CN106155908A - A kind of PAS application performance appraisal procedure and system - Google Patents
A kind of PAS application performance appraisal procedure and system Download PDFInfo
- Publication number
- CN106155908A CN106155908A CN201610571616.3A CN201610571616A CN106155908A CN 106155908 A CN106155908 A CN 106155908A CN 201610571616 A CN201610571616 A CN 201610571616A CN 106155908 A CN106155908 A CN 106155908A
- Authority
- CN
- China
- Prior art keywords
- pas
- flow calculation
- load flow
- application performance
- assessment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application discloses a kind of PAS application performance appraisal procedure and system, the method includes: select the PAS corresponding with presetting Test Strategy to test example;Utilize PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data;Obtain the basic data of EMS internal system under default Test Strategy;Utilize Load flow calculation data and basic data, PAS is carried out application performance assessment, obtain K application performance evaluation index.Visible, the application utilizes the PAS test example corresponding with presetting Test Strategy to carry out Load flow calculation, and obtain the basic data of EMS internal system under above-mentioned default Test Strategy, then utilize Load flow calculation data and above-mentioned basic data that PAS is carried out application performance assessment, obtain corresponding application performance evaluation index, thus achieve the purpose that PAS application performance is estimated.
Description
Technical field
The present invention relates to intelligent grid management and assessment technology field, particularly to a kind of PAS application performance appraisal procedure
And system.
Background technology
Currently, EMS system (EMS, i.e. Energy Management System, energy management system) is in power system
In obtain the management system of wide range of applications.
PAS (i.e. Power System Application Software) is the senior application in EMS system, it is possible to right
Electrical network carries out state estimation, Dispatcher Power Flow calculating and load prediction etc., is the important component part of energy management system.PAS
Application performance directly affects the overall value of energy management system, so, people are in the urgent need to commenting PAS application
Estimate, to obtain the situation about PAS application performance.And how to be estimated PAS application performance is to have to be solved asking at present
Topic.
Summary of the invention
In view of this, it is an object of the invention to provide a kind of PAS application performance appraisal procedure and system, it is achieved that right
The purpose that PAS application performance is estimated.Its concrete scheme is as follows:
A kind of PAS application performance appraisal procedure, including:
The PAS corresponding with default Test Strategy is selected to test example;
Utilize described PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data;
Obtain the basic data of EMS internal system under described default Test Strategy;
Utilize described Load flow calculation data and described basic data, PAS is carried out application performance assessment, obtain K application
Performance Evaluation index, K is positive integer.
Preferably, described default Test Strategy is:
The strategy that node under different time section is accurately assessed;
Or, under different measurement condition, by constructing the plan that PAS is tested by different Load flow calculation environment
Slightly;
Or, different nodes are carried out over time and space the strategy of error analysis;
Wherein, described measurement condition includes considering that the Load flow calculation analysis of Static Load model, different node type are arranged
In the case of Load flow calculation analysis, N-1 static security analysis and load growth in the case of Load flow calculation analysis.
Preferably, described Load flow calculation data include node voltage, line current, branch road active power, branch road is idle merit
Rate and power system network loss.
Preferably, described K application performance evaluation index includes Load flow calculation moon qualification rate, and/or power flow algorithm is stable
Property, and/or average section integrated computing error, and/or key node dynamic mode range estimation value, and/or trend error pole
Difference index, and/or average calculation times.
Preferably, PAS application performance appraisal procedure, also include:
Based on described K application performance evaluation index, build layering assessment models;
Utilize described layering assessment models, PAS is carried out comprehensive assessment;
Wherein, described layering assessment models includes destination layer, rule layer and indicator layer;Element in described destination layer is
PAS application comprehensive assessment result;Element in described rule layer include node voltage, branch road active power, branch road reactive power,
Power system network loss, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in described indicator layer includes described K
Individual application performance evaluation index.
Preferably, described utilize described layering assessment models, PAS is carried out the process of comprehensive assessment, including:
According to the significance level to the element in described rule layer of the element in described indicator layer, determine in described indicator layer
The most described rule layer of element in the weight of element, obtain first kind weight;
According to the significance level to the element in described destination layer of the element in described rule layer, determine in described rule layer
The most described destination layer of element in the weight of element, obtain Equations of The Second Kind weight;
In conjunction with described first kind weight and described Equations of The Second Kind weight, calculate the most described target of the element in described indicator layer
The weight of the element in Ceng, obtains the 3rd class weight;
According to described 3rd class weight, determine that in described indicator layer, the entirety of PAS is answered by each application performance evaluation index
With the percentage contribution of Performance Evaluation.
