CN102841582A - Distribution grid self-healing control system and implementation method thereof - Google Patents
Distribution grid self-healing control system and implementation method thereof Download PDFInfo
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- CN102841582A CN102841582A CN2012102798820A CN201210279882A CN102841582A CN 102841582 A CN102841582 A CN 102841582A CN 2012102798820 A CN2012102798820 A CN 2012102798820A CN 201210279882 A CN201210279882 A CN 201210279882A CN 102841582 A CN102841582 A CN 102841582A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
Abstract
The invention discloses a distribution grid self-healing control system which is characterized by comprising an entity Agent, a function Agent, an interface Agent and a translation Agent; the entity Agent comprises two types including an element type and an integration type; the element-type entity Agent is embedded in a controlled apparatus; the interface Agent is embedded in a control terminal; the integration-type entity Agent, the function Agent and the translation Agent are embedded in a server; the entity Agent is connected with other systems by the translation Agent, connected with a scheduler by the interface Agent and used for ensuring the normal running of the controlled apparatus via the processing task of the function Agent. The problems in the development of the distribution grid self-healing control system are solved by adopting the multifunctional intelligent system provided by the invention.
Description
Technical field
The present invention relates to the multi-agent system framework and the implementation method of field of power, be specifically related to a kind of power distribution network self-healing control system and its implementation.
Background technology
At present; Power distribution network self-healing control faces huge challenge: soft hardware equipment is many, have a very wide distribution; Emergency case such as equipment failure, system crash, maloperation possibly appear in the work; The data volume that holistic approach is handled is big, computation process is complicated, arithmetic speed is undesirable, is difficult to plug and play ground and introduces new technology, new equipment, new system; Traditional centralized software modeling method is difficult to solve an above-mentioned difficult problem.The distributivity of MAS, integration, fault-tolerance, independence, dirigibility and extensibility can solve the difficulty that power distribution network self-healing control faces; Ken is various, engineering theory is not mature enough but its exploitation relates to; In the existing design proposal from top to bottom, central controlled thought ubiquity still; Cause the most important independence of Agent to descend, integration, fault-tolerance, dirigibility and the extendability of system caused adverse effect.
Summary of the invention
Deficiency to prior art; The present invention provides a kind of power distribution network self-healing control system and its implementation; Not only can integrated numerous equipment and function, have stronger dirigibility, extensibility and fault-tolerance, can also solve the on-the-spot problem that occurs; Prevent that calculating object from enlarging, and improves the real-time response ability of system.
A kind of power distribution network self-healing control system provided by the invention, its improvements are that said system comprises entity A gent, function Agent, interface A gent and translation Agent; Said entity A gent comprises element type entity A gent and assembly type entity A gent;
Said element type entity A gent is embedded in the controlled device; Said interface A gent embeds in the control terminal; Said assembly type entity A gent, function Agent and translation Agent embed in the server;
Said assembly type entity A gent connects other system through translation Agent, connects the yardman through interface A gent, through the Processing tasks of function Agent, guarantees the normal operation of controlled device.
Wherein, the corresponding said controlled device of said element type entity A gent, said assembly type entity A gent correspondence analysis unit.
Wherein, said element type entity A gent obtains the service data of said equipment under test, when data occur then carrying out emergency processing when unusual.
Wherein, said assembly type entity A gent is used to coordinate relation, the monitored state variation between subordinate's intelligence body and coordinate control.
Wherein, said function Agent is used to assist said entity A gent to accomplish control task; The corresponding a kind of function implementation method of said function Agent; The Agent of same said function different implementation methods constitutes an alliance; Represent Agent by one in the alliance and handle external affairs, internal affairs are then distributed to remaining function Agent by alliance's internal mechanism and are handled.The Task Distribution way is: principal and subordinate's control, negotiation, contract, auction or coordination etc.
Wherein, said interface A gent comprises: the management type interface A gent of the terminal type interface A gent of standard device corresponding equipment type interface A gent, standard set mapping and processing MAS incident; But standard device of the present invention is a sub-set of measuring and controlling equipment, but it is the measuring and controlling equipment of standard, batch process.
Said equipment type interface A gent is used to be provided with and show the parameter and the state of said equipment under test;
Said terminal type interface A gent is used to provide yardman's control terminal;
The incident that said management type interface A gent is used to keep watch on said system is handled all Agent abnormal problems.
Wherein, said translation Agent is used for the conversion between external system information and the said intelligent body information.
Wherein, each Agent is provided with relational database and XML file;
Said relational database is used for storage voltage value, current value, meritorious value and idle value; Said magnitude of voltage, current value, meritorious value and idle value comprise instantaneous value and history value;
Said XML file is used for storage voltage limit value, current limit, line loss limit value, power factor limit value and time delay etc.
Wherein, said element type entity A gent comprises switch Agent, electric capacity Agent, reactance Agent, transformer Agent, pressure regulator Agent and DG Agent;
Said switch Agent is the mapping model of switch;
Said electric capacity Agent is the mapping model of capacitor;
Said reactance Agent is the mapping model of reactor;
Said transformer Agent is the mapping model of transformer;
Said pressure regulator Agent is the mapping model of pressure regulator;
Said DGAgent is the mapping model of distributed power source.
Wherein, said assembly type entity A gent comprises feeder line Agent; Said feeder line Agent is the mapping model that but the observing and controlling object is formed set on the feeder line.
Wherein, said function Agent comprises the risk identification and controls Agent, optimized recognition and control Agent, fault analysis and processing Agent, trend calculating Agent, network topology Agent and represent Agent;
Said risk identification is used for risk identification and risk control with control Agent;
Said optimized recognition is used for optimized recognition and formulates optimization control scheme with control Agent;
Said fault analysis is used for analysis of failure, fault location and formulation fault recovery scheme with processing Agent;
Said trend is calculated Agent and is used for trend calculating;
Said network topology Agent is used for topological analysis;
The said Agent of representing handles said alliance external transactions and distributes alliance's internal task;
Wherein, said interface A gent comprises device A gent, terminal Agent and Management Agent;
Said device A gent is used for the parameter of display standard element type entity A gent;
Said terminal Agent is used for the parameter of display standard assembly type entity A gent;
Said Management Agent is used for Agent that automatic reparation withdraws from unusually, check the running status of all Agent, manually control the life cycle of all Agent.Life cycle comprises establishment, sleeps, wakes up, kills etc.
The present invention is based on a kind of implementation method based on the said system structure that another purpose provides, its improvements are that said method comprises the steps:
(1) entity A gent monitors the running state data of said controlled device in real time and judges running status; Carry out alternately through translation Agent and other system; Other system can be electrical power distribution automatization system etc., and its reciprocation is to obtain data with existing;
(2) entity A gent will need feedack and the request of seeking to assist to send to interface A gent;
(3) communicate with one another services request and the return results of response entity A gent between each function Agent;
(3) interface A gent obtains said feedack and the request of seeking to assist, and transmits yardman's steering order and the operational factor that the yardman is provided with;
(4) entity A gent receives yardman's instruction and needs the operational factor of adjustment and said controlled device is carried out parameter adjustment.
Wherein, said controlled device comprises switch, capacitor, reactor, distribution transforming, pressure regulator and distributed power source.
Wherein, the real-time data monitored of the said entity A gent of step (1) comprises data such as meritorious, idle, voltage and current.
Wherein, entity A gent seeks to assist the feedback information with the acquisition needs to function Agent;
It is the information of entity A gent failure judgement type and handling failure that entity A gent needs feedack;
Said fault type comprises real time fail and potential risk.
Wherein, the step of entity A gent processing real time fail comprises:
(i) gather the meritorious instantaneous value data of said controlled device, idle instantaneous value data, voltage instantaneous value data and real-time current Value Data;
(ii) judge said controlled device state,, otherwise finish if ERST is then carried out step (iii);
(iii) carrying out emergent management, is search condition with the state that obtains among the ii promptly, and the search rule storehouse obtains processing scheme;
(iv) step is (iii) if obtain scheme, and then the relevant Agent of request carries out respective operations, and this processing procedure finished after operation was accomplished; If do not obtain scheme or scheme by other Agent refusal, then carry out step (v);
(v) tissue depth is handled: the task division that said entity A gent will handle this unusual condition is the subtask and distributes to other Agent and accomplish that oneself then is responsible for control flow and amalgamation result; Tissue is meant that this Agent has the behavior logic of handling this situation, and it seeks the help of other Agent according to self-demand; The degree of depth with respect to promptly/fast processing for, refer to that it can use all operable any resources to obtain the most correct result, implementation procedure has been embodied in the behavior logic and has suffered, scheme achieves a solution.
Wherein, the step of entity A gent processing potential risk comprises:
1. obtain meritorious, idle, the voltage and current data of said controlled device; Said meritorious, idle, voltage and current data comprise historical data, real time data and predicted data;
2. judge according to data to have or not potential risk, carry out step 3. if having then, otherwise finish;
3. tissue depth is handled: the task division that said entity A gent will handle this unusual condition is the subtask and distributes to other Agent and accomplish that oneself then is responsible for control flow and amalgamation result; Tissue is meant that this Agent has the behavior logic of handling this situation, and it seeks the help of other Agent according to self-demand; The degree of depth with respect to promptly/fast processing for, refer to that it can use all operable any resources to obtain the most correct result, implementation procedure has been embodied in the behavior logic, scheme finally achieves a solution.
With the prior art ratio, beneficial effect of the present invention is:
The entity A gent structure of self-healing control system of the present invention through layering can integrated a large amount of power distribution network equipment; Equipment can be handled the abnormal conditions of self, has prevented to calculate the expansion of scale, thereby has improved the real-time response ability; Entity with guaranteed Scalable Performance separating of function; Management type interface A gent has realized fault tolerance, and the operation coupling of interface and entity has improved reusability and dirigibility, outside other software systems that translation Agent is integrated; This shows that this multi-agent system framework has solved the difficult problem that the exploitation of power distribution network self-healing control system faces.
Description of drawings
Fig. 1 is a power distribution network self-healing control system Agent type model provided by the invention.
Fig. 2 is a power distribution network self-healing control system entity A gent fundamental diagram provided by the invention.
Fig. 3 is a power distribution network self-healing control MAS structural model provided by the invention.
Fig. 4 is a power distribution network self-healing control system intelligence body interaction models provided by the invention.
Fig. 5 is a power distribution network self-healing control MAS framework model provided by the invention.
Fig. 6 is a power distribution network self-healing control MAS deployment model provided by the invention.
Embodiment
Do further to specify below in conjunction with the accompanying drawing specific embodiments of the invention.
Power distribution network self-healing control MAS is made up of entity A gent, function Agent, interface A gent and translation Agent four class members, and its illustraton of model is as shown in Figure 1; Entity A gent connects other system through translation Agent, connects the yardman through interface A gent, through the Processing tasks of function Agent, guarantees the normal operation of controlled device.The main analysis and Control power distribution network of entity A gent equipment, function Agent carry out systematic analysis and calculate, and interface A gent is the interface of yardman's operating system, and translation Agent is the bridge of linking up other distribution system.
Entity A gent is divided into element type and assembly type, but the measuring and controlling equipment corresponding element type in the power distribution network, the corresponding assembly type of unit of analysis commonly used; But a unit of analysis can comprise a lot of measuring and controlling equipments, also can comprise an a little unit of analysis, so assembly type also can become the element of other set.Element type entity A gent directly obtains equipment operating data, possesses the emergent management function, has the analyzing and processing logic; It is the assessment oneself state constantly, the risk that excavation possibly exist; If emergency processing is then carried out in unusual circumstance at once, protection equipment is not destroyed; If the emergent management result is undesirable or find potential risk, then the operation analysis processing logic organize the member of other system together the degree of depth deal with problems, keep the long-term normal operation of equipment.Assembly type entity A gent coordinates the relation between subordinate's intelligence body, does not participate in subordinate's internal data and calculates, and only is concerned about its affairs and state variation and coordinates control on this basis, thereby avoided the expansion of calculating scale.
Function Agent provides respective services, assists entity A gent to accomplish various analysis and Control tasks.A kind of function is as if multiple implementation method being arranged, the corresponding a kind of Agent of then a kind of method, alliance of Agent composition of these methods; Represent Agent by one in the alliance and focus on external affairs, internal affairs then handle for members by alliance's regular allocation.When certain function needed other functional support, its Agent then proposed services request, and its working method and entity A gent request service class are seemingly.
Interface A gent has three types: standard device corresponding equipment type mainly shows and device parameter and state is set; The terminal type of standard set mapping as yardman's control terminal, is the operating platform of numerous functions and controlling object; Handle the management type of MAS incident, the surveillance incident is handled the Agent abnormal problem, also can the person's of being scheduled direct control.An interface A gent need mate an application during system works, but the object that a kind of interface can be mated is not unique, otherwise an object also can corresponding multiple interface.
The corresponding a kind of translation Agent of external system, (Agent Communication Language ACL) changes translation Agent each other, two systems so Data transmission and information each other with its communication language and agent communication language.
The implementation method of the power distribution network self-healing control system of present embodiment comprises the steps:
(1) entity A gent monitors the running state data of said controlled device in real time and judges running status; Carry out alternately through translation Agent and other system; Other system can be electrical power distribution automatization system etc., and its reciprocation is to obtain data with existing;
(2) entity A gent will need feedack and the request of seeking to assist to send to interface A gent;
(3) communicate with one another services request and the return results of response entity A gent between each function Agent;
(3) interface A gent obtains said feedack and the request of seeking to assist, and transmits yardman's steering order and the operational factor that the yardman is provided with;
(4) entity A gent receives yardman's instruction and needs the operational factor of adjustment and said controlled device is carried out parameter adjustment.
, as shown in Figure 2 in power distribution network self-healing control system entity A gent work for two parts.Left side process flow diagram is an identification and the process of handling real time fail, and the right process flow diagram is an identification and the process of handling potential risk;
The step that entity A gent handles real time fail comprises:
(i) gather the meritorious instantaneous value data of said controlled device, idle instantaneous value data, voltage instantaneous value data and real-time current Value Data;
(ii) judge said controlled device state,, otherwise finish if ERST is then carried out step (iii);
(iii) carrying out emergent management, is search condition with the state that obtains among the ii promptly, and the search rule storehouse obtains processing scheme;
(iv) step is (iii) if obtain scheme, and then the relevant Agent of request carries out respective operations, and this processing procedure finished after operation was accomplished; If do not obtain scheme or scheme by other Agent refusal, then carry out step (v);
(v) tissue depth is handled; The task division that said entity A gent will handle this unusual condition is the subtask and distributes to other Agent and accomplish that oneself then is responsible for control flow and amalgamation result; Tissue is meant that this Agent has the behavior logic of handling this situation, and it seeks the help of other Agent according to self-demand; The degree of depth with respect to promptly/fast processing for, refer to that it can use all operable any resources to obtain the most correct result, implementation procedure has been embodied in the behavior logic, scheme finally achieves a solution.
The step that entity A gent handles potential risk comprises:
1. get the data such as meritorious, idle, voltage, electric current of said controlled device, it comprises historical, real-time and three aspect data prediction;
2. judge according to data to have or not potential risk, carry out step 3. if having then, otherwise finish;
3. tissue depth is handled: the task division that said entity A gent will handle this unusual condition is the subtask and distributes to other Agent and accomplish that oneself then is responsible for control flow and amalgamation result; Tissue is meant that this Agent has the behavior logic of handling this situation, and it seeks the help of other Agent according to self-demand; The degree of depth with respect to promptly/fast processing for, refer to that it can use all operable any resources to obtain the most correct result, implementation procedure has been embodied in the behavior logic, scheme finally achieves a solution.
Entity A gent circulates respectively and carries out two flow processs, and the time interval of troubleshooting process is shorter, and the time interval of risk control flow process is longer relatively.For accomplishing this process, the task that entity A gent bears has: the protection corresponding device is not destroyed, and keeps the equipment normal operating conditions, and the transmitting apparatus state is given the yardman, and the yardman can be provided with various parameters, assists other Agent to finish the work under the possible situation; Function Agent task is: allow the yardman that parameter and process object are set, self function service is provided, can seek other functional support; Interface A gent video data and information, the platform of yardman's edit instruction, selection scheme are provided, drawing up a plan for issues steering order; Translation Agent accomplishes the mutual conversion between general communication language and the ACL.
As shown in Figure 3 at power distribution network self-healing control MAS structural model, the Agent of entity type forms tree structure, but corresponding its leaf node of measuring and controlling equipment, leaf node extends intermediate node through mode shown in the figure, and numerous such nodes have constituted whole tree; Functionalities has two class members: function Agent and function alliance, and alliance externally is a black box, and representing Agent is that it links up inner unique passage; Terminal Agent is the center of interface group, can open other interface A gent through it, but opens the latter two not directly contacts; Translation Agent is corresponding one by one with outside other system.
As shown in Figure 4 at power distribution network self-healing control system intelligence body interaction models, 1. be between entity A gent and the interface A gent alternately, content mainly comprises equipment state and steering order; 2. being mutual between entity A gent and the function Agent, mainly is services request and result; 3. be mutual between the Agent of entity A gent and translation, comprise solicited message and return results; 4. be mutual between the entity A gent, in have data, state and scheme etc.; 5. be mutual between the function Agent, content is with 2.; Dotted line is the managerial mutual of interface A gent, and content comprises Agent affairs and treatment measures.Interactive task in the system comprises: the request that entity A gent will need feedack, seek to assist sends to interface A gent; Through translating the information that the Agent acquisition is wanted; Service through function Agent acquisition needs; Ask the assistance of other entity A gent, accept or refuse the assistance request of other entity A gent and carry out corresponding actions; Function Agent responds services request and the return results of entity A gent, responds services request and the return results of other function Agent, seeks service support to relevant other function Agent; Interface A gent obtains the feedback information that other Agent transmits, and other Agent transmission yardman's steering order, operational factor etc. are obtained the operation exception information of other Agent and done handled mutually; Translation Agent response translation request and return results.
As shown in Figure 5 at power distribution network self-healing control MAS structural model, it shows how Agent finds the process of the Agent that own required function can be provided.A1, A2, the prior issuing service of A3, when A4, A5, A6 etc. need a certain service at first search service obtain collaborationist's tabulation, then directly and the ISP obtain alternately need service.
As shown in Figure 6 at power distribution network self-healing control MAS deployment model, element type entity A gent is deployed on the equipment, and interface A gent is deployed on the control terminal, and function Agent, translation Agent and assembly type entity A gent are deployed on the server.Each Agent has relational database and the XML file of oneself, relational database storage voltage, electric current, real time data such as meritorious, idle, static datas such as XML file storage voltage limit value, current limit, time delay.
In an embodiment, each Agent is refined as concrete role according to the device type in the power distribution network.Element type entity A gent has switch Agent, electric capacity Agent, reactance Agent, transformer Agent, pressure regulator Agent and DG Agent.Element type entity A gent is the software model of switch, and switchtype comprises wiretap, block switch, interconnection switch etc.; Electric capacity Agent is the software model of capacitor; Reactance Agent is the software model of reactor; Transformer Agent is the software model of transformer, and transformer comprises main transformer and distribution transforming; Pressure regulator Agent is the software model of pressure regulator; DG Agent is the software model of various distributed power sources.Element type entity A gent is as the software model of controlled device; It obtains the measurement data of this equipment according to the distribution demand, and utilization distribution system analysis computing method are confirmed the residing ambient condition of this equipment, control the variation that this device motion conforms it.Assembly type entity A gent mainly is feeder line Agent; Feeder line Agent is the software model that but all observing and controlling objects are formed set on the feeder line, and these objects comprise various switches, capacitor, reactor, distribution transforming, pressure regulator, distributed power source etc.The risky identification of function Agent is calculated Agent, network topology Agent, is represented Agent with control Agent, optimized recognition and control Agent, fault analysis and processing Agent, trend.The risk identification is carried out risk identification and risk control with control Agent; Optimized recognition is optimized identification and formulates optimization control scheme with control Agent; Fault analysis and processing Agent analysis of failure, fault location, formulation fault recovery scheme; Trend is calculated Agent and is responsible for trend calculating, and network topology Agent carries out topological analysis, represents Agent and handles alliance's external transactions, distributes alliance's internal task.Interface A gent has device A gent, terminal Agent and Management Agent; Device A gent is the interface of each leading element type entity A gent, and terminal Agent is the interface of each regular set mould assembly entity A gent, and Management Agent is the system control terminal interface with MAS management function.Translation Agent is corresponding one by one with other outside system.
In an embodiment, the system interaction model still has type feature, is that unit carries out modeling with the type therefore, and the interaction protocol standard of use is FIPA (The Foundation for intelligent Physical Agents).What entity A gent carried out comprises alternately: the first, and issuing service, when initialization, mutual as promoter and DF (Directory Facilitator).The second, give notice, when oneself state changes, mutual with related other entity A gent as the promoter.The 3rd; Send instruction/negotiation/request; When making the scheme that needs other Agent to assist, run into own indeterminable problem, need functional support or need know relevant Agent last state, as promoter and last/in/the entity A gent of subordinate, function Agent or interface A gent are mutual.The 4th, search service, when needing a certain service, mutual as promoter and DF.The 5th, response instruction/negotiation/request is made appropriate reaction as the respondent.The 6th, send state, need when yardman's feedback states, comprise Fixed Time Interval and special event etc., mutual as promoter and interface A gent.Function Agent has alternately: the first, and allocating task, when obtaining task, mutual as promoter and the built-in function Agent of alliance.The second, return results is made appropriate reaction as the respondent.Interface A gent has alternately: the first, send instructions down, the yardman revises parameter, when drawing up a plan for, as the promoter with specify Agent mutual.The second, receive status is as respondent's video data information.Translation Agent returns translation result as the respondent to the requestor.
In an embodiment, the Agent behavior still has type feature, is that unit carries out modeling with the type therefore.The behavior of entity A gent comprises: the first, and the initialization behavior, self initialization or a behavior of loading new object mainly are written into environment (electrical network result, parameter) information, rule base, knowledge base and issuing service.The second, the notice behavior, corresponding parameter is mainly upgraded in a behavior when state changes, and sends new state and gives relevant Agent.The 3rd, state identification and control behavior, certain hour circulation behavior at interval is responsible for reading the real-time power network service data, judges electric network state fast, and precarious position is made fast processing.The 4th, hidden danger is got rid of behavior, and the hidden danger processing logic of self is used in certain hour circulation behavior at interval, organizes relevant Agent collaborative work, finds jointly, analyzes and eliminating hidden danger.The 5th, obtain the state behavior, a behavior in the time of need knowing correlation behavior, request target Agent notifies current last state.The 6th, co-operating behavior, a behavior when carrying into execution a plan, the collaborative complete operation of all Agent in contact and the coordinate scheme.The 7th, the response request behavior, the circulation behavior of message activation is obtained message and is replied according to oneself state.The 8th, send the state behavior, a behavior during special event, transmit status is given interface A gent, makes the yardman understand equipment state.The behavior of function Agent has: the first, and the response request behavior, task requests is obtained in the circulation behavior of message activation, and it is distributed to the inner member of alliance.The second, a behavior behind the result ask and is obtained in the answer behavior, result of calculation is sent to ask Agent.The behavior of interface A gent is: the first, and the accepting state behavior, the circulation behavior of message activation obtains equipment state, and it is shown on the interface.The second, issue the instruction behavior, the behavior that the yardman triggers sends to target Agent with steering order, operational factor etc.The translational action of translation Agent, translation duties is accepted in the circulation behavior of message activation, and translation result is beamed back the requestor.
The function of Agent all can realize through corresponding program among the present invention.
Should be noted that at last: above embodiment is only in order to technical scheme of the present invention to be described but not to its restriction; Although the present invention has been carried out detailed explanation with reference to the foregoing description; Under the those of ordinary skill in field be to be understood that: still can specific embodiments of the invention make amendment or be equal to replacement; And do not break away from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (18)
1. a power distribution network self-healing control system is characterized in that, said system comprises entity A gent, function Agent, interface A gent and translation Agent; Said entity A gent comprises element type entity A gent and assembly type entity A gent;
Said element type entity A gent is embedded in the controlled device; Said interface A gent embeds in the control terminal; Said assembly type entity A gent, function Agent and translation Agent embed in the server;
Said assembly type entity A gent connects other system through translation Agent, connects the yardman through interface A gent, through the Processing tasks of function Agent, guarantees the normal operation of controlled device.
2. power distribution network self-healing control system as claimed in claim 1 is characterized in that, the corresponding said controlled device of said element type entity A gent, said assembly type entity A gent correspondence analysis unit.
3. power distribution network self-healing control system as claimed in claim 2 is characterized in that said element type entity A gent obtains the service data of said equipment under test, when data occur then carrying out emergency processing when unusual.
4. power distribution network self-healing control system as claimed in claim 2 is characterized in that, said assembly type entity A gent is used to coordinate relation, the monitored state variation between subordinate's intelligence body and coordinate control.
5. power distribution network self-healing control system as claimed in claim 1 is characterized in that, said function Agent is used to assist said entity A gent to accomplish control task; The corresponding a kind of function implementation method of said function Agent; The Agent of same said function different implementation methods constitutes an alliance; Represent Agent by one in the alliance and handle external affairs, internal affairs are then distributed to remaining function Agent by alliance's internal mechanism and are handled.
6. power distribution network self-healing control system as claimed in claim 1 is characterized in that,
Said interface A gent comprises: the management type interface A gent of the terminal type interface A gent of standard device corresponding equipment type interface A gent, standard set mapping and processing MAS incident;
Said equipment type interface A gent is used to be provided with and show the parameter and the state of said equipment under test;
Said terminal type interface A gent is used to provide yardman's control terminal;
The incident that said management type interface A gent is used to keep watch on said system is handled all Agent abnormal problems.
7. power distribution network self-healing control system as claimed in claim 1 is characterized in that, said translation Agent is used for the conversion between external system information and the said intelligent body information.
8. power distribution network self-healing control system as claimed in claim 1 is characterized in that each Agent is provided with relational database and XML file;
Said relational database is used for storage voltage value, current value, meritorious value and idle value; Said magnitude of voltage, current value, meritorious value and idle value comprise instantaneous value and history value;
Said XML file is used for storage voltage limit value, current limit, line loss limit value, power factor limit value and time delay.
9. like claim 2 or 3 arbitrary described power distribution network self-healing control system, it is characterized in that said element type entity A gent comprises switch Agent, electric capacity Agent, reactance Agent, transformer Agent, pressure regulator Agent and DG Agent;
Said switch Agent is the mapping model of switch;
Said electric capacity Agent is the mapping model of capacitor;
Said reactance Agent is the mapping model of reactor;
Said transformer Agent is the mapping model of transformer;
Said pressure regulator Agent is the mapping model of pressure regulator;
Said DGAgent is the mapping model of distributed power source.
10. power distribution network self-healing control system as claimed in claim 4 is characterized in that, said assembly type entity A gent comprises feeder line Agent; Said feeder line Agent is the mapping model that but the observing and controlling object is formed set on the feeder line.
11. like claim 1 or 5 arbitrary described power distribution network self-healing control system; It is characterized in that said function Agent comprises the risk identification and controls Agent, optimized recognition and control Agent, fault analysis and processing Agent, trend calculating Agent, network topology Agent and represent Agent;
Said risk identification is used for risk identification and risk control with control Agent;
Said optimized recognition is used for optimized recognition and formulates optimization control scheme with control Agent;
Said fault analysis is used for analysis of failure, fault location and formulation fault recovery scheme with processing Agent;
Said trend is calculated Agent and is used for trend calculating;
Said network topology Agent is used for topological analysis;
The said Agent of representing handles said alliance external transactions and distributes alliance's internal task.
12., it is characterized in that said interface A gent comprises device A gent, terminal Agent and Management Agent like claim 1 or 6 arbitrary described power distribution network self-healing control system;
Said device A gent is used for the parameter of display standard element type entity A gent;
Said terminal Agent is used for the parameter of display standard assembly type entity A gent;
Said Management Agent is used for Agent that automatic reparation withdraws from unusually, check the running status of all Agent, manually control the life cycle of all Agent.
13. the implementation method based on the arbitrary described system of claim 1-12 is characterized in that said method comprises the steps:
(1) entity A gent monitors the running state data of said controlled device in real time and judges running status; Carry out alternately through translation Agent and other system;
(2) entity A gent will need feedack and the request of seeking to assist to send to interface A gent;
(3) communicate with one another services request and the return results of response entity A gent between each function Agent;
(3) interface A gent obtains said feedack and the request of seeking to assist, and transmits yardman's steering order and the operational factor that the yardman is provided with;
(4) entity A gent receives yardman's instruction and needs the operational factor of adjustment and said controlled device is carried out parameter adjustment.
14. implementation method as claimed in claim 13 is characterized in that, said controlled device comprises switch, capacitor, reactor, distribution transforming, pressure regulator and distributed power source.
15. implementation method as claimed in claim 13 is characterized in that, the real-time data monitored of the said entity A gent of step (1) comprises meritorious, idle, voltage and current.
16. implementation method as claimed in claim 13 is characterized in that, entity A gent seeks to assist the feedback information with the acquisition needs to function Agent;
It is the information of entity A gent failure judgement type and handling failure that entity A gent needs feedack;
Said fault type comprises real time fail and potential risk.
17. implementation method as claimed in claim 16 is characterized in that, the step that entity A gent handles real time fail comprises:
(i) gather the meritorious instantaneous value data of said controlled device, idle instantaneous value data, voltage instantaneous value data and real-time current Value Data;
(ii) judge said controlled device state,, otherwise finish if ERST is then carried out step (iii);
(iii) carry out emergent management;
(iv) step is (iii) if obtain scheme, and then the relevant Agent of request carries out respective operations, and this processing procedure finished after operation was accomplished; If do not obtain scheme or scheme by other Agent refusal, then carry out step (v);
(v) tissue depth is handled, and scheme achieves a solution.
18. implementation method as claimed in claim 16 is characterized in that, the step that entity A gent handles potential risk comprises:
1. obtain meritorious, idle, the voltage and current data of said controlled device; Said meritorious, idle, voltage and current data comprise historical data, real time data and predicted data;
2. judge according to data to have or not potential risk, carry out step 3. if having then, otherwise finish;
3. tissue depth is handled, and scheme achieves a solution.
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