Multi-modal control method of distributed energy router and intelligent connected transportation system

Through the multimodal control method of the distributed energy router, the working mode of the energy power conversion module is dynamically adjusted according to the load type, which solves the problem that the power supply system in the intelligent connected transportation system cannot meet the variable load, and realizes a stable and flexible power supply solution.

CN118412918BActive Publication Date: 2025-10-24KEHUA DATA CO LTD
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Patent Information

Application Number
CN202410414615.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-08
Publication Date
2025-10-24
Estimated Expiration
2044-04-08

AI Technical Summary

Technical Problem

The existing power supply system cannot meet the power supply needs of the diverse types of loads in the intelligent connected transportation system.

Method used

A multi-modal control method of a distributed energy router is adopted. By obtaining the load type as steady-state or dynamic load, the energy power conversion module is controlled to operate in load demand satisfaction mode or bus support mode respectively, ensuring that the output power of each distributed energy meets the load demand or stabilizes the operating parameters of the DC bus.

Benefits of technology

It meets the power supply needs of various types of loads, improves the reliability and flexibility of the power supply system, and adapts to the complex load environment of the intelligent connected transportation system.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application provides a multi-modal control method of a distributed energy router and an intelligent networked transportation system. The distributed energy router comprises a DC bus, an energy power conversion module of each distributed energy connected with the DC bus, and a load power conversion module of a load; the method comprises the following steps: obtaining the type of the load; when the type of the load is a steady-state load, controlling each energy power conversion module to work in a load demand meeting mode; in the load demand meeting mode, the output power of each distributed energy meets the demand power of the load; when the type of the load is a dynamic load, controlling each energy power conversion module to work in a bus support mode; in the bus support mode, the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range. According to different load types, each energy power conversion module can work in different modes to meet the power supply demand of loads with various types.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent networked transportation, and in particular to a multi-modal control method of a distributed energy router and an intelligent networked transportation system. BACKGROUND

[0002] An intelligent networked transportation system is a transportation management system that connects vehicles, people and road facilities through information technology and communication technology, and can provide real-time traffic information, intelligent navigation, vehicle monitoring and control services, aiming to improve the safety and efficiency of urban travel. However, in order to realize this new type of transportation management system, in addition to the necessary advanced sensors and edge computing devices, the entire intelligent system also needs a high-reliability power supply system to support its application. However, the load types in the intelligent networked transportation system are variable, and the existing power supply system cannot meet the power supply needs of the variable load types. SUMMARY

[0003] The embodiments of the present application provide a multi-modal control method of a distributed energy router and an intelligent networked transportation system to solve the problem that the existing power supply system cannot meet the power supply needs of variable load types.

[0004] In a first aspect, the embodiments of the present application provide a multi-modal control method of a distributed energy router, the distributed energy router comprising a DC bus and energy power conversion modules of each distributed energy and load power conversion modules of loads connected to the DC bus; the multi-modal control method comprising:

[0005] obtaining the type of the load;

[0006] when the type of the load is a steady-state load, controlling each energy power conversion module to work in a load demand satisfaction mode; in the load demand satisfaction mode, the output power of each distributed energy meets the demand power of the load;

[0007] when the type of the load is a dynamic load, controlling each energy power conversion module to work in a bus support mode; in the bus support mode, the output power of each distributed energy stabilizes the operating parameters of the DC bus within a preset parameter range.

[0008] In a possible implementation manner, each distributed energy includes a high-entropy energy, a photovoltaic array, a microgrid and an energy storage battery; the microgrid and the energy storage battery can act as a power source or a load.

[0009] In a possible implementation manner, controlling each energy power conversion module to work in the bus support mode comprises:

[0010] With the given voltage of the DC bus, the energy power conversion modules of the high-entropy energy source and the energy storage battery are controlled, the energy power conversion module of the photovoltaic array is controlled by MPPT to make the photovoltaic array output the maximum power, and when the micro-grid works in the power supply state, the energy power conversion modules of the micro-grid are controlled with the given voltage of the DC bus.

[0011] In a possible implementation, the type of the load is acquired, including:

[0012] The working parameter of the DC bus is acquired.

[0013] When the working parameter of the DC bus is detected to drop rapidly, the type of the load is determined as a dynamic load; otherwise, the type of the load is determined as a steady-state load.

[0014] The working parameter includes a voltage; when the voltage drop of the DC bus within a preset time length is greater than a preset voltage difference, or the voltage drop rate of the DC bus is greater than a preset rate, the working parameter of the DC bus is determined to drop rapidly.

[0015] In a possible implementation, the energy power conversion modules are controlled to work in a load demand meeting mode, including:

[0016] The demand power of the load is acquired.

[0017] Based on the priority order of each distributed energy source and the demand power of the load, the energy power conversion modules of each distributed energy source are controlled to make the output power of each distributed energy source meet the demand power of the load.

[0018] In a possible implementation, based on the priority order of each distributed energy source and the demand power of the load, the energy power conversion modules of each distributed energy source are controlled to make the output power of each distributed energy source meet the demand power of the load, including:

[0019] When the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, the energy power conversion module of the high-entropy energy source is controlled to supply power to meet the demand power of the load, the photovoltaic array and the energy power conversion module are controlled to be in standby mode, and the energy power conversion modules of the micro-grid and the energy storage battery are controlled to be in charging mode or standby mode.

[0020] When the demand power of the load is greater than the maximum output power of the high-entropy energy source and less than or equal to the sum of the maximum output power of the high-entropy energy source and the photovoltaic array, the energy power conversion module of the high-entropy energy source is controlled to output the maximum power, the energy power conversion module of the photovoltaic array is controlled to compensate for the power difference between the load and the high-entropy energy source, and the energy power conversion modules of the micro-grid and the energy storage battery are controlled to be in charging mode or standby mode.

[0021] When the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array, the microgrid and the energy storage battery, the energy power conversion modules of the high-entropy energy source, the photovoltaic array and the microgrid all output the maximum power, the energy power conversion module of the energy storage battery works in the discharging mode, and the energy power conversion module of the energy storage battery compensates for the power difference between the load and the high-entropy energy source, the photovoltaic array and the microgrid.

[0022] When the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the microgrid, and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array, the microgrid and the energy storage battery, the energy power conversion modules of the high-entropy energy source, the photovoltaic array and the microgrid all output the maximum power, the energy power conversion module of the energy storage battery works in the discharging mode, and the energy power conversion module of the energy storage battery compensates for the power difference between the load and the high-entropy energy source, the photovoltaic array and the microgrid.

[0023] In a second aspect, an embodiment of the present application provides a multi-modal control device of a distributed energy router, the distributed energy router comprising a DC bus, energy power conversion modules of each distributed energy connected to the DC bus, and a load power conversion module of a load; the multi-modal control device comprising:

[0024] an acquisition module configured to acquire a type of the load;

[0025] a steady-state load control module configured to, when the type of the load is a steady-state load, control each energy power conversion module to work in a load demand satisfaction mode; in the load demand satisfaction mode, the output power of each distributed energy satisfies the demand power of the load;

[0026] a dynamic load control module configured to, when the type of the load is a dynamic load, control each energy power conversion module to work in a bus support mode; in the bus support mode, the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range.

[0027] In a third aspect, an embodiment of the present application provides a controller, comprising a memory and a processor, the memory being configured to store a computer program, and the processor being configured to call and run the computer program stored in the memory to execute the multi-modal control method of the distributed energy router as described in the first aspect or any possible implementation manner of the first aspect.

[0028] In a fourth aspect, an embodiment of the present application provides a distributed energy router, comprising a DC bus, energy power conversion modules of each distributed energy connected to the DC bus, a load power conversion module of a load, and a controller as described in the third aspect.

[0029] The energy power conversion modules and the load power conversion modules are controlled by the controller.

[0030] In a fifth aspect, an embodiment of the present application provides an intelligent connected vehicle system, comprising the distributed energy router as described in the fourth aspect.

[0031] An embodiment of the present application provides a multi-modal control method of a distributed energy router and an intelligent connected vehicle system, the distributed energy router comprising a DC bus and an energy power conversion module of each distributed energy and a load power conversion module of a load connected with the DC bus; the method comprises the following steps: acquiring a type of the load; when the type of the load is a steady-state load, controlling each energy power conversion module to work in a load demand meeting mode; so that the output power of each distributed energy meets the demand power of the load; when the type of the load is a dynamic load, controlling each energy power conversion module to work in a bus support mode; so that the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range, and each energy power conversion module can work in different modes according to different types of loads to meet the power supply demand of loads with various types. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative labor.

[0033] Figure 1 is a flowchart of a multi-modal control method of a distributed energy router provided by an embodiment of the present application;

[0034] Figure 2 is a structural schematic diagram of a distributed energy router provided by an embodiment of the present application;

[0035] Figure 3 is a structural schematic diagram of a distributed energy router provided by another embodiment of the present application;

[0036] Figure 4 is a structural schematic diagram of a distributed energy router provided by still another embodiment of the present application;

[0037] Figure 5 is a structural schematic diagram of a multi-modal control device of a distributed energy router provided by an embodiment of the present application;

[0038] Figure 6 is a schematic diagram of a controller provided by an embodiment of the present application. DETAILED DESCRIPTION

[0039] In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, and circuits are omitted so as not to obscure the description of the present application with unnecessary detail.

[0040] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described by specific embodiments in conjunction with the accompanying drawings.

[0041] Referring to Figure 1 It shows the implementation flowchart of the multi-modal control method of the distributed energy router provided by the embodiments of the present application. The execution subject of the multi-modal control method of the distributed energy router can be a controller.

[0042] Referring to Figure 2 The distributed energy router includes a DC bus and an energy power conversion module of each distributed energy connected with the DC bus and a load power conversion module of the load 50. Each energy power conversion module is also connected with the corresponding distributed energy; the load power conversion module is connected with the load 50.

[0043] Among them, the energy power conversion module can be a DC-DC conversion module, and the load power conversion module can be a DC-AC conversion module or a DC-DC conversion module.

[0044] Each distributed energy can supply power to the DC bus through the corresponding energy power conversion module, and part of the distributed energy can also obtain electric energy from the DC bus through the corresponding energy power conversion module. The DC bus can supply power to the load through the load power conversion module.

[0045] Referring to Figure 1 The multi-modal control method of the distributed energy router includes:

[0046] In S101, the type of the load is obtained.

[0047] Among them, the type of the load can include a steady-state load or a dynamic load. The steady-state load is a conventional stable load with little fluctuation of the load. The dynamic load is a pulse special load with large fluctuation of the load.

[0048] In some embodiments, the above S101 can include:

[0049] Obtaining the working parameters of the DC bus;

[0050] When it is detected that the operating parameter of the DC bus drops rapidly, the type of the load is determined to be a dynamic load; otherwise, the type of the load is determined to be a steady-state load;

[0051] Among them, the operating parameters include voltage; when the voltage drop of the DC bus within a preset time period is greater than a preset voltage difference, or the voltage drop rate of the DC bus is greater than a preset rate, it is determined that the operating parameters of the DC bus drop rapidly.

[0052] In the embodiment of the present application, the type of load can be determined as a steady-state load or a dynamic load by the operating parameters of the DC bus. The preset duration, preset voltage difference, and preset rate can be set according to actual needs and are not specifically limited here.

[0053] In some possible implementations, the load can be distinguished as a steady-state load or a dynamic load based on the pulsation of the load power. Alternatively, the load type can be input or set in advance by the user to determine whether the load is steady-state or dynamic. The user can know the type of the connected load in advance and manually input or set the load type.

[0054] For different load types, each energy power conversion module can be controlled to work in different working modes to meet the load requirements.

[0055] In S102 , when the load type is a steady-state load, each energy power conversion module is controlled to operate in a load demand satisfaction mode; in the load demand satisfaction mode, the output power of each distributed energy source meets the required power of the load.

[0056] Among them, the load demand satisfaction mode means that the energy supply of each distributed energy source matches the energy consumption of the load. Each distributed energy source provides as much energy as the load requires. In other words, the output power of each distributed energy source meets the required power of the load.

[0057] In S103, when the load type is a dynamic load, each energy power conversion module is controlled to operate in a bus support mode; in the bus support mode, the output power of each distributed energy source stabilizes the operating parameters of the DC bus within a preset parameter range.

[0058] The bus support mode means that the functional conditions of each distributed energy source can stabilize the operating parameters of the DC bus within the preset parameter range. That is, the output power of each distributed energy source can stabilize the operating parameters of the DC bus within the preset parameter range. For example, the voltage of the DC bus is stabilized within the preset voltage range, the current of the DC bus is stabilized within the preset current range, and so on.

[0059] The preset parameter range can be set according to actual needs and is not specifically limited here.

[0060] The embodiment of the application acquires the type of the load, controls each energy power conversion module to work in a load demand meeting mode when the type of the load is a steady-state load, so that the output power of each distributed energy meets the demand power of the load, and controls each energy power conversion module to work in a bus support mode when the type of the load is a dynamic load, so that the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range. According to different load types, each energy power conversion module can work in different modes to meet the power supply demand of the load with variable types.

[0061] In some embodiments, referring to Figure 2 , each distributed energy includes a high-entropy energy 41, a photovoltaic array 42, a microgrid 43, and an energy storage battery 44. The microgrid 43 and the energy storage battery 44 can be used as a power supply or a load.

[0062] The high-entropy energy 41 and the photovoltaic array 42 can be used as a power supply. The microgrid 43 and the energy storage battery 44 can be used as a power supply to provide electric energy or as a load to consume electric energy. The microgrid 43 can also include an energy storage battery. For ease of distinction, the energy storage battery in the microgrid 43 can be referred to as a first energy storage battery, and the energy storage battery directly serving as a distributed energy 44 can be referred to as a second energy storage battery.

[0063] The high-entropy energy 41 can refer to a diffuse energy such as kinetic energy, potential energy, thermal energy, and electromagnetic radiation energy that is scattered in nature, ubiquitous, and available at all times. A large amount of high-entropy energy 41 can be collected by using friction nanogeneration technology and applied to an intelligent connected transportation system to meet the energy supply demand of the intelligent connected transportation system in terms of large size and wide distribution.

[0064] The high-entropy energy 41 and the photovoltaic array 42 are external collected idle energy and belong to new energy. Through these two types of energy, the system can reduce the dependence on the microgrid (because the microgrid energy is essentially derived from the power grid) and reduce carbon emissions. Therefore, the energy priority of the high-entropy energy 41 and the photovoltaic array 42 can be higher than that of the microgrid 43, and the energy priority of the high-entropy energy 41 can be higher than that of the photovoltaic array 42.

[0065] The microgrid 43 can include a first energy storage battery. The microgrid 43 can be used as an energy source to supply power to a load or as a load to consume energy. The microgrid 43 has complete control logic inside. When the high-entropy energy 41 and the photovoltaic array 42 cannot meet the energy demand, the microgrid 43 can supply power as an energy source. When the energy is sufficient, the microgrid 43 can consume energy as a load to charge the first energy storage battery inside.

[0066] The priorities of the distributed energies from high to low are the high-entropy energy 41, the photovoltaic array 42, the microgrid 43, and the energy storage battery 44.

[0067] The energy power conversion module of the energy storage battery 44 can include a super capacitor, thereby providing stable support for the distributed energy router.

[0068] The energy storage battery 44 can supply energy when the high-entropy energy source 41, the photovoltaic array 42 and the microgrid 43 cannot meet the energy demand, and can be charged as a load when the energy is sufficient.

[0069] In some possible implementations, referring to Figure 3 , the distributed energy router 20 can include a system layer control module 21 and a device layer control module 22; the system layer control module 21 is connected with the upper layer dispatching center 30 and the device layer control module 22 respectively, and the device layer control module 22 is connected with each distributed energy source 40 and load 50 respectively.

[0070] The system layer control module 21 receives the energy control instruction of the upper layer dispatching center, and issues passive control instructions for each distributed energy source 40 to the device layer control module 22 based on the energy control instruction.

[0071] The device layer control module 22 performs passive energy control on each distributed energy source 40 based on the passive control instruction, and performs active energy control on each distributed energy source based on the operating state of each distributed energy source 40.

[0072] The upper layer dispatching center 30, also referred to as an upper layer energy management control center, can issue an energy control instruction to the system layer control module 21. After receiving the energy control instruction, the system layer control module 21 can generate passive control instructions for each distributed energy source 40 according to the energy control instruction, and issue the passive control instructions to the device layer control module 22.

[0073] The device layer control module 22 can perform passive energy control on each distributed energy source 40 according to the received passive control instructions for each distributed energy source 40, and can also perform active energy control on each distributed energy source 40 based on the operating state of each distributed energy source 40.

[0074] Exemplarily, the active energy control of each distributed energy source 40 based on the operating state of the distributed energy source 40 can include at least one of the following: when a port parameter (such as current, voltage, power, etc.) of the distributed energy source 40 does not meet a port given parameter, adjusting the port parameter to meet the corresponding port given parameter according to a corresponding control loop; when overcurrent occurs in the distributed energy source 40, performing overcurrent protection; when overtemperature occurs in the distributed energy source 40, performing overtemperature protection; when overload occurs in the distributed energy source 40, performing overload protection; when overvoltage occurs in the distributed energy source 40, performing overvoltage protection; when a fault occurs in the distributed energy source 40, performing fault protection and notifying a worker; and the like.

[0075] The distributed energy source router 20 can be scattered along the highway and the expressway at a certain distance together with the intelligent network-connected transportation system, so as to provide power energy for the intelligent network-connected transportation system.

[0076] In some possible implementation manners, referring to Figure 4 , the system layer control module 21 can include a router aggregation controller; each distributed energy source includes the high-entropy energy source 41, the photovoltaic array 42, the microgrid 43, and the energy storage battery 44; the device layer control module 22 includes an energy source controller corresponding to each distributed energy source 40, the energy source power conversion module, a load controller corresponding to the load 50, the load power conversion module, and the DC bus;

[0077] The router aggregation controller is connected with the upper-layer dispatching center 30, each energy source controller, and the load controller; each energy source power conversion module and the load power conversion module are connected with the DC bus; each energy source power conversion module is further connected with the corresponding distributed energy source 40; and the load power conversion module is connected with the load.

[0078] The energy source power conversion module is directly controlled by the corresponding energy source controller, and the load power conversion module is directly controlled by the load controller; and the energy source controller and the load controller can be controlled by the router aggregation controller in some cases, so that the energy source power conversion module and the load power conversion module can be indirectly controlled by the router aggregation controller.

[0079] The controller for executing the multi-modal control method of the distributed energy source router can be the router aggregation controller.

[0080] In the embodiment, the router aggregation controller can receive the energy control instruction of the upper-layer dispatching center, generate passive control instructions for each distributed energy source based on the energy control instruction, and issue the passive control instructions for each distributed energy source to the energy source controller corresponding to each distributed energy source.

[0081] The energy controller corresponding to each distributed energy receives the passive control instruction, and passively controls the working condition of the energy power conversion module corresponding to the distributed energy according to the passive control instruction, so that the working condition of the corresponding distributed energy can meet the corresponding passive control instruction. Meanwhile, the energy controller can also actively control the energy based on the running state of the corresponding distributed energy.

[0082] In some possible implementation manners, the energy control instruction is used to indicate whether the energy power conversion module corresponding to the microgrid discharges the microgrid;

[0083] The passive control instruction includes a target working parameter of the corresponding distributed energy.

[0084] In the embodiment, the energy control instruction issued by the upper-layer scheduling center is used to indicate whether the energy power conversion module corresponding to the microgrid discharges the microgrid, that is, whether the microgrid obtains energy from the DC bus as a load. The system-layer control module can calculate the target working parameter of each distributed energy, that is, the given working parameter of each distributed energy, according to the energy control instruction, and then issue the target working parameter to the device-layer control module, so that the device-layer control module can control each distributed energy to work according to the target working parameter.

[0085] In the two cases of discharging the microgrid by the energy power conversion module corresponding to the microgrid and not discharging the microgrid by the energy power conversion module corresponding to the microgrid, the target working parameters of the distributed energies are different, which can be calculated according to actual conditions.

[0086] The passive control instruction can also include at least one of the following: turning on or turning off the energy power conversion module of the corresponding distributed energy, charging or discharging the energy storage battery, and whether the microgrid executes the instruction when the energy control instruction is used to indicate that the energy power conversion module corresponding to the microgrid discharges the microgrid, and the like.

[0087] In some possible implementation manners, the passive control instruction generated according to the energy control instruction can be referred to as a first passive control instruction. The system-layer control module can also collect the working conditions, load amounts and the like of each distributed energy and the corresponding energy power module, generate a second passive control instruction based on the collected information, and issue the second passive control instruction to the device-layer control module to further optimize each distributed energy. After receiving the second passive control instruction, the device-layer control module executes the second passive control instruction.

[0088] The instructions or information contained in the second passive control instruction can be the same as or similar to the instructions or information contained in the first passive control instruction, except that the specific values or specific controls are different.

[0089] The embodiment of the application can perform double-layer optimization on passive control of each distributed energy by the system layer control module and active control of each distributed energy by the device layer control module, so as to ensure that each distributed energy operates in an optimal state.

[0090] In some embodiments, in the above S103, the operation of each energy power conversion module in the bus support mode includes:

[0091] The energy power conversion module of the energy storage battery and the energy power conversion module of the high-entropy energy are controlled at the given voltage of the DC bus, the energy power conversion module of the photovoltaic array is controlled by MPPT (Maximum Power Point Tracking) to make the photovoltaic array output at the maximum power, and the energy power conversion module of the microgrid is controlled at the given voltage of the DC bus when the microgrid operates in the power supply state.

[0092] The given voltage of the DC bus can be understood as a voltage to which the DC bus is stabilized, and can be a voltage value in the above preset voltage range.

[0093] The above control of the energy power conversion module of the high-entropy energy at the given voltage of the DC bus can include:

[0094] The energy power conversion module of the high-entropy energy is controlled at the given voltage of the DC bus based on a first control loop.

[0095] The above control of the energy power conversion module of the high-entropy energy at the given voltage of the DC bus based on the first control loop can include:

[0096] An actual voltage of the DC bus is obtained, and a voltage error value of the DC bus is calculated based on the given voltage of the DC bus and the actual voltage of the DC bus;

[0097] A current given value of the high-entropy energy is determined based on the voltage error value of the DC bus and a preset first transfer function;

[0098] An actual current value of the high-entropy energy is obtained, and a current error value of the high-entropy energy is obtained according to the current given value of the high-entropy energy and the actual current value of the high-entropy energy;

[0099] A control amount of the energy power conversion module of the high-entropy energy is determined according to the current error value of the high-entropy energy and a preset second transfer function, and the energy power conversion module of the high-entropy energy is controlled according to the control amount of the energy power conversion module of the high-entropy energy.

[0100] The voltage error value of the DC bus can be multiplied by a preset first transfer function to obtain a current given value of the high-entropy energy source. The current error value of the high-entropy energy source is multiplied by a preset second transfer function to determine a control quantity of the energy power conversion module of the high-entropy energy source.

[0101] The microgrid works in a power supply state, i.e., the microgrid works in a discharge state. The implementation process of controlling the energy power conversion module of the high-entropy energy source with the given voltage of the DC bus is similar to that of controlling the energy power conversion module of the microgrid with the given voltage of the DC bus, and will not be repeated. The implementation process of controlling the energy power conversion module of the energy storage battery with the given voltage of the DC bus is similar to that of controlling the energy power conversion module of the high-entropy energy source with the given voltage of the DC bus, and will not be repeated.

[0102] The above-mentioned energy power conversion module for controlling the photovoltaic array through MPPT controls the photovoltaic array to output maximum power, which includes:

[0103] Based on the second control loop, the energy power conversion module for controlling the photovoltaic array through MPPT controls the photovoltaic array to output maximum power.

[0104] The above-mentioned energy power conversion module for controlling the photovoltaic array through MPPT controls the photovoltaic array to output maximum power based on the second control loop, which can include:

[0105] The actual voltage and the actual current of the photovoltaic array are obtained.

[0106] The actual voltage of the photovoltaic array and the actual current of the photovoltaic array are input into a preset MPPT controller to obtain a voltage given value of the photovoltaic array.

[0107] The voltage error value of the photovoltaic array is determined according to the voltage given value of the photovoltaic array and the actual voltage of the photovoltaic array.

[0108] The current given value of the photovoltaic array is obtained according to the voltage error value of the photovoltaic array and a preset third transfer function.

[0109] The current error value of the photovoltaic array is obtained according to the current given value of the photovoltaic array and the actual current of the photovoltaic array.

[0110] The control quantity of the energy power conversion module of the photovoltaic array is obtained according to the current error value of the photovoltaic array and a preset fourth transfer function.

[0111] The energy power conversion module of the photovoltaic array is controlled to output maximum power according to the control quantity of the energy power conversion module of the photovoltaic array.

[0112] The voltage error value of the photovoltaic array is multiplied by a preset third transfer function to obtain a current given value of the photovoltaic array; and the current error value of the photovoltaic array is multiplied by a preset fourth transfer function to obtain a control quantity of the energy power conversion module of the photovoltaic array.

[0113] In some embodiments, in S102, the energy power conversion modules of the respective distributed energy sources are controlled to operate in a load demand meeting mode, including:

[0114] obtaining a demand power of the load;

[0115] controlling the energy power conversion modules of the respective distributed energy sources based on the priority order of the respective distributed energy sources and the demand power of the load, so that the output power of the respective distributed energy sources meets the demand power of the load.

[0116] In some embodiments, the controlling the energy power conversion modules of the respective distributed energy sources based on the priority order of the respective distributed energy sources and the demand power of the load, so that the output power of the respective distributed energy sources meets the demand power of the load, includes:

[0117] when the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, controlling the energy power conversion module of the high-entropy energy source to supply power to meet the demand power of the load, controlling the photovoltaic array and the energy power conversion module to be in standby mode, and controlling the energy power conversion modules of the micro-grid and the energy storage battery to be in charging mode or standby mode;

[0118] when the demand power of the load is greater than the maximum output power of the high-entropy energy source and less than or equal to the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, controlling the energy power conversion module of the high-entropy energy source to output the maximum power, controlling the energy power conversion module of the photovoltaic array to compensate for the power difference between the load and the high-entropy energy source, and controlling the energy power conversion modules of the micro-grid and the energy storage battery to be in charging mode or standby mode;

[0119] when the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array, and the micro-grid, controlling the energy power conversion modules of the high-entropy energy source and the photovoltaic array to output the respective maximum powers, controlling the energy power conversion module of the micro-grid to compensate for the power difference between the load and the high-entropy energy source and the photovoltaic array, and controlling the energy power conversion module of the energy storage battery to be in charging mode or standby mode;

[0120] When the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the microgrid, and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array, the microgrid and the energy storage battery, the energy power conversion modules of the high-entropy energy source, the photovoltaic array and the microgrid all output their respective maximum powers, the energy power conversion module of the energy storage battery is controlled to work in a discharging mode, and the energy power conversion module of the energy storage battery compensates for the power difference between the load and the high-entropy energy source, the photovoltaic array and the microgrid.

[0121] In some possible implementation manners, when the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, if there is surplus power after the energy power conversion module of the high-entropy energy source supplies power to meet the demand power of the load, and the remaining power of the first energy storage battery of the microgrid is less than a preset remaining power, the energy power module of the microgrid is controlled to work in a charging mode to charge the first energy storage battery of the microgrid, otherwise, the energy power module of the microgrid is controlled to work in a standby mode. Similarly, when the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, if there is surplus power after the energy power conversion module of the high-entropy energy source supplies power to meet the demand power of the load, and the remaining power of a separate energy storage battery (i.e., a second energy storage battery) as a distributed energy source is less than a preset remaining power, the energy power module of the energy storage battery is controlled to work in a charging mode to charge the energy storage battery, otherwise, the energy power module of the energy storage battery is controlled to work in a standby mode.

[0122] In some possible implementation manners, when the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, if there is surplus power after the energy power conversion module of the high-entropy energy source supplies power to meet the demand power of the load, and the remaining power of the first energy storage battery of the microgrid is less than a preset remaining power, the energy power module of the microgrid is controlled to work in a charging mode to charge the first energy storage battery of the microgrid, otherwise, the energy power module of the microgrid is controlled to work in a standby mode. Similarly, when the demand power of the load is less than or equal to the maximum output power of the high-entropy energy source, if there is surplus power after the energy power conversion module of the high-entropy energy source supplies power to meet the demand power of the load, and the remaining power of a separate energy storage battery (i.e., a second energy storage battery) as a distributed energy source is less than a preset remaining power, the energy power module of the energy storage battery is controlled to work in a charging mode to charge the energy storage battery, otherwise, the energy power module of the energy storage battery is controlled to work in a standby mode.

[0123] Similarly, when the demand power of the load is greater than the maximum output power of the high-entropy energy source, and less than or equal to the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, if there is surplus power after the energy power conversion module of the photovoltaic array compensates for the power difference between the load and the high-entropy energy source, and the remaining power of the first energy storage battery of the microgrid is less than a preset remaining power, the energy power module of the microgrid is controlled to work in a charging mode, otherwise, the energy power module of the microgrid is controlled to work in a standby mode. Similarly, when the demand power of the load is greater than the maximum output power of the high-entropy energy source, and less than or equal to the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, if there is surplus power after the energy power conversion module of the photovoltaic array compensates for the power difference between the load and the high-entropy energy source, and the remaining power of a separate energy storage battery as a distributed energy source is less than a preset remaining power, the energy power module of the energy storage battery is controlled to work in a charging mode to charge the energy storage battery, otherwise, the energy power module of the energy storage battery is controlled to work in a standby mode.

[0124] The remaining of the energy power conversion module of the photovoltaic array after compensating for the power difference between the load and the high-entropy energy source refers to that the maximum output power of the photovoltaic array is greater than the power difference between the load and the high-entropy energy source, and the photovoltaic array has a surplus after supplying power to the load, which can be used to supply power to the micro-grid or the energy storage battery.

[0125] Similarly, when the demand power of the load is greater than the sum of the maximum output power of the high-entropy energy source and the photovoltaic array, and less than or equal to the sum of the maximum output power of the high-entropy energy source, the photovoltaic array and the micro-grid, if the energy power conversion module of the micro-grid has a surplus after compensating for the power difference between the load and the high-entropy energy source and the photovoltaic array, and the remaining power of the single energy storage battery as a distributed energy source is less than the preset remaining power, the energy power module of the energy storage battery is controlled to work in the charging mode to charge the energy storage battery, otherwise, the energy power module of the energy storage battery is controlled to work in the standby mode.

[0126] The remaining of the energy power conversion module of the micro-grid after compensating for the power difference between the load and the high-entropy energy source and the photovoltaic array refers to that the maximum output power of the micro-grid is greater than the power difference between the load and the high-entropy energy source and the photovoltaic array, and the micro-grid has a surplus after supplying power to the load, which can be used to supply power to the energy storage battery.

[0127] In some possible implementation manners, the above control of the energy power conversion module of the high-entropy energy source to supply power to meet the demand power of the load can include:

[0128] Based on the third control loop, the energy power conversion module of the high-entropy energy source is controlled to supply power to meet the demand power of the load.

[0129] The above control of the energy power conversion module of the high-entropy energy source to supply power to meet the demand power of the load based on the third control loop can include:

[0130] An actual voltage of the DC bus is obtained, and a voltage error value of the DC bus is calculated based on a given voltage of the DC bus and the actual voltage of the DC bus;

[0131] Based on the voltage error value of the DC bus and a preset first transfer function, a first current reference value of the high-entropy energy source is determined;

[0132] An actual voltage of the high-entropy energy source and a given voltage of the high-entropy energy source are obtained, and a voltage error value of the high-entropy energy source is calculated based on the given voltage of the high-entropy energy source and the actual voltage of the high-entropy energy source;

[0133] Based on the voltage error value of the high-entropy energy source and a preset sixth transfer function, a second current reference value of the high-entropy energy source is determined;

[0134] The smaller one of the first current reference value of the high-entropy energy source and the second current reference value of the high-entropy energy source is taken as a current given value of the high-entropy energy source.

[0135] An actual current value of the high-entropy energy is obtained, and a current error value of the high-entropy energy is obtained according to a given current value of the high-entropy energy and the actual current value of the high-entropy energy.

[0136] A control quantity of an energy power conversion module of the high-entropy energy is determined according to the current error value of the high-entropy energy and a preset second transfer function, and the energy power conversion module of the high-entropy energy is controlled according to the control quantity of the energy power conversion module of the high-entropy energy.

[0137] The given voltage of the high-entropy energy needs to meet the demand power of the load. When the micro-grid and / or the energy storage battery are in the charging mode, the given voltage of the high-entropy energy needs to meet the demand power of the load at the same time, and also meet the charging power of the micro-grid and / or the energy storage battery.

[0138] It should be noted that when the demand power of the load is in different ranges, the control of the energy power conversion module of the high-entropy energy is controlled through the third control loop, only the value of the given voltage of the high-entropy energy is different. For example, when the demand power of the load is greater than the maximum output power of the high-entropy energy, the given voltage of the high-entropy energy needs to meet the maximum output power of the high-entropy energy for output, and so on.

[0139] In the present application, when the load type is a dynamic load, the energy power conversion module of the high-entropy energy is controlled through the first control loop, and when the load type is a steady-state load, the energy power conversion module of the high-entropy energy is controlled through the third control loop. Compared with the first control loop and the third control loop, one voltage loop of the high-entropy power supply is reduced, the current given value does not need to be determined by taking the smaller value of two current reference values, the whole control loop changes less, and it is equivalent to shielding part of the third control loop. Therefore, when the type of the load is switched, the control of the energy power conversion module of the high-entropy energy can be quickly and dynamically switched, without wasting too much time and avoiding power failure.

[0140] Wherein, when the type of the load is a steady-state load, the control mode of the energy power conversion module of the micro-grid and the control mode of the energy power conversion module of the energy storage battery are similar to the control mode of the energy power conversion module of the high-entropy energy, and are not described again.

[0141] In some possible implementation manners, the above-mentioned control of the energy power conversion module of the photovoltaic array to compensate for the power difference between the load and the high-entropy energy can include:

[0142] The energy power conversion module of the photovoltaic array is controlled to compensate for the power difference between the load and the high-entropy energy based on the fourth control loop.

[0143] The fourth control loop based control of the energy power conversion module of the photovoltaic array to compensate for the power difference between the load and the high-entropy energy source can include:

[0144] an actual voltage and an actual current of the photovoltaic array are obtained;

[0145] the actual voltage of the photovoltaic array and the actual current of the photovoltaic array are input into a preset MPPT controller to obtain a voltage set value of the photovoltaic array;

[0146] a voltage error value of the photovoltaic array is determined according to the voltage set value of the photovoltaic array and the actual voltage of the photovoltaic array;

[0147] a current set value of the photovoltaic array is obtained according to the voltage error value of the photovoltaic array and a preset third transfer function;

[0148] the current set value of the photovoltaic array is multiplied by a limiting coefficient to obtain a limiting current set value of the photovoltaic array;

[0149] a current error value of the photovoltaic array is obtained according to the limiting current set value of the photovoltaic array and the actual current of the photovoltaic array;

[0150] a control quantity of the energy power conversion module of the photovoltaic array is obtained according to the current error value of the photovoltaic array and a preset fourth transfer function;

[0151] the energy power conversion module of the photovoltaic array is controlled to make the photovoltaic array output at the maximum power according to the control quantity of the energy power conversion module of the photovoltaic array.

[0152] The limiting coefficient is determined according to the following process:

[0153] an actual voltage of a DC bus and a given voltage of the DC bus are obtained;

[0154] a voltage error value of the DC bus is calculated according to the given voltage of the DC bus and the actual voltage of the DC bus;

[0155] when the voltage error value of the DC bus is greater than a preset error value, the limiting coefficient is 1;

[0156] when the voltage error value of the DC bus is less than or equal to the preset error value, a value obtained by multiplying the voltage error value of the DC bus by a preset fifth transfer function is input into a preset limiting function to obtain the limiting coefficient.

[0157] The preset error value can be set according to actual needs, for example, the preset error value can be 0.

[0158] It should be noted that when the demand power of the load is in different ranges, the energy power conversion module of the photovoltaic array is not in standby mode, and the control of the energy power conversion module of the photovoltaic array is controlled through the fourth control loop.

[0159] In the present application, when the load type is a dynamic load, the energy power conversion module of the photovoltaic array is controlled through the second control loop, and when the load type is a steady-state load, the energy power conversion module of the photovoltaic array is controlled through the fourth control loop. Compared with the second control loop and the fourth control loop, one limiting branch is reduced, the whole control loop changes less, and it is equivalent to shielding only the limiting branch of the fourth control loop. Therefore, when the type of the load is switched, the control of the energy power conversion module of the photovoltaic array can be quickly and dynamically switched without wasting too much time and avoiding power failure.

[0160] The above control process does not consider the energy control instruction of the upper scheduling center, and the energy power conversion module corresponding to the microgrid does not discharge the microgrid, that is, the upper scheduling center does not instruct the energy power conversion module corresponding to the microgrid to discharge the microgrid.

[0161] When the energy control instruction instructs the energy power conversion module corresponding to the microgrid to discharge the microgrid, the demand power of the load and the demand power of the microgrid need to be considered at the same time, and the sum of the demand power of the load and the demand power of the microgrid is taken as the total demand power. Correspondingly, the above control of the energy power conversion module of each distributed energy based on the priority order of each distributed energy and the demand power of the load can make the output power of each distributed energy meet the demand power of the load, and can include:

[0162] When the total demand power is less than or equal to the maximum output power of the high-entropy energy, the energy power conversion module of the high-entropy energy is controlled to supply power to meet the total demand power, the energy power conversion module of the photovoltaic array is controlled to be in standby mode, and the energy power conversion module of the energy storage battery is controlled to be in standby mode or charging mode;

[0163] When the total demand power is greater than the maximum output power of the high-entropy energy and less than or equal to the sum of the maximum output power of the high-entropy energy and the photovoltaic array, the energy power conversion module of the high-entropy energy is controlled to output the maximum power, the energy power conversion module of the photovoltaic array is controlled to compensate for the power difference between the total demand power and the high-entropy energy, and the energy power conversion module of the energy storage battery is controlled to be in standby mode or charging mode;

[0164] When the total demand power is greater than the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the energy storage battery, the energy power conversion module of the high-entropy energy source and the photovoltaic array are controlled to output the maximum power, the energy power conversion module of the energy storage battery is controlled to be in the discharging mode, and the energy power conversion module of the energy storage battery is controlled to compensate for the power difference between the total demand power and the high-entropy energy source and the photovoltaic array.

[0165] When the total demand power is greater than the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the energy storage battery, if the demand power of the load is less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the energy storage battery, the energy power conversion module of the micro-grid is controlled to stop discharging the micro-grid, the energy power conversion modules of the high-entropy energy source and the photovoltaic array are controlled to output the maximum power, the energy power conversion module of the energy storage battery is controlled to be in the discharging mode, and the energy power conversion module of the energy storage battery is controlled to compensate for the power difference between the demand power of the load and the high-entropy energy source and the photovoltaic array; if the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the energy storage battery, the energy power conversion modules of the high-entropy energy source, the photovoltaic array and the energy storage battery are controlled to output the maximum power, and the energy power conversion module of the micro-grid is controlled to compensate for the power difference between the load and the high-entropy energy source, the photovoltaic array and the energy storage battery.

[0166] Wherein, the detailed process can refer to the related description of the foregoing method, and will not be repeated here.

[0167] In some possible implementation manners, the control period of the router aggregation controller is different from the control period of the energy controller, and the control period of the router aggregation controller is greater than the control period of the energy controller.

[0168] The control of the energy power conversion module by the energy controller is locally performed, and thus the control period is short, while the router aggregation controller needs to control the energy power conversion module through the energy controller, and thus the control period is long.

[0169] For example, the control period of the router aggregation controller can be in the order of hundreds of milliseconds, and the control period of the energy controller can be in the order of milliseconds.

[0170] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0171] The following is a device embodiment of the present application. For details not described in detail, reference can be made to the corresponding method embodiments described above.

[0172] Figure 5A structural schematic diagram of a control device of a grid-connected inverter provided by an embodiment of the application is shown, only parts related to the embodiment of the application are shown for the convenience of description, and details are as follows:

[0173] The distributed energy router comprises a DC bus and energy power conversion modules of each distributed energy and load power conversion modules of loads connected with the DC bus. Figure 5 As shown, the multi-modal control device 60 of the distributed energy router can comprise an acquisition module 61, a steady load control module 62 and a dynamic load control module 63.

[0174] The acquisition module 61 is configured to acquire the type of the load.

[0175] The steady load control module 62 is configured to control each energy power conversion module to work in a load demand meeting mode when the type of the load is a steady load; in the load demand meeting mode, the output power of each distributed energy meets the demand power of the load.

[0176] The dynamic load control module 63 is configured to control each energy power conversion module to work in a bus support mode when the type of the load is a dynamic load; in the bus support mode, the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range.

[0177] In a possible implementation, each distributed energy comprises a high-entropy energy, a photovoltaic array, a microgrid and an energy storage battery; the microgrid and the energy storage battery can act as a power supply or a load.

[0178] In a possible implementation, in the dynamic load control module 63, controlling each energy power conversion module to work in the bus support mode comprises:

[0179] controlling the energy power conversion modules of the energy storage battery and the high-entropy energy at a given voltage of the DC bus, controlling the energy power conversion module of the photovoltaic array to make the photovoltaic array output power at the maximum power point tracking (MPPT), and when the microgrid works in a power supply state, controlling the energy power conversion module of the microgrid at the given voltage of the DC bus.

[0180] In a possible implementation, the acquisition module 61 is specifically configured to:

[0181] acquire the working parameter of the DC bus;

[0182] when detecting that the working parameter of the DC bus rapidly drops, determining that the type of the load is a dynamic load; otherwise, determining that the type of the load is a steady load.

[0183] The working parameter includes a voltage; and when a voltage drop of the DC bus within a preset time length is greater than a preset voltage difference, or a voltage drop rate of the DC bus is greater than a preset rate, it is determined that the working parameter of the DC bus drops rapidly.

[0184] In a possible implementation, in the steady-state load control module 62, the operation of each energy power conversion module in the load demand meeting mode is controlled, including:

[0185] The demand power of the load is obtained.

[0186] Based on the priority order of each distributed energy and the demand power of the load, the energy power conversion module of each distributed energy is controlled to make the output power of each distributed energy meet the demand power of the load.

[0187] In a possible implementation, in the steady-state load control module 62, based on the priority order of each distributed energy and the demand power of the load, the energy power conversion module of each distributed energy is controlled to make the output power of each distributed energy meet the demand power of the load, including:

[0188] When the demand power of the load is less than or equal to the maximum output power of the high-entropy energy, the energy power conversion module of the high-entropy energy is controlled to supply power to meet the demand power of the load, the energy power conversion module of the photovoltaic array is controlled to be in standby mode, and the energy power conversion modules of the microgrid and the energy storage battery are controlled to be in charging mode or standby mode.

[0189] When the demand power of the load is greater than the maximum output power of the high-entropy energy and less than or equal to the sum of the maximum output powers of the high-entropy energy and the photovoltaic array, the energy power conversion module of the high-entropy energy is controlled to output the maximum power, the energy power conversion module of the photovoltaic array is controlled to compensate for the power difference between the load and the high-entropy energy, and the energy power conversion modules of the microgrid and the energy storage battery are controlled to be in charging mode or standby mode.

[0190] When the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy and the photovoltaic array and less than or equal to the sum of the maximum output powers of the high-entropy energy, the photovoltaic array and the microgrid, the energy power conversion modules of the high-entropy energy and the photovoltaic array are controlled to output the maximum power of each, the energy power conversion module of the microgrid is controlled to compensate for the power difference between the load and the high-entropy energy and the photovoltaic array, and the energy power conversion module of the energy storage battery is controlled to be in charging mode or standby mode.

[0191] When the required power of the load is greater than the sum of the maximum output powers of the high-entropy energy, photovoltaic array and microgrid, and less than or equal to the sum of the maximum output powers of the high-entropy energy, photovoltaic array, microgrid and energy storage battery, the energy power conversion modules of the high-entropy energy, photovoltaic array and microgrid are controlled to output their respective maximum powers, the energy power conversion module of the energy storage battery is controlled to operate in discharge mode, and the energy power conversion module of the energy storage battery is controlled to compensate for the power difference between the load and the high-entropy energy, photovoltaic array and microgrid.

[0192] Figure 6 Schematic diagram of a controller provided by an embodiment of the present invention. Figure 6 As shown, the controller 7 of this embodiment includes: a processor 70 and a memory 71. The memory 71 is used to store a computer program 72, and the processor 70 is used to call and run the computer program 72 stored in the memory 71 to perform the steps of the above-mentioned multi-modal control method embodiments of each distributed energy router, such as Figure 1 Alternatively, the processor 70 is configured to call and run the computer program 72 stored in the memory 71 to implement the functions of the modules / units in the above-mentioned device embodiments, for example Figure 6 Functions of the modules / units 61 to 63 are shown.

[0193] For example, the computer program 72 may be divided into one or more modules / units, which are stored in the memory 71 and executed by the processor 70 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 72 in the controller 7. For example, the computer program 72 may be divided into Figure 6 Modules / units 61 to 63 are shown.

[0194] The controller 7 may be the above-mentioned router centralized controller, and may include, but not limited to, a processor 70 and a memory 71. Those skilled in the art will appreciate that Figure 6 It is only an example of the controller 7 and does not constitute a limitation of the controller 7. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the controller may also include input and output devices, network access devices, buses, etc.

[0195] The processor 70 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0196] The memory 71 can be an internal storage unit of the controller 7, for example, a hard disk or a memory of the controller 7. The memory 71 can also be an external storage device of the controller 7, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory 71 can also include both the internal storage unit and the external storage device of the controller 7. The memory 71 is used to store the computer program and other programs and data required by the controller. The memory 71 can also be used to temporarily store data that has been output or will be output.

[0197] Corresponding to the above controller, the embodiment of the present application further provides a distributed energy router, comprising a DC bus, an energy power conversion module of each distributed energy connected with the DC bus and a load power conversion module of a load and the controller as described above;

[0198] The energy power conversion module and the load power conversion module are controlled by the controller.

[0199] The distributed energy router provided by the present application can well solve the problem of dispersion of intelligent networked traffic system devices, which is scattered along the highway and expressway at a certain distance together with the intelligent networked traffic system. In addition to the microgrid providing energy for the intelligent networked traffic system, the high-entropy energy, photovoltaic array and energy storage battery can also supplement the power energy for the intelligent networked traffic system.

[0200] Corresponding to the above distributed energy router, the embodiment of the present application further provides an intelligent networked traffic system, comprising the distributed energy router as described above.

[0201] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be realized in the form of hardware or software. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction, and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0202] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0203] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0204] In the embodiments provided by the present application, it should be understood that the disclosed devices / controllers and methods can be implemented in other ways. For example, the above-described device / controller embodiments are only schematic. For example, the division of the modules or units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or in other forms.

[0205] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0206] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0207] The integrated module / unit, if realized in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of each distributed energy router multi-modal control method embodiment can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0208] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application, and should be included in the protection scope of the present application.

Claims

1. A multi-modal control method for a distributed energy router, characterized in that: The distributed energy router comprises a DC bus and an energy power conversion module of each distributed energy connected with the DC bus and a load power conversion module of a load; the multi-modal control method comprises: acquiring a type of the load; when the type of the load is a steady-state load, controlling each energy power conversion module to work in a load demand meeting mode; in the load demand meeting mode, output power of each distributed energy meets demand power of the load; when the type of the load is a dynamic load, controlling each energy power conversion module to work in a bus support mode; in the bus support mode, the output power of each distributed energy stabilizes an operating parameter of the DC bus within a preset parameter range.

2. The multi-modal control method of a distributed energy router according to claim 1, wherein, The each distributed energy comprises a high-entropy energy, a photovoltaic array, a microgrid and an energy storage battery; the microgrid and the energy storage battery can act as a power supply or a load.

3. The multi-modal control method of a distributed energy router according to claim 2, wherein, The controlling each energy power conversion module to work in the bus support mode comprises: controlling energy power conversion modules of the energy storage battery and the high-entropy energy at a given voltage of the DC bus, controlling an energy power conversion module of the photovoltaic array to make the photovoltaic array output at a maximum power through MPPT, and when the microgrid works in a power supply state, controlling an energy power conversion module of the microgrid at the given voltage of the DC bus.

4. The multi-modal control method of a distributed energy router of claim 1, wherein, The acquiring the type of the load comprises: acquiring an operating parameter of the DC bus; when detecting that the operating parameter of the DC bus rapidly drops, determining that the type of the load is a dynamic load; otherwise, determining that the type of the load is a steady-state load; wherein the operating parameter comprises a voltage; when a voltage drop of the voltage of the DC bus within a preset time length is greater than a preset voltage difference, or a drop rate of the voltage of the DC bus is greater than a preset rate, it is determined that the operating parameter of the DC bus rapidly drops.

5. The multi-modal control method of a distributed energy router of claim 2, wherein, The controlling each energy power conversion module to work in the load demand meeting mode comprises: acquiring demand power of the load; based on a priority order of each distributed energy and based on the demand power of the load, controlling energy power conversion modules of each distributed energy, so that output power of each distributed energy meets the demand power of the load.

6. The multi-modal control method of a distributed energy router according to claim 5, wherein, The based on the priority order of each distributed energy and based on the demand power of the load, controlling the energy power conversion modules of each distributed energy, so that the output power of each distributed energy meets the demand power of the load, comprises: when the demand power of the load is less than or equal to maximum output power of the high-entropy energy, controlling the energy power conversion module of the high-entropy energy to supply power to meet the demand power of the load, controlling the photovoltaic array and the energy power conversion module to be in a standby mode, and controlling the energy power conversion modules of the microgrid and the energy storage battery to be in a charging mode or a standby mode; when the demand power of the load is greater than the maximum output power of the high-entropy energy source and less than or equal to the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array, the energy power conversion module of the high-entropy energy source outputs the maximum power, the energy power conversion module of the photovoltaic array compensates for the power difference between the load and the high-entropy energy source, and the energy power conversion module of the micro-grid and the energy storage battery is in the charging mode or standby mode; when the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source and the photovoltaic array and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the micro-grid, the energy power conversion modules of the high-entropy energy source and the photovoltaic array output the respective maximum powers, the energy power conversion module of the micro-grid compensates for the power difference between the load and the high-entropy energy source and the photovoltaic array, and the energy power conversion module of the energy storage battery is in the charging mode or standby mode; when the demand power of the load is greater than the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array and the micro-grid and less than or equal to the sum of the maximum output powers of the high-entropy energy source, the photovoltaic array, the micro-grid and the energy storage battery, the energy power conversion modules of the high-entropy energy source, the photovoltaic array and the micro-grid output the respective maximum powers, the energy power conversion module of the energy storage battery works in the discharging mode, and the energy power conversion module of the energy storage battery compensates for the power difference between the load and the high-entropy energy source, the photovoltaic array and the micro-grid.

7. A multi-modal control device for a distributed energy router, characterized in that: The distributed energy router comprises a DC bus, energy power conversion modules of each distributed energy connected to the DC bus and load power conversion modules of a load; and the multi-modal control device comprises: an acquisition module configured to acquire a type of the load; a steady-state load control module configured to, when the type of the load is a steady-state load, control each energy power conversion module to work in a load demand meeting mode; in the load demand meeting mode, the output power of each distributed energy meets the demand power of the load; a dynamic load control module configured to, when the type of the load is a dynamic load, control each energy power conversion module to work in a bus support mode; in the bus support mode, the output power of each distributed energy stabilizes the working parameter of the DC bus within a preset parameter range.

8. A controller characterized by comprising: A computer program product comprising a memory for storing a computer program and a processor for invoking and running the computer program stored in the memory to execute the multi-modal control method of the distributed energy router according to any one of claims 1 to 6.

9. A distributed energy router, characterized by, A controller according to claim 8. The energy power conversion modules and the load power conversion modules are controlled by the controller.

10. An intelligent connected vehicle system, characterized in that, A distributed energy router according to claim 9.

Citation Information

Patent Citations

  • Distributed photovoltaic energy storage system and energy management method

    CN103390900A

  • Wireless electric energy router and control method thereof

    CN110867898A