CN106451511A - Energy storage optimization control method - Google Patents
Energy storage optimization control method Download PDFInfo
- Publication number
- CN106451511A CN106451511A CN201611027335.8A CN201611027335A CN106451511A CN 106451511 A CN106451511 A CN 106451511A CN 201611027335 A CN201611027335 A CN 201611027335A CN 106451511 A CN106451511 A CN 106451511A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- time
- charge
- power
- electric power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Landscapes
- 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 provides an energy storage optimization control method, and relates to the technical field of microgrids. An energy storage plan is combined with a practical condition to plane electric energy supply of energy storage according to a requirement, so that reliable electric energy supply to loads is ensured. The method comprises the following steps: acquiring the total power Pload of the loads and left energy storage capacity Soc; predicting photovoltaic power generation micropower supply power Ppvi, wind power generation micropower supply power Pwgi, generator micropower supply power Pggi and power PLi required by the loads; inputting rated capacity V0, a power threshold value P0 and a deviation threshold value delta; calculating a reference value PTi according to V0, P0, Soc and predicted data; calculating a planned value Pi according to PTi and P0; calculating a real-time value PNi according to Pload, PTi and P0; determining transmitted charging and discharging power PBATi according to Pi, PNi and delta. The method is used for ensuring reliable electric energy supply to the loads and economic running of energy storage.
Description
Technical field
The present invention relates to micro-capacitance sensor technical field, more particularly, to a kind of energy storage optimal control method.
Background technology
Micro-grid system is a kind of by photovoltaic generation micro battery, wind-power electricity generation micro battery, electromotor micro battery, the micro- electricity of energy storage
The intelligent controllable small-sized network system that source and end load combine.The extensive application of photovoltaic generation and wind-power electricity generation although
Largely alleviate the problem of energy scarcity, but photovoltaic generation and wind-power electricity generation are subject to extraneous factor, as weather conditions
Impact is larger, has very strong erratic behavior and undulatory property, this is just unfavorable for the stable operation of micro-grid system.Due to micro- electricity
Energy storage micro battery is also included in net system, thus, can be by energy storage micro battery and photovoltaic generation micro battery, wind-power electricity generation micro battery
With electromotor micro battery use in conjunction, under certain stored energy capacitance configures, realize to photovoltaic generation in micro-grid system micro- electricity
The control of source and wind-power electricity generation micro battery and regulation, improve the stability that micro-grid system runs to a certain extent.
At present, for the correlational study of energy storage micro battery, it is by photovoltaic generation micro battery in micro-grid system mostly
Active power of output, wind-power electricity generation micro battery active power of output, energy storage micro battery terminal voltage and energy storage micro battery wattful power
The real time data monitoring of rate, in conjunction with user's request response, stabilizes grid power requirement and the prediction data of load, micro- to energy storage
Power supply is controlled, but this control method is not directed to satisfaction and can demand be charged controlling, full to ensure that energy storage has
The foot Power Reserve of energy demand, also cannot accomplish to realize the complete control of discharge of energy storage, energy-storage system economy according to real-time requirement
Operation cannot be realized, and also cannot ensure that load has reliable electric energy supply simultaneously.
Content of the invention
The invention provides a kind of energy storage optimal control method, number is predicted by photovoltaic generation prediction data, wind-power electricity generation
According to, electromotor micro battery prediction data, formulate energy storage discharge and recharge plan, by energy storage micro battery active power, dump energy etc.
The monitoring of real time data, is modified to energy storage micro battery discharge and recharge plan, make energy storage micro battery as desired plan storage with
Supply electric energy, ensures that load has the effect of reliable electric energy supply and energy storage economical operation.
For reaching above-mentioned purpose, the present invention adopts the following technical scheme that：
The invention provides a kind of energy storage optimal control method, described energy storage optimal control method includes：
Step S1：Gather general power P of whole loadsloadWith energy storage residual capacity Soc；
Step S2：General power P that in prediction time to peak, each time period whole photovoltaic generation micro battery can be suppliedpvi, complete
General power P that portion's wind-power electricity generation micro battery can be suppliedwgi, general power P that can supply of whole electromotor micro batteryggiAnd all bear
General power P needed for lotusLi；Wherein, i=1～k, k are the total number of time period in time to peak；
Step S3：Energy storage constraints data is inputted in advance in data base；Wherein, described energy storage constraints packet
Include energy storage rated capacity V0, energy storage charge-discharge electric power threshold value P0And energy storage deviation threshold δ；
Step S4：According to energy storage rated capacity V0, energy storage charge-discharge electric power threshold value P0, energy storage residual capacity Soc and institute pre-
The data surveyed, calculates charge-discharge electric power reference value P of the energy storage micro battery of each time period in time to peakTi；
Step S5：Charge-discharge electric power reference value P according to energy storage micro batteryTiAnd energy storage charge-discharge electric power threshold value P0, meter
Calculate the planned value P of the energy storage charge-discharge electric power of each time period in time to peaki；
Step S6：General power P according to whole loadsload, charge-discharge electric power reference value P of energy storage micro batteryTiAnd storage
Can charge-discharge electric power threshold value P0, calculate the instantaneous value P of the energy storage charge-discharge electric power of each time period in time to peakNi；
Step S7：Planned value P according to the energy storage charge-discharge electric power of each time period in time to peaki, instantaneous value PNiWith
Energy storage deviation threshold δ, determines filling of the micro-grid system energy storage micro battery that each time period finally issues in time to peak
Discharge power PBATi.
Using energy storage optimal control method provided by the present invention, based on to electric energy needed for load, wind-power electricity generation micro battery,
The electric energy that photovoltaic generation micro battery and electromotor micro battery can be supplied carries out real-time estimate, makes energy storage micro battery in peak value
Discharge and recharge plan in time, according to the plan of the energy storage charge-discharge electric power of the energy storage micro battery of each time period in time to peak
Value Pi, instantaneous value PNiWith energy storage deviation threshold δ, determine what micro-grid system each time period in time to peak finally issued
The charge-discharge electric power P of energy storage micro batteryBATiIt is achieved that by the discharge and recharge plan of energy storage micro battery in time to peak and actual motion
Combine.To sum up, using energy storage optimal control method provided by the present invention, in time to peak, by real-time adjustment energy storage
Charge-discharge electric power, thus ensure energy storage micro battery can plan as desired in time to peak storage with supply electric energy it is ensured that
Load has reliable electric energy supply and the energy-storage system of energy storage micro battery composition has economic benefit.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, acceptable
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is micro- provided in the invention of " a kind of realize the micro-grid system that micro battery is powered with load coulomb balance "
The structural representation one of network system；
Fig. 2 is micro- provided in the invention of " a kind of realize the micro-grid system that micro battery is powered with load coulomb balance "
The structural representation two of network system；
The flow chart one of the energy storage optimal control method that Fig. 3 is provided by the embodiment of the present invention；
The flowchart 2 of the energy storage optimal control method that Fig. 4 is provided by the embodiment of the present invention；
The flow chart 3 of the energy storage optimal control method that Fig. 5 is provided by the embodiment of the present invention；
The flow chart four of the energy storage optimal control method that Fig. 6 is provided by the embodiment of the present invention；
The flow chart five of the energy storage optimal control method that Fig. 7 is provided by the embodiment of the present invention；
The flow chart six of the energy storage optimal control method that Fig. 8 is provided by the embodiment of the present invention；
The theory diagram of the energy storage optimal control method that Fig. 9 is provided by the embodiment of the present invention.
Description of reference numerals：
1- block；11- micro-capacitance sensor is for energy module；
111- micro battery unit；1110- micro battery；
1111- photovoltaic generation micro battery；1112- wind-power electricity generation micro battery；
1113- electromotor micro battery；1114- energy storage micro battery；
112- load cell；1120- load；
The controlled micro battery of 113- switchs；114- controllable burden switchs；
115- transformator；116- controllable voltage switchs；
117- is grid-connected/off-network controlling switch；12- endpoint data acquisition and control module；
121- micro source controller；122- first load governor；
123- second load governor；124- data acquisition and monitoring unit；
13- network management unit；2- micro-capacitance sensor central control module；
3- external electrical network；4- the 3rd load governor；
5- total data gathers monitoring means；6- overall network administrative unit；
7- system end communication alternative device；1'- reference value PTiComputing unit；
2'- planned value PiComputing unit；3'- instantaneous value PNiComputing unit；
4'- finally issues charge-discharge electric power PBATiComputing unit；
5'- energy storage inverter.
Specific embodiment
Understandable for enabling the above objects, features and advantages of the present invention to become apparent from, implement below in conjunction with the present invention
Accompanying drawing in example, is clearly and completely described to the technical scheme in the embodiment of the present invention.Obviously, described embodiment
It is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the common skill in this area
All other embodiment that art personnel are obtained on the premise of not making creative work, belongs to the model of present invention protection
Enclose.
What the embodiment of the present invention was provided realize, and micro battery powers is based on the grid control method of load coulomb balance
" a kind of's realize the micro-grid system that micro battery is powered with load coulomb balance " that submit on the same day with the present invention, invention entitled
Invention.
As depicted in figs. 1 and 2, in " a kind of realize the micro-grid system that micro battery is powered with load coulomb balance ", micro-
Network system includes at least one block 1 and the micro-capacitance sensor central control module 2 being connected with each block, and block 1 includes connected
Micro-capacitance sensor is for energy module 11 and endpoint data acquisition and control module 12；Wherein, micro-capacitance sensor is for module 11 including micro- electricity
Source unit 111 and load cell 112, micro battery unit 111 includes at least one micro battery 1110, load cell 112 include to
A few load 1120.When micro-grid system is in simultaneously net state, micro-capacitance sensor is connected with external electrical network 3 for energy module 11,
When micro-grid system is in off-network state, micro-capacitance sensor is for can module 11 disconnect with external electrical network 3.Further, should be " a kind of
Realize the micro-grid system that micro battery is powered with load coulomb balance " in, micro-capacitance sensor is for module 11 can also include controlled micro- electricity
Source switch 113, controllable burden switch 114, transformator 115, controllable voltage switch 116 and grid-connected/off-network controlling switch 117；Micro-
Power subsystem 111 specifically may include photovoltaic generation micro battery 1111, wind-power electricity generation micro battery 1112, electromotor micro battery 1113 and
Energy storage micro battery 1114；Endpoint data acquisition and control module 12 specifically include micro source controller 121, the first load governor
122nd, the second spatial load forecasting 123 data collection monitoring means 124.Additionally, micro-grid system also includes：3rd load governor
4th, total data collection monitoring means 5, overall network administrative unit 6 and system end communication alternative device 7.
Based on the structure of above-mentioned " a kind of realize the micro-grid system that micro battery is powered with load coulomb balance ", with reference to
The energy storage optimal control method that accompanying drawing is provided to the embodiment of the present invention describes in detail.
As shown in figure 3, present embodiments providing a kind of energy storage optimal control method, this energy storage optimal control method is specifically wrapped
Include：
Step S1：Gather general power P of whole loadsloadWith energy storage residual capacity Soc.
Step S2：General power P that in prediction time to peak, each time period whole photovoltaic generation micro battery can be suppliedpvi, complete
General power P that portion's wind-power electricity generation micro battery can be suppliedwgi, general power P that can supply of whole electromotor micro batteryggiAnd all bear
General power P needed for lotusLi；Wherein, i=1～k, k are the total number of time period in time to peak.
Step S3：Energy storage constraints data is inputted in advance in data base；Wherein, energy storage constraints data includes storing up
Can rated capacity V0, energy storage charge-discharge electric power threshold value P0And energy storage deviation threshold δ.
Step S4：According to energy storage rated capacity V0, energy storage charge-discharge electric power threshold value P0, energy storage residual capacity Soc and institute pre-
The data surveyed, calculates charge-discharge electric power reference value P of the energy storage micro battery of each time period in time to peakTi.
Step S5：Charge-discharge electric power reference value P according to energy storage micro batteryTiAnd energy storage charge-discharge electric power threshold value P0, meter
Calculate the planned value P of the energy storage charge-discharge electric power of each time period in time to peaki.
Step S6：General power P according to whole loadsload, charge-discharge electric power reference value P of energy storage micro batteryTiAnd storage
Can charge-discharge electric power threshold value P0, calculate the instantaneous value P of the energy storage charge-discharge electric power of each time period in time to peakNi.
Step S7：Planned value P according to the energy storage charge-discharge electric power of each time period in time to peaki, instantaneous value PNiWith
Energy storage deviation threshold δ, determines filling of the micro-grid system energy storage micro battery that each time period finally issues in time to peak
Discharge power PBATi.
The energy storage optimal control method being provided using the present embodiment, based on to electric energy, the micro- electricity of wind-power electricity generation needed for load
The electric energy that source, photovoltaic generation micro battery and electromotor micro battery can be supplied carries out real-time estimate, makes energy storage micro battery and exists
Discharge and recharge plan in time to peak, according to the energy storage charge-discharge electric power of the energy storage micro battery of each time period in time to peak
Planned value Pi, instantaneous value PNiWith energy storage deviation threshold δ, determine micro-grid system each time period in time to peak final under
The charge-discharge electric power P of the energy storage micro battery sent outBATiIt is achieved that by the discharge and recharge plan of energy storage micro battery in time to peak with actual
Operation combines.To sum up, the energy storage optimal control method being provided using the present embodiment, in time to peak, by real-time adjustment
The charge-discharge electric power of energy storage micro battery, thus ensure that energy storage micro battery can supply electricity in time to peak as desired according to plan
Can, and then ensure that load has reliable electric energy supply and energy storage has economic benefit.
It should be noted that mentioned electromotor micro battery in step S2 refers in micro-grid system, except photovoltaic generation
Other electromotor micro battery beyond micro battery, wind-power electricity generation micro battery and energy storage micro battery, specifically may include diesel-driven generator
Micro battery, gas electricity generator micro battery etc..
As shown in figure 4, step S4 specifically includes：
Step S41：City's electrical power P is calculated by formula (1)pli.
Ppli=PLi-Ppvi-Pwgi-Pggi(1)
Step S42：Synthetic load mean power is calculated by formula (2)
Step S43：Middle power value P is drawn by formula (3)ti.
Wherein, t is the duration of i-th time period of time to peak.
Step S44：Relatively middle power value PtiWith energy storage charge-discharge electric power threshold value P0If, Pti≥P0, then make described peak value
Charge-discharge electric power reference value P of the energy storage micro battery of i-th time period of timeTi=P0；If Pti<P0, then make PTi=Pti.
By above-mentioned calculating, charge-discharge electric power reference value P of energy storage micro battery under different condition can be drawn respectivelyTiCorresponding
Numerical value, and then for calculate i-th time period of time to peak energy storage charge-discharge electric power planned value PiThere is provided one accurately
Charge-discharge electric power reference value.
As shown in figure 5, step S5 specifically includes：
Step S51：Calculate city's electrical power PpliWith synthetic load mean powerBetween difference PniIf, Pni<0, then make
The planned value P of the energy storage charge-discharge electric power of i-th time period of time to peaki=PTi；If Pni>=0, then enter step S52.
Step S52：Relatively PniWith energy storage charge-discharge electric power threshold value P0If, Pni≥P0, then make Pi=P0；If Pni<P0, then enter
Enter step S53.
Step S53：Relatively PniWith PTiIf, Pni>PTi, then make Pi=Pni；If Pni≤PTi, then make Pi=PTi.
By above-mentioned calculating, the energy storage charge and discharge electric work of i-th time period of time to peak under different condition can be drawn respectively
The planned value P of rateiCorresponding numerical value, that is, made discharge and recharge plan in time to peak for the energy storage micro battery.
As shown in fig. 6, step S6 specifically includes：
Step S61：Calculate general power P of whole loadsloadWith synthetic load mean powerDifference PmiIf, Pmi<0,
Then make the instantaneous value P of the energy storage charge-discharge electric power of i-th time period of time to peakNi=PTi；If Pm>=0, then enter step S62.
Step S62：Relatively PmiWith energy storage charge-discharge electric power threshold value P0If, Pmi≥P0, then make PNi=P0；If Pmi<P0, then enter
Enter step S63.
Step S63：Relatively PmiWith PTiIf, Pmi≥PTi, then make PNi=Pmi；If Pni<PTi, then make PNi=PTi.
By above-mentioned calculating, the energy storage charge and discharge electric work of i-th time period of time to peak under different condition can be drawn respectively
The instantaneous value P of rateNiCorresponding numerical value.
As shown in fig. 7, step S7 specifically includes：
Step S71：Planned value P is calculated by formula (4)iWith instantaneous value PNiBetween deviation deltai.
Step S72：Relatively deviation deltaiWith energy storage deviation threshold δ, if Δi>=δ, then make micro-grid system in time to peak
The charge-discharge electric power P of the energy storage micro battery that i time period finally issuesBATi=PNi；If Δi<δ, then make PBATi=Pi.
Planned value P by the energy storage charge-discharge electric power of energy storage micro batteryiWith instantaneous value PNiCombine, and according to therebetween
Deviation deltaiWith the magnitude relationship of energy storage deviation threshold δ, determine that micro-grid system each time period in time to peak is final
The charge-discharge electric power P of the energy storage micro battery issuingBATi.That is, in time to peak, by by the discharge and recharge plan of energy storage micro battery
Combining with actual motion, making micro-grid system issue the charge-discharge electric power value of rational energy storage micro battery, thus ensureing energy storage
Micro battery can supply electric energy in time to peak as desired, and then ensures that load has reliable electric energy supply.
It should be noted that calculate the discharge and recharge of the energy storage micro battery that micro-grid system finally issues by step S4～S7
Power PBATiWhen, i=i+1, the gradually mode of cycle calculations can be adopted, obtain P successivelyBAT1、PBAT2、…、PBATkNumerical value.
Because in one day, electric energy needed for time to peak internal loading is more, so that based on to electric energy, wind-force needed for load
The electric energy that generating micro battery, photovoltaic generation micro battery and electromotor micro battery can be supplied carries out real-time estimate, makes the micro- electricity of energy storage
The rational discharge and recharge in source, ensures that load has reliable and stable electric energy supply.And electric energy needed for valley time load less it is only necessary to sharp
With the electric energy that time to peak energy storage micro battery is remaining, you can meet workload demand, therefore, the valley time need not carry out load again
The real-time estimate of the electric energy that required electric energy, wind-power electricity generation micro battery, photovoltaic generation micro battery and electromotor micro battery can be supplied,
Only micro-grid system each time period within the valley time need to be judged according to the remaining electric energy of time to peak energy storage micro battery
The charge-discharge electric power P of the energy storage micro battery finally issuingj.
The energy storage optimal control method that the present embodiment is provided also includes：
Step S8：According to energy storage rated capacity V0, in energy storage residual capacity Soc and time to peak each time period storage
The planned value P of energy charge-discharge electric poweri, calculate the micro- electricity of the micro-grid system energy storage that each time period finally issues within the valley time
The charge-discharge electric power P in sourcej.
As shown in figure 8, step S8 specifically includes：
Step S81：Time to peak energy storage electricity requirement V is calculated by formula (5).
Wherein, t is the duration of i-th time period in time to peak, and time to peak energy storage electricity requirement V characterizes time to peak
Energy storage micro battery is remaining, it is desirable to provide to the electric energy of valley time.
Step S82：Calculate the charge-discharge electric power ginseng of the energy storage micro battery of each time period in the valley time by formula (6)
Examine value PHj.
Wherein, j=1～J, J are the total number of time period in the valley time.
Step S83：Relatively PHjWith-P0If, PHj<-P0, then make micro-grid system final in j-th time period of valley time
The charge-discharge electric power P of the energy storage micro battery issuingj=-P0；If PHj≥-P0, then make Pj=-PHj.
By above-mentioned calculating, the energy storage that j-th time period of valley time under different condition finally issue can be drawn respectively
The numerical value corresponding to charge-discharge electric power Pj of micro battery.Difference rate period is put down according to peak valley in a day, is put by time to peak
Electricity, the valley time charges, and can reach the technique effect of peak load shifting, also ensures that certain economic well-being of workers and staff simultaneously.
In conjunction with the theory diagram shown in Fig. 9, the energy storage optimal control method that can more clearly the present embodiment be provided is entered
Row explanation.
To reference value PTiEnergy storage rated capacity V is inputted in computing unit 1'0, energy storage charge-discharge electric power threshold value P0, energy storage remain
General power P that in covolume amount Soc and the time to peak that predicts, each time period whole photovoltaic generation micro battery can be suppliedpvi、
General power P that all wind-power electricity generation micro battery can be suppliedwgi, general power P that can supply of whole electromotor micro batteryggiAll bear
General power P needed for lotusLi, using reference value PTiComputing unit 1' calculates and exports the energy storage of each time period time to peak Nei
Charge-discharge electric power reference value P of micro batteryTi.
By reference value PTiCharge-discharge electric power reference value P of computing unit 1' outputTiAs planned value PiComputing unit 2''s
Input, and to planned value PiComputing unit 2' inputs energy storage charge-discharge electric power threshold value P0, using planned value PiComputing unit 2' calculates
And export the planned value P of the energy storage charge-discharge electric power of each time period time to peak Neii.
By reference value PTiCharge-discharge electric power reference value P of computing unit 1' outputTiAs instantaneous value PNiComputing unit 3''s
Input, and to instantaneous value PNiComputing unit 3' inputs general power P of whole loadsloadAnd energy storage charge-discharge electric power threshold value P0,
Using instantaneous value PNiComputing unit 3' calculate and export each time period time to peak Nei energy storage charge-discharge electric power instantaneous value
PNi.
It is intended to value PiThe planned value P of computing unit 2' outputiWith instantaneous value PNiThe instantaneous value P of computing unit 3' outputNi
As finally issuing charge-discharge electric power PBATiThe input of computing unit 4', and to finally issuing charge-discharge electric power PBATiComputing unit
4' inputs energy storage deviation threshold δ, using finally issuing charge-discharge electric power PBATiComputing unit 4' calculates and exports micro-grid system
The charge-discharge electric power P of the energy storage micro battery that each time period finally issues in time to peakBATi.The micro- electricity of energy storage finally issuing
The charge-discharge electric power P in sourceBATiThrough regulation and the control of energy storage inverter 5', the electric energy as the load in micro-grid system supplies
Should.
The foregoing is only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, the change or replacement that can readily occur in, all answer
It is included within the scope of the present invention.Therefore, protection scope of the present invention with described scope of the claims should be
Accurate.
Claims (7)
1. a kind of energy storage optimal control method is it is characterised in that described energy storage optimal control method includes：
Step S1：Gather general power P of whole loadsloadWith energy storage residual capacity Soc；
Step S2：General power P that in prediction time to peak, each time period whole photovoltaic generation micro battery can be suppliedpvi, whole wind
General power P that power generating micro battery can be suppliedwgi, general power P that can supply of whole electromotor micro batteryggiAnd whole load institute
General power P needingLi；Wherein, i=1～k, k are the total number of time period in time to peak；
Step S3：Energy storage constraints data is inputted in advance in data base；Wherein, described energy storage constraints data includes storing up
Can rated capacity V0, energy storage charge-discharge electric power threshold value P0And energy storage deviation threshold δ；
Step S4：According to energy storage rated capacity V0, energy storage charge-discharge electric power threshold value P0, energy storage residual capacity Soc and being predicted
Data, calculates charge-discharge electric power reference value P of the energy storage micro battery of each time period in time to peakTi；
Step S5：Charge-discharge electric power reference value P according to energy storage micro batteryTiAnd energy storage charge-discharge electric power threshold value P0, calculate peak
The planned value P of the energy storage charge-discharge electric power of each time period in the value timei；
Step S6：General power P according to whole loadsload, charge-discharge electric power reference value P of energy storage micro batteryTiAnd energy storage fills
Discharge power threshold value P0, calculate the instantaneous value P of the energy storage charge-discharge electric power of each time period in time to peakNi；
Step S7：Planned value P according to the energy storage charge-discharge electric power of each time period in time to peaki, instantaneous value PNiAnd energy storage
Deviation threshold δ, determines the discharge and recharge of the micro-grid system energy storage micro battery that each time period finally issues in time to peak
Power PBATi.
2. energy storage optimal control method according to claim 1 is it is characterised in that described step S4 includes：
Step S41：City's electrical power P is calculated by formula (1)pli；
Ppli=PLi-Ppvi-Pwgi-Pggi(1)
Step S42：Synthetic load mean power is calculated by formula (2)
Step S43：Middle power value P is drawn by formula (3)ti；
Wherein, t is the duration of i-th time period of time to peak；
Step S44：Relatively middle power value PtiWith energy storage charge-discharge electric power threshold value P0If, Pti≥P0, then make described time to peak
Charge-discharge electric power reference value P of the energy storage micro battery of i-th time periodTi=P0；If Pti<P0, then make PTi=Pti.
3. energy storage optimal control method according to claim 2 is it is characterised in that described step S5 includes：
Step S51：Calculate city's electrical power PpliWith synthetic load mean powerBetween difference PniIf, Pni<0, then when making peak value
Between i-th time period energy storage charge-discharge electric power planned value Pi=PTi；If Pni>=0, then enter step S52；
Step S52：Relatively PniWith energy storage charge-discharge electric power threshold value P0If, Pni≥P0, then make Pi=P0；If Pni<P0, then enter step
Rapid S53；
Step S53：Relatively PniWith PTiIf, Pni>PTi, then make Pi=Pni；If Pni≤PTi, then make Pi=PTi.
4. energy storage optimal control method according to claim 2 is it is characterised in that described step S6 includes：
Step S61：Calculate general power P of whole loadsloadWith synthetic load mean powerDifference PmiIf, Pmi<0, then make
The instantaneous value P of the energy storage charge-discharge electric power of i-th time period of time to peakNi=PTi；If Pm>=0, then enter step S62；
Step S62：Relatively PmiWith energy storage charge-discharge electric power threshold value P0If, Pmi≥P0, then make PNi=P0；If Pmi<P0, then enter step
Rapid S63；
Step S63：Relatively PmiWith PTiIf, Pmi≥PTi, then make PNi=Pmi；If Pni<PTi, then make PNi=PTi.
5. energy storage optimal control method according to claim 1 is it is characterised in that described step S7 includes：
Step S71：Planned value P is calculated by formula (4)iWith instantaneous value PNiBetween deviation deltai；
Step S72：Relatively deviation deltaiWith energy storage deviation threshold δ, if Δi>=δ, then make micro-grid system in i-th of time to peak
The charge-discharge electric power P of the energy storage micro battery that the time period finally issuesBATi=PNi；If Δi<δ, then make PBATi=Pi.
6. energy storage optimal control method according to claim 1 is it is characterised in that described energy storage optimal control method is also wrapped
Include：
Step S8：According to energy storage rated capacity V0, in energy storage residual capacity Soc and time to peak the energy storage of each time period fill
The planned value P of discharge poweri, calculate the micro-grid system energy storage micro battery that each time period finally issues within the valley time
Charge-discharge electric power Pj.
7. energy storage optimal control method according to claim 6 is it is characterised in that described step S8 includes：
Step S81：Time to peak energy storage electricity requirement V is calculated by formula (5)；
Wherein, t is the duration of i-th time period in time to peak；
Step S82：Calculate the charge-discharge electric power reference value of the energy storage micro battery of each time period in the valley time by formula (6)
PHj；
Wherein, j=1～J, J are the total number of time period in the valley time；
Step S83：Relatively PHjWith-P0If, PHj<-P0, then micro-grid system is made finally to issue in j-th time period of valley time
Energy storage micro battery charge-discharge electric power Pj=-P0；If PHj≥-P0, then make Pj=-PHj.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611027335.8A CN106451511B (en) | 2016-11-17 | 2016-11-17 | A kind of energy storage optimal control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611027335.8A CN106451511B (en) | 2016-11-17 | 2016-11-17 | A kind of energy storage optimal control method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106451511A true CN106451511A (en) | 2017-02-22 |
| CN106451511B CN106451511B (en) | 2019-03-19 |
Family
ID=58220879
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611027335.8A Active CN106451511B (en) | 2016-11-17 | 2016-11-17 | A kind of energy storage optimal control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106451511B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109256791A (en) * | 2018-10-24 | 2019-01-22 | 厦门科华恒盛股份有限公司 | A kind of Poewr control method and power control apparatus of energy-storage units |
| CN110034570A (en) * | 2019-05-16 | 2019-07-19 | 阳光电源股份有限公司 | Control method, device and the photovoltaic plant of energy storage device |
| CN117856339A (en) * | 2024-03-08 | 2024-04-09 | 江苏卓特电气科技有限公司 | Micro-grid electric energy data control system and method based on big data |
| CN117856339B (en) * | 2024-03-08 | 2024-06-07 | 江苏卓特电气科技有限公司 | Micro-grid electric energy data control system and method based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005771A (en) * | 2010-12-23 | 2011-04-06 | 天津电力设计院 | Energy storage capacity selecting method of wind, photovoltaic and storage micro-grid system |
| CN104600731A (en) * | 2015-02-06 | 2015-05-06 | 山东理工大学 | Energy storage system control method of optical storage system for peak shifting |
| CN105515027A (en) * | 2015-08-06 | 2016-04-20 | 樊朝晖 | Load curve configurable energy storage micro-grid control method |
| US20160268804A1 (en) * | 2015-03-11 | 2016-09-15 | Lsis Co., Ltd. | Power management system |
-
2016
- 2016-11-17 CN CN201611027335.8A patent/CN106451511B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005771A (en) * | 2010-12-23 | 2011-04-06 | 天津电力设计院 | Energy storage capacity selecting method of wind, photovoltaic and storage micro-grid system |
| CN104600731A (en) * | 2015-02-06 | 2015-05-06 | 山东理工大学 | Energy storage system control method of optical storage system for peak shifting |
| US20160268804A1 (en) * | 2015-03-11 | 2016-09-15 | Lsis Co., Ltd. | Power management system |
| CN105515027A (en) * | 2015-08-06 | 2016-04-20 | 樊朝晖 | Load curve configurable energy storage micro-grid control method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109256791A (en) * | 2018-10-24 | 2019-01-22 | 厦门科华恒盛股份有限公司 | A kind of Poewr control method and power control apparatus of energy-storage units |
| CN109256791B (en) * | 2018-10-24 | 2022-02-15 | 科华恒盛股份有限公司 | Power control method and power control equipment of energy storage unit |
| CN110034570A (en) * | 2019-05-16 | 2019-07-19 | 阳光电源股份有限公司 | Control method, device and the photovoltaic plant of energy storage device |
| CN117856339A (en) * | 2024-03-08 | 2024-04-09 | 江苏卓特电气科技有限公司 | Micro-grid electric energy data control system and method based on big data |
| CN117856339B (en) * | 2024-03-08 | 2024-06-07 | 江苏卓特电气科技有限公司 | Micro-grid electric energy data control system and method based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106451511B (en) | 2019-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104538999B (en) | Photovoltaic generating energy storage system and energy scheduling method thereof | |
| CN102903186B (en) | Electromobile charging pile and operating method thereof | |
| CN102856924B (en) | Microgrid smooth switch control method based on composite energy storage | |
| CN104821600B (en) | Flexible grid-connected scheduling algorithm for distributed wind and photovoltaic hybrid power generation system | |
| CN106849343B (en) | The independently-powered switching system of communication base station wind-solar-diesel storage and power switching method | |
| CN102545250B (en) | Power slide control method, device and working method of wind farm utilizing lithium ion battery to store energy | |
| CN104734196B (en) | A kind of supervising device of the wind-light storage one micro-capacitance sensor being incorporated into the power networks | |
| CN104993478B (en) | A kind of off-grid operation control method suitable for user side micro-capacitance sensor | |
| CN104767224A (en) | Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid | |
| CN206099371U (en) | New forms of energy microgrid system of community | |
| CN104734194B (en) | Wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner | |
| CN106921164A (en) | The MIXED INTEGER Second-order cone programming method and system of distribution voltage power-less collaboration optimization | |
| CN109586325A (en) | A kind of new energy energy storage Optimal Configuration Method | |
| CN104682448A (en) | Operation and monitoring method for battery energy storage power station based on power prediction | |
| CN103326388A (en) | Power prediction based micro-grid energy storage system and capacity configuration method | |
| CN103326389A (en) | Power prediction based micro-grid energy storage system and capacity configuration method | |
| CN106374540A (en) | Micro grid control method for balancing power supplied by micro power sources and power consumed by loads | |
| CN109494813A (en) | A kind of power dispatching method, electronic equipment and storage medium | |
| Li et al. | Optimal dispatching method for smoothing power fluctuations of the wind-photovoltaic-battery hybrid generation system | |
| CN105958520A (en) | Operation control strategy for storage battery energy storage system in power distribution network | |
| CN107622332A (en) | A kind of grid side stored energy capacitance Optimal Configuration Method based on static security constraint | |
| CN104795843A (en) | Grid-connected wind power system with voltage stabilizing device and control method of grid-connected wind power system | |
| CN103560533A (en) | Method and system for causing energy storage power station to smooth wind and photovoltaic power generation fluctuation based on change rate | |
| CN106451511B (en) | A kind of energy storage optimal control method | |
| CN104821619B (en) | Renewable energy source-based storage battery charging device and control method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |