CN104682408B - A kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage - Google Patents
A kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage Download PDFInfo
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- CN104682408B CN104682408B CN201510097190.8A CN201510097190A CN104682408B CN 104682408 B CN104682408 B CN 104682408B CN 201510097190 A CN201510097190 A CN 201510097190A CN 104682408 B CN104682408 B CN 104682408B
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- 238000004146 energy storage Methods 0.000 title claims abstract description 291
- 238000007726 management method Methods 0.000 title claims abstract description 49
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 119
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 119
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000010248 power generation Methods 0.000 claims description 13
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 abstract 1
- 230000005611 electricity Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000011217 control strategy Methods 0.000 description 5
- 230000001172 regenerating effect Effects 0.000 description 5
- 238000005457 optimization Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
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- 238000004134 energy conservation Methods 0.000 description 1
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- 239000007788 liquid Substances 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
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- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage, the power swing in off-grid operation for the micro-capacitance sensor will be adjusted control by lithium battery energy storage battery device.For guarantee lithium battery energy storage battery device, there is enough capacity, generally require the real-time working condition running according to micro-capacitance sensor, real time execution parameter for other form of power is configured, and the state-of-charge in particular according to lithium battery energy storage battery device and flow battery energy storage device carries out real-time adjustment for the running status of micro-capacitance sensor.The method simple practical that the present invention is carried, adopts different microgrid energy optimal management schemes according to different lithium battery energy storage battery device SOC.Propose a kind of energy management method of the new off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage, solve the problems, such as that the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage for the great majority can not carry out the energy-optimised management of segmentation according to lithium battery energy storage battery device SOC.
Description
Technical field
The invention belongs to microgrid energy management technique field, especially a kind of off-network type wind-light storage containing multiclass energy storage is micro-
The energy management method of electrical network.
Background technology
For alleviating energy crisis, build sustainable energy system, meet the diversity requirement to electric power for the user simultaneously, can
Renewable sources of energy distributed power generation and micro power network system are increasingly taken seriously.Micro-capacitance sensor can promote the distribution of regenerative resource
The off-grid operation that formula generates electricity, improves the utilization rate of regenerative resource.Regenerative resource is that China is long-term using, energy-conservation and environmental protection
The important research field of development in science and technology plan.Micro-capacitance sensor is a kind of new distributed energy organizational form and structure, by by ground
One group of close micro battery of domain, energy storage device are combined with load and coordinate control.
Under normal circumstances, micro-capacitance sensor off-grid operation, the energy-optimised management of micro-capacitance sensor off-network just refers to by coordinating micro- electricity
Distributed power source in net, energy storage device, are managed to the Demand-side of user, the output of micro battery is controlled and
Management, realize according in the case of micro-capacitance sensor real time execution dynamically to load in micro-capacitance sensor in each distributed power source, energy storage device
Carry out optimized distribution of overall importance between unit, make micro-capacitance sensor safe efficient, reliable and economically run.
Economical operation is the important goal that micro-grid system is pursued.In micro-grid system, due to distributed power generation
The species of unit and distributed energy storage unit is various, and the characteristic of every kind of distributed energy again different it is necessary to set up
New energy management Optimized model just adapts to the requirement of micro-capacitance sensor economical operation；Meanwhile, micro- based on regenerative resource
In addition it is also necessary to consider that renewable energy utilization rate such as maximizes at the running optimizatin strategy in network system, with guarantee micro-capacitance sensor efficiently, warp
Ji ground runs.Many scholars propose multiple kinds of energy management method both at home and abroad, and conventional has：1st, according to system electrical parameter and point
Cloth power type carries out objective optimization；2nd, respective according to wind generator system, photovoltaic generating system, batteries to store energy device
Mathematical model and control strategy, realize many power supplys and coordinate to control and microgrid energy optimum management；3rd, energy management is carried out point
Layer scheduling, different dispatch layers realize different energy management strategies.But the state-of-charge of micro-capacitance sensor energy storage device is in energy management
During change, conventional method is not to contacting and carry out depth between microgrid energy management and energy storage device state-of-charge
Enter analysis and concrete plan, therefore, it is difficult to accomplishing the optimal energy management based on energy storage device.
Find by prior art documents, the microgrid energy management multiple-objection optimization (king containing distributed power generation
Newly firm, Ai Qian, xuwei China, Han Peng. microgrid energy management multiple-objection optimization [J] containing distributed power generation. protecting electrical power system
With control, 2009,10:79-83.) it is directed to the operation characteristic of distributed power source, different types of power supply is treated with a certain discrimination, carries out
Multiple-objection optimization, to reach the optimized running of whole micro-capacitance sensor；The research of wind-light storage micro-capacitance sensor many power supplys coordination control strategy (
Good army. wind-light storage micro-capacitance sensor many power supplys coordination control strategy studies [D]. North China Electric Power University, 2013.) in research permanent magnet direct-drive
Wind generator system, photovoltaic generating system, the respective mathematical model of batteries to store energy device and control strategy, and wind-light storage is micro-
It is proposed that many power supplys coordination control strategy of this wind-light storage micro-capacitance sensor on the basis of operation of power networks characteristic, give this coordination control
The framework of system strategy is it is proposed that energy-optimised management strategy based on Multiple Time Scales, and the real-time tune of micro battery and energy storage
Degree strategy；Micro-capacitance sensor isolated network real-time power optimum management (Li Manli, Fu Rong, Yang Jian. micro-capacitance sensor isolated network real-time power optimum management
[J]. micro computer and application, 2014,15:Method 76-79+82.) proposing double-deck coordinated scheduling, with planned dispatching layer and reality
When dispatch layer solving the problems, such as micro-capacitance sensor isolated network real-time power optimum management.Plan layer is pre- based on uncontrollable micro battery power
The dispatching method of the main consideration micro-capacitance sensor economy surveyed.Layer is actual to uncontrollable micro battery on the basis of plan layer in real time
Error between power and pre- power scale is scheduling, then the power of each controlled micro battery of plan layer that scheduling result is added to
On.Above methods and techniques all situations of change not according to energy storage device state-of-charge are entered to energy management method for micro-grid
Row is analysed in depth and concrete plan, only in the structures such as distributed power source, load, energy storage and Multiple Time Scales and energy scheduling
Framework aspect is analyzed, and contacting between microgrid energy management and energy storage device state-of-charge is not analysed in depth
The management scheme detailed with proposition.
For above deficiency, the present invention is true according to the ruuning situation of load, wind generator system and photovoltaic generating system
Determine the stand-by requirement of lithium battery energy storage battery device, then in conjunction with the SOC of lithium battery energy storage battery device, carry out SOC charged in different energy storage
Energy management method for micro-grid under state, makes full use of the regulating power of flow battery energy storage device and photovoltaic generating system
Generating capacity, realizes the energy-optimised management of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage.Through emulation, demonstrate this control
The correctness of system strategy.
Content of the invention
The invention aims to solving above-mentioned the shortcomings of the prior art, provide a kind of energy storage containing multiclass
Off-network type wind-light storage micro-capacitance sensor energy management method, first pass through adjustment photovoltaic generating system and liquid energy-storage device make
Obtain microgrid power fluctuation and be within the range of accommodation of lithium battery energy storage battery device, then utilize the regulation of lithium battery energy storage battery device
Ability is adjusted to the operation of micro-capacitance sensor, makes full use of the generating capacity of the regenerative resource in micro-capacitance sensor.
A kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage, it comprises the steps：
(1) region division is carried out to the SOC of lithium battery energy storage battery device and flow battery energy storage device；
(2) lithium battery energy storage battery device is determined according to the ruuning situation of load, wind generator system and photovoltaic generating system
Spare capacity, then micro-capacitance sensor controller combine current lithium battery energy storage battery device SOC and lithium battery energy storage battery device spare capacity
Calculate the charge-discharge electric power bound of lithium battery energy storage battery device；
(3) output running power bound, the load of micro-capacitance sensor, photovoltaic generating system according to lithium battery energy storage battery device
Power determines the charge-discharge electric power of flow battery energy storage device, using the regulating power of flow battery energy storage device, reduces lithium electricity
The regulation pressure of pond energy storage device, is filled by flow battery energy storage in the case that the spare capacity of lithium battery energy storage battery device is enough
The discharge and recharge put maintains the SOC of flow battery energy storage device to be in normal value, that is, according to lithium battery energy storage battery device and flow battery
Charge-discharge electric power between two energy storage devices of the SOC reasonable distribution of energy storage device；
(4) when flow battery energy storage device cannot meet microgrid power demand, determine photovoltaic generation system in micro-capacitance sensor
The size of exerting oneself of system, makes full use of the generating capacity of photovoltaic generating system；
(5) when the output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot be expired
During sufficient microgrid power demand, determine the size of exerting oneself of wind generator system in micro-capacitance sensor, switching is carried out to wind-driven generator, or
Person carries out switching to load, maintains microgrid power balance, and maintains lithium battery energy storage battery device and flow battery energy storage device
SOC is in normal value.
Further, the described SOC to lithium battery energy storage battery device and flow battery energy storage device of step (1) carry out region
The method dividing is as follows：The SOC of lithium battery energy storage battery device and flow battery energy storage device is respectively divided into 5 regions：
Energy storage charge state 1：Energy storage device can fill can not be put, if power is more more than needed in micro-capacitance sensor, preferentially to energy storage
Device charges.Energy storage device can be charged with peak power in this condition, but can not discharge, the maximum electric discharge of energy storage device
Power is 0；
Energy storage charge state 2：Energy storage device charging is unrestricted, and electric discharge is restricted；
Energy storage charge state 3：Energy storage device discharge and recharge is all unrestricted, and the limit value of the charge power of energy storage device is for it
Big charge power, the limit value of discharge power is its maximum discharge power；
Energy storage charge state 4：Energy storage device electric discharge is unrestricted, and charge power is any limitation as；
Energy storage charge state 5：Energy storage device can be put and can not fill, and energy storage device can be put with peak power in this condition
Electricity, but can not charge, and maximum charge power is set to 0.
Further, the operation power bound of the described lithium battery energy storage battery device of step (2) determines by the following method：Micro-
Power system controller combines current lithium battery energy storage battery device SOC and lithium battery energy storage battery device spare capacity calculates lithium battery energy storage battery device
Charge-discharge electric power bound [PLi,min,PLi,max], PLi,maxFor lithium battery energy storage battery device maximum discharge power, be on the occasion of,
PLi,minFor lithium battery energy storage battery device maximum charge power, it is negative value.PLiFor the charge-discharge electric power of lithium battery energy storage battery device, discharge
Power is on the occasion of charge power is negative value；
Further, filling between step (3) described reasonable distribution lithium battery energy storage battery device and flow battery energy storage device
The method of discharge power is as follows：Micro-capacitance sensor controller judges the region residing for the SOC of lithium battery energy storage battery device, charged positioned at energy storage
State 1 or 2 or 3 or 4 or 5, the charge-discharge electric power of the charge-discharge electric power according to lithium battery energy storage battery device and lithium battery energy storage battery device
Bound determines the implementation strategy of micro-capacitance sensor controller, the different lithium battery energy storage battery device of Different Strategies correspondence and flow battery storage
The charge and discharge control of energy device.
Further, the method for the generating capacity making full use of photovoltaic generating system described in step (4) is as follows：Work as lithium battery
When the discharge power of energy storage device and flow battery energy storage device can not meet microgrid power demand, improve photovoltaic generating system
Output；When the charge power of lithium battery energy storage battery device and flow battery energy storage device can not meet microgrid power demand
When, reduce photovoltaic power generation system output power.
Further, in step (5), when lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system
When output all cannot meet microgrid power demand, if microgrid power has residue, excision wind-driven generator or input
New load, if microgrid power is not enough, puts into wind-driven generator or excision load.
Compared with prior art, the present invention has the effect that：There is provided a kind of off-network type wind-light storage containing multiclass energy storage micro-
The energy management method of electrical network, is carried out energy management for micro-capacitance sensor and is optimized tune using the regulating power of lithium battery energy storage battery device
Degree, during here is adjusted, makes full use of flow battery energy storage device, photovoltaic generating system and wind generator system in micro-capacitance sensor
Output, realize the energy management of off-network type wind-light storage micro-capacitance sensor and the Optimized Operation of multiclass energy storage.
Brief description
Fig. 1 is energy storage device state region division figure；
Fig. 2 is a kind of energy management method block diagram of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 3 is a kind of strategy 1 block diagram of the energy management of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 4 is a kind of strategy 2 block diagram of the energy management of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 5 is a kind of strategy 3 block diagram of the energy management of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 6 is a kind of strategy 4 block diagram of the energy management of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 7 is a kind of strategy 5 block diagram of the energy management of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage；
Fig. 8 a～Fig. 8 c is the simulation result of the different parameters of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage in example
Figure.
Specific embodiment
With reference to embodiment and accompanying drawing, the present invention is further detailed explanation, but embodiments of the present invention and
Protection not limited to this.
The first step：The SOC of lithium battery energy storage battery device and flow battery energy storage device is all divided as shown in Figure 1.
For off-network economical operation scheduling, it is taken as 15 minutes dispatching cycle.
Energy storage charge state 1：Energy storage device can fill can not be put, if power is more more than needed in micro-capacitance sensor, preferentially to energy storage
Device charges.Energy storage device can be charged with peak power in this condition, but can not discharge, the maximum electric discharge of energy storage device
Power is 0.
Energy storage charge state 2：Energy storage device charging is unrestricted, and electric discharge is restricted.
Energy storage charge state 3：Energy storage device discharge and recharge is all unrestricted, and the limit value of the charge power of energy storage device is for it
Big charge power, the limit value of discharge power is its maximum discharge power.
Energy storage charge state 4：Energy storage device electric discharge is unrestricted, and charge power is any limitation as.
Energy storage charge state 5：Energy storage device can be put and can not fill, and energy storage device can be put with peak power in this condition
Electricity, but can not charge, and maximum charge power is set to 0.
Second step：As main power source, its SOC determines the Real-Time Scheduling operating scheme of micro-capacitance sensor to lithium battery energy storage battery device,
As shown in Figure 2.According to the SOC of lithium battery energy storage battery device, off-network type energy management method for micro-grid is divided into three kinds of situations：
1st, when the SOC of lithium battery energy storage battery device is located at energy storage charge state 3, lithium battery energy storage battery device is in and can fill and can put
Interval, then micro-capacitance sensor controller combine current lithium battery energy storage battery device SOC and lithium battery energy storage battery device spare capacity and calculate
Charge-discharge electric power bound [the P of lithium battery energy storage battery deviceLi,min,PLi,max], PLi,maxFor lithium battery energy storage battery device maximum electric discharge work(
Rate, is on the occasion of PLi,minFor lithium battery energy storage battery device maximum charge power, it is negative value.
PLiFor the charge-discharge electric power of lithium battery energy storage battery device, discharge power is on the occasion of charge power is negative value.Work as lithium battery
Energy storage device charge-discharge electric power PLi＞ PLi,max, illustrate that the upper spare capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller is held
Row strategy 1 (i.e. the 3rd step)；Charge-discharge electric power P when lithium battery energy storage battery deviceLi＜ PLi,min, lithium battery energy storage battery device is described
Lower spare capacity is not enough, micro-capacitance sensor controller implementation strategy 2 (i.e. the 4th step)；If the charge-discharge electric power of lithium battery energy storage battery device exists
Normal region [PLi,min,PLi,max] in, micro-capacitance sensor controller implementation strategy 3 (i.e. the 5th step)；
2nd, when the SOC of lithium battery energy storage battery device is located at energy storage charge state 4 or energy storage charge state 5, lithium battery stores up
Can device be run with limiting charge power, micro-capacitance sensor controller combines current lithium battery energy storage battery device SOC and lithium battery energy storage battery dress
Charge-discharge electric power bound [the P purchasing with calculation of capacity lithium battery energy storage battery deviceLi,min,PLi,max], when lithium battery energy storage battery device
Charge-discharge electric power PLi＞ PLi,max, illustrate that the upper spare capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller implementation strategy 1
(i.e. the 3rd step)；Charge-discharge electric power P when lithium battery energy storage battery deviceLi＜ PLi,min, standby appearance under lithium battery energy storage battery device is described
Amount is not enough, micro-capacitance sensor controller implementation strategy 2 (i.e. the 4th step)；If the charge-discharge electric power of lithium battery energy storage battery device is in normal region
[PLi,min,PLi,max] in, micro-capacitance sensor controller implementation strategy 4 (i.e. the 6th step).
3rd, when the SOC of lithium battery energy storage battery device is located at energy storage charge state 1 or energy storage charge state 2, lithium battery stores up
Can device be run with limiting discharge power, micro-capacitance sensor controller combines current lithium battery energy storage battery device SOC and lithium battery energy storage battery dress
Charge-discharge electric power bound [the P purchasing with calculation of capacity lithium battery energy storage battery deviceLi,min,PLi,max], when lithium battery energy storage battery device
Charge-discharge electric power PLi＞ PLi,max, illustrate that the upper spare capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller implementation strategy 1
(i.e. the 3rd step)；Charge-discharge electric power P when lithium battery energy storage battery deviceLi＜ PLi,min, standby appearance under lithium battery energy storage battery device is described
Amount is not enough, micro-capacitance sensor controller implementation strategy 2 (i.e. the 4th step)；If the charge-discharge electric power of lithium battery energy storage battery device is in normal region
[PLi,min,PLi,max] in, micro-capacitance sensor controller implementation strategy 5 (i.e. the 7th step).
3rd step：Micro-capacitance sensor controller implementation strategy 1 is as shown in Figure 3.
1st, micro-capacitance sensor controller judges the charge-discharge electric power P of flow battery energy storage deviceVRWhether meet PVR＜ PVR,max,
PVR,maxFor flow battery energy storage device maximum discharge power, PVR,minFor flow battery energy storage device maximum charge power.If
Meet PVR＜ PVR,max, that is, flow battery energy storage device have further increase discharge power space, then flow battery energy storage device
Increase power output, charge-discharge electric power is：
PVR=Pnet-Ppv-PLi,max
PnetFor net load, deduct wind-power electricity generation acc power equal to the realtime power of load in micro-capacitance sensor；PpvFor photovoltaic generation
Realtime power；
If the charge-discharge electric power of 2 flow battery energy storage devices is unsatisfactory for PVR＜ PVR,max, i.e. flow battery energy storage device
Do not increase the space of discharge power further, then micro-capacitance sensor controller judges whether photovoltaic power generation system output power meets Ppv
＜ Ppv,mppt, Ppv,mpptFor output under maximal power tracing control for the photovoltaic generating system, if it is satisfied, then increasing light
Photovoltaic generating system output, the output of photovoltaic generating system is set as：
Ppv=min (Pnet-PVR-PLi,min,Ppv,mppt)
If 3 photovoltaic power generation system output power are unsatisfactory for Ppv＜ Ppv,mppt, micro-capacitance sensor controller judge in micro-capacitance sensor be
No have the wind-driven generator not putting into and can putting into, if there are then putting into not actuated wind-driven generator, without then according to
Micro-capacitance sensor runs to be needed to excise load, loading P of excisioncutFor：
Pcut=Pnet-Ppv,mppt-PLi,max-PVR
4th step：Micro-capacitance sensor controller implementation strategy 2 is as shown in Figure 4.
1st, whether have, in micro-capacitance sensor controller detection micro-capacitance sensor, the load not put into, if it has, then putting into load.
2nd, without not putting into load, whether micro-capacitance sensor controller judges the charge-discharge electric power of flow battery energy storage device
Meet PVR＞ PVR,min, if it is, i.e. flow battery energy storage device has the space increasing charge power further, then flow battery
Energy storage device increases charge power, and charge-discharge electric power is：
PVR=Pnet-Ppv-PLi,min
If the charge-discharge electric power of 3 flow battery energy storage devices is unsatisfactory for PVR＞ PVR,min, i.e. flow battery energy storage device
Do not increase the space of charge power further, then micro-capacitance sensor controller judges whether photovoltaic power generation system output power is not 0,
If it is, limiting the power output of photovoltaic generating system, the output of photovoltaic generation is：
Ppv=max (Pnet-PVR-PLi,min,0)
If 4 photovoltaic power generation system output power are 0, micro-capacitance sensor controller judges that in micro-capacitance sensor, wind-driven generator is defeated
Go out whether power is not 0, if it is, the wind-driven generator in excision micro-capacitance sensor.
5th step：Micro-capacitance sensor controller implementation strategy 3 is as shown in Figure 5.
1st, whether flow battery energy storage device SOC is in energy storage charge state 4 or energy storage charge state 5, if it is,
Micro-capacitance sensor controller judges whether flow battery energy storage device is in discharge condition, if it is, micro-capacitance sensor controller judges lithium
Whether battery energy storage device can increase charge power, if it is, the charge-discharge electric power of flow battery energy storage device is set to：
PVR=Pnet-Ppv-PLi,min
If flow battery energy storage device is not at discharge condition, whether micro-capacitance sensor controller judges lithium battery energy storage battery device
Charge power can be increased, if it is, the charge-discharge electric power of flow battery energy storage device is set to：
PVR=Pnet-Ppv-PLi,min
If it is not, then whether micro-capacitance sensor controller judges that photovoltaic generating system is exerted oneself is not 0, if it is, photovoltaic is sent out
Electric system output is set to：
Ppv=max (Pnet-PVR-PLi,min,0)
If 0, then micro-capacitance sensor controller judges whether have wind-driven generator to run, if it has, then excising in micro-capacitance sensor
Wind-driven generator.
2nd, whether flow battery energy storage device SOC is in energy storage charge state 1 or energy storage charge state 2, if it is,
Micro-capacitance sensor controller judges whether flow battery energy storage device is in charged state, if it is, micro-capacitance sensor controller judges lithium
Whether battery energy storage device can increase discharge power, if it is, the charge-discharge electric power of flow battery energy storage device is set to：
PVR=Pnet-Ppv-PLi,max
If flow battery energy storage device is not at charged state, micro-capacitance sensor controller judges that lithium battery energy storage battery device is
No can increase discharge power, if it is, the charge-discharge electric power of flow battery energy storage device is set to：
PVR=Pnet-Ppv-PLi,max
If it is not, then micro-capacitance sensor controller judges whether photovoltaic generating system controls output work according to maximal power tracing
Rate, if it is not, then photovoltaic power generation system output power is set to：
Ppv=min (Pnet-PVR-PLi,min,Ppv,mppt)
If photovoltaic generating system controls output according to maximal power tracing, micro-capacitance sensor controller judges micro-capacitance sensor
In whether have wind-driven generator off-duty, if it has, then putting into off-duty wind-driven generator.
6th step：Micro-capacitance sensor controller implementation strategy 4 is as shown in Figure 6.
1st, whether have, in micro-capacitance sensor controller detection micro-capacitance sensor, the load not put into, if it has, then putting into load；
If not having load not put in 2 micro-capacitance sensor, during micro-capacitance sensor controller judges whether lithium battery energy storage battery device discharges,
If it is micro-capacitance sensor controller judges whether flow battery energy storage device has the space of increase charge power further, if
Have, then flow battery energy storage device charge-discharge electric power is set to：
PVR=Pnet-Ppv-PLi,min
If 3 lithium battery energy storage battery devices charge in, micro-capacitance sensor controller judge flow battery energy storage device whether have into
One step increases the space of charge power, if it has, then flow battery energy storage device charge-discharge electric power is set to：
PVR=Pnet-Ppv-PLi,min
If flow battery energy storage device does not increase charge power space further, micro-capacitance sensor controller judges that photovoltaic is sent out
Whether electric system exerts oneself, and if there are exerting oneself, then the output of photovoltaic generating system is set to：
Ppv=max (Pnet-PVR-PLi,min,0)
Wind-driven generator if do not exerted oneself, in excision micro-capacitance sensor.
7th step：Micro-capacitance sensor controller implementation strategy 5 is as shown in Figure 7.
1st, whether have, in micro-capacitance sensor controller detection micro-capacitance sensor, the power supply not put into, if it has, then putting into power supply；
2nd, power supply is not had not put in micro-capacitance sensor, during micro-capacitance sensor controller judges whether lithium battery energy storage battery device charges, such as
Fruit is that micro-capacitance sensor controller judges whether flow battery energy storage device has increase discharge power space further, if it has, then
Flow battery is put energy storage device charge-discharge electric power and is set to：
PVR=Pnet-Ppv-PLi,max
If 3 lithium battery energy storage battery devices electric discharge in, micro-capacitance sensor controller judge flow battery energy storage device whether have into
One step increases discharge power space, if it has, then flow battery energy storage device charge-discharge electric power is set to：
PVR=Pnet-Ppv-PLi,max
If flow battery energy storage device does not increase discharge power space further, micro-capacitance sensor controller judges that photovoltaic is sent out
Whether electric system has the space increasing output, if it has, the output of photovoltaic generating system is set to：
Ppv=min (Pnet-PVR-PLi,min,Ppv,mppt)
If photovoltaic generating system does not increase the space of output, micro-capacitance sensor controller determines whether not actuated
Wind-driven generator, if it has, then start wind-driven generator, if it is not, excision load, excision loading be：
Pcut=Pnet-Ppv,mppt-PLi,max-PVR
In the energy management method emulation to a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage, to following operating mode
Emulation be introduced：
Operating mode：The SOC of lithium battery energy storage battery device was in normal range, and lithium battery energy storage battery device SOC is 0.5, liquor stream electricity
Pond energy storage device SOC is 0.5, and flow battery energy storage device maximum discharge power is 5kW, and photovoltaic power generation system output power is
10kW, photovoltaic generating system peak power output is 10kW, wind driven generator output power 2kW, and load is 12kW, continues to increase
Micro-grid load, rises to 17kW, 22kW from 12kW, and this emulation 10s represents 1 hour, then carries out simulation analysis.
Fig. 8 a, 8b, 8c are simulation result.Micro-capacitance sensor frequency and micro-capacitance sensor voltage perunit value, table in Fig. 8 b is represented in Fig. 8 a
Show blower fan #1 output, blower fan #2 output, photovoltaic power generation system output power, load power, secondary load power, figure
Lithium battery energy storage battery device charge-discharge electric power, lithium battery energy storage battery device SOC, flow battery energy storage device charge and discharge electric work is represented in 8c
Rate, flow battery energy storage device SOC.
Emulation start when, load be powered by photovoltaic generating system and wind generator system, lithium battery energy storage battery device and
Flow battery energy storage device output is 0.In 5s, load is changed into 17kW from 12kW, in order to maintain the stable fortune of micro-capacitance sensor
OK, flow battery energy storage device quickly exports 5kW power and load is powered, in the process flow battery energy storage device
SOC reduces always.In 10s, load is further added by 22kW by 17kW, because flow battery energy storage device EIAJ is 5kW,
Discharge power can not have been increased again, in order to maintain micro-capacitance sensor stable operation, lithium battery energy storage battery device quickly export 5kW power to
Load is powered.In 12.8s, flow battery energy storage device SOC reaches lower limit, no longer outwards power, then load completely by
Lithium battery energy storage battery device is powered, and in about 17s, lithium battery energy storage battery device SOC also reaches lower limit, now in order to remain micro-
Power grid operation, will excise secondary load, now need lithium battery energy storage battery device and flow battery energy storage device are filled
Electricity.
Above to a kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage provided by the present invention
It is described in detail, specific case used herein is set forth to the principle of the present invention and embodiment, above reality
The explanation applying example is only intended to help and understands the method for the present invention and its core concept；General technology simultaneously for this area
Personnel, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this theory
Bright book content should not be construed as limitation of the present invention.
Claims (6)
1. a kind of energy management method of the off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage is it is characterised in that include following walking
Suddenly：
(1) region division is carried out to the SOC of lithium battery energy storage battery device and flow battery energy storage device；
(2) the standby of lithium battery energy storage battery device is determined according to the ruuning situation of load, wind generator system and photovoltaic generating system
With capacity, then micro-capacitance sensor controller combines SOC and the lithium battery energy storage battery device spare capacity meter of current lithium battery energy storage battery device
Calculate the charge-discharge electric power bound of lithium battery energy storage battery device；
(3) output running power bound, the load of micro-capacitance sensor, photovoltaic generating system according to lithium battery energy storage battery device
Determine the charge-discharge electric power of flow battery energy storage device, using the regulating power of flow battery energy storage device, reduce lithium battery storage
The regulation pressure of energy device, passes through flow battery energy storage device in the case that the spare capacity of lithium battery energy storage battery device is enough
Discharge and recharge maintains the SOC of flow battery energy storage device to be in normal value, that is, according to lithium battery energy storage battery device and flow battery energy storage
Charge-discharge electric power between two energy storage devices of the SOC reasonable distribution of device；
(4) when flow battery energy storage device cannot meet microgrid power demand, determine photovoltaic generating system in micro-capacitance sensor
Exert oneself size, make full use of the generating capacity of photovoltaic generating system；
(5) when the output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot meet micro-
During grid power demand, determine the size of exerting oneself of wind generator system in micro-capacitance sensor, switching is carried out to wind-driven generator, or right
Load carries out switching, maintains microgrid power balance, and maintains lithium battery energy storage battery device and the SOC of flow battery energy storage device to exist
Normal value.
2. the energy management method of a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, its
It is characterised by：The side carrying out region division of the described SOC to lithium battery energy storage battery device and flow battery energy storage device of step (1)
Method is as follows：The SOC of lithium battery energy storage battery device and flow battery energy storage device is respectively divided into 5 regions：
Energy storage charge state 1：Energy storage device can fill can not be put, if power is more more than needed in micro-capacitance sensor, preferentially to energy storage device
Charge, energy storage device can be charged with peak power in this condition, but can not discharge, the maximum discharge power of energy storage device
For 0；
Energy storage charge state 2：Energy storage device charging is unrestricted, and electric discharge is restricted；
Energy storage charge state 3：Energy storage device discharge and recharge is all unrestricted, and the limit value of the charge power of energy storage device fills for its maximum
Electrical power, the limit value of discharge power is its maximum discharge power；
Energy storage charge state 4：Energy storage device electric discharge is unrestricted, and charge power is any limitation as；
Energy storage charge state 5：Energy storage device can be put and can not fill, and energy storage device can be discharged with peak power in this condition, but
It is to charge, maximum charge power is set to 0.
3. the energy management method of a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, its
It is characterised by：The operation power bound of the described lithium battery energy storage battery device of step (2) determines by the following method：Micro-capacitance sensor controls
Device combines the SOC of current lithium battery energy storage battery device and lithium battery energy storage battery device spare capacity calculates the charge and discharge of lithium battery energy storage battery device
Electrical power bound [PLi,min,PLi,max], PLi,maxFor lithium battery energy storage battery device maximum discharge power, it is on the occasion of PLi,minFor lithium
Battery energy storage device maximum charge power, is negative value, PLiFor the charge-discharge electric power of lithium battery energy storage battery device, discharge power is just
Value, charge power is negative value.
4. the energy management method of a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, its
It is characterised by：Charge-discharge electric power between step (3) described reasonable distribution lithium battery energy storage battery device and flow battery energy storage device
Method as follows：Micro-capacitance sensor controller judges the region residing for the SOC of lithium battery energy storage battery device, positioned at energy storage charge state 1 or 2
Or 3 or 4 or 5, the charge-discharge electric power bound of the charge-discharge electric power according to lithium battery energy storage battery device and lithium battery energy storage battery device is true
Determine the implementation strategy of micro-capacitance sensor controller, the different lithium battery energy storage battery devices of Different Strategies correspondence and flow battery energy storage device
Charge and discharge control.
5. the energy management method of a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, its
It is characterised by：The method of the generating capacity making full use of photovoltaic generating system described in step (4) is as follows：When lithium battery energy storage battery device
When can not meet microgrid power demand with the discharge power of flow battery energy storage device, improve photovoltaic generating system output work
Rate；When the charge power of lithium battery energy storage battery device and flow battery energy storage device can not meet microgrid power demand, reduce
Photovoltaic power generation system output power.
6. the energy management method of a kind of off-network type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, its
It is characterised by：In step (5), when the output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system
When all cannot meet microgrid power demand, if microgrid power has the new load of residue, excision wind-driven generator or input,
If microgrid power is not enough, put into wind-driven generator or excision load.
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| CN110535119B (en) * | 2019-08-09 | 2021-05-18 | 国网江苏省电力有限公司镇江供电分公司 | Energy storage power station time interval electric quantity rolling control method adaptive to power grid peak regulation and frequency modulation |
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