The invention also discloses a kind of PAS application performance assessment system, including:
Example selects module, for selecting the PAS corresponding with presetting Test Strategy to test example;
Load flow calculation module, is used for utilizing described PAS test example to carry out Load flow calculation, obtains corresponding Load flow calculation number
According to;
Basic data acquisition module, for obtaining the basic data of EMS internal system under described default Test Strategy;
Performance estimation module, is used for utilizing described Load flow calculation data and described basic data, PAS is carried out application performance
Assessment, obtains K application performance evaluation index, and K is positive integer.
Preferably, described default Test Strategy is:
The strategy that node under different time section is accurately assessed;
Or, under different measurement condition, by constructing the plan that PAS is tested by different Load flow calculation environment
Slightly;
Or, different nodes are carried out over time and space the strategy of error analysis;
Wherein, described measurement condition includes considering that the Load flow calculation analysis of Static Load model, different node type are arranged
In the case of Load flow calculation analysis, N-1 static security analysis and load growth in the case of Load flow calculation analysis.
Preferably, described K application performance evaluation index includes Load flow calculation moon qualification rate, and/or power flow algorithm is stable
Property, and/or average section integrated computing error, and/or key node dynamic mode range estimation value, and/or trend error pole
Difference index, and/or average calculation times.
Preferably, described PAS application performance assessment system, also include:
Assessment models builds module, for based on described K application performance evaluation index, builds layering assessment models;
Comprehensive assessment module, is used for utilizing described layering assessment models, PAS is carried out comprehensive assessment;
Wherein, described layering assessment models includes destination layer, rule layer and indicator layer;Element in described destination layer is
PAS application comprehensive assessment result;Element in described rule layer include node voltage, branch road active power, branch road reactive power,
Power system network loss, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in described indicator layer includes described K
Individual application performance evaluation index.
In the present invention, PAS application performance appraisal procedure includes: select the PAS corresponding with presetting Test Strategy to test example;
Utilize PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data;Obtain EMS system under default Test Strategy
Basic data within Tong;Utilize Load flow calculation data and basic data, PAS is carried out application performance assessment, obtain K application
Performance Evaluation index, K is positive integer.Visible, the present invention utilizes the PAS test example corresponding with presetting Test Strategy to carry out trend
Calculate, and obtain the basic data of EMS internal system under above-mentioned default Test Strategy, then utilize Load flow calculation data and above-mentioned
Basic data carries out application performance assessment to PAS, has obtained corresponding application performance evaluation index, and thus achieving should to PAS
The purpose being estimated by performance.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to
The accompanying drawing provided obtains other accompanying drawing.
Fig. 1 is a kind of PAS application performance appraisal procedure flow chart disclosed in the embodiment of the present invention;
Fig. 2 is a kind of PAS application performance assessment system structure schematic diagram disclosed in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
The embodiment of the invention discloses a kind of PAS application performance appraisal procedure, shown in Figure 1, the method includes:
Step S11: select the PAS corresponding with presetting Test Strategy to test example.
It is understood that the present embodiment can have multiple default Test Strategy, and each default Test Strategy is equal
Corresponding with a kind of PAS test example.Wherein, PAS test example is to develop based on the most predetermined default Test Strategy
Arrive, that is, default Test Strategy here serves guidance technology personnel carries out the effect of PAS test example exploitation.
Step S12: utilize above-mentioned PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data.
That is, make PAS carry out Load flow calculation according to above-mentioned PAS test example, obtain above-mentioned Load flow calculation data.
Step S13: obtain the basic data of EMS internal system under default Test Strategy.
It should be noted that the basic data of above-mentioned EMS internal system includes PAS internal data, BPA internal data
(BPA, i.e. Bonneville Power Administration) and SCADA internal data (SCADA, i.e. Supervisory
Control And Data Acquisition)。
Step S14: utilize above-mentioned Load flow calculation data and above-mentioned basic data, PAS is carried out application performance assessment, obtains
K application performance evaluation index, K is positive integer.
