CN104659799A - Fuzzy control method of battery energy storage system for restraining wind power fluctuation - Google Patents

Fuzzy control method of battery energy storage system for restraining wind power fluctuation Download PDF

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Publication number
CN104659799A
CN104659799A CN201510122738.XA CN201510122738A CN104659799A CN 104659799 A CN104659799 A CN 104659799A CN 201510122738 A CN201510122738 A CN 201510122738A CN 104659799 A CN104659799 A CN 104659799A
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Prior art keywords
storage system
power
battery
energy storage
charge
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CN201510122738.XA
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Chinese (zh)
Inventor
闫涛
渠展展
胡娟
惠东
刘赟甲
刘伟
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
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Priority to CN201510122738.XA priority Critical patent/CN104659799A/en
Publication of CN104659799A publication Critical patent/CN104659799A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a fuzzy control method of a battery energy storage system for restraining wind power fluctuation. The fuzzy control method comprises the following steps: (1) computing an output power variable value; (2) acquiring an electric charge state of a lithium battery; (3) determining a proper filter time constant according to a power fluctuation frequency band required for restraining in the battery energy storage system; (4) obtaining a smoothed power output by adding a reference value of the absorption power of the energy storage system with the current wind power output power; filtering a mixed energy storage system power instruction by using a high-pass filter to obtain a high frequency fluctuation component thereof. By regulating the filter time constant of a low-pass filter in real time, the electric charge state of the battery can be maintained in a limited range while the wind power unit power fluctuation is restrained as far as possible, and the overcharge or over-discharge of the battery is avoided.

Description

A kind of fuzzy control method stabilizing the battery energy storage system of wind power fluctuation
Technical field
The present invention relates to a kind of wind power generation power smooth to control to put method, specifically relate to a kind of fuzzy control method stabilizing the battery energy storage system of wind power fluctuation.
Background technology
The fluctuation of wind power generation is large, randomness strong, and after being incorporated into the power networks, the easy stability to electrical network and the quality of power supply bring adverse influence.Relevant result of study shows, at the energy-storage system of the exit centralized configuration certain capacity of wind energy turbine set, effectively can stabilize the power fluctuation of wind energy turbine set, and concentrated access way is convenient to management, and the capacity of needs is also relatively little.Energy storage compensation range is determined to the spectrum analysis of regenerative resource, and propose can meet system power output pulsation rate, SOC restriction energy-storage system power and capacity determining methods.On this basis, design that a kind of effectively to stabilize the control method that wind power fluctuation takes into account energy-storage system demand in health management be simultaneously very important.
Summary of the invention
For the deficiencies in the prior art, the present invention proposes a kind of fuzzy control method stabilizing the battery energy storage system of wind power fluctuation, is specially battery energy storage system and is connected on the grid-connected ac bus of double-fed blower fan.The three-phase voltage of the active power that supervisory control system collection blower fan exports and ac bus and electric current, by the changing value of control algolithm according to the state-of-charge of lithium battery and blower fan power output, time constant filter is regulated by fuzzy controller, change cell output gradually, thus make state-of-charge be stabilized in limited range, the simultaneously power output of level and smooth blower fan as much as possible.
The object of the invention is to adopt following technical proposals to realize:
Stabilize a fuzzy control method for the battery energy storage system of wind power fluctuation, its improvements are, described method comprises
(1) power output changing value is calculated;
(2) state-of-charge of lithium battery is obtained;
(3) the power fluctuation frequency band determination appropriate filter time constant stabilized is needed according to battery energy storage system;
(4) power output that the reference value of energy-storage system absorbed power adds current wind-powered electricity generation obtain level and smooth after power stage; With high pass filter, filtering is carried out to mixed energy storage system power instruction and obtain its high-frequency fluctuation component.
Preferably, described step (1) comprise from the output power value in the current sample period of blower fan and in the upper sampling period after level and smooth the difference of output power value, obtain power change values.
Preferably, described step (2) comprises the state-of-charge being obtained current lithium battery by the sampling of energy-storage system.
Further, the state-of-charge Current integrating method of described lithium battery calculates state-of-charge:
SOC ( t ) = SOC ( t 0 ) + ∫ t 0 t i ( t ) dt
Namely current time soc battery charge state is the integration sum of initial state-of-charge and electric current, t 0for initial time, t is current time.
Preferably, described step (3) comprises and is input in fuzzy controller by the state-of-charge of power change values and lithium battery, the time constant filter calculated by controller, time constant be second level to a minute level.
Preferably, described step (4) comprises the time constant filter that wave digital lowpass filter calculates according to fuzzy controller, calculates the reference value of energy-storage system absorbed power, obtains the power stage smoothly.
Further, when power change values is timing, the power change values of Wind turbines is comparatively large, then increase time constant filter, utilize energy-storage system to stabilize power fluctuation;
The power change values of Wind turbines is less, then on satisfied basis of stabilizing requirement, namely meet grid-connected dispatching requirement, reduce time constant filter; Power change values is for also identical time negative.
Further, when the state-of-charge of battery is higher:
Place in the charge state, then reduces time constant filter, weakens the leveling of energy-storage system;
Place in the discharged condition, then increases time constant filter, strengthens the leveling of energy-storage system;
Battery charge state higher than the upper limit, then only allows battery discharge;
When the state-of-charge of battery is on the low side:
Place in the discharged condition, then reduces time constant filter;
Place in the charge state, then increases time constant filter;
Battery charge state lower than lower limit, then only allows battery charging.
Compared with the prior art, beneficial effect of the present invention is:
The present invention's application fuzzy controller, according to changing value and the battery charge state of Wind turbines power output, the time constant filter of real-time adjustment low pass filter, while stabilizing power fluctuation of wind power generating set as far as possible, effectively can ensure that battery charge state maintains in limited range, avoids battery to overcharge or over-discharge can.
Battery energy storage system is connected on the grid-connected ac bus of double-fed blower fan by the present invention.The three-phase voltage of the active power that supervisory control system collection blower fan exports and ac bus and electric current, by the changing value of control algolithm according to the state-of-charge of lithium battery and blower fan power output, time constant filter is regulated by fuzzy controller, change cell output gradually, thus make state-of-charge be stabilized in limited range, the simultaneously power output of level and smooth blower fan as much as possible.The present invention's application fuzzy controller, by regulating the time constant filter of low pass filter in real time, while stabilizing power fluctuation of wind power generating set as far as possible, effectively can ensure that battery charge state maintains in limited range, avoids battery to overcharge or over-discharge can.
Accompanying drawing explanation
Fig. 1 is a kind of fuzzy control method structure chart stabilizing the battery energy storage system of wind power fluctuation provided by the invention.
Fig. 2 is a kind of fuzzy control method flow chart stabilizing the battery energy storage system of wind power fluctuation provided by the invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
As shown in Figure 1, for accessing the wind power system structure chart of battery energy storage system.Energy-storage system is connected on the grid-connected ac bus of double-fed blower fan.The active power that blower fan sends is P w, the power that energy-storage system absorbs is P bAT, the power that blower fan exports after level and smooth is P oUT.Supervisory control system gathers the active power and the three-phase voltage of ac bus and electric current that blower fan exports, and calculates by control algolithm the reference power P that energy-storage system need absorb bAT_ref, control energy accumulation current converter by energy-storage system according to reference power and absorb corresponding power.
Be illustrated in figure 2 the control principle drawing that power of fan is level and smooth.The step of power smooth algorithm is as follows:
Step one, by the output power value in blower fan current sample period and in the upper sampling period after level and smooth the value of power output poor, obtain power change values Δ P;
Step 2, is sampled by energy-storage system and obtains the state-of-charge SOC of current lithium battery;
Step 3, is input in fuzzy controller by the state-of-charge SOC of power change values Δ P and lithium battery, calculates suitable time constant filter τ by controller:
Step 4, the time constant filter τ that wave digital lowpass filter calculates according to fuzzy controller, calculates the reference value P of energy-storage system absorbed power bAT_ref, obtain the power stage P smoothly oUT.
In above-mentioned steps, the temperature of state-of-charge SOC and the battery of lithium battery in energy-storage system, discharge-rate, the factor such as battery life and self discharge are all relevant, do not consider above-mentioned influencing factor herein, only suppose lithium battery in the ideal situation, calculate state-of-charge with Current integrating method (ampere-hour method):
SOC ( t ) = SOC ( t 0 ) + ∫ t 0 t i ( t ) dt
Low-pass filtering adopts single order Butterworth LPF.Principle in reference signal analysis and treament and method, the output-power fluctuation of Wind turbines comprises HFS and low frequency part.Wherein, the fluctuation of low frequency part is more slow, and power conversion rate is less, although bring interference to electric power system after injecting electrical network, electric power system has time enough to respond.But the power variation rate of HFS is large, bring the greater impact of short time after injecting electrical network, electric power system cannot respond in time, is unfavorable for the safe operation of electric power system.Therefore, the filtering principle in reference signal process, introduce low pass filter can filtering wind power fluctuation in high fdrequency component, reduce power variation rate, the power stage of steady Wind turbines.Application energy-storage system, is changed the power of Wind turbines output, can realize the low-pass filtering of Wind turbines power output, reach the object stabilizing fluctuation by its discharge and recharge.
The effect of fuzzy controller is exactly draw suitable filter time constant τ according to the state-of-charge of power change values and battery, thus dynamically stabilize the power output of Wind turbines in real time, control the power of energy-storage system absorption and the state-of-charge of battery simultaneously.
From the angle of power change values, when power change values is timing, if the power change values of Wind turbines is comparatively large, then increases time constant filter, utilize energy-storage system to stabilize power fluctuation as far as possible; If the power change values of Wind turbines is less, then stabilizes on the basis of requirement satisfied, suitably reduce time constant filter, alleviate the burden of energy-storage system.Power change values is for also identical time negative.
From the angle of battery charge state, when the state-of-charge of battery is higher, if place in the charge state, then reduces time constant filter, weaken the leveling of energy-storage system, thus reduce the power of energy-storage system absorption, avoid battery charge state excessively rapid growth; If place in the discharged condition, then increase time constant filter, strengthen the leveling of energy-storage system, thus increase the power of energy-storage system releasing, accelerate battery charge state and decline; If battery charge state is higher than the upper limit, then only allow battery discharge, prevent battery from occurring overcharging phenomenon.Vice versa, when the state-of-charge of battery is on the low side, if place in the discharged condition, then reduces time constant filter; If place in the charge state, then suitably increase time constant filter; If battery charge state is lower than lower limit, then only allows battery charging, prevent battery from occurring putting phenomenon.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; those of ordinary skill in the field still can modify to the specific embodiment of the present invention with reference to above-described embodiment or equivalent replacement; these do not depart from any amendment of spirit and scope of the invention or equivalent replacement, are all applying within the claims of the present invention awaited the reply.

Claims (8)

1. stabilize a fuzzy control method for the battery energy storage system of wind power fluctuation, it is characterized in that, described method comprises
(1) power output changing value is calculated;
(2) state-of-charge of lithium battery is obtained;
(3) the power fluctuation frequency band determination appropriate filter time constant stabilized is needed according to battery energy storage system;
(4) power output that the reference value of energy-storage system absorbed power adds current wind-powered electricity generation obtain level and smooth after power stage; With high pass filter, filtering is carried out to mixed energy storage system power instruction and obtain its high-frequency fluctuation component.
2. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 1, it is characterized in that, described step (1) comprise from the output power value in the current sample period of blower fan and in the upper sampling period after level and smooth the difference of output power value, obtain power change values.
3. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 1, it is characterized in that, described step (2) comprises the state-of-charge being obtained current lithium battery by the sampling of energy-storage system.
4. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 3, it is characterized in that, the state-of-charge Current integrating method of described lithium battery calculates state-of-charge:
SOC ( t ) = SOC ( t 0 ) + ∫ t 0 t i ( t ) dt
Namely current time soc battery charge state is the integration sum of initial state-of-charge and electric current, t 0for initial time, t is current time.
5. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 1, it is characterized in that, described step (3) comprises and is input in fuzzy controller by the state-of-charge of power change values and lithium battery, the time constant filter calculated by controller, time constant be second level to a minute level.
6. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 1, it is characterized in that, described step (4) comprises the time constant filter that wave digital lowpass filter calculates according to fuzzy controller, calculate the reference value of energy-storage system absorbed power, obtain the power stage smoothly.
7. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 6, it is characterized in that, when power change values is timing, the power change values of Wind turbines is larger, then increase time constant filter, utilize energy-storage system to stabilize power fluctuation;
The power change values of Wind turbines is less, then on satisfied basis of stabilizing requirement, namely meet grid-connected dispatching requirement, reduce time constant filter; Power change values is for also identical time negative.
8. a kind of fuzzy control method of battery energy storage system stabilizing wind power fluctuation as claimed in claim 6, is characterized in that, when the state-of-charge of battery is higher:
Place in the charge state, then reduces time constant filter, weakens the leveling of energy-storage system;
Place in the discharged condition, then increases time constant filter, strengthens the leveling of energy-storage system;
Battery charge state higher than the upper limit, then only allows battery discharge;
When the state-of-charge of battery is on the low side:
Place in the discharged condition, then reduces time constant filter;
Place in the charge state, then increases time constant filter;
Battery charge state lower than lower limit, then only allows battery charging.
CN201510122738.XA 2015-03-19 2015-03-19 Fuzzy control method of battery energy storage system for restraining wind power fluctuation Pending CN104659799A (en)

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Cited By (7)

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Publication number Priority date Publication date Assignee Title
CN105633946A (en) * 2015-10-21 2016-06-01 长沙理工大学 Novel modeling method for extracting daily net active power random fuzzy characteristics of high wind power penetration busbars
CN108429261A (en) * 2018-03-27 2018-08-21 浙江工业大学 A kind of quick repetitive control of fractional order suitable for LCL type Active Power Filter-APF
CN109245160A (en) * 2018-10-15 2019-01-18 许继集团有限公司 A kind of light storage grid-connected control method and device for stabilizing photovoltaic power fluctuation
CN109327031A (en) * 2018-09-30 2019-02-12 国网湖南省电力有限公司 Directly driven wind-powered multi-computer system power association control method and system based on battery energy storage
CN109921416A (en) * 2019-03-15 2019-06-21 国网冀北电力有限公司 The determination method and device of mixed energy storage system power and capacity
CN112018751A (en) * 2020-08-27 2020-12-01 国网新疆电力有限公司经济技术研究院 Hybrid energy storage system composite control method based on variable filtering time constant
CN118432146A (en) * 2024-07-02 2024-08-02 内蒙古工业大学 Flywheel-lithium battery hybrid energy storage stabilizing wind farm grid-connected power control strategy

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105633946A (en) * 2015-10-21 2016-06-01 长沙理工大学 Novel modeling method for extracting daily net active power random fuzzy characteristics of high wind power penetration busbars
CN105633946B (en) * 2015-10-21 2018-10-26 长沙理工大学 A kind of high wind-powered electricity generation of extraction penetrates the modeling method of busbar day net active power Random-fuzzy feature
CN108429261A (en) * 2018-03-27 2018-08-21 浙江工业大学 A kind of quick repetitive control of fractional order suitable for LCL type Active Power Filter-APF
CN109327031A (en) * 2018-09-30 2019-02-12 国网湖南省电力有限公司 Directly driven wind-powered multi-computer system power association control method and system based on battery energy storage
CN109245160A (en) * 2018-10-15 2019-01-18 许继集团有限公司 A kind of light storage grid-connected control method and device for stabilizing photovoltaic power fluctuation
CN109921416A (en) * 2019-03-15 2019-06-21 国网冀北电力有限公司 The determination method and device of mixed energy storage system power and capacity
CN112018751A (en) * 2020-08-27 2020-12-01 国网新疆电力有限公司经济技术研究院 Hybrid energy storage system composite control method based on variable filtering time constant
CN118432146A (en) * 2024-07-02 2024-08-02 内蒙古工业大学 Flywheel-lithium battery hybrid energy storage stabilizing wind farm grid-connected power control strategy

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