CN104167763B - Distributed energy management method - Google Patents
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- CN104167763B CN104167763B CN201410448914.4A CN201410448914A CN104167763B CN 104167763 B CN104167763 B CN 104167763B CN 201410448914 A CN201410448914 A CN 201410448914A CN 104167763 B CN104167763 B CN 104167763B
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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Abstract
The invention relates to a distributed energy management method and device. The distributed energy management device is composed of a ground layer, an intermediate layer and an energy management layer. The ground layer comprises a distributed power controller, an energy storage controller, a load controller, an invertor, a converter and a breaker. The intermediate layer comprises a data communication module, an operation control module, an energy storage management module and a load management module. The energy management layer comprises a data communication and monitoring module, an economic dispatch and optimal operation module, a load prediction module and a power generation prediction module. The ground layer and the intermediate layer coordinate and control short-term power in a local micro-grid system to be stable; the energy management layer coordinates and controls long-term power in the micro-grid system where the energy management layer belongs to be stable, and economization of micro-grid operation is achieved; meanwhile, the distributed energy management device is clear in structure, functions are specific, and system upgrade and function extension are facilitated.
Description
Technical field
The present invention relates to a kind of energy management method, more particularly to a kind of distributed energy management solutions method.
Background technology
Distributed energy management solutions system is the control core of distributed energy, and itself capacity of distributed micro-capacitance sensor is less, plus
The change of upper photovoltaic, wind-powered electricity generation and load, distributed energy itself has fluctuation and intermittence, so needing energy storage device
Solve.Distributed energy is typically connected by power electronic equipment interface, and power electronic equipment has reaction speed, defeated faster
Go out that impedance is little, the low feature of overload capacity, so increased the difficulty of microgrid control, the variation of microgrid voltage and frequency is larger,
Control system needs to plan as a whole each distributed power source, and distributed energy EMS control method mainly includes power electronics
Plug and play, equity control, power management system and master ＆ slave control.
European Union distributed energy Control system architecture buying central controller MGCC, on the spot micro source controller MC, on the spot
Load governor LC.MC controllers control power operating mode on the spot, and on the spot load governor LC is allocated to load on the spot
And control, central controller MGCC coordinates and controls to the MC and LC of distributed micro-grid.
There is microgrid voltage in existing energy management system and the variation of frequency is larger, and stability is not strong, operation of power networks economy
Property it is not high, the opening of system and autgmentability are not enough, structure is unintelligible, the problems such as system upgrade and Function Extension inconvenience.
The content of the invention
In order to solve the deficiencies in the prior art, the invention provides a kind of distributed energy management solutions device, the energy pipe
Reason device is the control structure of upper strata centralized management, by constituting with regard to stratum, intermediate layer and energy management layer；
It is described that distributed power controller, energy storage controller, load governor, inverter, current transformer, disconnected is included with regard to stratum
Road device；
The intermediate layer includes data communication module, operation control module, energy storage management module, load management module；
The energy management layer includes data communication with monitoring module, economic load dispatching and optimization operation module, load prediction
Module, generating prediction module；
It is described that communicating data information is carried out with regard to each controller of stratum and micro-capacitance sensor intermediate layer, send to micro-capacitance sensor intermediate layer
Equipment operation information, and receive the scheduling and management instruction in intermediate layer；
The energy management layer carries out data message communication with intermediate layer, gathers the micro-capacitance sensor real time data that intermediate layer uploads
Information is simultaneously analyzed；
Beneficial effect is to realize the voltage of micro-capacitance sensor, frequency, power to stablize, and operation of power networks operating mode optimized
Most economicalization.
Also there is in addition clear in structure, be easy to increase the beneficial effect that controller extends many micro-grid systems in micro-capacitance sensor.
Further, the distributed power controller is based on the distributed energy controller of power electronics interface, institute
State load governor to be arranged on each controllable burden；
Further, the intermediate layer by bus or optical fiber with regard to stratum and can management level carry out data message and interact.
One kind distribution based on the described distributed energy management solutions device being divided into regard to stratum, intermediate layer and energy management layer
Formula energy management method, comprises the following steps：
Real-time running data is gathered with regard to each controller in stratum；According to local information various micro batteries are controlled on the spot：
According to power load real-time regulation micro battery generated energy；
According to heat and with refrigeration duty real-time regulation micro battery capacity；
According to load condition and energy storage device storage state situation, regulating cell management system, by battery management system
Adjust charging, the discharge time of energy storage device；
According to load condition reasonable distribution photovoltaic DC-to-AC converter and the running status of energy storage device；
Intermediate layer data communication module receives the equipment operating data sent with regard to each Local Controller in stratum；By analyzing system
Determine control strategy, each controller is managed and is dispatched；
Intermediate layer operation control module detection bulk power grid failure and recovery situation, when detecting bulk power grid failure, instruct micro-
Electrical network disconnects with bulk power grid, and operation control module instructs cutting-in control pattern switching to simultaneously/off-network control model, micro-capacitance sensor entrance
Isolated power grid pattern；After detecting bulk power grid recovery, operation control module instruction is switched to off-grid grid-connected pattern, and micro-capacitance sensor is entered
It is incorporated into the power networks；
Energy storage management module in intermediate layer detects to the charging and discharging state of battery, battery is entered according to system requirements
Row management of charging and discharging, and the working method to energy storage device and export active, reactive power be controlled；
Intermediate layer load management module to the load in micro-capacitance sensor according to significance level be divided into sensitive load, general load,
Interruptible load, according to the payload for detecting the process of micro battery is distributed, and keeps the balance between micro battery and load,
During micro-capacitance sensor isolated power grid, interruptible load or general load are cut off, it is ensured that the normal power supply of sensitive load；
The micro-capacitance sensor real time data information that intermediate layer uploads to energy management layer；
Energy management layer receive upload data message, and by the data for receiving carry out picture show, alarming processing, curve
Display, report printing, topology coloring, history data store, rights management；
Energy management layer economic load dispatching and optimization operation module to the power of each distributed power source and energy storage device in net with
And the Power Exchange between bulk power grid carries out integrated dispatch, the financial cost for carrying out micro-capacitance sensor operation is minimized；
Energy management layer load prediction module to include with it is cold, with heat, power load be predicted, collection load become for a long time
Change information, by parser subsequent time information on load is predicted；
Energy management layer generating prediction module is entered to solar electrical energy generation, the short-term of wind-power generation unit and long-term generating capacity
Capable prediction of exerting oneself.
Its advantage is to realize the voltage of micro-capacitance sensor, frequency, power to stablize, and causes the operation of power networks operating mode optimum
Change most economicalization.
Also there is in addition clear in structure, be easy to increase the beneficial effect that controller extends many micro-grid systems in micro-capacitance sensor.
Further, it is described that equipment operation information, including power output, direct current are sent to intermediate layer with regard to each controller in stratum
Busbar voltage, photovoltaic array, the state of battery；
Further, the intermediate layer provides complete control of the micro-capacitance sensor under grid-connected, isolated network both of which switching condition
Scheme processed；It is incorporated into the power networks under mode, distributed energy management solutions device control micro battery adopts the PQ methods of operation, negative according to electricity consumption
Lotus, with thermic load, use refrigeration duty, adjust micro battery exhaust gas volumn, power output, adjust the photovoltaic DC-to-AC converter method of operation, by electricity
Pond management system adjusts energy storage device storage state, and the voltage according to bulk power grid, frequency, electric current and input power adjust micro- electricity
The running status of net intermediate layer equipment；Under isolated power grid mode, distributed energy management solutions device controls a stable micro- electricity
Source adopts VF, and remaining micro battery adopts PQ Controlling operation methods.
Further, the energy management layer economic load dispatching and optimization operation module are to each distributed power source and energy storage in net
When the power of device and the Power Exchange between bulk power grid carry out integrated dispatch, analysis distribution formula power supply provides cool and thermal power
Energy, effectively utilizes regenerative resource, environmental protection, the fuel cost factor that reduces, and analyze between micro-capacitance sensor and bulk power grid
Power trade, it is each distributed with reference to purchase sale of electricity valency in the case where micro-capacitance sensor security, reliability and power supply quality requirement condition is met
Power technology performance, Environmental Factors；During electrical network electricity price electricity price at a low ebb, distributed energy management solutions device is to meet 80% basic
In the case of cooling and heating load, remaining micro battery is disconnected；In peak times of power consumption, all micro battery 90%-100% declared working condition operations；
When thermal load demands are larger, the generated energy of micro battery is reduced.
Further, the energy management layer generating prediction module to solar electrical energy generation, the short-term of wind-power generation unit and
When long-term generating capacity is predicted, the change of type, primary energy according to distributed power source, generating expense, environmental factor,
Time between overhauls(TBO) situation prediction distribution formula power supply is exerted oneself.
Further, the short term power coordinated inside the local micro-grid system of control with regard to stratum and intermediate layer is stablized,
Energy management layer is coordinated the long term power of micro-grid system belonging to control and is stablized.
The relatively conventional energy management apparatus of the present invention and method are a brand-new technical schemes.The present invention is by collection
The data uploaded with each controller in analysis micro-capacitance sensor, and each controller is controlled, while being predicted to load, generating
And management, maintain micro-capacitance sensor isolated network and it is grid-connected in the case of voltage and frequency stablize.Distributed energy management solutions device root
According to the type of distributed power source, the change of primary energy, generating expense, environmental factor, time between overhauls(TBO) situation prediction distribution formula electricity
Source is exerted oneself, the Economic Operation in the case of different energy sources price, continues to optimize the method for operation, obtains optimum most economical operation
Operating mode.
Because the present invention adopts the central controlled hierarchical management structure in upper strata so that present configuration is clear, each layer function
Clearly, the new micro-grid system of the burning natural gas distributed power apparatus new to the increase of micro-capacitance sensor inside and increase is all very convenient, system liter
Level and function expansibility are very strong.
Description of the drawings
Fig. 1 is a kind of distributed energy management solutions apparatus structure schematic diagram of the invention
Fig. 2 is interlayer structure schematic diagram
Fig. 3 is energy management Rotating fields schematic diagram
Label declaration：
11- data communication and monitoring module 12- economic load dispatchings and optimization operation module
13- load prediction module 14- generating prediction modules
21- data communication module 22- operation control modules
23- energy storage management module 24- load management modules
Specific embodiment
Below in conjunction with accompanying drawing, the present invention is illustrated.
Fig. 1 shows the structural representation of the present invention, and the present invention is a kind of distribution of the control structure of upper strata centralized management
Formula energy management apparatus, by constituting with regard to stratum 3, intermediate layer 2, energy management layer 1.
With regard to stratum 3：Also referred to as micro-capacitance sensor Local Controller layer, positioned at the lowermost layer of microgrid energy management system framework, its
In include distributed power controller, energy storage controller, load governor, inverter, unsteady flow current transformer, breaker, can be with
Comprising other controllers, mainly according to local information various micro batteries are controlled on the spot.Wherein distributed power controller
It is the distributed energy controller based on power electronics interface, completes that distributed power source is active, reactive power optimized control.
Suitable charge and discharge control strategy is formulated in operation of the energy storage controller to different type, different medium energy-storage battery.Spatial load forecasting
Device is arranged on each controllable burden, and according to the instruction in intermediate layer 2 load controlling function is performed.
All communicating data information is carried out with intermediate layer 2 with regard to each controller in stratum, to intermediate layer 2 equipment operation information is sent,
The such as state of power output, DC bus-bar voltage, photovoltaic array and battery, and receive micro-capacitance sensor intermediate layer 2 scheduling and
Management instruction.
Micro-capacitance sensor such as adjusts air-intake of combustion engine, rotating speed, frequency according to power load real-time regulation micro battery generated energy
Deng；According to heat and with refrigeration duty real-time regulation micro battery capacity, such as adjust air-intake of combustion engine, adjust gas fume valve flow
Deng；According to load condition and energy storage device storage state situation, regulating cell management system, energy storage device is adjusted by BMS and is existed
When charge, when discharge；Micro-capacitance sensor according to load condition reasonable distribution photovoltaic DC-to-AC converter and the running status of energy storage device,
Energy storage device can be charged using photovoltaic generation during such as load very little.
Intermediate layer 2：Intermediate layer 2 i.e. Intermediate Control Layer, including data communication module 21, operation control module 22, energy-storage tube
Reason module 23, load management module 24；By the real-time running data to all distributed power sources, energy storage, load in micro-capacitance sensor
Collection, formulate control strategy, maintain micro-capacitance sensor in voltage, frequency it is constant, to meet load electric energy quality requirement.Its main work(
Data communication, operation control, energy storage management, load management can be included.Intermediate Control Layer provides micro-capacitance sensor in grid-connected, two kinds of isolated network
Complete control program under mode changeover condition.
Under the mode of being incorporated into the power networks, distributed energy management solutions device control micro battery adopt the PQ methods of operation, and according to
Electric load, with thermic load, use refrigeration duty, adjust micro battery exhaust gas volumn, power output, adjust the photovoltaic DC-to-AC converter method of operation, logical
Cross BMS and adjust energy storage device storage state, and the voltage according to electrical network, frequency, electric current and input power are adjusted in the middle of micro-capacitance sensor
The running status of 2 equipment of layer.Under isolated power grid mode, distributed energy management solutions device controls a stable micro battery and adopts
VF, remaining micro battery adopts PQ Controlling operation methods.
Data communication module 21 by bus or optical fiber solutions and carries out data message friendship with regard to stratum 3 and energy management layer 1
Mutually.
Operation control module 22 realize include be incorporated into the power networks control, isolated power grid control and/off-network pattern switching and from/
Grid-connect mode switches.When bulk power grid failure is detected, micro-capacitance sensor and bulk power grid disconnect, and from cutting-in control be switched to simultaneously/from
Into isolated power grid control after network control system；After bulk power grid recovers, micro-capacitance sensor can pass through off-grid grid-connected pattern switching from isolated power grid
Control of being incorporated into the power networks is entered afterwards.When running under island mode, voltage and stablizing for frequency in micro-capacitance sensor is maintained to be the passes for controlling
Key.
Energy storage management module 23 realizes that battery charges and voltage, power management, can detect the charging and discharging state of electric power storage, and
And management of charging and discharging is carried out to it according to system requirements, and the working method of energy storage device can be controlled, and export active, idle
Power, participates in with/without power adjusting.
Load management module 24 realize by the load in micro-capacitance sensor according to significance level be divided into sensitive load, general load,
Interruptible load, according to the payload for detecting the process of micro battery is distributed, and keeps the balance between micro battery and load,
During micro-capacitance sensor isolated power grid, interruptible load or general load are cut off, it is ensured that the normal power supply of sensitive load.
Energy management layer 1：Energy management layer 1 includes data communication with monitoring module 11, economic load dispatching and optimization operation mould
Block 12, load prediction module 13, generating prediction module 14, the micro-capacitance sensor real time data that the collection of energy management layer 1 intermediate layer 2 uploads
Information, distributed electrical source information, information on load etc., realize scheduling, management and the control of micro-capacitance sensor, realize hot and cold, electric various energy
The complex optimum in source.Energy management layer 1 mainly includes data communication and monitoring module, economic load dispatching and optimization operation function, bears
Lotus prediction, power prediction function.
Data communication completes energy management layer 1 and communicates with the data message in intermediate layer 2 with monitoring module 11, by intermediate layer 2
The data of upload carry out that picture shows, alarming processing, curve show, comprising SCADA work(in traditional energy management system
Can, such as report printing, topology coloring, history data store, rights management.
Economic load dispatching and optimization operation module 12, economic load dispatching and optimization operation are realized when micro-grid connection is run, point
Analysis distributed power source provides cold and hot electric energy, effectively utilizes regenerative resource, environmental protection, reduction fuel cost etc., also analyzes micro-
Power trade between electrical network and bulk power grid.In the case where micro-capacitance sensor security, reliability and power supply quality requirement condition is met, analysis
The power of factor, each distributed power source of economic load dispatching and the energy storage devices such as purchase sale of electricity valency, each Distributed Power Generation performance, environmental protection
And the Power Exchange between bulk power grid, carry out the financial cost minimum of micro-capacitance sensor operation.
When electrical network electricity price electricity price at a low ebb, economic load dispatching and optimization operation module 12 are substantially cold and hot negative in satisfaction 80%
In the case of lotus, remaining micro battery is disconnected, reduce system operation cost.In peak times of power consumption, it is ensured that all micro battery 90%-
100% declared working condition is run, and peak load shifting effect is played to electrical network.When thermal load demands are larger, the generating of micro battery is reduced
Amount.
Load prediction module 13 realizes hot and cold, electric load prediction, load change in long term information is gathered, by prediction algorithm
To predict subsequent time information on load.
Generating prediction module 14 predicts solar electrical energy generation, the short-term of wind-power generation unit and long-term generating capacity, according to point
The prediction distribution formula power supply such as the type of cloth power supply, the change of primary energy, generating expense, environmental factor, time between overhauls(TBO) is exerted oneself.
Generating prediction module 14 is predicted to solar electrical energy generation, the short-term of wind-power generation unit and long-term generating capacity
When, the change of type, primary energy according to distributed power source, generating expense, environmental factor, time between overhauls(TBO) situation prediction distribution
Formula power supply is exerted oneself, the Economic Operation in the case of different energy sources price, Operation Mode Optimization, obtains optimum most economical operation
Operating mode.
Operating statistic analysing content：
| Gathered data (/ year) | Calculate price | Result of calculation |
| Average annual investment | 1 year | Year equipment cost |
| Total electricity volume | Rate for incorporation into the power network | Mesh portions income in generating |
| Heating load | Steam price | Heat supply is taken in |
| Semen donors | Cool capacity price | Cooling is taken in |
| Generating gas consumption | Primary energy price | Cost of electricity-generating |
| Heat supply gas consumption | Primary energy and steam price | Heat cost |
| Cooling gas consumption | Primary energy and cool capacity price | Cooling cost |
| Maintenance and maintenance period | Repair and maintenance cost | Year maintenance expense |
| Photovoltaic power generation quantity | Invest every year on average | Cost of electricity-generating |
| Wind power generation capacity | Invest every year on average | Cost of electricity-generating |
Calculated according to operating statistic data, calculate system energy supply cost, income, generated energy, heating load, semen donors, and
Real-time change is carried out according to primary energy price, electricity price, steam price and cold price.
Claims (8)
1. a kind of distributed energy management solutions method, is characterized in that, be applied to distributed energy management solutions device, the distributed energy
Managing device is the control structure of upper strata centralized management, by constituting with regard to stratum (3), intermediate layer (2) and energy management layer (1)；
It is described with regard to stratum (3) including distributed power controller, energy storage controller, load governor, inverter, current transformer, disconnected
Road device；
The intermediate layer (2) includes data communication module (21), operation control module (22), energy storage management module (23), load
Management module (24)；
The energy management layer (1) is run module (12), is born including data communication and monitoring module (11), economic load dispatching and optimization
Lotus prediction module (13), generating prediction module (14)；
It is described that communicating data information is carried out with regard to stratum (3) each controller and intermediate layer (2), send equipment fortune to intermediate layer (2)
Row information, and receive the scheduling and management instruction in intermediate layer (2)；
The energy management layer (1) carries out data message communication with intermediate layer (2), gathers the micro-capacitance sensor reality that intermediate layer (2) upload
When data message and be analyzed；
The distributed energy management solutions method is comprised the following steps：
With regard to stratum (3) each controller collection real-time running data；According to local information various distributed power sources are carried out on the spot
Control；
According to power load real-time regulation distributed power source generated energy；
According to thermic load and refrigeration duty real-time regulation distributed power source capacity；
According to load condition and energy storage device storage state situation, regulating cell management system, adjusted by battery management system
The charging of energy storage device, discharge time；
According to load condition reasonable distribution photovoltaic DC-to-AC converter and the running status of energy storage device；
Intermediate layer (2) data communication module (21) receives the equipment operating data sent with regard to stratum (3) each controller；By analysis
Control strategy is formulated, each controller is managed and is dispatched；
Intermediate layer (2) operation control module (22) detects bulk power grid failure and recovery situation, when detecting bulk power grid failure, instruction
Micro-capacitance sensor disconnects with bulk power grid, and operation control module (22) instructs cutting-in control pattern switching to simultaneously/off-network control model, micro- electricity
Net enters isolated power grid pattern；After detecting bulk power grid recovery, operation control module (22) instruction is switched to off-grid grid-connected pattern,
Micro-capacitance sensor is entered and is incorporated into the power networks；
Intermediate layer (2) energy storage management module (23) is detected to the charging and discharging state of battery, according to system requirements to electric power storage
Pond carries out management of charging and discharging, and the working method to energy storage device and the active, reactive power of output are controlled；
Intermediate layer (2) load management module (24) is divided into sensitive load, typically bears to the load in micro-capacitance sensor according to significance level
Lotus, interruptible load, according to the payload that detects the process of distributed power source is distributed, keep distributed power source and load it
Between balance, in micro-capacitance sensor isolated power grid, excision interruptible load or general load, it is ensured that the normal power supply of sensitive load；
Intermediate layer (2) to energy management layer (1) uploads micro-capacitance sensor real time data information；
(1) data communication of energy management layer is received with monitoring module (11) and uploads data message, and the data for receiving are carried out
Picture shows, alarming processing, curve show, report printing, topology coloring, history data store, rights management；
Energy management layer (1) economic load dispatching and optimization operation module (12) are to each distributed power source in micro-capacitance sensor and energy storage device
Power and the Power Exchange between bulk power grid carry out integrated dispatch, and the financial cost for carrying out micro-capacitance sensor operation is minimized；
Energy management layer (1) load prediction module (13) including refrigeration duty, thermic load, power load to being predicted, and collection is negative
Lotus change in long term information, by parser subsequent time information on load is predicted；
Energy management layer (1) generating prediction module (14) is to solar electrical energy generation, the short-term of wind-power generation unit and the energy that generates electricity for a long time
Power carries out prediction of exerting oneself.
2. a kind of distributed energy management solutions method according to claim 1, is characterized in that, described respectively to control with regard to stratum (3)
Device to intermediate layer (2) send equipment operation information, including the shape of power output, DC bus-bar voltage, photovoltaic array, battery
State.
3. a kind of distributed energy management solutions method according to claim 1, is characterized in that, the intermediate layer (2) provides micro-
Complete control program of the electrical network under grid-connected, isolated network both of which switching condition；It is incorporated into the power networks under mode, distributed energy pipe
Reason device control distributed power source adopts the PQ methods of operation, according to power load, thermic load, refrigeration duty, adjusts distributed power source
Exhaust gas volumn, power output, adjust the photovoltaic DC-to-AC converter method of operation, by battery management system adjust energy storage device storage state,
And the voltage according to bulk power grid, frequency, electric current and input power adjust the running status of micro-capacitance sensor equipment；In isolated power grid mode
Under, distributed energy management solutions device controls a stable distributed power source and adopts VF, and remaining distributed power source is using PQ controls
The method of operation.
4. a kind of distributed energy management solutions method according to claim 1, is characterized in that, energy management layer (1) Jing
Ji scheduling and optimize operation module (12) to the power of each distributed power source in micro-capacitance sensor and energy storage device and with bulk power grid it
Between Power Exchange when carrying out integrated dispatch, analysis distribution formula power supply provides cold and hot electric energy, effectively utilizes regenerative resource, protection
Environment, reduction fuel cost and the power trade situation between micro-capacitance sensor and bulk power grid；During electrical network electricity price electricity price at a low ebb,
Distributed energy management solutions device disconnects remaining distributed power source in the case of 80% basic refrigeration duty, thermic load is met；In electricity consumption
Peak period, all distributed power source 90%-100% declared working condition operations；When thermal load demands are larger, distributed power source is reduced
Generated energy.
5. a kind of distributed energy management solutions method according to claim 4, is characterized in that, the energy management layer (1) is sent out
When electric prediction module (14) is predicted to solar electrical energy generation, the short-term of wind-power generation unit and long-term generating capacity, according to point
The type of cloth power supply, the change of primary energy, generating expense, environmental factor, time between overhauls(TBO) situation prediction distribution formula power supply go out
Power.
6. a kind of distributed energy management solutions method according to any one of claim 1-5, described with regard to stratum (3) and intermediate layer
(2) coordinate the short term power inside the local micro-grid system of control to stablize, energy management layer (1) coordinates micro-capacitance sensor system belonging to control
The long term power of system is stablized.
7. a kind of distributed energy management solutions method according to claim 6, it is characterised in that the distributed power source control
Device is that, based on the distributed energy controller of power electronics interface, the load governor is arranged on each controllable burden.
8. a kind of distributed energy management solutions method according to claim 6, it is characterised in that the intermediate layer (2) passes through
Bus or optical fiber with regard to stratum (3) and can management level carry out data message and interact.
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Families Citing this family (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104979849A (en) * | 2015-06-30 | 2015-10-14 | 华南理工大学 | Grid-connected operation control method suitable for user-side micro-grid |
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| JP6992041B2 (en) * | 2019-12-27 | 2022-01-13 | 京セラ株式会社 | Power management system and power management method |
| CN111711214A (en) * | 2020-07-22 | 2020-09-25 | 兰州兰石恩力微电网有限公司 | Micro-grid dispatching monitoring system |
| CN112968457B (en) * | 2021-03-11 | 2023-09-22 | 黄俊星 | Pyramid type large-scale battery energy storage architecture system and energy management control method thereof |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4895735B2 (en) * | 2006-09-08 | 2012-03-14 | 清水建設株式会社 | How to build a microgrid system |
| CN102832706B (en) * | 2012-07-18 | 2015-07-22 | 中国电力科学研究院 | Distributed power stratified coordination control system of microgrid and method |
| CN103872775B (en) * | 2014-03-13 | 2016-01-27 | 中国能源建设集团广东省电力设计研究院有限公司 | A kind of intelligent micro-grid supervisory control system and method for supervising |
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