CN104734195B - Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner - Google Patents

Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner Download PDF

Info

Publication number
CN104734195B
CN104734195B CN201510172197.1A CN201510172197A CN104734195B CN 104734195 B CN104734195 B CN 104734195B CN 201510172197 A CN201510172197 A CN 201510172197A CN 104734195 B CN104734195 B CN 104734195B
Authority
CN
China
Prior art keywords
energy
storage system
wind
power
discharge
Prior art date
Application number
CN201510172197.1A
Other languages
Chinese (zh)
Other versions
CN104734195A (en
Inventor
李毅斌
盛鸿宇
王水钟
童卫军
Original Assignee
杭州瑞亚教育科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 杭州瑞亚教育科技有限公司 filed Critical 杭州瑞亚教育科技有限公司
Priority to CN201510172197.1A priority Critical patent/CN104734195B/en
Publication of CN104734195A publication Critical patent/CN104734195A/en
Application granted granted Critical
Publication of CN104734195B publication Critical patent/CN104734195B/en

Links

Classifications

    • 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
    • H02J3/381Dispersed generators
    • H02J3/382Dispersed generators the generators exploiting renewable energy
    • H02J3/383Solar energy, e.g. photovoltaic energy
    • H02J3/385Maximum power point tracking control for photovoltaic sources
    • 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
    • H02J3/48Controlling the sharing of the in-phase component
    • 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
    • H02J3/16Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements 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
    • 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
    • H02J3/381Dispersed generators
    • H02J3/382Dispersed generators the generators exploiting renewable energy
    • H02J3/383Solar energy, e.g. photovoltaic energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • H02J3/382Dispersed generators the generators exploiting renewable energy
    • H02J3/386Wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements 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
    • H02J3/50Controlling the sharing of the out-of-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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 electric or electronic aspects
    • Y02E10/563Power conversion electric or electronic aspects for grid-connected applications
    • 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 electric or electronic aspects
    • Y02E10/566Power conversion electric or electronic aspects concerning power management inside the plant, e.g. battery charging/discharging, economical operation, hybridisation with other energy sources
    • 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
    • Y02E10/763Power conversion electric or electronic aspects for grid-connected applications
    • 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
    • Y02E10/766Power conversion electric or electronic aspects concerning power management inside the plant, e.g. battery charging/discharging, economical operation, hybridisation with other energy sources
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation
    • Y02E40/34Reactive power compensation for voltage regulation
    • 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

Abstract

A monitoring method of a wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner has the advantages that the monitoring method can predict the power generation power of wind-photovoltaic power generation equipment in a micro-grid and the load change in the micro-grid, track grid connection point voltage information of large power grids, acquire large power grid scheduling instructions in real time, detect storage battery module battery capacity in real time, set energy accumulation system discharge intervals, perform optimized management on the energy of an energy accumulation system on the basis of an SOC hierarchical control strategy, correct the charging and discharging power of the energy accumulation system in real time, optimize the working performance of the energy accumulation system, make and implement most appropriate control strategies, guarantee that the micro-grid participates in large power grid voltage adjusting according to the requirements of the large power grids during grid connection, and guarantee voltage stability during grid-connected operation.

Description

A kind of monitoring method of the wind-light storage one micro-capacitance sensor being incorporated into the power networks

Art

The present invention relates to a kind of monitoring method of the wind-light storage one micro-capacitance sensor being incorporated into the power networks.

Background technology

The energy and environmental crisis have become the major issue for affecting Human Sustainable Development, cleaning, the profit of regenerative resource With the fundamental way for being this problem of solution.With the renewable energy power generation technology such as wind-power electricity generation, photovoltaic generation, wave-activated power generation Maturation, increasing regenerative resource micro-capacitance sensor in a distributed manner form access electrical network, meet the daily production of people, life use The demand of electricity.

Micro-capacitance sensor using wind-powered electricity generation and photovoltaic generation based on is used as supertension, the supplement of remote, bulk power grid powering mode, generation Table the new developing direction of power system.The motive power of Wind turbines is wind energy, and wind energy is due to the intermittent and random fluctuation of wind Property the power for sending of Wind turbines is interval and is fluctuated, the wind energy access system of these undulatory propertys can give power system Bring impact.Simultaneously as Wind turbines are asynchronous machine, if not being controlled by, while active power is sent, need to absorb Certain reactive power, does not utilize the voltage stabilization of system.When wind-powered electricity generation permeability is relatively low, these impacts are obvious, with wind The raising of electro-osmosis rate, impact of the wind energy to power system gradually increase, while economic benefit is brought to power system Certain difficulty is caused to the operation of electrical network.

