CN109149624A - A kind of predictable light storage distributed energy management system and its control method - Google Patents
A kind of predictable light storage distributed energy management system and its control method Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The present invention relates to a kind of predictable light storage distributed energy management system and its control methods, including energy management system control station, energy management system control station is separately connected photovoltaic cells and energy-storage units by controller, energy management system control station connects weather server, weather server acquires second day meteorological data, it is transferred to energy management system control station, after carrying out data processing operation, gives photovoltaic cells and the corresponding operating instruction of energy-storage units.Compared with prior art, the present invention predicts second day solar radiation amount by meteorological data, configures corresponding charge volume to energy-storage units by calculating, when maximum probability avoids that electricity consumption occurs greater than photovoltaic power generation quantity, energy storage discharges electricity, can not peak clipping or photovoltaic power generation be greater than electricity consumption, and energy-storage units fill with and can not be valley-fill, it realizes that charge and discharge are intelligent, promotes energy management system working efficiency, furthermore, reduction energy-storage units, which are completely full of, to be put, and service life increases.
Description
Technical field
The invention belongs to photovoltaic solar technical fields, and in particular to a kind of predictable light storage distributed energy management system
System and its control method.
Background technique
Distributed energy management system is a set of energy for integrating energy processes monitoring, energy scheduling, energy management
The computer system of control integration.The system uses layered distribution type system architecture, realize to various energy mediums and
All kinds of energy supply energy consumption systems carry out Centralized Monitoring and United Dispatching.Meanwhile the system can ensure that the scientific, timely of energy scheduling
Property and reasonability, pass through energy programme, energy monitor, energy statistics, energy-consuming analysis, emphasis energy consumption equipment management, the energy
The multiple means such as measuring equipment management improve using energy source level and whole efficiency of energy utilization.
On the one hand, distributed energy and industry in region, Gongjian, inhabitation and life are mating etc. has various different energy
The user of source demand concentrates connection, forms relatively independent closed circuit, and energy management system passes through the skills such as ICT, artificial intelligence
Art carries out internal schedule to energy source and user terminal；On the other hand, distributed energy is plugged into external electrical network, passes through distribution
Energy management system copes with load variations at any time, reinforces electric power safeguard.
It is to allow to generate electricity photovoltaic system daytime in most cases for light energy storage management system, energy-storage units night
Between charge, daytime electric discharge, energy management system management be responsible for adjustment photovoltaic and energy storage power output with peak load shifting.The strategy
The amount that disadvantage is that battery charges daily is fixed, and can not do effective matching according to the generated energy of second day photovoltaic, have
When electricity consumption may occur greater than photovoltaic power generation, energy storage discharges electricity, can not peak clipping or photovoltaic power generation it is excessive,
And energy-storage battery fills with and can not be valley-fill.
Summary of the invention
The purpose of the present invention is to solve the above-mentioned problems and provides predictable light storage distributed energy management system
And its control method.
The purpose of the present invention is achieved through the following technical solutions:
A kind of predictable light storage distributed energy management system, including energy management system control station, the energy
Management system control station is separately connected photovoltaic cells and energy-storage units by controller, and the energy management system control station connects
Weather server is connect, the weather server acquires second day meteorological data, is transferred to energy management system control station, into
After row data processing operation, photovoltaic cells and the corresponding operating instruction of energy-storage units are given.
Further, storage ground corresponding with cloud layer motion conditions more than at least a year in the weather server
The historical data of solar radiation amount.
Further, the energy management system control station connects data collector, the data collector connection
Photovoltaic cells electric energy meter, energy-storage units electric energy meter and load end electric energy meter, the electricity of acquisition photovoltaic cells, energy-storage units and load end
Pressure, electric current and electricity consumption data.
Further, the energy management system control station connects data storage server, the data collector
The information preservation of acquisition is to data storage server.
Further, the photovoltaic cells include photovoltaic module, photovoltaic DC-to-AC converter, cutting-in control cabinet and bus,
In, photovoltaic module is connected by direct current cable with photovoltaic DC-to-AC converter, and photovoltaic DC-to-AC converter passes through ac cable and cutting-in control cabinet phase
Even, cutting-in control cabinet is connect by ac cable with bus.
Further, the energy-storage units include that lithium battery energy storage battery, plumbic acid energy storage, the energy storage of lead carbon, water accumulation of energy or ice store
Energy.
The control method of the light storage distributed energy management system, specifically includes the following steps:
(1) meteorological data that second day is acquired by weather server, obtains second day solar radiation amount；
(2) calculate second day estimated day online generated energy with it is expected that energy storage night charge volume；
(3) energy management system control station usually controls photovoltaic cells power generation at electricity price on daytime peak, in night electricity price paddy
Energy-storage units charging is controlled, it is out of service if energy-storage units charging reaches estimated energy storage night charge volume, otherwise carry out always
Charging；
(4) day online generated energy and power load size are judged, if day online generated energy is greater than power load, to energy storage
Unit fills extra electricity, after energy-storage units are full of, then reduce photovoltaic cells generated output, otherwise charges always；If day
Generated energy of surfing the Internet is less than power load, then goes to step (5)；
(5) when day online generated energy is less than power load, control energy-storage units electric discharge, if energy-storage units electricity is finished,
It is supplemented by alternating current.
Estimated day online generated energy calculation formula described in step (2) are as follows:
Ep=HA × Paz × K/D
Wherein, Ep is the generated energy kWh that surfs the Internet estimated day, and HA is second day solar radiation amount kWh/m2, Paz is light
Unit installed capacity kWp is lied prostrate, K is overall efficiency coefficient, and D is the number of days of current year.
Estimated energy storage night charge volume calculation formula described in step (2) are as follows:
Ec=We-Ep-Es
Wherein, Ec is estimated energy storage night charge volume kWh, and We is the electricity consumption kWh that is averaged daytime, and Ep is on estimated day
Net generated energy kWh, Es are battery dump energy kWh.
Compared with prior art, the present invention predicts second day solar radiation amount by collecting meteorological data, and calculates the
The generated energy of two days photovoltaic cells, and corresponding charge volume is configured to energy-storage units by calculating, thus maximum probability has avoided
When electricity consumption may occur greater than photovoltaic power generation quantity, energy storage discharges electricity, can not peak clipping or photovoltaic power generation be greater than
Electricity consumption, and energy-storage units fill with and can not valley-fill both of these case, realize that charge and discharge are intelligent, promote energy management system
System working efficiency.In addition, scheme, energy-storage units need not be full of through the invention, if measuring second day photovoltaic cells every time
Generated energy is more, then can reduce night charge volume on the day of energy storage, reduces as far as possible carry out energy-storage units completely full of putting in this way, can
So that energy-storage units service life increases.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of energy management system of the present invention；
Fig. 2 is the flow diagram of energy management system of the present invention operation；
In figure: 1- energy management system control station；2- data collector；3- weather server；4- controller；5- data are deposited
Store up server；6- photovoltaic cells electric energy meter；7- energy-storage units electric energy meter；8- load end electric energy meter；9- photovoltaic cells；10- energy storage
Unit.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment 1
A kind of predictable light storage distributed energy management system, as shown in Figure 1, include energy management system control station 1,
Energy management system control station 1 is separately connected photovoltaic cells 9 and energy-storage units 10, energy management system control by controller 4
It stands 1 connection weather server 3, weather server 3 acquires second day meteorological data, is transferred to energy management system control station 1,
After carrying out data processing operation, photovoltaic cells 9 and the corresponding operating instruction of energy-storage units 10 are given.Storage in weather server 3
The historical data of earthbound solar energy amount of radiation corresponding with cloud layer motion conditions more than at least a year, energy management system control
It stands 1 connection data collector 2, data collector 2 connects photovoltaic cells electric energy meter 6, energy-storage units electric energy meter 7 and load end electric energy
Table 8, voltage, electric current and the electricity consumption data of acquisition photovoltaic cells 9, energy-storage units 10 and load end, energy management system control
It stands 1 connection data storage server 5, the information preservation that data collector 2 acquires is to data storage server 5.
The control method of predictable light storage distributed energy management system, flow diagram are as shown in Figure 2.To configure the sun
Certain office building of energy distributed power generation and energy-storage units is objective for implementation, and 8 hours electricity consumption time on daytime, it is flat to belong to the high peak of electricity price
Period, average load is 500KW per hour, and daily electricity consumption is about 4000kWh, and steady load arranges light storage power generation
System, photovoltaic cells installation amount are 500kw, and energy-storage units capacity is 4000kWh, and office building location solar energy resources are abundant
But also there is rainy weather sometimes.
The specific steps of system control are as follows:
1, weather server is sent by second day meteorological data being collected into from weather station to energy management system control station.
2, energy management system control station analyzes second day meteorological data, and main principle is that acquisition Geo-synchronous is defended
The satellite cloud picture of star shooting speculates cloud layer motion conditions, and the cloud layer movement feelings of at least a year or more have been stored in weather server
The historical data of the corresponding solar radiation amount for reaching ground of condition, and carry out annual data investigation and update, pass through solar energy
Amount of radiation and generated energy computation model estimate second day photovoltaic list to predict the estimated daily generation of photovoltaic cells
The generated energy of member.
The generated energy calculation formula it is expected that day surfs the Internet are as follows: Ep=HA × Paz × K/D, wherein Ep is generated energy of surfing the Internet estimated day
KWh, HA are second day solar radiation amount kWh/m2, Paz is photovoltaic cells installed capacity kWp, and K is overall efficiency system
Number, D are the number of days of current year.
It is expected that energy storage night charge volume calculation formula are as follows: Ec=We-Ep-Es, wherein Ec is estimated energy storage night charge volume
KWh, We are the electricity consumption kWh that is averaged daytime, and Ep is the generated energy kWh that surfs the Internet estimated day, and Es is battery dump energy kWh
Going through for earthbound solar energy amount of radiation is reached according to the cloud layer motion conditions stored in same day weather server are corresponding
History data, the solar radiation amount corresponding to historical data of the meteorological data closest to second day situation that finds out are 1500kW
h/m2, Paz 500kw, K be generally 0.8, have for the year 365 days, E p=H A × Paz × K/1000/365=1500*500*
0.8/365=1643.8kWh.
The generated energy that the electricity consumption of office building subtracts second day photovoltaic cells of estimation is subtracted into energy storage remaining capacity just again
The charge volume at night on the day of being energy-storage units, for the generation deficiency of second day supplement photovoltaic cells, the daily electricity consumption of office building
Amount is about 4000kWh, and same day energy-storage units remaining capacity is 300kwh, energy storage charge volume Ec=We-Ep-Es=4000-
1643.8-300=2056.2kwh.
3, charge level information is sent to controller by energy management system control station, and controller is in night electricity price paddy time section
Corresponding electricity is filled with by alternating current.
4, the flat period photovoltaic cells starting in the high peak of electricity price on second day daytime, starts to generate electricity, if power load is less than light
The generated output of unit is lied prostrate, then controller subtracts extra photovoltaic power generation quantity deposit energy-storage units if energy-storage units electricity is filled with
Small photovoltaic cells generated output, with matched load；If power load is greater than the generated output of photovoltaic cells, controller is by energy storage
Unit carries out electric discharge supplement；If the electricity in battery is used up, it is not able to satisfy electricity consumption still, then is supplemented using alternating current.
5, data collector can pass through photovoltaic cells electric energy meter, energy-storage units electric energy meter and load end electric energy meter collection photovoltaics
The data such as unit, the voltage and current of energy-storage units and load end and electricity consumption, and save to data storage server, for reporting
Table and data analysis.
Claims (9)
1. a kind of predictable light stores up distributed energy management system, including energy management system control station, the energy source capsule
It manages system control station and photovoltaic cells and energy-storage units is separately connected by controller, which is characterized in that the energy management system
Control station of uniting connects weather server, and the weather server acquires second day meteorological data, is transferred to energy management system
System control station after carrying out data processing operation, gives photovoltaic cells and the corresponding operating instruction of energy-storage units.
2. light according to claim 1 stores up distributed energy management system, which is characterized in that in the weather server
The historical data of storage earthbound solar energy amount of radiation corresponding with cloud layer motion conditions more than at least a year.
3. light according to claim 1 stores up distributed energy management system, which is characterized in that the energy management system
Control station connects data collector, data collector connection photovoltaic cells electric energy meter, energy-storage units electric energy meter and the load
Hold electric energy meter, voltage, electric current and the electricity consumption data of acquisition photovoltaic cells, energy-storage units and load end.
4. light according to claim 3 stores up distributed energy management system, which is characterized in that the energy management system
Control station connects data storage server, the information preservation that the data collector acquires to data storage server.
5. light according to claim 1 stores up distributed energy management system, which is characterized in that the photovoltaic cells include
Photovoltaic module, photovoltaic DC-to-AC converter, cutting-in control cabinet and bus, wherein photovoltaic module passes through direct current cable and photovoltaic DC-to-AC converter
It is connected, photovoltaic DC-to-AC converter is connected by ac cable with cutting-in control cabinet, and cutting-in control cabinet is connect by ac cable with bus.
6. light according to claim 1 stores up distributed energy management system, which is characterized in that the energy-storage units include
Lithium battery energy storage battery, plumbic acid energy storage, the energy storage of lead carbon, water accumulation of energy or ice accumulation of energy.
7. a kind of control method of light storage distributed energy management system as described in claim 1, which is characterized in that specific packet
Include following steps:
(1) meteorological data that second day is acquired by weather server, obtains second day solar radiation amount；
(2) calculate second day estimated day online generated energy with it is expected that energy storage night charge volume；
(3) energy management system control station usually controls photovoltaic cells power generation at electricity price on daytime peak, controls in night electricity price paddy
Energy-storage units charging, it is out of service if energy-storage units charging reaches estimated energy storage night charge volume, otherwise filled always
Electricity；
(4) day online generated energy and power load size are judged, if day online generated energy is greater than power load, to energy-storage units
Extra electricity is filled, after energy-storage units are full of, then reduce photovoltaic cells generated output, otherwise charges always；If day surfs the Internet
Generated energy is less than power load, then goes to step (5)；
(5) when day online generated energy is less than power load, control energy-storage units electric discharge if energy-storage units electricity is finished, passes through
Alternating current is supplemented.
8. the control method of light storage distributed energy management system according to claim 7, which is characterized in that step (2)
Online of the estimated day generated energy calculation formula are as follows:
Ep=HA × Paz × K/D
Wherein, Ep is generated energy of surfing the Internet estimated day, and HA is second day solar radiation amount, and Paz is photovoltaic cells installed capacity
KWp, K are overall efficiency coefficient, and D is the number of days of current year.
9. the control method of light storage distributed energy management system according to claim 7, which is characterized in that step (2)
The estimated energy storage night charge volume calculation formula are as follows:
Ec=We-Ep-Es
Wherein, Ec is estimated energy storage night charge volume, and We is the electricity consumption that is averaged daytime, and Ep is generated energy of surfing the Internet estimated day, and Es is
Battery dump energy.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110017570A (en) * | 2019-04-18 | 2019-07-16 | 上海建科建筑节能技术股份有限公司 | It is a kind of for source-lotus-energy storage source interconnection net system heat pump unit air conditioning electricity regulating system and working method |
| CN110401259A (en) * | 2019-08-07 | 2019-11-01 | 珠海格力电器股份有限公司 | Photovoltaic bus intelligent charging management and control method and system |
| CN112671017A (en) * | 2020-11-17 | 2021-04-16 | 珠海格力电器股份有限公司 | Energy system control method and device and energy system |
| CN113364020A (en) * | 2021-07-23 | 2021-09-07 | 浙江浙能技术研究院有限公司 | Light storage and energy charging control method based on meteorological information real-time regulation and control |
| CN114362154A (en) * | 2021-12-28 | 2022-04-15 | 湖南安华源电力科技有限公司 | Photovoltaic power station operation and maintenance method and system with energy storage system based on coordination control |
| CN117559520A (en) * | 2023-11-02 | 2024-02-13 | 中国能源建设集团广东火电工程有限公司 | Distributed photovoltaic and energy storage combined planning system and method |
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2017
- 2017-06-27 CN CN201710500952.3A patent/CN109149624A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110017570A (en) * | 2019-04-18 | 2019-07-16 | 上海建科建筑节能技术股份有限公司 | It is a kind of for source-lotus-energy storage source interconnection net system heat pump unit air conditioning electricity regulating system and working method |
| CN110401259A (en) * | 2019-08-07 | 2019-11-01 | 珠海格力电器股份有限公司 | Photovoltaic bus intelligent charging management and control method and system |
| CN112671017A (en) * | 2020-11-17 | 2021-04-16 | 珠海格力电器股份有限公司 | Energy system control method and device and energy system |
| CN113364020A (en) * | 2021-07-23 | 2021-09-07 | 浙江浙能技术研究院有限公司 | Light storage and energy charging control method based on meteorological information real-time regulation and control |
| CN114362154A (en) * | 2021-12-28 | 2022-04-15 | 湖南安华源电力科技有限公司 | Photovoltaic power station operation and maintenance method and system with energy storage system based on coordination control |
| CN114362154B (en) * | 2021-12-28 | 2023-06-27 | 湖南安华源电力科技有限公司 | Photovoltaic power station operation and maintenance method and system with energy storage system based on coordinated control |
| CN117559520A (en) * | 2023-11-02 | 2024-02-13 | 中国能源建设集团广东火电工程有限公司 | Distributed photovoltaic and energy storage combined planning system and method |
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