CN204992768U - Microgrid distributed control system of community - Google Patents
Microgrid distributed control system of community Download PDFInfo
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- CN204992768U CN204992768U CN201520621242.2U CN201520621242U CN204992768U CN 204992768 U CN204992768 U CN 204992768U CN 201520621242 U CN201520621242 U CN 201520621242U CN 204992768 U CN204992768 U CN 204992768U
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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Abstract
The utility model relates to a microgrid control technique, specifically speaking is the little electric wire netting distributed control system of a community, including consecutive unit control system, garden management system, data service ware system and network service system, wherein: unit monitored control system: be responsible for carrying out real time monitoring to field device, garden management system: be responsible for the coordinated control and operation optimization of the little electric wire netting in whole garden, the data service system: data storage, management and the maintenance of the system of being responsible for, the network service system: be responsible for carrying on the network security of the data communication and the system that guarantees with the outer net, the utility model discloses can realize: comprehensive monitoring function, regional operation control function, redundant function, fault detection and protect function, power balance control function, still can realize little administration of power networks control of wisdom community and the control of intelligent building power consumption demand side.
Description
Technical field
The present invention relates to a kind of microgrid control technology, specifically, is a kind of community micro-capacitance sensor dcs.
Background technology
International or the domestic intelligent control system product all not having ripe micro-capacitance sensor at present, substantially be all in original bulk power grid control system or Process Control System, as general field bus control system, DCS and PLC control system basis on carry out improve formed demonstration system, and be applicable to micro-capacitance sensor control Intelligent controlled release and optimized algorithm be substantially also in conceptual phase.We realizes the demand of Based Intelligent Control according to micro-capacitance sensor, and on the basis of the product such as DLCS3000e, real-time data base, Digital Power Plant Optimal Control System, energy conservation platform, remote data acquisition security terminal, the enterprise information management system, intelligent managing and control system of independent research, advantage integrates out community's microgrid dcs with domestically leading level.Intelligent micro-grid exactly by defeated to renewable energy power generation technology (photovoltaic generation, wind power generation, biomass energy, tidal energy etc.), Intelligent Energy managing and control system and intelligent DC, join, user's request side, Novel community direct current network that accumulate infrastructure and intelligent DC load are formed, it has improves distributed energy efficiency, the safety and reliability improving power supply, the electric energy loss reducing ac converter, reduces the multiple advantages such as user power utilization in impact on environment, feasible region is self-supporting.
Summary of the invention
The present invention, in order to realize above technique effect, provides a kind of piconet controller that can carry out distributed AC servo system in community.
Be below concrete technical scheme: a kind of community microgrid dcs, comprise the unit control system, garden management system, the data server System and Network service system that are connected successively; Wherein: unit monitors system: be responsible for monitoring in real time field apparatus; Garden management system: cooperation control and the running optimizatin of being responsible for whole garden micro-capacitance sensor; Data service system: the data being responsible for system store, management and utilization; Network service system: be responsible for carrying out data communication with outer net and ensureing the network security of system;
Wherein said network service system comprises external network system and wireless telecommunication system, described data service system comprises data server, performs terminal and switch, described garden management system comprises monitoring of tools and management equipment, energy management system and video server, and described unit monitors system comprises monitoring module and video monitoring equipment;
Wherein wireless telecommunication system is connected by one-way data connecting bridge with data server respectively with external network system, wherein data server is connected with video server, energy management system by Industrial Ethernet, and wherein video server is connected with watch-dog by Industrial Ethernet; Execution terminal wherein in data service system is connected with management system, energy management system, video server with monitoring of tools by Industrial Ethernet with interchanger; Monitoring module wherein in unit monitors system by the data upload that detects to Industrial Ethernet.
Further, monitoring module comprises photovoltaic monitoring module, wind-powered electricity generation monitoring module, CHP monitoring module, earth source heat pump monitoring module, gas fired boiler module, energy storage monitoring module, and wherein the data collected to be uploaded in energy management system by Industrial Ethernet and to preserve by individual monitoring module.
Further, video monitoring equipment comprises video and image capture device, screen distributor, DVR, monitor, display wall, and wherein the video collected and view data are uploaded in video server by Industrial Ethernet by each equipment.
Further, external network system comprises external network server and portal management computer, and wherein external network server is connected by TPC/IP framework with network information computer; Described wireless telecommunication system comprises wireless communication server and intelligent terminal, wherein intelligent terminal comprises smart mobile phone, notebook computer, wherein wireless communication server is connected with smart mobile phone by GPRS/3G transmission mode, is connected with notebook computer by WI-FI transmission mode.
Further, external network server to be connected with data server by one-way data bridger by TPC/IP communication framework; Described wireless communication server is by TPC/IP communication pattern and be connected with data server by one-way data bridger.
Further, EMS is a kind of system be optimized control system by load and generated power forecasting algorithm and running optimizatin dispatching algorithm.
Further, load prediction comprises the short-term load forecasting method based on fuzzy model, wherein fuzzy model comprises input data and exports data, wherein input data comprise weather pattern, day type, temperature, current month and the historical load data of nearest time period, export the load that data comprise in a day each hour.
Further, described generated power forecasting comprises the RBF neural prediction algorithm based on fuzzy model, wherein model comprises input data and exports data, wherein input the history generated output data that data comprise solar radiation quantity hourly, ambient temperature, cloud amount, wind speed and current month and nearest a period of time, the output data of model comprise photovoltaic, the wind system power generation power of in one day each hour.
Further, optimal operation model is with one day for dispatching cycle, within one hour, is minimum time unit, based on the Optimized model of electricity price data, load prediction data and generated power forecasting data.
Further, the communication protocol that in control system, each gateway uses is IEEE1888 communication protocol.
Beneficial effect: a kind of community of the present invention microgrid dcs can realize: overall monitor function; Area operation controlling functions; Redundancy feature; Default detection and protection function; Power-balance controlling functions; Also can realize intelligence community micro-capacitance sensor management to control and the control of intelligent building need for electricity side.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Embodiment
Below in conjunction with Figure of description, the present invention is further described.
According to Fig. 1, a kind of community microgrid dcs, comprises the unit control system, garden management system, the data server System and Network service system that are connected successively; Wherein: unit monitors system: be responsible for monitoring in real time field apparatus; Garden management system: cooperation control and the running optimizatin of being responsible for whole garden micro-capacitance sensor; Data service system: the data being responsible for system store, management and utilization; Network service system: be responsible for carrying out data communication with outer net and ensureing the network security of system;
Wherein said network service system comprises external network system and wireless telecommunication system, described data service system comprises data server, performs terminal and switch, described garden management system comprises monitoring of tools and management equipment, energy management system and video server, and described unit monitors system comprises monitoring module and video monitoring equipment;
Wherein wireless telecommunication system is connected by one-way data connecting bridge with data server respectively with external network system, wherein data server is connected with video server, energy management system by Industrial Ethernet, and wherein video server is connected with watch-dog by Industrial Ethernet; Execution terminal wherein in data service system is connected with management system, energy management system, video server with monitoring of tools by Industrial Ethernet with interchanger; Monitoring module wherein in unit monitors system by the data upload that detects to Industrial Ethernet.
According to Fig. 1, monitoring module comprises photovoltaic monitoring module, wind-powered electricity generation monitoring module, CHP monitoring module, earth source heat pump monitoring module, gas fired boiler module, energy storage monitoring module, and wherein the data collected to be uploaded in energy management system by Industrial Ethernet and to preserve by individual monitoring module.
According to Fig. 1, video monitoring equipment comprises video and image capture device, screen distributor, DVR, monitor, display wall, and wherein the video collected and view data are uploaded in video server by Industrial Ethernet by each equipment.
According to Fig. 1, external network system comprises external network server and portal management computer, and wherein external network server is connected by TPC/IP framework with network information computer; Described wireless telecommunication system comprises wireless communication server and intelligent terminal, wherein intelligent terminal comprises smart mobile phone, notebook computer, wherein wireless communication server is connected with smart mobile phone by GPRS/3G transmission mode, is connected with notebook computer by WI-FI transmission mode.
According to Fig. 1, external network server is by TPC/IP communication framework and be connected with data server by one-way data bridger; Described wireless communication server is by TPC/IP communication pattern and be connected with data server by one-way data bridger.
EMS is wherein a kind of system be optimized control system by load and generated power forecasting algorithm and running optimizatin dispatching algorithm, wherein load prediction comprises the short-term load forecasting method based on fuzzy model, for load prediction, consider that the habits and customs of resident are usually comparatively fixing, in identical season, identical weather condition with under identical day type (working day or festivals or holidays), the load condition of same user is substantially identical.Therefore in conjunction with historical experience, adopt the short-term load forecasting method based on fuzzy model.Mode input comprise weather pattern, day type, temperature, current month and the historical load of nearest a period of time, it is each hour load in a day that model exports.And the generation of fuzzy rule, choosing of influencing factor all adopt Orthogonal Least Square directly to obtain from historical load data with the determination of degree of membership, the complexity of model is greatly reduced.Finally, predicted value and actual value are analyzed, obtain the probability distribution of the average relative error of Forecasting Methodology, error range and predicated error, with this, Continual Improvement is carried out to prediction algorithm.For generated power forecasting, adopt RBF neural prediction algorithm.The input of model comprises solar radiation quantity hourly, ambient temperature, cloud amount, wind speed, current month and the history generated output data of nearest a period of time, and the output of model is photovoltaic, the wind system power generation power of in one day each hour.For different weather patterns, photovoltaic differs larger with wind power output power.Therefore, according to weather pattern, single neural net is converted to different submodels and designs, both accelerated the training speed of model, turn improved precision of prediction.Optimal operation model then with one day for dispatching cycle, within one hour, be minimum time unit, based on electrovalence policy, load prediction and generated power forecasting, optimum for target with economic benefit and environmental benefit, set up Optimized model.To arrange the operation plan of each hour, adjust controlled unit output, energy storage device charge-discharge electric power and the mutual power of public electric wire net.For ensureing the security reliability of system cloud gray model, the constraint of electrical power Constraints of Equilibrium, heating power balance considered by model, grid power retrains alternately, the constraint of the controlled power of the assembling unit, the constraint of energy storage device charge-discharge electric power, charging and discharging currents constraint, state-of-charge constraint and discharge and recharge count constraint in dispatching cycle.Meanwhile, for the real-time change of field working conditions and the generation of accident, this project adopts rolling optimization mechanism, according to the continuous adjust operation plan of actual conditions, improves the adaptability of running optimizatin algorithm.
The communication protocol that in control system, each gateway uses is IEEE1888 communication protocol.IEEE1888 communication protocol is the all-IP framework based on multi-protocol gateway, compatible mainstream industry general line controlling system and multiple wireless access technology, there is opening system framework, information transmission is carried out based on wide area TCP/IP network, this agreement unifies communication protocol between platform and equipment and data format, intelligent micro-grid control system utilizes the visualization interface of this protocol realization user terminal, and can Real-time Obtaining data message.
For different applicable cases, intelligent DC micro grid control system in community's microgrid dcs segmentation Chu Liao community/building, defines series of products, expands application; Its key technology mainly comprises:
1 adaptive technique
By to the skill upgrading of perception, control, electricity consumption intelligent terminal with effectively manage, realize the optimization and energy saving of whole microgrid region electric process, accurately can provide by energy supply and demand level for local power grid again simultaneously, by accumulate, control device, regulate the utilance and usage level that use clean energy resource, progressively realize the generation mode of the high pollution eliminated in microgrid region.Such as, the analyses and prediction to environment, meteorological large data and on-the-spot real time data perception can be passed through, intelligent subscriber terminal and energy-storage system can predict the output pulsation of power generation part in smart micro-grid system in advance, when not affecting productive life in this micro-web area, automatic adjustment operating state, realizes the independent stable operation of whole micro-electrical network.
2 graphical configuration technologies
Adopt graphical configuration, utilization state space, fuzzy control, neuron algorithm etc., support the self-defined special module of client, and provide user online configuration function: support online modification configuration, can revise under machine operation, and can come into force in time and not affect miscellaneous equipment.And devise and support online self-diagnostic function, can the state etc. at each control point of Real-time Feedback composition intelligent micro-grid.
The distributed and coordinated control technology of 3 multiple agent systems
In community's micro-capacitance sensor framework, there is multi-agent system, distributed collaboration control technology is the stable guarantee of community intelligent microgrid, by coordinating links such as generating, transmission of electricity, distribution, electricity consumption, accumulate, scheduling, reservation energy in intelligent micro-grid operation, optimize, realize the intellectuality of whole micro-capacitance sensor.Thus the regenerative resource in feasible region utilizes to greatest extent in region, effectively can reduce line loss, realize peak load shifting, reduce with energy cost.
Claims (10)
1. community's microgrid dcs, is characterized in that, comprises the unit control system, garden management system, the data server System and Network service system that are connected successively; Wherein:
Unit monitors system: be responsible for monitoring in real time field apparatus;
Garden management system: cooperation control and the running optimizatin of being responsible for whole garden micro-capacitance sensor;
Data service system: the data being responsible for system store, management and utilization;
Network service system: be responsible for carrying out data communication with outer net and ensureing the network security of system;
Wherein said network service system comprises external network system and wireless telecommunication system, described data service system comprises data server, performs terminal and switch, described garden management system comprises monitoring of tools and management equipment, energy management system and video server, and described unit monitors system comprises monitoring module and video monitoring equipment;
Wherein wireless telecommunication system is connected by one-way data connecting bridge with data server respectively with external network system, wherein data server is connected with video server, energy management system by Industrial Ethernet, and wherein video server is connected with watch-dog by Industrial Ethernet; Execution terminal wherein in data service system is connected with management system, energy management system, video server with monitoring of tools by Industrial Ethernet with interchanger; Monitoring module wherein in unit monitors system by the data upload that detects to Industrial Ethernet.
2. a kind of community according to claim 1 microgrid dcs, it is characterized in that, described monitoring module comprises photovoltaic monitoring module, wind-powered electricity generation monitoring module, CHP monitoring module, earth source heat pump monitoring module, gas fired boiler module, energy storage monitoring module, and wherein the data collected to be uploaded in energy management system by Industrial Ethernet and to preserve by individual monitoring module.
3. a kind of community according to claim 1 microgrid dcs, it is characterized in that, described video monitoring equipment comprises video and image capture device, screen distributor, DVR, monitor, display wall, and wherein the video collected and view data are uploaded in video server by Industrial Ethernet by each equipment.
4. a kind of community according to claim 1 microgrid dcs, it is characterized in that, described external network system comprises external network server and portal management computer, and wherein external network server is connected by TPC/IP framework with network information computer; Described wireless telecommunication system comprises wireless communication server and intelligent terminal, wherein intelligent terminal comprises smart mobile phone, notebook computer, wherein wireless communication server is connected with smart mobile phone by GPRS/3G transmission mode, is connected with notebook computer by WI-FI transmission mode.
5. a kind of community microgrid dcs according to claim 1 or 4, is characterized in that, described external network server is by TPC/IP communication framework and be connected with data server by one-way data bridger; Described wireless communication server is by TPC/IP communication pattern and be connected with data server by one-way data bridger.
6. a kind of community according to claim 1 microgrid dcs, is characterized in that, described energy management system is a kind of system be optimized control system by load and generated power forecasting algorithm and running optimizatin dispatching algorithm.
7. a kind of community according to claim 6 microgrid dcs, it is characterized in that, described load prediction comprises the short-term load forecasting method based on fuzzy model, wherein fuzzy model comprises input data and exports data, wherein input data comprise weather pattern, day type, temperature, current month and the historical load data of nearest time period, export the load that data comprise in a day each hour.
8. a kind of community according to claim 6 microgrid dcs, it is characterized in that, described described generated power forecasting comprises the RBF neural prediction algorithm based on fuzzy model, wherein model comprises input data and exports data, wherein input the history generated output data that data comprise solar radiation quantity hourly, ambient temperature, cloud amount, wind speed and current month and nearest a period of time, the output data of model comprise photovoltaic, the wind system power generation power of in one day each hour.
9. a kind of community according to claim 6 microgrid dcs, it is characterized in that, described optimal operation model is with one day for dispatching cycle, within one hour, is minimum time unit, based on the Optimized model of electricity price data, load prediction data and generated power forecasting data.
10. a kind of community according to claim 1 microgrid dcs, is characterized in that, the communication protocol that in described control system, each gateway uses is IEEE1888 communication protocol.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105591469A (en) * | 2015-08-18 | 2016-05-18 | 济南大陆机电股份有限公司 | Community microgrid distributed control system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105591469A (en) * | 2015-08-18 | 2016-05-18 | 济南大陆机电股份有限公司 | Community microgrid distributed control system |
| CN105591469B (en) * | 2015-08-18 | 2019-03-19 | 济南大陆机电股份有限公司 | A kind of community's microgrid dcs |
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| C14 | Grant of patent or utility model | ||
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| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of utility model: Community microgrid distributed control system Effective date of registration: 20180418 Granted publication date: 20160120 Pledgee: Bank of Tai'an, Limited by Share Ltd, Ji'nan branch Pledgor: Jinan Dalu Electromechanical Co., Ltd. Registration number: 2018370000076 |
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Date of cancellation: 20190424 Granted publication date: 20160120 Pledgee: Bank of Tai'an, Limited by Share Ltd, Ji'nan branch Pledgor: Jinan Dalu Electromechanical Co., Ltd. Registration number: 2018370000076 |