CN106877407A - A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method - Google Patents
A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method Download PDFInfo
- Publication number
- CN106877407A CN106877407A CN201710182590.8A CN201710182590A CN106877407A CN 106877407 A CN106877407 A CN 106877407A CN 201710182590 A CN201710182590 A CN 201710182590A CN 106877407 A CN106877407 A CN 106877407A
- Authority
- CN
- China
- Prior art keywords
- micro
- power
- capacitance sensor
- energy storage
- wind
- 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.)
- Pending
Links
- 238000003860 storage Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000005457 optimization Methods 0.000 title claims abstract description 22
- 238000004146 energy storage Methods 0.000 claims abstract description 86
- 238000009826 distribution Methods 0.000 claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims abstract description 5
- 230000008030 elimination Effects 0.000 claims abstract description 5
- 238000003379 elimination reaction Methods 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims description 34
- 238000010248 power generation Methods 0.000 claims description 12
- 238000005520 cutting process Methods 0.000 claims description 3
- 240000002853 Nelumbo nucifera Species 0.000 claims description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims description 2
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims description 2
- 230000000638 stimulation Effects 0.000 claims description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 2
- 210000004209 hair Anatomy 0.000 claims 1
- 238000011161 development Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000001172 regenerating effect Effects 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- ZZUFCTLCJUWOSV-UHFFFAOYSA-N furosemide Chemical compound C1=C(Cl)C(S(=O)(=O)N)=CC(C(O)=O)=C1NCC1=CC=CO1 ZZUFCTLCJUWOSV-UHFFFAOYSA-N 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
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
- H02J3/38—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
-
- 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
- H02S10/10—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power including a supplementary source of electric power, e.g. hybrid diesel-PV energy systems
- H02S10/12—Hybrid wind-PV energy systems
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of wind-solar-diesel storage type micro electric network coordination control optimization method, first according to micro-capacitance sensor PCC point switching informations and schedule information, the operational mode of real-time judge micro-capacitance sensor;Then grid-connected different operational modes are turned for grid-connected, off-network, grid-connected net and the off-network of leaving, to reduce diesel engine on-off frequency;Reduce the discharge and recharge conversion times of energy storage;Honourable resource on-site elimination is optimal control target, provides the corresponding control sequence of each distribution power.The present invention ensure that safe and stable operation of the wind-solar-diesel storage type micro-capacitance sensor under different operational modes, while taking into account the economy of system when coordination control measure are formulated for wind-solar-diesel storage type micro-capacitance sensor.
Description
Technical field
The present invention relates to micro-capacitance sensor control technology field, and in particular to a kind of wind-solar-diesel storage type micro electric network coordination control optimization
Method.
Background technology
Micro-capacitance sensor is by various distributed power sources, energy-storage system, energy conversion device, load and monitoring, protection device
The small-sized electric system collected, is a self-government system that can realize self-contr ol, protection and management.Micro- electricity
The development of net is still in initial period in China, but demand and the direction of China's electric power development are adapted to the characteristics of micro-capacitance sensor, and
There is vast potential for future development.New energy micro-capacitance sensor demonstrative project instruction is put into effect, and micro-capacitance sensor is the basis of energy internet
Core cell.By means of power energy internet and new power system reform, micro-capacitance sensor will welcome high-speed development period.
Traditional micro-capacitance sensor based on " wind-solar-diesel storage " is the current domestic more micro-capacitance sensor form of the composition, and it applies model
Enclose extensively, main application region is distributed in the isolated sea in the abundant western part, northern territory and southeastern coast of wind-powered electricity generation, photovoltaic resources
Island.Due to micro-grid system constitute and run it is complex, this to micro-capacitance sensor coordination control propose new challenge.
The research of control model is laid particular emphasis on currently for the control of wind-solar-diesel storage type micro electric network coordination, is lacked to system economy
Consideration, therefore it is necessary to study a kind of control method for coordinating for taking into account system economy.
