CN103576549B - Energy-ubiquitous network control system, self-organizing system and method - Google Patents
Energy-ubiquitous network control system, self-organizing system and method Download PDFInfo
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Abstract
The invention discloses an energy-ubiquitous network control system, self-organizing system and method. An energy-ubiquitous network comprises at least one node connected together. The at least one node comprises at least one of an energy efficiency controller, an energy production link, an energy storage link, an energy application link and an energy regeneration link. The control system comprises an autonomic nervous system, a peripheral nervous system and a central nervous system. The autonomic nervous system is used for carrying out autonomy control of the nodes. The peripheral nervous system is used for carrying out logic control according to default rules. The central nervous system generates decision information according to autonomic nervous system information and forms an experience knowledge base, and an evolution function is achieved. The autonomic nervous system enables the nodes to be capable of carrying out energy converting in the nodes for operation, and the peripheral nervous system and the central nervous system enable two or more nodes in different ranges to be capable of carrying out energy transferring between the nodes for operation.
Description
Technical field
The present invention relates to the control system of pan-energy network, self-organizing system and method.
Background technology
The principal mode of energy grid is power network, wherein by existing power network is combined with the network communications technology, real
Show the intellectuality of electrical energy production, transmission and utilization.
Chinese patent application No.201010173519.1 (denomination of invention in sweet middle school et al.：" realize energy source optimization profit
Pan-energy network and the method that energy transaction and service are provided ") in disclose one kind and realize multiple-energy-source (polytype energy
And/or the energy from multiple geographical position) coupling using, realize the management of distributed energy and decision-making and be directed to energy
Source using overall process carry out efficiency optimization pan-energy network scheme.
Pan-energy network includes the node linking together with the virtual pipe internet framework transmitting pan-energy flow, node it
Between transmitted in both directions pan-energy flow.Node includes system energy efficiency controller, and connects to other nodes of system energy efficiency controller, energy
At least one of source process units, energy storage device, energy source use device and energy source regenerating unit.Wherein, system energy efficiency
Controller controls other nodes, production of energy device, energy storage device, energy source use device and energy source regenerating unit at least
The input of the pan-energy flow of and output, pan-energy flow includes energy stream, material stream, flow of information intercouple collaborative and patrolling of being formed
Collect intelligence flow.
Pan-energy network is the intelligent pan-energy network network system that an information, energy and material are combined together by collaborative coupling.
Pan-energy network technology is the intelligent coordinated technology that Information Network, energy grid and material net are coupled into consolidated network, maximum body
Show the networking relation of machine machine mutual inductance, human-computer interaction and everybody mutual intelligence.This technology passes through efficiency matching system, intelligent interaction control
Center processed achieves the seamless connection of energy space, information space and material space with intelligent cloud service platform, it is achieved thereby that
The senior utilization of energy.
The logical structure of pan-energy network can be set up using osi model.Network service work is divided into physics by osi model
Layer, data link layer, Internet, transport layer, session layer, expression layer, application layer.
Physical layer is made stipulations to the physical parameter (as communication media, transfer rate etc.) of communication；Data link layer is responsible for
Data is cut into data frame, and data frame is sent on transmission medium；Internet is responsible for packing and the delivering path of data
Setting, when several LAN Monitoring System, the selection in path is carried out by it；Transport layer provides reliable and stable between two systems
Data transfer, and it is responsible for that data traffic controls and Error Control is it is ensured that transmitting end to end；Session layer is that user enters to network
The interface of network, is responsible for the session address of network-oriented being transformed into the physical address of corresponding work station；Expression layer provides data
The interpreter coding of form；Application layer provides user interface and the Distributed database service of OSI communication protocol.
According to the feature of pan-energy network, the logical structure of pan-energy network includes mutual inductance, interaction, mutual intelligence Three-tider architecture.
In mutual inductance layer, day-to-day operation is controlled with pan-energy network balance optimizing by smart energy network system data exchange；In interactive layer, comprehensive
After closing optimisation strategy injection, the situation that on-site supervision personnel are directed to beyond routine work span of control carries out basis adjustment, meets
Service exception changes demand；In mutual intelligence layer, carry out decision-making for disaster, accident, policy etc., determine resource dispatching strategy, and with
Corresponding prediction scheme is coordinated, and forms synthesizing evolutionary.
However, remaining problems with pan-energy network：In mutual inductance layer although sensor can be used, but pass
Sense network structure, sensing key message and sensor mechanism are inefficient；In interactive layer, there is a problem of realizing self-organizing；
In mutual intelligence layer, there is a problem of cannot be by swarm intelligence optimum synergistic.
In pan-energy network, expectation provides the Self-organization Mechanism of four links and the optimization making the operation of Three-tider architecture efficient organic
Control mechanism.
Content of the invention
It is an object of the invention to provide the optimal control method of pan-energy network and Self-organization Mechanism.
According to an aspect of the present invention, provide a kind of control system of pan-energy network, this pan-energy network includes linking together
At least one node, at least one node described includes efficiency controller, energy production link, energy storage link, energy should
With link and energy regeneration link at least one, described control system includes：Vegetative nervous system, for executing mutual inductance layer
The autonomy of node controls；Peripheral nervous system, for executing the logic control according to default rule for the interactive layer；And maincenter god
Through system, decision information is produced according to vegetative nervous system information, and form Experiential Knowledge Database, by the collection intelligence of mutual intelligence layer
Evolution engine implementation evolution function, wherein, vegetative nervous system allows each node to carry out energy in intra-node to turn
Change and run, peripheral nervous system and central nervous system allow two or more nodes in different range in node
Between carry out energy transfer and run.
According to a further aspect in the invention, provide a kind of self-organizing system of pan-energy network, this pan-energy network includes being connected to one
At least one node rising, at least one node described includes efficiency controller, energy production link, energy storage link, energy
At least one of amount application link and energy regeneration link, described self-organizing system includes：Above-mentioned control system；And general energy
Preparing pool, the Buffer Pool as positive energy exchange between different nodes, wherein, efficiency controller is used for the energy within control node
Amount conversion.
According to another aspect of the invention, provide a kind of self-organizing method of pan-energy network, this pan-energy network includes being connected to one
At least one node rising, at least one node described includes efficiency controller, energy production link, energy storage link, energy
At least one of amount application link and energy regeneration link, methods described includes：The heat transfer agent of collector node in mutual inductance layer；
If execution mutual inductance layer Decision Control, the vegetative nervous system being located in mutual inductance layer controls described at least in mutual inductance layer
Individual node, if not executing mutual inductance layer Decision Control, heat transfer agent is sent to interactive layer；If the interactive layer decision-making control of execution
System, then the peripheral nervous system being located in interactive layer controls at least one node described in mutual inductance layer, if not executing interaction
Layer Decision Control, then be sent to mutual intelligence layer by heat transfer agent；And in mutual intelligence layer, central nervous system produces decision information simultaneously
Control at least one node described in mutual inductance layer.
The present invention, pan-energy network control system is embodied as three-level nervous system, thus specify that pan-energy network mutual inductance, interaction,
The mutually sensing of three layers of interaction of intelligence and control principle, and mutual coordinative role, derive general energy by the ATP of body energy network
(it is " available energy " of equal value that electricity, the energy such as heat, gas and water can use unified to Universal Energy " ATP ", to realize similar human body glycogen fat
The translation function of equal value of fat creatine), and determine the different control form under two states of pan-energy network self-organizing system.General energy
The self-organizing system of net provides Self-organization Mechanism and between node in node it is achieved that the high-efficiency operation of pan-energy network.
Brief description
Fig. 1 shows the schematic diagram of body energy network.
Fig. 2 shows the schematic diagram of pan-energy network.
Fig. 3 shows the schematic diagram of the self-organizing system of pan-energy network.
Fig. 4 shows the self-organizing method in pan-energy network.
Fig. 5 shows the control flow chart of the mutual inductance layer of pan-energy network.
Fig. 6 shows the control system schematic diagram of the interactive layer of pan-energy network.
Fig. 7 shows the control flow chart of the mutual intelligence layer of pan-energy network.
Specific embodiment
First, term used herein is described as follows：
" bionical "：Bionics are the research structures of biosystem and property is that engineering technology provides new design philosophy and work
Make the science of principle.Bionics techniques are used as living model by the principle of work and power having and the mechanism of action to various biosystems
Studied, finally realized new Technology design.
" self-organizing system "：In the response to external world event occurring, person is referred to as certainly one system self organization ability
Tissue system, can form the system with certain 26S Proteasome Structure and Function by the development of itself and evolution.
" collection intelligence evolution engine "：For being integrated together the intellectual resources of each intelligent body, by each being taken
Action is evaluated, and then feeds back, and gives its rewards and punishments that should obtain, improves its level of intelligence, is allowed to form a positive feedback
Mechanism, realizes the dynamic and intelligent distribution of the energy.
" mutual inductance layer data storehouse "：Mutual inductance layer data storehouse is a part for pan-energy network mutual intelligence layer, for storing autonomic nerve
System information.
" interactive layer data storehouse "：Interactive layer data storehouse is a part for pan-energy network mutual intelligence layer, for storage execution and feedback
Information.
Present inventors have recognized that the operation mechanism of body energy network has reference for pan-energy network, wherein collection intelligence is entered
Change the effect that engine, mutual inductance layer data storehouse and interactive layer data storehouse each serve as brain, brain stem and cerebellum.
