher.
In power grid"black-start" process, mainly deposit technical problem in the following areas:
1) sub-network division is recovered
When black starting-up power supply point has been determined and system has multiple black starting-up power supply point, in order to improve the resume speed of electrical network, as soon as possible according to the design feature of electrical network, large scale electric network should be divided into two or more subsystem and recover independently, be i.e. parallel recovery.
2) voltage control in recovery process
Voltage control and idle relevant, the electric power that self-starting unit sends need be sent through high pressure or ultra high-tension transmission line.Initial stages of restoration, first will charge zero load or underloading long transmission line, due to the existence of distributed capacitance, a large amount of reactive powers will certainly be discharged, generator self-excitation and busbar voltage may be caused to raise transfinite, cause the action of CXP (self-excitation overvoltage limiter), therefore require that self-starting unit has the ability absorbing idle or leading phase operation.
3) FREQUENCY CONTROL in recovery process
Frequency and system are exerted oneself relevant with load, and control frequency relates to load restoration speed and machine unit speed regulating device responds and frequency modulation frequency modulation.
4) coordination of active power
The allocation proportion of starting power and important load must be considered in recovery process, reduce the loss as far as possible, add quick-recovery.
5) unit starting order
The various crash time intervals of unit must be got hold of when carrying out black starting-up, formulate rational unit starting order.If miss these time intervals, the time of System recover can be incured loss through delay.
6) the self-excitation problem at black starting-up initial stage
Unit self-excitation is a kind of resonance phenomena.When generator zero load band long transmission line, the capacitive reactance X of circuit cdiminish, if X c<X dtime, be equivalent to be with a capacitive load, if generator has remanent magnetism, then machine end has a small voltage U 0, this voltage is added on capacitive load, and system will produce capacity current, and this capacity current can produce magnetic assist effect to generator.Along with the increase of exciting current, unit voltage will raise, so capacity current also will increase in system, magnetic assist effect will be strengthened, U 0rise again.
7) the closing overvoltage problem of nonloaded line
Several overvoltage problem must be considered: continue power-frequency overvoltage, switching overvoltage and resonance overvoltage during initial stage recovery system.
8) black starting-up initial stage low-frequency oscillation problem
Generator is when power transmission line paired running, relatively waving between rotor can be there is in disturbance cases, and cause sustained oscillation when lacking damping, also there is corresponding concussion in the power now on power transmission line, low-frequency oscillation is called because frequency is lower, its essence is long distance load, system lacks enough dampings.
9) system stability problem after preliminary recovery
After preliminary recovery, system rack is also weaker, and whole system capacity is less, and therefore system just must be considered by transient stability situation during large interference.
10) simultaneous interconnecting
Interconnection between closed two mini systems, likely causes great vibration to system, even may make system unstability and off-the-line again.Reduce the phase angle difference between bus, often need to readjust trend distribution.
11) automatics in black starting-up process and protection cooperation
Recovery process often allows system works in the operating mode more severe than normal condition, if now protective device incorrect operation, may interrupt or incur loss through delay recovery, therefore must the configuration and setting value of corresponding adjustment protective device.
Power grid"black-start" problem is a comprehensive systematic large-scale research topic.Technically, its analysis package contains the many-sided content of electric power system, includes steady state techniques, transient state technology, computer simulation technique, topological analysis technique etc., further comprises probability analysis technology, optimisation technique etc.Its research should have certain degree of depth, also will have certain range.From practical application, power grid"black-start" is again a systematic job, and the specialty related to is wide, unit is many, should consider structure and the safety of electrical network, considers social influence and economic benefit again; Should local interest be considered, take the interests of the whole into account again.Each factor above-mentioned directly decides the success or not of black starting-up, is thus also the key issue in black starting-up process.
Current power system blackstart scheme forming system, has following shortcoming:
1) independent self-organizing system.Need to set up independently Database Systems, graphics system, power system computation program.Tight tracking cannot be carried out to current operation electric power system, thus cannot carry out the calculating of black starting-up prediction scheme to current operational system fast online.
