CN110070230A - Local power grid unit cell electric quantity evaluation calculation method and device and storage medium - Google Patents
Local power grid unit cell electric quantity evaluation calculation method and device and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a local power grid unit cell electric quantity evaluation calculation method, a device and a computer readable storage medium, wherein the method comprises the following steps: acquiring a predicted value and a predicted error of the output of the new energy power station respectively connected to different buses, and acquiring an output interval of each new energy power station according to the predicted value and the predicted error of the output of the new energy power station; uniformly selecting a plurality of output values from the output interval of each new energy power station, and uniformly designing the selected output values to obtain a plurality of new energy power station output scenes; according to the actual output and rated output of each bus when a conventional power station is connected to each new energy power station under the output scene, a nest electric quantity target function taking the minimum nest electric quantity as a target is established; and calculating the grid power of the local power grid according to the grid power objective function and the constraint condition corresponding to the grid power objective function, so that the grid power calculation precision of the local power grid unit is improved, and the safe operation of the power system is ensured.
Description
Technical field
The present invention relates to security analysis of electric power system technical fields, comment more particularly to a kind of partial electric grid unit nest electricity
Method, apparatus and computer readable storage medium are calculated in estimation.
Background technique
Regional partial electric grid unit nest electricity assessment calculating is one of the pith of electric system routine analysis work.Ground
Partial electric grid unit nest electricity assessment in area's, which calculates, to be referred to for some regional partial electric grid, external operation of power networks condition it is given,
In the case that the grid structure and load level of the regional partial electric grid considered are given, N-1 constraint (the route mother of system is considered
Single back line failure is jumped in line end three-phase ground short circuit, single transformer failure is jumped in the three-phase ground short circuit of transformer bus end), it calculates
Analyze the maximum possible power output of conventional power unit (mainly fired power generating unit and Hydropower Unit) in the regional partial electric grid considered, machine
The difference of group maximum possible power output and unit nominal output is exactly nest electricity.
Currently, regional partial electric grid unit nest electricity assessment calculation method is excessively coarse, it is mainly shown as: (1) without essence
Really consider the different influences to analysis result of different power plant on-positions.Currently regional partial electric grid unit nest electricity is carried out
When assessment calculates, only simply unit outputs all in partial electric grid are overlapped according to a fixed step size, until being unsatisfactory for
Until the N-1 constraint of system；(2) in regional partial electric grid it is extensive power output have probabilistic new energy (wind-powered electricity generation,
Photovoltaic), power output only simply regards constant as.Therefore, the assessment of regional partial electric grid unit nest electricity is caused to calculate
Accuracy it is lower, to influence control management to power grid.
Summary of the invention
The embodiment of the present invention provides a kind of partial electric grid unit nest electricity assessment calculation method, device and computer-readable deposits
Storage media can be improved the precision of partial electric grid unit nest electricity calculating, ensure that the safe operation of electric system.
In order to solve the above technical problem, the present invention provides a kind of partial electric grid unit nest electricity to assess calculation method, packet
It includes:
The predicted value and prediction error of each new energy power station power output are obtained, and according to the pre- of new energy power station power output
Measured value and the prediction error, obtain the power output section of each new energy power station；Wherein, each new energy power station connects respectively
Enter different buses；
Several power generating values are equably chosen from the power output section of each new energy power station, and to described in selection
Power generating value carries out uniform design, to obtain several new energy power stations power output scene；
According under the power output scene of new energy power station described at each, conventional power plant accesses practical power output when each bus
And nominal output of conventional power plant when accessing each bus, it establishes using most alveole electricity as the nest electricity objective function of target；
According to the nest electricity objective function and constraint condition corresponding with the nest electricity objective function, it is calculated
The nest electricity of partial electric grid；Wherein, the constraint condition includes that static constraint under system initial state and system N-1 failure are temporary
State scleronomic constraint
Preferably, for the basis under each described new energy power station power output scene, conventional power plant access is every
Practical power output when one bus and and nominal output of conventional power plant when accessing each bus, establish using most alveole electricity as mesh
Target nest electricity objective function, specifically:
According under the power output scene of new energy power station described at each, conventional power plant accesses practical power output when each bus
And nominal output of conventional power plant when accessing each bus, it establishes using most alveole electricity as the nest electricity objective function of target:
Wherein, min Δ PjTo contribute under scene in j-th of new energy power station, the most alveole electricity of partial electric grid；I is to connect
Enter i-th bus of conventional power plant；T is the sum for accessing the bus of conventional power plant；PieWhen accessing i-th bus for conventional power plant
Nominal output；PI, jTo contribute under scene in j-th of new energy power station, reality when conventional power plant accesses i-th bus goes out
Power, 0≤j≤T, T are the sum of new energy power station power output scene.
Preferably, described according to the nest electricity objective function and corresponding with the nest electricity objective function
The nest electricity of partial electric grid is calculated in constraint condition, comprising:
Using the nest electricity objective function and the constraint condition corresponding with the nest electricity objective function as nest
Electricity Optimized model, and the nest electricity Optimized model is solved using particle algorithm, it obtains in each new energy power station
Under scene of contributing, the most alveole electricity of partial electric grid；
Seek the average value of the most alveole electricity under all new energy power station power output scenes, the nest as the partial electric grid
Electricity.
Preferably, described with the nest electricity objective function and institute corresponding with the nest electricity objective function
Constraint condition is stated as nest electricity Optimized model, and solve the nest electricity Optimized model using particle algorithm, obtained each
Under a new energy power station power output scene, the most alveole electricity of partial electric grid, comprising the following steps:
S411, it contributes under scene in each described new energy power station, setting particle populations are X=[X1 … XM], particle
For xi=[x1 … xt]；Wherein, M is the scale of population, particle xiMiddle jth dimension is to go out in some described new energy power station
Under the scape of the field of force, conventional power plant accesses practical power output when j-th strip bus；
S412, examine whether the particle meets the constraint condition；
S413, when the particle meets the constraint condition, then be calculated by the following formula the fitness of the particle
Value, then execute step S415:
Wherein, fiFor the fitness value；PieNominal output when i-th bus is accessed for the conventional power plant；T is to connect
Enter the sum of the bus of conventional power plant；
S414, when the particle is unsatisfactory for the constraint condition, then be calculated by the following formula the adaptation of the particle
Angle value, then execute step S415:
fi=α
Wherein, α is positive number；
S415, according to the fitness value, obtain the locally optimal solution of the particle and the global optimum of the population
Solution；
S416, according to the locally optimal solution and the globally optimal solution, and by following formula to the particle into
Row updates, to obtain next-generation particle:
vij(t+1)=w (t) vij(t)+c1r1(XI, lb(j)-Xij(t))+c2r2(Xgb(j)-Xij(t))
If vij(t+1) > vJ, max, then vij(t+1)=vJ, max
If vij(t+1) < vJ, min, then vij(t+1)=vJ, min
xij(t+1)=xij(t)+vij(t+1)
If xij(t+1) > xJ, max, then xij(t+1)=Pje
If vij(t+1) 0 <, then xij(t+1)=0
Wherein, vijFor the corresponding speed of the particle；vJ, maxThe upper limit of corresponding speed is tieed up for the particle jth；vJ, min
The lower limit of corresponding speed is tieed up for the particle jth；XI, lbFor the locally optimal solution of the particle；XgbFor the overall situation of the population
Optimal solution；T is current the number of iterations；tmaxFor maximum number of iterations；w,c1、c2For inertia coeffeicent；winitialFor primary iteration
When, the value of w；wendWhen for last iteration, the value of w；PjeNominal output when j-th strip bus is accessed for conventional power plant；
S416, judge whether current iteration number is equal to preset maximum number of iterations；
S417, when the current the number of iterations is less than the maximum number of iterations, execute step S412, entrance is next
Secondary iterative cycles；
S418, when the current the number of iterations is equal to the maximum number of iterations, iteration stopping, and export population
Final globally optimal solution is contributed under scene as in corresponding new energy power station, the most alveole electricity of partial electric grid.
Preferably, the static constraint under the system initial state includes node voltage amplitude constraint, line electricity
Stream constraint and transformer capacity constraint；The system N-1 fault transient scleronomic constraint includes the constraint of system angle stability, system electricity
Press the dynamic steady constraint of scleronomic constraint, system frequency scleronomic constraint and system；Then,
It is described to examine whether the particle meets the constraint condition, specifically:
Examine whether the particle meets the node voltage amplitude constraint, the route respectively by AC power flow calculating
Restriction of current and transformer capacity constraint；
Examine whether the particle meets the system angle stability constraint, the system voltage respectively by transient emulation
The dynamic steady constraint of scleronomic constraint, the system frequency scleronomic constraint and the system.
Preferably, the predicted value and prediction error for obtaining each new energy power station power output, and according to described
The predicted value and the prediction error of new energy power station power output, obtain the power output section of each new energy power station, specifically:
According to the target operating conditions of the history data of each new energy power station and system, each new energy electricity is obtained
The predicted value and prediction error for power output of standing；
According to the predicted value of each new energy power station power output and prediction error, and according to preset confidence level, obtain each
The power output section of new energy power station.
In order to solve identical technical problem, is assessed the present invention also provides a kind of partial electric grid unit nest electricity and calculate dress
It sets, including new energy power station power output section module, new energy power station power output scene module, nest electricity objective function module and nest
Electricity computing module；
The new energy power station power output section module, predicted value and prediction for obtaining each new energy power station power output are missed
Difference, and the predicted value and the prediction error contributed according to the new energy power station, obtain the power output area of each new energy power station
Between；Wherein, each new energy power station is respectively connected to different buses；
The new energy power station is contributed scene module, for from the power output section of each new energy power station equably
Several power generating values are chosen, and uniform design is carried out to the power generating value of selection, are gone out to obtain several new energy power stations
Field of force scape；
The nest electricity objective function module, it is conventional for according under the power output scene of new energy power station described at each
Practical power output and conventional power plant when each bus is accessed in power station access nominal output when each bus, establish with most alveole
Electricity is the nest electricity objective function of target；
The nest electricity computing module, for according to the nest electricity objective function and with the nest electricity objective function
The nest electricity of partial electric grid is calculated in corresponding constraint condition；Wherein, the constraint condition includes under system initial state
Static constraint and system N-1 fault transient scleronomic constraint.
In order to solve identical technical problem, is assessed the present invention also provides another partial electric grid unit nest electricity and calculate dress
It sets, including processor, memory and stores in the memory and be configured as the computer executed by the processor
Program, the processor realize above-mentioned partial electric grid unit nest electricity assessment calculation method when executing the computer program.
In order to solve identical technical problem, the present invention also provides a kind of computer readable storage medium, the computer
Readable storage medium storing program for executing includes the computer program of storage, wherein controlling the computer in computer program operation can
Equipment where reading storage medium executes above-mentioned partial electric grid unit nest electricity assessment calculation method.
Compared with prior art, a kind of partial electric grid unit nest electricity assessment calculation method provided by the invention, device and
Computer readable storage medium, by obtaining the predicted value and prediction error of the new energy power station power output for accessing different buses,
To obtain the power output section of each new energy power station, and uniform design is carried out to the power generating value of selection, to obtain several
A new energy power station is contributed scene, and according under new energy power station power output scene described at each, conventional power plant access is each
Practical power output and corresponding nominal output when bus are established using most alveole electricity as the nest electricity objective function of target, most
Afterwards according to the nest electricity objective function and constraint condition corresponding with the nest electricity objective function, local electricity is calculated
The nest electricity of net is fully considering the influence of extensive new energy power output prediction error and different electricity in partial electric grid to realize
It stands under the influence of the difference of on-position, calculates the nest electricity of partial electric grid, effectively improve partial electric grid unit nest voltameter
The precision of calculation, and then ensure that the safe operation of electric system.
Detailed description of the invention
Fig. 1 is the flow diagram of the partial electric grid unit nest electricity assessment calculation method in the embodiment of the present invention；
Fig. 2 is the structural schematic diagram of one of embodiment of the present invention partial electric grid unit nest electricity assessment computing device；
Fig. 3 is the structural representation of another partial electric grid unit nest electricity assessment computing device in the embodiment of the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of partial electric grid unit nest electricity assessment calculation method of the preferred embodiment of the present invention, including with
Lower step S1-S4:
S1, the predicted value and prediction error for obtaining each new energy power station power output, and contributed according to the new energy power station
Predicted value and the prediction error, obtain the power output section of each new energy power station；Wherein, each new energy power station point
Different buses is not accessed；
It should be noted that the new energy power station is the extensive new energy power station in partial electric grid, such as wind power plant, light
Overhead utility etc. does not do more repeat herein.
Specifically, in step sl, the predicted value and prediction error for obtaining each new energy power station power output, and according to
The predicted value and the prediction error of new energy power station power output, obtain the power output section of each new energy power station, including with
Lower step S11-S12:
S11, according to the history data of each new energy power station and the target operating conditions of system, obtain each new energy
The predicted value and prediction error of source output of power station.
Wherein, the history data of the new energy power station include the practical power output of new energy power station historical data and
The historical data of Weather information；The target operating conditions of the system include the Weather information and new energy power station scale of prediction
Change information；Therefore, office can be determined according to the history data of the new energy power station and the target operating conditions of system
The predicted value and prediction error of each new energy power station power output in portion's power grid.In the present embodiment, it can use according to the actual situation
Corresponding algorithm determines the predicted value and prediction error of new energy power station power output, can such as use Mathematical Fitting method, then
It is predicted, to obtain the predicted value of each new energy power station power output and predict that error, the present invention are not specifically limited this.
S12, predicted value and prediction error according to each new energy power station power output, and according to preset confidence level, it obtains
The power output section of each new energy power station.
Specifically, it according to the predicted value of each new energy power station of acquisition power output and prediction error, and is set according to preset
Reliability, the possibility of each new energy power station can be contributed is indicated with a section, such as: [DP1, min, DP1, max] ..., [DPN, min,
DPN, max]；Wherein, n is the sum of new energy power station in partial electric grid, then [DPN, min, DPN, max] it is n-th of new energy power station
Power output section.In addition, the confidence level can be configured according to actual use situation.
S2, several power generating values are equably chosen from the power output section of each new energy power station, and to selection
The power generating value carries out uniform design, to obtain several new energy power stations power output scene；
In embodiments of the present invention, in order to can be realized as more fully reacting with less new energy power station power output scene
The possibility situation of all extensive new energy power outputs, the present embodiment utilize statistical uniform design, come in partial electric grid
Obtain several new energy power stations power output scene.Specifically, it is uniformly chosen from the power output section of each new energy power station
Several power generating values, for example, power output section is [DP for i-th of new energy power stationI, min, DPI, max], from power output section
[DPN, min, DPN, max] in equably choose T power generating value, be respectively as follows: DPI, min、Then the uniform design is utilized, to the institute of selection
It states power generating value and carries out uniform design, to obtain the different scenes of all new energy power station power outputs of T kind.
It should be noted that the mathematical principle of uniform design is the Uniformly distributed theory in number theory, it focuses on test model
Interior consideration testing site uniformly dispersing is enclosed, in the hope of obtaining most information by least test.For example, when there is m in test
Factor, it is each because being known as n level when, uniform design be n experimental tests is chosen using the Uniformly distributed theory in number theory, and
So that testing site is spread in limit of integration visibly homogeneous using number theory method, and fills various values of the distributed point from integrand
Tap is close, therefore is convenient for statistical modeling.
Wherein, the operating process of uniform design, specifically:
S100, test objective and test index are determined；
S101, Selection experiment factor；
It should be noted that can rule of thumb Selection experiment factor, generally select to test index be affected because
Element is tested.In the present embodiment, the experimental factor is each new energy power station.
S102, the level for determining factor.
Specifically, it according to experimental condition and practical experience, determines the value range of each factor, is then arranged within this range
Level appropriate.In the present embodiment, several power generating values chosen from the power output section of each new energy power station are i.e.
For the level of above-mentioned each factor.
S103, selection uniform designs table, and according to uniform designs table arrangement factor level.
Specifically, suitable uniform designs table is selected to carry out factor level data row according to the factor and the level
Cloth.
S104, according to preset testing program, carry out test operation；
S105, analysis test result, to obtain the experimental condition of optimization；
Specifically, regression analysis can be used to analyze test result, to obtain the experimental condition of optimization；When
So, the experimental condition of optimization can also be obtained using direct observational method according to the difference of test objective and the condition supported；
And when obtaining the experimental condition of optimization using direct observational method, then it no longer needs to carry out subsequent step S106-S107.
S106, the test when obtaining the experimental condition of optimization using regression analysis, to the optimization of acquisition
Condition carries out verification experimental verification；
Actual tests by optimizing experimental condition are verified, and regression model can be further corrected.
S107, trial stretch is reduced, to carry out more accurate test, so that more optimized experimental condition is obtained, until reaching
Until test objective.
In embodiments of the present invention, final test side can be obtained in the design table provided according to the uniform design
Case, that is, obtain several new energy power stations power output scene.
In addition, it is necessary to which the number of new energy power station power output scene can be set according to the uniform design in explanation
Therefore amount chooses the quantity of the new energy power station power output scene flexibly according to demand.
S3, according under the power output scene of new energy power station described at each, conventional power plant accesses reality when each bus
Power output and conventional power plant access nominal output when each bus, establish using most alveole electricity as the nest electricity target letter of target
Number；
In embodiments of the present invention, the bus of the conventional power plant access in partial electric grid is respectively B1, B2..., Bt, phase
The nominal output answered is respectively P1e, P2e..., Pte；It contributes under scene in j-th of new energy power station, corresponding practical power output
Respectively P1, j, P2, j..., PT, j；Wherein, t is the sum for accessing the bus of conventional power plant；
Therefore, in step s3, the basis is under each described new energy power station power output scene, conventional power plant access
Practical power output when each bus and and nominal output of conventional power plant when accessing each bus, establish with most alveole electricity and be
The nest electricity objective function of target, specifically:
According under the power output scene of new energy power station described at each, conventional power plant accesses practical power output when each bus
And nominal output of conventional power plant when accessing each bus, it establishes using most alveole electricity as the nest electricity objective function of target:
Wherein, Δ PjTo contribute under scene in j-th of new energy power station, the most alveole electricity of partial electric grid；I is that access is normal
Advise i-th bus in power station；T is the sum for accessing the bus of conventional power plant；PieVolume when i-th bus is accessed for conventional power plant
Make power；PI, jFor every j new energy power station contribute scene under, conventional power plant access i-th bus when practical power output, 0≤
J≤T, T are the sum of new energy power station power output scene.
S4, according to the nest electricity objective function and constraint condition corresponding with the nest electricity objective function, calculate
Obtain the nest electricity of partial electric grid；Wherein, the constraint condition includes the static constraint and system N-1 event under system initial state
Hinder Transient Stability Constraints.
In step s 4, using the nest electricity objective function and the constraint condition as nest electricity Optimized model, this reality
Border is a strong nonlinearity optimization problem, therefore the nest electricity Optimized model can be solved by intelligent optimization algorithm, to obtain
Obtain the nest electricity of partial electric grid.
In a preferred embodiment, it is described according to the nest electricity objective function and with the nest electricity target letter
The corresponding constraint condition of number, is calculated the nest electricity of partial electric grid, includes the following steps S41-S42:
S41, made with the nest electricity objective function and the constraint condition corresponding with the nest electricity objective function
For nest electricity Optimized model, and the nest electricity Optimized model is solved using particle algorithm, obtained in each new energy
Under output of power station scene, the most alveole electricity of partial electric grid.
Specifically, described with the nest electricity objective function and the constraint corresponding with the nest electricity objective function
Condition solves the nest electricity Optimized model as nest electricity Optimized model, and using particle algorithm, obtains described in each
New energy power station is contributed under scene, and the most alveole electricity of partial electric grid includes the following steps S411-S418:
S411, it contributes under scene in each described new energy power station, setting particle populations are X=[X1 … XM], particle
For Xi=[x1 … xt]；Wherein, M is the scale of population, particle xiWhen middle jth dimension is conventional power plant access j-th strip bus
Practical power output；
It should be noted that the corresponding speed of particle populations is V=[V1 … VM], the corresponding speed of particle
For Vi=[v1 … vt]；Wherein, vJ, min≤vj≤vJ, max, vJ, minThe upper limit of corresponding speed, v are tieed up for particle jthJ, maxFor grain
Sub- jth ties up the lower limit of corresponding speed；
S412, examine whether the particle meets the constraint condition；
In embodiments of the present invention, the static constraint under the system initial state includes node voltage amplitude constraint, line
Road restriction of current and transformer capacity constraint；The system N-1 fault transient scleronomic constraint includes the constraint of system angle stability, is
The dynamic steady constraint of Voltage Stability Constraints, system frequency scleronomic constraint and the system of uniting；Then,
It is described to examine whether the particle meets the constraint condition in step S412, specifically:
Examine whether the particle meets the node voltage amplitude constraint, the route respectively by AC power flow calculating
Restriction of current and transformer capacity constraint；
Examine whether the particle meets the system angle stability constraint, the system voltage respectively by transient emulation
The dynamic steady constraint of scleronomic constraint, the system frequency scleronomic constraint and the system.
It should be understood that the present embodiment examines whether the particle meets the constraint item by the way of software emulation
Part, specific manifestation are as follows: examine whether the particle meets the static state under the system initial state using Load Flow Calculation Software
Constraint；Examine whether the particle meets the system N-1 fault transient scleronomic constraint using Transient State Simulation Software.
S413, when the particle meets the constraint condition, then the adaptation of the particle is calculated by following formula (2)
Angle value, then execute step S415:
Wherein, fiFor the fitness value；PieNominal output when i-th bus is accessed for the conventional power plant；T is to connect
Enter the sum of the bus of conventional power plant；
S414, when the particle is unsatisfactory for the constraint condition, then calculate the suitable of the particle by following formula (3)
Angle value is answered, then executes step S415:
fi=α (3)
Wherein, α is positive number；It should be noted that α can be arranged according to the actual situation；Preferably, α be a numerical value very
Big positive number, such as 100000.
S415, according to the fitness value, obtain the locally optimal solution of the particle and the global optimum of the population
Solution；
In embodiments of the present invention, the fitness value of the particle is smaller, shows that the particle is more superior.Being calculated
After stating fitness value, the locally optimal solution of the particle and the global optimum of the population can be selected from the population
Solution.
S416, according to the locally optimal solution and the globally optimal solution, and by following formula (4)-(6) to described
Particle is updated, to obtain next-generation particle:
Wherein, vijFor the corresponding speed of the particle；vJ, maxThe upper limit of corresponding speed is tieed up for the particle jth；vJ, min
The lower limit of corresponding speed is tieed up for the particle jth；XI, lbFor the locally optimal solution of the particle；XgbFor the overall situation of the population
Optimal solution；T is current the number of iterations；tmaxFor maximum number of iterations；w,c1、c2For inertia coeffeicent；winitialFor primary iteration
When, the value of w；wendWhen for last iteration, the value of w；PjeNominal output when j-th strip bus is accessed for conventional power plant.
S416, judge whether current iteration number is equal to preset maximum number of iterations；
Wherein, the maximum number of iterations can be arranged according to the actual situation, and the embodiment of the present invention is with no restrictions.
S417, when the current the number of iterations is less than the maximum number of iterations, execute step S412, entrance is next
Secondary iterative cycles；
S418, when the current the number of iterations is equal to the maximum number of iterations, iteration stopping, and export population
Final globally optimal solution is contributed under scene as in corresponding new energy power station, the most alveole electricity of partial electric grid.
It should be understood that S411-S418 can be obtained under new energy power station power output scene in office through the above steps, kind
The final globally optimal solution of group, and contribute under scene using the final globally optimal solution as in the new energy power station, part electricity
The most alveole electricity of net；Therefore, it by step S411-S418, can finally obtain under be described new energy power station power output scene, office
The most alveole electricity of portion's power grid.
S42, the average value for seeking the most alveole electricity that all new energy power stations are contributed under scenes, as the partial electric grid
Nest electricity.
Specifically, it is contributed under scenes according to all new energy power stations that step S41 is obtained, the minimum of partial electric grid
Nest electricity Δ Pj(j=1 ..., T), and pass through the average value that the most alveole electricity is calculated in following formula (7):
Wherein, F is the average value of the most alveole electricity；T is the sum of new energy power station power output scene；ΔPjFor
Under j new energy power station power output scene, the most alveole electricity of partial electric grid.
In embodiments of the present invention, the predicted value and prediction of the new energy power station power output of different buses are accessed by obtaining
Error to obtain the power output section of each new energy power station, and utilizes uniform design, to obtain several new energy electricity
Power output of standing scene, and according under the power output scene of new energy power station described at each, conventional power plant accesses reality when each bus
Border power output and corresponding nominal output are established using most alveole electricity as the nest electricity objective function of target, finally according to
The nest electricity of partial electric grid is calculated in nest electricity objective function and constraint condition corresponding with the nest electricity objective function
Amount is fully considering the influence of extensive new energy power output prediction error and different power station access digits in partial electric grid to realize
Under the influence of setting difference, the nest electricity of partial electric grid is obtained, effectively improves the precision of partial electric grid unit nest electricity calculating,
And then it ensure that the safe operation of electric system.
Correspondingly, the present invention also provides a kind of partial electric grid unit nest electricity to assess computing device, can be realized above-mentioned reality
Apply all processes of the partial electric grid unit nest electricity assessment calculation method in example.
As shown in Fig. 2, being one embodiment of partial electric grid unit nest electricity assessment computing device provided by the invention
Structural schematic diagram, partial electric grid unit nest electricity assessment computing device includes new energy power station power output section module 11, new
Energy output of power station scene module 12, nest electricity objective function module 13 and nest electricity computing module 14；
The new energy power station power output section module 11, for obtaining the predicted value and prediction of each new energy power station power output
Error, and the predicted value and the prediction error contributed according to the new energy power station, obtain the power output of each new energy power station
Section；Wherein, each new energy power station is respectively connected to different buses；
The new energy power station power output scene module 12, for uniform from the power output section of each new energy power station
Several power generating values are chosen on ground, and carry out uniform design to the power generating value of selection, to obtain several new energy power stations
Power output scene；
The nest electricity objective function module 13, for according under the power output scene of new energy power station described at each, often
Practical power output and conventional power plant when each bus is accessed in rule power station access nominal output when each bus, establish with minimum
Nest electricity is the nest electricity objective function of target；
The nest electricity computing module 14, for according to the nest electricity objective function and with the nest electricity target letter
The corresponding constraint condition of number, is calculated the nest electricity of partial electric grid；Wherein, the constraint condition includes under system initial state
Static constraint and system N-1 fault transient scleronomic constraint.
In embodiments of the present invention, it is obtained by new energy power station power output section module 11 and accesses different buses
The predicted value and prediction error of new energy power station power output, to obtain the power output section of each new energy power station, and by described new
Energy output of power station scene module 12 carries out the power generating value of selection equal according to the power output section of the new energy power station
Even design, to obtain several new energy power stations power output scene, then by the nest electricity objective function module 13 according to every
Under one new energy power station power output scene, practical power output when conventional power plant accesses each bus and it is corresponding it is specified go out
Power is established using most alveole electricity as the nest electricity objective function of target, finally by the nest electricity computing module 14 according to institute
Nest electricity objective function and constraint condition corresponding with the nest electricity objective function are stated, the nest electricity of partial electric grid is calculated
Amount is fully considering the influence of extensive new energy power output prediction error and different power station access digits in partial electric grid to realize
Under the influence of setting difference, the nest electricity of partial electric grid is calculated, effectively improves the precision of partial electric grid unit nest electricity calculating,
And then it ensure that the safe operation of electric system.
In addition, the partial electric grid unit nest electricity assessment computing device further includes multiple module/units, so that the office
Power grid unit nest electricity assessment computing device in portion's can be realized the assessment of the partial electric grid unit nest electricity in above-described embodiment and calculate
All processes of method, do not do more repeat herein.
As shown in figure 3, being another embodiment of partial electric grid unit nest electricity assessment computing device provided by the invention
Structural schematic diagram, the partial electric grid unit nest electricity assessment computing device specifically include:
At least one processor 21, memory 22, at least one network interface 23 or other users interface 24, at least one
A communication bus 25；The communication bus 25 is for realizing the connection communication between these components.Wherein, the user interface 24
It may include optionally USB interface and other standards interface, wireline interface.The network interface 23 optionally may include
Wi-Fi interface and other wireless interfaces.
In one embodiment, the memory 22 stores following element, executable modules or data structures, or
Their subset of person or their superset:
Operating system 221 includes various system programs, such as battery management system, for realizing various basic businesses
And the hardware based task of processing；
Computer program 222.
Specifically, the processor 21 is executed for calling the computer program 222 stored in the memory 22
Partial electric grid unit nest electricity described in above-described embodiment assesses calculation method, such as step S1-S4 shown in FIG. 1.
In embodiments of the present invention, the computer program can be divided into one or more module/units, and described one
A or multiple module/units are stored in the memory 22, and are executed by the processor 21, to complete the present invention.
One or more of module/units can be the series of computation machine program instruction section that can complete specific function, the instruction
Section is for describing implementation procedure of the computer program in partial electric grid unit nest electricity assessment computing device.It is described
Partial electric grid unit nest electricity assessment computing device may include, but be not limited only to, the processor 21 and memory 22.This field
Technical staff is appreciated that the schematic diagram is only the example of partial electric grid unit nest electricity assessment computing device, not structure
The restriction of pairs of partial electric grid unit nest electricity assessment computing device may include components more more or fewer than diagram, or
Certain components or different components are combined, such as institute's partial electric grid unit nest electricity assessment computing device can also include defeated
Enter output equipment, network access equipment, bus etc..
Alleged processor 21 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
The control centre of the partial electric grid unit nest electricity assessment computing device Deng, the processor 21, using various interfaces and
The various pieces of the entire partial electric grid unit nest electricity assessment computing device of connection.
The memory 22 can be used for storing the computer program and/or module, the processor 21 by operation or
Computer program and/or the module stored in the memory is executed, and calls the data being stored in memory, is realized
The various functions of the partial electric grid unit nest electricity assessment computing device.The memory 22 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.；Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 22 may include high-speed random access memory, it can also include non-volatile
Property memory, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital
(Secure Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other
Volatile solid-state part.
