CN206164107U - Distributing type photovoltaic energy storage battery peak shaving system based on power prediction - Google Patents
Distributing type photovoltaic energy storage battery peak shaving system based on power prediction Download PDFInfo
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- CN206164107U CN206164107U CN201620762106.XU CN201620762106U CN206164107U CN 206164107 U CN206164107 U CN 206164107U CN 201620762106 U CN201620762106 U CN 201620762106U CN 206164107 U CN206164107 U CN 206164107U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/70—Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The utility model relates to a distributing type photovoltaic energy storage battery peak shaving system based on power prediction, include photovoltaic unit, grid -connected device, electric grid side, leave net device, power prediction, electric energy dispatch, energy memory, load etc, entire system by photovoltaic unit, grid -connected inverter, the electric energy meter that is incorporated into the power networks, gateway energy meter, electric wire netting, from net DCDC controller, ACDC controller, energy storage pipe reason system, from net DCAC controller, direct current load, exchange load, energy memory, power prediction unit, on -off control unit, communication unit, controlled switch K0, K1, K2, K3, K4, K5 etc. And constitute.
Description
Technical field
The utility model is related to the distributed photovoltaic energy storage peak shaving system based on power prediction, belongs to new forms of energy and distributed
Photovoltaic energy storage peak regulation application.
Background technology
Energy environment issues are restriction economy, the key factor of social development, and traditional energy is using with great environment
Cost, photovoltaic generation belongs to field of new energy generation, and its environmental friendliness having is characterized in that the breakthrough for solving energy environment issues
Mouthful.In recent years, China has made large quantities of large-scale ground photo-voltaic power generation stations, and while theCourse of PV Industry is advanced one is also left
A little negative effects, are limited by land use, build the northwestward is meagrely-populated, many desertes, barren beach more in large-sized photovoltaic the power station
Area, local electric energy consumption is limited in one's ability, and overhead power transmission line laying progress does not substantially catch up with photovoltaic plant construction speed, causes
Optical issue protrusion is abandoned more, and photovoltaic generation has greatly waste, and photovoltaic generation enterprise income cannot get effective guarantee, or even deposit
In serious financial loss, serious have impact on photovoltaic generation sustainable and healthy development.The optical phenomenon of abandoning of photovoltaic plant has caused
The attention of State-level, is protection photovoltaic generation sustainable and healthy development, protects the positive of photovoltaic generation enterprise development photovoltaic generation
Property, National Development and Reform Committee, National Energy Board put into effect on May 27th, 2016 receives with regard to carrying out wind-powered electricity generation, photovoltaic generation protection in full
The notice of purchase management work, sends out and changes the energy [2016] 1150, has appraised and decided part presence and has abandoned wind, abandons in optical issue area planning
Wind-powered electricity generation, photovoltaic generation are minimum to ensure purchase annual utilization hours.The digestion capability of photovoltaic plant location photovoltaic electric energy and send outside
Ability is the essence restraining factors of local theCourse of PV Industry, sends out and changes the energy [2016] 1150 and can protect in policy
The income of photovoltaic plant is built, but it is seriously stagnant with digestion capability deficiency, transmission of electricity construction progress fundamentally to solve photovoltaic generation
Essence contradiction afterwards.
Distributed photovoltaic power generation reduces the loss of power transmission and distribution link due to realizing that photovoltaic generation is dissolved nearby, is subject to
Increasing concern and attention, have put into effect successively the development that relevant policies advance distributed photovoltaic power generation, mesh on State-level
Front distributed photovoltaic power generation mainly has " generate power for their own use, remaining electricity online " and " fully surfing the Net " both of which, " generate power for their own use, remaining electricity
Mode Enterprise income mainly has for online ", by the public subsidies that generated energy in full is obtained, the electricity cost of saving of generating power for their own use, with
And the remaining electricity part of gene-ration revenue three that above mesh portions are obtained.
In the existing electrical network system of China, electricity rates are far above generating price, therefore " generating power for their own use, remaining electricity is surfed the Net "
Under pattern, increase the ratio that user side is generated power for their own use, distributed photovoltaic power generation enterprise can be made to obtain higher gene-ration revenue, subtract
Few enterprise investment payoff period, the enthusiasm that distributed photovoltaic power generation enterprise promotes distributed photovoltaic is improved, be conducive to whole photovoltaic
The sound development of industry, but photovoltaic generation peak period is not exclusively synchronous with peak times of power consumption, photovoltaic generation peak period sends
Electric energy is greatly sold to power grid enterprises by the pricing mode of remaining electricity online, virtually reduces the income of photovoltaic generation enterprise
Level.In order to improve the ratio that user side is generated power for their own use, it is proposed that a kind of distributed photovoltaic energy storage peak shaving based on power prediction
System, the system organically combines grid-connected, off-network, energy storage, power prediction, electric energy scheduling, load etc., pre- by rational power
Survey and electric energy scheduling, be capable of achieving distributed photovoltaic output 100% and generate power for their own use, using time-of-use tariffs peak load shifting, and as standby
Power supply reliability is improved with power supply.
The content of the invention
The utility model is generated power for their own use the not enough problem of ratio for distributed photovoltaic power generation, it is proposed that one kind is based on power
The distributed photovoltaic energy storage peak shaving system of prediction, main purpose is：Dispatched by rational power prediction and electric energy, solving to divide
Cloth photovoltaic generate power for their own use ratio deficiency problem while, can further realize using time-of-use tariffs peak load shifting, and conduct
Stand-by power supply improves electric power system reliability.The utility model another significance is, by applying the utility model
The distributed photovoltaic energy storage peak shaving system based on power prediction for providing, can greatly improve in the case where very little is changed
Possess the electric power system of energy storage device, such as communication base station electric power system, the comprehensive utilization of the electric power system with standby UPS
Rate, in addition, it is that demand is big, industrialization level is higher, scale to constitute most equipment of the present utility model and device
Change lower-cost standard device, therefore the method provided by the utility model, user or enterprise can be with little investments
The transformation of former electric power system is realized, the electric power system after transformation is provided simultaneously with parallel network power generation and peak regulation, photovoltaic off-grid are sent out
Electricity, using time-of-use tariffs peak load shifting and improve electric power system reliability function.
Specifically, the purpose of this utility model is achieved through the following technical solutions：
The utility model is by photovoltaic cells（100）, combining inverter（101）, grid-connected electric energy meter（102）, gate energy meter
（103）, electrical network（137）, off-network DC/DC controller（104）, AC/DC controllers（105）, energy storage management system（106）, off-network
DC/AC controllers（107）, DC load（108）, AC load（109）, energy storage device（110）, powder prediction device（111）、
Switch control unit（112）, communication unit（113）, the composition such as controlled switch K0, K1, K2, K3, K4, K5；Photovoltaic cells（100）
It is connected with controlled switch K1, K2, combining inverter（101）Input be connected with controlled switch K1, combining inverter（101）Output
With grid-connected electric energy meter（102）Input is connected, grid-connected electric energy meter（102）Output and gate energy meter（103）, controlled switch K3, K5
It is connected, gate energy meter（103）Output gets access to grid（137）；Off-network DC/DC controller（104）Input is connected with controlled switch K2,
Its output is connected to energy storage management system（106）Input；AC/DC controllers（105）Input is connected with controlled switch K3, and its is defeated
Go out to be connected to energy storage management system（106）Input；Off-network DC/AC controller（107）Input and energy storage management system（106）
Output be connected, its output is connected with controlled switch K4；Controlled switch K4, K5 are near AC load（109）Side be connected after with
AC load（109）It is connected；DC load（108）Input by K0 and energy storage management system（106）Output be connected；Energy storage
Device（110）With energy storage management system（106）It is joined directly together；Powder prediction device（111）Output and switch control unit
（112）Input be connected, its RS485/422 EBI by RS485/422 buses respectively with photovoltaic cells（100）, energy storage dress
Put（110）, DC load（108）, AC load（109）, gate energy meter（103）, communication unit（113）RS485/422
EBI is connected.
The utility model provide system can induction and conclusion be four-layer structure, the first Rotating fields include photovoltaic cells（114）,
Second Rotating fields include electrical network end（115）, grid-connecting apparatus（116）, off-network device（117）, third layer structure include power prediction
（121）, electric energy scheduling（118）, four-layer structure include energy storage device（119）, load（120）, wherein electrical network end（115）By closing
Mouth electric energy meter（103）And electrical network（137）Composition, grid-connecting apparatus（116）By K1, combining inverter（101）With grid-connected electric energy meter
（102）Composition, off-network device（117）By K2, off-network DC/DC controller（104）Composition, power prediction（121）By power prediction
Device（111）And communication unit（113）Composition, electric energy scheduling（118）By K0, K3, K4, K5, switch control unit（112）, storage
Can management system（106）, AC/DC controllers（105）, off-network DC/AC controller（107）Composition, load（120）By DC load
（108）, AC load（109）Composition, system dispatches photovoltaic cells, grid-connected, off-network, energy storage, power prediction, electric energy, load
Etc. organically combining into an entirety.
In the system that the utility model is provided, distributed photovoltaic works as mains failure based on grid-connected, supplemented by off-network, only
When, to maximally utilize distributed photovoltaic electric energy, distributed photovoltaic is just operated in off-network state, K1 closures show electrical network it is normal and
Distributed photovoltaic work is intended being operated in and net state, and K2 closures show that electrical network has had a power failure and distributed photovoltaic work or plan work
In off-network state, even if K3, K5 closure also cannot power for downstream plant when K2 is closed, define K1, K2 and at any time can not
Closure state is in simultaneously, and any one can not be closure state in K3, K5 when K2 is closed, and K4, K5 at any time can not be same
When be in closure state, closure state is in when K3, K4 are different, in 64 kinds of on off states above-mentioned definition of exclusion that K0 ~ K5 is constituted
After irrealizable on off state, remaining 24 kinds of effective on off states.
In the system that the utility model is provided, powder prediction device（111）By RS485 buses obtain photovoltaic cells
History run safeguards information, and DC load history run safeguards information, the following power distribution information for determining, AC load history
Operation maintenance information, the following power distribution information for determining, energy storage device history run safeguards information, current remaining capacity letter
Breath, dispatching of power netwoks, power failure are arranged and timesharing time-of-use tariffs information, local photovoltaic generation historical sample information, local weather forecast
Information etc., powder prediction device（111）The on off state of K0 ~ K5 determinations is given after integrated treatment above- mentioned information, and by switch
Control unit（112）Being opened or closed for control K0 ~ K5 switches, is adjusted with planning that energy storage device residual capacity completes electric energy in advance
Degree.
In the system that the utility model is provided, its communication unit for including（113）Can completion system and far-end server
Between information exchange, but its main function be reception system install ground photovoltaic generation historical sample information, Function Fitting side
Method and relevant parameter, and send it to powder prediction device（111）To the letter for being fitted photovoltaic generation power and weather information
Number relation, powder prediction device（111）Using following Weather Forecast Information, the functional relation of fitting and photovoltaic cells history fortune
The information such as row maintenance information come determine system future photovoltaic generation power, while collect dispatching of power netwoks, have a power failure arrange and timesharing peak
The relevant information of paddy electricity valency, the following power distribution and energy storage device residual capacity of alternating current-direct current load etc., by switch control rule
Unit（112）The state of control K0 ~ K5 switches can complete following function：Energy storage device is set to arrive in distributed photovoltaic peak power
The enough memory capacity of front advance reservation, to realize that distributed photovoltaic power generation 100% is generated power for their own use；Energy storage device is made before power failure
The enough capacity of deposit, to guarantee to be utilized after having a power failure the memory capacity of the generating of distributed photovoltaic off-network and energy storage device itself
Meet workload demand；Make energy storage device lay in appropriate electric energy in low ebb electricity price, it is ensured that future load using photovoltaic generation and
The electricity that prestores obtains maximum gain.
The method that the utility model is provided is applied to electric power system of the transformation with energy storage device, and such as communication base station is powered and is
System, the electric power system with standby UPS etc., on the premise of original system electric power-feeding structure is not changed, by appropriate increasing photovoltaic battle array are matched somebody with somebody
Row（122）, combining inverter（123）, grid-connected electric energy meter（124）, off-network DC/DC controller（125）, communication unit（126）, work(
Rate prediction meanss（127）, switch control unit（128）And for realizing controlled switch K6, K7, K8 that electric energy is dispatched etc., it is real
Now meet the distributed photovoltaic energy storage peak shaving system of user's primary demand.
Description of the drawings
Fig. 1 is based on the distributed photovoltaic energy storage peak shaving system schematic diagram of power prediction；
Fig. 2 is based on the distributed photovoltaic energy storage peak shaving system structure chart of power prediction；
Fig. 3 is communication base station electric power system transformation map；
Fig. 4 is electric energy scheduling flow figure when realizing that distributed photovoltaic power generation 100% is generated power for their own use；
Fig. 5 is electric energy scheduling flow figure when realizing that power failure meets workload demand；
Electric energy scheduling flow figure when Fig. 6 utilizes time-of-use tariffs peak load shifting function to realize；
Fig. 7 is controlled switch on-off logic table.
Specific embodiment
Embodiment one：
Included based on the distributed photovoltaic energy storage peak shaving system of power prediction：Photovoltaic cells（100）, combining inverter
（101）, grid-connected electric energy meter（102）, gate energy meter（103）, electrical network（137）, off-network DC/DC controller（104）, AC/DC control
Device processed（105）, energy storage management system（106）, off-network DC/AC controller（107）, DC load（108）, AC load（109）、
Energy storage device（110）, powder prediction device（111）, switch control unit（112）, communication unit（113）, controlled switch K0,
K1, K2, K3, K4, K5 etc..
The connected mode of each several part is as shown in figure 1, its concrete connected mode is as follows：Photovoltaic cells（100）With controlled switch
K1, K2 are connected, combining inverter（101）Input be connected with controlled switch K1, combining inverter（101）Output and grid-connected electric energy
Table（102）Input is connected, grid-connected electric energy meter（102）Output and gate energy meter（103）, controlled switch K3, K5 be connected, critical point electricity
Can table（103）Output gets access to grid（137）；Off-network DC/DC controller（104）Input is connected with controlled switch K2, its output connection
To energy storage management system（106）Input；AC/DC controllers（105）Input is connected with controlled switch K3, and its output is connected to storage
Can management system（106）Input；Off-network DC/AC controller（107）Input and energy storage management system（106）Output phase
Even, its output is connected with controlled switch K4；Controlled switch K4, K5 are near AC load（109）The connected rear and AC load in side
（109）It is connected；DC load（108）Input by K0 and energy storage management system（106）Output be connected；Energy storage device
（110）With energy storage management system（106）It is joined directly together；Powder prediction device（111）Output and switch control unit（112）It is defeated
Enter it is connected, its RS485/422 EBI by RS485/422 buses respectively with photovoltaic cells（100）, energy storage device（110）、
DC load（108）, AC load（109）, gate energy meter（103）, communication unit（113）RS485/422 EBIs
It is connected.
Fig. 2 show the system construction drawing according to Fig. 1 induction and conclusions, whole system can induction and conclusion be four-layer structure, the
One Rotating fields include photovoltaic cells（114）, the second Rotating fields include electrical network end（115）, grid-connecting apparatus（116）, off-network device
（117）, third layer structure include power prediction（121）, electric energy scheduling（118）, four-layer structure include energy storage device（119）、
Load（120）, wherein electrical network end（115）By gate energy meter（103）And electrical network（137）Composition, grid-connecting apparatus（116）By K1,
Combining inverter（101）With grid-connected electric energy meter（102）Composition, off-network device（117）By K2, off-network DC/DC controller（104）Group
Into power prediction（121）By powder prediction device（111）And communication unit（113）Composition, electric energy scheduling（118）By K0, K3,
K4, K5, switch control unit（112）, energy storage management system（106）, AC/DC controllers（105）, off-network DC/AC controller
（107）Composition, load（120）By DC load（108）, AC load（109）Composition, system by photovoltaic cells, it is grid-connected, from
Net, energy storage, power prediction, electric energy scheduling, load etc. organically combine into an entirety.
Embodiment two：
Based in the distributed photovoltaic energy storage peak shaving system of power prediction, distributed photovoltaic based on grid-connected, supplemented by off-network,
Only when mains failure, to maximally utilize distributed photovoltaic electric energy, distributed photovoltaic is just operated in off-network state, K1 closures
Show that electrical network is normal and distributed photovoltaic work or plan are operated in and net state, K2 closures show that electrical network has had a power failure and distributed light
Coucher is made or intends being operated in off-network state, even if K3, K5 closure also cannot power for downstream plant when K2 is closed, defines K1, K2
Closure state is not simultaneously at any time, and any one can not be closure state in K3, K5 when K2 is closed, and K4, K5 exist
Any moment is not simultaneously in closure state, and closure state, 64 kinds of on off states that K0 ~ K5 is constituted are in when K3, K4 are different
Exclude in above-mentioned definition after irrealizable on off state, remaining 24 kinds of effective on off states.
Based in the distributed photovoltaic energy storage peak shaving system of power prediction, K0 ~ K5 all possible on off state and switch
State description as shown in fig. 7, wherein 0 represent inductive switch is off, 1 represent to inductive switch be in closure state.Fig. 7
What is be given is controlled switch K0 ~ all possible on off states of K5, and K0 ~ K5 currently should be pre- by power in which kind of on off state
Survey device（111）Determined according to the result of power prediction, specific implementation is as follows：Powder prediction device（111）Pass through
RS485 buses obtain photovoltaic cells history run and safeguard information, and DC load history run safeguards information, the following power for determining
Distributed intelligence, AC load history run safeguards information, the following power distribution information for determining, energy storage device history run is safeguarded
Information, current remaining capacity information, dispatching of power netwoks, power failure are arranged and timesharing time-of-use tariffs information, local photovoltaic generation history sample
This information, local Weather Forecast Information etc., powder prediction device（111）K0 ~ K5 determinations are given after integrated treatment above- mentioned information
On off state, and by switch control unit（112）What control K0 ~ K5 was switched is opened or closed, to plan energy storage device in advance
Residual capacity completes electric energy scheduling.
Based in the distributed photovoltaic energy storage peak shaving system of power prediction, communication unit（113）Can completion system and distal end
Information between server is exchanged, but its main function is that reception system installs ground photovoltaic generation historical sample information, function
Approximating method and relevant parameter, and send it to powder prediction device（111）To be fitted photovoltaic generation power with meteorological letter
The functional relation of breath, powder prediction device（111）Using following Weather Forecast Information, the functional relation of fitting and photovoltaic cells
The information such as history run maintenance information come determine system future photovoltaic generation power, while collect dispatching of power netwoks, have a power failure arrange and
The relevant information of timesharing time-of-use tariffs, the following power distribution and energy storage device residual capacity of alternating current-direct current load etc., by opening
Close control unit（112）The state of control K0 ~ K5 switches can complete following function：Energy storage device is made in distributed photovoltaic its peak work
The enough memory capacity of advance reservation before rate arrival, to realize that distributed photovoltaic power generation 100% is generated power for their own use；Energy storage device is set to exist
The enough capacity of deposit before having a power failure, to guarantee distributed photovoltaic off-network can be utilized to generate electricity after having a power failure and energy storage device itself is deposited
Storage capacity meets workload demand；Energy storage device is set to lay in appropriate electric energy in low ebb electricity price, it is ensured that future load utilizes photovoltaic
The electricity that generates electricity and prestore obtains maximum gain.
It is to realize that distributed photovoltaic power generation 100% is generated power for their own use in present case, the detailed process of electric energy scheduling is carried out in advance
It is as follows：Powder prediction device（111）Prediction obtains following photovoltaic power generation quantity, load power consumption, and it is surplus to obtain current energy storage device
Whether remaining electricity, then judge following photovoltaic power generation quantity more than future load power consumption, if it is not greater, then K0 ~ K5's is current
On off state can keep constant or be switched to make energy storage device current capacities keep constant on off state, otherwise, then enter one
Can step judge all absorb photovoltaic providing auxiliary power amount using battery in the case where K0 ~ K5 on off states do not change,
If battery can absorb photovoltaic providing auxiliary power amount, K0 ~ K5 current switch states can keep constant or be switched to make energy storage
Device current capacities keep constant on off state, and otherwise, K0 ~ K5 current switch states are switched to makes energy storage device discharge in advance
The state of capacity.The idiographic flow of the process is referred to shown in Fig. 4.
It is to realize being generated electricity using distributed photovoltaic off-network after power failure expiring with the memory capacity of energy storage device itself in present case
Sufficient workload demand, the detailed process that electric energy scheduling is carried out in advance is as follows：Powder prediction device（111）Photovoltaic after the following power failure of prediction
Generated energy, load power consumption, and current energy storage device dump energy is obtained, then judge photovoltaic power generation quantity and storage after following power failure
Whether energy device current electric quantity sum is more than following power failure afterload power consumption, if it is not greater, then the current switch shape of K0 ~ K5
State is switched to the state for making energy storage device pass through the advance idle capacity of civil power, and otherwise, the current switch states of K0 ~ K5 can keep not
Becoming or being switched to makes capacity of energy storing device keep constant on off state.The idiographic flow of the process is referred to shown in Fig. 5.
It is to realize, using time-of-use tariffs peak load shifting function, the detailed process of electric energy scheduling being carried out in advance such as in present case
Under：Powder prediction device（111）Current power price is obtained first, and judges whether be currently peak times of power consumption electricity price, if
Be currently not peak times of power consumption electricity price, then determine whether whether be currently low power consumption phase electricity price, if it is current nor with
Whether electric low ebb phase electricity price, then meet future load demand true according to energy storage device residual capacity and following photovoltaic power generation quantity sum
Determine K0 ~ K5 current switch states, if being currently low power consumption phase electricity price, further adjust storage electricity price low ebb phase electricity with
The residual capacity that energy storage device should have when the following photovoltaic dump energy of storage obtains maximum return, and determine that K0 ~ K5 is current
On off state；If current just at peak times of power consumption, judge that energy storage device further discharges whether capacity copes with
The following possible period of want or need, if it is possible to which the following possible period of want or need of reply, then K0 ~ K5 current switch states are switched to discharges energy storage device
The state of capacity is to save electric energy, else if energy storage device further discharges capacity it cannot be guaranteed that tackling the following possible period of want or need,
Then K0 ~ K5 current switch states can keep constant or be switched to make capacity of energy storing device keep constant on off state.The process
Idiographic flow refer to shown in Fig. 6.
Embodiment three：
Based on the distributed photovoltaic energy storage peak shaving system of power prediction, the method that it is provided is applied to transformation with energy storage dress
The electric power system put, such as communication base station electric power system, the electric power system with standby UPS, power knot original system is not changed
On the premise of structure, photovoltaic array is matched somebody with somebody by appropriate increasing（122）, combining inverter（123）, grid-connected electric energy meter（124）, off-network DC/
DC controllers（125）, communication unit（126）, powder prediction device（127）, switch control unit（128）And for realizing
Controlled switch K6, K7, K8 of electric energy scheduling etc., realization meets the distributed photovoltaic energy storage peak shaving system of user's primary demand.Fig. 3
In shown systematic schematic diagram, dotted line frame outside is standard traffic base station electric power system configuration figure, and dotted line inframe is using this practicality
The method of new offer transforms the electric power system, needs to increase the part matched somebody with somebody or transform, and its breaker in middle K8 is by former electric power system
Uncontrolled switch is substituted for controlled switch, and after above-mentioned transformation, primary standard communication base station electric power system upgrades to power prediction
The distributed photovoltaic energy storage peak shaving system of function, can be greatly improved communication base station electric power system income level.
It should be noted that examples detailed above is just for the sake of elaboration design of the present utility model and implementation method, it is therefore an objective to
Those skilled in the art are made to understand particular content of the present utility model, it is possible to implement this invention like this, can not be with this
To limit protection domain of the present utility model.Therefore, all changes made according to the utility model principle, design, shape or repair
Decorations, all should cover in protection domain of the present utility model.
Claims (3)
1. the distributed photovoltaic energy storage peak shaving system of power prediction is based on, it is characterised in that system is by photovoltaic cells（100）And
Net inverter（101）, grid-connected electric energy meter（102）, gate energy meter（103）, electrical network（137）, off-network DC/DC controller（104）、
AC/DC controllers（105）, energy storage management system（106）, off-network DC/AC controller（107）, DC load（108）, exchange it is negative
Lotus（109）, energy storage device（110）, powder prediction device（111）, switch control unit（112）, communication unit（113）, it is controlled
The compositions such as switch K0, K1, K2, K3, K4, K5；Photovoltaic cells（100）It is connected with controlled switch K1, K2, combining inverter（101）
Input be connected with controlled switch K1, combining inverter（101）Output and grid-connected electric energy meter（102）Input is connected, grid-connected electric energy
Table（102）Output and gate energy meter（103）, controlled switch K3, K5 be connected, gate energy meter（103）Output gets access to grid
（137）；Off-network DC/DC controller（104）Input is connected with controlled switch K2, and its output is connected to energy storage management system（106）
Input；AC/DC controllers（105）Input is connected with controlled switch K3, and its output is connected to energy storage management system（106）It is defeated
Enter；Off-network DC/AC controller（107）Input and energy storage management system（106）Output be connected, its output with controlled switch K4
It is connected；Controlled switch K4, K5 are near AC load（109）The connected rear and AC load in side（109）It is connected；DC load
（108）Input by K0 and energy storage management system（106）Output be connected；Energy storage device（110）With energy storage management system
（106）It is joined directly together；Powder prediction device（111）Output and switch control unit（112）Input is connected, its RS485/422
EBI by RS485/422 buses respectively with photovoltaic cells（100）, energy storage device（110）, DC load（108）, exchange
Load（109）, gate energy meter（103）, communication unit（113）RS485/422 EBIs be connected.
2. the distributed photovoltaic energy storage peak shaving system of power prediction is based on as claimed in claim 1, it is characterised in that whole system
System can induction and conclusion be four-layer structure, the first Rotating fields include photovoltaic cells（114）, the second Rotating fields include electrical network end（115）、
Grid-connecting apparatus（116）, off-network device（117）, third layer structure include power prediction（121）, electric energy scheduling（118）, the 4th layer
Structure includes energy storage device（119）, load（120）, wherein electrical network end（115）By gate energy meter（103）And electrical network（137）Group
Into grid-connecting apparatus（116）By K1, combining inverter（101）With grid-connected electric energy meter（102）Composition, off-network device（117）By K2,
Off-network DC/DC controller（104）Composition, power prediction（121）By powder prediction device（111）And communication unit（113）Composition,
Electric energy is dispatched（118）By K0, K3, K4, K5, switch control unit（112）, energy storage management system（106）, AC/DC controllers
（105）, off-network DC/AC controller（107）Composition, load（120）By DC load（108）, AC load（109）Composition, be
Photovoltaic cells, grid-connected, off-network, energy storage, power prediction, electric energy scheduling, load etc. are organically combined into an entirety by system.
3. the distributed photovoltaic energy storage peak shaving system of power prediction is based on as claimed in claim 1, it is characterised in that distributed
Photovoltaic based on grid-connected, supplemented by off-network, only when mains failure, to maximally utilize distributed photovoltaic electric energy, distributed light
Volt is just operated in off-network state, and K1 closures show that electrical network is normal and distributed photovoltaic work or plan are operated in and net state, and K2 is closed
Conjunction show electrical network had a power failure and distributed photovoltaic work or intend be operated in off-network state, even if K2 close when K3, K5 closure also without
Method is powered for downstream plant, is defined K1, K2 and is not simultaneously in closure state at any time, any in K3, K5 when K2 is closed
One can not be closure state, and K4, K5 are not simultaneously at any time closure state, and closed form is in when K3, K4 are different
State, 64 kinds of on off states that K0 ~ K5 is constituted are excluded in above-mentioned definition after irrealizable on off state, and remaining 24 kinds are effectively opened
Off status.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106058905A (en) * | 2016-07-20 | 2016-10-26 | 姜宪明 | Distributed photovoltaic energy storage peak regulation system based on power prediction |
| CN108879778A (en) * | 2018-07-27 | 2018-11-23 | 国网河南节能服务有限公司 | Battery energy storage monitoring method and system, battery energy storage framework |
| CN110048462A (en) * | 2019-05-17 | 2019-07-23 | 广东工业大学 | A kind of energy dispatching method, the apparatus and system of parallel networking type photovoltaic energy-storage system |
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2016
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106058905A (en) * | 2016-07-20 | 2016-10-26 | 姜宪明 | Distributed photovoltaic energy storage peak regulation system based on power prediction |
| CN106058905B (en) * | 2016-07-20 | 2018-12-07 | 姜宪明 | Distributed photovoltaic energy storage peak shaving system based on power prediction |
| CN108879778A (en) * | 2018-07-27 | 2018-11-23 | 国网河南节能服务有限公司 | Battery energy storage monitoring method and system, battery energy storage framework |
| CN110048462A (en) * | 2019-05-17 | 2019-07-23 | 广东工业大学 | A kind of energy dispatching method, the apparatus and system of parallel networking type photovoltaic energy-storage system |
| CN110048462B (en) * | 2019-05-17 | 2023-09-12 | 广东工业大学 | Energy scheduling method, device and system of grid-connected photovoltaic energy storage system |
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