CN103576549A - 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 control system, self-organizing system and the method for pan-energy network.
Background technology
The principal mode of energy net is power network, wherein by existing power network is combined with the network communications technology, has realized the intellectuality of electrical energy production, transmission and utilization.
In the people's such as Gan middle school Chinese patent application No.201010173519.1 (denomination of invention: " realize the pan-energy network of energy source optimization utilization and provide energy transaction and the method for service "), disclose a kind of coupling utilization that realizes multiple-energy-source (polytype energy and/or from the energy in a plurality of geographic position), realized the management and decision of distributed energy and the scheme of carrying out the pan-energy network of efficiency optimization for the overall process of energy utilization.
Pan-energy network comprises transmitting the node that the virtual pipeline internet framework of pan-energy flow links together, transmitted in both directions pan-energy flow between node.Node comprises system energy efficiency controller, and is connected at least one in other nodes, energy production device, energy storage device, energy source use device and the energy source regenerating unit of system energy efficiency controller.Wherein, system energy efficiency controller is controlled at least one the input and output of pan-energy flow of other nodes, energy production device, energy storage device, energy source use device and energy source regenerating unit, and pan-energy flow comprises energy flow, material stream, the information flow logic and intelligent stream collaborative and that form that intercouples.
Pan-energy network is the intelligent pan-energy network network system that information, energy and a material combine together by collaborative coupling.Pan-energy network technology is the intelligent coordinated technology of consolidated network that Information Network, energy net and material net are coupled into, and has farthest embodied the networking relation of the mutual inductance of machine machine, human-computer interaction and everybody mutual intelligence.This technology has realized the seamless link of energy space, information space and material space by efficiency matching system, intelligent interaction control center and intelligent cloud service platform, thereby has realized the senior utilization of energy.
Can utilize osi model to set up the logical organization of pan-energy network.Osi model is divided into Physical layer, data link layer, network layer, transport layer, session layer, presentation layer, application layer by network service work.
Physical layer is made stipulations to the physical parameter (as communication media, transfer rate etc.) of communication; Data link layer is responsible for data to cut into data frame, and data frame is sent on transmission medium; Network layer is responsible for the packing of data and the setting of delivering path, when several LAN (Local Area Network) are interconnected, by it, carries out the selection in path; Transport layer provides reliable and stable data transmission between two systems, and the control of responsible data traffic and Error Control, guarantees transmitting end to end; Session layer is the interface that user enters network, is responsible for the session address of network-oriented to be transformed into the physical address of corresponding workstation; Presentation layer provides the interpreter coding of data layout; Application layer provides user interface and the Distributed database service of OSI communication protocol.
According to the feature of pan-energy network, the logical organization of pan-energy network comprises mutual inductance, interaction, mutual intelligence three coating systems.
At mutual inductance layer, day-to-day operation is controlled by smart energy network system exchanges data and pan-energy network balance optimizing; At interactive layer, after complex optimum strategy injects, on-site supervision personnel carry out basis adjustment for the situation that exceeds day to day operation range of control, meet service exception change demand; At mutual intelligence layer, for disaster, accident, policy etc., carry out decision-making, determine resource dispatching strategy, and coordinate with corresponding prediction scheme, form complex optimum strategy.
Yet, in pan-energy network, still exist following problem: at mutual inductance layer, although can use sensor, sensing network structure, sensing key message and sensing mechanism efficiency are not high; At interactive layer, existence cannot realize the problem of self-organization; At mutual intelligence layer, existence cannot be by the problem of swarm intelligence optimum synergistic.
The optimal control mechanism that expectation provides the Self-organization Mechanism of Fourth Ring joint and makes three coating systems efficient organic operations in pan-energy network.
Summary of the invention
The optimal control method and the Self-organization Mechanism that the object of this invention is to provide pan-energy network.
According to an aspect of the present invention, a kind of control system of pan-energy network is provided, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, described control system comprises: autonomic nervous system, for carrying out the independence of mutual inductance node layer, control; Peripheral nervous system, for carrying out interactive layer according to the logic control of default rule; And central nervous system, according to autonomic nervous system information, produce decision information, and formation Experiential Knowledge Database, by the collection intelligence evolution engine implementation evolution function of mutual intelligence layer, wherein, autonomic nervous system makes each node to carry out energy conversion and to move at intra-node, and the peripheral nervous system central nervous system of unifying makes two or more nodes in different range can between node, carry out energy transfer and move.
According to a further aspect in the invention, a kind of self-organizing system of pan-energy network is provided, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, and described self-organizing system comprises: above-mentioned control system; And general energy preparing pool, as the Buffer Pool of positive energy exchange between different nodes, wherein, efficiency controller is for controlling the energy conversion of intra-node.
According to another aspect of the invention, a kind of self-organizing method of pan-energy network is provided, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, and described method comprises: the heat transfer agent of collector node in mutual inductance layer; If carry out mutual inductance layer Decision Control, the autonomic nervous system that is arranged in mutual inductance layer is controlled described at least one node of mutual inductance layer, if do not carry out mutual inductance layer Decision Control, heat transfer agent is sent to interactive layer; If carry out interactive layer Decision Control, the peripheral nervous system that is arranged in interactive layer is controlled described at least one node of mutual inductance layer, if do not carry out 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 also controls described at least one node in mutual inductance layer.
The present invention, pan-energy network control system is embodied as to three grades of nervous systems, thereby clear and definite pan-energy network mutual inductance, interaction, three layers of mutual sensing of intelligence and control principle mutually, and mutual coordinative role, (electricity, heat, gas, water homenergic can be " available energy " of equal value with unification by the ATP of body energy network, to derive the general energy of general energy " ATP ", to realize the translation function of equal value of similar human body glycogen fat creatine), and determined pan-energy network self-organizing system different control form under two states.The self-organizing system of pan-energy network provides in node and internodal Self-organization Mechanism, has realized the high-efficiency operation of pan-energy network.
Accompanying drawing explanation
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.
Embodiment
First, the term using in the application is described as follows:
" bionical ": bionics is the research structure of biosystem and character provides new design philosophy and the science of principle of work for engineering.Bionics techniques is studied as living model by the principle of work and power and the mechanism of action that various biosystems are had, finally realizes new technical design.
" self-organizing system ": a system is in the response of event occurs to external world, and person is referred to as self-organizing system self organization ability, can form the system with certain 26S Proteasome Structure and Function by the evolution of itself.
" collection intelligence evolution engine ": for the intellectual resources of each intelligent body are integrated together, by taking separately action to evaluate, then feed back, give the rewards and punishments that it should obtain, improve its level of intelligence, make it to form a positive feedback mechanism, the dynamic and intelligent of realizing the energy distributes.
" mutual inductance layer data storehouse ": mutual inductance layer data storehouse is a part for the mutual intelligence layer of pan-energy network, for storing autonomic nervous system information.
" interactive layer data storehouse ": interactive layer data storehouse is a part for the mutual intelligence layer of pan-energy network, carries out and feedback information for storing.
The inventor recognizes that the operation mechanism of body energy network has reference for pan-energy network, wherein collects the effect that brain, brain stem and cerebellum are played respectively in intelligence evolution engine, mutual inductance layer data storehouse and interactive layer data storehouse.
Human nerve network structure is active system in body.The various information of inside and outside environment, after being accepted by receptor, the maincenters at different levels that are delivered to brain and spinal cord by peripheral nervous system are integrated, then through peripheral nervous system, control and regulate the activity of each system organ of body, to maintain the relative equilibrium of body and inside and outside boundary environment.
Nervous system is mainly comprised of neuron.Nervous system is unified and is spread all over whole body peripheral nervous system two parts everywhere and form by central nervous system.Central nervous system comprises brain and spinal cord, lays respectively in cranial cavity and canalis spinalis, is the position that nerve fiber is the most concentrated, structure is the most complicated, controls various physiological functions.Peripheral nervous system comprises various nerves and neuromere, and what wherein with brain, be connected is called cranial nerve, and what be connected with spinal cord is spinal nerve, arranges the title autonomic nervous system of internal organs.All kinds of nerves are associated with other tracts by its tip.