The content of the invention
It is an object of the invention to overcome deficiency of the prior art, there is provided a kind of wind-solar-diesel storage type micro electric network coordination control
Optimization method processed, meets under specific operation constraints, to improve diesel-driven generator and energy storage device service life, maximum limit
Degree is optimal control target using honourable regenerative resource, it is ensured that safety of the wind-solar-diesel storage type micro-capacitance sensor under different operational modes
Stable operation, while taking into account the economy of system.
In order to solve the above technical problems, the invention provides a kind of wind-solar-diesel storage type micro electric network coordination control optimization method,
It is characterized in that, comprise the following steps:
Step S1, according to micro-capacitance sensor PCC point switching informations and schedule information, the operational mode of real-time judge micro-capacitance sensor;Its
Middle micro-capacitance sensor operational mode include being incorporated into the power networks pattern, off-grid operation pattern, grid-connected network operation pattern and the off-network of leaving turns simultaneously
Network operation pattern;
Step S2, when operational mode for be incorporated into the power networks pattern when, first determine whether the maximum gross capability of wind-powered electricity generation and photovoltaic with it is negative
The size of lotus power;
If the gross capability of wind-powered electricity generation and photovoltaic is more than load power, determine whether whether micro-capacitance sensor PCC points exchange power
Higher than higher limit;If it is higher than higher limit that micro-capacitance sensor PCC points exchange power, control sequence is respectively energy storage charging, diesel engine and stops
Machine, limit scene are exerted oneself;If being less than, control sequence is respectively energy storage charging, diesel engine stop;
If the gross capability power of wind-powered electricity generation and photovoltaic is less than load power, determine whether that micro-capacitance sensor PCC points exchange power
Whether lower limit is less than, if being less than, control sequence is respectively energy storage electric discharge, the start of diesel engine machine, limited load;If being higher than,
It is compared by the current electric cost of net, energy storage electric discharge cost, the diesel power generation cost bought, is keeping buying the electric water of net
Optimum choice is made in flat, energy storage electric discharge measure, diesel engine start measure;
Step S3, when operational mode is off-grid operation mode, judges the size of wind-powered electricity generation and photovoltaic gross capability and load, if
Be higher than, then control sequence be respectively energy storage charging, diesel engine stop, limit scene exert oneself;If being less than, control sequence is respectively storage
Can electric discharge, diesel engine start, limited load;
Step S4, when operational mode leaves net pattern for grid-connected, determines whether to go back right and wrong for the planned grid-connected net that leaves
It is planned grid-connected to leave net;
If being judged as the planned grid-connected size for leaving net, judging wind-powered electricity generation and photovoltaic gross capability and load, if uncontrollable electricity
Source gross capability be more than load, then control sequence be energy storage charging, diesel engine stop, limit scene exert oneself, if being less than, control sequence
It is energy storage electric discharge, diesel engine start, limited load;
If being judged as that unplanned property is grid-connected leaves net, the size of wind-powered electricity generation and photovoltaic gross capability and load is judged, if uncontrollable
Power supply gross capability is more than load, then control sequence is energy storage charging, wind cutting light, if being less than, control sequence is energy storage electric discharge, cuts
Load;
Step S5, when operational mode for off-network turns grid-connect mode, determines main power source of the energy storage as system;PCC points are opened
Close S and send order of closing a floodgate, closing success then enter grid-connect mode.
Further, the detailed process for judging micro-capacitance sensor operational mode is:
When PCC points on off state is for closure, micro-capacitance sensor is the pattern that is incorporated into the power networks;When PCC points on off state is to disconnect,
Micro-capacitance sensor is off-grid operation pattern;When scheduling system issues disconnection PCC point switching informations, micro-capacitance sensor grid-connected leaves for planned
Network operation pattern;When PCC points switch is by being closed into disconnection, and during the disconnection PCC point switching informations without dispatching down distributing, micro-capacitance sensor
Network operation pattern is left for unplanned property is grid-connected;When dispatching down distributing closes PCC point switching informations, micro-capacitance sensor is that off-network turns grid-connected
Operational mode.
Further, buying the electric level of net, energy storage electric discharge measure, diesel engine start stimulation optimization selection course is:If working as
Before buy the electric cost of net and discharged cost or diesel power generation cost less than energy storage, then keep current and buy the electric level of net, on the contrary choosing
Select energy storage charging measure or diesel engine start measure.
