A mobile wind-solar-diesel-storage multi-energy complementary system

Abstract

The utility model relates to a mobile wind and light diesel storage multi-energy complementary system, including the multiple energy power generation unit, energy storage unit, load management unit and system control unit installed in the modular integrated frame structure, wherein, the multiple energy power generation unit includes photovoltaic power generation unit, wind power generation unit and diesel power generation unit, the energy storage unit is connected with the multiple energy power generation unit through the DC bus, and the system control unit gathers the operation data of multiple energy power generation unit, energy storage unit and load management unit and executes energy coordination control, the utility model is especially suitable for emergency rescue, field operation, remote area power supply and the like scene, has high reliability, fast deployment ability and all-weather adaptability technical characteristics.

Description

Technical Field

[0001] This utility model belongs to the field of new energy power generation and energy storage technology, and in particular to the research and development of key technologies and devices for mobile multi-energy complementary power supply systems. Background Technology

[0002] With the intensification of global climate change and the deepening of energy transition, the penetration rate of new energy sources in the power system continues to increase. However, their intermittent and fluctuating characteristics also pose challenges to the stable operation of the power system. At the same time, the demand for reliable power supply in special scenarios such as emergency rescue, field research, remote areas, and islands is becoming increasingly urgent. These areas are usually far from the main power grid and face the problem of power supply difficulties. Traditional single-energy power supply systems, such as pure diesel power generation or pure photovoltaic power generation, each have obvious shortcomings: diesel power generation is stable and controllable, but fuel transportation costs are high, environmental pollution is serious, and long-term operation and maintenance are complex; photovoltaic power generation and wind power generation are clean and environmentally friendly, but they are significantly affected by weather and diurnal variations, making it difficult to guarantee the continuity of power supply; relying solely on battery energy storage faces the problems of limited capacity and high cost.

[0003] Against the backdrop of rapid development in energy technology, multi-energy complementarity has become an important approach to solving the aforementioned problems. The complementary characteristics of renewable energy sources such as wind and solar power, combined with the stability of diesel generators and the regulation capabilities of energy storage units, can construct a more reliable and efficient power supply system. In recent years, multi-energy complementary systems have made significant progress in both theory and practice. However, most systems are fixed installations with poor mobility, making it difficult to meet the needs of rapid deployment; or they are large-scale and unsuitable for small-scale distributed applications. At the same time, the coordinated control of multi-energy complementary systems also faces technical challenges such as low energy utilization efficiency and insufficient system stability.

[0004] Meanwhile, the development of digital and intelligent technologies has provided new solutions for multi-energy complementary systems. The Internet of Things (IoT) makes real-time monitoring of equipment status possible; artificial intelligence algorithms enable more accurate load forecasting and energy dispatching; advanced power electronics technology improves energy conversion efficiency; and modular design concepts enable rapid system deployment.

[0005] Against this backdrop, conducting research on key technologies and developing equipment for a mobile wind-solar-diesel-storage multi-energy complementary system is of significant theoretical and practical value. This system will integrate solar, wind, and diesel power generation and storage technologies, combined with advanced energy management strategies, to construct a novel power supply solution with high mobility, high reliability, high efficiency, and strong environmental adaptability, providing robust support for power demands in special scenarios. Summary of the Invention

[0006] To address the technical problems existing in the aforementioned background technology, this utility model discloses a mobile wind-solar-diesel-storage multi-energy complementary system. This system integrates photovoltaic power generation, wind power generation, diesel power generation, and battery energy storage technologies. Through advanced energy management strategies, it achieves coordinated operation of multiple energy sources, solving the problems of single energy source, poor adaptability, and low efficiency of traditional mobile power systems. It is particularly suitable for emergency rescue, field operations, and power supply in remote areas, and features high reliability, rapid deployment capability, and all-weather adaptability.

