CN106487038A - A kind of control optimization method for wind-powered electricity generation thermoelectricity energy storage joint frequency modulation system - Google Patents
A kind of control optimization method for wind-powered electricity generation thermoelectricity energy storage joint frequency modulation system 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
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Abstract
The invention discloses a kind of control method for wind-powered electricity generation thermoelectricity energy storage joint frequency modulation system, the method includes：S1, foundation participate in the fired power generating unit frequency modulation response model of frequency modulation and the frequency modulation response model of energy-storage system, and analyze the frequency modulation characteristic of frequency modulation fired power generating unit and energy-storage system in determination system；S2, carry out spectrum analyses to Power Output for Wind Power Field, and participate in frequency modulation to energy storage auxiliary thermoelectricity being controlled；S3, the fuzzy PI hybrid control strategy with control deviation ACE of two district systems and its variable quantity as control input for the structure；S4, frequency modulation control strategy and fuzzy PI hybrid control strategy are participated in based on described energy storage auxiliary thermoelectricity, build the control strategy of wind-powered electricity generation thermoelectricity energy storage joint frequency modulation system, the present invention discloses a kind of combine frequency modulation system for wind-powered electricity generation thermoelectricity energy storage, ensure that thermoelectricity and energy storage coordinated operation, controlling for wind-fire storage Operation of Electric Systems provides analysis foundation and basis, and devises the control strategy of energy storage and fired power generating unit coordinated operation.
Description
Technical field
The present invention relates to tune is combined for wind-powered electricity generation-thermoelectricity-energy storage in power system frequency modulation control field, more particularly to one kind
The control optimization method of display system.
Background technology
Power system frequency is one of three norms of the quality of power supply, the state that reflection power system safety and stability runs,
The stability of frequency has close relationship with the power equipment of users and the safety of power supply equipment itself and efficiency.Frequently
Rate deviation is unfavorable for the operation equipment in power grid security, reliability, economical operation, or even infringement electrical network, can cause system when serious
Collapse.In recent years, China's Wind Power Generation scale maintains sustained and rapid growth.After large-scale wind power accesses electrical network, can provide clear to electrical network
The clean energy, meanwhile, wind power output has undulatory property and uncertainty, and substantial amounts of wind-electricity integration can cause frequency stable sex chromosome mosaicism.
In the case of extensive intermittent energy source is grid-connected, how to ensure power system frequency stability, minimizing frequency fluctuation has important
Economy and social meaning.
In northern area electrical network, the wind-powered electricity generation permeability of power system is very high.Currently, the load still as " bearing " for the wind-powered electricity generation
Passive participation dispatching of power netwoks, Wind turbines control cannot solve the problems, such as that wind-electricity integration brings the frequency modulation of power system, remain biography
System fired power generating unit carries the main task stabilizing load fluctuation and electric power grid frequency stabilization.However, traditional thermoelectricity frequency modulation unit
By accumulation of heat, adjust direction and restriction, the regulation and control to the frequency modulation problem of the power system containing high permeability wind power integration such as should not change
Effect is unsatisfactory.Energy storage technology with its governing speed fast, energy density is high, flexible configuration the advantages of, improve batch (-type) electricity
The system frequency stability aspect that source is accessed has broad application prospects.Therefore, frequency modulation needs under the new situation how are adapted to,
Research and development and the control strategy improving AGC under existing new environment, have extremely important meaning.This patent is directed to regional power grid,
Research wind power fluctuation is on mains frequency impact it is considered in the case of battery energy storage system charge-discharge characteristic, design and thermoelectricity
The coordination frequency modulation control of unit and energy storage, can provide one for promoting large-scale wind power to be incorporated into the power networks offer reference for engineer applied
Fixed reference.
Content of the invention
The technical problem to be solved in the present invention is to provide a kind of control for wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system
Optimization method, cannot fundamentally solve wind-electricity integration frequency modulation to solve the problems, such as that traditional wind, thermoelectricity are dispatched.
