CN209389722U - Light stores up lotus intelligent management all-in-one machine - Google Patents

Light stores up lotus intelligent management all-in-one machine Download PDF

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Publication number
CN209389722U
CN209389722U CN201821640214.5U CN201821640214U CN209389722U CN 209389722 U CN209389722 U CN 209389722U CN 201821640214 U CN201821640214 U CN 201821640214U CN 209389722 U CN209389722 U CN 209389722U
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energy
intelligent management
load
light
storage
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余婉仪
沈聪
钟华兵
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SDIC Tianqi (Guangdong) Smart Energy Technology Co.,Ltd.
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Beijing Potential New Energy Technology Co Ltd
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    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/14Energy storage units

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Abstract

The utility model provides a kind of light storage lotus intelligent management all-in-one machine, and light storage lotus intelligent management all-in-one machine includes light storage lotus intelligent management system and stores up power grid, photovoltaic generating system, energy-storage system of accumulator and the load management system that lotus intelligent management system is connected with light.The energy efficiency that the utility model can make the operation inside light storage lotus intelligent management all-in-one machine be optimal.

Description

Light stores up lotus intelligent management all-in-one machine
Technical field
The utility model belongs to light storage lotus management domain, and in particular to a kind of light storage lotus intelligent management all-in-one machine.
Background technique
With the continuous expansion of photovoltaic+energy-storage system scale, the cooperation of simple photovoltaic and energy storage is no longer satisfied day The it is proposed of the increasingly demand of big new-energy grid-connected, especially virtual plant, intelligent micro-capacitance sensor and intelligent micro-grid group's concept With it is universal.The supply of the following electric energy requires intelligent micro-capacitance sensor that can have enough capacities of self-government inside region, therefore how The capacity of self-government for realizing intelligent micro-capacitance sensor is still this field technical problem to be captured.
Utility model content
The feature and advantage of the utility model partly state in the following description, or can be aobvious and easy from the description See, or can be learnt and practicing the utility model.
To overcome problem of the prior art, the utility model provides a kind of light storage lotus intelligent management all-in-one machine, including light Storage lotus intelligent management system and power grid, photovoltaic generating system, the battery being connected with light storage lotus intelligent management system store up It can system and load management system;Wherein, the light storage lotus intelligent management system includes:
Long-range MCU acquisition module by data acquisition line and the photovoltaic generating system, energy-storage system of accumulator and is born Lotus management system is connected;
MCU main control module is connected with the long-range MCU acquisition module;
Communication module is connected with the MCU main control module.
Optionally, the photovoltaic generating system includes at least one photovoltaic cells, inverter and irradiation instrument;The photovoltaic Unit stores up lotus intelligent management system with the light by data acquisition line and is connected;The inverter by AC/DC line with it is described Photovoltaic cells are connected, and the inverter stores up lotus intelligent management system with the light by data acquisition line and is connected;The irradiation instrument Lotus intelligent management system is stored up with the light by data acquisition line to be connected.
Optionally, the energy-storage system of accumulator includes energy-storage units and the energy storage unsteady flow being connected with the energy-storage units Device, the energy accumulation current converter store up lotus intelligent management system with the light by data acquisition line and are connected.
Optionally, the load management unit includes cloud monitor;The cloud monitor by data acquisition line with The light storage lotus intelligent management system is connected.
The utility model provides a kind of light storage lotus intelligent management method, comprising:
S1, the information parameter for acquiring photovoltaic generating system, predict the generated output of the photovoltaic generating system;
S2, the information parameter for acquiring energy-storage system of accumulator, calculate the energy storage remaining capacity of the energy-storage system of accumulator;
S3, the information parameter for acquiring load management unit predict load tendency;
S4, the status information for obtaining power grid, and in conjunction with the generated output, energy storage remaining capacity, automatic working out system control System strategy.
Optionally: photovoltaic module attenuation rate, component health status are calculated according to the information parameter of the photovoltaic generating system SOH value, and judge the real-time running state and health status of each photovoltaic module.
Optionally: the health status SOH value of each battery core and/or the SOC state of each battery core are calculated, by instruction to every BMS device in a PACK carries out battery balanced operation.
Optionally: using the load type of embedded algorithm real-time identification starting, obtaining adjustable load, load can be turned off; And count the electricity consumption for calculating each load;By establishing historical data training neural network load model, load tendency is predicted.
Optionally, the step S4 includes:
Different objective functions is established by the status information of the power grid, passes through the photovoltaic power generation system for predicting to obtain The generated output and load tendency of system calculate time and the power of energy storage charge and discharge the most reasonable using genetic algorithm;
The status information of the power grid includes grid connection state and off-network state;Objective function under grid-connect mode state is It reduces and the electricity of power grid is interactive;Objective function under off-network state is to be powered as far as possible using photovoltaic electric.
Optionally, the status information of the power grid includes grid connection state and off-network state;The step S4 includes:
Under grid connection state, corresponding system control strategy includes:
If the generated output of photovoltaic generating system is greater than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is small In preset maximum value;Energy accumulation current converter work is then set to charge in PQ mode;And/or the electricity having more is sent into power grid;
If the generated output of photovoltaic generating system is greater than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is big In or equal to preset maximum value;Then close energy storage inverter;And/or removable and adjustable load is adjusted to increase load And/or the electricity having more is sent into power grid;
If the generated output of photovoltaic generating system is less than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is big In predetermined minimum;Energy accumulation current converter work is then set to discharge in PQ mode;And/or adjust it is adjustable and can turn off load with Reduce load;And/or inadequate electricity is sent by power grid;
If the generated output of photovoltaic generating system is less than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is small In or equal to predetermined minimum;Then close energy accumulation current converter;And/or it adjusts adjustable and load can be turned off to reduce load; And/or inadequate electricity is sent by power grid;
Under off-network state, corresponding system control strategy includes:
If the generated output of photovoltaic generating system is greater than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is small In preset maximum value;Energy accumulation current converter work is then set to charge in PQ mode;And/or the electricity having more is sent into power grid;
If the generated output of photovoltaic generating system is greater than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is big In or equal to preset maximum value;Then close energy storage inverter;And/or removable and adjustable load is adjusted to increase load; The electricity having more is sent into power grid;
If the generated output of photovoltaic generating system is less than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is big In default minimum;Energy accumulation current converter work is then set to discharge in PQ mode;And/or it adjusts adjustable and load can be turned off to subtract Few load;And/or inadequate electricity is sent by power grid
If the generated output of photovoltaic generating system is less than load tendency and the energy storage remaining capacity of energy-storage system of accumulator is small In or equal to predetermined minimum;Then close energy accumulation current converter;And/or it adjusts adjustable and load can be turned off to reduce load; And/or inadequate electricity is sent by power grid.
The utility model provides a kind of light storage lotus intelligent management all-in-one machine, can be reasonable according to current operation data Control mode is calculated, so that single micro-capacitance sensor operates in optimal working condition.
Detailed description of the invention
Fig. 1 is that the light of the utility model embodiment stores up the structural schematic diagram of lotus intelligent management all-in-one machine;
Fig. 2 is that the light of the utility model embodiment stores up the structural schematic diagram of lotus intelligent management all-in-one machine;
Fig. 3 is that the light of the utility model embodiment stores up the flow diagram of lotus intelligent management method.
Specific embodiment
The utility model is described in further detail with reference to the accompanying drawing:
As shown in Figure 1, light storage lotus intelligent management all-in-one machine includes light storage lotus intelligent management system 10, power grid 41, photovoltaic Electricity generation system 20, energy-storage system of accumulator 30 and load management system 40.Wherein:
Light storage lotus intelligent management system 10 includes long-range MCU acquisition module 11, is connected with long-range MCU acquisition module 11 MCU main control module 12 and the communication module 13 being connected with the MCU main control module 12.In an implementation of the utility model In example, light storage lotus intelligent management system 10 further includes that GPRS transparent transmission module 14, electric power loop 15, LED power and communication instruction are single Member 16.
Wherein, long-range MCU acquisition module 11 is mainly responsible for photovoltaic generating system 20, energy-storage system of accumulator 30 and bears Lotus management system 40 carries out data acquisition and data screening.Long-range MCU acquisition module 11 transmits data by Modbus agreement To MCU main control module 12, MCU main control module 12 passes through local algorithm process related data and show that control signal (is mainly protected Action signal is protected, time response needs quick response);MCU main control module 12 passes through GPRS/4G transparent transmission module 14 for data simultaneously It is sent to cloud system, system, calculated result are issued and controlled by main MCU module overall optimized algorithm beyond the clouds.Electricity Net 41 stores up lotus intelligent management system 10 with light by data acquisition line and is connected.
