CN211127143U - Distributed inverter moving die simulation device - Google Patents
Distributed inverter moving die simulation device Download PDFInfo
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- CN211127143U CN211127143U CN201922249241.0U CN201922249241U CN211127143U CN 211127143 U CN211127143 U CN 211127143U CN 201922249241 U CN201922249241 U CN 201922249241U CN 211127143 U CN211127143 U CN 211127143U
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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Abstract
The utility model discloses a distributing type dc-to-ac converter movable mould analogue means, including main website system, multilayer voltage coordinated control ware, photovoltaic prediction system, photovoltaic monitored control system and photovoltaic simulator, multilayer voltage coordinated control ware and photovoltaic prediction system are connected to main website system, and multilayer voltage coordinated control ware is connected to the photovoltaic controller, and the photovoltaic controller is connected to the photovoltaic simulator, and main website system and multilayer voltage coordinated control ware still are connected to DTU FTU device, and photovoltaic prediction system is connected to the photovoltaic monitored control system, and the photovoltaic monitored control system is connected to the photovoltaic simulator. The utility model discloses can realize the actual simulation of equipment in kind, improve the emulation precision to be convenient for install the ambient condition additional and test, improve actual state's accuracy nature, the accurate prediction of the actual state of being more convenient for.
Description
Technical Field
The utility model relates to a distributing type dc-to-ac converter movable mould emulation device belongs to distributing type dc-to-ac converter movable mould simulation system technical field.
Background
The mathematical model of the power system is mature, the establishment of various new energy grid-connected models is continuously advanced, but the models belong to the prediction under the ideal condition, and the real-time online accurate correspondence cannot be realized.
Disclosure of Invention
The to-be-solved technical problem of the utility model is: the utility model provides a distributed inverter movable mould simulation device to solve the problem that exists among the prior art.
The utility model discloses the technical scheme who takes does: a distributed inverter dynamic simulation device comprises a master station system, a multilayer voltage coordination controller, a photovoltaic prediction system, a photovoltaic monitoring system and a photovoltaic simulator, wherein the multilayer voltage coordination controller and the photovoltaic prediction system are connected to the master station system, the multilayer voltage coordination controller is connected to the photovoltaic controller, the photovoltaic controller is connected to the photovoltaic simulator, the master station system and the multilayer voltage coordination controller are further connected to a DTU/FTU device, the photovoltaic prediction system is connected to the photovoltaic monitoring system, and the photovoltaic monitoring system is connected to the photovoltaic simulator.
Preferably, the master station system is connected to the multi-layer voltage coordination controller and the photovoltaic prediction system through a TCP/IP Ethernet module.
Preferably, the photovoltaic simulator is installed in a control box, and a humidifier, a heating device and a temperature and humidity sensor are arranged in the control box.
The utility model has the advantages that: compared with the prior art, the utility model discloses can realize the actual simulation of equipment in kind, improve the emulation precision to be convenient for install the ambient condition additional and test, improve actual state's accuracy nature, the accurate prediction of the actual state of being more convenient for.
Drawings
Fig. 1 is a schematic structural diagram of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific embodiments.
Example 1: as shown in fig. 1, a distributed inverter dynamic simulation device includes a master station system, a multi-layer voltage coordination controller, a photovoltaic prediction system, a photovoltaic monitoring system and a photovoltaic simulator, where the multi-layer voltage coordination controller and the photovoltaic prediction system are connected to the master station system, the multi-layer voltage coordination controller is connected to the photovoltaic controller, the photovoltaic controller is connected to the photovoltaic simulator, the master station system and the multi-layer voltage coordination controller are further connected to a DTU/FTU device, the photovoltaic prediction system is connected to the photovoltaic monitoring system, and the photovoltaic monitoring system is connected to the photovoltaic simulator.
Preferably, the master station system is connected to the multi-layer voltage coordination controller and the photovoltaic prediction system through a TCP/IP Ethernet module.
Preferably, the photovoltaic simulator is installed in the control box, and the humidifier, the heating device and the temperature and humidity sensor are arranged in the control box, so that the loading and monitoring of the environment temperature and humidity of the photovoltaic simulator can be realized, the data simulation of an actual state is facilitated, and the simulation effect and the simulation accuracy are improved.
The physical environment of the simulation platform comprises a controller and a main station system, and is a main tested object. The design requirement of the physical environment is consistent with the configuration of an actual field as far as possible, the test effect is ensured, so that the time for changing the configuration is reduced when the equipment enters the field, and the equipment is quickly put into use.
The configuration relation of each device and each system on site is that the communication master station is generally in a one-to-many configuration mode, the communication sub stations are generally in a many-to-one configuration mode, and the two controllers have the functions of the communication master station for collecting measurement information and the communication sub stations for receiving control instructions. Due to the characteristics of large communication capacity of the Ethernet and good openness of the TCP/IP protocol, the Ethernet is consistently regarded as a necessary choice for forming the measurement and control local area network. The IEC60870-5-104 protocol based on a network mode is used as a main information transmission mode.
Besides the IEC60870-5-104 protocol, there are also some environments in which the ModBus protocol based on a network manner is used in information interaction. The Modbus protocol is suitable for scenes with large data size, high refreshing rate and high fault-tolerant rate requirement.
The controller is developed based on an L inux operating system of an ARM framework, a JSK20 embedded platform is selected in actual development, and the controller is an efficient embedded development middleware, typical application of the controller comprises controller logic application, a source network coordination control method is achieved, and program expression of an IEC60870-5-104 protocol and a ModBus protocol is completed through protocol application.
The structure of the master station system has the functions of load flow calculation, state estimation and graph-model integrated display, and provides basic algorithm support and graphical display for advanced applications such as active power optimization, reactive power optimization, loop-opening and loop-closing load flow analysis and switching power analysis. The master station system collects all the distributed energy sources, the running states of the loads and the position information of the switches through the DSCADA front-end system, predicts the loads and the output of the distributed energy sources by using historical data, solves the plan curves and the positions of the switches of all the controllable distributed energy sources through an optimization algorithm by combining the prediction data, and sends the plan curves and the positions of the switches to all the controllers and the switches as set value instructions and remote control information.
In the running process of the simulation device, the digital environment and the physical environment run in parallel, and the simulation software ensures the clock synchronization with the physical equipment in a mode of reading the system time of the PC. In the parallel test environment, the acquisition control processes of the master station and the controller have an overlapping part, namely, new telemetering information is uploaded in the process of one-time control issuing, and a control instruction received by the controlled equipment is not made according to the latest telemetering information, which is caused by communication delay and can not be avoided in practice. Therefore, the control time sequence of the research test platform is very important, otherwise, the test effect and the actual equipment commissioning effect are influenced.
Because the optimization program of the master station system is optimized in a rolling mode once every 15 minutes, one optimization period t =15min can be divided into a global optimization target issuing stage and a multi-layer coordination control stage, and the obtained test platform control time sequence is as follows:
(1) and the master station system calculates a power target value according to the distribution network state information acquired at the current moment by combining the load prediction result and the photovoltaic output prediction result, and sends an index to the controller, wherein the time used in the process is t1, and the actual test shows that the process needs 2 minutes.
(2) After the multi-layer voltage coordination controller receives the optimization target of the master station, the control strategy needs to be locked first. If not locked out, the difference between the new and old optimization objectives will cause power oscillation, which is not beneficial to actual operation. And in the locking process, the coordination controller transmits a power target value to the photovoltaic controller and waits for the power target value to be adjusted to the target value. Where t2 is the delay of the forwarding target value.
(3) And after receiving the target value of the coordination controller, the photovoltaic controller transmits the target value to the controlled unit, and the time taken for the controlled unit to adjust the target value is t 3. t2+ t3 is the length of time that the photovoltaic controller needs to latch up, which is found to be about 20s during the test.
(4) And when the locking time reaches 20s, unlocking the photovoltaic controller and starting the set control strategy. And the coordination controller performs incremental PI control according to the deviation between the actual power and the target power.
(5) The photovoltaic controller controls the photovoltaic output according to the incremental value
(6) And (5) continuously repeating the processes (4) and (5) until next suboptimal calculation is started, so as to realize a closed-loop regulation process.
The above description is only for the specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and all should be covered within the protection scope of the present invention, therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (3)
1. The utility model provides a distributed inverter movable mould analogue means which characterized in that: the photovoltaic power generation system comprises a master station system, a multilayer voltage coordination controller, a photovoltaic prediction system, a photovoltaic monitoring system and a photovoltaic simulator, wherein the multilayer voltage coordination controller and the photovoltaic prediction system are connected to the master station system, the multilayer voltage coordination controller is connected to the photovoltaic controller, the photovoltaic controller is connected to the photovoltaic simulator, the master station system and the multilayer voltage coordination controller are further connected to a DTU/FTU device, the photovoltaic prediction system is connected to the photovoltaic monitoring system, and the photovoltaic monitoring system is connected to the photovoltaic simulator.
2. The distributed inverter moving die simulation apparatus according to claim 1, wherein: and the main station system is connected to the multi-layer voltage coordination controller and the photovoltaic prediction system through the TCP/IP Ethernet module.
3. The distributed inverter moving die simulation apparatus according to claim 1, wherein: the photovoltaic simulator is installed in the control box, is provided with humidifier, heating device and temperature and humidity sensor in the control box.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922249241.0U CN211127143U (en) | 2019-12-16 | 2019-12-16 | Distributed inverter moving die simulation device |
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| CN201922249241.0U CN211127143U (en) | 2019-12-16 | 2019-12-16 | Distributed inverter moving die simulation device |
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| CN211127143U true CN211127143U (en) | 2020-07-28 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116430220A (en) * | 2023-04-28 | 2023-07-14 | 国网江苏省电力有限公司宿迁供电分公司 | Grid-connected circuit breaker testing system and testing method |
| CN117672042A (en) * | 2023-12-22 | 2024-03-08 | 北京石油化工学院 | Distributed photovoltaic optimal scheduling simulation teaching device |
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2019
- 2019-12-16 CN CN201922249241.0U patent/CN211127143U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116430220A (en) * | 2023-04-28 | 2023-07-14 | 国网江苏省电力有限公司宿迁供电分公司 | Grid-connected circuit breaker testing system and testing method |
| CN117672042A (en) * | 2023-12-22 | 2024-03-08 | 北京石油化工学院 | Distributed photovoltaic optimal scheduling simulation teaching device |
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