CN110401211A - Energy-accumulating power station operative scenario recognition methods based on feature extraction - Google Patents
Energy-accumulating power station operative scenario recognition methods based on feature extraction Download PDFInfo
- Publication number
- CN110401211A CN110401211A CN201910682743.4A CN201910682743A CN110401211A CN 110401211 A CN110401211 A CN 110401211A CN 201910682743 A CN201910682743 A CN 201910682743A CN 110401211 A CN110401211 A CN 110401211A
- Authority
- CN
- China
- Prior art keywords
- energy
- power station
- grade
- accumulating power
- index
- 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
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Inverter Devices (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The energy-accumulating power station operative scenario recognition methods based on feature extraction that the invention discloses a kind of, including idle power output needed for active power output needed for active power output, frequency modulation needed for calculating peak regulation and pressure regulation;It calculates the Validity Index of energy-accumulating power station and determines that the capacity of energy-accumulating power station and inverter capacity participate in energy-accumulating power station the validity of each scene;Calculate the emergency index and importance sequenencing index of energy-accumulating power station;Determine that energy-accumulating power station participates in the priority of each scene;Determine the groundwork scene and back work scene of energy-accumulating power station instantly.The present invention can identify and judge the operative scenario of energy-accumulating power station, simultaneously can also judgement based on operative scenario and identification make the power output control of corresponding energy-accumulating power station, to ensure that the reliable and stable operation of power grid, and the method for the present invention high reliablity, it is scientific and reasonable, and effect is preferable.
Description
Technical field
The energy-accumulating power station operative scenario recognition methods based on feature extraction that present invention relates particularly to a kind of.
Background technique
With the development of economic technology, electric energy has become essential secondary energy sources in people's production and life,
Endless convenience is brought to people's production and life.
Meanwhile as global energy internet is rapidly growing, distributed generation resource accesses the loads such as ratio raising, electric car
Access amount increases, and the synthetic load characteristic complexity of local distribution network increases severely, and thereby results in distribution network load peak-valley difference and increases, is electric
Press the series of problems such as deterioration, power supply reliability reduction and distributed generation resource consumption difficulty.Traditional solution such as increase-volume changes
The methods of make there are performance difficulty or it is less economical the problems such as, and battery energy storage system have configuration flexibly, schedulability it is high
Feature participates in the application of power distribution network peak regulation using it, above-mentioned series of problems can be effectively relieved.
It is most widely used in peak regulation scene due to the energy space-time translation feature of battery energy storage system, in addition to peak regulation,
Energy-storage system may be summarized to be using most occasions: frequency modulation, backup power source, power tracking and inhibition are flashed, wherein also have by
The application range of energy storage is included in pressure regulation.
Peak load shifting is plan type control strategy, the planning of energy storage charge and discharge can be carried out according to the curve predicted, therefore
Need the period of peak load shifting relatively fixed in one day, the load setting energy storage except peak load shifting is in idle state.
Due to the fluctuation and unpredictability of frequency, the time of effect, place are uncertain, the number for the frequency modulation of being carried out in one day
It is limited, if energy-accumulating power station will be substantially reduced as its utilization rate of the equipment of dull frequency, also, generally require needed for the scene of frequency modulation
Stored energy capacitance it is larger, if energy-accumulating power station is configured its capacity applications in frequency modulation, will affect the economy of energy-storage system.For storage
Energy power station participates in pressure regulation scene, the equally low problem of the utilization rate with above-mentioned frequency modulation energy-accumulating power station, and pressure regulation is that progress is idle
Support, and energy-accumulating power station is to active power output, if this will cause to store up using pressure regulation as the purpose of energy-accumulating power station access power grid
Can power station without participation, be only inverter at energy storage node in action.
Currently, existing method can only participate in the applied fields such as peak regulation, primary frequency modulation, frequency modulation frequency modulation, pressure regulation to energy-accumulating power station
Scape carries out single scene planning, has no the application that scientific reliable method participates in more scenes to energy-accumulating power station and studies.
Summary of the invention
The purpose of the present invention is to provide a kind of high reliablity, scientific and reasonable and effects preferably based on the storage of feature extraction
It can power station operative scenario recognition methods.
This energy-accumulating power station operative scenario recognition methods based on feature extraction provided by the invention, includes the following steps:
S1. it according to the real time data of power grid and established peak regulation, frequency modulation, pressure regulation strategy, is calculated needed for peak regulation
Idle power output needed for active power output needed for active power output, frequency modulation and pressure regulation;
S2. the Validity Index of energy-accumulating power station is calculated, so that it is determined that the capacity of energy-accumulating power station and inverter capacity are for storage
Energy power station participates in the validity of each scene;
S3. the emergency index of energy-accumulating power station is calculated;
S4. the importance sequenencing index of energy-accumulating power station is calculated;
S5. according to the importance sequenencing index of the emergency index of step S3 and step S4, it is each to determine that energy-accumulating power station participates in
The priority of scene;
S6. the priority result obtained by step S5 determines energy-accumulating power station groundwork scene instantly and backman
Make scene.
