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 PDF

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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
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energy
power station
grade
accumulating power
index
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CN110401211B (en
Inventor
黄治国
孟庆强
黄际元
杨俊�
戴如辉
钱军
陈远扬
罗尧
李靖
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Changsha Power Supply Co of State Grid Hunan Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Changsha Power Supply Co of State Grid Hunan Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/50Controlling the sharing of the out-of-phase component

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  • 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

Energy-accumulating power station operative scenario recognition methods based on feature extraction
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 formulaFor revised peak regulation emergency index, bFor revised frequency modulation emergency index, bFor 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 formulaFor revised peak regulation emergency index, bFor revised frequency modulation emergency index, bFor 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 formulaFor revised peak regulation emergency index, bFor revised frequency modulation emergency index, bIt 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.
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