2) in black starting-up prediction scheme, System recover amount of calculation is huge, and computing time, often in some hours, cannot provide aid decision for dispatching of power netwoks runs online.
3) real-time Simulated training cannot be carried out to the black starting-up prediction scheme formed.Because DTS, inherently to the instrument that dispatching of power netwoks person gives training, DTS demonstrates black starting-up prediction scheme, from emulation room environmental to the display of electrical network picture, and grid model data, all the same with real power-management centre.Thus there is good result of training.
4) deduction of prediction scheme cannot be carried out on DTS.As the DTS of dispatching of power netwoks person's training tool, both can carry out emulation training to dispatcher, the deduction of black starting-up prediction scheme can be carried out again.Through the deduction of black starting-up prediction scheme, electrical network mode personnel can be deepened to the understanding of black starting-up prediction scheme on the one hand, the deficiency of black starting-up prediction scheme can be found on the other hand, and in new prediction scheme formation condition, increase more reasonably prerequisite setting, thus form the black starting-up prediction scheme more tallied with the actual situation.
Summary of the invention
The object of the invention is to, a kind of black start assistant decision making system based on DTS is provided.
Technical scheme of the present invention is as follows:
A kind of black start assistant decision making system based on DTS, comprise graphic platform, database and Algorithm Analysis storehouse three parts, described graphic platform is made up of the picture browser of intelligent grid supporting system technology and independently developed window, there is provided visual graphical interfaces, plant stand figure and rack figure, friendly interactive mode helps user to use fast and secondary development; Described database preserves each component parameters and analysis result in electric power system, facilitates user to revise and checks, real-time data base, commercial data base and file type that comprising basic platform provides store; Described Algorithm Analysis storehouse comprises the numerical analysis algorithm and optimized algorithm that all needs in black starting-up process use, and is the technological core place of whole system;
It is characterized in that:
Described system adopts modular hierarchy, is made up of data Layer, application layer, application supporting layer, interface layer and client layer;
Described data Layer, by database and file system, realizes the storage to black starting-up information, comprises the storage of black starting-up distribution element, black-start scheme information, black starting-up result and black starting-up recovery scheme form;
Application layer contains application module and mainly comprises data management, coordinates measurement, path verification with assessment, figure shows and edit, System recover, man-machine interaction efficiently of providing convenience.
Application supporting layer comprises the basic-level support programs such as electromagnetic transient simulation, electromechanical transient simulation, feasibility School Affairs path optimization, in order to generate black-start scheme and to provide decision support to commanding.
Have one deck interface layer between application supporting layer and data Layer, the simulation parameter in order to the parameter that user set and power system component is delivered to base layer support program;
Client layer is for providing the dispatching of power netwoks personnel of decision support.
Further, described system comprises the pattern of researching and analysing, and comprises following functional module researching and analysing under pattern:
(1) analytical calculation module, comprises
1) Load flow calculation, adopts classical PQ to decompose tidal current computing method.
2) EM transient calculation, adopts backward-Euler method, and circuit element adopts distributed parameter model.
3) electromechanical transient calculates, and adopts Jacobi alternative manner to carry out model solution.
4) self-excitation verification, adopts impedance criterion method to carry out model solution.
5) route searching, adopts the rule-based Depth Priority Algorithm improved.
6) path evaluation, adopt entropy power fuzzy synthetic appraisement method, and adopt the index of correlation taken black starting-up power supply into account and be activated in power supply startup sequence Optimized model, for same black starting-up power supply and the same each path being activated power supply, newly-increased index can not affect its relative assessment result, when black starting-up power supply or when being activated power supply difference, evaluation result then includes black starting-up power supply or the consideration being activated power supply.
7) System recover, adopts the System recover algorithm of multiple-objection optimization, optimizes 3 System recover targets: a) the switching operation in substation time is as far as possible short simultaneously; B) loss of outage is as far as possible few; C) system is as far as possible strong; Parallel computing is adopted in this module.
(2) result of calculation display module, comprises
1) read Research foundation section and read real-time section
Reading Research foundation section is each equipment class table be applied in by required electric network data loading black start assistant decision making under real-time state, and its data source is divided into: 1. real-time section; 2. Historic Section; 3. section is studied.Real-time section obtains from state estimation application or SCADA application, directly calls remote command by man-machine interface, and Historic Section or research section start CASE management tool by man-machine interface, and the CASE service provided by platform is to obtain section;
Read real-time section similar with it, just not by CASE management tool read history or research section information this part;
2) recovery target section is read
Read recover target section be required electric network data is loaded black start assistant decision making be applied in test state under each equipment class table, its data source and mode of operation consistent with reading Research foundation section.
3) cross section regulation is studied
Research cross section regulation is namely on the basis of a certain specific section, and any adjust operation mode, forms the process of research section.Initial section is loaded in research state, carries out operational mode adjustment, be stored as research section, as seen in figs. 5-6 by CASE management tool by plant stand graphic operation.
4) section recovers
Section recovers to be realized by CASE management tool;
(3) configuration module is calculated
Calculating configuration module comprises the setting of each calculating parameter, unit relevant device is arranged and setting is moved back in high resistance throwing, and its essence belongs to parameter user of service inserted in man-machine interface and is saved in database.
Further, in described analytical calculation module, the result of route searching is the public input of each module, Load flow calculation calculates for electromechanical transient and EM transient calculation provides initial value and node admittance matrix, route searching result and every check results together constitute the initial data of path evaluation, combining assessment controling parameters, can obtain path evaluation result.
Beneficial effect of the present invention is:
(1) combine together with the DTS based on D5000 intelligent grid supporting system technology, share real-time grid database, data communication platform, electrical network picture.
(2) the System recover module of black starting-up prediction scheme uses parallel computation, computing time in minute, can be implemented in line and form black starting-up prediction scheme, for actual electric network management and running provide strong guarantee.
(3) on DTS, carry out black starting-up prediction scheme emulation training, make dispatching of power netwoks person's intensification to the understanding of black starting-up prediction scheme step and memory.
(4) on DTS, carry out emulation to black starting-up prediction scheme to deduce, operational mode personnel in conjunction with electrical network actual conditions, can revise and make up the deficiency of black starting-up prediction scheme.
Accompanying drawing explanation
Fig. 1 is system global structure figure of the present invention.
Fig. 2 is Rotating fields schematic diagram of the present invention.
Fig. 3 of the present inventionly researchs and analyses data flow figure under pattern.
Fig. 4 is the functional structure chart researched and analysed under pattern of the present invention.
Fig. 5 is that the present invention reads Research foundation profile data interface diagram.
Fig. 6 is that the present invention studies cross section regulation data-interface schematic diagram.
Fig. 7 is that the present invention calculates configuration data interface diagram.
Fig. 8 is the relation schematic diagram of each intermodule of analytical calculation of the present invention.
Fig. 9 route searching data-interface schematic diagram.
Figure 10 is Load flow calculation data-interface schematic diagram of the present invention.
Figure 11 is electro-magnetic transient of the present invention, electromechanical transient and self-excitation checking data interface diagram.
Figure 12 is path evaluation data-interface schematic diagram of the present invention.
Figure 13 is that present system recovers data-interface schematic diagram.
Figure 14 result of calculation shows interface diagram.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is elaborated.
The present invention is based on D5000 intelligent scheduling back-up system DTS, electrical network picture and operation of power networks data all pick up from D5000 support platform: running environment is Linux environment; Employing oracle database is supported; Development language is C++; Adopt Qt development graph human-computer interaction interface.
Black start assistant decision making system of the present invention is three parts: graphic platform, database and Algorithm Analysis storehouse.Graphic platform is made up of the picture browser of intelligent grid supporting system technology and independently developed window, mainly provides visual graphical interfaces, plant stand figure and rack figure, and friendly interactive mode helps user to use fast and secondary development; Database preserves each component parameters and analysis result in electric power system, facilitates user to revise and checks, real-time data base, commercial data base and file type that comprising basic platform provides store; Algorithm Analysis storehouse comprises the numerical analysis algorithm and optimized algorithm that all needs in black starting-up process use, and is the technological core place of whole system.The total result of three parts as shown in Figure 1.
In conjunction with the functional localization of black start assistant decision making system and the technical characterstic of black starting-up Correlation Analysis Technique on-line operation, now design power grid"black-start" decision-assistant software major function as follows:
1) select suitable black starting-up power supply and be activated power supply, and obtaining all feasible electrical path from black starting-up power supply to target power by path search algorithm.
2) allow user as required from edlin do not belong to basic platform data component parameters, add the path of deleting and needing School Affairs to evaluate, flexibly adjustment Weight of Expert etc. calculate and configure.
3) electric power verify calculation is carried out to all feasible paths, comprise self-excitation verification, power-frequency overvoltage verification, switching overvoltage School Affairs electric voltage frequency skew verification, do not meet the path of schedule regulation requirement with elimination technique index.
4) all black starting-up paths by every verification assessed and sorted, selecting from black starting-up power supply to the path being activated power supply combination property optimum.
5) based on optimal path, under the prerequisite meeting the constraint of every electric power, analyze and recover step that region and even the whole network power and optimal case.
This black start assistant decision making system adopts modular hierarchy, and by client layer, application layer, application supporting layer, data Layer forms.
Data storage layer, by database and file system, realizes the storage to black starting-up information.Specifically comprise the storage (bus, route, transformer, subsidiary engine, damping system, governing system and excitation system etc.) of black starting-up distribution element, black-start scheme information (black starting-up optimum configurations, black starting-up power supply, opened power supply, black starting-up path), black starting-up result (voltage graph, flow data) and black starting-up recovery scheme form.
Application layer contains application module and mainly comprises data management, coordinates measurement, path verification with assessment, figure shows and edit, System recover.Application module is with thinking man-machine interaction efficiently of providing convenience.
Application supporting layer comprises the basic-level support programs such as electromagnetic transient simulation, electromechanical transient simulation, feasibility School Affairs path optimization.In order to generate black-start scheme and to provide decision support to commanding.
Have one deck interface layer between application supporting layer and data Layer, the simulation parameter in order to the parameter that user set and power system component is delivered to base layer support program.
Client layer is expressed as the dispatching of power netwoks personnel providing decision support.
Functional module of the present invention divides and operation workflow:
Consider that black starting-up real-time recovery is assisted and the difference formulating black starting-up study means, the present invention is applicable to research and analyse operational mode.
Research and analyse functional structure under pattern as Fig. 2, its calculate configuration and analytical calculation function consistent with real-time mode, section reading aspect reads real-time section function and becomes reading Research foundation section and research cross section regulation function, add section restore funcitons, result of calculation display then comprises voltage waveform displaying, available path rank, black-start scheme generate.Under research mode, the interaction point of system and user is a lot, and each computing module is the relatively independent workflow diagram not having specification as real-time auxiliary mode also, now provides the flow diagram 3 of data flow.
Specific targets are as shown in table 3-1.
The index that table 5-1 power grid"black-start" aid decision path evaluation uses
Following functional module is comprised as shown in Figure 4 under researching and analysing pattern:
(1) analytical calculation module, comprises
1) Load flow calculation, adopts classical PQ to decompose tidal current computing method.
2) EM transient calculation, adopts backward-Euler method, and circuit element adopts distributed parameter model.
3) electromechanical transient calculates, and adopts Jacobi alternative manner to carry out model solution.
4) self-excitation verification, adopts impedance criterion method to carry out model solution.
5) route searching, adopts the rule-based Depth Priority Algorithm improved.
6) path evaluation, adopt entropy power fuzzy synthetic appraisement method, and adopt the index of correlation taken black starting-up power supply into account and be activated in power supply startup sequence Optimized model, for same black starting-up power supply and the same each path being activated power supply, newly-increased index can not affect its relative assessment result, when black starting-up power supply or when being activated power supply difference, evaluation result then includes black starting-up power supply or the consideration being activated power supply.
7) System recover, adopts the System recover algorithm of multiple-objection optimization, optimizes 3 System recover targets simultaneously:
A) the switching operation in substation time is as far as possible short; B) loss of outage is as far as possible few; C) system is as far as possible strong; Parallel computing is adopted in this module.
(2) result of calculation display module, comprises
1) read Research foundation section and read real-time section, as shown in Figure 5.
Reading Research foundation section is each equipment class table be applied in by required electric network data loading black start assistant decision making under real-time state, and its data source is divided into: 1. real-time section; 2. Historic Section; 3. section is studied.Real-time section obtains from state estimation application or SCADA application, directly calls remote command by man-machine interface, and Historic Section or research section start CASE management tool by man-machine interface, and the CASE service provided by platform is to obtain section;
Read real-time section similar with it, just not by CASE management tool read history or research section information this part;
2) recovery target section is read
Read recover target section be required electric network data is loaded black start assistant decision making be applied in test state under each equipment class table, its data source and mode of operation consistent with reading Research foundation section.
3) cross section regulation is studied
Research cross section regulation is namely on the basis of a certain specific section, and any adjust operation mode, forms the process of research section.Initial section is loaded in research state, carries out operational mode adjustment, be stored as research section, as shown in Figure 6 by CASE management tool by plant stand graphic operation.
4) section recovers
Section recovers to be realized by CASE management tool;
(3) configuration module is calculated, as shown in Figure 7.
Calculating configuration module comprises the setting of each calculating parameter, unit relevant device is arranged and setting is moved back in high resistance throwing, and its essence belongs to parameter user of service inserted in man-machine interface and is saved in database.
Database design:
The database of power grid"black-start" decision-assistant software comprises system database (various public equipment list), computation database (parameter list, result of calculation table etc.), private data storehouse (only relevant to this software table).The database of power system recovery aid decision is the bridge of contact procedure, picture, input/output information, plays a part to deposit initial data, preserve computational process record and computing information, output result of calculation.The content of the database of power system recovery aid decision mainly comprises following three parts:
1) equipment class table
Black starting-up unit table: the startup precedence information comprising each transient state parameter information and the artificial judgment do not possessed in basic platform, and equivalent parameters when outer net interconnection and direct current system are equivalent to unit.
Auxiliary system table: comprise the corresponding relation of auxiliary system and unit and the operational factor of auxiliary system.
Governing system table: comprise the corresponding relation of governing system and unit and the operational factor of governing system.
Excitation system table: comprise the corresponding relation of excitation system and unit and the operational factor of excitation system.
Damping winding table: comprise the corresponding relation of damping winding and unit and the operational factor of damping winding.
2) analysis result class table
Routing table: can be communicated with specified power supply for storage must by branch road information to being activated power source path institute.
Voltage check result table: for storing the result of power-frequency overvoltage verification and switching overvoltage verification.
Other check results tables: for storing the result that self-excitation verification, voltage and frequency stability verify.
3) result shows class
Evaluating data table: gather each intermediate analysis result, with the control mark whether participating in evaluating
Evaluation result table: the evaluation score in each path, rank and assessment time the data that adopt.
Analytical calculation part mainly comprises 6 modules: the verification of route searching, self-excitation, Load flow calculation, EM transient calculation, electromechanical transient calculating and path evaluation and System recover.Wherein, the result of route searching is the public input of each module, Load flow calculation calculates for electromechanical transient and EM transient calculation provides initial value and node admittance matrix, route searching result and every check results together constitute the initial data of path evaluation, combining assessment controling parameters, can obtain path evaluation result.The data flow of each intermodule as shown in Figure 8.
The detailed data stream of each module is as follows.
A) route searching, as Fig. 9.
Input Data Source: each underlying table of equipment class, black start assistant decision making global table, the black starting-up power supply of being specified by man-machine interface and be activated power supply.
Result storage locations: anomaly parameter alarm log, black starting-up routing table, trend input table.
Export and use object: man-machine interface, Load flow calculation and other computing modules.
B) Load flow calculation, as Figure 10.
Input Data Source: trend input table, black start assistant decision making global table.
Result storage locations: power flow solutions table, node admittance battle array table, branch data table, calculating abnormal information alarm log.
Export and use object: man-machine interface, EM transient calculation, electromechanical transient calculate.
C) electro-magnetic transient, electromechanical transient and self-excitation verification, as Figure 11.
Input Data Source: power flow solutions table, branch data table, node admittance battle array table, trend input table, black start assistant decision making global table.
Result storage locations: voltage check result table, other check results tables, assessment data table and calculating abnormal information alarm log, transient emulation timing results file.
Export and use object: man-machine interface, path evaluation.
D) path evaluation, as Figure 12.
Input Data Source: power flow solutions table, branch data table, node admittance battle array table, trend input table, black start assistant decision making global table.
Result storage locations: voltage check result table, other check results tables, assessment data table and calculating abnormal information alarm log.
Export and use object: man-machine interface.
E) System recover, as Figure 13.
F) result of calculation is shown, as Figure 14.
Input Data Source: power flow solutions table, evaluation result table, trend input table, voltage check result table, other check results tables, transient emulation timing results file.
Result storage locations: disk file system.
Export and use object: software application personnel.
G) analysis result stores
Path is carried out to the result verified, for convenience of using, the mode that native system adopts file system and Database Systems to combine stores.Owing to needing between each module to carry out information interaction, so need data efficient reasonably to transmit.

Claims (3)

1. the black start assistant decision making system based on DTS, comprise graphic platform, database and Algorithm Analysis storehouse three parts, described graphic platform is made up of the picture browser of intelligent grid supporting system technology and independently developed window, there is provided visual graphical interfaces, plant stand figure and rack figure, friendly interactive mode helps user to use fast and secondary development; Described database preserves each component parameters and analysis result in electric power system, facilitates user to revise and checks, real-time data base, commercial data base and file type that comprising basic platform provides store; Described Algorithm Analysis storehouse comprises the numerical analysis algorithm and optimized algorithm that all needs in black starting-up process use, and is the technological core place of whole system;
It is characterized in that:
Described system adopts modular hierarchy, is made up of data Layer, application layer, application supporting layer, interface layer and client layer;
Described data Layer, by database and file system, realizes the storage to black starting-up information, comprises the storage of black starting-up distribution element, black-start scheme information, black starting-up result and black starting-up recovery scheme form;
Application layer contains application module and mainly comprises data management, coordinates measurement, path verification with assessment, figure shows and edit, System recover, man-machine interaction efficiently of providing convenience;
Application supporting layer comprises the basic-level support programs such as electromagnetic transient simulation, electromechanical transient simulation, feasibility School Affairs path optimization, in order to generate black-start scheme and to provide decision support to commanding;
Have one deck interface layer between application supporting layer and data Layer, the simulation parameter in order to the parameter that user set and power system component is delivered to base layer support program;
Client layer is for providing the dispatching of power netwoks personnel of decision support.
2. a kind of black start assistant decision making system based on DTS according to claim 1, it is characterized in that, described system comprises the pattern of researching and analysing, and comprises following functional module researching and analysing under pattern:
(1) analytical calculation module, comprises
1) Load flow calculation, adopts classical PQ to decompose tidal current computing method;
2) EM transient calculation, adopts backward-Euler method, and circuit element adopts distributed parameter model;
3) electromechanical transient calculates, and adopts Jacobi alternative manner to carry out model solution;
4) self-excitation verification, adopts impedance criterion method to carry out model solution;
5) route searching, adopts the rule-based Depth Priority Algorithm improved;
6) path evaluation, adopt entropy power fuzzy synthetic appraisement method, and adopt the index of correlation taken black starting-up power supply into account and be activated in power supply startup sequence Optimized model, for same black starting-up power supply and the same each path being activated power supply, newly-increased index can not affect its relative assessment result, when black starting-up power supply or when being activated power supply difference, evaluation result then includes black starting-up power supply or the consideration being activated power supply;
7) System recover, adopts the System recover algorithm of multiple-objection optimization, optimizes 3 System recover targets: a) the switching operation in substation time is as far as possible short simultaneously; B) loss of outage is as far as possible few; C) system is as far as possible strong; Parallel computing is adopted in this module;
(2) result of calculation display module, comprises
1) read Research foundation section and read real-time section
Reading Research foundation section is each equipment class table be applied in by required electric network data loading black start assistant decision making under real-time state, and its data source is divided into: 1. real-time section; 2. Historic Section; 3. section is studied; Real-time section obtains from state estimation application or SCADA application, directly calls remote command by man-machine interface, and Historic Section or research section start CASE management tool by man-machine interface, and the CASE service provided by platform is to obtain section;
Read real-time section similar with it, just not by CASE management tool read history or research section information this part;
2) recovery target section is read
Read recover target section be required electric network data is loaded black start assistant decision making be applied in test state under each equipment class table, its data source and mode of operation consistent with reading Research foundation section;
3) cross section regulation is studied
Research cross section regulation is namely on the basis of a certain specific section, and any adjust operation mode, forms the process of research section; Initial section is loaded in research state, carries out operational mode adjustment, be stored as research section, as seen in figs. 5-6 by CASE management tool by plant stand graphic operation;
4) section recovers
Section recovers to be realized by CASE management tool;
(3) configuration module is calculated
Calculating configuration module comprises the setting of each calculating parameter, unit relevant device is arranged and setting is moved back in high resistance throwing, and its essence belongs to parameter user of service inserted in man-machine interface and is saved in database.
3. a kind of black start assistant decision making system based on DTS according to claim 1, it is characterized in that, in described analytical calculation module, the result of route searching is the public input of each module, Load flow calculation calculates for electromechanical transient and EM transient calculation provides initial value and node admittance matrix, route searching result and every check results together constitute the initial data of path evaluation, and combining assessment controling parameters can obtain path evaluation result.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106230827A (en) * 2016-08-02 2016-12-14 南京工程学院 A kind of multiple target service combining method optimized based on cost benefit
CN108460181A (en) * 2018-01-17 2018-08-28 华北电力大学 A kind of linear equal pressure sequence algorithm being suitable for half, full-bridge submodule mixed type MMC Dai Weinan equivalent models
CN110197305A (en) * 2019-05-31 2019-09-03 国家电网有限公司 A kind of relay protection data model chess game optimization method and system based on shortest path first
CN111160386A (en) * 2019-11-28 2020-05-15 南京航空航天大学 Data-driven power island detection method based on active reactive power disturbance