The energy-accumulating power station operative scenario recognition methods based on feature extraction, further includes following steps:
S7. nothing needed for active power output, pressure regulation needed for active power output, frequency modulation according to needed for the peak regulation that step S1 is obtained
The energy-accumulating power station that function power output, the apparent energy of energy-accumulating power station inverter and step S6 are obtained groundwork scene instantly and auxiliary
Operative scenario is helped, determines the active power output and idle power output of energy-accumulating power station.
The Validity Index of energy-accumulating power station is calculated described in step S2, so that it is determined that the capacity of energy-accumulating power station and inverter hold
Amount participates in energy-accumulating power station the validity of each scene, specially calculates Validity Index using following steps and determines effective
Property:
A. peak regulation Validity Index a is calculated using following formula1:
Δ P in formulafFor active power output needed for peak regulation, Δ Pf0At the beginning of active power output when carrying out peak regulation power output for energy-accumulating power station
Initial value, EBess0For stored energy capacitance;The total electricity consumed needed for being adjusted for peak load shifting;
B. frequency modulation Validity Index a is calculated using following formula2:
Δ P in formulapFor active power output needed for frequency modulation, Δ Pp0At the beginning of active power output when carrying out frequency modulation power output for energy-accumulating power station
Initial value, EBess0For stored energy capacitance;For the total electricity of consumption needed for frequency modulation;
C. pressure regulation Validity Index a is calculated using following formula3:
Δ Q is idle power output needed for pressure regulation in formula, and S is the inverter capacity of energy storage node;
D. determine that the capacity of energy-accumulating power station and inverter capacity participate in each scene for energy-accumulating power station using following rule
Validity:
If peak regulation Validity Index is 1, show that energy-accumulating power station can participate in peak regulation operative scenario;If peak regulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in peak regulation operative scenario;
If frequency modulation Validity Index is 1, show that energy-accumulating power station can participate in frequency modulation operative scenario;If frequency modulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in frequency modulation operative scenario;
If pressure regulation Validity Index is 1, show that energy-accumulating power station can participate in pressure regulation operative scenario;If pressure regulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in pressure regulation operative scenario.
The emergency index of energy-accumulating power station is calculated described in step S3, is specially calculated emergency using following steps and is referred to
Mark:
A. peak regulation emergency index b is calculated using following formula1:
Δ P in formulacFor the deviation value of actual power curve and its average value, Δ Pc1For the lower limit of the absolute value of deviation value,
ΔPc2For the upper limit of the absolute value of deviation value;
B. frequency modulation emergency index b is calculated using following formula2:
Δ f in formulacFor frequency departure, Δ fc1For the lower limit of the absolute value of frequency departure, Δ fc2For the absolute of frequency departure
The upper limit of value;
C. pressure regulation emergency index b is calculated using following formula3:
Δ u in formulacFor voltage deviation, Δ uc1For the lower limit of the absolute value of voltage deviation, Δ uc2For the absolute of voltage deviation
The upper limit of value;
D. using following formula to peak regulation emergency index b1, frequency modulation emergency index b2With pressure regulation emergency index b3Into
Row amendment:
B in formula1·For revised peak regulation emergency index, b2·For revised frequency modulation emergency index, b3·For amendment
Pressure regulation emergency index afterwards;dPc/ dt is voltage power interconversion rate;dfc/ dt is mains frequency change rate;duc/ dt is voltage
Voltage change ratio;k1、k2And k3For the constant of setting;PcFor grid power value;fcFor grid frequency value;ucFor network voltage value.
The importance sequenencing index of energy-accumulating power station is calculated described in step S4, is specially constructed using analytic hierarchy process (AHP) and true
Determine the importance sequenencing index of energy-accumulating power station.
The importance sequenencing index of the calculating energy-accumulating power station, specially following steps calculate importance sequenencing index:
(1) the comparison matrix under three peak regulation, frequency modulation, pressure regulation scenes is constructed;
(2) relative weighting under the feature vector of calculating matrix and three scenes;
(3) consistency of test matrix.
Comparison matrix under three building peak regulation, frequency modulation, pressure regulation scenes described in step (1), specially using following rule
Then construct comparison matrix:
The importance degree of element i and element j are divided into five grades: grade one, grade two, grade three, grade four,
Grade five;
When element i is identical as the grade of importance degree of the element j to upper level factor, aij=1;
When element i is slightly more important than element j, aij=3;Described is slightly important is defined as: the high level-one of importance degree grade,
Such as: grade two is than grade one, and grade three is than grade two, and grade four is than grade three, and grade five is than grade four;
When element i is more important than element j, aij=5;Described is important is defined as: the high two-stage of importance degree grade, such as:
Grade three is than grade one, and grade four is than grade two, and grade five is than grade three;
When element i is than element j much more significant, aij=7;The much more significant is defined as: importance degree grade is high
Three-level, such as: grade four is than grade one, and grade five is than grade two;
When element i is more of crucial importance than element j, aij=9;Described is extremely important is defined as: importance degree grade
High level Four, such as: grade five is than grade one;
When the importance of element i and j are between aij=2n-1 and aijBetween=2n+1, aij=2n;N=1,2,3.
Relative weighting under the feature vector of calculating matrix described in step (2) and three scenes, specially using as follows
Step calculates feature vector and relative weighting:
1) it sums to each column of matrix;
2) each column are normalized;
3) each row of the normalized matrix obtained to step 2) is summed, to obtain feature vector;
4) feature vector that step 3) obtains is normalized again, to obtain relative weighting.
The consistency of test matrix described in step (3) specially uses following steps check consistency:
The Maximum characteristic root of I, calculating matrix;
Maximum characteristic root of II, according to matrix, the coincident indicator of calculating matrix;
III, calculates random consistency ratio;And according to the random consistency ratio of calculating, the consistency inspection of matrix is carried out
It tests.
The groundwork scene and back work scene of determination energy-accumulating power station described in step S6 instantly, specially using such as
Lower rule determines the groundwork scene and back work scene of energy-accumulating power station instantly:
Calculate scene decision content:
Peak regulation scene decision content=revised peak regulation emergency index * peak regulation emergency index weights;
The revised frequency modulation emergency index * frequency modulation emergency index weights of frequency modulation scene decision content=x*;
The revised pressure regulation emergency index * pressure regulation emergency index weights of pressure regulation scene decision content=x*;
X is the regulation coefficient between the 0~1 of setting;
Determine operative scenario:
If peak regulation scene decision content is maximum, using peak regulation as home court scape, frequency modulation and voltage modulation is as auxiliary scene;
If frequency modulation scene decision content is maximum, using frequency modulation as home court scape, peak regulation pressure regulation is as auxiliary scene;
If pressure regulation scene decision content is maximum, using pressure regulation as home court scape, peak-frequency regulation is as auxiliary scene.
The active power output of determination energy-accumulating power station and idle power output described in step S7 specially calculate storage using following formula
The active power output and idle power output in energy power station:
When peak regulation is home court scape, scene supplemented by frequency modulation and voltage modulation, the active power output P of energy-accumulating power stationc=Δ Pf, energy-accumulating power station
Idle power output
When frequency modulation is home court scape, scene supplemented by peak regulation pressure regulation, the active power output P of energy-accumulating power stationc=Δ Pp, energy-accumulating power station
Idle power output
When pressure regulation is home court scape, scene supplemented by peak-frequency regulation, the active power output of energy-accumulating power station
The idle power output Q of energy-accumulating power stationc=Δ Q;
Δ P in formulafFor active power output needed for peak regulation, S is the inverter capacity of energy storage node, Δ PpFor needed for frequency modulation
Active power output, Δ Q are idle power output needed for pressure regulation.
This energy-accumulating power station operative scenario recognition methods based on feature extraction provided by the invention, passes through feature extraction
Mode obtains the running parameter of power grid and the running parameter of energy-accumulating power station, and carries out comprehensive analysis and analysis, so as to energy storage
The operative scenario in power station is identified and judgeed, at the same can also judgement based on operative scenario and identification make corresponding energy storage
The power output in power station controls, thus ensure that the reliable and stable operation of power grid, and the method for the present invention high reliablity, it is scientific and reasonable,
And effect is preferable.
Detailed description of the invention
Fig. 1 is the method flow schematic diagram of the method for the present invention.
Specific embodiment
It is as shown in Figure 1 the method flow schematic diagram of the method for the present invention: provided by the invention this based on feature extraction
Energy-accumulating power station operative scenario recognition methods, includes the following steps:
S1. it according to the real time data of power grid and established peak regulation, frequency modulation, pressure regulation strategy, is calculated needed for peak regulation
Idle power output needed for active power output needed for active power output, frequency modulation and pressure regulation;
Energy storage peak shaving strategy according to the grid side power data Δ P of system detection,Obtain the active of energy storage peak shaving
Contribute Δ Pf, energy storage pressure regulation strategy according to the grid side voltage data Δ u of system detection,Obtain the idle of energy storage pressure regulation
Contribute Δ Q, energy storage chirping strategies according to the grid side frequency data Δ f of system detection,Obtain energy storage frequency modulation it is active go out
Power Δ Pp;
S2. the Validity Index of energy-accumulating power station is calculated, so that it is determined that the capacity of energy-accumulating power station and inverter capacity are for storage
Energy power station participates in the validity of each scene;Validity Index specially is calculated using following steps and determines validity:
A. peak regulation Validity Index a is calculated using following formula1:
Δ P in formulafFor active power output needed for peak regulation, Δ Pf0At the beginning of active power output when carrying out peak regulation power output for energy-accumulating power station
Initial value, EBess0For stored energy capacitance;The total electricity consumed needed for being adjusted for peak load shifting;
B. frequency modulation Validity Index a is calculated using following formula2:
Δ P in formulapFor active power output needed for frequency modulation, Δ Pp0At the beginning of active power output when carrying out frequency modulation power output for energy-accumulating power station
Initial value, EBess0For stored energy capacitance;For the total electricity of consumption needed for frequency modulation;
C. pressure regulation Validity Index a is calculated using following formula3:
Δ Q is idle power output needed for pressure regulation in formula, and S is the inverter capacity of energy storage node;
D. determine that the capacity of energy-accumulating power station and inverter capacity participate in each scene for energy-accumulating power station using following rule
Validity:
If peak regulation Validity Index is 1, show that energy-accumulating power station can participate in peak regulation operative scenario;If peak regulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in peak regulation operative scenario;
If frequency modulation Validity Index is 1, show that energy-accumulating power station can participate in frequency modulation operative scenario;If frequency modulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in frequency modulation operative scenario;
If pressure regulation Validity Index is 1, show that energy-accumulating power station can participate in pressure regulation operative scenario;If pressure regulation validity refers to
It is designated as 0, then shows that energy-accumulating power station can not participate in pressure regulation operative scenario;
S3. the emergency index of energy-accumulating power station is calculated;Specially emergency index is calculated using following steps:
A. peak regulation emergency index b is calculated using following formula1:
Δ P in formulacFor the deviation value of actual power curve and its average value, Δ Pc1For the lower limit of the absolute value of deviation value,
ΔPc2For the upper limit of the absolute value of deviation value;
B. frequency modulation emergency index b is calculated using following formula2:
Δ f in formulacFor frequency departure, Δ fc1For the lower limit of the absolute value of frequency departure, Δ fc2For the absolute of frequency departure
The upper limit of value;
C. pressure regulation emergency index b is calculated using following formula3:
Δ u in formulacFor voltage deviation, Δ uc1For the lower limit of the absolute value of voltage deviation, Δ uc2For the absolute of voltage deviation
The upper limit of value;
D. using following formula to peak regulation emergency index b1, frequency modulation emergency index b2With pressure regulation emergency index b3Into
Row amendment:
B in formula1·For revised peak regulation emergency index, b2·For revised frequency modulation emergency index, b3·For amendment
Pressure regulation emergency index afterwards;dPc/ dt is voltage power interconversion rate;dfc/ dt is mains frequency change rate;duc/ dt is voltage
Voltage change ratio;k1、k2And k3For the constant of setting;PcFor grid power value;fcFor grid frequency value;ucFor network voltage value;
S4. the importance sequenencing index of energy-accumulating power station is calculated;It is specially constructed using analytic hierarchy process (AHP) and determines energy storage electricity
The importance sequenencing index stood;Specially following steps calculate importance sequenencing index:
(1) the comparison matrix under three peak regulation, frequency modulation, pressure regulation scenes is constructed;Specially using following rule building comparison
Matrix:
The importance degree of element i and element j are divided into five grades: grade one, grade two, grade three, grade four,
Grade five;
When element i is identical as the grade of importance degree of the element j to upper level factor, aij=1;
When element i is slightly more important than element j, aij=3;Described is slightly important is defined as: the high level-one of importance degree grade,
Such as: grade two is than grade one, and grade three is than grade two, and grade four is than grade three, and grade five is than grade four;
When element i is more important than element j, aij=5;Described is important is defined as: the high two-stage of importance degree grade, such as:
Grade three is than grade one, and grade four is than grade two, and grade five is than grade three;When element i is than element j much more significant, aij=7;Institute
The much more significant stated is defined as: the high three-level of importance degree grade, such as: grade four is than grade one, and grade five is than grade two;
When element i is more of crucial importance than element j, aij=9;Described is extremely important is defined as: importance degree grade
High level Four, such as: grade five is than grade one;
The classification of the above importance degree and important ratio compared with evaluation method only represent a kind of concrete mode, described point
Grade and evaluation method are also possible to the definition mode of different numerical value, if importance degree can be divided into the grade greater than five,
The evaluation method also makees corresponding adaptation;
When the importance of element i and j are between aij=2n-1 and aijBetween=2n+1, aij=2n;N=1,2,3;
(2) relative weighting under the feature vector of calculating matrix and three scenes;Body is to calculate feature using following steps
Vector sum relative weighting:
1) it sums to each column of matrix;
2) each column are normalizedTo obtain matrix B;
3) each row of the normalized matrix B obtained to step 2) is summed, to obtain feature vector;
4) feature vector that step 3) obtains is normalized againTo obtain opposite weigh
Weight c1=W1, c2=W2, c3=W3;
(3) consistency of test matrix;Specially use following steps check consistency:
The Maximum characteristic root of I, calculating matrix
Maximum characteristic root of II, according to matrix, the coincident indicator of calculating matrix
III, calculates random consistency ratio;And according to the random consistency ratio of calculating, the consistency inspection of matrix is carried out
It tests;Specially calculate random consistency ratioR.I. it is Aver-age Random Consistency Index, is rule of thumb to unite
The constant counted out;If C.R. > 0.1, expression does not keep the level of signifiance, needs to be adjusted comparison matrix;If C.R.≤0.1,
It indicates to keep the level of signifiance, comparison matrix is to maintain consistency;
S5. according to the importance sequenencing index of the emergency index of step S3 and step S4, it is each to determine that energy-accumulating power station participates in
The priority of scene;
S6. the priority result obtained by step S5 determines energy-accumulating power station groundwork scene instantly and backman
Make scene;The groundwork scene and back work scene of energy-accumulating power station instantly are specially determined using following rule:
Calculate scene decision content:
Peak regulation scene decision content=revised peak regulation emergency index * peak regulation emergency index weights;
The revised frequency modulation emergency index * frequency modulation emergency index weights of frequency modulation scene decision content=x*;