Wherein, if the partial electric grid unit nest electricity assesses the integrated module/unit of computing device with software function
The form of unit is realized and when sold or used as an independent product, can store in a computer-readable storage medium
In.Based on this understanding, the present invention realizes all or part of the process in above-described embodiment method, can also pass through computer
Program is completed to instruct relevant hardware, and the computer program can be stored in a computer readable storage medium, should
Computer program is when being executed by processor, it can be achieved that the partial electric grid unit nest electricity of above-described embodiment assesses calculation method
Step.Wherein, the computer program includes computer program code, and the computer program code can be source code shape
Formula, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium may include: that can take
Any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer with the computer program code are deposited
Reservoir, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access
Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the computer-readable medium
The content for including can carry out increase and decrease appropriate according to the requirement made laws in jurisdiction with patent practice, such as in certain departments
Method administrative area does not include electric carrier signal and telecommunication signal according to legislation and patent practice, computer-readable medium.
To sum up, the present invention provides a kind of partial electric grid unit nest electricity assessment calculation method, device and computer-readable deposits
Storage media is each new to obtain by obtaining the predicted value and prediction error of the new energy power station power output for accessing different buses
The power output section in energy power station, and uniform design is carried out to the power generating value of selection, to obtain several new energy power stations
It contributes scene, and according under the power output scene of new energy power station described at each, conventional power plant accesses reality when each bus
Power output and corresponding nominal output are established using most alveole electricity as the nest electricity objective function of target, finally according to the nest
Electricity objective function and constraint condition corresponding with the nest electricity objective function, are calculated the nest electricity of partial electric grid,
The influence of extensive new energy power output prediction error and different power station on-positions in partial electric grid are being fully considered to realize
Under the influence of difference, the nest electricity of partial electric grid is obtained, effectively improves the precision of partial electric grid unit nest electricity calculating, into
And it ensure that the safe operation of electric system.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and replacement can also be made, these are improved and replacement
Also it should be regarded as protection scope of the present invention.
Claims (9)
1. a kind of partial electric grid unit nest electricity assesses calculation method characterized by comprising
Obtain the predicted value and prediction error of each new energy power station power output, and the predicted value contributed according to the new energy power station
With the prediction error, the power output section of each new energy power station is obtained；Wherein, each new energy power station is respectively connected to not
Same bus；
Several power generating values are equably chosen from the power output section of each new energy power station, and to the power output of selection
Value carries out uniform design, to obtain several new energy power stations power output scene；
According under the power output scene of new energy power station described at each, practical power output when conventional power plant accesses each bus and
Conventional power plant accesses nominal output when each bus, establishes using most alveole electricity as the nest electricity objective function of target；
According to the nest electricity objective function and constraint condition corresponding with the nest electricity objective function, part is calculated
The nest electricity of power grid；Wherein, the constraint condition includes that static constraint under system initial state and system N-1 fault transient are steady
Conclude a contract or treaty beam.
2. partial electric grid unit nest electricity as described in claim 1 assesses calculation method, which is characterized in that the basis is every
Under one new energy power station power output scene, practical power output when conventional power plant accesses each bus and and conventional power plant connect
Enter nominal output when each bus, establish using most alveole electricity as the nest electricity objective function of target, specifically:
According under the power output scene of new energy power station described at each, practical power output when conventional power plant accesses each bus and
Conventional power plant accesses nominal output when each bus, establishes using most alveole electricity as the nest electricity objective function of target:
Wherein, min Δ PjTo contribute under scene in j-th of new energy power station, the most alveole electricity of partial electric grid；I is that access is conventional
I-th bus in power station；T is the sum for accessing the bus of conventional power plant；PieFor conventional power plant access i-th bus when it is specified
Power output；PI, jTo contribute under scene in j-th of new energy power station, conventional power plant accesses practical power output when i-th bus, 0≤j
≤ T, T are the sum of new energy power station power output scene.
3. partial electric grid unit nest electricity as claimed in claim 2 assesses calculation method, which is characterized in that described according to
The nest electricity of partial electric grid is calculated in nest electricity objective function and constraint condition corresponding with the nest electricity objective function
Amount, comprising:
Optimize using the nest electricity objective function and constraint condition corresponding with the nest electricity objective function as nest electricity
Model, and the nest electricity Optimized model is solved using particle algorithm, it obtains in each new energy power station power output scene
Under, the most alveole electricity of partial electric grid；
The average value for seeking the most alveole electricity under all new energy power station power output scenes, the nest electricity as the partial electric grid
Amount.
4. partial electric grid unit nest electricity as claimed in claim 3 assesses calculation method, which is characterized in that described with the nest
Electricity objective function and the constraint condition corresponding with the nest electricity objective function are as nest electricity Optimized model, and benefit
The nest electricity Optimized model is solved with particle algorithm, is obtained under each new energy power station power output scene, part electricity
The most alveole electricity of net, comprising the following steps:
S411, it contributes under scene in each described new energy power station, setting particle populations are X=[X1 … XM], particle xi
=[x1 … xt]；Wherein, M is the scale of population, particle xiMiddle jth dimension is reality when conventional power plant accesses j-th strip bus
Power output；
S412, examine whether the particle meets the constraint condition；
S413, when the particle meets the constraint condition, then be calculated by the following formula the fitness value of the particle, then
Execute step S415:
Wherein, fiFor the fitness value；PieNominal output when i-th bus is accessed for the conventional power plant；T is that access is normal
Advise the sum of the bus in power station；
S414, when the particle is unsatisfactory for the constraint condition, then be calculated by the following formula the fitness value of the particle,
Step S415 is executed again:
fi=α
Wherein, α is positive number；
S415, according to the fitness value, obtain the locally optimal solution of the particle and the globally optimal solution of the population；
S416, the particle is carried out more according to the locally optimal solution and the globally optimal solution, and by following formula
Newly, to obtain next-generation particle:
vij(t+1)=w (t) vij(t)+c1r1(XI, lb(j)-Xij(t))+c2r2(Xgb(j)-Xij(t))
If vij(t+1) > vJ, max, then vij(t+1)=vJ, max
If vij(t+1) < vJ, min, then vij(t+1)=vJ, min
xij(t+1)=xij(t)+vij(t+1)
If xij(t+1) > xJ, max, then xij(t+1)=Pje
If vij(t+1) 0 <, then xij(t+1)=0
Wherein, vijFor the corresponding speed of the particle；vJ, maxThe upper limit of corresponding speed is tieed up for the particle jth；vJ, minFor institute
State the lower limit that particle jth ties up corresponding speed；XI, lbFor the locally optimal solution of the particle；XgbFor the global optimum of the population
Solution；T is current the number of iterations；tmaxFor maximum number of iterations；w,c1、c2For inertia coeffeicent；winitialWhen for primary iteration, w
Value；wendWhen for last iteration, the value of w；PjeNominal output when j-th strip bus is accessed for conventional power plant；
S416, judge whether current iteration number is equal to preset maximum number of iterations；
S417, when the current the number of iterations is less than the maximum number of iterations, step S412 is executed, into changing next time
Generation circulation；
S418, when the current the number of iterations is equal to the maximum number of iterations, iteration stopping, and export the final of population
Globally optimal solution is contributed under scene as in corresponding new energy power station, the most alveole electricity of partial electric grid.
5. partial electric grid unit nest electricity as claimed in claim 4 assesses calculation method, which is characterized in that the system is initial
Static constraint under state includes node voltage amplitude constraint, line current constraint and transformer capacity constraint；The system N-1
Fault transient scleronomic constraint includes the constraint of system angle stability, system voltage scleronomic constraint, system frequency scleronomic constraint and system
Dynamic steady constraint；Then,
It is described to examine whether the particle meets the constraint condition, specifically:
Examine whether the particle meets the node voltage amplitude constraint, the line current respectively by AC power flow calculating
Constraint and transformer capacity constraint；
Examine whether the particle meets the system angle stability constraint, the system voltage is stablized respectively by transient emulation
The dynamic steady constraint of constraint, the system frequency scleronomic constraint and the system.
6. partial electric grid unit nest electricity as described in any one in claim 1-5 assesses calculation method, which is characterized in that described
The predicted value and prediction error of each new energy power station power output are obtained, and according to the predicted value of new energy power station power output and institute
Prediction error is stated, the power output section of each new energy power station is obtained, specifically:
According to the target operating conditions of the history data of each new energy power station and system, obtains each new energy power station and go out
The predicted value and prediction error of power；
According to the predicted value of each new energy power station power output and prediction error, and according to preset confidence level, each new energy is obtained
The power output section in source power station.
7. a kind of partial electric grid unit nest electricity assesses computing device, which is characterized in that including new energy power station power output section mould
Block, new energy power station power output scene module, nest electricity objective function module and nest electricity computing module；
The new energy power station power output section module, for obtaining the predicted value and prediction error of each new energy power station power output,
And the predicted value and the prediction error contributed according to the new energy power station, obtain the power output section of each new energy power station；
Wherein, each new energy power station is respectively connected to different buses；
The new energy power station power output scene module, for equably being chosen from the power output section of each new energy power station
Several power generating values, and uniform design is carried out to the power generating value of selection, so that obtaining several new energy power stations goes out the field of force
Scape；
The nest electricity objective function module, for according under the power output scene of new energy power station described at each, conventional power plant
Practical power output and conventional power plant when accessing each bus access nominal output when each bus, establish with most alveole electricity
For the nest electricity objective function of target；
The nest electricity computing module, for according to the nest electricity objective function and corresponding to the nest electricity objective function
Constraint condition, the nest electricity of partial electric grid is calculated；Wherein, the constraint condition includes the static state under system initial state
Constraint and system N-1 fault transient scleronomic constraint.
8. a kind of partial electric grid unit nest electricity assesses computing device, which is characterized in that including processor, memory and storage
In the memory and it is configured as the computer program executed by the processor, the processor executes the computer
Realize that the partial electric grid unit nest electricity as described in any one of claim 1 to 6 assesses calculation method when program.
9. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit require any one of 1 to 6 described in partial electric grid unit nest electricity assessment calculation method.
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