Further, in off-network turns grid-connect mode, energy storage is set as constant frequency and constant voltage.
Compared with prior art, the beneficial effect that is reached of the present invention is:The present invention is for wind-solar-diesel storage type micro-capacitance sensor
When formulating coordination control measure, meet under specific operation constraints, used with improving diesel generator and energy storage device
In the life-span, be to greatest extent optimal control target using honourable regenerative resource, it is ensured that wind-solar-diesel storage type micro-capacitance sensor is in different operations
Safe and stable operation under pattern, while taking into account the economy of system.
Brief description of the drawings
Fig. 1 is the coordination control flow chart under grid-connected, off-grid operation pattern of the invention;
Fig. 2 is the grid-connected coordination control flow chart left under net switch mode of the present invention;
Fig. 3 is the coordination control flow chart that off-network of the present invention turns under grid-connected switch mode.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following examples are only used for clearly illustrating the present invention
Technical scheme, and can not be limited the scope of the invention with this.
Wind-solar-diesel storage type micro-grid system is by wind generator system, photovoltaic generating system, diesel power generation system, energy storage system
System, micro-capacitance sensor bus and load composition.Wherein wind generator system, photovoltaic generating system, diesel power generation system, energy-storage system
And load is connected by switch with micro-capacitance sensor bus, micro-capacitance sensor is connected by points of common connection PCC with power distribution network.
Wind generator system, photovoltaic generating system, diesel power generation system, energy-storage system can be collectively referred to as distributed power source;
Wherein wind-powered electricity generation, photovoltaic are uncontrollable type power supply;Diesel power generation, energy storage are controllable type power supply.
Dispatch system comprising micro-capacitance sensor in existing micro-capacitance sensor central controller, realize to the management of charging and discharging of energy-storage system,
Treatment scheduling and the control of load to distributed power source etc., it is ensured that generated electricity in micro-capacitance sensor and put down with the realtime power of workload demand
Weighing apparatus, it is ensured that steady in a long-term, the economical operation of micro-capacitance sensor.Specifically, it is that control instruction is sent to control according to scheduling controlling strategy
The closure of PCC points switch S processed or disconnection, make micro-capacitance sensor be in grid-connected state or off-grid operation state, and control wind-force
Electricity generation system, photovoltaic generating system, diesel power generation system, energy-storage system and load are each incorporated to the switch of micro-capacitance sensor, make micro-
Generated electricity in power network and balanced with the realtime power of workload demand.
Implication to the following variable being related to carries out unified definition:PWind:Wind-powered electricity generation maximum available power;PLight:Photovoltaic is maximum
Available horsepower;PBavin:Diesel engine realtime power;PN:Diesel engine rated power;PStorage:Energy storage realtime power, to discharge for just;Pmax1、
Pmax2:Energy storage realtime power upper lower limit value;SOC:Energy storage charge state;SOCmin、SOCmax:Energy storage charge state upper lower limit value;
PNet:Micro-capacitance sensor PCC points exchange power, with micro-capacitance sensor to power distribution network power transmission as just;Pset1、Pset2:Micro-capacitance sensor PCC points exchange power
Upper lower limit value;PLotus:Load realtime power, containing network loss.
Applied in whole micro-grid system operation control process, to meet corresponding when regulating and controlling to each distributed power source
Operation constraints.This constraints is known, and specific constraints is:Diesel engine power is constrained to 0.3≤PBavin/PN≤
1.0 or PBavin=0;Energy storage charge state is constrained to SOCmin≤SOC≤SOCmax;Energy storage charge-discharge electric power is constrained to-Pmax1≤PStorage
≤Pmax2;It is-P that PCC points exchange power constraintset1≤PNet≤Pset2。
The optimization method of wind-solar-diesel storage type micro electric network coordination of the invention control, optimal control target is:Reduce diesel engine
On-off frequency;Reduce the discharge and recharge conversion times of energy storage;Honourable resource on-site elimination, meets local load and energy storage charging need
Ask, then surf the Net;When foundation power-balance needs diesel engine to exert oneself in 30%PNWhen following, in order to ensure the minimum operation of diesel engine
Exert oneself, diesel engine can charge for energy storage.Other situations, should try one's best and avoid with the generating of diesel engine machine being that energy storage is charged.