The revised pressure regulation emergency index * pressure regulation emergency index weights of pressure regulation scene decision content=x*;
X is the regulation coefficient between the 0~1 of setting;
Determine operative scenario:
If peak regulation scene decision content is maximum, using peak regulation as home court scape, frequency modulation and voltage modulation is as auxiliary scene;
If frequency modulation scene decision content is maximum, using frequency modulation as home court scape, peak regulation pressure regulation is as auxiliary scene;
If pressure regulation scene decision content is maximum, using pressure regulation as home court scape, peak-frequency regulation is as auxiliary scene;
S7. nothing needed for active power output, pressure regulation needed for active power output, frequency modulation according to needed for the peak regulation that step S1 is obtained
The energy-accumulating power station that function power output, the apparent energy of energy-accumulating power station inverter and step S6 are obtained groundwork scene instantly and auxiliary
Operative scenario is helped, determines the active power output and idle power output of energy-accumulating power station: energy-accumulating power station specially being calculated using following formula
Active power output and idle power output:
When peak regulation is home court scape, scene supplemented by frequency modulation and voltage modulation, the active power output P of energy-accumulating power stationc=Δ Pf, energy-accumulating power station
Idle power output
When frequency modulation is home court scape, scene supplemented by peak regulation pressure regulation, the active power output P of energy-accumulating power stationc=Δ Pp, energy-accumulating power station
Idle power output
When pressure regulation is home court scape, scene supplemented by peak-frequency regulation, the active power output of energy-accumulating power station
The idle power output Q of energy-accumulating power stationc=Δ Q;
Δ P in formulafFor active power output needed for peak regulation, S is the inverter capacity of energy storage node, Δ PpFor needed for frequency modulation
Active power output, Δ Q are idle power output needed for pressure regulation.
Claims (10)
1. a kind of energy-accumulating power station operative scenario recognition methods based on feature extraction, includes the following steps:
S1. it according to the real time data of power grid and established peak regulation, frequency modulation, pressure regulation strategy, is calculated active needed for peak regulation
Idle power output needed for active power output needed for power output, frequency modulation and pressure regulation;
S2. the Validity Index of energy-accumulating power station is calculated, so that it is determined that the capacity of energy-accumulating power station and inverter capacity are for energy storage electricity
It stands and participates in the validity of each scene;
S3. the emergency index of energy-accumulating power station is calculated;
S4. the importance sequenencing index of energy-accumulating power station is calculated;
S5. according to the importance sequenencing index of the emergency index of step S3 and step S4, determine that energy-accumulating power station participates in each scene
Priority;
S6. the priority result obtained by step S5 determines energy-accumulating power station groundwork scene instantly and back work field
Scape.
2. the energy-accumulating power station operative scenario recognition methods according to claim 1 based on feature extraction, it is characterised in that also
Include the following steps:
S7. needed for active power output, pressure regulation needed for active power output, frequency modulation according to needed for the peak regulation that step S1 is obtained it is idle go out
The energy-accumulating power station that power, the apparent energy of energy-accumulating power station inverter and step S6 are obtained groundwork scene instantly and backman
Make scene, determines the active power output and idle power output of energy-accumulating power station.
3. the energy-accumulating power station operative scenario recognition methods according to claim 1 or 2 based on feature extraction, it is characterised in that
The Validity Index of energy-accumulating power station is calculated described in step S2, so that it is determined that the capacity of energy-accumulating power station and inverter capacity are for storage
Energy power station participates in the validity of each scene, specially calculates Validity Index using following steps and determines validity:
A. peak regulation Validity Index a is calculated using following formula1:
Δ P in formulafFor active power output needed for peak regulation, Δ Pf0Active power output when carrying out peak regulation power output for energy-accumulating power station is initial
Value, EBess0For stored energy capacitance;The total electricity consumed needed for being adjusted for peak load shifting;
B. frequency modulation Validity Index a is calculated using following formula2:
Δ P in formulapFor active power output needed for frequency modulation, Δ Pp0Active power output when carrying out frequency modulation power output for energy-accumulating power station is initial
Value, EBess0For stored energy capacitance;For the total electricity of consumption needed for frequency modulation;
C. pressure regulation Validity Index a is calculated using following formula3:
Δ Q is idle power output needed for pressure regulation in formula, and S is the inverter capacity of energy storage node;
D. determine that the capacity of energy-accumulating power station and inverter capacity participate in the effective of each scene for energy-accumulating power station using following rule
Property:
If peak regulation Validity Index is 1, show that energy-accumulating power station can participate in peak regulation operative scenario;If peak regulation Validity Index is
0, then show that energy-accumulating power station can not participate in peak regulation operative scenario;
If frequency modulation Validity Index is 1, show that energy-accumulating power station can participate in frequency modulation operative scenario;If frequency modulation Validity Index is
0, then show that energy-accumulating power station can not participate in frequency modulation operative scenario;
If pressure regulation Validity Index is 1, show that energy-accumulating power station can participate in pressure regulation operative scenario;If pressure regulation Validity Index is
0, then show that energy-accumulating power station can not participate in pressure regulation operative scenario.
