CN104682408A - Energy management method of off-grid type scenery storage micro-grid comprising various energy storage units - Google Patents
Energy management method of off-grid type scenery storage micro-grid comprising various energy storage units Download PDFInfo
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- CN104682408A CN104682408A CN201510097190.8A CN201510097190A CN104682408A CN 104682408 A CN104682408 A CN 104682408A CN 201510097190 A CN201510097190 A CN 201510097190A CN 104682408 A CN104682408 A CN 104682408A
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- 238000004146 energy storage Methods 0.000 title claims abstract description 295
- 238000007726 management method Methods 0.000 title claims abstract description 47
- 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 17
- 238000010248 power generation Methods 0.000 claims description 18
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 238000007600 charging Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 abstract description 7
- 238000011217 control strategy Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000001172 regenerating effect Effects 0.000 description 6
- 238000011160 research Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
Classifications
-
- 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
-
- 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
-
- 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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an energy management method of an off-grid type scenery storage micro-grid comprising various energy storage units. The power fluctuation of the micro-grid during the off-grid running process is adjusted and controlled by a lithium battery energy storage device. In order to ensure that the lithium battery energy storage device has enough capacity, real-time running parameters of other power forms are set according to the real-time working condition of the micro-grid during running, particularly, the running state of the micro-grid is adjusted in real time according to the charge states of the lithium battery energy storage device and a flow battery energy storage device. The method provided by the invention is simple and practical, and different micro-grid energy optimization management plans are adopted according to the SOC of different lithium battery energy storage devices. A novel energy management method of the off-grid type scenery storage micro-grid comprising various energy storage units is provided, and thus the problem that the energy optimization management by stages of most off-grid type scenery storage micro-grids comprising various energy storage units can not realized according to the SOC of the lithium battery energy storage devices is solved.
Description
Technical field
The invention belongs to microgrid energy administrative skill field, especially a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage.
Background technology
In order to alleviating energy crisis, build sustainable energy system, meet the diversity requirement of user to electric power, regenerative resource distributed power generation and micro power network system more and more come into one's own simultaneously.Micro-capacitance sensor can promote the distributed power generation of regenerative resource from network operation, improve the utilance of regenerative resource.The utilization of regenerative resource, energy saving standard are the important research field of the long-term development in science and technology plan of China.Micro-capacitance sensor is a kind of new distributed energy organizational form and structure, carries out cooperation control by close for region one group of micro battery, energy storage device being combined with load.
Under normal circumstances, micro-capacitance sensor is from network operation, micro-capacitance sensor just refers to distributed power source, the energy storage device by coordinating in micro-capacitance sensor from network energy optimum management, the Demand-side of user is managed, control and management is carried out to the power output of micro battery, realizing distributing according to dynamically carrying out optimization of overall importance to load in micro-capacitance sensor between each distributed power source, energy storage device unit in micro-capacitance sensor real time execution situation, making micro-capacitance sensor safety, efficiently, reliably and economically running.
Economical operation is the important goal that micro-grid system is pursued.In micro-grid system, of a great variety due to distributed generation unit and distributed energy storage unit, and also the characteristic of often kind of distributed energy is different again, must set up the requirement that new energy management Optimized model could adapt to micro-capacitance sensor economical operation; Meanwhile, in the micro-grid system based on regenerative resource, also need to consider the running optimizatin strategies such as renewable energy utilization rate maximization, to guarantee that micro-capacitance sensor efficiently, economically runs.Domestic and international many scholars propose multiple kinds of energy management method, and conventional has: 1, carry out objective optimization according to system electrical parameter and distributed electrical source category; 2, according to the respective Mathematical Modeling of wind generator system, photovoltaic generating system, batteries to store energy device and control strategy, many power supplys cooperation control and microgrid energy optimum management is realized; 3, carry out layering scheduling to energy management, different dispatch layer realizes different energy management strategies.But the state-of-charge of micro-capacitance sensor energy storage device changes in energy management process, conventional method is not analysed in depth and concrete plan contacting between microgrid energy management and energy storage device state-of-charge, is therefore difficult to accomplish that the optimal energy based on energy storage device manages.
Find by prior art documents, containing the microgrid energy management multiple-objection optimization (Wang Xingang of distributed power generation, Ai Qian, xuwei China, Han Peng. containing microgrid energy management multiple-objection optimization [J] of distributed power generation. protecting electrical power system and control, 2009,10:79-83.) for the operation characteristic of distributed power source, dissimilar 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 (Zhang Jiajun. wind-light storage micro-capacitance sensor many power supplys coordination control strategy research [D]. North China Electric Power University, 2013.) at research permanent magnet direct-drive wind generator system, photovoltaic generating system, the respective Mathematical Modeling of batteries to store energy device and control strategy, and on the basis of wind-light storage micro-capacitance sensor operation characteristic, propose many power supplys coordination control strategy of this wind-light storage micro-capacitance sensor, give the framework of this coordination control strategy, propose the energy-optimised management strategy based on Multiple Time Scales, and the Real-Time Scheduling Police of micro battery and energy storage, micro-capacitance sensor lonely net real-time power optimum management (Li Manli, Fu Rong, Yang Jian. lonely net real-time power optimum management [J] of micro-capacitance sensor. microcomputer and application, 2014,15:76-79+82.) propose the method for double-deck coordinated scheduling, solve the problem of micro-capacitance sensor lonely net real-time power optimum management with planned dispatching layer and Real-Time Scheduling layer.Plan layer is the dispatching method of the main consideration micro-capacitance sensor economy based on uncontrollable micro battery power prediction.Real-time layer dispatches the error between uncontrollable micro battery actual power and predicted power on the basis of plan layer, then scheduling result be added on the power of each controlled micro battery of plan layer.Above Method and Technology does not all have to analyse in depth and concrete plan energy management method for micro-grid according to the situation of change of energy storage device state-of-charge, only analyze in the structures such as distributed power source, load, energy storage and in Multiple Time Scales and energy scheduling architecture, detailed management scheme is not analysed in depth and proposed to contacting between microgrid energy management with energy storage device state-of-charge.
For above deficiency, the present invention is according to the stand-by requirement of the ruuning situation determination lithium battery energy storage battery device of load, wind generator system and photovoltaic generating system, then in conjunction with the SOC of lithium battery energy storage battery device, carry out the energy management method for micro-grid of SOC under different energy storage charge state, make full use of the regulating power of flow battery energy storage device and the generating capacity of photovoltaic generating system, realize the energy-optimised management from net type wind-light storage micro-capacitance sensor containing multiclass energy storage.Through emulation, demonstrate the correctness of this control strategy.
Summary of the invention
The object of the invention is to solve above-mentioned the deficiencies in the prior art part, a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage is provided, first microgrid power fluctuation is made to be within the adjustable range of lithium battery energy storage battery device by adjustment photovoltaic generating system and liquid energy-storage device, then utilize the operation of the regulating power of lithium battery energy storage battery device to micro-capacitance sensor to regulate, make full use of the generating capacity of the regenerative resource in micro-capacitance sensor.
Containing the energy management method from net type wind-light storage micro-capacitance sensor of multiclass energy storage, it comprises the steps:
(1) Region dividing is carried out to the SOC of lithium battery energy storage battery device and flow battery energy storage device;
(2) according to the reserve capacity of the ruuning situation determination lithium battery energy storage battery device of load, wind generator system and photovoltaic generating system, then micro-capacitance sensor controller calculates the charge-discharge electric power bound of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity;
(3) according to the operate power bound of lithium battery energy storage battery device, the load of micro-capacitance sensor, the charge-discharge electric power of the power output determination flow battery energy storage device of photovoltaic generating system, utilize the regulating power of flow battery energy storage device, reduce the adjustment pressure of lithium battery energy storage battery device, the SOC of the discharge and recharge maintenance medium galvanic battery energy storage device when the reserve capacity of lithium battery energy storage battery device is enough by flow battery energy storage device is in normal value, namely according to the charge-discharge electric power between lithium battery energy storage battery device and SOC reasonable distribution two energy storage devices of flow battery energy storage device,
(4) when flow battery energy storage device cannot meet microgrid power demand, determine the size of exerting oneself of photovoltaic generating system in micro-capacitance sensor, make full use of the generating capacity of photovoltaic generating system;
(5) when the power output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot meet 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 switching is carried out to load, maintenance microgrid power balances, and the SOC maintaining lithium battery energy storage battery device and flow battery energy storage device is at normal value.
Further, the method for carrying out Region dividing of the described SOC to lithium battery energy storage battery device and flow battery energy storage device of step (1) is as follows: the SOC of lithium battery energy storage battery device and flow battery energy storage device is divided into 5 regions respectively:
Energy storage charge state 1: energy storage device can fill can not be put, if power is comparatively more than needed in micro-capacitance sensor, then preferentially to charge to energy storage device.Energy storage device can charge with maximum power in this condition, but can not discharge, and the maximum discharge power of energy storage device 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, the limit value of the charge power of energy storage device is its maximum charge power, and 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 limited;
Energy storage charge state 5: energy storage device can be put and can not fill, and energy storage device can discharge with maximum power in this condition, but can not charge, and maximum charge power is set to 0.
Further, the operate power bound of step (2) described lithium battery energy storage battery device is determined by the following method: micro-capacitance sensor controller calculates the charge-discharge electric power bound [P of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity
li, min, P
li, max], P
li, maxfor the maximum discharge power of lithium battery energy storage battery device, on the occasion of, P
li, minfor lithium battery energy storage battery device maximum charge power, it is negative value.P
lifor the charge-discharge electric power of lithium battery energy storage battery device, discharge power be on the occasion of, charge power is negative value;
Further, the method of the charge-discharge electric power between step (3) described reasonable distribution lithium battery energy storage battery device and flow battery energy storage device is as follows: micro-capacitance sensor controller judges the region residing for the SOC of lithium battery energy storage battery device, be positioned at energy storage charge state 1 or 2 or 3 or 4 or 5, according to the implementation strategy of the charge-discharge electric power of lithium battery energy storage battery device and the charge-discharge electric power bound determination micro-capacitance sensor controller of lithium battery energy storage battery device, the charge and discharge control of the corresponding different lithium battery energy storage battery device of Different Strategies and flow battery energy storage device.
Further, the method making full use of the generating capacity of photovoltaic generating system described in step (4) is as follows: when the discharge power of lithium battery energy storage battery device and flow battery energy storage device can not meet microgrid power demand, improve photovoltaic power generation system output power; 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.
Further, in step (5), when the power output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot meet microgrid power demand, if microgrid power has residue, then excise wind-driven generator or drop into new load, if microgrid power is not enough, then drop into wind-driven generator or excision load.
Compared with prior art, the present invention has following effect: provide a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage, the regulating power of lithium battery energy storage battery device is utilized to carry out energy management and Optimized Operation for micro-capacitance sensor, in this adjustment process, make full use of the power output of flow battery energy storage device, photovoltaic generating system and wind generator system in micro-capacitance sensor, realize the energy management from net type wind-light storage micro-capacitance sensor and the Optimized Operation of multiclass energy storage.
Accompanying drawing explanation
Fig. 1 is energy storage device state region division figure;
Fig. 2 is a kind of energy management method block diagram from net 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 from net 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 from net 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 from net 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 from net 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 from net type wind-light storage micro-capacitance sensor containing multiclass energy storage;
Fig. 8 a ~ Fig. 8 c is the simulation result figure containing the different parameters from net type wind-light storage micro-capacitance sensor of multiclass energy storage in example.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is further detailed explanation, but embodiments of the present invention and protection are not limited thereto.
The first step: the SOC of lithium battery energy storage battery device and flow battery energy storage device is all divided by shown in Fig. 1.
For from net economical operation scheduling, be taken as 15 minutes dispatching cycle.
Energy storage charge state 1: energy storage device can fill can not be put, if power is comparatively more than needed in micro-capacitance sensor, then preferentially to charge to energy storage device.Energy storage device can charge with maximum power in this condition, but can not discharge, and the maximum discharge power of energy storage device 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, the limit value of the charge power of energy storage device is its maximum charge power, and 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 limited.
Energy storage charge state 5: energy storage device can be put and can not fill, and energy storage device can discharge with maximum power in this condition, but can not charge, and maximum charge power is set to 0.
Second step: lithium battery energy storage battery device is as main power source, and its SOC determines the Real-Time Scheduling operating scheme of micro-capacitance sensor, as shown in Figure 2.According to the SOC of lithium battery energy storage battery device, be divided into three kinds of situations from net type energy management method for micro-grid:
1, when the SOC of lithium battery energy storage battery device is positioned at energy storage charge state 3, lithium battery energy storage battery device is in the interval can filled and can put, and then micro-capacitance sensor controller calculates the charge-discharge electric power bound [P of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity
li, min, P
li, max], P
li, maxfor the maximum discharge power of lithium battery energy storage battery device, on the occasion of, P
li, minfor lithium battery energy storage battery device maximum charge power, it is negative value.
P
lifor the charge-discharge electric power of lithium battery energy storage battery device, discharge power be on the occasion of, charge power is negative value.As lithium battery energy storage battery device charge-discharge electric power P
li> P
li, max, illustrate that the upper reserve capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller implementation strategy 1 (i.e. the 3rd step); As the charge-discharge electric power P of lithium battery energy storage battery device
li< P
li, min, illustrate that the lower reserve capacity of lithium battery energy storage battery device 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 at normal region [P
li, min, P
li, max] in, micro-capacitance sensor controller implementation strategy 3 (i.e. the 5th step);
2, when the SOC of lithium battery energy storage battery device is positioned at energy storage charge state 4 or energy storage charge state 5, lithium battery energy storage battery device runs to limit charge power, and micro-capacitance sensor controller calculates the charge-discharge electric power bound [P of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity
li, min, P
li, max], as lithium battery energy storage battery device charge-discharge electric power P
li> P
li, max, illustrate that the upper reserve capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller implementation strategy 1 (i.e. the 3rd step); As the charge-discharge electric power P of lithium battery energy storage battery device
li< P
li, min, illustrate that the lower reserve capacity of lithium battery energy storage battery device 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 at normal region [P
li, min, P
li, max] in, micro-capacitance sensor controller implementation strategy 4 (i.e. the 6th step).
3, when the SOC of lithium battery energy storage battery device is positioned at energy storage charge state 1 or energy storage charge state 2, lithium battery energy storage battery device runs to limit discharge power, and micro-capacitance sensor controller calculates the charge-discharge electric power bound [P of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity
li, min, P
li, max], as lithium battery energy storage battery device charge-discharge electric power P
li> P
li, max, illustrate that the upper reserve capacity of lithium battery energy storage battery device is not enough, micro-capacitance sensor controller implementation strategy 1 (i.e. the 3rd step); As the charge-discharge electric power P of lithium battery energy storage battery device
li< P
li, min, illustrate that the lower reserve capacity of lithium battery energy storage battery device 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 at normal region [P
li, min, P
li, max] in, micro-capacitance sensor controller implementation strategy 5 (i.e. the 7th step).
3rd step: micro-capacitance sensor controller implementation strategy 1 as shown in Figure 3.
1, micro-capacitance sensor controller judges the charge-discharge electric power P of flow battery energy storage device
vRwhether meet P
vR< P
vR, max, P
vR, maxfor the maximum discharge power of flow battery energy storage device, P
vR, minfor flow battery energy storage device maximum charge power.If meet P
vR< P
vR, max, namely flow battery energy storage device has the space increasing discharge power further, then flow battery energy storage device increasing power exports, and charge-discharge electric power is:
P
VR＝P
net-P
pv-P
Li,max
P
netfor net load, equal the realtime power of load in micro-capacitance sensor and deduct wind power generation acc power; P
pvfor the realtime power of photovoltaic generation;
If the charge-discharge electric power of 2 flow battery energy storage devices does not meet P
vR< P
vR, max, namely flow battery energy storage device does not increase the space of discharge power further, then micro-capacitance sensor controller judges whether photovoltaic power generation system output power meets P
pv< P
pv, mppt, P
pv, mpptfor the power output of photovoltaic generating system under maximal power tracing controls, if met, then increase photovoltaic power generation system output power, the power output of photovoltaic generating system is set as:
P
pv＝min(P
net-P
VR-P
Li,min,P
pv,mppt)
If 3 photovoltaic power generation system output power do not meet P
pv< P
pv, mppt, whether micro-capacitance sensor controller judges to have in micro-capacitance sensor and does not drop into and the wind-driven generator that can drop into, if had, drops into and does not start wind-driven generator, if not, runs need to excise load, the load P of excision according to micro-capacitance sensor
cutfor:
P
cut＝P
net-P
pv,mppt-P
Li,max-P
VR
4th step: micro-capacitance sensor controller implementation strategy 2 as shown in Figure 4.
1, micro-capacitance sensor controller detects in micro-capacitance sensor whether have the load do not dropped into, if had, then drops into load.
If 2 do not drop into load, micro-capacitance sensor controller judges whether the charge-discharge electric power of flow battery energy storage device meets P
vR> P
vR, min, if so, namely 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:
P
VR＝P
net-P
pv-P
Li,min
If the charge-discharge electric power of 3 flow battery energy storage devices does not meet P
vR> P
vR, min, namely flow battery energy storage device does not increase the space of charge power further, then micro-capacitance sensor controller judges whether photovoltaic power generation system output power is not 0, and if so, then limit the power stage of photovoltaic generating system, the power output of photovoltaic generation is:
P
pv＝max(P
net-P
VR-P
Li,min,0)
If 4 photovoltaic power generation system output power are 0, then micro-capacitance sensor controller judges in micro-capacitance sensor, whether wind driven generator output power is not 0, if so, then excises the wind-driven generator in micro-capacitance sensor.
5th step: micro-capacitance sensor controller implementation strategy 3 as shown in Figure 5.
1, whether flow battery energy storage device SOC is in energy storage charge state 4 or energy storage charge state 5, if, then micro-capacitance sensor controller judges whether flow battery energy storage device is in discharge condition, if, then micro-capacitance sensor controller judges whether lithium battery energy storage battery device can increase charge power, if so, then the charge-discharge electric power of flow battery energy storage device is set to:
P
VR＝P
net-P
pv-P
Li,min
If flow battery energy storage device is not in discharge condition, micro-capacitance sensor controller judges whether lithium battery energy storage battery device can increase charge power, and if so, then the charge-discharge electric power of flow battery energy storage device is set to:
P
VR＝P
net-P
pv-P
Li,min
If not, then whether micro-capacitance sensor controller judges that photovoltaic generating system is exerted oneself is not 0, and if so, then photovoltaic power generation system output power is set to:
P
pv＝max(P
net-P
VR-P
Li,min,0)
If be 0, then micro-capacitance sensor controller judges whether have wind-driven generator to run in micro-capacitance sensor, if had, then to excise wind-driven generator.
2, whether flow battery energy storage device SOC is in energy storage charge state 1 or energy storage charge state 2, if, then micro-capacitance sensor controller judges whether flow battery energy storage device is in charged state, if, then micro-capacitance sensor controller judges whether lithium battery energy storage battery device can increase discharge power, if so, then the charge-discharge electric power of flow battery energy storage device is set to:
P
VR＝P
net-P
pv-P
Li,max
If flow battery energy storage device is not in charged state, then micro-capacitance sensor controller judges whether lithium battery energy storage battery device can increase discharge power, and if so, then the charge-discharge electric power of flow battery energy storage device is set to:
P
VR＝P
net-P
pv-P
Li,max
If not, then micro-capacitance sensor controller judges whether photovoltaic generating system controls power output according to maximal power tracing, if not, then photovoltaic power generation system output power is set to:
P
pv＝min(P
net-P
VR-P
Li,min,P
pv,mppt)
If photovoltaic generating system controls power output according to maximal power tracing, then micro-capacitance sensor controller judges whether there is wind-driven generator off-duty in micro-capacitance sensor, if had, then drops into off-duty wind-driven generator.
6th step: micro-capacitance sensor controller implementation strategy 4 as shown in Figure 6.
1, micro-capacitance sensor controller detects in micro-capacitance sensor whether have the load do not dropped into, if had, then drops into load;
If do not have load not drop 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 increasing charge power further, if had, then flow battery energy storage device charge-discharge electric power is set to:
P
VR＝P
net-P
pv-P
Li,min
If in 3 lithium battery energy storage battery device chargings, then micro-capacitance sensor controller judges whether flow battery energy storage device has the space increasing charge power further, if had, then flow battery energy storage device charge-discharge electric power is set to:
P
VR＝P
net-P
pv-P
Li,min
If flow battery energy storage device does not increase charge power space further, then micro-capacitance sensor controller judges whether photovoltaic generating system exerts oneself, if exerted oneself, then the power output of photovoltaic generating system is set to:
P
pv＝max(P
net-P
VR-P
Li,min,0)
If do not exerted oneself, then excise the wind-driven generator in micro-capacitance sensor.
7th step: micro-capacitance sensor controller implementation strategy 5 as shown in Figure 7.
1, micro-capacitance sensor controller detects in micro-capacitance sensor whether have the power supply do not dropped into, if had, then drops into power supply;
2, power supply is not had not drop in micro-capacitance sensor, during micro-capacitance sensor controller judges whether lithium battery energy storage battery device charges, if it is micro-capacitance sensor controller judges whether flow battery energy storage device has and further increases discharge power space, if had, then flow battery is put energy storage device charge-discharge electric power and is set to:
P
VR＝P
net-P
pv-P
Li,max
If in 3 lithium battery energy storage battery device electric discharges, then micro-capacitance sensor controller judges whether flow battery energy storage device has increase discharge power space further, if had, then flow battery energy storage device charge-discharge electric power is set to:
P
VR＝P
net-P
pv-P
Li,max
If flow battery energy storage device does not increase discharge power space further, then micro-capacitance sensor controller judges whether photovoltaic generating system has the space increasing power output, if had, the power output of photovoltaic generating system is set to:
P
pv＝min(P
net-P
VR-P
Li,min,P
pv,mppt)
If photovoltaic generating system does not increase the space of power output, then micro-capacitance sensor controller judges whether if had, then to start the wind-driven generator that do not start wind-driven generator, if do not had, then excise load, and excision load is:
P
cut＝P
net-P
pv,mppt-P
Li,max-P
VR
When to a kind of emulation of the energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage, the emulation of following operating mode is introduced:
Operating mode: the SOC of lithium battery energy storage battery device is in normal range (NR), lithium battery energy storage battery device SOC is 0.5, and flow battery energy storage device SOC is 0.5, and the maximum discharge power of flow battery energy storage device is 5kW, 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, continue to increase micro-grid load, rise to 17kW, 22kW from 12kW, 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 is represented in Fig. 8 a, represent blower fan #1 power output, blower fan #2 power output, photovoltaic power generation system output power, load power, secondary load power in Fig. 8 b, in Fig. 8 c, represent lithium battery energy storage battery device charge-discharge electric power, lithium battery energy storage battery device SOC, flow battery energy storage device charge-discharge electric power, flow battery energy storage device SOC.
When emulation starts, load is powered by photovoltaic generating system and wind generator system, and lithium battery energy storage battery device and flow battery energy storage device power output are 0.When 5s, load becomes 17kW from 12kW, and in order to maintain the stable operation of micro-capacitance sensor, flow battery energy storage device exports 5kW power fast and powers to load, and flow battery energy storage device SOC reduces always in the process.When 10s, load is increased to 22kW again by 17kW, because flow battery energy storage device maximum output is 5kW, can not increase discharge power again, and in order to maintain micro-capacitance sensor stable operation, lithium battery energy storage battery device exports 5kW power fast and powers to load.At about 12.8s, flow battery energy storage device SOC reaches lower limit, no longer outwards power, then load is powered by lithium battery energy storage battery device completely, when about 17s, lithium battery energy storage battery device SOC also reaches lower limit, now in order to maintain micro-capacitance sensor stable operation, secondary load will be excised, now need to charge to lithium battery energy storage battery device and flow battery energy storage device.
Above a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage provided by the present invention is described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (6)
1., containing the energy management method from net type wind-light storage micro-capacitance sensor of multiclass energy storage, it is characterized in that comprising the steps:
(1) Region dividing is carried out to the SOC of lithium battery energy storage battery device and flow battery energy storage device;
(2) according to the reserve capacity of the ruuning situation determination lithium battery energy storage battery device of load, wind generator system and photovoltaic generating system, then micro-capacitance sensor controller calculates the charge-discharge electric power bound of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity;
(3) according to the operate power bound of lithium battery energy storage battery device, the load of micro-capacitance sensor, the charge-discharge electric power of the power output determination flow battery energy storage device of photovoltaic generating system, utilize the regulating power of flow battery energy storage device, reduce the adjustment pressure of lithium battery energy storage battery device, the SOC of the discharge and recharge maintenance medium galvanic battery energy storage device when the reserve capacity of lithium battery energy storage battery device is enough by flow battery energy storage device is in normal value, namely according to the charge-discharge electric power between lithium battery energy storage battery device and SOC reasonable distribution two energy storage devices of flow battery energy storage device,
(4) when flow battery energy storage device cannot meet microgrid power demand, determine the size of exerting oneself of photovoltaic generating system in micro-capacitance sensor, make full use of the generating capacity of photovoltaic generating system;
(5) when the power output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot meet 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 switching is carried out to load, maintenance microgrid power balances, and the SOC maintaining lithium battery energy storage battery device and flow battery energy storage device is at normal value.
2. a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, is characterized in that: the method for carrying out Region dividing of the described SOC to lithium battery energy storage battery device and flow battery energy storage device of step (1) is as follows: the SOC of lithium battery energy storage battery device and flow battery energy storage device is divided into 5 regions respectively:
Energy storage charge state 1: energy storage device can fill can not be put, if power is comparatively more than needed in micro-capacitance sensor, then preferentially to charge to energy storage device.Energy storage device can charge with maximum power in this condition, but can not discharge, and the maximum discharge power of energy storage device 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, the limit value of the charge power of energy storage device is its maximum charge power, and 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 limited;
Energy storage charge state 5: energy storage device can be put and can not fill, and energy storage device can discharge with maximum power in this condition, but can not charge, and maximum charge power is set to 0.
3. a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, is characterized in that: the operate power bound of step (2) described lithium battery energy storage battery device is determined by the following method: micro-capacitance sensor controller calculates the charge-discharge electric power bound [P of lithium battery energy storage battery device in conjunction with current lithium battery energy storage battery device SOC and lithium battery energy storage battery device reserve capacity
li, min, P
li, max], P
li, maxfor the maximum discharge power of lithium battery energy storage battery device, on the occasion of, P
li, minfor lithium battery energy storage battery device maximum charge power, it is negative value.P
lifor the charge-discharge electric power of lithium battery energy storage battery device, discharge power be on the occasion of, charge power is negative value.
4. a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, it is characterized in that: the method for the charge-discharge electric power between step (3) described reasonable distribution lithium battery energy storage battery device and flow battery energy storage device is as follows: micro-capacitance sensor controller judges the region residing for the SOC of lithium battery energy storage battery device, be positioned at energy storage charge state 1 or 2 or 3 or 4 or 5, according to the implementation strategy of the charge-discharge electric power of lithium battery energy storage battery device and the charge-discharge electric power bound determination micro-capacitance sensor controller of lithium battery energy storage battery device, the charge and discharge control of the corresponding different lithium battery energy storage battery device of Different Strategies and flow battery energy storage device.
5. a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, it is characterized in that: the method making full use of the generating capacity of photovoltaic generating system described in step (4) is as follows: when the discharge power of lithium battery energy storage battery device and flow battery energy storage device can not meet microgrid power demand, improve photovoltaic power generation system output power; 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. a kind of energy management method from net type wind-light storage micro-capacitance sensor containing multiclass energy storage according to claim 1, it is characterized in that: in step (5), when the power output of lithium battery energy storage battery device, flow battery energy storage device and photovoltaic generating system all cannot meet microgrid power demand, if microgrid power has residue, then excise wind-driven generator or drop into new load, if microgrid power is not enough, then drop into wind-driven generator or excision load.
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