CN105356514A - Monitoring method for wind-light integrated power generation system capable of automatically realizing voltage balance - Google Patents

Monitoring method for wind-light integrated power generation system capable of automatically realizing voltage balance Download PDF

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Publication number
CN105356514A
CN105356514A CN201510698179.7A CN201510698179A CN105356514A CN 105356514 A CN105356514 A CN 105356514A CN 201510698179 A CN201510698179 A CN 201510698179A CN 105356514 A CN105356514 A CN 105356514A
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wind
power
power generation
idle
photovoltaic
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许驰
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CHENGDU DINGZHIHUI SCIENCE AND TECHNOLOGY Co Ltd
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CHENGDU DINGZHIHUI SCIENCE AND TECHNOLOGY Co Ltd
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    • H02J3/383
    • 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
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • 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
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/386
    • 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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • 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
    • 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)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a monitoring method for a power generation system. The monitoring method comprises the following steps: S1. obtaining operational data of a wind power generation device and a photovoltaic power generation device in real time by monitoring modules of the wind power generation device and the photovoltaic power generation device, storing the data, performing real-time detection to obtain a SOC of a storage battery module, and obtaining a load power demand condition in a micro-grid in real time; according to the operational data of the wind power generation device and the photovoltaic power generation device, and the SOC of the storage battery module, predicting output active power and reactive power of the wind power generation device and a light storage device within a future predetermined moment; S2. acquiring grid-connection point voltage information, and predicting the output active power and reactive power of the wind power generation device and the light storage device within the future predetermined moment according to a large power grid scheduling instruction to form active and reactive output demands of the power generation system; and S3. by taking the active and reactive output demands of the power generation system, the current SOC of battery energy storage, the current load power demand in the grid, and the output active power and reactive power of the wind power generation device and the photovoltaic power generation device as constraint conditions, realizing optimized operation of the power generation system.

Description

A kind of method for supervising that automatically can realize the integrated wind-solar electricity generating system of the balance of voltage
Art
The present invention relates to a kind of method for supervising that automatically can realize the integrated wind-solar electricity generating system of the balance of voltage.
Background technology
The generation of electricity by new energy being representative with wind energy, solar energy is subject to countries in the world extensive concern because of its advantage such as pollution-free, renewable, but the uncertainty of wind-powered electricity generation, photovoltaic generation and fluctuation cause certain influence to the stability of line voltage, fluctuations in wind speed can cause grid-connected point voltage to fluctuate, and the gain merit randomness of exerting oneself and the disagreeableness feature of electrical network of photovoltaic plant also makes line voltage unstable.
Using the micro-capacitance sensor of wind-powered electricity generation and photovoltaic generation as superhigh pressure, the supplementing of remote, bulk power grid powering mode, represent the developing direction that electric power system is new.The motive power of Wind turbines is wind energy, and wind energy makes the power sent of Wind turbines be interval due to the intermittence of wind and stochastic volatility and fluctuates, and the wind energy connecting system of these fluctuations can bring impact to electric power system.Meanwhile, because Wind turbines is asynchronous machine, if do not controlled, while sending active power, need to absorb certain reactive power, do not utilize the voltage stabilization of system.When wind-powered electricity generation permeability is lower, these impacts are not obvious, and along with the raising of wind-powered electricity generation permeability, the impact of wind energy on electric power system increases gradually, cause certain difficulty also to while bringing economic benefit to electric power system the operation of electrical network.
In the electric power system that wind-electricity integration proportion is larger, because Power Output for Wind Power Field has incomplete controllability and expection property, the inertia of the distribution of original electric power system tide, circuit transmission power and whole system can be changed to a certain extent, thus impact is created on meritorious, reactive power equilibrium, frequency and the voltage stabilization of electrical network.For integrated wind-solar electricity generating system reactive voltage problem, can adjust line voltage by controlling idle exerting oneself.At present, for the wind energy turbine set be made up of variable speed constant frequency Wind turbines, its reactive power/voltage control carries out dynamic reactive adjustment primarily of the wind turbine generator of wind energy turbine set; For photovoltaic generating system, the reactive power compensators such as SVC are installed usually on photovoltaic plant bus to compensate the reactive requirement of photovoltaic system, or utilize the idle fan-out capability of photovoltaic DC-to-AC converter itself to electrical network output reactive power to maintain partial electric grid voltage stabilization.
