Multi-energy collaborative distributed intelligent micro-grid system and control method

Abstract

The invention relates to the field of new energy power electronics, and discloses a multi-energy collaborative distributed intelligent micro-grid system and a control method.The system comprises an intelligent central host, a fan, a photovoltaic array, an efficient range extender and a mains supply access unit, and a five-electricity-in-one energy fusion framework is constructed; according to the control method, the intelligent central host is taken as a core, and on the basis of a green power priority principle, by collecting load requirements, power generation states of all energy sources and SOC values of the energy storage batteries in real time and dynamically switching power supply modes, cooperative scheduling of wind energy, photovoltaic energy, efficient extended-range power generation, the energy storage batteries and commercial power is realized. According to the invention, uninterrupted power supply can be realized, the green power ratio is greater than or equal to 90%, the response delay is less than or equal to 30ms, plug-and-play of a mobile power generation unit and virtual power plant construction are supported, and the system is suitable for various scenes such as industrial and commercial parks, remote areas, emergency power supply and the like, and has stability, economical efficiency and environmental protection property.

Description

Technical Field

[0001] This invention relates to the field of new energy power electronics technology, specifically to a multi-energy coordinated distributed smart microgrid system and control method. Background Technology

[0002] Existing distributed microgrids mainly rely on a single renewable energy source, which results in significant defects in practical applications. For example, in wind-solar hybrid systems, photovoltaic power generation is greatly affected by day and night, while wind power depends on high wind speeds (usually requiring ≥4m / s to start). This makes such systems susceptible to power outages at night or during periods of low wind speed.

[0003] In most microgrid systems, diesel backup generators are used. However, the application of diesel generators has drawbacks such as response delay >200ms, noise >100dB, and low fuel efficiency. These drawbacks make it difficult for the system to be scaled up in scenarios with low latency requirements, such as hospitals and data centers. At the same time, the high noise of diesel generators often fails to meet the requirements of GB3096-2008 "Environmental Noise Standard", which further hinders the popularization of existing systems.

[0004] Traditional multi-energy coordinated control only supports the coordination of wind, solar, and energy storage systems, lacking the dynamic access capability for extended-range power generation systems. When used as a virtual power plant, the overall architecture relies on a centralized cloud control platform, which results in the loss of dispatching capabilities when the system experiences a network outage. Furthermore, it fails to address the plug-and-play interface issue for mobile power generation units (such as range extenders).

[0005] In terms of policy, the Ministry of Industry and Information Technology's "Smart Photovoltaic Industry Action Plan" requires off-grid systems to have a green electricity ratio of ≥90%, but the actual green electricity ratio of traditional solutions is only 65-70%. In terms of market application, according to data from the National Energy Administration, areas without grid coverage in China still rely on diesel power generation (cost per kilowatt-hour > 2.5 yuan), so there is an urgent need for low-fuel-consumption hybrid solutions in the market.

[0006] Based on the above technical background, the core problems that this invention mainly solves in system applications are: 1) Energy continuity defects: power outages caused by wind and solar power fluctuations; 2) Insufficient economic efficiency: high fuel consumption and short equipment lifespan; 3) Response delay: Backup power switching > 30ms, which does not meet the GB / T30137-2013 "UPS Uninterruptible Power Supply" standard; 4) Scalability limitations: Unable to dynamically connect mobile power generation units to build virtual power plants. Summary of the Invention

[0007] The purpose of this invention is to address the shortcomings of existing technologies by proposing a multi-energy collaborative distributed smart microgrid system and control method.

[0008] To achieve the above objectives, the present invention adopts the following technical solution: A multi-energy collaborative distributed smart microgrid system includes a smart central host, a ducted dual-rotor silent wind turbine, a photovoltaic array, a mobile high-efficiency range extender, and a mains power access unit; the smart central host, as the core of the system, integrates a smart power distribution unit, a rectifier, a PCS, a battery, a photovoltaic inverter, and a load end, and outputs 220V / 380V AC power to meet different load requirements; The ducted dual-rotor silent wind turbine can generate electricity stably when the wind speed is ≥2m / s. The rated power of a single unit is 20kW, and the daily power generation is 300kwh. It is connected to the intelligent central host through a standard MC4 connector to maximize the utilization rate of wind energy. The photovoltaic array supports on-demand access and is connected to the photovoltaic inverter via a DC bus interface, adapting to the photovoltaic installation needs of different buildings. The mobile high-efficiency range extender has a rated power of 20kW, an operating noise of ≤75db, can generate 4.2kWh of electricity per liter of 92-octane gasoline, and a thermal efficiency of ≥50%. It can be plugged and used directly through a standard 9-hole DC fast charging gun interface and undertakes the tasks of backup power and auxiliary power generation. The mains power access unit is connected to the intelligent central host through an AC input interface, supporting flexible switching between grid-connected and off-grid modes.

[0009] Furthermore, the intelligent central host has a built-in central controller for collecting information on wind turbine power generation, photovoltaic power generation, load power demand, energy storage battery SOC value, mains power status and range extender status, and executing collaborative control logic; the battery is a lithium iron phosphate battery pack with a capacity of 10kWh-100kWh, which supports dynamic configuration.

[0010] Furthermore, the multi-energy coordinated control method of the system is characterized by comprising the following steps: S1: Data acquisition, the intelligent central host collects in real time the wind power output of the ducted dual rotor silent wind turbine, the photovoltaic power output of the photovoltaic array, the operating status of the mobile high-efficiency range extender, the SOC value of the lithium iron phosphate battery and the real-time power demand on the load side. S2: Prioritize green electricity, comparing load-side electricity demand with total wind and solar power output: If the load demand is less than or equal to the combined output of wind power and solar power, proceed to step S3. If the load demand is greater than the combined output of wind power and solar power, proceed to step S4; S3: Surplus power dispatch, determining whether the system meets grid connection requirements: If grid connection conditions are met, further determine whether a power grid dispatching instruction exists: If present, the surplus electricity will be fed back into the power grid; If not, check the SOC value of the lithium iron phosphate battery. If SOC < preset threshold 2, use the remaining power to charge the battery until SOC ≥ threshold 2, and then send the remaining power to the grid. If grid connection is not possible, in the off-grid state, the SOC value of the lithium iron phosphate battery is detected. If the SOC < threshold 2, the remaining power is used for charging. If SOC ≥ threshold 2, control the wind turbine / photovoltaic array to reduce power generation and avoid battery overcharging; S4: Power replenishment when the battery is low, controlling the release of power from the lithium iron phosphate battery while simultaneously monitoring the battery's SOC value in real time. If SOC ≥ preset threshold 1, maintain battery discharge state until load demand ≤ wind power + solar power output; If SOC < threshold 1, determine whether it can be connected to mains power: If a connection to mains power is available, further determine whether the mains power is in its peak period: If it is during peak power period, start the mobile high-efficiency range extender to replenish power and charge the battery at the same time until SOC≥threshold2, then stop the range extender; If it is an off-peak period, connect to the mains power supply for supplemental power and charge the battery at the same time until the SOC is greater than or equal to the threshold 2, then stop charging with the mains power. If mains power cannot be connected, start the mobile high-efficiency range extender to replenish power and charge the battery at the same time until SOC ≥ threshold 2, then stop the range extender. S5: Dynamic adjustment, continuously cycling through steps S1-S4, responding in real time to fluctuations in multi-energy output and load changes, ensuring power outage time ≤30ms, meeting UPS uninterruptible power supply standards.

[0011] Preferably, the ducted dual-rotor silent fan has a unit size of 2m×2m×2m and occupies an area of ​​4m². 2 Weighing 600kg, with a daily power generation capacity of ≥300kWh; the intelligent central host unit measures 1.5m × 0.5m × 2m, occupying an area of ​​0.75m². 2 The standard system configuration ratio is 1:3:1 for intelligent central host, ducted twin-rotor silent fan, and mobile high-efficiency range extender. The number of fans can be expanded according to needs, with a maximum of 3 units.

[0012] Preferably, the mobile high-efficiency range extender has dimensions of 1m × 0.5m × 0.5m and occupies an area of ​​0.5m². 2 It adopts a fuel-powered design, supports rapid relocation and plug-and-play functionality, and communicates with the intelligent central host through an expansion interface module to receive start / stop and power adjustment commands.

[0013] Preferably, the lithium iron phosphate battery supports ≥3000 charge-discharge cycles, operates in a temperature range of -20℃ to 60℃, has built-in overcharge, over-discharge, and over-temperature protection mechanisms, and its capacity can be expanded from 10kWh to 100kWh according to user needs.

[0014] Furthermore, the response time for prioritizing green electricity in step S2 is ≤10ms; In step S4, the startup delay of the mobile high-efficiency range extender is ≤20ms, ensuring that the overall power supply switching delay is ≤30ms.

[0015] Furthermore, the preset threshold 1 of 20%-30% and threshold 2 of 80%-90% in steps S3 and S4 can be adjusted according to the user's power consumption scenario. In emergency scenarios, threshold 1 can be increased to 30%-40%, and in industrial and commercial scenarios, threshold 2 can be reduced to 70%-80%.

[0016] Furthermore, the grid connection condition judgment in step S3 includes grid voltage and frequency stability detection. When the grid voltage fluctuation is ≤ ±5% and the frequency fluctuation is ≤ ±0.5Hz, it is determined that the grid connection condition is met. When the surplus power is transmitted, a PCS converter is used to achieve power smoothing control.

[0017] Furthermore, it also includes a remote monitoring step: the intelligent central host communicates with the mobile APP through the cloud platform to upload power generation data, energy storage status, energy consumption analysis and fault alarm information in real time, and supports remote adjustment of threshold 1, threshold 2 and peak power period parameters.

[0018] Preferably, the expansion interface module of the intelligent central host adopts a standard 9-hole DC fast charging gun interface, and the DC cable supports a maximum current of 60A and a 15mm diameter. 2 Cables.

[0019] The present invention has the following beneficial effects: 1. Improved power supply continuity: By utilizing five backup energy sources—wind power, solar power, range extender, energy storage, and grid power—the problem of power outages caused by fluctuations in a single energy source is solved, with a response latency of ≤30ms, meeting the needs of emergency scenarios; 2. Economic optimization: The range extender has a fuel efficiency of 4.2 kWh / L, reducing the cost per kilowatt-hour to below 2.5 yuan, with green electricity accounting for ≥90%, which is in line with policy guidance and reduces users' electricity costs; 3. High flexibility and scalability: Supports plug-and-play range extenders and parallel construction of virtual power plants by multiple systems, adaptable to various scenarios such as industrial and commercial, remote areas, and emergency response; 4. Energy storage system: Equipped with highly stable lithium iron phosphate batteries, with battery capacity dynamically configured from 10kWh to 100kWh, allowing users to choose their own power consumption. 5. High level of intelligence: It supports remote monitoring via cloud and mobile devices, automatically adjusts energy dispatching strategies without manual intervention, and reduces operation and maintenance costs.

[0020] When the system is operating in an off-grid island, this invention can form a virtual power plant through multiple parallel expansion methods, enabling large electricity users to achieve a true zero-carbon factory. Attached Figure Description

[0021] Figure 1 This is a diagram of the distributed smart microgrid system architecture for multi-energy collaboration according to the present invention; Figure 2 This is a flowchart of the multi-energy coordinated control method of the present invention.

[0022] In the diagram: 100, Ducted Twin-Rotor Silent Fan; 200, Highly Integrated Micro-Power Station; 300, Intelligent Central Host; 310, Intelligent Power Distribution Unit; 320, Rectifier; 330, PCS; 340, Battery; 350, Photovoltaic Inverter; 360, Load Side; 400, Photovoltaic Array; 500, Mobile High-Efficiency Range Extender; 600, Mains Power Access Unit. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1-2As shown, a multi-energy collaborative distributed smart microgrid system includes a smart central host 300, a ducted dual-rotor silent wind turbine 100, a photovoltaic array 400, a mobile high-efficiency range extender 500, and a mains power access unit 600. The smart central host 300, as the system core, integrates a smart distribution unit 310, a rectifier 320, a PCS 330, a battery 340, a photovoltaic inverter 350, and a load terminal 360, outputting 220V / 380V AC power to meet different load demands. The ducted dual-rotor silent wind turbine 100 can generate electricity stably at wind speeds ≥2m / s, with a single unit rated power of 20kW and a daily power generation of 300kWh. The system connects to the intelligent central host 300 via a standard MC4 connector to maximize wind energy utilization. The photovoltaic array 400 supports on-demand connection and connects to the photovoltaic inverter 350 via a DC bus interface, adapting to the photovoltaic installation needs of different buildings. The mobile high-efficiency range extender 500 has a rated power of 20kW, operating noise ≤75db, generates 4.2kWh of electricity per liter of 92-octane gasoline, and has a thermal efficiency ≥50%. It is plug-and-play via a standard 9-hole DC fast charging gun interface and undertakes backup power and auxiliary power generation tasks. The mains power access unit 600 connects to the intelligent central host 300 via an AC input interface and supports flexible switching between grid-connected and off-grid modes.

[0025] In this embodiment, the intelligent central host 300 has a built-in central controller for collecting information on wind turbine power generation, photovoltaic power generation, load power demand, energy storage battery SOC value, mains power status and range extender status, and executing collaborative control logic; the battery 340 is a lithium iron phosphate battery pack with a capacity of 10kWh-100kWh, which supports dynamic configuration.

[0026] In another embodiment of the present invention, the multi-energy coordinated control method of the system includes the following steps: S1: Data acquisition, the intelligent central host 300 collects in real time the wind power output of the ducted dual rotor silent fan 100, the photovoltaic output of the photovoltaic array 400, the operating status of the mobile high-efficiency range extender 500, the SOC value of the lithium iron phosphate battery and the real-time power demand on the load side. S2: Prioritize green electricity, comparing load-side electricity demand with total wind and solar power output: If the load demand is less than or equal to the combined output of wind power and solar power, proceed to step S3. If the load demand is greater than the combined output of wind power and solar power, proceed to step S4; S3: Surplus power dispatch, determining whether the system meets grid connection requirements: If grid connection conditions are met, further determine whether a power grid dispatching instruction exists: If present, the surplus electricity will be fed back into the power grid; If not, check the SOC value of the lithium iron phosphate battery. If SOC < preset threshold 2, use the remaining power to charge the battery until SOC ≥ threshold 2, and then send the remaining power to the grid. If grid connection is not possible, in the off-grid state, the SOC value of the lithium iron phosphate battery is detected. If the SOC < threshold 2, the remaining power is used for charging. If SOC ≥ threshold 2, control the wind turbine / photovoltaic array to reduce power generation and avoid battery overcharging; S4: Power replenishment when the battery is low, controlling the release of power from the lithium iron phosphate battery while simultaneously monitoring the battery's SOC value in real time. If SOC ≥ preset threshold 1, maintain battery discharge state until load demand ≤ wind power + solar power output; If SOC < threshold 1, determine whether it can be connected to mains power: If a connection to mains power is available, further determine whether the mains power is in its peak period: If it is during peak power period, start the mobile high-efficiency range extender to replenish power and charge the battery at the same time until SOC≥threshold2, then stop the range extender; If it is an off-peak period, connect to the mains power supply for supplemental power and charge the battery at the same time until the SOC is greater than or equal to the threshold 2, then stop charging with the mains power. If mains power cannot be connected, start the mobile high-efficiency range extender 500 directly to replenish power and charge the battery at the same time until SOC ≥ threshold 2, then stop the range extender 500. S5: Dynamic adjustment, continuously cycling through steps S1-S4, responding in real time to fluctuations in multi-energy output and load changes, ensuring power outage time ≤30ms, meeting UPS uninterruptible power supply standards.

[0027] In this embodiment, the ducted dual-rotor silent fan 100 has a unit size of 2m×2m×2m and occupies an area of ​​4m². 2 Weighing 600kg, with a daily power generation capacity of ≥300kWh; the intelligent central host 300 measures 1.5m × 0.5m × 2m, occupying an area of ​​0.75m². 2 The standard configuration ratio of the system is 300 intelligent central host: 100 ducted twin-rotor silent fans: 500 mobile high-efficiency range extenders in a ratio of 1:3:1. The number of fans can be expanded according to needs, with a maximum of 3 units.

[0028] In this embodiment, the mobile high-efficiency range extender 500 has dimensions of 1m × 0.5m × 0.5m and occupies an area of ​​0.5m². 2 It adopts a fuel-powered design, supports rapid relocation and plug-and-play functionality, and communicates with the intelligent central host 300 through an expansion interface module to receive start / stop and power adjustment commands.

[0029] In this embodiment, the lithium iron phosphate battery supports ≥3000 charge-discharge cycles, operates in a temperature range of -20℃ to 60℃, has built-in overcharge, over-discharge, and over-temperature protection mechanisms, and its capacity can be expanded from 10kWh to 100kWh according to user needs.

[0030] In another embodiment of the present invention, the response time for green electricity priority determination in step S2 is ≤10ms; In step S4, the startup delay of the mobile high-efficiency range extender is ≤20ms, ensuring that the overall power supply switching delay is ≤30ms.

[0031] In another embodiment of the present invention, the preset threshold 1 of 20%-30% and threshold 2 of 80%-90% in steps S3 and S4 can be adjusted according to the user's power consumption scenario. In emergency scenarios, threshold 1 can be increased to 30%-40%, and in industrial and commercial scenarios, threshold 2 can be reduced to 70%-80%.

[0032] In another embodiment of the present invention, the grid connection condition judgment in step S3 includes grid voltage and frequency stability detection. When the grid voltage fluctuation is ≤ ±5% and the frequency fluctuation is ≤ ±0.5Hz, it is determined that the grid connection condition is met. When the surplus power is transmitted, a PCS converter is used to achieve power smoothing control.

[0033] In another embodiment of the present invention, a remote monitoring step is also included: the intelligent central host 300 communicates with the mobile APP through the cloud platform to upload power generation data, energy storage status, energy consumption analysis and fault alarm information in real time, and supports remote adjustment of threshold 1, threshold 2 and peak power period parameters.

[0034] In another embodiment of the present invention, the expansion interface module of the intelligent central host 300 adopts a standard 9-hole DC fast charging gun interface, the DC cable supports a maximum current of 60A, and is 15mm thick. 2 Cables.

[0035] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multi-energy coordinated distributed smart microgrid system, characterized in that, It includes an intelligent central host, a ducted dual-rotor silent fan, a photovoltaic array, a mobile high-efficiency range extender, and a mains power access unit; the intelligent central host: as the core of the system, integrates an intelligent power distribution unit, a rectifier, a PCS, a battery, a photovoltaic inverter, and a load end, and outputs 220V / 380V AC power to meet different load requirements; The ducted dual-rotor silent wind turbine can generate electricity stably when the wind speed is ≥2m / s. The rated power of a single unit is 20kW, and the daily power generation is 300kwh. It is connected to the intelligent central host through a standard MC4 connector to maximize the utilization rate of wind energy. The photovoltaic array supports on-demand access and is connected to the photovoltaic inverter via a DC bus interface, adapting to the photovoltaic installation needs of different buildings; The mobile high-efficiency range extender has a rated power of 20kW, an operating noise of ≤75db, can generate 4.2kWh of electricity per liter of 92-octane gasoline, and a thermal efficiency of ≥50%. It can be plugged and used directly through a standard 9-hole DC fast charging gun interface and undertakes the tasks of backup power and auxiliary power generation. The mains power access unit is connected to the intelligent central host through an AC input interface, supporting flexible switching between grid-connected and off-grid modes.

2. The multi-energy coordinated distributed smart microgrid system according to claim 1, characterized in that: The intelligent central host has a built-in central controller for collecting information on wind turbine power generation, photovoltaic power generation, load power demand, energy storage battery SOC value, mains power status and range extender status, and executing collaborative control logic; the battery is a lithium iron phosphate battery pack with a capacity of 10kWh-100kWh, which supports dynamic configuration.

3. The multi-energy coordinated control method for the system according to claims 1-2, characterized in that, Includes the following steps: S1: Data acquisition, the intelligent central host collects in real time the wind power output of the ducted dual rotor silent wind turbine, the photovoltaic power output of the photovoltaic array, the operating status of the mobile high-efficiency range extender, the SOC value of the lithium iron phosphate battery and the real-time power demand on the load side. S2: Prioritize green electricity, comparing load-side electricity demand with total wind and solar power output: If the load demand is less than or equal to the combined output of wind power and solar power, proceed to step S3. If the load demand is greater than the combined output of wind power and solar power, proceed to step S4; S3: Surplus power dispatch, determining whether the system meets grid connection requirements: If grid connection conditions are met, further determine whether a power grid dispatching instruction exists: If present, the surplus electricity will be fed back into the power grid; If not, check the SOC value of the lithium iron phosphate battery. If SOC < preset threshold 2, use the remaining power to charge the battery until SOC ≥ threshold 2, and then send the remaining power to the grid. If grid connection is not possible, in the off-grid state, the SOC value of the lithium iron phosphate battery is detected. If the SOC < threshold 2, the remaining power is used for charging. If SOC ≥ threshold 2, control the wind turbine / photovoltaic array to reduce power generation and avoid battery overcharging; S4: Power replenishment when the battery is low, controlling the release of power from the lithium iron phosphate battery while simultaneously monitoring the battery's SOC value in real time. If SOC ≥ preset threshold 1, maintain battery discharge state until load demand ≤ wind power + solar power output; If SOC < threshold 1, determine whether it can be connected to mains power: If a connection to mains power is available, further determine whether the mains power is in its peak period: If it is during peak power period, start the mobile high-efficiency range extender to replenish power and charge the battery at the same time until SOC≥threshold2, then stop the range extender; If it is an off-peak period, connect to the mains power supply for supplemental power and charge the battery at the same time until the SOC is greater than or equal to the threshold 2, then stop charging with the mains power. If mains power cannot be connected, start the mobile high-efficiency range extender to replenish power and charge the battery at the same time until SOC ≥ threshold 2, then stop the range extender. S5: Dynamic adjustment, continuously cycling through steps S1-S4, responding in real time to fluctuations in multi-energy output and load changes, ensuring power outage time ≤30ms, meeting UPS uninterruptible power supply standards.

4. The multi-energy coordinated distributed smart microgrid system according to claim 1, characterized in that, The ducted twin-rotor silent fan has a single unit size of 2m×2m×2m and occupies an area of ​​4m². 2 Weighing 600kg, with a daily power generation capacity of ≥300kWh; the intelligent central host unit measures 1.5m × 0.5m × 2m, occupying an area of ​​0.75m². 2 The standard system configuration ratio is 1:3:1 for intelligent central host, ducted twin-rotor silent fan, and mobile high-efficiency range extender. The number of fans can be expanded according to needs, with a maximum of 3 units.

5. A multi-energy coordinated distributed smart microgrid system according to claim 1, characterized in that, The mobile high-efficiency range extender measures 1m × 0.5m × 0.5m and occupies an area of ​​0.5m². 2 It adopts a fuel-powered design, supports rapid relocation and plug-and-play functionality, and communicates with the intelligent central host through an expansion interface module to receive start / stop and power adjustment commands.

6. A multi-energy coordinated distributed smart microgrid system according to claim 1, characterized in that, The lithium iron phosphate battery supports ≥3000 charge-discharge cycles, operates in a temperature range of -20℃ to 60℃, has built-in overcharge, over-discharge, and over-temperature protection mechanisms, and its capacity can be expanded from 10kWh to 100kWh according to user needs.

7. The multi-energy coordinated control method according to claim 3, characterized in that, The response time for green electricity priority judgment in step S2 is ≤10ms, and the start-up delay of the mobile high-efficiency range extender in step S4 is ≤20ms, ensuring that the overall power supply switching delay is ≤30ms.

8. The multi-energy coordinated control method according to claim 3, characterized in that, The preset threshold 1 in steps S3 and S4 is 20%-30% and threshold 2 is 80%-90%, which can be adjusted according to the user's power consumption scenario: in emergency scenarios, threshold 1 can be increased to 30%-40%, and in industrial and commercial scenarios, threshold 2 can be reduced to 70%-80%.

9. The multi-energy coordinated control method according to claim 3, characterized in that, The grid connection condition judgment in step S3 includes grid voltage and frequency stability detection. When the grid voltage fluctuation is ≤ ±5% and the frequency fluctuation is ≤ ±0.5Hz, it is determined that the grid connection condition is met. When the surplus power is transmitted, a PCS converter is used to achieve power smoothing control.

10. The multi-energy coordinated control method according to claim 3, characterized in that, It also includes remote monitoring steps: the intelligent central host communicates with the mobile APP through the cloud platform to upload power generation data, energy storage status, energy consumption analysis and fault alarm information in real time, and supports remote adjustment of threshold 1, threshold 2 and peak power period parameters.

11. A multi-energy coordinated distributed smart microgrid system according to claim 1, characterized in that, The expansion interface module of the intelligent central host adopts a standard 9-hole DC fast charging gun interface, and the DC cable supports a maximum current of 60A and a 15mm diameter. 2 Cables.

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