The function of brain mainly contains: carry out theoretical property thinking, judgement things, speak, administer instinct and administer emotion.Neural function is to transmit the instruction of brain to parts of body, then by nerve ending and central nervous system, the collected information of parts of body is passed back to brain and carry out analysis.
Cerebellum is the largest portion of hindbrain, is also the second largest organ that is only second to brain in central nervous system.Cerebellum and low brain stem have two-way fiber to contact, thus the adjustable somatic movement of cerebellum, and nervous with the common adjuster such as vestibular nucleus, rubrum, regulate Somatic Reflection movable.Cerebellum and brain also have two-way fiber to contact, so cerebellum plays regulating action to random movement, make strength, speed and the direction of action precisely controlled.In addition, cerebellum also has regulating action to vegetalitas reflex centre.
The function of brain stem is mainly to maintain individual life, comprises the important physiological function such as heartbeat, breathing, digestion, body temperature, sleep.Via spinal cord, reach the nerve impulse of brain, be interleaved mode and enter: the impulsion from spinal cord the right, first reaches the left side of brain stem, and then send into brain; From spinal cord left side person, first send into the right of brain stem, then pass to brain.
Spinal cord is a part for central nervous system, is neural important component part, the control of its active receiving brain.Various sensation impulsions from four limbs and trunk, by the Ascending Fiber bundle of spinal cord, comprise conduction superficial sensibility, the fasciculus gracilis of tractus spinothalamicus, conductive body sensation and the fine touch of the i.e. conduction face pain sensation, temperature sensation and thick sense of touch in addition and cuneate fascicle etc., and the cerebellum proprioception pathway of dorsal spinocerebellar tract.These visceral senses are communicated to brain by various sensation impulsions, carry out higher synthesis analysis; The activity of brain is by the Descending fibers bundle of spinal cord, comprise and carry out the voluntomotory tractus corticospinalis of conduction and adjust the movable of pyramidal system and adjust flesh tension force, coordinate muscle activity, maintain posture and habitual action, make coordination, accurately, the extrapyramidal system of exempting vibrations and unnecessary subsidiary action, by pyramidal system and extrapyramidal system, adjust the activity of spinal neuron.Spinal cord itself can complete many reflex activities, but is also subject to the impact of cerebration.
Fig. 1 shows the schematic diagram of body energy network.According to above analysis, the production link 1001 of body energy network, storage link 1002, application link 1003, regeneration link 1004, by ATP and ADP (storage of energy and release in conversion process, forming energy closed-loop system.The production link 1001 of human body is the absorption of energy, and the self-equilibrating mutually transforming by ATP and ADP mechanism, by Power supply application link.Energy applications link 1003 comprises the activities such as the contraction, expansion of muscle; Remaining Power supply energy storage link 1002, stores with forms such as ATP, creatine, glycogen, fat.Energy regeneration link 1004 re-uses useless material and the energy that energy applications link 1003 produces, as large intestinal absorption water.
If without environmental stimuli, human body Fourth Ring joint is controlled operation automatically by autonomic nervous system.After being subject to the stimulation of extraneous demand, by peripheral nervous system analysis, stimulated, and upload impulsion signal to central nervous system, if cental system is without instruction, Fourth Ring joint is according to peripheral nervous system instruction action, if still impulsion signal is passed to after central nervous system, cental system finds that peripheral nervous system default instruction is uncomfortable, to adjust peripheral nervous system instruction, send the steering order through intelligent decision.
Cell is basic structure and the functional unit that forms human body; A large amount of cells is collaborative mutually, jointly completes certain or some same or analogous function, and we call self-organization such a cell collective; Human body self-organization can be summarized as epithelium self-organization, muscle self-organization, tie and form self-organization and nerve fiber.These organs that can carry out certain functional activity such as liver, kidney, heart consist of synergy several different self-organizations together; These systems that can complete a series of continuity physiological functions such as digestive system, urinary system, nervous system consist of synergy a plurality of relevant organs again.
" work in coordination with " central concept that this concept is synergism in system science, by German theoretical physicist, breathe out and agree propose.Ha Ken thinks: in a multi-level huge system, between the subsystem of same level, only have by modes such as material, energy or message exchanges and interact, just can make last layer subsystem form a kind of group effect, or a kind of new structure, this effect between subsystem is just called synergy.
Between cell and cell, by tissue fluid, carrying out nutriment and exchanging, to meet the needs of own metabolism, self.Carry out the chemical substance exchanges such as hormone, lymphokine, neurotransmitter, inflammatory mediator, to meet self-control, to adapt to collaborative needs simultaneously.Between cell and cell, also by the interaction between biological field and biological field, to adapt to, work in coordination with needs.
According to bio-holographic law, the rest may be inferred for we, just can know between self-organization and self-organization, the synergy between organ and organ, between system and system is all jointly to have been participated in by their space-time structure and derived structures separately.
We can analyze from human body microcosmic energy self-organizing system ATP the microcosmic energy circulation working mechanism of human body.
ATP (adenosine-triphosphate) Chinese is adenosine triphyosphate, is again atriphos (adenosine triphosphate), referred to as ATP.Wherein A represents adenosine, and T represents that its quantity is three, and P represents phosphate group, on an adenosine, connects three phosphate groups.Its skeleton symbol is: A-P～P～P, and the chemical bond between its two adjacent phosphates is very active, can discharge the energy of about 30.54kJ/mol during hydrolysis, is therefore called energy-rich phosphate bond, with "～", represent, energy-rich phosphate bond easy fracture, '-' is energy-poor bond.Energy-rich phosphate bond becomes adenosine diphosphate (ADP) after going out to split a phosphoric acid and energy.In oxidation operation decomposition or photosynthesis process, ADP can obtain energy, is combined forms ATP with phosphoric acid.This mutual conversion of ATP and ADP, is not in mobile equilibrium, (transforming enzyme used different).(A-P～P～P is atriphos, is called for short ATP, and A-P～P is adenosine diphosphate (ADP), is called for short ADP, and A-P is adenosine monophosphate (Adenosine acid), is called for short AMP.)
In body energy network, take sugar, fat and protein carries out storage and the release of energy as organic media, and the energy 60% that organic molecule discharges occurs (similar pan-energy network application link) with hot form, and remaining is used for acting.First the energy that is used for doing work must be attached in ATP molecule.Inorganic phosphate and adenosine diphosphate (ADP) are in conjunction with generating ATP, and by this oxidative phosphorylation process, the energy of metabolin oxygen evolution is stored in (similar pan-energy network storage link) in ATP with regard to some.The continuation cracking of ATP can provide the DIRECT ENERGY (similar pan-energy network production link) of acting.
In motion, the mode of body energy supply can be divided two classes: a class is anaerobic energy supply, the in the situation that of anaerobic or oxygen supply relative deficiency, mainly by ATP, CP, decompose energy supply and glycogen anerobic glycolysis energy supply (being in the situation of glycogen anaerobic, to be decomposed into lactic acid to supply with human body energy) simultaneously.This type games can only continue the very short time (about 1-3 minute).Another kind of is Aerobic energy supply, and while moving, energy is mainly from the aerobic oxidation of glycogen (fat, protein).Because oxygen supply in motion is abundant, glycogen can decompose completely, discharges large energy, thereby can continue the longer time.
Shown in the following analysis of human body self-organization operation mechanism:
Generally, production link 1001 is by dietary intake produce power, and a part of heat can maintain body temperature, is directly employed link 1003 and uses.All the other can be converted into fat, glycogen is stored in vivo.Be in operation, fat and sugar unit is decomposed and is become CO by respiration exhaustive oxidation
2and water, and release energy.Unconventional in service, by phosphocreatine, decomposes the energy producing and for ATP, synthesize and decompose and supply with and apply link energy.
The inventor proposes to utilize bionical nervous system to set up pan-energy network, realizes the optimum operation of energy system Life cycle Fourth Ring joint (production link, storage link, application link and regeneration link) in three levels of mutual inductance, interaction, mutual intelligence three coating systems.Optimal Decision-making system by mutual inductance, interaction, mutual three levels of intelligence forms decision networks, and reaches self-organization function.
Fig. 2 shows the schematic diagram of pan-energy network.Referring to Fig. 2, the logical organization of pan-energy network comprises mutual inductance layer 101, interactive layer 102 and mutual intelligence layer 103.
The mutual inductance layer 101 that is positioned at the bottom comprises the node of pan-energy network, and a complete pan-energy network node comprises production link 1011, stores link 1012, applies link 1013 and regeneration link 1014, and sensor or controller 1015.Should be appreciated that at least some nodes in a plurality of nodes of pan-energy network can be incomplete, for example the major part of some node is energy production (as generating plant), and the major part of some node is energy applications (as family).
Adopt the pan-energy network node of efficiency controller according to the organic balanced ratio of production, application, regeneration and the storage of the available energy of internal logic regular allocation pan-energy network Fourth Ring joint, realized the neurovegetative independence of similar human body and controlled.In microcosmic situation, can be considered by the operation of cell self-organization mechanism, thereby, can think that pan-energy network node is motor neuron.
In addition, in mutual inductance layer 101, can also comprise sensor or controller 1015, status information and transfer control instruction for detection of pan-energy network node, status information and transfer control instruction form (S by three partial contents, C, I), comprise the heat transfer agent S (Sensing Info) of the energy and system state, concrete identity and the address information I (IP, ID) of the control information C of the energy (Control Info) and energy unit.Thereby, can think that sensor or controller 1015 are sensory neurons.
Between pan-energy network node, adopt star-ring topological structure to be connected to each other.
Interaction layer 102 support of wireless communication, web page operation and the local human-computer interaction that are positioned at middle layer are mutual, and supvr is realized and being communicated by letter with communication apparatus by the mutual machine of general energy, carries out the operation to local interaction interface, thereby realization and general energy Optimized Service device is mutual.Interactive layer 102 comprises Man Machine Interface HMI 1021 (HMI, Human Machine Interface, man-machine interface, it is the medium that carries out mutual and message exchange between system and user, realize the internal form of information and externally represent the conversion between form), LAN (Local Area Network) and wide area network 1022 etc., for the mutual intelligence layer 103 to upper strata, transmit the status information of the mutual inductance layer 101 of lower floors, and from mutual inductance layer 101 transfer control instruction of the mutual Zhi Ceng103Xiang lower floor on upper strata.
Can think that the sensor in mutual inductance layer 101 is sensory neuron, Man Machine Interface HMI1021, LAN (Local Area Network) and wide area network 1022 etc. are internuncial neurons.
The mutual intelligence layer 103 that is positioned at the superiors comprises invisible social network and intelligent Cloud Server, by general, can realize intelligent interaction by platform.Numerous decision maker form multi-agent system, and decision maker carries out decision making meeting for disaster, accident, policy etc., produce intelligent decision, by general energy platform and intelligent Cloud Server, realize intelligent interaction.
Can think that mutual intelligence layer 103 is the central nervous systems that comprise collection intelligence evolution engine (brain) 1031, interactive layer data storehouse (cerebellum) 1032, mutual inductance layer data storehouse (brain stem) 1033.The main neuron of intelligence layer 103 is internuncial neurons mutually.
Referring to Fig. 2, the nervous system of pan-energy network can be divided into three grades:
A) one-level: autonomic nervous system, the independence that is mainly reflected in pan-energy network node is controlled.Autonomic nervous system for example comprises efficiency controller;
B) secondary: peripheral nervous system, is mainly reflected in the logic control according to default rule.Peripheral nervous system for example comprises intelligent efficiency platform, environmental stimuli is transmitted to central nervous system, according to the decision information of central nervous system, control described at least one node, or directly produce described at least one node of decision information control according to environmental stimuli.Environmental stimuli is for example user's energy requirement;
C) three grades: central nervous system, is mainly reflected in execution by the autonomic nervous system information in mutual inductance layer data storehouse (brain stem), interactive layer data storehouse (cerebellum) and feedback information by the wisdom decision information that collects intelligence evolution engine (brain) and produce after comprehensive.The wisdom decision information effect of single how, all will be stored in the Decision support database (memory cell) of collection intelligence evolution engine (brain), forms Experiential Knowledge Database.Central nervous system for example comprises collection intelligence evolution engine, for collecting execution and the feedback information in the autonomic nervous system information in mutual inductance layer data storehouse, interactive layer data storehouse, and carries out overall treatment and produces decision information.
Referring to Fig. 2, the peripheral nervous system of pan-energy network is experienced environmental stimuli (1.), as user's energy requirement.This peripheral nervous system can be transmitted to environmental stimuli central nervous system (2.), obtain the wisdom decision information (3.) of central nervous system, and further according to wisdom decision information, produce intelligent decision control command, this intelligent decision control command is sent to the node (4.) of pan-energy network.Instead, this peripheral nervous system can directly produce intelligent decision control command according to environmental stimuli, this intelligent decision control command is sent to the node (4.) of pan-energy network.
The production of pan-energy network, application, storage, regeneration Fourth Ring joint are controlled electricity, heat, gas, the input of information, coupling, output, forming energy closed-loop system by efficiency controller.Production link 1011 comprises the input of coal gasification, biological flue gas, photovoltaic and photothermal homenergic, by energy mix matching system, energy is mated, and supplies with application link, and application link 1013 comprises Center Building etc.; Remaining Power supply stores link and stores, and stores link 1012 and comprises gas storage, accumulate, Chu Leng, heat accumulation etc.; Regeneration link 1014 comprises that wastewater treatment, micro-algae inhale carbon etc.
The self-organizing system of pan-energy network has following essential characteristic:
1. should there is the general energy of general energy " ATP ";
2. the self-organization of routine operation, the carbohydrate energy-provision way of similar human body;
3. the self-organization of special status operation, 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, mutually in intelligence three-decker, can comprise following Self-organization Mechanism.
A) single celled Self-organization Mechanism, the conversion that realizes electricity, heat, gas in the scope saving at the local Fourth Ring of pan-energy network, to realize the concept of general energy, is carried out energy conversion and is guaranteed the normal operation that the local Fourth Ring of pan-energy network is saved at intra-node.The function of general energy realizes by efficiency controller 1017.The unicellular of pan-energy network is the structural unit of pan-energy network, comprises at least a portion of the function of production, application, storage, regeneration Fourth Ring joint, in this article also referred to as " local Fourth Ring joint ".
B) intercellular Self-organization Mechanism, except the joint of local Fourth Ring, also should be for setting up public self-organization liquid between each local Fourth Ring joint, each local Fourth Ring joint can be connected with nothing under certain exchange regulation, carries out energy transfer and guarantee the normal operation of pan-energy network between node.Can realize by preparing pool 1018, preparing pool 1018 comprises the energy storage link in pan-energy network, as accumulate battery, and storage cooling and heating device, accumulator units etc., as the Buffer Pool of energy.
Unicellular self-organization at pan-energy network node is in service, and electricity, heat, gas that production link 1011 is produced are changed, and supplies with application link 1013 and uses, if there is remaining energy, by storing link 1012, stores.When the energy shortage providing when production link 1011 is used to supply with application link 1013, by storing link 1012, provide energy, to guarantee the normal operation of system.Efficiency controller 1017 is controlled energy conversion and the transmission of intra-node links.
Iuntercellular self-organization at pan-energy network node is in service, and the peripheral nervous system central nervous system of unifying makes two or more nodes in different range can between node, carry out energy transfer and move.For example, peripheral nervous system comprises intelligent efficiency platform, and central nervous system comprises collection intelligence evolution engine.According to the decision information of central nervous system, or according to peripheral nervous system, stimulate to external world the decision information of direct generation, use preparing pool between node, to shift energy.
Fig. 4 shows the self-organizing method in pan-energy network.
At step S01, the intelligent terminal that is arranged in mutual inductance layer is collected on-the-spot heat transfer agent, at pan-energy network node, can utilize efficiency controller to realize the operation based on single celled Self-organization Mechanism, at enclosed environment, carries out energy conversion and distribution.
At step S02, judge whether to carry out logical decision control by mutual inductance layer.If it is carry out step S09, by mutual inductance layer logic controller, carry out logical decision control, then carry out step S08.If otherwise carry out step S03.
At step S03, mutual inductance layer heat transfer agent is uploaded to interactive layer.
At step S04, judge whether to carry out Decision Control by interactive layer.If it is carry out step S10, by interactive layer cooperate optimization device, be optimized control, then carry out step S08.If otherwise carry out step S05.Interactive layer cooperate optimization controls similar human body spinal cord and peripheral nervous system is controlled.
At step S05, interactive layer information is uploaded to mutual intelligence layer, and produces Optimal Decision-making.
At step S06, according to the result of mutual intelligence layer Optimal Decision-making, judge whether to control according to Optimal Decision-making by interactive layer.If it is carry out step S04.If otherwise carry out step S07.
At step S07, by mutual intelligence layer collection intelligence evolution engine, carry out Decision Control.
At step S08, carry out mutual inductance layer operation.
The decision-making of mutual inductance layer, the decision-making of interactive layer and mutual intelligence layer decision-making can realize the operation of pan-energy network based on intercellular Self-organization Mechanism in different range.
Fig. 5 shows the control flow chart of the mutual inductance layer of pan-energy network, the more detailed step of controlling for carrying out the logical decision of mutual inductance layer.
At step S0201, mutual inductance layer intelligent terminal collection site device senses information.
At step S0202, intelligent terminal is uploaded to efficiency controller by heat transfer agent, by efficiency controller, carries out efficiency control, link control, conventional control.
At step S0203, efficiency controller by heat transfer agent together with facility information, be uploaded to MPC (Model Predictive Control, Model Predictive Control) controller, implementation model prediction, fluctuation prediction, walk to interactive layer communicating control information/predicted data according to the result MPC controller of model prediction.
In above-mentioned steps S0202 and S0203, according to corresponding control strategy, calculate the operational factor of relevant device and control parameter, being issued to intelligent terminal, field apparatus is controlled; And intelligent terminal is collected the feedback information of field apparatus, and uploads and feed back step by step.
Fig. 6 shows the control system signal of the interactive layer of pan-energy network, for carrying out the logical decision of 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 distributes.The data messages such as the operation information that energy efficiency control system 1023 reception mutual inductance layers 101 are uploaded, predicted data, and process, be then uploaded to intelligent efficiency platform 1024.The upper strata control strategy that 1023 pairs of energy efficiency control systems receive distributes, and passes to the efficiency controller of interactive layer, to control relevant device.
The real-time optimization system of intelligence efficiency platform 1024 is optimized processing to operation information, produces optimum results, carries out alternately, to realize the real-time update of information and exchange, people's management and control etc. with steady-state optimization system.Steady-state optimization system sends to dynamic simulation system by the optimum results authorization information of generation, and dynamic simulation system produces dynamic simulation data, carries out alternately with parallel control system (ACP).
Fig. 7 shows the control flow chart of the mutual intelligence layer of pan-energy network, the more detailed step of controlling for carrying out the logical decision of mutual intelligence layer.
At step S0701, general energy service platform is collected user data information, comprise the economic information that the control information that the heat transfer agent that domestic consumer receives and the environmental parameter of uploading, operation user receive and the device parameter of uploading, leading subscriber receive and the economic indication parameter of uploading, obtain collecting intelligence data.
At step S0702, general can the collection intelligence data of collecting being passed to and be collected intelligence evolution engine by collection intelligence interface API (Application Programming Interface, application programming interface) service platform.
At step S0703, collection intelligence evolution engine is processed data by collection intelligence evolution algorithm.
At step S0704, collection intelligence evolution engine collects intelligence Evolutionary Decision Making, produces with advising and rewards and punishments strategy.
At step S0705, collection intelligence evolution engine provides with advising to user.
At step S0706, collection intelligence evolution engine sends to user by award suggestion, makes user realize oneself and evolves, and collection intelligence evolution strategy is fed back, and makes to collect intelligence strategy and is evolved.
In addition, collection intelligence evolution engine also returns to the evolution strategy obtaining general energy service platform, carries out corresponding control.
Control system of the present invention can realize with any suitable form, comprises hardware, software, firmware or any these combinations.The present invention can be used as the computer software of the one or more data processors of operation and/or digital signal processor and realizes.The element of embodiments of the invention and assembly are in any suitable manner physically, realize in function and in logic.Certainly, can be in single unit, in a plurality of unit or realize this function as the parts of other functional units.Thus, the present invention also can implement in single unit, or can be distributed in different units and processor physically with in function.
Although described the present invention in conjunction with specific preferred embodiment, should be understood that, the purport that the present invention comprises is not limited to these specific embodiments.On the contrary, purport of the present invention is intended to comprise all replaceable, modifications and equivalent, and these are included in the spirit and scope of claims.
Claims (11)
1. the control system of a pan-energy network, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, and described control system comprises:
Autonomic nervous system, controls for carrying out the independence of mutual inductance node layer;
Peripheral nervous system, for carrying out interactive layer according to the logic control of default rule; And
Central nervous system, produces decision information according to autonomic nervous system information, and forms Experiential Knowledge Database, by the collection intelligence evolution engine implementation evolution function of mutual intelligence layer,
Wherein, autonomic nervous system makes each node to carry out energy conversion and to move at intra-node, and the peripheral nervous system central nervous system of unifying makes two or more nodes in different range can between node, carry out energy transfer and move.
2. control system according to claim 1, wherein autonomic nervous system comprises efficiency controller.
3. control system according to claim 1, wherein peripheral nervous system comprises intelligent efficiency platform, environmental stimuli is transmitted to central nervous system, according to the decision information of central nervous system, control described at least one node, or directly produce described at least one node of decision information control according to environmental stimuli.
4. control system according to claim 3, wherein environmental stimuli is user's energy requirement.
5. control system according to claim 1, wherein central nervous system comprises collection intelligence evolution engine, for collecting execution and the feedback information in the autonomic nervous system information in mutual inductance layer data storehouse, interactive layer data storehouse, and carry out overall treatment and produce decision information.
6. the self-organizing system of a pan-energy network, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, and described self-organizing system comprises:
According to the control system described in any one in claim 1-5; And
General energy preparing pool, as the Buffer Pool of positive energy exchange between different nodes,
Wherein, efficiency controller is for controlling the energy conversion of intra-node.
7. self-organizing system according to claim 6, wherein operation below intra-node control system is carried out:
At energizing quantity with can be flux matched time, from energy production link, directly to energy applications link, provide energy;
At energizing quantity, be greater than while using energy, store energy in energy storage link; And
At energizing quantity, be less than while using energy, the energy of storage is offered to energy applications link.
8. self-organizing system according to claim 6, wherein operation below control system between node is carried out:
According to the decision information of central nervous system, or according to peripheral nervous system, stimulate to external world the decision information of direct generation, use preparing pool between node, to shift energy.
9. the self-organizing method of a pan-energy network, this pan-energy network comprises at least one node linking together, described at least one node comprises at least one of efficiency controller, energy production link, energy storage link, energy applications link and energy regeneration link, and described method comprises:
The heat transfer agent of collector node in mutual inductance layer;
If carry out mutual inductance layer Decision Control, the autonomic nervous system that is arranged in mutual inductance layer is controlled described at least one node of mutual inductance layer, if do not carry out mutual inductance layer Decision Control, heat transfer agent is sent to interactive layer;
If carry out interactive layer Decision Control, the peripheral nervous system that is arranged in interactive layer is controlled described at least one node of mutual inductance layer, if do not carry out 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 also controls described at least one node in mutual inductance layer.
10. self-organizing method according to claim 9, wherein at intra-node, autonomic nervous system is carried out following operation:
At energizing quantity with can be flux matched time, from energy production link, directly to energy applications link, provide energy;
At energizing quantity, be greater than while using energy, store energy in energy storage link; And
At energizing quantity, be less than while using energy, the energy of storage is offered to energy applications link.
11. self-organizing methods according to claim 9, wherein, between node, peripheral nervous system and/or central nervous system are carried out following operation:
Stimulate and respond to external world, between node, shift energy.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1986003350A1 (en) * | 1984-11-19 | 1986-06-05 | Klaus Winter | Power systems |
| 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 |
| 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 |
| 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 |
-
2012
- 2012-08-08 CN CN201210280426.8A patent/CN103576549B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1986003350A1 (en) * | 1984-11-19 | 1986-06-05 | Klaus Winter | Power systems |
| 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 |
| 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 |
| 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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