Photovoltaic generating system 20 includes at least one photovoltaic cells 21 and irradiation instrument 25, and each photovoltaic cells 21 are by multiple Photovoltaic module 23 is sequentially connected in series by AC/DC line;Each photovoltaic module 23 passes through data acquisition line and light Chu Hezhi Energy management system 10 is connected.Photovoltaic generating system 20 further includes at least one inverter 22, the inverter 22 and at least one Photovoltaic cells 21 are connected by AC/DC line, and inverter 22 stores up lotus intelligent management system 10 with light by data acquisition line and is connected. The data of the photovoltaic generating system 20 of long-range 11 acquisition of MCU acquisition module include the exit potential of each photovoltaic module, temperature, group Electric current, all data of inverter internal go here and there (comprising DC voltage, output AC power, the accumulative total of generating electricity and all kinds of protections letter Breath etc.) and irradiation instrument in irradiance data (environment temperature, illuminance, wind speed etc.).
Energy-storage system of accumulator 30 include multiple energy-storage units 31, each energy-storage units 31 by multiple batteries 33 by hand over/ AC line is sequentially connected in series;Each battery 33 stores up lotus intelligent management system 10 with light by data acquisition line and is connected.Electric power storage Pond energy-storage system further includes energy accumulation current converter 32, is connected by AC/DC line with the energy-storage units 31;The energy accumulation current converter 32 Lotus intelligent management system 10 is stored up with light by data acquisition line to be connected.The batteries to store energy system of long-range 11 acquisition of MCU acquisition module The data of system 30 include the internal all data of battery management system (BMS) (voltage, temperature, SOC and the internal resistance of each battery core and All kinds of protection information etc.).
Load management system 40 is connected by AC/DC line with photovoltaic generating system 20, energy-storage system of accumulator 30, more Body, it is to be connected with inverter 22 and energy accumulation current converter.Load management unit 40 may include cloud monitor 42, cloud prison Control device 42 stores up lotus intelligent management system 10 with light by data acquisition line and is connected.The load pipe of long-range 11 acquisition of MCU acquisition module The data of reason system include and outer net tie point (PCC point) total load (active power, power factor, voltage, harmonic component etc.) Active power, power factor, voltage, the harmonic component etc. of load are monitored and controlled with all kinds of needs.In addition, long-range MCU acquisition Module 11 also acquire exchange active power between photovoltaic generating system 20, energy-storage system of accumulator 30 and power grid, reactive power, Network voltage etc..
Light stores up lotus management system 10 for the photovoltaic data of photovoltaic generating system 20, the energy storage data of energy-storage system of accumulator 30 And 40 load data of load management system and electric network state real-time perfoming monitor.Wherein, photovoltaic data include all photovoltaic groups Part, inverter data and irradiation instrument data etc.;Energy storage data include battery core voltage, the temperature etc. that all BMS are uploaded;Load data Electricity consumption situation including each electric elements, active and reactive, power curve, electricity consumption curve etc..Lotus management system 10 is stored up in the light In MCU main control module can built-in CPU and algorithm software be used for fully automated control whole system, and by the saturating of GPRS/4G Relevant information is uploaded to cloud monitor 42 by the 2G/4G interface that transmission module provides.User remotely can monitor and control to it.
Light stores up the adjusting that lotus management system 10 can carry out adjusting, the charge and discharge of internal load according to the instruction of power grid.To Guarantee the exchange power with power grid, the harmonic wave etc. of online.
Such a light storage lotus intelligent management all-in-one machine can be used as a subelement of virtual plant, entire cloud System includes that many light store up lotus intelligent management all-in-one machine, and cloud can be very good to distribute each light storage according to dispatching of power netwoks instruction The interaction active power and reactive power of lotus intelligent management all-in-one machine and power grid.Light storage lotus management system receives power grid instruction Afterwards, the power output for adjusting energy storage, load and photovoltaic, thus the dispatch command of responsive electricity grid.
Simultaneously, clearly each existing hair of region micro-capacitance sensor is needed for the scheduling of cloud virtual power plant, micro-capacitance sensor group Electric energy power and load condition, while dispatch command is issued to each micro-capacitance sensor, so that big electricity according to bulk power grid operating condition Net safe and stable can be run.The operating condition that each adjacent micro-capacitance sensor can be mutually understood between micro-capacitance sensor group, to formulate Be conducive to the optimisation strategy etc. of itself economical operation out.
The utility model also provides a kind of light storage lotus intelligent management method, comprising:
S1, the information parameter for acquiring photovoltaic generating system, predict the generated output of the photovoltaic generating system;
S2, the information parameter for acquiring energy-storage system of accumulator, calculate the energy storage remaining capacity of the energy-storage system of accumulator;
S3, the information parameter for acquiring load management unit predict load tendency;
S4, the status information for obtaining power grid, and in conjunction with the generated output, energy storage remaining capacity (SOC), load tendency, Formulate system control strategy.