4. the energy-accumulating power station operative scenario recognition methods according to claim 3 based on feature extraction, it is characterised in that step
The emergency index that energy-accumulating power station is calculated described in rapid S3, specially calculates emergency index using following steps:
A. peak regulation emergency index b is calculated using following formula1:
Δ P in formulacFor the deviation value of actual power curve and its average value, Δ Pc1For the lower limit of the absolute value of deviation value, Δ Pc2
For the upper limit of the absolute value of deviation value;
B. frequency modulation emergency index b is calculated using following formula2:
Δ f in formulacFor frequency departure, Δ fc1For the lower limit of the absolute value of frequency departure, Δ fc2For the absolute value of frequency departure
The upper limit;
C. pressure regulation emergency index b is calculated using following formula3:
Δ u in formulacFor voltage deviation, Δ uc1For the lower limit of the absolute value of voltage deviation, Δ uc2For the absolute value of voltage deviation
The upper limit;
D. using following formula to peak regulation emergency index b1, frequency modulation emergency index b2With pressure regulation emergency index b3It is repaired
Just:
B in formula1·For revised peak regulation emergency index, b2·For revised frequency modulation emergency index, b3·It is revised
Pressure regulation emergency index;dPc/ dt is voltage power interconversion rate;dfc/ dt is mains frequency change rate;duc/ dt is voltage
Change rate;k1、k2And k3For the constant of setting;PcFor grid power value;fcFor grid frequency value;ucFor network voltage value.
5. the energy-accumulating power station operative scenario recognition methods according to claim 4 based on feature extraction, it is characterised in that step
The importance sequenencing index that energy-accumulating power station is calculated described in rapid S4, specially uses following steps, simultaneously with analytic hierarchy process (AHP) building
Determine the importance sequenencing index of energy-accumulating power station:
(1) the comparison matrix under three peak regulation, frequency modulation, pressure regulation scenes is constructed;
(2) relative weighting under the feature vector of calculating matrix and three scenes;
(3) consistency of test matrix.
6. the energy-accumulating power station operative scenario recognition methods according to claim 5 based on feature extraction, it is characterised in that step
Suddenly the comparison matrix under three building peak regulation, frequency modulation, pressure regulation scenes described in (1), specially using following rule building comparison
Matrix:
The importance degree of element i and element j are divided into five grades: grade one, grade two, grade three, grade four, grade
Five;
When element i is identical as the grade of importance degree of the element j to upper level factor, aij=1;
When element i is slightly more important than element j, aij=3;Described is slightly important is defined as: the high level-one of importance degree grade, such as:
Grade two is than grade one, and grade three is than grade two, and grade four is than grade three, and grade five is than grade four;
When element i is more important than element j, aij=5;Described is important is defined as: the high two-stage of importance degree grade, such as: grade
Three than grade one, and grade four is than grade two, and grade five is than grade three;
When element i is than element j much more significant, aij=7;The much more significant is defined as: the high three-level of importance degree grade,
Such as: grade four is than grade one, and grade five is than grade two;
When element i is more of crucial importance than element j, aij=9;Described is extremely important is defined as: importance degree grade Gao Si
Grade, such as: grade five is than grade one;
When the importance of element i and j are between aij=2n-1 and aijBetween=2n+1, aij=2n;N=1,2,3.
7. the energy-accumulating power station operative scenario recognition methods according to claim 6 based on feature extraction, it is characterised in that step
Suddenly the relative weighting under the feature vector of calculating matrix described in (2) and three scenes is specially calculated using following steps special
Levy vector sum relative weighting:
1) it sums to each column of matrix;
2) each column are normalized;
3) each row of the normalized matrix obtained to step 2) is summed, to obtain feature vector;
4) feature vector that step 3) obtains is normalized again, to obtain relative weighting.
8. the energy-accumulating power station operative scenario recognition methods according to claim 7 based on feature extraction, it is characterised in that step
Suddenly the consistency of test matrix described in (3) specially uses following steps check consistency:
The Maximum characteristic root of I, calculating matrix;
Maximum characteristic root of II, according to matrix, the coincident indicator of calculating matrix;
III, calculates random consistency ratio;And according to the random consistency ratio of calculating, the consistency check of matrix is carried out.
9. the energy-accumulating power station operative scenario recognition methods according to claim 8 based on feature extraction, it is characterised in that step
The groundwork scene and back work scene of determination energy-accumulating power station instantly described in rapid S6 are specially determined using following rule
The groundwork scene and back work scene of energy-accumulating power station instantly:
Calculate scene decision content:
Peak regulation scene decision content=revised peak regulation emergency index * peak regulation emergency index weights;
The revised frequency modulation emergency index * frequency modulation emergency index weights of frequency modulation scene decision content=x*;
The revised pressure regulation emergency index * pressure regulation emergency index weights of pressure regulation scene decision content=x*;
X is the regulation coefficient between the 0~1 of setting;
Determine operative scenario:
If peak regulation scene decision content is maximum, using peak regulation as home court scape, frequency modulation and voltage modulation is as auxiliary scene;
If frequency modulation scene decision content is maximum, using frequency modulation as home court scape, peak regulation pressure regulation is as auxiliary scene;
If pressure regulation scene decision content is maximum, using pressure regulation as home court scape, peak-frequency regulation is as auxiliary scene.
10. the energy-accumulating power station operative scenario recognition methods according to claim 9 based on feature extraction, it is characterised in that institute
The step S7 stated determines the active power output and idle power output of energy-accumulating power station are as follows:
When peak regulation is home court scape, scene supplemented by frequency modulation and voltage modulation, the active power output P of energy-accumulating power stationc=Δ Pf, the nothing of energy-accumulating power station
Function power output
When frequency modulation is home court scape, scene supplemented by peak regulation pressure regulation, the active power output P of energy-accumulating power stationc=Δ Pp, the nothing of energy-accumulating power station
Function power output
When pressure regulation is home court scape, scene supplemented by peak-frequency regulation, the active power output of energy-accumulating power stationEnergy storage
The idle power output Q in power stationc=Δ Q;
Δ P in formulafFor active power output needed for peak regulation, S is the inverter capacity of energy storage node, Δ PpIt is active needed for frequency modulation
Power output, Δ Q are idle power output needed for pressure regulation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910682743.4A CN110401211B (en) | 2019-07-26 | 2019-07-26 | Energy storage power station working scene identification method based on feature extraction |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910682743.4A CN110401211B (en) | 2019-07-26 | 2019-07-26 | Energy storage power station working scene identification method based on feature extraction |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110401211A true CN110401211A (en) | 2019-11-01 |
CN110401211B CN110401211B (en) | 2021-07-27 |
Family
ID=68325102
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910682743.4A Active CN110401211B (en) | 2019-07-26 | 2019-07-26 | Energy storage power station working scene identification method based on feature extraction |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110401211B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111162547A (en) * | 2020-01-03 | 2020-05-15 | 浙江大学台州研究院 | Energy storage multi-scene application switching control method |
CN111416367A (en) * | 2020-01-03 | 2020-07-14 | 浙江大学台州研究院 | Energy storage multi-scene application cooperative control method |
CN111711211A (en) * | 2020-07-06 | 2020-09-25 | 国网湖南省电力有限公司 | Scene switching method for battery energy storage power station |
CN114094599A (en) * | 2021-10-18 | 2022-02-25 | 国网江苏省电力有限公司南京供电分公司 | Multi-station fusion participating peak-shaving frequency-modulation voltage-regulation potential evaluation method and device |
CN114301079A (en) * | 2021-12-30 | 2022-04-08 | 国网湖南省电力有限公司 | Energy storage control method, equipment and medium participating in peak-shaving frequency-modulation cross application of power grid |
WO2023108384A1 (en) * | 2021-12-14 | 2023-06-22 | 浙江大学台州研究院 | Comprehensive identification index-based energy storage multi-scenario application switching control method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104333037A (en) * | 2014-11-02 | 2015-02-04 | 中国科学院电工研究所 | Cooperative control method for participating in frequency modulation and pressure regulation of power system by wind storage cluster |
CN104701891A (en) * | 2015-04-01 | 2015-06-10 | 成都鼎智汇科技有限公司 | Micro-grid system monitoring device capable of automatically achieving frequency control |
US9554431B2 (en) * | 2014-01-06 | 2017-01-24 | Garrity Power Services Llc | LED driver |
CN108448651A (en) * | 2018-03-30 | 2018-08-24 | 北京天润新能投资有限公司 | A kind of the wind storage association system and control method of distributing wind-powered electricity generation |
CN109768581A (en) * | 2018-12-28 | 2019-05-17 | 国网湖南省电力有限公司 | Power grid voltage regulating and dynamic reactive support and control method for energy-accumulating power station |
CN109768626A (en) * | 2018-07-16 | 2019-05-17 | 上海交通大学 | A kind of energy stream implementation method of energy-accumulating power station plug and play |
-
2019
- 2019-07-26 CN CN201910682743.4A patent/CN110401211B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9554431B2 (en) * | 2014-01-06 | 2017-01-24 | Garrity Power Services Llc | LED driver |
CN104333037A (en) * | 2014-11-02 | 2015-02-04 | 中国科学院电工研究所 | Cooperative control method for participating in frequency modulation and pressure regulation of power system by wind storage cluster |
CN104701891A (en) * | 2015-04-01 | 2015-06-10 | 成都鼎智汇科技有限公司 | Micro-grid system monitoring device capable of automatically achieving frequency control |
CN108448651A (en) * | 2018-03-30 | 2018-08-24 | 北京天润新能投资有限公司 | A kind of the wind storage association system and control method of distributing wind-powered electricity generation |
CN109768626A (en) * | 2018-07-16 | 2019-05-17 | 上海交通大学 | A kind of energy stream implementation method of energy-accumulating power station plug and play |
CN109768581A (en) * | 2018-12-28 | 2019-05-17 | 国网湖南省电力有限公司 | Power grid voltage regulating and dynamic reactive support and control method for energy-accumulating power station |
Non-Patent Citations (2)
Title |
---|
陈远扬 等: "储能系统应用于某区域电网的实例研究", 《湖南电力》 * |
黄际元 等: "电池储能系统参与配电网调峰的选址定容方法", 《电器与能效管理技术》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111162547A (en) * | 2020-01-03 | 2020-05-15 | 浙江大学台州研究院 | Energy storage multi-scene application switching control method |
CN111416367A (en) * | 2020-01-03 | 2020-07-14 | 浙江大学台州研究院 | Energy storage multi-scene application cooperative control method |
CN111416367B (en) * | 2020-01-03 | 2021-08-17 | 浙江大学台州研究院 | Energy storage multi-scene application cooperative control method |
CN111711211A (en) * | 2020-07-06 | 2020-09-25 | 国网湖南省电力有限公司 | Scene switching method for battery energy storage power station |
CN111711211B (en) * | 2020-07-06 | 2023-05-02 | 国网湖南省电力有限公司 | Scene switching method for battery energy storage power station |
CN114094599A (en) * | 2021-10-18 | 2022-02-25 | 国网江苏省电力有限公司南京供电分公司 | Multi-station fusion participating peak-shaving frequency-modulation voltage-regulation potential evaluation method and device |
CN114094599B (en) * | 2021-10-18 | 2024-09-03 | 国网江苏省电力有限公司南京供电分公司 | Multi-station fusion participation peak regulation frequency modulation voltage regulation potential evaluation method and device |
WO2023108384A1 (en) * | 2021-12-14 | 2023-06-22 | 浙江大学台州研究院 | Comprehensive identification index-based energy storage multi-scenario application switching control method |
CN114301079A (en) * | 2021-12-30 | 2022-04-08 | 国网湖南省电力有限公司 | Energy storage control method, equipment and medium participating in peak-shaving frequency-modulation cross application of power grid |
Also Published As
Publication number | Publication date |
---|---|
CN110401211B (en) | 2021-07-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110401211A (en) | Energy-accumulating power station operative scenario recognition methods based on feature extraction | |
CN105160149B (en) | A kind of demand response scheduling evaluation system construction method for simulating regulating units | |
CN107358332A (en) | A kind of dispatching of power netwoks runs lean evaluation method | |
CN106339779A (en) | Evaluation method for distributed power supply configuration scheme in power distribution network | |
CN105552860A (en) | Power distribution network isolated island operation scheme method based on energy storage and distributed generation | |
CN112531689B (en) | Source network load storage coordination control capability assessment method and equipment of receiving-end power system | |
CN113657739B (en) | Quantitative energy storage evaluation method under multiple scenes | |
CN112380694A (en) | Power distribution network optimization planning method based on differential reliability requirements | |
CN106875035A (en) | A kind of active distribution network reliability assessment optimization method | |
CN113112114A (en) | Energy storage power station online evaluation method and device | |
CN106096285B (en) | A kind of energy-storage system copes with high wind-powered electricity generation permeability system frequency modulation demand effect assessment method | |
CN109102185A (en) | The method and system of integrated power station life cycle management economy is filled in a kind of assessment light storage | |
CN107292489A (en) | A kind of dispatching of power netwoks runs lean evaluation system | |
CN104361250A (en) | Photovoltaic grid connected safety evaluation method | |
CN107834540B (en) | Method for determining distributed photovoltaic access capacity based on probability constraint | |
CN106600130A (en) | Fuzzy neural network model-based independent microgrid security analysis method | |
CN113868586A (en) | Multi-dimensional and multi-level toughness power grid evaluation method and system | |
CN107370169A (en) | Extensive energy-accumulating power station peak regulation controller and method based on ANFIS short-term load forecastings | |
CN117277310A (en) | Aggregate resource adjustable capability calculating method and system based on valley filling demand response | |
CN109615246B (en) | Method for determining economic operation state of active power distribution network | |
Liu et al. | Power grid frequency regulation strategy of hybrid energy storage considering efficiency evaluation | |
CN109546188A (en) | The more attribute comprehensive evaluation methods of flow battery energy storage | |
CN109102196A (en) | Power distribution network diversified load digestion capacity assessment method and system | |
CN112039062B (en) | Entropy weight method-based optimal energy storage mode determination method | |
CN108233358A (en) | Utilization review method based on equilibrium state utility factor and load curve |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |