CN104008512B - Online stability evaluation index system of electric power system - Google Patents
Online stability evaluation index system of electric power system Download PDFInfo
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- CN104008512B CN104008512B CN201410259657.XA CN201410259657A CN104008512B CN 104008512 B CN104008512 B CN 104008512B CN 201410259657 A CN201410259657 A CN 201410259657A CN 104008512 B CN104008512 B CN 104008512B
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- Y—GENERAL 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
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Abstract
The invention provides an online stability evaluation index system of an electric power system. The online stability evaluation index system comprises an online data integration module, a power grid operating state index classification and evaluation module, a power grid variation trend index customization and calculation module, a power grid variation trend index display module and a power grid variation trend decision-making aid module. On the basis of an online integration method of basic data, index classification and calculation are carried out accompanied by index display, and thus a reliable and reasonable basis is provided for aiding decision making of future trend variation of the power grid. Algorithm development, induction, summarization and classification are carried out on indexes reflecting the future operating state of the power grid in all aspects, and the future operating state of the power grid is clearly displayed. What needs to be protected mainly includes the design framework and the function content of an index system, an index classification method and a method adopted for a platform index customization tool and a formula parser.
Description
Technical field
The invention belongs to stabilization of power grids analysis field is and in particular to a kind of power system online Stability Assessment index system.
Background technology
Modern power network interconnection and the expansion of intermittent new forms of energy power grid scale, and various new power electric component
Application so that operation of power networks operating mode is more complicated, the unified stable mechanism of electrical network and appraisal procedure not yet have in-depth study.
Estimate aspect in electrical network further trend, also only reside within the form exhibition using prospective project trend (generating, load, maintenance etc.)
Open, still fall within the research method that " anticipation mode adds traditional analysis " combine.According to electrical network dynamic response trail change feature, reflect
Penetrate the quantization predictor method of reflection electrical network to-be deduction trend, index still belongs to blank so far.Thus, electrical network needs to build
Based on the full situation synthesis quantitative evaluation new system of response, this system should meet the stability assessment of electrical network current state,
Electrical network future the estimating of operation situation also to be had concurrently, this is carried out study either to theoretical deposit or to Engineering Guidance, no
It is suspected to have its positive meaning.
Content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of power system online Stability Assessment index system
System, based on the online fusion method of basic data, carries out index classification and calculates and be aided with index showing, and then be electrical network
Future trend change aid decision provides reliable, rational foundation.
In order to realize foregoing invention purpose, the present invention adopts the following technical scheme that：
There is provided a kind of power system online Stability Assessment index system, described system includes online data and integrates module, electricity
Running State index classification and evaluation module, the customization of electrical network variation tendency index and computing module, electrical network variation tendency index
Display module and electrical network variation tendency aid decision module；Described online data is integrated module and is integrated the trend data of reception
To future flow data, described operation of power networks state index classification and evaluation module and the customization of electrical network variation tendency index and calculating
Module according to following flow data, operation of power networks state index is estimated respectively and index customization, the assessment result obtaining and
Customization index is all transferred to described electrical network variation tendency index display module, described electrical network variation tendency index display module and electricity
Carry out information exchange between net variation tendency aid decision module, realize the control that power system stability is run.
Described trend data includes current flow data, prediction data and planning data；Described current flow data includes
WAMS data and EMS data, described prediction data is ultra-short term bus load prediction data, and described planning data includes maintenance meter
Draw data and generation schedule data.
Described online data is integrated module and is adopted and carries out Data Integration with the following method：
(1) pass through to obtain speed-up ratio, fall using parsing, format analysis and data separating in situ and OpenMP parallel computation
Low multi-data source read access time；
(2) figure related algorithm is adopted to generate topology, to improve the importing of on-line operation data breaker in middle, disconnecting link to topology point
Analysis and the speed of topology search；
(3) carry out data check, improve and provide basis for thin consolidation regulating measures while the quality of data；
(4) multi-source data splicing is completed using the method for boundary flow coupling, generate the future that on-line stability analysis calculate
Flow data.
Operation of power networks state index is divided into Index For Steady-state and steady by the classification of described operation of power networks state index and evaluation module
Determine index；
Described stability index includes steady stability index and transient state and dynamic indicator.
Described Index For Steady-state includes generator operation index, trend operating index, frequency operating index, voltage operating index
With interconnection operating index；
Described steady stability index includes electromotor margin index, node margin index, circuit and equipment load index, electricity
Force system transmission of electricity index, voltage Index For Steady-state, frequency qualification rate index, harmonic wave qualification rate index and power factor (PF) qualification rate refer to
Mark；
Described transient state and dynamic indicator include generating set track index, small interference stability index, voltage holding capability refer to
Mark, stabilization of power grids limit index and short circuit current index.
Described operation of power networks state index is classified with evaluation module according to following flow data by quick positioning failure collection
Method operation of power networks state index is estimated, detailed process is as follows：
(1) adopt Network Voltage Stability nargin as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state
Property；
(2) adopt key sections Total transfer capability as the peace of the safety and stability metrics evaluation electrical network of operation of power networks state
Quan Xing；
(3) adopt the fault extreme mute time as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state
Property.
Described electrical network variation tendency index customization and computing module adopt the index Customization Tool of hardware and software platform through secondary finger
Demarcate the customization index being obtained；Described index Customization Tool is Formula Solution parser.
Described Formula Solution parser includes client-side interface, serviced component, data interface assembly and Formula Parsing assembly；
Described client-side interface is service call interface, by sending service number request service, after the completion of service, receives
The result of calculation fed back by service end；
Described serviced component and data interface assembly, Formula Parsing assembly collectively form service end, and serviced component is responsible for joining
Put the initialization of result of calculation and the communication of client-side interface, the caching of analytic formula and Formula Parsing call before scheduling
Work；
Described data interface assembly is pressed specified format from different data sources and is read data, or the data by specified format
Write different data sources；
Described Formula Parsing assembly includes morphology resolver, grammar parser and grammar explanation device；Described morphology resolver
Original formula character string parsing is to calculate symbol string sequence, described grammar parser is to take out by calculating symbol string sequence analysis
As syntax tree, described abstract syntax tree as the input of grammar explanation device, incoming number when being called in conjunction with Formula Parsing assembly
Explain execution formula according to source data relation information, generate result of calculation.
Described electrical network variation tendency index display module adopts the real-time platform of double net two servers, by Layering manifestation list
Unit is shown to the overall operation state of power system；Described Layering manifestation unit includes ground floor display unit, the second layer
Display unit and third layer display unit.
Described ground floor display unit passes through the classification indicators based on real-time operating conditions for the structure and based on fuzzy clustering
Overall warning index, the general safety running status of objective evaluation power system；Bus in visualization system is virtual mother
Line, for the possible multistage busbar voltage of dynamic representation；
Described second layer display unit shows macro-data analysis result of problems, and analysis result includes section tide
Stream, the low frequency oscillation of critical circuits, N I fault scanning and sensitive analysis result；
Third layer display unit shows the concrete data of equipment in power system by way of label.
Existed according to operation of power networks state first based on the electrical network variation tendency aid decision module that trace sensitivity calculates
Line security and stability analysis and the analysis result of early warning stability analysis, pick out the unstability hidden danger of harm power system security, then
By to power system linearisation, calculating the controlled variable of power system and the correlation coefficient of system dangerous amount, finally by correlation
The sequence of coefficient to be adjusted element and its adjustment amplitude of power system with calculating.
Compared with prior art, the beneficial effects of the present invention is：
The power system online Stability Assessment index system that the present invention provides is from various angles to can reflect electrical network future
The index of operation conditions carries out algorithm development, conclusion, summary, classification, clear displaying electrical network future running status.Protection point is main
Design framework including index system system and feature content, the index Customization Tool of index classification method and hardware and software platform and public affairs
The method that formula resolver adopts.
Brief description
Fig. 1 is power system online Stability Assessment index system structured flowchart during the present invention is implemented；
Fig. 2 is that during the present invention is implemented, the classification of operation of power networks state index and evaluation module are classified to operation of power networks state index
Figure；
Fig. 3 is operation of power networks state index to be estimated flow using the method for quick positioning failure collection during the present invention is implemented
Cheng Tu；
Fig. 4 is the customization of electrical network variation tendency index and computing module structural representation during the present invention is implemented.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in further detail.
As Fig. 1, a kind of present invention offer power system online Stability Assessment index system, described system includes online data
Integrate module, the classification of operation of power networks state index and evaluation module, the customization of electrical network variation tendency index and computing module, electrical network to become
Change trend indicator display module and electrical network variation tendency aid decision module；Described online data integrates the trend that module will receive
Data Integration obtains following flow data, described operation of power networks state index classification and evaluation module and electrical network variation tendency index
Customization and computing module are estimated to operation of power networks state index according to following flow data and index customization respectively, obtain
Assessment result and customization index are all transferred to described electrical network variation tendency index display module, described electrical network variation tendency index exhibition
Show and between module and electrical network variation tendency aid decision module, carry out information exchange, realize the control that power system stability is run
System.
Described trend data includes current flow data, prediction data and planning data；Described current flow data includes
Wide-area monitoring systems (WAMS) data and electric energy management system (EMS) data, described prediction data is that ultra-short term bus load is pre-
Survey data, described planning data includes repair schedule data and generation schedule data.
Based on the whole network on-line operation data that single source or multiple source are spliced, with offline mode data institute
The detailed model of the grid equipment comprising and dynamic parameter refresh corresponding grid equipment in offline mode data.Wherein, square offline
The essential information participating in formula data refreshing includes：AC line, series/parallel capacity reactance device, transformator Zero sequence parameter, direct current
Line, electromotor, load model etc..But, because on-line operation data equipment and offline mode data equipment are difficult to ensure that one by one
Corresponding, the integral data equipment after refreshing may not possess detailed model and dynamic parameter or unreasonable, needs to take necessary
Treatment measures guarantee the carrying out that follow-up safety on line assessment calculates；Additionally, data point reuse measure also will be taken to guarantee integral data
Trend is consistent with on-line operation data as much as possible.Therefore online data is integrated module and is adopted that to carry out data with the following method whole
Close：
(1) pass through to obtain speed-up ratio, fall using parsing, format analysis and data separating in situ and OpenMP parallel computation
Low multi-data source read access time；
(2) figure related algorithm is adopted to generate topology, to improve the importing of on-line operation data breaker in middle, disconnecting link to topology point
Analysis and the speed of topology search；
(3) carry out data check, improve and provide basis for thin consolidation regulating measures while the quality of data；
(4) multi-source data splicing is completed using the method for boundary flow coupling, generate the future that on-line stability analysis calculate
Flow data.
As Fig. 2, described operation of power networks state index is classified and operation of power networks state index is divided into stable state to refer to by evaluation module
Mark and stability index；
Described stability index includes steady stability index and transient state and dynamic indicator.
Described Index For Steady-state includes generator operation index, trend operating index, frequency operating index, voltage operating index
With interconnection operating index；
Described steady stability index includes electromotor margin index, node margin index, circuit and equipment load index, electricity
Force system transmission of electricity index, voltage Index For Steady-state, frequency qualification rate index, harmonic wave qualification rate index and power factor (PF) qualification rate refer to
Mark；
Described transient state and dynamic indicator include generating set track index, small interference stability index, voltage holding capability refer to
Mark, stabilization of power grids limit index and short circuit current index.
The appraisal procedure of new quick positioning failure collection utilizes online operation of power networks data and ultra-short term (15mins
Prediction data afterwards), the safety under online evaluation powernet running status and under fault set under ultra-short term predicted state, give
Go out power grid security and stability index, finally provide the most serious fault under powernet operation trend and electric power netting safe running refers to
Mark.As Fig. 3, described operation of power networks state index classification and evaluation module are according to following flow data by quick positioning failure collection
Method operation of power networks state index is estimated, detailed process is as follows：
(1) adopt Network Voltage Stability nargin as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state
Property；
(2) adopt key sections Total transfer capability as the peace of the safety and stability metrics evaluation electrical network of operation of power networks state
Quan Xing；
(3) adopt the fault extreme mute time as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state
Property.
As Fig. 4, described electrical network variation tendency index customization and computing module adopt the index Customization Tool process of hardware and software platform
The customization index that Quadratic customization obtains；Described index Customization Tool is Formula Solution parser.
Described Formula Solution parser includes client-side interface, serviced component, data interface assembly and Formula Parsing assembly；
Described client-side interface is service call interface, by sending service number request service, after the completion of service, receives
The result of calculation fed back by service end；
Described serviced component and data interface assembly, Formula Parsing assembly collectively form service end, and serviced component is responsible for joining
Put the initialization of result of calculation and the communication of client-side interface, the caching of analytic formula and Formula Parsing call before scheduling
Work；
Described data interface assembly is pressed specified format from different data sources and is read data, or the data by specified format
Write different data sources；
Described Formula Parsing assembly includes morphology resolver, grammar parser and grammar explanation device；Described morphology resolver
Original formula character string parsing is to calculate symbol string sequence, described grammar parser is to take out by calculating symbol string sequence analysis
As syntax tree, described abstract syntax tree as the input of grammar explanation device, incoming number when being called in conjunction with Formula Parsing assembly
Explain execution formula according to source data relation information, generate result of calculation.
Described electrical network variation tendency index display module adopts the real-time platform of double net two servers, by Layering manifestation list
Unit is shown to the overall operation state of power system；Described Layering manifestation unit includes ground floor display unit, the second layer
Display unit and third layer display unit.
Described ground floor display unit passes through the classification indicators based on real-time operating conditions for the structure and based on fuzzy clustering
Overall warning index, the general safety running status of objective evaluation power system；Bus in visualization system is virtual mother
Line, for the possible multistage busbar voltage of dynamic representation；
Described second layer display unit shows macro-data analysis result of problems, and analysis result includes section tide
Stream, the low frequency oscillation of critical circuits, N I fault scanning and sensitive analysis result；
Third layer display unit shows the concrete data of equipment in power system by way of label.
Dispatcher is after having understood the overall situation of system it is sometimes desirable to carry out to certain concrete equipment data point
Analysis, therefore all devices of visualization system can show concrete data by way of label.Here adopt voltage contour
Line, to show busbar voltage, calculates the magnitude of voltage at non-bus using distance weighted method, thus discrete voltage
Color is converted into continuous voltage coloring.Good to the voltage's distribiuting problem display effect of large-scale power system.
Shown active and idle by the way of superposition arrow on power transmission line, wherein direction of arrow correspondence is active and idle
Trend, the speed of arrow size and flowing reflects active and idle several locations.Meanwhile, shown using the thought of percent pie chart and high line
The load factor on timberline road.In order to when solving that in ultra-large power system, circuit is intensive, arrow, percentage pie chart, equal pitch contour are intensive
Problem it is proposed that control threshold values thought, that is, circuit active, idle exceed setting with load factor threshold values when just show corresponding
Arrow, percent pie chart and load equal pitch contour.Using display transformator, the capacity of electromotor and reactive apparatus and standby feelings
Condition.Longitudinal dimension overall length is used for showing total capacity, wherein one segment table shows existing active power, and a segment table shows maintenance, another segment table
Show spare condition.Every section of different color of employing represents.Low-frequency oscillation of critical circuits to be represented using the fluctuation of circuit, may be used simultaneously
With the Verbose Mode by partial enlargement analysis waveform.Sensitivity sequencing display, line section combination in any early warning represents, electrical network
N-I fault pre-alarming assessment, under real-time status, the index system of operation of power networks to be represented all by way of 3D.By visualization of information
Concentrate in three dimensions with changing, dispatcher can be made to be easily done concentration and compare, be easy to obtain from compare deeper
The understanding of level.
Existed according to operation of power networks state first based on the electrical network variation tendency aid decision module that trace sensitivity calculates
Line security and stability analysis and the analysis result of early warning stability analysis, pick out the unstability hidden danger of harm power system security, then
By to power system linearisation, calculating the controlled variable of power system and the correlation coefficient of system dangerous amount, finally by correlation
The sequence of coefficient to be adjusted element and its adjustment amplitude of power system with calculating.
Especially it is noted that sensitivity aid decision-making method provides a fast search to the side of related controlled variable
Method, final aid decision result of calculation still needs stability Calculation inspection.Wherein, the critical quantity that Calculation of Sensitivity comprises is divided into
Several classes as follows：
(1) system adjustable amount and its Setup Cost coefficient, including adjustable unit, adjustable reactive-load compensation, or even includes one
Divide load.
(2) unstability hidden danger type and system dangerous amount, unstability hidden danger include disturbing greatly under generator rotor angle unstability, Voltage Instability,
Generator rotor angle unstability under frequency unstability and little interference and voltage stabilization etc., the mechanism of every class unstability hidden danger is all not quite similar, and system is endangered
Danger amount is also inconsistent.
Finally it should be noted that：Above example is only not intended to limit in order to technical scheme to be described, to the greatest extent
Pipe has been described in detail to the present invention with reference to above-described embodiment, and those of ordinary skill in the art should be understood：Still
The specific embodiment of the present invention can be modified or equivalent, and any without departing from spirit and scope of the invention
Modification or equivalent, it all should be covered in the middle of scope of the presently claimed invention.
Claims (9)
1. a kind of online Stability Assessment index system of power system it is characterised in that：Described system includes online data and integrates mould
Block, the classification of operation of power networks state index and evaluation module, the customization of electrical network variation tendency index and computing module, electrical network variation tendency
Index display module and electrical network variation tendency aid decision module；Described online data integrates module will be whole for the trend data receiving
Conjunction obtains following flow data, described operation of power networks state index classification and evaluation module and the customization of electrical network variation tendency index and
Computing module is estimated to operation of power networks state index according to following flow data and index customization respectively, the assessment knot obtaining
Fruit and customization index are all transferred to described electrical network variation tendency index display module, described electrical network variation tendency index display module
Carry out information exchange and electrical network variation tendency aid decision module between, realize the control that power system stability is run；
Described electrical network variation tendency index customization and computing module adopt the index Customization Tool of hardware and software platform fixed through Quadratic
The customization index being obtained；Described index Customization Tool is Formula Solution parser；
Described Formula Solution parser includes client-side interface, serviced component, data interface assembly and Formula Parsing assembly；
Described client-side interface is service call interface, by sending service number request service, after the completion of service, receives by taking
The result of calculation of business end feedback；
Described serviced component and data interface assembly, Formula Parsing assembly collectively form service end, and serviced component is responsible for configuration meter
Calculate the initialization of result and the communication of client-side interface, the caching of analytic formula and Formula Parsing call before scheduling work
Make；
Described data interface assembly is pressed specified format from different data sources and is read data, or the data write by specified format
Different data sources；
Described Formula Parsing assembly includes morphology resolver, grammar parser and grammar explanation device；Described morphology resolver will be former
The formula character string parsing beginning is to calculate symbol string sequence, and it is abstract language that described grammar parser will calculate symbol string sequence analysis
Method tree, described abstract syntax tree as the input of grammar explanation device, incoming data source when being called in conjunction with Formula Parsing assembly
Data relation information explains execution formula, generates result of calculation.
2. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Described trend data
Including current flow data, prediction data and planning data；Described current flow data includes WAMS data and EMS data, institute
Stating prediction data is ultra-short term bus load prediction data, and described planning data includes repair schedule data and generation schedule number
According to.
3. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Described online data
Integrate module and adopt and carry out Data Integration with the following method：
(1) pass through to obtain speed-up ratio using parsing, format analysis and data separating in situ and OpenMP parallel computation, reduce many
Data source read access time；
(2) adopt figure related algorithm to generate topology, with improve the importing of on-line operation data breaker in middle, disconnecting link to topological analysis and
The speed of topology search；
(3) carry out data check, improve and provide basis for thin consolidation regulating measures while the quality of data；
(4) multi-source data splicing is completed using the method for boundary flow coupling, generate the following trend that on-line stability analysis calculate
Data.
4. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Described operation of power networks
Operation of power networks state index is divided into Index For Steady-state and stability index by state index classification and evaluation module；
Described stability index includes steady stability index and transient state and dynamic indicator.
5. the online Stability Assessment index system of power system according to claim 4 it is characterised in that：Described Index For Steady-state
Including generator operation index, trend operating index, frequency operating index, voltage operating index and interconnection operating index；
Described steady stability index includes electromotor margin index, node margin index, circuit and equipment load index, power train
System transmission of electricity index, voltage Index For Steady-state, frequency qualification rate index, harmonic wave qualification rate index and power factor (PF) qualification rate index；
Described transient state and dynamic indicator include generating set track index, small interference stability index, voltage holding capability index, electricity
Net stability limit index and short circuit current index.
6. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Described operation of power networks
State index is classified with evaluation module according to following flow data by the method for quick positioning failure collection to operation of power networks state
Index is estimated, and detailed process is as follows：
(1) adopt Network Voltage Stability nargin as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state；
(2) adopt key sections Total transfer capability as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state
Property；
(3) adopt the fault extreme mute time as the safety of the safety and stability metrics evaluation electrical network of operation of power networks state.
7. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Described electrical network change
Trend indicator display module, using the real-time platform of double net two servers, is transported to the entirety of power system by Layering manifestation unit
Row state is shown；Described Layering manifestation unit includes ground floor display unit, second layer display unit and third layer and shows
Unit.
8. the online Stability Assessment index system of power system according to claim 7 it is characterised in that：Described ground floor shows
Show that unit passes through to build the classification indicators based on real-time operating conditions and the overall warning index based on fuzzy clustering, objective evaluation
The general safety running status of power system；Bus in visualization system is virtual bus, possible for dynamic representation
Multistage busbar voltage；
Described second layer display unit shows macro-data analysis result of problems, and analysis result includes section tidal current, pass
The low frequency oscillation of key circuit, N-I fault scanning and sensitive analysis result；
Third layer display unit shows the concrete data of equipment in power system by way of label.
9. the online Stability Assessment index system of power system according to claim 1 it is characterised in that：Sensitive based on track
Spend the on-line security and stability analysis first according to operation of power networks state for the electrical network variation tendency aid decision module calculating and early warning
The analysis result of stability analysis, picks out the unstability hidden danger of harm power system security, then by power system linearisation,
Calculate the controlled variable of power system and the correlation coefficient of system dangerous amount, the sequence finally by correlation coefficient to obtain with calculating
The element of adjustment power system and its adjustment amplitude.
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| CN104638638B (en) * | 2014-12-29 | 2018-05-08 | 国家电网公司 | A kind of safety on line stable tendency analysis method for bulk power grid |
| KR20160122016A (en) * | 2015-04-13 | 2016-10-21 | 엘에스산전 주식회사 | An apparatus and method for establishing a dynamic security assessment |
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