CN111274303A (en) * 2020-02-11 2020-06-12 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Real-time data modification interface method based on smart power grid dispatching technology system
CN112018765A (en) * 2020-09-15 2020-12-01 电子科技大学中山学院 Auxiliary decision method and system for scale wind power participating in black start
CN112134799A (en) * 2019-06-25 2020-12-25 佛山科学技术学院 Three-stage sensing topology method and system based on Internet of things
CN112416344A (en) * 2020-11-06 2021-02-26 国网福建省电力有限公司 Black start path generation and system recovery decision making system based on 3D visualization technology

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101236575A (en) * 2008-01-30 2008-08-06 山东大学 Black start assistant decision making support/training system and its method
CN102035256A (en) * 2010-11-26 2011-04-27 山东电力研究院 Auxiliary decision method for recovering group multiattitude of power system
CN102983629A (en) * 2012-11-07 2013-03-20 中国电力科学研究院 Auxiliary decision-making method for on-line power system restoration
CN103248127A (en) * 2013-05-23 2013-08-14 山东大学 Multi-space-time navigating power system restoration decision support system and restoration decision method
CN103296678A (en) * 2013-05-09 2013-09-11 国家电网公司 Online assistant decision making method for large power grid restoration
CN103296677A (en) * 2013-05-09 2013-09-11 国家电网公司 On-line large power grid recovery assistant decision-making system
US20150081129A1 (en) * 2011-12-28 2015-03-19 State Grid Electric Power Institute Equipment overload successive approximation adaptive control method based on centralized real-time decision

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101236575A (en) * 2008-01-30 2008-08-06 山东大学 Black start assistant decision making support/training system and its method
CN102035256A (en) * 2010-11-26 2011-04-27 山东电力研究院 Auxiliary decision method for recovering group multiattitude of power system
US20150081129A1 (en) * 2011-12-28 2015-03-19 State Grid Electric Power Institute Equipment overload successive approximation adaptive control method based on centralized real-time decision
CN102983629A (en) * 2012-11-07 2013-03-20 中国电力科学研究院 Auxiliary decision-making method for on-line power system restoration
CN103296678A (en) * 2013-05-09 2013-09-11 国家电网公司 Online assistant decision making method for large power grid restoration
CN103296677A (en) * 2013-05-09 2013-09-11 国家电网公司 On-line large power grid recovery assistant decision-making system
CN103248127A (en) * 2013-05-23 2013-08-14 山东大学 Multi-space-time navigating power system restoration decision support system and restoration decision method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王春义 等: "DTS 系统中的黑启动方案制定与培训仿真", 《电力自动化设备》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106230827A (en) * 2016-08-02 2016-12-14 南京工程学院 A kind of multiple target service combining method optimized based on cost benefit
CN106230827B (en) * 2016-08-02 2019-03-05 南京工程学院 A kind of multiple target service combining method based on cost-effectiveness optimization
CN108460181A (en) * 2018-01-17 2018-08-28 华北电力大学 A kind of linear equal pressure sequence algorithm being suitable for half, full-bridge submodule mixed type MMC Dai Weinan equivalent models
CN110197305A (en) * 2019-05-31 2019-09-03 国家电网有限公司 A kind of relay protection data model chess game optimization method and system based on shortest path first
CN110197305B (en) * 2019-05-31 2023-11-17 国家电网有限公司 Relay protection data model searching and optimizing method and system based on shortest path algorithm
CN112134799B (en) * 2019-06-25 2022-03-25 佛山科学技术学院 Three-stage sensing topology method and system based on Internet of things
CN112134799A (en) * 2019-06-25 2020-12-25 佛山科学技术学院 Three-stage sensing topology method and system based on Internet of things
CN111160386B (en) * 2019-11-28 2023-11-10 南京航空航天大学 Data-driven power island detection method based on active reactive power disturbance
CN111160386A (en) * 2019-11-28 2020-05-15 南京航空航天大学 Data-driven power island detection method based on active reactive power disturbance
CN111274303A (en) * 2020-02-11 2020-06-12 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Real-time data modification interface method based on smart power grid dispatching technology system
CN111274303B (en) * 2020-02-11 2023-09-08 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 Real-time data modification interface method based on intelligent power grid dispatching technology system
CN112018765A (en) * 2020-09-15 2020-12-01 电子科技大学中山学院 Auxiliary decision method and system for scale wind power participating in black start
CN112416344A (en) * 2020-11-06 2021-02-26 国网福建省电力有限公司 Black start path generation and system recovery decision making system based on 3D visualization technology
CN112416344B (en) * 2020-11-06 2022-06-03 国网福建省电力有限公司 Black start path generation and system recovery decision making system based on 3D visualization technology

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