CN110417002A - A kind of optimization method of isolated island microgrid energy model - Google Patents
A kind of optimization method of isolated island microgrid energy model Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The invention discloses a kind of optimization methods of isolated island microgrid energy model, belong to isolated island microgrid energy optimization field, specifically include: establishing isolated island microgrid energy model；Using present period as first period in isolated island microgrid energy model optimization period, optimizing cycle is divided into multiple periods, and obtains the predicted value of the corresponding scene prediction power output of day part and load power；According to the scene prediction power output of day part and 1 stage load accounting, the confidence level of the corresponding positive Reserve Constraint of day part and the confidence level of negative Reserve Constraint in isolated island microgrid energy model are calculated；According to the confidence level of positive and negative Reserve Constraint, the predicted value of scene prediction power output and load power, isolated island microgrid energy model is updated；One optimizing cycle is divided into multiple periods to the present invention and day part length is not fixed, and the confidence level that scene prediction power output and positive and negative Reserve Constraint are updated on the basis of the period updates isolated island microgrid energy model；Reduce the operating cost of isolated island micro-capacitance sensor.
Description
Technical field
The invention belongs to isolated island microgrid energies to optimize field, more particularly, to a kind of isolated island microgrid energy model
Optimization method.
Background technique
The excessive development and utilization of fossil energy bring serious resource exhaustion and problem of environmental pollution, global energy situation
It is increasingly severeer.Renewable energy power generation is all being greatly developed in countries in the world, and by distributed generation resource, energy-storage units and load etc.
The micro-capacitance sensor of composition is also receive more and more attention.
Micro-grid operation mode is flexible, usually both may operate in grid connection state, carries out Power Exchange with external electrical network, again
It can be used as a completely self-contained islanded system and operate in off-network state.But for the microgrid under certain special scenes, such as
The remote small-sized island of bank, remote pasture and frontier sentry, can only self-government operations without bulk power grid overlay area.For above-mentioned isolated island
Microgrid, due to not having bulk power grid support, and distributed generation resource and charge prediction still have certain error, how to guarantee system peace
Renewable energy is made full use of while full stable operation, is increased economic efficiency, and urgent problem to be solved is become.
The prior art carries out energy source optimization to isolated island micro-capacitance sensor from the angle of optimization mostly, such as minimum with operating cost
Target establishes operation constraint, then solves and obtain energy optimal control strategy；Current techniques are micro- for the isolated island containing energy-accumulating power station
The application scenarios such as power grid, remote mountain areas, in the base for considering the factors such as energy storage device service life (use cost), diesel engine working efficiency
On plinth, have studied containing wind, light, bavin, storage micro-grid system day operation energy hole optimisation strategy；In view of isolated island micro-capacitance sensor
The characteristics of, energy management research, which still faces, some cannot be neglected challenge: first is that due to remote districts, island, frontier sentry
It waits electric power scene bad environments and weather condition changes greatly, and the output quantity of photovoltaic generating system and weather conditions and environment
Factor is closely related, and therefore, precision of prediction will affect the economy and safety of the scheduling of micro-grid system energy, but present energy
Optimisation technique does not consider to predict error and precision of prediction mostly；Second is that current techniques can not achieve the dynamic self-adapting tune of confidence level
Section, so that its charge and discharge period of energy storage reasonable arrangement, reduces the operating cost of isolated island micro-grid system.
Therefore, the prior art can not achieve the economical operation of isolated island micro-capacitance sensor, need further to study isolated island micro-capacitance sensor energy
Optimal Control Strategy is measured, adjusts distributed power generations with energy-storage units dynamic self-adapting charge and discharge more when realizing change in weather
Energy supply and demand caused by fluctuation and sudden load change changes, and isolated island micro-capacitance sensor operating cost is effectively reduced.
Summary of the invention
In view of the drawbacks of the prior art, the purpose of the present invention is to provide a kind of optimization sides of isolated island microgrid energy model
Method, it is intended to solve the energy of the isolated island micro-capacitance sensor because of caused by distributed power generation fluctuation caused by existing change in weather and sudden load change
Supply and demand variation is measured, the higher problem of isolated island micro-capacitance sensor operating cost is caused.