Energy storage technology solves fluctuation and the stochastic problems of generation of electricity by new energy to a great extent, effectively improves the predictability in intermittent micro-source, certainty and economy.In addition, energy storage technology is at frequency modulation and voltage modulation and improvement system is meritorious, reactive balance level, and the effect improving micro-capacitance sensor stable operation ability aspect also obtain extensively research and proof.In the electric power system that wind-powered electricity generation permeability is higher, when the electric power system frequency of occurrences and change in voltage, require that the real-time of wind accumulation to stability of power system and the quality of power supply is stronger, must according to the real-time status of electric power system, fully take into account the regulating power of wind-light storage cluster, the reliable and economical operation of guarantee electric power system.
Summary of the invention
The invention provides a kind of method for supervising that automatically can realize the integrated wind-solar electricity generating system of the balance of voltage, load variations in the generated output of the wind light generation equipment in the measurable electricity generation system of this method for supervising and micro-capacitance sensor, the grid-connected point voltage information of traceable bulk power grid, Real-time Obtaining bulk power grid dispatch command, the battery module battery capacity of real-time detection, can formulate and implement optimum control strategy, ensure that electricity generation system participates in bulk power grid voltage-regulation according to the demand of bulk power grid when grid-connected, ensure voltage stabilization when being incorporated into the power networks.
To achieve these goals, the invention provides a kind of method for supervising that automatically can realize the integrated wind-solar electricity generating system of the balance of voltage, this method for supervising comprises the steps:
S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, detect the SOC obtaining battery module in real time, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment and the SOC getting battery module, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle;
S2. gather grid-connected point voltage information, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle according in bulk power grid dispatch command and following predetermined instant simultaneously, form electricity generation system and gain merit and idle output demand;
S3. electricity generation system is gained merit and idle output demand, current batteries to store energy SOC, currently export meritorious and idle as constraints for electrical network internal burden power demand, following wind power plant and photovoltaic power generation equipment, realize the optimizing operation of electricity generation system.
Preferably, photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:
S11. the model of exerting oneself of photovoltaic module is set up: P pv(t)=η invη pv(t) G (t) S pv(1)
S in formula pvfor photovoltaic panel receives the area (m of solar irradiation radiation 2), G (t) light radiation numerical value (W/m 2), η pvt () is photovoltaic module energy conversion efficiency, η invfor inverter conversion efficiency;
Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:
η p v ( t ) = η r [ 1 - β ( T C ( t ) - T C r ) ] - - - ( 2 )
η in formula rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T ct () is the temperature value of t photovoltaic module, T crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:
T C ( t ) - T = T r a t 800 G ( t ) - - - ( 3 )
In formula, T is the ambient temperature of surrounding, T ratthe rated temperature that photovoltaic module runs;
S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;
S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.
Preferably, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.
Preferably, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:
In formula (4), R wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v wind speedfor the Wind turbines wind speed detected, v threshold wind speedfor the maximum wind velocity of threshold wind velocity section, v mid.infor the minimum windspeed of middle wind speed section.
Preferably, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself, initial speed, initial propeller pitch angle, and the state-of-charge of energy storage device; Wherein the frequency modulation spare capacity needs of wind energy turbine set is exerted oneself with the initial active power of each typhoon group of motors, initial speed, initial propeller pitch angle and energy storage device state-of-charge be relevant, and the pressure regulation spare capacity needs of wind energy turbine set is exerted oneself relevant with the initial reactive power of each typhoon group of motors.
Wind energy turbine set frequency modulation spare capacity needs is controlled jointly to provide with award setting by the hypervelocity of each typhoon group of motors.After how many wind energy turbine set frequency modulation spare capacity needs is born in the hypervelocity control and award setting of determining Wind turbines respectively, can obtain corresponding to the initial speed of this wind energy turbine set frequency modulation spare capacity needs and initial propeller pitch angle, and send initial active power by initial speed and initial award setting Wind turbines.When wind speed is in threshold wind velocity section, Wind turbines adopts MPPT maximum power point tracking to control, and ignores wind energy turbine set frequency modulation spare capacity needs; When low wind speed section, the wind energy turbine set frequency modulation non-firm power that power system dispatching requires Wind turbines to reserve all is controlled to provide by the hypervelocity of Wind turbines; In middle wind speed section, frequency modulation non-firm power is preferentially controlled to provide by the hypervelocity of Wind turbines, and insufficient section utilizes the award setting of Wind turbines to provide; In high wind speed section, Wind turbines adopts constant speed control, and frequency modulation non-firm power provides by the award setting of Wind turbines.