For solving above-mentioned technical problem, the present invention adopts following technical proposals：
A kind of control method for wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system, the step of the method includes：
S1, foundation participate in the fired power generating unit frequency modulation response model of frequency modulation and the frequency modulation response model of energy-storage system, and analyze
Determine the frequency modulation characteristic of frequency modulation fired power generating unit and energy-storage system in system；
S2, spectrum analyses are carried out to Power Output for Wind Power Field using discrete fourier transform method, and combine fired power generating unit
With the different frequency modulation response characteristics of energy-storage system, frequency modulation is participated in energy storage auxiliary thermoelectricity and is controlled；
S3, be based on power system Automation generation control and Fuzzy PI Controller, build inclined with the control of two district systems
Difference ACE and its variable quantity are the fuzzy PI hybrid control strategy of control input；
S4, the fuzzy PI hybrid control plan being assisted based on the energy storage in step S2 in thermoelectricity participation frequency modulation control strategy and step S3
Slightly, build the control strategy of wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system.
Preferably, described step S2 includes
S21, spectrum analyses are carried out to wind power according to discrete Fourier transform (DFT)；
S22, the bode Analysis of response result with reference to fired power generating unit and energy-storage system, the disturbance quantity obtaining in system exists
Allocative decision between energy-storage system and fired power generating unit, is undertaken the HFS of disturbance quantity in system, thermoelectricity by energy-storage system
Unit undertakes the low frequency part of disturbance quantity in system.
Preferably, described step S3 includes：
S31, with control deviation ACE of two district systems and its variable quantity as the input quantity controlling, ratio is controlled with PI
Variation delta K of coefficientpVariation delta K with integral coefficientiAs output, build the two dimension fuzzy model of Fuzzy PI Controller：
Wherein, u (k) is the output of the Fuzzy PI Controller of k-th sampling instant；E (k) andIt is respectively
Control deviation ACE and its variable quantity are in k-th sampling instant discrete representation；KP(k) and KiK () is respectively the ratio system of PI type Fuzzy
Count the value in k-th sampling instant with integral coefficient；KPAnd K (k+1)i(k+1) it is respectively proportionality coefficient and the integration system of PI type Fuzzy
Number is in the value of+1 sampling instant of kth；ΔKP(k) and Δ KiK () is respectively proportionality coefficient of PI type Fuzzy and integral coefficient the
Changing value in (k, k+1) sampling periods；
S32, the variable to input carry out Fuzzy processing；
S33, determine the membership function of input variable and output variable；
S34, be based on step S32 and S33, fuzzy reasoning is carried out to the two dimension fuzzy model of Fuzzy PI Controller；
S35, the result based on above-mentioned fuzzy reasoning, carry out defuzzification process to fuzzy set, are accurately exported
Amount.
Preferably, membership function curve and abscissa is taken to surround the center of gravity of area using centroid method in described step S35
Final output value as fuzzy reasoning.
One kind includes for wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system, this system：
Control unit, with control deviation ACE of two district systems and its variable quantity as the input quantity controlling, with PI control
Variation delta K of proportionality coefficientpVariation delta K with integral coefficientiAs output, think that fired power generating unit and energy-storage system send control
Signal processed；
Energy-storage units, the energy-storage system control signal being sent based on control unit, the HFS to disturbance quantity in system
Processed；
Thermoelectricity frequency modulation unit, the energy-storage system control signal being sent based on control unit, the low frequency to disturbance quantity in system
Part is processed.
Preferably, this system further includes：Filter unit, for carrying out at low-pass filtering to thermoelectricity fm control signal
Reason.
Beneficial effects of the present invention are as follows：
Technical scheme of the present invention be originally for the feature of wind-fire storing up electricity Force system and characteristic propose it is adaptable to wind-fire
Storage joint frequency modulation system is run and is controlled, and ensure that thermoelectricity and energy storage coordinated operation, thus storing up Operation of Electric Systems control for wind-fire
System provides analysis foundation and basis, and technical scheme of the present invention has the characteristics that control performance optimizes.Meanwhile, this
Bright described technical scheme in control strategy according to operation principle and the control characteristic of fired power generating unit and energy storage, devise energy storage with
The control strategy of fired power generating unit coordinated operation is so that the disturbance quantity distribution to system is more reasonable, and then makes control performance more
Excellent.
Brief description
Below in conjunction with the accompanying drawings the specific embodiment of the present invention is described in further detail；
Fig. 1 illustrates that wind-fire described in this programme stores up the control optimization method schematic diagram of joint frequency modulation system；
Fig. 2 illustrates the controller block diagram of wind-powered electricity generation-thermoelectricity described in this programme-energy storage joint frequency modulation system；
Fig. 3-a illustrates the membership function schematic diagram of control deviation described in this programme and control deviation rate of change；
Fig. 3-b illustrates ratio variation delta K described in this programmePWith integration variation delta KiMembership function schematic diagram；
Fig. 4 illustrates the schematic diagram of the phantom in regional internet electrical network 1 region described in this example；
Fig. 5-a illustrates the schematic diagram of region 1 frequency departure in the case of step disturbance described in this example；
Fig. 5-b illustrates the schematic diagram of dominant eigenvalues deviation in the case of step disturbance described in this example；
Fig. 6 illustrates equivalent load curve chart described in this example；
Fig. 7-a illustrates the schematic diagram of region 1 frequency departure under equivalent load disturbance described in this example；
Fig. 7-b illustrates the schematic diagram of interconnection power deviation under equivalent load disturbance described in this example；
Fig. 7-c illustrates the schematic diagram that under equivalent load disturbance described in this example, energy storage is exerted oneself；
Fig. 7-d illustrates the region 1 energy storage SOC curve under equivalent load disturbance described in this example；
Specific embodiment
In order to be illustrated more clearly that the present invention, with reference to preferred embodiments and drawings, the present invention is done further
Bright.In accompanying drawing, similar part is indicated with identical reference.It will be appreciated by those skilled in the art that institute is concrete below
The content of description is illustrative and be not restrictive, and should not be limited the scope of the invention with this.
The present invention, based on the analysis to output of wind electric field characteristic with to fired power generating unit and the frequency modulation characteristic of energy storage, builds air-out
The joint frequency modulation system that electricity-thermoelectricity-energy storage is integrated controls optimization method.Adopt using discrete fourier transform method analysis is actual
The output data of wind collecting electric field, according to the frequency modulation of the Power Output for Wind Power Field Changing Pattern obtaining and fired power generating unit and energy storage
Characteristic, controls requirement to devise one kind according to power system Automatic Generation Control (AGC) and is applied to wind-powered electricity generation-thermoelectricity-energy storage joint
The Fuzzy PI Controller Optimal Control Strategy of frequency modulation system, and devise between low-pass filtering algorithm coordination fired power generating unit and energy storage
Disturbance quantity distribution.
Specifically, as shown in figure 1, a kind of the invention discloses control for wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system
Optimization method, the method includes：
S1, set up FM source unit model in wind-fire storage system；This step includes setting up the fired power generating unit tune participating in frequency modulation
The frequency modulation of frequency modulation fired power generating unit and energy-storage system in the frequency modulation response model of frequency response model and energy-storage system, analysis determination system
Characteristic.
S2, spectrum analyses are carried out to Power Output for Wind Power Field using discrete fourier transform method, in conjunction with fired power generating unit and
The different frequency modulation response characteristics of energy-storage system, the energy storage auxiliary thermoelectricity under design low-pass filtering algorithm participates in frequency modulation control strategy.