In the embodiment of the present invention, PAS application performance appraisal procedure includes: select the PAS corresponding with presetting Test Strategy to survey
Tentative calculation example;Utilize PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data;Obtain at default Test Strategy
The basic data of lower EMS internal system;Utilize Load flow calculation data and basic data, PAS is carried out application performance assessment, obtains
K application performance evaluation index, K is positive integer.Visible, the embodiment of the present invention utilizes the PAS corresponding with presetting Test Strategy to survey
Tentative calculation example carries out Load flow calculation, and obtains the basic data of EMS internal system under above-mentioned default Test Strategy, then utilizes trend
Calculate data and above-mentioned basic data carries out application performance assessment to PAS, obtain corresponding application performance evaluation index, thus
Achieve the purpose that PAS application performance is estimated.
The embodiment of the invention discloses a kind of concrete PAS application performance appraisal procedure, relative to a upper embodiment, this reality
Execute example and technical scheme has been made further instruction and optimization.Concrete:
In upper embodiment step S11, default Test Strategy is specifically as follows:
The strategy that node under different time section is accurately assessed;Or, under different measurement condition, pass through
Construct the strategy that PAS is tested by different Load flow calculation environment;Or, different nodes are carried out over time and space
The strategy of error analysis;
Wherein, above-mentioned measurement condition specifically can include considering the Load flow calculation analysis of Static Load model, different node
The Load flow calculation analysis in the case of Load flow calculation analysis, N-1 static security analysis and load growth under type facilities.
In upper embodiment step S12, utilize the Load flow calculation data tool that PAS test example obtains after carrying out Load flow calculation
Body includes node voltage, line current, branch road active power, branch road reactive power and power system network loss.
Further, K application performance evaluation index in upper embodiment step S14 specifically can include Load flow calculation
Month qualification rate, and/or power flow algorithm stability, and/or average section integrated computing error, and/or key node dynamic mode
Range estimation value, and/or trend error extreme difference index, and/or average calculation times.
Wherein, the above-mentioned Load flow calculation moon qualification rate expression formula be:
In formula, ncRepresent moon Load flow calculation convergence number of times, NmRepresent the total degree of moon Load flow calculation.
It addition, the expression formula of above-mentioned power flow algorithm stability is:
In formula, nmIt is the total degree of a month Load flow calculation,The iteration time that i & lt calculates is calculated for Dispatcher Power Flow
Number,For checking the iterations of power flow algorithm.The stability of Load flow calculation is reacted in the stability of iterative computation, because of
The iterations of this Load flow calculation and whether restrain the index that can characterize Load flow calculation performance.
Further, the expression formula of above-mentioned average section COMPREHENSIVE CALCULATING calculating error is:
Wherein,
In both the above formula, n represents moon calculation times or year calculation times, nnodeFor total number of system node, Emi
Relative error and E for voltage magnitudeaiFor the relative error of voltage phase angle, nbrFor the total circuitry number of system, EpiFor active power phase
To error, EqiFor reactive power relative error.
Secondly, the calculating process of above-mentioned key node dynamic mode range estimation value is as follows: extract in a period of time, a certain
The Dispatcher Power Flow result of calculation (voltage magnitude, voltage phase angle) of node, deposits sequentially in time by it, constitutes the time
SequenceExtract the marginal point of this sequence simultaneously.The feature of sequence edge point is in time neighborhood,
The trend of sequence of points there occurs significantly change.The existing four kinds of classical edge detection operators that calculate of marginal point are split at image
In be applied, i.e. Roberts boundary operator, Sobel edge edge operator, Prewitt boundary operator and Kirsch boundary operator.By
It is typically the curve of low noise in PAS computation result, therefore uses precipitous low noise image response best
Robert boundary operator calculates.Assume sequence XAMarginal point collection be combined intoWherein 1≤i1< i2< ... < ik
≤ n, then this sequence can be shown as with segmentation table:
Extract this node simultaneously and constitute X in the result of calculation checking power flow algorithmB=< xB1,xB2,...,xBn> and it is corresponding
Marginal point set.Can be to sequence X according to index calculated belowACarry out the assessment of dynamic mode distance:
It is assumed that PA1(xA1,tA1) and PA2(xA2,tA2) it is respectively sequence XAMarginal point, l1For a PA1And PA2Length along path
Degree, in like manner l2For sequence XBMidpoint PB1And PB2Line segment length.Embodying with l of line segment length1As a example by,k1And k2It is then the slope of corresponding line segment, slope
Further, the calculating process of above-mentioned trend error extreme difference index is as follows: use maximum likelihood method estimation difference
Average value mu and standard deviation sigma, thus realize the detection of abnormal voltage outlier, it is achieved voltage is calculated the bigger node of deviation
Follow the trail of, wherein,
In above-mentioned two formula, xiFor voltage magnitude or the error amount of phase angle, n is the number of node.Meet in error
In the case of normal distribution, μ ± 3, region σ comprises the data of 99.7%.Error amount is more than μ+3 σ, and the value less than μ-3 σ is screened
For outlier, and add up the maximum i.e. trend error extreme difference index of outlier number and error.
