CN102545208B - Power grid running mode getting method based on frequency response - Google Patents
Power grid running mode getting method based on frequency response Download PDFInfo
- Publication number
- CN102545208B CN102545208B CN201110440787.XA CN201110440787A CN102545208B CN 102545208 B CN102545208 B CN 102545208B CN 201110440787 A CN201110440787 A CN 201110440787A CN 102545208 B CN102545208 B CN 102545208B
- Authority
- CN
- China
- Prior art keywords
- region
- power
- frequency response
- power grid
- mode
- 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.)
- Active
Links
Abstract
The invention provides a power grid running mode getting method based on frequency response, which aims to estimate ability of a power grid for resisting integrated power falling. The method provides a suitable power grid running mode for estimating the ability of the power grid for resisting integrated power falling. The power grid running mode getting method includes dividing regions of the power grid, getting comprehensive indexes for reflecting frequency fluctuation degrees of the various regions, classifying the regions, counting total power change quantity of units of the various regions in corresponding start modes, increasing or reducing starting frequency until the power of the power grid is balanced according to the frequency fluctuation comprehensive indexes, electric system stable restraint conditions and minimum unit running mode restraint conditions, and obtaining the running mode of the power grid. The power grid running mode getting method based on frequency response can meet electric system running restraint conditions, the frequency response of the power grid is severe increasingly when a power falling event occurs, and accordingly estimation of the ability of the power grid for resisting integrated power falling based on the basis of the running mode is more accurate.
Description
Technical field
The invention belongs to power system safety and stability control field, be specifically related to a kind of power system operating mode acquiring method based on frequency response.
Background technology
Electrical network resist concentration power exfoliation ability and power system operating mode closely related, for a network configuration, load is definite electrical network, exist multiple different power system operating mode, because different generators is different on the impact of mains frequency dynamic process, therefore these different power system operating modes are also different on the impact of dynamic process of frequency, for set UFLS scheme, under different power system operating modes, to resist concentration power exfoliation ability not identical yet for electrical network, assessment electrical network is resisted concentration power exfoliation ability and need to be searched out mains frequency the most serious but meet power system operation constraints, comprise scleronomic constraint condition, the operational mode of minimum start-up mode constraints.
Summary of the invention
For overcoming above-mentioned defect, the invention provides a kind of power system operating mode acquiring method based on frequency response, for electrical network, resist concentration power exfoliation ability evaluation problem, the method can be resisted the assessment of concentration power exfoliation ability for electrical network a suitable power system operating mode is provided, described suitable referring to meets power system operation constraints, comprises the minimum unit operation mode of stabilization of power grids constraints and electrical network constraints.
For achieving the above object, the invention provides a kind of power system operating mode acquiring method based on frequency response, its improvements are, said method comprising the steps of:
(1). electrical network is divided into some subnets region;
(2). trend computational analysis;
(3). select region, power is set and comes off and do transient stability and calculate;
(4). ask for the overall target K of each region reflection frequency fluctuation degree, and classified in region;
(5). all kinds of regions aggregate capacity variable quantity under statistical regions start-up mode;
(6). according to the relation of class region aggregate capacity variable quantity, ask for electrical network start-up mode.
In optimal technical scheme provided by the invention, it is to carry out region division by geographical position that the electrical network in described step 1 is divided.
In the second optimal technical scheme provided by the invention, in described step 4, the mathematical formulae of the overall target K of reflection frequency fluctuation degree is K=a* Δ f+b*t1+c*t2, and wherein Δ f, t1, t2 represent respectively three indexs that reflect that frequency dynamic changes: steady state deviation, adjustment time, fall time.
In the 3rd optimal technical scheme provided by the invention, in described step 4, the number of definition selected areas is N, by overall target K size, selected areas is carried out to descending sort, then according to ranking results, selected areas being divided into two parts, is wherein frequency response sensitizing range AreaType1 by the large zone definitions of K value, and the zone definitions that K value is little is the insensitive region AreaType2 of frequency response, if N is even number, the number in the region that the number in the region that K value is large and K value are little is all N/2; Otherwise the number in the region that K value is large is N/2, the number in the region that K value is little is N/2-1, or the number in the little region of K value is N/2, and the number in the region that K value is large is N/2-1.
