CN105914784A - Voltage and power adjustable supervising device for intelligently distributed wind generator system - Google Patents

Voltage and power adjustable supervising device for intelligently distributed wind generator system Download PDF

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Publication number
CN105914784A
CN105914784A CN201610312345.XA CN201610312345A CN105914784A CN 105914784 A CN105914784 A CN 105914784A CN 201610312345 A CN201610312345 A CN 201610312345A CN 105914784 A CN105914784 A CN 105914784A
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energy
storage system
discharge
power
wind
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靖新宇
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Chengdu Xinweibao Technology Co Ltd
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Chengdu Xinweibao Technology Co Ltd
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    • 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
    • H02J3/28Arrangements 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
    • 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)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Provided is a voltage and power adjustable supervising device for an intelligently distributed wind generator system, which can accurately predict wind power generation equipment output power change conditions, automatically track grid entry point voltage change, determine grid entry point reactive power requirements in real time, control strategies to meet large power grid scheduling demands and power generation system inner load demands, and meanwhile effectively inhibit power generation system voltage impact on a large power grid; the system can be provided with an energy storage system discharge zone, perform optimization management on energy storage system energy based on an SOC layered control strategy, correct energy storage system charge and discharge power in real time, optimize energy storage system work performance, consider power supply reliability, guarantee power generation system safety, and prolong the service life of power generation system inner equipment.

Description

A kind of monitoring of the intelligent distributed wind generator system of voltage and power adjustable joint Device
Art
The present invention relates to the supervising device of the intelligent distributed wind generator system of a kind of voltage and power adjustable joint.
Background technology
The energy and environmental crisis have become as the major issue affecting Human Sustainable Development, cleaning, the profit of regenerative resource With being the fundamental way solving this problem.Along with renewable energy power generation technology such as wind-power electricity generation, photovoltaic generation, wave-activated power generations Maturation, increasing renewable energy system form in a distributed manner access electrical network, meet the daily production of people, life The demand of electricity consumption.
Using the electricity generation system of wind-powered electricity generation and photovoltaic generation as supertension, the supplementing of remote, bulk power grid powering mode, Represent the developing direction that power system is new.Current wind-power electricity generation separation net type and grid type two kinds generating configuration mode, right Off-network type wind-power electricity generation pattern.
Existing the Shunt-connected Wind Power Generation System configures commonly used pattern: wind power generating set+inverter (or claim Current transformer)+booster transformer+grid-connection cabinet, wherein wind power generating set includes fan blade, electromotor and controller three part, generating Wind energy is transformed into electric energy under wind-force effect by machine.In this system, wind power generating set follow wind-force size change its Rotating speed changes, and the voltage, the power that are sent change, when the generating voltage of wind power generating set reaches the door of inverter During sill voltage, inverter is started working, and the electric energy that wind power generating set sent is grid-connected to be transferred out.If wind-force is less than normal, wind The voltage that power generator group sends is less than normal, when not reaching inverter threshold voltage value, inverter does not works, and wind power generating set is sent out The electric energy gone out cannot outwards carry, and at this moment wind power generating set is in idling conditions, if original already at grid-connected transmission of electricity shape State, at this moment wind power generating set will be from grid disconnection.When wind-force becomes big, and the rotating speed of wind power generating set accelerates, the electricity sent Buckling is high, and when reaching the threshold voltage of inverter, inverter is started working, electric energy supply boosting wind power generating set sent Transformator, through the grid-connected transmission of electricity of grid-connection cabinet, system is in generating transmission of electricity state.When wind-force continues to become big, wind power generating set Rotating speed accelerates, and the voltage sent continues to uprise, when will exceed the ceiling voltage restriction that inverter is born, and wind-driven generator Controller in group controls the blade pitch device work of wind power generating set, makes the fan blade Windward angle in wind-driven generator unit become Little, wind power generating set actively release part wind energy so as to get wind energy amount diminish, wind power generating set rotating speed step-down, artificially Reduce the magnitude of voltage of wind power generating set generating, voltage be limited in the range of inverter can bear, at this moment system still in Normal generating transmission operation state.Persistently increasing if wind-force continues, above measure can not make Control of Voltage at inverter institute energy During the voltage range born, controller controls the brake in wind power generating set, by the fan-holding in wind power generating set Extremely, system is deactivated state by force.As seen from the above analysis, existing wind power-generating grid-connected configuration system, wind energy Utilization can only take the least a section of centre, and when wind-force is less than normal or wind-force is bigger than normal, system all can not be transmitted electricity work, not only causes The waste that resource is the biggest, more importantly wind power generating set is frequently cut, is cut out electrical network, and electrical network is produced the biggest impact. This wind power-generating grid-connected pattern cannot realize carrying continuous print electric energy to electrical network, can only be interval defeated to electrical network at certain wind-force Electricity.
Energy storage technology largely solves undulatory property and the stochastic problems of wind-power electricity generation, is effectively improved intermittent micro-source Predictability, definitiveness and economy.Additionally, energy storage technology is meritorious at frequency modulation and voltage modulation and improvement system, reactive balance level, Improve the effect in terms of electricity generation system stable operation ability also obtain widely studied and prove.Higher in wind-power electricity generation permeability Power system in, when the power system frequency of occurrences and change in voltage, it is desirable to wind accumulation is to stability of power system and electric energy The real-time of quality is stronger, it is necessary to according to the real-time status of power system, fully takes into account the regulating power of wind accumulation, ability Ensure the reliable of power system and economical operation.
Summary of the invention
The present invention provides the supervising device of the intelligent distributed wind generator system of a kind of voltage and power adjustable joint, this prison Control device can the generated output change of pre-wind power equipment, traceable bulk power grid grid-connected point voltage information, obtain in real time bulk power grid and adjust Degree instruction, in real time the battery module battery capacity of detection, set energy storage system discharges interval, based on SOC muti-layer control tactics, Energy-storage system energy is optimized management, absorbs the unnecessary active power of wind power plant in time or supplementary wind-powered electricity generation lacks Active power, reduce the wind generator system impact on electrical network, ensure electricity generation system when grid-connected according to the demand of bulk power grid Participate in bulk power grid voltage-regulation, ensure voltage stabilization when being incorporated into the power networks.
To achieve these goals, the intelligent distributed wind generator system that a kind of voltage of the present invention and power adjustable save Supervising device, this supervising device includes:
Wind power plant monitoring module, monitors wind power plant, and the generating to wind power plant in real time Power is predicted;
Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, including: data Acquisition Processor, energy storage system discharges interval determiner and SOC multi-layer controller, can carry out reality to energy-storage system charge-discharge electric power Shi Xiuzheng, it is ensured that energy-storage system has works fine performance;
Filtration module, is connected with wind power plant, for the active-power P sent by wind power plantWOCarry out one Rank filter and export meritorious performance number P of wind power plant expectationWfTo energy-storage system monitoring module;
Load monitoring module, the load in monitoring electricity generation system in real time;
Middle control module, for determining the operation reserve of electricity generation system, and each module in above-mentioned supervising device sends finger Order, to perform this operation reserve;
Bus module, for the liaison of the modules of this supervising device;And
Parallel control module, wherein said parallel control module includes:
Bulk power grid gets in touch with unit, knows the ruuning situation of bulk power grid and relevant tune in real time from bulk power grid regulation and control center Degree information;
AC/DC two-way change of current module one monitoring unit, for controlling the mode of operation of AC/DC two-way change of current module one;
Pressure regulation unit, for monitoring the change in voltage of site, and determines the voltage compensation strategy of electricity generation system.
Preferably, energy-storage system monitoring module at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature Detection equipment.
Preferably, described data collection processor, for gathering the information of wind power plant and accumulator, process After obtain desired output power reference amount P of energy-storage systemESS=Δ P1+ΔPB, wherein Δ P1For PWOWith PWfDifference, for storage The desired output power of energy control system, Δ PBRemaining battery capacity and own loss and phase is considered for energy storage control system The additional amount of output after the feedback signal of prestige output reference quantity.
Preferably, described energy storage system discharges interval determiner is not broken through electrical network after wind power and be may utilize space receiving The period of ultimate value, set energy-storage system discharge range α, 0≤α < 100%, i.e. energy storage system discharges power with receive wind-powered electricity generation Rear remaining space ratio is α;If α=1 during system space available without residue, α=0 if energy-storage system does not discharge;Based on putting The energy-storage system charge-discharge electric power of the interval α of electricity is as follows:
P E S S ( t ) = P w d ( t ) - P lim i t s p a c e ( t ) P w d ( t ) > P lim i t s p a c e ( t ) P E S S ( t ) = &alpha; ( P w d ( t ) - P lim i t s p a c e ( t ) ) P w d ( t ) < P lim i t s p a c e ( t ) - - - ( 1 )
Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、It is respectively t wind-power electricity generation Equipment real output sum and wind-powered electricity generation can run territory extreme value;α is the discharge range of energy-storage system;
Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestAs follows Shown in:
E t = &Integral; t 1 t 2 P E S S &eta; c h arg e d t P E S S > 0 &Integral; t 1 t 2 P E S S / &eta; d i s c h arg e d t P E S S < 0 - - - ( 2 )
W t = E 0 + &Sigma; i = 1 t E t - - - ( 3 )
Wherein t1, t2It is respectively the initial of discharge and recharge and finish time;ηcharge, ηdischargeIt is respectively filling of energy-storage system Discharging efficiency;PESSFor expectation energy-storage system charge-discharge electric power;E0For energy-storage system primary power.
Preferably, described SOC multi-layer controller, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: Do not charge emergency stratum, less charge preventive stratum, normal discharge and recharge safe floor, less discharge preventive stratum, do not discharge emergency stratum.
Preferably, energy-storage system charge-discharge energy expected value PESS, through the correction factor that energy storage EMS determines KSOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction PSOC_ESS;KSOCIt is worth similar with Sigmoid function characteristic, Hence with Sigmoid function, it is modified, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
K S O C = 0 , S max &le; S &le; 100 % 1 1 + e - 10 ( x c - 0.5 ) , P p r e _ max < S < S max 1 , 0 &le; S &le; S p r e _ max - - - ( 5 )
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is under discharge condition, PESS(t)<0
K S O C = 0 , 0 % &le; S &le; S min 1 1 + e - 10 ( x f - 0.5 ) , S min < S < S p r e _ min 1 , S p r e _ min &le; S &le; 100 % - - - ( 7 )
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCCorrection determines energy-storage system actual charge-discharge electric power PSOC_ESS(t) be:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system;SmaxLower limit for the emergency stratum that do not charges;Smax、Spre_maxFor few charging The bound of preventive stratum;Spre_max、Spre_minBound for normal discharge and recharge safe floor;SminFor under few electric discharge preventive stratum Limit;XcFor calculating K under energy-storage system charged stateSOCCoefficient;XfFor calculating K under energy storage system discharges stateSOCCoefficient.
Preferably, described pressure regulation unit includes that grid-connected point voltage is measured subelement, reactive requirement and determined subelement and idle Output distribution subelement.
Preferably, described reactive requirement determine subelement according to grid-connected point voltage measure subelement obtain magnitude of voltage and its The error signal of voltage reference value determines current idle demand.
Preferably, described wind power plant monitoring module at least includes wind power plant voltage, electric current and frequency inspection Measurement equipment, wind speed measurement equipment.
Preferably, described wind power plant monitoring module obtains the service data of wind power plant in real time, and stores Data.
The supervising device of the present invention has the advantage that (1) Accurate Prediction wind power plant output situation of change; (2) automatic tracing the change in voltage of site, determines and the reactive requirement of site in real time;(3) control strategy meets bulk power grid While dispatching requirement and electricity generation system internal load demand, can effectively press down rushing of the voltage that bulk power grid causes by electricity generation system Hit;(4) set energy storage system discharges interval, based on SOC muti-layer control tactics, energy-storage system energy is optimized management, real Shi Xiuzheng energy-storage system charge-discharge electric power, optimizes energy-storage system service behaviour, has taken into account power supply reliability and has ensured electricity generation system Safety, extend the service life of equipment in electricity generation system.
Accompanying drawing explanation
Fig. 1 shows a kind of intelligent distributed wind generator system and the block diagram of supervising device thereof of the present invention;
Fig. 2 shows a kind of operation of electric power system and the monitoring method of present invention.
Detailed description of the invention
Fig. 1 shows the intelligent distributed wind generator system of one 10 of the present invention, and this electricity generation system 10 includes: wind-force Generating equipment 14, dc bus, for by two-way with the AC/DC that bulk power grid 20 is connected and isolates for dc bus change of current module one 15, load 17 and within connecting the AC/DC two-way change of current module 2 12 of wind power plant 12 and dc bus, electricity generation system Supervising device 11.
This energy-storage system 13 includes the two-way DC/DC changer 132 that battery module 131 is connected with above-mentioned dc bus;
This supervising device 11 includes:
Wind power plant monitoring module 112, for monitoring wind power plant 14 in real time, and to wind power plant 14 Generated output be predicted;
Energy-storage system monitoring module 115, can monitor SOC and the DC/DC reversible transducer of battery module in real time, including: Data collection processor, energy storage system discharges interval determiner and SOC multi-layer controller, can enter energy-storage system charge-discharge electric power Row is revised in real time, it is ensured that energy-storage system has works fine performance;
Filtration module 16, is connected with wind power plant, for the active-power P sent by wind power plantWOCarry out First-order filtering also exports meritorious performance number P of wind power plant expectationWfTo energy-storage system monitoring module;
Load monitoring module 118, the load in monitoring electricity generation system in real time;
Middle control module 117, for determining the operation reserve of electricity generation system 10, and each module in above-mentioned supervising device 11 Send instruction, to perform this operation reserve;
Bus module 111, for the liaison of the modules of this supervising device 11;And
Parallel control module 112, wherein said parallel control module includes: bulk power grid 20 gets in touch with unit, in real time from Bulk power grid 20 regulates and controls center and knows the ruuning situation of bulk power grid 20 and relevant schedule information;AC/DC two-way change of current module 1 Monitoring unit, for controlling the mode of operation of AC/DC two-way change of current module 1;Pressure regulation unit, for monitoring the electricity of site Buckling, and determine the voltage compensation strategy of electricity generation system.
Energy-storage system monitoring module 115 at least includes that accumulator voltage, electric current, SOC obtain equipment and temperature detection Equipment.
Described data collection processor, for gathering the information of wind power plant and accumulator, obtains after processing Desired output power reference amount P of energy-storage systemESS=Δ P1+ΔPB, wherein Δ P1For PWOWith PWfDifference, for energy storage control The desired output power of system, Δ PBRemaining battery capacity and own loss and desired output is considered for energy storage control system The additional amount of output after the feedback signal of power reference amount.
Described pressure regulation unit includes that grid-connected point voltage measures subelement, reactive requirement determines subelement and idle output distribution Subelement.Described reactive requirement determines that subelement measures, according to grid-connected point voltage, magnitude of voltage and its Voltage Reference that subelement obtains The error signal of value determines current idle demand.Idle according to wind power equipment and light-preserved system of described idle subelement of exerting oneself Power generation limits, distributes to wind power plant and energy-storage system by reactive requirement according to priority distribution method.
Photovoltaic power generation equipment 12 includes that multiple photovoltaic generating module, photovoltaic power generation equipment monitoring module 114 at least include light The volt voltage of generating equipment, electric current, frequency detection equipment, light-intensity test equipment.
Described 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 the SOC of battery module in real time.
Described energy storage system discharges interval determiner is not broken through electrical network after receiving wind power and be may utilize spatial margins value Period, < 100%, i.e. energy storage system discharges power remains after wind-powered electricity generation with receiving to set the discharge range α, 0≤α of energy-storage system Space ratio be α;If α=1 during system space available without residue, α=0 if energy-storage system does not discharge;Based on discharge range α Energy-storage system charge-discharge electric power as follows:
P E S S ( t ) = P w d ( t ) - P lim i t s p a c e ( t ) P w d ( t ) > P lim i t s p a c e ( t ) P E S S ( t ) = &alpha; ( P w d ( t ) - P lim i t s p a c e ( t ) ) P w d ( t ) < P lim i t s p a c e ( t ) - - - ( 1 )
Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、It is respectively t wind-power electricity generation Equipment and optical electric field group's real output sum and wind-powered electricity generation and photoelectricity can run territory extreme value;α is the region of discharge of energy-storage system Between;
Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestAs follows Shown in:
E t = &Integral; t 1 t 2 P E S S &eta; c h arg e d t P E S S > 0 &Integral; t 1 t 2 P E S S / &eta; d i s c h arg e d t P E S S < 0 - - - ( 2 )
W t = E 0 + &Sigma; i = 1 t E t - - - ( 3 )
Wherein t1, t2It is respectively the initial of discharge and recharge and finish time;ηcharge, ηdischargeIt is respectively filling of energy-storage system Discharging efficiency;PESSFor energy-storage system charge-discharge electric power;E0For energy-storage system primary power.
Preferably, described SOC multi-layer controller, energy-storage system SOC is divided into following five levels according to charging and discharging capabilities: Do not charge emergency stratum, less charge 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, through the correction factor that energy storage EMS determines KSOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction PSOC_ESS;KSOCIt is worth similar with Sigmoid function characteristic, Hence with Sigmoid function, it is modified, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
K S O C = 0 , S max &le; S &le; 100 % 1 1 + e - 10 ( x c - 0.5 ) , P p r e _ max < S < S max 1 , 0 &le; S &le; S p r e _ max - - - ( 5 )
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is inElectric dischargeUnder state, PESS(t)<0
K S O C = 0 , 0 % &le; S &le; S min 1 1 + e - 10 ( x f - 0.5 ) , S min < S < S p r e _ min 1 , S p r e _ min &le; S &le; 100 % - - - ( 7 )
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCCorrection determines energy-storage system actual charge-discharge electric power PSOC_ESS(t) be:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system;SmaxLower limit for the emergency stratum that do not charges;Smax、Spre_maxFor few charging The bound of preventive stratum;Spre_max、Spre_minBound for normal discharge and recharge safe floor;SminFor under few electric discharge preventive stratum Limit;XcFor calculating K under energy-storage system charged stateSOCCoefficient;XfFor calculating 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-connected point voltage is measured subelement and is at least included for detecting bulk power grid 20 and electricity generation system 10 voltage, electric current and frequency Detection equipment, data acquisition unit and the data processing unit of rate.Data acquisition unit comprises collection pretreatment and A/D modulus of conversion Block, gathers eight tunnel telemetered signal amounts, comprises grid side A phase voltage, electric current, the three-phase voltage of electricity generation system side, electric current.Remote measurement amount By the high-precision current in terminal and voltage transformer, strong ac signal (5A/110V) can be changed into inside without distortion Weak electric signal, enters A/D chip and carries out analog digital conversion after filtered process, converted after digital signal through data processing unit Calculate, it is thus achieved that the three-phase voltage current value of wind power plant energy-storage system 10 side and bulk power grid 20 side phase voltage current value.This Telemetered signal amount processes and have employed high-speed and high-density synchronized sampling, automatic frequency tracking technology also has the fft algorithm improved, so Precision is fully guaranteed, it is possible to complete that wind power plant energy-storage system 10 side is meritorious, idle and electric energy is from first-harmonic to high order The measurement of harmonic component and process.
Seeing accompanying drawing 2, the method for the present invention comprises the steps:
S1. wind power plant monitoring module obtains wind power plant service data in real time, and stores data, obtains in real time Take load power demand situation in electricity generation system;The active-power P that wind power plant is sentWOCarry out first-order filtering and export Wind power plant expectation active-power PWf
S2. gather grid-connected point voltage information, determine that electricity generation system is meritorious and idle defeated according to bulk power grid dispatch command simultaneously Go out demand;Detection in real time obtains the SOC of battery module;
S3. by gathering wind power plant, electrical network and the information of accumulator, the expectation of energy-storage system after processing, is obtained Output reference quantity PEss=Δ P1+ΔPB, wherein Δ P1For PWOWith PWfDifference, set energy storage system discharges interval, build SOC muti-layer control tactics;
S4. by negative in meritorious and idle for electricity generation system output demand, current SOC muti-layer control tactics, current electricity generation system Load power demand, wind power plant are exportable meritorious and idle as constraints, it is achieved the optimization of electricity generation system runs.
Preferably, in step s3, following concrete steps are specifically included:
S31. energy storage system discharges is set interval
Described energy storage system discharges interval determiner is not broken through electrical network after receiving wind power and be may utilize spatial margins value Period, < 100%, i.e. energy storage system discharges power remains after wind-powered electricity generation with receiving to set the discharge range α, 0≤α of energy-storage system Space ratio be α;If α=1 during system space available without residue, α=0 if energy-storage system does not discharge;Based on discharge range α Energy-storage system charge-discharge electric power as follows:
P E S S ( t ) = P w d ( t ) - P lim i t s p a c e ( t ) P w d ( t ) > P lim i t s p a c e ( t ) P E S S ( t ) = &alpha; ( P w d ( t ) - P lim i t s p a c e ( t ) ) P w d ( t ) < P lim i t s p a c e ( t ) - - - ( 1 )
Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、It is respectively t wind-power electricity generation Equipment and optical electric field group's real output sum and wind-powered electricity generation and photoelectricity can run territory extreme value;α is the region of discharge of energy-storage system Between;
Energy-storage system charge-discharge energy EtAnd energy-storage system discharge and recharge cumulative capacity W after each scheduling slot terminatestAs follows Shown in:
E t = &Integral; t 1 t 2 P E S S &eta; c h arg e d t P E S S > 0 &Integral; t 1 t 2 P E S S / &eta; d i s c h arg e d t P E S S < 0 - - - ( 2 )
W t = E 0 + &Sigma; i = 1 t E t - - - ( 3 )
Wherein t1, t2It is respectively the initial of discharge and recharge and finish time;ηcharge, ηdischargeIt is respectively filling of energy-storage system Discharging efficiency;PESSFor energy-storage system charge-discharge electric power;E0For energy-storage system primary power.
S32. SOC muti-layer control tactics is built
Described SOC multi-layer controller, is divided into following five levels by energy-storage system SOC according to charging and discharging capabilities: do not charge Emergency stratum, less charge 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, through the adjusted coefficient K that energy storage EMS determinesSOCMove State adjusts, and obtains energy-storage system actual discharge and recharge instruction PSOC_ESS;KSOCIt is worth similar with Sigmoid function characteristic, hence with It is modified by Sigmoid function, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
K S O C = 0 , S max &le; S &le; 100 % 1 1 + e - 10 ( x c - 0.5 ) , P p r e _ max < S < S max 1 , 0 &le; S &le; S p r e _ max - - - ( 5 )
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is inElectric dischargeUnder state, PESS(t)<0
K S O C = 0 , 0 % &le; S &le; S min 1 1 + e - 10 ( x f - 0.5 ) , S min < S < S p r e _ min 1 , S p r e _ min &le; S &le; 100 % - - - ( 7 )
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCCorrection determines energy-storage system actual charge-discharge electric power PSOC_ESS(t) be:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system;SmaxLower limit for the emergency stratum that do not charges;Smax、Spre_maxFor few charging The bound of preventive stratum;Spre_max、Spre_minBound for normal discharge and recharge safe floor;SminFor under few electric discharge preventive stratum Limit;XcFor calculating K under energy-storage system charged stateSOCCoefficient;XfFor calculating K under energy storage system discharges stateSOCCoefficient.
Preferably, also have the following steps after S1, according to wind speed and wind power plant frequency modulation, pressure regulation spare capacity need Ask, utilize the hypervelocity of Wind turbines to 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, in step s 4, for the distribution of electricity generation system active power, Wind turbines and photovoltaic is preferentially utilized to send out The active reserve capacity of electricity equipment self, when the active reserve capacity deficiency of Wind turbines and photovoltaic power generation equipment self, then Energy-storage system is utilized to make up the deficiency that active power is exerted oneself.
Above content is to combine concrete preferred implementation further description made for the present invention, it is impossible to assert Being embodied as of the present invention is confined to these explanations.For general technical staff of the technical field of the invention, On the premise of present inventive concept, make some equivalents and substitute or obvious modification, and performance or purposes are identical, all should It is considered as belonging to protection scope of the present invention.

Claims (10)

1. a supervising device for the intelligent distributed wind generator system of voltage and power adjustable joint, this supervising device includes:
Wind power plant monitoring module, monitors wind power plant, and the generated output to wind power plant in real time It is predicted;
Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, including: data acquisition Processor, energy storage system discharges interval determiner and SOC multi-layer controller, can repair in real time to energy-storage system charge-discharge electric power Just, it is ensured that energy-storage system has works fine performance;
Filtration module, is connected with wind power plant, for the active-power P sent by wind power plantWOCarry out single order filter Ripple also exports meritorious performance number P of wind power plant expectationWfTo energy-storage system monitoring module;
Load monitoring module, the load in monitoring electricity generation system in real time;
Middle control module, for determining the operation reserve of electricity generation system, and each module in above-mentioned supervising device sends instruction, with Perform this operation reserve;
Bus module, for the liaison of the modules of this supervising device;And
Parallel control module, wherein said parallel control module includes:
Bulk power grid contact unit, knows the ruuning situation of bulk power grid and relevant scheduling letter in real time from bulk power grid regulation and control center Breath;
AC/DC two-way change of current module one monitoring unit, for controlling the mode of operation of AC/DC two-way change of current module one;
Pressure regulation unit, for monitoring the change in voltage of site, and determines the voltage compensation strategy of electricity generation system.
2. device as claimed in claim 1, it is characterised in that described energy-storage system monitoring module at least includes accumulator terminal electricity Pressure, electric current, SOC obtain equipment and temperature testing equipment.
3. device as claimed in claim 2, it is characterised in that described data collection processor, is used for gathering wind-power electricity generation and sets The standby information with accumulator, obtains desired output power reference amount P of energy-storage system after processingESS=Δ P1+ΔPB, wherein ΔP1For PWOWith PWfDifference, for the desired output power of energy storage control system, Δ PBAccumulator is considered for energy storage control system The additional amount of output after the feedback signal of residual capacity and own loss and desired output power reference amount.
4. device as claimed in claim 3, it is characterised in that described energy storage system discharges interval determiner is receiving wind-powered electricity generation merit Do not break through electrical network after rate and may utilize the period of spatial margins value, set energy-storage system discharge range α, 0≤α < 100%, i.e. store up After energy system discharge power and receiving wind-powered electricity generation, remaining space ratio is α;If α=1 during system space available without residue, if storage Can system not discharge α=0;Energy-storage system charge-discharge electric power based on discharge range α is as follows:
P E S S ( t ) = P w d ( t ) - P lim i t s p a c e ( t ) P w d ( t ) > P lim i t s p a c e ( t ) P E S S ( t ) = &alpha; ( P w d ( t ) - P lim i t s p a c e ( t ) ) P w d ( t ) < P lim i t s p a c e ( t ) - - - ( 1 )
Wherein PESST () is t energy-storage system charge-discharge electric power;Pwd(t)、It is respectively t wind power plant Real output sum and wind-powered electricity generation can run territory extreme value;α is the discharge range of 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:
E t = &Integral; t 1 t 2 P E S S &eta; c h arg e d t P E S S > 0 &Integral; t 1 t 2 P E S S / &eta; d i s c h arg e d t P E S S < 0 - - - ( 2 )
W t = E 0 + &Sigma; i = 1 t E t - - - ( 3 )
Wherein t1, t2It is respectively the initial of discharge and recharge and finish time;ηcharge, ηdischargeIt is respectively the discharge and recharge of energy-storage system Efficiency;PESSFor expectation energy-storage system charge-discharge electric power;E0For energy-storage system primary power.
5. device as claimed in claim 4, it is characterised in that described SOC multi-layer controller, by energy-storage system SOC according to filling Discharge capability is divided into following five levels: the emergency stratum that do not charges, less charge preventive stratum, normal discharge and recharge safe floor, few electric discharge are pre- Anti-layer, do not discharge emergency stratum.
6. device as claimed in claim 5, it is characterised in that energy-storage system charge-discharge energy expected value PESS, through energy storage energy The adjusted coefficient K that management system determinesSOCDynamically adjust, obtain energy-storage system actual discharge and recharge instruction PSOC_ESS;KSOCValue Similar with Sigmoid function characteristic, hence with Sigmoid function, it is modified, embodies as follows:
Energy-storage system is under charged state, PESS(t)>0
K S O C = 0 , S max &le; S &le; 100 % 1 1 + e - 10 ( x c - 0.5 ) , S p r e _ max < S < S max 1 , 0 &le; S &le; S p r e _ max - - - ( 5 )
xc=(S-Smax)/(Spre_max-Smax) (6)
Energy-storage system is under discharge condition, PESS(t)<0
K S O C = 0 , 0 % &le; S &le; S min 1 1 + e - 10 ( x f - 0.5 ) , S min < S < S p r e _ min 1 , S p r e _ min &le; S &le; 100 % - - - ( 7 )
xf=(S-Smin)/(Spre_min-Smin) (8)
Adjusted COEFFICIENT KSOCCorrection determines energy-storage system actual charge-discharge electric power PSOC_ESS(t) be:
PSOC_ESS(t)=KSOCPESS(t) (9)
Wherein S is the state-of-charge of energy-storage system;SmaxLower limit for the emergency stratum that do not charges;Smax、Spre_maxFor few charging preventive stratum Bound;Spre_max、Spre_minBound for normal discharge and recharge safe floor;SminLower limit for few electric discharge preventive stratum;XcFor K is calculated under energy-storage system charged stateSOCCoefficient;XfFor calculating K under energy storage system discharges stateSOCCoefficient.
7. device as claimed in claim 6, it is characterised in that described pressure regulation unit include grid-connected point voltage measure subelement, Reactive requirement determines subelement and idle output distribution subelement.
8. device as claimed in claim 7, it is characterised in that described reactive requirement determines that subelement is surveyed according to grid-connected point voltage The magnitude of voltage that quantum boxes obtains determines current idle demand with the error signal of its voltage reference value.
9. device as claimed in claim 8, it is characterised in that described wind power plant monitoring module at least includes that wind-force is sent out Electricity equipment voltage, electric current and frequency detection equipment, wind speed measurement equipment.
10. device as claimed in claim 9, it is characterised in that described wind power plant monitoring module obtains wind-force in real time The service data of generating equipment, and store data.
CN201610312345.XA 2016-05-11 2016-05-11 Voltage and power adjustable supervising device for intelligently distributed wind generator system Pending CN105914784A (en)

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