CN104638677A - Energy control device of intelligent micro-grid system based on distributed type power generation - Google Patents
Energy control device of intelligent micro-grid system based on distributed type power generation Download PDFInfo
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- CN104638677A CN104638677A CN201510103295.XA CN201510103295A CN104638677A CN 104638677 A CN104638677 A CN 104638677A CN 201510103295 A CN201510103295 A CN 201510103295A CN 104638677 A CN104638677 A CN 104638677A
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- 238000010248 power generation Methods 0.000 title claims abstract description 6
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 230000001360 synchronised effect Effects 0.000 claims abstract description 8
- 230000003750 conditioning effect Effects 0.000 claims abstract description 3
- 238000013500 data storage Methods 0.000 claims abstract description 3
- 238000005259 measurement Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 abstract description 10
- 238000004891 communication Methods 0.000 abstract description 3
- 230000003993 interaction Effects 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 12
- 238000004146 energy storage Methods 0.000 description 9
- 238000013461 design Methods 0.000 description 8
- 238000000034 method Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 5
- 238000011217 control strategy Methods 0.000 description 3
- 238000013499 data model Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 238000005538 encapsulation Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000001172 regenerating effect Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 230000015654 memory Effects 0.000 description 1
- 238000003012 network analysis Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H02J3/382—
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides an energy control device of an intelligent micro-grid system based on a distributed type power generation unit. The energy control device consists of an alternating current input signal conditioning circuit, a digital phase lock frequency tracking circuit, a multi-channel synchronous data collecting circuit, a digital signal processor, an embedding type microprocessor, a data storage, a clock circuit, a power supply source detection circuit, a monitoring and alarming circuit, and a communication circuit. The energy control device has the advantages that the energy control device is widely applied to the intelligent micro-grid system in the field of intelligent power distribution and utilization, the energy management of the micro-grid system is completed, and the energy can be effectively utilized; a CIM/CIS (common information model/component interface specification) in IEC (International Electrotechnical Commission) 61970 and IEC61968 international standards and a DLMS/COSEM (distribution line message specification/companion specification for energy metering) in an IEC62056 international standard are adopted for a data exchange protocol, the data communication with main stations in the power field, such as energy management systems, power distribution management systems and power utilization information collecting systems, can be realized, and the information interaction is completed.
Description
Technical field
What the present invention relates to is smart micro-grid system based on distributed power generation, and key content is the design about smart micro-grid system energy control apparatus.
Background technology
Along with becoming increasingly conspicuous of Global Environmental Problems, development and utilization regenerative resource, has become the important composition of the world energy sources strategy of sustainable development, is also the basic selection of most of developed country and developing country's 21 century energy development.Through unremitting effort for many years, current regenerative resource occupies indispensable status in world energy supplies strategic restructuring, is more and more subject to the attention of national governments and industrial quarters.Successive optimization energy resource structure, raising energy efficiency, Renewable Energy Development, also become indispensable important component part in China's strategy of sustainable development.Distributed power generation micro-capacitance sensor technology is a kind of novel power grid pattern of rising in recent years, it is the important component part of distribution system and using electricity system in intelligent grid, it is network configuration new in distribution network system, and microgrid energy management system is the cooperation control core of whole micro-grid system, be that distributed energy realizes effectively utilizing, micro-grid system realizes efficient, economy, safety, reliability service important leverage.
Distributed synchronization generator unit, energy-storage units, monitoring and protection unit and load etc. are formed an organic whole by smart micro-grid system energy control apparatus; be connected with public power distribution network by points of common connection, realize the energy interactions management to the generating in one's respective area, accumulate and power consumption equipment.
Smart micro-grid system energy control apparatus in this project adopts embedded microprocessor and digital signal processor dual control circuit in hardware designs, by the circuit such as programmable logic array and multi-channel synchronous data acquisition, realize the intervention management of the various energy resources in smart micro-grid system, quality-monitoring, tidal current analysis and load prediction etc.
Summary of the invention
The hardware circuit of this device comprises digital signal processor TMS320VC5402, PowerPC embedded microprocessor MCF5282, multi-channel digital spacing output circuit, multi-channel synchronous data acquisition circuit, ac input signal modulate circuit, digital servo-control frequency tracking circuit, data storage, clock circuit, power supply testing circuit, monitoring, alarming and communicating circuit.
After the alternating voltage that ac input signal modulate circuit exports public power distribution network, synchronous generator unit, current signal are adjusted by the link such as filtering, amplification, be connected to the multi-channel synchronal sampling data acquisition circuit be made up of multiple 18 bipolar differential input AD7609.The digital PLL circuit be made up of FPGA, frequency-tracking is carried out to AC power, ensure synchronous real-time and the phase accuracy of AC sampling in data acquisition circuit, digital signal processor, by carrying out calculation process to the AC signal collected, obtains voltage, electric current, frequency, phase place, power and power flow direction.Digital signal processor, by the parallel data grabbing card HPI of self, carries out exchanges data with embedded microprocessor in master-slave equipment mode.
The voltage of each AC power that embedded microprocessor transmits according to digital signal processor, electric current, frequency, phase place, the information such as power and power flow, in conjunction with the energy control strategy of setting, control major loop energy flow to, the environmental aspect etc. of the impedance operator of monitoring electric loading simultaneously, the isolating switch state of relevant low-voltage distribution system, distributed synchronization generator unit and energy-storage units, adjust control mode at any time, if desired output alarm signal.Major loop energy network controls to be the emphasis of electic protection, adopts four layers of protected mode, (1) in embedded microprocessor, design protection program; (2) numeral interlocking logic is set at digital isolated drive circuit; (3) by design electic protection logic in programmable logic array (FPGA), the enable output of control figure isolation drive; (4) main circuit power exports net control and arranges electic protection logical circuit.
Embedded microprocessor synchronously processes to adopt in two ways to the electric quantity data obtained and energy data, (1) CIM (Common Information Model), CIS (data-interface specification) according to IEC61970 (energy management service), IEC61968 (system interface of electric power enterprise application integration--distribution management) carry out the encapsulation process of data structure and type, upload to the EMS(EMS of power scheduling main website) and DMS(Distribution Management System); (2) according to the DLMS(equipment language message specification of the IEC62056 exchanges data of rate and spatial load forecasting (check meter)), the supporting specification of COSEM(energy measurement) carry out the encapsulation process of data structure and type, upload to the power information acquisition system of power marketing main website.
Energy transmission control strategy:
The Energy transmission control strategy software systems of this device, based on embedded real-time multitask micro OS VXWORK, run four program process such as the analysis of energy-storage units working state monitoring, distributed generation unit monitoring analysis, the analysis of public power distribution network power flow and the analysis of power load power flow simultaneously.
Software systems preferentially carry out working state monitoring and the power flow Orientation of public power distribution network.
When public power distribution network is normal, in conjunction with power load state, carry out power stage analysis module, simultaneously in power load Emergency Class analysis module, according to input amount and the Emergency Class analysis of power load, get involved energy-storage units power stage policy module and distributed generation unit power stage strategy.
When public power distribution network departs from main electrical network, when being in power failure state, System Priority enters distributed generation unit power stage strategy, when distributed generation unit is not activated, network analysis energy-storage units operating state, enters the policy module of energy-storage units power stage.
In the policy module of energy-storage units power stage, in conjunction with power load Emergency Class analysis module, and public power distribution network power output analysis module, carry out Energy transmission.
In the policy module of distributed generation unit power stage, in conjunction with power load Emergency Class analysis module, and public power distribution network power output analysis module, carry out Energy transmission.Monitor energy-storage units operating state simultaneously, normal at public power distribution network, under the state that power output meets power load, preferentially to energy-storage units charging, then carrying out operation of generating electricity by way of merging two or more grid systems.
Accompanying drawing explanation
Fig. 1 is apparatus system schematic diagram; Fig. 2 is Energy transmission control strategy.
Embodiment
Embodiment is see Fig. 1 and Fig. 2.
1, this device samples through instrument transformer public power distribution network, the alternating voltage of synchronous generator unit collection, current signal, after entering the input signal conditioning circuit be made up of signal filtering, amplifying circuit, is divided into two groups of analog signal channels.One group is input to AD7609; Another group, after by Zero-cross comparator testing circuit, absolute value circuit, analog switching circuit, digital servo-control frequency tracking circuit, produces synchronous sampling signal, starts the data transaction of AD7609 and the data acquisition of TMS320VC5402.
2, digital signal processor TMS320VC5402 processes the AC signal data gathered, calculate the voltage effective value of each AC power, current effective value, active power, reactive power, active energy, reactive energy, power factor, phase place and frequency etc., then by additional for a data time marking, embedded microprocessor MCF5282 is sent to.
3, MCF5282 receives the data that TMS320VC5402 transmits, and adopts OO class form to carry out the foundation of two kinds of data models.
(1) data model meeting CIM/CIS standard is set up.Based on IEC61970-301, use UML (UML), carry out distributed generation unit class Modeling and Design, comprise generic attribute expansion (as operational mode, power adjustments pattern, meritorious and Reactive-power control, electrical connection type, infield geography information) and functional module exploitation, comprise power calculation simulation model, dynamic control model, micro-capacitance sensor dynamic model.Distribution network modeling mainly comprises equipment tundish vessel model, device model, distribution topologies model, design resource description framework resolver realizes importing and exporting of electricity distribution network model data, realizes the tracking monitor to distribution network topological structure, supply district, power supply power flow etc.
(2) data model meeting DLMS/COSEM standard is set up.According to the data group definition of object identity system (OBIS) and the object modeling technique of interface class (IC), alternating current energy datum is carried out the specification of data object type, comprise the logical name of data, attribute register, data length, dimension, electrically classification, Measurement channel, processing mode etc.
4, MCF5282 is according to measurement data and distributed microgrid energy export control policy, the number connect test port controlled by it, realizes energy management and controls.
5, MCF5282 manages two groups of jumbo ferroelectric memorys, realizes the Redundant backup that data store, and ensures that the long-term reliability of historical data stores.Power supply circuit adopts modularization hot plug design, two loop Redundant backups, ensures that system power supply is reliable, stable.Clock circuit provides clock signal accurately for two processors simultaneously, makes the operational data of TMS320VC5402 and the encapsulation of data of MCF5282, the consistency of retention time mark.The communicating circuit that MCF5282 controls adopts Modular function design, and the communication modes such as configuration RS485, PLC, GPRS, LAN, Energy Information Administration data upload to power scheduling main station system and power marketing main station system.
Claims (1)
1., based on the smart micro-grid system energy control apparatus of distributed power generation, it is characterized in that its hardware circuit is made up of input signal conditioning circuit, digital servo-control frequency tracking circuit, multi-channel synchronous data acquisition circuit, digital signal processor, microprocessor, data storage, clock circuit, power supply testing circuit, monitoring, alarming circuit and communicating circuit; Described digital signal processor is 32 fixed point high speed digital signal processor TMS320VC5402; Described microprocessor is PowerPC embedded microprocessor MCF5282; Data exchange agreement adopts CIM/CIS (Common Information Model/data-interface specification) and the supporting specification of DLMS/COSEM(equipment language message specification/energy measurement).
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510103295.XA CN104638677A (en) | 2014-10-28 | 2015-03-10 | Energy control device of intelligent micro-grid system based on distributed type power generation |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2014105832536 | 2014-10-28 | ||
| CN201410583253 | 2014-10-28 | ||
| CN201510103295.XA CN104638677A (en) | 2014-10-28 | 2015-03-10 | Energy control device of intelligent micro-grid system based on distributed type power generation |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113381446A (en) * | 2021-06-18 | 2021-09-10 | 国网福建省电力有限公司泉州供电公司 | Distributed photovoltaic group regulation and group control system and method |
| WO2024021549A1 (en) * | 2022-07-29 | 2024-02-01 | 重庆跃达新能源有限公司 | Photovoltaic power generation and energy storage control method and system, and storage medium |
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| CN102222931A (en) * | 2011-04-19 | 2011-10-19 | 吉林省电力有限公司电力科学研究院 | Microgrid three-phase grid-connected inverter system and control method thereof |
| US20120101639A1 (en) * | 2010-10-21 | 2012-04-26 | The Boeing Company | Microgrid Control System |
| CN102842915A (en) * | 2012-08-23 | 2012-12-26 | 天津大学 | Grid-connected inverter with information integration function |
| 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 |
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- 2015-03-10 CN CN201510103295.XA patent/CN104638677A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20120101639A1 (en) * | 2010-10-21 | 2012-04-26 | The Boeing Company | Microgrid Control System |
| CN102222931A (en) * | 2011-04-19 | 2011-10-19 | 吉林省电力有限公司电力科学研究院 | Microgrid three-phase grid-connected inverter system and control method thereof |
| CN102842915A (en) * | 2012-08-23 | 2012-12-26 | 天津大学 | Grid-connected inverter with information integration function |
| 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 |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113381446A (en) * | 2021-06-18 | 2021-09-10 | 国网福建省电力有限公司泉州供电公司 | Distributed photovoltaic group regulation and group control system and method |
| CN113381446B (en) * | 2021-06-18 | 2023-06-23 | 国网福建省电力有限公司泉州供电公司 | Distributed light Fu Qun group control method |
| WO2024021549A1 (en) * | 2022-07-29 | 2024-02-01 | 重庆跃达新能源有限公司 | Photovoltaic power generation and energy storage control method and system, and storage medium |
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