Wherein, in step sl, the information parameter of photovoltaic generating system includes each photovoltaic module in photovoltaic generating system The informations parameter such as voltage, temperature;Voltage, the related ginseng such as all kinds of protection warning messages are surveyed in the DC voltage of inverter, exchange Number;The relevant parameters such as the irradiation level of RADIAC radioactivity detection identification and computation and environment temperature.
The prediction of photovoltaic generation power can rely on the algorithm of neural network predict, e.g. the prediction side of IEEE document Method.
In one embodiment of the utility model, in step S1, after the information parameter for acquiring photovoltaic generating system, also It can be specifically included with the operating status (operating condition of each component) of real-time judgment photovoltaic system:
The generated output for calculating each photovoltaic module in real time, counts the history generated output of each component, and passes through comparison Irradiation instrument related information parameters judge the real-time running state and health status of each photovoltaic module.The operating status and healthy shape State include whether can be blocked by photovoltaic module attenuation rate, component, component health status SOH value etc. determines.
More specifically, different photovoltaic modulies has the generated output of a reference according to the data of photovoltaic irradiation instrument, this A reference power is the average value that multiple power stations are obtained in identical irradiation.This average value is to be included in photovoltaic group Part attenuation curve calculates.Under the conditions of given irradiation level, component power specific formula for calculation is as follows:
P is the output power that power should reach, and Pi is the power that i-th of component issues, and β i is the decaying of i-th of component Rate (can look into the attenuation curve that photovoltaic module producer provides), and n is that how many a components participate in calculating altogether.In n component of selection When, using (Local Outlier Factor), LOF algorithm is screened, so that it is guaranteed that the reliability of calculated value.
If the operation power of component is lower than the 85% of this average value, it can determine that there are problems for this component.If Operation power is higher than 85% lower than 90% and determines that the component is cleaned.Its power generation situation is observed after cleaning.
The attenuation rate that photovoltaic module can be calculated according to annual data statistics utilizes the irradiation level (MJ/m of current year2) with The standard sunshine-duration is converted (solar energy resources (MJ/m2) be scaled standard sunshine number system number be 3.6 hours).Such as somewhere Solar radiation amount is 5000MJ/m2, then equivalent hourage is 1388.8 hours, and the generated output of a photovoltaic module 270W is 374.97kWh.Generated output to measure annual each component on the basis of this.Then the value of last year is compared with the value in this year, Finally obtain the attenuation state of component.This attenuation state value compares the attenuation curve provided with component producer, if The difference that decays is greater than 15%, will judge that this component is replaced.
In step s 2, the information parameter of energy-storage system of accumulator includes battery core voltage and temperature of each PACK etc.;It connects Enter the AC/DC voltage of energy accumulation current converter, electric current, the relevant parameters such as all kinds of protection signals.
It further include sentencing after the information parameter for acquiring energy-storage system of accumulator in one embodiment of the utility model The operating status for determining each battery core of energy-storage system, specifically includes:
The health status SOH value of each battery core and/or the SOC state of each battery core are calculated, by instructing to each PACK Interior BMS carries out battery balanced operation.According to the relevant parameter of energy accumulation current converter, the automatic method of operation that energy accumulation current converter is set (PQ mode and VF mode);Further, it is also possible to design all kinds of battery core Protection parameters, the operation of energy-storage system of accumulator is carried out real When protect.For energy-storage system under V/F working condition, whole system can be detached from operation of power networks.
In step s3, the information parameter of load management unit includes the information such as electricity and the load total amount of each load ginseng Number.More specifically, step S3 includes: the load type started using embedded algorithm real-time identification, and counts and calculate each load Electricity consumption;By establishing historical data training neural network load model, load tendency is predicted.
Load type refers to that specific load, e.g. compressor start or starting of air conditioner still illuminate starting etc..Sentence Disconnected foundation is the variation of active power and reactive power.Burden with power is the superposition of the active power of each electric appliance;It is idle negative Lotus is the superposition of the reactive power of each electric appliance.More specifically, (can have comprising specified by the feature database for establishing each load Function, power factor etc.) real-time identification starting load type.Which load starting obtained by active equation and idle equation, Which load stops obtaining adjustable load, can turn off load.Load can be turned off to refer to, in certain period of time, I Can not need this load can also work (for example, night headlamp shutdown 5, does not influence equally to produce, such load is Load can be turned off), removable dynamic load refers to, as laundry on daytime clothes and night laundry clothes are, the load of washing machine is removable Dynamic load.Active equation and idle equation are as follows:
Active equation: P=x1*P1+x2*P2+x3*P3+ ...
Idle equation: Q=x1*Q1+x2*Q2+x3*Q3+ ...
Wherein, P, Q are the active of ammeter overall measurement and without work value, and P1, P2 ... are the specified wattful powers of each load Rate, Q1, Q2 are each reactive load power calculated by power factor (PF).X1, X2 ..., value [0,1], 0 representative are negative Lotus stops, and 1 represents load starting.By genetic algorithm and maximal possibility estimation, x1, x2 .. value, so that it may which be obtained are obtained Load starting, which load stop.Coulomb collection system and control system are accessed in each load side, is handed down to by instruction Each specific load operation unit, adjustable removable dynamic load, or opening and closing can turn off load.
Neural network load pattern is a prediction to entire load (all load superpositions);It is calculated by genetic algorithm The value of x1 out, x2 ..., to realize that load non-intrusion type recognizes.
Beyond the clouds in Energy Management System, real-time data base and historical data base are had.Photovoltaic power generation quantity prediction and load Model prediction is all the algorithm with neural network;This algorithm is to establish model using historical data.Historical data is more, this What the model of neural network was trained to will be more accurate, so his precision of prediction can also increase substantially.It daily can be by history Data input neural photovoltaic load model, neural network load model is trained, and every to increase by one day, training data increases by one It, so that the prediction accuracy of photovoltaic, load model can also be promoted.
In step s 4, the status information of power grid includes grid connection state and off-network state, in grid-connected and off-grid operation It carves, there is respectively different operational objective functions, the power of the energy storage charge and discharge obtained using genetic algorithm is controlled, and system is formulated System control strategy.
More specifically, energy storage is there are two data, one be charge/discharge power, one be charge/discharge electricity. Such as configuration 10MW/40MWh energy-storage system be exactly 10MW power need 4 hours be full of, electric discharge can maintain 10MW function 4 hours of rate.Here the calculating of genetic algorithm and load identification are not related, but calculate energy storage using same algorithm When discharge, much power discharge (when charging, much power chargings) for example: it is 24 hours following, have a light The prediction for lying prostrate generated output, there is a prediction of a load, objective function be it is minimum with the exchange power of power grid, then calculated by heredity Method calculates the charge-discharge electric power (being included in prediction error) of each period energy storage.
Under grid-connect mode, there are four kinds of states as shown in table 1 below:
Table 1
Objective function under grid-connect mode is reduction and the electricity interaction of power grid, passes through the photovoltaic generation power for predicting to obtain Time and the power of energy storage charge and discharge the most reasonable are calculated using genetic algorithm with load tendency.So that state 2 and state 4 Do not occur (there are the control spaces of battery system) as far as possible.
Under off-network mode, there are four kinds of states as shown in table 2 below:
Table 2
Objective function under off-network mode is to be powered as far as possible using photovoltaic electric, and energy-storage system carries out stablizing power grid Work.It is also that energy storage charge and discharge the most reasonable is calculated using genetic algorithm by prediction photovoltaic power generation situation and load condition The time of electricity and power.So that state 6 and state 8 do not occur as far as possible.
In the present embodiment, according to the electric network information (and off-network state) of acquisition, the state of the SOC of energy storage, prediction photovoltaic hair Electricity, controls the operating status (switching of PQ and VF) of photovoltaic DC-to-AC converter, and comprehensively considers the state of energy storage SOC to adjust energy storage The operating status (PQ mode and VF mode) of current transformer, it is ensured that system safe and stable operation.
The utility model provides a kind of light storage lotus intelligent management all-in-one machine, and light storage lotus intelligent management all-in-one machine will connect Photovoltaic, energy storage and the load system entered reasonably incorporates into a light storage micro-capacitance sensor into, and the parallel connection of multiple devices can be set to micro- Power grid group and cloud virtual power plant.The utility model can constantly predict the tendency of generation of electricity by new energy and load, to combine electricity The more reasonable adjusting energy-storage system of net information adjusts adjustable load and removable dynamic load, so that light stores up lotus intelligent management The energy efficiency that operation inside all-in-one machine is optimal.Remotely each micro-capacitance sensor can be controlled by the algorithm in cloud System, while light storage lotus intelligent management all-in-one machine is embedded in intelligent algorithm, can reasonably count according to current operation data Control mode is calculated, so that single micro-capacitance sensor operates in optimal working condition.
Above-mentioned technical proposal is a kind of embodiment of the utility model, for those skilled in the art, On the basis of the utility model discloses application method and principle, it is easy to various types of improvement or deformation are made, without It is only limitted to method described in the above-mentioned specific embodiment of the utility model, therefore previously described mode is only preferred, and Not restrictive meaning.

Claims (4)

1. a kind of light stores up lotus intelligent management all-in-one machine, which is characterized in that including light store up lotus intelligent management system and with it is described Light stores up connected power grid, photovoltaic generating system, energy-storage system of accumulator and the load management system of lotus intelligent management system;Its In, the light storage lotus intelligent management system includes:
Long-range MCU acquisition module, passes through data acquisition line and the photovoltaic generating system, energy-storage system of accumulator and load pipe Reason system is connected;
MCU main control module is connected with the long-range MCU acquisition module;
Communication module is connected with the MCU main control module.
2. light according to claim 1 stores up lotus intelligent management all-in-one machine, which is characterized in that the photovoltaic generating system packet Include at least one photovoltaic cells, inverter and irradiation instrument;The photovoltaic cells pass through data acquisition line and the smooth Chu Hezhi Energy management system is connected;The inverter is connected by AC/DC line with the photovoltaic cells, and the inverter is adopted by data Line concentration is connected with light storage lotus intelligent management system;The irradiation instrument stores up lotus intelligent management by data acquisition line and the light System is connected.
3. light according to claim 1 stores up lotus intelligent management all-in-one machine, which is characterized in that the energy-storage system of accumulator Including energy-storage units and the energy accumulation current converter being connected with the energy-storage units, the energy accumulation current converter by data acquisition line with The light storage lotus intelligent management system is connected.
4. light according to claim 1 stores up lotus intelligent management all-in-one machine, which is characterized in that the load management unit packet Include cloud monitor;The cloud monitor stores up lotus intelligent management system with the light by data acquisition line and is connected.
CN201821640214.5U 2018-10-10 2018-10-10 Light stores up lotus intelligent management all-in-one machine Active CN209389722U (en)

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* Cited by examiner, † Cited by third party
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CN113472009A (en) * 2021-07-01 2021-10-01 北京机械设备研究所 Multi-working-condition parallel light storage integrated machine system and configuration method thereof

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113472009A (en) * 2021-07-01 2021-10-01 北京机械设备研究所 Multi-working-condition parallel light storage integrated machine system and configuration method thereof

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