To achieve the above object, the present invention provides a kind of optimization methods of isolated island microgrid energy model, comprising:
(1) the source lotus uncertainty models based on triangular fuzzy variable, power-balance constraint, positive and negative Reserve Constraint, diesel oil
Generator operation constraint, energy-accumulating power station SoC constraint, it is minimum with operation totle drilling cost of the isolated island micro-grid system in optimizing cycle
Objective function establishes isolated island microgrid energy model；
(2) using present period as first period in isolated island microgrid energy model optimization period, optimizing cycle is divided into
Multiple periods, and obtain the predicted value of the corresponding scene prediction power output of day part and load power；
The present period is the period where current time；The day part length is not fixed；
(3) according to the scene prediction power output of day part and 1 stage load accounting, when calculating each in isolated island microgrid energy model
The confidence level of the corresponding positive Reserve Constraint of section and the confidence level of negative Reserve Constraint；
(4) according to the confidence level of the corresponding positive Reserve Constraint of day part, the confidence level of negative Reserve Constraint, scene prediction power output
With the predicted value of load power, isolated island microgrid energy model is updated；
Updated isolated island microgrid energy model is for exporting the corresponding optimized variable of day part in optimizing cycle；
(5) if current time enters the subsequent period of optimizing cycle, using subsequent period as the micro- electricity of updated isolated island
The present period of network energy model repeats step (2)~(4)；
Scene prediction power output includes: the predicted value of wind power and the predicted value of photovoltaic power；
Optimized variable includes: the output power of diesel engine；The generated output of energy-accumulating power station；The charge power of energy-accumulating power station.
Preferably, the source lotus uncertainty models of triangular fuzzy variable are as follows:
Wherein,WithRespectively wind-powered electricity generation prediction error ambiguity, photovoltaic prediction error ambiguity and load prediction
Error ambiguity；WithRespectively wind power the predicted value of t period, photovoltaic power the t period prediction
Value and load power the t period predicted value；kW,kPVAnd kLRespectively wind power output prediction error degree of membership parameter, photovoltaic go out
Power predicts error degree of membership parameter and load prediction error degree of membership parameter；WithRespectively wind power exists
The Fuzzy Representation of t period predicted value, photovoltaic power t period predicted value Fuzzy Representation and load power the t period prediction
The Fuzzy Representation of value；
Preferably, the objective function in isolated island microgrid energy model are as follows:
MinC=CDG+CESS
Wherein, C indicates operation totle drilling cost of the isolated island micro-grid system in optimizing cycle；CDGFor diesel-driven generator operation at
This；CESSFor energy-accumulating power station operating cost；
Preferably, power-balance constraint are as follows:
Wherein, PG(t) indicate diesel engine in the output power of period t；PEg(t) indicate energy-accumulating power station in the power generation of t period
Power；WithWind power is respectively indicated in the fuzzy expectation of t period, photovoltaic power in t
Section fuzzy expectation and load power the t period fuzzy expectation；PEc(t) indicate energy-accumulating power station in the charge power of t period；
PRL(t) indicate transferable load in the power of t period；
Preferably, positive and negative Reserve Constraint are as follows:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；PG upAnd PG downRespectively bavin
The unit time of fry dried food ingredients motor climb upwards power and downwards climbing power；αupAnd αdownBe positive the confidence level of Reserve Constraint respectively
With the confidence level of negative Reserve Constraint；uEg(t) energy-accumulating power station discharge condition is indicated, 1 indicates electric discharge, and 0 indicates not discharge；uEc(t) table
Show energy-accumulating power station charged state, 1 indicates charging, and 0 indicates uncharged；CrThe size of () expression confidence level；Rup(t)、Rdown(t)
For intermediate variable；
Preferably, diesel-driven generator operation constraint:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；Tt onAnd Tt offIt respectively indicates
Continuous working period and lasting downtime of the diesel-driven generator before period t；PG upAnd PG downThe respectively list of diesel-driven generator
Position the time climb upwards power and downwards climbing power；PG(t) indicate diesel engine in the output power of period t；PG(t-1) it indicates
Output power of the diesel engine in period t；
Preferably, energy-accumulating power station SoC is constrained are as follows:
Wherein, SOC (t) indicates energy-accumulating power station in the state-of-charge of t period；SOC (t+1) indicates energy-accumulating power station in t+1
The state-of-charge of section；SOCmin、SOCmaxRespectively minimum state-of-charge and maximum state-of-charge of the energy-accumulating power station in the t period；δE
For energy-accumulating power station self-discharge rate；QEFor energy-accumulating power station total capacity；ηcAnd ηgThe respectively charge and discharge efficiency of energy-accumulating power station；SOC(0)
It is respectively the optimizing cycle initial charge state and end state-of-charge of isolated island micro-capacitance sensor with SOC (T).
