CN108233422A - A kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL - Google Patents

A kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL Download PDF

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CN108233422A
CN108233422A CN201810135327.8A CN201810135327A CN108233422A CN 108233422 A CN108233422 A CN 108233422A CN 201810135327 A CN201810135327 A CN 201810135327A CN 108233422 A CN108233422 A CN 108233422A
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value
electricity
energy
storage system
power
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CN108233422B (en
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卞德振
张晓峰
张可欣
辛娜
谭毅
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Dagong Qingdao New Energy Material Technology Research Institute Co Ltd
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Dagong Qingdao New Energy Material Technology Research Institute Co Ltd
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    • H02J3/383
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388Islanding, i.e. disconnection of local power supply from the network
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Abstract

The invention belongs to light to store up micro-capacitance sensor technical field, more particularly to a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL.Based on photovoltaic and load estimation, optimized operation control is realized respectively under grid-connected and off-network to light storage micro-capacitance sensor.The present invention is applied to light using photovoltaic and load prediction and stores up micro-capacitance sensor, reaches and stabilizes photovoltaic, peak load shifting, smooth output equivalent fruit, realizes that economic benefit improves 5% 10%.

Description

A kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL
Technical field
The invention belongs to light to store up micro-capacitance sensor technical field, more particularly to a kind of light storage micro-capacitance sensor operation based on PREDICTIVE CONTROL Control method.
Background technology
Since distributed photovoltaic power generation has, power supply is flexible, save power transmission and transformation investment, reduces line loss, resource and environment The advantages that friendly, provides stable, reliable electric energy supply to the user, and the energy in bulk power grid failure by being connect with bulk power grid Off-grid operation ensure that the continuity of power supply and high power quality.Recent years develops rapidly, and as the one of country Item developing long-term strategy.
But photovoltaic distributed power generation, there is also the characteristics of randomness is strong, intermittence is apparent, output fluctuating range is big, wave Therefore dynamic frequency also irregularities, add in energy storage composition light storage micro-capacitance sensor, realize the smooth output of photovoltaic generation, solve demand The reliable and stable power supply of side load, and realize that peak load shifting realizes economic electricity consumption for user by effective control mode, it builds If power grid friendly micro-capacitance sensor.
Light storage micro-capacitance sensor mainly by distributed photovoltaic power generation system, battery energy storage system, load system and relevant is matched The compositions such as electricity, Energy Management System (EMS) including hair, it is defeated, match, with the small-sized local power net including management system, and pass through Unique points of common connection access bulk power grid, can be incorporated into the power networks or independent operating.Wherein, when having power grid support, light Energy-storage system is lied prostrate as the main power supply micro battery in micro-capacitance sensor, load electricity consumption mostlys come from photovoltaic generation, and energy-storage system is then It can smoothly photovoltaic generation fluctuate, improve the power grid access friendly of micro battery;During grid power blackout, light storage micro-capacitance sensor then starts should Anxious stand-by power supply function establishes the support of microgrid busbar by energy accumulation current converter, and photovoltaic generating system can be that the load in micro-capacitance sensor carries For lasting energy supply.
China only subsidizes parallel net type distributed photovoltaic at present, and the subsidy amount of money will constantly decline, and add in energy storage Although composition light storage micro-capacitance sensor solves the problems such as electricity consumption reliability, but increasing cost causes increase return period, investment return Than being deteriorated.
Invention content
To solve the above problem of the existing technology, the present invention provides a kind of light based on PREDICTIVE CONTROL to store up micro-capacitance sensor Progress control method can realize maximization of economic benefit.To achieve the above object, the technical solution adopted by the present invention is as follows: A kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL, it is characterized in that:Based on photovoltaic and load estimation, light is stored up micro- Power grid realizes optimized operation control respectively under grid-connected and off-network, is as follows:
Under grid-connect mode:
(1) electricity price paddy period, the charging of energy-storage system constant voltage mode, electricity are charged to setting value;
(2) the electricity price peak period, when photovoltaic power value is less than bearing power value, the electric discharge of energy-storage system constant power mode is put Electrical power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, work as energy-storage system When electricity is preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity alarming value, stops Electric discharge, micro-capacitance sensor only take electricity from power grid;
When photovoltaic power value is more than bearing power value, the charging of energy-storage system constant power mode, charge power value=coefficient * (photovoltaic power value-bearing power value), coefficient value range 0~1, can setting and modifying,
When energy-storage system electricity is raised to highest early warning value, charge power is reduced to relatively low definite value, when energy storage electricity is raised to most During high electricity alarming value, stop charging, the extra electricity online of photovoltaic generation;
(3) electricity price usually section 1, when normal in prediction photovoltaic generation future short period, energy-storage system is according to invariable power mould Formula discharge, discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, When energy-storage system electricity is preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity report During alert value, stop electric discharge, micro-capacitance sensor only takes electricity from power grid;It can not work normally, store up when in the prediction photovoltaic generation following short time It can system standby;
(4) electricity price usually section 2, when photovoltaic power value is more than bearing power value, the charging of energy-storage system constant power mode is filled Electrical power value=coefficient * (photovoltaic power value-bearing power value), coefficient value range 0~1, can setting and modifying, work as energy-storage system When electricity is raised to highest early warning value, charge power is reduced to relatively low definite value, when energy storage electricity is raised to highest electricity alarming value, stops Charging, the extra electricity online of photovoltaic generation;When photovoltaic power value is less than bearing power value, energy-storage system is standby;
(5) electricity price usually section 3, when energy-storage system remaining capacity is more than minimum electricity early warning value, energy-storage system is according to permanent work( Rate pattern is discharged, and discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1 can set and repair Change, when energy-storage system electricity is preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity During alarming value, energy-storage system is standby, and micro-capacitance sensor only takes electricity from power grid;
Micro-grid connection pattern goes to off-network pattern:
(1) predict that generated output is more than load power in photovoltaic system future short period, energy-storage system electricity is less than most During high early warning value, the charging of energy-storage system constant power mode, charge power value=(photovoltaic power value-bearing power value), load is just Often work;Energy-storage system electricity be more than highest early warning value, and less than when highest electricity alarming value when, charge power is reduced to relatively low fixed Value, photovoltaic system limitation generated output, photovoltaic power=coefficient * load powers, coefficient value 1-1.1, load normal work; When energy-storage system electricity rises to highest alarming value, energy-storage system starts to discharge with relatively low definite value, at this point, limitation photovoltaic generation work( Rate, photovoltaic power=coefficient * load powers, coefficient value 0.9-1, load normal work;
(2) predict that generated output is less than load power, energy-storage system electricity energy storage system in photovoltaic system future short period When electricity of uniting is more than minimum early warning value, the electric discharge of energy-storage system constant power mode, discharge power value=coefficient * (bearing power value-light Lie prostrate performance number), coefficient value 1-1.1, load normal work;Energy-storage system electricity be less than highest early warning value, and more than when most During low battery alarming value, load system retains first order load, discharge power value=coefficient * (bearing power value-photovoltaic power value); Coefficient value is 1-1.1, when energy-storage system electricity minimizes alarming value, shuts down load system.
The electricity price paddy period under the grid-connect mode is the same day 23:00~next day 7:00, charging setting value is energy-storage system The 50%-60% of specified total electricity.
The electricity price peak period under the grid-connect mode is the same day 8:30~same day 11:30th, the same day 16:00~same day 21:00, Minimum early warning value is the 30%-35% of the specified total electricity of energy-storage system, and highest early warning value is the specified total electricity of energy-storage system 85%-90%, minimum electricity alarming value are the 20%-25% of the specified total electricity of energy-storage system, and highest electricity alarming value is energy storage The 95%-98% of system nominal total electricity, relatively low definite value are the 1%-2% of the specified total electricity of energy-storage system.
Usually section 1 is the same day 7 to electricity price under the grid-connect mode:00~same day 8:30, the interior following short time is 1 hour Interior, minimum early warning value is the 30%-35% of the specified total electricity of energy-storage system, and minimum electricity alarming value is the specified total electricity of energy-storage system The 20%-25% of amount, relatively low definite value are the 1%-2% of the specified total electricity of energy-storage system.
Usually section 2 is the same day 11 to electricity price under the grid-connect mode:30~same day 16:00, highest early warning value is energy storage system The 85%-90% for specified total electricity of uniting, highest electricity alarming value is the 95%-98% of the specified total electricity of energy-storage system, relatively low fixed It is worth the 1%-2% for the specified total electricity of energy-storage system.
Usually section 3 is the same day 21 to electricity price under the grid-connect mode:00~same day 23:00, minimum early warning value is energy storage system Unite the 35% of specified total electricity, minimum electricity alarming value is the 20%-25% of the specified total electricity of energy-storage system, and relatively low definite value is storage The 1%-2% of energy system nominal total electricity.
The micro-grid connection pattern is gone in the following short time under off-network pattern as in 1 hour, highest early warning value is The 85%-90% of the specified total electricity of energy-storage system, highest electricity alarming value are the 95%-98% of the specified total electricity of energy-storage system, Minimum early warning value is the 30%-35% of the specified total electricity of energy-storage system, and minimum electricity alarming value is the specified total electricity of energy-storage system 20%-25%, relatively low definite value be the specified total electricity of energy-storage system 1%-2%.
The present invention is applied to light using photovoltaic and load prediction and stores up micro-capacitance sensor, reaches and stabilizes photovoltaic, peak load shifting, smooth defeated Go out and other effects, realize that economic benefit improves 5%-10%.
Specific embodiment
The present invention is further described with reference to embodiments:
Embodiment 1
A kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL, based on photovoltaic and load estimation, stores up light micro- Power grid realizes optimized operation control respectively under grid-connected and off-network, is as follows:
Under grid-connect mode:
(1) (the same day 23 electricity price paddy period:00~next day 7:00), energy-storage system constant voltage mode charges, and electricity is charged to setting It is worth (the 50% of the specified total electricity of energy-storage system);
(2) (the same day 8 electricity price peak period:30~same day 11:30th, the same day 16:00~same day 21:00), when photovoltaic power value During less than bearing power value, the electric discharge of energy-storage system constant power mode, discharge power value=coefficient * (bearing power value-photovoltaic power Value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity is preferably minimized early warning value (the specified total electricity of energy-storage system The 35% of amount) when, discharge power is reduced to relatively low definite value (the 1% of the specified total electricity of energy-storage system), when energy storage electricity is preferably minimized During electricity alarming value (the 25% of the specified total electricity of energy-storage system), stop electric discharge, micro-capacitance sensor only takes electricity from power grid;Work as photovoltaic power When value is more than bearing power value, the charging of energy-storage system constant power mode, charge power value=coefficient * (photovoltaic power value-load work( Rate value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity is raised to highest early warning value, (energy-storage system is specified total The 85% of electricity) when, charge power is reduced to relatively low definite value (the 1% of the specified total electricity of energy-storage system), when energy storage electricity is raised to most During high electricity alarming value (the 95% of the specified total electricity of energy-storage system), stop charging, the extra electricity online of photovoltaic generation;
(3) electricity price usually (same day 7 of section 1:00~same day 8:30), when (one is small in prediction photovoltaic generation future short period When it is interior) normally, energy-storage system discharges according to constant power mode, discharge power value=coefficient * (bearing power value-photovoltaic power Value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity is preferably minimized early warning value (the specified total electricity of energy-storage system The 35% of amount) when, discharge power is reduced to relatively low definite value (the 1% of the specified total electricity of energy-storage system), when energy storage electricity is preferably minimized During electricity alarming value (the 25% of the specified total electricity of energy-storage system), stop electric discharge, micro-capacitance sensor only takes electricity from power grid;When prediction photovoltaic Power generation future can not work normally for one hour, and energy-storage system is standby;
(4) electricity price usually (same day 11 of section 2:30~same day 16:00), when photovoltaic power value is more than bearing power value, storage The constant power mode charging of energy system, charge power value=coefficient * (photovoltaic power value-bearing power value), coefficient value range 0~ 1, can setting and modifying, when energy-storage system electricity is raised to highest early warning value (the 85% of the specified total electricity of energy-storage system), charge work( Rate is reduced to relatively low definite value (the 1% of the specified total electricity of energy-storage system), when energy storage electricity is raised to highest electricity alarming value (energy-storage system The 95% of specified total electricity) when, stop charging, the extra electricity online of photovoltaic generation;When photovoltaic power value is less than bearing power value When, energy-storage system is standby;
(5) electricity price usually (same day 21 of section 3:00~same day 23:00), when energy-storage system remaining capacity is pre- more than minimum electricity Alert (the 35% of the specified total electricity of energy-storage system) value, energy-storage system discharge according to constant power mode, discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity be preferably minimized it is pre- During alert value (the 35% of the specified total electricity of energy-storage system), discharge power be reduced to relatively low definite value (the specified total electricity of energy-storage system 1%), when energy storage electricity is preferably minimized electricity alarming value (the 25% of the specified total electricity of energy-storage system), energy-storage system is standby, micro- Power grid only takes electricity from power grid.
Micro-grid connection pattern goes to off-network pattern:
(1) predict that generated output is more than load power, energy-storage system (in one hour) in photovoltaic system future short period When electricity is less than highest early warning value (the 85% of the specified total electricity of energy-storage system), the charging of energy-storage system constant power mode, charge work( Rate value=(photovoltaic power value-bearing power value), load normal work;Energy-storage system electricity is more than highest early warning value (energy storage system Unite the 85% of specified total electricity), and less than when highest electricity alarming value (the 95% of the specified total electricity of energy-storage system) when, charge work( Rate is reduced to relatively low definite value (the 1% of the specified total electricity of energy-storage system), photovoltaic system limitation generated output, photovoltaic power=coefficient * Load power, coefficient value 1-1.1, load normal work;Energy-storage system electricity rises to highest alarming value, and (energy-storage system is specified The 95% of total electricity) when, energy-storage system starts to discharge with relatively low definite value (1% of the specified total electricity of energy-storage system), at this point, limitation Photovoltaic generation power, photovoltaic power=coefficient * load powers, coefficient value 0.9-1, load normal work;
(2) predict that generated output is less than load power, energy-storage system (in one hour) in photovoltaic system future short period When electricity energy-storage system electricity is more than minimum early warning value (the 35% of the specified total electricity of energy-storage system), energy-storage system constant power mode Electric discharge, discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value 1-1.1, load normal work;Storage Can system charge be less than highest early warning value (the 35% of the specified total electricity of energy-storage system), and more than when (the storage of minimum electricity alarming value The 25% of energy system nominal total electricity) when, load system reservation first order load, discharge power value=coefficient * (bearing power value- Photovoltaic power value);Coefficient value is 1-1.1, energy-storage system electricity minimize alarming value (the specified total electricity of energy-storage system 25%) when, load system is shut down.
Embodiment 2
A kind of each step of the light storage micro-grid operational control method of described in the present embodiment based on PREDICTIVE CONTROL with Identical in embodiment 1, different technical parameters are:
1) charging setting value is the 55% of the specified total electricity of energy-storage system;
2) minimum early warning value is the 32% of the specified total electricity of energy-storage system;
3) highest early warning value is the 87% of the specified total electricity of energy-storage system;
4) minimum electricity alarming value is the 22% of the specified total electricity of energy-storage system;
5) highest electricity alarming value is the 96% of the specified total electricity of energy-storage system;
6) relatively low definite value is the 1.5% of the specified total electricity of energy-storage system.
Embodiment 3
A kind of each step of the light storage micro-grid operational control method of described in the present embodiment based on PREDICTIVE CONTROL with Identical in embodiment 1, different technical parameters are:
1) charging setting value is the 60% of the specified total electricity of energy-storage system;
2) minimum early warning value is the 30% of the specified total electricity of energy-storage system;
3) highest early warning value is the 90% of the specified total electricity of energy-storage system;
4) minimum electricity alarming value is the 20% of the specified total electricity of energy-storage system;
5) highest electricity alarming value is the 98% of the specified total electricity of energy-storage system;
6) relatively low definite value is the 2% of the specified total electricity of energy-storage system.
Finally it should be noted that:The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that:Its according to Can so modify to the technical solution recorded in foregoing embodiments either to which part or all technical features into Row equivalent replacement;And these modifications or replacement, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (7)

1. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL, it is characterized in that:It is right based on photovoltaic and load estimation Light stores up micro-capacitance sensor and realizes optimized operation control respectively under grid-connected and off-network, is as follows:
Under grid-connect mode:
(1) electricity price paddy period, the charging of energy-storage system constant voltage mode, electricity are charged to setting value;
(2) the electricity price peak period, when photovoltaic power value is less than bearing power value, the electric discharge of energy-storage system constant power mode, discharge work( Rate value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity When being preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity alarming value, stops putting Electricity, micro-capacitance sensor only take electricity from power grid;
When photovoltaic power value is more than bearing power value, the charging of energy-storage system constant power mode, charge power value=coefficient * (light Lie prostrate performance number-bearing power value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity is raised to highest early warning value When, charge power is reduced to relatively low definite value, when energy storage electricity is raised to highest electricity alarming value, stops charging, photovoltaic generation is extra Electricity is surfed the Internet;
(3) electricity price usually section 1, when normal in prediction photovoltaic generation future short period, energy-storage system is put according to constant power mode Electricity, discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, work as storage When energy system charge is preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity alarming value When, stop electric discharge, micro-capacitance sensor only takes electricity from power grid;It can not work normally when in the prediction photovoltaic generation following short time, energy storage system It unites standby;
(4) electricity price usually section 2, when photovoltaic power value is more than bearing power value, the charging of energy-storage system constant power mode, charge work( Rate value=coefficient * (photovoltaic power value-bearing power value), coefficient value range 0~1, can setting and modifying, when energy-storage system electricity When being raised to highest early warning value, charge power is reduced to relatively low definite value, when energy storage electricity is raised to highest electricity alarming value, stops filling Electricity, the extra electricity online of photovoltaic generation;When photovoltaic power value is less than bearing power value, energy-storage system is standby;
(5) electricity price usually section 3, when energy-storage system remaining capacity is more than minimum electricity early warning value, energy-storage system is according to invariable power mould Formula discharge, discharge power value=coefficient * (bearing power value-photovoltaic power value), coefficient value range 0~1, can setting and modifying, When energy-storage system electricity is preferably minimized early warning value, discharge power is reduced to relatively low definite value, when energy storage electricity is preferably minimized electricity report During alert value, energy-storage system is standby, and micro-capacitance sensor only takes electricity from power grid;
Micro-grid connection pattern goes to off-network pattern:
(1) predict that generated output is more than load power in photovoltaic system future short period, it is pre- that energy-storage system electricity is less than highest During alert value, the charging of energy-storage system constant power mode, charge power value=(photovoltaic power value-bearing power value), the normal work of load Make;Energy-storage system electricity be more than highest early warning value, and less than when highest electricity alarming value when, charge power is reduced to relatively low definite value, Photovoltaic system limits generated output, photovoltaic power=coefficient * load powers, coefficient value 1-1.1, load normal work;Storage When energy system charge rises to highest alarming value, energy-storage system starts to discharge with relatively low definite value, at this point, limitation photovoltaic generation power, Photovoltaic power=coefficient * load powers, coefficient value 0.9-1, load normal work;
(2) predict that generated output is less than load power, energy-storage system electricity energy-storage system electricity in photovoltaic system future short period When amount is more than minimum early warning value, the electric discharge of energy-storage system constant power mode, discharge power value=coefficient * (bearing power value-photovoltaic work( Rate value), coefficient value 1-1.1, load normal work;Energy-storage system electricity be less than highest early warning value, and more than when minimum electricity When measuring alarming value, load system retains first order load, discharge power value=coefficient * (bearing power value-photovoltaic power value);Coefficient Value is 1-1.1, when energy-storage system electricity minimizes alarming value, shuts down load system.
2. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute It is the same day 23 to state the electricity price paddy period under grid-connect mode:00~next day 7:00, charging setting value is the specified total electricity of energy-storage system 50%-60%.
3. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute It is the same day 8 to state the electricity price peak period under grid-connect mode:30~same day 11:30th, the same day 16:00~same day 21:00, minimum early warning value For the 30%-35% of the specified total electricity of energy-storage system, highest early warning value is the 85%-90% of the specified total electricity of energy-storage system, most Low battery alarming value is the 20%-25% of the specified total electricity of energy-storage system, and highest electricity alarming value is the specified total electricity of energy-storage system The 95%-98% of amount, relatively low definite value are the 1%-2% of the specified total electricity of energy-storage system.
4. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute Stating the electricity price under grid-connect mode, usually section 1 is the same day 7:00~same day 8:30, the interior following short time is minimum early warning in 1 hour It is worth the 30%-35% for the specified total electricity of energy-storage system, minimum electricity alarming value is the 20%- of the specified total electricity of energy-storage system 25%, relatively low definite value is the 1%-2% of the specified total electricity of energy-storage system.
5. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute Stating the electricity price under grid-connect mode, usually section 2 is the same day 11:30~same day 16:00, highest early warning value is the specified total electricity of energy-storage system The 85%-90% of amount, highest electricity alarming value are the 95%-98% of the specified total electricity of energy-storage system, and relatively low definite value is energy storage system The 1%-2% for specified total electricity of uniting.
6. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute Stating the electricity price under grid-connect mode, usually section 3 is the same day 21:00~same day 23:00, minimum early warning value is the specified total electricity of energy-storage system The 30%-35% of amount, minimum electricity alarming value are the 20%-25% of the specified total electricity of energy-storage system, and relatively low definite value is energy storage system The 1%-2% for specified total electricity of uniting.
7. a kind of light storage micro-grid operational control method based on PREDICTIVE CONTROL according to claim 1, it is characterized in that:Institute Micro-grid connection pattern is stated to go in the following short time under off-network pattern as in 1 hour, highest early warning value is energy-storage system volume Determine the 85%-90% of total electricity, 95%-98% of the highest electricity alarming value for the specified total electricity of energy-storage system, minimum early warning value For the 30%-35% of the specified total electricity of energy-storage system, minimum electricity alarming value is the 20%- of the specified total electricity of energy-storage system 25%, relatively low definite value is the 1%-2% of the specified total electricity of energy-storage system.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109256802A (en) * 2018-10-08 2019-01-22 南京千智电气科技有限公司 A kind of peak regulation method for controlling power supply and device
CN112421657A (en) * 2020-10-15 2021-02-26 珠海格力电器股份有限公司 Load power control method and device in light storage centrifugal machine and light storage centrifugal machine
CN114362220A (en) * 2022-01-14 2022-04-15 国网上海市电力公司 Energy storage power station peak regulation auxiliary decision method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007295680A (en) * 2006-04-24 2007-11-08 Matsushita Electric Ind Co Ltd Load control device
CN102856930A (en) * 2012-10-11 2013-01-02 天津市电力公司 Micro-grid economic dispatching control method
CN103390900A (en) * 2013-07-22 2013-11-13 上海电力学院 Distributed photovoltaic energy storage system and energy management method
CN103997058A (en) * 2014-05-08 2014-08-20 东北大学 Control method of wind, photovoltaic and storage micro grid system
CN104767224A (en) * 2015-03-04 2015-07-08 华南理工大学 Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid
CN106651026A (en) * 2016-12-20 2017-05-10 太原理工大学 Multi-time-scale micro grid energy management optimization scheduling method
CN106849142A (en) * 2017-01-17 2017-06-13 无锡协鑫分布式能源开发有限公司 User's sidelight stores up integral system demand charge capacity configuration software algorithm
CN106961116A (en) * 2017-01-17 2017-07-18 无锡协鑫分布式能源开发有限公司 The integrated micro-grid system of demand sidelight storage

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007295680A (en) * 2006-04-24 2007-11-08 Matsushita Electric Ind Co Ltd Load control device
CN102856930A (en) * 2012-10-11 2013-01-02 天津市电力公司 Micro-grid economic dispatching control method
CN103390900A (en) * 2013-07-22 2013-11-13 上海电力学院 Distributed photovoltaic energy storage system and energy management method
CN103997058A (en) * 2014-05-08 2014-08-20 东北大学 Control method of wind, photovoltaic and storage micro grid system
CN104767224A (en) * 2015-03-04 2015-07-08 华南理工大学 Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid
CN106651026A (en) * 2016-12-20 2017-05-10 太原理工大学 Multi-time-scale micro grid energy management optimization scheduling method
CN106849142A (en) * 2017-01-17 2017-06-13 无锡协鑫分布式能源开发有限公司 User's sidelight stores up integral system demand charge capacity configuration software algorithm
CN106961116A (en) * 2017-01-17 2017-07-18 无锡协鑫分布式能源开发有限公司 The integrated micro-grid system of demand sidelight storage

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109256802A (en) * 2018-10-08 2019-01-22 南京千智电气科技有限公司 A kind of peak regulation method for controlling power supply and device
CN112421657A (en) * 2020-10-15 2021-02-26 珠海格力电器股份有限公司 Load power control method and device in light storage centrifugal machine and light storage centrifugal machine
CN114362220A (en) * 2022-01-14 2022-04-15 国网上海市电力公司 Energy storage power station peak regulation auxiliary decision method
CN114362220B (en) * 2022-01-14 2023-08-15 国网上海市电力公司 Peak regulation auxiliary decision-making method for energy storage power station

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