CN107134815B - A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks - Google Patents
A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks Download PDFInfo
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- CN107134815B CN107134815B CN201710371948.1A CN201710371948A CN107134815B CN 107134815 B CN107134815 B CN 107134815B CN 201710371948 A CN201710371948 A CN 201710371948A CN 107134815 B CN107134815 B CN 107134815B
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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
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load by adjustment of reactive power
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/48—Controlling the sharing of the in-phase component
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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
- H02J3/50—Controlling the sharing of the out-of-phase component
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- H02J2103/30—
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/10—Flexible AC transmission systems [FACTS]
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks, the load variation in the generated output and micro-capacitance sensor of the wind light generation equipment in micro-capacitance sensor can be predicted in this monitoring method, traceable bulk power grid grid entry point information of voltage, bulk power grid dispatch command is obtained in real time, the battery module battery capacity of real-time detection, set energy storage system discharges section, based on SOC muti-layer control tactics, management is optimized to energy-storage system energy, amendment energy-storage system charge-discharge electric power in real time, optimize energy-storage system working performance, formulate and implement optimum control strategy, ensure that micro-capacitance sensor participates in bulk power grid voltage according to the demand of bulk power grid when grid-connected and adjusts, ensure voltage stabilization when being incorporated into the power networks.
Description
Technical field
The present invention relates to a kind of monitoring method of wind-light storage one micro-capacitance sensor that can be incorporated into the power networks.
Background technique
The energy and environmental crisis have become the major issue for influencing Human Sustainable Development, clean, the benefit of renewable energy
With being the fundamental way for solving the problems, such as this.With the renewable energy power generations technology such as wind-power electricity generation, photovoltaic power generation, wave-activated power generation
Maturation, more and more renewable energy micro-capacitance sensors in a distributed manner form access power grid, meet people's daily production and life use
The demand of electricity.
Micro-capacitance sensor based on wind-powered electricity generation and photovoltaic power generation is as super-pressure, remote, bulk power grid powering mode supplement, generation
Table the new developing direction of electric system.The motive power of Wind turbines is wind energy, intermittence and random fluctuation of the wind energy due to wind
Property make the power of the sending of Wind turbines be interval and fluctuate, the wind energy access system of these fluctuations can give electric system
Bring impact.Simultaneously as Wind turbines are that asynchronous machine while issuing active power, needs to absorb if not being controlled
Certain reactive power does not utilize the voltage stabilization of system.When wind-powered electricity generation permeability is lower, these influences are unobvious, with wind
The raising of electro-osmosis rate, influence of the wind energy to electric system is gradually increased, while bringing economic benefit to electric system
Certain difficulty is caused to the operation of power grid.
In the biggish electric system of the grid-connected specific gravity of wind light generation, since wind power plant and photovoltaic DC field output power have not
Complete controllability and expected property can change original electric power system tide distribution, route transmission power and entire to a certain extent
The inertia of system, to produce influence to the active and reactive power of power grid balance, frequency and voltage stabilization.Energy storage technology is very
The fluctuation and stochastic problems that generation of electricity by new energy is solved in big degree effectively improve predictability, the determination in intermittent micro- source
Property and economy.In addition, energy storage technology is in frequency modulation and voltage modulation and improves the active and reactive equilibrium level of system, improves micro-capacitance sensor and stablize
Effect in terms of service ability also obtains research extensively and proves.In the higher electric system of wind light generation permeability, electricity
When the Force system frequency of occurrences and voltage change, it is desirable that honourable accumulation to the real-time of stability of power system and power quality compared with
By force, it is necessary to according to the real-time status of electric system, fully take into account the regulating power of honourable accumulation, just can guarantee electric system
Reliable and economical operation.
Summary of the invention
The present invention provides a kind of monitoring method of wind-light storage one micro-capacitance sensor that can be incorporated into the power networks, and the monitoring method being somebody's turn to do can be pre-
Load variation in the generated output and micro-capacitance sensor of wind light generation equipment in micrometer power grid, traceable bulk power grid grid entry point voltage
Information, obtains bulk power grid dispatch command in real time, and the battery module battery capacity of real-time detection sets energy storage system discharges area
Between, SOC muti-layer control tactics are based on, management is optimized to energy-storage system energy, correct energy-storage system charge-discharge electric power in real time,
Optimize energy-storage system working performance, formulate and implement optimum control strategy, ensures micro-capacitance sensor when grid-connected according to bulk power grid
Demand participate in bulk power grid voltage and adjust, ensure voltage stabilization when being incorporated into the power networks.
To achieve the goals above, the present invention provides a kind of monitoring side of wind-light storage one micro-capacitance sensor that can be incorporated into the power networks
Method, method include the following steps:
S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant in real time and photovoltaic power generation is set
Standby operation data, and storing data obtain load power demand situation in micro-capacitance sensor in real time；According to wind power plant, light
Lie prostrate generating equipment operation data, it is active to the output of wind power plant, photovoltaic power generation equipment in the following predetermined instant and
It is idle to be predicted；
S2. it acquires grid entry point information of voltage, while determining that micro-capacitance sensor is active and idle output according to bulk power grid dispatch command
Demand；
S3. real-time detection obtains the SOC of battery module, sets energy storage system discharges section, constructs SOC hierarchical control plan
Slightly；
S4. by micro-capacitance sensor is active and idle output demand, current SOC muti-layer control tactics, loads function in current micro-capacitance sensor
Rate demand, wind power plant and photovoltaic power generation equipment are exportable active and idle as constraint condition, realize the excellent of micro-capacitance sensor
Change operation.
Preferably, in step s3, following specific steps are specifically included:
S31. energy storage system discharges section is set
Energy storage system discharges section determiner does not break through power grid after receiving wind power can utilize spatial margins value
Period, set the discharge range α of energy-storage system, 0≤α < 100%, i.e. energy storage system discharges power and receive remaining after wind-powered electricity generation
Space ratio be α；α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge；Based on discharge range α
Energy-storage system charge-discharge electric power it is as follows:
Wherein PESSIt (t) is t moment energy-storage system charge-discharge electric power；PwdIt (t), is respectively t moment wind power plant and optical electric field group
The sum of real output and wind-powered electricity generation and photoelectricity can run domain extreme value；α is the discharge range of energy-storage system；
Energy-storage system charge-discharge energy EtAnd energy-storage system charge and discharge cumulative capacity W after each scheduling slottIt is as follows
It is shown:
Wherein t1, t2The respectively starting of charge and discharge and finish time；ηcharge, ηdischargeRespectively energy-storage system fills
Discharging efficiency；PESSFor energy-storage system charge-discharge electric power；E0For energy-storage system primary power.
S32. SOC muti-layer control tactics are constructed
Energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: not charged by the SOC multi-layer controller
Emergency stratum, the preventive stratum that charges less, normal charge and discharge safe floor, the preventive stratum that discharges less, do not discharge emergency stratum；
Energy-storage system charge-discharge energy requirements PESS, through the determining adjusted coefficient K of energy storage Energy Management SystemSOCIt is moved
State adjustment obtains the practical charge and discharge instruction P of energy-storage systemSOC_ESS；KSOCValue is similar with Sigmoid function characteristic, therefore utilizes
Sigmoid function is modified it, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is inElectric dischargeUnder state, PESS(t)<0
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCIt corrects and determines the practical charge-discharge electric power P of energy-storage systemSOC_ESS(t) are as follows:
PSOC_ESS(t)=KSOCPESS(t)(9)
Wherein S is the state-of-charge of energy-storage system；SmaxFor the lower limit for the emergency stratum that do not charge；Smax、Spre_maxFor few charging
The bound of preventive stratum；Spre_max、Spre_minFor the bound of normal charge and discharge safe floor；SminFor under few electric discharge preventive stratum
Limit；XcTo calculate K under energy-storage system charged stateSOCCoefficient；XfTo calculate K under energy storage system discharges stateSOCCoefficient.
Preferably, photovoltaic power generation equipment includes photovoltaic module, it is described in step sl, in the following way predict photovoltaic hair
The output power of electric equipment:
S11. the power output model of photovoltaic module: P is establishedpv(t)=ηinvηpv(t)G(t)Spv (10)
S in formulapvArea (the m of solar irradiation radiation is received for photovoltaic panel2), G (t) light radiation numerical value (W/m2), ηpv
It (t) is photovoltaic module energy conversion efficiency, ηinvFor inverter transfer efficiency；
Wherein, the energy conversion efficiency of photovoltaic module and the temperature of environment are related, and environment temperature turns photovoltaic module energy
Change the influence of efficiency are as follows:
η in formularFor the reference energy transfer efficiency tested under photovoltaic module normal temperature, β is that temperature converts effect to energy
The influence coefficient of rate, TCIt (t) is the temperature value of t moment photovoltaic module, TCrFor photovoltaic module reference standard temperature value；Photovoltaic module
Solar radiation is absorbed, can work with environment temperature one and photovoltaic module temperature is caused to change, expression formula is as follows:
T is the environment temperature of surrounding, T in formularatThe rated temperature of photovoltaic module operation；
S12. the sunshine information and environment temperature on the periphery of real-time detection and collection photovoltaics component, according to history sunshine information
And environment temperature, predict the intensity of sunshine and environment temperature in following a period of time；
S13. according to the intensity of sunshine and environment temperature in following a period of time, the power output model of above-mentioned photovoltaic module is utilized
Calculate the generated output of the photovoltaic power generation equipment in future time.
Preferably, it also has the following steps after S1, according to wind speed and wind power plant frequency modulation, pressure regulation spare capacity needs, utilizes
The hypervelocities of Wind turbines controls and award setting, determine the initial active power of each Wind turbines, reactive power power output and
Initial speed, initial propeller pitch angle.
Preferably, the determination of the initial speed of each Wind turbines is related with wind speed, defeated according to Wind turbines active power
Output capacity and the stand-by requirement of electric system frequency modulation, are divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed for wind speed
4 parts of section.Wherein, threshold wind velocity section is incision wind speed to threshold wind speed, and threshold wind velocity section Wind turbines active power exports energy
Power is smaller, and rotation speed change influences the output of Wind turbines active power little；The low wind speed section upper limit is that can be mentioned using hypervelocity control
For the wind speed of whole electric system frequency modulation stand-by requirements；When high wind speed section lower limit is using MPPT maximum power point tracking, Wind turbines
Revolving speed reaches wind speed when maximum (top) speed；The initial speed of corresponding different wind speed, Wind turbines is different, initial speed ω and wind speed
Relationship meets:
In formula (4), RWFor Wind turbines radius, λ is the leaf obtained when Wind turbines are controlled according to MPPT maximum power point tracking
Tip-speed ratio, λ ' be Wind turbines according to the active power of reserved d% as frequency modulation spare capacity needs when obtained tip speed ratio,
vWind speedFor the Wind turbines wind speed detected, vThreshold wind speedFor the maximum wind velocity of threshold wind velocity section, vmid.inFor the minimum wind of middle wind speed section
Speed.
Preferably, according to wind speed and wind power plant frequency modulation, pressure regulation spare capacity needs, using Wind turbines hypervelocity control with
Award setting determines the initial active power, reactive power power output, initial speed, initial propeller pitch angle of each Wind turbines, with
And the state-of-charge of energy storage device；The wherein initial active power of the frequency modulation spare capacity needs of wind power plant and each Wind turbines
Power output, initial speed, initial propeller pitch angle and energy storage device state-of-charge are related, pressure regulation spare capacity needs of wind power plant and each
The initial reactive power power output of platform Wind turbines is related.
Preferably, in step s 4, for the distribution of micro-capacitance sensor active power, Wind turbines and photovoltaic power generation are preferentially utilized
The active reserve capacity of equipment itself, when the active reserve capacity deficiency of Wind turbines and photovoltaic power generation equipment itself, then benefit
The deficiency of active power power output is made up with energy-storage system.
Monitoring method of the invention has the advantages that (1) Accurate Prediction wind power plant and photovoltaic power generation equipment
Output power situation of change；(2) voltage change of automatic tracing grid entry point determines the reactive requirement of grid entry point in real time；(3) it controls
Strategy takes into account grid entry point reactive requirement and micro-capacitance sensor operating condition, can provide active power simultaneously for bulk power grid, and according to certain
Priority, by reactive power, meets the dispatching requirement and micro-capacitance sensor internal load demand of bulk power grid by distinct device in micro-capacitance sensor
While, it can effectively press down the impact of micro-capacitance sensor voltage caused by bulk power grid；(4) energy storage system discharges section is set, SOC is based on
Muti-layer control tactics optimize management to energy-storage system energy, correct energy-storage system charge-discharge electric power in real time, optimize energy storage system
System working performance has taken into account power supply reliability and has ensured the safety of micro-capacitance sensor, extended the service life of equipment in micro-capacitance sensor.
Detailed description of the invention
Fig. 1 shows the block diagram of wind-light storage one micro-capacitance sensor and its monitoring device that one kind of the invention can be incorporated into the power networks；
Fig. 2 shows the operations and monitoring method of a kind of micro-capacitance sensor of the invention.
Specific embodiment
Fig. 1 is the wind-light storage one micro-capacitance sensor 10 that shows one kind of the invention and can be incorporated into the power networks, which includes:
Wind power plant 14, photovoltaic power generation equipment 12, energy-storage system 13, SVG equipment 18, DC bus, for by DC bus with
The two-way change of current module 1 of AC/DC of the connection of bulk power grid 20 and isolation, for connecting photovoltaic power generation equipment 12 and DC bus
Load 17 and monitoring device 11 in the two-way change of current module 2 15 of AC/DC, micro-capacitance sensor.
Referring to Fig. 1, which becomes including battery module 131, the two-way DC/DC connecting with above-mentioned DC bus
Parallel operation 132.
The monitoring device 11 includes: photovoltaic power generation equipment monitoring module 114, for monitoring in real time in battery energy storage system 10
Photovoltaic power generation equipment 12, and the generated output of photovoltaic power generation equipment 12 is predicted；Energy-storage system monitoring module 115 is used
Battery module 131 and DC/DC bidrectional transducer 132 in real time monitoring energy-storage system 131；Grid-connected pressure regulation monitoring module
112；Frequency modulation and voltage modulation module 116 participates in the frequency and voltage adjustment of bulk power grid 20, including frequency modulation mould for controlling micro-capacitance sensor 10
Block, voltage regulating module and Collaborative Control module；Middle control module 117, for determining the operation reserve of micro-capacitance sensor 10, and to above-mentioned each mould
Block issues instruction, to execute the power supply strategy；Wind power plant monitoring module 113, for monitoring wind power plant in real time
14；Load monitoring module 118, for the load 17 in real-time micro-capacitance sensor 10；Bus module 111, for the monitoring device 11
The liaison of modules.
Communication module 111, for the communication between above-mentioned modules, the bus communication module 111 is double by redundancy
CAN bus is connected with other modules.
The grid-connected pressure regulation monitoring module 112 includes: bulk power grid contact unit, for regulating and controlling center from bulk power grid 20 in real time
Know the operating condition and related scheduling information of bulk power grid 20；Two-way one monitoring unit of change of current module of AC/DC；For controlling
The operating mode of the two-way change of current module one of AC/DC, pressure regulation unit for monitoring the voltage change of grid entry point, and determine micro-capacitance sensor
Voltage compensation strategy.
The pressure regulation unit includes that grid entry point voltage measurement subelement, reactive requirement determine subelement and idle output distribution
Subelement., the reactive requirement determines that the voltage value that subelement is obtained according to grid entry point voltage measurement subelement and its voltage are joined
The error signal for examining value determines current reactive requirement amount.The idle power output subelement is according to the nothing of wind power equipment and light-preserved system
Reactive requirement is distributed to wind power plant, light-preserved system and SVG equipment according to priority distribution method by function Power generation limits.
Photovoltaic power generation equipment 12 includes multiple photovoltaic generating modules, and photovoltaic power generation equipment monitoring module 114 includes at least light
Lie prostrate voltage, the electric current, frequency detection equipment, light-intensity test equipment of generating equipment.
The wind power plant monitoring module 113 obtains the operation data of wind power plant 12 in real time, and stores number
According to.
Energy-storage system monitoring module 116 includes at least accumulator voltage, electric current, SOC and obtains equipment and temperature detection
Equipment can monitor the SOC of battery module in real time.
Preferably, energy storage system discharges section determiner does not break through power grid after receiving wind power can utilize space
The period of limiting value sets the discharge range α of energy-storage system, 0≤α < 100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation
Remaining space ratio is α afterwards；α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge；Based on putting
The energy-storage system charge-discharge electric power of electric section α is as follows:
Wherein PESSIt (t) is t moment energy-storage system charge-discharge electric power；PwdIt (t), is respectively t moment wind power plant and optical electric field group
The sum of real output and wind-powered electricity generation and photoelectricity can run domain extreme value；α is the discharge range of energy-storage system；
Energy-storage system charge-discharge energy EtAnd energy-storage system charge and discharge cumulative capacity W after each scheduling slottIt is as follows
It is shown:
Wherein t1, t2The respectively starting of charge and discharge and finish time；ηcharge, ηdischargeRespectively energy-storage system fills
Discharging efficiency；PESSFor energy-storage system charge-discharge electric power；E0For energy-storage system primary power.
Preferably, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities by the SOC multi-layer controller:
Do not charge emergency stratum, less charge preventive stratum, normal charge and discharge safe floor, less discharge preventive stratum, do not discharge emergency stratum.
Preferably, energy-storage system charge-discharge energy requirements PESS, through the determining correction factor of energy storage Energy Management System
KSOCDynamic adjustment is carried out, the practical charge and discharge instruction P of energy-storage system is obtainedSOC_ESS；KSOCValue is similar with Sigmoid function characteristic,
Therefore it is modified using Sigmoid function, is embodied as follows:
Energy-storage system is under charged state, PESS(t)>0
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is inElectric dischargeUnder state, PESS(t)<0
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCIt corrects and determines the practical charge-discharge electric power P of energy-storage systemSOC_ESS(t) are as follows:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system；SmaxFor the lower limit for the emergency stratum that do not charge；Smax、Spre_maxFor few charging
The bound of preventive stratum；Spre_max、Spre_minFor the bound of normal charge and discharge safe floor；SminFor under few electric discharge preventive stratum
Limit；XcTo calculate K under energy-storage system charged stateSOCCoefficient；XfTo calculate K under energy storage system discharges stateSOCCoefficient.
Middle control module 117 includes at least CPU element, data storage cell and display unit.
Bulk power grid contact module 112 includes at least wireless telecom equipment.
Grid entry point voltage measurement subelement is included at least for detecting 10 voltage of bulk power grid 20 and micro-capacitance sensor, electric current and frequency
Detection device, data acquisition unit and data processing unit.Data acquisition unit includes acquisition pretreatment and A/D modulus of conversion
Block acquires eight tunnel telemetered signal amounts, includes grid side A phase voltage, electric current, three-phase voltage, the electric current of energy-accumulating power station side.Telemetering amount
Strong ac signal (5A/110V) can be changed into without distortion inside by high-precision current in terminal and voltage transformer
Weak electric signal, after being filtered enter A/D chip carry out analog-to-digital conversion, it is converted after digital signal through data processing unit
It calculates, obtains the 20 side phase voltage current value of three-phase voltage current value and bulk power grid of 10 side of wind power plant energy-storage system.This telemetering letter
Number amount processing use high-speed and high-density synchronized sampling, there are also improved fft algorithms for automatic frequency tracking technology, so precision obtains
To fully ensuring that, it can complete that 10 side of wind power plant energy-storage system is active and reactive and survey of the electric energy from fundamental wave to higher harmonic components
Amount and processing.
Referring to attached drawing 2, the method for the present invention includes following steps:
S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant in real time and photovoltaic power generation is set
Standby operation data, and storing data obtain load power demand situation in micro-capacitance sensor in real time；According to wind power plant, light
Lie prostrate generating equipment operation data, it is active to the output of wind power plant, photovoltaic power generation equipment in the following predetermined instant and
It is idle to be predicted；
S2. it acquires grid entry point information of voltage, while determining that micro-capacitance sensor is active and idle output according to bulk power grid dispatch command
Demand；
S3. real-time detection obtains the SOC of battery module, sets energy storage system discharges section, constructs SOC hierarchical control plan
Slightly；
S4. by micro-capacitance sensor is active and idle output demand, current SOC muti-layer control tactics, loads function in current micro-capacitance sensor
Rate demand, wind power plant and photovoltaic power generation equipment are exportable active and idle as constraint condition, realize the excellent of micro-capacitance sensor
Change operation.
Preferably, in step s3, following specific steps are specifically included:
S31. energy storage system discharges section is set
Energy storage system discharges section determiner does not break through power grid after receiving wind power can utilize spatial margins value
Period, set the discharge range α of energy-storage system, 0≤α < 100%, i.e. energy storage system discharges power and receive remaining after wind-powered electricity generation
Space ratio be α；α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge；Based on discharge range α
Energy-storage system charge-discharge electric power it is as follows:
Wherein PESSIt (t) is t moment energy-storage system charge-discharge electric power；PwdIt (t), is respectively t moment wind power plant and optical electric field group
The sum of real output and wind-powered electricity generation and photoelectricity can run domain extreme value；α is the discharge range of energy-storage system；
Energy-storage system charge-discharge energy EtAnd energy-storage system charge and discharge cumulative capacity W after each scheduling slottIt is as follows
It is shown:
Wherein t1, t2The respectively starting of charge and discharge and finish time；ηcharge, ηdischargeRespectively energy-storage system fills
Discharging efficiency；PESSFor energy-storage system charge-discharge electric power；E0For energy-storage system primary power.
S32. SOC muti-layer control tactics are constructed
Energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: not charged by the SOC multi-layer controller
Emergency stratum, the preventive stratum that charges less, normal charge and discharge safe floor, the preventive stratum that discharges less, do not discharge emergency stratum；
Energy-storage system charge-discharge energy requirements PESS, through the determining adjusted coefficient K of energy storage Energy Management SystemSOCIt is moved
State adjustment obtains the practical charge and discharge instruction P of energy-storage systemSOC_ESS；KSOCValue with
Sigmoid function characteristic is similar, therefore is modified using Sigmoid function to it, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is inElectric dischargeUnder state, PESS(t)<0
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCIt corrects and determines the practical charge-discharge electric power P of energy-storage systemSOC_ESS(t) are as follows:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system；SmaxFor the lower limit for the emergency stratum that do not charge；Smax、Spre_maxFor few charging
The bound of preventive stratum；Spre_max、Spre_minFor the bound of normal charge and discharge safe floor；SminFor under few electric discharge preventive stratum
Limit；XcTo calculate K under energy-storage system charged stateSOCCoefficient；XfTo calculate K under energy storage system discharges stateSOCCoefficient.
Preferably, photovoltaic power generation equipment includes photovoltaic module, it is described in step sl, in the following way predict photovoltaic hair
The output power of electric equipment:
S11. the power output model of photovoltaic module: P is establishedpv(t)=ηinvηpv(t)G(t)Spv(10)
S in formulapvArea (the m of solar irradiation radiation is received for photovoltaic panel2), G (t) light radiation numerical value (W/m2), ηpv
It (t) is photovoltaic module energy conversion efficiency, ηinvFor inverter transfer efficiency；
Wherein, the energy conversion efficiency of photovoltaic module and the temperature of environment are related, and environment temperature turns photovoltaic module energy
Change the influence of efficiency are as follows:
η in formularFor the reference energy transfer efficiency tested under photovoltaic module normal temperature, β is that temperature converts effect to energy
The influence coefficient of rate, TCIt (t) is the temperature value of t moment photovoltaic module, TCrFor photovoltaic module reference standard temperature value；Photovoltaic module
Solar radiation is absorbed, can work with environment temperature one and photovoltaic module temperature is caused to change, expression formula is as follows:
T is the environment temperature of surrounding, T in formularatThe rated temperature of photovoltaic module operation；
S12. the sunshine information and environment temperature on the periphery of real-time detection and collection photovoltaics component, according to history sunshine information
And environment temperature, predict the intensity of sunshine and environment temperature in following a period of time；
S13. according to the intensity of sunshine and environment temperature in following a period of time, the power output model of above-mentioned photovoltaic module is utilized
Calculate the generated output of the photovoltaic power generation equipment in future time.
Preferably, it also has the following steps after S1, according to wind speed and wind power plant frequency modulation, pressure regulation spare capacity needs, utilizes
The hypervelocities of Wind turbines controls and award setting, determine the initial active power of each Wind turbines, reactive power power output and
Initial speed, initial propeller pitch angle.
Preferably, the determination of the initial speed of each Wind turbines is related with wind speed, defeated according to Wind turbines active power
Output capacity and the stand-by requirement of electric system frequency modulation, are divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed for wind speed
4 parts of section.Wherein, threshold wind velocity section is incision wind speed to threshold wind speed, and threshold wind velocity section Wind turbines active power exports energy
Power is smaller, and rotation speed change influences the output of Wind turbines active power little；The low wind speed section upper limit is that can be mentioned using hypervelocity control
For the wind speed of whole electric system frequency modulation stand-by requirements；When high wind speed section lower limit is using MPPT maximum power point tracking, Wind turbines
Revolving speed reaches wind speed when maximum (top) speed；The initial speed of corresponding different wind speed, Wind turbines is different, initial speed ω and wind speed
Relationship meets:
In formula (4), RWFor Wind turbines radius, λ is the leaf obtained when Wind turbines are controlled according to MPPT maximum power point tracking
Tip-speed ratio, λ ' be Wind turbines according to the active power of reserved d% as frequency modulation spare capacity needs when obtained tip speed ratio,
vWind speedFor the Wind turbines wind speed detected, vThreshold wind speedFor the maximum wind velocity of threshold wind velocity section, vmid.inFor the minimum wind of middle wind speed section
Speed.
Preferably, according to wind speed and wind power plant frequency modulation, pressure regulation spare capacity needs, using Wind turbines hypervelocity control with
Award setting determines the initial active power, reactive power power output, initial speed, initial propeller pitch angle of each Wind turbines, with
And the state-of-charge of energy storage device；The wherein initial active power of the frequency modulation spare capacity needs of wind power plant and each Wind turbines
Power output, initial speed, initial propeller pitch angle and energy storage device state-of-charge are related, pressure regulation spare capacity needs of wind power plant and each
The initial reactive power power output of platform Wind turbines is related.
Wind power plant frequency modulation spare capacity needs are controlled by the hypervelocity of each Wind turbines and are provided jointly with award setting.?
After determining that the hypervelocity control of Wind turbines and award setting undertake how many wind power plant frequency modulation spare capacity needs respectively, it can be obtained
Corresponding to the initial speed and initial propeller pitch angle of the wind power plant frequency modulation spare capacity needs, and by initial speed and initial propeller pitch angle
It controls Wind turbines and issues initial active power.When wind speed is in threshold wind velocity section, Wind turbines using maximum power point with
Track control, ignores wind power plant frequency modulation spare capacity needs；In low wind speed section, electric power system dispatching requires Wind turbines to reserve
Wind power plant frequency modulation non-firm power is all controlled by the hypervelocity of Wind turbines and is provided；In middle wind speed section, frequency modulation non-firm power preferentially by
The hypervelocity of Wind turbines, which controls, to be provided, and insufficient section is provided using the award setting of Wind turbines；In high wind speed section, wind turbine
Group uses constant speed control, and frequency modulation non-firm power is provided by the award setting of Wind turbines.
Preferably, in step s 4, for the distribution of micro-capacitance sensor active power, Wind turbines and photovoltaic power generation are preferentially utilized
The active reserve capacity of equipment itself, when the active reserve capacity deficiency of Wind turbines and photovoltaic power generation equipment itself, then benefit
The deficiency of active power power output is made up with energy-storage system.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, several equivalent substitute or obvious modifications is made, and performance or use is identical, all should
It is considered as belonging to protection scope of the present invention.
Claims (1)
1. the monitoring device for the wind-light storage one micro-capacitance sensor that one kind can be incorporated into the power networks characterized by comprising
Photovoltaic power generation equipment monitoring module, for monitoring photovoltaic power generation equipment in real time, and to the generated output of photovoltaic power generation equipment
It is predicted；
Energy-storage system monitoring module, for monitoring battery module and DC/DC bidrectional transducer in energy-storage system in real time；
Grid-connected pressure regulation monitoring module, comprising: bulk power grid gets in touch with unit, for knowing bulk power grid from bulk power grid regulation center in real time
Operating condition and related scheduling information；
Frequency modulation and voltage modulation module participates in the frequency and voltage adjustment of bulk power grid, including FM module, pressure regulation mould for controlling micro-capacitance sensor
Block and Collaborative Control module；
Middle control module issues instruction for determining the operation reserve of micro-capacitance sensor, and to above-mentioned each module, to execute power supply strategy；
Wind power plant monitoring module, for monitoring wind power plant in real time；
Load monitoring module, for monitoring the load in micro-capacitance sensor in real time；
Bus module, the liaison of the modules for the monitoring device；
The monitoring method of the monitoring device includes the following steps:
S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant and photovoltaic power generation equipment in real time
Operation data, and storing data obtain load power demand situation in micro-capacitance sensor in real time；It is sent out according to wind power plant, photovoltaic
The operation data of electric equipment, it is active and idle to the output of wind power plant, photovoltaic power generation equipment in the following predetermined instant
It is predicted；
S2. it acquires grid entry point information of voltage, while determining that micro-capacitance sensor is active and idle output demand according to bulk power grid dispatch command；
S3. real-time detection obtains the SOC of battery module, sets energy storage system discharges section, constructs SOC muti-layer control tactics；
S4. by micro-capacitance sensor is active and idle output demand, current SOC muti-layer control tactics, bearing power needs in current micro-capacitance sensor
Ask, wind power plant and photovoltaic power generation equipment it is exportable active and idle as constraint condition, realize the optimization fortune of micro-capacitance sensor
Row；
In step s3, following specific steps are specifically included:
S31. energy storage system discharges section is set
Energy storage system discharges section determiner do not broken through after receiving wind power power grid can using spatial margins value when
Section sets the discharge range α of energy-storage system, remaining sky after 0≤α < 100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation
Between ratio be α；α=1 when if system can utilize space without residue, α=0 if energy-storage system does not discharge；Storage based on discharge range α
Energy system charge-discharge electric power is as follows:
(1)
Wherein PESSIt (t) is t moment energy-storage system charge-discharge electric power；Pwd(t)、Respectively t moment wind power plant and light
The sum of electric field group's real output and wind-powered electricity generation and photoelectricity can run domain extreme value；α is the discharge range of energy-storage system；
Energy-storage system charge-discharge energy EtAnd energy-storage system charge and discharge cumulative capacity W after each scheduling slottFollowing institute
Show:
Wherein t1, t2The respectively starting of charge and discharge and finish time；ηcharge, ηdischargeThe respectively charge and discharge of energy-storage system
Efficiency；PESSFor energy-storage system charge-discharge electric power；E0For energy-storage system primary power；
S32. SOC muti-layer control tactics are constructed
SOC multi-layer controller, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: the emergency stratum that do not charge lacks
Charging preventive stratum, normal charge and discharge safe floor, the preventive stratum that discharges less, do not discharge emergency stratum；
Energy-storage system charge-discharge electric power PESS, through the determining adjusted coefficient K of energy storage Energy Management SystemSOCDynamic adjustment is carried out, is obtained
P is instructed to the practical charge and discharge of energy-storage systemSOC_ESS；KSOCValue is similar with Sigmoid function characteristic, therefore utilizes Sigmoid function
It is modified, is embodied as follows:
Energy-storage system is under charged state, PESS(t)>0
(5)
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is under discharge condition, PESS(t)<0
(7)
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCIt corrects and determines the practical charge-discharge electric power P of energy-storage systemSOC_ESS(t) are as follows:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system；SmaxFor the lower limit for the emergency stratum that do not charge；Smax、Spre_maxFor few charging preventive stratum
Bound；Spre_max、Spre_minFor the bound of normal charge and discharge safe floor；SminFor the lower limit of few electric discharge preventive stratum；XcFor
K is calculated under energy-storage system charged stateSOCCoefficient；XfTo calculate K under energy storage system discharges stateSOCCoefficient.
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Families Citing this family (31)
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| CN120691467A (en) * | 2025-07-29 | 2025-09-23 | 广东工业大学 | A multifunctional emergency mobile energy storage power supply management method and related device |
| CN120999792B (en) * | 2025-10-21 | 2026-02-13 | 国汇电能(山西)实业有限公司 | A Smart Control Method and System for New Energy Power Generation Based on Big Data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20080001828A (en) * | 2006-06-30 | 2008-01-04 | 한국전기연구원 | Operation Control Method Using Hybrid Distributed Power Generation System |
| CN103326389A (en) * | 2013-07-04 | 2013-09-25 | 中国能源建设集团广东省电力设计研究院 | Power prediction based micro-grid energy storage system and capacity configuration method |
| JP2013201859A (en) * | 2012-03-26 | 2013-10-03 | Toyota Industries Corp | Vehicle charge system and method |
| CN104318494A (en) * | 2014-11-21 | 2015-01-28 | 四川慧盈科技有限责任公司 | Distributed generation intelligent monitoring system |
| CN104319768A (en) * | 2014-11-03 | 2015-01-28 | 四川慧盈科技有限责任公司 | Micro-grid power supply and monitoring method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101277185B1 (en) * | 2011-12-23 | 2013-06-24 | 재단법인 포항산업과학연구원 | Dc microgrid system and ac/dc hybrid microgrid system using it |
| CN104268806A (en) * | 2014-11-03 | 2015-01-07 | 四川慧盈科技有限责任公司 | Micro grid power monitoring system |
-
2015
- 2015-04-13 CN CN201710371948.1A patent/CN107134815B/en active Active
- 2015-04-13 CN CN201510172197.1A patent/CN104734195B/en active Active
- 2015-04-13 CN CN201710371934.XA patent/CN106972542B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20080001828A (en) * | 2006-06-30 | 2008-01-04 | 한국전기연구원 | Operation Control Method Using Hybrid Distributed Power Generation System |
| JP2013201859A (en) * | 2012-03-26 | 2013-10-03 | Toyota Industries Corp | Vehicle charge system and method |
| CN103326389A (en) * | 2013-07-04 | 2013-09-25 | 中国能源建设集团广东省电力设计研究院 | Power prediction based micro-grid energy storage system and capacity configuration method |
| CN104319768A (en) * | 2014-11-03 | 2015-01-28 | 四川慧盈科技有限责任公司 | Micro-grid power supply and monitoring method |
| CN104318494A (en) * | 2014-11-21 | 2015-01-28 | 四川慧盈科技有限责任公司 | Distributed generation intelligent monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 储能装置在风光储联合发电系统中的应用;李昂等;《黑龙江电力》;20140430;第36卷(第2期);第148-151页 |
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