CN109149548A - Regional Energy management method, managing device and regional power grid - Google Patents
Regional Energy management method, managing device and regional power grid Download PDFInfo
- Publication number
- CN109149548A CN109149548A CN201810843952.8A CN201810843952A CN109149548A CN 109149548 A CN109149548 A CN 109149548A CN 201810843952 A CN201810843952 A CN 201810843952A CN 109149548 A CN109149548 A CN 109149548A
- Authority
- CN
- China
- Prior art keywords
- electricity
- power grid
- regional
- information
- energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of Regional Energy management method, managing device and regional power grids, wherein this method comprises: obtaining the power information respectively loaded in regional power grid；Wherein, regional power grid accesses each load in a manner of direct current supply；The electric energy scheduling in regional power grid is carried out according to power information.The present invention solves the problems, such as that Regional Energy manages unreasonable in the prior art, optimizes the electric energy scheduling in regional power grid.
Description
Technical field
The present invention relates to energy technology fields, in particular to a kind of Regional Energy management method, managing device and area
Domain power grid.
Background technique
Under energy shortages and the dual-pressure of environmental pollution, distributed generation technology improves traditional energy since it has
Utilization rate and the advantages that make full use of various renewable energy, gets the attention.In household electricity energy product, new energy
Product-derived comes into being.But most of new energy product power supplies are direct current supply, most of distributed power generation is direct current,
If they are accessed utility grid, need to carry out inversion.When distributed generation resource with large-scale grid connection mode access utility grid,
Traditional power grid structure and operation control will be influenced very big；When new energy product accesses utility grid, cost in the form of single machine
It is higher.
Unreasonable problem is managed for Regional Energy present in the relevant technologies, not yet proposes the side of efficiently solving at present
Case.
Summary of the invention
The present invention provides a kind of Regional Energy management method, managing device and regional power grids, at least to solve existing skill
Regional Energy manages unreasonable problem in art.
In order to solve the above technical problems, according to an aspect of an embodiment of the present invention, providing a kind of Regional Energy management
Method, comprising: obtain the power information respectively loaded in regional power grid；Wherein, regional power grid is accessed each negative in a manner of direct current supply
It carries；The electric energy scheduling in regional power grid is carried out according to power information.
Further, power information includes power demand and consumption habit；What is respectively loaded in acquisition regional power grid uses telecommunications
Breath, comprising: the time point for obtaining power information is determined according to weather information；Regional power grid is obtained after time point at time point
Electricity consumption data in preset time；The power demand and consumption habit of each load are determined according to electricity consumption data.
Further, the time point for obtaining power information is determined according to weather information, comprising: obtain the positioning of regional power grid
Information；Inquire the corresponding weather information of location information of meteorological department's publication；The starting in each season is determined according to weather information
Time, as time point.
Further, it carries out the electric energy in regional power grid according to power information to dispatch, comprising: according to consumption habit, prediction
The electricity peak period of regional power grid；Before electricity peak period arrival, energy storage device is controlled according to power demand and is deposited in advance
Store up enough electric energy.
Further, energy storage device is controlled according to power demand and enough electric energy is stored in advance, comprising: detection energy storage device
Existing electricity；Determine that the electricity for needing to store, control energy storage device are stored in advance according to existing electricity and power demand.
Further, energy storage device is controlled according to power demand and enough electric energy is stored in advance, comprising: detection energy storage device
Existing electricity；Predict the output power of generation of electricity by new energy device；Need are determined according to existing electricity, output power and power demand
The electricity to be stored, control energy storage device are stored in advance.
Further, the output power of generation of electricity by new energy device is predicted, comprising: the real-time weather of inquiry meteorological department publication
Information；And/or detection real-time weather information；The output power of generation of electricity by new energy device is predicted according to real-time weather information.
Further, control energy storage device is stored in advance, comprising: forecasted electricity market price fluctuation tendency；According to Electricity price fluctuation
Trend determines electricity price low ebb period, in electricity price low ebb period, controls energy storage device and is stored in advance.
Further, forecasted electricity market price fluctuation tendency, comprising: obtain the location information of regional power grid；Inquire Utilities Electric Co.'s hair
The corresponding electricity price information of the location information of cloth and electric energy scheduling information；According to electricity price information and electric energy scheduling information forecasted electricity market price wave
Dynamic trend.
Further, regional power grid further include: new energy equipment, new energy equipment are preferably load supplying；According to electricity consumption
Information carries out the electric energy scheduling in regional power grid, further includes: in also extra electric energy after new energy equipment is load supplying,
Extra electric energy is incorporated to regional power grid, for regional power grid use.
Further, after extra electric energy is incorporated to regional power grid, further includes: record is incorporated to the extra electricity of regional power grid
Can, for offsetting the electricity consumption of load.
Further, it carries out the electric energy in regional power grid according to power information to dispatch, further includes: determined according to consumption habit
The electricity consumption priority respectively loaded；Electricity peak period according to electricity consumption priority be each load supplying.
Further, energy storage device is battery group；Generation of electricity by new energy device is photovoltaic module；Load at least includes: public affairs
Facility, user equipment altogether.
According to another aspect of an embodiment of the present invention, a kind of Regional Energy managing device is provided, comprising: module is obtained,
For obtaining the power information respectively loaded in regional power grid；Wherein, regional power grid accesses each load in a manner of direct current supply；Scheduling
Module, the electric energy for being carried out in regional power grid according to power information are dispatched.
Further, power information includes power demand and consumption habit；Obtaining module includes: time determination unit, is used
In the time point for determining acquisition power information according to weather information；Acquiring unit, for time point obtain regional power grid when
Between put after electricity consumption data in preset time；Power information determination unit, for determining the use of each load according to electricity consumption data
Electricity demanding and consumption habit.
Further, scheduler module includes: predicting unit, for according to consumption habit, the electricity consumption of estimation range power grid to be high
Peak period；Pre- memory cell, for controlling energy storage device according to power demand and foot being stored in advance before electricity peak period arrival
Enough electric energy.
Further, scheduler module includes: priority determining unit, for determining the electricity consumption of each load according to consumption habit
Priority；Power supply unit is used in electricity peak period be each load supplying according to electricity consumption priority.
Another aspect according to an embodiment of the present invention, provides a kind of regional power grid, including above-mentioned Regional Energy management
Device, wherein regional power grid includes: total ammeter, battery group, photovoltaic module, communal facility, user equipment.
Further, regional power grid is interacted by two-way AC/DC converter with utility grid.
Further, total ammeter is two-way ammeter, the electricity and grid-connected electricity that record area power grid uses；Battery group,
Photovoltaic module, communal facility, user equipment are connected to total ammeter.
Further, regional power grid is powered using high voltage direct current；Battery group is connected to by two-way DC/DC converter
The high voltage DC busses of regional power grid；Photovoltaic module is connected to the high voltage DC busses of regional power grid by DC/DC converter；
Communal facility is connected to the high voltage DC busses of regional power grid by DC/DC converter；User equipment passes through DC/DC converter
It is connected to the high voltage DC busses of regional power grid.
Further, mesolow direct current supply is used inside user equipment；User equipment further includes electric supply meter, for remembering
That employs family uses electricity and generated energy.
In the present invention, in order to solve the problems, such as that Regional Energy manages unreasonable in the prior art, provides a kind of region
Energy management method is carried out in regional power grid by obtaining the power information respectively loaded in regional power grid according to power information
Electric energy scheduling optimizes the electric energy scheduling in regional power grid so that it is unreasonable to efficiently solve the problems, such as that Regional Energy manages.
Detailed description of the invention
Fig. 1 is a kind of optional flow chart of according to embodiments of the present invention 1 Regional Energy management method；
Fig. 2 is the optional flow chart of another kind of according to embodiments of the present invention 1 Regional Energy management method；
Fig. 3 is a kind of optional structural block diagram of according to embodiments of the present invention 2 Regional Energy managing device；And
Fig. 4 is a kind of optional structural block diagram of according to embodiments of the present invention 3 regional power grid.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Embodiment 1
A kind of Regional Energy management method is provided in the preferred embodiment of the invention 1.Specifically, Fig. 1 shows this
A kind of optional flow chart of method, as shown in Figure 1, this method comprises the following steps S102-S104:
S102: the power information respectively loaded in regional power grid is obtained；Wherein, regional power grid is accessed respectively in a manner of direct current supply
Load；
S104: the electric energy in regional power grid is carried out according to power information and is dispatched.
In the above-described embodiment, in order to solve the problems, such as that Regional Energy manages unreasonable in the prior art, provides one
Kind Regional Energy management method carries out region electricity according to power information by obtaining the power information respectively loaded in regional power grid
Electric energy scheduling in net, so that it is unreasonable to efficiently solve the problems, such as that Regional Energy manages, optimizes the electric energy in regional power grid
Scheduling.
In one preferred embodiment of the invention, power information includes power demand and consumption habit；Obtain region
The power information respectively loaded in power grid, comprising: the time point for obtaining power information is determined according to weather information；It is obtained at time point
Electricity consumption data of the regional power grid after time point in preset time；The power demand and use of each load are determined according to electricity consumption data
Electricity habit.
Preferably, the time point for obtaining power information is determined according to weather information, comprising: obtain the positioning letter of regional power grid
Breath；Inquire the corresponding weather information of location information of meteorological department's publication；When determining the starting in each season according to weather information
Between, as the time point for obtaining power information.When it is implemented, can be automatically positioned by control system, inquiry meteorological department hair
This area's season of cloth divides, and 2 weeks before per first quarter, control system is using deep learning algorithm study monitoring modular feedback
Each resident domestic electric network and public domain power consuming load power demand information, summarize each resident and public power consuming load
Consumption habit.
Optionally, it can also be determined meteorological prominent by the corresponding weather information of location information of inquiry meteorological department publication
Become time point, as the time point for obtaining power information, specifically, meteorological mutation includes: temperature cataclysm or rainy season.
Specific determine can be by detecting the changing value of temperature whithin a period of time, by changing value and default temperature change when temperature cataclysm
Threshold value compares, and when being more than default temperature change value, determines temperature cataclysm；Specifically determine that rainy season can exist by detection
Quantum of rainfall in a period of time compares quantum of rainfall and default rainfall threshold value, when being more than default rainfall threshold value,
Determine rainy season.
In the above-described embodiment, it carries out the electric energy in regional power grid according to power information to dispatch, comprising: practised according to electricity consumption
It is used, the electricity peak period of estimation range power grid；Before electricity peak period arrival, energy storage device is controlled according to power demand
Enough electric energy are stored in advance.Energy storage device is battery group.After determining consumption habit, according to consumption habit estimation range
The power grid daily peak of power consumption period optimizes electric energy scheduling in season region accordingly, and control battery group is in region electricity consumption height
Enough energy were stored before the peak phase, to meet the power demand of each load in electricity peak period.
Further, energy storage device is controlled according to power demand and enough electric energy is stored in advance, comprising: detection energy storage device
Existing electricity；Determine that the electricity for needing to store, control energy storage device are stored in advance according to existing electricity and power demand.
Optionally, energy storage device is controlled according to power demand and enough electric energy is stored in advance, comprising: detect energy storage device
Existing electricity；Predict the output power of generation of electricity by new energy device；Needs are determined according to existing electricity, output power and power demand
The electricity of storage, control energy storage device are stored in advance.Wherein, the output power of generation of electricity by new energy device is predicted, comprising: look into
Ask the real-time weather information of meteorological department's publication；And/or detection real-time weather information；New energy is predicted according to real-time weather information
The output power of source generating set.The real-time weather information that can be issued by obtaining meteorological department, can also pass through region electricity
Oneself detection real-time weather information is netted, to predict the output power of generation of electricity by new energy device.
Preferably, control energy storage device is stored in advance, comprising: forecasted electricity market price fluctuation tendency；Become according to Electricity price fluctuation
Gesture determines electricity price low ebb period, in electricity price low ebb period, controls energy storage device and is stored in advance.Forecasted electricity market price fluctuation tendency,
It include: the location information for obtaining regional power grid；Inquire the corresponding electricity price information of location information and electric energy tune of Utilities Electric Co.'s publication
Spend information；According to electricity price information and electric energy scheduling information forecasted electricity market price fluctuation tendency.Electric energy is stored in advance in electricity price low ebb period
Power grid can be alleviated in the pressure of peak time, and saved cost.
In presently preferred embodiment, regional power grid further include: new energy equipment, new energy equipment are excellent
It is first load supplying；The electric energy scheduling in regional power grid is carried out according to power information, further includes: supply for load in new energy equipment
There are also when extra electric energy after electricity, extra electric energy is incorporated to regional power grid, for regional power grid use.It is incorporated to by extra electric energy
After regional power grid, further includes: record is incorporated to the extra electric energy of regional power grid, for offsetting the electricity consumption of load.New energy hair
Denso is set to photovoltaic module, when new energy equipment is generated more than the electric energy itself used, sends information to control system, control system
System dispatches the part electric energy according to real time information, reduces grid-connected number, reduces the interference to utility grid；The new energy of user produces
When product generate electric energy more than needed, the preferential electrical equipment supplied in consumer networks is used, if still having more than needed, control system is according to reality
When information be scheduled, electric supply meter recording and sending user contributes energy data to control system at this time, calculate and offset electricity,
Control system issues electric supply meter, electric supply meter metering user electricity consumption situation for electricity is offset, and user can check use by ammeter
Power information.
In another preferred embodiment of the invention, the electric energy in regional power grid is carried out according to power information and is dispatched,
Further include: the electricity consumption priority of each load is determined according to consumption habit；It is born in electricity peak period according to electricity consumption priority to be each
Carry power supply.Load at least includes: communal facility, user equipment.In the region peak of power consumption period, control system disconnects nonessential
Power consuming load power supply circuit provides the electricity consumption priority of power consuming load according to region consumption habit, the preferential load high to rank
Power supply, for example preferentially power to elevator, lighting system, disconnect automobile charging pile power supply circuit.
In the preferred embodiment of the invention 1, another Regional Energy management method is additionally provided.Specifically, Fig. 2 shows
A kind of optional flow chart of this method out, as shown in Fig. 2, this method comprises the following steps:
Start；
Control system inquiring position information, weather information, electricity price information receive monitoring modular feedback information；
Control system learns consumption habit, predicts energy storage capacity and controls battery group energy storage, the setting peak of power consumption period is negative
Carry electricity consumption priority；
Control relay on-off；
Judge whether Regional Energy management system closes；
When closed, terminate；Otherwise, control system query steps are returned.
In above-mentioned zone energy management system, when system is opened, control system automatic positioning, Query Location of networking automatically
The electricity price information of regional Utilities Electric Co.'s publication, the weather information of meteorological department's publication receive simultaneously research and application module feedback information,
Deep learning algorithm obtains region power information, controls each power supply circuit on-off in conjunction with monitoring modular feedback information；If the energy
Management system is closed, then stops electric energy traffic control.
Embodiment 2
The Regional Energy management method provided in 1 based on the above embodiment, also provides in the preferred embodiment of the invention 2
A kind of Regional Energy managing device, specifically, Fig. 3 shows a kind of optional structural block diagram of the device, as shown in figure 3, should
Device includes:
Module 302 is obtained, for obtaining the power information respectively loaded in regional power grid；Wherein, regional power grid is supplied with direct current
Electric mode accesses each load；
Scheduler module 304 is connect with module 302 is obtained, for carrying out the electric energy tune in regional power grid according to power information
Degree.
In the above-described embodiment, in order to solve the problems, such as that Regional Energy manages unreasonable in the prior art, provides one
Kind Regional Energy managing device carries out region electricity according to power information by obtaining the power information respectively loaded in regional power grid
Electric energy scheduling in net, so that it is unreasonable to efficiently solve the problems, such as that Regional Energy manages, optimizes the electric energy in regional power grid
Scheduling.
In one preferred embodiment of the invention, power information includes power demand and consumption habit；Obtain module
It include: time determination unit, for determining the time point for obtaining power information according to weather information；Acquiring unit, for when
Between point obtain electricity consumption data of the regional power grid after time point in preset time；Power information determination unit, for according to
Electric data determine the power demand and consumption habit of each load.
In presently preferred embodiment, scheduler module includes: predicting unit, for being practised according to electricity consumption
It is used, the electricity peak period of estimation range power grid；Pre- memory cell is used for before electricity peak period arrival, according to electricity consumption need
Ask control energy storage device that enough electric energy are stored in advance.
Optionally, scheduler module includes: priority determining unit, for determining that the electricity consumption of each load is excellent according to consumption habit
First grade；Power supply unit is used in electricity peak period be each load supplying according to electricity consumption priority.
About the device in above-described embodiment, wherein each unit, module execute the concrete mode of operation related
It is described in detail in the embodiment of this method, no detailed explanation will be given here.
Embodiment 3
The Regional Energy managing device provided in 2 based on the above embodiment, also provides in the preferred embodiment of the invention 3
A kind of regional power grid, specifically, Fig. 4 shows a kind of optional structural block diagram of the power grid, as shown in Figure 4, comprising:
Total ammeter, battery group, photovoltaic module, communal facility, user equipment.Regional power grid is converted by two-way AC/DC
Device is interacted with utility grid.Total ammeter is two-way ammeter, the electricity and grid-connected electricity that record area power grid uses；Battery
Group, photovoltaic module, communal facility, user equipment are connected to total ammeter.Direct current supply is used in region, is passed through between each user
The isolation of DC/DC converter, realize region DC grid and utility grid, zone user and DC grid and user and user it
Between real-time, interactive；Total ammeter and electric supply meter double measure mode are used in region, calculate user power utilization expense, battery group
It is charged at electricity price the lowest point by two-way AC/DC converter, reduces region electric cost expenditure.
Further, regional power grid is powered using high voltage direct current；Battery group is connected to by two-way DC/DC converter
The high voltage DC busses of regional power grid；Photovoltaic module is connected to the high voltage DC busses of regional power grid by DC/DC converter；
Communal facility is connected to the high voltage DC busses of regional power grid by DC/DC converter；User equipment passes through DC/DC converter
It is connected to the high voltage DC busses of regional power grid.Wherein, mesolow direct current supply is used inside user equipment；User equipment also wraps
Electric supply meter is included, for recording use electricity and the generated energy of user.Direct current supply is used in region, region public electric wire net uses
High voltage direct current power supply, the domestic electric network of each resident use mesolow direct current supply, and public by DC/DC converter access area
Power grid, public power consumption facility improve region electrical safety by DC/DC converter access area public electric wire net.
Access area DC grid after alternating current is converted by AC/DC is isolated between each user by DC/DC converter, control
System processed controls each customer power supply connecting and disconnecting of the circuit by relay, realizes region DC grid and utility grid, user and region
Interaction between DC grid and user and user.
In the above-described embodiment, in order to solve the problems, such as that Regional Energy manages unreasonable in the prior art, passes through acquisition
The power information respectively loaded in regional power grid carries out the electric energy in regional power grid according to power information and dispatches, to effectively solve
Regional Energy manages unreasonable problem, optimizes the electric energy scheduling in regional power grid.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
The common knowledge in the art that person's adaptive change follows general principle of the invention and do not invent including the present invention
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.
Claims (22)
1. a kind of Regional Energy management method characterized by comprising
Obtain the power information respectively loaded in regional power grid；Wherein, the regional power grid accesses each load in a manner of direct current supply；
The scheduling of the electric energy in the regional power grid is carried out according to the power information.
2. the method according to claim 1, wherein the power information includes power demand and consumption habit；
The power information respectively loaded in the acquisition regional power grid, comprising:
The time point for obtaining the power information is determined according to weather information；
Electricity consumption data of the regional power grid after the time point in preset time is obtained at the time point；
The power demand respectively loaded and consumption habit are determined according to the electricity consumption data.
3. according to the method described in claim 2, it is characterized in that, described determined according to weather information obtains the power information
Time point, comprising:
Obtain the location information of the regional power grid；
Inquire the corresponding weather information of the location information of meteorological department's publication；
The initial time that each season is determined according to the weather information, as the time point.
4. according to the method described in claim 2, it is characterized in that, described carry out the regional power grid according to the power information
Interior electric energy scheduling, comprising:
According to the consumption habit, the electricity peak period of the regional power grid is predicted；
Before electricity peak period arrival, energy storage device is controlled according to the power demand, enough electricity are stored in advance
Energy.
5. according to the method described in claim 4, it is characterized in that, described preparatory according to power demand control energy storage device
Store enough electric energy, comprising:
Detect the existing electricity of the energy storage device；
The electricity for needing to store is determined according to the existing electricity and the power demand, is controlled the energy storage device and is carried out in advance
Storage.
6. according to the method described in claim 4, it is characterized in that, described preparatory according to power demand control energy storage device
Store enough electric energy, comprising:
Detect the existing electricity of the energy storage device；
Predict the output power of generation of electricity by new energy device；
The electricity for needing to store is determined according to the existing electricity, the output power and the power demand, controls the storage
Energy device is stored in advance.
7. according to the method described in claim 6, it is characterized in that, the output power of the prediction generation of electricity by new energy device, packet
It includes:
Inquire the real-time weather information of meteorological department's publication；And/or detection real-time weather information；
The output power of the generation of electricity by new energy device is predicted according to the real-time weather information.
8. method according to claim 5 or 6, which is characterized in that the control energy storage device is stored in advance,
Include:
Forecasted electricity market price fluctuation tendency；
Electricity price low ebb period is determined according to the Electricity price fluctuation trend, in the electricity price low ebb period, controls the energy storage device
It is stored in advance.
9. according to the method described in claim 8, it is characterized in that, the forecasted electricity market price fluctuation tendency, comprising:
Obtain the location information of the regional power grid；
Inquire the corresponding electricity price information of the location information and electric energy scheduling information of Utilities Electric Co.'s publication；
The Electricity price fluctuation trend is predicted according to the electricity price information and the electric energy scheduling information.
10. according to the method described in claim 4, it is characterized in that, the regional power grid further include: new energy equipment, it is described
New energy equipment is preferably the load supplying；
It is described that the scheduling of electric energy in the regional power grid is carried out according to the power information, further includes:
There are also when extra electric energy after the new energy equipment is the load supplying, the extra electric energy is incorporated to the area
Domain power grid, for regional power grid use.
11. according to the method described in claim 10, it is characterized in that, the extra electric energy is incorporated to the region electricity described
After net, further includes:
Record is incorporated to the extra electric energy of the regional power grid, for offsetting the electricity consumption of the load.
12. according to the method described in claim 4, it is characterized in that, described carry out the region electricity according to the power information
Electric energy scheduling in net, further includes:
The electricity consumption priority of each load is determined according to the consumption habit；
The electricity peak period according to the electricity consumption priority be each load supplying.
13. according to the method described in claim 9, it is characterized in that, the energy storage device is battery group；The new energy hair
Denso is set to photovoltaic module；The load at least includes: communal facility, user equipment.
14. a kind of Regional Energy managing device characterized by comprising
Module is obtained, for obtaining the power information respectively loaded in regional power grid；Wherein, the regional power grid is with direct current supply side
Formula accesses each load；
Scheduler module, for carrying out the scheduling of the electric energy in the regional power grid according to the power information.
15. device according to claim 14, which is characterized in that the power information includes that power demand and electricity consumption are practised
It is used；The acquisition module includes:
Time determination unit, for determining the time point for obtaining the power information according to weather information；
Acquiring unit, for obtaining electricity consumption of the regional power grid after the time point in preset time at the time point
Data；
Power information determination unit, for determining the power demand respectively loaded and consumption habit according to the electricity consumption data.
16. device according to claim 15, which is characterized in that the scheduler module includes:
Predicting unit, for predicting the electricity peak period of the regional power grid according to the consumption habit；
Pre- memory cell, for it is preparatory to control energy storage device according to the power demand before electricity peak period arrival
Store enough electric energy.
17. device according to claim 15, which is characterized in that the scheduler module includes:
Priority determining unit, for determining the electricity consumption priority of each load according to the consumption habit；
Power supply unit is used in the electricity peak period be each load supplying according to the electricity consumption priority.
18. a kind of regional power grid, including such as the described in any item Regional Energy managing devices of claim 14-17, wherein it is described
Regional power grid includes: total ammeter, battery group, photovoltaic module, communal facility, user equipment.
19. regional power grid according to claim 18, which is characterized in that
The regional power grid is interacted by two-way AC/DC converter with utility grid.
20. regional power grid according to claim 19, which is characterized in that
Total ammeter is two-way ammeter, records the electricity and grid-connected electricity that the regional power grid uses；
The battery group, the photovoltaic module, the communal facility, the user equipment are connected to total ammeter.
21. regional power grid according to claim 20, which is characterized in that the regional power grid is powered using high voltage direct current；
The battery group is connected to the high voltage DC busses of the regional power grid by two-way DC/DC converter；
The photovoltaic module is connected to the high voltage DC busses of the regional power grid by DC/DC converter；
The communal facility is connected to the high voltage DC busses of the regional power grid by DC/DC converter；
The user equipment is connected to the high voltage DC busses of the regional power grid by DC/DC converter.
22. regional power grid according to claim 21, which is characterized in that use mesolow direct current inside the user equipment
Power supply；
The user equipment further includes electric supply meter, for recording use electricity and the generated energy of the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810843952.8A CN109149548A (en) | 2018-07-27 | 2018-07-27 | Regional Energy management method, managing device and regional power grid |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810843952.8A CN109149548A (en) | 2018-07-27 | 2018-07-27 | Regional Energy management method, managing device and regional power grid |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109149548A true CN109149548A (en) | 2019-01-04 |
Family
ID=64798380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810843952.8A Pending CN109149548A (en) | 2018-07-27 | 2018-07-27 | Regional Energy management method, managing device and regional power grid |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109149548A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110401221A (en) * | 2019-07-29 | 2019-11-01 | 珠海格力电器股份有限公司 | Limit power method and system, server, energy management and photovoltaic energy storage system |
| CN114362238A (en) * | 2021-11-30 | 2022-04-15 | 合肥中南光电有限公司 | Photovoltaic control device, photovoltaic control system and method |
| CN115498673A (en) * | 2022-11-15 | 2022-12-20 | 深圳海润新能源科技有限公司 | Control method and device of energy storage device |
| CN116632839A (en) * | 2023-07-21 | 2023-08-22 | 国网浙江省电力有限公司宁波供电公司 | Park power management adjusting method and device based on carbon monitoring |
| 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 |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102208815A (en) * | 2010-03-31 | 2011-10-05 | 比亚迪股份有限公司 | Household multi-energy system and control method thereof |
| WO2013106923A1 (en) * | 2012-01-20 | 2013-07-25 | Energy Aware Technology Inc. | System and method of compiling and organizing power consumption data and converting such data into one or more user actionable formats |
| CN104319774A (en) * | 2014-11-05 | 2015-01-28 | 珠海格力电器股份有限公司 | Monitoring method and device for intelligent community |
| CN104932281A (en) * | 2015-06-08 | 2015-09-23 | 国家电网公司 | Household micro-power-grid energy-using system and realization method for intelligent electricity consumption interaction thereof |
| CN105552878A (en) * | 2015-12-24 | 2016-05-04 | 珠海格力电器股份有限公司 | DC microgrid structure |
| CN106228258A (en) * | 2016-07-11 | 2016-12-14 | 浙江工业大学 | A kind of meter and the home energy source LAN energy optimal control method of dsm |
| CN106786687A (en) * | 2017-02-24 | 2017-05-31 | 深圳市昊睿智控科技服务有限公司 | The method for parameter configuration and system of energy storage device |
| CN107301474A (en) * | 2017-06-19 | 2017-10-27 | 武汉大学 | A kind of electricity demand forecasting method based on deep learning for low-voltage customer |
-
2018
- 2018-07-27 CN CN201810843952.8A patent/CN109149548A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102208815A (en) * | 2010-03-31 | 2011-10-05 | 比亚迪股份有限公司 | Household multi-energy system and control method thereof |
| WO2013106923A1 (en) * | 2012-01-20 | 2013-07-25 | Energy Aware Technology Inc. | System and method of compiling and organizing power consumption data and converting such data into one or more user actionable formats |
| CN104319774A (en) * | 2014-11-05 | 2015-01-28 | 珠海格力电器股份有限公司 | Monitoring method and device for intelligent community |
| CN104932281A (en) * | 2015-06-08 | 2015-09-23 | 国家电网公司 | Household micro-power-grid energy-using system and realization method for intelligent electricity consumption interaction thereof |
| CN105552878A (en) * | 2015-12-24 | 2016-05-04 | 珠海格力电器股份有限公司 | DC microgrid structure |
| CN106228258A (en) * | 2016-07-11 | 2016-12-14 | 浙江工业大学 | A kind of meter and the home energy source LAN energy optimal control method of dsm |
| CN106786687A (en) * | 2017-02-24 | 2017-05-31 | 深圳市昊睿智控科技服务有限公司 | The method for parameter configuration and system of energy storage device |
| CN107301474A (en) * | 2017-06-19 | 2017-10-27 | 武汉大学 | A kind of electricity demand forecasting method based on deep learning for low-voltage customer |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110401221A (en) * | 2019-07-29 | 2019-11-01 | 珠海格力电器股份有限公司 | Limit power method and system, server, energy management and photovoltaic energy storage system |
| CN114362238A (en) * | 2021-11-30 | 2022-04-15 | 合肥中南光电有限公司 | Photovoltaic control device, photovoltaic control system and method |
| CN114362238B (en) * | 2021-11-30 | 2022-07-19 | 合肥中南光电有限公司 | Photovoltaic control system and method |
| CN115498673A (en) * | 2022-11-15 | 2022-12-20 | 深圳海润新能源科技有限公司 | Control method and device of energy storage device |
| CN115498673B (en) * | 2022-11-15 | 2023-03-07 | 深圳海润新能源科技有限公司 | Control method and device of energy storage device |
| US11764578B1 (en) | 2022-11-15 | 2023-09-19 | Shenzhen Hairun New Energy Technology Co., Ltd. | Control method for energy-storage apparatus, energy-storage apparatus, and storage medium |
| CN116632839A (en) * | 2023-07-21 | 2023-08-22 | 国网浙江省电力有限公司宁波供电公司 | Park power management adjusting method and device based on carbon monitoring |
| CN116632839B (en) * | 2023-07-21 | 2023-11-07 | 国网浙江省电力有限公司宁波供电公司 | Park power management adjusting method and device based on carbon monitoring |
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109149548A (en) | Regional Energy management method, managing device and regional power grid | |
| Kanakadhurga et al. | Demand side management in microgrid: A critical review of key issues and recent trends | |
| Burmester et al. | A review of nanogrid topologies and technologies | |
| CN106707778B (en) | Intelligent optimization management system for household comprehensive energy based on model predictive control | |
| KR102304039B1 (en) | Grid network gateway aggregation | |
| Tascikaraoglu et al. | A demand side management strategy based on forecasting of residential renewable sources: A smart home system in Turkey | |
| Xia et al. | Edge-based energy management for smart homes | |
| CN109478795A (en) | Method and apparatus for controlling the energy stream in hybrid power system | |
| US10243369B2 (en) | Power allocation system | |
| Chandra et al. | Energy management of smart homes with energy storage, rooftop PV and electric vehicle | |
| Mehdi et al. | New Smart Home's energy management system design and implementation for frugal smart cities | |
| CN104124704B (en) | The management process of distributed power source and micro-net main electrical network of access | |
| CN108306288A (en) | A kind of microgrid community distributed energy distribution method based on Demand Side Response | |
| CN109038678A (en) | Garden distributed energy intelligence managing and control system based on big data | |
| Rossi et al. | Real-time optimization of the battery banks lifetime in hybrid residential electrical systems | |
| CN106611992A (en) | Movable and remotely-controlled intelligent domestic energy storage system | |
| Mishra et al. | Assessing demand side flexibility with renewable energy resources | |
| Anzar et al. | Optimization of home energy management system in smart grid for effective demand side management | |
| CN105811393A (en) | Load curve-based direct-current microgrid energy management method | |
| KR20120000026A (en) | Network system | |
| Rashid et al. | An Improved Energy and Cost Minimization Scheme for Home Energy Management (HEM) in the Smart Grid Framework | |
| CN115995814A (en) | Public power resource allocation method based on big data | |
| CN105262144B (en) | A kind of distributed power source optimal dispatch control method of multigroup net form state | |
| Badugu et al. | Critical review on integration of electric vehicles into residential distribution system | |
| CN104485679B (en) | It is applicable to self-balancing control method and the system of the wind storage integration of distribution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190104 |