The effect that this every optimal control target is corresponding to be brought is:
1) diesel engine on-off frequency is reduced, the time between overhauls(TBO) of diesel engine can be extended, improve life-span and the reliability of diesel engine
Property, advantageously reduce it is non-stop number of times, reduce diesel engine start-stop cost, greatly increase economic efficiency.
2) the discharge and recharge conversion times of energy storage are reduced, the service life of energy storage can be extended, reduce energy storage discharge and recharge cost,
Improve energy storage economy.
3) honourable resource on-site elimination, after meeting the on-site elimination such as local load and energy storage charge requirement then grid-connected first
Dissolve, improve wind light generation and integrally dissolve situation, improve honourable clean energy resource utilization rate.
4) it is 30%P that the minimum operation of diesel engine is exerted oneselfN, when foundation power-balance needs diesel engine to exert oneself in 30%PNWith
When lower, in order to the minimum operation for ensureing diesel engine is exerted oneself, diesel engine can charge for energy storage.Other situations, should try one's best and avoid using bavin
Hydro power generation charges for energy storage, improves performance driving economy.
Control optimization aim of the invention also has priority.Control optimization aim priority:Because diesel engine start-stop cost
Higher than energy storage discharge and recharge cost, and micro-capacitance sensor control purpose is the reliable power supply of guarantee load and to greatest extent using scene
Exert oneself, so in micro-capacitance sensor operation control process, when needing control diesel engine start-stop, energy storage discharge and recharge, limit scene to exert oneself, limit
During load, control priority one kind be combined as energy storage charging, diesel engine stop, limit scene exert oneself;Another kind is combined as energy storage
Electric discharge, diesel engine start, limited load.
The optimization process of wind-solar-diesel storage type micro electric network coordination control of the invention, comprises the following steps:
Step S1, according to micro-capacitance sensor PCC point switching informations and schedule information, the operational mode of real-time judge micro-capacitance sensor.
When PCC points on off state is for closure, micro-capacitance sensor is the pattern that is incorporated into the power networks;When PCC points on off state is to disconnect,
Micro-capacitance sensor is off-grid operation pattern;When scheduling system issues disconnection PCC point switching informations, micro-capacitance sensor grid-connected leaves for planned
Network operation pattern;When PCC points switch is by being closed into disconnection, and during the disconnection PCC point switching informations without dispatching down distributing, micro-capacitance sensor
Network operation pattern is left for unplanned property is grid-connected;When dispatching down distributing closes PCC point switching informations, micro-capacitance sensor is that off-network turns grid-connected
Operational mode.
More than grid-connected, off-network, planned grid-connected grid-connected net and the off-network of leaving of net, unplanned property that leave turn grid-connected each operation mould
Formula is basic conception in micro-capacitance sensor, seldom repeats herein.
Step S2, when operational mode is that when being incorporated into the power networks pattern, optimization deterministic process is referring to Fig. 1.First determine whether to work as front mould
The level that scene is exerted oneself with load under formula, that is, judge the maximum gross capability and the size of load power of wind-powered electricity generation and photovoltaic.
If the gross capability of wind-powered electricity generation and photovoltaic is more than load power, current loads demand is met by illustrating honourable gross capability.
Then determine whether that whether micro-capacitance sensor PCC points exchange power higher than higher limit.If it is higher than the upper limit that micro-capacitance sensor PCC points exchange power
Value, illustrate direction of tide be micro-capacitance sensor to power distribution network direction, and trend is out-of-limit, need to reduce micro-capacitance sensor power supply and exert oneself, it is to avoid with match somebody with somebody
Grid disconnection, then control sequence be respectively energy storage charging, diesel engine stop, limit scene exert oneself;I.e. prioritizing selection is energy storage charging
Measure;It is elected to be selected as energy storage charging, when PCC points exchange power remains above higher limit, it is further continued for selecting diesel engine stop measure;When
Select as after energy storage charging, diesel engine stop, when PCC points exchange power remains above higher limit, finally selection limit scene is exerted oneself and arranged
Apply.