In the 4th optimal technical scheme provided by the invention, in described step 5, described statistical regions aggregate capacity variable quantity comprises: statistics all arranges maximum start-up mode time domain aggregate capacity recruitment Δ P1 and statistics in each frequency response sensitizing range all arrange the decrease Δ P2 of minimum start-up mode time domain aggregate capacity in the insensitive region of each frequency response.
In the 5th optimal technical scheme provided by the invention, in described step 6, the asking in two kinds of situation of electrical network start-up mode:
Size to Δ P1 and Δ P2 judges,
If Δ P1 > Δ P2, whole minimum start-up modes in the insensitive region of frequency response, frequency response sensitizing range increases start according to frequency fluctuation overall target K, power system stability constraints, minimum unit operation mode constraints, power is changed and reach Δ P2, now obtain the start-up mode of the whole network regional, be required power system operating mode;
If Δ P1 < Δ P2, whole maximum start-up modes in frequency response sensitizing range, start is reduced according to frequency fluctuation overall target K, power system stability constraints, minimum unit operation mode constraints in the insensitive region of frequency response, power is changed and reach Δ P1, now obtain the start-up mode of the whole network regional, be required power system operating mode.
In the 6th optimal technical scheme provided by the invention, described power system stability constraints is: Sij≤Cij, wherein Sij represents j firm power constraint in i region, and Cij represents that j firm power in i region retrains corresponding performance number.
In the 7th optimal technical scheme provided by the invention, the minimum unit operation mode of described electric power system constraints is: Pij >=Gij, wherein Pij represents that in i region, j power plant unit operation mode retrains, and Gij represents the minimum unit operation mode in j power plant in i region.
Compared with the prior art, a kind of power system operating mode acquiring method based on frequency response provided by the invention, can be electrical network resists concentration power exfoliation ability assessment a suitable power system operating mode is provided, this operational mode meets power system operation constraints, if the frequency response of electrical network is serious when generation power comes off event, it is also just more accurate that the net that operational mode based on such is done is resisted the assessment of concentration power exfoliation ability.
Accompanying drawing explanation
Fig. 1 is the power system operating mode acquiring method flow chart based on frequency response.
Embodiment
As shown in Figure 1, the object of the invention is to resist concentration power exfoliation ability evaluation problem for electrical network provides a kind of power system operating mode acquiring method based on frequency response, and the method contains following steps successively:
Step 1, according to electrical network geographical position, electrical network is carried out to region division;
Step 2, based on PSASP software, electrical network is done to trend computational analysis;
Step 3, the chosen area power of the assembling unit are greater than the region of 1000MW, and the power that these regions set gradually 200MW comes off, and based on PSASP software, electrical network are done to transient stability successively and calculate;
Step 4, basis are based on PSASP software transient stability result of calculation, the frequency response of extraction system hub node;
Three indexs that step 5, calculating reflection frequency dynamic change: steady state deviation Δ f, adjustment time t
1, fall time t
2, wherein, steady state deviation refers to the difference of frequency response curve steady-state value and rated frequency value; The adjustment time refers to that frequency response curve starts to change to from frequency and enters the needed time of steady-state value; Refer to that frequency response curve changes to 90% required time from 10% of frequency steady-state value deviation fall time;
Step 6, to the steady state deviation of step 5, adjustment time and fall time being weighted summation, obtain reflecting the overall target K of frequency fluctuation degree, described Index Formula is: K=a* Δ f+b*t
1+ c*t
2wherein can set a=0.5, b=0.3, c=0.2, according to this index size, selected areas is sorted, and according to ranking results, selected areas is equally divided into two parts, the large region of the corresponding K value of frequency response sensitizing range AreaType1, the little region of the corresponding K value of the insensitive region AreaType2 of frequency response;
When step 7, statistics all arrange maximum start-up mode in each frequency response sensitizing range, region aggregate capacity recruitment Δ P1;
When step 8, statistics all arrange minimum start-up mode in the insensitive region of each frequency response, region aggregate capacity decrease Δ P2;
If step 9 Δ P1 > Δ P2, whole minimum start-up modes in the insensitive region of frequency response, frequency response sensitizing range increases start according to frequency fluctuation overall target, power system stability constraints, minimum unit operation mode constraints, power is changed and reach Δ P2, now obtain the start-up mode of the whole network regional, be required power system operating mode.Described power system stability constraints is: S
ij≤ C
ij, S wherein
ijrepresent j firm power constraint in i region, C
ijrepresent that j firm power in i region retrains corresponding performance number; The minimum unit operation mode of described electric power system constraints is: P
ij>=G
ij, P wherein
ijrepresent that in i region, j power plant unit operation mode retrains, G
ijrepresent the minimum unit operation mode in j power plant in i region;
If step 10 Δ P1 < Δ P2, whole maximum start-up modes in frequency response sensitizing range, start is reduced according to frequency fluctuation overall target, power system stability constraints, minimum unit operation mode constraints in the insensitive region of frequency response, power is changed and reach Δ P1, now obtain the start-up mode of the whole network regional, be required power system operating mode.Described power system stability constraints is: S
ij≤ C
ij, S wherein
ijrepresent j firm power constraint in i region, C
ijrepresent that j firm power in i region retrains corresponding performance number; The minimum unit operation mode of described electric power system constraints is: P
ij>=G
ij, P wherein
ijrepresent that in i region, j power plant unit operation mode retrains, G
ijrepresent the minimum unit operation mode in j power plant in i region.
In described step 6, the number of definition overall target K selected areas is N; If N is even number, the number in the region that the number in the region that K value is large and K value are little is all N/2; Otherwise the number in the region that K value is large is N/2, the number in the region that K value is little is N/2-1, or the number in the little region of K value is N/2, and the number in the region that K value is large is N/2-1.
Need statement, content of the present invention and embodiment are intended to prove the practical application of technical scheme provided by the present invention, should not be construed as limiting the scope of the present invention.Those skilled in the art inspired by the spirit and principles of the present invention, can do various modifications, be equal to and replace or improve.But in the protection range that these changes or modification are all awaited the reply in application.
Claims (4)
1. the power system operating mode acquiring method based on frequency response, is characterized in that, said method comprising the steps of:
(1). electrical network is divided into some subnets region;
(2). trend computational analysis;
(3). select region, power is set and comes off and do transient stability and calculate;
(4). ask for the overall target K of each region reflection frequency fluctuation degree, and classified in region;
(5). all kinds of regions aggregate capacity variable quantity under statistical regions start-up mode;
(6). according to the relation of class region aggregate capacity variable quantity, ask for electrical network start-up mode;
In described step (4), the mathematical formulae of the overall target K of reflection frequency fluctuation degree is K=a* Δ f+b*t1+c*t2, and wherein Δ f, t1, t2 represent respectively three indexs that reflect that frequency dynamic changes: steady state deviation, adjustment time, fall time;
In described step (5), described statistical regions aggregate capacity variable quantity comprises: recruitment Δ P1 and statistics that statistics all arranges maximum start-up mode time domain aggregate capacity at each frequency response sensitizing range AreaType1 all arrange the decrease Δ P2 of minimum start-up mode time domain aggregate capacity at the insensitive region AreaType2 of each frequency response;
In described step (6), the asking in two kinds of situation of electrical network start-up mode:
Size to Δ P1 and Δ P2 judges, if Δ P1 > Δ P2, whole minimum start-up modes of the insensitive region AreaType2 of frequency response, frequency response sensitizing range AreaType1 increases start according to frequency fluctuation overall target K, power system stability constraints, minimum unit operation mode constraints, power is changed and reach Δ P2, now obtain the start-up mode of the whole network regional, be required power system operating mode; If Δ P1 < Δ P2, whole maximum start-up modes of frequency response sensitizing range AreaType1, the insensitive region AreaType2 of frequency response reduces start according to frequency fluctuation overall target K, power system stability constraints, minimum unit operation mode constraints, power is changed and reach Δ P1, now obtain the start-up mode of the whole network regional, be required power system operating mode.
2. acquiring method according to claim 1, is characterized in that, it is to carry out region division by geographical position that the electrical network in described step (1) is divided.
3. acquiring method according to claim 1, it is characterized in that, described power system stability constraints is: Sij≤Cij, and wherein Sij represents j firm power constraint in i region, Cij represents that j firm power in i region retrains corresponding performance number.
