CN104932304A - Micro-grid multi-agent control system and method - Google Patents
Micro-grid multi-agent control system and method Download PDFInfo
- Publication number
- CN104932304A CN104932304A CN201510285014.7A CN201510285014A CN104932304A CN 104932304 A CN104932304 A CN 104932304A CN 201510285014 A CN201510285014 A CN 201510285014A CN 104932304 A CN104932304 A CN 104932304A
- Authority
- CN
- China
- Prior art keywords
- micro
- agent
- unit
- capacitance sensor
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a micro-grid multi-agent control system and method. The system comprises a public power grid module, a micro-grid control module, a local power grid control module and component and part modules. The micro power sources in the micro-grid can be effectively managed by the system, and multiple types of energy of the power grid can be scheduled so that intelligent operation of the micro-grid can be realized, and safe, stable and economical operation of the intelligent power grid can be guaranteed.
Description
Technical field
The invention belongs to power grid control field, especially a kind of MAS control system of micro-capacitance sensor and method.
Background technology
Along with the exhaustion increasingly of fossil energy, and country and society but constantly increase energy demand, and the novel energies such as nuclear energy receive restriction to a certain degree because of various reasons, like this, the problem that energy demand problem one of becoming that current China faces is very severe.Because electric energy has clean, efficient feature, so regenerative resource and some novel energies are converted into a kind of effective way that electric energy is reusing of energy source.
Micro-capacitance sensor technology is that a kind of with the technology of micro battery generating, it is by some generation assets in certain region, forms a micro power network to customer power supply, material is thus formed the electric system that a micro-capacitance sensor and bulk power grid run jointly.Compare with bulk power grid, micro-capacitance sensor and bulk power grid run jointly can transfer various types of generating set in electrical network, can effectively alleviate power supply pressure, improve the service quality of power supply and the performance driving economy of system when peak of power consumption.Therefore, the research carrying out micro-capacitance sensor technology is significant.One of difficult point in micro-capacitance sensor research is exactly the control problem of micro-capacitance sensor.But existing control method can not comprehensively realize above guarantee, all with certain limitation.
Application number is that the patent of " 201210035524.5 " discloses a kind of micro-capacitance sensor and control method thereof and device, the control method of this invention comprises: the value obtaining predetermined running parameter in the objective function of micro-capacitance sensor, wherein, objective function is corresponding with the operating cost of micro-capacitance sensor, is made up of the hybrid operation of multiple operational factor; Obtain bound for objective function, wherein, constraint condition comprises environmental constraint; According to constraint condition and the operational parameter value got, when calculating target function value is minimum, the value of unknown operational factor in objective function, to obtain the optimal value of micro-capacitance sensor operational factor; And control micro-capacitance sensor runs with the optimal value of the value of predetermined running parameter and unknown operational factor.Financial cost when the method can reduce operation, but when getting parms few poor effect.Application number is that the patent of " 201310577925.8 " discloses a kind of micro-grid operational control method based on multiple agent, the Primary Reference index that this system is run using electricity price as micro-capacitance sensor, renewable energy power generation device, load, steam turbine, battery, controller etc. in micro-capacitance sensor are abstracted into intelligent body one by one respectively, thus form the multi-agent system of a dispersion.The local historical data of this systematic collection, if when local weather condition is not good, Systematical control is undesirable.
Summary of the invention
The object of this invention is to provide a kind of MAS control system and method for micro-capacitance sensor, by this system and method, effectively can manage the micro battery in micro-capacitance sensor, the various energy resources of electrical network is dispatched, thus realize the intelligent operation of micro-capacitance sensor, ensure smart grid security, stablize, run economically.
To achieve these goals, the invention provides a kind of MAS control system of micro-capacitance sensor, it is characterized in that comprising as lower module:
1, public electric wire net module, this module provides the integrated interface of public electric wire net unit and micro-capacitance sensor unit;
2, micro-capacitance sensor control module, this module carries out management and dispatching for system, provides function grid-connected with public electric wire net unit, carries out monitoring and management simultaneously to local control module, and contacts with other micro-capacitance sensor unit;
3, local power grid control module, this module manages the load unit of this locality, storage unit and generator unit, obtains local voltage, electric current, energy storage, generating information, and control overhead cuts off, generator unit power generation situation;
4, multiple component module, this module is the intelligent body of multiple components and parts unit, comprises load unit module, storage unit module and power generating modules.
Present invention also offers a kind of MAS control method of micro-capacitance sensor, it is characterized in that comprising following steps:
(1) public electric wire net unit Agent issues an order to micro-capacitance sensor control module Agent, wherein public electric wire net unit Agent is the intelligent body of public electric wire net unit, effect is to provide the integrated interface of public electric wire net unit and micro-capacitance sensor unit, is assigned a task by public electric wire net interface to micro-capacitance sensor simultaneously;
(2) micro-capacitance sensor control module Agent receives superior instructions, carry out task process, wherein micro-capacitance sensor control module Agent is the intelligent body of power grid control unit, this unit is after receiving higher level's public electric wire net unit Agent instruction, be responsible for the interpolation to the Agent group of micro-capacitance sensor control agents tissue, delete and organize and coordinate function, realize the optimum management of system, and from each local control agents obtaining information, the condition monitoring of feasible region micro-capacitance sensor, Performance Evaluation, fault diagnosis and Based Intelligent Control;
(3) local power grid control module Agent receives superior instructions, check power generation situation, wherein local power grid control module Agent is the intelligent body of local power grid control module, this unit is after receiving higher level's micro-capacitance sensor control module Agent instruction, be responsible for control load cut-out, generator unit power generation situation, be made up of communication unit, knowledge base, database, reasoning element, data acquisition unit, performance element;
(4) components and parts unit Agent receives superior instructions, energy Agent and loaded Ag ent and generating Agent is monitored, wherein components and parts unit Agent is the intelligent body of multiple components and parts unit, this unit is after receiving higher level's local power grid control module Agent instruction, load unit Agent administrative loads makes it to become a controllable, generating Agent is based on the information of local measurement and manage micro battery with other Agent communications, the decision energy will be supplied to the quantity of corresponding micro battery, the storage storing Agent energy management is based on the metrical information of this locality and the communication with other energy Agent and loaded Ag ent.
The invention has the beneficial effects as follows: described system effectively can manage the micro battery in micro-capacitance sensor, dispatches the various energy resources of electrical network, thus realizes the intelligent operation of micro-capacitance sensor, ensure smart grid security, stablize, run economically.
Agent is one and has adaptivity and intelligent software entity, and energy representative of consumer or other program, complete a job in the mode of taking the initiative in offering a hand.Agent at least should possess the determinant attribute of following several respects:
1, independence: Agent has the computational resource that belongs to himself and local in the mechanism of self Behavior-Based control, can without in extraneous direct operated situation, according to its internal state and (outside) environmental information of perceiving, determine and control the behavior of self.
2, interactivity: the mutual of various ways can be carried out with other Agent, can effectively with other Agent collaborative works.
3, reactive: the environment of energy residing for perception, and in good time reaction is made to dependent event.
4, initiative: promise can be followed and to take the initiative action, show object-oriented behavior.
5, reasoning and planning ability: Agent have learning knowledge and experience and carry out the ability of reasoning and the intelligent computation of being correlated with.
Accompanying drawing explanation
Fig. 1 is a kind of MAS control system block diagram of micro-capacitance sensor;
Fig. 2 is a kind of MAS control method block diagram of micro-capacitance sensor;
Fig. 3 is the process flow diagram based on MAS control micro-capacitance sensor.
Embodiment
As shown in Figure 1, present system comprises public electric wire net module, micro-capacitance sensor control module, local power grid control module, component module.
Public electric wire net module S101, this module provides the integrated interface of public electric wire net unit and micro-capacitance sensor unit.
Micro-capacitance sensor control module S102, this module carries out management and dispatching for system, provides function grid-connected with public electric wire net unit, carries out monitoring and management simultaneously to local control module, and contacts with other micro-capacitance sensor unit.
Local power grid control module S103, this module manages the load unit of this locality, storage unit and generator unit, obtains local voltage, electric current, energy storage, generating information etc., control overhead cut-out, generator unit power generation situation etc.
Multiple component module S104, this module is the intelligent body of multiple components and parts unit, comprises load unit module, storage unit module and power generating modules.
As shown in Figure 2, control method comprises the following steps:
Step S201 is the Agent of public electric wire net unit, is the intelligent body of public electric wire net unit, provides the integrated interface of public electric wire net unit and micro-capacitance sensor unit, assigned a task simultaneously by public electric wire net interface to micro-capacitance sensor.
Step S202 is the Agent of micro-capacitance sensor control module, is the intelligent body of power grid control unit, this unit be responsible for the Agent group to micro-capacitance sensor control agents tissue interpolation, delete and organize and coordinate function, realize the optimum management of system.And from each local control agents obtaining information, the condition monitoring of feasible region micro-capacitance sensor, Performance Evaluation, fault diagnosis and Based Intelligent Control.
Step S203 is the Agent of local power grid control module, for the intelligent body of local power grid control module, load control load cuts off, generator unit power generation situation, is made up of communication unit, knowledge base, database, reasoning element, data acquisition unit, performance element etc.
Step S204 is multiple components and parts unit Agent, is the intelligent body of multiple components and parts unit, comprises load unit, storage unit and generator unit.Load unit Agent administrative loads makes it to become a controllable, and energy Agent is based on the information of local measurement and manages micro battery with other Agent communications.The decision energy will be supplied to corresponding micro battery by Agent.The storage of energy storage Agent energy management is based on the metrical information of this locality and the communication with other energy Agent and loaded Ag ent.
As shown in Figure 3, idiographic flow is as follows:
Flow process starts from step S301;
In step S302, collect intelligent body command information.Micro-capacitance sensor control module Agent, according to lower floor Agent information and last layer Agent instruction acquisition information, comprises the information of all Agent.Communication mode is that local control agents makes response when local control agents receives the message of micro-capacitance sensor control agents time;
In step S303, judge whether superior instructions information;
If the result of S303 is "Yes", enter step S304, if the result of S303 is "No", enter step S305;
In step S304, upgrade intelligent body command information;
In step S305, intelligent body command information is constant;
Be information adjustment in step S306, by judging whether the information of collection comes condition monitoring, the Performance Evaluation of feasible region micro-capacitance sensor extremely, then performs MAS control, coordinates and manages bottom components and parts Agent in micro-capacitance sensor;
Enter step S307, flow process terminates.
Claims (6)
1. a MAS control system for micro-capacitance sensor, is characterized in that comprising as lower module:
Public electric wire net module, this module provides the integrated interface of public electric wire net unit and micro-capacitance sensor unit;
Micro-capacitance sensor control module, this module carries out management and dispatching for system, provides function grid-connected with public electric wire net unit, carries out monitoring and management simultaneously to local control module, and contacts with other micro-capacitance sensor unit;
Local power grid control module, this module manages the load unit of this locality, storage unit and generator unit, obtains local voltage, electric current, energy storage, generating information, and control overhead cuts off, generator unit power generation situation;
Multiple component module, this module is the intelligent body of multiple components and parts unit, comprises load unit module, storage unit module and power generating modules.
2. the MAS control method of a kind of micro-capacitance sensor according to claim 1, is characterized in that comprising the following steps:
(1) public electric wire net unit Agent issues an order to micro-capacitance sensor control module Agent;
(2) micro-capacitance sensor control module Agent receives superior instructions, carries out task process;
(3) local power grid control module Agent receives superior instructions, checks power generation situation;
(4) components and parts unit Agent receives superior instructions, monitors energy Agent and loaded Ag ent and generating Agent.
3. the MAS control method of a kind of micro-capacitance sensor according to claim 2, it is characterized in that: described public electric wire net unit Agent issues an order to micro-capacitance sensor control module Agent, wherein public electric wire net unit Agent is the intelligent body of public electric wire net unit, effect is to provide the integrated interface of public electric wire net unit and micro-capacitance sensor unit, is assigned a task by public electric wire net interface to micro-capacitance sensor simultaneously.
4. the MAS control method of a kind of micro-capacitance sensor according to claim 2, it is characterized in that, described micro-capacitance sensor control module Agent receives superior instructions, carry out task process, wherein micro-capacitance sensor control module Agent is the intelligent body of power grid control unit, this unit is after receiving higher level's public electric wire net unit Agent instruction, be responsible for the interpolation to the Agent group of micro-capacitance sensor control agents tissue, delete and organize and coordinate function, realize the optimum management of system, and from each local control agents obtaining information, the condition monitoring of feasible region micro-capacitance sensor, Performance Evaluation, fault diagnosis and Based Intelligent Control.
5. a kind of micro-capacitance sensor MAS control method according to claim 2, it is characterized in that: described local power grid control module Agent receives superior instructions, check power generation situation, wherein local power grid control module Agent is the intelligent body of local power grid control module, this unit is after receiving higher level's micro-capacitance sensor control module Agent instruction, be responsible for control load cut-out, generator unit power generation situation, be made up of communication unit, knowledge base, database, reasoning element, data acquisition unit, performance element.
6. the MAS control method of a kind of micro-capacitance sensor according to claim 2, it is characterized in that: described components and parts unit Agent receives superior instructions, energy Agent and loaded Ag ent and generating Agent is monitored, wherein components and parts unit Agent is the intelligent body of multiple components and parts unit, this unit is after receiving higher level's local power grid control module Agent instruction, load unit Agent administrative loads makes it to become a controllable, generating Agent is based on the information of local measurement and manage micro battery with other Agent communications, the decision energy will be supplied to corresponding micro battery, the storage storing Agent energy management is based on the metrical information of this locality and the communication with other energy Agent and loaded Ag ent.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510285014.7A CN104932304A (en) | 2015-05-29 | 2015-05-29 | Micro-grid multi-agent control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510285014.7A CN104932304A (en) | 2015-05-29 | 2015-05-29 | Micro-grid multi-agent control system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104932304A true CN104932304A (en) | 2015-09-23 |
Family
ID=54119517
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510285014.7A Pending CN104932304A (en) | 2015-05-29 | 2015-05-29 | Micro-grid multi-agent control system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104932304A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105391179A (en) * | 2015-12-23 | 2016-03-09 | 南京邮电大学 | Multi-agent based annular direct current microgrid coordination control method |
| CN113487207A (en) * | 2021-07-16 | 2021-10-08 | 重庆大学 | Multi-target energy management system in multi-energy community based on multi-agent system optimal user cluster |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008301641A (en) * | 2007-06-01 | 2008-12-11 | Meidensha Corp | System and method for controlling distributed power source |
| CN101510686A (en) * | 2009-03-26 | 2009-08-19 | 上海交通大学 | Micro electric network coordination control system based on multi-proxy technology |
| CN101777769B (en) * | 2010-03-24 | 2012-06-20 | 上海交通大学 | Multi-agent optimized coordination control method of electric network |
| CN103001225A (en) * | 2012-11-14 | 2013-03-27 | 合肥工业大学 | MAS-based (multi-agent system) multi-microgrid energy management system simulation method |
| CN103229380A (en) * | 2010-10-22 | 2013-07-31 | 佩特拉太阳能公司 | Method and system facilitating control strategy for power electronics interface of distributed generation resources |
| CN103647351A (en) * | 2013-12-18 | 2014-03-19 | 江苏省电力设计院 | Multi-agent and heterogeneous communication technology based micro-grid intelligent measuring and controlling terminal and method |
| CN103730891A (en) * | 2013-11-18 | 2014-04-16 | 芜湖大学科技园发展有限公司 | Micro-grid operational control method based on multiple agents |
| CN104362636A (en) * | 2014-11-11 | 2015-02-18 | 云南大学 | Microgrid measurement and control system based on IP (internet protocol) and multi-agent technology |
-
2015
- 2015-05-29 CN CN201510285014.7A patent/CN104932304A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008301641A (en) * | 2007-06-01 | 2008-12-11 | Meidensha Corp | System and method for controlling distributed power source |
| CN101510686A (en) * | 2009-03-26 | 2009-08-19 | 上海交通大学 | Micro electric network coordination control system based on multi-proxy technology |
| CN101777769B (en) * | 2010-03-24 | 2012-06-20 | 上海交通大学 | Multi-agent optimized coordination control method of electric network |
| CN103229380A (en) * | 2010-10-22 | 2013-07-31 | 佩特拉太阳能公司 | Method and system facilitating control strategy for power electronics interface of distributed generation resources |
| CN103001225A (en) * | 2012-11-14 | 2013-03-27 | 合肥工业大学 | MAS-based (multi-agent system) multi-microgrid energy management system simulation method |
| CN103730891A (en) * | 2013-11-18 | 2014-04-16 | 芜湖大学科技园发展有限公司 | Micro-grid operational control method based on multiple agents |
| CN103647351A (en) * | 2013-12-18 | 2014-03-19 | 江苏省电力设计院 | Multi-agent and heterogeneous communication technology based micro-grid intelligent measuring and controlling terminal and method |
| CN104362636A (en) * | 2014-11-11 | 2015-02-18 | 云南大学 | Microgrid measurement and control system based on IP (internet protocol) and multi-agent technology |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105391179A (en) * | 2015-12-23 | 2016-03-09 | 南京邮电大学 | Multi-agent based annular direct current microgrid coordination control method |
| CN113487207A (en) * | 2021-07-16 | 2021-10-08 | 重庆大学 | Multi-target energy management system in multi-energy community based on multi-agent system optimal user cluster |
| CN113487207B (en) * | 2021-07-16 | 2022-06-28 | 重庆大学 | Multi-target energy management system in multi-energy community based on multi-agent system optimal user cluster |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Howell et al. | Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources | |
| Malik et al. | A review: Agents in smart grids | |
| CN105048457B (en) | A kind of intelligent micro-grid electric energy management system | |
| Devanand et al. | OntoPowSys: A power system ontology for cross domain interactions in an eco industrial park | |
| Hou et al. | A real-time rolling horizon chance constrained optimization model for energy hub scheduling | |
| CN105553103B (en) | A kind of region active distribution network Energy Management System and method | |
| Ebadi et al. | Techno-economic evaluation of transportable battery energy storage in robust day-ahead scheduling of integrated power and railway transportation networks | |
| CN110114766A (en) | The method that the existing power grid of distribution electric energy is constructed | |
| CN104124704B (en) | The management process of distributed power source and micro-net main electrical network of access | |
| CN105427063A (en) | Micro-grid scheduling decision method and micro-grid scheduling decision system | |
| Raju et al. | Iot based autonomous demand side management of a micro-grid using arduino and multi agent system | |
| Du et al. | A microgrid energy management system with demand response | |
| Kumar et al. | An optimized framework of the integrated renewable energy and power quality model for the smart grid | |
| Gao et al. | Stochastic optimization for energy economics and renewable sources management: A case study of solar energy in digital twin | |
| CN104932304A (en) | Micro-grid multi-agent control system and method | |
| Kumar et al. | Optimal energy management and sizing of a community smart microgrid using demand side management with load uncertainty | |
| Reiman et al. | App deconfliction: Orchestrating distributed, multi-agent, multi-objective operations for power systems | |
| Chinthavali et al. | Solid state power substations (SSPS): A multi-hierarchical architecture from substation to grid edge | |
| CN105119271B (en) | Energy management and control system and the method for tree are allocated based on two-dimentional bidirectional energy | |
| Shulyma et al. | The features of the smart microgrid as the object of information modeling | |
| Ganesan et al. | Artificial cell swarm optimization and vapor liquid equilibrium for energy management system in smart grid | |
| Barakat et al. | JADE-based multi-agent decentralized energy management system of a hybrid marine-hydrogen power generation system | |
| Han et al. | Hierarchical Agent‐Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES | |
| Bendriss et al. | An intelligent power distribution management with dynamic selection in smart building based on prosumers classification and an intelligent controller | |
| Roche | Agent-Based Architectures and Algorithms for Energy Management in Smart Grids. Application to Smart Power Generation and Residential Demand Response |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150923 |
|
| WD01 | Invention patent application deemed withdrawn after publication |