It addition, the expression formula of above-mentioned average calculation times is:
In formula, NmRepresent the total degree of moon Load flow calculation, tiIn representing one month during calculating corresponding to i & lt Load flow calculation
Between.
In the present embodiment, PAS application performance appraisal procedure can further include:
Based on above-mentioned K application performance evaluation index, build layering assessment models, then utilize layering assessment models, right
PAS carries out comprehensive assessment;
Wherein, above-mentioned layering assessment models specifically includes destination layer, rule layer and indicator layer;Wherein, the unit in destination layer
Element is PAS application comprehensive assessment result;Element in rule layer include node voltage, branch road active power, branch road reactive power,
Power system network loss, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in indicator layer includes above-mentioned K
Individual application performance evaluation index.
Concrete, above-mentioned utilization layering assessment models, PAS is carried out the process of comprehensive assessment, comprises the following steps S21 extremely
Step S24;Wherein,
Step S21: according to the significance level of the element in the then layer of the element aligned in indicator layer, the unit in agriculture products layer
The weight of the element in element rule layer relatively, obtains first kind weight.
Step S22: according to the significance level to the element in destination layer of the element in rule layer, determine the unit in rule layer
The weight of the element in element relative target layer, obtains Equations of The Second Kind weight.
Step S23: combine first kind weight and Equations of The Second Kind weight, the unit in element relative target layer in parameter layer
The weight of element, obtains the 3rd class weight.
It should be noted that above-mentioned steps S23 is mainly by solving the group between first kind weight and Equations of The Second Kind weight
Close weight and obtain the 3rd class weight.For example, it is assumed that element A is K1 relative to the weight of B element in rule layer in indicator layer, and accurate
Then in layer, in B element relative target layer, the weight of C element is K2, then the weight of C element in element A relative target layer in indicator layer
It is specially the combining weights K3 between weight K1 and weight K2, that is, K3=K1*K2.
Step S24: according to the 3rd class weight, in agriculture products layer, each application performance evaluation index should to the entirety of PAS
With the percentage contribution of Performance Evaluation.
Accordingly, the embodiment of the invention also discloses a kind of PAS application performance assessment system, shown in Figure 2, this system
Including:
Example selects module 21, for selecting the PAS corresponding with presetting Test Strategy to test example;
Load flow calculation module 22, is used for utilizing above-mentioned PAS test example to carry out Load flow calculation, obtains corresponding Load flow calculation
Data;
Basic data acquisition module 23, for obtaining the basic data of EMS internal system under above-mentioned default Test Strategy;
Performance estimation module 24, is used for utilizing Load flow calculation data and basic data, PAS is carried out application performance assessment,
Obtaining K application performance evaluation index, K is positive integer.
Visible, the embodiment of the present invention utilizes the PAS test example corresponding with presetting Test Strategy to carry out Load flow calculation, and obtains
Take the basic data of EMS internal system under above-mentioned default Test Strategy, then utilize Load flow calculation data and above-mentioned basic data
PAS is carried out application performance assessment, has obtained corresponding application performance evaluation index, thus achieved and PAS application performance is entered
The purpose of row assessment.
Wherein, above-mentioned default Test Strategy is specifically as follows: accurately assess the node under different time section
Strategy;Or, under different measurement condition, by constructing the strategy that PAS is tested by different Load flow calculation environment;
Or, different nodes are carried out over time and space the strategy of error analysis;
Wherein, above-mentioned measurement condition includes considering that the Load flow calculation analysis of Static Load model, different node type are arranged
In the case of Load flow calculation analysis, N-1 static security analysis and load growth in the case of Load flow calculation analysis.
It addition, above-mentioned K application performance evaluation index includes Load flow calculation moon qualification rate, and/or power flow algorithm stability,
And/or average section integrated computing error, and/or key node dynamic mode range estimation value, and/or trend error extreme difference refer to
Mark, and/or average calculation times.
In the present embodiment, PAS application performance assessment system can further include:
Assessment models builds module, for based on above-mentioned K application performance evaluation index, builds layering assessment models;
Comprehensive assessment module, is used for utilizing layering assessment models, PAS is carried out comprehensive assessment;
Wherein, above-mentioned layering assessment models includes destination layer, rule layer and indicator layer;Element in destination layer is that PAS should
Use comprehensive assessment result;Element in rule layer includes node voltage, branch road active power, branch road reactive power, power system
Network loss, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in indicator layer includes that above-mentioned K application performance is commented
Estimate index.
The corresponding contents disclosed in previous embodiment is referred to about the work process that above-mentioned modules is more specific,
This no longer repeats.
Finally, in addition it is also necessary to explanation, in this article, the relational terms of such as first and second or the like be used merely to by
One entity or operation separate with another entity or operating space, and not necessarily require or imply these entities or operation
Between exist any this reality relation or order.And, term " includes ", " comprising " or its any other variant meaning
Containing comprising of nonexcludability, so that include that the process of a series of key element, method, article or equipment not only include that
A little key elements, but also include other key elements being not expressly set out, or also include for this process, method, article or
The key element that equipment is intrinsic.In the case of there is no more restriction, statement " including ... " key element limited, do not arrange
Except there is also other identical element in including the process of described key element, method, article or equipment.
Above a kind of PAS application performance appraisal procedure provided by the present invention and system are described in detail, herein
In apply specific case principle and the embodiment of the present invention be set forth, the explanation of above example is only intended to side
Assistant solves method and the core concept thereof of the present invention;Simultaneously for one of ordinary skill in the art, according to the think of of the present invention
Thinking, the most all will change, in sum, it is right that this specification content should not be construed as
The restriction of the present invention.
Claims (10)
1. a PAS application performance appraisal procedure, it is characterised in that including:
The PAS corresponding with default Test Strategy is selected to test example;
Utilize described PAS test example to carry out Load flow calculation, obtain corresponding Load flow calculation data;
Obtain the basic data of EMS internal system under described default Test Strategy;
Utilize described Load flow calculation data and described basic data, PAS is carried out application performance assessment, obtain K application performance
Evaluation index, K is positive integer.
PAS application performance appraisal procedure the most according to claim 1, it is characterised in that described default Test Strategy is:
The strategy that node under different time section is accurately assessed;
Or, under different measurement condition, by constructing the strategy that PAS is tested by different Load flow calculation environment;
Or, different nodes are carried out over time and space the strategy of error analysis;
Wherein, described measurement condition includes considering the Load flow calculation analysis of Static Load model, different node type facilities
Under Load flow calculation analysis, N-1 static security analysis and load growth in the case of Load flow calculation analysis.
PAS application performance appraisal procedure the most according to claim 1, it is characterised in that described Load flow calculation data include
Node voltage, line current, branch road active power, branch road reactive power and power system network loss.
PAS application performance appraisal procedure the most according to claim 1, it is characterised in that described K application performance assessment refers to
Mark includes Load flow calculation moon qualification rate, and/or power flow algorithm stability, and/or average section integrated computing error, and/or closes
Key node dynamic mode range estimation value, and/or trend error extreme difference index, and/or average calculation times.
5. according to the PAS application performance appraisal procedure described in any one of Claims 1-4, it is characterised in that also include:
Based on described K application performance evaluation index, build layering assessment models;
Utilize described layering assessment models, PAS is carried out comprehensive assessment;
Wherein, described layering assessment models includes destination layer, rule layer and indicator layer;Element in described destination layer is that PAS should
Use comprehensive assessment result;Element in described rule layer includes node voltage, branch road active power, branch road reactive power, electric power
System losses, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in described indicator layer includes that described K is answered
Use Performance Evaluation index.