Specifically, this step is to carry out spectrum analyses according to discrete Fourier transform (DFT) to wind power, in conjunction with fired power generating unit and energy storage
The bode Analysis of response result of system, obtains disturbance quantity in the system distribution side between energy-storage system and fired power generating unit
Case, is wherein undertaken the HFS of disturbance quantity in system by energy-storage system, and fired power generating unit undertakes the low frequency portion of disturbance quantity in system
Point.
S3, be based on power system Automatic Generation Control (AGC) and Fuzzy PI Controller, build with the control of two district systems
Deviation ACE and its variable quantity are the Fuzzy PI Controller of control input.
S31, with control deviation ACE of two district systems and its variable quantity as the input quantity controlling, output is PI control
Proportionality coefficient processed and changes delta K of integral coefficientP、ΔKiThis two parameters, build the Fuzzy PI Controller as shown in following formula (1)
Two dimension fuzzy model：
Wherein, u (k) is the output of the Fuzzy PI Controller of k-th sampling instant；E (k) andIt is respectively
Control deviation ACE and its variable quantity are in k-th sampling instant discrete representation；KP(k) and KiK () is respectively the ratio system of PI type Fuzzy
Count the value in k-th sampling instant with integral coefficient；KPAnd K (k+1)i(k+1) it is respectively proportionality coefficient and the integration system of PI type Fuzzy
Number is in the value of+1 sampling instant of kth；ΔKP(k) and Δ KiK () is respectively proportionality coefficient of PI type Fuzzy and integral coefficient the
Changing value in (k, k+1) sampling periods.
S32, by input variable obfuscation.The variable quantity of control deviation ACE and control deviation is divided into different obscuring
Subset.It is { NB } respectively that the variable quantity of input control deviation ACE and control deviation chooses 7 subsets, { NM }, { NS }, { Z },
{ PS }, { PM }, { PB } i.e. { negative big }, { in negative }, { negative little }, { zero }, just little, { center }, { honest }；Output Δ KP and Δ Ki
Choosing 7 subsets is { NB } respectively, { NM }, { NS }, { Z }, { PS }, { PM }, { PB } i.e. { negative big }, { in negative }, { negative little },
{ zero }, just little, { center }, { honest }.
S33, determine membership function.Input and output variable adopt triangle and trapezoidal membership function, and input is subordinate to
Degree span is [- 1 ,+1]；Output fuzzy set degree of membership span [- 1 ,+1]；Input quantizing factor：50,32；Output ratio
The example factor：- 10 and 0.05.The membership function of input and output is as shown in Fig. 3-a and Fig. 3-b.
S34, fuzzy reasoning.The Δ K of Fuzzy PI Controller in this programmePFuzzy control rule is as shown in table 1；ΔKiFuzzy
Control rule as shown in table 2.With regular IF e=PB andthenΔKPAs a example=PB, when deviation e is honest, deviation
Rate of changeWhen being also honest, illustrate that controlled volume need to be with amplitude peak scaling up coefficient, to reach the rapid effect reducing deviation
Really, therefore fuzzy reasoning be output as honest.
Table 1 Δ KPFuzzy control rule table
Table 2 Δ KiFuzzy control rule table
A fuzzy implicative relationship can be provided for every fuzzy rule.In this programme, fuzzy implicative relationship is using often
Mamdani minimum rule is asked for, and can try to achieve the output being represented with fuzzy subset.
S35, defuzzification.This programme takes the center of gravity that membership function curve and abscissa surround area to be using centroid method
The final output value of fuzzy reasoning.
The coordination frequency modulation control method of S4, structure wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system.By the energy storage ginseng based on S3
Become wind-powered electricity generation-thermoelectricity-energy storage connection as shown in Figure 2 with the controller of auxiliary frequency modulation and based on the Fuzzy PI Controller joint mapping of S4
Close the controller of frequency modulation system.
Below by Case Simulation, this programme is described further.
This example is to carry out simulating, verifying based on MATLAB emulation platform building two regional internet electrical network.Region 1, region 2
Parameter identical, the model in wherein region 1 is illustrated in fig. 4 shown below.Initialization system reference power is 1000MW, and initial load is
500MW, the EIAJ arranging energy storage in analogue system is 20MW, and capacity is 45MWh, inertia time constant TbEqual to 0.5s,
Gain K is equal to 1, arranges in remaining parameter reference table 3 of system.
Table 3 regional power grid frequency modulation frequency modulation parameter
In analogue system, power swing and the power waves of load that the disturbance quantity of frequency modulation system causes from wind power integration
Dynamic collective effect.For verifying the effectiveness of this programme, the effect that the control effect of this programme is controlled with traditional PI is carried out
Contrast, the parameter of conventional PI control device is set to proportional controller KP=-0.4, integral controller Ki=-0.11.Given below it is
Disturbance quantity be respectively step disturbance and certain actual wind power access two kinds in the case of simulation result.In simulation result, will
The simulation result of conventional PI control device referred to as PI, the simulation result of the controller proposing this programme are referred to as PI type Fuzzy.
1) step disturbance situation
It is subject to the step disturbance that an amplitude is 0.02p.u. when running 10s in region 1, obtain simulation result below figure 5-
Shown in a.From result figure as can be seen that fuzzy PI hybrid control mode regulating time only need to 40s about frequency departure just can be made extensive
Arrive original state again.The maximum of frequency departure is less than 0.05Hz, compares PI control mode overshoot less.
2) certain wind power actual accesses situation
Assume that wind energy turbine set accounts for the 10% of the system capacity, be illustrated in fig. 6 shown below with random white noise disturbance in conjunction with wind-powered electricity generation
Equivalent power disturbance shown in dotted line, abbreviation equivalent load, is accessed analogue system.
In the case of considering that equivalent load accesses, obtain shown in simulation result below figure 7-a to Fig. 7-d.
According to above simulation result, show can effectively follow the tracks of caused by power swing using the control method of this programme
Frequency departure, there is higher anti-interference and robustness.By under certain wind energy turbine set access way actual, the SOC of energy storage becomes
Change more smooth with respect under PI, its control effect is substantially better than conventional PI control device.
Statistical computation is carried out according to CPS index and obtains result as shown in table 4 below and table 5：
Table 4CPS1 index
Table 5CPS2 index and ACE average result
As can be seen from the table although this programme and PI control mode can meet system CPS index, but from index
Above this it appears that PI type Fuzzy is substantially better than PI control mode, show that PI type Fuzzy has more preferable dynamic control performance.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not right
The restriction of embodiments of the present invention, for those of ordinary skill in the field, also may be used on the basis of the above description
To make other changes in different forms, all of embodiment cannot be exhaustive here, every belong to this
Obvious change that bright technical scheme is extended out or change the row still in protection scope of the present invention.
Claims (6)
1. a kind of control method for wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system is it is characterised in that the step bag of the method
Include：
S1, foundation participate in the fired power generating unit frequency modulation response model of frequency modulation and the frequency modulation response model of energy-storage system, and analyze determination
The frequency modulation characteristic of frequency modulation fired power generating unit and energy-storage system in system；
S2, spectrum analyses are carried out to Power Output for Wind Power Field using discrete fourier transform method, and combine fired power generating unit and storage
The different frequency modulation response characteristics of energy system, participate in frequency modulation to energy storage auxiliary thermoelectricity and are controlled；
S3, be based on power system Automation generation control and Fuzzy PI Controller, build with the control deviation of two district systems
ACE and its variable quantity are the fuzzy PI hybrid control strategy of control input；
S4, the fuzzy PI hybrid control strategy being assisted based on the energy storage in step S2 in thermoelectricity participation frequency modulation control strategy and step S3,
Build the control strategy of wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system.
2. control method according to claim 1 is it is characterised in that described step S2 includes
S21, spectrum analyses are carried out to wind power according to discrete Fourier transform (DFT)；
S22, combine the bode Analysis of response result of fired power generating unit and energy-storage system, obtain disturbance quantity in system in energy storage
Allocative decision between system and fired power generating unit, is undertaken the HFS of disturbance quantity in system, fired power generating unit by energy-storage system
Undertake the low frequency part of disturbance quantity in system.
3. control method according to claim 1 is it is characterised in that described step S3 includes：
S31, using control deviation ACE of two district systems and its variable quantity as the input quantity controlling, proportionality coefficient is controlled with PI
Variation delta KpVariation delta K with integral coefficientiAs output, build the two dimension fuzzy model of Fuzzy PI Controller：
Wherein, u (k) is the output of the Fuzzy PI Controller of k-th sampling instant；E (k) andIt is respectively and control
Deviation ACE and its variable quantity are in k-th sampling instant discrete representation；KP(k) and Ki(k) be respectively PI type Fuzzy proportionality coefficient and
Integral coefficient is in the value of k-th sampling instant；KPAnd K (k+1)i(k+1) it is respectively the proportionality coefficient of PI type Fuzzy and integral coefficient exists
The value of+1 sampling instant of kth；ΔKP(k) and Δ KiK () the respectively proportionality coefficient of PI type Fuzzy and integral coefficient is in (k, k+
1) changing value in sampling periods；
S32, the variable to input carry out Fuzzy processing；
S33, determine the membership function of input variable and output variable；
S34, be based on step S32 and S33, fuzzy reasoning is carried out to the two dimension fuzzy model of Fuzzy PI Controller；
S35, the result based on above-mentioned fuzzy reasoning, carry out defuzzification process to fuzzy set, obtain accurately output.
4. control method according to claim 1 is it is characterised in that take degree of membership using centroid method in described step S35
Function curve and abscissa surround the final output value as fuzzy reasoning for the center of gravity of area.
5. a kind of wind-powered electricity generation-thermoelectricity-energy storage joint frequency modulation system that is used for is it is characterised in that this system includes：
Control unit, with control deviation ACE of two district systems and its variable quantity as the input quantity controlling, controls ratio with PI
Variation delta K of coefficientpVariation delta K with integral coefficientiAs output, send control letter to fired power generating unit and energy-storage system
Number；
Energy-storage units, the energy-storage system control signal being sent based on control unit, the HFS of disturbance quantity in system is carried out
Process；
Thermoelectricity frequency modulation unit, the energy-storage system control signal being sent based on control unit, the low frequency part to disturbance quantity in system
Processed.
6. system according to claim 5 is it is characterised in that this system further includes：Filter unit, for thermoelectricity
Fm control signal carries out low-pass filtering treatment.
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| CN107069789A (en) * | 2017-05-13 | 2017-08-18 | 东北电力大学 | A kind of energy-storage system control strategy towards power network AGC frequency modulation |
| CN107579515A (en) * | 2017-07-31 | 2018-01-12 | 东南大学 | A kind of capacity collocation method for improving power plant's frequency modulation performance |
| CN108123438A (en) * | 2017-12-29 | 2018-06-05 | 国家电网公司华中分部 | A kind of mains frequency situation on-line prediction method for considering wind-powered electricity generation and energy storage |
| CN108321804A (en) * | 2018-02-26 | 2018-07-24 | 清华大学 | Electric system dual-layer optimization operation method containing battery energy storage and integrated wind plant |
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| CN109828204A (en) * | 2019-03-01 | 2019-05-31 | 广东电网有限责任公司 | For the grid-connected debugging test method of thermoelectricity energy storage joint frequency modulation generating set |
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| CN112751348A (en) * | 2021-01-06 | 2021-05-04 | 东北电力大学 | Energy storage optimization control method considering wind power dispatching and frequency modulation limits |
| CN116526511A (en) * | 2023-05-19 | 2023-08-01 | 东北电力大学 | Method for controlling load frequency of multi-source cooperative participation system |
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