CN219999099U - Micro-grid dispatching system - Google Patents
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Abstract
The utility model provides a micro-grid dispatching system, which belongs to the field of micro-grid control and comprises a power distribution network, a total transformer, an alternating current-direct current converter, a rectifier, a chopper, power generation equipment, energy storage equipment, a load, a control dispatching system and an alternating current-direct current micro-grid, wherein the alternating current-direct current micro-grid comprises an alternating current micro-grid and a direct current micro-grid, the power generation equipment, the energy storage equipment, the load and the alternating current-direct current micro-grid are all provided with the control dispatching system, and the control dispatching system comprises a basic control system, a layered framework structure of a multi-Agent system for distributed power generation and an optimization system of a Petri network. The utility model has the advantages of self-adaption, information exchange and power supply adjustment according to the environment.
Description
Technical Field
The utility model belongs to the field of micro-grid control, and particularly relates to a micro-grid dispatching system.
Background
While the micro-grid control provides reliable guarantee for stable operation and processing of a large amount of data information of a distributed power generation system, the main difficulty for the micro-grid control is to realize coordinated control of a plurality of distributed energy sources, but the current micro-grid is quite unreliable by virtue of a central controller for globally reacting and coordinating the system, because the micro-grid control needs to carry out sudden drop on voltage in the power grid, the autonomous reaction is carried out when sudden events such as sudden drop of the voltage occur, the micro-grid control is difficult to ensure for the single central controller, the reliability and stability of the system are not ensured, and the control method of the distributed power generation system is mainly 2, namely a plug-and-play control method based on power electronics and a control method based on a power management system.
The control method based on the power electronics controls the distributed power supply according to the compensation coefficient and the f-p sagging curve, the method has limitation, the recovery problem of system voltage and frequency is not considered, the control method based on the power management system controls the active power and the reactive power respectively by adopting the sub-modules, the method overcomes the defects of the control method based on the power electronics, namely the plug-and-play method and the peer-to-peer control method, but still depends on the power electronics technology, so that the control method based on the power management system has larger harmonic wave generated in the operation process, and the operation performance of the dispatching system is poor, so the distributed control method is needed at present, the dependence of the power electronics technology is solved, and the mechanized power control problem of the micro-grid dispatching system is overcome.
Disclosure of Invention
The utility model provides a micro-grid dispatching system capable of self-adapting, information exchange and adjusting power supply according to environment, which is especially suitable for the coordination control work of a plurality of distributed energy sources. The technical problems to be solved are as follows: the existing mode in the control of micro-grid power dispatching cannot adapt to emergency conditions, and the whole system control process is too mechanized.
The technical scheme adopted by the utility model is as follows: the utility model provides a little electric wire netting dispatch system, includes distribution network, total transformer, AC-DC converter, rectifier, chopper, power generation facility, energy storage equipment, load, control dispatch system and AC-DC little electric wire netting, and AC-DC little electric wire netting includes AC little electric wire netting and DC little electric wire netting, and power generation facility, energy storage equipment, load and AC-DC little electric wire netting all set up control dispatch system, control dispatch system includes basic control system, the hierarchical frame structure of the multi-Agent system of distributed generation and the optimizing system of Petri net.
Further, the distribution network is connected with a total transformer through a cable, the total transformer is connected with an alternating current bus through a cable, the alternating current bus is connected with a transformer in an alternating current micro-grid through a cable, the transformer in the alternating current micro-grid is connected with a plurality of alternating current-direct current converters through a cable, the plurality of alternating current-direct current converters are respectively connected with an alternating current micro-grid rectifier and an alternating current micro-grid chopper, the alternating current micro-grid rectifier is connected with power generation equipment, the alternating current micro-grid chopper is connected with energy storage equipment, and the alternating current bus in the alternating current micro-grid is connected with a load.
Further, the distribution network is connected with a total transformer through a cable, the total transformer is connected with a direct-current micro-grid transformer through a cable, the direct-current micro-grid transformer is connected with a direct-current micro-grid rectifier through a cable, the direct-current micro-grid rectifier is connected with a direct-current bus through a cable, the direct-current bus is connected with a load and a direct-current micro-grid chopper through the transformer, the direct-current micro-grid chopper is provided with a plurality of direct-current micro-grid choppers, each direct-current micro-grid chopper is respectively connected with energy storage equipment and direct-current power generation equipment, and the direct-current micro-grid chopper is connected with alternating-current power generation equipment through the rectifier.
Further, the basic control system of the control scheduling system comprises PQ control, vf control and draw control, PQ control is adopted when the AC micro-grid and the DC micro-grid are supported by the power distribution network, and master-slave control mode or peer-to-peer control mode is adopted when the AC micro-grid and the DC micro-grid are disconnected from the power distribution network and supported by the energy storage equipment.
Furthermore, the distributed power supply where the master controller in the master-slave control mode is located adopts Vf to control the frequency and the voltage of the stabilizing system, the distributed power supply of the slave controller adopts PQ to control and follows the master controller to carry out power regulation, and the distributed power supply in the peer-to-peer control mode adopts Droop to control.
Further, the load of the layered framework structure of the multi-Agent system for distributed power generation in the control scheduling system comprises an important load and an interruptible load, and the layered framework structure of the multi-Agent system is divided into an upper layer coordination control Agent and a lower layer unit Agent.
Further, the layered framework structure of the multi-Agent system for distributed power generation in the control and dispatching system is divided into an individual layer, a coordination layer and an execution layer according to the Petri network theory, the Agent system of the individual layer obtains basic parameters in the AC/DC micro-grid, the coordination layer Agent system activates tasks according to load balance requirements, and the execution layer Agent system executes the activation tasks.
Further, the 3 functional layers formed by the individual layer, the coordination layer and the execution layer are combined to establish an optimized dispatching cooperation system based on the Petri network, and the optimized dispatching cooperation system comprises a main power grid Petri network subsystem, a micro-source Petri network subsystem, an energy storage system Petri network subsystem, a standby power supply Petri network subsystem and a load system Petri network subsystem.
After adopting above structure, have following beneficial effect:
1. the basic control system of the dispatching system is controlled by the upper-layer coordination control Agent and the lower-layer unit Agent, so that the indirect control equipment works, meanwhile, the Petri system is utilized to carry out overall and state control on all the equipment of the micro-grid, the defect that the existing control mode faces to the external environment is too mechanical to ensure the stability of voltage and power supply, thereby ensuring the stability of the power supply of the micro-grid, and ensuring the stability of the power supply of important loads under the influence of external environment is overcome.
2. Due to the adoption of the distributed power generation structure, the energy storage equipment is matched with the control of the Petri and Agent system to provide stable electric energy supply for the important load of the micro-grid, the important load is prevented from being powered off after the power distribution network is disconnected, and the stable work of the important load is ensured.
Drawings
FIG. 1 is a schematic illustration of the micro-grid structure of the present utility model;
FIG. 2 is a schematic diagram of a distributed power generation system of the present utility model;
FIG. 3 is a schematic diagram of an upper layer coordinated control Agent system of the present utility model;
FIG. 4 is a schematic diagram of an Agent system of a lower unit of the present utility model;
FIG. 5 is a schematic diagram of a layered framework of a multi-Agent system of the distributed generation of the present utility model;
FIG. 6 is a schematic diagram of the Petri network subsystem of the main grid of the present utility model;
FIG. 7 is a schematic diagram of the Petri network subsystem of the power plant of the present utility model;
FIG. 8 is a schematic diagram of the Petri network subsystem of the energy storage device of the present utility model;
FIG. 9 is a schematic diagram of the Petri network subsystem of the backup power source of the present utility model;
fig. 10 is a schematic diagram of a load Petri net subsystem of the present utility model.
Detailed Description
The utility model is further described below with reference to the drawings and the detailed description.
As shown in fig. 1:
the utility model provides a little electric wire netting dispatch system, including distribution network, total transformer, AC-DC converter, the rectifier, the chopper, power generation facility, energy storage equipment, load, control dispatch system and AC-DC little electric wire netting, AC-DC little electric wire netting includes AC little electric wire netting and DC little electric wire netting, power generation facility, energy storage equipment, load and AC-DC little electric wire netting all set up control dispatch system, control dispatch system includes basic control system, distributed power generation's multi-Agent system's layered frame structure and Petri net's optimizing system, power generation facility includes wind power generation, gas turbine or photovoltaic power generation, energy storage facility is the battery.
The power distribution network is connected with a total transformer through a cable, the total transformer is connected with an alternating current bus through a cable, the alternating current bus is connected with a transformer in an alternating current micro-grid through a cable, the transformer in the alternating current micro-grid is connected with a plurality of alternating current-direct current converters through a cable, the plurality of alternating current-direct current converters are respectively connected with an alternating current micro-grid rectifier and an alternating current micro-grid chopper, the alternating current micro-grid rectifier is connected with power generation equipment, the alternating current micro-grid chopper is connected with energy storage equipment, and the alternating current bus in the alternating current micro-grid is connected with a load.
The power distribution network is connected with a total transformer through a cable, the total transformer is connected with a DC micro-grid transformer through a cable, the DC micro-grid transformer is connected with a DC micro-grid rectifier through a cable, the DC micro-grid rectifier is connected with a DC bus through a cable, the DC bus is connected with a load and a DC micro-grid chopper through the transformer, the DC micro-grid chopper is provided with a plurality of chopper devices, each DC micro-grid chopper device is respectively connected with energy storage equipment and DC power generation equipment, and the DC micro-grid chopper device is connected with AC power generation equipment through the rectifier.
The basic control system of the control scheduling system comprises PQ control, vf control and draw control, wherein PQ control is adopted when the AC micro-grid and the DC micro-grid are supported by the power distribution network, the PQ control can enable the energy storage device to output active power and reactive power according to the scheduling power command value, the photovoltaic power generation and wind power generation device can maximize the output power by using the maximum power tracking technology, the PQ control adopts constant power control or constant current control on the DC micro-grid, and a master-slave control mode or a peer-to-peer control mode is adopted when the AC micro-grid and the DC micro-grid are disconnected and supported by the energy storage device.
The distributed power supply of the master controller in the AC micro-grid adopts Vf to control the frequency and the voltage of the stabilizing system, the distributed power supply of the slave controller adopts PQ to control and follows the instruction value of the master controller to carry out power regulation, the distributed power supply of the master controller in the DC micro-grid adopts constant voltage control in the active control mode, the slave controller adopts constant power or constant current to control, the master control is equivalent to a voltage source in the master-slave control mode, the slave controller is equivalent to a power source, the distributed power supplies are all controlled by Droop in the peer-to-peer control mode, the distributed power supplies are all equivalent to the voltage source in the peer-to-peer control mode, the Droop control of the peer-to-peer control mode in the AC micro-grid adopts the power frequency-active Droop characteristic and the voltage-reactive Droop characteristic, and the Droop control of the peer-to-peer control mode in the DC micro-grid adopts the voltage-current or voltage-power Droop characteristic.
As shown in fig. 2, the agents are Agent systems, loads of a layered framework structure of a multi-Agent system for controlling distributed power generation in a dispatching system comprise important loads and interruptible loads, the important loads require uninterrupted power, the interruptible loads can break power supply according to requirements, the layered framework structure of the multi-Agent system is divided into an upper layer coordination control Agent and a lower layer unit Agent, the upper layer coordination control Agent is used for coordinating and controlling switching of operation modes of all distributed energy units according to different operation modes of the system, the power distribution network, an alternating current bus and the Agent systems corresponding to the loads belong to the lower layer unit Agent, and the lower layer unit Agent is mainly used for controlling the operation modes of all units and regulating power output.
The utility grid has PCC (public access point) connected to a first AC bus through a cable, UG (public grid Agent system) connected to UG Agent through a signal line, DGSCC Agent connected to SU Agent through a signal line, load Agent connected to DC bus through a cable, MF & FC Agent connected to a wind power generator through a signal line, wind power generator connected to an AC bus through a transformer and an isolating switch, MF & FC Agent connected to a fuel cell through a signal line, gas turbine and a fuel cell connected to an AC bus through a transformer and an isolating switch, AC bus connected to an important Load and an inverter through a cable, load Agent connected to an important Load and an interruptible Load through an isolating switch, DC bus connected to an inverter through a cable, PV Agent connected to a photovoltaic power generator through a signal line, DC generator connected to an energy storage device through a power storage device through a cable, DC buffer unit connected to a DC bus through a power storage device through a cable, and DC buffer unit connected to a DC buffer.
As shown in fig. 3, the upper layer coordination control Agent (DGCCA) includes a database, a security evaluation module of the DGS, a knowledge base, a decision module-coordination control command, an action execution module and a communication module, the database transmits data to the security evaluation module of the DGS through a signal line, the security evaluation module of the DGS transmits data to the decision module through a signal line, the security evaluation module of the DGS exchanges data with the knowledge base through the signal line, the knowledge base exchanges data with the decision module, the action execution module and the communication module through the signal line, the decision module transmits data to the action execution module through the signal line, the action execution module transmits data to the communication module through the signal line, and the action execution module sends a signal to the lower layer unit Agent.
As shown in fig. 4, the lower unit Agent includes a learning and evaluation module, a local policy module, a knowledge base, a handover control policy, and continuous recognition; the response layer comprises situation recognition, perception and action, signals of the assistant control agents are transmitted to the switching control strategy, the switching control strategy and the local strategy module are subjected to data exchange through signal lines, the switching control strategy is controlled to act through the signal lines, signals of the negotiation layer (coordination layer) are transmitted to the continuous recognition module, the continuous recognition is controlled to act through the signal lines, the continuous recognition module and the local strategy module are subjected to data exchange through the signal lines, the local strategy module is subjected to data exchange through the signal lines and the knowledge base, the local strategy module is subjected to data exchange from the learning and evaluation module, the learning and evaluation module is subjected to data exchange through the signal lines, the situation recognition module is subjected to data exchange from the sensing module, the external environment change signal is detected through the sensing signals, and the situation recognition signal is controlled to act.
As shown in fig. 5, a layered framework structure of a multi-Agent system for controlling distributed power generation in a scheduling system is divided into an individual layer, a coordination layer and an execution layer according to a Petri network theory, the Agent system of the individual layer acquires basic parameters in an ac/dc micro-grid, the coordination layer Agent system activates tasks according to load balance requirements, the execution layer Agent system executes the activated tasks, the individual layer comprises RD (renewable energy device), ND (natural gas device) and ED (energy storage device), the coordination layer comprises RED (renewable energy dominant device), NGD (natural gas dominant device) and ESD (energy storage dominant device), and the execution layer comprises MD (multi-thread version).
The optimization scheduling cooperation system based on the Petri network is established by combining 3 functional layers formed by an individual layer, a coordination layer and an execution layer and comprises a main power grid Petri network subsystem, a micro-source Petri network subsystem, an energy storage system Petri network subsystem, a standby power supply Petri network subsystem and a load system Petri network subsystem.
As shown in fig. 6, the Petri network subsystem of the main power grid, the library contains P 0 P 1 The library is a device and its subsystem corresponds to the control device, and is composed of two combined working modes, when SMG (micro grid monitoring state) =1, it is a grid-connected mode, i.e. t 2 When smg=0, the off-network mode is set, and the transition is t 1 And t 2 Transition to an event that occurs when the Petri subsystem of the main power grid fails, S fault (set identifier) =1, i.e. t 1 The magnet is powered on by a circuit breakerThe net Petri net subsystem is isolated, in this case in an offline mode.
As shown in fig. 7, the power generation equipment Petri net subsystem is always in a power maximum tracking state due to the difference between the wind/light distributed complementary system and the parallel/off-grid because the environment affects the power generation equipment such as solar energy, wind energy and the like, the output power has a decisive influence on the working state of the power generation equipment, and t 4 If meet P MS >P MSmin Power condition (P) MSmin Minimum output power of subsystem), the power generation device is incorporated into the microgrid through the isolating switch; t is t 3 If meet P MS <P MSmin And under the power condition, disconnecting the power generation equipment from the micro-grid through the isolating switch.
As shown in fig. 8, the energy storage device Petri network subsystem is provided, and the energy storage device in the micro-grid system adopts a storage battery pack, so that the storage battery pack can ensure the stability and continuity of the micro-grid power. To ensure the service life of the accumulator battery, frequent discharge needs to be avoided, t 5 To disconnect the distribution network, the battery is discharged at this time, t 6 The power distribution network is connected, the storage battery pack is charged at the moment, t 7 For full charge, the battery pack enters standby charging at the moment, t 8 The power distribution network is connected and the electric quantity is sufficient, the storage battery pack is standby at the moment, t 9 Disconnecting the power distribution network and charging through the power generation equipment, discharging the storage battery pack at the moment, t 10 And when the electric quantity of the storage battery pack in the standby state is not full, the storage battery pack is charged.
As shown in fig. 9, in the Petri net subsystem of the standby power supply, the micro-grid is safe and stable and needs to rely on the standby power supply, the standby power supply is contained in the energy storage device, the operation of the standby power supply is not interfered by environmental factors to supply electric energy to the micro-grid, the standby power supply adopts a fuel cell component, when the energy of the energy storage device is exhausted or the distributed power generation and supply are insufficient, the standby power supply supplies electric energy for important load, and at the moment, P B >P Limp ，P B For standby power supply power, P Limp Electric power is important to load.
As shown in fig. 10, the load Petri network subsystem, the load, i.e., the load, is divided into authorizationsThe load and the important load are always in an operation state, and the authorized load can continue to operate under the authorized state when being in an off-network state, namely S REQ When the micro-grid load is in an off-grid state and the power supply is sufficient, the micro-grid supplies power to the authorized load, and the power supply power is P Lout If the power supply is inadequate, the authorized load is converted to an unauthorized load.
P in FIGS. 6-10 1 、P 2 、P 3 、P 4 、P 5 、P 6 、P 7 、P 8 、P 9 、P 10 、P 11 、P 12 And P 13 Are libraries and represent the corresponding devices being controlled.
The specific working mode of the embodiment is as follows:
the JADE platform is an Agent simulation platform, and is used for simulation to calculate the voltage safety index of the system; firstly activating DGSCCA according to the obtained system voltage safety index L, adding a JADE platform, and sending an "form" message to UGA; after receiving the message sent by the DGSCCA, the UGA replies a corresponding feedback message, so that the operation mode of the system is determined; DGSCCA sends control command to WTA, PVA, SUA, MFA and FA respectively; after receiving the control command, each unit Agent replies corresponding message primitives to the DGSCCA according to the own operation mode, wherein the message primitives comprise a request, a pro or a reflow and the like so as to complete the energy distribution task of the distributed energy unit.
Directional terms, such as "upper", "lower", "left", "right", etc., in the present utility model are merely for better, more clearly explaining and understanding the present utility model, and do not indicate or imply that the apparatus or element being referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present utility model.
The foregoing description of the preferred embodiments of the present utility model is provided for illustration and is not to be construed as limiting the claims. The present utility model is not limited to the above embodiments, and the specific structure thereof is allowed to be changed, and all changes made within the scope of the utility model as independently claimed are within the scope of the utility model.
Claims (6)
1. A micro-grid dispatching system, characterized by: the system comprises a power distribution network, a total transformer, an alternating current-direct current converter, a rectifier, a chopper, power generation equipment, energy storage equipment, a load, a control scheduling system and an alternating current-direct current micro-grid, wherein the alternating current-direct current micro-grid comprises an alternating current micro-grid and a direct current micro-grid, the power generation equipment, the energy storage equipment, the load and the alternating current-direct current micro-grid are all provided with the control scheduling system, the control scheduling system comprises a basic control system, a layered framework structure of a multi-Agent system for distributed power generation and an optimization system of a Petri network, the power distribution network is connected with the total transformer through a cable, the rectifier comprises an alternating current micro-grid rectifier and a direct current micro-grid rectifier, and the chopper comprises an alternating current micro-grid chopper and a direct current micro-grid chopper;
the total transformer is connected with an alternating current bus through a cable, the alternating current bus is connected with a transformer in an alternating current micro-grid through a cable, the transformer in the alternating current micro-grid is connected with a plurality of alternating current-direct current converters through a cable, the plurality of alternating current-direct current converters are respectively connected with an alternating current micro-grid rectifier and an alternating current micro-grid chopper, the alternating current micro-grid rectifier is connected with power generation equipment, the alternating current micro-grid chopper is connected with energy storage equipment, and the alternating current bus in the alternating current micro-grid is connected with a load;
the total transformer is connected with the DC micro-grid transformer through a cable, the DC micro-grid transformer is connected with the DC micro-grid rectifier through a cable, the DC micro-grid rectifier is connected with the DC bus through a cable, the DC bus is connected with the load and the DC micro-grid chopper through the transformer, the DC micro-grid chopper is provided with a plurality of pieces, each DC micro-grid chopper is respectively connected with the energy storage equipment and the DC power generation equipment, and the DC micro-grid chopper is connected with the AC power generation equipment through the rectifier.
2. A micro grid dispatching system according to claim 1, wherein: the basic control system of the control scheduling system comprises PQ control, vf control and draw control, wherein PQ control is adopted when the AC micro-grid and the DC micro-grid are supported by the power distribution network, and master-slave control mode or peer-to-peer control mode is adopted when the AC micro-grid and the DC micro-grid are disconnected from the power distribution network and supported by the energy storage equipment.
3. A micro grid dispatching system according to claim 2, wherein: the distributed power supply of the master controller in the master-slave control mode adopts Vf to control the frequency and the voltage of the stabilizing system, the distributed power supply of the slave controller adopts PQ to control and follows the master controller to carry out power regulation, and the distributed power supply in the peer-to-peer control mode adopts a Droop to control.
4. A micro grid dispatching system according to claim 1, wherein: the load of the layered framework structure of the multi-Agent system for distributed power generation in the control and dispatching system comprises an important load and an interruptible load, and the layered framework structure of the multi-Agent system is divided into an upper layer coordination control Agent and a lower layer unit Agent.
5. A micro grid dispatching system according to claim 4, wherein: the hierarchical framework structure of the multi-Agent system for distributed power generation in the control scheduling system is divided into an individual layer, a coordination layer and an execution layer according to the Petri network theory, the Agent system of the individual layer obtains basic parameters in the AC/DC micro-grid, the coordination layer Agent system activates tasks according to load balance requirements, and the execution layer Agent system executes the activation tasks.
6. A micro grid dispatching system according to claim 5, wherein: the optimized dispatching cooperation system based on the Petri network is established by combining 3 functional layers formed by the individual layer, the coordination layer and the execution layer and comprises a main power grid Petri network subsystem, a micro-source Petri network subsystem, an energy storage system Petri network subsystem, a standby power supply Petri network subsystem and a load system Petri network subsystem.
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| CN202321181080.6U CN219999099U (en) | 2023-05-16 | 2023-05-16 | Micro-grid dispatching system |
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