PAS application performance appraisal procedure the most according to claim 5, it is characterised in that described utilize described layering assessment
Model, carries out the process of comprehensive assessment to PAS, including:
According to the significance level to the element in described rule layer of the element in described indicator layer, determine the unit in described indicator layer
The weight of the element in the most described rule layer of element, obtains first kind weight;
According to the significance level to the element in described destination layer of the element in described rule layer, determine the unit in described rule layer
The weight of the element in the most described destination layer of element, obtains Equations of The Second Kind weight;
In conjunction with described first kind weight and described Equations of The Second Kind weight, calculate in the most described destination layer of the element in described indicator layer
The weight of element, obtain the 3rd class weight;
According to described 3rd class weight, determine each application performance evaluation index overall applicability to PAS in described indicator layer
The percentage contribution that can assess.
7. a PAS application performance assessment system, it is characterised in that including:
Example selects module, for selecting the PAS corresponding with presetting Test Strategy to test example;
Load flow calculation module, is used for utilizing described PAS test example to carry out Load flow calculation, obtains corresponding Load flow calculation data;
Basic data acquisition module, for obtaining the basic data of EMS internal system under described default Test Strategy;
Performance estimation module, is used for utilizing described Load flow calculation data and described basic data, PAS is carried out application performance and comments
Estimating, obtain K application performance evaluation index, K is positive integer.
PAS application performance the most according to claim 7 assessment system, it is characterised in that described default Test Strategy is:
The strategy that node under different time section is accurately assessed;
Or, under different measurement condition, by constructing the strategy that PAS is tested by different Load flow calculation environment;
Or, different nodes are carried out over time and space the strategy of error analysis;
Wherein, described measurement condition includes considering the Load flow calculation analysis of Static Load model, different node type facilities
Under Load flow calculation analysis, N-1 static security analysis and load growth in the case of Load flow calculation analysis.
PAS application performance the most according to claim 7 assessment system, it is characterised in that described K application performance assessment refers to
Mark includes Load flow calculation moon qualification rate, and/or power flow algorithm stability, and/or average section integrated computing error, and/or closes
Key node dynamic mode range estimation value, and/or trend error extreme difference index, and/or average calculation times.
10. assess system according to the PAS application performance described in any one of claim 7 to 9, it is characterised in that also include:
Assessment models builds module, for based on described K application performance evaluation index, builds layering assessment models;
Comprehensive assessment module, is used for utilizing described layering assessment models, PAS is carried out comprehensive assessment;
Wherein, described layering assessment models includes destination layer, rule layer and indicator layer;Element in described destination layer is that PAS should
Use comprehensive assessment result;Element in described rule layer includes node voltage, branch road active power, branch road reactive power, electric power
System losses, the convergence of Load flow calculation and the iterations of Load flow calculation;Element in described indicator layer includes that described K is answered
Use Performance Evaluation index.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610571616.3A CN106155908B (en) | 2016-07-18 | 2016-07-18 | A kind of PAS application performance appraisal procedure and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610571616.3A CN106155908B (en) | 2016-07-18 | 2016-07-18 | A kind of PAS application performance appraisal procedure and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106155908A true CN106155908A (en) | 2016-11-23 |
CN106155908B CN106155908B (en) | 2018-12-21 |
Family
ID=58060348
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610571616.3A Active CN106155908B (en) | 2016-07-18 | 2016-07-18 | A kind of PAS application performance appraisal procedure and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106155908B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110955591A (en) * | 2019-10-18 | 2020-04-03 | 文思海辉智科科技有限公司 | System performance evaluation method and device, computer equipment and storage medium |
CN111177012A (en) * | 2020-01-06 | 2020-05-19 | 广东电科院能源技术有限责任公司 | PAS system evaluation method and device of power system |
CN111523080A (en) * | 2020-04-10 | 2020-08-11 | 广东电网有限责任公司电力科学研究院 | PAS system comprehensive evaluation method of power system and related device |
CN112749099A (en) * | 2020-12-25 | 2021-05-04 | 广东电网有限责任公司电力科学研究院 | PAS application performance evaluation method, system, terminal equipment and medium |
CN112818052A (en) * | 2021-02-25 | 2021-05-18 | 云南电网有限责任公司电力科学研究院 | Abnormal voltage data detection method and device |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008004043A (en) * | 2006-06-26 | 2008-01-10 | Univ Of Tsukuba | Performance comparison display device to numeral calculation algorithm |
CN103872681A (en) * | 2014-03-25 | 2014-06-18 | 国家电网公司 | Online real-time loop closing method based on integration of major network and distribution network |
-
2016
- 2016-07-18 CN CN201610571616.3A patent/CN106155908B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008004043A (en) * | 2006-06-26 | 2008-01-10 | Univ Of Tsukuba | Performance comparison display device to numeral calculation algorithm |
CN103872681A (en) * | 2014-03-25 | 2014-06-18 | 国家电网公司 | Online real-time loop closing method based on integration of major network and distribution network |
Non-Patent Citations (1)
Title |
---|
尤毅等: "主动配电网优化调度策略研究", 《电力***自动化》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110955591A (en) * | 2019-10-18 | 2020-04-03 | 文思海辉智科科技有限公司 | System performance evaluation method and device, computer equipment and storage medium |
CN110955591B (en) * | 2019-10-18 | 2022-01-14 | 文思海辉智科科技有限公司 | System performance evaluation method and device, computer equipment and storage medium |
CN111177012A (en) * | 2020-01-06 | 2020-05-19 | 广东电科院能源技术有限责任公司 | PAS system evaluation method and device of power system |
CN111523080A (en) * | 2020-04-10 | 2020-08-11 | 广东电网有限责任公司电力科学研究院 | PAS system comprehensive evaluation method of power system and related device |
CN112749099A (en) * | 2020-12-25 | 2021-05-04 | 广东电网有限责任公司电力科学研究院 | PAS application performance evaluation method, system, terminal equipment and medium |
CN112818052A (en) * | 2021-02-25 | 2021-05-18 | 云南电网有限责任公司电力科学研究院 | Abnormal voltage data detection method and device |
Also Published As
Publication number | Publication date |
---|---|
CN106155908B (en) | 2018-12-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106155908A (en) | A kind of PAS application performance appraisal procedure and system | |
CN104134999B (en) | Distribution network based on multi-data source measures the practical method of calculation of efficiency analysis | |
Visconti et al. | Measurement-based load modeling using transfer functions for dynamic simulations | |
Kim et al. | Fast and reliable estimation of composite load model parameters using analytical similarity of parameter sensitivity | |
CN101635457B (en) | Electric network parameter estimation method based on parameter sensitivity of state estimation residual error | |
CN101958543B (en) | Method for estimating three-phase impedance-free nonlinear multi-source state of transformer substation | |
CN105552904A (en) | Bilinearization-based all-distributed robust state estimation method for multi-regional power network | |
CN106295911A (en) | A kind of grid branch parameter evaluation method based on chromatographic assays | |
CN104600699A (en) | Power distribution network structure estimation method based on mixed integer quadratic programming model | |
CN106228459A (en) | Equivalent reliability estimation method based on Monte Carlo | |
CN104156542A (en) | Implicit-projection-based method for simulating stability of active power distribution system | |
CN107453484A (en) | A kind of SCADA data calibration method based on WAMS information | |
CN106026086A (en) | Power grid operation state dynamic estimation method | |
CN104009472B (en) | A kind of State Estimation for Distribution Network based on cooperative particle swarm | |
CN114814708A (en) | Electric energy meter metering error estimation method and device based on floating line loss model | |
CN109639736A (en) | A kind of Power system state estimation malicious attack detection and localization method based on OPTICS | |
CN106443276A (en) | Radio interference computing method and radio interference computing system for alternating-current high-voltage multi-loop electric transmission line | |
CN106372440B (en) | A kind of adaptive robust state estimation method of the power distribution network of parallel computation and device | |
CN107482778A (en) | A kind of method and system of improved power system health status monitoring | |
CN106786536A (en) | Consider the method for estimating state of outer net extended Ward equivalent | |
CN102570457B (en) | Static equivalence method for two-port external network based on measurement data of internal network | |
Chouhan et al. | A literature review on optimal placement of PMU and voltage stability | |
CN103001220B (en) | Optimal matching loop power based method for identifying topological structures of power distribution network | |
CN107171327A (en) | A kind of Power Network Status Estimation method and apparatus | |
Chen | Cascaded stalling of induction motors in fault-induced delayed voltage recovery (FIDVR) |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |