CN105207250A - Monitoring device of wind storage system capable of grid-connected operation - Google Patents
Monitoring device of wind storage system capable of grid-connected operation Download PDFInfo
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- CN105207250A CN105207250A CN201510559771.9A CN201510559771A CN105207250A CN 105207250 A CN105207250 A CN 105207250A CN 201510559771 A CN201510559771 A CN 201510559771A CN 105207250 A CN105207250 A CN 105207250A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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- Y02E10/76—Power conversion electric or electronic aspects
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
A monitoring device 11 of a wind storage system capable of grid-connected operation comprises a wind power generation device monitoring module 113 for monitoring a wind power generation device 14 in real time, predicting the generating power of the wind power generation device 14, and controlling the power output of wind power generation; an energy storage system monitoring module 115 capable of monitoring SOC of a storage battery module 131 and a DC/DC bidirectional converter 132 and controlling the power input and output of an energy storage system 13; a large power grid communication module 112 for obtaining operation information and corresponding scheduling information of a large power grid 20 in real time from a regulation and control center of the large power grid; a grid-connection monitoring module 116 which is used for controlling the wind storage system to connect or isolate the large power grid and comprises an AD sampling module and an inversion controller; a load monitoring module 114 for monitoring loads 16 in the wind storage system in real time; a center control module 117 for determining an operation strategy of the wind storage system and sending instructions to each module in the monitoring device 11 above to execute the operation strategy; and a bus module 111 for communication of each module of the monitoring device 11, wherein the bus module 111 is connected with other modules through a redundancy double CAN bus.
Description
Art
The present invention relates to a kind of supervising device of the wind storage system be incorporated into the power networks.
Background technology
Wind energy is as a kind of regenerative resource, and its pollution-free, easy acquisition had, distribute the characteristic such as wide, and make wind generating technology worldwide obtain develop rapidly, in China's electrical network, the scale of wind power generation is also in continuous increase.Because wind energy has randomness and intermittent feature, Power Output for Wind Power Field is very unstable, in order to the whole bulk power grid after ensureing large-scale wind generating access electrical network can stability and safety run, most effective method is exactly to electrical network power output with energy-storage system associating wind-powered electricity generation.Energy-storage system is combined with wind power generation, just can effectively smooth wind power field active power export, reduce wind energy turbine set to the impact of electrical network.
Due to the continuous increase of the permeability of Wind Power Generation on Power System, it more and more be can not ignore the impact of electrical network, and the maintenance cost of electrical network is also increasing, and therefore it should play an active part in electric network coordination construction and management and running, realizes providing powerful support for and supplementing to electrical network.The original trend distribution of fluctuation degree direct influence electrical network of power, when wind power generation permeability is in higher level, fluctuation and randomness bring huge impact can to original operational mode of electrical network.
In the large-scale energy-storage system such as intelligent grid and microgrid and the application of distributed energy storage system, the connected mode of a kind of DC bus of normal employing, this connected mode is that energy-storage battery module is by a kind of two-way inverter access DC bus, when needing received energy, electrical network is charged to energy-storage battery by inverter; When needing to grid transmission, energy-storage battery is by two-way inverter grid power transmission.
Wind storage system comprises the pattern of being incorporated into the power networks and from network operation pattern; Be incorporated into the power networks pattern, and microgrid and bulk power grid are incorporated into the power networks, and by controlling converter output current and line voltage same-phase, namely traditional Current Control, reaching unity power factor and exporting, indirectly controlling converter power output simultaneously; From network operation pattern, when the grid fails, microgrid in time and bulk power grid disconnect and independent operating; During from network operation pattern, for different loads, microgrid has good output external characteristic, generally includes PQ method, PV method, the output external characteristic control methods such as V/f method.Wind storage system, when being incorporated into the power networks, needs the key issue solved to be fail safe and economy.
Summary of the invention
The invention provides a kind of supervising device of the wind storage system be incorporated into the power networks, the generated output of the measurable wind power plant of this supervising device, can the power demand of real-time tracing wind storage system and bulk power grid tie point, the battery module battery capacity of real-time detection, when being incorporated into the power networks, energy reasonable disposition wind power generation power and stored energy capacitance, can formulate and implement optimum control strategy, demand according to bulk power grid when ensureing grid-connected steadily provides power stage, and promotes fail safe and the economy of power supply.
To achieve these goals, the invention provides a kind of supervising device of the wind storage system be incorporated into the power networks, this supervising device comprises:
Wind power plant monitoring module, for monitoring wind power plant in real time, and predicting the generated output of wind power plant, controlling the power stage of wind power generation;
Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, controls the input and output of energy-storage system power;
Bulk power grid contact module, knows the ruuning situation of bulk power grid and relevant schedule information for real-time from bulk power grid regulation and control center;
Parallel control module, connecting or isolation bulk power grid for controlling wind storage system, comprising AD acquisition module and inverter controller;
Load monitoring module, for monitoring the load in wind storage system in real time;
Middle control module, for determining the operation reserve of wind storage system, and sends instruction to each module in above-mentioned supervising device, to perform this operation reserve;
Bus module, for the liaison of the modules of this supervising device.
Preferably, the input of AD acquisition module is arranged at the output of grid-connected AC/DC reversible transducer, and described inverter controller is connected to the control end of described grid-connected AC/DC reversible transducer.
Preferably, described inverter controller is used for arranging reactance model value L0 before grid-connected AC/DC reversible transducer is incorporated into the power networks, described AD acquisition module is used for, after described grid-connected AC/DC reversible transducer runs, gathering the grid-connected current value i that described grid-connected AC/DC reversible transducer exported in n moment and n+1 moment
l(n) and i
l(n+1), wherein, (n, n+1) corresponding switch periods T
period, the reactance voltage value U that exports in the n moment of described grid-connected AC/DC reversible transducer
ln reactance voltage value U that (), described grid-connected AC/DC reversible transducer exported in the n+1 moment
land the grid-connected current value i that exports in the n+2 moment of described grid-connected AC/DC reversible transducer (n+1)
l(n+2), wherein, (n+1, n+2) corresponding switch periods T
period, and analog-to-digital conversion is carried out to described parallel-current value and reactance voltage value, the corresponding digital signals after conversion is sent to described middle control module.
The described grid-connected current value i of the digital signal from AD acquisition module that described middle control module will receive
l(n), i
l(n+1), switch periods T
periodwith the reactance voltage value U that the n moment exports
ln () substitutes into following formula (1), to obtain the first relational expression about grid-connected reactance value L and equivalent series resistance R,
The grid-connected current value i of the digital signal from AD acquisition module that described middle control module will receive
l(n+1), i
l(n+2), switch periods T
periodwith the reactance voltage value U that the n+2 moment exports
l(n+1) following formula (2) is substituted into, to obtain the second relational expression about grid-connected reactance value L and equivalent series resistance R,
Described middle control module calculates grid-connected reactance value L and equivalent series resistance R according to described first relational expression and the second relational expression, judge that described grid-connected reactance value L equals described reactance model value L0, if not, then described AD acquisition module and described controller repeat above-mentioned action, until described grid-connected reactance value L equals described reactance model value L0.
Preferably, described middle control module comprises wind power generation and stored energy capacitance dispensing unit, to come in and go out with the energy of energy-storage system for configuring exerting oneself of wind power plant.
Preferably, time grid-connected, described wind power generation and stored energy capacitance dispensing unit adopt WAVELET PACKET DECOMPOSITION method that wind-powered electricity generation fluctuating power is decomposed into low frequency part and HFS, and using the desired value of low frequency part as wind-electricity integration, HFS is stabilized by energy-storage system.
Preferably, wind power plant monitoring module at least comprises wind power plant voltage, current detecting equipment, wind-force checkout equipment.
Preferably, the service data of described wind power plant monitoring module Real-time Obtaining wind power plant, and store data.
Preferably, energy-storage system monitoring module at least comprises accumulator voltage, electric current, SOC acquisition equipment and temperature testing equipment.
Preferably, described SOC obtains equipment and comprises: the first acquisition module, for obtaining the operating state of battery; First determination module, for determining the evaluation method of estimating battery state-of-charge according to the operating state of battery; Computing module, for being in the battery charge state value under different operating states according to evaluation method calculating battery.
Preferably, the first determination module comprises: first determines submodule, and for when the operating state got is inactive state, determine that evaluation method is the first evaluation method, wherein, the first evaluation method comprises open circuit voltage method; Second determines submodule, for when the operating state got is for returning to form, determines that evaluation method is the second evaluation method; 3rd determines submodule, and for when the operating state got is charging and discharging state, determine that evaluation method is the 3rd evaluation method, wherein, the 3rd evaluation method comprises Kalman filtering method.
The supervising device tool being incorporated into the power networks wind storage electricity generation system of the present invention has the following advantages: the curent change of (1) Accurate Prediction wind generator system and bulk power grid tie point, power fluctuation when effectively suppressing grid-connected; (2) control strategy is taken into account and is joined bulk power grid scheduling requirement and energy-storage system ruuning situation, while the dispatching requirement meeting bulk power grid and micro-capacitance sensor internal load demand, reasonable disposition wind power plant exports and stored energy capacitance, has taken into account power supply reliability and economy.
Accompanying drawing explanation
Fig. 1 shows the structured flowchart of a kind of be incorporated into the power networks wind storage system and supervising device thereof of the present invention;
Fig. 2 shows operation and the method for supervising of wind storage system of the present invention.
Embodiment
The one of the present invention that shows Fig. 1 can be incorporated into the power networks wind storage system 10, and this wind storage system 10 comprises: wind power plant 14, energy-storage system 13, grid-connected AC/DC reversible transducer 12 for wind storage system 10 and bulk power grid 20 are connected and are isolated, DC bus, the change of current AC/DC reversible transducer 15 being used for connecting wind power plant 14 and DC bus, load 16 and supervising device 11.
See Fig. 1, the two-way DC/DC converter 132 that this energy-storage system 13 comprises battery module 131, is connected with above-mentioned DC bus.
This supervising device 11 comprises: wind power plant monitoring module 113, for monitoring wind power plant 14 in real time, and predicting the generated output of wind power plant 14, controlling the power stage of wind power generation; Energy-storage system monitoring module 115, can monitor SOC and the DC/DC reversible transducer 132 of battery module 131 in real time, controls the input and output of energy-storage system 13 power; Bulk power grid contact module 112, regulates and controls center from bulk power grid 20 know the ruuning situation of bulk power grid and relevant schedule information for real-time; Parallel control module 116, connecting or isolation bulk power grid for controlling wind storage system, comprising AD acquisition module and inverter controller; Load monitoring module 114, for monitoring the load 16 in wind storage system in real time; Middle control module 117, for determining the operation reserve of wind storage system, and sends instruction to each module in above-mentioned supervising device 11, to perform this operation reserve; Bus module 111, for the liaison of the modules of this supervising device 11, described bus communication module 111 is connected with other modules by redundancy dual CAN bus.
Preferably, the input of AD acquisition module is arranged at the output of grid-connected AC/DC reversible transducer 12, and described inverter controller is connected to the control end of described grid-connected AC/DC reversible transducer 12.
Preferably, described inverter controller is used for arranging reactance model value L0 before grid-connected AC/DC reversible transducer 12 is incorporated into the power networks, described AD acquisition module is used for, after described grid-connected AC/DC reversible transducer 12 runs, gathering the grid-connected current value i that described grid-connected AC/DC reversible transducer 12 exported in n moment and n+1 moment
l(n) and i
l(n+1), wherein, (n, n+1) corresponding switch periods T
period, the reactance voltage value U that exports in the n moment of described grid-connected AC/DC reversible transducer
ln reactance voltage value U that (), described grid-connected AC/DC reversible transducer 12 exported in the n+1 moment
land the grid-connected current value i that exports in the n+2 moment of described grid-connected AC/DC reversible transducer 12 (n+1)
l(n+2), wherein, (n+1, n+2) corresponding switch periods T
period, and analog-to-digital conversion is carried out to described parallel-current value and reactance voltage value, the corresponding digital signals after conversion is sent to described middle control module 117.
The described grid-connected current value i of the digital signal from AD acquisition module that described middle control module 117 will receive
l(n), i
l(n+1), switch periods T
periodwith the reactance voltage value U that the n moment exports
ln () substitutes into following formula (1), to obtain the first relational expression about grid-connected reactance value L and equivalent series resistance R,
The grid-connected current value i of the digital signal from AD acquisition module that described middle control module 117 will receive
l(n+1), i
l(n+2), switch periods T
periodwith the reactance voltage value U that the n+2 moment exports
l(n+1) following formula (2) is substituted into, to obtain the second relational expression about grid-connected reactance value L and equivalent series resistance R,
Described middle control module 117 calculates grid-connected reactance value L and equivalent series resistance R according to described first relational expression and the second relational expression, judge that described grid-connected reactance value L equals described reactance model value L0, if not, then described AD acquisition module and described controller repeat above-mentioned action, until described grid-connected reactance value L equals described reactance model value L0.
Preferably, described middle control module 117 comprises wind power generation and stored energy capacitance dispensing unit, to come in and go out with the energy of energy-storage system for configuring exerting oneself of wind power plant.
Preferably, time grid-connected, described wind power generation and stored energy capacitance dispensing unit adopt WAVELET PACKET DECOMPOSITION method that wind-powered electricity generation fluctuating power is decomposed into low frequency part and HFS, and using the desired value of low frequency part as wind-electricity integration, HFS is stabilized by energy-storage system.
Wind power plant 14 comprises multiple Wind turbines, and wind power plant monitoring module 113 at least comprises voltage, electric current, frequency detection equipment, the wind-force checkout equipment of wind power plant.
Energy-storage system monitoring module 114 at least comprises accumulator voltage, electric current, SOC acquisition equipment and temperature testing equipment, can monitor the SOC of battery module in real time.
Described SOC obtains equipment and comprises: the first acquisition module, for obtaining the operating state of battery; First determination module, for determining the evaluation method of estimating battery state-of-charge according to the operating state of battery; Computing module, for being in the battery charge state value under different operating states according to evaluation method calculating battery.
First determination module comprises: first determines submodule, and for when the operating state got is inactive state, determine that evaluation method is the first evaluation method, wherein, the first evaluation method comprises open circuit voltage method; Second determines submodule, for when the operating state got is for returning to form, determines that evaluation method is the second evaluation method; 3rd determines submodule, and for when the operating state got is charging and discharging state, determine that evaluation method is the 3rd evaluation method, wherein, the 3rd evaluation method comprises Kalman filtering method.
Further, evaluation method is the 3rd evaluation method, and computing module comprises: set up module, for the battery model utilizing three rank equivalent electric circuits to set up battery; Second determination module, for determining the state equation of battery model and measuring equation; First calculating sub module, for using state equation and the battery charge state value measuring equation calculating battery.
Further, evaluation method is the second evaluation method, and computing module comprises: the second acquisition module, is entering the operating state before returning to form for obtaining battery; Second calculating sub module, at battery when entering the operating state before returning to form and being discharge condition, according to the first formulae discovery battery charge state value, wherein, the first formula is
sOC
tfor the battery charge state value under returning to form, SOC
dfor battery charge state value when discharge condition stops, M is the accumulation electricity in battery discharge procedure, t be battery in the time returning to form lower experience, h is the default duration returned to form, and Q is the actual capacity of battery; 3rd calculating sub module, at battery when entering the operating state before returning to form and being charged state, according to the second formulae discovery battery charge state value, wherein, the second formula is SOC
t=SOC
c+ M × h × 100%, SOC
cfor battery charge state value when charged state stops.
Further, evaluation method is the first evaluation method, and computing module comprises: the 3rd acquisition module, for obtaining the open circuit voltage of battery; Read module, for reading battery charge state value corresponding to open circuit voltage.
Preferably, battery module 131 adopts lithium battery as the base unit of power storage.
Preferably, described battery module 131, comprises n battery pack, described DC/DC reversible transducer 132 has n DC/DC current transformer, n is more than or equal to 3, and each battery pack is by the discharge and recharge of a DC/DC inverter controller, and this n DC/DC current transformer controls by energy-storage system monitoring module.
Middle control module 117 at least comprises CPU element, data storage cell and display unit.
See accompanying drawing 2, method of the present invention comprises the steps:
S1. the service data of wind power plant monitoring module Real-time Obtaining wind power plant, and store data;
S2. according to the service data of wind power plant, the power output of wind power plant in following predetermined instant is predicted;
S3. the SOC obtaining battery module is detected in real time, Real-time Obtaining wind storage system internal burden power demand conditions;
S4. the parameter of Real-time Obtaining bulk power grid and schedule information, the power demand of prediction future time wind storage system and bulk power grid tie point;
S5. using the SOC of wind storage system and the power demand of bulk power grid tie point, current batteries to store energy, current be electrical network internal burden power demand and wind power plant as constraints, determine optimal operation plan, and carry out grid-connected.
Preferably, the power output of arbitrary wind-power generated power forecasting method prediction wind power plant in prior art is adopted in step s 2.
Preferably, in step s 5, following steps are adopted to realize photovoltaic generating system and bulk power grid is incorporated into the power networks:
S501., before grid-connected AC/DC reversible transducer is incorporated into the power networks, reactance model value L0 is set.。
S501. setting can be performed by middle control module 116.It should be noted that, before step S501, perform following step: initialization is carried out to analog to digital AD acquisition module.
S502. in, control module 116 sends enabled instruction to inverter controller, starts grid-connected AC/DC reversible transducer and runs;
S503. the grid-connected current value i that grid-connected AC/DC reversible transducer exported in n moment and n+1 moment is gathered
l(n) and i
l(n+1), wherein, (n, n+1) corresponding switch periods T
period.
In one embodiment of the present of invention, step S503 can be performed by AD acquisition module.Particularly, AD acquisition module gathers the grid-connected current value i that grid-connected AC/DC reversible transducer exported in n moment and n+1 moment
l(n) and i
l(n+1), then by the grid-connected current value i of above-mentioned analog signal form
l(n) and i
l(n+1) carry out analog-digital conversion, generate the grid-connected current value i of digital signal form
l(n) and i
l(n+1), middle control module 116 is sent to.
S504. the reactance voltage value U that grid-connected AC/DC reversible transducer exported in the n moment is gathered
l(n).
In one embodiment of the invention, step S504 can be performed by AD acquisition module.Particularly, AD acquisition module gathers the reactance voltage value U that grid-connected AC/DC reversible transducer exported in the n moment
ln (), then by the reactance voltage value U of above-mentioned analog signal form
ln () carries out analog-digital conversion, generate the reactance voltage value U of digital signal form
ln (), sends to middle control module 116.
Step S505, by grid-connected current value i
l(n), i
l(n+1), switch periods T
periodwith the reactance voltage value U that the n moment exports
ln () substitutes into following formula (1), to obtain the first relational expression about grid-connected reactance value L and equivalent series resistance R,
In an embodiment of the present invention, step S505 can be performed by middle control module 116.Particularly, middle control module 116 is according to the grid-connected current value i of the digital signal form from AD acquisition module received
l(n), i
l(n+1), switch periods T
periodwith the reactance voltage value U that the n moment exports
ln () substitutes into formula (1), obtain the first relational expression f about grid-connected reactance value L and equivalent series resistance R
1(R, L).
S506. the reactance voltage value U that grid-connected AC/DC reversible transducer exported in the n+1 moment is gathered
l(n+1).
Step S506 can be performed by AD acquisition module.Particularly, AD acquisition module gathers the reactance voltage value U that grid-connected AC/DC reversible transducer exported in the n+1 moment
l(n+1) by the reactance voltage value U of above-mentioned analog signal form,
l(n+1) carry out analog-digital conversion, generate the reactance voltage value U of digital signal form
l(n+1), middle control module 116 is sent to.
S507. the grid-connected current value i that grid-connected AC/DC reversible transducer exported in the n+2 moment is gathered
l(n+2), wherein, (n+1, n+2) corresponding switch periods T
period.
In an embodiment of the present invention, step S507 can be performed by AD acquisition module.Particularly, AD acquisition module gathers the grid-connected current value i that grid-connected AC/DC reversible transducer exported in the n+2 moment
l(n+2) by the grid-connected current value i exported in the n+2 moment of above-mentioned analog signal form,
l(n+2) carry out analog-digital conversion, generate the grid-connected current value i exported in the n+2 moment of digital signal form
l(n+2), middle control module 116 is sent to.
Step S508, by grid-connected current value i
l(n+1), i
l(n+2), switch periods T
periodwith the reactance voltage value U that the n+2 moment exports
l(n+1) following formula (2) is substituted into, to obtain the second relational expression about grid-connected reactance value L and equivalent series resistance R,
In an embodiment of the present invention, this step S508 can be performed by controller.Particularly, controller is according to the grid-connected current value i of the digital signal form from AD acquisition module received
l(n+1), i
l(n+2) switch periods T
periodwith reactance voltage value U
l(n+1) substitute into formula (1), obtain the second relational expression f about grid-connected reactance value L and equivalent series resistance R
2(R, L).
S509. grid-connected reactance value L and equivalent series resistance R is calculated according to the first relational expression and the second relational expression.
In an embodiment of the present invention, this step S509 can be performed by middle control module 116.Particularly, control module 116 is according to the first relational expression f in step S55
1the second relational expression f in (R, L) and step S508
2(R, L) forms linear equation in two unknowns group, calculates grid-connected reactance value L and equivalent series resistance R.
S510. judge whether grid-connected reactance value L equals reactance model value L0, if not, return and perform step S52, until grid-connected reactance value L equals reactance model value L0.
In an embodiment of the present invention, this step S510 can be performed by controller.Particularly, whether the grid-connected reactance value L calculated in controller determining step S509 is equal with the reactance model value L0 preset in step S501, if unequal, then return step S502, proceed to perform and gather grid-connected current and reactance voltage, calculate new grid-connected reactance value L, until the grid-connected reactance value L calculated equals reactance model value L0, thus realize model inductance value in actual grid-connected inductance and control algolithm and will be consistent as far as possible, ensure the stable operation of grid-connected AC/DC reversible transducer.
Preferably, in step s 5, when being incorporated into the power networks, the energy adopting power stage and the energy-storage system configuring wind power generation is is with the following method come in and gone out:
Adopt WAVELET PACKET DECOMPOSITION method that wind-powered electricity generation fluctuating power is decomposed into low frequency part and HFS, using the desired value of low frequency part as wind-electricity integration, HFS is stabilized by energy-storage system.
Preferably, for the time signal P (t) of given wind power output power, it can be used as primary signal, then the computational methods of ground floor WAVELET PACKET DECOMPOSITION are:
Wherein
for the low frequency coefficient that ground floor decomposes,
for the high frequency coefficient that ground floor decomposes, h
k, g
kbe respectively low pass, high pass filter group;
Then carry out wavelet package reconstruction by low frequency coefficient and high frequency coefficient, obtain the reconstruct of low frequency signal and the high-frequency signal needed, its computational methods are:
Wherein P
1,0t () is the low frequency signal after reconstruct, P
1,1t () is the high-frequency signal after reconstruct,
be respectively low pass and the high pass filter group of reconstruct;
Using low frequency signal as wind-electricity integration desired value, high-frequency signal then compensates with mixed energy storage system, and storage battery compensation power is respectively:
P
B(t)＝P
n,1(t)+…+P
n,m(t)
Wherein n is the WAVELET PACKET DECOMPOSITION number of plies, and m is the frequency band division boundary of time high frequency and most high-frequency signal.
If P
rfor wind energy turbine set installed capacity, P
mfor wind-powered electricity generation fluctuating power, then when
time, mixed energy storage system does not work; When
time, mixed energy storage system is stabilized fluctuating power; If work as
the data point percentage that accounts for total data point be α, the total duration of observation Power Output for Wind Power Field data is T, and can obtain mixed energy storage system run duration is α T.
Obtain batteries to store energy power | P
b(t) | probability density histogram, then adopt its probability density curve of method matching of Gaussian approximation, obtain probability density function, its expression formula is:
Wherein a
n, b
n, c
nfor breadth coefficient;
Energy storage power magnitude average P is calculated according to probability density function
av, its computing formula is:
Wherein a, b are minimum, the maximum of power fluctuation amplitude;
Then stored energy capacitance is:
E＝P
av·t(7)
Wherein t is mixed energy storage system run duration.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, make some equivalent to substitute or obvious modification, and performance or purposes identical, all should be considered as belonging to protection scope of the present invention.
Claims (11)
1. a supervising device for the wind storage system that can be incorporated into the power networks, this supervising device comprises:
Wind power plant monitoring module, for monitoring wind power plant in real time, and predicting the generated output of wind power plant, controlling the power stage of wind power generation;
Energy-storage system monitoring module, can monitor SOC and the DC/DC reversible transducer of battery module in real time, controls the input and output of energy-storage system power;
Bulk power grid contact module, knows the ruuning situation of bulk power grid and relevant schedule information for real-time from bulk power grid regulation and control center;
Parallel control module, connecting or isolation bulk power grid for controlling wind storage system, comprising AD acquisition module and inverter controller;
Load monitoring module, for monitoring the load in wind storage system in real time;
Middle control module, for determining the operation reserve of wind storage system, and sends instruction to each module in above-mentioned supervising device, to perform this operation reserve;
Bus module, for the liaison of the modules of this supervising device.
2. device as claimed in claim 1, it is characterized in that, the input of described AD acquisition module is arranged at the output of grid-connected AC/DC reversible transducer, and described inverter controller is connected to the control end of described grid-connected AC/DC reversible transducer.
3. device as claimed in claim 2, it is characterized in that, described inverter controller is used for arranging reactance model value L0 before grid-connected AC/DC reversible transducer is incorporated into the power networks, described AD acquisition module is used for, after described grid-connected AC/DC reversible transducer runs, gathering the grid-connected current value i that described grid-connected AC/DC reversible transducer exported in n moment and n+1 moment
l(n) and i
l(n+1), wherein, (n, n+1) corresponding switch periods T
period, the reactance voltage value U that exports in the n moment of described grid-connected AC/DC reversible transducer
ln reactance voltage value U that (), described grid-connected AC/DC reversible transducer exported in the n+1 moment
land the grid-connected current value i that exports in the n+2 moment of described grid-connected AC/DC reversible transducer (n+1)
l(n+2), wherein, (n+1, n+2) corresponding switch periods T
period, and analog-to-digital conversion is carried out to described parallel-current value and reactance voltage value, the corresponding digital signals after conversion is sent to described middle control module.
4. device as claimed in claim 3, is characterized in that, the described grid-connected current value i of the digital signal from AD acquisition module that described middle control module will receive
l(n), i
l(n+1), switch periods T
periodwith the reactance voltage value U that the n moment exports
ln () substitutes into following formula (1), to obtain the first relational expression about grid-connected reactance value L and equivalent series resistance R,
The grid-connected current value i of the digital signal from AD acquisition module that described middle control module will receive
l(n+1), i
l(n+2), switch periods T
periodwith the reactance voltage value U that the n+2 moment exports
l(n+1) following formula (2) is substituted into, to obtain the second relational expression about grid-connected reactance value L and equivalent series resistance R,
Described middle control module calculates grid-connected reactance value L and equivalent series resistance R according to described first relational expression and the second relational expression, judge that described grid-connected reactance value L equals described reactance model value L0, if not, then described AD acquisition module and described controller repeat above-mentioned action, until described grid-connected reactance value L equals described reactance model value L0.
5. device as claimed in claim 4, it is characterized in that, described middle control module comprises wind power generation and stored energy capacitance dispensing unit, to come in and go out with the energy of energy-storage system for configuring exerting oneself of wind power plant.
6. device as claimed in claim 5, it is characterized in that, time grid-connected, described wind power generation and stored energy capacitance dispensing unit adopt WAVELET PACKET DECOMPOSITION method that wind-powered electricity generation fluctuating power is decomposed into low frequency part and HFS, using the desired value of low frequency part as wind-electricity integration, HFS is stabilized by energy-storage system.
7. device as claimed in claim 6, it is characterized in that, wind power plant monitoring module at least comprises wind power plant voltage, current detecting equipment, wind-force checkout equipment.
8. device as claimed in claim 7, is characterized in that, the service data of described wind power plant monitoring module Real-time Obtaining wind power plant, and stores data.
9. device as claimed in claim 8, is characterized in that, energy-storage system monitoring module at least comprises accumulator voltage, electric current, SOC acquisition equipment and temperature testing equipment.
10. device as claimed in claim 9, is characterized in that, described SOC obtains equipment and comprises: the first acquisition module, for obtaining the operating state of battery; First determination module, for determining the evaluation method of estimating battery state-of-charge according to the operating state of battery; Computing module, for being in the battery charge state value under different operating states according to evaluation method calculating battery.
11. devices as claimed in claim 10, it is characterized in that, the first determination module comprises: first determines submodule, for when the operating state got is inactive state, determine that evaluation method is the first evaluation method, wherein, the first evaluation method comprises open circuit voltage method; Second determines submodule, for when the operating state got is for returning to form, determines that evaluation method is the second evaluation method; 3rd determines submodule, and for when the operating state got is charging and discharging state, determine that evaluation method is the 3rd evaluation method, wherein, the 3rd evaluation method comprises Kalman filtering method.
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