If PCC points exchange power and are less than higher limit, illustrate that direction of tide is micro-capacitance sensor to power distribution network direction, and trend is fair
Perhaps in the range of, micro-capacitance sensor power supply is exerted oneself in addition to load is met, and still has surplus available, then control sequence be respectively energy storage charge,
Diesel engine stop;
If the gross capability power of wind-powered electricity generation and photovoltaic is less than load power, illustrate that honourable gross capability can not meet current loads need
Ask.Then determine whether that whether micro-capacitance sensor PCC points exchange power less than lower limit, if being less than, illustrate that direction of tide is power distribution network
To micro-capacitance sensor direction, and trend is out-of-limit, need to increase micro-capacitance sensor power supply and exert oneself, it is to avoid with power distribution network off-the-line, then control sequence difference
It is energy storage electric discharge, the start of diesel engine machine, limited load;I.e. prioritizing selection is energy storage electric discharge measure;When selection energy storage electric discharge, PCC points
When exchange power is still below lower limit, the start measure of prioritizing selection diesel engine;When selection energy storage electric discharge, diesel engine start measure
Afterwards, when PCC points exchange power is still below lower limit, limited load measure is finally selected;
If it is higher than lower limit that PCC points exchange power, illustrate that direction of tide is power distribution network to micro-capacitance sensor direction, but trend is fair
Perhaps in the range of.Micro-capacitance sensor power supply is exerted oneself can not meet load, need to buy electricity from power distribution network, then by it is current buy net electricity into
This, energy storage electric discharge cost, diesel power generation cost be compared, keeping buying the electric level of net, energy storage electric discharge measure, diesel engine
Optimum choice is made in start measure.Optimum choice process is:If the current electric cost of net of buying is less than energy storage electric discharge cost or bavin
Hydro power generation cost, then keep current and buy the electric level of net, otherwise select energy storage charging measure or diesel engine start measure.Herein
Described net electricity of buying refers to buy electricity from power distribution network.
Step S3, when operational mode is off-grid operation mode, optimization deterministic process is referring to Fig. 1.Judge uncontrollable power supply
The size of gross capability and load, if being higher than, control sequence is respectively energy storage charging, diesel engine stop, limit scene and exerts oneself;If low
In then control sequence is respectively energy storage electric discharge, diesel engine start, limited load.
Step S4, when operational mode leaves net pattern for grid-connected, optimization deterministic process is referring to Fig. 2.Determine whether to be meter
Draw that property is grid-connected to leave net or unplanned property is grid-connected leaves net;
If being judged as the planned grid-connected size for leaving net, judging uncontrollable power supply gross capability and load, if uncontrollable electricity
Source gross capability be more than load, then control sequence be energy storage charging, diesel engine stop, limit scene exert oneself, if being less than, control sequence
It is energy storage electric discharge, diesel engine start, limited load;
If being judged as that unplanned property is grid-connected leaves net, the size of uncontrollable power supply gross capability and load is judged, if uncontrollable
Power supply gross capability is more than load, then control sequence is energy storage charging, wind cutting light, if being less than, control sequence is energy storage electric discharge, cuts
Load;
Step S5, when operational mode for off-network turns grid-connect mode, determines main power source of the energy storage as system, and energy storage is set
It is constant frequency and constant voltage control;Order of closing a floodgate is sent to PCC points switch S, if closing success, into grid-connect mode, optimization judged
Journey is referring to Fig. 3.
The present invention meets specific operation constraints when coordination control measure are formulated for wind-solar-diesel storage type micro-capacitance sensor
Under, it is to greatest extent optimal control using honourable regenerative resource to improve diesel generator and energy storage device service life
Target, it is ensured that safe and stable operation of the wind-solar-diesel storage type micro-capacitance sensor under different operational modes, while taking into account the economy of system.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, on the premise of the technology of the present invention principle is not departed from, some improvement and modification can also be made, these are improved and modification
Also should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of wind-solar-diesel storage type micro electric network coordination controls optimization method, it is characterized in that, comprise the following steps:
Step S1, according to micro-capacitance sensor PCC point switching informations and schedule information, the operational mode of real-time judge micro-capacitance sensor;It is wherein micro-
Operation of power networks pattern include being incorporated into the power networks pattern, off-grid operation pattern, grid-connected network operation pattern and the off-network of leaving turns grid-connected fortune
Row mode;
Step S2, when operational mode for be incorporated into the power networks pattern when, first determine whether the maximum gross capability and load work(of wind-powered electricity generation and photovoltaic
The size of rate;
If the gross capability of wind-powered electricity generation and photovoltaic be more than load power, determine whether micro-capacitance sensor PCC points exchange power whether be higher than
Higher limit;If it is higher than higher limit that micro-capacitance sensor PCC points exchange power, control sequence is respectively energy storage charging, diesel engine stop, limit
Scene is exerted oneself;If being less than, control sequence is respectively energy storage charging, diesel engine stop;
If the gross capability of wind-powered electricity generation and photovoltaic is less than load power, determine whether that micro-capacitance sensor PCC points exchange whether power is less than
Lower limit, if being less than, control sequence is respectively energy storage electric discharge, the start of diesel engine machine, limited load;If being higher than, by working as
Before buy the electric cost of net, energy storage electric discharge cost, diesel power generation cost and be compared, put keeping buying the electric level of net, energy storage
Optimum choice is made in electric measure, diesel engine start measure;
Step S3, when operational mode is off-grid operation mode, judges the size of wind-powered electricity generation and photovoltaic gross capability and load, if high
In, then control sequence be respectively energy storage charging, diesel engine stop, limit scene exert oneself;If being less than, control sequence is respectively energy storage
Electric discharge, diesel engine start, limited load;
Step S4, when operational mode leaves net pattern for grid-connected, determines whether to be the planned grid-connected net or unplanned of leaving
Property is grid-connected to leave net;
If being judged as the planned grid-connected size for leaving net, judging wind-powered electricity generation and photovoltaic gross capability and load, if uncontrollable power supply is total
Exert oneself more than load, then control sequence is that energy storage charging, diesel engine stop, limit scene are exerted oneself, if being less than, control sequence is storage
Can electric discharge, diesel engine start, limited load;
If being judged as that unplanned property is grid-connected leaves net, the size of wind-powered electricity generation and photovoltaic gross capability and load is judged, if uncontrollable power supply
Gross capability be more than load, then control sequence be energy storage charging, wind cutting light, if being less than, control sequence be energy storage electric discharge, cut it is negative
Lotus;
Step S5, when operational mode for off-network turns grid-connect mode, determines main power source of the energy storage as system;To PCC points switch S hairs
Combined floodgate is sent to order, closing success then enter grid-connect mode.
2. wind-solar-diesel storage type micro electric network coordination according to claim 1 controls optimization method, it is characterized in that, judge micro-capacitance sensor
The detailed process of operational mode is:
When PCC points on off state is for closure, micro-capacitance sensor is the pattern that is incorporated into the power networks;When PCC points on off state is to disconnect, micro- electricity
Net is off-grid operation pattern;When scheduling system issues disconnection PCC point switching informations, micro-capacitance sensor is transported for the planned grid-connected net that leaves
Row mode;When PCC points switch is by being closed into disconnection, and during the disconnection PCC point switching informations without dispatching down distributing, micro-capacitance sensor is non-
It is planned grid-connected to leave network operation pattern;When dispatching down distributing closes PCC point switching informations, micro-capacitance sensor is that off-network turns to be incorporated into the power networks
Pattern.
3. wind-solar-diesel storage type micro electric network coordination according to claim 1 controls optimization method, it is characterized in that, optimal control mesh
It is designated as:Reduce diesel engine on-off frequency;Reduce the discharge and recharge conversion times of energy storage;Honourable resource on-site elimination;When according to power
Balance needs diesel engine to exert oneself in 30%PNWhen following, diesel engine can charge for energy storage.
4. wind-solar-diesel storage type micro electric network coordination according to claim 1 controls optimization method, it is characterized in that, if wind-powered electricity generation and light
The gross capability power of volt is more than load power, and direction of tide is micro-capacitance sensor to power distribution network direction, and micro-capacitance sensor PCC points exchange power
Higher than higher limit, trend is out-of-limit, then need reduction micro-capacitance sensor power supply to exert oneself, it is to avoid with power distribution network off-the-line;If it is low that PCC points exchange power
In higher limit, then trend in allowed band, exert oneself in addition to load is met by micro-capacitance sensor power supply, still has surplus using for energy storage is filled
Electricity;
If the gross capability power of wind-powered electricity generation and photovoltaic is less than load power, direction of tide is power distribution network to micro-capacitance sensor direction, and micro- electricity
Net PCC points exchange power and are less than lower limit, and trend is out-of-limit, need to increase micro-capacitance sensor power supply and exert oneself, it is to avoid with power distribution network off-the-line;If
It is higher than lower limit that PCC points exchange power, and micro-capacitance sensor power supply is exerted oneself can not meet load, need to buy electricity from power distribution network.
5. wind-solar-diesel storage type micro electric network coordination according to claim 1 controls optimization method, it is characterized in that, buy the electric water of net
Flat, energy storage electric discharge measure, diesel engine start stimulation optimization selection course are:If the current electric cost of net of buying is discharged into less than energy storage
This or diesel power generation cost, then keep current and buy the electric level of net, otherwise selection energy storage charging measure or diesel engine start are arranged
Apply.
6. wind-solar-diesel storage type micro electric network coordination according to claim 1 controls optimization method, it is characterized in that, turn simultaneously in off-network
In net pattern, energy storage is set as constant frequency and constant voltage.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710182590.8A CN106877407A (en) | 2017-03-24 | 2017-03-24 | A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710182590.8A CN106877407A (en) | 2017-03-24 | 2017-03-24 | A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106877407A true CN106877407A (en) | 2017-06-20 |
Family
ID=59172163
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710182590.8A Pending CN106877407A (en) | 2017-03-24 | 2017-03-24 | A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106877407A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107492910A (en) * | 2017-10-10 | 2017-12-19 | 北京四方继保自动化股份有限公司 | A kind of off-network micro-capacitance sensor Self Adaptive Control of the storage containing bavin and main power source switching method |
CN107844055A (en) * | 2017-11-03 | 2018-03-27 | 南京国电南自电网自动化有限公司 | A kind of cold, heat and electricity triple supply micro-grid system optimizing operation method based on game theory |
CN108923470A (en) * | 2018-06-25 | 2018-11-30 | 武汉理工大学 | Multiple-energy-source ship energy management method and system |
CN109038670A (en) * | 2018-08-24 | 2018-12-18 | 深圳市汉储能源科技有限公司 | A kind of micro-capacitance sensor and energy-storage system controller |
CN110401217A (en) * | 2018-12-14 | 2019-11-01 | 特变电工西安电气科技有限公司 | A kind of micro-grid connection interconnection constant-power control method and device |
FR3080962A1 (en) * | 2018-05-04 | 2019-11-08 | Electricite De France | MICRO-NETWORK CONTROL METHOD |
CN111404197A (en) * | 2020-03-11 | 2020-07-10 | 国网辽宁省电力有限公司大连供电公司 | Method for island microgrid control strategy in grid-connected operation |
CN114243789A (en) * | 2021-12-30 | 2022-03-25 | 长园深瑞继保自动化有限公司 | Microgrid control method and device, microgrid main controller and storage medium |
WO2023279566A1 (en) * | 2021-07-07 | 2023-01-12 | 杭州中恒电气股份有限公司 | Independent microgrid optimization method |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104268345A (en) * | 2014-09-29 | 2015-01-07 | 东南大学 | Whole process transient state simulation method supporting microgrid planning design |
-
2017
- 2017-03-24 CN CN201710182590.8A patent/CN106877407A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104268345A (en) * | 2014-09-29 | 2015-01-07 | 东南大学 | Whole process transient state simulation method supporting microgrid planning design |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107492910A (en) * | 2017-10-10 | 2017-12-19 | 北京四方继保自动化股份有限公司 | A kind of off-network micro-capacitance sensor Self Adaptive Control of the storage containing bavin and main power source switching method |
CN107844055A (en) * | 2017-11-03 | 2018-03-27 | 南京国电南自电网自动化有限公司 | A kind of cold, heat and electricity triple supply micro-grid system optimizing operation method based on game theory |
FR3080962A1 (en) * | 2018-05-04 | 2019-11-08 | Electricite De France | MICRO-NETWORK CONTROL METHOD |
CN108923470A (en) * | 2018-06-25 | 2018-11-30 | 武汉理工大学 | Multiple-energy-source ship energy management method and system |
CN109038670A (en) * | 2018-08-24 | 2018-12-18 | 深圳市汉储能源科技有限公司 | A kind of micro-capacitance sensor and energy-storage system controller |
CN110401217A (en) * | 2018-12-14 | 2019-11-01 | 特变电工西安电气科技有限公司 | A kind of micro-grid connection interconnection constant-power control method and device |
CN111404197A (en) * | 2020-03-11 | 2020-07-10 | 国网辽宁省电力有限公司大连供电公司 | Method for island microgrid control strategy in grid-connected operation |
WO2023279566A1 (en) * | 2021-07-07 | 2023-01-12 | 杭州中恒电气股份有限公司 | Independent microgrid optimization method |
CN114243789A (en) * | 2021-12-30 | 2022-03-25 | 长园深瑞继保自动化有限公司 | Microgrid control method and device, microgrid main controller and storage medium |
CN114243789B (en) * | 2021-12-30 | 2023-11-17 | 长园深瑞继保自动化有限公司 | Micro-grid control method and device, micro-grid main controller and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106877407A (en) | A kind of wind-solar-diesel storage type micro electric network coordination controls optimization method | |
CN102710013B (en) | Park energy-network energy optimizing management system based on microgrids and implementing method thereof | |
CN109301849B (en) | Energy management combination control strategy for user-side battery energy storage power station | |
CN104135025B (en) | Microgrid connection economic optimization method based on fuzzy particle swarm algorithm | |
AU2018102183A4 (en) | Grid-connected tie-line power control system of micro-grid and method thereof | |
CN109217290A (en) | Meter and the microgrid energy optimum management method of electric car charge and discharge | |
CN110323785B (en) | Multi-voltage-level direct-current power distribution network optimization scheduling method for source network load storage interaction | |
CN103296754A (en) | Method for controlling distributed power resources of active power distribution networks | |
CN104410091B (en) | Wind energy storage management system based on converter control and wind energy storage management system control method | |
CN109066822A (en) | A kind of multi-point dispersion formula distribution system dispatching method based on electric power electric transformer | |
CN105305495A (en) | Dispatching method for multi-energy complement micro-grid system | |
CN102664401A (en) | Power grid control method based on battery service life model | |
CN108054775A (en) | A kind of microgrid control method | |
CN106992544A (en) | Microgrid energy real-time management control method | |
CN111049132B (en) | Large-area power failure dynamic island recovery method for active power distribution network | |
CN209345053U (en) | The electric generation management system that a kind of nuclear power, photovoltaic are combined with power energy storage | |
CN111384719A (en) | Peak clipping and valley filling optimized scheduling method for distributed energy storage power station during photovoltaic grid connection | |
CN107508304A (en) | A kind of partition control method of battery energy storage system | |
CN113991719B (en) | Energy consumption optimization scheduling method and system for island group participated in by electric ship | |
CN110065410A (en) | A kind of electric car charge and discharge rate control method based on fuzzy control | |
CN109193803A (en) | Multiple-energy-source intelligent control integratedization system and multiple-energy-source intelligent control method | |
CN115764927A (en) | Power grid peak regulation method and system based on wind, light, water and fire multi-energy complementary characteristics | |
CN109494813A (en) | A kind of power dispatching method, electronic equipment and storage medium | |
CN104281984B (en) | A kind of method of supplying power to for micro-capacitance sensor economical operation | |
CN109936151A (en) | A kind of control method participating in fired power generating unit primary frequency modulation by micro-grid system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170620 |
|
RJ01 | Rejection of invention patent application after publication |