[0007] 1. System integration and overall architecture design

[0008] This invention addresses the physical integration and spatial optimization of multi-energy systems by employing a modular integrated framework structure suitable for field environments and emergency scenarios. It maximizes space utilization through a systematic equipment layout method. Furthermore, considering the characteristics of mobile systems, this invention provides an innovative rapid deployment and storage mechanism, ensuring optimal functional integration within a limited space. The system's spatial layout fully considers thermal management, electromagnetic compatibility, and ease of maintenance among components, resulting in a highly integrated yet logically clear spatial structure.

[0009] Regarding the system's mobility and rapid deployment capabilities, this invention analyzes in detail the technical characteristics of both vehicle-mounted and trailer-mounted mobile platforms to provide a suitable mobile carrier for multi-energy systems. Simultaneously, this invention applies rapid installation and commissioning technology to ensure the system can be quickly put into use upon arrival at its destination. To improve deployment efficiency, this invention incorporates a one-button automatic deployment system, which uses intelligent control to achieve functions such as wind turbine raising and lowering, solar panel deployment and orientation, and automatic system leveling, minimizing the time from arrival at the site to system startup.

[0010] 2. Energy Management and Control Strategies

[0011] This invention employs a multi-energy coordinated control algorithm, utilizing an energy coordination and scheduling strategy based on weather and load forecasting to improve system energy utilization efficiency through predictive control. The algorithm uses a multi-objective optimization control method to seek the optimal balance between system stability, energy efficiency, and equipment lifespan. Furthermore, it employs real-time energy unit coordination technology to dynamically adjust the operating modes of each energy unit according to actual working conditions, achieving optimal overall system performance.

[0012] This invention addresses load demand forecasting and energy allocation. Targeting the load characteristics of different application scenarios, it establishes a load database through load identification and classification methods. Based on historical operating data, it utilizes a load forecasting algorithm to accurately predict future electricity demand. Based on the forecast results, it employs an intelligent energy allocation strategy to maximize renewable energy utilization, minimize diesel generator operating time, and reduce system operating costs and environmental impact while ensuring power supply reliability.

[0013] This invention establishes a multi-energy system status assessment model to monitor the operating status of each component in real time. It employs data analysis-based fault early warning and diagnosis technology to identify potential problems early and provide handling suggestions. For common faults, a self-healing control strategy is implemented, enabling the system to maintain normal operation of core functions through automatic reconfiguration and functional adjustment even in the event of partial component failure, thereby improving overall system reliability.

[0014] 3. Energy conversion efficiency optimization

[0015] The high-efficiency design of each energy unit is as follows: For the photovoltaic power generation unit, this invention employs a high-efficiency MPPT algorithm and automatic directional tracking technology to improve the light energy conversion efficiency. For the wind power generation unit, this invention adopts a blade design suitable for low wind speed environments and variable speed control technology to expand the effective wind speed range for power generation. Regarding diesel power generation, this invention incorporates intelligent diesel power generation control technology to achieve load-adaptive speed regulation and optimal operating conditions, thereby improving fuel utilization efficiency and reducing emissions.

[0016] To minimize energy conversion losses, this invention employs high-efficiency power conversion technology, optimizing the topology and control strategy of each stage of the converter to improve power conversion efficiency. This invention also utilizes an intelligent power allocation algorithm to dynamically adjust the power allocation ratio based on the current efficiency characteristics of each energy unit, ensuring the system always operates at its highest efficiency point. Furthermore, this invention incorporates a low-loss power transmission system, optimizing the internal power transmission path and reducing transmission losses.

[0017] Energy recovery and recycling: Addressing heat loss in the system, this invention employs waste heat recovery technology from diesel generator sets, converting waste heat into usable energy. It utilizes an energy cascade utilization method, prioritizing high-quality energy for high-precision loads and using lower-quality energy for secondary loads such as heating and lighting. Furthermore, this invention incorporates an energy regeneration and feedback system to recover load braking energy and temporary excess energy, thereby improving the overall energy utilization efficiency of the system.

[0018] 4. Energy Storage Unit Design

[0019] Energy storage capacity optimization: This invention employs an energy storage capacity optimization method to address the power consumption characteristics of different application scenarios, avoiding both excess and insufficient energy storage capacity. This invention incorporates dynamic configuration technology for energy storage units, enabling the system to flexibly adjust the number of energy storage modules according to task requirements. This invention provides a real-time energy storage capacity assessment system to monitor the actual usable capacity and health status of the battery, providing accurate data for system operation decisions. Attached Figure Description

[0020] To illustrate the technical solution of the present invention, a detailed description is provided below with reference to the accompanying drawings. The drawings are merely illustrative examples of preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention.

[0021] Figure 1 This is a schematic diagram of the overall system structure of this utility model.

[0022] Figure 2 This is a block diagram showing the functional modules of this utility model.

[0023] Figure 3 This is a circuit diagram of the load detection and intelligent management subsystem of this utility model.

[0024] Figure 4 This is the circuit diagram of the multi-energy power generation inverter subsystem of this utility model.

[0025] Figure 5 For the present utility model Figure 3 The multi-channel current detection and overcurrent protection circuit in the system.

[0026] Figure 6 For the present utility model Figure 3 The load classification and identification circuit in the middle.

[0027] Figure 7 For the present utility model Figure 3 Priority load adjustment circuit in the middle.

[0028] Figure 8 For the present utility model Figure 3 Isolated communication circuits in the system.

[0029] Figure 9 For the present utility model Figure 4 The PWM control output circuit in the middle.

[0030] Figure 10 For the present utility model Figure 4 The power conversion circuit in the middle.

[0031] Figure 11 For the present utility model Figure 4 The synchronous rectifier circuit in it.

[0032] Figure 12 For the present utility model Figure 4 LED status indicator circuit in the middle. Detailed Implementation

[0033] See Figure 1-12 The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments described herein are only some examples, and those skilled in the art can obtain other variations or improvements based on these embodiments without creative effort, and these improvements also fall within the protection scope of the present invention.

[0034] This utility model relates to a mobile wind-solar-diesel-storage multi-energy complementary system, which includes a multi-energy power generation unit, an energy storage unit, a load management unit, a system control unit, and a modular integrated frame structure.

[0035] The multi-energy power generation unit includes a photovoltaic power generation unit, a wind power generation unit, and a diesel power generation unit; the energy storage unit is connected to the multi-energy power generation unit through a DC bus to achieve bidirectional energy flow; the system control unit collects the operating data of each unit and performs energy coordination control; the modular integrated frame structure has foldable characteristics and supports vehicle-mounted or trailer-mounted transportation.

[0036] The photovoltaic power generation unit includes foldable photovoltaic panels and a photovoltaic controller employing a maximum power point tracking (MPPT) algorithm, which can automatically adjust the azimuth and tilt angles according to the angle of sunlight to improve the light energy conversion efficiency. The wind power generation unit includes a retractable wind turbine tower, a low-wind-speed start-up wind turbine, and a wind power controller. The tower height can be adjusted from 2 meters to 8 meters, and the wind turbine can start up in wind speeds as low as 2.5 meters per second.

[0037] The modular integrated frame structure is made of lightweight composite materials, which is shockproof, waterproof and dustproof. It is equipped with an intelligent temperature control system and shock absorption device inside, and a quick locking mechanism and hydraulic support system on the outside, which enables the system to complete the conversion from transportation state to working state within 15 minutes.

[0038] The diesel power generation unit includes a variable frequency speed-regulating diesel generator, an intelligent start-stop control device, and a waste heat recovery system. It can automatically adjust the speed and output power according to load requirements and convert engine waste heat into effective energy.

[0039] The energy storage unit includes a modular battery pack, a battery management system, and a bidirectional power converter. The battery pack uses lithium iron phosphate technology, supports more than 3,000 charge-discharge cycles, and can operate normally in a temperature range of -40℃ to +80℃.

[0040] The system control unit includes an energy management system, a load forecasting system, a condition monitoring and fault diagnosis system, and an environmental monitoring system, and adopts a multi-objective optimization control algorithm based on weather forecasting and load forecasting.

[0041] The load management unit includes a load hierarchy controller, a DC load interface, and an AC load interface. It can intelligently allocate power according to the importance of the load and the current energy status, and prioritize power supply to critical loads.

[0042] It also includes a remote monitoring interface and a one-click automatic deployment system, supporting 4G / 5G wireless communication and satellite communication to achieve remote monitoring and control under unattended conditions.

[0043] 1. Load Management Unit

[0044] A specific embodiment of this utility model is based on a load detection and intelligent management subsystem, such as... Figure 3 As shown. This subsystem is a core component of the load management unit in a mobile wind-solar-diesel-storage multi-energy complementary system, used to achieve accurate monitoring, intelligent classification, and priority management of system load.

[0045] This load detection and intelligent management subsystem has the following technical features:

[0046] Multi-channel current sensing technology: The system uses shunt resistors (such as...) Figure 5 A multi-channel current sensing network, consisting of RS1, RS2, and RS3 and precision operational amplifiers (AMP0, AMP1, and AMP2 series circuits in the diagram), enables high-precision real-time monitoring of multiple load currents in the system. The detection accuracy reaches ±1%, the sampling rate is up to 10kHz, and it can capture transient load characteristics.

[0047] Intelligent load classification and identification: based on FU6812L microcontroller ( Figure 6 The load characteristic identification algorithm implemented by U5 automatically identifies the load type (such as resistive, inductive, capacitive, etc.) by analyzing parameters such as the load's current waveform, power factor, and startup characteristics, providing a basis for system energy management decisions.

[0048] Dynamic load priority adjustment: The system adjusts load priority based on preset load importance levels and real-time monitored energy supply conditions via MOSFET drive circuits. Figure 7 The system (Q1~Q6) enables selective power supply to different loads, ensuring priority for critical equipment operation when energy is limited.

[0049] Multiple protection mechanisms: The system integrates overcurrent protection (detected via the I_shunt signal), short circuit detection, and overload protection functions. In abnormal situations, it can cut off the corresponding load within a microsecond response time to protect the system safety.

[0050] High-efficiency isolated communication: through optical coupler isolators ( Figure 8 The OP1 and OP2 interfaces provide electrical isolation for control signals, enhancing the system's anti-interference capability and safety. The system provides a standard UART interface (TX / RX) to support data exchange with the main control system.

[0051] Load power quality analysis: The system can calculate power quality parameters such as power factor and harmonic content of the load in real time, providing data support for the energy optimization and allocation of multi-energy systems.

[0052] Intelligent temperature management: The temperature of power devices and loads is monitored through NTC thermistors, and combined with intelligent cooling control algorithms, the system overheats and the service life of the equipment is extended.

[0053] Adaptive power conversion: Employing high-frequency PWM control technology (PWMIN signal), it achieves fine adjustment of load power, improving energy efficiency by more than 20% compared to traditional switching control.

[0054] This load detection and intelligent management subsystem enables comprehensive perception and precise control of load status, significantly improving the energy utilization efficiency and power supply reliability of the multi-energy complementary system. The system supports management of up to six independent loads, with a total power handling capacity of 2kW, making it suitable for various emergency power supply, field operations, and remote area power supply scenarios.

[0055] 2. Multi-energy power generation unit

[0056] Another key specific embodiment of this utility model is a multi-energy power generation inverter subsystem based on KA7500 / LM358, such as Figure 4 As shown in the figure, this subsystem is the core component of energy conversion in a mobile wind-solar-diesel-storage multi-energy complementary system. It is used to convert the DC power generated by various power generation units (photovoltaics, wind power, diesel) into standard 220V AC power to provide power for conventional electrical equipment.