Preferably, the method for an optimizing cycle being divided into multiple periods in step (2) are as follows:
First hour in optimizing cycle is divided into 12 5 minutes interval periods；It is at timed intervals 1 after 1 hour
Hour divides a period；Wherein, an optimizing cycle is 24 hours；
Preferably, the confidence level of the confidence level of positive Reserve Constraint and negative Reserve Constraint are as follows:
Wherein, αupAnd αdownThe confidence level of Reserve Constraint that is positive respectively and the confidence level of negative Reserve Constraint；WithRespectively wind power is in the predicted value of t period, photovoltaic power in the predicted value of t period and negative
Predicted value of the lotus power in the t period；kα1、kα1'、kα2、kα2' it is proportionality coefficient；α0For constant term.
Contemplated above technical scheme through the invention, compared with prior art, can obtain it is following the utility model has the advantages that
1, an optimizing cycle is divided into multiple by the present invention using the mixing duration rolling optimization method of sliding data window
Period and day part length is not fixed presses first hour of optimizing cycle for example, an optimizing cycle is 24 hours one day
It is divided according to 5 minutes Period Lengths；It divides, makes full use of short-term for a hour according to Period Length since second hour
Scene prediction power output is obtained with ultra-short term, it may be assumed that the prediction of the predicted value of wind power, the predicted value of photovoltaic power and load power
Value；Isolated island microgrid energy model is updated, using updated isolated island microgrid energy model output present period it
Corresponding optimized variable of all periods afterwards, optimized variable include the output power of diesel engine, energy-accumulating power station generated output and
The charge power etc. of energy-accumulating power station makes isolated island micro-capacitance sensor still be able to stable operation in change in weather or load fluctuation, prevents
Because predicting that the operating cost of the larger caused diesel engine unit of error and energy-accumulating power station is promoted, the micro- electricity of isolated island is reduced in general
The operating cost of net.
2, the present invention proposes to use the adaptive regulation method of fuzzy chance constrained model confidence level, just to different periods
The confidence level of Reserve Constraint and the confidence level of negative Reserve Constraint are updated, and predict power as more new variables to isolated island with scene
Microgrid energy model is updated, and relative to fixed confidence level, is needed spare when reducing system operation, is reduced isolated island
The operating cost of micro-capacitance sensor, used time enhance isolated island micro-capacitance sensor operation robustness.
Detailed description of the invention
Fig. 1 is the optimization method schematic diagram of isolated island microgrid energy model provided by the invention；
Fig. 2 is the isolated island micro-capacitance sensor structural schematic diagram that embodiment provides；
Fig. 3 is the mixing duration rolling optimization Time segments division figure that embodiment provides；
Fig. 4 is 8:00 moment wind-powered electricity generation, photovoltaic and the load prediction data that embodiment provides；
Fig. 5 is the confidence level value under the different periods that embodiment provides；
Fig. 6 is bavin storage operational plan under the fixation confidence level that embodiment provides；
Fig. 7 is bavin storage operational plan under the self-adapting confidence degree that embodiment provides；
Fig. 8 is the energy-accumulating power station SOC curve that embodiment provides；
Fig. 9 is the abandoning renewable energy power curve that embodiment provides.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
As shown in Figure 1, the present invention provides a kind of optimization methods of isolated island microgrid energy model, comprising:
(1) the source lotus uncertainty models based on triangular fuzzy variable, power-balance constraint, positive and negative Reserve Constraint, diesel oil
Generator operation constraint, energy-accumulating power station SoC constraint, it is minimum with operation totle drilling cost of the isolated island micro-grid system in optimizing cycle
Objective function establishes isolated island microgrid energy model；
(2) using present period as first period in isolated island microgrid energy model optimization period, optimizing cycle is divided into
Multiple periods, and obtain the predicted value of the corresponding scene prediction power output of day part and load power；
The present period is the period where current time；The day part length is not fixed；
(3) according to the scene prediction power output of day part and 1 stage load accounting, when calculating each in isolated island microgrid energy model
The confidence level of the corresponding positive Reserve Constraint of section and the confidence level of negative Reserve Constraint；
(4) according to the confidence level of the corresponding positive Reserve Constraint of day part, the confidence level of negative Reserve Constraint, scene prediction power output
With the predicted value of load power, isolated island microgrid energy model is updated；
Updated isolated island microgrid energy model is for exporting the corresponding optimized variable of day part in optimizing cycle；
(5) if current time enters the subsequent period of optimizing cycle, using subsequent period as the micro- electricity of updated isolated island
The present period of network energy model repeats step (2)~(4)；
Scene prediction power output includes: the predicted value of wind power and the predicted value of photovoltaic power；
Optimized variable includes: the output power of diesel engine；The generated output of energy-accumulating power station；The charge power of energy-accumulating power station.
(1) the source lotus uncertainty models of triangular fuzzy variable are as follows:
Wherein,WithRespectively wind-powered electricity generation prediction error ambiguity, photovoltaic prediction error ambiguity and load prediction
Error ambiguity；WithRespectively wind power the predicted value of t period, photovoltaic power the t period prediction
Value and load power the t period predicted value；kW,kPVAnd kLRespectively wind power output prediction error degree of membership parameter, photovoltaic go out
Power predicts error degree of membership parameter and load prediction error degree of membership parameter；WithRespectively wind power exists
The Fuzzy Representation of t period predicted value, photovoltaic power t period predicted value Fuzzy Representation and load power the t period prediction
The Fuzzy Representation of value；
(2) objective function in isolated island microgrid energy model are as follows:
MinC=CDG+CESS
Wherein, C indicates operation totle drilling cost of the isolated island micro-grid system in optimizing cycle；CDGFor diesel-driven generator operation at
This；CESSFor energy-accumulating power station operating cost；
The present invention takes no account of the operating cost and flexible load scheduling cost of wind-powered electricity generation and photovoltaic.Wherein:
Wherein, PG(t) indicate diesel engine in the output power of period t；Indicate diesel engine opens machine cost；uG(t) it is
State variable indicates diesel engine in the start and stop state of period t, if open state then uG(t)=1, u on the contraryG(t)=0；f(t)
It is diesel engine in period t fuel cost, a, b, c are the fuel cost coefficient of diesel engine；kessFor energy-accumulating power station operation synthesis at
This coefficient；PEg(t) indicate energy-accumulating power station in the generated output of t period；
(3) constraint condition of isolated island microgrid energy model is as follows:
A. power-balance constraint:
Wherein, PG(t) indicate diesel engine in the output power of period t；PEg(t) indicate energy-accumulating power station in the power generation of t period
Power；WithWind power is respectively indicated in the fuzzy expectation of t period, photovoltaic power in t
Section fuzzy expectation and load power the t period fuzzy expectation；PEc(t) indicate energy-accumulating power station in the charge power of t period；
PRL(t) indicate transferable load in the power of t period；
B. positive and negative Reserve Constraint are as follows:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；PG upAnd PG downRespectively bavin
The unit time of fry dried food ingredients motor climb upwards power and downwards climbing power；αupAnd αdownBe positive the confidence level of Reserve Constraint respectively
With the confidence level of negative Reserve Constraint；uEg(t) energy-accumulating power station discharge condition is indicated, 1 indicates electric discharge, and 0 indicates not discharge；uEc(t) table
Show energy-accumulating power station charged state, 1 indicates charging, and 0 indicates uncharged；CrThe size of () expression confidence level；Rup(t)、Rdown(t)
For intermediate variable；
C. diesel-driven generator operation constraint:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；Tt onAnd Tt offIt respectively indicates
Continuous working period and lasting downtime of the diesel-driven generator before period t；PG upAnd PG downThe respectively list of diesel-driven generator
Position the time climb upwards power and downwards climbing power；PG(t) indicate diesel engine in the output power of period t；PG(t-1) it indicates
Output power of the diesel engine in period t；
D. energy-accumulating power station SoC is constrained are as follows:
Wherein, SOC (t) indicates energy-accumulating power station in the state-of-charge of t period；SOC (t+1) indicates energy-accumulating power station in t+1
The state-of-charge of section；SOCmin、SOCmaxRespectively minimum state-of-charge and maximum state-of-charge of the energy-accumulating power station in the t period；δE
For energy-accumulating power station self-discharge rate；QEFor energy-accumulating power station total capacity；ηcAnd ηgThe respectively charge and discharge efficiency of energy-accumulating power station；SOC(0)
It is respectively the optimizing cycle initial charge state and end state-of-charge of isolated island micro-capacitance sensor with SOC (T).
Embodiment 1
Table 1 is the specific value in the parameter and this implementation that can directly acquire used in embodiment；
Table 1
Fig. 2 be embodiment provide isolated island micro-capacitance sensor structural schematic diagram, mainly comprising distributed generation resource, diesel-driven generator,
Energy storage device, load etc. are constituted.Wherein, distributed generation resource mainly includes wind-driven generator photovoltaic power generation, energy storage device be comprising
The energy-accumulating power station of battery, load are collectively constituted by flexible load and rigid load；
Fig. 3 is mixing duration rolling optimization method of the present embodiment based on sliding data window, and an optimizing cycle is divided
For the schematic diagram of different periods, the precision of prediction of scene power output and load increases, short-term forecast with the reduction of period scale
The prediction data that time interval is 1 hour in 24 hours can be provided, but since period scale is larger, prediction error is relatively
Greatly；Ultra-short term prediction can provide the data that time interval is 5 minutes or 15 minutes in 4 hours, and period scale is small but precision is opposite
It is higher.To make full use of prediction data and reducing influence of the prediction error to optimum results, the present embodiment is directed to isolated island micro-capacitance sensor
The optimization of the energy provides a kind of mixing duration rolling optimization method based on sliding data window, and optimizing cycle is 24 hours,
The main prediction scale and progress according to the prediction of short-term and ultra-short term of the division of period, first hour of optimizing cycle is divided
For the period at 12 5 minutes intervals；It is used as within 1 hour a period from being divided between second time started hour, totally 23.In
Day part updates primary scene and predicts power, i.e. the predicted value of wind power, the predicted value of photovoltaic power and load power
Predicted value slides 1 hour to isolated island microgrid energy model modification, and by optimization data window backward, makes to optimize duration holding
At 24 hours.
It is worth noting that: because translatable load have the characteristics that starting after it is unbroken, be not involved in rolling it is excellent
Change, only flexible load data are once updated and optimized in optimization initial time period daily；And after interruptible load starting
It can interrupt, can postpone, therefore may participate in mixing duration rolling optimization, but in order to avoid the interruptible load when the day before yesterday will not enter
Next optimization day, therefore, the optimization time window of interruptible load do not slide rearwardly to next day.Rolling based on sliding data window
Dynamic optimization is the optimization of finite time-domain, the dependence that power is precisely predicted when can significantly reduce to distribution, and improves reply
The ability of the emergency cases such as Changes in weather.
Fuzzy Chance Constraint in present period isolated island microgrid energy model is updated according to different periods system mode to set
Reliability can effectively ensure that the rapport in the entire optimizing cycle of micro-grid system between robustness and economy.It is missed in prediction
When poor percentage is identical, scene prediction power output is bigger, and Error Absolute Value is bigger, bigger to loading effects, therefore it is required that set
Reliability is higher.When 1 stage load accounting in load is larger, high confidence is also required.Accordingly, positive Reserve Constraint is set
The confidence level of reliability and negative Reserve Constraint are as follows:
Wherein, αupAnd αdownThe confidence level of Reserve Constraint that is positive respectively and the confidence level of negative Reserve Constraint；WithRespectively wind power is in the predicted value of t period, photovoltaic power in the predicted value of t period and negative
Predicted value of the lotus power in the t period；kα1、kα1'、kα2、kα2' it is proportionality coefficient；α0For constant term.
In general, the present embodiment is using the mixing duration rolling optimization method for sliding data window, by an optimizing cycle
It is divided into multiple periods and day part length is not fixed, make full use of short-term and ultra-short term to obtain scene prediction power output, it may be assumed that wind-powered electricity generation
The predicted value of the predicted value of power, the predicted value of photovoltaic power and load power；Isolated island microgrid energy model is updated,
The corresponding optimized variable of all periods after present period is exported using updated isolated island microgrid energy model, optimization becomes
Amount includes that the output power of diesel engine, the generated output of energy-accumulating power station and charge power of energy-accumulating power station etc. make isolated island micro-capacitance sensor
It still is able to stable operation in change in weather or load fluctuation, is prevented because of diesel engine unit caused by prediction error is larger and storage
The operating cost in energy power station is promoted, and reduces the operating cost of isolated island micro-capacitance sensor in general.
The present invention proposes to use the adaptive regulation method of fuzzy chance constrained model confidence level, to the just standby of different periods
It is updated with the confidence level of the confidence level of constraint and negative Reserve Constraint, it is micro- to isolated island as more new variables to predict power with scene
Power grid energy model is updated, and relative to fixed confidence level, needs spare when reducing system operation, it is micro- to reduce isolated island
The operating cost of power grid, used time enhance isolated island micro-capacitance sensor operation robustness.
Following scene analysis effectiveness of the invention is arranged in the present embodiment:
Current time is 8 points, and isolated island micro-capacitance sensor carries out mixed once duration rolling optimization, scene prediction power output, i.e. wind-powered electricity generation
The predicted value of the predicted value of power, the predicted value of photovoltaic power and load power as shown in figure 4, system optimum results such as table 2
It is shown:
Table 2
| Confidence level | Operating cost |
| It is fixed | 2575 yuan |
| Automatic adjusument | 2389 yuan |
Confidence level and self-adapting confidence degree rolling optimization are fixed to isolated island micro-grid system respectively at the 8:00 moment, set
For reliability value as shown in figure 5, after using the optimization method of self-adapting confidence degree, day operation expense reduces 186 yuan.Fig. 6 and
The generating optimization of diesel engine and energy-accumulating power station is results, it can be seen that be when Fig. 7 is respectively fixed confidence level and self-adapting confidence degree
Meet confidence level demand, isolated island micro-grid system needs to increase spare, and therefore, the available machine time of diesel engine unit also increases therewith
Add.Energy-accumulating power station SOC situation of change when Fig. 8 is fixed confidence level and self-adapting confidence degree, self-adapting confidence degree reduce energy storage
The conversion times of power station charge and discharge operating condition, are conducive to extend energy-accumulating power station service life.Fig. 9 is fixed confidence level and adaptively sets
The abandonment of reliability, optical power size curve, abandonment, optical power 105.06kW when fixing confidence level, and use adaptive confidence
When spending, abandonment, optical power are reduced to 31.85kW, increase renewable energy utilization rate.
The verification result of the above scene show method disclosed by the invention be capable of effective coordination system operation robustness and
Economy, and source lotus can effectively be made full use of to predict in short term with ultra-short term prediction data, prediction data here for scene
Power (predicted value of the predicted value of wind power, the predicted value of photovoltaic power and load power) reduces prediction error bring
It influences.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (9)
1. a kind of optimization method of isolated island microgrid energy model characterized by comprising
(1) the source lotus uncertainty models based on triangular fuzzy variable, power-balance constraint, positive and negative Reserve Constraint, diesel generation
Machine operation constraint, energy-accumulating power station SoC constraint, with operation totle drilling cost minimum target of the isolated island micro-grid system in optimizing cycle
Function establishes isolated island microgrid energy model；
(2) using present period as first period in isolated island microgrid energy model optimization period, optimizing cycle is divided into multiple
Period, and obtain the predicted value of the corresponding scene prediction power output of day part and load power；
The present period is the period where current time；The day part length is not fixed；
(3) according to the scene prediction power output of day part and 1 stage load accounting, day part pair in isolated island microgrid energy model is calculated
The confidence level for the positive Reserve Constraint answered and the confidence level of negative Reserve Constraint；
(4) it contributes and bears according to the confidence level of the corresponding positive Reserve Constraint of day part, the confidence level of negative Reserve Constraint, scene prediction
The predicted value of lotus power updates isolated island microgrid energy model；
Updated isolated island microgrid energy model is for exporting the corresponding optimized variable of day part in optimizing cycle；
(5) if current time enters the subsequent period of optimizing cycle, using subsequent period as updated isolated island micro-capacitance sensor energy
The present period of model is measured, step (2)~(4) are repeated；
Scene prediction power output includes: the predicted value of wind power and the predicted value of photovoltaic power；
Optimized variable includes: the output power of diesel engine；The generated output of energy-accumulating power station；The charge power of energy-accumulating power station.
2. optimization method according to claim 1, which is characterized in that divide an optimizing cycle in the step (2)
For the method for multiple periods are as follows:
First hour in the optimizing cycle was divided according to 5 minutes Period Lengths；Since second hour according to
Period Length is to divide a hour；
The optimizing cycle is 24 hours.
3. optimization method according to claim 1 or 2, which is characterized in that the confidence level of the positive Reserve Constraint and bear it is standby
With the confidence level of constraint are as follows:
Wherein, αupAnd αdownThe confidence level of Reserve Constraint that is positive respectively and the confidence level of negative Reserve Constraint；WithRespectively wind power the predicted value of t period, photovoltaic power the t period predicted value and load power in the t period
Predicted value；kα1、kα1'、kα2、kα2' it is proportionality coefficient；α0For constant term.
4. optimization method according to claim 1, which is characterized in that the source lotus uncertainty mould of the triangular fuzzy variable
Type are as follows:
Wherein,WithRespectively wind-powered electricity generation prediction error ambiguity, photovoltaic prediction error ambiguity and load prediction error
It is fuzzy；WithRespectively wind power the predicted value of t period, photovoltaic power the t period predicted value and
Predicted value of the load power in the t period；kW,kPVAnd kLRespectively wind power output prediction error degree of membership parameter, photovoltaic power output are pre-
Survey error degree of membership parameter and load prediction error degree of membership parameter；WithRespectively wind power is in t
The section Fuzzy Representation of predicted value, photovoltaic power t period predicted value Fuzzy Representation and load power the t period predicted value
Fuzzy Representation.
5. optimization method according to any one of claims 1 to 4, which is characterized in that in the isolated island microgrid energy model
Objective function are as follows:
Min C=CDG+CESS
Wherein, C indicates operation totle drilling cost of the isolated island micro-grid system in optimizing cycle；CDGFor diesel-driven generator operating cost；
CESSFor energy-accumulating power station operating cost.
6. optimization method according to claim 4, which is characterized in that the power-balance constraint are as follows:
Wherein, PG(t) indicate diesel engine in the output power of period t；PEg(t) indicate energy-accumulating power station in the generated output of t period；WithRespectively indicate wind power the fuzzy expectation of t period, photovoltaic power the t period mould
The fuzzy expectation of paste expectation and load power in the t period；PEc(t) indicate energy-accumulating power station in the charge power of t period；PRL(t) table
Show transferable load in the power of t period.
7. the optimization method as described in claim 4 or 6, which is characterized in that the positive and negative Reserve Constraint are as follows:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；PG upAnd PG downRespectively diesel oil is sent out
The unit time of motor climb upwards power and downwards climbing power；αupAnd αdownThe confidence level of Reserve Constraint of being positive respectively and negative
The confidence level of Reserve Constraint；uEg(t) energy-accumulating power station discharge condition is indicated, 1 indicates electric discharge, and 0 indicates not discharge；uEc(t) storage is indicated
Energy power station charged state, 1 indicates charging, and 0 indicates uncharged；CrThe size of () expression confidence level；Rup(t)、Rdown(t) in being
Between variable.
8. optimization method as claimed in claims 6 or 7, which is characterized in that the diesel-driven generator operation constraint are as follows:
Wherein, PG maxAnd PG minRespectively the power output upper limit of diesel-driven generator and power output lower limit；Tt onAnd Tt offRespectively indicate diesel oil
Continuous working period and lasting downtime of the generator before period t；PG upAnd PG downRespectively the unit of diesel-driven generator when
Between climb upwards power and downwards climbing power；PG(t) indicate diesel engine in the output power of period t；PG(t-1) diesel oil is indicated
Output power of the machine in period t.
9. according to the optimization method any in claim 6 to 8, which is characterized in that the energy-accumulating power station SoC constraint are as follows:
Wherein, SOC (t) indicates energy-accumulating power station in the state-of-charge of t period；SOC (t+1) indicates energy-accumulating power station in the t+1 period
State-of-charge；SOCmin、SOCmaxRespectively minimum state-of-charge and maximum state-of-charge of the energy-accumulating power station in the t period；δEFor storage
It can power station self-discharge rate；QEFor energy-accumulating power station total capacity；ηcAnd ηgThe respectively charge and discharge efficiency of energy-accumulating power station；SOC (0) and
SOC (T) is respectively the optimizing cycle initial charge state and end state-of-charge of isolated island micro-capacitance sensor.
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