CN110112783A - Photovoltaic storage battery micro-capacitance sensor dispatch control method - Google Patents

Photovoltaic storage battery micro-capacitance sensor dispatch control method Download PDF

Info

Publication number
CN110112783A
CN110112783A CN201910433806.2A CN201910433806A CN110112783A CN 110112783 A CN110112783 A CN 110112783A CN 201910433806 A CN201910433806 A CN 201910433806A CN 110112783 A CN110112783 A CN 110112783A
Authority
CN
China
Prior art keywords
power
battery
photovoltaic
charge
power generation
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
Application number
CN201910433806.2A
Other languages
Chinese (zh)
Other versions
CN110112783B (en
Inventor
李雨桐
潘文宇
郝斌
康靖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Institute of Building Research Co Ltd
Original Assignee
Shenzhen Institute of Building Research Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Building Research Co Ltd filed Critical Shenzhen Institute of Building Research Co Ltd
Priority to CN201910433806.2A priority Critical patent/CN110112783B/en
Publication of CN110112783A publication Critical patent/CN110112783A/en
Application granted granted Critical
Publication of CN110112783B publication Critical patent/CN110112783B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • H02J3/383
    • 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
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • 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 discloses a kind of photovoltaic storage battery micro-capacitance sensor dispatch control method, technical problems to be solved are to give full play to battery to the adjustment effect of power grid peak-valley difference.Method of the invention, the following steps are included: establishing the power supply system that photovoltaic power generation, battery and power grid are constituted, it powers to building electricity consumption load, predict accumulative load and photovoltaic power generation, calculate prediction net load, judgement prediction net load value, according to the comparison result of real-time storage battery charge state and its maximum allowable state-of-charge amount, controls battery charging, electric discharge or standby working condition less than 0.The present invention is compared with prior art, make full use of the photovoltaic power generation energy, using the life of storage battery as important consideration factor, battery is preferably played to the adjustment effect of power grid peak-valley difference, consider the influence of tou power price, improve network load fluctuation, is suitable for nearly zero, net zero energy consumption building electricity consumption and controls, it realizes finally using economy as optimization aim, promotes constructing operation economy.

Description

Photovoltaic storage battery micro-capacitance sensor dispatch control method
Technical field
The present invention relates to a kind of dispatch control methods of architectural power supply, especially a kind of to be built using batteries to store energy device Build the dispatch control method of power supply.
Background technique
Energy-saving and emission-reduction and reply climate change are the important issues of the world today.In building field, with higher architecture character Building energy conservation is just pushed to the new stage by " the nearly zero energy consumption building " that can and make full use of renewable energy to be characterized.With science and technology Progress, distributed energy technology reaches its maturity, and price constantly declines.Solar energy power generating as application is the most universal can Renewable sources of energy form has great importance to building non-renewable energy consumption is reduced.Meanwhile sustainable growth and the wave of building load It is dynamic that the peak valley value difference of electric system municipal administration power supply grid is caused constantly to increase, lead to operation of power networks inefficiency, causes power train System investment waste.Batteries to store energy device is arranged in energy demand side, can be stabilized power grid peak load difference, effectively be solved electricity The low problem of net operational efficiency.It therefore, include that the power supply system of photovoltaic power generation and battery will become following close The important energy supply form of zero energy consumption building.
As demand Side Management means, tou power price policy is implemented in many cities.According to current electric power storage The service life in pond and charge and discharge cost (after considering initial cost), rational management battery participation power peak regulation can under tou power price Enough to realize profit, future adjusts the inclination to energy storage device with the further decline of battery price and national industrial policies, Distributed electric power storage will have bigger attraction.Meanwhile the effect of peak clipping brought by battery can reduce network transformer appearance Amount reduces basic charge as per installed capacity spending.But the photovoltaic power generation apparatus that the prior art is run under construction, batteries to store energy device are past Toward backup power source is only used as, starts when power grid powers and breaks down, do not play due adjustment effect.Give full play to electric power storage The pondage capacity in pond can not only bring income for building operation, solve electric power peak-valley difference using market mechanism, save power generation and set Standby and power grid construction investment, realizes the optimization of social resources;Also it can make full use of renewable energy, to build nearly zero energy Consumption or even zero energy consumption building provide technical support.
Summary of the invention
The object of the present invention is to provide a kind of photovoltaic storage battery micro-capacitance sensor dispatch control method, technical problems to be solved are Battery is given full play to the adjustment effect of power grid peak-valley difference.
The invention adopts the following technical scheme: a kind of photovoltaic storage battery micro-capacitance sensor dispatch control method, comprising the following steps:
One, the power supply system that photovoltaic power generation, battery and power grid are constituted is established, is powered to building electricity consumption load; The photovoltaic power generation is as the main energy supply energy, and battery is as the auxiliary energy supply energy, and power grid is as the spare energy supply energy;
Two, accumulative load and photovoltaic power generation are predicted
In hours, to the building electricity consumption load PLoad of the following long interval of timeHWith photovoltaic power generation power output PEPVHIt carries out pre- It surveys, after carrying out similitude comparison, determines photovoltaic power generation power output PEPVHPredicted value and building electricity consumption load PLoadHPredicted value;
The similitude of photovoltaic power generation compares are as follows: with the instantaneous power average value and its corresponding day of previous hour photovoltaic power generation Destiny evidence compares the historical data of photovoltaic power generation unit hour instantaneous power average value and weather data item by item, finds closest Weather data, using the subsequent period photovoltaic power generation of historical data power output as photovoltaic power generation power output PEPVHPredicted value;
The similitude of building electricity consumption compares are as follows: with the instantaneous power average value of previous hour building electricity consumption and its corresponding point When electricity price data, item by item compare building electricity consumption instantaneous power average value and its corresponding tou power price historical data, find The instantaneous power average value and tou power price data of building electricity consumption differ the smallest data, with the instantaneous function of the historical building electricity consumption 1 hour accumulative electricity in the subsequent period data of rate average value is as the accumulative load PLoad of predictionHPredicted value;
Three, prediction net load is calculated
Calculate prediction net load NLoadHValue:
NLoadH=PLoadH-PEPVH
Four, judgement prediction net load NLoadHValue is less than 0, in minutes between the short time, according to the charged shape of real-time battery The comparison result of state and its maximum allowable state-of-charge amount, the charging of control battery, electric discharge or standby working condition:
(1) battery SOC is greater than its maximum permissible value in real time, and battery charge power is zero, and photovoltaic power generation undertakes for building The power supply of electric load;
(2) battery SOC is less than its maximum permissible value in real time, and battery is charged state.
Step two long interval of time step-length of the invention is 0.5 hour to the daily sunshine-duration;The step 4 is in short-term Between interval steps be 1 minute to 60 minutes.
Step two long interval of time step-length of the invention is 1 hour;The step 4 short time interval step-length is 5 minutes.
Step four of the invention (2) is in crest segment, paddy section or the usually state of section according to real-time grid, further divides For two kinds of situations:
1) when power grid be in paddy section or it is flat when section state, NextState be crest segment state when, to battery charge, if photovoltaic Remaining TV university is generated electricity in battery charge power, is charged by photovoltaic power generation, if electricity is less than battery charging function more than photovoltaic power generation Rate, jointly to charge the battery by photovoltaic power generation and power grid;
2) when power grid be in crest segment or it is flat when section state, NextState be paddy section state when, battery is filled by photovoltaic power generation Electricity.
The 1st in step four of the invention (2)), during the charging process, instantaneous building electricity consumption load is greater than photovoltaic power generation Actual generation power, photovoltaic power generation all give building electricity consumption load to power, and insufficient power section is supplied by power grid, and power grid is to storage Battery charges.
The 1st in step four of the invention (2)), during the charging process, instantaneous building electricity consumption load is less than photovoltaic power generation function Rate is controlled by following two situation:
1. electricity is more than charge power CE more than photovoltaic power generation, charged by photovoltaic power generation to battery,
CE=Bat_Cp* (maxSOC-SOCH-1)*Chr_rat
Wherein, Bat_Cp is accumulator capacity, and maxSOC is the maximum allowable state-of-charge amount of battery, SOCH-1It is upper one The storage battery charge state amount of hour, Chr_rat are maximum allowable rate of charge, are filled for battery maximum charge speed with maximum The ratio between electricity;
2. electricity is less than charge power more than photovoltaic power generation, charged the battery jointly using power grid and photovoltaic power generation.
The 2nd in step four of the invention (2)), during the charging process, instantaneous building electricity consumption load is greater than photovoltaic power generation Actual generation power, photovoltaic power generation all give building electricity consumption load to power, and insufficient power section is supplied battery by power grid and filled Electrical power is zero.
The 2nd in step four of the invention (2)), during the charging process, instantaneous building electricity consumption load is less than photovoltaic power generation function Rate is controlled by following two situation:
1. electricity is more than charge power CE more than photovoltaic power generation, charged by photovoltaic power generation to battery;
2. electricity is less than charge power more than photovoltaic power generation, battery charge power is zero.
Step four judgement prediction net load NLoad of the inventionHMore than or equal to 0, crest segment or paddy section are in storage by power grid Battery is controlled:
(1) power grid is in paddy section state, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval Are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, light more than photovoltaic power generation Volt power generation charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is filled jointly to battery by photovoltaic power generation and power grid Electricity;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is given Battery charge power is zero;
(2) when power grid is in crest segment state, judge battery transient state state-of-charge,
1) storage battery charge state is less than its minimum allowable state-of-charge, and it is nought state that battery, which keeps discharge power,;
2) storage battery charge state is greater than minimum allowable state-of-charge, controls respectively by following two mode:
1. photovoltaic generation power is more than building electricity consumption load, it is nought state that battery, which keeps discharge power,;
2. photovoltaic generation power is less than building electricity consumption load, if battery discharge power DE is greater than building electricity consumption load and subtracts The net load that photovoltaic generation power obtains, electric energy needed for battery supplies building electricity consumption load;If battery discharge power DE is small In net load, electric energy needed for battery and power grid supply building electricity consumption load jointly,
DE=Bat_Cp* (SOCH-1-minSOC)*Dis_rat
Wherein, minSOC is battery minimum allowable state-of-charge amount, and Dis_rat is maximum allowable discharge-rate, to store The ratio between the battery maximum velocity of discharge and maximum pd quantity.
Step four judgement prediction net load NLoad of the inventionHMore than or equal to 0, power grid is in usually section, judges lower a period of time The tou power price state of section,
Next tou power price state is paddy section, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval Are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, light more than photovoltaic power generation Volt power generation charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is filled jointly to battery by photovoltaic power generation and power grid Electricity;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is given Battery charge power is zero;
Next tou power price state is crest segment, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval Are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, light more than photovoltaic power generation Volt power generation charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is filled jointly to battery by photovoltaic power generation and power grid Electricity;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is given Battery charge power is zero.
Compared with prior art, the present invention the power supply system constituted using photovoltaic power generation, battery and power grid, to The power supply of building electricity consumption load, makes full use of the photovoltaic power generation energy, using the life of storage battery as important consideration factor, preferably plays Battery considers the influence of tou power price to the adjustment effect of power grid peak-valley difference, improves network load fluctuation, reduces non-renewable energy Consumer cost is suitable for nearly zero, net zero energy consumption building electricity consumption and controls, i.e. photovoltaic power generation and building electricity consumption load energy consumption is substantially suitable When control mode, realize finally using economy as optimization aim, promoted constructing operation economy.
Detailed description of the invention
Fig. 1 is flow chart of the invention (one).
Fig. 2 is flow chart of the invention (two).
Fig. 3 is the power supply system structural schematic diagram of the embodiment of the present invention.
Specific embodiment
Invention is further described in detail with reference to the accompanying drawings and examples.
Photovoltaic storage battery micro-capacitance sensor dispatch control method (method) of the invention is suitable for photovoltaic power generation apparatus (photovoltaic hair Electricity, photovoltaic), energy storage device and municipal power supply grid (power grid) constitute power supply system (system), filled according to photovoltaic power generation The power generation situation set is in power grid peak period (crest segment), usually section, low-valley interval (paddy section) in conjunction with municipal power supply grid, right Power supply system carries out energy adjustment, is charged in most economical mode to the power supply of building electricity consumption load, to energy storage device.
In method of the invention, for photovoltaic power generation apparatus as the main energy supply energy, energy storage device is used as the auxiliary energy supply energy, Municipal power supply grid is as the spare energy supply energy.
As shown in figure 3, photovoltaic power generation apparatus is equipped with photovoltaic panel in the present embodiment, photovoltaic panel via controller access building is supplied Distribution system bus.Power supply system bus is the total trunk in architectural power supply route, and total trunk accesses whole building, builds Every layer built picks out branch line for floor electricity consumption.Photovoltaic power generation energy meter is equipped between controller and power supply system bus.
Energy storage device forms battery pack by battery (battery), and battery pack is female through charge-discharge machine access power supply system Line is equipped with state-of-charge SOC detection meter between charge-discharge machine and battery pack.
The 380V three-phase alternating current input of municipal power supply grid is built through the switch access of bus breaker, rectifier and off-grid operation Build power supply-distribution system bus.Building electricity consumption load and energy meter is equipped between power supply system bus.
Power supply system is equipped with micro-capacitance sensor and dispatches system, detects respectively with controller, photovoltaic power generation energy meter, SOC Meter, charge-discharge machine, rectifier are connected with building electricity consumption load and energy meter.
Photovoltaic panel is for converting the solar into electric energy, after preferentially directly powering to building electricity consumption load, by dump energy It is stored in battery.
Controller dispatches the control instruction that system issues according to micro-capacitance sensor, and the electric energy of photovoltaic panel conversion is carried out voltage adjusting After power control, it is incorporated to power supply system bus.Controller output voltage values are 380V.Power control is to keep electricity The power setting for needing to export by building electricity consumption load is no more than under pressure stable condition.
Charge-discharge machine dispatches the control instruction of system according to micro-capacitance sensor, carries out to battery charging and discharging conversion, on-off and power Control.Power control is that micro-capacitance sensor dispatches system by formula (1) charge power CE, formula (2) the discharge power DE set below, Calculate charging, discharging electric batteries power.
Battery can store photovoltaic panel and convert the solar into what building electricity consumption load after electric energy can not temporarily consume when charging Energy, the case where can also be in peak valley section according to battery electric quantity state and municipal power supply grid, the electricity of storage municipal administration power supply grid Energy.It powers when electric discharge for building electricity consumption load.
380V three-phase alternating current is converted to direct current by the municipal rectified device of power supply grid, is incorporated to power supply system mother Line is powered to building electricity consumption load, is charged to battery.
Rectifier receives the control instruction of micro-capacitance sensor scheduling system setting output voltage, and 380V three-phase alternating current is converted to Direct current is incorporated to power supply system bus, powers and/or charges the battery for building electricity consumption load.
The instantaneous power of photovoltaic power generation energy meter monitoring photovoltaic power generation and accumulative electricity data, by the instantaneous function of photovoltaic power generation Rate and accumulative electricity data are sent to micro-capacitance sensor scheduling system.Accumulative electricity is the accumulative total of generating electricity in long interval of time, this reality It applies in example as the accumulative total of generating electricity in one hour.
The state of charge for monitoring battery is counted in SOC detection, and state of charge is sent to micro-capacitance sensor scheduling system.
Building electricity consumption load and energy meter is for monitoring building electricity consumption instantaneous power and accumulative electricity data, by building electricity consumption wink Between power and accumulative electricity data be transmitted to microgrid scheduling system.
Micro-capacitance sensor dispatches system and completes following work:
1. obtaining the real-time weather data on photovoltaic panel installation ground, weather data per hour by networking with weather forecast quotient Including intensity of illumination, earth's surface solar global irradiance, environment temperature, relative humidity data, it is stored in database.
2. instantaneous power and the accumulative electricity data of the photovoltaic power generation of reception photovoltaic power generation energy meter, are stored in database.? Predict photovoltaic power generation power output PEPVHWhen, the history instantaneous power average value and weather data of photovoltaic power generation are transferred, similitude is carried out After comparison, photovoltaic power generation power output PEPV is determinedHPredicted value.
The similitude of photovoltaic power generation compares are as follows: with the instantaneous power average value and its corresponding day of previous hour photovoltaic power generation Destiny evidence, the history number of the photovoltaic power generation unit hour instantaneous power average value and weather data that are stored in comparison database item by item According to finding the weather data closest to (i.e. difference weighted value minimum), contributed with the subsequent period photovoltaic power generation of the historical data As prediction photovoltaic power generation power output PEPVHPredicted value.Photovoltaic power generation power output is the total power generation of photovoltaic in the unit period, this reality Applying example is the total power generation in 1 hour.
3. receiving SOC detection meter monitors the state of charge of battery, by set below formula (1) charge power CE, public affairs Formula (2) discharge power DE calculates charging, discharging electric batteries power, when being charged, discharged to battery pack as control charge-discharge machine The judgment basis of power control.
4. building electricity consumption instantaneous power and the accumulative electricity data of reception building electricity consumption load and energy meter, are stored in database, Predicting accumulative load PLoadHWhen, historical building electricity consumption instantaneous power average data is transferred, after progress similitude comparison really Surely add up load PLoadHPredicted value.
The similitude of building electricity consumption compares are as follows: with the instantaneous power average value of previous hour building electricity consumption and its corresponding point When electricity price data, the instantaneous power average value of the building electricity consumption stored in comparison database item by item and its corresponding tou power price Historical data, the instantaneous power average value and tou power price data that find building electricity consumption differ the data of minimum (i.e. closest), It is accumulative negative using 1 hour accumulative electricity in the subsequent period data of the instantaneous power average value of the historical building electricity consumption as prediction Lotus PLoadHPredicted value.
5. being set according to user, voltage setting instruction is issued, the output voltage of controller is controlled.
User sets rule are as follows: controller output voltage is higher than the output electricity of charge-discharge machine electric discharge output voltage and rectifier Pressure.
6. logic according to the method for the present invention adjusts judgement, control charge-discharge machine carries out " charging ", " electric discharge " or " standby " State transformation, power when its " charging ", " electric discharge " is set, output voltage when " electric discharge " is set.
7. being set according to user, voltage setting instruction is issued, the output voltage of rectifier is controlled.
User sets rule are as follows: rectifier output voltage is lower than 10~20V of controller output voltage.
In the present embodiment, the peak period of the non-resident electricity consumption power supply grid in tou power price Shenzhen, usually section, low ebb when Section is illustrated, and daily peak period is 9:00~11:30,14:00~16:30,19:00~21:00, and usually section is 7:00 ~9:00,11:30~14:00,16:30~19:00,21:00~23:00, low-valley interval are 23:00~next day 7:00.
Crest segment, paddy section use tou power price, are a kind of electricity price systems that the electricity charge are calculated separately by crest segment electricity consumption and paddy section electricity consumption Degree.Crest segment power supply refers to that electricity unit is relatively concentrated, electricity consumption when power shortage, and charging standard is higher.Paddy section power supply, refers to use Electricity consumption when electric unit is less, power supply is more sufficient, charging standard is lower, and usually section is the period of regular fee.Carry out crest segment, paddy Section electricity price is conducive to that electricity unit is promoted to be staggered the peak of power consumption period, makes full use of equipment and the energy.
Method of the invention, including estimate and correct two stages.
Estimate the stage be in the following long interval of time building electricity consumption load and photovoltaic power generation power output predict, with true Determine overall charge and discharge system of the battery group in the time interval, i.e., battery group keeps charging or puts in this time interval Electricity condition can not be switched to wait state when Accurate Prediction charge and discharge system, maintain the method for operation of the system in last moment, To keep the relatively stable of battery group working condition, frequent transitions charging and discharging state is avoided to damage battery group.It is long Time interval step-length in hours, is 0.5 hour to the daily sunshine-duration, can also be delimited thereon according to power grid peak-to-valley value Limit value, it is 1 hour following that the present embodiment, which takes step-length,.
It, can not Accurate Prediction charge and discharge system in the present embodiment are as follows: photovoltaic power generation is contributed predicted value and accumulative load prediction The absolute value of the difference of value divided by photovoltaic power generation power output predicted value and accumulative predicted load in maximum value less than 5%, | PEPVH- PLoadH|/max(PEPVH,PLoadH) < 5%.
Network load is the power summation that all electrical equipments consume electric energy in power grid.
Building electricity consumption load (building load, load) is the power summation of all electrical equipment consumption electric energy in building.
Photovoltaic power generation power output is the generated output of every piece of photovoltaic panel multiplied by the quantity of photovoltaic panel.
Method prediction photovoltaic power generation power output of the invention needs that current weather data is combined to carry out integrated forecasting, rather than to build The rated power for building power load and photovoltaic power generation power output is predicted.
Calibration phase is, according to the state-of-charge SOC of battery each in battery group, to set battery in short time interval Charge and discharge rate, then according to power grid peak interval of time, the state-of-charge SOC of battery, set controller output voltage, The output voltage of the discharge voltage of charge-discharge machine, rectifier powers to building electricity consumption load and chooses photovoltaic, photovoltaic and battery or light Volt and real-time control of the power grid as power supply.It is horizontal that short time interval helps to be promoted scheduling, using electricity wisely electricity price and fills Divide the comprehensive benefit using renewable energy.Short time interval step-length is less than long interval of time step-length, is 1 minute in minutes To 60 minutes, it was 5 minutes that the present embodiment, which takes step-length,.
Estimating can adjust with the long interval of time step-length of calibration phase and short time interval step-length according to user Whole, step-length longer system work is more stable, and step-length is shorter to be conducive to quick response building electricity consumption load and photovoltaic power generation power output Variation.
Grasp battery depth of charge (battery during the charging process from external circuit receive electricity filled completely with it The ratio of capacity when electricity condition) and depth of discharge (percentage of battery discharge capacity and battery rating), it is to prevent An important factor for overcharge and overdischarge influence the life of storage battery.In order to promote the service life of battery, method foundation of the invention The SOC state of battery sets charging rate CE, the velocity of discharge DE of battery in the unit time, guarantees battery in high SOC The lower charging rate of Shi Caiyong, avoids deep charge;Battery uses the lower velocity of discharge in low SOC, avoids depth Electric discharge.Meanwhile Charge Proportional coefficient Chr_rat, electric discharge proportionality coefficient Dis_rat are set, it is further ensured that battery is charging In period will not overcharge, will not overdischarge in discharge cycle.
Charging rate (charge power) CE are as follows:
CE=Bat_Cp* (maxSOC-SOCH-1)*Chr_rat (1)
In formula (1), charge power CE unit is kW, and Bat_Cp is accumulator capacity, and unit kWh, maxSOC are electric power storage The maximum allowable state-of-charge amount in pond, SOCH-1For the storage battery charge state amount of upper one hour, Chr_rat is maximum allowable charging Multiplying power (Charge Proportional coefficient) is the ratio between battery maximum charge speed and maximum charge amount, and unit kW/kWh, battery is most Big charging rate and battery maximum charge amount are battery factory settings, and battery needs work in maximum charge speed and maximum It is just safe below charge volume.
The velocity of discharge (discharge power) DE are as follows:
DE=Bat_Cp* (SOCH-1-minSOC)*Dis_rat (2)
In formula (2), discharge power DE unit is kW, and minSOC is battery minimum allowable state-of-charge amount, and Dis_rat is Maximum allowable discharge-rate (electric discharge proportionality coefficient), is the ratio between the battery maximum velocity of discharge and maximum pd quantity, unit kW/ KWh, the battery maximum velocity of discharge and battery maximum pd quantity are battery factory settings, and battery needs work to put in maximum It is just safe below electric speed and maximum pd quantity.
As depicted in figs. 1 and 2, method of the invention, comprising the following steps:
One, accumulative load and photovoltaic power generation are predicted
Micro-capacitance sensor dispatches system with step-length for 1 hour, to the accumulative load (building electricity consumption load) of the following long interval of time PLoadHWith photovoltaic power generation power output PEPVHIt is predicted, prediction is flat using the instantaneous power of the photovoltaic power generation in a upper time interval Mean value and its corresponding weather data are used as with the instantaneous power average value of building electricity consumption and its corresponding tou power price data to be looked into Look for the foundation of historical data.
Photovoltaic power generation instantaneous power average value in a upper time interval is the total power generation of photovoltaic in a upper time interval, It records to obtain by photovoltaic power generation energy meter.
It is recorded in building power load energy meter in the upper time interval of load actual value in a upper time interval The total electricity consumption of building electricity consumption load.
After predicting that photovoltaic power generation power output carries out similitude comparison, photovoltaic power generation power output PEPV is determinedHPredicted value.
It predicts to determine accumulative load PLoad after load carries out similitude comparisonHPredicted value.
Two, prediction net load is calculated
Micro-capacitance sensor dispatches system according to accumulative load PLoadHWith photovoltaic power generation power output PEPVHIt is net negative to calculate prediction for predicted value Lotus NLoadHValue:
NLoadH=PLoadH-PEPVH (3)
Three, micro-capacitance sensor scheduling system is more than or less than 0 by prediction net load value, the charging of control battery, electric discharge or standby Working condition, i.e., hierarchical control photovoltaic, photovoltaic and battery or photovoltaic and power grid to building electricity consumption load power
(1) net load NLoad is predictedHValue less than 0, show photovoltaic power generation power output be dominant, battery to be charged as dominating, into Enter 5 minutes control modes (calibration phase) of short time interval.According to real-time battery charge state and its maximum permissible value, (maximum permits Perhaps state-of-charge amount) comparison result, be divided into two kinds of situations:
(1) battery SOC is greater than its maximum permissible value in real time, and micro-capacitance sensor dispatches system control charge-discharge machine and enters standby shape State, i.e. battery remain waiting for state, battery charge power CE=0, and photovoltaic power generation undertakes the power supply of all building electricity consumption loads, mentions The maximum power of confession be building electricity consumption load compared with photovoltaic self generating ability after smaller value PVout=min (EPV, Load), electricity, remaining electricity=photovoltaic generation power-building electricity consumption load power are abandoned if electricity of having a surplus.
(2) battery SOC is less than its maximum permissible value in real time, and the battery of energy storage device is charged state.According to real-time electricity Net is in crest segment, paddy section or the usually state of section, is further divided into two kinds of situations:
1) when power grid be in paddy section or it is flat when section state, NextState be crest segment state when, micro-capacitance sensor dispatch system command Charge-discharge machine enters charge mode, charges to battery.If TV university is in battery charge power more than photovoltaic power generation, battery is only by photovoltaic Power generation is charged, and when charging abandons electricity if still having photovoltaic power generation electricity residue.If electricity is less than battery charging function more than photovoltaic power generation Rate, jointly to charge the battery by photovoltaic power generation and power grid.
Micro-capacitance sensor dispatches system first according to battery SOC, charge-discharge machine is arranged to battery in short time interval by formula (1) Charge power CE.The operating voltage that rectifier is arranged again is 370V, the operating voltage 380V of photovoltaic electricity generation controller, so that light It lies prostrate voltage and is higher than municipal power supply grid voltage, to guarantee preferential photovoltaic power supply.
If photovoltaic generation power is greater than building electricity consumption load, power supply system busbar voltage will be maintained at 380V, city Political affairs power supply grid only connecting building power supply-distribution system bus but does not provide energy.If photovoltaic generation power is negative less than building electricity consumption Lotus, controller will be unable to maintain 380V, and voltage will settle to 370V, and photovoltaic and municipal power supply grid provide energy jointly at this time Give power supply system bus.
Battery during the charging process, if instantaneous building electricity consumption load is greater than the actual generation power of photovoltaic power generation, send out by photovoltaic Electricity is all powered to building electricity consumption load, and insufficient power section is supplied by municipal power supply grid.Photovoltaic power generation power output is building The small value of power load and self generating ability, PVout=min (EPV, Load).Micro-capacitance sensor dispatches system and controls charge-discharge machine By the charge power that formula (1) charges to battery, power grid fills battery through power supply system bus, charge-discharge machine Electricity.
Battery during the charging process, if instantaneous building electricity consumption load is less than photovoltaic generation power, judges electricity more than photovoltaic power generation With the size relation of battery charge power, further it is divided into two kinds of situations:
1. electricity is more than the charge power that formula (1) charges to battery more than photovoltaic power generation, formula is pressed by micro-capacitance sensor scheduling system (1) power that control charge-discharge machine charges the battery, rechargeable energy is provided by photovoltaic power generation, i.e., by photovoltaic power generation to storage Battery charging, abandons electricity if still having electricity residue.
2. electricity is less than the charge power that formula (1) charges to battery more than photovoltaic power generation, using municipal power supply grid and photovoltaic Power generation PV charges the battery jointly, the function charged the battery by micro-capacitance sensor scheduling system by formula (1) control charge-discharge machine Rate.At this time in order to reduce storage loss, photovoltaic power generation preferentially gives building electricity consumption load to power, and the power dEfPV that charges the battery is Small value in photovoltaic power generation and the difference of building electricity consumption load, charge power, dEfPV=min (EPV-load, CE), insufficient section It is supplemented by power grid, the gross capability of photovoltaic power generation is equal to its generated output PVout=EPV.
2) when power grid be in crest segment or it is flat when section state, NextState be paddy section state when, battery is only filled by photovoltaic power generation Electricity.According to battery SOC situation, electricity is more than the charge power to battery charging that formula (1) is calculated, micro- electricity more than photovoltaic power generation Net scheduling system charges to battery by formula (1) control charge-discharge machine.
Battery during the charging process, if instantaneous building electricity consumption load is greater than the actual generation power of photovoltaic power generation, send out by photovoltaic Electricity is all powered to building electricity consumption load, and insufficient power section is supplied by municipal power supply grid.Photovoltaic power generation power output is building The small value PVout=min (EPV, Load) of power load and self generating ability.Micro-capacitance sensor is dispatched at system control charge-discharge machine In standby mode, battery keeps the state that charge power is zero, CE=0.
If instantaneous building electricity consumption load is less than photovoltaic generation power, the big of electricity and battery charge power more than photovoltaic power generation is judged Small relationship is further divided into two kinds of situations:
1. electricity is more than the charge power to battery charging that formula (1) is calculated more than photovoltaic power generation, dispatched by micro-capacitance sensor The power that system is charged the battery by formula (1) control charge-discharge machine, rechargeable energy is provided by photovoltaic power generation, i.e., by light Volt power generation charges to battery, abandons electricity if still having electricity residue.
2. electricity is less than the charge power to battery charging that formula (1) is calculated, micro-capacitance sensor scheduling system more than photovoltaic power generation System control charge-discharge machine is in standby, and battery keeps the state that charge power is zero, CE=0.
(2) net load NLoad is predictedHMore than or equal to 0, the charge and discharge control of battery is determined by electricity price state, i.e., by electricity Crest segment, paddy section or the usually section control of net carry out charge and discharge to battery.
(1) when power grid is in paddy section state, judge whether lower is maximum allowable in its by SOC in battery short time interval SOC, the chronomere of short time interval is in second rank.
1) when battery SOC is lower than its maximum SOC, according to battery SOC, micro-capacitance sensor dispatches system and controls charge and discharge by formula (1) Motor, to the charge power CE of battery, is controlled by following two mode respectively in short time interval:
1. being charged the battery when building electricity consumption load is greater than photovoltaic power generation actual power by power grid, photovoltaic power generation is whole It powers to building electricity consumption load, photovoltaic power generation power output PVout=EPV.
2. electricity is more than formula (1) to battery more than photovoltaic power generation when building electricity consumption load is less than photovoltaic power generation actual power The charge power of charging, the function to be charged through charge-discharge machine to battery by micro-capacitance sensor scheduling system by formula (1) control photovoltaic power generation Rate, at this time photovoltaic power generation contribute PVout=Load+CE.If electricity is less than the charging function that formula (1) charges to battery more than photovoltaic power generation Rate is charged the battery jointly by photovoltaic power generation and power grid, at this time photovoltaic power generation power output PVout=EPV.
2) when battery SOC is more than maximum allowable SOC, in order to keep battery status to stablize, it is not switched to discharge condition, electricity It is nought state DE=0 that pond, which keeps discharge power,;Photovoltaic power generation power output is the smaller value of its generated output and building electricity consumption load, i.e., PVout=min (EPV, load), abandons electricity if electricity of having a surplus, and photovoltaic power generation charges the battery power dEfPV=0.
(2) when power grid is in crest segment state, judge whether battery transient state SOC is greater than its minimum allowable SOC.
1) when battery SOC is less than its minimum allowable SOC, it is nought state, DE=0, photovoltaic power generation that battery, which keeps discharge power, Building electricity consumption load is preferentially undertaken, photovoltaic power generation power output is the small value PVout=min of building electricity consumption load and self generating ability (EPV, Load) abandons electricity if electricity of having a surplus, and supplies required electric energy by power grid if photovoltaic generation power is less than building electricity consumption load.
2) when battery SOC is greater than minimum allowable SOC, then battery has discharging condition, and micro-capacitance sensor dispatches system based on formula (2) Result control discharge power DE of the charge-discharge machine to battery in short time interval is calculated, and instructs the discharge voltage of charge-discharge machine to be Numerical value between controller output voltage values and power grid rectifier voltage value, the present embodiment 375V are controlled in the following manner respectively System:
1. it is nought state, DE that battery, which keeps discharge power, when photovoltaic power generation actual generation power is more than building electricity consumption load =0, PVout=Load.
2. when photovoltaic power generation actual generation power is less than building electricity consumption load, photovoltaic power generation power output is equal to its generated output, PVout=EPV.If battery discharge power DE is greater than net load (load-photovoltaic power generation actual power), required electricity is supplied by battery Can, actual discharge power is equal to net load.If battery discharge power DE is less than net load (load-photovoltaic power generation actual power), Electric energy needed for supplying building electricity consumption load jointly as battery and power grid, actual discharge power are equal to battery discharge power DE.
(3) when power grid be in it is flat when section state when, judge the tou power price state of subsequent period.Next tou power price state It is paddy section, dispatch control method when paddy section state is in by power grid.Next tou power price state is crest segment, is in peak by power grid Dispatch control method when section state.
The invention has the following advantages that
(1) widely applicable, with strong points, present invention combination photovoltaic power generation, practical accumulator cell charging and discharging calculate and entire electricity Net tou power price considers the progress of power grid tou power price and battery itself electrical characteristics at many levels, gives full play to battery Pondage capacity improves the utilization rate of battery, and according to tou power price TOU, Demand-side is actively adjusted, and improves the power supply of power grid peak-valley difference, Macroscopical energy efficiency is promoted, electric system cost of investment is reduced, promotes effective distribution of social resources.TOU can not be coped in short term Power surges will build up more open electricity market in future, carry out Spot Price RTP or be carried out based on incentive policy to load When classification, with greater advantage, the market price will be greatly facilitated demand response to the present invention, push the configuration and reality of energy storage equipment When dispatch.
(2) stability, robustness is high, and present invention combination photovoltaic power generation is calculated with accumulator cell charging and discharging and entire power supply electricity Net, carry out tou power price and battery itself electrical characteristics multi-level consideration so that photovoltaic and battery be connected to the grid but not on Under conditions of net, while considering tou power price.It can produce larger economic well-being of workers and staff under current institutional environment, using estimating and school Positive judgment method takes identical scheduling strategy in long period interval, avoids the frequent variation of accumulator status.Simply Easy load and renewable energy goes out force prediction method, mitigates and calculates consumption, promotes the stability and robustness of control scheduling.
(3) with strong points, present invention combination photovoltaic power generation and accumulator cell charging and discharging calculating and power grid are powered, and carry out timesharing electricity The multi-level consideration of valence and battery itself electrical characteristics, fully considers the influence of the life of storage battery, by storage battery charge state, Maximum charge and discharge scale parameter limits accumulator cell charging and discharging speed, avoids depth charge and discharge, and strict control overcharges, over-discharge.Relative to Simple to limit the art methods that discharged when being lower than certain SOC, this method can more embody economy and the life of storage battery Tradeoff.Method of the invention makes full use of renewable energy, reduces non-renewable energy consumption.In the background of nearly zero energy consumption building Under, building energy demand is lower, when renewable energy amount is had more than needed, takes reasonable charge and discharge system, and preferential utilize can The renewable sources of energy.

Claims (10)

1. a kind of photovoltaic storage battery micro-capacitance sensor dispatch control method, comprising the following steps:
One, the power supply system that photovoltaic power generation, battery and power grid are constituted is established, is powered to building electricity consumption load;It is described Photovoltaic power generation is as the main energy supply energy, and battery is as the auxiliary energy supply energy, and power grid is as the spare energy supply energy;
Two, accumulative load and photovoltaic power generation are predicted
In hours, to the building electricity consumption load PLoad of the following long interval of timeHWith photovoltaic power generation power output PEPVHIt is predicted, After carrying out similitude comparison, photovoltaic power generation power output PEPV is determinedHPredicted value and building electricity consumption load PLoadHPredicted value;
The similitude of photovoltaic power generation compares are as follows: instantaneous power average value and its corresponding day destiny with previous hour photovoltaic power generation According to the historical data of comparison photovoltaic power generation unit hour instantaneous power average value and weather data, finds immediate day item by item Destiny evidence, contributed PEPV using the subsequent period photovoltaic power generation power output of the historical data as photovoltaic power generationHPredicted value;
The similitude of building electricity consumption compares are as follows: with the instantaneous power average value of previous hour building electricity consumption and its corresponding timesharing electricity Valence mumber evidence compares the instantaneous power average value of building electricity consumption and its historical data of corresponding tou power price item by item, finds building The instantaneous power average value and tou power price data of electricity consumption differ the smallest data, flat with the instantaneous power of the historical building electricity consumption 1 hour accumulative electricity in the subsequent period data of mean value is as the accumulative load PLoad of predictionHPredicted value;
Three, prediction net load is calculated
Calculate prediction net load NLoadHValue:
NLoadH=PLoadH-PEPVH
Four, judgement prediction net load NLoadHValue is less than 0, in minutes between the short time, according to real-time storage battery charge state and its The comparison result of maximum allowable state-of-charge amount, the charging of control battery, electric discharge or standby working condition:
(1) battery SOC is greater than its maximum permissible value in real time, and battery charge power is zero, and it is negative that photovoltaic power generation undertakes building electricity consumption The power supply of lotus;
(2) battery SOC is less than its maximum permissible value in real time, and battery is charged state.
2. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 1, it is characterised in that: the step 2 is long Time interval step-length is 0.5 hour to the daily sunshine-duration;The step 4 short time interval step-length is 1 minute to 60 points Clock.
3. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 2, it is characterised in that: the step 2 is long Time interval step-length is 1 hour;The step 4 short time interval step-length is 5 minutes.
4. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 3, it is characterised in that: the step 4 (2), crest segment, paddy section or the usually state of section are according to real-time grid, are further divided into two kinds of situations:
1) when power grid be in paddy section or it is flat when section state, NextState be crest segment state when, to battery charge, if photovoltaic power generation Remaining TV university is charged in battery charge power by photovoltaic power generation, if electricity is less than battery charge power more than photovoltaic power generation, by Photovoltaic power generation and power grid are jointly to charge the battery;
2) when power grid be in crest segment or it is flat when section state, NextState be paddy section state when, battery is charged by photovoltaic power generation.
5. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 4, it is characterised in that: the step 4 (2) the 1st in), during the charging process, instantaneous building electricity consumption load is greater than the actual generation power of photovoltaic power generation, and photovoltaic power generation is complete Portion powers to building electricity consumption load, and insufficient power section is supplied by power grid, and power grid charges to battery.
6. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 5, it is characterised in that: the step 4 (2) the 1st in), during the charging process, instantaneous building electricity consumption load is less than photovoltaic generation power, it is controlled by following two situation:
1. electricity is more than charge power CE more than photovoltaic power generation, charged by photovoltaic power generation to battery,
CE=Bat_Cp* (maxSOC-SOCH-1)*Chr_rat
Wherein, Bat_Cp is accumulator capacity, and maxSOC is the maximum allowable state-of-charge amount of battery, SOCH-1For upper one hour Storage battery charge state amount, it is battery maximum charge speed and maximum charge amount that Chr_rat, which is maximum allowable rate of charge, The ratio between;
2. electricity is less than charge power more than photovoltaic power generation, charged the battery jointly using power grid and photovoltaic power generation.
7. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 6, it is characterised in that: the step 4 (2) the 2nd in), during the charging process, instantaneous building electricity consumption load is greater than the actual generation power of photovoltaic power generation, and photovoltaic power generation is complete Portion powers to building electricity consumption load, and it is zero that insufficient power section, which supplies battery charge power by power grid,.
8. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 7, it is characterised in that: the step 4 (2) the 2nd in), during the charging process, instantaneous building electricity consumption load is less than photovoltaic generation power, it is controlled by following two situation:
1. electricity is more than charge power CE more than photovoltaic power generation, charged by photovoltaic power generation to battery;
2. electricity is less than charge power more than photovoltaic power generation, battery charge power is zero.
9. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 8, it is characterised in that: the step 4 is sentenced Disconnected prediction net load NLoadHMore than or equal to 0, crest segment is in by power grid or paddy section controls battery:
(1) power grid is in paddy section state, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, photovoltaic hair more than photovoltaic power generation Electricity charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is charged the battery jointly by photovoltaic power generation and power grid;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is to electric power storage Pond charge power is zero;
(2) when power grid is in crest segment state, judge battery transient state state-of-charge,
1) storage battery charge state is less than its minimum allowable state-of-charge, and it is nought state that battery, which keeps discharge power,;
2) storage battery charge state is greater than minimum allowable state-of-charge, controls respectively by following two mode:
1. photovoltaic generation power is more than building electricity consumption load, it is nought state that battery, which keeps discharge power,;
2. photovoltaic generation power is less than building electricity consumption load, if battery discharge power DE is greater than building electricity consumption load and subtracts photovoltaic The net load that generated output obtains, electric energy needed for battery supplies building electricity consumption load;If battery discharge power DE is less than net Electric energy needed for load, battery and power grid supply building electricity consumption load jointly,
DE=Bat_Cp* (SOCH-1-minSOC)*Dis_rat
Wherein, minSOC is battery minimum allowable state-of-charge amount, and it is battery that Dis_rat, which is maximum allowable discharge-rate, The ratio between the maximum velocity of discharge and maximum pd quantity.
10. photovoltaic storage battery micro-capacitance sensor dispatch control method according to claim 9, it is characterised in that: the step 4 Judgement prediction net load NLoadHMore than or equal to 0, power grid is in usually section, judges the tou power price state of subsequent period,
Next tou power price state is paddy section, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, photovoltaic hair more than photovoltaic power generation Electricity charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is charged the battery jointly by photovoltaic power generation and power grid;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is to electric power storage Pond charge power is zero;
Next tou power price state is crest segment, judges the state-of-charge in battery short time interval,
1) when storage battery charge state is lower than its maximum state-of-charge, to the charge power of battery in short time interval are as follows:
1. building electricity consumption load is greater than photovoltaic power generation actual power, charged the battery by power grid;
2. building electricity consumption load is less than photovoltaic power generation actual power, if electricity is more than charge power CE, photovoltaic hair more than photovoltaic power generation Electricity charges to battery, if electricity is less than charge power CE more than photovoltaic power generation, is charged the battery jointly by photovoltaic power generation and power grid;
2) when storage battery charge state is more than maximum allowable state-of-charge, battery discharge power is zero, and photovoltaic power generation is to electric power storage Pond charge power is zero.
CN201910433806.2A 2019-05-23 2019-05-23 Photovoltaic storage battery microgrid dispatching control method Active CN110112783B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910433806.2A CN110112783B (en) 2019-05-23 2019-05-23 Photovoltaic storage battery microgrid dispatching control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910433806.2A CN110112783B (en) 2019-05-23 2019-05-23 Photovoltaic storage battery microgrid dispatching control method

Publications (2)

Publication Number Publication Date
CN110112783A true CN110112783A (en) 2019-08-09
CN110112783B CN110112783B (en) 2021-01-19

Family

ID=67491858

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910433806.2A Active CN110112783B (en) 2019-05-23 2019-05-23 Photovoltaic storage battery microgrid dispatching control method

Country Status (1)

Country Link
CN (1) CN110112783B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110661289A (en) * 2019-09-26 2020-01-07 深圳天顺智慧能源科技有限公司 Microgrid system grid-connected operation control method and device and microgrid system
CN111682604A (en) * 2020-05-21 2020-09-18 深圳市德兰明海科技有限公司 Control method and device of energy storage product and electronic equipment
CN111709554A (en) * 2020-05-22 2020-09-25 广西电网有限责任公司 Method and system for joint prediction of net loads of power distribution network
CN113690878A (en) * 2021-08-03 2021-11-23 北京京能能源技术研究有限责任公司 Micro-grid three-switch control method
CN114301093A (en) * 2021-12-28 2022-04-08 中建科技集团北京低碳智慧城市科技有限公司 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium
CN114498702A (en) * 2022-01-26 2022-05-13 南京清电物联科技有限公司 Micro-grid energy management method and system based on energy router
WO2022183580A1 (en) * 2021-03-05 2022-09-09 广东顺德电力设计院有限公司 Microgrid configuration optimization method and apparatus, and device and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104269849A (en) * 2014-10-17 2015-01-07 国家电网公司 Energy managing method and system based on building photovoltaic micro-grid
CN105846423A (en) * 2016-03-28 2016-08-10 华北电力大学 Method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration
JP2018074841A (en) * 2016-11-02 2018-05-10 積水化学工業株式会社 Power control system and power control method
CN109217364A (en) * 2018-09-10 2019-01-15 国网冀北电力有限公司张家口供电公司 Photovoltaic-stored energy capacitance of large-scale distributed power supply consumption distributes strategy rationally
CN109390949A (en) * 2018-11-09 2019-02-26 毕锐 A kind of household photovoltaic, energy storage and with can control method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104269849A (en) * 2014-10-17 2015-01-07 国家电网公司 Energy managing method and system based on building photovoltaic micro-grid
CN105846423A (en) * 2016-03-28 2016-08-10 华北电力大学 Method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration
JP2018074841A (en) * 2016-11-02 2018-05-10 積水化学工業株式会社 Power control system and power control method
CN109217364A (en) * 2018-09-10 2019-01-15 国网冀北电力有限公司张家口供电公司 Photovoltaic-stored energy capacitance of large-scale distributed power supply consumption distributes strategy rationally
CN109390949A (en) * 2018-11-09 2019-02-26 毕锐 A kind of household photovoltaic, energy storage and with can control method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110661289A (en) * 2019-09-26 2020-01-07 深圳天顺智慧能源科技有限公司 Microgrid system grid-connected operation control method and device and microgrid system
CN111682604A (en) * 2020-05-21 2020-09-18 深圳市德兰明海科技有限公司 Control method and device of energy storage product and electronic equipment
CN111709554A (en) * 2020-05-22 2020-09-25 广西电网有限责任公司 Method and system for joint prediction of net loads of power distribution network
WO2022183580A1 (en) * 2021-03-05 2022-09-09 广东顺德电力设计院有限公司 Microgrid configuration optimization method and apparatus, and device and storage medium
CN113690878A (en) * 2021-08-03 2021-11-23 北京京能能源技术研究有限责任公司 Micro-grid three-switch control method
CN113690878B (en) * 2021-08-03 2023-11-21 北京京能能源技术研究有限责任公司 Three-phase switching control method for micro-grid
CN114301093A (en) * 2021-12-28 2022-04-08 中建科技集团北京低碳智慧城市科技有限公司 Photovoltaic microgrid electric energy supply control method, device, equipment and storage medium
CN114498702A (en) * 2022-01-26 2022-05-13 南京清电物联科技有限公司 Micro-grid energy management method and system based on energy router

Also Published As

Publication number Publication date
CN110112783B (en) 2021-01-19

Similar Documents

Publication Publication Date Title
US10923919B2 (en) Method and apparatus for controlling power flow in a hybrid power system
CN110112783A (en) Photovoltaic storage battery micro-capacitance sensor dispatch control method
CN106651026B (en) Multi-time scale microgrid energy management optimization scheduling method
CN102361328B (en) Wind and light complement distributed micro-grid system for comprehensively utilizing commercial power
CN106487036B (en) A kind of independent photovoltaic dragging system capacity collocation method based on multi-objective optimization algorithm
CN104821600B (en) Flexible grid-connected scheduling algorithm for distributed wind and photovoltaic hybrid power generation system
JP6168564B2 (en) Method and power generation system for supplying electrical energy from a distributed energy source
CN106709610B (en) Micro-grid electricity energy storage and ice storage combined optimization scheduling method
US20110060474A1 (en) Power control device for a power grid, comprising a control unit for controlling an energy flow between the power generation unit, the energy storage unit, the consumer unit and/or the power grid
KR20170095580A (en) Method for power management of Energy Storage System connected renewable energy
CN112803573A (en) Wind-solar-hydrogen storage complementary uninterrupted power supply system
CN104767224A (en) Energy management method of multi-energy-storage-type containing grid-connection type wind and light storage micro-grid
CN110601334B (en) Charging station and energy dispatching management method thereof
CN104901338A (en) Island isolated micro-grid energy control method
Marzband et al. Energy management system of hybrid microgrid with energy storage
US20230294544A1 (en) Method of Controlling of Battery Energy Storage System of Power System with High Dynamic Loads
CN110350553B (en) Incoming line power spike suppression method and system based on multi-power regulation technology
CN111231713A (en) Electric automobile charging and discharging system and control method
KR102222560B1 (en) An energy storage system
CN110826210B (en) Multi-region building virtual power plant modeling and optimization coordination method based on power interconnection
CN102931676A (en) Structure and method of solar power grid-connected self-use multifunctional system
CN110165692B (en) Virtual energy storage peak regulation system and method based on photovoltaic-storage battery-temperature control load
CN116544991A (en) Wind power uncertainty-considered wind power and storage combined optimization scheduling method
CN104281984A (en) Power supply method for microgrid economical operation
CN113541133B (en) Fine scheduling method for hybrid micro-grid

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
GR01 Patent grant
GR01 Patent grant