CN109636041A - A kind of unit maintenance analogy method and system suitable for large-scale complex power grid - Google Patents
A kind of unit maintenance analogy method and system suitable for large-scale complex power grid Download PDFInfo
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Abstract
The present invention relates to grid maintenance technical fields, provide a kind of unit maintenance analogy method and system suitable for large-scale complex power grid, and method includes: the original overhaul data for obtaining generating set；Hydropower Unit overhaul data is generated, original overhaul data is modified；Acquisition water power goes out force parameter and new energy goes out force parameter, is modified to the curve that meets equivalent in original overhaul data；The plan of interconnection power transmission is obtained, to region load curve each in original overhaul data；Obtain the constraint condition of the maintenance plan of each region, and original overhaul data is modified using the constraint condition of the maintenance plan of each region got, it generates and exports the overhaul data after optimization, to make the system of day part in optimizing cycle can be as equal as possible with the ratio of unit capacity and system loading, so that system has roughly the same reliability in day part.
Description
Technical field
The invention belongs to grid maintenance technical field more particularly to a kind of unit maintenance moulds suitable for large-scale complex power grid
Quasi- method and system.
Background technique
In recent years, being continuously increased with electric system scale, the addition of the intermittent energy sources such as wind-powered electricity generation, solar energy are big to advise
Construction of the mould across basin cascade hydropower stations, the access of the multiple types power supply such as nuclear power, hydroenergy storage station, gas turbine and electricity
Net the complexity that operation of power networks has all been significantly greatly increased in the factors such as the pattern of remote alternating current-direct current mixing transmission of electricity.How in complicated power supply
It optimizes the system operation under power grid environment, improves the energy saving economy of system, reduction system discharge intensity is faced as Electric Power Network Planning
Major issue.It is multi-party that the running optimizatin of power grid is related to peak-load regulating, complicated power supply architecture coordination, line section trend safety etc.
The factor in face, the analysis for typical operation modes are often only able to achieve the evaluation to security of system, and for system energy consumption,
Excessively rough for cost and discharge, needing can fine evaluation difference to the running simulation in power grid Long time scale
Energy saving, economy and the carbon intensity of management and running scheme.
Wherein, the maintenance of generating set is one of them important component part of above-mentioned operation of power networks optimization, currently, machine
The maintenance of group depends on the load curve progress that each period is netted by state, and accuracy is lower, and different zones is caused to be overhauled
The problems such as plan is spatially uncoordinated, and different type power maintenance scheduled time is uncoordinated.
Summary of the invention
For the defects in the prior art, the present invention provides a kind of unit maintenance simulations suitable for large-scale complex power grid
Method, it is intended to which the maintenance for solving unit in the prior art depends on the load curve progress that each period is netted by state, quasi-
True property is lower, causes different zones maintenance plan spatially uncoordinated, different type power maintenance scheduled time is uncoordinated
The problems such as.
The technical solution provided by the present invention is: a kind of unit maintenance analogy method suitable for large-scale complex power grid, institute
The method of stating includes the following steps:
From pre-generated complicated power generating facilities and power grids programme, the original overhaul data of generating set is obtained；
According to the reservoir of different zones come water, Hydropower Unit overhaul data is generated, and uses the hydroelectric machine generated
Group overhaul data is modified the original overhaul data；
Water power power output is obtained respectively according in pre-generated water power power output moving model and new energy power output moving model
Parameter and new energy go out force parameter, are modified to the equivalent curve that meets in the original overhaul data；
The plan of interconnection power transmission is obtained from the complicated power generating facilities and power grids programme, and is sent using the interconnection got
Electricity plan is to each region load curve in the original overhaul data；
The constraint condition of the maintenance plan of each region is obtained from the complicated power generating facilities and power grids programme, and use obtains
The constraint condition of the maintenance plan of each region got is modified the original overhaul data, after generating and exporting optimization
Overhaul data.
As an improvement scheme, it is described from pre-generated complicated power generating facilities and power grids programme, obtain generator
Further include following step before the step of original overhaul data of group:
Pre-generated water power power output moving model and new energy power output moving model.
As an improvement scheme, the step of pre-generated water power power output moving model specifically includes following steps
It is rapid:
Wind power output stochastic behaviour and wave characteristic are analyzed according to the history data of wind power plant, proposes that wind power plant is random
Characteristic key index and its calculation method；
The spatial coherence model between wind speed randomness, fluctuation and multizone is established, generation meets wind speed statistics
The wind speed time series of feature and spatial coherence；
Using Wind turbines power characteristic, the power producing characteristics of wind electric field blower are modeled, generate each wind power plant
The power output time series of blower.
As an improvement scheme, the step of pre-generated new energy power output moving model specifically includes following steps
It is rapid:
According to distribution character and stochastic behaviour that the Operational Data Analysis new energy of actual new energy resources system is contributed, to too
The certainty part of positive energy new energy power output is separately modeled with randomness part；
Feelings without any blockage are simulated by establishing global solar radiation model for the determination part of new energy power output
Under condition on the earth anywhere any time solar irradiation intensity, calculate new energy prediction power output upper limit value；
For the random partial of new energy power output, generation of electricity by new energy randomness part is modeled, establishes new energy screening
The probability Distribution Model for keeping off the factor obtains the random partial analogue value of new energy power output；
By superposition certainty with randomness part as a result, generating the power output time series of new energy resources system.
As an improvement scheme, the constraint condition of the maintenance plan include maintenance constraint, system operational safety about
Beam and percentage reserves is waited to constrain.
It is described another object of the present invention is to provide a kind of unit maintenance simulation system suitable for large-scale complex power grid
System includes:
Original overhaul data obtains module, for obtaining power generation from pre-generated complicated power generating facilities and power grids programme
The original overhaul data of unit；
Hydropower Unit overhaul data generation module generates Hydropower Unit inspection for the reservoir according to different zones come water
Repair data；
First correction module, for using the Hydropower Unit overhaul data of generation to carry out the original overhaul data
Amendment；
Second correction module, for according in pre-generated water power power output moving model and new energy power output moving model
Acquisition water power goes out force parameter respectively and new energy goes out force parameter, repairs to the equivalent curve that meets in the original overhaul data
Just；
It takes interconnection power transmission plan to obtain module, is sent for obtaining interconnection from the complicated power generating facilities and power grids programme
Electricity plan；
Third correction module, for using the interconnection power transmission plan got to each region in the original overhaul data
Load curve；
Constraint condition obtains module, based on from the maintenance for obtaining each region in the complicated power generating facilities and power grids programme
The constraint condition drawn；
4th correction module, for use each region got maintenance plan constraint condition to the original inspection
Data are repaired to be modified；
Overhaul data generates output module, for correcting mould according to first correction module, the second correction module, third
The amendment of block and the 4th correction module to the original overhaul data generates and exports the overhaul data after optimization.
As an improvement scheme, the system also includes:
Water power power output moving model generation module, for pre-generating water power power output moving model；
New energy power output moving model generation module, for pre-generating new energy power output moving model.
As an improvement scheme, water power power output moving model generation module specifically includes:
Key index proposes module, for analyzing wind power output stochastic behaviour and wave according to the history data of wind power plant
Dynamic characteristic proposes wind power plant stochastic behaviour key index and its calculation method；
Wind speed time series generation module, the space phase for establishing between wind speed randomness, fluctuation and multizone
Closing property model, generates the wind speed time series for meeting wind speed statistical nature and spatial coherence；
Power output time series generation module, for utilizing Wind turbines power characteristic, to the power output of wind electric field blower
Characteristic is modeled, and the power output time series of each wind electric field blower is generated.
As an improvement scheme, new energy power output moving model generation module specifically includes:
Control module is separately modeled, point for contributing according to the Operational Data Analysis new energy of actual new energy resources system
Cloth characteristic and stochastic behaviour separately model the certainty part of solar energy new energy power output with randomness part；
Upper limit value computing module, for the determination part for new energy power output, by establishing global solar radiation model,
In the case of simulating without any blockage on the earth anywhere any time solar irradiation intensity, calculate new energy and predict
The upper limit value of power；
Random partial analogue value computing module, the random partial for contributing for new energy are random to generation of electricity by new energy
Property part modeled, establish the probability Distribution Model of new energy occlusion coefficient, obtain new energy power output random partial simulation
Value；
New energy power output time series generation module, for by being superimposed certainty with randomness part as a result, generating
The power output time series of new energy resources system.
As an improvement scheme, the constraint condition of the maintenance plan include maintenance constraint, system operational safety about
Beam and percentage reserves is waited to constrain.
In embodiments of the present invention, from pre-generated complicated power generating facilities and power grids programme, the original of generating set is obtained
Beginning overhaul data；According to the reservoir of different zones come water, Hydropower Unit overhaul data is generated, and uses the water power generated
Unit maintenance data are modified the original overhaul data；According to pre-generated water power power output moving model and new energy
Obtain that water power goes out force parameter and new energy goes out force parameter respectively in power output moving model, to equivalent symbol in the original overhaul data
Curve is closed to be modified；Obtain the plan of interconnection power transmission from the complicated power generating facilities and power grids programme, and using getting
The plan of interconnection power transmission is to each region load curve in the original overhaul data；From the complicated power generating facilities and power grids programme
Obtain the constraint condition of the maintenance plan of each region, and the constraint condition pair of the maintenance plan using each region got
The original overhaul data is modified, and is generated and is exported the overhaul data after optimization, to make day part in optimizing cycle
System can be as equal as possible with the ratio of unit capacity and system loading so that system have in day part it is roughly the same reliable
Property.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the implementation flow chart of the unit maintenance analogy method provided by the invention suitable for large-scale complex power grid；
Fig. 2 is the implementation flow chart of pre-generated water power power output moving model provided by the invention；
Fig. 3 is the implementation flow chart of pre-generated new energy power output moving model provided by the invention；
Fig. 4 is the structural block diagram of the unit maintenance simulation system provided by the invention suitable for large-scale complex power grid；
Fig. 5 is the structural block diagram of water power power output moving model generation module provided by the invention；
Fig. 6 is the structural block diagram of new energy power output moving model generation module provided by the invention.
Specific embodiment
It is described in detail below in conjunction with embodiment of the attached drawing to technical solution of the present invention.Following embodiment is only used for
Clearly illustrate of the invention, technical solution, therefore be only used as example, and cannot be used as a limitation and limit protection model of the invention
It encloses.
Fig. 1 is the implementation flow chart of the unit maintenance analogy method provided by the invention suitable for large-scale complex power grid,
Specifically include the following steps:
In step s101, from pre-generated complicated power generating facilities and power grids programme, the original inspection of generating set is obtained
Repair data.
In step s 102, Hydropower Unit overhaul data is generated come water according to the reservoir of different zones, and uses generation
The Hydropower Unit overhaul data the original overhaul data is modified.
In step s 103, distinguish according in pre-generated water power power output moving model and new energy power output moving model
Acquisition water power goes out force parameter and new energy goes out force parameter, is modified to the equivalent curve that meets in the original overhaul data.
In step S104, the plan of interconnection power transmission is obtained from the complicated power generating facilities and power grids programme, and use obtains
The interconnection power transmission plan got is to each region load curve in the original overhaul data.
In step s105, the constraint of the maintenance plan of each region is obtained from the complicated power generating facilities and power grids programme
Condition, and the original overhaul data is modified using the constraint condition of the maintenance plan of each region got, it is raw
At and export optimization after overhaul data.
Wherein, in the overhaul data after the optimization of generation, year, each day percentage reserve difference was as small as possible, met following mathematics
Calculating formula:
In formula: NT is period sum in the optimized maintenance period；The system reserve rate of respectively i, j period.
In embodiments of the present invention, following step is also needed to be implemented before executing above-mentioned steps S101:
Pre-generated water power power output moving model and new energy power output moving model；
Wherein, as shown in Fig. 2, the step of pre-generated water power power output moving model specifically include the following steps:
In step s 201, wind power output stochastic behaviour and wave characteristic are analyzed according to the history data of wind power plant,
It is proposed wind power plant stochastic behaviour key index and its calculation method.
In step S202, the spatial coherence model between wind speed randomness, fluctuation and multizone is established, is generated
Meet the wind speed time series of wind speed statistical nature and spatial coherence.
In step S203, using Wind turbines power characteristic, the power producing characteristics of wind electric field blower are modeled,
Generate the power output time series of each wind electric field blower.
In this embodiment, wind speed the simulation thinking of wind power output running simulation: is surveyed according to windy electric field history first
Data (can also go out force data by wind power plant history to convert to obtain) are fitted the scale parameter of wind speed Weibull distribution and shape is joined
Number, wind speed correlation matrix between wind farm wind velocity sequence auto-correlation coefficient, windy electric field；Simultaneously according to windy electric field history
Air speed data is surveyed, the seasonality and regularity in a few days of wind farm wind velocity is considered, is fitted in a few days each hourly average of wind power plant
Wind speed mark curve, with each monthly average wind speed mark curve.Then, using this key technology of stochastic differential equation, consider wind
The stochastic behaviour and spatial coherence of speed establish stochastic differential equation simulation model, and it is random that simulation generation meets historical data
The wind speed time series of feature.Then, while considering the power characteristic of Wind turbines and stopping transport at random, to generate each
The power output time series of wind electric field blower.
The method for generating output of wind electric field time series is simulated using stochastic differential equation to be described below:
If probability density function f (x) is that non-negative, continuous and variance is limited in its domain (l, u), mathematic expectaion
E (x)=u, for stochastic differential equation
Wherein θ >=0, WtFor standard Brownian movement, v (Xt) it is defined in the nonnegative function on (l, u):
Then just like drawing a conclusion:
Random process X is each state experience (ergodic) and probability density function is f (x).
Random process X is mean regression (mean-reverting) and its auto-correlation function meets:
corr(Xs+t,Xs)=e-θt,s,t≥0
Using the time series of this method simulation wind speed, if it is respectively c and k that wind speed, which meets scale parameter and form parameter,
Weibull distribution:
Then, u is mean wind speed:
Wherein, F (x) is the corresponding distribution function of f (x), and Γ (a) is gamma function, and θ is taken as the auto-correlation decaying of wind power plant
Coefficient:
Γ (x, a), x >=0 are incomplete gamma functions:
If generating the relevant wind farm wind velocity of multiple wind speed, need to firstly generate the relevant Brownian movement W of multidimensionalt, respectively tie up Wt
It is standard Brownian movement, correlation matrix is equal to wind farm wind velocity correlation matrix between each dimension.And then utilize Wt
Each dimension component generates each wind farm wind velocity sequence.
Wind farm wind velocity sequence is not completely random process, to due to climate reasons, Various Seasonal wind power plant location
Velocity wind levels are different, and have certain rule (such as winter small, summer big), in a few days, due to wind power plant location earth's surface temperature
The difference of degree and cause in a few days different moments mean wind speed it is different (as big at night, daytime is small), for the season for considering wind farm wind velocity
Section property and regularity in a few days, to the wind series generated at randomIt is modified.Final output of wind electric field can be determined by following formula:
Wherein: PitFor wind power plant i t moment power output；nitFor wind power plant i t moment available blower rate；ηiFor wind-powered electricity generation
Field wake effect coefficient；CiIt (g) is Wind turbines power producing characteristics curve；kihAnd kimThe respectively day characteristic and Seasonal Characteristics of wind speed
Correction factor.
Ci(g) it is usually obtained by following formula:
Wherein, vin, vratedWith voutRespectively Wind turbines incision wind speed, rated wind speed and cut-out wind speed.R is wind-powered electricity generation volume
Make power.
In embodiments of the present invention, it is specifically included down the step of moving model as shown in figure 3, pre-generated new energy is contributed
State step:
In step S301, according to the Operational Data Analysis new energy of actual new energy resources system power output distribution character with
Stochastic behaviour separately models the certainty part of solar energy new energy power output with randomness part；
In step s 302, it is simulated for the determination part of new energy power output by establishing global solar radiation model
In the case of without any blockage on the earth anywhere any time solar irradiation intensity, calculate new energy prediction power output it is upper
Limit value；
In step S303, for the random partial of new energy power output, generation of electricity by new energy randomness part is modeled,
The probability Distribution Model for establishing new energy occlusion coefficient obtains the random partial analogue value of new energy power output；
In step s 304, by being superimposed certainty with randomness part as a result, when generating the power output of new energy resources system
Between sequence.
Wherein, new energy power output model are as follows:
PstcIt is the nominal output of solar panel, is defined as the power output (standard of solar panel under standard conditions
Under the conditions of intensity of solar radiation Istc=1000W/m2, temperature Tstc=25 DEG C), by the definition of solar panel nominal output
It is found that when actual intensity of solar radiation is greater than the intensity of solar radiation under standard conditions, the power output meeting of solar panel
Greater than its nominal output；I0tRepresentative is not considering atmosphere to enchancement factors such as the scattering process of sunlight and cloud covers to too
In the case where the weakening effect of positive irradiation intensity, exoatmosphere plane solar irradiation only becomes with the relative position of the sun and the earth
Change related.ktFor clearness index, it is defined as Earth surface plane global radiation ItWith exoatmosphere plane intensity of solar radiation I0tBetween
Ratio: kt=It/I0t, wherein ItFor the irradiation intensity (including direct projection and scattering) of t period Earth surface plane.ktMainly by cloud
The influence of the factors such as layer blocks, Changes in weather and height above sea level.RtIndicate the intensity of solar radiation and earth's surface on the period inclined surface t
The ratio of total irradiation intensity of plane, the cosine value and the floor sun of incidence angle of the about equal sun of numerical value on inclined-plane
The ratio between cosine value of incidence angle, changing rule and photovoltaic panel placement tilt angle, photovoltaic panel trace mode are (fixed, horizontal
Tracking, sloping shaft tracking or twin shaft tracking) it is related；I(Rt,kt,I0t) indicate consider solar irradiation (direct projection, scattering and instead
Penetrate), total irradiation after clearness index and the photovoltaic panel tracking factors such as type in photovoltaic panel.T represents atmospheric degree, αTIt is solar energy
The temperature power coefficient of solar panel.
The key of new energy power output simulation is to I0t、kt、RtWith the simulation of T.The unobstructed illumination I of horizontal plane0tWith the sun
Energy photovoltaic panel geographical location and season and in a few days moment etc. are related, can be calculated by global solar irradiation model, clear sky refers to
Number ktIt is mainly influenced by factors such as cloud cover, Changes in weather and height above sea level, there is very strong intermittent and randomness, be
The probabilistic main source of photovoltaic power output needs to realize using stochastic simulation.Meanwhile multiple photovoltaic electrics similar in geographical location
The clearness index stood has very strong correlation, therefore the sampling for correlation being accounted for using random differential equation models.
RtPlacement mainly by photovoltaic panel itself is related with trace mode, needs to derive entering for sunlight under photovoltaic panel difference trace mode
Firing angle.Temperature T has certain randomness, but its simulation and data collection are more difficult, and αTValue it is typically small, therefore temperature
It is also relatively small to spend the influence contributed to photovoltaic, in model proposed in this paper, influence temperature will be ignored contributing to photovoltaic.
It is proposed that the simulation thinking of new energy power output is as follows:
1) data acquisition, light area essential information include the geography information in light area, and the auto-correlation coefficient of intensity of solar radiation is fine
The basic parameter etc. of empty exponential probability model.
2) it is equipped with the area NGe Guang, generates multiple dependents comprising do not share the same light interval connection and each smooth area's autocorrelation
Normal distribution time series Xm(t)=xm1,t,xm2,t,L,xmN,t, wherein m indicates the number of simulation.
3) probability distribution of each smooth area day type is obtained first, and not maximum clearness index corresponding to type on the same day.
It is sampled according to the probability distribution of day type, the clearness index time series K in area of not shared the same lightth,m(t)=km1,t,km2,t,
L,kmN,t, the CDF of the intensity of solar radiation under different clearness indexes is calculated according to the probabilistic model of clearness index, is usedIt indicates.
4) X is utilizedm(t) andIt is sampled, the time series I for area's intensity of solar radiation of not shared the same lightm(t)
=im1,t,im2,t,L,imN,t。
5) I is utilizedm(t) it is contributed according to the photovoltaic plant that the power output formula of different type photovoltaic array calculates each smooth area.
6) above-mentioned process is repeated, until number realization m is equal to given number M.Seek the average value P of M calculated resultAV
(t), one group of calculated result closest to average value is taken to be exported as final analog result P (t).
In embodiments of the present invention, the constraint condition of the maintenance plan includes maintenance constraint, the constraint of system operational safety
And percentage reserves is waited to constrain, in which:
(1) maintenance constraint include maintenance declare constraint, maintenance resource constraint, maintenance mutual exclusion constraint, maintenance simultaneously constraint with
And maintenance count constraint；
(2) constraint of system operational safety includes system reserve constraint, zonal reserve constraint, peak-load regulating constraint, subregion tune
Peak constraint.
Maintenance needs to consider the reconciling spatial scale and different type power maintenance scheduled time of different zones maintenance plan
Coordination optimization problem.In brief, maintenance result needs to guarantee that on space scale, the unit reserve capacity in different provinces is sufficient；
The wet season avoids arranging Hydropower Unit maintenance in time scale, avoids abandoning water；When winter-spring season wind power output is larger, foot should ensure that
Enough regulating units capacity.
Fig. 4 shows the structural block diagram of the unit maintenance simulation system provided by the invention suitable for large-scale complex power grid,
For ease of description, part related to the embodiment of the present invention is only gived in figure.
Unit maintenance simulation system suitable for large-scale complex power grid includes:
Original overhaul data obtains module 11, for obtaining hair from pre-generated complicated power generating facilities and power grids programme
The original overhaul data of motor group；
Hydropower Unit overhaul data generation module 12 generates Hydropower Unit for the reservoir according to different zones come water
Overhaul data；
First correction module 13, for use the Hydropower Unit overhaul data of generation to the original overhaul data into
Row amendment；
Second correction module 14, for according to pre-generated water power power output moving model and new energy power output moving model
The middle water power of acquisition respectively goes out force parameter and new energy goes out force parameter, repairs to the equivalent curve that meets in the original overhaul data
Just；
Interconnection power transmission plan is taken to obtain module 15, for obtaining interconnection from the complicated power generating facilities and power grids programme
Power transmission plan；
Third correction module 16, for using the interconnection power transmission plan got to the area original overhaul data Zhong Ge
Domain load curve；
Constraint condition obtains module 17, for obtaining the maintenance of each region from the complicated power generating facilities and power grids programme
The constraint condition of plan；
4th correction module 18, for use each region got maintenance plan constraint condition to described original
Overhaul data is modified；
Overhaul data generates output module 19, for being corrected according to first correction module, the second correction module, third
The amendment of module and the 4th correction module to the original overhaul data generates and exports the overhaul data after optimization.
In this embodiment, the system also includes:
Water power power output moving model generation module 20, for pre-generating water power power output moving model；
New energy power output moving model generation module 21, for pre-generating new energy power output moving model.
Wherein, as shown in figure 5, water power power output moving model generation module 20 specifically includes:
Key index propose module 22, for according to the history data of wind power plant analyze wind power output stochastic behaviour with
Wave characteristic proposes wind power plant stochastic behaviour key index and its calculation method；
Wind speed time series generation module 23, the space for establishing between wind speed randomness, fluctuation and multizone
Correlation models generate the wind speed time series for meeting wind speed statistical nature and spatial coherence；
Time series generation module 24 of contributing goes out wind electric field blower for utilizing Wind turbines power characteristic
Force characteristic is modeled, and the power output time series of each wind electric field blower is generated.
As shown in fig. 6, the new energy power output moving model generation module 21 specifically includes:
Control module 25 is separately modeled, for what is contributed according to the Operational Data Analysis new energy of actual new energy resources system
Distribution character and stochastic behaviour separately model the certainty part of solar energy new energy power output with randomness part；
Upper limit value computing module 26, for the determination part for new energy power output, by establishing global solar radiation mould
Type, in the case of simulating without any blockage on the earth anywhere any time solar irradiation intensity, it is pre- to calculate new energy
Measure the upper limit value of power；
Random partial analogue value computing module 27, the random partial for contributing for new energy, to generation of electricity by new energy with
Machine part is modeled, and the probability Distribution Model of new energy occlusion coefficient is established, and obtains the random partial mould of new energy power output
Analog values；
New energy power output time series generation module 28, for by being superimposed certainty with randomness part as a result, raw
At the power output time series of new energy resources system.
Wherein, the function of above-mentioned modules is as recorded in above method embodiment, and details are not described herein.
In embodiments of the present invention, from pre-generated complicated power generating facilities and power grids programme, the original of generating set is obtained
Beginning overhaul data；According to the reservoir of different zones come water, Hydropower Unit overhaul data is generated, and uses the water power generated
Unit maintenance data are modified the original overhaul data；According to pre-generated water power power output moving model and new energy
Obtain that water power goes out force parameter and new energy goes out force parameter respectively in power output moving model, to equivalent symbol in the original overhaul data
Curve is closed to be modified；Obtain the plan of interconnection power transmission from the complicated power generating facilities and power grids programme, and using getting
The plan of interconnection power transmission is to each region load curve in the original overhaul data；From the complicated power generating facilities and power grids programme
Obtain the constraint condition of the maintenance plan of each region, and the constraint condition pair of the maintenance plan using each region got
The original overhaul data is modified, and is generated and is exported the overhaul data after optimization, to make day part in optimizing cycle
System can be as equal as possible with the ratio of unit capacity and system loading so that system have in day part it is roughly the same reliable
Property.
The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；Although referring to aforementioned each reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified, or equivalent substitution of some or all of the technical features；And
These are modified or replaceed, the range for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution,
It should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of unit maintenance analogy method suitable for large-scale complex power grid, which is characterized in that the method includes following steps
It is rapid:
From pre-generated complicated power generating facilities and power grids programme, the original overhaul data of generating set is obtained；
According to the reservoir of different zones come water, Hydropower Unit overhaul data is generated, and is examined using the Hydropower Unit generated
Data are repaired to be modified the original overhaul data；
Go out force parameter according to water power is obtained respectively in pre-generated water power power output moving model and new energy power output moving model
Go out force parameter with new energy, the equivalent curve that meets in the original overhaul data is modified；
The plan of interconnection power transmission is obtained from the complicated power generating facilities and power grids programme, and uses the interconnection power transmission meter got
It draws to each region load curve in the original overhaul data；
The constraint condition of the maintenance plan of each region is obtained from the complicated power generating facilities and power grids programme, and use is got
The constraint condition of maintenance plan of each region the original overhaul data is modified, generate and export the inspection after optimization
Repair data.
2. the unit maintenance analogy method according to claim 1 suitable for large-scale complex power grid, which is characterized in that described
From pre-generated complicated power generating facilities and power grids programme, further include before the step of obtaining the original overhaul data of generating set
Following step:
Pre-generated water power power output moving model and new energy power output moving model.
3. the unit maintenance analogy method according to claim 2 suitable for large-scale complex power grid, which is characterized in that described
The step of pre-generated water power power output moving model specifically include the following steps:
Wind power output stochastic behaviour and wave characteristic are analyzed according to the history data of wind power plant, proposes wind power plant stochastic behaviour
Key index and its calculation method；
The spatial coherence model between wind speed randomness, fluctuation and multizone is established, generation meets wind speed statistical nature
With the wind speed time series of spatial coherence；
Using Wind turbines power characteristic, the power producing characteristics of wind electric field blower are modeled, generate each wind electric field blower
Power output time series.
4. the unit maintenance analogy method according to claim 2 or 3 suitable for large-scale complex power grid, which is characterized in that
The step of pre-generated new energy power output moving model specifically include the following steps:
According to distribution character and stochastic behaviour that the Operational Data Analysis new energy of actual new energy resources system is contributed, to solar energy
The certainty part of new energy power output is separately modeled with randomness part；
For the determination part of new energy power output, by establishing global solar radiation model, in the case of simulating without any blockage
The solar irradiation intensity of anywhere any time on the earth calculates the upper limit value of new energy prediction power output；
For new energy power output random partial, generation of electricity by new energy randomness part is modeled, establish new energy block because
The probability Distribution Model of son obtains the random partial analogue value of new energy power output；
By superposition certainty with randomness part as a result, generating the power output time series of new energy resources system.
5. the unit maintenance analogy method according to claim 1 suitable for large-scale complex power grid, which is characterized in that described
The constraint condition of maintenance plan includes maintenance constraint, the constraint of system operational safety and percentage reserves is waited to constrain.
6. a kind of unit maintenance simulation system suitable for large-scale complex power grid, which is characterized in that the system comprises:
Original overhaul data obtains module, for obtaining generating set from pre-generated complicated power generating facilities and power grids programme
Original overhaul data；
Hydropower Unit overhaul data generation module generates Hydropower Unit and overhauls number for the reservoir according to different zones come water
According to；
First correction module, for being repaired using the Hydropower Unit overhaul data of generation to the original overhaul data
Just；
Second correction module, for distinguishing according in pre-generated water power power output moving model and new energy power output moving model
Acquisition water power goes out force parameter and new energy goes out force parameter, is modified to the equivalent curve that meets in the original overhaul data；
Interconnection power transmission plan is taken to obtain module, by obtaining based on interconnection power transmission from the complicated power generating facilities and power grids programme
It draws；
Third correction module, for using the interconnection power transmission plan got to each region load in the original overhaul data
Curve；
Constraint condition obtains module, for the maintenance plan of acquisition each region from the complicated power generating facilities and power grids programme
Constraint condition；
4th correction module, for use each region got maintenance plan constraint condition to the original maintenance number
According to being modified；
Overhaul data generate output module, for according to first correction module, the second correction module, third correction module with
And the 4th amendment of the correction module to the original overhaul data, it generates and exports the overhaul data after optimization.
7. the unit maintenance simulation system according to claim 6 suitable for large-scale complex power grid, which is characterized in that described
System further include:
Water power power output moving model generation module, for pre-generating water power power output moving model；
New energy power output moving model generation module, for pre-generating new energy power output moving model.
8. the unit maintenance simulation system according to claim 7 suitable for large-scale complex power grid, which is characterized in that described
Water power power output moving model generation module specifically includes:
Key index proposes module, for analyzing wind power output stochastic behaviour and fluctuation spy according to the history data of wind power plant
Property, propose wind power plant stochastic behaviour key index and its calculation method；
Wind speed time series generation module, the spatial coherence for establishing between wind speed randomness, fluctuation and multizone
Model generates the wind speed time series for meeting wind speed statistical nature and spatial coherence；
Power output time series generation module, for utilizing Wind turbines power characteristic, to the power producing characteristics of wind electric field blower
It is modeled, generates the power output time series of each wind electric field blower.
9. the unit maintenance simulation system according to claim 7 or 8 suitable for large-scale complex power grid, which is characterized in that
The new energy power output moving model generation module specifically includes:
Control module is separately modeled, the distribution for contributing according to the Operational Data Analysis new energy of actual new energy resources system is special
Property and stochastic behaviour, to solar energy new energy power output certainty part separately modeled with randomness part；
Upper limit value computing module, for the determination part for new energy power output, by establishing global solar radiation model, simulation
Out without any blockage in the case of on the earth anywhere any time solar irradiation intensity, calculate new energy prediction power output
Upper limit value；
Random partial analogue value computing module, the random partial for contributing for new energy, to generation of electricity by new energy randomness portion
Divide and modeled, establish the probability Distribution Model of new energy occlusion coefficient, obtains the random partial analogue value of new energy power output；
New energy power output time series generation module, for by being superimposed certainty with randomness part as a result, generating new energy
The power output time series of source system.
10. the unit maintenance according to claim 6 suitable for large-scale complex power grid is simulated, which is characterized in that the inspection
The constraint condition for repairing plan includes maintenance constraint, the constraint of system operational safety and percentage reserves is waited to constrain.
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