Human nerve network structure is active system in body.The various information of inside and outside environment, by sensor
After acceptance, brain is delivered to by peripheral nervous system and the maincenters at different levels of spinal cord are integrated, then through peripheral nervous system control
With adjust each system organ of body activity, to maintain the relative equilibrium of body and inside and outside boundary environment.
Nervous system is mainly made up of neuron.Nervous system by central nervous system and spreads all over whole body surrounding god everywhere
Through system two parts composition.Central nervous system includes brain and spinal cord, is located at cranial cavity and intraspinal tube respectively, is that nervous tissue collects most
In, the most complicated position of construction, control various physiological functions.Peripheral nervous system includes various nerves and neuroganglion, wherein same
The referred to as cranial nerve that brain is connected, be connected with spinal cord for spinal nerves, the title vegetative nervous system of domination internal organs.All kinds of god
Through being associated with other tracts by its tip.
The function of brain mainly has：Carry out the thinking of theoretical property, judge things, speak, administer instinct and administer emotion.
The function of nerve be the instruction of transmission brain to parts of body, then by peripheral nerve and central nervous system by parts of body
Collected information passes back to brain and carries out analyses.
Cerebellum is the largest portion of hindbrain, is also the second largest organ being only second to brain in central nervous system.Cerebellum with
Low brain stem has two-way fiber connections, so cerebellum scalable somatic movement, and tight with the common regulating muscle such as vestibular nucleus, rubrum
, adjust Somatic Reflection activity.Cerebellum and brain also have two-way fiber connections, and therefore cerebellum plays regulation and makees to random movement
With making strength, speed and the direction of action precisely controlled.Additionally, cerebellum also has regulation to make vegetalitas reflex center
With.
The function of brain stem mainly maintains individual life, including the important physiology work(such as heart beating, breathing, digestion, body temperature, sleep
Energy.Reach the neural impulse of brain via spinal cord, enter in interleaved mode：Impulsion on the right of spinal cord, first reaches a left side for brain stem
Side, is then re-fed into brain；From spinal cord left side person, first send into the right of brain stem, then pass to brain.
Spinal cord is the part of central nervous system, is the important component part of nervous system, the control of its active receiving brain.
From the various sensations impulsions of extremity and trunk, by the Ascending Fiber bundle of spinal cord, include conduction superficial sensibility, that is, conduction facial with
The outer fasciculus gracilis of the spinothalamic tract of the pain sensation, thermo aesthesia and thick tactile, conductive body sensation and fine touch and cuneate fascicle etc., and
The cerebellum somesthetic sensibility pathway of dorsal spinocerebellar tract.The impulsion of various sensation is communicated to brain by these visceral senses, carries out higher synthesises
Analysis；The Descending fibers bundle of spinal cord is passed through in the activity of brain, conducts voluntomotory corticospinal tract and adjustment cone including execution
The activity of system system simultaneously adjusts muscular tension, coordinates musculation, maintains posture and habitual action, make coordination, accurately, exempt from
Except the extrapyramidal system of vibrations and unnecessary subsidiary action, by pyramidal system and extrapyramidal system, adjust spinal neuron
Activity.Spinal cord itself can complete many reflex activities, but is also affected by cerebration.
Fig. 1 shows the schematic diagram of body energy network.Analyzed according to above, the production link of body energy network
1001st, storage link 1002, application link 1003, regeneration link 1004, by ATP and the ADP (storage of energy in conversion process
With release, form energy closed loop system.The production link 1001 of human body is the absorption of energy, by ATP and ADP mutually conversion
Self-balancing mechanism, supplies energy to apply link.Energy application link 1003 includes the activities such as the contraction of muscle, expansion；Remaining
Energy supply energy storage link 1002, stored with forms such as ATP, creatine, glycogen, fat.Energy regeneration link
1004 re-use useless material and the energy that energy application link 1003 produces, such as big intestinal absorption water.
If no environmental stimuli, human body four link controls automatic running by vegetative nervous system.When by extraneous demand
After stimulation, being analyzed by peripheral nervous system stimulates, and uploads impulsion signal to central nervous system, if cental system aphalangia
Order, then four links are according to peripheral nervous system instruction action, but if after impulsion signal passes to central nervous system, maincenter system
System finds that peripheral nervous system default instruction is uncomfortable, will adjust peripheral nervous system instruction, and send the control through intelligent decision
Instruction.
Cell is basic structure and the functional unit of group adult body；Substantial amounts of cell is worked in coordination with mutually, jointly complete certain or
Some same or analogous functions, we are referred to collectively as self-organizing such a cell；Human body self-organizing can be summarized as
Skin self-organizing, muscle self-organizing, connective self-organizing and nervous tissue.Liver, kidney, heart etc. these can carry out certain function work
Dynamic organ is consisted of synergism several different self-organizings together；Digestive system, urinary system, nerve
A series of these systems that can complete seriality physiological functions such as system are to be consisted of synergism multiple correlation organs again
's.