[0057] This multi-energy power generation inverter subsystem has the following technical features:

[0058] Highly integrated PWM control: The system uses dual KA7500 PWM controller chips ( Figure 9 The U3 module forms the core of the full-bridge control system, achieving efficient DC-AC conversion through precise dead-time control and frequency adjustment. The control frequency can reach 50kHz, and the dead time is precisely controlled within the range of 400ns±50ns, effectively suppressing switching losses and EMI interference.

[0059] High-efficiency power conversion stage: Employs IRF840 / IRF540N MOSFETs ( Figure 10The full-bridge inverter circuit composed of Q1-Q4, combined with the high-frequency transformer T1 and the output LC filter network (L1, C1), achieves an energy conversion efficiency of up to 92%, which is significantly higher than the 85% efficiency level of traditional inverters.

[0060] Synchronous rectification technology: The output stage uses high-speed diodes ( Figure 11 The synchronous rectifier circuit composed of D4-D7 reduces conduction losses by 30% compared to traditional rectifier schemes, improves system efficiency, and reduces heat generation.

[0061] Intelligent cooling management: The temperature-controlled fan, controlled by a comparator and drive circuit, intelligently adjusts its speed based on the temperature of the power devices, ensuring heat dissipation while reducing energy consumption and noise.

[0062] Multi-energy adaptive input: The system has a wide range of DC input capability (12V-60V), automatically adapting to the different output characteristics of photovoltaic, wind power, diesel power generation and energy storage units, and achieving seamless switching and collaborative operation.

[0063] Pure sine wave output technology: Through a carefully designed PWM modulation algorithm and LC filter network, a pure sine wave output with a total harmonic distortion (THD) of less than 3% is achieved, meeting the power requirements of precision equipment.

[0064] Intelligent status indication: via LED indicator lights ( Figure 12 LED1 and LED2 in the middle display the system's working status, load level, and fault type in real time, which is convenient for users to monitor and maintain.

[0065] This multi-energy power generation inverter subsystem has a rated output power of 1000W and a peak power of up to 1500W, which can meet various power needs in scenarios such as field operations and emergency rescue. The system also has a reserved communication interface, which can interact with the main control system to achieve intelligent control and remote monitoring.

[0066] 3. System control unit based on FPGA and DSP

[0067] Another key technical embodiment of this invention is an intelligent energy management system based on FPGA and DSP. This system is the control core of a mobile wind-solar-diesel-storage multi-energy complementary system. Through high-performance digital signal processing and programmable logic technology, it realizes intelligent coordinated control of multiple energy sources, optimized energy allocation, and system status monitoring.

[0068] This intelligent energy management system has the following technical features:

[0069] High-performance heterogeneous computing architecture: The system adopts a heterogeneous computing platform composed of EP1C3T144 (Cyclone series FPGA) and TMS320F28335 (DSP), forming a dual-core architecture of "fast response + accurate calculation". The FPGA is responsible for high-speed data acquisition, interface control and parallel processing tasks, while the DSP focuses on complex algorithm execution and decision making, enabling the system to have both µs-level real-time response capability and the ability to implement complex energy optimization algorithms.

[0070] High-speed data acquisition and processing: The data caching system built with IS61LV25616 (high-speed SRAM) enables high-speed acquisition and processing of multiple data sources, including wind power generation, photovoltaic power generation, diesel power generation and energy storage units, with a sampling rate of up to 100kHz, providing a real-time and accurate data foundation for system decision-making.

[0071] Multi-protocol communication network: The system integrates multiple communication interfaces such as SPI (DCLK, DFS, DATA signals), I²C bus (SCL, SDA signals) and UART (P_TDI, P_TDO signals) to achieve seamless connection with various sensors, actuators and remote monitoring systems, and build a complete energy management network.

[0072] Intelligent energy dispatching algorithm: A multi-objective optimization algorithm implemented in DSP, combining weather forecast data and load forecasting models to calculate the optimal energy allocation scheme. This algorithm comprehensively considers multiple factors such as renewable energy availability, energy storage status, load demand, and equipment lifespan, ensuring the system always operates at its optimal efficiency point.

[0073] Real-time system status assessment: Parallel status monitoring logic implemented through FPGA is used to assess the working status of each component of the system in real time, including key parameters such as power generation efficiency, energy storage health status, and energy conversion efficiency, providing a comprehensive system status profile.

[0074] Adaptive control strategy: Automatically adjusts control parameters and operating strategies based on environmental conditions, load changes, and system status. For example, it prioritizes photovoltaic power generation when there is sufficient sunlight, switches to wind power and energy storage for power supply at night or during cloudy or rainy weather, and starts diesel generators under extreme conditions to ensure power supply continuity and maximize energy utilization.

[0075] System self-recovery mechanism: Through redundant design and automatic reconfiguration technology, the system automatically adjusts and restores functionality when some components fail. The reconfigurable nature of FPGAs enables the system to dynamically adjust resource allocation, ensuring that core functions are not affected by localized faults.

[0076] This intelligent energy management system achieves comprehensive perception, precise control, and optimized scheduling of multiple energy systems. Compared with traditional control schemes, it improves energy utilization efficiency by more than 20%, extends equipment lifespan by 30%, and significantly enhances the system's environmental adaptability and reliability. The system's computing power reaches 300 MIPS, meeting the real-time execution requirements of complex algorithms and making it suitable for energy management scenarios in various harsh environments.

Claims

1. A mobile wind-solar-diesel-storage multi-energy complementary system, characterized in that, It includes multi-energy power generation units, energy storage units, load management units, and system control units installed within a modular integrated frame structure; The multi-energy power generation unit includes a photovoltaic power generation unit, a wind power generation unit, and a diesel power generation unit; the energy storage unit is connected to the multi-energy power generation unit via a DC bus; the system control unit collects the operating data of the multi-energy power generation unit, the energy storage unit, and the load management unit and performs energy coordination control.

2. The mobile wind-solar-diesel-storage multi-energy complementary system according to claim 1, wherein, The photovoltaic power generation unit includes a foldable photovoltaic panel and a photovoltaic controller employing a maximum power point tracking algorithm.

3. The mobile wind-solar-diesel-storage multi-energy complementary system according to claim 1, wherein, The wind power generation unit includes a telescopic wind power generation tower, a low wind speed start-up type wind turbine, and a wind power generation controller. The tower height is 2-8 meters, and the wind turbine start-up wind speed is as low as 2.5 meters per second.

4. The mobile wind-solar-diesel-storage multi-energy complementary system of claim 1, wherein, The modular integrated frame structure is made of lightweight composite materials. The exterior of the modular integrated frame is equipped with a quick-locking mechanism and a hydraulic support system to realize the conversion from transportation state to working state.

5. The mobile wind-solar-diesel-storage multi-energy complementary system according to claim 1, wherein, The diesel power generation unit includes a variable frequency speed-regulating diesel generator, an intelligent start-stop control device, and a waste heat recovery system.

6. The mobile wind-solar-diesel-storage multi-energy complementary system of claim 1, wherein, The energy storage unit includes a modular battery pack, a battery management system, and a bidirectional power converter. The battery pack uses lithium iron phosphate batteries.

7. The mobile wind-solar-diesel-storage multi-energy complementary system according to claim 1, wherein, The system control unit includes an energy management system, a load prediction system, a condition monitoring and fault diagnosis system, and an environmental monitoring system.

8. The mobile wind-solar-diesel-storage multi-energy complementary system of claim 1, wherein, The load management unit includes a load grading controller, a DC load interface, and an AC load interface.

9. The mobile wind-solar-diesel-storage multi-energy complementary system of claim 1, wherein, It also includes a remote monitoring interface and a one-click automatic deployment system, supporting 4G / 5G wireless communication and satellite communication to achieve remote monitoring and control under unattended conditions.

10. The mobile wind-solar-diesel-storage multi-energy complementary system of claim 1, wherein, The modular integrated frame structure is foldable and supports vehicle-mounted or trailer-mounted transportation.

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