4. acquiring method according to claim 1, it is characterized in that, the minimum unit operation mode of described electric power system constraints is: Pij >=Gij, wherein Pij represents that in i region, j power plant unit operation mode retrains, and Gij represents the minimum unit operation mode in j power plant in i region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110440787.XA CN102545208B (en) | 2011-12-26 | 2011-12-26 | Power grid running mode getting method based on frequency response |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110440787.XA CN102545208B (en) | 2011-12-26 | 2011-12-26 | Power grid running mode getting method based on frequency response |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102545208A CN102545208A (en) | 2012-07-04 |
CN102545208B true CN102545208B (en) | 2014-09-10 |
Family
ID=46351424
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110440787.XA Active CN102545208B (en) | 2011-12-26 | 2011-12-26 | Power grid running mode getting method based on frequency response |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102545208B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106096285B (en) * | 2016-06-16 | 2018-06-19 | 东北电力大学 | A kind of energy-storage system copes with high wind-powered electricity generation permeability system frequency modulation demand effect assessment method |
CN109301880B (en) * | 2018-11-09 | 2021-06-01 | 国网宁夏电力有限公司 | Method, device and system for determining minimum startup of direct current near zone |
CN112072714B (en) * | 2020-09-10 | 2022-03-15 | 国网湖南省电力有限公司 | Online-calculation-based power system minimum startup mode optimization method |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3722963B2 (en) * | 1997-10-03 | 2005-11-30 | 三菱電機株式会社 | Power converter |
US20070100506A1 (en) * | 2005-10-31 | 2007-05-03 | Ralph Teichmann | System and method for controlling power flow of electric power generation system |
GB2463548B8 (en) * | 2008-09-22 | 2011-08-10 | Responsiveload Ltd | Smart responsive electrical load |
-
2011
- 2011-12-26 CN CN201110440787.XA patent/CN102545208B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN102545208A (en) | 2012-07-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Visconti et al. | Measurement-based load modeling using transfer functions for dynamic simulations | |
Sun et al. | Harmonic contribution evaluation based on the distribution-level PMUs | |
CN110288208B (en) | Comprehensive evaluation method for reliability and economy of radiation type power distribution network | |
CN102593828B (en) | Reliability assessment method for electric distribution network with WTG (wind turbine generator) | |
CN110829444B (en) | Power grid receiving end system emergency load shedding method considering static frequency and voltage characteristics | |
CN111382897A (en) | Transformer area low-voltage trip prediction method and device, computer equipment and storage medium | |
Sun et al. | Cascading failure analysis of power flow on wind power based on complex network theory | |
Zeng et al. | A classification control strategy for energy storage system in microgrid | |
CN102403717A (en) | Method for evaluating severity of power system fault | |
Alzaareer et al. | A new sensitivity approach for preventive control selection in real-time voltage stability assessment | |
CN102545208B (en) | Power grid running mode getting method based on frequency response | |
Hu et al. | Reliability evaluation and weak component identification of±500-kV HVDC transmission systems with double-circuit lines on the same tower | |
CN110569485A (en) | new energy power supply node state vulnerability monitoring method considering new energy power supply output fluctuation | |
Bogovic et al. | Probability‐based approach for parametrisation of traditional underfrequency load‐shedding schemes | |
CN106548265B (en) | Power transmission network reliability assessment method based on cascading failure accident chain search | |
Dai et al. | Fast method to estimate maximum penetration level of wind power considering frequency cumulative effect | |
Koochi et al. | Taxonomy of coherency detection and coherency‐based methods for generators grouping and power system partitioning | |
CN106026118B (en) | The power grid dynamic passive compensation node selecting method of index is replied based on node voltage | |
Cai et al. | Hierarchical under frequency load shedding scheme for inter-connected power systems | |
CN113300373A (en) | Stability margin value prediction method and device based on PRMSE evaluation index | |
Lin et al. | A physical-data combined power grid dynamic frequency prediction methodology based on adaptive neuro-fuzzy inference system | |
Steinkohl et al. | Frequency security constrained control of power electronic‐based generation systems | |
Heckel et al. | Dynamic simulation of an integrated energy system for northern Germany with improved resilience | |
CN108539737A (en) | A kind of power system dynamic equivalence optimization method of Practical | |
Gu et al. | Optimisation for unit restarting sequence considering decreasing trend of unit start‐up efficiency after a power system blackout |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |