CN105048457A - Electric energy management system of intelligent microgrid - Google Patents
Electric energy management system of intelligent microgrid Download PDFInfo
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Abstract
The invention relates to the energy management system, particularly to an electric energy management system of an intelligent microgrid based on real-time data acquisition. The system is composed of a data acquisition unit, a data storage unit and an energy prediction unit at three layers. The data acquisition unit and the data storage unit are connected; and the data storage unit and the energy prediction unit are connected. The data acquisition unit transmits collected state data and implemented environment factor data to the data storage unit; and the data storage unit stores the data and transmits the data to the energy prediction unit. According to the invention, the real-time data are collected, a mathematical model is established on the monitored data, and the data are transmitted to an intelligent microgrid scheduling control system. The system is architecture by using a layering way and thus the overall system is divided into different logic blocks and the functions of the system are specified, so that the costs of the system development and maintenance are substantially lowered.
Description
Technical field
The present invention relates to a kind of energy management system, be specifically related to a kind of intelligent micro-grid energy management system based on real-time data acquisition.
Background technology
Since entering 21 century, along with the continuous decline of the resource reserve such as oil, coal, worldwide energy supply constant tension, the regenerative resource developing clean and effective becomes the main outlet solving future source of energy problem.Current widely used several new forms of energy comprise solar energy, wind energy, fuel cell etc., be distributed power source (DistributedEnergyResources, DER), some generation technologies are called distributed generation technology (DistributedGeneration, DG) accordingly.Distributed generation technology is combined with bulk power grid, the major way thought to reduce energy consumption by domestic and international many experts and scholars, improving power system security and flexibility, but the impact of distributed generation technology on bulk power grid be one must not irrespective major issue.In order to make full use of the economic benefit that distributed power generation brings, improve reliability simultaneously, and reduce its impact to major network as far as possible, the concept of micro-capacitance sensor (microgrid) is carried out.
Micro-capacitance sensor is the independent dispersion system that scale is less, and adopt a large amount of modern electric technology, by gas turbine, wind-powered electricity generation, photovoltaic generation, fuel cell and energy storage device etc. combine, and are directly connected on user side.For bulk power grid, micro-capacitance sensor can be regarded as a controllable in electrical network, it can within the several seconds action with the demand of satisfied outside transmission and distribution networks; On the other hand, micro-capacitance sensor also can meet the particular demands of user, as improved local reliability, keeping local voltage stabilization, by utilizing waste heat improve energy utilization efficiency and provide uninterrupted power supply etc.Micro-capacitance sensor and bulk power grid are by energy exchange, and the two is for subsequent use each other, thus greatly improves power supply reliability.
Micro-capacitance sensor possesses the advantage such as diversification of intelligent, flexibility, environmental protection and Energy harvesting, certainly will become the important development direction of following electrical network.In intelligent micro-grid, the energy comprises photovoltaic generation, wind power generation, biomass power generation, fuel gas generation etc., due to the fluctuation of its distributed nature and the energy itself, so need intelligent micro-grid electric energy management system to carry out unifying to coordinate and management.
Summary of the invention
The invention provides a kind of intelligent micro-grid electric energy management system, be connected with intelligent micro-grid Dispatching Control System by, intelligent micro-grid Dispatching Control System is transferred to after founding mathematical models is carried out by the data of monitoring to real-time data acquisition, and adopt the mode of layering to carry out architecture system, whole system is divided into different logical blocks, refinement systemic-function, greatly reduces the cost of system development and maintenance.
It is below concrete technical scheme: a kind of intelligent micro-grid electric energy management system, comprise data acquisition unit, data storage cell, energy predicting unit three-decker, wherein data acquisition unit is connected with data storage cell, wherein data storage cell is connected with energy predicting unit, wherein the status data collected and implementation environment factor data are transferred to data storage cell by data acquisition unit, and data are carried out storage and transferred to energy predicting unit by data storage cell.
Wherein energy predicting unit comprises generating prediction module, electro-load forecast module and power supply and energy-storage module.
Wherein data acquisition unit comprises the generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, the environmental data collecting module that are connected with data storage cell respectively; The data acquisition module that wherein generates electricity comprises generating set and flourishing data acquisition server, wherein generating set is connected with data acquisition equipment, data acquisition equipment is connected with generating data acquisition server, and the secondary weapon of generating data acquisition is connected with data memory module; Wherein generating set comprises wind turbine generator, photovoltaic generation unit, Biogas Generator Set, natural gas power unit; Power load data acquisition module comprises the use energy equipment, data acquisition equipment, electricity consumption data acquisition server and the data memory module that connect successively; Wherein with comprising enterprise one secondary summary table, corporate boss with can equipment, resident's summary table, communal facility electricity consumption summary table and other summary tables by equipment; Environmental data collecting module comprises the monitoring station, data acquisition equipment, environmental data collecting server and the data memory module that connect successively, also comprise the weather forecast module be connected with environmental data collecting server separately, wherein monitoring station comprises weather monitoring website, illumination monitoring station, water level monitoring website, rainfall monitoring website.
Wherein data storage cell comprises real time data processing module and energy management data center, wherein real time data processing module is connected with energy management data module is unidirectional, and wherein energy predicting unit comprises generating prediction module, electro-load forecast module and power supply and energy-storage module.
Further, generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, environmental data collecting module are connected with real time data processing module respectively.
Further, energy management data center is respectively with generating prediction module, electro-load forecast module, powering is connected with energy storage prediction module.
Beneficial effect: the present invention transfers to intelligent micro-grid Dispatching Control System after to real-time data acquisition the data of monitoring being carried out founding mathematical models, and adopt the mode of layering to carry out architecture system, whole system is divided into different logical blocks, refinement systemic-function, greatly reduce the cost of system development and maintenance, and because the structure of layering makes system possess extensibility and retractility flexibly, and under the coordinated scheduling of microgrid Communities ' Integrated EMS, become an organic whole.
Accompanying drawing explanation
Fig. 1 is management system structured flowchart of the present invention.
Fig. 2 is the structured flowchart of the generating data acquisition module in management system of the present invention.
Fig. 3 is the structured flowchart of the electricity consumption data acquisition module in management system of the present invention.
Fig. 4 is the structured flowchart of the environmental data collecting module in management system of the present invention.
Embodiment
A kind of intelligent micro-grid electric energy management system, comprise data acquisition unit, data storage cell, energy predicting unit three-decker, wherein data acquisition unit is connected with data storage cell, wherein data storage cell is connected with energy predicting unit, wherein the status data collected and implementation environment factor data are transferred to data storage cell by data acquisition unit, and data are carried out storage and transferred to energy predicting unit by data storage cell.
Wherein data acquisition unit comprises the generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, the environmental data collecting module that are connected with data storage cell respectively; The data acquisition module that wherein generates electricity comprises generating set and flourishing data acquisition server, wherein generating set is connected with data acquisition equipment, data acquisition equipment is connected with generating data acquisition server, and the secondary weapon of generating data acquisition is connected with data memory module; Wherein generating set comprises wind turbine generator, photovoltaic generation unit, Biogas Generator Set, natural gas power unit; Power load data acquisition module comprises the use energy equipment, data acquisition equipment, electricity consumption data acquisition server and the data memory module that connect successively; Wherein with comprising enterprise one secondary summary table, corporate boss with can equipment, resident's summary table, communal facility electricity consumption summary table and other summary tables by equipment; Environmental data collecting module comprises the monitoring station, data acquisition equipment, environmental data collecting server and the data memory module that connect successively, also comprise the weather forecast module be connected with environmental data collecting server separately, wherein monitoring station comprises weather monitoring website, illumination monitoring station, water level monitoring website, rainfall monitoring website.
Wherein data storage cell comprises real time data processing module and energy management data center, wherein real time data processing module is connected with energy management data module is unidirectional, and wherein energy predicting unit comprises generating prediction module, electro-load forecast module and power supply and energy-storage module.
Further, generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, environmental data collecting module are connected with real time data processing module respectively.
Wherein energy predicting unit comprises generating prediction module, electro-load forecast module and power supply and energy-storage module.
Further, energy management data center is respectively with generating prediction module, electro-load forecast module, powering is connected with energy storage prediction module.
Below in conjunction with Figure of description, the invention will be further described.
By Fig. 1, data acquisition unit major function is the status data and the implementation environment factor data that gather key link in smart micro-grid system; Data acquisition unit comprises generating data acquisition module, grid-connected data monitoring module, power load data acquisition module, energy-storage system running status module, environmental data collecting module five submodules.
The data acquisition module that wherein generates electricity is the module generating data of each generating set being carried out gathering, grid-connected data monitoring module is the module of monitoring the data after grid-connected, power load data acquisition module checks to electricity consumption the module that data gather, energy-storage system running status module is mainly installed on each energy storage website in intelligent micro-grid, data source can be energy storage station point control system, monitoring information system or sensing equipment, main image data comprises energy storage website running state data, discharge and recharge information data, power budget data, power quality data etc., and institute's image data is transferred to the module that memory cell carries out processing, environmental data collecting module is the module gathered surrounding environment.
Data acquisition unit can use the multiple communication interface such as RS485/RS232, CAN/LonWorks fieldbus, Ethernet/INTERNET, and supports the Standards Codes such as MODBUS-RTU/TCP/ASCII, IEC60870-5-101/102/103/104, DNP03.0, CDT.Data transmission procedure meets electric power secondary system security protection requirement, and uses Transmission Encryption/decryption technology, ensures fail safe and the integrality of institute's data.
Data storage element major function is the real time data receiving data acquisition unit transmission, and carries out dissection process and send data to energy conservation data center and store instruction.The communication interface that data storage cell uses according to each data acquisition module and communication protocol carry out real time data parsing, to send data and store instruction after Data Analysis according to the data format of " timestamp-measuring point name-value " to energy management data center.Energy management data center major function is that data store and Classifying Sum, data class is divided into real time data and historical data, Database Systems are divided into real-time data base and relational database, real-time data base stores the real time data of all collection points, and relational database is divided into again system state data storehouse, energy combined data storehouse and backup database; Relational database is processed data according to processing logic, calculates and classifies storage on real time data basis, for data analysis, inquiry, prediction and Report Forms Service etc.Data processing and distribution are the cores of this platform, the generating gathered according to history, every unique user data of electricity consumption and energy storage, the utilization of the power consumption of each unit users of automatic distribution and the regenerative resource of this community of computing, by control system according to hour power consumption, according to electricity consumption priority assign electricity, increase considerably electricity consumption user temporarily and apply for microgrid Operation Centre, community separately.This module provides basic data for energy digitlization.
Energy predicting unit comprises generating forecast model, power consumption prediction model, power supply and energy storage forecast model three forecast models.Three models are actual to be closely related, generating forecast model can be different according to generating set kind, following energy output data are predicted according to gathered influencing factor supplemental characteristic and Changing Pattern, such as can set up wind power generation forecast model according to real-time wind speed, wind direction, local climate history data, data of weather forecast etc. for wind turbine generator, predict following 1-3 daily generation data; Photovoltaic generation forecast model can be set up according to real-time lighting data, long-range weather forecast data in conjunction with photovoltaic apparatus installation data for photovoltaic generation unit, predict following energy output.Meanwhile, generating prediction module can predict following power load data according to electro-load forecast model, predicts the data such as following generating set operating load.Electro-load forecast model, major function be based on real-time power load data power consumption equipment history electricity consumption data set up analytical model, prediction power load.The foundation of model is based on a large amount of electricity consumption historical data, its data comprise the overall power consumption historical data in intelligent micro-grid overlay area, resident's power consumption historical data, electricity consumption enterprise-wide power consumption historical data, main energy equipment real-time running state and history power consumption data etc., user power utilization custom is analyzed from these data, equipment running status and electricity consumption trend, region power consumption and environmental impact factor, power load and time relationship etc., set up electro-load forecast model, and according to generating forecast model prediction data and energy storage forecast model prediction data, predict the data such as following power load.Power supply and energy storage forecast model, according to running status, energy storage capacity, the time-of-use tariffs data of energy storage website, in conjunction with energy output prediction data and electro-load forecast data, set up energy storage and power supply forecast model, forecasting process will take into full account intelligent micro-grid economical operation cost, power-on time is arranged in peak period as far as possible, and will to main electrical network power taking set of time in the valley period.Generating forecast model, electro-load forecast model and power supply and energy storage forecast model institute prediction data will be transferred to intelligent micro-grid Dispatching Control System, unify coordinated scheduling by it according to prediction data to whole micro-capacitance sensor equipment.
By Fig. 2, generating data acquisition module comprises generating set and generating data acquisition server, wherein generating set is connected with data acquisition equipment, and data acquisition equipment is connected with generating data acquisition server, and generating data acquisition server is connected with data memory module; Wherein generating set comprises wind turbine generator, photovoltaic generation unit, Biogas Generator Set, natural gas power unit.Each generating set institute image data comprises operating states of the units data, energy output data, power generating quality data, unit fault information data, start and stop status data etc., data source can be SCADA system, on-line monitoring system or other real-time monitoring systems or transducer, data acquisition equipment is connected with data source, data acquisition equipment is connected with generating data acquisition server, send image data instruction by generating data acquisition server and also receive the image data sent by data acquisition equipment, institute's image data is transferred to data storage cell and processes.
By Fig. 3, power load data acquisition not block comprises the use energy equipment, data acquisition equipment, electricity consumption data acquisition server and the data memory module that connect successively; Wherein with comprising enterprise one secondary summary table, corporate boss with can equipment, resident's summary table, communal facility electricity consumption summary table and other summary tables by equipment.The data of this module acquires comprise active power, reactive power, power factor, voltage, electric current, frequency, harmonic wave, accumulative electric energy, electricity using at the peak time data etc.; Data source can be SCADA system, on-line monitoring system, secondary measurement instrument etc., and be connected with data acquisition equipment, data acquisition equipment is connected with power load data acquisition server, send data acquisition instructions by power load data acquisition server and also receive the image data sent by data acquisition equipment, institute's image data is transferred to memory cell and processes.
By Fig. 4, environmental data collecting module comprises the monitoring station, data acquisition equipment, environmental data collecting server and the data memory module that connect successively, also comprise the weather forecast module be connected with environmental data collecting server separately, wherein monitoring station comprises weather monitoring website, illumination monitoring station, water level monitoring website, rainfall monitoring website.This module major function gathers real time environment factor data, collecting device is distributed in intelligent micro-grid institute overlay area, according to generating set kind, different acquisition equipment is set, such as, the weather monitoring device such as wind speed, wind direction is set near wind turbine generator, the monitoring equipments such as illumination, humidity, temperature are set in photovoltaic power generation equipment region, the monitoring equipments such as rainfall, water level, air pressure are set in micro-capacitance sensor overlay area; The data of weather forecast that acquisition terminal is issued by the network collection Central Meteorological Observatory is set simultaneously.Institute's image data is transferred to memory cell and processes.
Claims (9)
1. an intelligent micro-grid electric energy management system, be connected with intelligent micro-grid Dispatching Control System after the data of monitoring are carried out founding mathematical models and transfer to intelligent micro-grid Dispatching Control System, it is characterized in that, comprise data acquisition unit, data storage cell, energy predicting unit three-decker, wherein data acquisition unit is connected with data storage cell, wherein data storage cell is connected with energy predicting unit, wherein the status data collected and implementation environment factor data are transferred to data storage cell by data acquisition unit, data are carried out storage and are transferred to energy predicting unit by data storage cell.
2. a kind of intelligent micro-grid electric energy management system according to claim 1, it is characterized in that, described data acquisition unit comprises the generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, the environmental data collecting module that are connected with data storage cell respectively.
3. a kind of intelligent micro-grid electric energy management system according to claim 1, it is characterized in that, described data storage cell comprises real time data processing module and energy management data center, and wherein real time data processing module is connected with energy management data module is unidirectional.
4. a kind of intelligent micro-grid electric energy management system according to claim 1, is characterized in that, described energy predicting unit comprises generating prediction module, electro-load forecast module and power supply and energy-storage module.
5. a kind of intelligent micro-grid electric energy management system according to claim 1 and 2, it is characterized in that, described generating data acquisition module, power load data acquisition module, grid-connected data monitoring module, energy-storage system running status module, environmental data collecting module are connected with real time data processing module respectively.
6. a kind of intelligent micro-grid electric energy management system according to claim 1 or 3 or 4, is characterized in that, described energy management data center is respectively with generating prediction module, electro-load forecast module, powering is connected with energy storage prediction module.
7. a kind of intelligent micro-grid electric energy management system according to claim 2, it is characterized in that, described generating data acquisition module comprises generating set and flourishing data acquisition server, wherein generating set is connected with data acquisition equipment, data acquisition equipment is connected with generating data acquisition server, and generating data acquisition server is connected with data memory module; Wherein generating set comprises wind turbine generator, photovoltaic generation unit, Biogas Generator Set, natural gas power unit.
8. a kind of intelligent micro-grid electric energy management system according to claim 2, is characterized in that, described power load data acquisition not block comprises the use energy equipment, data acquisition equipment, electricity consumption data acquisition server and the data memory module that connect successively; Wherein with comprising enterprise one secondary summary table, corporate boss with can equipment, resident's summary table, communal facility electricity consumption summary table and other summary tables by equipment.
9. a kind of intelligent micro-grid electric energy management system according to claim 2, it is characterized in that, described environmental data collecting module comprises the monitoring station, data acquisition equipment, environmental data collecting server and the data memory module that connect successively, also comprise the weather forecast module be connected with environmental data collecting server separately, wherein monitoring station comprises weather monitoring website, illumination monitoring station, water level monitoring website, rainfall monitoring website.
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