Preferably, in step s3, for the distribution of electricity generation system active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.
Preferably, in the distribution of step for electricity generation system reactive power, comprise the steps:
S31. grid-connected point voltage U is measured in real time pccmea, according to itself and voltage reference value U pccreferror signal Δ U pccdraw reactive power demand Q ref:
Q r e f = ( K p + K i s ) ΔU p c c , K p > 0 , K i > 0 - - - ( 5 )
In formula, K pand K ibe respectively proportionality coefficient and integral coefficient, s is controller parameter territory;
S32. according to the idle Power generation limits of wind energy turbine set, light storage, by reactive requirement Q refwind energy turbine set, photovoltaic plant and SVG equipment is distributed to according to priority assign method:
S321. as reactive requirement amount Q refbe less than the idle Power generation limits Q of wind energy turbine set windtime, carry out reactive power compensation by wind energy turbine set, and the idle Q that exerts oneself of wind energy turbine set wref=Q ref;
S322. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windand be less than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, stored up carry out reactive power compensation by wind energy turbine set and light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q ref-Q wind;
S323. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, to be stored up and SVG equipment carries out reactive power compensation jointly by wind energy turbine set, light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q pv, SVG equipment is idle exerts oneself Q sVG=Q ref-Q wind-Q pv.
Method for supervising tool of the present invention has the following advantages: the power output situation of change of (1) Accurate Prediction wind power plant and photovoltaic power generation equipment; (2) automatic tracing the change in voltage of site, determines and the reactive requirement of site in real time; (3) control strategy is taken into account and site reactive requirement and operation of electric power system situation, can simultaneously for bulk power grid provides active power, and pass through reactive power according to certain priority by distinct device in electricity generation system, while the dispatching requirement meeting bulk power grid and micro-capacitance sensor internal load demand, can effectively press down electricity generation system to the impact of the voltage that bulk power grid causes, take into account the fail safe of power supply reliability and guarantee electricity generation system, extend the useful life of equipment in electricity generation system.
Accompanying drawing explanation
Fig. 1 shows and of the present inventionly a kind ofly automatically can realize the integrated wind-solar electricity generating system of the balance of voltage and the block diagram of supervising device thereof;
Fig. 2 shows a kind of operation and method for supervising of electricity generation system of the present invention.
Embodiment
Fig. 1 shows a kind of integrated wind-solar electricity generating system 10 that automatically can realize the balance of voltage of the present invention, and this micro-capacitance sensor 10 comprises: wind power plant 14, photovoltaic power generation equipment 12, energy-storage system 13, SVG equipment 18, DC bus, the AC/DC two-way change of current module 1 for DC bus and bulk power grid 20 are connected and are isolated, the two-way change of current module 2 15 of AC/DC, micro-capacitance sensor internal burden 17 and the supervising device 11 that are used for connecting photovoltaic power generation equipment 12 and DC bus.
See Fig. 1, the two-way DC/DC converter 132 that this energy-storage system 13 comprises battery module 131, is connected with above-mentioned DC bus.
This supervising device 11 comprises: photovoltaic power generation equipment monitoring module 114, for the photovoltaic power generation equipment 12 in real-time monitoring battery energy-storage system 10, and predicts the generated output of photovoltaic power generation equipment 12; Energy-storage system monitoring module 115, for monitoring battery module 131 in energy-storage system 131 and DC/DC bidrectional transducer 132 in real time; Grid-connected pressure regulation monitoring module 112; Frequency modulation and voltage modulation module 116, participating in the frequency and voltage adjustment of bulk power grid 20, comprising FM module, voltage regulating module and Collaborative Control module for controlling micro-grid system 10; Middle control module 117, for determining the operation reserve of micro-capacitance sensor 10, and sends instruction to above-mentioned each module, to perform this power supply strategy; Wind power plant monitoring module 113, for monitoring wind power plant 14 in real time; Load monitoring module 118, for the load 17 in real-time micro-capacitance sensor 10; Bus module 111, for the liaison of the modules of this supervising device 11.
Communication module 111, for the communication between above-mentioned modules, described bus communication module 111 is connected with other modules by redundancy dual CAN bus.
Described grid-connected pressure regulation monitoring module 112 comprises: bulk power grid contact unit, regulates and controls center from bulk power grid 20 know the ruuning situation of bulk power grid 20 and relevant schedule information for real-time; AC/DC two-way change of current module one monitoring unit; For the mode of operation of the two-way change of current module one of control AC/DC, pressure regulation unit, for monitoring and the change in voltage of site, and determines the voltage compensation strategy of electricity generation system.
Described pressure regulation unit comprises grid-connected point voltage and measures subelement, reactive requirement determination subelement and idle output distribution subelement., described reactive requirement determination subelement determines current reactive requirement amount according to the error signal of magnitude of voltage and its voltage reference value that grid-connected point voltage measures subelement acquisition.The described idle idle Power generation limits of subelement according to wind power equipment and light-preserved system of exerting oneself, distributes to wind power plant, light-preserved system and SVG equipment by reactive requirement according to priority assign method.
Photovoltaic power generation equipment 12 comprises multiple photovoltaic generating module, and photovoltaic power generation equipment monitoring module 114 at least comprises voltage, electric current, frequency detection equipment, the light-intensity test equipment of photovoltaic power generation equipment.
The service data of described wind power plant monitoring module 113 Real-time Obtaining wind power plant 12, and store data.
Energy-storage system monitoring module 116 at least comprises accumulator voltage, electric current, SOC acquisition equipment and temperature testing equipment, can monitor the SOC of battery module in real time.
Described SOC obtains equipment and comprises: the first acquisition module, for obtaining the operating state of battery; First determination module, for determining the evaluation method of estimating battery state-of-charge according to the operating state of battery; Computing module, for being in the battery charge state value under different operating states according to evaluation method calculating battery.
First determination module comprises: first determines submodule, and for when the operating state got is inactive state, determine that evaluation method is the first evaluation method, wherein, the first evaluation method comprises open circuit voltage method; Second determines submodule, for when the operating state got is for returning to form, determines that evaluation method is the second evaluation method; 3rd determines submodule, and for when the operating state got is charging and discharging state, determine that evaluation method is the 3rd evaluation method, wherein, the 3rd evaluation method comprises Kalman filtering method.
Further, evaluation method is the 3rd evaluation method, and computing module comprises: set up module, for the battery model utilizing three rank equivalent electric circuits to set up battery; Second determination module, for determining the state equation of battery model and measuring equation; First calculating sub module, for using state equation and the battery charge state value measuring equation calculating battery.
Further, evaluation method is the second evaluation method, and computing module comprises: the second acquisition module, is entering the operating state before returning to form for obtaining battery; Second calculating sub module, at battery when entering the operating state before returning to form and being discharge condition, according to the first formulae discovery battery charge state value, wherein, the first formula is sOC tfor the battery charge state value under returning to form, SOC dfor battery charge state value when discharge condition stops, M is the accumulation electricity in battery discharge procedure, t be battery in the time returning to form lower experience, h is the default duration returned to form, and Q is the actual capacity of battery; 3rd calculating sub module, at battery when entering the operating state before returning to form and being charged state, according to the second formulae discovery battery charge state value, wherein, the second formula is SOC t=SOC c+ M × h × 100%, SOC cfor battery charge state value when charged state stops.
Further, evaluation method is the first evaluation method, and computing module comprises: the 3rd acquisition module, for obtaining the open circuit voltage of battery; Read module, for reading battery charge state value corresponding to open circuit voltage.
Preferably, battery module 131 adopts lithium battery as the base unit of power storage.
Preferably, described battery module 131, comprises n battery pack, described DC/DC reversible transducer 132 has n DC/DC current transformer, n is more than or equal to 3, and each battery pack is by the discharge and recharge of a DC/DC inverter controller, and this n DC/DC current transformer controls by energy-storage system monitoring module.
Middle control module 117 at least comprises CPU element, data storage cell and display unit.
Bulk power grid contact module 112 at least comprises Wireless Telecom Equipment.
Grid-connected point voltage measurement subelement at least comprises checkout equipment, data acquisition unit and data processing unit for detecting bulk power grid 20 and micro-capacitance sensor 10 voltage, electric current and frequency.Data acquisition unit comprises collection preliminary treatment and A/D modular converter, gathers eight tunnel telemetered signal amounts, comprises grid side A phase voltage, electric current, the three-phase voltage of energy-accumulating power station side, electric current.Remote measurement amount changes strong ac signal (5A/110V) into inner weak electric signal without distortion by the high-precision current in terminal and voltage transformer, after filtering process, enter A/D chip carry out analog-to-digital conversion, digital signal after conversion calculates through data processing unit, obtains three-phase voltage current value and the bulk power grid 20 side phase voltage current value of wind energy turbine set energy-storage system 10 side.The process of this telemetered signal amount have employed high-speed and high-density synchronized sampling, automatic frequency tracking technology also has the fft algorithm improved, so precision is fully guaranteed, the measurement and process that gain merit in wind energy turbine set energy-storage system 10 side, idle and electric energy is from first-harmonic to higher harmonic components can be completed.
See accompanying drawing 2, method of the present invention comprises the steps:
S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, detect the SOC obtaining battery module in real time, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment and the SOC getting battery module, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle;
S2. gather grid-connected point voltage information, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle according in bulk power grid dispatch command and following predetermined instant simultaneously, form electricity generation system and gain merit and idle output demand;
S3. electricity generation system is gained merit and idle output demand, current batteries to store energy SOC, currently export meritorious and idle as constraints for electrical network internal burden power demand, following wind power plant and photovoltaic power generation equipment, realize the optimizing operation of electricity generation system.
Preferably, photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:
S11. the model of exerting oneself of photovoltaic module is set up: P pv(t)=η invη pv(t) G (t) S pv(1)
S in formula pvfor photovoltaic panel receives the area (m of solar irradiation radiation 2), G (t) light radiation numerical value (W/m 2), η pvt () is photovoltaic module energy conversion efficiency, η invfor inverter conversion efficiency;
Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:
η p v ( t ) = η r [ 1 - β ( T C ( t ) - T C r ) ] - - - ( 2 )
η in formula rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T ct () is the temperature value of t photovoltaic module, T crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:
T C ( t ) - T = T r a t 800 G ( t ) - - - ( 3 )
In formula, T is the ambient temperature of surrounding, T ratthe rated temperature that photovoltaic module runs;
S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;
S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.
Preferably, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.
Preferably, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:
In formula (4), R wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v wind speedfor the Wind turbines wind speed detected, v threshold wind speedfor the maximum wind velocity of threshold wind velocity section, v mid.infor the minimum windspeed of middle wind speed section.
Preferably, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself, initial speed, initial propeller pitch angle, and the state-of-charge of energy storage device; Wherein the frequency modulation spare capacity needs of wind energy turbine set is exerted oneself with the initial active power of each typhoon group of motors, initial speed, initial propeller pitch angle and energy storage device state-of-charge be relevant, and the pressure regulation spare capacity needs of wind energy turbine set is exerted oneself relevant with the initial reactive power of each typhoon group of motors.
Wind energy turbine set frequency modulation spare capacity needs is controlled jointly to provide with award setting by the hypervelocity of each typhoon group of motors.After how many wind energy turbine set frequency modulation spare capacity needs is born in the hypervelocity control and award setting of determining Wind turbines respectively, can obtain corresponding to the initial speed of this wind energy turbine set frequency modulation spare capacity needs and initial propeller pitch angle, and send initial active power by initial speed and initial award setting Wind turbines.When wind speed is in threshold wind velocity section, Wind turbines adopts MPPT maximum power point tracking to control, and ignores wind energy turbine set frequency modulation spare capacity needs; When low wind speed section, the wind energy turbine set frequency modulation non-firm power that power system dispatching requires Wind turbines to reserve all is controlled to provide by the hypervelocity of Wind turbines; In middle wind speed section, frequency modulation non-firm power is preferentially controlled to provide by the hypervelocity of Wind turbines, and insufficient section utilizes the award setting of Wind turbines to provide; In high wind speed section, Wind turbines adopts constant speed control, and frequency modulation non-firm power provides by the award setting of Wind turbines.
Preferably, in step s3, for the distribution of electricity generation system active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.
Preferably, in the distribution of step for electricity generation system reactive power, comprise the steps:
S31. grid-connected point voltage U is measured in real time pccmea, according to itself and voltage reference value U pccreferror signal Δ U pccdraw reactive power demand Q ref:
Q r e f = ( K p + K i s ) ΔU p c c , K p > 0 , K i > 0 - - - ( 5 )
In formula, K pand K ibe respectively proportionality coefficient and integral coefficient, s is controller parameter territory;
S32. according to the idle Power generation limits of wind energy turbine set, light storage, by reactive requirement Q refwind energy turbine set, photovoltaic plant and SVG equipment is distributed to according to priority assign method:
S321. as reactive requirement amount Q refbe less than the idle Power generation limits Q of wind energy turbine set windtime, carry out reactive power compensation by wind energy turbine set, and the idle Q that exerts oneself of wind energy turbine set wref=Q ref;
S322. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windand be less than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, stored up carry out reactive power compensation by wind energy turbine set and light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q ref-Q wind;
S323. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, to be stored up and SVG equipment carries out reactive power compensation jointly by wind energy turbine set, light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q pv, SVG equipment is idle exerts oneself Q sVG=Q ref-Q wind-Q pv.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, make some equivalent to substitute or obvious modification, and performance or purposes identical, all should be considered as belonging to protection scope of the present invention.

Claims (6)

1. automatically can realize a method for supervising for the integrated wind-solar electricity generating system of the balance of voltage, this method for supervising comprises the steps:
S1. the service data of wind power plant and photovoltaic power generation equipment monitoring module Real-time Obtaining wind power plant and photovoltaic power generation equipment, and store data, detect the SOC obtaining battery module in real time, Real-time Obtaining micro-capacitance sensor internal burden power demand conditions; According to the service data of wind power plant, photovoltaic power generation equipment and the SOC getting battery module, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle;
S2. gather grid-connected point voltage information, predict the output of the wind power plant in following predetermined instant, light storage equipment is meritorious and idle according in bulk power grid dispatch command and following predetermined instant simultaneously, form electricity generation system and gain merit and idle output demand;
S3. electricity generation system is gained merit and idle output demand, current batteries to store energy SOC, currently export meritorious and idle as constraints for electrical network internal burden power demand, following wind power plant and photovoltaic power generation equipment, realize the optimizing operation of electricity generation system.
2. the method for claim 1, is characterized in that, described photovoltaic power generation equipment comprises photovoltaic module, in step sl described, predicts the power output of photovoltaic power generation equipment in the following way:
S11. the model of exerting oneself of photovoltaic module is set up: P pv(t)=η invη pv(t) G (t) S pv(1)
S in formula pvfor photovoltaic panel receives the area (m of solar irradiation radiation 2), G (t) light radiation numerical value (W/m 2), η pvt () is photovoltaic module energy conversion efficiency, η invfor inverter conversion efficiency;
Wherein, the energy conversion efficiency of photovoltaic module is relevant with the temperature of environment, and ambient temperature on the impact of photovoltaic module energy conversion efficiency is:
η p v ( t ) = η r [ 1 - β ( T C ( t ) - T C r ) ] - - - ( 2 )
η in formula rfor the reference energy conversion efficiency of testing under photovoltaic module normal temperature, β is the influence coefficient of temperature to energy conversion efficiency, T ct () is the temperature value of t photovoltaic module, T crfor photovoltaic module normative reference temperature value; Photovoltaic module absorbs solar radiation, and can work with ambient temperature one and cause photovoltaic module temperature to change, its expression formula is as follows:
T C ( t ) - T = T r a t 800 G ( t ) - - - ( 3 )
In formula, T is the ambient temperature of surrounding, T ratthe rated temperature that photovoltaic module runs;
S12. detect in real time and the information and ambient temperature at sunshine of periphery of collection photovoltaics assembly, according to history information at sunshine and ambient temperature, the intensity of sunshine in prediction a period of time in future and ambient temperature;
S13. according to the intensity of sunshine in following a period of time and ambient temperature, the model of exerting oneself of above-mentioned photovoltaic module is utilized to calculate the generated output of the photovoltaic power generation equipment in future time.
3. method as claimed in claim 2, it is characterized in that, also have the following steps after S1, according to wind speed and wind energy turbine set frequency modulation, pressure regulation spare capacity needs, utilize the hypervelocity of Wind turbines to control and award setting, determine the initial active power of each typhoon group of motors, reactive power is exerted oneself and initial speed, initial propeller pitch angle.
4. method as claimed in claim 3, it is characterized in that, the determination of the initial speed of each typhoon group of motors is relevant with wind speed, according to Wind turbines active power fan-out capability and the stand-by requirement of electric power system frequency modulation, wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed section 4 part.Wherein, threshold wind velocity section is for incision wind speed is to threshold wind speed, and threshold wind velocity section Wind turbines active power fan-out capability is less, and it is little that rotation speed change exports impact to Wind turbines active power; The wind speed of the low wind speed section upper limit for utilizing hypervelocity to control to provide the stand-by requirement of whole electric power system frequency modulation; When high wind speed section lower limit is for employing MPPT maximum power point tracking, Wind turbines rotating speed reaches wind speed during maximum (top) speed; Corresponding different wind speed, the initial speed of Wind turbines is different, and initial speed ω and wind speed relation meet:
In formula (4), R wfor Wind turbines radius, λ is the tip speed ratio that Wind turbines obtains when controlling according to MPPT maximum power point tracking, λ ' for Wind turbines according to the active power of reserved d% as the tip speed ratio obtained during frequency modulation spare capacity needs, v wind speedfor the Wind turbines wind speed detected, v threshold wind speedfor the maximum wind velocity of threshold wind velocity section, v mid.infor the minimum windspeed of middle wind speed section.
5. method as claimed in claim 4, it is characterized in that, in step s3, for the distribution of electricity generation system active power, preferentially utilize the active reserve capacity of Wind turbines and photovoltaic power generation equipment self, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment self is not enough, recycling energy-storage system makes up the deficiency that active power is exerted oneself.
6. method as claimed in claim 5, is characterized in that, in the distribution of step for electricity generation system reactive power, comprise the steps:
S31. grid-connected point voltage U is measured in real time pccmea, according to itself and voltage reference value U pccreferror signal Δ U pccdraw reactive power demand Q ref:
Q r e f = ( K p + K i s ) ΔU p c c , K p > 0 , K i > 0 - - - ( 5 )
In formula, K pand K ibe respectively proportionality coefficient and integral coefficient, s is controller parameter territory;
S32. according to the idle Power generation limits of wind energy turbine set, light storage, by reactive requirement Q refwind energy turbine set, photovoltaic plant and SVG equipment is distributed to according to priority assign method:
S321. as reactive requirement amount Q refbe less than the idle Power generation limits Q of wind energy turbine set windtime, carry out reactive power compensation by wind energy turbine set, and the idle Q that exerts oneself of wind energy turbine set wref=Q ref;
S322. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windand be less than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, stored up carry out reactive power compensation by wind energy turbine set and light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q ref-Q wind;
S323. as reactive requirement amount Q refbe greater than the idle Power generation limits Q of wind energy turbine set windidle Power generation limits Q is stored up with light pvduring sum, to be stored up and SVG equipment carries out reactive power compensation jointly by wind energy turbine set, light, wind energy turbine set is idle exerts oneself Q wref=Q wind, the idle Q that exerts oneself of light storage pvref=Q pv, SVG equipment is idle exerts oneself Q sVG=Q ref-Q wind-Q pv.
CN201510698179.7A 2015-10-22 2015-10-22 Monitoring method for wind-light integrated power generation system capable of automatically realizing voltage balance Pending CN105356514A (en)

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CN106571644A (en) * 2016-11-04 2017-04-19 国网新疆电力公司经济技术研究院 Simulation method for improving photovoltaic permeability by adjusting parameters of steam turbine
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CN110518613A (en) * 2019-09-25 2019-11-29 福州大学 State-of-charge balance and the decentralized control method without the distribution of work of battery energy storage system
CN110518613B (en) * 2019-09-25 2022-10-28 福州大学 Decentralized control method for state of charge balance and reactive power distribution of battery energy storage system
CN111682552A (en) * 2020-06-10 2020-09-18 清华大学 Voltage control method, device, equipment and storage medium
CN114050581A (en) * 2021-11-15 2022-02-15 许继集团有限公司 Multi-reactive-power-source hierarchical dynamic coordination control method and device for power station
CN114204601A (en) * 2021-12-15 2022-03-18 山东大学 Synchronous grid-connected wind-light-storage hybrid power generation system and working method thereof
CN114204601B (en) * 2021-12-15 2023-06-02 山东大学 Wind-light-storage hybrid power generation system with synchronous grid connection and working method thereof
CN114336663A (en) * 2022-01-07 2022-04-12 华北电力科学研究院有限责任公司 Novel power system source network collaborative planning method and device
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