In the larger power system of the grid-connected proportion of wind light generation, as wind energy turbine set and photovoltaic DC field output have not Complete controllability and expected property, can change original electric power system tide distribution, circuit conveying power and whole to a certain extent The inertia of system, so as to generate impact to the active of electrical network, reactive power equilibrium, frequency and voltage stabilization.Energy storage technology is very The undulatory property and stochastic problems of generation of electricity by new energy are solved in big degree, the predictability in intermittent micro- source is effectively improved, is determined Property and economy.Additionally, energy storage technology is in frequency modulation and voltage modulation and improves that system is active, reactive balance level, micro-capacitance sensor is improved stable Effect in terms of service ability also obtain widely studied and prove.In the higher power system of wind light generation permeability, electricity When the Force system frequency of occurrences and change in voltage, it is desirable to honourable accumulation to the real-time of stability of power system and the quality of power supply compared with By force, it is necessary to according to the real-time status of power system, fully take into account the regulating power of honourable accumulation, just can guarantee that power system Reliability and economical operation.

The content of the invention

The present invention provides a kind of monitoring method of the wind-light storage one micro-capacitance sensor being incorporated into the power networks, and the monitoring method being somebody's turn to do can be pre- Load change in the generated output and micro-capacitance sensor of the wind light generation equipment in micrometer electrical network, the grid-connected point voltage of traceable bulk power grid Information, obtains bulk power grid dispatch command, the battery module battery capacity of real-time detection, setting energy storage system discharges area in real time Between, based on SOC muti-layer control tactics, management is optimized to energy-storage system energy, in real time amendment energy-storage system charge-discharge electric power, Optimization energy-storage system service behaviour, formulates and implements optimum control strategy, ensures micro-capacitance sensor when grid-connected according to bulk power grid Demand participate in bulk power grid voltage-regulation, voltage stabilization of guarantee when being incorporated into the power networks.

To achieve these goals, the present invention provides a kind of monitoring side of the wind-light storage one micro-capacitance sensor being incorporated into the power networks Method, method comprise the steps:

S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant in real time and photovoltaic generation sets Standby service data, and data storage, obtain load power demand situation in micro-capacitance sensor in real time;According to wind power plant, light Volt generating equipment service data, the output to the wind power plant in following predetermined instant, photovoltaic power generation equipment it is active and It is idle to be predicted;

S2. grid entry point information of voltage is gathered, 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, and setting energy storage system discharges are interval, build SOC hierarchical control plans Slightly;

S4. work(will be loaded in micro-capacitance sensor active and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor Rate demand, wind power plant and photovoltaic power generation equipment are exportable active and idle as constraints, realize the excellent of micro-capacitance sensor Change operation.

Preferably, in step s3, following concrete steps are specifically included:

S31. energy storage system discharges are set interval

The energy storage system discharges interval determiner after wind power is received is not broken through electrical network and can utilize spatial margins value Period, set energy-storage system discharge range α, 0≤α<It is remaining after 100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation Space ratio be α;If system can be using α=1 during space, α=0 if energy-storage system does not discharge without residue;Based on discharge range α Energy-storage system charge-discharge electric power it is as follows:

Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、Respectively t wind energy turbine set and Optical electric field group's real output sum and wind-powered electricity generation and photoelectricity can run domain extreme value;Discharge ranges of the α for energy-storage system;

Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestIt is as follows It is shown:

Wherein t1, t2Respectively discharge and recharge starting 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 built

Energy-storage system SOC is divided into following five levels according to charging and discharging capabilities by the SOC multi-layer controllers:Do not charge Emergency stratum, less charging preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;

Energy-storage system charge-discharge energy requirements PESS, the adjusted coefficient K that Jing energy storage EMS determinesSOCEnter action State is adjusted, and is obtained the actual discharge and recharge of energy-storage system and is instructed PSOC_ESS;KSOCValue is similar with Sigmoid function characteristics, hence with Sigmoid function pairs its be modified, embody 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 KSOCAmendment determines the actual charge-discharge electric power P of energy-storage systemSOC_ESST () is:

PSOC_ESS(t)=KSOCPESS(t) (9)

State-of-charges of the wherein S for energy-storage system;SmaxFor the lower limit of 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 discharge and recharge 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, predict that photovoltaic is sent out in the following way The output of electric equipment:

S11. set up the model of exerting oneself of photovoltaic module:Ppv(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 T () is photovoltaic module energy conversion efficiency, ηinvFor inverter conversion efficiency;

Wherein, the energy conversion efficiency of photovoltaic module and the temperature of environment are relevant, and ambient temperature turns to photovoltaic module energy The impact for changing efficiency is:

η in formularFor the reference energy conversion efficiency tested under photovoltaic module standard temperature, β is that temperature is imitated to energy conversion The impact coefficient of rate, TCThe temperature value of (t) for t photovoltaic module, TCrFor photovoltaic module reference standard temperature value;Photovoltaic module Solar radiation is absorbed, can be worked with ambient temperature one and be caused photovoltaic module temperature to change, its expression formula is as follows:

In formula, T is the ambient temperature of surrounding, TratThe rated temperature of photovoltaic module operation;

S12. the sunshine information and ambient temperature of the periphery of real-time detection and collection photovoltaics component, according to history sunshine information And ambient temperature, the intensity of sunshine and ambient temperature in prediction following a period of time;

S13. according to the intensity of sunshine and ambient temperature in following a period of time, using the model of exerting oneself of above-mentioned photovoltaic module 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 Wind turbines hypervelocity control and award setting, determine the initial active power of each typhoon group of motors, reactive power exert 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, defeated according to Wind turbines active power Wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed by output capacity and power system frequency modulation stand-by requirement 4 parts of section.Wherein, threshold wind velocity section is incision wind speed to threshold wind speed, threshold wind velocity section Wind turbines active power output energy Power is less, and rotation speed change affects little to the output of Wind turbines active power;The low wind speed section upper limit is can be carried using hypervelocity control For the wind speed of whole power system frequency modulation stand-by requirements;High wind speed section lower limit is the Wind turbines using during MPPT maximum power point tracking Rotating speed reaches wind speed during maximum (top) speed;Correspondence difference wind speed, the initial speed difference of Wind turbines, initial speed ω and wind speed Relation 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 the tip speed ratio that obtains, vWind speedFor the Wind turbines wind speed for detecting, 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 energy turbine set frequency modulation, pressure regulation spare capacity needs, using Wind turbines hypervelocity control with Award setting, determine the initial active power of each typhoon group of motors, reactive power exert oneself, initial speed, initial propeller pitch angle, with And the state-of-charge of energy storage device;The wherein initial active power of the frequency modulation spare capacity needs of wind energy turbine set and each typhoon group of motors Exert oneself, initial speed, initial propeller pitch angle and energy storage device state-of-charge it is relevant, the pressure regulation spare capacity needs of wind energy turbine set with it is each The initial reactive power of typhoon group of motors is exerted oneself relevant.

Preferably, in step s 4, for the distribution of micro-capacitance sensor active power, Wind turbines and photovoltaic generation are preferentially utilized The active reserve capacity of equipment itself, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment itself is not enough, then profit The deficiency that active power is exerted oneself is made up with energy-storage system.

The monitoring method of the present invention has the advantage that:(1) Accurate Prediction wind power plant and photovoltaic power generation equipment Output situation of change;(2) change in voltage of automatic tracing grid entry point, determines the reactive requirement of grid entry point in real time;(3) control Strategy takes into account grid entry point reactive requirement and micro-capacitance sensor ruuning situation, can provide active power for bulk power grid simultaneously, and according to certain Priority meets the dispatching requirement and micro-capacitance sensor internal load demand of bulk power grid by distinct device in micro-capacitance sensor by reactive power While, can effectively press down the impact of the voltage that micro-capacitance sensor is caused to bulk power grid;(4) energy storage system discharges are set interval, based on SOC Muti-layer control tactics, are optimized management to energy-storage system energy, in real time amendment energy-storage system charge-discharge electric power, optimization energy storage system System service behaviour, 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.

Description of the drawings

Fig. 1 shows a kind of block diagram of wind-light storage one micro-capacitance sensor being incorporated into the power networks and its supervising device of the present invention;

Fig. 2 shows a kind of operation of micro-capacitance sensor of the present invention and monitoring method.

Specific embodiment

Fig. 1 shows a kind of wind-light storage one micro-capacitance sensor 10 being incorporated into the power networks of the present invention, and the micro-capacitance sensor 10 includes: Wind power plant 14, photovoltaic power generation equipment 12, energy-storage system 13, SVG equipment 18, dc bus, for by dc bus with Bulk power grid 20 connect and isolate the two-way change of current modules 1 of AC/DC, for connecting photovoltaic power generation equipment 12 and dc bus Load 17 and supervising device 11 in the two-way change of current modules 2 15, micro-capacitance sensor of AC/DC.

Referring to Fig. 1, the energy-storage system 13 include battery module 131, and the two-way DC/DC of above-mentioned dc bus connection become Parallel operation 132.

The supervising device 11 includes:Photovoltaic power generation equipment monitoring module 114, in monitor in real time battery energy storage system 10 Photovoltaic power generation equipment 12, and the generated output to photovoltaic power generation equipment 12 is predicted;Energy-storage system monitoring module 115, uses Battery module 131 and DC/DC bidrectional transducers 132 in monitor in real time energy-storage system 131;Grid-connected pressure regulation monitoring module 112;Frequency modulation and voltage modulation module 116, participates in the frequency and Voltage Cortrol 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 sends instruction, to perform the power supply strategy;Wind power plant monitoring module 113, for monitor in real time wind power plant 14;Load monitoring module 118, for the load 17 in real-time micro-capacitance sensor 10;Bus module 111, for the supervising 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 is connected with other modules.

The grid-connected pressure regulation monitoring module 112 includes:Bulk power grid gets in touch with unit, for regulating and controlling center from bulk power grid 20 in real time Know the ruuning situation and related schedule information of bulk power grid 20;Two-way one monitoring units of change of current module of AC/DC;For controlling The mode of operation of the two-way change of current modules of AC/DC one, pressure regulation unit for monitoring the change in voltage of grid entry point, and determine micro-capacitance sensor Voltage compensation strategy.

The pressure regulation unit includes grid entry point voltage measurement subelement, reactive requirement determination subelement and idle output distribution Subelement., magnitude of voltage and its voltage ginseng that the reactive requirement determination subelement is obtained according to grid entry point voltage measurement subelement The error signal for examining value determines current idle demand.The idle subelement of exerting oneself is according to wind power equipment and the nothing of light-preserved system Reactive requirement is distributed to wind power plant, light-preserved system and SVG equipment according to priority distribution method by work(Power generation limits.

Photovoltaic power generation equipment 12 includes multiple photovoltaic generating modules, and photovoltaic power generation equipment monitoring module 114 at least includes light The voltage of volt generating equipment, electric current, frequency detection equipment, light-intensity test equipment.

The wind power plant monitoring module 113 obtains the service data of wind power plant 12 in real time, and stores number According to.

Energy-storage system monitoring module 116 at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature detection Equipment, can monitor in real time battery module SOC.

Preferably, energy storage system discharges interval determiner after wind power is received is not broken through electrical network and can utilize space The period of ultimate value, set the discharge range α, 0≤α of energy-storage system<100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation Remaining space ratio is α afterwards;If system can be using α=1 during space, α=0 if energy-storage system does not discharge without residue;Based on putting The energy-storage system charge-discharge electric power of electricity interval α is as follows:

Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、Respectively t wind energy turbine set and Optical electric field group's real output sum and wind-powered electricity generation and photoelectricity can run domain extreme value;Discharge ranges of the α for energy-storage system;

Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestIt is as follows It is shown:

Wherein t1, t2Respectively discharge and recharge starting 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 controllers: Do not charge emergency stratum, less charging preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum.

Preferably, energy-storage system charge-discharge energy requirements PESS, the correction factor that Jing energy storage EMS determines KSOCEnter Mobile state adjustment, obtain the actual discharge and recharge of energy-storage system and instruct PSOC_ESS;KSOCValue is similar with Sigmoid function characteristics, Hence with Sigmoid function pairs, which is modified, and 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 KSOCAmendment determines the actual charge-discharge electric power P of energy-storage systemSOC_ESST () is:

PSOC_ESS(t)=KSOCPESS(t) (9)

State-of-charges of the wherein S for energy-storage system;SmaxFor the lower limit of 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 discharge and recharge 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 at least includes CPU element, data storage cell and display unit.

Bulk power grid contact module 112 at least includes Wireless Telecom Equipment.

Grid entry point voltage measurement subelement is at least included for detecting 10 voltage of bulk power grid 20 and micro-capacitance sensor, electric current and frequency Testing equipment, data acquisition unit and data processing unit.Data acquisition unit includes collection pretreatment and A/D moduluss of conversion Block, gathers eight tunnel telemetered signal amounts, comprising grid side A phase voltage, electric current, the three-phase voltage of energy-accumulating power station side, electric current.Remote measurement amount Strong ac signal (5A/110V) is changed into inside by high-precision current and voltage transformer without distortion that can pass through in terminal Weak electric signal, carries out analog digital conversion into A/D chips after filtered process, it is converted after digital signal Jing data processing units Calculate, obtain the 20 side phase voltage current value of three-phase voltage current value and bulk power grid of 10 side of wind energy turbine set energy-storage system.This remote measurement is believed Number amount processes and employs high-speed and high-density synchronized sampling, automatic frequency tracking technology and also have improved fft algorithm, so precision is obtained To fully ensuring that, the survey that 10 side of wind energy turbine set energy-storage system is active, idle and electric energy is from fundamental wave to higher harmonic components can be completed Amount and process.

Referring to accompanying drawing 2, the method for the present invention comprises the steps:

S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant in real time and photovoltaic generation sets Standby service data, and data storage, obtain load power demand situation in micro-capacitance sensor in real time;According to wind power plant, light Volt generating equipment service data, the output to the wind power plant in following predetermined instant, photovoltaic power generation equipment it is active and It is idle to be predicted;

S2. grid entry point information of voltage is gathered, 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, and setting energy storage system discharges are interval, build SOC hierarchical control plans Slightly;

S4. work(will be loaded in micro-capacitance sensor active and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor Rate demand, wind power plant and photovoltaic power generation equipment are exportable active and idle as constraints, realize the excellent of micro-capacitance sensor Change operation.

Preferably, in step s3, following concrete steps are specifically included:

S31. energy storage system discharges are set interval

The energy storage system discharges interval determiner after wind power is received is not broken through electrical network and can utilize spatial margins value Period, set energy-storage system discharge range α, 0≤α<It is remaining after 100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation Space ratio be α;If system can be using α=1 during space, α=0 if energy-storage system does not discharge without residue;Based on discharge range α Energy-storage system charge-discharge electric power it is as follows:

Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、Respectively t wind energy turbine set and light Electric field group's real output sum and wind-powered electricity generation and photoelectricity can run domain extreme value;Discharge ranges of the α for energy-storage system;

Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestIt is as follows It is shown:

Wherein t1, t2Respectively discharge and recharge starting 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 built

Energy-storage system SOC is divided into following five levels according to charging and discharging capabilities by the SOC multi-layer controllers:Do not charge Emergency stratum, less charging preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;

Energy-storage system charge-discharge energy requirements PESS, the adjusted coefficient K that Jing energy storage EMS determinesSOCEnter action State is adjusted, and is obtained the actual discharge and recharge of energy-storage system and is instructed PSOC_ESS;KSOCValue is similar with Sigmoid function characteristics, hence with Sigmoid function pairs its be modified, embody 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 KSOCAmendment determines the actual charge-discharge electric power P of energy-storage systemSOC_ESST () is:

PSOC_ESS(t)=KSOCPESS(t) (9)

State-of-charges of the wherein S for energy-storage system;SmaxFor the lower limit of 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 discharge and recharge 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, predict that photovoltaic is sent out in the following way The output of electric equipment:

S11. set up the model of exerting oneself of photovoltaic module:Ppv(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 T () is photovoltaic module energy conversion efficiency, ηinvFor inverter conversion efficiency;

Wherein, the energy conversion efficiency of photovoltaic module and the temperature of environment are relevant, and ambient temperature turns to photovoltaic module energy The impact for changing efficiency is:

η in formularFor the reference energy conversion efficiency tested under photovoltaic module standard temperature, β is that temperature is imitated to energy conversion The impact coefficient of rate, TCThe temperature value of (t) for t photovoltaic module, TCrFor photovoltaic module reference standard temperature value;Photovoltaic module Solar radiation is absorbed, can be worked with ambient temperature one and be caused photovoltaic module temperature to change, its expression formula is as follows:

In formula, T is the ambient temperature of surrounding, TratThe rated temperature of photovoltaic module operation;

S12. the sunshine information and ambient temperature of the periphery of real-time detection and collection photovoltaics component, according to history sunshine information And ambient temperature, the intensity of sunshine and ambient temperature in prediction following a period of time;

S13. according to the intensity of sunshine and ambient temperature in following a period of time, using the model of exerting oneself of above-mentioned photovoltaic module 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 Wind turbines hypervelocity control and award setting, determine the initial active power of each typhoon group of motors, reactive power exert 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, defeated according to Wind turbines active power Wind speed is divided into threshold wind velocity section, low wind speed section, middle wind speed section and high wind speed by output capacity and power system frequency modulation stand-by requirement 4 parts of section.Wherein, threshold wind velocity section is incision wind speed to threshold wind speed, threshold wind velocity section Wind turbines active power output energy Power is less, and rotation speed change affects little to the output of Wind turbines active power;The low wind speed section upper limit is can be carried using hypervelocity control For the wind speed of whole power system frequency modulation stand-by requirements;High wind speed section lower limit is the Wind turbines using during MPPT maximum power point tracking Rotating speed reaches wind speed during maximum (top) speed;Correspondence difference wind speed, the initial speed difference of Wind turbines, initial speed ω and wind speed Relation 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 the tip speed ratio that obtains, vWind speedFor the Wind turbines wind speed for detecting, 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 energy turbine set frequency modulation, pressure regulation spare capacity needs, using Wind turbines hypervelocity control with Award setting, determine the initial active power of each typhoon group of motors, reactive power exert oneself, initial speed, initial propeller pitch angle, with And the state-of-charge of energy storage device;The wherein initial active power of the frequency modulation spare capacity needs of wind energy turbine set and each typhoon group of motors Exert oneself, initial speed, initial propeller pitch angle and energy storage device state-of-charge it is relevant, the pressure regulation spare capacity needs of wind energy turbine set with it is each The initial reactive power of typhoon group of motors is exerted oneself relevant.

Wind energy turbine set frequency modulation spare capacity needs are provided with award setting jointly by the hypervelocity control of each typhoon group of motors. After the hypervelocity control and award setting for determining Wind turbines undertakes how many wind energy turbine set frequency modulation spare capacity needs respectively, it is obtained Corresponding to the initial speed and initial propeller pitch angle of the wind energy turbine set frequency modulation spare capacity needs, and by initial speed and initial propeller pitch angle Control Wind turbines send initial active power.When wind speed be in threshold wind velocity section when, Wind turbines using maximum power point with Track is controlled, and ignores wind energy turbine set frequency modulation spare capacity needs;In low wind speed section, electric power system dispatching requires what Wind turbines were reserved Wind energy turbine set frequency modulation non-firm power is all provided by the hypervelocity control of Wind turbines;In middle wind speed section, frequency modulation non-firm power preferentially by The hypervelocity control of Wind turbines is provided, and insufficient section is provided using the award setting of Wind turbines;In high wind speed section, wind turbine Group adopts constant speed control, frequency modulation non-firm power to be 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 generation are preferentially utilized The active reserve capacity of equipment itself, when the active reserve capacity of Wind turbines and photovoltaic power generation equipment itself is not enough, then profit The deficiency that active power is exerted oneself is made up with energy-storage system.

Above content is with reference to specific preferred implementation further description made for the present invention, it is impossible to assert The present invention be embodied as be confined to these explanations.For general technical staff of the technical field of the invention, On the premise of without departing from present inventive concept, some equivalent substitutes or obvious modification are made, and performance or purposes are identical, all should It is considered as belonging to protection scope of the present invention.

Claims (12)

1. a kind of monitoring method of the wind-light storage one micro-capacitance sensor being incorporated into the power networks, method comprise the steps:
S1. wind power plant and photovoltaic power generation equipment monitoring module obtain wind power plant and photovoltaic power generation equipment in real time Service data, and data storage, obtain load power demand situation in micro-capacitance sensor in real time;Sent out according to wind power plant, photovoltaic The service data of electric equipment, the output to the wind power plant in following predetermined instant, photovoltaic power generation equipment are active and idle It is predicted;
S2. grid entry point information of voltage is gathered, 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, and setting energy storage system discharges are interval, build SOC muti-layer control tactics;
S4. bearing power in micro-capacitance sensor active and idle output demand, current SOC muti-layer control tactics, current micro-capacitance sensor is needed Ask, wind power plant and photovoltaic power generation equipment it is exportable active and idle as constraints, realize the optimization fortune of micro-capacitance sensor OK;
In step s3, following concrete steps are specifically included:
S31. energy storage system discharges are set interval
Energy storage system discharges interval determiner do not break through after wind power is received electrical network can utilize spatial margins value when Section, sets the discharge range α, 0≤α of energy-storage system<Remaining sky after 100%, i.e. energy storage system discharges power and receiving wind-powered electricity generation Between ratio be α;If system can be using α=1 during space, α=0 if energy-storage system does not discharge without residue;Storage based on discharge range α Energy system charge-discharge electric power is as follows:
Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、Respectively t wind energy turbine set and photoelectricity Field group's real output sum and wind-powered electricity generation and photoelectricity can run domain extreme value;Discharge ranges of the α for energy-storage system;
Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestFollowing institute Show:
Wherein t1, t2Respectively discharge and recharge starting and finish time;ηcharge, ηdischargeThe respectively discharge and recharge 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 built
Energy-storage system SOC is divided into following five levels according to charging and discharging capabilities by SOC multi-layer controllers:Do not charge emergency stratum, few Charging preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum;
Energy-storage system charge-discharge electric power PESS, the adjusted coefficient K that Jing energy storage EMS determinesSOCEnter Mobile state adjustment, obtain P is instructed to the actual discharge and recharge of energy-storage systemSOC_ESS;KSOCValue is similar with Sigmoid function characteristics, hence with Sigmoid functions Which is modified, 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 under discharge condition, PESS(t)<0
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCAmendment determines the actual charge-discharge electric power P of energy-storage systemSOC_ESST () is:
PSOC_ESS(t)=KSOCPESS(t) (9)
State-of-charges of the wherein S for energy-storage system;SmaxFor the lower limit of the emergency stratum that do not charge;Smax、Spre_maxFor few charging preventive stratum Bound;Spre_max、Spre_minFor the bound of normal discharge and recharge 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.
2. the method for claim 1, it is characterised in that in step s3, photovoltaic power generation equipment includes photovoltaic module, institute State in step sl, predict the output of photovoltaic power generation equipment in the following way:
S11. set up the model of exerting oneself of photovoltaic module:Ppv(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), ηpvT () is Photovoltaic module energy conversion efficiency, ηinvFor inverter conversion efficiency;
Wherein, the energy conversion efficiency of photovoltaic module and the temperature of environment are relevant, and ambient temperature is imitated to the conversion of photovoltaic module energy The impact of rate is:
η in formularFor the reference energy conversion efficiency tested under photovoltaic module standard temperature, β is temperature to energy conversion efficiency Affect coefficient, TCThe temperature value of (t) for t photovoltaic module, TCrFor photovoltaic module reference standard temperature value;Photovoltaic module absorbs Solar radiation, can be worked with ambient temperature one and cause photovoltaic module temperature to change, and its expression formula is as follows:
In formula, T is the ambient temperature of surrounding, TratThe rated temperature of photovoltaic module operation;
S12. the sunshine information and ambient temperature of the periphery of real-time detection and collection photovoltaics component, according to history sunshine information and ring Border temperature, the intensity of sunshine and ambient temperature in prediction following a period of time;
S13. according to the intensity of sunshine and ambient temperature in following a period of time, using the model calculating of exerting oneself of above-mentioned photovoltaic module The generated output of the photovoltaic power generation equipment in future time.
3. method as claimed in claim 2, it is characterised in that in step s3, also have the following steps after S1, according to wind speed With wind energy turbine set frequency modulation, pressure regulation spare capacity needs, using hypervelocity control and the award setting of Wind turbines, each typhoon electricity is determined The initial active power of unit, reactive power are exerted oneself and initial speed, initial propeller pitch angle.
CN201510172197.1A 2015-04-13 2015-04-13 Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner CN104734195B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510172197.1A CN104734195B (en) 2015-04-13 2015-04-13 Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201710371948.1A CN107134815B (en) 2015-04-13 2015-04-13 A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks
CN201710371934.XA CN106972542B (en) 2015-04-13 2015-04-13 A kind of monitoring method for the wind-light storage one micro-capacitance sensor being incorporated into the power networks
CN201510172197.1A CN104734195B (en) 2015-04-13 2015-04-13 Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner

Related Child Applications (2)

Application Number Title Priority Date Filing Date
CN201710371948.1A Division CN107134815B (en) 2015-04-13 2015-04-13 A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks
CN201710371934.XA Division CN106972542B (en) 2015-04-13 2015-04-13 A kind of monitoring method for the wind-light storage one micro-capacitance sensor being incorporated into the power networks

Publications (2)

Publication Number Publication Date
CN104734195A CN104734195A (en) 2015-06-24
CN104734195B true CN104734195B (en) 2017-05-17

Family

ID=53457788

Family Applications (3)

Application Number Title Priority Date Filing Date
CN201710371934.XA CN106972542B (en) 2015-04-13 2015-04-13 A kind of monitoring method for the wind-light storage one micro-capacitance sensor being incorporated into the power networks
CN201710371948.1A CN107134815B (en) 2015-04-13 2015-04-13 A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks
CN201510172197.1A CN104734195B (en) 2015-04-13 2015-04-13 Monitoring method of wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner

Family Applications Before (2)

Application Number Title Priority Date Filing Date
CN201710371934.XA CN106972542B (en) 2015-04-13 2015-04-13 A kind of monitoring method for the wind-light storage one micro-capacitance sensor being incorporated into the power networks
CN201710371948.1A CN107134815B (en) 2015-04-13 2015-04-13 A kind of wind-light storage one micro-capacitance sensor and its monitoring device being incorporated into the power networks

Country Status (1)

Country Link
CN (3) CN106972542B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105356514A (en) * 2015-10-22 2016-02-24 成都鼎智汇科技有限公司 Monitoring method for wind-light integrated power generation system capable of automatically realizing voltage balance
CN105337305A (en) * 2015-10-22 2016-02-17 国家电网公司 Supervision device of wind-light integrated power generation system for automatically realizing voltage balance
CN105375483B (en) * 2015-12-16 2018-09-18 东南大学 A kind of source/net/storage/lotus coordinated management system and method for energy Internet service
CN105680474A (en) * 2016-02-22 2016-06-15 中国电力科学研究院 Control method for restraining rapid power change of photovoltaic station based on energy storage system
CN105914784A (en) * 2016-05-11 2016-08-31 成都欣维保科技有限责任公司 Voltage and power adjustable supervising device for intelligently distributed wind generator system
CN105932712A (en) * 2016-05-11 2016-09-07 成都欣维保科技有限责任公司 Method for monitoring intelligent distributed wind generator system with adjustable voltage and power
CN105939024A (en) * 2016-05-11 2016-09-14 成都欣维保科技有限责任公司 Intelligent distributed type wind power generation system capable of adjusting voltage and power
CN106026113A (en) * 2016-05-19 2016-10-12 成都欣维保科技有限责任公司 Micro-grid system monitoring method having reactive automatic compensation function
CN106685317A (en) * 2017-03-07 2017-05-17 辽宁石油化工大学 Power generation method and system of hybrid energy
CN107769236B (en) * 2017-11-10 2020-03-10 明阳智慧能源集团股份公司 Wind generating set energy storage and power generation system and energy scheduling method thereof

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100794197B1 (en) * 2006-06-30 2008-01-11 한국전기연구원 The method for controlling operation using hybrid distributed generation system
KR101277185B1 (en) * 2011-12-23 2013-06-24 재단법인 포항산업과학연구원 Dc microgrid system and ac/dc hybrid microgrid system using it
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
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
CN104319768B (en) * 2014-11-03 2016-03-16 四川慧盈科技有限责任公司 A kind of micro-capacitance sensor is powered and method for supervising
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

Also Published As

Publication number Publication date
CN104734195A (en) 2015-06-24
CN106972542A (en) 2017-07-21
CN107134815B (en) 2019-06-07
CN107134815A (en) 2017-09-05
CN106972542B (en) 2019-11-01

Similar Documents

Publication Publication Date Title
Shivashankar et al. Mitigating methods of power fluctuation of photovoltaic (PV) sources–A review
Yao et al. Challenges and progresses of energy storage technology and its application in power systems
Badwawi et al. A review of hybrid solar PV and wind energy system
CN104242337B (en) The real time coordination control method of photovoltaic microgrid system
Li et al. On the determination of battery energy storage capacity and short-term power dispatch of a wind farm
Yao et al. A statistical approach to the design of a dispatchable wind power-battery energy storage system
Wang et al. A highly integrated and reconfigurable microgrid testbed with hybrid distributed energy sources
Yao et al. Determination of short-term power dispatch schedule for a wind farm incorporated with dual-battery energy storage scheme
CN102882237B (en) Intelligent energy storage machine and operating method thereof
Xu et al. Distributed subgradient-based coordination of multiple renewable generators in a microgrid
TWI449294B (en) A power storage device for a power generation system and a method of applying the power storage device
Zhang et al. Research on battery supercapacitor hybrid storage and its application in microgrid
CN102593956B (en) Energy-storage system and control method thereof
Cvetkovic et al. Future home uninterruptible renewable energy system with vehicle-to-grid technology
CN101931241B (en) Wind farm grid-connected coordination control method
CN102437571B (en) Physical modeling system with wind power generation, photovoltaic power generation and energy storage integration system
US8659186B2 (en) Methods and systems for controlling a power conversion system
Kaabeche et al. Optimal sizing method for stand-alone hybrid PV/wind power generation system
CN201515334U (en) Solar photovoltaic generating system for power supply transformer substation
Ge et al. Energy storage system-based power control for grid-connected wind power farm
CN103683272B (en) A kind of independent direct current micro-grid system and energy equilibrium control method thereof
Nguyen et al. Cost-optimized battery capacity and short-term power dispatch control for wind farm
CN104318494A (en) Distributed generation intelligent monitoring system
Wang et al. Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system
CN103166250B (en) Smart energy management device of multi-energy power supply system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Li Yibin

Inventor after: Sheng Hongyu

Inventor after: Wang Shuizhong

Inventor after: Tong Weijun

Inventor before: Xu Chi

TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20170418

Address after: Hangzhou City, Zhejiang province 310000 Binjiang District West Street No. 567 Jiangling Road, building 2, floor 5, FN68

Applicant after: Hangzhou Ruiya Education Technology Co. Ltd.

Address before: The middle Tianfu Avenue in Chengdu city Sichuan province 610000 No. 1388 1 7 storey building No. 772

Applicant before: CHENGDU DINGZHIHUI SCIENCE AND TECHNOLOGY CO., LTD.

GR01 Patent grant
GR01 Patent grant