" working in coordination with " this concept is the central concept of synergism in systematic science, is breathed out by German theoretical physicist and agrees to carry
Go out.Ha Ken thinks：In a multi-level huge system, between the subsystem of same level, only pass through material, energy or letter
The modes such as breath exchange interact, and last layer subsystem just can be made to form a kind of group effect, or a kind of new structure, subsystem
Between this effect be just called synergism.
Between cell and cell by tissue fluid carry out nutrient substance exchange, with meet oneself metabolism, self more
New needs.Carry out the chemical substances such as hormone, lymphokine, neurotransmitter, inflammatory mediator to exchange simultaneously, adjusted with meeting self
The collaborative needs of section, adaptation.Also by the interaction between biological field and biological field between cell and cell, to adapt to work in coordination with
Need.
According to bio-holographic law, we the rest may be inferred so that it may know between self-organizing and self-organizing, organ and organ it
Between, the synergism between system and system be all by each of which space-time structure and derived structure is common participates in completing.
We can analyze the microcosmic energy circulation working mechanism of human body from human body microcosmic energy self-organizing system ATP.
ATP (adenosine-triphosphate) Chinese is adenosine triphyosphate, is adenosine triphosphate again
(adenosine triphosphate), referred to as ATP.Wherein A represents adenosine, and T represents that its quantity is three, and P represents phosphate group, i.e. a gland
Three phosphate groups are connected on glycosides.Its skeleton symbol is：A-P～P～P, the chemical bond between its two adjacent phosphate is non-
Often enliven, the energy of releasable about 30.54kJ/mol during hydrolysis, therefore referred to as energy-rich phosphate bond, with "～" represent, energy-rich phosphate
Key easy fracture, '-' it is energy-poor bond.Energy-rich phosphate bond becomes adenosine diphosphate (ADP) after going out to split a phosphoric acid and energy.Organic
In thing oxidation Decomposition or photosynthesis, ADP can obtain energy, combines to form ATP with phosphoric acid.This mutual turn of ATP and ADP
Change, be not in dynamic equilibrium, (enzyme used by conversion is different).(A-P～P～P is adenosine triphosphate, and abbreviation ATP, A-P～P are
Adenosine diphosphate (ADP), abbreviation ADP, A-P are adenosine monophosphate (Adenosine acid), abbreviation AMP.)
In body energy network, storage and the release of energy, You Jifen are carried out for organic media with sugar, fat and protein
The energy 60% of son release (similar pan-energy network application link) in the form of heat, and remaining is used for doing work.For do work
Can must be attached to first in ATP molecule.Inorganic phosphate is combined with adenosine diphosphate (ADP) and generates ATP, by this phosphorous oxide
Acidization, the energy of metabolite oxygen evolution is stored in ATP (similar pan-energy network storage link) with regard to some.ATP continues
Continuous cracking can provide the DIRECT ENERGY (similar pan-energy network production link) of acting.
In motion, the mode of body energy supply can divide two classes：One class is Non-oxygen energy supply, supplies relative deficiency in anaerobic or oxygen
In the case of, decompose energy supply mainly by ATP, CP and glycogen anerobic glycolysises energy supply (is decomposed into breast in the case of glycogen anaerobic
Acid is supplied simultaneously to human body energy).This type games can only continue the very short time (about 1-3 minute).Another kind of for Aerobic energy supply, that is,
During motion, energy is essentially from the aerobic oxidation of glycogen (fat, protein).Because in motion, oxygen supply is abundant, glycogen can be complete
Decompose, discharge big energy, thus longer time can be continued.
Shown in the following analysis of human body self-organizing operation mechanism：
Under normal circumstances, production link 1001 produces energy by dietary intake, and a part of heat can maintain body temperature, directly
It is employed link 1003 to use.Remaining can be converted into fat, glycogen is stored in vivo.It is in operation, fat and sugar unit is by exhaling
Suction effect exhaustive oxidation decomposition becomes CO2And water, and release energy.In unconventional operation, decompose by phosphagen and produce
Energy supply ATP synthesis and decompose and supply application link energy.
The present inventor proposes to set up pan-energy network using bionical nervous system, mutual inductance, interaction, three of mutual intelligence Three-tider architecture
Energy system Life cycle four link (production link, storage link, application link and regeneration link) is realized on level
Good speed row.Decision networks is constituted by the Optimal Decision-making system of mutual inductance, interaction, three levels of mutual intelligence, and reaches self-organizing function.
Fig. 2 shows the schematic diagram of pan-energy network.Referring to Fig. 2, the logical structure of pan-energy network includes mutual inductance layer 101, interactive layer
102 and mutual intelligence layer 103.
Include the node of pan-energy network positioned at the mutual inductance layer 101 of the bottom, a complete pan-energy network node includes producing ring
Section 1011, storage link 1012, application link 1013 and regeneration link 1014, and sensor or controller 1015.Should manage
Solution, at least some of multiple nodes of pan-energy network node can be incomplete, and the major part of for example some nodes is energy
Amount produces (as power plant), and the major part of some nodes is energy application (as family).
Distribute the available energy of pan-energy network four link using the pan-energy network node of efficiency controller according to internal logic rule
Produce, apply, regenerating the organic balanced ratio with storage it is achieved that the neurovegetative autonomy of similar human body controls.
Can be considered in the case of microcosmic and run by cell self-organizing mechanism, therefore, it is possible to think that pan-energy network node is motor neuron.
Additionally, sensor or controller 1015 can also be included in mutual inductance layer 101, for detecting the shape of pan-energy network node
State information and transfer control instruction, status information and transfer control instruction constitute (S, C, I) by three partial contents, including the energy
With heat transfer agent S (Sensing Info) of system mode, control information C (Control Info) of the energy and energy unit
Concrete identity and address information I (IP, ID).Therefore, it is possible to think that sensor or controller 1015 are sensory neurons.
It is connected to each other using star-ring topological structure between pan-energy network node.
Interactive layer 102 positioned at intermediate layer supports radio communication, web page operation and local human-computer interaction interaction, and manager is led to
Cross general energy interaction machine to realize communicating with communication apparatus, execute the operation to local interaction interface, thus realization and general can optimization take
The interaction of business device.Interactive layer 102 include Man Machine Interface HMI 1021 (HMI, Human Machine Interface, man-machine
Interface, is to interact the medium exchanging with information between system and user, realizes the inner form of information and externally represents shape
Conversion between formula), LAN and wide area network 1022 etc., for transmitting the mutual inductance layer 101 of lower floor to the mutual intelligence layer 103 on upper strata
Status information, and the mutual intelligence layer 103 from upper strata is to mutual inductance layer 101 transfer control instruction of lower floor.
It is considered that the sensor in mutual inductance layer 101 is sensory neuron, Man Machine Interface HMI1021, LAN and
Wide area network 1022 etc. is association neuron.
Include invisible social network and intelligent Cloud Server positioned at the mutual intelligence layer 103 of the superiors, can platform be realized by general
Intelligent interaction.Numerous policymaker constitute multi-agent system, and policymaker carries out decision making meeting for disaster, accident, policy etc., produce
Raw intelligent decision, can realize intelligent interaction with intelligent Cloud Server by platform by general.
It is considered that mutual intelligence layer 103 be include collection intelligence evolution engine (brain) 1031, interaction layer data storehouse (cerebellum) 1032,
The central nervous system in mutual inductance layer data storehouse (brain stem) 1033.Mutually the primary neurons of intelligence layer 103 are association neurons.
Referring to Fig. 2, the nervous system of pan-energy network can be divided into three-level：
A) one-level：Vegetative nervous system, the autonomy being mainly reflected in pan-energy network node controls.Vegetative nervous system
For example include efficiency controller；
B) two grades：Peripheral nervous system, is mainly reflected in the logic control according to default rule.Peripheral nervous system is for example
Including intelligent efficiency platform, environmental stimuli is transmitted to central nervous system, the decision information according to central nervous system controls
At least one node described, or at least one node according to environmental stimuli directly produces decision information control.Extraneous thorn
Swash e.g. user's energy requirement；
C) three-level：Central nervous system, is mainly reflected in the vegetative nervous system by mutual inductance layer data storehouse (brain stem)
Information, the execution of interactive layer data storehouse (cerebellum) and feedback information are determined by collecting the wisdom producing after intelligence evolution engine (brain) synthesis
Plan information.The wisdom decision information effect of single how, all will be stored in the decision support data of collection intelligence evolution engine (brain)
In storehouse (memory cell), form Experiential Knowledge Database.Central nervous system for example includes collecting intelligence evolution engine, for collecting mutual inductance layer
The vegetative nervous system information of data base, the execution in interactive layer data storehouse and feedback information, and carry out integrated treatment and produce
Decision information.
Referring to Fig. 2, the peripheral nervous system of pan-energy network experiences environmental stimuli (1.), such as the energy requirement of user.Around this
Environmental stimuli can be transmitted to central nervous system's (2.) by nervous system, obtain the wisdom decision information of central nervous system
(3.), and further according to wisdom decision information produce intelligent decision control command, this intelligent decision control command is transmitted
Node (4.) to pan-energy network.Instead, this peripheral nervous system directly can produce intelligent decision according to environmental stimuli and control
Order, this intelligent decision control command is sent to the node (4.) of pan-energy network.
The production of pan-energy network, application, storage, regeneration four links by efficiency controller control electricity, heat, gas, information defeated
Enter, mate, export, form energy closed loop system.Production link 1011 includes the energy such as coal gasification, biological flue gas, photovoltaic and photothermal
Input, by energy mix matching system, energy is mated, supply application link, to include center big for application link 1013
Tall building etc.；Remaining energy supply storage link is stored, and storage link 1012 includes gas storage, storing up electricity, Chu Leng, heat accumulation etc.；Again
Raw link 1014 includes wastewater treatment, microalgae inhales carbon etc..
The self-organizing system of pan-energy network has following basic feature：
1. should have general energy Universal Energy " ATP "；
2. the self-organizing of routine runs, the saccharide energy-provision way of similar human body；
3. the self-organizing of special status runs, the fatty energy-provision way of similar human body.
Fig. 3 shows the schematic diagram of the self-organizing system of pan-energy network.In the mutual inductance of pan-energy network, interaction, mutual intelligence three-decker
In, following Self-organization Mechanism can be comprised.
A) single celled Self-organization Mechanism, realizes the conversion of electricity, heat, gas with reality in the range of four links of pan-energy network local
The concept of existing Universal Energy, carries out energy conversion in intra-node and ensures the normal operation of pan-energy network local four links.General
The function of energy is realized by efficiency controller 1017.Pan-energy network unicellular be pan-energy network construction unit, including produce, should
With, storage, regeneration four links function at least a portion, referred to herein as " locally four link ".
B) intercellular Self-organization Mechanism, in addition to four links of local, also should set up between each local four link
Public self-organizing liquid, each local four link can be connected with no under certain exchange regulation, carry out energy among the nodes and turn
Move and ensure the normal operation of pan-energy network.Can be realized by preparing pool 1018, preparing pool 1018 includes the energy in pan-energy network
Storage link, such as storage batteries, store up cooling and heating device, caisson etc., the Buffer Pool as energy.
In the unicellular self-organizing of pan-energy network node runs, electric, hot, gas that production link 1011 is produced carry out turning
Change, supply application link 1013 uses, if there are remaining energy, then stored by storage link 1012.Work as production link
When the energy of 1011 offers is not enough to supply application link 1013 use, provide energy by storage link 1012, to ensure to be
The normal operation of system.The energy conversion of the internal links of efficiency controller 1017 control node and transmission.
In the iuntercellular self-organizing of pan-energy network node runs, peripheral nervous system and central nervous system make not homotype
Two or more nodes in enclosing can carry out energy transfer among the nodes and run.For example, peripheral nervous system includes
Intelligent efficiency platform, central nervous system includes collecting intelligence evolution engine.According to the decision information of central nervous system, or according to
Peripheral nervous system stimulates the decision information of direct generation to external world, shifts energy among the nodes using preparing pool.
Fig. 4 shows the self-organizing method in pan-energy network.
In step S01, the intelligent terminal in mutual inductance layer collects live heat transfer agent, can utilize in pan-energy network node
The operation based on single celled Self-organization Mechanism realized by efficiency controller, carries out energy conversion and distribution in enclosed environment.
In step S02, judge whether to carry out logic decision making control by mutual inductance layer.If it is carry out step S09, by mutual inductance
Layer logic controller carries out logic decision making control, then carries out step S08.If otherwise carrying out step S03.
In step S03, mutual inductance layer heat transfer agent is uploaded to interactive layer.
In step S04, judge whether to carry out Decision Control by interactive layer.If it is carry out step S10, assisted by interactive layer
It is optimized control with optimizer, then carry out step S08.If otherwise carrying out step S05.Interactive layer works in coordination with optimal control class
Control like human body spinal cord and peripheral nervous system.
In step S05, interactive layer information is uploaded to mutual intelligence layer, and produces Optimal Decision-making.
In step S06, judge whether to be carried out according to Optimal Decision-making by interactive layer according to the result of mutual intelligence layer Optimal Decision-making
Control.If it is carry out step S04.If otherwise carrying out step S07.
In step S07, Decision Control is carried out by mutual intelligence layer collection intelligence evolution engine.
In step S08, execute mutual inductance layer operation.
Mutual inductance layer decision-making, interactive layer decision-making and mutual intelligence layer decision-making can be realized pan-energy network in different range and be based on iuntercellular
Self-organization Mechanism operation.
Fig. 5 shows the control flow chart of the mutual inductance layer of pan-energy network, that is, be used for executing the logic decision making control of mutual inductance layer
More detailed step.
In step S0201, mutual inductance layer intelligent terminal's collection site device senses information.
In step S0202, heat transfer agent is uploaded to efficiency controller by intelligent terminal, executes efficiency control by efficiency controller
System, Absent measures, conventional control.
In step S0203, heat transfer agent together with facility information, is uploaded to MPC (Model by efficiency controller
Predictive Control, Model Predictive Control) controller, implementation model prediction, fluctuation prediction, according to the knot of model prediction
Fruit MPC controller walks and transmits control information/prediction data to interactive layer.
Calculate operational factor and the control of relevant device according to corresponding control strategy in above-mentioned steps S0202 and S0203
Parameter processed, is issued to intelligent terminal, and field apparatus is controlled；And intelligent terminal collects the feedback information of field apparatus,
And upload is fed back step by step.
Fig. 6 shows that the control system of the interactive layer of pan-energy network is illustrated, and the logic decision making for executing interactive layer controls.
Different from the efficiency controller of mutual inductance layer, the energy efficiency control system 1023 of interactive layer carries out data acquisition and strategy point
Join.Energy efficiency control system 1023 receives the data messages such as the operation information of mutual inductance layer 101 upload, prediction data, and is processed,
Then it is uploaded to intelligent efficiency platform 1024.Energy efficiency control system 1023 is allocated to the top level control strategy receiving, and passes
Pass the efficiency controller of interactive layer, to control relevant device.
The real-time optimization system of intelligent efficiency platform 1024 is optimized process to operation information, produces optimum results, with
Steady-state optimization system interacts, to realize real-time update and exchange, the management of people and control etc. of information.Steady-state optimization system
The optimum results checking information of generation is sent to dynamic simulation system, dynamic simulation system produces dynamic simulation data, and flat
Row control system (ACP) interacts.
Management personnel 1026 pass through ACP client 1025 and send efficiency diagnosis request, intelligence to intelligent efficiency platform 1024
The efficiency diagnostic system of efficiency platform 1024 calls specialist system to be analyzed, and returns after finding Optimal Management and Operating Guideline
ACP client 1025 is to management personnel 1026.Client 1027 is based on body-sensing comfort level, by ACP client 1025 to intelligent energy
Effect platform 1024 sends efficiency diagnosis request, and efficiency diagnostic system calls specialist system to be analyzed, and produces Optimal Control Strategy
Optimum feasible zone passes to energy efficiency control system 1023, is uploaded to mutual intelligence layer 103 by trunk Ethernet and carries out decision-making, or under
It is sent to mutual inductance layer 101 to implement.
Fig. 7 shows the control flow chart of the mutual intelligence layer of pan-energy network, that is, be used for executing the logic decision making control of mutual intelligence layer
More detailed step.
In step S0701, general can service platform collect user data information, include domestic consumer receive heat transfer agent with
The device parameter of ambient parameter, the control information of operation user's reception and upload uploading, the economic information managing user's reception
Economic instruction parameter with uploading, obtains collecting intelligence data.
In step S0702, the collection intelligence data collected is passed through to collect intelligence interface API (Application by general energy service platform
Programming Interface, application programming interface) pass to collection intelligence evolution engine.
In step S0703, collect intelligence evolution engine and by collecting intelligence evolution algorithm, data is processed.
In step S0704, collection intelligence evolution engine carries out collection intelligence Evolutionary Decision Making, generation can be advised and rewards and punishments strategy.
In step S0705, collection intelligence evolution engine provides a user with use can advise.
In step S0706, collect intelligence evolution engine by awarding suggestion and be sent to user, make user realize self and evolve, and right
Collection intelligence evolution strategy is fed back, and so that collection intelligence strategy is evolved.
Additionally, the evolution strategy obtaining also is returned to general energy service platform by collection intelligence evolution engine, accordingly controlled.
The control system of the present invention can be realized in any suitable form, including hardware, software, firmware or any these
Combination.The present invention can realize as the computer software running one or more data processors and/or digital signal processor.
The element of embodiments of the invention and assembly are in any suitable manner physically, functionally and logically realize.Certainly, may be used
Realize this function using in single unit, in multiple units or as the part of other functions unit.Thus, the present invention
Can implement in single unit, or can physically and functionally be distributed in different units and processor.
Although the invention has been described in connection with specific preferred embodiments, but it is to be understood that, the present invention is comprised
Purport be not limited to these specific embodiments.On the contrary, the purport of the present invention is intended to comprise all replaceable, modification and equivalence
Thing, these are included in spirit and scope of the appended claims.
Claims (11)
1. a kind of control system of pan-energy network, this pan-energy network includes at least two nodes linking together, and described at least two
Node includes efficiency controller, energy production link, energy storage link, energy application link and energy regeneration link at least
One, described control system includes：
Vegetative nervous system, the autonomy for executing mutual inductance node layer controls；
Peripheral nervous system, for executing the logic control according to default rule for the interactive layer；And
Central nervous system, produces decision information according to vegetative nervous system information, and forms Experiential Knowledge Database, by mutual
The collection intelligence evolution engine implementation evolution function of intelligence layer,
Wherein, vegetative nervous system allows each node to carry out energy conversion in intra-node and run, peripheral nerve
System and central nervous system allow two or more nodes in different range to carry out energy transfer among the nodes
And run.
2. control system according to claim 1, wherein vegetative nervous system include efficiency controller.
3. control system according to claim 1, wherein peripheral nervous system include intelligent efficiency platform, by environmental stimuli
It is transmitted to central nervous system, at least one node is controlled according to the decision information of central nervous system, or according to extraneous thorn
Swash directly generation decision information and control at least one node.
4. control system according to claim 3, wherein environmental stimuli are user's energy requirements.
5. control system according to claim 1, wherein central nervous system include collecting intelligence evolution engine, for collecting mutually
The vegetative nervous system information in sense layer data storehouse, the execution in interactive layer data storehouse and feedback information, and carry out integrated treatment and
Produce decision information.
6. a kind of self-organizing system of pan-energy network, this pan-energy network includes at least two nodes linking together, and described at least two
Individual node includes efficiency controller, energy production link, energy storage link, energy application link and energy regeneration link extremely
Few one, described self-organizing system includes：
Control system according to any one of claim 1-5；And
General energy preparing pool, the Buffer Pool as positive energy exchange between different nodes,
Wherein, efficiency controller is used for the energy conversion within control node.
7. self-organizing system according to claim 6, wherein operates below the execution of intra-node control system：
In energizing quantity with when using energy match, directly provide energy to energy application link from energy production link；
When energizing quantity is more than and uses energy, store energy in energy storage link；And
When energizing quantity is less than and uses energy, the energy of storage is supplied to energy application link.
8. self-organizing system according to claim 6, wherein control system execution is following among the nodes operates：
According to the decision information of central nervous system, or the decision-making letter stimulating direct generation according to peripheral nervous system to external world
Breath, shifts energy among the nodes using preparing pool.
9. a kind of self-organizing method of pan-energy network, this pan-energy network includes at least one node linking together, and described at least one
Individual node includes efficiency controller, energy production link, energy storage link, energy application link and energy regeneration link extremely
Few one, methods described includes：
The heat transfer agent of collector node in mutual inductance layer；
If execution mutual inductance layer Decision Control, be located at mutual inductance layer in vegetative nervous system control mutual inductance layer in described extremely
A few node, if not executing mutual inductance layer Decision Control, heat transfer agent is sent to interactive layer；
If the interactive layer Decision Control of execution, the peripheral nervous system being located in interactive layer control in mutual inductance layer described at least
One node, if not executing interactive layer Decision Control, heat transfer agent is sent to mutual intelligence layer；And
In mutual intelligence layer, central nervous system produces decision information and controls at least one node described in mutual inductance layer.
10. self-organizing method according to claim 9, wherein in intra-node, vegetative nervous system execution is following to grasp
Make：
In energizing quantity with when using energy match, directly provide energy to energy application link from energy production link；
When energizing quantity is more than and uses energy, store energy in energy storage link；And
When energizing quantity is less than and uses energy, the energy of storage is supplied to energy application link.
11. self-organizing methods according to claim 9, wherein said pan-energy network includes at least two sections linking together
Point, among the nodes, operates below peripheral nervous system and/or central nervous system's execution：
Stimulate to external world and responded, shift energy among the nodes.
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| CN102236342A (en) * | 2010-04-30 | 2011-11-09 | 新奥科技发展有限公司 | Method and system for controlling system energy efficiency |
| CN102426663A (en) * | 2011-05-20 | 2012-04-25 | 新奥科技发展有限公司 | Method for controlling universal-energy network by universal-energy current sequence parameter |
| CN102426438A (en) * | 2011-01-14 | 2012-04-25 | 新奥科技发展有限公司 | Universal energy network system based on universal energy gateway and construction method thereof |
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| CN102236343A (en) * | 2010-04-30 | 2011-11-09 | 新奥科技发展有限公司 | Smart energy network system and control method thereof |
| CN102236342A (en) * | 2010-04-30 | 2011-11-09 | 新奥科技发展有限公司 | Method and system for controlling system energy efficiency |
| CN102426438A (en) * | 2011-01-14 | 2012-04-25 | 新奥科技发展有限公司 | Universal energy network system based on universal energy gateway and construction method thereof |
| CN102426663A (en) * | 2011-05-20 | 2012-04-25 | 新奥科技发展有限公司 | Method for controlling universal-energy network by universal-energy current sequence parameter |
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